Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    • Authors: Wei Q., Zhang H. G.
    • Year: 2025
    • Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    • Authors: Zhang H. G., Wang S., Xie Y.
    • Year: 2025
    • Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    • Authors: Zhang H. G., Li T.
    • Year: 2023
    • Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    • Authors: Zhang H. G., Wenti Du, Yuchi Xie
    • Year: 2023
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    • Authors: Zhang H. G.
    • Year: 2022
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    • Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    • Year: 2021
    • Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    • Authors: Zhang H. G., Wu L.
    • Year: 2019
    • Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    • Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    • Year: 2019
    • Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    • Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    • Year: 2018
    • Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    • Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    • Year: 2017
    • Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    • Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    • Year: 2016
    • Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

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Prof. Misha Urooj Khan | Applied Mathematics | Best Researcher Award

AM (Tech) at CERN, Pakistan

Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. 🎓 With a master’s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. 💡 Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. 🛰️ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. 🌍 Recognized with awards and competitive startup funding, Prof. Khan’s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. 🏆

Professional Profile

📚 Education

Professor Misha Urooj Khan holds a Master’s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019–2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015–2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyber‑physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

💼 Professional Experience

Professor Khan’s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERN’s CMS experiment (2024–2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023–2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018–2022). Recently, at King Fahd University, she’s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

🔬 Research Interests

Professor Khan’s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurity—integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracle‑based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive fault‑diagnosis for rotary equipment, YOLO-based object detection, and AI‑enhanced decision support. In embedded systems, she specializes in FPGA‑based SLAM, real‑time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantum‑resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantum‑AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

🏅 Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on “Noise Modeling and Error Mitigation on Quantum Computers” at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCAST’23 and IEEC’21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAK‑AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

🛠️ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), real‑time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes 📝

  • Title: A comparative survey of lidar-slam and lidar based sensor technologies
    Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
    Year: 2021
    Citations: 156
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Artificial neural network-based cardiovascular disease prediction using spectral features
    Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
    Year: 2022
    Citations: 39
    Source: Computers and Electrical Engineering 101, Article 108094

  • Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
    Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
    Year: 2021
    Citations: 34
    Source: 2021 International Conference on Frontiers of Information Technology (FIT)

  • Title: Safespace mfnet: Precise and efficient multifeature drone detection network
    Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
    Year: 2023
    Citations: 33
    Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118

  • Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
    Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
    Year: 2020
    Citations: 31
    Source: 2020 International Conference on Electrical, Communication, and Computer

  • Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
    Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
    Year: 2021
    Citations: 29
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
    Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
    Year: 2021
    Citations: 28
    Source: ICAME21, International Conference on Advances in Mechanical Engineering

  • Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
    Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
    Year: 2021
    Citations: 23
    Source: 16th International Conference on Emerging Technologies (ICET)

  • Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
    Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
    Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
    Authors: MU Khan, A Mobeen, S Samer, A Samer
    Year: 2021
    Citations: 22
    Source: 6th International Electrical Engineering Conference (IEEC)

  • Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
    Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
    Year: 2021
    Citations: 21
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
    Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
    Year: 2021
    Citations: 19
    Source: 2021 International Conference on Computing, Electronic and Electrical

  • Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
    Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
    Year: 2021
    Citations: 18
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
    Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
    Year: 2024
    Citations: 5
    Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
    Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
    Year: 2024
    Citations: 5
    Source: IEEE Transactions on Geoscience and Remote Sensing

  • Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
    Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
    Year: 2021
    Citations: 5
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
    Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
    Year: 2025
    Citations: 4
    Source: International Journal of Intelligent Systems 2025 (1), Article 1351522

  • Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
    Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
    Year: 2022
    Citations: 4
    Source: Conference Publication

  • Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
    Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
    Year: 2021
    Citations: 3
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
    Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
    Year: 2025
    Source: arXiv preprint arXiv:2505.00839

  • Title: Migration of CADI to Fence
    Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
    Year: 2025

✅ Conclusion

Professor Misha Urooj Khan exemplifies a visionary researcher whose interdisciplinary breadth and leadership set her apart. With robust academic credentials, global professional experience at centers like CERN and NCP, and impactful publications and patents, she drives innovation in quantum-AI, embedded systems, robotics, and cybersecurity. Her product-oriented mindset—evident in startups like USteth and PAK‑AeroSafe—coupled with her mentoring of junior researchers, underscores both strategic vision and social impact. Her consistent accolades and scholarly presence (658 citations) affirm her research quality and influence. Combining groundbreaking technical achievements, real-world applications, and academic excellence, Professor Khan stands as a compelling candidate for top-tier research distinctions and awards.

Dipesh | Applied Mathematics | Best Researcher Award

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Dr. Dipesh | Applied Mathematics | Best Researcher Award

Assistant Professor at SR University, India

Dr. Dipesh is a dynamic and visionary scholar 🌟 whose research bridges the frontiers of mathematics, engineering, and innovation. With a profound commitment to academic excellence 📚, he has contributed significantly to applied mathematics and interdisciplinary modeling. His scholarly journey is marked by a trail of high-impact publications, collaborative projects, and a passion for advancing scientific knowledge through innovative methods 🧠🔬. Dr. Dipesh’s work seamlessly integrates theory and application, addressing real-world challenges with mathematical precision. As a dedicated educator and researcher 👨‍🏫, he inspires students and peers alike, fostering a culture of curiosity and discovery. Known for his strategic thinking and problem-solving acumen 🎯, he is a driving force in the global research community. His contributions not only elevate his field but also pave the way for future innovations in science and technology 🌐. Dr. Dipesh embodies the spirit of intellectual rigor, innovation, and global impact. 🚀

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Dipesh’s academic voyage began with a thirst for discovery, leading him to earn top distinctions across his educational milestones. From undergraduate brilliance to postgraduate mastery, he consistently demonstrated scholarly agility. His doctoral pursuit was nothing short of transformative, delving deep into the realms of applied mathematics and computational modeling. With a blend of analytical sharpness and creative thought 💡, he shaped a thesis that resonated across disciplines. Through internships, fellowships, and global academic exposure 🌍, Dr. Dipesh embraced both classical theory and cutting-edge advancements, enriching his intellectual toolkit. His academic record reflects not just excellence, but evolution — an unrelenting quest for understanding the mathematical patterns that shape our world. With each degree, he built not just knowledge, but vision — a vision that continues to inspire every academic and professional arena he enters.

Professional Experience 

With a career rooted in purpose and propelled by passion, Dr. Dipesh has crafted a vibrant professional canvas. From research institutions to academic think tanks, he has donned multiple hats — as a lecturer, mentor, consultant, and principal investigator. His work echoes across domains like mathematical modeling, computational simulations, and interdisciplinary analytics 🔍. Through strategic collaborations and leadership in diverse research initiatives, he has translated theory into impact. His roles have spanned curriculum development, peer review, and technological innovation, each enriching his expertise. Dr. Dipesh brings not just experience, but engagement — an unwavering drive to uplift scientific inquiry and educational transformation 📈. Whether guiding students or steering complex projects, he embodies professionalism with a human touch. His journey is marked by meaningful milestones that reflect both depth and diversity — a true blend of intellect and initiative in motion.

Research Interest 🔬

Dr. Dipesh’s research universe orbits around the fusion of abstract theory and practical relevance. He thrives at the intersection of applied mathematics, machine learning, data-driven modeling, and real-world system optimization 🌐. Passionate about unraveling complex dynamics, his work ventures into fractional calculus, differential equations, computational intelligence, and interdisciplinary simulations. Dr. Dipesh views research as a living organism — evolving, adapting, and contributing to the scientific ecosystem. His investigations are not limited to academic curiosity; they aim to decode pressing global issues using mathematical clarity and innovation 🧠. From predictive algorithms to mathematical physics, he embraces complexity with elegance. A firm believer in cross-domain synergy, his inquiries often collaborate with fields like biology, environmental science, and artificial intelligence 🤝. Driven by both rigor and relevance, his research is a beacon for transformative insight and sustainable innovation.

Awards and Honors 🏆

Dr. Dipesh’s accolades reflect his commitment to excellence and his pioneering spirit. Recognized both nationally and internationally, he has received honors that celebrate not just his research, but his contribution to education and societal advancement 🌟. From best paper awards to research fellowships, he has built a distinguished legacy of merit. These recognitions stem from competitive platforms where innovation meets influence. Whether through academic forums, institutional commendations, or international conferences 🌍, his work has earned applause and admiration. His awards are more than trophies — they are testaments to his intellectual resilience, collaborative ethos, and trailblazing ideas. A mentor to many and a leader in thought, Dr. Dipesh’s decorated career is a living narrative of perseverance, curiosity, and global contribution 🏅. These honors reaffirm his role as a changemaker in the ever-expanding sphere of mathematical sciences.

Conclusion 🧭

Dr. Dipesh stands as a luminary whose path fuses intellect, imagination, and impact. His academic roots, professional ventures, and research brilliance have built a profile defined by depth and dynamism 🌈. More than just a mathematician, he is a storyteller of systems, a bridge between theory and transformation. Every equation he solves and every model he constructs echoes his belief in knowledge as a catalyst for change. As a scholar, mentor, and visionary, he continues to shape minds and spark innovation across continents 📚✨. Dr. Dipesh doesn’t just follow the path — he crafts it, inspiring future thinkers to ask bold questions and dream without limits. His legacy is not only found in published pages or professional positions, but in the lives he touches and the paradigms he shifts 🔄. He is a vibrant force — ever-evolving, ever-inspiring, and ever-forward.

Publications Top Notes

  • 🌿 Effect of time delay on dynamic of plant competition under allelopathy
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 11
    Source: Mathematical Methods in the Applied Sciences

  • 🌲 Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: Dipesh, P. Kumar, C. Cattani
    Year: 2023
    Citations: 10
    Source: International Journal of Mathematics and Computer in Engineering

  • 🌱 Effect of time-lag on two mutually competing plant populations under allelochemicals
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 10
    Source: Journal of Physics: Conference Series 2267 (1), 012019

  • 🔬 Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite composites
    Authors: Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Year: 2023
    Citations: 6
    Source: Nano-Structures & Nano-Objects 36, 101035

  • 🧪 Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Authors: Dipesh, P.K.
    Year: 2023
    Citations: 6
    Source: Chaos, Solitons & Fractals 171, 113457

  • 🌾 Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 6
    Source: AIP Conference Proceedings 2435 (1)

  • 📈 Modeling and analysis of demand-supply dynamics with a collectability factor using DDE in economic growth via the Caputo operator
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 5
    Source: AIMS Mathematics 9 (3), 7471–7191

  • 🌿 Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 3
    Source: Mathematics and Computing, 605–620

  • 🌱 Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 2
    Source: Emerging Advancements in Mathematical Sciences, 39–58

  • 💰 Stability Analysis of GDP-National Debt Dynamics using Delay Differential Equation
    Authors: Q. Chen, Dipesh, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Fractals, 2540059

  • 🌿 A novel approach to 6th-order DDEs in toxic plant interactions and soil impact: beyond Newton-Raphson
    Authors: Dipesh, P. Kumar
    Year: 2024
    Citations: 1
    Source: Physica Scripta 99 (6), 065236

  • 🧲 Exchange-coupling enhanced: Tailoring structural and magnetic properties of Dy iron garnet ferrite nanoparticles via La substitution
    Authors: Dipesh, A. Sharma, P. Kumar, J.V. Vas, R. Medwal, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Journal of Materials Research, 1–18

  • 📊 On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under delayed investment: A new DDE model
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Alexandria Engineering Journal 91, 510–515

  • 🔍 Unlocking the Potential of Garnet Ferrites: A Comprehensive Review on Properties, Preparation Methods, and Applications
    Authors: A. Sharma, Dipesh
    Year: 2024
    Citations: 1
    Source: Materials Performance and Characterization 13 (1), 1–36

  • 🔋 Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
    Authors: A. Sharma, Dipesh, H. Mahajan, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Next Generation Materials for Sustainable Engineering, 174–186

  • 🌲 Delay DDE model of forest biomass and competition between wood‐based and synthetic‐based industries
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 1
    Source: Mathematical Methods in the Applied Sciences

  • 🫀 Modelling the Role of Delay in Blood Flow Dynamics in the Human Body using DDE
    Authors: Dipesh, P. Kumar
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130602

  • 💹 On modeling the impact of delay on stock pricing fluctuations using DDE
    Authors: Y. Wang, Dipesh, P. Kumar, H.M. Baskonus, W. Gao
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130601

  • 🍃 Modeling and analyzing delay in plant responses under toxicity
    Authors: Dipesh, P. Kumar, H.M. Baskonus
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

  • 🌱 Effect of time delay on directional and stability analysis of plant competition for allelochemicals study
    Authors: Dipesh, P. Kumar, H.M. Baskonus, A. Ciancio
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

 

Saeed Ahmad | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Saeed Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at University of Malakand Chakdara, Pakistan

Dr. Saeed Ahmad is a distinguished researcher and academic in the field of applied mathematics, with a strong focus on dynamical systems, nonlinear analysis, and mathematical biology 🔬📈. He earned his Ph.D. from the University of Nottingham, UK 🇬🇧, where his work on semifluxons in long Josephson junctions gained international recognition 🌍. With over 20 high-impact publications in reputable journals such as Chaos, Solitons and Fractals and Physical Review B 📚🧠, Dr. Ahmad has contributed significantly to the understanding of fractional differential models in epidemiology and physics. Currently serving as an Assistant Professor at the University of Malakand 🇵🇰, he also mentors M.Phil. and Ph.D. scholars, fostering future generations of researchers 🎓👨‍🏫. His expertise spans real and complex analysis, PDEs, and nonlinear waves, underlining his versatility in mathematics 🧮📊. A recipient of a prestigious HEC scholarship, his academic journey is a testament to excellence and dedication ⭐🏅.

Professional Profile

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Education 🎓📘

Dr. Saeed Ahmad holds an impressive academic background rooted in excellence and global exposure. He completed his Ph.D. in Applied Mathematics from the prestigious University of Nottingham, United Kingdom 🇬🇧, focusing on the mathematical modeling of semifluxons in long Josephson junctions—a complex area blending physics and nonlinear analysis 🔬📐. Prior to his doctoral studies, he obtained his M.Phil. and M.Sc. degrees in Mathematics from leading Pakistani institutions, laying a strong foundation in real and complex analysis, differential equations, and functional analysis 📖🧠. Throughout his academic journey, Dr. Ahmad consistently achieved top ranks and received multiple scholarships for his outstanding performance 🏅✍️. His educational credentials are a testimony to his dedication, intellectual rigor, and commitment to advancing mathematical sciences on both theoretical and applied fronts 📊📏.

Professional Experience 🧑‍🏫💼

Dr. Saeed Ahmad is currently serving as an Assistant Professor in the Department of Mathematics at the University of Malakand, Pakistan 🇵🇰, where he plays a pivotal role in teaching, mentoring, and leading research initiatives. With over a decade of academic experience, he has guided M.Phil. and Ph.D. students in areas like nonlinear dynamics, fractional calculus, and mathematical biology 🎓🔬. His teaching philosophy blends analytical precision with real-world relevance, inspiring students to approach mathematics as a powerful problem-solving tool 🧮🧑‍🎓. In addition to his academic duties, Dr. Ahmad actively contributes to curriculum development, seminars, and interdisciplinary collaborations across departments 🤝📋. He has also participated in international conferences and workshops, enhancing his global academic engagement 🌍📢. His professional journey reflects a balanced blend of scholarly depth and educational leadership, making him a cornerstone of the university’s mathematical research community 🏛️📚.

Research Interests 🔍🧠

Dr. Saeed Ahmad’s research interests lie at the intersection of applied mathematics, nonlinear analysis, and mathematical modeling 📈🧬. He specializes in dynamical systems, fractional differential equations, and nonlinear wave phenomena—applying these concepts to real-world systems in physics, epidemiology, and engineering 🔧⚛️. His work on Josephson junctions, a quantum mechanical device, has garnered international recognition and continues to influence modern theoretical physics 🧲🌐. Additionally, Dr. Ahmad explores the dynamics of infectious disease models using fractional calculus to improve predictive accuracy in biological systems 🧫🦠. He has authored over 20 impactful research papers in leading journals such as Chaos, Solitons & Fractals and Physical Review B, demonstrating both depth and innovation 📚🚀. His interdisciplinary approach bridges theoretical rigor with practical applications, positioning him as a thought leader in mathematical sciences and beyond 🔬🧮.

Awards and Honors 🏆🎖️

Dr. Saeed Ahmad has been recognized for his academic and research excellence with numerous awards and honors that highlight his contributions to mathematics both nationally and internationally 🌟🌐. He was the recipient of a prestigious Higher Education Commission (HEC) scholarship for his Ph.D. studies in the UK, a testament to his exceptional academic merit and potential 🇵🇰🎓. His research publications have earned accolades in the form of high-impact citations, reflecting their value within the global scientific community 📖💡. Additionally, Dr. Ahmad has been invited as a speaker at various international conferences, recognizing his expertise in applied mathematics and nonlinear dynamics 🎤📊. His achievements underscore a career built on dedication, innovation, and the pursuit of knowledge. These honors not only reflect individual excellence but also contribute to raising the academic profile of his home institution and country 🏅📘.

Conclusion 📝📌

In summary, Dr. Saeed Ahmad stands as a dedicated scholar, educator, and researcher whose work in applied mathematics continues to make a lasting impact on both theory and real-world applications 🌍🔢. With a solid educational foundation, substantial teaching experience, and a strong portfolio of research contributions, he exemplifies the spirit of academic excellence and innovation 🧑‍🏫🧠. His interdisciplinary focus bridges mathematics with physics and biology, demonstrating the versatility and necessity of mathematical tools in solving modern scientific challenges 🧮🔬. Dr. Ahmad’s recognition through awards and international collaborations further cements his reputation as a respected figure in the global mathematical community 🏆🌐. As he continues to mentor students and publish groundbreaking research, his contributions will undoubtedly shape the future of applied mathematics and inspire the next generation of mathematical thinkers 📚🚀.

Publications Top Notes

  • Controllability of pantograph-type nonlinear non-integer order differential system with input delay

    • Authors: I. Ahmad, S.F. Ahmad, G. ur Rahman, Y. Karaca, Z.A. Khan

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Control Theory, Delay Systems, Fractional Calculus

  • Vectorial spatial solitons of left and right circularly polarized beams in a chiral atomic medium using complex light fields with spatial structure

    • Authors: R.T. Ahmad, B.A. Bacha, S.F. Ahmad, I. Ahmad

    • Year: 2025

    • Source: [Unspecified Journal]

    • Topic: Optics, Nonlinear Physics

  • Exposure to Acute Concentration of Malathion Induced Behavioral, Hematological, and Biochemical Toxicities in the Brain of Labeo rohita

    • Authors: S. Ullah, S.F. Ahmad, M.K. Ashraf, T. Iqbal, M.M. Azzam

    • Year: 2025

    • Source: Life

    • Topic: Ecotoxicology, Behavioral Neuroscience

  • Empowering silver and copper nanoparticles through aqueous fruit extract of Solanum xanthocarpum for sustainable advancements

    • Authors: G. Rahman, H. Fazal, A. Ullah, G. Zengin, A. Farid

    • Year: 2025

    • Citations: 6

    • Source: Biomass Conversion and Biorefinery

    • Topic: Green Chemistry, Nanotechnology

  • A new fractional infectious disease model under the non-singular Mittag–Leffler derivative

    • Authors: X. Liu, M. Ur Rahmamn, S.F. Ahmad, D.I. Baleanu, Y. Nadeem Anjam

    • Year: 2025

    • Citations: 15

    • Source: Waves in Random and Complex Media

    • Topic: Epidemic Modeling, Fractional Calculus

  • Control of scabies fluctuation during COVID-19 pandemic

    • Authors: Abdullah, S.F. Ahmad, W. Albalawi, N. Omer

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Infectious Disease Modeling, Public Health

  • Stability analysis and optimal control of a generalized SIR epidemic model with harmonic mean type of incidence and nonlinear recovery rates

    • Authors: S.R. Chawla, S.F. Ahmad, A. Khan, K.S. Nisar, H.M. Ali

    • Year: 2024

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Mathematical Epidemiology, Optimal Control

  • Coherent manipulation of vectorial soliton beam in sodium like atomic medium

    • Authors: B.A. Bacha, S.F. Ahmad, R.T. Ahmad, I. Ahmad

    • Year: 2024

    • Citations: 3

    • Source: Chaos, Solitons and Fractals

    • Topic: Quantum Optics, Solitons

  • Atom localization by damping spectrum of surface plasmon polariton waves

    • Authors: I. Shah, M.D.L. De la Sen, S.F. Ahmad, T.A. Alrebdi, A.H. Abdel-Aty

    • Year: 2024

    • Citations: 1

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Plasmonics, Atomic Physics

  • Beneficial Effects of Natural Alkaloids from Berberis glaucocarpa as Antidiabetic Agents: An In Vitro, In Silico, and In Vivo Approach

    • Authors: M. Alamzeb, S.T.A. Shah, H. Hussain, R.Q. Ullah, E.A. Ali

    • Year: 2024

    • Citations: 6

    • Source: ACS Omega

    • Topic: Drug Discovery, Natural Products, Diabetes

 

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

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Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

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Prof. Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Dr.Sci. at Institute for Informatics and Automation Problems NAS of Republic of Armenia

Professor Ashot Sergei Gevorkyan is a distinguished theoretical physicist and mathematician specializing in quantum physics, mathematical modeling, and complex dynamical systems. Serving as Head of Scientific Direction for Modeling of Multiscale Physical-Chemical Processes, he has significantly contributed to foundational quantum mechanics, quantum chaos, stochastic systems, and spin dynamics. With a PhD from Leningrad State University and a Doctor of Sciences from St. Petersburg State University, his career spans prestigious institutions across Armenia and Russia. Prof. Gevorkyan has led numerous international research projects, including INTAS and ISTC grants, and developed high-performance parallel algorithms for quantum simulations. His prolific publication record in leading journals like Foundations of Physics, Physics of Atomic Nuclei, and Particles highlights groundbreaking work on quantum vacuum, three-body systems, and self-organizing processes. A former editorial board member of the Journal of Computational Science (Elsevier), he continues to push the boundaries of quantum theory and computational modeling with remarkable depth and innovation.

Professional Profile 

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Education

Professor Ashot Gevorkyan earned his foundational education in theoretical physics and mathematics at the Leningrad State University, where he received his PhD in Physics and Mathematics in 1978. His doctoral work focused on nonlinear dynamical systems and quantum mechanics. He later earned the prestigious Doctor of Sciences degree in 1990 from the renowned St. Petersburg State University, cementing his expertise in the fields of quantum physics and applied mathematics. Throughout his academic journey, Prof. Gevorkyan has continually integrated rigorous mathematical frameworks with physical theory, demonstrating a strong interdisciplinary foundation. His academic background set the stage for decades of pioneering research at the interface of theoretical physics, stochastic dynamics, and computational modeling. In addition to his formal degrees, Prof. Gevorkyan has participated in numerous international workshops, advanced courses, and research collaborations, enriching his academic repertoire and keeping him at the forefront of contemporary physics and mathematical innovation.

Professional Experience

Prof. Ashot Gevorkyan has held a variety of prominent academic and research roles throughout his distinguished career. He began as a researcher at the Yerevan Physics Institute and later joined the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia, where he led groundbreaking work in theoretical modeling and computational physics. He also served as a professor at the State Engineering University of Armenia and collaborated internationally with institutions in Russia and across Europe. Currently, he is Head of the Scientific Direction for Modeling of Multiscale Physical-Chemical Processes. Prof. Gevorkyan has been a principal investigator in multiple large-scale international research projects under the auspices of INTAS, ISTC, and other funding bodies, focusing on quantum chaos, complex systems, and nonlinear dynamics. His leadership in scientific modeling and computational theory has earned him a reputation as a trailblazer in both academic and applied physics communities.

Research Interest

Prof. Ashot Gevorkyan’s research interests lie at the intersection of theoretical physics, quantum mechanics, and complex dynamical systems. He is particularly renowned for his work in quantum chaos, stochastic dynamics, and modeling of multiscale systems. His investigations explore the nature of quantum vacuum, self-organizing processes in quantum systems, and nonlinear spin dynamics in stochastic fields. He has also made notable advances in mathematical modeling using high-performance parallel computing to simulate many-body quantum systems and dissipative environments. His work often combines mathematical rigor with physical intuition, producing results that influence both theory and practical applications. Prof. Gevorkyan’s research portfolio extends to optical turbulence, quantum three-body problems, and fractal structures in open quantum systems. His cross-disciplinary approach has fostered collaborations across mathematics, physics, and computer science, contributing significantly to our understanding of complex physical phenomena and enabling new computational techniques in modern physics.

Award and Honor

Throughout his career, Prof. Ashot Gevorkyan has received numerous awards and honors recognizing his exceptional contributions to science. He has been honored by leading scientific institutions for his pioneering work in quantum theory and mathematical modeling. His projects have received support and recognition from international research programs such as INTAS (International Association for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union) and ISTC (International Science and Technology Center), reflecting the global impact of his research. He has been invited to serve as a keynote speaker and visiting scientist at several prominent international conferences and workshops. Prof. Gevorkyan also served on the editorial board of the Journal of Computational Science (Elsevier), a role that underscores his status as a leading voice in the computational physics community. These accolades affirm his influence in shaping contemporary research across theoretical and applied physics.

Conclusion

Professor Ashot Gevorkyan stands as a luminary in the fields of theoretical physics and computational mathematics. His deep expertise in quantum systems, chaotic dynamics, and complex modeling has not only advanced fundamental science but also provided new computational tools for understanding nature’s most intricate processes. With a career spanning over four decades, he has demonstrated an unwavering commitment to scientific excellence through research, teaching, and international collaboration. His interdisciplinary work bridges theoretical insights with practical innovations, setting a high standard in modern scientific inquiry. Recognized both nationally and internationally, Prof. Gevorkyan continues to inspire the global scientific community through his profound intellect, visionary ideas, and groundbreaking publications. His legacy is defined by a lifelong pursuit of knowledge and a passion for decoding the complexities of the universe through mathematics and physics.

Publications Top Notes

  • Title: General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2024
    Source: Particles, 2024

  • Title: Quantum Chromodynamics of the Nucleon in Terms of Complex Probabilistic Processes
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2024
    Citations: 1
    Source: Symmetry, 2024

  • Title: Time-Dependent 4D Quantum Harmonic Oscillator and Reacting Hydrogen Atom
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2023
    Citations: 1
    Source: Symmetry, 2023

  • Title: Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev, K.A. Movsesyan
    Year: 2022
    Citations: 2
    Source: Mathematics, 2022

  • Title: Hidden Dynamical Symmetry and Quantum Thermodynamics from the First Principles: Quantized Small Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2021
    Citations: 3
    Source: Symmetry, 2021

  • Title: Gamma Radiation Production Using Channeled Positron Annihilation in Crystals
    Authors: A.S. Gevorkyan, K.B. Oganesyan, Y.V. Rostovtsev, G. Kurizki
    Year: 2015
    Citations: 61
    Source: Laser Physics Letters, 12(7), 076002

  • Title: Dielectric Permittivity Superlattice Formation
    Authors: G.A. Amatuni, A.S. Gevorkyan, S.G. Gevorkian, A.A. Hakobyan, K.B. Oganesyan, et al.
    Year: 2008
    Citations: 60
    Source: Laser Physics, 18, 608–620

  • Title: Statistical Properties of Random Environment of 1D Quantum N-Particles System in External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan
    Year: 2010
    Citations: 45
    Source: Physics of Atomic Nuclei, 73, 320–325

  • Title: A Disordered 1D Quantum N-Particle System in an Environment under the Influence of an External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan, G.O. Sargsyan, et al.
    Year: 2010
    Citations: 44
    Source: Physica Scripta, 2010 (T140), 014045

  • Title: Quantum-Mechanical Channel of Interactions Between Macroscopic Systems
    Authors: R.S. Sargsyan, G.G. Karamyana, A.S. Gevorkyan, A.Y. Khrennikov
    Year: 2010
    Citations: 22
    Source: AIP Conference Proceedings, 1232(1), 267

  • Title: Random Motion of Quantum Harmonic Oscillator – Thermodynamics of Nonrelativistic Vacuum
    Authors: A.V. Bogdanov, A.S. Gevorkyan, A.G. Grigoryan
    Year: 1999
    Citations: 20
    Source: AMS IP Studies in Advanced Mathematics, 13, 81–112

  • Title: Bioscope: New Sensor for Remote Evaluation of the Physiological State of Biological Systems
    Authors: R.S. Sargsyan, A.S. Gevorkyan, G.G. Karamyan, V.T. Vardanyan, et al.
    Year: 2011
    Citations: 15
    Source: Physical Properties of Nanosystems, 299–309

  • Title: Three Body Multichannel Scattering as a Model of Irreversible Quantum Mechanics
    Authors: A.V. Bogdanov, A.S. Gevorkyan
    Year: 1997
    Citations: 13
    Source: arXiv preprint, quant-ph/9712022

  • Title: Nonrelativistic Quantum Mechanics with Fundamental Environment
    Author: A.S. Gevorkyan
    Year: 2012
    Citations: 12
    Source: Theoretical Concepts of Quantum Mechanics, 161–187

  • Title: Retracted: New Mathematical Conception and Computation Algorithm for Study of Quantum 3D Disordered Spin System under the Influence of External Field
    Authors: A.S. Gevorkyan, C.K. Hu, S. Flach
    Year: 2010
    Citations: 12
    Source: Transactions on Computational Science VII, E1–E1

  • Title: Regular and Chaotic Quantum Dynamics in Atom-Diatom Reactive Collisions
    Authors: A.S. Gevorkyan, A.V. Bogdanov, G. Nyman
    Year: 2008
    Citations: 12
    Source: Physics of Atomic Nuclei, 71, 876–883

  • Title: Exactly Solvable Models of Stochastic Quantum Mechanics within the Framework of Langevin-Schroedinger Type Equations
    Author: A.S. Gevorkyan
    Year: 2004
    Citations: 11
    Source: Topics in Analysis and its Applications, 415–442

  • Title: A New Parallel Algorithm for Simulation of a Spin-Glass System on Scales of Space-Time Periods of an External Field
    Authors: A.S. Gevorkyan, A.G. Abadzhyan, G.S. Sukiasyan
    Year: 2011
    Citations: 10
    Source: Lab. of Information Technologies

 

Leonid Litinskii | Applied Mathematics | Best Researcher Award

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Dr. Leonid Litinskii | Applied Mathematics | Best Researcher Award

Retired at Scientific Research Institute for System Analysis (formerly), Russia

Dr. Leonid Litinskii is a retired principal research scientist with an extensive academic and professional background in mathematical methods and statistical physics. He graduated from Kharkiv State University, Ukraine, and held prominent positions at the Institute for High Pressure Physics, Russian Academy of Sciences, and the Scientific Research Institute for System Analysis. With over 50 years of research experience, Dr. Litinskii is known for his pioneering work in developing the theory of vector neuron networks and the n-vicinity method for calculating the partition function in the Ising model. He has published around 100 papers in renowned scientific journals and contributed to the study of eigenvalues in the Ising model’s connection matrix. Additionally, Dr. Litinskii has made significant contributions to the analysis of quadratic functionals in large binary variable systems. A member of the European Neural Networks Society, he has left a lasting impact on the fields of mathematics and neural networks.

Professional Profile 

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Education

Dr. Leonid Litinskii completed his education at Kharkiv State University (now V. N. Karazin Kharkiv National University) in Ukraine, where he studied mathematics from 1966 to 1971. This solid foundation in mathematics paved the way for his distinguished career as a scientific researcher. His academic journey has always been focused on applying mathematical methods to complex scientific problems, particularly in statistical physics and neural networks. His studies and early research experiences contributed significantly to his future breakthroughs in these fields.

Professional Experience

Dr. Litinskii’s professional career spans over five decades, with notable research positions at esteemed institutions. He began his career as a scientific researcher at the Institute for High Pressure Physics of the Russian Academy of Sciences from 1973 to 2001. From 2001 to 2023, he worked as a Principal Research Scientist at the Scientific Research Institute for System Analysis, also within the Russian Academy of Sciences. Throughout his career, Dr. Litinskii has contributed extensively to the fields of mathematical physics and neural networks.

Research Interest

Dr. Litinskii’s research interests are primarily centered around mathematical methods in statistical physics and their application to neural networks. He has developed the theory of vector neuron networks and formulated the n-vicinity method for calculating the partition function of the Ising model. His work on the properties of eigenvalues in the Ising model’s connection matrix has been a significant contribution to the field of computational physics. Additionally, Dr. Litinskii has focused on the study of quadratic functionals in large binary variable systems, advancing mathematical modeling techniques.

Award and Honor

Throughout his career, Dr. Litinskii has earned recognition for his groundbreaking work in neural networks and statistical physics. While the details of specific awards and honors are not provided, his long tenure as a Principal Research Scientist and his role in advancing the fields of mathematics and neural networks have earned him respect and recognition in the scientific community. He is a member of the European Neural Networks Society, further emphasizing his distinguished position in the research community.

Conclusion

Dr. Leonid Litinskii’s career is a testament to dedication, innovation, and scholarly excellence. With over 50 years of research experience, his contributions to mathematical physics, neural networks, and statistical physics have been substantial. His work in developing the theory of vector neuron networks and the n-vicinity method has had a lasting impact on these fields. Though he has not yet focused on patents or practical applications, his theoretical contributions remain foundational. Dr. Litinskii’s legacy is one of a leading thinker who has shaped the advancement of mathematical and physical sciences.

Publications Top Noted

 

 

Sabah Kausar | Applied Mathematics | Young Scientist Award

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Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausar’s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional Profile 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVO₄-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausar’s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiO₂/BiVO₄ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVO₄-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

Professional Profile

Google Scholar
ORCID Profile

Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

Ran Zhang | Applied Mathematics | Best Researcher Award

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Dr. Ran Zhang | Applied Mathematics | Best Researcher Award

Researcher at Nanjing University of Posts and Telecommunications, China

Ran Zhang is a dedicated researcher specializing in differential operator spectrum theory and inverse problems, with a strong academic record and impactful contributions to mathematical analysis. He has published extensively in prestigious journals such as Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, addressing critical problems in Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. As the host of national research projects, including those funded by the National Natural Science Foundation of China and Jiangsu Provincial Natural Science Foundation of China, he has demonstrated leadership in advancing theoretical mathematics. His work has significant implications for mathematical physics and engineering applications. While already an accomplished researcher, expanding into applied interdisciplinary domains and increasing global collaborations could further enhance his influence. With a strong foundation in theoretical and computational approaches, Ran Zhang continues to push the boundaries of mathematical research, making him a valuable contributor to the field.

Professional Profile

Scopus Profile
ORCID Profile

Education

Ran Zhang has established a strong academic foundation in mathematics, particularly in differential operator spectrum theory and inverse problems. His educational journey has been marked by rigorous training in advanced mathematical techniques, equipping him with the analytical and computational skills necessary for solving complex problems in spectral analysis. Throughout his academic career, he has specialized in inverse problems, Sturm-Liouville operators, and Dirac systems, which are fundamental to mathematical physics and engineering applications. His deep understanding of functional analysis and operator theory has enabled him to contribute innovative solutions to long-standing mathematical challenges. His education has been further enriched through collaborations with esteemed mathematicians and participation in high-level mathematical research projects. This solid academic background has laid the groundwork for his contributions to the field, positioning him as a leading researcher in spectral theory and inverse problems.

Professional Experience

Ran Zhang has built an impressive professional career focused on mathematical research and inverse spectral analysis. As a host of research projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has played a pivotal role in advancing theoretical mathematics. His work has been recognized in esteemed mathematical journals, reflecting the high impact of his research in spectral theory, Sturm-Liouville operators, and discontinuous differential equations. He has actively contributed to solving complex mathematical challenges and has worked closely with research teams, collaborating with renowned mathematicians across institutions. His experience extends beyond academia, as his research has potential applications in engineering, quantum mechanics, and applied physics. His ability to bridge theoretical mathematics with practical applications makes him a distinguished figure in the field. As he progresses in his career, expanding into interdisciplinary research and mentoring young mathematicians could further solidify his professional legacy.

Research Interest

Ran Zhang’s primary research interest lies in differential operator spectrum theory and its inverse problems, focusing on Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. His work explores the uniqueness, reconstruction, and solvability of inverse problems, often dealing with differential operators that exhibit discontinuities. He is particularly interested in solving inverse nodal and resonance problems, which have profound implications in mathematical physics, quantum mechanics, and engineering applications. His research also extends to periodic and impulsive differential equations, addressing their spectral properties and reconstruction techniques. By developing new mathematical models and analytical methods, he aims to enhance the theoretical understanding of inverse problems while providing practical solutions for computational mathematics. His contributions to spectral theory play a vital role in advancing numerical methods and mathematical modeling, further strengthening the connection between pure and applied mathematics. His future research aims to expand into multidisciplinary applications, fostering collaborations across physics, engineering, and computational sciences.

Awards and Honors

Ran Zhang’s research excellence has been recognized through several prestigious honors and awards. As the recipient of funding from the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has demonstrated his ability to lead impactful research projects. His published works in top-tier mathematical journals, such as the Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, underscore his significant contributions to spectral theory and inverse problems. His research achievements have also been acknowledged through collaborations with internationally renowned mathematicians, highlighting his growing influence in the mathematical community. His ability to solve complex problems in spectral analysis has positioned him as a leading researcher in the field. With an increasing number of citations and recognition from the global mathematics community, Ran Zhang continues to make substantial contributions that are shaping modern mathematical research.

Conclusion

Ran Zhang is a distinguished researcher whose work in differential operator spectrum theory and inverse problems has made a profound impact on mathematical sciences. His strong academic background, extensive research experience, and leadership in national research projects position him as a key figure in mathematical analysis. His research has provided significant advancements in spectral theory, Sturm-Liouville operators, and inverse nodal problems, which are crucial for engineering, quantum mechanics, and mathematical physics. While he has already gained significant recognition, expanding his work into interdisciplinary applications and international collaborations could further elevate his influence. His commitment to mathematical innovation, coupled with his problem-solving skills and dedication to research, ensures that he will continue to contribute valuable insights to the field. As he moves forward, his work will likely shape the future of spectral analysis, making lasting contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Title: Inverse spectral problems for the Dirac operator with complex-valued weight and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2021
    Citation: Journal of Differential Equations, 278: 100-110
    Source: Journal of Differential Equations

  • Title: Uniqueness and reconstruction of the periodic Strum-Liouville operator with a finite number of discontinuities
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Applied Mathematics Letters, 147: 108853
    Source: Applied Mathematics Letters

  • Title: Uniqueness theorems for the impulsive Dirac operator with discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Analysis and Mathematical Physics, 12(1): 1-16
    Source: Analysis and Mathematical Physics

  • Title: Determination of the impulsive Sturm-Liouville operator from a set of eigenvalues
    Authors: Ran Zhang, Xiao-Chuan Xu, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2020
    Citation: Journal of Inverse and Ill-posed Problems, 28(3): 341-348
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solving the inverse problems for discontinuous periodic Strum-Liouville operator by the method of rotation
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Results in Mathematics, 79(1): 49
    Source: Results in Mathematics

  • Title: Ambarzumyan-type theorem for the impulsive Sturm-Liouville operator
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2021
    Citation: Journal of Inverse and Ill-posed Problems, 29(1): 21-25
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solvability of an inverse problem for discontinuous Sturm-Liouville operators
    Authors: Ran Zhang, Natalia P. Bondarenko, Chuan-Fu Yang
    Year: 2021
    Citation: Mathematical Methods in Applied Sciences, 44(1): 124-139
    Source: Mathematical Methods in Applied Sciences

  • Title: Reconstruction of the Strum-Liouville operator with periodic boundary conditions and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Mathematical Methods in Applied Sciences, 45(8): 4244-4251
    Source: Mathematical Methods in Applied Sciences

  • Title: Determination of the impulsive Dirac systems from a set of eigenvalues
    Authors: Ran Zhang, Chuan-Fu Yang, Kai Wang
    Year: 2023
    Citation: Mathematics, 11(19): 4086
    Source: Mathematics

  • Title: Inverse nodal problem for the Sturm-Liouville operator with a weight
    Authors: Ran Zhang, Murat Sat, Chuan-Fu Yang
    Year: 2020
    Citation: Applied Mathematics – A Journal of Chinese Universities Series B, 35(2): 193-202
    Source: Applied Mathematics – A Journal of Chinese Universities Series B