Abisek Dahal - Human Activity Recognition
Sole Supervisor
Ongoing since January 2023
Rakesh Kumar Gupta - Assessing Deforestation using remote sensing and computer vision techniques
Main Supervisor (Co-Supervisor: Dr. Sheli Sinha Chaudhury, Jadavpur University)
Ongoing since January 2022
Priyanka Sarkar - Enhancing the QoS of IEEE 802.15.4e based 6TiSCH network by envisioning efficient scheduling algorithms
Main Supervisor (Co-Supervisor: Dr. MrinalKanti Debbarma, NIT Agartala)
Ongoing since January 2022
Timothy Dkhar
Co-Supervisor (Main Supervisor: Dr. Diptendu Sinha Roy, NIT Meghalaya)
Moirangthem Rabindra Singh - Cryptographic Schemes for Security and Privacy Issues of Cloud Assisted IoT Based e-Healthcare Systems
Co-Supervisor (Main Supervisor: Dr. Alok Chakraborty, NIT Meghalaya)
Ongoing since July 2019
Kaushik Ray - QoS Improvement of IEEE 802.15.4e Standard
Ongoing since July 2019
Related works accepted in Elsevier Computer Communications and Elsevier Internet of Things Journal.
Kamal Das - Quality of Service Improvement in IEEE 802.15.6-based intra Wireless Body Area Network Communications
Main Supervisor (Co-Supervisor: Dr. Rajarshi Ray, IACS, Kolkata)
Awarded on 7 June 2023
Related works accepted in IEEE Internet of Things Journal, Elsevier Internet of Things Journal, and COMSNETS 2021.
Pynbianglut Hadem - Intrusion Detection and IP-Traceback Schemes for Cybersecurity in Software Defined Networks
Co-Supervisor (Main Supervisor: Dr. Dilip Kumar Saikia, Tejpur University)
Awarded on 14 January 2022
Related works accepted in Inderscience International Journal of Security and Networks and Elsevier Computer Networks.
2024 - Thella Lakshmi Tulasi - Water Quality Monitoring System Using Internet of Things (IoT) And Machine Learning
2023 - Sanchiano Suja - Sentiment Analysis using Machine Learning (Joint Supervisor: Dr. Deepak Kumar, NIT Meghalaya)
2022 - Mrinal Bisoi - Human Activity Recognition Using CTAL Model (Joint Supervisor: Dr. Bunil Kumar Balabantaray, NIT Meghalaya; Related work published in Computer Vision and Machine Intelligence, LNNS, Springer, 2023).
2021 - Nurul Amin Chowdhury - Human Activity Recognition Using Wearable Sensors (Related work published in IEEE ICCE-TW 2020 Conference (awarded 2nd place in DEMO paper award), and IEEE Sensors Journal)
2020 - Utkarsh Saxena - Prediction of Syncope with Machine Learning Techniques using Health Parameters (Related work published in IEEE ICCE-TW 2020 Conference)
2019 - Kaushik Ray - Context-Aware Regulation of Backoff Delay in Wireless Personal Area Networks (Related work published in IEEE TENCON 2019 Conference)
2019 - Pintu Chauhan - Context-Aware Duty Cycle Optimization in IEEE 802.15.4 Protocol
2023 - Oyshi Pronomy Sarker and Jahnavi Kashyap - Waste Material Detection Using Deep Learning Techniques
2023 - Dorababu Arigi and Pranav Pratap Singh - Enhanced Smart Irrigation System Using Tree Model
2023 - Abu Motaleb Rony and Ram Singh - Detecting Covid-19 from Chest X-ray using CNN
2023 - Jessy Neeharika Koduru and Prashant Kumar - Smart Safety Band using Internet of Things
2022 - Vaibhab Kumar Ratnesh, Shivam Chaudhury - Classification of Lung Cancer using Machine Learning Algorithms and Dimensionality Reduction with Comparative Analysis
2022 - Akash Gussain, Samuel Raj Srikakulapu - Real Time Hand Gesture Recognition for American Sign Language
2022 - Kirla Durga Sarath Chandra and Siva Rajesh Paleti - Classification of Brain Stroke using Machine Learning Algorithms and Comparative Analysis of it
2021 - Iba Marbaniang and Allu V Babu - Stress Detection Using Galvanic Skin Response Sensors (Related work accepted in IEEE INDICON 2020Â Conference)
2021 - Rommel Choudhury and Akash Kumar Panda - Development of Hand Gesture Recognition System Using Flex and EMG Sensors (Related work accepted in IEEE IECBES 2021 Conference)
2020 - Amrit Raj and Arun Kumar Verma - Human Activity Monitoring Using Wearable Sensors (Related work accepted as a Book Chapter in Cyber-Physical Systems: Research Issues and Challenges, CRC Press)
2019 - Debapratim Dey - Markov chain-based performance analysis of IEEE 802.15.4 (Related work published in IEEE ANTS 2019 Conference)
2019 - Sri Karan - Development of sensor-based prototype to detect human fall
Iba Marbaniang - B.Tech., NIT Meghalaya - Cardiovascular Disease (CVD) Prediction using Machine Learning Algorithms
Work accepted in IEEE INDICON 2020 Conference.
Sanapala Rajesh - B.Tech., NIT Meghalaya - Hepatocellular Carcinoma (HCC) Liver Cancer prediction using Machine Learning Algorithms
Work accepted in IEEE INDICON 2020 Conference.
Arwatki Chen Lyngdoh - B.Tech., NIT Meghalaya - Diabetes Disease Prediction Using Machine Learning Algorithms
Work accepted in IEEE IECBES 2021 Conference.
Rommel Choudhury - B.Tech., NIT Meghalaya - A Machine Learning Approach To Multi-label Human Activity Recognition Using Smartphone Accelerometer Sensor