Deepika Kamboj

Deepika Kamboj is an Assistant Professor-Senior Scale at UPES, Dehradun, with over nine years of academic experience. She is currently pursuing her PhD in Computer Science at the Indian Institute of Technology Jodhpur, building on her M.Tech from Dr. B R Ambedkar National Institute of Technology, Jalandhar. Deepika has been awarded a Junior Research Fellowship (JRF) and achieved a GATE score of 99.37 percentile, reflecting her strong academic background. 

Passionate about emerging technologies, she specializes in machine learning, programming, and data structures while mentoring undergraduate students. With proficiency in languages such as Python, Java, C, Swift, and Objective-C, Deepika possesses strong analytical and logical skills. She is dedicated to inspiring and empowering the next generation of learners and innovators in the field of computer science. 

Deepika Kamboj has over nine years of experience in academia, currently serving as an Assistant Professor-Senior Scale at UPES, Dehradun, since September 2024. Previously, she held the position of Assistant Professor at the KIET Group of Institutions from September 2022 to September 2024, where she specialized in Machine Learning and Data Analytics. Prior to that, she worked under the TEQIP III Project (A Project of World Bank in association with Ministry of Education, India)  at MBM Engineering College, Jodhpur, from 2018 to 2022, focusing on enhancing technical education. Deepika also taught at KIET Group of Institutions from January 2016 to December 2017 and served as an Assistant Professor at the Noida Institute of Engineering & Technology for six months in 2015, where she emphasized Data Mining and related subjects. Her diverse teaching portfolio highlights her commitment to integrating research and practical applications in computer science education. 

Deepika Kamboj's research interests lie in the areas of Computer Vision, Deep Learning, Generative AI, and Machine Learning. Her work focuses on exploring innovative approaches within these fields, aiming to push the boundaries of artificial intelligence and its applications in solving real-world problems. 

Deepika Kamboj believes in fostering an inclusive and engaging learning environment where students are encouraged to think critically and collaborate actively. Her approach emphasizes real-world applications, active learning through hands-on experiences, and cultivating a growth mindset. She strives to create a classroom where every student feels valued and inspired to contribute, ensuring they leave not only with knowledge but with the confidence to apply it creatively. 

Deepika Kamboj has taught a wide range of courses that cover both foundational and advanced topics in computer science and emerging technologies. Her teaching portfolio includes:

• Blockchain
• Compiler Design
• Computer Networks
• Data Analytics
• Data Structures
• Deep Learning
• Machine Learning 

Deepika kamboj has been awarded the prestigious Junior Research Fellowship (JRF). 

Deepika Kamboj has actively contributed to the field of computer science through her extensive scholarly work. She has published over 10+ conference and journal papers, showcasing her research in areas such as machine learning and computer vision. Additionally, she has authored 1 book chapter and written 1 book, further demonstrating her commitment to advancing knowledge in her field. Her innovative work has also resulted in 2 patents, reflecting her focus on practical applications of research. Deepika’s scholarly activities highlight her dedication to contributing to both academic literature and real-world advancements in technology. 

deepika.kamboj@ddn.upes.ac.in