PhD Students

Sl. No. Name of Student Title of Thesis Year Co-guide, If any
3. Soumya Nandan Mishra -- Jul' 2020 - Till date -
2. Karnish Nasrin Ahmed Tapadar Adaptive Link Scheduling in 6TiSCH Network for Resource Efficient Data Communication Jan' 2019 - Till date Dr. T. Venkatesh
1. Alakesh Kalita Adaptive Resource Allocation for Faster Formation of 6TiSCH Network Jan' 2018 - Till date -

M.Tech. Students

Sl. No. Name of Student Project Title Specialization Year Institution
9. VIKASH RAGHUWANSHI -- CSE 2021-22 IIT Guwahati
8. NALADALA JESHWANTH -- CSE 2021-22 IIT Guwahati
7. ADITYA TANDON -- CSE 2021-22 IIT Guwahati
6. Priya Undirwade Machine Learning-Based Intrusion Detection System for Industrial Internet of Things Data Science 2020-21 IIT Guwahati
5. Arunav Saikia Designing a ML-based IDS suitable for detecting intrusions in resource constrained IoT networks Data Science 2020-21 IIT Guwahati
4. Vinay Kumar Gupta -- CSE 2020-21 IIT Guwahati
3. Priyanshu P. R. Singh Designing a distributed scheduling function for adapting traffic in 6TiSCH networks CSE 2020-21 IIT Guwahati
2. Shiva Verma Adaptive and Distributed Cell Scheduling Function
for 6TiSCH Networks
CSE 2019-20 IIT Guwahati
1. Sushant Yadav Collision Detection and Mitigation in Distributed
Scheduling of 6TiSCH Networks
CSE 2019-20 IIT Guwahati

B.Tech. Students

Sl. No. Name of Student Project Title Year Institution
11. AVIRAL GUPTA Flow-based botnet detection using machine learning 2020-21 IIT Guwahati
10. SUNNY KUMAR A comparative Analysis of ECC and RSA 2020-21 IIT Guwahati
9. SHUBHAM KUMAR Machine Learning and Deep Learning approach for Intrusion Detection Systems 2020-21 IIT Guwahati
8. MAYANK CHANDRA Exploring Decentralized Group Communication 2020-21 IIT Guwahati
7. Baddu Hari Security in IoT based on Smart Contracts 2019-20 IIT Guwahati
6. Durgesh Yadav Lightweight and Distributed Access Control for IoT Devices 2019-20 IIT Guwahati
5. Sachin Chouhan Smart Lighting 2019-20 IIT Guwahati
4. Tamilselvan S Intelligent System for Efficient Power Management in an Organization 2018-19 IIT Guwahati
3. B Sree Siddharth, G Sravan Development of System based Firewall and Monitoring the system through web Application 2017-18 IIT Jodhpur
2. Vivek Dwivedi, Sarvesh kumar Development of eRikshaw Charging Mobile App 2017-18 IIT Jodhpur
1. M. Jagadeesh Network Anomaly Detection using Online Laplacian Component Analysis 2016-17 IIT Jodhpur

For Prospective Students

  • Internship: Bright students may contact with CV for possible internship positions. Also, you have to apply here.

  • PhD Aspirant: Aspiring applicant may write to me with a copy of your updated CV. However, the applicant has to clear the departmental PhD recruitment process. Minimum requirements to work in my group:
    • Strong programming skill using C/C++ and Matlab; Strong foundation on Data Structure and Algorithm.
    • Basic knowledge of Computer Networks. Suggested to read the following books before applying:
      • Computer Networking: A Top-Down Approach; by James F. Kurose and Keith W. Ross; 6th Edition, 2017.
      • Data and Computer Communications; by William Stallings; 10th Edition, 2017.
    • Basic knowledge of IoT. Suggested to read the Chapters 1-8 in the following book before applying in IoT:
      • IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things; by David Hanes et al.; 1st Edition, 2017.
    • Good writing and communication skill in English.
    • Having basic knowledge on Probability, Stochastic Process, Matrix, and Optimization will be preferable.
    • Having knowledge on network simulation (using NS3, Mininet, Cooja, etc.) will be preferable.
  • Syllabus: PhD Entrance Test & Interview in CSE, IIT Guwahati
  • Sample questions: Computer Networks
    • Note: Sample questions are only to indicate the level of difficulty for PhD admission test preparation. However, similar questions may not be set in exam.

  • PhD positions in my research group:

  • Research Profile: If you join in my group, you will be working in any of these research domains:
    • Machine Learning based scheme for IoT applications
    • TinyML for resource constrained IoT devices
    • Improving data communication and networking protocols in IoT (e.g. IEEE 802.15.4, 6TiSCH-MC, MSF, CoJP, 6P, 6LoWPAN, RPL, CoAP, MQTT)
    • IoT Security -- Access Control, Intrusion Detection and Mitigation, Secured Communication, etc.
    • Designing different applications of IoT in Agriculture, Healthcare, Transportation, Smart Grid, and Manufacturing Industry
    • Use of ZigBee, 5G, WiFi6, LoRaWAN, 6TiSCH in different IoT application.