Education & Curriculum
Academic foundation in Computer Science & Engineering from the International University of Business Agriculture and Technology (IUBAT), complemented by foundational science honors and biomedical AI capstone research.
Bachelor of Science in Computer Science and Engineering (BCSE)
International University of Business Agriculture and Technology (IUBAT)· Sector-10, Uttara, Dhaka, Bangladesh
Rigorous 4-year undergraduate curriculum in the College of Engineering and Technology (CEAT). Completed 144 credit hours with high honors (CGPA 3.89/4.00), demonstrating consistent academic excellence with A+ grades across core computer science, software engineering, systems, and mathematics.
Academic Highlights & Achievements
- Graduated with CGPA 3.89 / 4.00 across 144 credit hours (BCSE, College of Engineering and Technology).
- Earned A+ in CSC 488: Thesis (6.0 credits) and CSC 391: Data Structures and Algorithms (4.0 credits).
- Earned straight A+ across all core programming sequences: JAVA (CSC 383/384), C++ (CSC 283/284), and C (CSC 183/184).
- Earned straight A+ across core systems: Operating System (CSC 307), Database Systems (CSC 433/434), Computer Networks (CSC 465/466), and Software Engineering (CSC 469/470).
- Ranked 13th in the IUBAT Intra University Programming Contest (2024) and 418th in ICPC Asia Regional Preliminary (2023).
- Served as Competitive Programming Mentor (Level 0) and Executive Member of BASIS IUBAT Student Branch.
Higher Secondary Certificate (HSC) — Science
Mohammadpur Govt. College· Dhaka, Bangladesh
Rigorous pre-university science curriculum under the Board of Intermediate and Secondary Education, achieving the highest possible distinction with GPA 5.00/5.00.
Academic Highlights & Achievements
- Perfect GPA 5.00 / 5.00 in National Higher Secondary Examinations.
- Distinction in Higher Mathematics (Calculus, Coordinate Geometry, Trigonometry) and Physics.
- Active participant in science seminars and competitive mathematics study circles.
Deep Learning in Medical Imaging & Biomedical Signal Computing
Completed under course code CSC 488 (6.0 credit hours, Grade: A+). Investigated deep learning and state-space architectures for automated medical image analysis (low-dose CT reconstruction, brain MRI Alzheimer's classification) and biomedical signal processing (ECG arrhythmia classification), establishing the empirical foundation for multiple 1st-author publications.
Comprehensive Coursework
The core theoretical and applied modules completed throughout academic training at IUBAT.
Data Structures and Algorithms
Comprehensive algorithmic study: balanced binary search trees, graph algorithms (Dijkstra, BFS/DFS, MST), dynamic programming, divide-and-conquer, hashing, and rigorous asymptotic complexity analysis.
Theory of Computation
Automata theory, regular expressions, deterministic and non-deterministic finite automata (DFA/NFA), context-free grammars, pushdown automata, Turing machines, decidability, and computational complexity (P vs NP).
Compiler Design
Lexical analysis, syntax analysis (top-down and bottom-up parsing), abstract syntax trees (AST), symbol tables, semantic analysis, intermediate representation (IR), and code generation/optimization.
Computer Graphics
2D and 3D graphics pipelines, coordinate transformations, line and polygon rasterization algorithms, clipping, illumination models, shading, rendering, and visual texture mapping.
Discrete Mathematics
Propositional and predicate logic, set theory, relations, mathematical induction, recurrence relations, graph theory, combinatorics, and discrete mathematical structures for computer science.
Programming Languages and Structures
Comparative paradigms of programming languages: imperative, functional, and object-oriented paradigms, type checking, scoping rules, storage management, and runtime environments.
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