Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

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Dr. Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

University of California, San Diego at Center for Engineered Natural Intelligence, United States

Dr. Sebastián Pardo Guerra 🎓 is a distinguished mathematician and researcher at the Center for Engineered Natural Intelligence, University of California San Diego 🧠. With a Ph.D. from UNAM, his expertise spans pure mathematics—particularly module theory, lattice theory, and category theory—and their innovative applications in neuroscience, information theory, and quantum systems 🔬. He has published extensively in high-impact journals 📚, with several feature papers and editor’s picks in 2024–2025. A seasoned lecturer and active conference presenter 🎤, Dr. Pardo Guerra bridges theoretical depth with interdisciplinary innovation. His work reflects a unique synthesis of mathematical abstraction and real-world relevance, earning him recognition in both academic and applied domains 🌐. His scholarly excellence, international engagement, and commitment to advancing mathematical frontiers make him a strong candidate for top research honors 🏆.

Professional Profile 

🎓 Education

Dr. Sebastián Pardo Guerra holds a Ph.D. in Mathematics from the National Autonomous University of Mexico (UNAM) 🎓, where he also earned his M.S. and B.S. degrees in Mathematics. His academic journey reflects a deep commitment to foundational studies, with theses exploring Galois Theory, Abelian groups, and lattice preradicals 📘. His doctoral dissertation, On the Big Lattice of Lattice Preradicals, showcases early engagement with complex algebraic structures. Through prestigious CONACYT fellowships for both his master’s and doctoral studies 🏅, he demonstrated academic excellence and promise. His education laid a rigorous foundation for blending theoretical elegance with applied insight, positioning him to make substantial contributions at the intersection of algebra, logic, and emerging scientific domains 🔍.

💼 Professional Experience

Dr. Pardo Guerra is a researcher at the Center for Engineered Natural Intelligence, University of California San Diego (UCSD) 🧠, with a trajectory that includes appointments as a lecturer and postdoctoral researcher at UCSD and UNAM. From 2012 to 2019, he served as a mathematics lecturer at UNAM 🇲🇽, followed by postdoctoral roles in bioengineering and applied mathematics at UCSD 🌐. He currently contributes to cutting-edge projects integrating category theory with neuroscience and network theory. His dual focus on research and teaching spans over a decade of academic engagement, including recent instruction in Linear Algebra, Precalculus, and Vector Calculus 🧮. This combination of pedagogical strength and high-level research underpins his influential presence in both academic and applied mathematics spheres 🔧.

📚 Research Interests

Dr. Pardo Guerra’s research encompasses a compelling blend of pure and applied mathematics. In the pure domain, he focuses on module theory, lattice theory, and category theory 🧩—exploring structural properties and their implications in algebraic systems. In the applied space, he delves into neuroscience, information theory, and quantum information, applying advanced categorical frameworks to model complex, dynamic systems 🌐. His innovative use of preradicals to redefine information entropy and analyze network topologies exemplifies his unique methodological approach 🧠. By bridging abstract mathematics with emerging scientific challenges, his research offers novel insights into both foundational theory and interdisciplinary applications, contributing to the evolution of intelligent systems and computational structures ⚙️📊.

🏅 Awards and Honors

Dr. Pardo Guerra has received notable honors throughout his academic career, including the prestigious CONACYT Fellowships for both his M.S. and Ph.D. programs in Mexico 🇲🇽. These competitive awards recognize academic excellence and research potential among top Mexican scholars. His recent papers have earned “Feature Paper” and “Editor’s Choice” selections in international journals like Mathematics 📰—a testament to the originality and relevance of his work. His consistent presence at respected conferences such as BLAST, Ohio State–Denison Math Conference, and UCSD Colloquia further affirms his reputation within the global mathematics community 🌍. These accolades highlight his innovative thinking and valuable contributions to contemporary mathematical discourse 🏆.

🛠️ Research Skills

Dr. Pardo Guerra brings a powerful set of research skills combining deep theoretical insight with interdisciplinary modeling capabilities 🧠. He is adept at constructing and analyzing abstract structures within lattice theory, module theory, and category theory—fields requiring a high degree of mathematical precision 🔬. His work applies these constructs to neural networks, graph theory, and information systems, utilizing tools like preradicals, entropy models, and Markov categories. He is also proficient in academic writing, publishing, and presenting in both Spanish and English, and skilled in engaging audiences through lectures, seminars, and collaborative forums 🧾🎤. As a reviewer for Mathematical Reviews, he contributes to the peer-review process, underscoring his commitment to scholarly rigor and intellectual advancement ⚖️.

Publications Top Note 📝

Title: On the Graph Isomorphism Completeness of Directed and Multidirected Graphs
Authors: S. Pardo-Guerra, V.K. George, G.A. Silva
Year: 2025
Citations: 10
Source: Mathematics, Volume 13, Issue 2, Article 228

Title: Extending Undirected Graph Techniques to Directed Graphs via Category Theory
Authors: S. Pardo-Guerra, V.K. George, V. Morar, J. Roldan, G.A. Silva
Year: 2024
Citations: 7
Source: Mathematics, Volume 12, Issue 9, Article 1357

Title: Some Isomorphic Big Lattices and Some Properties of Lattice Preradicals
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega
Year: 2020
Citations: 5
Source: Journal of Algebra and Its Applications, Volume 19, Issue 7, Article 2050140

Title: Big Lattices of Hereditary and Natural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega
Year: 2021
Citations: 2
Source: Algebra Universalis, Volume 82, Issue 4, Article 52

Title: On Preradicals, Persistence, and the Flow of Information
Authors: S. Pardo-Guerra, G.A. Silva
Year: 2024
Source: International Journal of General Systems, Volume 53, Issues 7–8, Pages 1121–1145

Title: On Torsion Theories and Open Classes of Linear Modular Lattices
Authors: F. González-Bayona, S. Pardo-Guerra, H.A. Rincón-Mejía, et al.
Year: 2024
Source: Communications in Algebra, Volume 52, Issue 1, Pages 371–391

Title: On the Lattice of Conatural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega, et al.
Year: 2023
Source: Algebra Universalis, Volume 84, Issue 4, Article 29

Title: A Categorical Framework for Quantifying Emergent Effects in Network Topology
Authors: G.A.S. Johnny Jingze Li, S. Pardo-Guerra, Kalyan Basu
Year: 2025
Source: Neural Computation (in press)

Title: On Semi-Projective Modular Lattices
Authors: F.G. Bayona, S.P. Guerra, M.G.Z. Noriega, H.A.R. Mejía
Source: International Electronic Journal of Algebra, Pages 1–35

🧾 Conclusion

Dr. Sebastián Pardo Guerra is a dynamic and forward-thinking researcher whose contributions span theoretical depth and applied innovation 🌟. With solid academic credentials, international teaching and research experience, and a growing portfolio of impactful publications, he exemplifies excellence in mathematical sciences 📈. His work not only advances abstract algebraic theory but also pioneers new applications in intelligent systems and complex networks 🧠💡. Recognized through awards, invited talks, and feature publications, Dr. Pardo Guerra is well-positioned as a leading voice in contemporary mathematical research. His diverse expertise, professional integrity, and global academic engagement make him an outstanding candidate for high-level honors such as the Best Researcher Award 🏅.

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.

Subhan Ullah | Applied Mathematics | Best Researcher Award

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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 

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 🚀.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

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Dr. Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Post Doc at Nankai University, China

Dr. Yangshanshan Liu 🎓 is a postdoctoral researcher at the Chern Institute of Mathematics, Nankai University, specializing in Celestial Mechanics, Central Configurations, and Hamiltonian Systems 🌌. With a Ph.D. and Master’s degree from Sichuan University under the guidance of Prof. Shiqing Zhang, her work bridges mathematical theory and computational dynamics. She has published in high-impact journals such as SIAM J. Appl. Dyn. Syst. and J. Geom. Phys. 📚. A former award-winning high school math teacher 🧑‍🏫, Dr. Liu combines educational dedication with scholarly excellence. Her presentations at leading conferences like ICMS and AIMS 2024 🌍 reflect growing international recognition. With a passion for algebraic geometry and programming 💻, Dr. Liu is a rising researcher contributing meaningfully to the global mathematics community through both innovation and outreach.

Professional Profile 

Education 🎓

Dr. Yangshanshan Liu holds a Ph.D. and Master’s degree in Mathematics from Sichuan University, China, where she studied under Prof. Shiqing Zhang. Her doctoral thesis focused on Central Configurations in the Newtonian n-Body Problems with Homogeneous Potentials, while her master’s research addressed symmetric configurations in the planar five-body problem. She earned her Bachelor of Science in Mathematics from Liaoning University, with a thesis exploring stock index volatility using the ARCH model 📈. Her academic journey reflects a strong foundation in both pure and applied mathematics, complemented by analytical and computational rigor. Dr. Liu’s consistent academic excellence is marked by scholarships and recognition at all levels of her education, establishing her as a highly qualified and promising researcher in the mathematical sciences 📘.

Professional Experience 💼 

Dr. Liu is currently a postdoctoral researcher at the prestigious Chern Institute of Mathematics, Nankai University, under the supervision of Prof. Chaofeng Zhu. Since July 2023, she has actively contributed to theoretical research in dynamical systems and celestial mechanics. Prior to her academic career, she served as a Senior High School Mathematics Teacher at Rainbow Education (2010–2017), where she was recognized as “Outstanding Teacher of the Year” 🏆. Her professional path demonstrates a rare blend of teaching excellence and deep research engagement. From mentoring students to contributing original findings to high-level mathematical problems, Dr. Liu has shown versatility, leadership, and an unwavering commitment to the dissemination and advancement of mathematical knowledge at every stage of her career.

Research Interests 🔍

Dr. Liu’s research focuses on Celestial Mechanics, particularly the Newtonian n-Body Problem, Central Configurations, and Hamiltonian Systems. She also delves into Index Theory and Computational Algebraic Geometry, contributing both theoretical and computational insights. Her interdisciplinary approach connects classical mechanics with modern mathematical tools, such as programming and symbolic computation 💻. Dr. Liu aims to explore how geometric and topological methods can enrich our understanding of dynamical systems in higher-dimensional spaces. Her interests extend to practical applications and numerical simulations, facilitating broader applicability of abstract mathematical theories. This versatile research scope not only reinforces the depth of her expertise but also signals her ambition to solve complex real-world and theoretical problems in mathematical physics and geometry 🌌.

Awards and Honors 🏅

Dr. Liu has been recognized throughout her academic journey with numerous scholarships and awards. She received annual Ph.D. and Master’s scholarships from Sichuan University (2017–2023), and was named an Outstanding Graduate Student in 2020. She earned the Liu Yingming Scholarship in 2022, a notable recognition within the School of Mathematics. During her undergraduate years at Liaoning University, she received continuous scholarship support from 2006 to 2010 for academic excellence 📚. Her earlier career in education was equally decorated, earning her the “Outstanding Teacher of the Year” award in 2015 at Rainbow Education. These accolades reflect her diligence, talent, and commitment to both learning and teaching, solidifying her reputation as a dedicated and accomplished figure in the field of mathematics 🏆.

Research Skills 🧠

Dr. Liu possesses strong research skills in mathematical modeling, analytical computation, and dynamical systems. She is proficient in programming and computational algebraic geometry, allowing her to analyze and simulate complex n-body interactions with precision 💻. Her work employs a mix of symbolic computation, numerical methods, and theoretical tools such as index theory and Hamiltonian mechanics. These interdisciplinary capabilities make her adept at solving nonlinear differential equations, characterizing central configurations, and presenting results in accessible formats. Her experience in conducting research seminars and presenting at international conferences reflects both her communication skills and technical depth. These capabilities equip Dr. Liu to contribute significantly to emerging mathematical challenges and collaborative global research in applied and theoretical mathematics 🌐.

Publications Top Notes

  • Title: On the Uniqueness of the Planar 5-Body Central Configuration with a Trapezoidal Convex Hull
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2025
    Citation Count: Not yet available (recent publication)
    Source: Journal of Geometry and Physics, Volume 213, Article ID 105494
    DOI: 10.1016/j.geomphys.2025.105494

  • Title: Stacked Central Configurations with a Homogeneous Potential in ℝ³
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2023
    Citation Count: Not yet available
    Source: SIAM Journal on Applied Dynamical Systems, Volume 22, Issue 2, Pages 635–656
    DOI: 10.1137/22M1495032

Conclusion 🔬

Dr. Yangshanshan Liu is a well-rounded and accomplished mathematician with significant potential in the global academic landscape 🌍. Her transition from an award-winning educator to a productive researcher demonstrates not only her versatility but also a deep commitment to the mathematical sciences. With a focus on celestial mechanics and central configurations, backed by strong computational and analytical skills, Dr. Liu’s work addresses complex theoretical problems with clarity and innovation. Her publications in reputable journals, presentations at major conferences, and consistent academic honors position her as a strong candidate for recognition such as the Best Researcher Award 🏅. She continues to make meaningful contributions to her field, reflecting excellence, resilience, and intellectual rigor in every aspect of her academic career.

 

Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

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Dr. Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Ph.D at Quaid e Azam University Islamabad, Pakistan

Dr. Rahman Ullah Khan is an accomplished mathematician specializing in fractional differential equations and fixed point theory. 🎓 Currently pursuing his Ph.D. at Quaid-i-Azam University, Islamabad, his research focuses on the existence, uniqueness, and stability of solutions to complex fractional systems. His work combines rigorous mathematical theory with computational techniques, utilizing tools like MATLAB and Mathematica for numerical solutions. 💻 Dr. Khan has published several notable papers in high-impact journals, including Boundary Value Problems and Physica Scripta, showcasing his expertise in advanced mathematical analysis. 📚 He actively contributes to the academic community by presenting his findings at international conferences and engaging in teaching roles, mentoring future mathematicians. 🌍 Beyond his research, Dr. Khan has demonstrated leadership in organizing seminars and events to promote mathematical education and global collaborations. His dedication to advancing the field of pure mathematics, combined with his passion for knowledge-sharing, makes him a standout researcher. 🌟

Professional Profile 

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Education 📖🎓

Dr. Rahman Ullah Khan holds a Ph.D. in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, where he is currently conducting research on fractional differential equations and fixed point theory. 🎓 He completed his M.Phil. in Mathematics at the same institution, with an exceptional GPA, demonstrating his strong foundation in applied and pure mathematics. 📚 Throughout his academic journey, Dr. Khan’s thesis focused on solving fractional differential equations using advanced mathematical techniques, which showcased his commitment to solving complex mathematical problems.

Professional Experience ✨

Dr. Khan’s professional journey includes serving as a teaching assistant at Quaid-i-Azam University, where he taught fractional differential equations and applied mathematics. 📘 He has also worked as a private math tutor, helping students grasp complex mathematical concepts. Additionally, he has held leadership roles, including Vice President of the Quaidian Mathematical Society, and has organized seminars to enhance the academic community’s knowledge of mathematics. 🌐

Research Interests 🧮

Dr. Khan’s research interests are primarily centered on fractional differential equations and fixed point theory. 🧠 He focuses on solving fractional systems using fixed point theorems to establish solution existence, uniqueness, and stability. His work applies these concepts to real-world problems, using computational methods such as MATLAB to simulate and analyze results. 💡 His research aims to bridge the gap between theoretical mathematics and its applications in areas like engineering and physics, with an emphasis on making mathematical models more efficient and practical. 🔍

Awards and Honors 🏆

Dr. Khan has received recognition for his exceptional academic performance, including high GPAs in both his M.Phil. and Ph.D. programs. 🌟 His contributions to mathematics are widely respected, and his research articles have been published in reputable journals like Boundary Value Problems and Physica Scripta. 🏆 He has also been invited to present his findings at several international conferences, where his work on fractional differential equations has been well-received. 🌍

Conclusion🌍📚

Dr. Rahman Ullah Khan is a promising and passionate mathematician with a strong academic background and significant research contributions in the field of fractional differential equations and fixed point theory. 📈 His deep knowledge, combined with computational skills and leadership in the academic community, makes him an asset to the field of mathematics. With a commitment to advancing mathematical solutions for real-world problems, Dr. Khan is poised for further success in both research and teaching. 🌟 His dedication to knowledge-sharing and solving complex mathematical problems continues to inspire future generations of mathematicians.

Publications Top Notes

📘 On qualitative analysis of a fractional hybrid Langevin differential equation with novel boundary conditions
Authors: G Ali, RU Khan, Kamran, A Aloqaily, N Mlaiki
Year: 2024
Citation: Boundary Value Problems 2024 (1), 62
Source: Boundary Value Problems

🔍 The study of nonlinear fractional boundary value problems involving the p-Laplacian operator
Authors: AU Khan, RU Khan, G Ali, S Aljawi
Year: 2024
Citation: Physica Scripta 99 (8), 085221
Source: Physica Scripta

🌐 The Existence and Stability of Integral Fractional Differential Equations
Authors: RU Khan, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (5), 295
Source: Fractal and Fractional

📝 Some novel existence and stability results for a nonlinear implicit fractional differential equation with non-local boundary conditions
Authors: RU Khan, IL Popa
Year: 2025
Citation: Partial Differential Equations in Applied Mathematics 13, 101132
Source: Partial Differential Equations in Applied Mathematics

💡 New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (2), 127
Source: Fractal and Fractional

🔬 Existence and Stability of Implicit Fractional Differential Equations Involving the p-Laplacian Operator and Their Applications
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2024
Citation: Physica Scripta
Source: Physica Scripta

🧮 On the qualitative analysis of the boundary value problem of the Ψ-Caputo implicit fractional pantograph differential equation
Authors: RU Khan, M Samreen, G Ali, I Argyros
Year: 2024
Citation: Journal of Applied Math 2 (6), 1977-1977
Source: Journal of Applied Math

Sikander Ali | Applied Mathematics | Best Researcher Award

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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. 🧮💡

Professional Profile

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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

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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 🏆🔍.

Professional Profile 

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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

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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 

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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

 

Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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Prof. Dr. Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

Chief researcher at Scientific Research Institute for System Analysis of the National Research Center “Kurchatov Institute”, Russia

Dr. Boris Kryzhanovsky is a distinguished researcher with over five decades of experience in the fields of quantum electrodynamics, laser physics, and mathematical methods in neural networks, statistical physics, and nanotechnology. He graduated from Yerevan State University in 1971 and has since contributed significantly to scientific advancements. His work includes pioneering research in nonstationary four-wave mixing, the development of vector neural networks with large memory, and innovative methods for calculating partition functions of spin systems. Dr. Kryzhanovsky has published over 200 articles in renowned journals and holds an h-index of 19, reflecting the impact of his research. He is also the Editor-in-Chief of Optical Memory and Neural Networks and a Corresponding Member of the Russian Academy of Sciences. His leadership and extensive collaboration with international scientific communities further underscore his prominent role in advancing research in his fields of expertise.

Professional Profile 

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Scopus Profile
ORCID Profile

Education

Dr. Boris Kryzhanovsky completed his education at Yerevan State University, Armenia, where he graduated from the Physical Department in 1971. His academic foundation laid the groundwork for a distinguished career in scientific research. Throughout his career, Dr. Kryzhanovsky has maintained a strong commitment to advancing his knowledge in complex scientific fields, particularly in quantum electrodynamics, laser physics, and mathematical methods applied to neural networks and statistical physics. His early training at one of Armenia’s most prestigious universities provided him with the critical thinking and theoretical skills that have shaped his extensive body of work in these areas.

Professional Experience

Dr. Kryzhanovsky’s professional career spans over five decades, starting as a scientific researcher at the Institute for Physical Research in Armenia (1971-1991). He later worked at the Institute for Optical-Neuron Technologies RAS (1996-2006) and currently holds a chief researcher position at the Scientific Research Institute for System Analysis RAS. His career has seen significant contributions to the fields of neural networks and statistical physics, with leadership roles including Editor-in-Chief of Optical Memory and Neural Networks. Dr. Kryzhanovsky’s work is widely recognized for its deep theoretical insights and practical applications in various scientific domains.

Research Interests

Dr. Kryzhanovsky’s research interests are diverse, encompassing neural networks, statistical physics, and nanotechnology. He has made groundbreaking contributions in developing mathematical methods for the analysis of neural networks, especially focusing on vector neural networks with large memory for recognizing noisy patterns. Additionally, his work on the theory of nonstationary processes in quantum electrodynamics and the development of methods for calculating partition functions of spin systems highlights his interdisciplinary approach. His research also explores nanotechnology, particularly in relation to statistical mechanics, contributing to advances in both theoretical and applied physics.

Awards and Honors

Dr. Kryzhanovsky has received numerous honors throughout his career, underpinned by his significant contributions to scientific research. He is a Corresponding Member of the Russian Academy of Sciences and holds leadership positions in various academic and scientific societies. His work is frequently cited, reflected in his impressive h-index of 19 on Google Scholar, and he has authored over 200 journal articles in reputable SCI and Scopus-indexed publications. His professional standing and achievements are also evident from his role as Editor-in-Chief of Optical Memory and Neural Networks, further cementing his reputation in the scientific community.

Conclusion

Dr. Boris Kryzhanovsky is a highly respected researcher whose contributions to quantum electrodynamics, laser physics, neural networks, and statistical physics have had a profound impact on both theoretical and applied sciences. His academic background, coupled with extensive professional experience, has led to groundbreaking research that continues to shape the direction of several scientific fields. With a remarkable publication record and leadership roles within the scientific community, Dr. Kryzhanovsky remains a key figure in advancing knowledge and innovation. His achievements and dedication to research make him a standout in his field, deserving recognition for his substantial contributions to 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

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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