Aryan Bansal is an Assistant Professor at UPES, Dehradun, with an M.Tech in Software Engineering from Delhi Technological University. He has strong expertise in core computer science subjects including Data Structures, Algorithms, Operating Systems, DBMS, Computer Organization, and Mobile Application Development. Actively involved in teaching, project mentoring, placement training, and academic coordination, he also serves as a panelist for interviews and project evaluations. His academic and research interests include software development, machine learning, and applied problem-solving, with a strong focus on industry-oriented and student-centric learning.

Assistant Professor at UPES, Dehradun (July 2024 – Present). Responsibilities include teaching core computer science subjects, acting as a project developer and placement trainer, coordinating second-year courses, and serving as a panelist for mock interviews and project evaluations for MCA, M.Tech, and undergraduate students. 

My teaching philosophy emphasizes conceptual clarity, experiential learning, and industry relevance. I believe in blending theory with hands-on problem-solving through real-world examples, projects, and discussions. I encourage critical thinking, curiosity, and collaborative learning while adapting teaching methods to diverse student needs. My goal is to empower students with strong fundamentals and practical skills that prepare them for professional excellence and lifelong learning. 

Mobile Application Development, Data Structures, Operating Systems, Computer Organization & Architecture, Object-Oriented Programming (Java & C++), DBMS, Python Programming, Artificial Intelligence & Machine Learning, Design Thinking, and Introduction to Software Systems. 

Actively involved in academic project development, evaluation, and mentoring of undergraduate and postgraduate students. Served as a panelist for minor and major project assessments and mock interviews, contributing to academic quality assurance and student employability. Developed and guided projects such as Airport Runway Crack Detection using deep learning models (YOLOv5 and Faster R-CNN) and Twitter Sentiment Analysis using Python and Django frameworks. Regularly engages in curriculum coordination, placement training activities, and academic workshops. Certified in Python programming and advanced C/C++ with A+ grades from recognized institutions. His scholarly interests include applied machine learning, computer vision, and algorithmic problem-solving with a focus on practical implementation and student research guidance. 

Aryan.Bansal@ddn.upes.ac.in