Samin Bin KarimControls Engineer - Machine Learning Engineer - Software Engineer
About Samin
Technical Specialist and CAV Co-Lead at EcoCAR EV Challenge Team, Illinois Tech with a passion for intelligent vehicle systems, automation, and AI-driven solutions.
Experienced in developing advanced controllers, sensor fusion, and simulation/testing pipelines for autonomous and electric vehicles. Skilled in C/C++, Python, MATLAB/Simulink, and embedded systems, with a strong background in AI, machine learning, and real-time automotive software.
Education
Illinois Institute of TechnologyM.A.S. in Artificial Intelligence
GPA: 3.9 (Aug 2023 – May 2025)
Independent University BangladeshB.Sc. in Computer Science and Engineering
GPA: 3.86 (May 2022)
Oxford International SchoolAdvanced Level (A Level)
Board: Cambridge International Examinations(2016 – 2018)
Group: Computer Science, Mathematics, Physics, Chemistry
Result: A, A, A, A
Oxford International SchoolOrdinary Level (O Level)
Board: Cambridge International Examinations(2014 – 2016)
Group: English Language, Bengali, Mathematics, Additional Mathematics, Environmental Management, Physics, Chemistry, Biology, Computer Studies, Bangladesh Studies
Result: A, A, A, A, A, A, A, A, A, A, A
Honors & Awards
Grainger Computing Innovation Prize
2nd Runners Up (2023)Awarded for innovative computing solutions at Illinois Tech.
Argonne AI Innovation Award
2nd Place (2024-2025)Recognized for excellence in AI-driven research and innovation.
Other Honors & Awards
- Dean’s List (2019-2022)
- IEEE Robotics Competition Winner (2021)
- Undergraduate Research Grant Recipient
Experience
Technical Specialist & CAV Co-Lead
EcoCAR EV Challenge Team, Illinois Institute of Technology | Sept 2023 – Present
- Led development of torque pathway, regenerative braking, and lateral controllers (Stanley, MPC, PID) for advanced vehicle automation.
- Developed Autopark using 2D grid occupancy maps from simulated ultrasonic sensors.
- Integrated Magna Motor, PCM controller, and IMD into powermoding system; tested in HIL/VIL using Speedgoat.
- Designed and tested stateflows for vehicle startup/shutdown, and created custom DBC files for controller communication.
- Developed sensor fusion, Adaptive Cruise Control (ACC), and Lane Centering Control (LCC) in C++/Simulink; performed MIL/SIL testing and requirements analysis.
- Built data visualization and automation pipelines in MATLAB for CAN/ASC/BLF data analysis and test case generation.
- Collaborated on RoarRunner integration and troubleshooting with ACDelco, MDI Tool, and Bender IMD.
Lead Developer, H2.0 Resilience – AI-based Urban Flood Mitigation
IIT Startup Accelerator, Chicago, IL | Jan 2024 – Present
- Designed interpretable Vision Transformer-based models for flood prediction using real-time data.
- Partnered with MWRD and Floodflash to deliver AI-driven solutions for city planning and disaster management.
- Awarded 3rd place in Grainger Computing Innovation Prize 2023.
Full Time Research Assistant
Independent University Bangladesh | Feb 2022 – Jun 2023
- Finalized and submitted research on Shologuti Reinforcement Environment (Unity); built traffic simulations in C++/Lua.
- Tested and modified traffic simulation environments (SUMO, SMARTS, CARLA, Highway-Env).
- Trained RL agents for intersection/highway scenarios; generated synthetic data for particle clustering using Ginko and Pythia.
Teaching Assistant
Independent University Bangladesh | Feb 2022 – Dec 2022
- Assisted with Numerical Methods course; conducted lab classes in Python, NumPy, and matplotlib.
- Created and graded programming assignments and worksheets.
Undergraduate Teaching Assistant
Independent University Bangladesh | May 2018 – Dec 2019
- Conducted lab programming classes in C++ for Algorithms course; assisted students with complex topics.
Research & Volunteering
Contributing to the community and advancing research in AI, security, and healthcare.
Research Assistant
Wang Research Group, Illinois Institute of Technology | May 2024 – Present- Investigated security vulnerabilities in Generative AI-powered drug discovery solutions.
- Researched possible attacks on generative models and implemented defense mechanisms.
Machine Learning Specialist
Bader Lab, University of Chicago | Sept 2023 – Present- Implemented and compared medical image segmentation models for renal cell carcinoma treatment.
- Developing novel transformer-based models with temporal awareness for improved medical imaging analysis.
Project Showcase
Selected projects demonstrating expertise in controls, machine learning, and software engineering.
Histotripsy Segmentation
Developed transformer-based models for medical image segmentation in renal cell carcinoma treatment.
Adaptive Cruise Control (C++)
Implemented ACC in C++ with Python-based test automation and MIL/SIL pipelines.
CAN Data Processing Libraries
Built Python libraries for parsing, analyzing, and visualizing CAN/ASC/BLF vehicle data.
Vehicle ECU Modeling
Modeled automotive ECUs and communication using Python and MATLAB/Simulink.
RL-based Adaptive Cruise Control
Designed RL agents for ACC that learn and adapt to human driving preferences.
Lane Centering Controller (Stanley, C++)
Implemented Stanley controller in C++ with Python-based test automation for lane centering.
Shologuti Game AI
Developed a Shologuti board game with AI agents trained using reinforcement learning.
Robot Arm Manipulation
Programmed and simulated robot arm kinematics and control for pick-and-place tasks.
Test Automation (MATLAB)
Automated test case generation and data analysis for automotive controllers using MATLAB scripting.
Sensor Fusion Demo
Demonstrated sensor fusion algorithms in Python and C++ for autonomous vehicles.
Lua-based Vehicle Simulation
Built and extended vehicle simulation environments using Lua scripting.
Intersection Control Simulation
Simulated and analyzed intersection control strategies for autonomous vehicles.
Contact Me
Feel free to reach out via email or phone, or send a message using the form below.