Faculty

Dr. Nishtha Phutela is an Assistant Professor in the School of Engineering & Technology at BMU Munjal University, Gurgaon. She has great passion for teaching and empirical research. She has taught various subjects like Data Structures and Algorithms, Operating Systems, Python programming, Big Data Analytics, Human Computer Interaction. Her research area is utilizing machine learning algorithms for building healthcare applications and IOT based applications. She also has active interest in building effective interfaces for optimal human computer interaction

• Graduation In: B.Tech in Information Technology
• Graduation From: Banasthali University, Rajasthan
• Graduation Year: 2013

• Post Graduation In: Computer Science with specialization in Mobile Computing
• Post Graduation From: IIIT Delhi
• Post Graduation Year: 2015

• Doctorate In: Computer Science
• Doctorate From: BML Munjal University
• Doctorate Year: 2017-2022

• Software Engineering
• Database Management Systems

Journal Publications

• Atluri Nikhitha, Adwityaa Jha, Nishtha Arora and Goldie Gabrani. “IOT enabled clothing for the elderly.”, Functional Textiles and Clothing Conference, 7th – 9th Feb , 2020 at IIT Delhi
• Nishtha Arora, “The 4W 1H model for understanding the Effect of Teaching Pedagogy on the needs of Millennial Students,” International Journal of Engineering, Applied and Management Sciences Paradigms (IJEAM) – 2019.
• Arora, Nishtha, and Goldie Gabrani. “Significant Machine Learning and Statistical Concepts and their Applications in Social Computing.” 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC). IEEE, 2018.
• Arora, Nishtha, and Goldie Gabrani , Improving Patient Health Care Using Machine Learning Tools and Technologies, Proceedings of the 11th INDIACom; INDIACom-2017; IEEE Conference ID: 40353 2017 4th International Conference on “Computing for Sustainable Global Development”, 01st – 03rd March, 2017 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA)
• Phutela, N., Gabrani, G., Kumaraguru, P., & Relan, D. (2023). Effectiveness of Higuchi fractal dimension in differentiating subgroups of stressed and non-stressed individuals. Multimedia Tools and Applications, 1-18 [SCI, Q1, IF: 3.6]
• Jaisinghani, D., & Phutela, N. (2023). Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer Traffic. Sensors, 23(14), 6631. [SCI, Q1, IF: 3.9]
• Phutela, N., Chowdary, A. N., Anchlia, S., Jaisinghani, D., & Gabrani, G. (2022). Unlock Me: A Real-World Driven Smartphone Game to Stimulate COVID-19 Awareness. International Journal of Human-Computer Studies, 164, 102818. [SCI, Q1, IF: 5.4]
• 2021 Gupta, S., Gabrani, G., & Phutela, N. (2021). Analysis of the COVID-19 pandemic data across different states and union territories of India and effectiveness of the lockdown. International Journal of Critical Infrastructures, 17(4), 369-381. [WoS, ESCI]
• Phutela, N., Gupta, S., & Gabrani, G. (2021). Real-time modelling and forecasting of confirmed and death cases for immediate action and their prevention against COVID-19 in India. International Journal of System of Systems Engineering, 11(2), 159-169. [Scopus]

Conference Publications

• Moin S, Belani M, Singh P, Phutela N, Singh P, “But I Won’t Say That It was Bad Seeing a Real Vagina”: Understanding Perspectives towards Learning Sensitive-Critical Health Topic, ACM CHI 2025 (A*)
  Singh, R., Phutela, N., & Jaisinghani, D. iMat: A Non-Intrusive and Low-Cost Sleep Posture Estimation Mat (Comsnets, 2024)
• Tune into Your Feelings: NLP-Powered Emotion-Driven Music Recommender Systems” – accepted for presentation in “5th International Conference on Artificial Intelligence and Speech Technology (AIST-2023).
• Grover, H., Jaisinghani, D., Phutela, N., & Mittal, S. (2022, January). ML-based device-agnostic human activity detection with WiFi sniffer traffic. In 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 72-77). IEEE.
• Phutela, N., Relan, D., Gabrani, G., & Kumaraguru, P. (2021, November). EEG based stress classification in response to stress stimulus. In International Conference on Artificial Intelligence and Speech Technology (pp. 354-362). Cham: Springer International Publishing.
• Chowdhary, A. N., Phutela, N., Gupta, S., & Gabrani, G. (2021, October). Game based User Interface to Help Dementia Patients Improve their Cognitive and Physical Abilities. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3356-3360). IEEE.
• Phutela, N. (2021, October). Measuring Stress Appraisal Through Game Based Digital Biomarkers. In Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play (pp. 403-404).
• Arora, N., & Gabrani, G. (2018, December). Significant machine learning and statistical concepts and their applications in social computing. In 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) (pp. 57-61). IEEE.

• Excellence in teaching award (2017) on Founder’s Day at BML Munjal University
• Excellence in Teaching Award – On Founder’s Day, 2017
• Recognition for Research Excellence – BMU, 2022, 2023
• Nominated at the university level for the National Award to Teachers (Ministry of Education), 2023
• Selected by student body as a teacher who truly makes a difference – “Through the Lens” project initiative by PAC, BMU, 2024
• Delivered an invited Talk at Law Conclave, Indian Habitat Centre, Lodhi Road, September 2022
• Delivered at invited talk at Software Technology Parks of India (STPI, Mohali) at their startup demo day in March 2023.