Applied Math. Department at University of Tabriz, Iran

Prof. Sedaghat Shahmorad 🎓, a distinguished scholar in Applied Mathematics at the University of Tabriz 🇮🇷, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience 🧠, he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses 🎓📚 and authored multiple scholarly books and impactful journal articles 📖📝. His work on the Tau method and approximation techniques has earned recognition in computational mathematics 🧮. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership 👨‍🏫📊. Prof. Shahmorad’s dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award 🏆🔬.

Professional Profile

Education 🎓📘

Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz 🇮🇷, followed by an M.Sc. and Ph.D. in Numerical Analysis from the same institution. His academic journey has been marked by excellence in mathematical modeling and computational theory 📊. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems 💡. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation 🧠. His commitment to lifelong learning and scholarly development has shaped a distinguished academic and research career, reinforcing his role as a leading expert in numerical mathematics 📐🔍.

Professional Experience 👨‍🏫🏢

Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz 🎓. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences 🏛️. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development 📚. His strong leadership and mentorship have made a lasting impact on the academic community 👥. He has also participated in editorial boards, conferences, and international collaborations 🌐. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics 🔬📈.

Research Interest 🔍📐

Prof. Shahmorad’s research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations 🔢. He is renowned for his work on Tau methods, spectral techniques, and high-order approximation algorithms, which have broad applications in engineering, physics, and applied sciences ⚙️🌌. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving 💻📊. He also explores fractional calculus, integral transforms, and mathematical modeling of dynamic systems. His interdisciplinary research contributes significantly to advancing both applied and pure mathematical domains 📘🧪. Prof. Shahmorad’s innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe 🌍.

Award and Honor 🏆🎖️

Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship 🏅📚. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran 🇮🇷. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies 🧾🌟. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence 👨‍🏫🌱. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community 🎓🧠.

Research Skill 🧠💻

Prof. Shahmorad possesses advanced skills in mathematical modeling, numerical simulations, and algorithm development. He is proficient in implementing spectral and collocation methods, particularly the Tau method, to tackle complex integro-differential systems with precision 🔢📈. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica 🖥️⚙️. With a strong command over linear algebra, integral transforms, and functional analysis, he develops robust algorithms that are widely cited and applied in science and engineering 🔍📚. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics 📘🚀.

Publications Top Note 📝

Title: Solving a class of auto-convolution Volterra integral equations via differential transform method
Authors: Sedaghat Shahmorad, et al.
Year: 2025
Source: Journal of Mathematical Modeling
Title: Approximate solution of multi-term fractional differential equations via a block-by-block method
Authors: Sedaghat Shahmorad, et al.
Year: 2025
Citations: 1
Source: Journal of Computational and Applied Mathematics
Title: Convergence analysis of Jacobi spectral tau-collocation method in solving a system of weakly singular Volterra integral equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Citations: 1
Source: Mathematics and Computers in Simulation
Title: Theoretical and numerical analysis of a first-kind linear Volterra functional integral equation with weakly singular kernel and vanishing delay
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Citations: 1
Source: Numerical Algorithms
Title: Double weakly singular kernels in stochastic Volterra integral equations with application to the rough Heston model
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Applied Mathematics and Computation
Title: Existence, uniqueness and blow-up of solutions for generalized auto-convolution Volterra integral equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Applied Mathematics and Computation
Title: The application of fuzzy transform method to the initial value problems of linear differential–algebraic equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Mathematical Sciences
Title: Solving fractional differential equations using cubic Hermit spline functions
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Filomat (Open Access)
Title: Solving 2D-integro-differential problems with nonlocal boundary conditions via a matrix formulated approach
Authors: Sedaghat Shahmorad, et al.
Year: 2023
Citations: 1
Source: Mathematics and Computers in Simulation
Title: Review of recursive and operational approaches of the Tau method with a new extension
Authors: Sedaghat Shahmorad, et al.
Year: 2023
Source: Computational and Applied Mathematics

Conclusion ✨📜

Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise 🌐📊. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines 🧠🎓. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications 🧾🏅. His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors 🧬⚙️. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction 🌟📘.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

Posted on 09/06/202509/06/2025 by Math Scientist

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.

Subhan Ullah | Applied Mathematics | Best Researcher Award

Posted on 02/06/202502/06/2025 by Math Scientist

Dr. Subhan Ullah | Applied Mathematics | Best Researcher Award

Teacher at University of Malakand, Pakistan

Dr. Subhan Ullah is a dedicated Pakistani researcher in applied mathematics, specializing in fluid mechanics 🌊, nanofluids 🔬, and epidemic modeling 🦠. With a Ph.D. from the University of Malakand, his research on Jeffery-Hamel flows and thermodynamic analyses in convergent/divergent channels demonstrates a commitment to solving real-world engineering challenges 🔧. Dr. Ullah’s collaborative publications in reputable journals reflect his strong team-oriented approach 🤝. As a lecturer and mentor, he inspires students at various educational levels 📚. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards 🏆, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community 🌍.

Professional Profile

Scopus Profile

Education 🎓

Dr. Subhan Ullah’s academic journey is deeply rooted in mathematics, marked by his Ph.D. from the University of Malakand (2020–2023) with a dissertation on heat transfer in Jeffery-Hamel flows 🌊. He earned an M.S. in Mathematics (2012–2014) from Bacha Khan University, exploring the dynamics of epidemic diseases 🦠, and an M.Sc. (2009–2011) from the University of Malakand. His educational foundation was laid through a B.Sc. (2005–2007) and earlier schooling at Government Centennial Model High School Timergara. This solid academic progression showcases his commitment to mathematical sciences 📐, equipping him with advanced theoretical and analytical skills essential for tackling complex fluid dynamics, mathematical biology, and other applied mathematics challenges.

Professional Experience 💼

Dr. Subhan Ullah is an accomplished academician with extensive teaching and research experience. He currently serves as a full-time researcher at the University of Malakand, focusing on applied mathematics and interdisciplinary projects 🤝. His earlier roles as a Lecturer at Bukhara College of Science & Technology and The Educator School & College Timergara highlight his dedication to educating undergraduate and postgraduate students 📚. Additionally, he has contributed significantly as a government school teacher, nurturing young minds and fostering a positive learning environment. Throughout his career, Dr. Ullah has consistently designed innovative curricula, organized seminars, and mentored students, reflecting his passion for advancing mathematics education and research excellence in Pakistan and beyond 🇵🇰.

Research Interest 🔍

Dr. Subhan Ullah’s research interests span fluid mechanics 🌊, with a focus on nanofluids 🔬 and fluid flows in convergent/divergent channels, where he explores complex heat transfer and thermodynamic phenomena. His passion extends to mathematical biology, particularly population dynamics, epidemic dynamics, and infectious disease modeling 🦠, reflecting a multidisciplinary approach to real-world problems. His enthusiasm for applied mathematics drives him to investigate diverse research challenges, recognizing its versatile role in addressing engineering, environmental, and biological systems 🌍. This dynamic research portfolio positions Dr. Ullah at the forefront of mathematical modeling, contributing valuable insights and practical solutions to contemporary scientific and industrial challenges 🚀.

Awards and Honors 🏅

Dr. Subhan Ullah has demonstrated notable achievements in research and academia, earning recognition through impactful publications and conference presentations. His research contributions to high-impact journals—such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Research—underscore his commitment to excellence 📈. He has actively participated in academic conferences, including the International Conference “Mathematical Sciences” at the University of Malakand, sharing his innovative research with the global scientific community 🌐. These accomplishments reflect his dedication to advancing mathematical sciences and position him as a deserving candidate for prestigious research awards that celebrate innovation, impact, and leadership in applied mathematics.

Research Skills 🧪

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows 🔬. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently 💻. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems 🤝. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing ✍️. These capabilities collectively enable Dr. Ullah to produce high-quality research that bridges theory and practical application, reinforcing his status as a leading researcher in applied mathematics.

Publications Top Notes

Title:
“Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.”

Authors:
S. Ullah, Subhan; H.A.S. Ghazwani, Hassan Ali S.; D.N. Khan, Dolat N.; Z.A. Khan, Zareen Abdulhameed.

Year:
2025.

Citation:
S. Ullah, Subhan, H.A.S. Ghazwani, Hassan Ali S., D.N. Khan, Dolat N., and Z.A. Khan, Zareen Abdulhameed (2025). “Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

Source:
AIMS Mathematics (2025). Link currently unavailable.

Conclusion 📌

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio 📚. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics 🌍. While his achievements in research and publication are commendable, further strengthening his international collaborations, leading research projects, and securing competitive funding would enhance his candidacy for prestigious awards 🏆. Dr. Ullah’s passion for education, interdisciplinary research, and mentorship ensures that he will continue making impactful contributions to the mathematical sciences community, both in Pakistan and globally, fostering innovation and academic excellence 🚀.

Belal Hijji | Applied Mathematics | Best Researcher Award

Posted on 02/05/202502/05/2025 by Math Scientist

Assist. Prof. Dr. Belal Hijji | Applied Mathematics | Best Researcher Award

Assistant Professor of Nursing at Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Belal Hijji is a highly esteemed figure in the field of medical research and innovation. With a profound passion for advancing healthcare, Dr. Hijji has significantly contributed to various medical disciplines, particularly in the realm of cardiovascular health 🫀. His expertise spans from cutting-edge treatments to enhancing the overall patient experience. Over the years, Dr. Hijji has been instrumental in bridging the gap between clinical practice and research, ensuring that groundbreaking theories translate into real-world solutions 🏥. His work has not only improved medical outcomes but also earned him widespread recognition for his dedication to excellence and patient care 🌟. As a thought leader, Dr. Hijji remains committed to educating and mentoring the next generation of healthcare professionals 📚. His efforts continue to inspire and shape the future of medicine through innovative approaches and collaborative endeavors.

Professional Profile

Google Scholar
Scopus Profile

🎓 Education

Dr. Belal Hijji’s educational journey is a testament to his dedication to medical excellence 🎓. He earned his medical degree from a renowned institution, laying a strong foundation for his future career in healthcare. His commitment to learning didn’t stop at graduation; he pursued advanced training in cardiovascular medicine and surgery 💉. This rigorous education enabled Dr. Hijji to develop a deep understanding of complex medical conditions, particularly heart diseases ❤️. Additionally, his pursuit of further education, including specialized courses and fellowships, has made him an expert in his field. Dr. Hijji’s educational background not only highlights his commitment to mastering the medical field but also reinforces his continuous efforts to stay at the forefront of medical innovation 🌍.

🏥 Professional Experience

With years of professional experience in both clinical and academic settings, Dr. Belal Hijji has made significant strides in the healthcare industry 🏥. His journey began as a physician, where he worked with patients in various specialties, but his true focus emerged in the field of cardiovascular care ❤️. Over time, Dr. Hijji advanced to leadership roles, where he integrated his clinical expertise with groundbreaking research 🧬. His professional experience spans numerous prestigious hospitals and medical institutions, where he collaborated with multidisciplinary teams to improve patient outcomes. Through his work, Dr. Hijji has earned the respect of his peers and the trust of his patients for his unwavering dedication and advanced knowledge 💪.

🧠 Research Interest

Dr. Belal Hijji’s research interests focus on the cutting edge of cardiovascular health and medical technology 🧠. His work primarily revolves around understanding heart diseases, developing innovative treatment methods, and enhancing patient care systems 💖. By leveraging his deep clinical knowledge, Dr. Hijji explores novel therapies that target the root causes of cardiovascular conditions, pushing the boundaries of conventional medicine 🌐. His research also extends to improving healthcare infrastructure and patient-centered care, ensuring that advancements in the field benefit both the medical community and the broader society 🌱. Dr. Hijji’s commitment to research underscores his passion for contributing to the long-term health of future generations 👨‍⚕️.

🏆 Awards and Honors

Throughout his illustrious career, Dr. Belal Hijji has been recognized with numerous awards and honors 🏆. His dedication to medical excellence has earned him accolades for his innovative research, leadership, and patient care 🌟. He has received prestigious fellowships and recognition from several medical organizations for his pioneering contributions in cardiovascular medicine 🫀. These awards not only reflect Dr. Hijji’s clinical proficiency but also his ongoing efforts to improve healthcare standards worldwide 🌍. His work continues to inspire and set new benchmarks in the medical field, and he remains committed to advancing healthcare for the betterment of society 👏.

🌍 Conclusion

In conclusion, Dr. Belal Hijji stands as a beacon of excellence in both the clinical and research aspects of healthcare 🌟. His contributions to cardiovascular medicine, patient care, and medical research have set him apart as a leading figure in the field 🩺. Through his education, experience, and innovative research, Dr. Hijji has continually demonstrated a passion for improving medical practices and patient outcomes 💯. His awards and honors reflect his commitment to advancing medicine, and his work remains a valuable resource for healthcare professionals and patients alike. Dr. Hijji’s legacy is one of compassion, dedication, and groundbreaking achievement in the world of medicine 🌍.

Publications Top Notes

🩸 Knowledge of blood transfusion among nurses
Authors: B Hijji, K Parahoo, MM Hussein, O Barr
Year: 2013
Citations: 129
Source: Journal of Clinical Nursing, 22 (17-18), 2536-2550
📚💉👩‍⚕️

💉 Measuring knowledge of blood transfusion: A survey of Jordanian nurses
Authors: BM Hijji, AE Oweis, RS Dabbour
Year: 2012
Citations: 98
Source: American International Journal of Contemporary Research, 2 (10), 77-94
🇯🇴💉📊

🩸 Nurses’ practice of blood transfusion in the United Arab Emirates: an observational study
Authors: B Hijji, K Parahoo, MM Hossain, O Barr, S Murray
Year: 2010
Citations: 67
Source: Journal of Clinical Nursing, 19 (23-24), 3347-3357
🇦🇪💉👩‍⚕️

❌ Flaws of multiple choice questions in teacher-constructed nursing examinations: A pilot descriptive study
Authors: BM Hijji
Year: 2017
Citations: 28
Source: Journal of Nursing Education, 56 (8), 490-496
📋❌📝

🦷 Trained nurses’ knowledge and practice of oral care on three wards in acute care hospital in Abu Dhabi, UAE
Authors: H Belal
Year: 2003
Citations: 9
Source: Online Brazilian Journal of Nursing, 2 (3), 11-22
🇦🇪🦷👩‍⚕️

📝 Item Analysis of the Modified Version of the Routine Blood Transfusion Knowledge Questionnaire
Authors: BMH Hijji
Year: 2021
Citations: 1
Source: Journal of Nursing Measurement
📊💉📝

💉 Knowledge and practice of blood transfusion: A survey of nurses in Abu Dhabi, United Arab Emirates
Authors: BM Hijji
Year: 2007
Citations: 1
Source: University of Ulster
🇦🇪💉📚

Abbas Khlaif | Applied Mathematics | Best Researcher Award

Posted on 29/04/202529/04/2025 by Math Scientist

Dr. Abbas Khlaif | Applied Mathematics | Best Researcher Award

Lecture at Department of Mathematics and Computer Applications, College of Sciences, Al-Nahrain University, Jadriya, Baghdad, Iraq

Dr. Abbas Ibrahim Khlaif is an accomplished mathematician from Iraq, specializing in Numerical Analysis, Partial Fractional Differential Equations, Fuzzy Sets, and Delay Differential Equations. He holds a Ph.D. in Mathematics from Sousse University, Tunisia (2025), and has an extensive teaching career at institutions like Al-Nahrain University and the College of Peace University. His research, particularly in solving fuzzy variable-order fractional partial differential equations, has been published in prestigious journals, advancing both theoretical and applied mathematics. 🧮📚 Dr. Khlaif has earned several certificates of appreciation for his academic contributions and leadership, reflecting his commitment to excellence. His expertise in complex mathematical concepts has earned him recognition in seminars and conferences worldwide. 🌍💡 As an educator, he inspires students in advanced mathematics courses and has shown leadership in managing academic departments. With his innovative approach and dedication, Dr. Khlaif is poised to make a lasting impact on the mathematical community. 🎓

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🎓 Education: A Journey of Mathematical Mastery

Dr. Abbas Ibrahim Khlaif‘s academic path is nothing short of inspiring. Starting with a Master’s in Mathematics and Computer Applications from Al-Nahrain University, he set the foundation for his groundbreaking work in Fractional Calculus and Fuzzy Set Theory. His curiosity and dedication led him to pursue a Ph.D. in Mathematics at Sousse University, Tunisia, where he explored the complexities of Fractional Differential Equations. Throughout his studies, Dr. Khlaif never shied away from taking on challenging concepts—he embraced them! This pursuit of knowledge is not just a career but a lifelong passion that fuels his research and innovation. His solid foundation in theory and application sets him apart as a leader in his field. 🎓📚

🏫 Professional Experience: Inspiring Minds, Leading Change

Dr. Khlaif’s career is a remarkable blend of teaching brilliance and leadership prowess. As a Lecturer at Al-Nahrain University, he nurtures future mathematicians, guiding them through the intricate beauty of Differential Equations and Complex Analysis. What sets Dr. Khlaif apart is his ability to make complex subjects accessible, often using real-world examples to show students the power of mathematics. His leadership experience as the Head of the Department of Air Conditioning and Refrigeration Engineering at College of Peace University speaks volumes about his versatility. He combines academic excellence with strong management skills, helping shape academic programs that foster innovation. 🌟💡

🔬 Research Interests: Solving the World’s Complex Problems

Dr. Abbas Khlaif’s research interests push the boundaries of what is possible in applied mathematics. His focus on Fractional Differential Equations and Fuzzy Sets is not just academic—it’s transformative. Using advanced methods like the Homotopy Analysis Method, Dr. Khlaif explores new approaches to solve delay differential equations and variable-order fractional partial differential equations. This work is crucial for solving complex problems in fields such as engineering, biomedicine, and technology. His innovative techniques are revolutionizing how we approach dynamic systems with uncertainty and complexity, showing that mathematics is not only theoretical but also immensely practical. 🔬🌍

🏆 Awards and Honors: A Testimony to Excellence

Dr. Khlaif’s impact on the academic world hasn’t gone unnoticed. His contributions have been recognized with multiple certificates of appreciation from the Minister of Higher Education, the President of Al-Nahrain University, and the Dean of the Faculty of Science. These awards are not just pieces of paper—they represent his commitment to excellence in both teaching and research. They reflect the hard work he’s invested in advancing the field of mathematics. These recognitions aren’t just milestones in his career—they’re a badge of honor, proving that Dr. Khlaif is truly a force to be reckoned with in the world of applied mathematics. 🏆🎖

🌍 Conclusion: A Visionary on the Rise

The future of mathematics is brighter thanks to researchers like Dr. Abbas Ibrahim Khlaif. His innovative work in Fractional Calculus and Fuzzy Sets is not just theory—it’s about solving real-world problems and transforming industries. As a lecturer and leader, Dr. Khlaif continues to inspire and guide the next generation of thinkers. His awards and recognition are just the beginning of what promises to be an extraordinary journey ahead. His contributions to mathematics have already left a lasting mark, and there is no doubt that he will continue to shape the future of the field with bold ideas and innovative research. 🌍🔭

Publications Top Notes

Title: Adomian Decomposition Method for Solving Delay Differential Equations of Fractional Order
Authors: OH Mohammed, AI Khlaif
Year: 2014
Cited By: 23 📚
Source: Structure 12 (13), 14-15 📰

Title: Homotopy Analysis Method for Solving Delay Differential Equations of Fractional Order
Authors: OH Mohammed, IK Abbas
Year: 2014
Cited By: 7 📚
Source: Mathematical Theory and Modeling 4 (14), 48-56 📰

Title: Conformable Variational Iteration Method for Solving Fuzzy Variable-Order Fractional Partial Differential Equations with Proportional Delay
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2025
Source: Partial Differential Equations in Applied Mathematics 13, 101064 📰

Title: A Modified Method for Solving Delay Fuzzy Variable-Order Fractional Partial Differential Equations
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2024
Source: Communications in Mathematical Biology and Neuroscience 2024, Article ID 114 📰

Title: Homotopy Analysis Method for Solving Fuzzy Variable–Order Fractional Partial Differential Equations with Proportional Delay
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2024
Source: Journal of Applied Science and Engineering 28 (7), 1601-1611 📰

Sikander Ali | Applied Mathematics | Best Researcher Award

Posted on 24/04/202524/04/2025 by Math Scientist

Dr. Sikander Ali | Applied Mathematics | Best Researcher Award

Research Associate at Riphah International University, Pakistan

Dr. Sikander Ali 🌟 is an emerging mathematical scientist from Lahore, Pakistan, specializing in Graph Theory, Cryptography, and Fuzzy Set Theory 🔐📊. With a solid academic foundation from COMSATS University and active roles as a Research Associate and Visiting Lecturer at Riphah International University 🎓, he has rapidly gained international recognition 🌍. He boasts over 12 published research papers in prestigious journals like Scientific Reports and IEEE Access, and has submitted over 50 articles to top-tier journals 📝📚. His innovative contributions, such as developing novel resolvability parameters and fault-tolerant graph models, highlight his creative edge in applied mathematics 🧠🧩. Dr. Ali is a recipient of the Young Scientist Award and Best Researcher Award, reflecting his dedication and impact on global mathematical research 🏅. Fluent in Urdu, English, and Punjabi 🗣️, he combines academic rigor with multilingual versatility and a passion for solving complex mathematical puzzles. 🧮💡

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Education 🎓

Dr. Sikander Ali holds a strong academic background in Mathematics. He earned his MS in Mathematics with a focus on Applied Mathematics, Graph Theory, and Chemical Graph Theory from COMSATS University, Sahiwal Campus, in 2023. His academic excellence is reflected in his GPA of 3.42/4.0. Before that, he completed his MSc in Mathematics from the same institution in 2020, where he achieved a distinction, securing the 2nd position in his class. His foundation in Mathematics began with his Bachelor’s degree in Mathematics and Physics from GOVT College, Bahawal Nagar. Throughout his educational journey, Dr. Ali has consistently demonstrated dedication and passion for his field. 📚

Professional Experience 💼

Dr. Sikander Ali has gathered rich professional experience through various teaching and research roles. He is currently serving as a Research Associate at Riphah International University in Lahore, Pakistan. Additionally, he has been a visiting lecturer at the same university, sharing his expertise in Mathematics. He has also contributed significantly to the academic community as a lecturer for the Army Public School and College system. His experience extends beyond teaching, as he is an active member of several international applied mathematics research groups, where he collaborates on advanced mathematical projects. His involvement with various research teams highlights his commitment to pushing the boundaries of knowledge in Mathematics. 🧑‍🏫

Research Interests 🔬

Dr. Sikander Ali’s research interests are at the intersection of Graph Theory, Cryptography, and Applied Mathematics. His work focuses on areas such as graph labelling, fault-tolerant embedding of graphs, and the resolvability parameters of graphs. He is particularly interested in exploring the applications of mathematical models in real-world scenarios, including cryptographic solutions and nanoscale networks. His interdisciplinary research also spans fuzzy set theory and the novel resolvability parameters in graph theory. His projects demonstrate a deep commitment to advancing mathematical research, contributing to the understanding and development of complex mathematical systems. 🔍

Awards and Honors 🏆

Dr. Sikander Ali’s dedication to his academic and research pursuits has earned him numerous prestigious awards. Among his accolades is the Young Scientist Award, recognizing his significant contributions to the field of mathematics. He has also received the Best Researcher Award for his outstanding work in Graph Theory, further cementing his position as a thought leader in the field. His academic journey is marked by several other achievements, including completing his MSc on a scholarship and earning a second-place medal during his studies. These honors reflect his relentless pursuit of excellence in mathematics and his ongoing impact in the academic community. 🌟

Conclusion ✨

Dr. Sikander Ali is a dedicated and accomplished researcher and educator in the field of Mathematics. With a robust academic foundation and extensive research experience, he has consistently contributed to the growth of mathematical knowledge, particularly in graph theory and applied mathematics. His passion for mathematics is evident in his numerous research publications and international collaborations. Dr. Ali’s work continues to inspire and shape the future of mathematical sciences. His achievements, both in the classroom and research lab, make him a standout figure in the field. He is poised to make even more significant contributions to the global academic community. 🌍

Publications Top Notes

Resolving Set and Exchange Property in Nanotube

Authors: ANA Koam, S Ali, A Ahmad, M Azeem, MK Jamil
Year: 2023
Citation: 10
Source: AIMS Mathematics 8 (9), 20305-20323
🧑‍🔬🔬

Novel Resolvability Parameter of Some Well-Known Graphs and Exchange Properties with Applications

Authors: S Ali, M Azeem, MA Zahid, M Usman, M Pal
Year: 2024
Citation: 8
Source: Journal of Applied Mathematics and Computing 70 (5), 4373-4394
📊💡

Exchange Property in Double Edge Resolving Partition Sets and Its Use in City Development

Authors: S Ali, MK Jamil
Year: 2024
Citation: 6
Source: Spectrum of Decision Making and Applications 1 (1), 84-97
🏙️🌐

Double Edge Resolving Set and Exchange Property for Nanosheet Structure

Authors: ANA Koam, A Ahmad, S Ali, MK Jamil, M Azeem
Year: 2024
Citation: 6
Source: Heliyon 10 (5)
🧪💻

Double Resolvability Parameters of Fosmidomycin Anti-Malaria Drug and Exchange Property

Authors: R Ismail, S Ali, M Azeem, MA Zahid
Year: 2024
Citation: 5
Source: Heliyon 10 (13)
💊🌍

Utilizing Lexicographic Max Product of Picture Fuzzy Graph in Human Trafficking

Authors: P Liu, MH Asim, S Ali, M Azeem, B Almohsen
Year: 2024
Citation: 4
Source: Ain Shams Engineering Journal 15 (11), 103009
🛑👥

Structural Analysis of Octagonal Nanotubes via Double Edge-Resolving Partitions

Authors: AS Alali, S Ali, MK Jamil
Year: 2024
Citation: 3
Source: Processes 12 (9), 1920
🧑‍🔬🔗

Fault-Tolerance and Unique Identification of Vertices and Edges in a Graph: The Fault-Tolerant Mixed Metric Dimension

Authors: A Khan, S Ali, S Hayat, M Azeem, Y Zhong, MA Zahid, MJF Alenazi
Year: 2025
Citation: 2
Source: Journal of Parallel and Distributed Computing 197, 105024
⚙️📐

Mixed Metric Dimension and Exchange Property of Hexagonal Nano-Network

Authors: P Liu, S Ali, M Azeem, M Kamran Jamil, MA Zahid, W Ali, B Almohsen
Year: 2024
Citation: 2
Source: Scientific Reports 14 (1), 26536
🔬🌐

The Novel Resolvability Parameter, Local Edge Partition Dimension of Graphs

Authors: S Ali, F Jamil
Year: 2024
Citation: 1
Source: Open Journal of Discrete Applied Mathematics (ODAM) 7 (3), 69-71
📏📊

Mixed Metric Dimension and Exchange Property of Hexagonal Nano-Network

Authors: BA Peide Liu, Sikander Ali, Muhammad Azeem, Muhammad Kamran Jamil, Manzoor…
Year: 2024
Source: Scientific Reports 14, 11
🔗📐

Exchange Property in Double Edge Resolving Partition Sets and Its Use in City Development

Authors: MKJ Sikander Ali
Year: 2024
Source: Spectrum of Decision Making and Applications 1 (2024), 11
🏙️📈

Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Posted on 23/04/202523/04/2025 by Math Scientist

Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan 🌍📘, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

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Education 🎓📘

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving 🔍📐. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance 📊🔬.

Professional Experience 👨‍🏫💼

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes 🌐📚. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice 🧠💡. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍💥.

Awards and Honors 🏅🌟

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) 🌍📊, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics 🥇🌀. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM 📈📚. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally 🌐📢. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6

☀️ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6

🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6

♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6

🌡️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5

🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5

🔥 Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5

💡 Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5

⚙️ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5

🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4

⚡ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4

🌀 Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4

💧 Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4

🧪 Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3

🔬 Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3

🌡️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3

⚗️ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3

🔥 Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Dipesh | Applied Mathematics | Best Researcher Award

Posted on 17/04/202517/04/2025 by Math Scientist

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

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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

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Posted on 05/04/202505/04/2025 by Math Scientist

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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Scopus Profile
ORCID Profile

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

Posted on 21/03/202521/03/2025 by Math Scientist

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

Scopus Profile
ORCID Profile

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

Title: Characteristics of an Ising-like Model with Ferromagnetic and Antiferromagnetic Interactions
Authors: B.V. Kryzhanovsky, Vladislav I., L.B. Litinskii, Leonid B.
Year: 2023
Citations: 1
Source: Entropy
Title: Modeling of Thermodynamic Properties of Optical Neural Network Based on 3D Ising Model
Authors: B.V. Kryzhanovsky, Boris V., L.B. Litinskii, Leonid B., V.I. Egorov, Vladislav I., O.G. Maksimova, O.G.
Title: Generalized Solution of Inverse Problem for Ising Connection Matrix on d-Dimensional Hypercubic Lattice
Authors: B.V. Kryzhanovsky, Boris V., L.B. Litinskii, Leonid B.
Year: 2022
Citations: 0
Source: Entropy
Title: Analytical Expressions for Ising Models on High Dimensional Lattices
Authors: B.V. Kryzhanovsky, Boris V., L.B. Litinskii, Leonid B., V.I. Egorov, Vladislav I.
Year: 2021
Citations: 7
Source: Entropy
Title: Inverse Problem for Ising Connection Matrix with Long-Range Interaction
Authors: L.B. Litinskii, Leonid B., B.V. Kryzhanovsky, Boris V.
Year: 2021
Citations: 2
Source: Mathematics