Dr. Fred Legrand Tsafack Tayong | Computational physics in biological systems | Distinguished Scientist Award

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Dr. Fred Legrand Tsafack Tayong | Computational physics in biological systems | Distinguished Scientist Award

Faculty of Science – University of Douala, Cameroon

Dr. Fred Legrand Tsafack Tayong is a theoretical physicist specializing in nonlinear dynamics and complex systems, currently affiliated with the Fundamental Physics Laboratory, Department of Physics, Faculty of Science, University of Douala, Cameroon. He earned his PhD in Theoretical Physics from the University of Douala after completing his Master’s and Bachelor’s degrees in Physics at the same institution. His academic training is strongly grounded in mathematical modeling, analytical methods, and numerical simulations of nonlinear systems. Dr. Tsafack Tayong’s research focuses on nonlinear dynamics and chaos, van der Pol–type oscillators, stochastic dynamics, circadian rhythm modeling, and the application of nonlinear electronics concepts to biological systems. His doctoral research explored stochastic dynamics and entrainment phenomena in sleep–wake cycle models, contributing to a deeper understanding of biological oscillators under the influence of light and noise. He has published several peer-reviewed articles in reputable international journals, including Brazilian Journal of Physics, Nonlinear Dynamics, and Chaos, Solitons & Fractals, and actively collaborates with international researchers. Through his scientific contributions and conference presentations, he has gained academic recognition within the field of nonlinear physics. Dr. Tsafack Tayong continues to advance research at the interface of physics and biology, aiming to strengthen theoretical modeling approaches and foster scientific collaboration.

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Featured Publications

Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

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Mr. Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

University of Buner | Pakistan

Mr. Maaz Ali Khan is a mathematician specializing in solid mechanics with strong expertise in continuum mechanics, thermoelasticity, mathematical physics, and computational solid mechanics. Mr. Maaz Ali Khan holds a PhD in Mathematics from Qurtuba University of Science and Technology, an M.Phil. from COMSATS University Islamabad, and a BS in Mathematics from the University of Swat with outstanding academic performance and top academic honors. Mr. Maaz Ali Khan is serving as a Lecturer at the University of Buner, teaching undergraduate and postgraduate mathematics and mechanics courses. Mr. Maaz Ali Khan has authored multiple high-impact research publications, demonstrating advanced research skills in mathematical modeling, wave propagation, thermoelastic theories, and applied solid mechanics research.

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Featured Publications

Khan, M. A., Moussa, S. B., Jahangir, A., & Riaz, U. (2025).
Microstructure-Driven Wave Energy Control in Temperature-Dependent Fiber-Reinforced Composites: A Unified Micropolar Thermoelastic Model and Data-Driven Design.
Results in Engineering, 108811.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025).
Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects.
Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025).
Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model.
Case Studies in Thermal Engineering, 106926.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(2), 278–287.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Erratum to: Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(3), 592.

Maria Adam | Spectrum localization | Research Excellence Award

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Dr. Maria Adam | Spectrum localization | Research Excellence Award

 University of Thessaly | Greece

Dr. Maria Adam is a Professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece, with extensive expertise in spectral analysis, numerical ranges, numerical linear algebra, and matrix theory with applications to systems theory, algorithms, graphs, statistics, and biostatistics. She earned her PhD in Mathematics from the National Technical University of Athens, following a BSc in Mathematics from the University of Athens. Dr. Maria Adam has a distinguished academic career spanning professorial roles, international teaching appointments, and participation in major national and industrial research projects. She is an active journal reviewer, editorial board member, and conference organizer, contributing significantly to mathematical sciences research and education.

Citation Metrics (Scopus)

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Citations
171

Documents
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h-index
7

Citations

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h-index


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Featured Publications


Curves and Spectrum Localization of Real Matrices

– Linear Algebra and Its Applications, Vol. 733, 2026

Selection of the Fastest Solution of the Complex Riccati Equation

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

Arun Kumar | Mathematical Modeling | Best Researcher Award

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Dr. Arun Kumar | Mathematical Modeling | Best Researcher Award

IIT Mandi | India

Dr. Arun Kumar is a Research Associate (Postdoctoral) at the Indian Institute of Technology Mandi, specializing in mathematical and computational modeling of complex biological, ecological, and epidemiological systems. He earned his Ph.D. in Mathematics from Banaras Hindu University in 2023, following an M.Sc. in Mathematics from the same institution and a B.Sc. from CCS University, Meerut. His research focuses on nonlinear dynamics, bifurcation theory, delay differential equations, reaction–diffusion systems, Turing patterns, and the integration of deep learning and physics-informed neural networks (PINNs) for solving partial differential equations. Dr. Kumar has published extensively in high-impact journals on topics including SIR/SIRS epidemic models, cross-diffusion models, predator–prey dynamics, and pattern formation in spatial ecological systems. His work bridges theoretical mathematics and practical applications in disease modeling and ecology, offering insights into complex population interactions, control strategies, and spatio-temporal dynamics. Currently, he is developing deep learning algorithms to solve PDEs with applications in ecological and epidemiological systems. His ongoing research explores predator-prey interactions, learning in ecological models, and the forecasting of infectious diseases such as monkeypox. Dr. Kumar’s contributions have advanced the understanding of nonlinear systems, providing both analytical and computational tools for studying complex biological and ecological phenomena.

Profile : Google Scholar

Featured Publications

Gupta, R. P., & Kumar, A. (2022). “Endemic bubble and multiple cusps generated by saturated treatment of an SIR model through Hopf and Bogdanov–Takens bifurcations.” Mathematics and Computers in Simulation, 197, 1–21.

Gupta, R. P., Kumar, A., & Yadav, D. K. (2024). “The complex dynamical study of a UAI epidemic model in non-spatial and spatial environments.” The European Physical Journal Plus, 139(2), 117.

Yadav, D. K., Gupta, R. P., & Kumar, A. (2022). “Nonlinear dynamics of a three species prey-predator system incorporating fear effect and harvesting.” Journal of Mathematical Control Science and Applications.

Kumar, A., Gupta, R. P., & Tiwari, S. (2022). “Influences of nonlinear cross-diffusion on a reduced SI epidemic model with saturated treatment.”

Kumar, A., Kumari, N., Mandal, S., & Tiwari, P. K. (2025). “Autonomous and non-autonomous dynamics of an SIRS model with convex incidence rate.” Journal of the Franklin Institute, 108236.

Naima Rahiel | Public Health Analytics | Women Researcher Award

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Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

Keldysh Institute of Applied Mathematics, Russian Academy of Sciences | Russia

Dr. Alexander Churbanov is a senior scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, specializing in mathematical modeling, computational fluid dynamics (CFD), and coupled physical phenomena in porous media and viscous flows. He received his M.S. and Ph.D. degrees in Mathematical Modeling from Lomonosov Moscow State University in 1978 and 1988, respectively, with his doctoral thesis focused on numerical simulation of convective phenomena in technological facilities. Dr. Churbanov began his career as an engineer developing training systems for Soviet orbital flights at the Bureau of Space Research “ENERGIA” and later contributed to semiconductor material production modeling at the State Institute of Rare Metals Industry. Since 1988, he has served as a Senior Scientist at Keldysh Institute, where his research emphasizes the development of efficient algorithms and codes for CFD applications. He has authored 34 documents, including 25 SCI/Scopus-indexed journal papers, and his work has been cited 240 times, yielding an h-index of 8. His research interests encompass incompressible and slightly compressible viscous flows, coupled phenomena, open-source CFD software, and predictive modeling innovations. Recognized for contributions to mathematical modeling of coupled physical systems, Dr. Churbanov continues to advance computational methods, bridging theory and practical applications in engineering and applied sciences.

Profiles : Scopus | Orcid

Featured Publications

Churbanov, A. G., Churbanova, N. G., & Trapeznikova, M. A. (2023). “Coupled Prediction of Flows in Domains Containing a Porous Medium and a Free Stream.” Mathematical Models and Computer Simulations.

Churbanova, N. G., Trapeznikova, M. A., Churbanov, A. G., & Emets, V. V. (2023). “Prediction of Flows in an Automotive Catalytic Converter.” In Systems of Signals Generating and Processing in the Field of On-Board Communications, SOSG 2023 – Conference Proceedings.

Podryga, V. O., Churbanov, A. G., Tarasov, N. I., Polyakov, S. V., Trapeznikova, M. A., & Churbanova, N. G. (2022). “Multiscale Approach for Modeling Multiphase Fluid Flows in Installations for Reprocessing of Natural Gas.” Lobachevskii Journal of Mathematics.

Churbanov, A., Churbanova, N., Polyakov, S., & Trapeznikova, M. (2021). “Coupled Calculations of Flows in Domains Including a Porous Medium and a Homogeneous Fluid.” In Proceedings – 2021 Ivannikov Memorial Workshop, IVMEM 2021.

Polyakov, S. V., Trapeznikova, M. A., Churbanov, A. G., & Churbanova, N. G. (2021). “Prediction of Incompressible Flows in a Porous Medium-Free Stream System.” Keldysh Institute Preprints.

Hasanen A. Hammad | Functional Analysis | Best Researcher Award

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Assoc. Prof. Dr. Hasanen A. Hammad | Functional Analysis | Best Researcher Award

Qassim University-Sohag University | Saudi Arabia

Assoc. Prof. Dr. Hasanen A. Hammad is a distinguished mathematician specializing in Functional Analysis, currently serving at the Department of Mathematics, Sohag University, Egypt, and the College of Science and Arts, Qassim University, Saudi Arabia. He earned his Ph.D. (2018), M.Sc. (2015), and B.Sc. (2010, with honors) in Mathematics from Sohag University. With a prolific academic record, Dr. Hammad has published 149 research papers, accumulating 1,157 citations and achieving an h-index of 29 (Scopus). His research focuses on fixed point theory, fractional calculus, differential equations, variational inequalities, and nonlinear functional analysis, contributing significantly to the advancement of mathematical modeling and its applications. He actively serves as a reviewer and editor for prestigious journals, including AIMS Mathematics, Mathematics, Fractal and Fractional, and Journal of Computational and Applied Mathematics. Dr. Hammad has supervised and evaluated doctoral and master’s theses, and his recent works explore advanced fractional differential systems and stability analysis techniques. Recognized for his dedication to scientific excellence and peer review, he continues to foster international collaborations and mentor young researchers. His contributions underscore his commitment to innovation and the practical impact of mathematical sciences in solving complex theoretical and applied problems.

Profiles : Orcid | Scopus | Google Scholar

Featured Publications

Hammad, H.A., Aboelenen, T., & Abdalla, M.E.M. (2025). Optimal control and controllability theorems for impulsive Hilfer fractional integro-differential inclusions with numerical applications. Ain Shams Engineering Journal.

Hammad, H.A. & De la Sen, M. (2025). Existence and stability analysis of fractional differential quasi-variational inequalities with illustrative applications. Advances in Continuous and Discrete Models.

Hammad, H.A., Liu, Z., & Abdalla, M.E.M. (2025). Existence and stability results of f-Caputo modified proportional fractional delay differential systems with boundary conditions. Boundary Value Problems.

Hammad, H.A., Dafaalla, M.E., & Abdalla, M.E.M. (2025). Creating a novel algorithm for studying the strong convergence to a sequence with applications. PLOS ONE.

Hammad, H.A., Abdeljawad, T., & De la Sen, M. (2025). Solving nonlinear fractional equations and some related integral equations under a measure of noncompactness. Computational and Applied Mathematics.

Ke Hu | Petroleum Engineering | Outstanding Scientist Award

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Dr. Ke Hu | Petroleum Engineering | Outstanding Scientist Award

Dr. Ke Hu | Petroleum Engineering – University of Alberta | Canada

Dr. Ke Hu is a distinguished postdoctoral researcher specializing in the fields of mining engineering, geomechanics, energy storage, and subsurface fluid-rock interactions. Currently based at the University of Alberta, Canada, he is widely recognized for his interdisciplinary expertise that integrates experimental, modeling, and simulation approaches to investigate georesource extraction, energy storage in geological formations, and cement integrity for wellbore applications. Dr. Hu has published nearly 30 high-impact research papers in reputed journals such as Energy and Fuels, Fuel, Advanced Materials, International Journal of Hydrogen Energy, and Geothermics. He serves as a scientific editor and board member of respected academic journals and is an active reviewer for over 30 international publications. His academic journey and research trajectory reflect a deep commitment to addressing pressing challenges in clean energy, carbon capture and storage (CCUS), shale gas development, and underground hydrogen storage, making him a key contributor to global energy transition research.

Professional Profile

ORCID

SCOPUS

Education

Dr. Hu earned his Ph.D. in Mining Engineering from TU Bergakademie Freiberg, Germany, in September 2021, graduating with the distinction Magna Cum Laude. His doctoral work, supervised by Prof. Helmut Mischo, focused on high-pressure gas adsorption phenomena in shale formations and was recognized by the Society of Mining Professors, where he was shortlisted among the top three candidates for the prestigious Karmis PhD Fellowship in 2021. Prior to this, he completed his Master of Science in Mining Engineering from Chongqing University, China, in 2014, receiving both the National Scholarship for Postgraduates and the China Scholarship Council award. He also holds a Bachelor of Science in Mining Engineering from the same institution, completed in 2011. Dr. Hu’s academic training is firmly grounded in mining, rock mechanics, and geological fluid dynamics.

Experience

Dr. Hu currently serves as a Postdoctoral Fellow at the University of Alberta, where his responsibilities include designing and implementing high-temperature and high-pressure experimental setups, simulating thermo-hydro-mechanical (THM) processes, and conducting 3D microstructural characterization of cement and geological materials using advanced imaging tools like micro-CT. He is actively engaged in multiple major research projects funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Petroleum Technology Alliance Canada (PTAC), focusing on wellbore integrity and leakage mitigation in oil, gas, and CCUS wells. He has led experimental protocol development, proposal writing, equipment design, and the supervision of graduate and undergraduate students. His previous research roles in China included contributing to a national program on supercritical CO₂ and efficient shale development. Dr. Hu’s collaborative work has been presented at international conferences including the Society of Mining Professors Annual Meeting and ASME Offshore Engineering Conferences.

Research Interests

Dr. Hu’s research interests span a broad spectrum of energy and geoscience disciplines. His core expertise lies in high-pressure gas adsorption and modeling, shale and coal gas storage, cement-CO₂ interactions, and the mechanical behavior of rocks under extreme conditions. He is particularly focused on applications of nanoporous media for hydrogen and methane storage, enhanced gas recovery, and CCUS. His work often bridges experimental techniques with theoretical modeling, such as lattice density functional theory and dual-site Langmuir modeling, as well as multiscale simulations using tools like COMSOL Multiphysics. He also integrates 3D reconstruction software such as AVIZO and Dragonfly with experimental data to simulate and visualize subsurface behaviors. His methodological versatility also includes molecular simulations, pore-scale modeling, machine learning, and advanced experimental methods including FIB-SEM, XRD, mercury intrusion, and TGA.

Awards and Honors

Throughout his career, Dr. Hu has received several prestigious accolades that reflect both his academic excellence and research innovation. In 2021, he was recognized as one of the top three finalists for the Society of Mining Professors Karmis PhD Fellowship, an international recognition for outstanding doctoral research. During his postgraduate studies in China, he was awarded the National Scholarship for Postgraduates and the highly competitive China Scholarship Council award in 2014. His student supervision achievements include mentoring a Ph.D. candidate who received a scholarship from the China Scholarship Council and guiding undergraduate research assistants, one of whom was the recipient of the 2023 Dean’s Research Award from the University of Alberta’s Department of Civil and Environmental Engineering. As a respected academic editor, he currently contributes to the International Journal of Coal Science & Technology and Earth Energy Science, and is an active member of leading professional societies, including the Society of Petroleum Engineers (SPE), the International Adsorption Society (IAS), and the American Chemical Society (ACS). He also serves on the R&D and Industry Committee of the Society of Mining Professors (SOMP), demonstrating his dedication to bridging academic research with industry advancement.

Publications

 Evaluation of Permeability and Methane Adsorption Capacity through Nanopore Modeling: A Case Study of Shale in the Sichuan Basin

  • Authors: Ke Hu, Qian Li*, Yihua Gao, Wei Zhao

  • Journal: Energy and Fuels

  • Year: Accepted (2025)

Fractal Analysis of Pore Structure of Marine Shale in the Sichuan Basin Based on Experimental Investigation and Theoretical Modeling

  • Authors: Ke Hu, Zheng Wang, Fei Wang, et al.

  • Journal: Energy and Fuels

  • Year: 2025

Assessment of Hydrogen Adsorption Capacities on Low-Maturity Shales for Geological Storage Applications: A Lattice Density Functional Theory Approach

  • Authors: Rong Zheng, Ke Hu*, Ying Wu, et al.

  • Journal: Fuel

  • Year: 2025

 H₂ and CH₄ Adsorption on Coal: Insights from Experiment and Mathematical Model

  • Authors: Ke Hu, Bowen Liu, Yu Pang, et al.

  • Journal: International Journal of Hydrogen Energy

  • Year: 2025

Experimental Investigation of Penetration and Plugging Performance of Cement Blends Used for Squeeze Cementing in Sub 150 Micron Gaps

  • Authors: M. A. Thaika, Ke Hu, Ergun Kuru, et al.

  • Conference: SPE/IADC International Drilling Conference and Exhibition, Stavanger, Norway

  • Year: March 2025

 

John Rajan | Optimization Techniques | Best Researcher Award

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Dr. John Rajan | Optimization Techniques | Best Researcher Award

Vellore Institute of Technology, Chennai | India

Author Profile

Scopus
Orcid ID
Google Scholar

📌 Professional Summary

Prof. A. Johnrajan is an accomplished academician and researcher with over 26 years of teaching and research experience in Mechanical and Manufacturing Engineering. Currently serving as Professor at the School of Mechanical Engineering, VIT Chennai, he has made significant contributions in smart manufacturing, supply chain modeling, and sustainable engineering practices. His academic and leadership roles span top institutions like VIT Vellore and Sathyabama University.

🎓 Education

He earned his Ph.D. in Mechanical Engineering from Anna University, Chennai (2008) with a thesis on decision-making models for vendor evaluation. He holds a Master’s in Industrial Engineering from Thyagarajar College of Engineering (1994) and a Bachelor’s in Mechanical Engineering from National Engineering College (1990), following solid academic foundations at A.V. Hr. Sec. School, Paramakudy.

💼 Professional Experience

Prof. Johnrajan has held various senior academic positions, including Head of Department and Professor at Sathyabama University. He began his career as a Lecturer at Kalasalingam College of Engineering and Sathyabama Engineering College. His professional journey includes academic leadership, curriculum development, and collaborative research projects with government institutions like IGCAR, Kalpakkam.

📚 Academic Citations & Publications

He has authored 33 international journal papers, 4 national journals, and 36 conference papers, with 24 Scopus-indexed and 4 Web of Science publications. He is a recognized reviewer for journals like IEEE, Inderscience, and International Journal of Energy Research. His ResearchGate and Google Scholar profiles reflect impactful contributions to the engineering research community.

🛠️ Technical Skills

Skilled in simulation tools, manufacturing process optimization, quality control, and data analytics for smart systems. Expertise extends to IoT applications, Six Sigma, Blockchain for wastewater management, Industry 4.0, and Surface Engineering.

👨‍🏫 Teaching Experience

With a passion for pedagogy, he has delivered courses in Operations Research, Total Quality Management, Supply Chain Management, Production Planning, and IoT in Mechanical Engineering. He has mentored five Ph.D. scholars and is currently guiding two at VIT Chennai.

🔬 Research Interests

His interdisciplinary research covers smart manufacturing, supplier selection models, renewable energy systems, welding technology, blockchain applications, and solar PV technologies. He has published patents in blockchain-based mHealth data systems, industrial robotics, and big data analytics, with five more filings in progress.

🏅 Awards & Recognitions

Recipient of the National Merit Scholarship (1986–1990), he received the Best Faculty Award and Gold Medal from Sathyabama University in 2009 and Research Awards from VIT for his publications and patents in 2017 and 2019.

📖Publications

Promising Weld Depth of Penetration by Melting Point Depression Through TiO₂ Nano-Flux in Activated TIG Welding of Stainless Steel AISI 304L
  • Authors: M. Santhosh, A. John Rajan, T. Sampath Kumar, A. Vinoth Jebaraj, B. Kannan
    Journal: Transactions of the Indian Institute of Metals
    Year: 2025
Impact of Reverse Marangoni Convection and Arc Constriction on Flux-Based TIG Welding Processes of AISI 304L Stainless Steel
  • Authors: M. Santhosh, A. John Rajan, T. Sampath Kumar, A. Vinoth Jebaraj, B. Kannan
    Journal: Journal of Materials Research
    Year: 2024
 Vapour Polishing of Fused Deposition Modelling (FDM) Parts: A Critical Review of Different Techniques, and Subsequent Surface Finish and Mechanical Properties of the Post-Processed 3D-Printed Parts
  • Authors: Amal Mathew, S. Ram Kishore, Anchil Tona Tomy, M. Sugavaneswaran, Steffen G. Scholz, Ahmed Elkaseer, Vincent H. Wilson, A. John Rajan
    Journal: Progress in Additive Manufacturing
    Year: 2023
Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective
  • Authors: S. Raja, A. John Rajan, Indran Suyambulingam
    Journal: Advances in Polymer Technology
    Year: 2023
A Decision-Making Model for Selection of the Suitable FDM Machine Using Fuzzy TOPSIS
  • Authors: S. Raja, A. John Rajan, Punit Gupta
    Journal: Mathematical Problems in Engineering
    Year: 2022

 

Yasser Hamada – Mathematics – Best Researcher Award 

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Assoc Prof Dr. Yasser Hamada - Mathematics - Best Researcher Award 

Faculty of Computers&Informatics - Egypt

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Yasser Mohamed Hamada's academic journey began with a strong foundation in mathematics, culminating in a Ph.D. in Applied Mathematics in 2009. His early academic pursuits focused on developing a deep understanding of mathematical theories and their applications. With a Bachelor's in Mathematics followed by a Master's and Ph.D. in Applied Mathematics, Hamada demonstrated a commitment to advancing his knowledge in this field.

Academic Endeavors and Contributions

Throughout his academic career, Hamada has made significant contributions to the field of Applied Mathematics, particularly in Quantum Mechanics and the Theory of Nuclear Reactors. His research endeavors have led to the development of novel computational methods and numerical techniques for solving complex problems in neutron diffusion systems and reactor dynamics. His publications in reputable journals such as Progress in Nuclear Energy and Annals of Nuclear Energy attest to the rigor and relevance of his work.

Research Focus

Assoc Prof Dr. Hamada's research focus lies at the intersection of mathematics and nuclear engineering, where he applies advanced mathematical techniques to address challenges in reactor kinetics, neutron diffusion, and reactor stability. His innovative approaches, such as the use of fractional calculus and higher-order finite difference schemes, have advanced the understanding and analysis of nuclear reactor systems.

Accolades and Recognition

Assoc Prof Dr. Hamada's contributions have earned him recognition within the academic community, as evidenced by his publication record and his h-index of 10. His research has been cited by peers and experts in the field, highlighting the impact and significance of his work. Additionally, his appointment as an Assistant Professor and his involvement in academic leadership roles underscore his standing as a respected figure in his field.

Impact and Influence

Assoc Prof Dr. Hamada's research has had a tangible impact on the field of nuclear engineering, providing valuable insights and solutions to complex problems encountered in reactor dynamics and neutron transport. His computational methods and numerical techniques have practical applications in reactor design, safety analysis, and reactor operation. By bridging the gap between theory and practice, Hamada has contributed to the advancement of nuclear technology and the broader scientific community.

Legacy and Future Contributions

As an established researcher and educator, Hamada's legacy extends beyond his published work. Through his mentorship of students and his role in academic leadership, he is shaping the next generation of mathematicians and nuclear engineers. His dedication to scholarship and his pursuit of excellence serve as inspiration for aspiring researchers in the field. Looking ahead, Hamada is poised to continue making significant contributions to Applied Mathematics and nuclear engineering, further solidifying his legacy in the scientific community.

Citations

  • Citations   388
  • h-index      12
  • i10-index   13

Notable Publication