Teaching

I am passionate about teaching Computer Science and believe that students learn best through a combination of strong theoretical foundations, practical programming experience, and research-oriented thinking. My goal is to make complex topics accessible through visual demonstrations, hands-on programming, and real-world applications.

Teaching Interests

## Quantum Computing Introduction to Quantum Computing, Quantum Gates, Quantum Circuits, Quantum Algorithms, Quantum Programming using Qiskit.

## Cryptography & Network Security Classical Cryptography, Public-Key Cryptography, Cryptographic Hash Functions, Authentication, Digital Signatures, Quantum Cryptography.

## Theory of Computation Finite Automata, Regular Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability.

## Design and Analysis of Algorithms Algorithm Design Techniques, Divide & Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, Complexity Analysis.

## Programming Python Programming, Data Structures, Object-Oriented Programming, Scientific Programming, Quantum Programming.

## Artificial Intelligence & Emerging Technologies Introduction to AI, Machine Learning Fundamentals, Quantum Machine Learning, Emerging Trends in Computing.

Courses I Can Teach

Undergraduate	Postgraduate
Programming in C / Python	Advanced Quantum Computing
Data Structures	Quantum Algorithms
Design & Analysis of Algorithms	Quantum Cryptography
Theory of Computation	Secure Delegated Quantum Computing
Computer Networks	Advanced Cryptography
Cryptography & Network Security	Research Methodology
Operating Systems	Seminar / Dissertation Guidance

Invited Lectures

## Introduction to Secure Computing using Blind Quantum Computation **RNS Institute of Technology** 2026-04-18

## Quantum Computing Algorithms **Bapatla Engineering College** Quantum Computing Bootcamp 2026-03-22

## Applications of Grover Algorithm **QNepal Initiative** QSilver28 2026

## Grover Algorithm and Blind Quantum Computation **SASTRA Deemed University** Faculty Development Program on Quantum Computing 2025-06-30

Teaching Philosophy

I believe that effective teaching combines three essential components:

Strong conceptual understanding
Practical implementation using programming
Research-oriented thinking

In my classes, I emphasize visualization, live coding sessions, mathematical intuition, and interactive discussions. Students are encouraged to explore beyond the syllabus through projects, research papers, and open-source software.

Student Projects

I am interested in supervising projects in the following areas:

Quantum Computing
Quantum Cryptography
Blind Quantum Computation
Quantum Algorithms
Python Programming
Cryptography
Network Security
Artificial Intelligence
Quantum Software Development

Laboratory Experience

I have experience conducting laboratory sessions involving:

Python Programming
Qiskit Programming
Quantum Circuit Simulation
IBM Quantum Platform
Algorithm Implementation
Cryptographic Algorithms
Scientific Computing using Python

Teaching Resources

During my teaching and invited lectures, I prepare:

Comprehensive lecture slides
Live coding demonstrations
Programming assignments
Laboratory exercises
Research paper discussions
Interactive notebooks using Jupyter
Problem-solving sessions

Educational Philosophy

“The purpose of teaching is not merely to transfer knowledge, but to inspire curiosity, develop analytical thinking, and prepare students to become independent learners and future researchers.”

Academic Service

I actively contribute to the academic community through:

Invited lectures
Faculty Development Programs
Research mentoring
Technical workshops
Open-source software development
Research collaborations

Looking Forward

As a faculty member, I aim to establish a research-oriented learning environment where students gain strong theoretical foundations while actively participating in cutting-edge research in Quantum Computing and Computer Science.