Dr. Anshika Arora

Dr. Anshika Arora is Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University. She earned her Ph.D. from Netaji Subhas University of Technology in the domain of Intelligent Behavioral health analytics. She received her B.Tech. in computer science from the University of Delhi and M.Tech. in software engineering from Delhi Technological University where she was awarded the Vice Chancelor's Gold Medal. She previously worked for nearly three years at the School of Computer Science Engineering and Technology, Bennett University. Her research interests include computational cyberpsychology, behavioral health analysis, and web analytics using soft computing techniques. She has multiple publications in SCI/SCIE-indexed journals, international conferences, along with book chapters and patents, and has served as a reviewer for several academic journals.

 

Research Profile

Scopus ID : 57213901686

ORCID ID: 0000-0003-0414-1874

Google Scholar ID Link : https://scholar.google.com/citations?user=Zqfr1-wAAAAJ&hl=en&oi=ao

July 2022- March 2025           Assistant Professor, Bennett University, The Times Group (2 years, 9 months)

                                                Data Science Specialization Coordinator, Bennett University, The Times Group

July 2019- July 2022              Teaching cum Research Fellow, Netaji Subhas University of Technology (3 years)

 

Data Mining

Machine Learning

Software Egineering

Data Warehousing

Big Data Analytics

Foundation to Data Science and Analytics

Basics of Machine Learning and Applications

SCIE Journals

• Arora, A., 2024. IoT-Enabled Smart Mental Health Assessment Using Deep Hybrid Regression Models Over Actigraph-Based Sequential Motor Activity Data. Arabian Journal for Science and Engineering (Springer), pp.1-15.  Impact Factor: 2.6
• Arora, A., Chakraborty, P., Bhatia, M.P.S. and Kumar, A., 2023. Deep?SQA: A deep learning model using motor activity data for objective sleep quality assessment assisting digital wellness in healthcare 5.0. Expert Systems (Wiley Online Library), e13321.  Impact Factor: 3
• Kumar, A., Sangwan, S.R., Arora, A. and Menon, V.G., 2022. Depress-DCNF: A Deep Convolutional Neuro-Fuzzy Model for Detection of Depression Episodes Using IOMT. Applied Soft Computing, (Elsevier), 122, p.108863.  Impact Factor: 7.2
• Arora, A., Chakraborty, P. and Bhatia, M.P.S., 2022. Intervention of Wearables and Smartphones in Real Time Monitoring of Sleep and Behavioral Health: An Assessment Using Adaptive Neuro Fuzzy Technique. Arabian Journal for Science and Engineering, (Springer), 47(2), pp.1999-2024.  Impact Factor: 2.6
• Arora, A., Chakraborty, P. and Bhatia, M.P.S., 2020. Analysis of Data from Wearable Sensors for Sleep Quality Estimation and Prediction Using   Deep   Learning. Arabian   Journal   for   Science    and Engineering, (Springer), 45(12), pp.10793-10812.  Impact Factor: 2.6
• Arora, A. and Chakraborty, P., 2020. Diagnosis, Prevalence and Effects of Nomophobia-A Review. Psychiatry Research, (Elsevier), 288, p.112975.  Impact Factor: 4.2
• Kumar, A. and Arora, A., 2019. An ANFIS-Based Compatibility Scorecard for IoT Integration in Websites. The Journal of Supercomputing, (Springer), 76(4), pp.2568-2596.  Impact Factor: 2.5           
• Kumar, A., Sangwan, S.R., Arora, A., Nayyar, A. and Abdel-Basset, M., 2019. Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model with Convolution Network. IEEE Access, (IEEE) 7, pp.23319-23328.  Impact Factor: 3.4

 

Scopus Journals

• Chakraborty, P., Ritika, Arora, A., 2025. Correlation among nomophobia, smartphone addiction and smartphone use duration, Human Behavior and Emerging Technologies (Wiley Online Library), in press
• Arora, A., Chakraborty, P., and Bhatia, M.P.S., 2023. Identifying Digital Biomarkers in Actigraph Based Sequential Motor Activity Data For Assessment Of Depression: A Model Evaluating SVM In LSTM Extracted Feature Space. International Journal of Information Technology, (Springer), 15, pp. 797–802 UGC Care List
• Kumar, A. and Arora, A., 2021. Website Quality Analytics using Metaheuristic based Optimization, Recent Advances in Computer Science and Communications, (Bentham Science), 14(3), pp.895-915.
• Arora, A., Chakraborty, P., Bhatia, M.P.S. and Mittal, P., 2020. Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India. Journal of Technology in Behavioral Science, (Springer), pp. 330-337.
• Chakraborty, P., Mittal, P., Gupta, M.S., Yadav, S. and Arora, A., 2020. Opinion of students on online education during the COVID?19 pandemic. Human Behavior and Emerging Technologies (Wiley Online Library), 3(3), pp.357-365.

 

Other Peer Reviewed Journals

• Arora, A., Chakraborty, P., Bhatia, M. P. S., and Puri, A., 2023. Intelligent Model for Smartphone Addiction Assessment in University Students Using Android Application and Smartphone Addiction Scale, International Journal of Education and Management Engineering, 1, pp.29-34.

 

Conference Publications

• Attri, D., Agrawal, A., Kalra, Y. and Arora, A., 2025, December. Social Media Survey Dataset: Exploring the Impact of social media on Personal Well-Being. In E-business technologies conference proceedings (Vol. 4, No. 1).
• Agarwal, A., Arora, A., Chakraborty, P., 2025. FreqEmo: A Twitter dataset comprising users’ tweeting frequency and emotions. In Global AI Summit 2024, in press.
• Arora, A., Chakraborty, P., Bhatia, M. P. S., Yadav, S. and Singla, N., 2024. Nomophobic Behavior among University Students during COVID-19 Imposed Lockdown in India. In 2024 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), (pp. 234-237). 
• Jain, M. and Arora, A., 2023, August. A Novel Distributed Anomaly Intrusion Detection Model for Drone Swarm Network in Smart Nations. In 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon) (pp. 87-91). IEEE.
• Arora, A., Sakshi, and Gupta U., 2023, Ensemble Learning for Enhanced Prediction of Online Shoppers’ Intention on Over-Sampling based Reconstructed Data. In 6th International Conference on Innovative Computing And Communication, in press. (Received Best Paper Award).
• Arora, A., Chakraborty, P. and Bhatia, M.P.S., 2022, January. SleepQual and B. Health: Smartwatch and Smartphone based Behavioral Datasets of Youth. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 340-344), IEEE.
• Arora, A. Chakraborty, P., and Bhatia, M.P.S. Intelligent Behavioral Health Analysis in Youth Using Real-Time Smartphone and Wearable Data. In Proceedings of International Conference on Communication and Computational Technologies: ICCCT 2022, pp. 653-666.
• Arora, A., Chakraborty, P., and Bhatia, M.P.S., 2021. Real Time Smartphone Data for Prediction of Nomophobia Severity using Supervised Machine Learning. In Proceesings of conference on Women Researchers in Electronics and Computing, AIJR Proceedings, pp. 78-83.
• Kumar, A., Sharma, A. and Arora, A., 2019. Anxious Depression Prediction in Real-time Social Data. In international Conference on Advances in Engineering Science Management and Technology (ICAESMT), (Elsevier), Dehradun, India.
• Kumar, A., and Arora, A., 2019. A Filter-Wrapper based Feature Selection for Optimized Website Quality Prediction. In Amity International Conference on Artificial Intelligence (AICAI) (IEEE), pp. 284- 291, Dubai, UAE.
• Sangwan, S.R., and Arora, A., 2019. Supervised Machine Learning Based Buyer’s Bidding Behaviour Detection in Online Auction. International Journal of Information Systems & Management Science, 2(2).

 

 

• Arora, A., Vatsa, D., Srivastava, A., Chauhan, H.V. and Pratap, A., 2025. Leveraging Digital Devices for Objective Behavioral Health Assessment: Computational Machine Learning Methods for Sleep and Mental Health Evaluation. In Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (pp. 347-367). Cham: Springer Nature Switzerland.
• Arvind, V., Arora, A. and Maurya, A., 2025. Detection of depression by utilizing late fusion of sequential actigraphy. Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare, p.177.
• Arora, A., Chakraborty, P., and Bhatia, M. P. S. 2023. Optimizing smartphone addiction questionnaires with smartphone application and soft computing: An intelligent smartphone usage behavior assessment model. In: Sharma, M., Deswal, S., Gupta, U., Tabassum, M., and Lawal, I. A., (Eds.) Soft Computing Techniques to enhance Services in Connected Healthcare Systems, Taylor and Francis, in press.
• Arora, A., Chakraborty, P. and Bhatia, M.P.S., 2021. Problematic use of digital technologies and its impact on mental health during COVID-19 pandemic: assessment using machine learning. In: Arpaci, I., Al-Emran, M., Al-Sharafi, M. A., and Marques, G. (Eds.)  Emerging Technologies During the Era of COVID-19 Pandemic, (Springer), 348, pp.197-221.

• Gupta, M., Pantola, D., Arora, A., Vatsa, D., (2023) Secured Cryptocurrency Involving Advanced Encryption Techniques and Multi-Signature Protocols (India, 202311062476 A) The Patent Office Journal.
• Gupta, M., Arora, A., Pantola, D., Tiwari A., Chouhan G., Tasleem M., Personalized Meal Planning Device (India, 440228-001) The Patent Office, Government of India.

 

 

• “Best Paper Award” in session Machine Learning, Evolutionary and Optimization, International Conference on Innovative Computing And Communication, Shaheed Sukhdev College of Business Studies, University of Delhi in 2023
• “Premier Research Award” for Excellence in Research, Netaji Subhas University of Technology in 2023
• “Commendable Research Awards” for Excellence in Research, Netaji   Subhas University of Technology in 2022, 2023, 2025.
• “Commendable Research Award” for Excellence in Research, Delhi Technological University in 2020
• “Vice Chancellor’s Gold Medal” for scoring first position in M.Tech., Software Engineering, Delhi Technological University in 2019

 

Participated in PDP on "Course File Preparation and Question Paper Setting based on OBE in Oct, 2025 organised by DTU in collaboration with National Institute of Technical Teachers Training and Research, Chennai.

Expert Talks/Invited Lectures/Guest Lectures Delivered

• Delivered Expert Lecture on “AI-driven Behavioral Health Monitoring” in short term course on AI-Powered Innovation: Integrating Future-Ready Technologies in Real-World Applications organized by Department of Computer Science and Engineering, NIT Jalandhar in Nov 2025.

• Delivered Hands-on Session on “Modelling Human Behavior using Sensor Data” in the Faculty Development Program on Human-Computer Interaction: An Indian Perspective (FDP-HCI-25) at Netaji Subhas University of Technology in Feb 2025.
• Delivered Expert Lecture on "Introduction to AI and ML: Types of AI & ML models" at International Centre for Information Systems and Audit (under CAG, India) in their national training program in June 2024.
• Delivered Expert Lecture on "Artificial Intelligence and Machine Learning - Projects and future possibilities in e-governance" at International Centre for Information Systems and Audit in its 56th International training program under ITEC of Ministry of External Affairs in Nov 2023.
• Delivered Expert Lecture on "Applications of AI, ML, and NLP in Audit" at International Centre for Information Systems and Audit (under CAG, India) in May 2023.

Session Chair

• Served as Session Chair at the 2nd Global AI Summit 2025 (International Conference on Artificial Intelligence and Emerging Technologies 2.0) organized by Bennett University in Nov 2025.

• Served as Session Chair at 3rd International Conference “Women Researchers in Electronics and Computing” on Sustainable Development Goals organized by Dr B R Ambedkar National Institute of Technology (NIT), Jalandhar in April 2025.