World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4552
World Ranking
13586
National Ranking
5425

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to optimization and the design of computer-communication networks

Overview

Deep Medhi is affiliated with the National Science Foundation in the United States. Their research spans the fields of Computer Science and Engineering, with a focus on several subfields including Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Building and Construction, and Artificial Intelligence.

The main research topics covered in their work include:

  • Advanced Optical Network Technologies
  • Network Traffic and Congestion Control
  • IoT and Edge/Fog Computing
  • IoT Networks and Protocols
  • Smart Parking Systems Research
  • Cloud Computing and Resource Management
  • Caching and Content Delivery

Some of the recent publications by Deep Medhi are:

  • "A Novel Strategy to Achieve Bandwidth Cost Reduction and Load Balancing in a Cooperative Three-Layer Fog-Cloud Computing Environment," 2020, IEEE Access
  • "SinergyCloud: A simulator for evaluation of energy consumption in data centers and hybrid clouds," 2021, Simulation Modelling Practice and Theory
  • "Network Virtualization and Survivability of 5G Networks," 2020, Journal of Network and Systems Management
  • "FPoW: An ASIC-resistant Proof-of-Work for Blockchain Applications," 2020, 2020 IEEE Region 10 Symposium (TENSYMP)
  • "Moving QoE for monitoring DASH video streaming: models and a study of multiple mobile clients," 2021, Journal of Internet Services and Applications

Their frequent coauthors include:

  • Mirza Mohd Shahriar Maswood
  • Abdullah G. Alharbi
  • Md. Rahinur Rahman
  • Daniel Guimaraes do Lago
  • Rodrigo A. C. da Silva

Frequent publication venues for their work are:

  • Journal of Network and Systems Management
  • IEEE Access
  • Simulation Modelling Practice and Theory
  • 2020 IEEE Region 10 Symposium (TENSYMP)
  • Journal of Internet Services and Applications

In 2018, Deep Medhi was recognized as an IEEE Fellow for contributions to optimization and the design of computer-communication networks.

Best Publications

  • Location-aware key management scheme for wireless sensor networks

    Dijiang Huang;Manish Mehta;Deep Medhi;Lein Harn

  • Measurement of Quality of Experience of Video-on-Demand Services: A Survey

    Parikshit Juluri;Venkatesh Tamarapalli;Deep Medhi

  • SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP

    Parikshit Juluri;Venkatesh Tamarapalli;Deep Medhi

  • Dependability and security models

    Kishor S. Trivedi;Dong Seong Kim;Arpan Roy;Deep Medhi

  • Performance analysis of IPSec protocol: encryption and authentication

    O. Elkeelany;M.M. Matalgah;K.P. Sheikh;M. Thaker

  • A unified approach to network survivability for teletraffic networks: models, algorithms and analysis

    D. Medhi

  • Multi-hour, multi-traffic class network design for virtual path-based dynamically reconfigurable wide-area ATM networks

    D. Medhi

  • Real-time network anomaly detection system using machine learning

    Shuai Zhao;Mayanka Chandrashekar;Yugyung Lee;Deep Medhi

  • ARCH-based traffic forecasting and dynamic bandwidth provisioning for periodically measured nonstationary traffic

    Balaji Krithikaivasan;Yong Zeng;Kaushik Deka;Deep Medhi

  • A Secure Microservice Framework for IoT

    Duo Lu;Dijiang Huang;Andrew Walenstein;Deep Medhi

  • Multi-layered network survivability-models, analysis, architecture, framework and implementation: an overview

    D. Medhi;D. Tipper

  • SDNIPS: Enabling Software-Defined Networking based intrusion prevention system in clouds

    Tianyi Xing;Zhengyang Xiong;Dijiang Huang;Deep Medhi

  • Some approaches to solving a multihour broadband network capacity design problem with single-path routing

    D. Medhi;D. Tipper

  • A Novel Strategy to Achieve Bandwidth Cost Reduction and Load Balancing in a Cooperative Three-Layer Fog-Cloud Computing Environment

    Mirza Mohd Shahriar Maswood;Md. Rahinur Rahman;Abdullah G. Alharbi;Deep Medhi

  • Estimating optimal cost of allocating virtualized resources with dynamic demand

    Haiyang Qian;Deep Medhi

  • A secure group key management scheme for hierarchical mobile ad hoc networks

    Dijiang Huang;Deep Medhi

  • Server operational cost optimization for cloud computing service providers over a time horizon

    Haiyang Qian;Deep Medhi

  • Network dimensioning and performance of multiservice, multirate loss networks with dynamic routing

    D. Medhi;Sujit Guptan

  • Probability-based adaptive forwarding strategy in named data networking

    Haiyang Qian;Ravishankar Ravindran;Guo-Qiang Wang;Deep Medhi

  • A hierarchical model to evaluate quality of experience of online services hosted by cloud computing

    Haiyang Qian;Deep Medhi;Kishor Trivedi

Frequent Co-Authors

Dijiang Huang
Dijiang Huang Arizona State University
David Tipper
David Tipper University of Pittsburgh
James P. G. Sterbenz
James P. G. Sterbenz University of Kansas
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Guy Pujolle
Guy Pujolle Sorbonne University
Lein Harn
Lein Harn University of Missouri–Kansas City
Caterina Scoglio
Caterina Scoglio Kansas State University
Chris Develder
Chris Develder Ghent University
Byrav Ramamurthy
Byrav Ramamurthy University of Nebraska–Lincoln
Jorge Lobo
Jorge Lobo Pompeu Fabra University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA offers versatile career options, but many students also explore related online degrees for broader opportunities. For those looking to accelerate their studies, an accelerated cs degree allows you to enter the tech workforce more quickly.

If you’re interested in combining technology with sustainability, consider exploring environmental fields. You can learn about jobs for environmental science majors, where computer science skills are increasingly valuable.

For those passionate about engineering, affordable online options are available. An online environmental engineering degree is ideal for students interested in blending computational thinking with solving environmental challenges. Additionally, the cheapest mechanical engineering degree online is perfect for those who want a cost-effective route into engineering by leveraging problem-solving and technical skills learned in computer science.

These diverse online pathways can help you tailor your education and career to match your interests, making you more competitive in today’s evolving job market.

Best Scientists Citing Deep Medhi

Trending Scientists