Arnab Mukherjee
Lawrence,KS
Summary
Professional educator with experience in fostering supportive and effective learning environment. Proven track record of enhancing student engagement and academic success through collaboration with faculty and adaptability to evolving classroom needs. Strong skills in communication, organization, and instructional support. Known for reliability and results-driven approach in educational settings.
Overview
6
6
years of professional experience
Work History
Graduate Research and Teaching Assistant
The University of Kansas
01.2022 - 05.2025
- Managed classroom behavior effectively in EECS 168 – Programming with Python, fostering a positive learning atmosphere conducive to academic success.
- Provided additional support for students with special needs, ensuring they received appropriate accommodations and resources.
- Collaborated with fellow teaching assistants to create a consistent and supportive learning environment for students.
- Evaluated student performance through regular assessments, tracking progress and adjusting instructional strategies as needed.
- Helped with grading assignments and tests, providing constructive feedback to students based on results.
- Conducted research on Vision Transformers for robust person tracking under occlusion—enhancing accuracy via metric learning and non-linear motion modeling—and developed agentic AI applications (chatbots, email responders) using OpenAI Agents SDK, LangGraph, CrewAI, and AutoGen to improve user engagement.
Algorithm Engineer Intern
Ainstein AI
05.2023 - 08.2023
- Conducted and coordinated engineering tests to improve product quality through detailed failure analysis for the client, Doosan Bobcat.
- Developed a 3D tracking algorithm using radar point cloud data from a specially designed in-house radar by Ainstein AI, significantly improving obstacle detection.
- Collaborated with engineers to test and improve the Ainstein AI O-79 product, ensuring optimal performance.
Research Assistant
National Taipei University of Technology
09.2019 - 10.2021
- Developed real-time person counting algorithm using deep learning, boosting the accuracy and precision, of the existing methods.
- Fine tuned person-identification models with custom datasets, improving system reliability.
- Implemented lidar and camera fusion for self-driving vehicles to enhance obstacle avoidance and improve path planning.
Education
Ph.D. - Computer Science
The University of Kansas
Lawrence, KS09.2025
Master of Science - Computer Science
National Taipei University of Technology
Taipei City, Taiwan10.2021
Bachelor of Science - Electronics and Communications Engineering
Silicon Institute of Technology
Bhubaneswar, India04.2017
Skills
- Programming Languages: Python, C/C, Java, SQL
- Computer Vision & Machine Learning: Object tracking, Deep learning, Algorithm development, Vision Transformers, Person tracking, Non-linear Kalman filtering
- LLMs & Agentic AI: Multi-Agent Orchestration, Fine-tuning LLMs, Open-source Model Integration (MCP)
- Data Science & Statistical Methods: Performance testing, Experimental design, Hypothesis testing, Statistical modeling
- Technical Tools: Git, MATLAB, TensorFlow, PyTorch, OpenCV, Scikit-learn, Pandas, NumPy, LangGraph, CrewAI, OpenAI Agents SDK, HuggingFace
Accomplishments
- Awarded the FY 2024 General Research Fund (GRF) by the University of Kansas, supporting innovative research initiatives.
• Awarded the Best Presentation for the session "Artificial Intelligence and IoT" at the IEEE UEMCON 2024 conference.
Awards
Awarded the FY 2024 General Research Fund (GRF) by the University of Kansas, supporting innovative research initiatives., Awarded the Best Presentation for the session "Artificial Intelligence and IoT" at the IEEE UEMCON 2024 conference.
Publications
- C.-M. Liu and A. Mukherjee. Real-time Person Re-Identification using Deep Association Metric with Multiple Inputs. 2021 IEEE 30th Wireless and Optical Communications Conference (WOCC), Taipei, Taiwan.
- A. Mukherjee and D. O. Johnson. Advancing Person Re-Identification through Pose-Estimated Features. 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA
- A. Mukherjee and D. O. Johnson. Enhanced Person Tracking with Metric-Based Learning and Diverse Detector Integration. 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA.
- A. Mukherjee, D.O. Johnson and C.-M. Liu. Performance of Non-Linear Kalman Filter on Person Tracking. IEEE Transactions on Artificial Intelligence (Submitted).
Timeline
Algorithm Engineer Intern
Ainstein AI
05.2023 - 08.2023
Graduate Research and Teaching Assistant
The University of Kansas
01.2022 - 05.2025
Research Assistant
National Taipei University of Technology
09.2019 - 10.2021
Ph.D. - Computer Science
The University of Kansas
Master of Science - Computer Science
National Taipei University of Technology
Bachelor of Science - Electronics and Communications Engineering
Silicon Institute of Technology
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