Auction-Based Mechanisms for Electronic Procurement. - Tallichetty S. Chandrashekar; Y. Narahari; Charles H. Rosa; Devadatta M. Kulkarni; Jeffrey D. Tew; Pankaj Dayama 001 (IEEE Trans Autom. Sci. Eng., 2007)

Design of Multiunit Electronic Exchanges Through Decomposition. - Pankaj Dayama 001; Yadati Narahari (IEEE Trans Autom. Sci. Eng., 2007)

Multi-strategy supplier selection for commodity sourcing. - Pankaj S. Dayama; Balaji Jidugu (CASE, 2009)

Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks. - Swaprava Nath; Pankaj Dayama 001; Dinesh Garg; Y. Narahari; James Y. Zou (AAAI, 2012)

Optimal incentive timing strategies for product marketing on social networks. - Pankaj Dayama 001; Aditya Karnik; Y. Narahari (AAMAS, 2012)

Mandi electronic exchange: Orchestrating Indian agricultural markets for maximizing social welfare. - Nukala Viswanadham; Sridhar Chidananda; Yadati Narahari; Pankaj Dayama 001 (CASE, 2012)

Optimal control of information epidemics. - Aditya Karnik; Pankaj Dayama 001 (COMSNETS, 2012)

Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing. - Swaprava Nath; Pankaj Dayama 001; Dinesh Garg; Yadati Narahari; James Y. Zou (WINE, 2012)

Optimal Mix of Incentive Strategies for Product Marketing on Social Networks - Pankaj Dayama 001; Aditya Karnik; Y. Narahari (CoRR, 2012)

Predicting the Dengue Incidence in Singapore using Univariate Time Series Models. - Pankaj Dayama 001; Kameshwaran Sampath (AMIA, 2013)

Dengue Disease Outbreak Detection. - Pankaj Dayama 001; Kameshwaran Sampath (MIE, 2014)

Predicting the Operations Alert Levels for Dengue Surveillance and Control. - Kameshwaran Sampath; Pankaj Dayama 001 (MIE, 2014)

Truthful Interval Cover Mechanisms for Crowdsourcing Applications. - Pankaj Dayama 001; Balakrishnan Narayanaswamy; Dinesh Garg; Y. Narahari (AAMAS, 2015)

Optimal scheduling of campaigns on on-line forums. - Aditya Karnik; Pankaj Dayama 001 (CASE, 2015)

Photonic Energy Harvesting: Boosting Energy Yield of Commodity Solar Photovoltaic Systems via Software Defined IoT Controls. - Nitin Singh; Pankaj Dayama 001; Sukanya Randhawa; Kalyan Dasgupta; Manikandan Padmanaban; Shivkumar Kalyanaraman; Jagabondhu Hazra (e-Energy, 2017)

Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. - Sai Koti Reddy Danda; Amrita Saha; Srikanth G. Tamilselvam; Priyanka Agrawal; Pankaj Dayama 001 (AAMAS, 2019)

Design of Trusted B2B Market Platforms using Permissioned Blockchains and Game Theory. - Shivika Narang; Megha Byali; Pankaj Dayama 001; Vinayaka Pandit; Y. Narahari (IEEE ICBC, 2019)

Computational Aspects of Equilibria in Discrete Preference Games. - Phani Raj Lolakapuri; Umang Bhaskar; Ramasuri Narayanam; Gyana R. Parija; Pankaj S. Dayama (IJCAI, 2019)

Enabling Privacy and Traceability in Supply Chains using Blockchain and Zero Knowledge Proofs. - Shubham Sahai; Nitin Singh; Pankaj Dayama 001 (Blockchain, 2020)

Spot collaborative shipping sans orchestrator using Blockchain. - Kameshwaran Sampath; Sai Koti Reddy Danda; Ken Kumar; Krishnasuri Narayanam; Pankaj Dayama 001; Suryanarayana Sankagiri (Blockchain, 2020)

Smart Contract Protocol for Authenticity and Compliance with Anonymity on Hyperledger Fabric. - Rishi Saket; Nitin Singh; Pankaj Dayama 001; Vinayaka Pandit (IEEE ICBC, 2020)

Partial Order Transactions on Permissioned Blockchains for enhanced Scalability. - Krishnasuri Narayanam; Akshar Kaul; Ken Kumar; Pankaj Dayama 001 (BRAINS, 2021)

Atomic Execution of Optimization Transactions on Permissioned Blockchains. - Krishnasuri Narayanam; Kameshwaran Sampath; Ken Kumar; Sai Koti Reddy Danda; Pankaj Dayama 001 (IEEE ICBC, 2021)

Zero Knowledge Proofs towards Verifiable Decentralized AI Pipelines. - Nitin Singh; Pankaj Dayama 001; Vinayaka Pandit (IACR Cryptol. ePrint Arch., 2021)

Inventory Pooling using Deep Reinforcement Learning. - Kameshwaran Sampath; Sandeep Nishad; Sai Koti Reddy Danda; Pankaj Dayama 001; Suryanarayana Sankagiri (SCC, 2022)

Accelerated carrier invoice factoring using predictive freight transport events. - Krishnasuri Narayanam; Pankaj Dayama 001; Sandeep Nishad (ICBC, 2022)

Change point detection for compositional multivariate data. - Prabuchandran K. J.; Nitin Singh; Pankaj Dayama 001; Ashutosh Agarwal; Vinayaka Pandit (Appl. Intell., 2022)

How to prove any NP statement jointly? Efficient Distributed-prover Zero-Knowledge Protocols. - Pankaj Dayama 001; Arpita Patra; Protik Paul; Nitin Singh; Dhinakaran Vinayagamurthy (Proc. Priv. Enhancing Technol., 2022)

Truthful and Equitable Lateral Transshipment in Multi-Retailer Systems. - Garima Shakya; Sai Koti Reddy Danda; Swaprava Nath; Pankaj Dayama 001; Surya Shravan Kumar Sajja (ECAI, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (CoRR, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (AAAI, 2024)

Poster: A Secure Multiparty Computation Platform for Squeaky-Clean Data Rooms. - Pankaj Dayama 001; Vinayaka Pandit; Sikhar Patranabis; Abhishek Singh; Nitin Singh (CCS, 2024)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Pankaj Dayama 001; Sumanta Mukherjee; Nam Nguyen; Wesley M. Gifford; Chandra Reddy; Jayant Kalagnanam (NeurIPS, 2024)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Nam H. Nguyen; Pankaj Dayama 001; Chandra Reddy; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2024)

Activations Through Extensions: A Framework To Boost Performance Of Neural Networks. - Chandramouli Kamanchi; Sumanta Mukherjee; Kameshwaran Sampath; Pankaj Dayama 001; Arindam Jati; Vijay Ekambaram; Dzung Phan (CoRR, 2024)

Towards Unbiased Evaluation of Time-series Anomaly Detector. - Debarpan Bhattacharya; Sumanta Mukherjee; Chandramouli Kamanchi; Vijay Ekambaram; Arindam Jati; Pankaj Dayama 001 (ICASSP, 2025)

TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis. - Vijay Ekambaram; Subodh Kumar; Arindam Jati; Sumanta Mukherjee; Tomoya Sakai; Pankaj Dayama 001; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2025)