Nishad Tasnim
Laramie,USA
Summary
Research-oriented professional with expertise in artificial intelligence and a strong background in designing data-driven models, writing performance-optimized code in Python and MATLAB, and applying machine learning techniques to solve intricate scientific problems.
Overview
1
1
year of professional experience
Work History
Graduate Research Assistant (GRA)
University of Wyoming
09.2023 - Current
- Autonomous Multi-Agent System Lab (AMSL), EECS : Exploring the limits of Reinforcement Learning trustworthiness via Lyapunov analysis, Trustworthy and safe learning AI ,Funded by NASA
- Designing and developing a Decision Transformer model with reinforcement learning for decision-making tasks (Python)
- Developed Physics informed neural network (PINN) for solving Hamiltonian Jacobi Bellman (HJB) with nonlinear physical system solving complex dynamic control problems (Python & MATLAB)
- Implemented several ML models and various neural network architectures with 90% accuracy
- Research Publications: Nishad Tasnim, Md Omor Faruk and Zejian Zhou 'Optimal Dynamic Load Altering Attack on Power Grids via Electrical Vehicle Charging Stations.'2024 Cybersecurity Awareness Research Symposium (CARS), IEEE, 2024 (Best Paper award)
Education
Master of Science - Electrical Engineering (Minor in AI)
University of Wyoming
Wyoming, USA05-2025
Bachelor of Science - Mechatronics & Industrial Engineering
Chittagong University of Engineering & Technology
Chittagong, Bangladesh08-2022
Skills
Technical skill
- Supervised Learning, Unsupervised Learning
- Deep Learning model, Reinforcement Learning
- Natural Language Processing, Probability & Statistics
- Power grid security
Tools
- Python, MATLAB, and C
- Scikit-learn, TensorFlow, Matplotlib, NumPy
- PyTorch, Keras, SciPy, Pandas
- SQL, AutoCAD, PLC
Communication skills
- Presentation, public speaking
- Team Collaboration
Projects
- Built machine learning models to predict paleoclimate using leaf characteristics, with 90% accuracy
- Load forecasting with a deep learning model, with 92% accuracy
- Exploring FCNN, CNN, and ANN architectures, and transformers for image classification on the MNIST dataset, with 97% accuracy
- Multi-Agent Algorithm, 100-robot path planning using the consensus flocking algorithm
Extracurricular Activities
- Team leader of the cultural organization, 'JOYODDHONY' in my undergraduate university
- Program of the coordinator of the cultural program in the Bangladesh Student Association – University of Wyoming
- Volunteer teacher with a local organization focused on educating underprivileged children
Timeline
Graduate Research Assistant (GRA)
University of Wyoming
09.2023 - Current
Master of Science - Electrical Engineering (Minor in AI)
University of Wyoming
Bachelor of Science - Mechatronics & Industrial Engineering
Chittagong University of Engineering & Technology
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