Sridevi S | Engineering and Technology | Best Researcher Award

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Dr. Sridevi S | Engineering and Technology | Best Researcher Award

Presidency University | India

Dr. Sridevi S is an accomplished Assistant Professor in Computer Science and Engineering with over seventeen years of academic experience and a Ph.D. completed. She is currently associated with the School of CSE at Presidency University, Bangalore, where she actively contributes to teaching, curriculum design, accreditation activities, and student mentoring. Her academic background includes a Ph.D. in Computer Science and Engineering, an M.Tech in Computer Science and Engineering with distinction, and a Bachelor’s degree in Information Science and Engineering, also with distinction. Dr. Sridevi has extensive experience delivering core and advanced courses such as Data Structures, Computer Networks, Data Mining, Web Technologies, Full Stack Development, and multiple programming languages. Her research interests span 5G and beyond wireless networks, machine learning applications, data analytics, wireless sensor networks, deep learning, and intelligent network optimization. She has published several articles in reputed Scopus-indexed journals and conferences, and her reflects an h-index of 1 with 8 published documents and approximately 2 citations. In addition to her research contributions, she has authored technical books and book chapters with leading publishers. She has been recognized as Best Faculty and has received institutional appreciation for her leadership as Cultural Coordinator. Dr. Sridevi’s career reflects a strong commitment to academic excellence, impactful research, industry-aligned teaching, and holistic student development.

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Featured Publications

DDM: Data-Driven Marketing Using AI, ML, and Big Data
N. N. Ahamed, S. Sridevi, AI-Powered Business Intelligence for Modern Organizations, IGI Global, pp. 79–102, 2025

Real-Time Interference Management in Next-Generation Wireless Systems
S. A. Abidi, D. P. P. D. Beemkumar Nagappan, S. Sridevi, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2025 (Scopus-Q2)

Heart Arrhythmia Classification Using Machine Learning Algorithms
V. Hiremani, R. M. Devadas, A. Pasha, S. Sridevi, 2nd International Conference on Ambient Intelligence in Health Care, 2023 (Scopus)

Child Safety & Tracking Management System Using GPS, Geo-Fencing and Android Application
S. Sridevi, S. Thakur, PiCES – Perspectives in Communication, Embedded Systems and Signal Processing, 2018

Indian Classical Percussion Instrument Tabla Taal Classification Using Fast Converging CNN
A. R. Sridevi S., Swati Sharma, Clara Kanmani, Nipun Sharma, Syed Abrar Ahmed, IEEE 4th World Conference on Applied Intelligence and Computing (AIC 2025), 2025 (Scopus)

Mohammed Berka | Electrical Engineering | Engineering Impact Recognition Award

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Prof. Dr. Mohammed Berka | Electrical Engineering | Engineering Impact Recognition Award

University of Mascara | Algeria

Mohammed Berka is a Full Professor of Telecommunications and Electrical Engineering with extensive academic and research experience in microwave engineering and electromagnetic systems. He holds a State Engineering degree in Electronics, a Master’s degree in Signal and Telecommunications Systems, a PhD in Telecommunications, and an Habilitation to Direct Research (HDR), reflecting a strong and progressive academic background. His career spans nearly two decades of university teaching, supervision, and research leadership, with steady academic promotions culminating in Full Professorship. His research interests focus on metamaterials, metasurfaces, microwave and millimeter-wave filters, antennas, absorbers, MIMO systems, electromagnetic wave propagation, and their applications in wireless communications, 5G, satellite systems, sensing, renewable energy, and photovoltaic optimization. He has contributed to numerous national and international research projects and served in key academic leadership roles. Professor Berka has authored and co-authored 41 peer-reviewed publications, several international conference papers, book chapters, and scholarly books published by recognized academic publishers. His scientific output has achieved an h-index of 7, with 224 citations, reflecting sustained research impact in electromagnetics and microwave engineering. His work has received international recognition through high-impact journal publications, conference invitations, and technical committee memberships, positioning him as an active contributor to advanced telecommunication research and innovation.

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Featured Publications

Jun Hu | Medicine and Health Sciences | Research Excellence Award

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Dr. Jun Hu | Medicine and Health Sciences | Research Excellence Award

Nanjing University of Chinese Medicine | China

Jun Hu is a medical researcher and lecturer specializing in Traditional Chinese Medicine (TCM)–based interventions for inflammatory and immune-mediated diseases. Trained as a Medical Doctor at Nanjing University of Chinese Medicine, Hu has developed a focused academic career combining mechanistic biomedical research with evidence-based evaluation of traditional therapies. His professional experience centers on teaching and research at a leading TCM institution, where he contributes to both undergraduate and postgraduate medical education while leading interdisciplinary studies. Hu’s research interests include herbal formulas, electroacupuncture, acupoint application, and moxibustion, with particular emphasis on asthma, rheumatoid arthritis, neuroinflammation, and immune regulation. He has played a key role in nationally funded research, including a National Natural Science Foundation of China project investigating autophagy-dependent ferroptosis mechanisms in moxibustion therapy for rheumatoid arthritis synovitis. His scholarly output includes peer-reviewed articles in high-impact journals such as Biomolecules, Frontiers in Pharmacology, Mediators of Inflammation, and Journal of Ethnopharmacology. With an h-index of 7, more than 11 scientific publications, and over 95citations, his work demonstrates sustained academic influence. Overall, Jun Hu’s research bridges traditional medical theory and modern molecular science, advancing integrative strategies for chronic inflammatory disease management.

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Featured Publications


Qufeng Xuanbi Formula inhibits benzo[a]pyrene-aggravated asthma via the AhR/ROS/ERK pathway

Journal of Ethnopharmacology, 2024 · DOI: 10.1016/j.jep.2023.117203

Jalil Jamali | Mechanical Engineering | Best Researcher Award

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Dr. Jalil Jamali | Mechanical Engineering | Best Researcher Award

Islamic Azad University | Iran

Dr. Jalil Jamali is an Assistant Professor of Mechanical Engineering at Islamic Azad University. His teaching spans undergraduate (Mechanics of Materials, Statics, Dynamics, Vibrations), master’s (Theory of Plates & Shells, Elasticity, Elastodynamics, Advanced Mathematics I, Vehicle Dynamics) and doctoral-level (Advanced Mathematics II) courses. His research interests centre on Vibrations, Dynamics, Ultrasonic Non-Destructive Testing (NDT), and Functionally Graded Materials (FGM). Over the years, he has authored multiple papers in these areas. Through his publications, he contributes to advancing methods in dynamic analysis and NDT for graded materials. He also guides students and cultivates a rigorous learning environment through both theoretical and applied courses. His experience as educator and researcher enables bridging fundamentals (mechanics and mathematics) with advanced topics (elasticity, dynamics, FGM, NDT), positioning him as a versatile scholar. His work continues to attract citations, reflecting growing recognition in his field.

Profile : Google Scholar

Featured Publications

Shoghl, S. N., Jamali, J., & Moraveji, M. K. (2016). Electrical conductivity, viscosity, and density of different nanofluids: An experimental study. Experimental Thermal and Fluid Science, 74, 339–346.

Behzad, M., Alvandi, M., Mba, D., & Jamali, J. (2013). A finite element-based algorithm for rubbing induced vibration prediction in rotors. Journal of Sound and Vibration, 332(21), 5523–5542.

Mousavi, S. F., Hashemabadi, S. H., & Jamali, J. (2020). Calculation of geometric flow profile correction factor for ultrasonic flow meter using semi-3D simulation technique. Ultrasonics, 106, 106165.

Rajabi, M., Ahmadian, M. T., & Jamali, J. (2015). Acoustic scattering from submerged laminated composite cylindrical shells. Composite Structures, 128, 395–405.

Goharkhah, M., Ashjaee, M., & Jamali, J. (2016). Experimental investigation on heat transfer and hydrodynamic behavior of magnetite nanofluid flow in a channel with recognition of the best models for transport properties. Experimental Thermal and Fluid Science, 68, 582–592.

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

Profile : Google Scholar

Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.