Akshi (IMT2016025) and Madhav Rao, “Decoding Imagined Speech Using Wearable EEG Headset For a Single Subject,” in proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 2622-2627, held during September 29 – October 1, 2021.
Shyam Murthy (PH2018015), Srinivas Vivek and Deepak Kumaraswamy (NITK Surathkal), “Revisiting Driver Anonymity in ORide,” in proceedings of Selected Areas in Cryptography (SAC 2021) conference, held remotely during September 29-October 1, 2021 which was hosted by International Association for Cryptologic Research (IACR), California.
Ankita Christine Victor (IMT2014005) and Jaya Sreevalsan-Nair, “Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes,” in proceedings of International Symposium on Visual Computing (ISVC 2021), Part II, Lecture Notes in Computer Science LNCS 13018, Bebis, George et al., Ed., Springer Nature Switzerland AG, 2021, pp. 1-14.
Jaya Sreevalsan-Nair, Komal Dadhich (MS2018007), and Daggubati Sirichandana (MS2019005) “Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots,” in Topological Methods in Data Analysis and Visualization VI, I. Hotz, T. Bin Masood, F. Sadlo, and J. Tierny, Eds., Springer, Cham, 2021.
K J N S Bhargav (MT2019513), Sairam Pallisetti (MT2019517) and Madhav Rao, “A newton raphson method based approximate divider design for color quantization application” in 2021 proceedings of 18th International SoC Design Conference (ISOCC) in Jeju, Korea held during October 6-9, 2021.
Ajay B S (MS2018022) and Madhav Rao, “Design of emotion recognition system using neuromorphic computing technique” in proceedings of 18th International SoC Design Conference (ISOCC), in Jeju, Korea during October 6-9, 2021.
Vishal Gattani (IMT2015508) and Madhav Rao, “An integrated system design interface for operating 8-DoF robotic arm” in the proceedings of 21st International Conference on Control, Automation and Systems Conference in Jeju, Korea which was held virtually during October 12-15, 2021 http://2021.iccas.org/
J Siva Ramakrishna (MINRO RA), Neelam Sinha, Hariharan Ramasangu (Relecura), “Classification of Human Emotions using EEG-based Causal Connectivity Patterns”, in Proceedings of IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), conducted at Melbourne, Australia, during October 13-15, 2021. Dr. Hariharan Ramasangu is a collaborator at Relecura Technologies, Bangalore.
Tirthankar Banerjee [MS2020016], Dhanya Eledath [PH2018022] and V Ramasubramanian, “Few shot learning for cross-lingual isolated word recognition,” in proceedings of 1st International Conference on AI-ML-Systems, held during October 23-25, hosted by Communication Systems and Networks (COMSNETS), Bangalore.
Jaya Sreevalsan-Nair, Pragyan Mohapatra (MS2018009) and Satendra Singh (MS2017004), “IMGD: Image-based Multiscale Global Descriptors of Airborne LIDAR Point Clouds Used for Comparative Analysis,” in Smart Tools and Apps for Graphics (STAG 2021) – Eurographics Italian Chapter Conference, P. Frosini, D. Giorgi, S. Melzi, and E. RodolÃ, Eds., The Eurographics Association, 2021, pp. 61-72, ISBN: 978-3-03868-165-6.
Ritu Lahoti (MS2019014), Sunil Kumar Vengalil (PH2014010), Punith B Venkategowda (PH2020012), Neelam Sinha, Vinod Veera Reddy, “Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network”, in proceedings of IEEE Engineering in Medicine and Biology Society – 43rd Annual International Conference, EMBC 2021, Guadalajara, Mexico, October 31-November 4, 2021.
Chakka Sai Pradeep (PH2018014), Neelam Sinha, “Spatio-Temporal features based Surgical Phase Classification using CNN,” in proceedings of IEEE Engineering in Medicine and Biology Society – 43rd Annual International Conference, EMBC 2021, Guadalajara, Mexico, October 31-November 4, 2021.
Vandana M. Ladwani (PH2015013) and Prof. V. Ramasubramanian, “Harnessing Energy of M-ary Hopfield Neural Network for Connectionist Temporal Sequence Decoding”, in proceedings of 8th International Conference on Mining Intelligence & Knowledge Exploration (MIKE 2021), Hammamet, Tunisia, held during November 1-3, 2021.
Ronak Doshi (IMT2017523), Arvind R (IMT2017519), Krishna Nagaraj (IMT2015 ECE), Madhav Rao, Vikas Vazhayil (PH2016014) and Chandana Nagaraj both from NIMHANS, “EEG Driven Autonomous Injection System For An Epileptic Neuroimaging Application” at 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
pp. 1480-1486, doi: 10.1109/EMBC46164.2021.9629573
Ajay Ramesh (IIITB), Viprav B Raju (University of Alabama), Madhav Rao (IIITB), and Edward Sazonov (University of Alabama), “Food Detection and Segmentation from Egocentric Camera Images,” in proceedings of 43rd Annual International Conference of IEEE Engineering in Medicine & Biology Society (EMBC)., doi: 10.1109/EMBC46164.2021.9630823 pp. 2736-2740
Reddy Rani Vangimalla (PH2016009) and Jaya Sreevalsan-Nair, “HCNM: Heterogeneous Correlation Network Model for Multi-Level Integrative Study of Multi-omics Data for Cancer Subtype Prediction,” in proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (accepted and presented during November 1-5), IEEE, 2021.
Ragesh Thangavel (DT2020016) and Jaya Sreevalsan-Nair, “CV4FEE: Flood Extent Estimation Using Consensus Voting in Ensemble of Methods for Change Detection in Sentinel-1 GRD SAR Images,” in proceedings of 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR 2021), hosted by Institution of Geospatial and Remote Sensing Malaysia – IGRSM, held during November 1-3.
V Sridhar, (2022) “Data Centric Living: Algorithms, Digitization and Regulation”, edited volume, Routledge India.
V Sridhar and Janaki Srinivasan. (2021). “Data Centric Living: An Introduction, in V. Sridhar (Edited) Data Centric Living: Algorithms, Digitization and Regulation. Routledge.
DOI: 10.4324/9781003093442. 1-14.
Arvind Upreti (PH2016011) and V. Sridhar. (2021), “Artificial Intelligence and its Effect on Employment and Skilling” in V. Sridhar (Ed.) Data Centric Living: Algorithms, Digitization and Regulation, Routledge.
DOI: 10.4324/9781003093442. 31-55.
V Sridhar, Jaya Sreevalsan Nair, Pritesh Rajesh Ghogale (MT2018086), and Reddy Rani Vangimalla (PH2016009), (2021), “Sharing and Use of Non-Personal Health Information: Case of the COVID-19 Pandemic”, in V. Sridhar (Edited) Data Centric Living: Algorithms, Digitization and Regulation, Routledge DOI: 10.4324/9781003093442. 133-166.
V Sridhar, Deepti Balaji Raykar (PH2013005), and T. K. Srikanth, (2021), “Evaluation of Privacy Policies of Digital Firms”, in V Sridhar (Edited) Data Centric Living: Algorithms, Digitization and Regulation, Routledge.
DOI: 10.4324/9781003093442. 169-201.
Deepti Balaji Raykar (PH2013005), V Sridhar, and T K Srikanth, (2021), “Incorporating Regulatory Requirements in building Software”, in V Sridhar (Edited) Data Centric Living: Algorithms, Digitization and Regulation, Routledge.
DOI: 10.4324/9781003093442. 202-222.
V Sridhar, Sai Rakshith Potluri (IMT2015032) Shrisha Rao, (2021), “Data Localization and its effects on Cross-Border Digital Trade”, in V Sridhar (Edited) Data Centric Living: Algorithms, Digitization and Regulation, Routledge.
DOI: 10.4324/9781003093442. 262-282.
Prakhar Mishra (MS2019012), Chaitali Diwan (PH2016002), Srinath Srinivasa and G.Srinivasaraghavan, “Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models”, in International Journal of Semantic Computing (IJSC), Volume No. 15, Issue No. 04, pp. 487- 510, 2021.
Srinivas Vivek and Deepak Kumaraswamy (NITK Surathkal), “Cryptanalysis of the Privacy-Preserving Ride-Hailing Service TRACE,” in the proceedings of 22nd International Conference on Cryptology (Indocrypt 2021) hosted by The LNM Institute of Information Technology Jaipur during December 12-15, 2021.
Srinivas Vivek, “Attacks on a Privacy-Preserving Publish-Subscribe System and a Ride-Hailing Service,” in proceedings of IMA Conference on Cryptography and Coding (IMACC 2021), Oxford, UK held during December 16-18.
Chakka Sai Pradeep (PH2018014), Neelam Sinha, “Multi-Stage Transfer Learning Based Yoga Pose Recognition using CNN,” in proceedings of Pattern Recognition and Machine Intelligence – 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021. Lecture Notes in Computer Science.
Sunil Kumar Vengalil (PH2014010), Neelam Sinha, “Semi-supervised Learning using Variational Autoencoder – A Cluster based Approach.” in proceedings of Pattern Recognition and Machine Intelligence (PReMI) 2021, Kolkata, India, December 15-18, 2021. Lecture Notes in Computer Science.
Sunil Kumar Vengalil (PH2014010), Kevin Xavier(RazorThink), Konda Amit Sai (IMT2018037), Sree Harsha (IMT2018512), Ganesh Barma (IMT2018024), and Neelam Sinha, “A Hybrid Approach for Table Detection in Document Images”, 5th Workshop on Document Analysis and Recognition In Conjunction with ICVGIP, December 19 2021. Mr. Kevin Xavier is a collaborator at RazorThink, Bangalore.
Ammu R (PH2018003), Rajikha Raja (University of Arkansas), Neelam Sinha and Jitender Saini (NIMHANS), “Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI” in Proceedings of the 12th Indian Conference on Computer Vision, Graphics and Image Processing, held at IIT-Jodhpur, December 19-21, 2021. Dr. Rajikha Raja is a collaborator at University of Arkansas for Medical Sciences.