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Dr. Mehbub Alam

Assistant Professor

Computer Science & Engineering Department

Dr. Mehbub Alam

Introduction

Dr. Mehbub Alam is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Raichur, which he joined in September 2025. Before joining IIIT Raichur, he worked as a Postdoctoral Researcher in the Secure UTM Systems Lab at Khalifa University, Abu Dhabi, UAE. Prior to his doctoral studies, he served as a Faculty at the National Institute of Electronics and Information Technology (NIELIT) Shillong.

Research Interests

  • Cyber Security
  • UAV Security
  • Internet of Things
  • Fog/Edge Computing


Contact

Mail
mehbub@iiitr.ac.in

Telephone Number
-

Room No.
211

Profiles
Personal Website
ORCID
Google Scholar
LinkedIn

Education

Ph.D. in Computer Science and Engineering

Indian Institute of Information Technology Guwahati, India
Research Area: Fog Computing, Internet of Things, Verifiable Computing

M.Tech in Information Technology

North-Eastern Hill University, Shillong, India
Research Area: Cryptography

Experience

  • Postdoctoral Researcher, Secure UTM Systems Lab, Khalifa University, Abu Dhabi, UAE
  • Visiting Researcher, Khalifa University, Abu Dhabi, UAE
  • Faculty, National Institute of Electronics and Information Technology (NIELIT), Shillong, India

PhD Students

  • Shaik Saddam Hussain (Part time) - Research area: Incremental encryption, Person Re-Identification
  • Sreekanth Reddy Bodeddula (Part time) - Research area: TinyML

Publications

  1. Muhammad Owais, Muhammad Zubair, Daniya Najiha Abdul Kareem, Sana Akhtar Naseer, Mehbub Alam, Mubashir Ahmad, and Irfan Hussain, "A Comprehensive Review Tracing the Evolution of Volumetric Medical Imaging Analysis from Classic CNNs to Emerging AI-Agents", Archives of Computational Methods in Engineering, 2026. Impact Factor: 12.9 - Q1.
  2. Sk Mahmudul Hassan, Kumar Sekhar Roy, Mehbub Alam, Sudip Chakraborty, Marcello Di Bonito, Ruhul A. Hazarika, "Fusion-Based Machine Learning Approach for Classification of Seabed Defects", Earth Systems and Environment, 2026. Impact Factor: 5.0 - Q1.
  3. Sk Mahmudul Hassan, Kumar Sekhar Roy, Ruhul A Hazarika, Mehbub Alam and Mithun Mukherjee, "Multi-kernel Inception-Enhanced Vision Transformer for Plant Leaf Disease Recognition", Scientific Reports, 15, 30997, 2025. Impact Factor: 3.9 - Q1.
  4. Baharul Islam, Nasim Ahmad, Mehbub Alam, Sk Mahmudul Hassan, Sudip Chakraborty, Khaled A. Mahmoud, Saad Aljlil and Ruhul A Hazarika, "AquaFusionNet: A Deep Feature Fusion and Attention-Based Approach for Accurate Underwater Defect Detection", Earth Systems and Environment, Pages 1-17, 2025. Impact Factor: 5.0 - Q1.
  5. Mehbub Alam, Nurzaman Ahmed, Shyamal Ghosh, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "OptiFog: A Framework for Acquiring State Information and Predicting Resource Availability for Task Offloading in Cooperative Fog-Networks", IEEE Transactions on Services Computing, Early Access, Pages 1-13, 2024. Impact Factor: 5.8 - Q1.
  6. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "Analyzing the Suitability of IEEE 802.11ah for Next Generation Internet of Things: A Comparative Study", Ad Hoc Networks, Elsevier, Vol. 156, Pages 103437, 2024. Impact Factor: 5.4 - Q1.
  7. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, Mithun Mukherjee, and Ferdous Ahmed Barbhuiya, "SDN-based Re-configurable Edge Network Architecture for Industrial Internet of Things", IEEE Internet of Things Journal, vol. 10, pages: 16494-16503, 2023. Impact Factor: 8.2 - Q1.
  8. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, and Ferdous A Barbhuiya, "IEEE 802.11 ah-Enabled Internet of Drone Architecture", IEEE Internet of Things Magazine, Vol. 5, Pages 174-178, 2022. Impact Factor: 5.8 - Q1.
  9. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "ioFog: Prediction-based Fog Computing Architecture for Offline IoT", in International Wireless Communications and Mobile Computing (IEEE IWCMC), Pages 1387-1392, 2021.
  10. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "L3Fog: Fog Node Selection and Task Offloading Framework for Mobile IoT", in IEEE INFOCOM, IEEE Conference on Computer Communications Workshops (IEEE INFOCOM WORKSHOPS), Pages 1-6, 2022.
  11. Sangeeta Kakati, Mehbub Alam, Rakesh Matam, Ferdous Ahmed Barbhuiya, and Mithun Mukherjee, "Mobility-aware Task Offloading in Fog-Assisted Networks", in IEEE Global Communications Conference (IEEE GLOBECOM), Pages 2897-2902, 2022.
  12. Mehbub Alam, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "OptFog: Optimized Mobility-Aware Task Offloading and Migration Model for Fog Networks", in IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS), Pages 539-544, 2023.
  13. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam, and Ferdous Ahmed Barbhuiya, "RedgeX: Meta-learning based Optimal Analytical Model for Programmable Edge Intelligence", in IEEE Wireless Communications and Networking Conference (IEEE WCNC), Pages 1-6, 2024.
  14. Mehbub Alam, Rakesh Matam and Ferdous Ahmed Barbhuiya, "Edge-Mi: Edge-based Microservices for Mobility-aware Task Migration Scheme", in IEEE Future Networks World Forum (IEEE FNWF), 2024.
  15. Nasim Ahmed, Baharul Islam, Mehbub Alam, and Sudipta Majumder, "Leveraging LLMs and Deep Learning for Driver Drowsiness Image Categorization", IEEE Guwahati Subsection Conference (IEEE GCON), 1-6, 2025.