Sardar Muhammad Usman | Social Sciences | Research Excellence Award

Dr. Sardar Muhammad Usman | Social Sciences | Research Excellence Award

COMSATS University Islamabad | Pakistan

Dr. Sardar Muhammad Usman is an Assistant Professor of Finance & Accounting at COMSATS University Islamabad, with over a decade of academic experience in teaching, research, and academic leadership. He holds a PhD in Finance (Enterprise Management) from Zhejiang University, China, an AACSB- and EQUIS-accredited institution, along with an MS in Finance from Umeå University, Sweden, and an MBA and BBA in Finance from the University of Peshawar. His scholarly work appears in leading journals indexed in SSCI and SCOPUS (Q1–Q3), with cumulative journal impact factors exceeding 48. Dr. Usman’s research interests span crowdfunding, fintech, sustainable finance, ESG disclosure, behavioral finance, machine learning applications in finance, and financial market efficiency. He has supervised PhD and MPhil researchers and is an HEC-approved PhD supervisor. His academic service includes editorial board membership, reviewer roles for high-impact journals, curriculum development, accreditation activities, and postgraduate evaluation committees. He has also secured competitive international research grants and completed doctoral and master’s studies under prestigious Chinese and Swedish government scholarships. Overall, Dr. Usman’s career reflects a strong integration of impactful research, innovative teaching, and meaningful contributions to sustainable and inclusive financial systems.

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Featured Publications


What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy
A. Hussain, M. S. Sial, S. M. Usman, J. Hwang, Y. Jiang, A. Shafiq,
International Journal of Environmental Research and Public Health, 16(6), 994, 2019. (SCOPUS Q1, 138 Citations)


Prevalence of Burnout Among Primary Health Care Staff and Its Predictors: A Study in Iran
E. Zarei, F. Ahmadi, M. S. Sial, J. Hwang, P. A. Thu, S. M. Usman,
International Journal of Environmental Research and Public Health, 16(12), 2249, 2019. (SCOPUS Q1, 121 Citations)


The Effects of Creator Credibility and Backer Endorsement in Donation Crowdfunding Campaigns Success
F. A. S. Bukhari, S. M. Usman, M. Usman, K. Hussain,
Baltic Journal of Management, 15(2), 215–235, 2020. (SCOPUS Q2, 73 Citations)


Does the Role of Media and Founder’s Past Success Mitigate the Problem of Information Asymmetry? Evidence from a UK Crowdfunding Platform
S. M. Usman, F. A. S. Bukhari, M. Usman, D. Badulescu, M. S. Sial,
Sustainability, 11(3), 692, 2019. (SCOPUS Q1, 54 Citations)


Message Framing and Self-Conscious Emotions Help to Understand Pro-Environmental Consumer Purchase Intention: An ERP Study
M. Zubair, S. Iqbal, S. M. Usman, M. Awais, R. Wang, X. Wang,
Scientific Reports, 10, 18304, 2020. (SCOPUS Q1, 53 Citations)

Sridevi S | Engineering and Technology | Best Researcher Award

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)

Jalil Jamali | Mechanical Engineering | Best Researcher Award

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.