Research Focus:

UAV (Unmanned Aerial Vehicle) or Drone Technology:
Secure Communications in UAV, Authentication Protocols, Long-range communication for drones.

Fog/Edge Computing:
-Edge Intelligence
-Computation offloading in resource-constrained devices and verifiable computation

Long-range and scalable IoT networks using WiFi HaLow.
My research at C2PS focused on the design and implementation of lightweight and context-aware authentication protocols for drone Remote ID, addressing critical security challenges in compliance with ASTM standards for UAV airspace. I am also working on context-aware drone Remote ID authentication and optimized observer placements for securing the airspace for drones. For more details about our projects please visit Secure UTM Systems Lab.

Postdoctoral Researcher

June 2024 – September 2025

Khalifa University, Abu Dhabi, UAE


Project

Zero trust-based secure, resilient and autonomous system for drone–UTM interaction (ZT-UTM)


Supervisor

Dr. Abdulhadi Shoufan


Research Contributions

  • Designing Remote ID modules for drones
  • Design of lightweight authentication protocols compliant with ASTM standards for drone remote identification
  • Optimal placement of ground observers for continuous drone detection and monitoring

Visiting Researcher

November 2023 – April 2024

Khalifa University, Abu Dhabi, UAE


Research Lab

Secure UTM Systems Lab


Supervisor

Dr. Abdulhadi Shoufan


Worked on secure unmanned traffic management (UTM) systems, drone authentication, remote identification, and secure airspace management technologies.

Junior Research Fellow (JRF)

September 2019 – October 2023

Indian Institute of Information Technology Guwahati, India


Research Lab

Design Innovation Centre (DIC) Lab


Supervisors

Dr. Rakesh Matam and Prof. Ferdous Ahmed Barbhuiya


Conducted Ph.D. research in IoT, Fog Computing, Edge Computing, IEEE 802.11ah networks, task offloading frameworks, and drone communication systems.

Research lab:

Publications

Journal Articles

  1. 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, 2024. Get Access
  2. 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), 2024. Get Access
  3. 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, 2023. Get Access
  4. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam and Ferdous Ahmed Barbhuiya, “IEEE 802.11ah-Enabled Internet of Drone Architecture”, IEEE Internet of Things Magazine, 2022. Get Access
  5. Sk Mahmudul Hassan, Kumar Sekhar Roy, Ruhul Amin Hazarika, Mehbub Alam and Mithun Mukherjee, “Multi-kernel Inception-Enhanced Vision Transformer for Plant Leaf Disease Recognition”, Scientific Reports, 2025. Get Access
  6. Baharul Islam, Nasim Ahmad, Mehbub Alam, Sk Mahmudul Hassan, Sudip Chakraborty, Khaled A. Mahmoud, Saad Aljlil and Ruhul Amin Hazarika, “AquaFusionNet: A Deep Feature Fusion and Attention-Based Approach for Accurate Underwater Defect Detection”, Earth Systems and Environment, 2025. Get Access

Conference Publications

  1. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam and Ferdous Ahmed Barbhuiya, “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”, IEEE IWCMC, 2021. Get Access
  2. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam and Ferdous Ahmed Barbhuiya, “L3Fog: Fog Node Selection and Task Offloading Framework for Mobile IoT”, IEEE INFOCOM Workshops, 2022. Get Access
  3. Sangeeta Kakati, Mehbub Alam, Rakesh Matam, Ferdous Ahmed Barbhuiya and Mithun Mukherjee, “Mobility-aware Task Offloading in Fog-Assisted Networks”, IEEE GLOBECOM, 2022. Get Access
  4. Mehbub Alam, Rakesh Matam and Ferdous Ahmed Barbhuiya, “OptFog: Optimized Mobility-Aware Task Offloading and Migration Model for Fog Networks”, IEEE ANTS, 2023. Get Access
  5. Mehbub Alam, Nurzaman Ahmed, Rakesh Matam and Ferdous Ahmed Barbhuiya, “RedgeX: Meta-learning based Optimal Analytical Model for Programmable Edge Intelligence”, IEEE WCNC, 2024. Get Access
  6. Mehbub Alam, Rakesh Matam and Ferdous Ahmed Barbhuiya, “Edge-Mi: Edge-based Microservices for Mobility-aware Task Migration Scheme”, IEEE Future Networks World Forum (FNWF), 2024. Get Access
  7. Nasim Ahmed, Baharul Islam, Mehbub Alam and Sudipta Majumder, “Leveraging LLMs and Deep Learning for Driver Drowsiness Image Categorization”, IEEE GCON, 2025. Get Access