Education

University of Virginia , Charlottesville, VA, USA.

Advisor: Dr. Madhav Marathe
Specialization: Knowledge-Guided Machine Learning, Multimodal Understanding, VLMs, Remote Sensing
Award: Endowed Fellowship, UVA School of Engineering & Applied Science (SEAS); awarded to only 20–25 outstanding doctoral students each year

University of Virginia , Charlottesville, VA, USA.

Relevant Courses: Machine Learning (ML), ML in Image Processing, Interpretable ML, Design and Analysis of Algorithms, NLP, Mobile and IoT Security, Software Security via Program Analysis, 3D Computer Vision

CGPA: 3.79 [out of 4.00]
Award: Dean’s List of Honor
Thesis Title: “Detecting Letters and Words from Bangladeshi Sign Language in Real-time”
Thesis Presentation: [Presentation]
Supervisor: Mohammad Imrul Jubair, Assistant Professor, Department of CSE

Experience

Graduate Research Assistant, University of Virginia (2021 – Present)
- Topic: Knowledge-Guided Machine Learning, Multimodal Understanding, VLMs, Multispectral Imagery
Research Intern, USDA-NIFA / NSF AI Institute for Next Generation Food Systems (Summer 2023)
- Topic: Deep Learning, Multispectral Imagery, Data Preparation
Unergraduate Research, Ahsanullah University of Science & Technology (AUST) (2018-2020)
- Deep Learning, Computer Vision, Classification, Real-Time Object Recogntion

Graduate Teaching Assistant, University of Virginia (2021 – 2025)
- Machine Learning
- Neural Networks
- Digital Signal Processing
- Mobile Application Development
Undergraduate Research Mentor, Biocomplexity Institute, University of Virginia (2025 – Present)
Mentoring undergraduate students in computer vision and remote sensing research, with a focus on dataset creation, model evaluation, and research writing.