Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

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Dr. Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

University of Derby | United Kingdom

Author Profiles

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Orcid ID

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Early Academic Pursuits

Dr. Mian Usman Sattar’s academic journey reflects a sustained commitment to excellence in computing, informatics, and information systems. He began with a Postgraduate Diploma in Communication and Computer Technology from Government College University, Lahore (2002), followed by an M.Sc. in Computer Science (2004). His pursuit of international exposure led him to the United Kingdom, where he earned a Postgraduate Diploma in Computer Science (2008) and an MS in IT Management from the University of Sunderland (2010). His academic trajectory culminated in a Ph.D. in Informatics from the Malaysian University of Science and Technology (2022), under the guidance of Prof. Dr. Ang Ling Weay. Currently, he is further enhancing his expertise through a PG Certificate leading to FHEA from the University of Derby, UK (expected 2025).

Professional Endeavors

Dr. Sattar’s career spans academia, industry, and research leadership. His current role as Lecturer and Program Leader (Information Technology) at the University of Derby involves teaching diverse modules such as IT Product Design, Web Technologies, and Analytics Ethics. Prior to this, he served as Assistant Professor of Business Intelligence at Beaconhouse National University (2020–2023), where he introduced contemporary courses in analytics and emerging technologies. His earlier tenure as Assistant Professor of Information Systems at the University of Management and Technology (2014–2020) saw him direct academic programs, establish industry collaborations, and lead departmental initiatives. Beyond academia, he has contributed to industry as Deputy Manager (MIS) at AIAK International, UK, and as Unit Head for Training at Haseen Habib Corporation in Pakistan.

Contributions and Research Focus

Dr. Sattar’s research is anchored in Business Intelligence, Data Analytics, Enterprise Systems, and Information Security. He has secured multiple high-value research grants, including funding from the Pakistan Science Foundation, TWAS-COMSTECH, Malaysia Digital Economy Corporation, and the Malaysia Toray Science Foundation. His contributions extend beyond individual research, encompassing the creation of specialized academic tracks, development of curricula in disruptive technologies, and integration of industrial alliances such as with Microsoft Dynamics, Oracle, SAP, and Coursera.

Impact and Influence

Over two decades, Dr. Sattar has influenced academic landscapes in Pakistan, Malaysia, and the UK. He has mentored students on cutting-edge topics like Generative AI, Industry 4.0, and immersive technologies. As a conference chair, keynote speaker, and session leader, he has shaped dialogues on emerging business technologies. His role as a reviewer for numerous high-impact journals-including Sustainability, Frontiers in Medicine, and ACM Transactions-demonstrates his standing in the scholarly community.

Academic Citations and Recognitions

Dr. Sattar’s scholarly work is recognized through fellowships, travel grants, and the Higher Education Commission’s approval as a Ph.D. supervisor. His funded projects, often exceeding £30,000–£60,000 in value, have advanced applied research in artificial intelligence, data analytics, and enterprise systems. He is regularly invited to deliver talks at international conferences, reflecting the academic community’s acknowledgment of his expertise.

Legacy and Future Contributions

Dr. Sattar’s legacy lies in building academic bridges between industry and education, modernizing curricula, and fostering innovation-driven learning environments. His future trajectory points toward deepening his engagement with AI-driven business intelligence, strengthening global research collaborations, and influencing policy in higher education technology integration. By combining pedagogical innovation with robust research, he continues to prepare students for the demands of a data-driven global economy.

Conclusion

Dr. Mian Usman Sattar’s career exemplifies the synergy between scholarship, industry expertise, and educational leadership. From pioneering business intelligence programs to mentoring the next generation of data scientists, his work reflects both depth and breadth in the evolving field of information systems. His international academic footprint, sustained research output, and leadership roles position him as a transformative figure whose contributions will continue to shape the intersection of technology and business education.

Notable Publications

"Beyond Polarity: Forecasting Consumer Sentiment with Aspect- and Topic-Conditioned Time Series Models" 

  • Author: Mian Usman Sattar; Raza Hasan; Sellappan Palaniappan; Salman Mahmood; Hamza Wazir Khan
  • Journal: Information
  • Year: 2025

"From promotion to empathy: a content analysis of brand responses to social justice movements" 

  • Author: Dilshad, W.; Sattar, U.; Ghaffar, A.
  • Journal: Bulletin of Management Review
  • Year: 2025

"Enhancing Supply Chain Management: A Comparative Study of Machine Learning Techniques with Cost–Accuracy and ESG-Based Evaluation for Forecasting and Risk Mitigation" 

  • Author: Mian Usman Sattar; Vishal Dattana; Raza Hasan; Salman Mahmood; Hamza Wazir Khan; Saqib Hussain
  • Journal: Sustainability
  • Year: 2025

"Exploring the impact of augmented reality on medical students’ intrinsic motivation: a three-dimensional analysis" 

  • Author: Sattar, U.; Khan, H. W.; Ghaffar, A.; Raza, S.
  • Journal: Journal of Management & Social Science
  • Year: 2025

"Enhancing customer segmentation through factor analysis of mixed data (FAMD)-based approach using K-means and hierarchical clustering algorithms" 

  • Author: Sattar, U.; Ufeli, C. P.; Hasan, R.; Mahmood, S.
  • Journal: information
  • Year: 2025

Nithya Rekha Sivakumar | Deep Learning | Best Researcher Award

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Dr. Nithya Rekha Sivakumar | Deep Learning | Best Researcher Award

Associate Professor, Princess Nourah Bint Abdulrahman University, Saudi Arabia📖

Dr. Nithya Rekha Sivakumar is an accomplished academician and researcher, currently serving as an Associate Professor of Computer Science at the College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. She holds a Ph.D. in Computer Science from Periyar University, India, specializing in Mobile Computing and Wireless Networks with Fuzzy and Rough Set Techniques, funded by a prestigious UGC BSR Fellowship. Dr. Sivakumar also earned her M.Phil. in Data Mining, MCA in Computer Applications, and B.Sc. in Computer Science. With over 15 years of academic experience, she has served in diverse roles across reputed institutions in India and Saudi Arabia. Her research interests include wireless networks, mobile computing, data mining, and intelligent systems, with extensive contributions as a researcher, reviewer, and speaker in international conferences and journals. A recipient of multiple awards, including the “Best Distinguished Researcher Award,” she has secured research grants and actively evaluates Ph.D. theses globally. Dr. Sivakumar is also a member of IEEE and IAENG and continues to contribute to advancements in computing through teaching, research, and scholarly activities.

Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Rekha earned her Ph.D. in Computer Science from Periyar University, India, in 2014, supported by the prestigious UGC BSR Fellowship. Her doctoral research focused on mobile computing and wireless networks with fuzzy and rough set techniques. She also holds an M.Phil. in Computer Science from PRIST University (2009), an MCA from IGNOU (2007), and a B.Sc. in Computer Science from Bharathiar University (1996).

Professional Experience🌱

Dr. Rekha has over 15 years of academic and research experience. She has been with Princess Nourah Bint Abdul Rahman University since 2017, progressing from Assistant to Associate Professor. Prior to this, she served as an Assistant Professor at Qassim Private Colleges, Saudi Arabia, and held teaching roles in leading Indian institutions such as Vivekanandha College of Arts and Sciences and Excel Business School. She has also contributed to non-academic roles, including as a Java Programmer and high school teacher.

Research and Service🔬

Dr. Rekha’s research interests span mobile computing, e-governance, and advanced data mining techniques. She has evaluated over 20 Ph.D. theses as a foreign examiner and served as a reviewer for esteemed journals such as IEEE Access, Springer, and Elsevier. A sought-after speaker, she has been invited to international seminars and conferences across the globe, sharing her expertise in computational science and emerging technologies.

Dr. Rekha continues to inspire through her teaching, research, and unwavering commitment to advancing the field of computer science.

Author Metrics 

Dr. Nithya Rekha Sivakumar has an impressive author profile, with a strong presence in international research communities. She has published over 40 papers in reputed journals and conferences, many indexed in Scopus and Web of Science, reflecting her contributions to fields like wireless networks, mobile computing, and data mining. Her work has garnered significant recognition, with an h-index of 12 and over 400 citations, underscoring the impact and relevance of her research. She has authored and co-authored book chapters published by renowned publishers such as Springer and Wiley, further highlighting her expertise. As a sought-after reviewer for top-tier journals, she actively contributes to maintaining the quality of scientific publications. Dr. Sivakumar’s research outputs, combined with her active engagement in scholarly dissemination, establish her as a leading voice in her domain.

Honors and Research Grants

Dr. Rekha has received numerous accolades, including the “Best Distinguished Researcher Award” (2015-2016) and multiple research grants from Princess Nourah Bint Abdul Rahman University, amounting to SAR 40,000 through the Fast Track Research Funding program. She has also been recognized for her doctoral research by the University Grants Commission, India, and secured a travel grant from the Indian Department of Science and Technology to present her work internationally

Publications Top Notes 📄

“Increasing Fault Tolerance Ability and Network Lifetime with Clustered Pollination in Wireless Sensor Networks”

  • Authors: TKNVD Achyut Shankar, Nithya Rekha Sivakumar, M. Sivaram, A. Ambikapathy
  • Journal: Journal of Ambient Intelligence and Humanized Computing
  • Year: 2020
  • Impact: The paper focuses on improving the fault tolerance and lifespan of wireless sensor networks through an innovative clustered pollination-based approach.

“Stabilizing Energy Consumption in Unequal Clusters of Wireless Sensor Networks”

  • Author: NR Sivakumar
  • Journal: Computational Materials and Continua
  • Volume: 64
  • Pages: 81-96
  • Year: 2020
  • Impact: This paper addresses energy stabilization in wireless sensor networks by proposing techniques to manage energy distribution across unequal clusters, enhancing network sustainability.

“Enhancing Network Lifespan in Wireless Sensor Networks Using Deep Learning-based Graph Neural Network”

  • Authors: NR Sivakumar, SM Nagarajan, GG Devarajan, L Pullagura, et al.
  • Journal: Physical Communication
  • Volume: 59
  • Article No.: 102076
  • Year: 2023
  • Impact: The paper investigates how deep learning-based graph neural networks can be used to enhance the lifespan of wireless sensor networks, marking a significant contribution to AI-powered network optimization.

“Simulation and Evaluation of the Performance on Probabilistic Broadcasting in FSR (Fisheye State Routing) Routing Protocol Based on Random Mobility Model in MANET”

  • Authors: NR Sivakumar, C Chelliah
  • Conference: 2012 Fourth International Conference on Computational Intelligence
  • Year: 2012
  • Impact: This study explores the performance of the Fisheye State Routing (FSR) protocol in mobile ad hoc networks (MANETs), with an emphasis on the effects of random mobility models on network behavior.

“An IoT-based Big Data Framework Using Equidistant Heuristic and Duplex Deep Neural Network for Diabetic Disease Prediction”

  • Authors: NR Sivakumar, FKD Karim
  • Journal: Journal of Ambient Intelligence and Humanized Computing
  • Year: 2023
  • Impact: This paper presents an IoT-based framework utilizing big data and deep learning for predicting diabetic diseases, offering a new approach to healthcare prediction systems through advanced technologies.

Conclusion

Dr. Nithya Rekha Sivakumar is a deserving candidate for the Best Researcher Award. Her impressive research accomplishments, strong publication record, innovative contributions to wireless networks and mobile computing, and active engagement in the academic community make her an outstanding researcher. Although there are areas for improvement, particularly in interdisciplinary collaboration and public outreach, her overall research trajectory and impact are exemplary. Dr. Sivakumar’s continuous pursuit of excellence in her field and her ability to address contemporary challenges in mobile computing, data mining, and wireless networks position her as a leading researcher in her domain. She is highly recommended for the Best Researcher Award.