The Interdisciplinary Computer Science Research Lab, InteX, stands as a beacon of innovation in the realm of computer science. Our primary mission is to foster a dynamic environment where undergraduate research enthusiasts with the door always open for graduate contributors can bridge diverse areas of study, producing transformative solutions to society's pressing challenges. The name 'InteX' symbolizes our unwavering dedication to seamlessly merging cutting-edge research with practical applications while promoting interdisciplinary collaboration.What sets InteX apart is not just our commitment to theory but our action-oriented approach. We explore a vast spectrum, from machine learning, context-aware computing, mobile sensing, and cybersecurity to IoT, and even extend to fields like biomedical imaging, ensuring our research remains industry-relevant and academically rigorous.Guided by experienced researchers and educators, our students delve into projects that blur the lines between disciplines, unveiling insights that promise sustainable, ethical, and beneficial societal advancements. InteX is more than a lab; it's a community that cherishes creativity and critical thinking. We don't just aim to understand the synergy between technology and human intelligence; we strive to lead in translating these advancements into real-world impact.Welcome to InteX Research Lab – where curiosity drives the future of interdisciplinary computer science.What is my contribution? I initiated the lab, delineated its roadmap, engaged esteemed professors for guidance, ensured collaboration with experienced academicians and industry personnel, fostered innovation among undergrads, directed projects, and promoted interdisciplinary research.How and why did I choose to get involved? Securing a grant from the British Council UK, I recognized the need, mentored some adept undergrads to meld academic research with real-world issues, and fostered a sustainable platform.

Teaching Area:CSE4223 - Neural Networks & Fuzzy Logic, CSE3211/12 - Operating System, CSE2117/18 - Computer Algorithms & Complexity Analysis, CSE1315/16 - Data Structures, CSE1213/14 - Computer ProgrammingCSE1111/12 - Introduction tp Computing (Python) || Professional Engagement: 1. Advisor, IEEE Computer Society LU SB Chapter2. Co Adviser, LU Computer Club3. Member Secretary, IEB Accreditation Committee (Dept of CSE)4. Member, LU Software Evaluation Committee

➔ Courses Taught: Microprocessor & Assembly Language, Algorithms, Data Structure, E-Commerce and Web Application, Computer Fundamentals➔ Served as the Coordinator of IEEE DIU Student Branch and IEEE Computer Society DIU Student Chapter ( January 2019 - September 2019 )

Courses Taught: Embedded System, Computer Fundamentals