| 2026 | AAAI | Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint). | Jatin Kumar Chaudhary, Dipak Kumar Nidhi, Jukka Heikkonen, Harri Merisaari, Rajeev Kumar Kanth |
| 2023 | FRUCT | Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. | Dipak Kumar Nidhi, Iiro Sepp, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth |
| 2022 | FRUCT | Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. | Manoj Joshi, Dibakar Raj Pant, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth |
| 2022 | FRUCT | Automated Testing and Resilience of Microservice's Network-link using Istio Service Mesh. | Rupesh Raj Karn, Rammi Das, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth |
| 2019 | SGAI | Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks. | Jatin Kumar Chaudhary, Jiaqing Liu, Jukka-Pekka Skon, Yen-Wei Chen, Rajeev Kumar Kanth, Jukka Heikkonen |
| 2011 | DASC | Evaluating Sustainability, Environmental Assessment and Toxic Emissions during Manufacturing Process of RFID Based Systems. | Rajeev Kumar Kanth, Pasi Liljeberg, Hannu Tenhunen, Qiansu Wan, Yasar Amin, Botao Shao, Qiang Chen, Li-Rong Zheng, Harish Kumar |