A fully-electronic charge-based DNA sequencing CMOS biochip. - Arun Manickam; Rituraj Singh; Nicholas Wood; Bingling Li; Andrew D. Ellington; Arjang Hassibi (VLSIC, 2012)

CMOS biochips for hypothesis-driven DNA analysis. - Rituraj Singh; Arun Manickam; Arjang Hassibi (BioCAS, 2014)

Demo: IAS: Information Analytics for Sensors. - Soma Bandyopadhyay; Arijit Ukil; Chetanya Puri; Arpan Pal 001; Rituraj Singh; Tulika Bose (SenSys, 2015)

Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection. - Chetanya Puri; Arijit Ukil; Soma Bandyopadhyay; Rituraj Singh; Arpan Pal 001; Ayan Mukherjee; Debayan Mukherjee (CinC, 2016)

CardioFit: Affordable Cardiac Healthcare Analytics for Clinical Utility Enhancement. - Arijit Ukil; Soma Bandyopadhyay; Chetanya Puri; Rituraj Singh; Arpan Pal 001; K. M. Mandana (eHealth 360°, 2016)

An unsupervised learning for robust cardiac feature derivation from PPG signals. - Soma Bandyopadhyay; Arijit Ukil; Chetanya Puri; Rituraj Singh; Arpan Pal 001; K. M. Mandana; C. A. Murthy (EMBC, 2016)

Efficient user assignment in crowd sourcing applications. - Akash Yadav; Ashok Singh Sairam; Rituraj Singh (ICACCI, 2016)

SensIPro: Smart sensor analytics for Internet of things. - Soma Bandyopadhyay; Arijit Ukil; Chetanya Puri; Rituraj Singh; Tulika Bose; Arpan Pal 001 (ISCC, 2016)

iCarMa: Inexpensive Cardiac Arrhythmia Management - An IoT Healthcare Analytics Solution. - Chetanya Puri; Arijit Ukil; Soma Bandyopadhyay; Rituraj Singh; Arpan Pal 001; Kayapanda M. Mandana (IoTofHealth@MobiSys, 2016)

3S: Sensing Sensor Signal: Demo Abstract. - Soma Bandyopadhyay; Arijit Ukil; Rituraj Singh; Chetanya Puri; Arpan Pal 001; C. A. Murthy (SenSys, 2016)

Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier. - Shreyasi Datta; Chetanya Puri; Ayan Mukherjee; Rohan Banerjee; Anirban Dutta Choudhury; Rituraj Singh; Arijit Ukil; Soma Bandyopadhyay; Arpan Pal 001; Sundeep Khandelwal (CinC, 2017)

Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner. - Chetanya Puri; Rituraj Singh; Soma Bandyopadhyay; Arijit Ukil; Ayan Mukherjee (EMBC, 2017)

Heartmate: automated integrated anomaly analysis for effective remote cardiac health management. - Arijit Ukil; Soma Bandyopadhyay; Chetanya Puri; Rituraj Singh; Arpan Pal 001; Ayan Mukherjee (ICASSP, 2017)

4.2 A fully integrated CMOS fluorescence biochip for multiplex polymerase chain-reaction (PCR) processes. - Arjang Hassibi; Rituraj Singh; Arun Manickam; Ruma Sinha; Bob Kuimelis; Sara Bolouki; Pejman Naraghi-Arani; Kirsten A. Johnson; Mark W. McDermott; Nicholas Wood; Piyush Savalia; Nader Gamini (ISSCC, 2017)

A Fully Integrated CMOS Fluorescence Biochip for DNA and RNA Testing. - Arun Manickam; Rituraj Singh; Mark W. McDermott; Nicholas Wood; Sara Bolouki; Pejman Naraghi-Arani; Kirsten A. Johnson; Robert G. Kuimelis; Gary K. Schoolnik; Arjang Hassibi (IEEE J. Solid State Circuits, 2017)

Pattern Analysis in Physiological Pulsatile Signals: An Aid to Personalized Healthcare. - Soma Bandyopadhyay; Arijit Ukil; Chetanya Puri; Rituraj Singh; Arpan Pal 001; C. A. Murthy (EMBC, 2018)

Effective Noise Removal and Unified Model of Hybrid Feature Space Optimization for Automated Cardiac Anomaly Detection Using Phonocardiogarm Signals. - Arijit Ukil; Soma Bandyopadhyay; Chetanya Puri; Rituraj Singh; Arpan Pal 001 (ICASSP, 2018)

AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier. - Arijit Ukil; Ishan Sahu; Chetanya Puri; Ayan Mukherjee; Rituraj Singh; Soma Bandyopadhyay; Arpan Pal 001 (IJCNN, 2018)

A CMOS Biosensor Array with 1024 3-Electrode Voltammetry Pixels and 93dB Dynamic Range. - Arun Manickam; Kae-Dyi You; Nicholas Wood; Lei Pei; Yang Liu; Rituraj Singh; Nader Gamini; Davood Shahrjerdi; Robert G. Kuimelis; Arjang Hassibi (ISSCC, 2019)

A CMOS Electrochemical Biochip With 32 × 32 Three-Electrode Voltammetry Pixels. - Arun Manickam; Kae-Dyi You; Nicholas Wood; Lei Pei; Yang Liu; Rituraj Singh; Nader Gamini; Mark W. McDermott; Davood Shahrjerdi; Robert G. Kuimelis; Arjang Hassibi (IEEE J. Solid State Circuits, 2019)

Data Centric Workflows for Crowdsourcing. - Pierre Bourhis; Loïc Hélouët; Zoltán Miklós 001; Rituraj Singh (Petri Nets, 2020)

Cost and Quality in Crowdsourcing Workflows. - Loïc Hélouët; Zoltán Miklós 001; Rituraj Singh (Petri Nets, 2021)

A 21pJ/frame/pixel Imager and 34pJ/frame/pixel Image Processor for a Low-Vision Augmented-Reality Smart Contact Lens. - Rituraj Singh; Stevo Bailey; Phillip Chang; Ashkan Olyaei; Mohammad Hekmat; Renaldi Winoto (ISSCC, 2021)

Multiplex PCR CMOS Biochip for Detection of Upper Respiratory Pathogens including SARS-CoV-2. - Arun Manickam; Kirsten A. Johnson; Rituraj Singh; Nicholas Wood; Edmond Ku; Andrea Cuppoletti; Mark McDermott; Arjang Hassibi (VLSI Circuits, 2021)

Reducing the Cost of Aggregation in Crowdsourcing. - Rituraj Singh; Loïc Hélouët; Zoltán Miklós 001 (Trans. Large Scale Data Knowl. Centered Syst., 2021)

Data Centric Workflows for Crowdsourcing Application. (Workflows centrés sur les données pour l'application Crowdsourcing). - Rituraj Singh (2021)

Constructing A Dataset of Support and Attack Relations in Legal Arguments in Court Judgements using Linguistic Rules. - Basit Ali; Sachin Pawar; Girish K. Palshikar; Rituraj Singh (LREC, 2022)

MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection. - Anikeit Sethi; Krishanu Saini; Rituraj Singh; Aruna Tiwari; Sumeet Saurav; Sanjay Singh 001; Vikas Chauhan (CVIP (3), 2023)

NLMs: Augmenting Negation in Language Models. - Rituraj Singh; Rahul Kumar; Vivek Sridhar (EMNLP (Findings), 2023)

Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining. - Anikeit Sethi; Krishanu Saini; Rituraj Singh; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001; Vikas Chauhan (SSCI, 2023)

STemGAN: spatio-temporal generative adversarial network for video anomaly detection. - Rituraj Singh; Krishanu Saini; Anikeit Sethi; Aruna Tiwari; Sumeet Saurav; Sanjay Singh 001 (Appl. Intell., 2023)

KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. - Debjyoti Mondal; Suraj Modi; Subhadarshi Panda; Rituraj Singh; Godawari Sudhakar Rao (AAAI, 2024)

HEADWORK: a Data-centric Crowdsourcing Platform for Complex Tasks and Participants. - David Gross-Amblard; Marion Tommasi; Iandry Rakotoniaina; Constance Thierry; Rituraj Singh; Leo Jacoboni (EDBT, 2024)

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Eng. Appl. Artif. Intell., 2024)

CVAD-GAN: Constrained video anomaly detection via generative adversarial network. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Image Vis. Comput., 2024)

VALD-GAN: video anomaly detection using latent discriminator augmented GAN. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Signal Image Video Process., 2024)

From Perception to Reasoning: Enhancing Vision-Language Models for Mobile UI Understanding. - Settaluri Lakshmi Sravanthi; Ankit Mishra; Debjyoti Mondal; Subhadarshi Panda; Rituraj Singh; Pushpak Bhattacharyya (ACL (Findings), 2025)

Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge. - Rituraj Singh; Sachin Pawar; Girish Keshav Palshikar (CoRR, 2025)

Agri-food Supply Chain Management: A Review Using Bibliometric, Network, and Content Analyses. - Rituraj Singh; Gourav Dwivedi (Oper. Res. Forum, 2025)