About
Visiting Researcher--Khalifa University, Abu Dhabi, UAE -- Department of Computing and Communication Engineering
If you want to master something, teach it. The more you teach, the better you learn. Teaching is a powerful tool to learning ~Prof. Feynman
Visiting Researcher
Khalifa University, Abu Dhabi, UAE
- Degree: PhD, CSE
- Email: mehbub.nehu@gmail.com
- City: Abu Dhabi, UAE
I am working as a visiting researcher in the Department of Computing and Communication Engineering, Khalifa University, Abu Dhabi. I have received a PhD degree from the Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati. I worked under the supervision of Dr. Rakesh Matam and Prof. Ferdous Ahmed Barbhuiya in Design Innovation Centre (DIC) Lab.
Research Focus
Fog/Edge Computing:
- -Time-sensitive computation offloading
- -Mobility-aware computation offloading
- -Programming/re-configuring Fog/Edge device
- -Preserving privacy with Federated Learning in Fog Computing
Low-latency WiFi networks
Long-range and scalable IoT networks using WiFi HaLow
Skills
PROGRAMMING LANGUAGES
- C
- C++
- Java
- Python
- HTML
TOOLS
- NetSim
- iFogSim
- MobFogSim
- QGIS
- MATLAB
- WorkFlowSim
- CloudSim
OPERATING SYSTEMS
- Linux
- Windows
Resume
Research enthusiast in Next-Generation Internet of Things
Sumary
Education
Doctor of Philosophy (PhD)
Indian Institute of Information Technology Guwahati, India
Department: Computer Science and Engineering
September 2019 - March 2024
Master of Technology
North-Eastern Hill University, Shillong
Department: Information Technology
2016 - 2018
Bachelor of Technology
North-Eastern Hill University, Shillong
Department: Information Technology
2011 - 2015
Experience
Junior Research Fellow (JRF)
September 2019 - October 2023
Indian Institute of Information Technology Guwahati
I have been working as a JRF in Design Innovation Centre (DIC) Lab under Dr. Rakesh Matam and Prof. Ferdous Ahmed Barbhuiya where we are performing research for design and development of various IoT-based tools since September 2019.
TEACHING ASSISTANT
September 2019 - October 2023
Indian Institute of Information Technology Guwahati
In IIIT Guwahati, I have worked as a Teaching Assistant for various subjects such as Computer Networking Lab, Cloud Computing Lab, Software Engineering Lab, Computer Programming Lab, Data Structure Lab, Algorithm Lab and Database Management Systems Lab.
IT Faculty
March 2018- September 2019
National Institute of Electronics and Information Technology (NIELIT), Shillong
I had been involved in the implementation of a Development of North Eastern Region (DoNER) project for Ministry of DoNER under the banner of NIELIT Shillong and then worked as a faculty. I was teaching various courses that fall under NIELIT courses. Moreover, I worked as a master trainer for "Advanced Excel" training program for the officials of the Planning and Statistics Department, Meghalaya, India.
MIS Executive & IT Trainer
July 2015-July 2016
I have worked in Markazul Ma'arif for a skill development project under Ministry of Education (formerly known as MOHRD), Govenment of India.
Research Works:
SDN-based Re-configurable Edge Network Architecture for Industrial Internet of Things2023 (IEEE Internet of Things Journal)
- REdge, a programmable edge network to reconfigure different services associated with industrial applications and networks
- Re-configuring tasks and its associated network settings with the aid of SDN controller in Edge networks.
- Employs programmable layers at the edge for re-configuring the sensor/actuator network and applications.
- An interfacing protocol between the layers is proposed to provide reliability by considering the optimal configuration parameters
December 2022 (Globecom 2022)
- A mobility-aware task offloading framework that reduces the necessity of task migration as migration incurs additional cost such as network usage, latency, energy, etc.
- The proposed mechanism is simple, effective, and is not constrained by a device's location, thereby lowering the costs associated with mobility.
- Especially, the proposed scheme entirely eliminates the cost induced during migration, since effective task offloading can lessen the necessity to attempt task migrations.
March 2022 (Communicated)
- An optimized task offloading framework for time-sensitive computations
- An architecture is designed to acquire global state of the fog network
- This framework is for suitable fog node selection and to balance the load of the network
February 2024 Ad Hoc Networks, Elsevier
February 2022 (Communicated)
- Discussed the characteristics of communication technologies, different supported standards, and the essential requisite of an NGI architecture
- We compare the existing state-of-the-art communication standards
- Concerning the PHY and MAC layer features as provided by IEEE 802.11ah, this paper proposes an IEEE 802.11ah-based scalable NGI architecture
- An interfacing protocol between the layers is proposed to provide reliability by considering the optimal configuration parameters
- Compared to the other NGI architectures, this approach considers communication and connectivity solutions with recent features such as programmable, intelligence, and cognitive
- Open research issues, challenges, and future works of the proposed architecture are provided
June 2022 (IEEE INFOCOM Workshops 2022)
- A task offloading and migration scheme for mobile end users
- Prediction of end-users location is performed using Linear Regression based learning approach
- Target fog node selection is performed by mapping the fog nodes available near the predicted area and best fog node is choosen based on utility function
March 2022 (IEEE IoT Magazine)
- A network architecture for Internet-of-Drones to connect large number of drones with multi-hop facilities
- An IEEE 802.11ah based IoD architecture for surveillance and remote control
- Predicts the location of a drone and places the required association and channel access configuration to a relay node dynamically
June 2021 (IEEE IWCMC 2021)
- An offline fog architecture for achieving reliability and low latency in a large backbone network
- The solution uses a Markov chain-based task prediction model to offer dynamic service requirements with minimal dependency on the Internet
- Considers a central Fog Controller (FC) to (i) provide a global status overview and (ii) predict upcoming tasks of Fog Nodes for intelligent offloading decisions
August 2017 🔗
- Analyzed an existing key-escrow free multi-signature scheme, that is fromulated from bilinear pairings and blinding-binding technique.
- It is found that the sequential multi-signature scheme proposed by the authors is not actually following the characteristics of an ideal sequential multi-signature scheme and thus leads to the inefficiency of the scheme.
- Moreover, the existing parallel multi-signature scheme is not verifiable.
- We modified both schemes and designed an efficient new sequential multi-signature and a parallel multi-signature scheme.
July 2018 🔗
- Proposed ID-SS, a short signature scheme based on identity-based cryptography.
- Based on our assumption that the Computational Diffie-Hellman Problem (CDHP) is an ungovernable problem, we found that the proposed scheme is secure.
- Implementation and comparison of the proposed scheme with most related research have achieved satisfactory results.
- Design, Analysis and Implementation of ID-Based Short Signature Scheme-2018
- Design, Analysis and Implementation of Pure Short Signature Schemes using Bilinear Pairing-2015
- Industrial Training at “Doordarshan Kendra, Guwahati”-2014
- Comparative Analysis of Elliptic Curve Cryptography with RSA”-2014
Conferences and Journals
Collaborators
- Dr. Mithun Mukherjee (Research Scientist | Department of Computer and Communication Engineering | Khalifa University, Abu Dhabi, UAE)
- Dr. Nurzaman Ahmed (Engineering Research Scientist | Donald Danforth Plant Science Center | Saint Louis University, USA)
- Dr. Shyamal Ghosh (Assistant Professor | Department of Data Science | IISER, Thiruvananthapuram, India)
- Dr. Rakesh Matam (Associate Professor | Department of Computer Science & Engineering | IIIT Guwahati, India)
- Prof. Ferdous Ahmed Barbhuiya (Professor| Department of Computer Science & Engineering | IIIT Guwahati, India)
- Ms. Sangeeta Kakati (Doctoral Researcher | Services and Data Management research group, SEDAN | University of Luxembourg, Luxembourg)
- Dr. Ruhul Amin Hazarika (Assistant Professor |Department of Information Technology | Manipal Institute of Technology Bengaluru, India)
Extra Curriculum Activities
I am actively participating in voluntary activities.
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Contact
This site is under development
Feel free to contact me over mail
Location:
Grand Millenium Al Wahda Hotel
Abu Dhabi
UAE
Email:
mehbub@iiitg.ac.in
mehbub.alam@ku.ac.ae
mehbub.nehu@gmail.com
Call:               WhatsApp
+91 8011117277