Jyotindra Prajapati | Applied Mathematics | Best Researcher Award

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Prof. Jyotindra Prajapati | Applied Mathematics | Best Researcher Award

Professor at Sardar Patel University, India

Dr. Jyotindra C. Prajapati (Ph.D. in Mathematics) is a dedicated academician and researcher with expertise in Special Functions, Integral Transforms, and Fractional Calculus 📘. With over 18 years of teaching and 8+ years of post-doctoral research experience 🧑‍🏫, he has published 60+ papers in reputed journals and authored scholarly books 📚. His innovative work on the generalized Mittag-Leffler function has been adopted by MATLAB 🧠💻. A committed mentor, he has guided several Ph.D. scholars, with one receiving a Best Thesis Award 🏆. He is actively involved in editorial boards of 50+ journals and holds membership in 16 professional societies 🌐. Recognized with prestigious awards like the Sardar Patel Research Award and International Earg Award 🥇, Dr. Prajapati continues to contribute significantly to mathematical research, education, and academic leadership 🌟.

Professional Profile 

Education 🎓

Prof. Jyotindra Prajapati holds a Ph.D. in Mathematics from the Sardar Vallabhbhai National Institute of Technology, Surat (2008), preceded by an M.Phil. from Sardar Patel University and an M.Sc. and B.Sc. from the Maharaja Sayajirao University of Baroda 📘. His academic path reflects a strong foundation in mathematical sciences, including both Mathematics and Statistics 🧠. With a consistent academic record and qualifications from renowned Indian institutions, he has developed deep theoretical knowledge and analytical skills. His educational journey has shaped his specialization in areas like Special Functions, Integral Transforms, and Fractional Calculus ➗, laying the groundwork for a prolific research and teaching career in higher mathematics. His academic achievements exemplify a solid and continuous commitment to learning, excellence, and intellectual development in the field of pure and applied mathematics 📐.

Professional Experience 👨‍🏫

Prof. Prajapati has more than 18 years of teaching and academic leadership experience at top institutions including Sardar Patel University, Marwadi University, and Charotar University 🏛️. He currently serves as a Professor in the Department of Mathematics at Sardar Patel University, Anand. His professional roles have included Head of Department, Academic Council member, IQAC committee member, and Principal of the Faculty of Science 🗂️. He has been involved in shaping curriculum, mentoring faculty, and conducting audits and evaluations. Through these roles, he has consistently demonstrated academic leadership, administrative competence, and commitment to quality education 🎯. His strong institutional engagement, combined with his passion for teaching and mentorship, positions him as a respected figure in academic governance and higher education management, contributing actively to university excellence and accreditation processes 📑.

Research Interest 🔬

Prof. Prajapati’s research interests lie in Special Functions, Integral Transforms, and Fractional Calculus 🔎. He is particularly known for his work on the Mittag-Leffler function, which has found global recognition and application, even being implemented in MATLAB’s function library 💻. His research is characterized by theoretical depth, originality, and applicability to complex mathematical problems in pure and applied domains. He continues to explore generalized functions, their analytical properties, and their use in solving differential equations and modeling problems. His interests bridge classical mathematical theory and modern computational approaches, contributing to fields such as mathematical physics and engineering mathematics ⚙️. Prof. Prajapati’s scholarly output demonstrates a blend of conceptual innovation and mathematical rigor, keeping his research at the forefront of evolving trends in mathematical sciences 📊.

Awards and Honors 🏅

Prof. Prajapati has received multiple accolades that affirm his academic excellence and scholarly impact. Notable among them are the Sardar Patel Research Award (2020) for contributions to basic and computer sciences and the International Earg Award (2024) for Outstanding Faculty of the Year 🏆. He is also a recognized reviewer for the American Mathematical Society’s MathSciNet 🧮, an honor reflecting trust in his academic judgment. Furthermore, his innovative work led MATLAB to incorporate a function based on his generalization of the Mittag-Leffler function—an exceptional achievement in applied research recognition 🌐. He has also mentored award-winning Ph.D. scholars, further amplifying his influence. These honors underscore his sustained commitment to advancing mathematical research and education at both national and international levels 🌟.

Research Skills 📚

Prof. Prajapati possesses exceptional research skills in mathematical analysis, symbolic computation, and theoretical modeling 🧠. He is proficient in developing generalized functions and exploring their properties through rigorous analytical methods. His capability to connect abstract mathematical theory to practical applications, as evidenced by the use of his function in MATLAB, highlights his problem-solving acumen 💡. As a published author of 60+ research papers and a book, he demonstrates strength in academic writing, peer collaboration, and international publication standards 📖. His involvement with 50+ editorial boards showcases his critical reviewing skills, while his ability to guide Ph.D. students reflects strong mentorship and supervision capabilities. With deep subject expertise, attention to mathematical detail, and a high level of intellectual discipline, his research skills are both broad and deeply specialized 🔬.

Publications Top Note 📝

  • Title: On a Generalization of Mittag-Leffler Function and Its Properties
    Authors: A.K. Shukla, J.C. Prajapati
    Year: 2007
    Citations: 652
    Source: Journal of Mathematical Analysis and Applications, 336(2), 797–811

  • Title: Fractional Calculus of Generalized k-Wright Function
    Authors: K.S. Gehlot, J.C. Prajapati
    Year: 2013
    Citations: 40
    Source: Journal of Fractional Calculus and Applications, 4(2), 283–289

  • Title: Fractional Integrals and Solution of Fractional Kinetic Equations Involving k-Mittag-Leffler Function
    Authors: M. Chand, J.C. Prajapati, E. Bonyah
    Year: 2017
    Citations: 33
    Source: Transactions of A. Razmadze Mathematical Institute, 171(2), 144–166

  • Title: Integral Inequalities Involving Generalized Erdélyi-Kober Fractional Integral Operators
    Authors: D. Baleanu, S.D. Purohit, J.C. Prajapati
    Year: 2016
    Citations: 29
    Source: Open Mathematics, 14(1), 89–99

  • Title: Fractional Calculus Approach to Study Temperature Distribution Within a Spinning Satellite
    Authors: J.C. Prajapati, K.B. Kachhia, S.P. Kosta
    Year: 2016
    Citations: 25
    Source: Alexandria Engineering Journal, 55(3), 2345–2350

  • Title: Some Properties of Wright-type Generalized Hypergeometric Function via Fractional Calculus
    Authors: S.B. Rao, J.C. Prajapati, A.D. Patel, A.K. Shukla
    Year: 2014
    Citations: 24
    Source: Advances in Difference Equations, 2014, Article ID 1–11

  • Title: On a Generalized Mittag-Leffler Type Function and Generated Integral Operator
    Authors: A.K. Shukla, J.C. Prajapati
    Year: 2008
    Citations: 23
    Source: Mathematical Science Research Journal, 12(12), 283–290

  • Title: New Laplace Transforms for the 2F2 Generalised Hypergeometric Functions
    Authors: P. Deepthi, J.C. Prajapati, A.K. Rathie
    Year: 2017
    Citations: 3
    Source: Journal of Fractional Calculus and Applications, 8(2), 150–155

  • Title: A Reduction Formula for the Appell Series F3 in Two Variables
    Authors: J.C. Prajapati, J. Choi, B.P. Patel, P. Agarwal
    Year: 2015
    Citations: 3
    Source: International Journal of Mathematical Analysis, 9(48), 2377–2385

  • Title: A Study of Saigo-Maeda Fractional Operators with Generalized K-Wright Function
    Authors: K. Gupta, M.K. Gurjar, J.C. Prajapati
    Year: 2014
    Citations: 3
    Source: International Journal of Pure and Applied Mathematics, 93(5), 715–728

  • Title: On Sequence of Functions
    Authors: I.A. Salehbhai, J.C. Prajapati, A.K. Shukla
    Year: 2013
    Citations: 3
    Source: Communications of the Korean Mathematical Society, 28(1), 123–134

  • Title: On Laguerre Type Polynomials
    Authors: J.C. Prajapati, A.D. Patel, A.K. Shukla
    Year: 2010
    Citations: 3
    Source: International Journal of Contemporary Mathematical Sciences, 5(32), 1599–1608

  • Title: Editorial Team
    Authors: G. Ahmed, H.D. Kasmaei, M.R. Adhikari, P. Agarwal, S. Kirkup, M. Senol, J.C. Prajapati, et al.
    Year: 2024
    Citations: 2
    Source: Editorial Role, Journal Contribution

  • Title: Certain Properties of Generalized Mittag-Leffler Operators
    Authors: P. Patel, J.C. Prajapati
    Year: 2024
    Citations: 2
    Source: Fractional Differential Equations, pp. 27–42

  • Title: A Study on Unsteady Flow Through Porous Media: A Cubic Spline Collocation Approach
    Authors: P. Shah, P. Tandel, J. Prajapati
    Year: 2021
    Citations: 2
    Source: Journal of Interdisciplinary Mathematics, 24(5), 1375–1386

Conclusion ✅

Prof. Jyotindra Prajapati exemplifies academic excellence, combining rigorous research, impactful teaching, and visionary leadership in mathematics 📐. His distinguished career reflects a strong foundation in mathematical sciences, with contributions that resonate globally—particularly his generalization of the Mittag-Leffler function 💼. Through mentoring Ph.D. scholars, participating in national/international academic bodies, and holding key university roles, he continues to shape the future of mathematical education and research 🎓. His numerous honors and professional memberships speak to his standing in the academic community. Prof. Prajapati’s holistic blend of scholarly output, educational service, and institutional leadership makes him a deserving candidate for any prestigious academic recognition, including the Best Researcher Award 🏆. He remains a dedicated torchbearer of mathematical inquiry and higher education excellence 🌟.

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 🚀.

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 

Google Scholar
Scopus Profile

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

Iqbal Ahmad | Applied Mathematics | Best Researcher Award

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Dr. Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at Qassim University, Saudi Arabia

Dr. Iqbal Ahmad 🌟, an Assistant Professor in Mechanical Engineering at Qassim University 🇸🇦, is a distinguished scholar with a Ph.D. in Mathematics from Aligarh Muslim University 🇮🇳. His research brilliance shines in areas like fractals 🔷, variational inequalities ➕, fixed point theory 🎯, and optimization 💡, blending abstract theory with real-world applications. He has authored 17+ high-impact journal publications 📚, completed two funded research projects 🔬, and demonstrated excellence in advanced numerical methods and nonlinear functional analysis. Dr. Ahmad’s academic versatility extends to a wide spectrum of mathematical disciplines 🧠, from complex analysis to engineering mathematics. His MATLAB and LaTeX proficiency 🖥️ enhances his analytical and scholarly output. A recipient of multiple prestigious fellowships and scholarships 🏅, he is also a passionate educator, nurturing future scientists with deep mathematical insight and integrity. Dr. Ahmad embodies a rare fusion of academic rigor, innovation, and impactful teaching 🎓💼.

Professional Profile 

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🎓 Education

Dr. Iqbal Ahmad’s educational journey is a testament to academic excellence and relentless pursuit of knowledge 📘. He earned his Ph.D. in Mathematics from the prestigious Aligarh Muslim University 🇮🇳, where he explored the intricate world of variational inclusions and equilibrium problems under the mentorship of Prof. Rais Ahmad. Preceding this, he completed his M.Sc. in Mathematics with a stellar 83% score, excelling in core subjects such as Functional Analysis, Topology, and Differential Geometry 📐. His academic foundation was laid with a B.Sc. (Hons) in Mathematics and further solidified through consistent first-division results right from his intermediate studies 🧠. Throughout his academic tenure, he received government-funded scholarships 🎖️ and accolades that highlighted his potential as a scholar deeply rooted in both theory and application. Dr. Ahmad’s education reflects both depth and diversity, forming a robust platform for his future academic and research contributions.

Professional Experience

Dr. Iqbal Ahmad has been serving as an Assistant Professor in the Department of Mechanical Engineering at Qassim University, Saudi Arabia 🇸🇦, since August 2018. His professional role bridges the disciplines of engineering and mathematics, uniquely positioning him to impart both theoretical and applied knowledge 📊. Known for his engaging lectures and student mentorship 🎓, he teaches an extensive array of mathematical subjects ranging from Linear Algebra and PDEs to Complex Analysis and Optimization Theory 📚. His ability to translate abstract mathematical concepts into practical engineering insights makes him a valuable asset in a multidisciplinary environment 🔧. Beyond teaching, Dr. Ahmad is actively involved in curriculum development, academic advising, and collaborative research, embodying a holistic educator’s role. His global outlook, combined with his expertise in MATLAB and LaTeX 💻, enhances the academic rigor of his teaching and research work alike, reflecting professionalism, versatility, and dedication.

🔬 Research Interest

Dr. Ahmad’s research interests are intellectually diverse and technically profound 🌐. His primary focus spans fractals 🔷, iterative processes 🔁, fixed-point theory 🎯, variational inequalities ➕, and nonlinear functional analysis. He delves into generalized variational-like inclusions, exploring their applications in fuzzy environments, Banach spaces, and engineering frameworks. His fascination with mathematical modeling and equilibrium problems intersects with fields such as optimization theory, computational mathematics, and ordered algebraic structures 🧮. His recent work on Julia sets and transcendental functions using viscosity approximation methods underscores his commitment to pushing boundaries in pure and applied mathematics 🔭. Dr. Ahmad’s scholarly contributions are well-reflected in his 17+ peer-reviewed publications, many of which are indexed in SCI/SCIE and Scopus, establishing him as a rising figure in mathematical research 📖. His work resonates with analytical elegance and applied relevance, advancing theoretical insights and offering real-world utility.

🏅 Awards and Honors

Dr. Iqbal Ahmad has been recognized repeatedly for his academic prowess and research excellence 🏆. He received the UGC-BSR Fellowship for his doctoral research, a competitive grant awarded to promising scholars in India 🇮🇳. His academic achievements during undergraduate and postgraduate studies were acknowledged through Merit-Cum-Means and other government-sponsored scholarships 🪙. Beyond financial accolades, his scholarly stature is cemented by two successfully completed funded research projects at Qassim University, sponsored by the Deanship of Scientific Research 🔬. These projects, focused on generalized vector variational inequalities and fuzzy mappings, not only expanded the frontier of mathematical inclusions but also showcased his leadership as a co-principal investigator 🤝. These honors reflect both the intellectual merit and practical relevance of his work, distinguishing him as a research-driven academic. Dr. Ahmad’s decorated path is marked by recognition, influence, and a growing impact across mathematical and engineering communities.

✅ Conclusion

Dr. Iqbal Ahmad exemplifies the ideal profile for the Best Researcher Award 🥇—a scholar whose career seamlessly blends theoretical brilliance, research innovation, and educational impact. With a strong foundation in mathematics 🎓, international academic exposure 🌍, and a growing body of high-impact publications 📑, he continues to enrich the academic landscape through rigorous research and interdisciplinary collaboration. His teaching inspires, his research influences, and his professional ethos uplifts the institutions he serves 💼. Dr. Ahmad’s journey reflects dedication, intellect, and a passion for mathematical inquiry that bridges boundaries between disciplines and continents ✨. Whether through the lens of fractal geometry or the framework of optimization, his contributions resonate with both depth and originality. As a scholar with demonstrated excellence in both scholarship and service, Dr. Iqbal Ahmad is undoubtedly a deserving candidate for recognition at the highest level in academic and research excellence 🏛️.

Publications Top Notes

  • Graph convergence and generalized Yosida approximation operator with an application
    Authors: R Ahmad, M Ishtyak, M Rahaman, I Ahmad
    Year: 2017
    Citations: 27
    Source: Mathematical Sciences 11, 155-163 📚

  • System of Yosida inclusions involving XOR operator
    Authors: I Ahmad, CT Pang, R Ahmad, M Ishtyak
    Year: 2017
    Citations: 27
    Source: Journal of Nonlinear and Convex Analysis 18 (5), 831-845 🔄

  • On differential equations characterizing Legendrian submanifolds of Sasakian space forms
    Authors: R Ali, F Mofarreh, N Alluhaibi, A Ali, I Ahmad
    Year: 2020
    Citations: 15
    Source: Mathematics 8 (2), 150 📐

  • Convergence theorems for split equality generalized mixed equilibrium problems for demi-contractive mappings
    Authors: M Rahaman, YC Liou, R Ahmad, I Ahmad
    Year: 2015
    Citations: 14
    Source: Journal of Inequalities and Applications 2015, 1-25 📈

  • Validation of Authentic Leadership Questionnaire in Pakistani Context: Evidence from Higher Education Institutions of Khyber Pakhtunkhwa
    Authors: F Akbar, Z Ali, I Ahmad
    Year: 2019
    Citations: 13
    Source: Abasyn University Journal of Social Sciences 12 (1) 📑

  • An iterative algorithm for a system of generalized implicit variational inclusions
    Authors: I Ahmad, VN Mishra, R Ahmad, M Rahaman
    Year: 2016
    Citations: 12
    Source: SpringerPlus 5, 1-16 🔁

  • Convergence analysis and stability of perturbed three-step iterative algorithm for generalized mixed ordered quasi-variational inclusion involving XOR operator
    Authors: I Ahmad, M Rahaman, R Ahmad, I Ali
    Year: 2020
    Citations: 11
    Source: Optimization 69 (4), 821-845 🔄

  • A new resolvent operator approach for solving a general variational inclusion problem involving XOR operation with convergence and stability analysis
    Authors: I Ahmad, CT Pang, R Ahmad, I Ali
    Year: 2020
    Citations: 9
    Source: 桃園縣: 元智大學資訊管理學系 📊

  • Infestation of Meloidogyne enterolobii in newly established/old guava orchards and nurseries in Madhya Pradesh, Rajasthan and Uttar Pradesh
    Authors: M Khan, I Ahmad, KH Kumar, A Singh, PK Shukla
    Year: 2019
    Citations: 7
    Source: Annals of Plant Protection Sciences 27 (1), 170-171 🍃

  • Relaxed resolvent operator for solving a variational inclusion problem
    Authors: I Ahmad, M Rahaman, R Ahmad
    Year: 2016
    Citations: 7
    Source: Statistics, Optimization & Information Computing 4 (2), 183-193 🔄

  • Nonlinear ordered variational inclusion problem involving XOR operation with fuzzy mappings
    Authors: I Ahmad, SS Irfan, M Farid, P Shukla
    Year: 2020
    Citations: 6
    Source: Journal of Inequalities and Applications 2020, 1-18 🧮

  • Accelerating order of convergence using secant type methods
    Authors: D Jain, R Bhardwaj, I Ahmad
    Year: 2017
    Citations: 4
    Source: Journal of Interdisciplinary Mathematics 20 (2), 417-426 🧑‍🏫

  • Julia sets of transcendental functions via a viscosity approximation-type iterative method with s-convexity
    Authors: I Ahmad, M Sajid, R Ahmad
    Year: 2024
    Citations: 3
    Source: Statistics, Optimization & Information Computing 🔄

  • Generalized composite vector equilibrium problems
    Authors: I Ahmad, SS Irfan, R Ahmad
    Year: 2017
    Citations: 3
    Source: Bull. Math. Anal. Appl 9 (1), 109-122 🔄

 

Halima Bensmail | Applied Mathematics | Best Researcher Award

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Prof. Dr. Halima Bensmail | Applied Mathematics | Best Researcher Award

Principal scientist at Qatar Computing Research Institute, Qatar

Dr. Halima Bensmail is a distinguished Principal Scientist at the Qatar Computing Research Institute, specializing in machine learning, bioinformatics, biostatistics, and statistical modeling. With a Ph.D. in Statistics (Summa Cum Laude) from the University Pierre & Marie Curie, she has made significant contributions to Bayesian inference, multivariate analysis, and precision medicine. She has an impressive research record with an H-index of 31, i10-index of 54, and around 140 publications in prestigious journals such as Nature Communications, JASA, and IEEE TNNLS. As the founder of the Statistical Machine Learning and Bioinformatics group at QCRI, she has led groundbreaking projects, including the development of open-source data-driven tools like the PRISQ pre-diabetes screening model and MCLUST clustering algorithm. With extensive academic experience in the USA, France, and the Netherlands, she has mentored numerous postdocs and students, shaping the next generation of researchers. Her expertise and leadership make her a key figure in data science and precision health.

Professional Profile 

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Education

Dr. Halima Bensmail holds a Ph.D. in Statistical Machine Learning (Summa Cum Laude) from the University Pierre & Marie Curie (Paris 6), where she specialized in Bayesian inference, spectral decomposition, and mixture models. Her thesis focused on deterministic and Bayesian model-based clustering and classification for data science applications. Prior to that, she earned an M.S. in Machine Learning from the same university, with a focus on probability, financial modeling, and stochastic processes. She also holds a Bachelor’s degree in Applied Mathematics and Statistics from the University Mohammed V in Morocco, where she gained expertise in numerical analysis, stochastic processes, topology, and mathematical programming. Throughout her academic journey, she was mentored by esteemed professors and developed a strong foundation in theoretical and applied statistics. Her educational background has laid the groundwork for her pioneering research in machine learning, bioinformatics, and data-driven modeling for real-world applications.

Professional Experience

Dr. Bensmail is currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), where she leads research in bioinformatics, statistical machine learning, and artificial intelligence. She also serves as a Full Professor in the College of Science and Engineering at Hamad Bin Khalifa University and a Visiting Full Professor at Texas A&M University at Qatar. Previously, she held tenured faculty positions at Virginia Medical School and the University of Tennessee, where she contributed significantly to public health and business administration research. She has also worked as a Research Scientist at the University of Leiden, a scientist at the Fred Hutchinson Cancer Research Center, and a postdoctoral researcher at the University of Washington. With decades of experience across academia and research institutions in the U.S., Europe, and the Middle East, she has built expertise in developing statistical and AI-driven solutions for biomedical and computational challenges.

Research Interests

Dr. Bensmail’s research spans statistical machine learning, bioinformatics, and precision medicine. She has developed novel clustering algorithms, such as an advanced Bayesian clustering model implemented in the MCLUST package, and statistical methods for analyzing Next-Generation Sequencing (NGS) data. She is also interested in computational biology, specifically protein-protein interactions, protein solubility, and structural biology. Her work includes dimensionality reduction techniques like nonnegative matrix factorization and discriminative sparse coding for domain adaptation. In the field of precision medicine, she has designed PRISQ, a statistical model for pre-diabetes screening. Her broader interests include Bayesian statistics, functional data analysis, information theory, and high-dimensional data modeling. With a strong focus on developing real-world data-driven tools, she actively contributes to statistical methodologies that enhance decision-making in medicine, genomics, and artificial intelligence applications.

Awards and Honors

Dr. Bensmail has received numerous accolades for her contributions to machine learning, bioinformatics, and statistical modeling. Her work has been widely recognized, with over 140 peer-reviewed publications and an H-index of 31, demonstrating the impact of her research. She has secured research grants and led major projects in AI-driven healthcare solutions. Her contributions to the field have been acknowledged through invitations to serve as a keynote speaker at international awards and as an editorial board member for high-impact journals. She has also been instrumental in mentoring young researchers, postdoctoral fellows, and doctoral students, fostering the next generation of scientists in AI, statistics, and bioinformatics. Additionally, her work on statistical methods for precision medicine and biomedical informatics has gained international recognition, positioning her as a leading expert in the field of data science for healthcare and computational biology.

Conclusion

Dr. Halima Bensmail is a pioneering researcher in machine learning, statistical modeling, and bioinformatics, with a career spanning leading institutions in the U.S., Europe, and the Middle East. Her contributions to clustering algorithms, high-dimensional data analysis, and precision medicine have made a lasting impact on the fields of AI and computational biology. As a mentor and leader, she has shaped numerous young scientists and postdocs, driving innovation in data science applications. With a robust publication record, influential research projects, and a dedication to developing real-world AI-driven solutions, she stands as a leading figure in statistical machine learning. Her expertise and contributions continue to push the boundaries of knowledge in bioinformatics, artificial intelligence, and healthcare analytics, making her a strong candidate for prestigious research awards and recognition in scientific communities worldwide.

Publications Top Noted

 

Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

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Prof. Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

Professor at Transilvania University of Brasov, Romania

Prof. Sorin Vlase is a distinguished researcher and full professor at Transilvania University of Brasov, Romania, specializing in Mechanics, Computational Mechanics, Finite Element Method, and Multibody Systems. With an academic career spanning nearly five decades, he has made significant contributions to mechanical engineering and applied mathematics. He has served as the head of multiple departments, organized prestigious international awards, and led over 15 scientific projects while participating in more than 50. His extensive publication record includes 244 ISI-indexed papers, 21 books, and numerous award proceedings. He has played a key role in advancing computational mechanics, composite materials, and automotive engineering, securing national and international research grants, including NATO-funded projects. His expertise is recognized through his editorial contributions, scientific committee memberships, and honorary professor titles. Prof. Vlase’s work continues to impact the global research community, making him a strong candidate for recognition as a leading researcher in his field.

Professional Profile 

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Education

Prof. Sorin Vlase has a strong academic background in mechanical engineering and applied mathematics. He earned his B.Sc. and M.Sc. in Mechanical Engineering with a specialization in Automotive Engineering from Transilvania University of Brasov (1971–1976). In addition, he pursued a degree in mathematics from the University of Bucharest (1977–1982), further strengthening his analytical expertise. He obtained his Ph.D. from Transilvania University of Brasov in 1989, focusing on advanced computational mechanics. His academic journey culminated in a Habilitation in Automotive Engineering in 2015, allowing him to mentor doctoral students. His multidisciplinary education has played a crucial role in shaping his expertise in mechanics, computational analysis, and finite element methods, making him a highly respected scholar in his field. Throughout his academic career, he has been associated with Transilvania University, significantly contributing to its research and educational framework through his teaching, mentorship, and leadership in various scientific projects.

Professional Experience

Prof. Vlase has had an extensive professional career, primarily at Transilvania University of Brasov, where he has been a faculty member since 1980. His career progression includes roles as an Assistant Professor (1980–1984), Lecturer (1984–1991), Associate Professor (1991–1996), and Full Professor (1996–present). He also served as the Head of the Department of Mechanics (2004–2011), Head of the Department of Automotive Engineering and Mechanics (2011–2012), and Head of the Department of Mechanical Engineering (2012–2020). Prior to joining academia, he worked as a research engineer at the Automotive Research Institute and ROMAN SA Brasov (1976–1980), gaining valuable industry experience. His expertise spans mechanical stability, numerical methods, kinematics, and dynamics of multibody systems. Additionally, he has organized numerous international awards and contributed to over 50 scientific projects, demonstrating his leadership and commitment to advancing mechanical engineering and applied sciences.

Research Interests

Prof. Vlase’s research is centered on Mechanics, Computational Mechanics, Finite Element Method, Vibrations, and Multibody Systems. His interdisciplinary approach integrates mathematical modeling, numerical simulations, and experimental mechanics, with applications in automotive engineering and composite materials. He has made significant contributions to computational analysis, particularly in the dynamic behavior of mechanical structures. His work also explores nonlinear analysis, virtual prototyping, and the optimization of mechanical systems. His research extends to white noise in urban environments and mechanical identifiability in automotive engineering, reflecting his ability to bridge theoretical research with real-world applications. His leadership in national and international research grants, including NATO-funded projects, underscores his influence in the field. Through his extensive publication record, including books, journal articles, and award proceedings, he continues to contribute to the development of cutting-edge technologies in engineering and applied mechanics.

Awards and Honors

Prof. Sorin Vlase has been widely recognized for his contributions to mechanical engineering and computational mechanics. He has received numerous accolades for his research, teaching, and leadership in the scientific community. He was awarded an Honorary Professorship at Ovidius University in Constanta, a testament to his influence in academia. He has served as an editor for 15 scientific publications and has been a key organizer of several prestigious international awards, including the Computational Mechanics and Virtual Engineering (COMEC) series and the Advanced Composite Materials Engineering (COMAT) awards. His research excellence has been acknowledged through multiple national and international grants, including NATO-sponsored projects. His role as a principal investigator in over 15 projects and a participant in more than 50 research initiatives further highlights his impact. Prof. Vlase’s commitment to advancing the field of mechanics has earned him a distinguished reputation in the global academic community.

Conclusion

Prof. Sorin Vlase is a highly accomplished researcher, educator, and leader in the fields of mechanics, computational analysis, and automotive engineering. His academic journey, spanning decades, has been marked by significant contributions to research, teaching, and scientific collaboration. With over 244 ISI-indexed papers, 21 books, and leadership in numerous research projects, he has left a lasting impact on engineering sciences. His interdisciplinary expertise, bridging mechanical engineering and applied mathematics, has led to innovative solutions in computational mechanics and material science. His role in organizing international awards and securing competitive research grants further underscores his dedication to advancing scientific knowledge. Recognized through prestigious awards and honorary titles, Prof. Vlase continues to shape the future of mechanical engineering. His extensive contributions make him a strong candidate for any distinguished research award, reflecting his outstanding achievements in academia, research, and professional service.

Publications Top Noted

  • Title: On the partition of energies for the backward in time problem of thermoelastic materials with a dipolar structure
    Authors: M. Marin, S. Vlase, R. Ellahi, M.M. Bhatti
    Year: 2019
    Citations: 127
    Source: Symmetry, 11(7), 863

  • Title: Motion equation for a flexible one-dimensional element used in the dynamical analysis of a multibody system
    Authors: S. Vlase, M. Marin, A. Öchsner, M.L. Scutaru
    Year: 2019
    Citations: 122
    Source: Continuum Mechanics and Thermodynamics, 31, 715-724

  • Title: Improved rigidity of composite circular plates through radial ribs
    Authors: C. Itu, A. Öchsner, S. Vlase, M.I. Marin
    Year: 2019
    Citations: 115
    Source: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

  • Title: New analytical method based on dynamic response of planar mechanical elastic systems
    Authors: M.L. Scutaru, S. Vlase, M. Marin, A. Modrea
    Year: 2020
    Citations: 113
    Source: Boundary Value Problems, 2020, 1-16

  • Title: A method for the study of the vibration of mechanical bars systems with symmetries
    Authors: S. Vlase, C. Năstac, M. Marin, M. Mihălcică
    Year: 2017
    Citations: 107
    Source: Acta Technica Napocensis-Series: Applied Mathematics, Mechanics, and Engineering

  • Title: Considerations on double porosity structure for micropolar bodies
    Authors: M. Marin, S. Vlase, M. Paun
    Year: 2015
    Citations: 107
    Source: AIP Advances, 5(3)

  • Title: On mixed problem in thermoelasticity of type III for Cosserat media
    Authors: M. Marin, A. Seadawy, S. Vlase, A. Chirila
    Year: 2022
    Citations: 100
    Source: Journal of Taibah University for Science, 16(1), 1264-1274

  • Title: On the decay of exponential type for the solutions in a dipolar elastic body
    Authors: M. Marin, R. Ellahi, S. Vlase, M.M. Bhatti
    Year: 2020
    Citations: 95
    Source: Journal of Taibah University for Science, 14(1), 534-540

  • Title: Coupled transverse and torsional vibrations in a mechanical system with two identical beams
    Authors: S. Vlase, M. Marin, M.L. Scutaru, R. Munteanu
    Year: 2017
    Citations: 95
    Source: AIP Advances, 7(6)

  • Title: Effect of microtemperatures for micropolar thermoelastic bodies
    Authors: M. Marin, D. Baleanu, S. Vlase
    Year: 2017
    Citations: 88
    Source: Structural Engineering and Mechanics, 61(3), 381-387

  • Title: Homogenization and averaging methods to predict elastic properties of pre-impregnated composite materials
    Authors: H. Teodorescu-Draghicescu, S. Vlase
    Year: 2011
    Citations: 88
    Source: Computational Materials Science, 50(4), 1310-1314

  • Title: Finite element method analysis of some fibre-reinforced composite laminates
    Authors: H. Teodorescu-Draghicescu, A. Stanciu, S. Vlase, L. Scutaru, M.R. Calin
    Year: 2011
    Citations: 78
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5(7), 782-785

  • Title: A method of eliminating Lagrangian multipliers from the equation of motion of interconnected mechanical systems
    Authors: S. Vlase
    Year: 1987
    Citations: 76
    Source: Not available

  • Title: Hysteresis effect in a three-phase polymer matrix composite subjected to static cyclic loadings
    Authors: H. Teodorescu-Draghicescu, S. Vlase, L. Scutaru, L. Serbina, M.R. Calin
    Year: 2011
    Citations: 74
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (March 2011)

  • Title: Influence of B4C and industrial waste fly ash reinforcement particles on the microstructural characteristics and mechanical behavior of aluminium (Al–Mg–Si-T6) hybrid metal matrix composites
    Authors: M.S. Kumar, M. Vasumathi, S.R. Begum, S.M. Luminita, S. Vlase, C.I. Pruncu
    Year: 2021
    Citations: 61
    Source: Journal of Materials Research and Technology, 15, 1201-1216

  • Title: Behavior of multiphase fiber-reinforced polymers under short time cyclic loading
    Authors: S. Vlase, H. Teodorescu-Draghicescu, D.L. Motoc, M.L. Scutaru, L. Serbina
    Year: 2011
    Citations: 59
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5, 419-423

  • Title: Mechanical behavior of CSM450 and RT800 laminates subjected to four-point bend tests
    Authors: A. Stanciu, H. Teodorescu-Drăghicescu, S. Vlase, M.L. Scutaru, M.R. Cǎlin
    Year: 2012
    Citations: 58
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 6 (March-April 2012)

  • Title: Advanced pultruded glass fibers-reinforced isophtalic polyester resin
    Authors: H. Teodorescu-Draghicescu, S. Vlase, M.D. Stanciu, I. Curtu, M. Mihalcica
    Year: 2015
    Citations: 56
    Source: Mater. Plast, 52(1), 62-64

  • Title: Properties of advanced new materials used in automotive engineering
    Authors: A. Modrea, S. Vlase, H. Teodorescu-Draghicescu, M. Mihalcica, M.R. Calin
    Year: 2013
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 7 (May-June 2013)

  • Title: Simulation of the elastic properties of some fiber-reinforced composite laminates under off-axis loading system
    Authors: S. Vlase, H. Teodorescu-Draghicescu, M.R. Calin, L. Serbina
    Year: 2011
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (April 2011)