I am a doctoral researcher in Cyber-Physical Systems at the Indian Institute of Technology Delhi, working with Prof. Subrat Kar. My doctoral research investigates cross-modal gait identification and behavioral sensing, building recognition systems that fuse structural vibration and vision to understand how people move. Before this, I completed an M.Tech in Mechatronics Engineering at IIEST Shibpur, working on human movement identification using seismic and vision sensors.

My path into research has run alongside applied and industry work. As Product Architect & Deep Learning Engineer, I led the design of a vibration-sensor-based predictive maintenance system that secured national incubation support. As a research intern, I built a pruned TensorFlow Lite model for on-device object detection at Proxmaq, implemented Bi-LSTM networks for real-time arrhythmia classification at RemoCare, and developed CNN/LSTM models for seismic human activity recognition at CSIR-CMERI.

My work has been recognized with a Prime Minister's Research Fellowship (2021-2025), consecutive IEEE Signal Processing Society Scholarships (2024, 2025), and selection as one of 200 young researchers worldwide to attend the 13th Heidelberg Laureate Forum in 2026. My research appears in venues including Nature Scientific Data, IEEE Transactions on Mobile Computing, and IEEE Transactions on Instrumentation and Measurement, alongside three patents in sensing and identification systems. Beyond the lab, I teach as an NPTEL graduate teaching assistant, and enjoy running, swimming, and writing.

News

• Jun 2026 Selected to participate as a young researcher at the 13th Heidelberg Laureate Forum.
• Jun 2026 Pre-Ph.D. synopsis presentation approved by the Dean.
• Mar 2026 Paper accepted at the CVPR 2026 Biometrics Workshop.
• Nov 2025 Awarded the IEEE Signal Processing Society (SPS) Scholarship 2025.
• Oct 2025 Dataset paper published in Nature Scientific Data.
• Sep 2025 Presented research at IWSHM 2025, Stanford University, USA.
• Aug 2025 Paper accepted at IEEE Transactions on Mobile Computing (TMC).
• Mar 2025 Received an IEEE ICASSP 2025 travel grant to present in the USA.
• Jan 2025 Paper selected at ICASSP 2025.
• Jan 2025 Appointed Head of the IEEE Delhi SPS Student Chapter.
• 2024 IEEE SPS Scholarship, within top 25% of candidates, USA.
• 2024 Poster presentation at Applied Harmonic Analysis & ML 2024, MALGA, Genova, Italy.
• 2024 Paper selected at IEEE Sensors Letters.
• 2024 Attended the Machine Learning Summer School, ETH Zurich & Universitätsklinik Balgrist.
• 2023 TensorFlow Developer Certificate — Credential ID: 87883013.
• 2023 Paper selected at IEEE Signal Processing Letters.
• 2022 Raised $10k for a predictive maintenance startup (exited 2023), India.
• 2022 Awarded the PMRF Scholarship — top 0.5% among 212,568 candidates, India.
• 2019 GATE Fellowship — top 6% among 167,376 candidates, India.

Experience

• Feb 2022 – Present Graduate Research Assistant, IIT Delhi, India. Exploring cross-modal gait identification and behavioral sensing using structural vibration and vision-based deep learning frameworks.
• Jan 2026 – Jun 2026 Artificial Intelligence Expert, IIT Delhi Endowment Fund, India. Developed AI-driven technical pipelines, streamlining data processing and alumni engagement strategies for the Endowment Fund.
• Dec 2021 – Aug 2022 Product Architect & Deep Learning Engineer, New Delhi. Led design of a vibration-sensor-based predictive maintenance system; secured innovation grants and national incubation support at IIT-Mandi and IIM-Bangalore.
• May 2020 – Oct 2021 Research Internships, multiple organizations — Proxmaq: built pruned TF-Lite models for object detection in assistive smart glasses; RemoCare: implemented Bi-LSTM networks for real-time arrhythmia classification; CSIR-CMERI: developed CNN/LSTM models for seismic human activity recognition.

Research Project / Consultancy

• Predictive Maintenance for IFB Washing Machines, IFB Industries. Consulting on a vibration-sensor-based predictive maintenance system for home appliances.
• Elephant Monitoring with Nandankanan Zoological Park, Odisha. Consulting on a ground-vibration-based elephant detection and monitoring system to mitigate man–animal conflict.

Publications

Journal Articles

1. Deepstep: A Deep Learning-based Indoor Person Identification Framework using Footstep-Induced Structural Vibration Signals. M. Chakraborty, Chandan, S. Anchal, B. Mukhopadhyay, and S. Kar. IEEE Transactions on Instrumentation and Measurement, accepted Nov. 2025.
2. A Structural Vibration-based Dataset for Human Gait Recognition. M. Chakraborty, Chandan, S. Anchal, B. Mukhopadhyay, and S. Kar. Scientific Data, 2025. [Link]
3. Deep Multi-Class Novelty Detection in Structural Vibrations with Modified Contrastive Loss. M. Chakraborty, Chandan, B. Mukhopadhyay, and S. Kar. IEEE Transactions on Mobile Computing, 2025. [PDF]
4. GajGamini: Mitigating Man–Animal Conflict by Detecting Moving Elephants Using Ground Vibration-Based Seismic Sensor. M. Chakraborty, Chandan, S. Anchal, B. Mukhopadhyay, and S. Kar. IEEE Sensors Letters, 2024. [PDF]
5. Enhancing Person Identification Through Data Augmentation of Footstep-Based Seismic Signals. M. Chakraborty and S. Kar. IEEE Signal Processing Letters, 2023. [PDF]

Conference Proceedings

1. Poster Abstract: A Structural Vibration-based Gait Abnormality Detection System. M. Chakraborty, B. Mukhopadhyay, and S. Kar. ACM SenSys, 2025. [PDF]
2. VibeGait: Enhancing Structural-Vibration-based Gait Recognition using Vision. M. Chakraborty, B. Mukhopadhyay, S. Anchal, and S. Kar. IEEE ICASSP, 2025. [PDF]
3. Non-Intrusive Cognitive Load Estimation Using Footstep-Induced Structural Vibration Signals. M. Chakraborty, Chandan, B. Mukhopadhyay, and S. Kar. IWSHM, Stanford University, 2025. [Link]
4. Micro-Seismic Event Detection using Statistical Feature Extraction and Machine Learning Techniques. M. Chakraborty, M. Das, and S. Aruchamy. IEEE I2CT, 2022. [PDF]
5. Human Action Classification using Seismic Sensor and Machine Learning Techniques. M. Chakraborty, et al. IEEE ISCON, 2021. [PDF]

Patents

1. System and Method for Individual Classification and Novelty Detection Using Structural Vibration Data. S. Kar, M. Chakraborty, Chandan, and B. Mukhopadhyay. Filed: 202511042769 (2025).
2. System and Method for Elephant Detection by a One-Dimensional Architecture CNN. S. Kar, M. Chakraborty, Chandan, B. Mukhopadhyay, and S. Anchal. Filed: 202411060463 (2024).
3. Person Identification Through Data Augmentation of Footstep-Based Seismic Signals. S. Kar and M. Chakraborty. Published: 202311045408 (2023).

Education

• 2022 – 2026 (exp.) Ph.D., Cyber-Physical Systems, Indian Institute of Technology Delhi. CGPA: 9.07/10.00. Thesis: “Sensing Human Cognition & Locomotion using Ubiquitous Heterogeneous Sensors.” Awards: PMRF Fellow ’25; IEEE SPS Scholarship ’24, ’25.
• 2019 – 2021 M.Tech, Mechatronics Engineering, IIEST Shibpur. CGPA: 9.00/10.00. Thesis: “Human Movement Identification using Seismic Signals and Vision Sensors.” Awards: GATE Fellow ’21; CSIR-CMERI Student Researcher ’20.

Teaching

• NPTEL TA (2025): Cloud Computing (500+ students)
• NPTEL TA (2024): Machine Learning (Bengali) (100+ students)
• NPTEL TA (2024): Machine Learning (50+ students)
• NPTEL TA (2024): Statistical Inference (50+ students)
• Guest Lecturer (2023): JNU Delhi, School of Engineering (Course EN-112, 120 students)
• Course Instructor (2023): Delhi University (Edge ML Projects)

Service

• Reviewer: IEEE Transactions on Instrumentation and Measurement (TIM), NCC-2026, ICLR-2026, Earth Systems, Earth Science Informatics, Nature – Scientific Report, Array.
• Volunteer: Youth Ideathon 2025, ICASSP 2025 Progress Workshop.

Skills

Languages: Python, C/C++, C#, MATLAB.
Hardware: NVIDIA Jetson (Orin, Nano), Raspberry Pi, ESP-32, Sony Spresence.
Tools: Git, Docker, AWS, CUDA, Linux/HPC, OpenSim, AnyBody, SCONE, Unity Engine, OpenCV.
Certifications: TensorFlow Developer Certificate (2023); AMIE (2023).