| 2026 | COMSNETS | Privacy-Preserving Energy Anomaly Detection using Federated Deep Autoencoders. | Bhanu Kumar, Naman Srivastava, Priyanka Nihalchandani, Pandarasamy Arjunan |
| 2026 | COMSNETS | Learning-Based Optimization of EV Routing with V2G Integration and On-the-Go Energy Harvesting. | Risshab Srinivas Ramesh, Prasant Misra, Pandarasamy Arjunan |
| 2023 | COMAD | Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. | Petchiammal A, Briskline Kiruba S, D. Murugan, Pandarasamy Arjunan |
| 2023 | SENSYS | Explainable Occupancy Prediction Using QLattice. | Ajith N. Nair, Harshwardhan Tanwar, Pandarasamy Arjunan, Prashant Anand, Ardeshir Mahdavi |
| 2023 | SENSYS | Explainable AI for Energy Prediction and Anomaly Detection in Smart Energy Buildings. | Hardik Prabhu, Jayaraman K. Valadi, Pandarasamy Arjunan |
| 2022 | SENSYS | Causal 1-D convolutional neural networks based chiller fault detection and diagnosis. | Pandarasamy Arjunan, Seshadhri Srinivasan, Kameshwar Poolla |
| 2022 | SENSYS | Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. | Chun Fu, Pandarasamy Arjunan, Clayton Miller |
| 2022 | SENSYS | FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. | Milan Jain, Pandarasamy Arjunan |
| 2022 | SENSYS | XENIA: eXplainable ENergy informatics and attributes for building energy benchmarking. | Kevin Joshi, Arnab Jana, Pandarasamy Arjunan, Krithi Ramamritham |
| 2022 | SENSYS | BenchSys 2022: the first ACM SIGEnergy workshop on advancements in building energy benchmarking systems. | Balaji Kalluri, Jay Dhariwal, Pandarasamy Arjunan, Prashant Anand, Chirag Deb |
| 2022 | SENSYS | The way forward for building energy benchmarking in India. | Balaji Kalluri, Jay Dhariwal, Pandarasamy Arjunan, Prashant Anand, Chirag Deb |
| 2022 | SENSYS | eptk: energy prediction toolkit. | Hardik Prabhu, Pandarasamy Arjunan |
| 2021 | SENSYS | Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. | Pandarasamy Arjunan, Gregory Dobler, Kyungmin Lee, Clayton Miller, Filip Biljecki, Kameshwar Poolla |
| 2021 | SENSYS | FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. | Milan Jain, Pandarasamy Arjunan |
| 2015 | SENSYS | Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information. | Pandarasamy Arjunan, Harshad D. Khadilkar, Tanuja Ganu, Zainul M. Charbiwala, Amarjeet Singh, Pushpendra Singh |
| 2015 | UIC | SensorAct: A Decentralized and Scriptable Middleware for Smart Energy Buildings. | Pandarasamy Arjunan, Manaswi Saha, Haksoo Choi, Manoj Gulati, Amarjeet Singh, Pushpendra Singh, Mani B. Srivastava |
| 2012 | COMSNETS | Fine-grained resource (electricity) management in buildings. | Pandarasamy Arjunan |
| 2012 | SENSYS | SensorAct: a privacy and security aware federated middleware for building management. | Pandarasamy Arjunan, Nipun Batra, Haksoo Choi, Amarjeet Singh, Pushpendra Singh, Mani B. Srivastava |