Publications - BITS Pilani

Prof. Manik Gupta

Associate Professor,
Dept. of Computer Science and Information Systems

Birla Institute of Technology & Science, Pilani
Hyderabad Campus
Jawahar Nagar, Kapra Mandal
Dist.-Medchal-500 078
Telangana, India

manik@hyderabad.bits-pilani.ac.in

+91 40 66303722

https://www.linkedin.com/in/manikgupta79/

Recent Publications

Journals

Gupta, Priyanka, Manik Gupta, and Vijay Kumar. "An active learning enhanced data programming (ActDP) framework for ECG time series." Machine Learning: Science and Technology 5, no. 3 (2024): 035016.
Chillara, Anil Kumar, Paresh Saxena, Rajib Ranjan Maiti, Manik Gupta, Raghu Kondapalli, Zhichao Zhang, and Krishnakumar Kesavan. "Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards." International Journal of Information Security 23, no. 3 (2024): 2043-2061.
Mandan, Naresh, Paresh Saxena, and Manik Gupta. "DRL Empowered On-policy and Off-policy ABR for 5G Mobile Ultra-HD Video Delivery." Mobile Networks and Applications (2024): 1-14.
Bhushan, Ravi, Soumil Hooda, Hiten Vidhani, Manik Gupta, Lavanya Suresh, and Timothy Clune. "Supervised Model for Peri-Urban Area Demarcation in Hyderabad, India." IEEE Geoscience and Remote Sensing Letters (2024).
Gupta, P., Nandakumar, S., Gupta, M., & Panda, G. (2024). Data programming enabled weak supervised labeling for ECG time series. Biomedical Signal Processing and Control, 87, 105540.
Hooda, S., Gupta, M., Singh, R., & Ojha, S. P. (2023). Retrieval of Atmospheric Water Vapor Profiles From COSMIC-2 Radio Occultation Constellation Using Machine Learning. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-7.
Fatima, N., Saxena, P., & Gupta, M. (2022). Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions. Physical Communication, 52, 101641. https://doi.org/10.1016/j.phycom.2022.101641 IF 2.32
Naresh, M., Das, V., Saxena, P. and M. Gupta, Deep reinforcement learning based QoE-aware actor-learner architectures for video streaming in IoT environments. Computing (2022).
Nelekar, S., Abdulrahman, A., Gupta, M., & Richards, D. (2021). Effectiveness of embodied conversational agents for managing academic stress at an Indian University (ARU) during COVID- 19. British Journal of Educational Technology, 00, 1– 21.
Omidvarborna, H., Kumar, P., Hayward, J., Gupta, M. and Nascimento, E.G.S., 2021. Low-Cost Air Quality Sensing towards Smart Homes. Atmosphere, 12(4), p.453.
Gupta, M.; Phillips, N. Knowledge Discovery Using Topological Analysis for Building Sensor Data. Sensors 2020, 20, 4914.

Conferences

Gupta, Priyanka, Arunachala Amuda Murugan, Deep Chordia, Pavan Kumar Reddy Yannam, and Manik Gupta. "A Comparative Study of Few-Shot Learning Methods for 1-D ECG Time-series Classification." In 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), pp. 604-611. IEEE, 2024.
Naresh, Mandan, Paresh Saxena, and Manik Gupta. "GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming." In 2024 International Conference on Information Networking (ICOIN), pp. 114-119. IEEE, 2024.
Naresh, Mandan, Paresh Saxena, and Manik Gupta. "PPO-ABR: Proximal policy optimization based deep reinforcement learning for adaptive bitrate streaming." In 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 199-204. IEEE, 2023.
Hooda, Soumil., Bhushan, Ravi., Vidhani, Hiten., Gupta, Manik., Suresh, Lavanya., Clune, Timothy. “Data-driven remote sensing approach for Peri-urban demarcation of Hyderabad city, India” Poster presentation in ACM COMPASS 2023.
Mandan Naresh, Paresh Saxena, Manik Gupta ”Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Edge-Driven Video Delivery Services”, accepted in IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) 2023, Boston, Massachusetts, USA.
Choudhury, N., Gupta, M., Nasralla, M. M., & Fujita, S. (2023, June). Extended Adaptive Data-Rate (X-ADR) Technique for Optimal Resource Allocation in Smart City Applications. In 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (pp. 445-450). IEEE.
S. Bhaskarpandit, P. Gupta and M. Gupta, LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning. IJCAI AI4TS 2022
M. Naresh, N. Gireesh, P. Saxena and M. Gupta, "SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming," 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, pp. 353-361, doi: 10.1109/COMSNETS53615.2022.9668424.
P. K. R. Yannam, V. Venkatesh and M. Gupta, "Research Study and System Design for Evaluating Student Stress in Indian Academic Setting," 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, pp. 54-59, doi: 10.1109/COMSNETS53615.2022.9668379.
P. Gupta, S. Bhaskarpandit and M. Gupta, "Similarity Learning based Few Shot Learning for ECG Time Series Classification," 2021 Digital Image Computing: Techniques and Applications (DICTA), 2021, pp. 1-8, doi: 10.1109/DICTA52665.2021.9647357.
Singh, D., Singh, R., Ajmeria, R., Gupta, M. and Ponnalagu, R.N., 2021, October. DAWSSM: A plug-and-play Drone Assisted Water Sampling and Sensing Module. In IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE. (pp. 7-12).
Musthyala, R., Arawkar, S. and Gupta, M., 2021, June. Anomaly Identification using Multimodal Physiological Signals on the Edge. In Proceedings of the 2nd Workshop on Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing (pp. 7-12).
P. Saxena, M. Naresh, M. Gupta, A. Achanta, S. Kota and S. Gupta, "Nancy: Neural Adaptive Network Coding Methodology for Video Distribution Over Wireless Networks," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020.
M. Gupta, "Poster Abstract: Topological Analysis for Knowledge Discovery from Building Sensor Data," 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI), Sydney, Australia, 2020
Choras, M., Pawlicki, M., Kozik, R., Demestichas, K., Kosmides, P., & Gupta, M. (2019, August). Socialtruth project approach to online disinformation (fake news) detection and mitigation. In Proceedings of the 14th International Conference on Availability, Reliability and Security (pp. 1-10).
M. Dey, M. Gupta et al. “A PID Inspired Feature Extraction Method for HVAC Terminal Units” in IEEE Conference on Technologies for Sustainability (SusTech), 2017
M. Dey, M. Gupta et al. “Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis” in IEEE Smart City Innovations (SCI), 2017
M.Gupta et al. “A comparison between smartphone sensors and bespoke sensor devices for wheelchair accessibility studies” in IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP),2015.
M.Gupta et al. "Can the smartphone sensors be used for wheelchair accessibility studies?" in Recent Advances in Assistive Technology & Engineering (RAatE), 2014.
S.E.Zaman, M.Gupta et al. "An Eigen decomposition based adaptive spatial sampling technique for wireless sensor networks” in IEEE 39th Conference on Local Computer Networks (LCN), 2014.
L.V.Shum, M.Gupta et al. “Bi-scale temporal sampling strategy for traffic-induced pollution data with Wireless Sensor Networks” in IEEE 39th Conference on Local Computer Networks (LCN), 2014.
L.V.Shum, M.Gupta et al. “Bias Adjustment of Spatially-distributed Wireless Pollution Sensors for Environmental studies in India” in IEEE 10th international conference on Sensing, Communication and Networking (SECON), 2013.
M.Gupta, E. Bodanese, L.V.Shum, and S.Hailes, "Exploiting nonlinear data similarities-a multi-scale nearest neighbour approach for adaptive sampling in wireless pollution sensor networks," in Proceedings of the 12th international conference on Information Processing in Sensor Networks (IPSN Poster), 2013.
L.V.Shum, M.Gupta, and P.Rajalakshmi, "Data Analysis on the High-Frequency Pollution Data Collected in India," arXiv preprint, 2013.
M.Gupta, L.V.Shum, E.Bodanese, and S.Hailes, "Design and Evaluation of an Adaptive Sampling strategy for a wireless air pollution sensor network," in IEEE 36th Conference on Local Computer Networks (LCN), 2011.

Patents

Indian Patent Application no: 202311046855, Filed on: 12-07-2023, Title: ARU - Real Time Multimodal Stress Prediction Framework, Inventors: Dr. Manik Gupta, Mr. Pavan Kumar Reddy Yannam

Book Chapters

Sivaramakrishnan K.N., Deka L., Gupta M. (2021) Use of Remote Sensing Data to Identify Air Pollution Signatures in India. In: Singh T.P., Singh D., Singh R.B. (eds) Geo-intelligence for Sustainable Development. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-4768-0_8

Integrated first degree

Higher Degree

Doctoral Programmes

Student Services

Student Activities

Integrated First Degree

Higher Degree

Doctoral Programmes

WILP

Dubai Campus

Give us your feedback

Upload Screenshot

Prof. Manik Gupta

Recent Publications

Keep Exploring

Cookie Consent