Mehbub Alam

Assistant Professor

Computer Science & Engineering Department

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. He was associated with the project “Zero-Trust-based Secure, Resilient, and Autonomous System for Drone UTM Interactions (ZT-UTM)”, funded by Technology Innovation Institute (TII).
Prior to his doctoral studies, he served as a Faculty at the National Institute of Electronics and Information Technology (NIELIT) Shillong.
His research interests lie in Drone Security and Next-Generation Internet of Things.

Research Interests

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


Contact

Mail
mehbub[at]iiitr.ac.in

Telephone Number
-

Room No.
211

Profiles
Personal Website
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

  • Visiting Researcher (Nov 2023 – Apr 2024), Khalifa University, Abu Dhabi, UAE
  • Postdoctoral Researcher (Jun 2024 – Sep 2025), Secure UTM Systems Lab, Khalifa University, Abu Dhabi, UAE
  • Faculty (Mar 2018 – Sep 2019), National Institute of Electronics and Information Technology (NIELIT), Shillong, India

Publications

  1. M. Alam, N. Ahmed, S. Ghosh, R. Matam, and FA Barbhuiya, “OptiFog: A Framework for Acquiring State Information and Predicting Resource Availability for Task Offloading in Cooperative Fog-Networks”, in IEEE Transactions on Services Computing, Early Access, Pages 1-13, 2024.
  2. M. Alam, N. Ahmed, R. Matam, and FA Barbhuiya, “Analyzing the Suitability of IEEE 802.11ah for Next Generation Internet of Things: A Comparative Study”, in Ad Hoc Networks, Elsevier, Vol. 156, Pages 103437, 2024.
  3. M. Alam, N. Ahmed, R. Matam, M. Mukherjee, and FA Barbhuiya, “SDN-based Re-configurable Edge Network Architecture for Industrial Internet of Things”, in IEEE Internet of Things Journal, vol. 10, pages: 16494-16503, 2023.
  4. M. Alam, N. Ahmed, R. Matam, and FA Barbhuiya, “IEEE 802.11 ah-Enabled Internet of Drone Architecture”, in IEEE Internet of Things Magazine, Vol. 5, Pages 174-178, 2022.
  5. M. Alam, N. Ahmed, R. Matam, and FA Barbhuiya, “io-Fog: Prediction-based Fog Computing Architecture for Offline IoT”, in IEEE IWCMC, Pages 1387-1392, 2021.
  6. M. Alam, N. Ahmed, R. Matam, and FA Barbhuiya, “L3Fog: Fog Node Selection and Task Offloading Framework for Mobile IoT”, in IEEE INFOCOM WORK-SHOPS, Pages 1-6, 2022.
  7. S. Kakati, M. Alam, R. Matam, FA Barbhuiya, and M. Mukherjee, “Mobility-aware Task Offloading in Fog-Assisted Networks”, in IEEE GLOBECOM, Pages 2897-2902, 2022.
  8. M. Alam, R. Matam, and FA Barbhuiya, “OptFog: Optimized Mobility-Aware Task Offloading and Migration Model for Fog Networks”, in IEEE ANTS, Pages 539-544, 2023.
  9. M. Alam, N. Ahmed, R. Matam, and FA Barbhuiya, “RedgeX: Meta-learning based Optimal Analytical Model for Programmable Edge Intelligence”, in IEEE WCNC, Pages 1-6, 2024.
  10. M. Alam, R. Matam and FA Barbhuiya, “Edge-Mi: Edge-based Microservices for Mobility-aware Task Migration Scheme”, in IEEE FNWF, Pages 405-410, 2024.