About Me

Hello! 👋 I am Samarjeet Das: a researcher with a PhD in Signal Processing and Machine Learning from IIT Guwahati. I am deeply intrigued by signals and passionate about leveraging machine learning and deep learning models to predict and classify future trends and patterns. I am also interested in emerging paradigms like Agentic AI to build autonomous systems that can reason, adapt, and optimize complex processes.


+ From September 2025 - Now: I am an AI/ML Research Scientist at the ABB Corporate Research Center, Bengaluru (India).

Research Interests: - Application of Machine Learning and Deep Learning Models, - Time-frequency Analysis of Non-stationary Signals, - Laser Weld Quality Monitoring, - Design and Development of Embedded Systems, - Retrieval Augmented Generation (RAG), - Agentic AI, - Process Control Automation

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Previous Affiliations

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A bit more information

GitHub-ID: oksamar.
Google Scholar: Click here.
Email-id: samarjeet025@gmail.com, samar176102005@iitg.ac.in

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Courses Taken

Linear Algebra, Pattern Recognition and Machine Learning, Biomedical Signal Processing, Digital Signal Processing and Architecture, Probability and Random Process, Mechatronics, Robotics, Embedded system, Micro-electromechanical Systems. The above courses are the few I took during my M.Tech and Ph.D coursework.

Skills summary

Coding: Python, Matlab, SQL, C++; Documentation: Latex, Microsoft Word. Machine Learning: Theory and implementation of regression and classification models; Platforms: Linux, Windows; Soft-skills: Critical thinking, Technical writing, Public speaking, Event management.

Research

• Biomedical signal processing especially analysis of cardiovascular signals such as heart sound using phonocardiogram (PCG), electrocardiogram (ECG) signal and seismocardiogram (SCG) signal. Time-frequency analysis of non-stationary signals, Design and development of electronic circuits, Machine learning and deep learning applications

Peer-reviewed Published Findings
(for updated list see Google Scholar)

List of Journals

• S. Das and S. Dandapat, "Heart Murmur Severity Stages Classification Using Multikernel Residual CNN," IEEE Sensors Journal, 2024.
• S. Das, D. Joytishi, and S. Dandapat, "Automated Detection of Heart Valve Diseases Using Stationary Wavelet Transform and Attention Based Hierarchical LSTM Network," IEEE Transactions on Instrumentation and Measurement, 2023.
• S. Das, D. Joytishi, and S. Dandapat, "Heart Valve Diseases Detection Based on Feature-fusion and Hierarchical LSTM Network," IEEE Transactions on Instrumentation and Measurement, 2022.
• S. Das and S. Dandapat, "Multicomponent Oscillatory Model based Heart Sound Classification," Journal of Acoustic Society of India (JASI), 2020.

List of Conferences

• • MJ Singh, S. Das, LN Sharma, and S. Dandapat, “Stationary Wavelet Transform Based Detection of Aortic Stenosis Using Seismocardiogram Signal,” 2023 National Conference on Communications (NCC), Guwahati, India, 2023.
• • S. Das and S. Dandapat, “Automated Detection of Heart Murmurs From the PCG Signal Using Stationary Wavelet Transform,” INDICON, Kerala, India, 2022.
• • S. Das and S. Dandapat, “Multiscale Kernel Residual Convolutional Neural Network to Detect Heart Valve Diseases,” INDICON, Kerala, India, 2022.
• • S Kumari, D Jyotishi, S. Das, and S. Dandapat, “Analyzing The Effect of Segmentation on PCG Based Biometric System,” INDICON, Kerala, India, 2022.
• • S. Das and S. Dandapat, “Synthesis and Classification of Heart Sounds Using Multi-component Oscillatory Model,” 2020 National Conference on Communications (NCC), Kharagpur, India, 2020.
• • S. Das, and SRK. Vadali, “Design Development and Experimental Validation of an Underwater Acoustic Pinger System,” INDICON, Roorkee, India, 2017.

Projects and Workshops

• • Automated Detection and Classification of Heart Valve Diseases Using Phonocardiogram Signals
  Mentor: Prof. S. Dandapat, EEE Department, IIT Guwahati.
  The Project was my PhD Thesis Work. The project aims to develop a robust framework consists of extracting novel features followed by machine learning models to detect different heart valve abnormalities. (2017 - 2023)
• • Studies on Development of an Underwater Acoustic Pinger System for Source Localization
  Mentor: Dr. SRK Vadali, Principal Scientist, CSIR-CMERI, Durgapur.
  The Project was my MTech Thesis Work. The objective of the project was to design and develop an underwater communication system for source detection and localization. (2015 - 2017)
• • Development of a GSM Based Home Automation and Security System
  Mentor: Dr. Satyasen panda, Krupajal Engineering College, Bhubanseswar.
  This was my BTech Project. The objective of the project was to design a cost-effective solution that remotely controls home appliances and enables home security against intruders. (2010 - 2011)
• • Attended workshop on “Tutorial Series on Deep Learning using Tensorflow (TSDLT),” organized by IEEE Branch, IIT Guwahati, Oct. 2018.
• • Student Member, Organizing Committee, Workshop on "AI in Healthcare Engineering", NECBH, IIT Guwahati, March 28-30, 2019.
• • Attended workshop on "Summer School on Automatic Speech Recognition" jointly organized by department of EEE and CLST, IIT Guwahati, June 2-7, 2019.

Academic Achievements

• • PhD scholorship holder of MHRD fellowship, Govt. of India, 2017 - 2022.
• • MTech scholorship holder of MHRD fellowship, Govt. of India, 2015 - 2017.
• • Graduate student member of IEEE community, 2022 - Present.
• • Member, IEEE Instrumentation and Measurement Society, 2022 - Present.
• • Member, IEEE Young Professionals, 2022 - Present.
• • Reviewer of Elsevier and Springer Journals, 2020 - Present.
• • Event Manager (Organizing technical events, workshops and talks), RSF-EEE, IIT Guwahati, 2018 - 2019.

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