FAMOUS: Forensic Analysis of MObile devices Using Scoring of application permissions. - Ajit Kumar 001; K. S. Kuppusamy; Gnanasekaran Aghila (Future Gener. Comput. Syst., 2018)

PACE: Platform for Android Malware Classification and Performance Evaluation. - Ajit Kumar 001; Vinti Agarwal; Shishir K. Shandilya; Andrii Shalaginov; Saket Upadhyay; Bhawna Yadav (IEEE BigData, 2019)

Connect the dots: Accessibility, readability and site ranking - An investigation with reference to top ranked websites of Government of India. - Abid Ismail; K. S. Kuppusamy; Ajit Kumar 001; Pawan Kumar Ojha (J. King Saud Univ. Comput. Inf. Sci., 2019)

A learning model to detect maliciousness of portable executable using integrated feature set. - Ajit Kumar 001; K. S. Kuppusamy; Gnanasekaran Aghila (J. King Saud Univ. Comput. Inf. Sci., 2019)

PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting. - Ajit Kumar 001; Vinti Agarwal; Shishir K. Shandilya; Andrii Shalaginov; Saket Upadhyay; Bhawna Yadav (Future Internet, 2020)

Machine Learning Algorithm for Detection of False Data Injection Attack in Power System. - Ajit Kumar 001; Neetesh Saxena; Bong Jun Choi 001 (ICOIN, 2021)

Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal. - Ajit Kumar 001; Bong Jun Choi 001; Sandeep Kumar Pandey; Sanghyeon Park; SeongIk Choi; Hanumant Singh Shekhawat; Wesley De Neve; Mukesh Saini; S. R. M. Prasanna; Dhananjay Singh 001 (ICHI, 2021)

Analysis of User Interaction to Mental Health Application Using Topic Modeling Approach. - Ajit Kumar 001; Ankit Kumar Singh; Bong Jun Choi 001 (ICHI, 2021)

Benchmarking Machine Learning based Detection of Cyber Attacks for Critical Infrastructure. - Ajit Kumar 001; Bong Jun Choi 001 (ICOIN, 2022)

Privacy-Preserving Digital Intervention for Mental Health Using Federated Learning. - Ankit Kumar Singh; Ajit Kumar 001; Bong Jun Choi 001 (ICHI, 2022)

Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder. - Ho-min Park; Ilho Yun; Ajit Kumar 001; Ankit Kumar Singh; Bong Jun Choi 001; Dhananjay Singh 001; Wesley De Neve (MuSe @ ACM Multimedia, 2022)

Applications of cognitive internet of medical things in modern healthcare. - M. Akhil Jabbar; Shishir Kumar Shandilya; Ajit Kumar 001; Smita Shandilya (Comput. Electr. Eng., 2022)

AI-assisted Computer Network Operations testbed for Nature-Inspired Cyber Security based adaptive defense simulation and analysis. - Shishir Kumar Shandilya; Saket Upadhyay; Ajit Kumar 001; Atulya K. Nagar (Future Gener. Comput. Syst., 2022)

Internet of Things applications placement to minimize latency in multi-tier fog computing framework. - Prasenjit Maiti; Bibhudatta Sahoo 001; Ashok Kumar Turuk; Ajit Kumar 001; Bong Jun Choi 001 (ICT Express, 2022)

Exploring Multimodal Features to Understand Cultural Context for Spontaneous Humor Prediction. - Ankit Kumar Singh; Shankhanil Ghosh; Ajit Kumar 001; Bong Jun Choi 001 (IHCI (1), 2023)

Expand and Shrink: Federated Learning with Unlabeled Data Using Clustering. - Ajit Kumar 001; Ankit Kumar Singh; Syed Saqib Ali; Bong Jun Choi 001 (Sensors, 2023)

Power Quality Forecasting of Microgrids Using Adaptive Privacy-Preserving Machine Learning. - Mazhar Ali; Ajit Kumar 001; Bong Jun Choi 001 (ACNS Workshops (1), 2024)

Temporal Adaptive Clustering for Heterogeneous Clients in Federated Learning. - Syed Saqib Ali; Ajit Kumar 001; Mazhar Ali; Ankit Kumar Singh; Bong Jun Choi 001 (ICOIN, 2024)

Global Model Privacy Protection Mechanism in Federated Learning. - Ajit Kumar 001; Bong Jun Choi 001 (ICOIN, 2024)