Ansar Shah l Big Data | Research Excellence Award

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Assoc. Prof. Dr. Ansar Shah l Big Data | Research Excellence Award

University of Southern Punjab Multan | Pakistan

Dr. Ansar Munir Shah is an Associate Professor of Computer Science with extensive experience in teaching, research, academic leadership, and curriculum development at undergraduate and graduate levels. Dr. Ansar Munir Shah holds a PhD in Computer Science from the University of Technology Phnom Penh, Cambodia, and is an HEC-approved PhD supervisor with strong academic credentials. Dr. Ansar Munir Shah has served in prominent academic roles at EM&E College (NUST), King Khalid University, and ISP Multan, earning multiple awards for committee service and academic excellence. Dr. Ansar Munir Shah’s research interests include wireless sensor networks, IoT, cloud computing, cybersecurity, and AI-driven network and data security.

Citation Metrics (Scopus)

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Citations
134

Documents
15

h-index
8

Citations

Documents

h-index


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Featured Publications

Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
– Sustainability, 2025
DOI: 10.3390/su17157087
Dynamic and Integrated Security Model in Inter Cloud for Image Classification
– Foundation University Journal of Engineering and Applied Sciences, 2024
DOI: 10.33897/fujeas.v4i1.874
Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.030802
ILSM: Incorporated Lightweight Security Model for Improving QoS in WSN
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.034951
Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.025449

Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

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Mr. Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

University of Buner | Pakistan

Mr. Maaz Ali Khan is a mathematician specializing in solid mechanics with strong expertise in continuum mechanics, thermoelasticity, mathematical physics, and computational solid mechanics. Mr. Maaz Ali Khan holds a PhD in Mathematics from Qurtuba University of Science and Technology, an M.Phil. from COMSATS University Islamabad, and a BS in Mathematics from the University of Swat with outstanding academic performance and top academic honors. Mr. Maaz Ali Khan is serving as a Lecturer at the University of Buner, teaching undergraduate and postgraduate mathematics and mechanics courses. Mr. Maaz Ali Khan has authored multiple high-impact research publications, demonstrating advanced research skills in mathematical modeling, wave propagation, thermoelastic theories, and applied solid mechanics research.

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Featured Publications

Khan, M. A., Moussa, S. B., Jahangir, A., & Riaz, U. (2025).
Microstructure-Driven Wave Energy Control in Temperature-Dependent Fiber-Reinforced Composites: A Unified Micropolar Thermoelastic Model and Data-Driven Design.
Results in Engineering, 108811.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025).
Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects.
Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025).
Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model.
Case Studies in Thermal Engineering, 106926.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(2), 278–287.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Erratum to: Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(3), 592.

Aravindh Sekar | Blockchain | Best Researcher Award

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Dr. Aravindh Sekar | Blockchain | Best Researcher Award

Penske Logistics | United States

Dr. Aravindh Sekar holds a Ph.D. in Information Systems (Analytics/Decision Support) from Dakota State University (2024), an M.S. in Information Science & Technology from Missouri University of Science & Technology (2011), and a B.Tech in Computer Science & Engineering from the National Institute of Technology, Rourkela (2006). He is currently Staff Software Architect, Supply Chain Solutions at Penske Logistics (since January 2018), where he leads the architecture and integration of technical solutions across supply-chain platforms, defines enterprise standards, and champions data-driven, API-led design and governance for future-state capabilities. Earlier, he served as Project Leader at Leggett & Platt (June 2010–January 2018), managing logistics and operational systems, implementing Oracle Transportation Management workflows, and customizing agent workflows and business monitors. His research interests span digital transformation, enterprise architecture, emerging technologies (blockchain, AI, IoT) in supply chain management, IT governance and leadership, cybersecurity in digital platforms, and bridging theory with practice in agile supply-chain ecosystems. His recent awards include the Graduate Research Initiative (GRI) award for his exploratory project on “Factors Influencing Blockchain Implementation in Supply Chain Management.” His published work addresses blockchain adoption, project management adaptations for blockchain, and inventory-control complexity through reinforcement learning. Dr. Sekar’s scholarly output includes 4 documents, 1 citation, and an h-index of 1, reflecting his growing academic impact.

Profile: Scopus 

Featured Publications

Sekar, A., Tech, D., Brooks, P., & Noteboom, C. (2024) “Factors Influencing Blockchain Implementation in Supply Chain Management: An Exploratory Pilot Study”, Issues in Information Systems.

Sekar, Aravindh, Tech, Deb, & Noteboom, Cherie Bakker (2024) “Exploring the Impact of Blockchain Integration on Inventory Accuracy and Supply Chain Efficiency – A Literature Review”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Tech, Deb (2024) “Exploratory Study on the Impact of Blockchain Adoption on Inventory Accuracy and Supply Chain Efficiency”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Zeng, David (2022) “Reinforcement Learning Algorithms and Complexity of Inventory Control: A Review”, MWAIS 2022 Proceedings.

Sekar, Aravindh (2023) “Determining the Effectiveness of RL in Tackling Inventory Control Complexities”, International Journal of Management and Applied Science (IJMAS).

Govindu, D., Tippani, R., Porika, M., & Sura, S. P. (2023) “Methodology of Assessing Microplastics and Nanoplastics in the Environment: Recent Advances in the Practical Approaches”, in Micro and Nanoplastics in Soil: Threats to Plant-Based Food.