PhD Candidate · Kennesaw State University · Expected 2026

Kanchon K. Podder

I develop continual learning and uncertainty-aware models for adaptive robots and IoT systems that learn over time without forgetting. My work is grounded in computer vision and multimodal perception — combining video, sensor, and signal data for human–robot interaction, biomedical AI, and real-world intelligent systems.

PhD dissertation: General Intelligence for Robots Using Gesture Recognition in Incremental Learning Scenarios
Kennesaw State University, Embodied Intelligence Lab. GPA 4.0 / 4.0.

Continual Learning Computer Vision Robotics & IoT Biomedical AI Multimodal Perception
Kanchon Kanti Podder

Continual & Lifelong Learning

Replay-based and uncertainty-aware frameworks that let robots learn new tasks without forgetting prior knowledge under distribution shift.

Computer Vision & Perception

Video-based gesture recognition, masked autoencoders for self-supervised learning, and multimodal perception from visual and sensor streams.

Robotics & IoT Systems

Deploying adaptive perception models on physical robots and smart IoT agents — bridging sim-to-real gaps in real-world environments.

Biomedical AI

Deep learning for biosignal analysis, medical imaging, and transcranial Doppler ultrasound — translating models toward clinical utility.

Human–Robot Interaction

Trustworthy hand-signal communication between humans and robotic agents, with conformal prediction for uncertainty-aware decision making.

2023 — May 2026 (Expected)

PhD in Interdisciplinary Engineering

Kennesaw State University, USA  ·  GPA 4.0 / 4.0

Specialisation: Intelligent Robotic Systems

Dissertation: General Intelligence for Robots Using Gesture Recognition in Incremental Learning Scenarios

2018 — 2019

M.S. in Biomedical Physics & Technology

University of Dhaka, Bangladesh  ·  GPA 3.87 / 4.0 (WES)

Specialisation: Biomedical Engineering

Thesis: Bangla Sign Language Interpretation by Convolutional Neural Network

2012 — 2017

B.Sc. in Electrical & Electronic Engineering

Chittagong University of Engineering & Technology, Bangladesh  ·  GPA 3.08 / 4.0 (WES)

January 2023 — Present

Graduate Research Assistant

Embodied Intelligence Lab, Kennesaw State University, USA

  • Designed and evaluated continual learning frameworks for lifelong gesture recognition in human–robot interaction, including replay-based methods with conformal prediction for uncertainty quantification.
  • Deployed multimodal perception models on physical robots and contributed to peer-reviewed publications in IEEE GLOBECOM, WF-IoT, AIM, and IROS.

July 2021 — August 2022 & December 2022

Research Assistant

Machine Learning Group, Qatar University

  • Built end-to-end deep learning pipelines for medical imaging — CT-ICH segmentation, ocular analysis, thermography — and developed signer-independent Arabic Sign Language recognition from video.
  • Co-invented a US-filed patent on ML-based stratification for early diabetic foot complications using thermographic imaging; led interpretable and data-efficient ML across multi-institutional datasets.

September 2022 — November 2022

Research Assistant

College of Engineering, Qatar University

  • Developed meta-learning and feature engineering methods for medical image classification tasks.
  • Built deep learning models to classify Parkinson's disease from corneal confocal microscopy images.

July 2019 — June 2020

Research Fellow

Dept. of Biomedical Physics & Technology, University of Dhaka  ·  ICT Division Fellowship

  • Built large-scale image datasets and preprocessing pipelines in MATLAB and Python for biomedical ML research.
  • Delivered CNN-based real-time inference systems and end-to-end ML pipelines for classification tasks.

January 2021 — June 2021

Teaching Assistant

DDS AI Academy, Dream Door Soft. Ltd., Bangladesh

  • Designed and delivered RPA and ML/DL training modules for 50+ students, integrating conceptual instruction with hands-on programming.
  • Mentored students on RPA workflows, deep learning concepts, and applied programming within a project-based learning environment.

June 2017 — May 2018

Service Engineer

Healthcare Division, O.M.C. (Pvt.) Ltd., Bangladesh

  • Performed installation, commissioning, maintenance, servicing of Chemistry and Immunoassay analyzer.
  • Developed hands-on experience on Blood Gas analyzer and Hematology machine.

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Awards & Honours

  • 2024 NSF Student Travel Award — IEEE/ASME AIM 2024
  • 2017 Best Poster — IEEE Region 10 Humanitarian Technology Conference

Service & Leadership

  • 2025– Vice President & Treasurer, IEEE Student Branch, Kennesaw State University
  • 2025– Reviewer, PeerJ Computer Science
  • 2016–17 Student Branch Chair, IEEE CUET

Visits & Exchanges

  • 2019 Sakura Science Exchange Program — Kyushu Institute of Technology, Japan