Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

Dr. Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

Universiti Teknikal Malaysia Melaka | Malaysia

Dr. Norhazwani Md Yunos is an accomplished computer scientist and academic whose work bridges theoretical algorithms and applied data analytics. She has authored 11 Scopus-indexed documents, receiving 68 citations with an h-index of 4, reflecting steady scholarly impact across multiple domains. Her educational background is grounded in computer science and algorithmic research, with strong foundations in graph theory, optimization, and computational complexity. Over her academic career, she has gained extensive experience as a lecturer and researcher, contributing to both fundamental theory and real-world applications. Her research interests span machine learning, sentiment analysis, network and community detection, optimization algorithms, big data analytics, and combinatorial optimization, including notable contributions to polynomial-space exact algorithms for the Traveling Salesman Problem (TSP) and modern studies on dynamic community detection and data-driven classification models. Dr. Md Yunos has published in reputable journals such as Alexandria Engineering Journal, Pertanika Journal of Science and Technology, and Journal of Electronic Materials, demonstrating interdisciplinary reach from algorithm design to intelligent systems. Her scholarly record includes peer-reviewed journal articles, conference papers, and book chapters, alongside recognition through high citation performance in selected works. Overall, her research portfolio highlights a sustained commitment to advancing computational methods, intelligent data analysis, and algorithmic efficiency for contemporary scientific and industrial challenges.

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Featured Publications

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.

Citation Metrics (Scopus)

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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)

Mohd Asim | Remote Sensing | Best Researcher Award

Dr Mohd Asim | Remote Sensing | Best Researcher Award

Senior Research Fellow, Indian Agricultural Research Institute, India

Mohd Asim is a dedicated Senior Research Fellow at the Laboratory of Drone Remote Sensing and Big Data Analytics, Indian Agricultural Research Institute (IARI) in New Delhi. With a robust educational background in geography, he has recently earned his PhD from Indira Gandhi National Open University (IGNOU). His research primarily revolves around the application of remote sensing and machine learning in environmental monitoring and agricultural practices. Mohd is passionate about addressing pressing environmental challenges, particularly those related to water resources and pollution. He has contributed significantly to the understanding of heavy metal pollution in the Yamuna River, enhancing knowledge in this critical area. Mohd’s innovative approaches and commitment to research are reflected in his growing publication record and citation impact, making him a prominent figure in his field. He aims to leverage advanced technologies to foster sustainable agricultural practices and promote environmental conservation.

Profile

Orcid

Strengths for the Award

  1. Strong Academic Background: Mohd Asim has a solid foundation in geography, culminating in a PhD from IGNOU. His educational background provides a robust framework for his research.
  2. Relevant Research Experience: His work on heavy metal pollution in the Yamuna River and ongoing projects utilizing UAV technology showcase his commitment to addressing significant environmental issues through innovative methods.
  3. Publication Record: With 79 citations for his research on heavy metal pollution and publications in reputable journals like Environmental Monitoring and Assessment and International Journal of River Basin Management, he demonstrates the impact and recognition of his work in the scientific community.
  4. Innovative Approaches: The use of machine learning algorithms for the detection of banana plants using UAV data highlights his ability to integrate technology with traditional research methods, contributing to advancements in agricultural monitoring.
  5. Contribution to Environmental Science: His focus on critical issues such as water pollution and agricultural sustainability aligns with global research priorities, emphasizing the relevance of his contributions.

Areas for Improvement

  1. Expand Collaborative Efforts: Building partnerships with other researchers or institutions could enhance the scope and impact of his projects, potentially leading to interdisciplinary research opportunities.
  2. Engage in Consultancy or Industry Projects: Gaining experience in consultancy could provide practical insights and enhance the applicability of his research findings in real-world scenarios.
  3. Increase Professional Visibility: Joining professional organizations or taking editorial roles in relevant journals could further elevate his profile and foster networking opportunities within the research community.
  4. Broaden Publication Scope: While his publications are significant, aiming for a more diverse range of journals could enhance visibility and reach in different academic circles.

Education

Mohd Asim completed his Bachelor’s and Master’s degrees in Geography, laying a strong foundation for his academic pursuits. He has recently obtained his PhD in Geography from Indira Gandhi National Open University (IGNOU), where he focused on the intersection of environmental science and technology. His doctoral research investigated heavy metal pollution in the Yamuna River, utilizing Geographic Information Systems (GIS) and pollution indices to assess and analyze environmental health. Throughout his education, Mohd has developed a keen interest in remote sensing, machine learning, and their applications in agricultural monitoring and water resource management. His educational journey has equipped him with essential skills and knowledge to tackle complex environmental challenges. By integrating traditional geographical methods with modern technology, he aspires to contribute to sustainable practices in agriculture and environmental management, making his academic background a vital asset in his ongoing research endeavors.

Experience 

Mohd Asim currently serves as a Senior Research Fellow (SRF) at the Laboratory of Drone Remote Sensing and Big Data Analytics within the Division of Agricultural Physics at IARI, New Delhi. His role involves conducting advanced research on environmental monitoring, focusing on the impacts of pollution and the dynamics of river systems. He has successfully completed several projects, including studies on heavy metal pollution in the Yamuna River and channel dynamics, both of which have been published in reputable journals. Currently, he is working on a project that employs UAV multispectral imaging and machine learning algorithms to detect banana plants, showcasing his ability to apply cutting-edge technology in agricultural research. Mohd’s experience in interdisciplinary research and collaboration with experts in remote sensing and GIS has significantly contributed to his understanding of the complex interactions between agricultural practices and environmental sustainability, positioning him as a key researcher in his field.

Research Focus

Mohd Asim’s research focuses on the integration of remote sensing, Geographic Information Systems (GIS), and machine learning in environmental studies, particularly concerning agricultural monitoring and water resource management. He aims to address critical environmental issues, such as pollution and resource sustainability, with a strong emphasis on understanding heavy metal contamination in waterways, especially the Yamuna River. His ongoing project on detecting banana plants using UAV multispectral imagery illustrates his commitment to leveraging technology for agricultural advancements. Mohd’s research encompasses the dynamics of river systems, channel changes, and the impact of anthropogenic activities on water resources. By employing innovative methodologies and interdisciplinary approaches, he seeks to enhance the efficiency and sustainability of agricultural practices while promoting environmental conservation. His work contributes significantly to the understanding of how advanced technologies can facilitate better management of natural resources, aligning with global efforts toward sustainable development and environmental protection.

Publication Top Notes

  • Flow dynamics and channel changes at Yamuna River in Delhi-National Capital Region, India 🌊
  • Assessment of heavy metal pollution in Yamuna River, Delhi-NCR, using heavy metal pollution index and GIS ⚗️

Conclusion

Mohd Asim is a strong candidate for the Best Researcher Award, demonstrating excellence in research and innovation. His contributions to the field of geography, particularly in remote sensing and environmental monitoring, position him as a key figure in addressing pressing ecological challenges. By expanding his collaborative and professional engagements, he can further amplify his impact and recognition in the academic community.