Faculty

Dr. Meenakshi Malik is currently serving as Associate Professor and Deputy head in the Department of Computer Science & Engineering at BML Munjal University, Gurugram. She has more than 14 years of teaching and research experience in Artificial Intelligence, Data Science, and Machine Learning. She completed her Postdoctoral Research with Switch Mobility UK | India on AI-driven EV battery health analytics and received an Appreciation Award from Switch Mobility for her research contribution. She is an alumna of IIM Bangalore and recipient of the Best Project Award at IIM Bangalore. Her Ph.D. in AI and Data Science from Maharshi Dayanand University was honored with the Best Ph.D. Thesis Award by the Hon’ble Vice President of India. Her research interests include AI, Machine Learning, EV analytics, intelligent transportation systems, healthcare AI, and big data analytics. Recently, she received an Institutional Research Grant from Lala Lajpat Rai University of Veterinary and Animal Sciences (2026–27) for an AI-based veterinary healthcare project. She is UGC-NET, HTET, and GATE qualified and has published 15+ SCI/SCOPUS indexed journal papers, 20+ conference papers, 7 book chapters, 2 edited books and holds 6 patents.

• Graduation In: B.E. in Information Technology
• Graduation From: MDU Rohtak

• Post Graduation In: M.Tech. in Computer Science & Engineering
• Post Graduation From: MDU Rohtak

• Doctorate In: Ph.D. in AI and Data Science
• Doctorate From: Maharshi Dayanand University, Rohtak
• Doctorate Year: (2017–2022)
• Doctorate In: Executive Programme in Data Science & AI
• Doctorate From: IIM Bangalore
• Doctorate Year: (2022–2023)
• Doctorate In: Postdoctoral Researcher (UK | India)
• Doctorate From: Research Area: Impact of Driving Behavior on Battery SOH
• Doctorate Year: (2025–2026)

• Artificial Intelligence
• Machine Learning & Deep Learning
• Electric Vehicle Battery Analytics
• Driver Behaviour Analysis
• Big Data Analytics
• Predictive Analytics
• Healthcare AI Systems

• Sharma, P., Malik, M., Prabha, C., Aljubayri, I., Singh, R. & Khan, M. Z. (2026). Optimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based Platform. Journal of Computer Science, 22(3), 1014-1033. https://doi.org/10.3844/jcssp.2026.1014.1033 (Q1)
• Chauhan, N., Bansal, S., & Malik, M. (2025). BiLSTM–based regression model for electricity energy consumption prediction. Sādhanā, 50(4), 1-19. (Q2)
• Malik, M., Sharma, P., Punj, G. K., Singh, S., & Gared, F. (2025). Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion. Scientific reports, 15(1), 8838. (SCI Q1)
• Malik, M., Onyema, E. M., Uddin, M., Yadav, P., Sharma, A., Jose, J., … & Abidi, M. H. (2025). Deep learning approach for Parkinson’s screening with geometric features from spiral and wave drawings. Multimedia Tools and Applications, 84(35), 44727-44755. (SCI Q1)
• Predicting EV Charging Behavior by Powertrain and Brand Using Machine Learning, (ICISS 2025), University of Oxford, Oxford, UK. (Presented)

Edited Books:

• Meenakshi Malik, Preeti Sharma and Susheela Hooda (eds.) Textual Intelligence: Large Language Models and Their Real-World Applications, © 2025 Scrivener Publishing LLC,()
• Malik, M., Kumar, A.V.S., Erkollar, A., & Maśloch, P. (Eds.). (2025). Artificial Intelligence for Autonomous Vehicles and Driver Assistance Systems (1st ed.). CRC Press. https://doi.org/10.1201/9781003519423

• Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le,” Driving Pattern Profiling and Classification Using Deep Learning”, Intelligent Automation & Soft Computing, Tech Science Press (SCIE) Vol.28, No.3, 2021, pp.887-906, doi:10.32604/iasc.2021.016272, Impact Factor: 1.276, ISSN: 2326-005X.
• Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le,” Deriving Driver Behavioral Pattern Analysis and Performance Using Neural Network Approaches”, Intelligent Automation & Soft Computing, Tech Science Press (SCIE) , 32(1), 87–99. Impact Factor: 1.276
• Meenakshi Malik; Malik, M., Nandal, R., Dalal, S., Maan, U., & Le, D. N. An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-10.
• Meenakshi Malik, Nandal, R., Singh, Y., Barak, D. D., & Kumar, Y. P. (2022). A Metaheuristic Approach to Map Driving Pattern for Analyzing Driver Behavior Using Big Data Bhatt, A., Alam, T., Rane, K. P., Nandal, R., Malik, M., Neware, R., & Goel, S. (2021). QuantumInspired Meta-heuristic Algorithms with Deep Learning for Facial Expression Recognition under Varying Yaw Angles. International Journal of Modern Physics C (SCIE), Impact Factor: 1.176, ISSN (online): 1793-6586.
• Meenakshi Malik, Yashpal Singh, Puneet Garg and Swati Gupta,” Deep Learning in Healthcare system”, International Journal of Grid and Distributed Computing (SERSC) (ESCI), Vol. 13, No. 2, (2020), pp. 469- 468, ISSN: 2005-4262.
• Meenakshi Malik, “Quantum- Inspired Firefly Algorithm Integrated with Cuckoo Search for Optimal Path Planning”, World Scientific(SCI), International Journal of Modern Physics C, Impact Factor: 1.176, ISSN (online): 1793-6586.
• Dalal, S., Dahiya, N., Seth, B., Jaglan, V., Malik, M., Surbhi, S., … & Hu, Y. C. (2021). Adaptive Traffic Routing Practice for Load Balance and Congestion Control in AdHoc Network in Cloud-MANET., Soft Computing, Impact Factor: 3.643
• Meenakshi, Rainu, Kamaldeep Joshi, “OBD: Automobile Technology – An Answer to Environment, Road and Vehicle Safety”, Journal of Advanced Research in Dynamical and Control System, vol- 12, issue 06, pp.30-41 -Special Issue, ISSN: 1943-023X, DOI: 10.5373/JARDCS/V12SP6/SP20201004
• Meenakshi, Rainu Nandal,” A literature review: big data and association rule mining”. International Journal of Engineering & Technology, 7 (2.7) (2018) 948-951, ISSN: 2227-524XDOI:10.14419/ijet.v7i2.7.11431
• Malik, M., Nandal, R., Maan, U., & Prabhu, L. (2022). Enhancement in identification of unsafe driving behaviour by blending machine learning and sensors. International Journal of System Assurance Engineering and Management, 1-10.

Case Studies

PATENTS

1. Title: Driver Alcohol Level and Sleeping Status Accident Place Detection and Notification System using Machine Learning and Deep Learning Programming – Published under Office of Controller General of Patents Design and Trademarks, Government of India on March 26, 2021. Application No: 202111008302

2. Title: AI based Social Utility Waste Bin – Patent number: 2021105270, Australian Patent, Status: Granted on October 27, 2021

3. Title: Smart IOT enabled cloth stand for Balcony – Published under Office of Controller General of Patents Design and Trademarks, Government of India on May 27,2022. Application No: 202211029308

4. Title Blockchain based system for optimized vehicle insurance claim and settlement process using IOT sensor – Published under Office of Controller General of Patents Design and Trademarks, Government of India on December 09, 2022.  Application No.202211069056 A

5. Title Method for performing artificial intelligence/natural language processing-based punctuation correction – Published under Office of Controller General of Patents Design and Trademarks, Government of India on February 17, 2023.  Application No.202311008613 A

AWARDS

• Appreciation award for best thesis
• Best Project award at IIM Bangalore; Project title: “Intelilearno: AI-Enhanced Educational Platform for Multilingual Content Conversion and Interaction”
• UGC-NET Qualified National Eligibility Test (NET) in June – 2015, conducted by UGC, India.

• Best Ph.D. Thesis Award by Hon’ble Vice President of India
• Appreciation Certificate from Switch Mobility for Postdoctoral Research
• Best Project Award at IIM Bangalore
• UGC-NET Qualified
• HTET Qualified
• GATE Qualified (Computer Science & IT)
• Holder of 6 Patents in AI, Blockchain, and Intelligent Transportation Systems

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science
• Database Management Systems (DBMS)
• Design & Analysis of Algorithms
• Theory of Computation
• Data Structures & Algorithms
• Python Programming
• Big Data Analytics