Dr. Monika Lamba is an Assistant Professor in the Department of Computer Science and Engineering at The NorthCap University, Gurugram. She earned her B.Tech in Computer Science and Engineering from Ansal Institute of Technology (AIT), affiliated with IP University, Dwarka, New Delhi. Following that, she completed her M.Tech in Computer Science and Engineering from the University School of Information, Communication and Technology (USICT), Dwarka, New Delhi.

Dr. Lamba has demonstrated her academic excellence by qualifying for the GATE examination four times in 2014, 2017, 2020, and 2023. She earned her Ph.D. in Machine Learning from The NorthCap University, Gurugram. With over seven years of experience in teaching and research, she is a dedicated and passionate educator.

She has presented numerous papers at various international conferences and published research papers in SCI, ESCI, and Scopus-indexed journals and conferences. In addition to her research publications, Dr. Lamba has authored five book chapters and serves as a reviewer for several reputable journals. She has also made significant contributions to innovation, with two published patents to her name. She is a professional member of ACM and is certified in Microsoft AI-900 and AWS Cloud Practitioner.

Akanksha Kaushik is currently working as an Assistant Professor in the Computer Science and Engineering Department of The NorthCap University. She has completed B. Tech with Honors in Information Technology from Maharishi Dayanand University, Rohtak and M. Tech in CSE from The NorthCap University (formerly ITM University). Currently, she is pursuing Ph.D in Computational Neuroscience from The NorthCap University. She has 3 years of teaching experience and 4 years of research experience. Prior to joining NCU, she has worked in NIT Kurukshetra as an Assistant Professor. Her research interests include Computational Neuroscience, Data Science and Machine Learning, Algorithm Design and Analysis, Data Analytics with Tableau and KNIME. As a committed researcher, she has successfully published four research papers in SCOPUS indexed peer-reviewed journals and presented five papers in International Conferences. In addition to this, she has also guided three B. Tech projects and one M. Tech project. She has been a member of the organizing committee of many international conferences and workshops. She was also a supervisor of technical events of National level technical fest – TechSpardha 2014.

Dr. Shraddha Arora is currently an Assistant Professor (Selection Grade) in The Department of Computer Science and Engineering, The Northcap University. She has received her Bachelor of Technology degree in Electronics and Communication Engineering from Guru Gobind Singh Indraprastha University (GGSIPU), Master’s of technology in VLSI and Embedded Systems from Delhi Technological University (Formerly DCE) and Ph.D. in Robotics and Computer Technology from Indian Institute of Technology Delhi (IIT Delhi). She is a co-author to a book titled, “Vision based Identification and Force Control of Industrial Robots” and has published several conferences and journal papers in Springer, IET, IEEE, etc. Prior to joining NCU, she worked on research and industry oriented projects at Industrial Research and Development(IRD) at Indian Institute of Technology Delhi(IIT-D) for almost 5 years. These projects were amalgamation of different disciplines and technologies like computer vision, NLP, image processing, machine learning and robotics. She has also worked on one of the important industrial applications of information fusion used in warehouse automation- use of a robotic arm to pick up an object from the bin. During the course of these projects, Dr. Shraddha has mentored several B.Tech and M.Tech students and has gained significant experience on adapting to different technologies and programming languages. This vivid experience has made her an adaptable learner and an explorer for trying new and unfamiliar things. Her research interests include computer vision in real-time Industrial robotics, machine learning, and NLP.

Dr. Nidhi Malik is currently working as Associate Professor in the Department of CSE & IT, School of Engineering & Technology at The NorthCap University. She has more than 11 yrs. of teaching and research experience. She completed her M. Tech from IIT Bombay and PhD. from JNU, New Delhi. She has published research papers in papers in peer reviewed reputed International Journals and conferences. She has qualified JRF (2013) and is also a member of IEEE and ACM. She has guided more than 24 B.Tech projects. Her areas of interest include Artificial Intelligence, Machine Learning, Natural Language Processing and Semantic Web Technologies.

Dr. Parul Hooda is an Assistant Professor in the Department of Computer Science and Engineering at NorthCap University, Gurugram. She brings a strong academic pedigree, having completed her M.Tech in Software Engineering from Delhi Technological University (DTU), New Delhi, and B.Tech in Computer Science and Engineering from JUIT, Waknaghat. She earned her Ph.D. in Computer Science from Kalinga University, where her doctoral research focused on cybersecurity in Software Defined Networks through advanced intrusion detection and IP traceback mechanisms.

Dr. Hooda is a GATE 2015 qualifier with an impressive score of 678 and All India Rank (AIR) 883, reflecting her deep technical aptitude. Her early education at Delhi Public School, R.K. Puram—a premier CBSE institution—laid a strong foundation for her academic rigor and discipline.

With a passion for teaching and research, she has experience in delivering core computer science courses including Computer Networks, Blockchain Technology, and Big Data Analytics at both undergraduate and postgraduate levels. Her research interests include Federated Learning, Blockchain-based Smart Contracts for IoT systems, and Big Data-driven cybersecurity. She has published in reputed journals such as Springer and the Research Review ournal and continues to guide students in academic projects and emerging technologies. Dr. Hooda is committed to fostering a research-driven, future-ready learning environment that aligns with the evolving landscape of computer science and engineering.