Assist Prof Dr. Rahul Thakur | Cellular Network | Best Researcher Award

Assist Prof Dr. Rahul Thakur | Cellular Network | Best Researcher Award

Assist Prof Dr. Rahul Thakur, Indian Institute of Technology Roorkee, India

Dr. Rahul Thakur is an accomplished Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee. He holds an M.S. and a Ph.D. in Computer Science and Engineering from the prestigious Indian Institute of Technology Madras, where he conducted extensive research under the guidance of Prof. C. Siva Ram Murthy. His doctoral thesis focused on “Efficient Cell Selection and Resource Allocation for Femtocell Assisted Cellular Networks,” highlighting his expertise in wireless networks.Dr. Thakur is the Founder and Faculty In-Charge of the IoT Lab at IIT Roorkee, reflecting his pioneering contributions to the field of the Internet of Things (IoT). His research interests span a wide array of cutting-edge technologies, including wireless communication, mobile and small cell networks, vehicular communication, device-to-device communication, and social-assisted communication networks.

🌐 Professional Profile:

Scopus

πŸ“š Education

  • Ph.D. in Computer Science and Engineering (2010-2017) – IIT Madras, India
    • Thesis: Efficient Cell Selection and Resource Allocation for Femtocell Assisted Cellular Networks
    • Advisor: Prof. C. Siva Ram Murthy
  • M.S. in Computer Science and Engineering (2010-2017) – IIT Madras, India
    • Advisor: Prof. C. Siva Ram Murthy
  • B.E. in Computer Science and Engineering (2006-2010) – Barkatullah University, Bhopal, India

πŸ”¬ Research Interests

  • Wireless Communication πŸ“Ά
  • Internet of Things (IoT) 🌐
  • Mobile and Small Cell Networks πŸ“±
  • Vehicular Communication πŸš—
  • Device-to-Device Communication πŸ“²
  • Social-Assisted Communication Networks 🀝

πŸ’Ό Work Experience

  • Assistant Professor (Jan 2019 – Present) – IIT Roorkee, India
  • Assistant Professor (Jul 2017 – Dec 2018) – BITS Pilani, Goa Campus, India

πŸ›οΈ Research Grants

  1. DST Nidhi Prayas – Grant Support for Idea to Prototype (Oct 2023 – Oct 2024)
    • FiiRE Goa in collaboration with the Department of Science and Technology, GoI
    • Principal Investigators: Dr. Rahul Thakur and Dr. Swati Agarwal
  2. Start-up Research Grant (SRG) (Nov 2020 – Nov 2022)
    • Department of Science and Technology (DST), Govt of India
    • Project: Social Network Assisted Collaborative Cellular Networks
  3. Faculty Initiation Grant (FIG) (Sep 2020 – Sep 2022)
    • IIT Roorkee, India
    • Project: Green 5G Networks: Communication, Cell Selection, and Resource Allocation Perspectives

Publication Top Notes:

Resource Allocation Optimization in Local and Wide Area Networks through Social Network Integration

Enhancing Connectivity in UAV-Assisted Cellular Networks: A Dynamic Approach to User Association and Resource Allocation

Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System

Social-Assisted Hypergraph Based Subchannel Assignment for UAV Cellular Networks

Clustering and Transmit Power Control for Social Assisted D2D Cellular Networks

Particle Swarm Optimization Algorithms for Altitude and Transmit Power Adjustments in UAV-Assisted Cellular Networks

 

 

 

 

Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi, Kyung Hee University, South Korea

Prof. Minseok Choi is an esteemed Assistant Professor at Kyung Hee University, South Korea, specializing in Wireless Caching Networks πŸ“‘, Stochastic Network Optimization πŸ“Š, Federated Learning πŸ€–, Reinforcement Learning 🧠, and Non-Orthogonal Multiple Access (NOMA) πŸ“Ά. He earned his Ph.D. and M.S. in Electrical Engineering from KAIST, under the mentorship of Prof. Jaekyun Moon. Prof. Choi leads the Wireless Intelligent Network (WIN) Lab, contributing significantly to advancements in wireless communications. His teaching portfolio includes courses on future communication convergence, AI, and wireless networks.

🌐 Professional Profile:

Scopus

Education

  • Ph.D., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Queue-Based Performance Optimization under Latency Constraint in Multi-User Cellular Environments
    Advisor: Prof. Jaekyun Moon
    Aug. 2018
  • M.S., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Soft Information Correlation in Iterative Decoding of LDPC Codes
    Advisor: Prof. Jaekyun Moon
    Feb. 2013

Research Interests

  • Wireless Caching Network
  • Stochastic Network Optimization
  • Federated Learning
  • Reinforcement Learning
  • Non-Orthogonal Multiple Access (NOMA)

Research Experience

  • Assistant Professor, Kyung Hee University
    Department of Electronic Engineering, Wireless Intelligent Network (WIN) Lab.
    Mar. 2022 – Present
  • Assistant Professor, Jeju National University
    Department of Telecommunication Engineering, Wireless Communications and Distributed Systems Lab.
    Mar. 2020 – Feb. 2022

Teaching Experience

  • Kyung Hee University
    • Future Communication Convergence (Spring 2023)
    • Communication Mathematics (Spring 2023)
    • Software Laboratory (Spring 2023)
    • Wireless Network Convergence (Fall 2022)
    • Artificial Intelligence (Fall 2022)
    • Reinforcement Learning (Spring 2022)
    • Adventure Design (Spring 2022, Fall 2022, Spring 2023)

Publication Top Notes:

  1. Title: SWIPT-Enabled NOMA in Distributed Antenna System with Imperfect CSI for Max-Sum-Rate and Max-Min Fairness
    • Journal: IEEE Systems Journal
    • Year: 2023
  2. Title: Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes
    • Journal: ETRI Journal
    • Year: 2023
  3. Title: Energy-Efficient Power Control for Simultaneous Wireless Information and Power Transfer – Nonorthogonal Multiple Access in Distributed Antenna Systems
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2023
  4. Title: Quantum distributed deep learning architectures: Models, discussions, and applications
    • Journal: ICT Express
    • Year: 2023
  5. Title: Optimal Power Allocation and Power Splitting Ratio Assignments for SWIPT-Enabled Orthogonal Multiple Access with Distributed Antenna Systems
    • Journal: Electronics (Switzerland)
    • Year: 2023