Academics

Teaching &
Research

Teaching and academic interests centered on computing fundamentals, software thinking, and student learning in a supportive academic environment.

Curriculum

Courses Taught

A representative set of CSE-focused subjects aligned with undergraduate teaching and foundational technical learning.

CSE 101Undergraduate

Programming Fundamentals

Introduction to problem solving, algorithms, flow control, functions, and structured programming for beginning computing students.

Offered Each Semester
CSE 201Undergraduate

Data Structures

Core data organization concepts including arrays, linked lists, stacks, queues, trees, and algorithmic efficiency.

Offered Each Semester
CSE 220Undergraduate

Software Engineering

Principles of software design, requirements, teamwork, testing, and disciplined development practices.

Spring
CSE 230Undergraduate

Artificial Intelligence

Foundational ideas in intelligent systems, problem solving, search, and introductory machine reasoning concepts.

Fall
CSE 110Undergraduate

Computer Fundamentals

An accessible introduction to computer organization, digital systems, and essential computing concepts.

Spring
EEE/CSE 210Undergraduate

Basic Electronics for Computing

Bridging electronics knowledge with computing applications through logic, signals, and hardware awareness.

Each Semester

Scholarship

Research Interests

Active academic interests grounded in computing, student learning, and systems-oriented thinking.

Artificial Intelligence

Interest in foundational AI concepts and how intelligent systems can support future learning and application.

Software Development

Exploring practical software design approaches that help students connect theory with implementation.

Embedded and Computing Systems

Drawing from an EEE background to stay engaged with electronics-aware computing and systems thinking.

Computer Fundamentals Education

Interest in teaching strategies that strengthen conceptual understanding in early-stage computing courses.

Research

Current Research

Verified project information and focused academic direction.

RUET
Research Project

Smooth Control of Torque and Speed of FCEV system with MPC and LQR Controllers

Project Institute: RUET

Project Supervisor: Md. Abu Hanif Paramanik