Kallol Roy is currently working as an Assistant Professor at Institute of Computer
Science, University of Tartu, Estonia. His research interests are Deep Learning, and Large Language
Models.
I work on Large Language Models (ChatGPT) to solve contemporary problems in different research areas.
| Deep Learning |
| Large Language Models |
| Self-Supervised Learning |
| Non-Convex Optimization |
| Data Structures |
| Dec 2019 - Now | Assistant Professor of Artificial Intelligence University of Tartu, Estonia |
| Mar 2018 - Oct 2019 | Postdoctoral Researcher Georgia Institute of Technology, Atlanta, USA |
| Aug 2015 - Dec 2017 | Postdoctoral Researcher Ulsan National Institute of Science and Technology, South Korea |
| Apr 2014 - Jul 2015 | Postdoctoral Researcher Indian Institute of Science, Bangalore, India |
| Oct 2013 - Mar 2014 | Visiting Researcher Poonaprajna Institute of Scientific Research, Bangalore, India |
| Oct 2012 - Dec 2012 | Visiting Researcher Indiana University - Purdue University, Indianapolis, USA |
| Jan 2012 - Jul 2012 | Visiting Researcher Indian Association for Cultivation of Science (IACS), Kolkata, India |
| May 2006 - Jul 2006 | Visiting Researcher SN Bose National Center for Basic Science, Kolkata, India |
| Jan 2005 - Jul 2005 | Postdoctoral Researcher Indian Institute of Technology, Kanpur, India |
| Jun 2014 | Ph.D. Electrical Communication Engineering Indian Institute of Science (IISc), Bangalore, India |
| May 2005 | B.Tech. Electrical Engineering Indian Institute of Technology (IIT K), Kanpur, India |
| Spring 2023 | LTAT.02.025 | Computational Imaging |
| Spring 2021, 2022, 2023 | LTAT.02.001 | Neural Networks |
| Spring 2021 | MTAT.03.317 | Special Course in Machine Learning: Neural Network Training Dynamics |
| Fall 2020, 2021, 2022 | MTAT.03.238 | Algorithmics |
Modar SulaimanPhD Student September 2020 - Present Thesis Title: Artificial intelligence bias to predict future criminals University of Tartu, Estonia |
Nesma Talaat Abbas MahmoudPh.D. Student September 2022 - Present Co-supervisor: Osamu Shimmi Thesis Title: Explainable Artificial Intelligence System from Microscopy Images for Cancer Mutation University of Tartu, Estonia |
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Grete Küppas Ph.D. Student (Industrial) February 2023 - Present Thesis Title: Artificial Intelligence for Muon Tomography University of Tartu, Estonia |
Wai Tik ChanM.Sc. Student September 2022 - Present Thesis Title: Interpretable Machine Learning building Representation Space of Neurons University of Tartu, Estonia |
Ritudisha BiswasM.Sc. Student September 2022 - Present Thesis Title: Empathetic Chatbots for Healthcare Services University of Tartu, Estonia |
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Kirill Rodionov M.Sc. Student February 2023 - Present Thesis Title: Robot Navigation by Following Natural Language Directions University of Tartu, Estonia |
Ashraf AbbasovM.Sc. Student September 2022 - Present Thesis Title: Image Segmentation with YOLO for Precision Agriculture Applications University of Tartu, Estonia |
Prakhar SrivastavaM.Sc. Student September 2022 - March 2023 Thesis Title: Lensless Camera for Imaging University of Tartu, Estonia |
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Kristiine Saarmann M.Sc. Student January 2022 - June 2022 Thesis Title: Exploration vs Exploitation of Chess Openings Learner with Metropolis-Hastings Algorithm University of Tartu, Estonia |
John-William MukoseM.Sc. Student (Industrial) September 2021 - June 2022 Thesis Title: Machine Learning for Predicting Electricity Consumption University of Tartu, Estonia |
Jose Rodrigo Flores EspinosaM.Sc. Student September 2021 - June 2022 Thesis Title: Classification of Human Y Chromosome Haplogroups Based on Dense and Sparse Genetic Data Using Machine Learning Approaches University of Tartu, Estonia |
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Alka Patel M.Tech. Graduate Student, 2017, (External Supervisor) February 2016 - July 2017 Thesis Title: Bayesian Machine Learning for Cyber Security School of Electronics (Mobile Computing Technology) Devi Ahilya Vishwavidyalaya, Indore, India |
| Artificial Intelligence to Predict Future Criminals |
| Deep Learning for Symbolic Mathematics |
| Machine Learning for Circuits Design |
| Machine Learning for Early Detection of Parkinsons Disease |
| 2012 | APS-IUSSTF Physics Student Visitation Award |
| 2012 | Microsoft Travel Award |
| 2010 | Sterlite Best Paper Award at Photonics 2010, IIT Guwahati |
| 2007 | MHRD Scholarship, Government of India |
| 2000 | Jawaharlal Nehru Scholarship, Steel Authority of India Limited |
| 2018 − 2019 | Program Coordinator, Center for Advanced Electronics through Machine Learning CAEML, UIUC, School of Electrical and Computer Engineering Georgia Institute of Technology, USA |
| 2018 − 2019 | Program Coordinator, Common Heterogeneous Integration and IP Reuse Strategies CHIPS, DARPA Georgia Institute of Technology, USA |
| 2015 − 2017 | Research Coordinator, Statistical Artificial Intelligence Lab (SAIL) School of Electrical and Computer Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan, South Korea |
| 2009 − 2012 | Program Coordinator, Center for Advanced Electronics through Machine Learning CAEML, UIUC, School of Electrical and Computer Engineering Georgia Institute of Technology, USA |
| Schierholz, Morten; Sanchez-Masis, Allan; Carmona-Cruz, Allan; Duan, Xiaomin; Roy, Kallol; Yang, Cheng; Rimolo-Donadio, Renato; Schuster, Christian (2021). SI/PI-Database of PCB-Based Interconnects for Machine Learning Applications [Masinõpperakenduste PCB-põhiste ühenduste SI / PI-andmebaasv]. IEEE Access, 9, 34423−34432. DOI: 10.1109/ACCESS.2021.3061788. |
| R Trinchero, M Ahadi Dolatsara, Kallol Roy, M Swaminathan, FG Canavero (2021). Inverse Modeling for the Design of High-Speed Digital Links via LS-SVM Regression,. 5th Workshop on Uncertainty Modelling for ElectroMagnetic Applications (UMEMA 2020). IEEE, 2 [forthcoming]. |
| Schierholz, Morten; Yang, Cheng; Roy, Kallol; Swaminathan, Madhavan; Schuster, Christian (2020). Comparison of Collaborative versus Extended Artificial Neural Networks for PDN Design. 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI). IEEE, 1−4. DOI: 10.1109/SPI48784.2020.9218157. |
| R. Trinchero, M. Ahadi Dolatsara, K. Roy, M. Swaminathan, F. G. Canavero (2019). Design of High- Speed Links via a Machine Learning Surrogate Model for the Inverse Problem. The IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), December 16-18. 2019. IEEE, 3. |
| Kallol Roy, Majid Ahadi Dolatsara, Hakki M. Torun, Riccardo Trinchero, Madhavan Swaminathan (2019). Inverse Design of Transmission Lines with Deep Learning. IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), October 6-9, 2019. 4. IEEE, 3. |
| Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna and Sung Kyu Lim (2019). Architecture, Chip, and Package Co-design Flow for 2.5D Integration of Reusable IP Chiplets. ACM Design Automation Conference, 2019. ACM, 6. DOI: 10.1145/3316781.3317775. |
| Kallol Roy, Hakki Torun Mert, Madhavan Swaminathan (2018). Preliminary Application of Deep Learning to Design Space Exploration. IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS), 2018. IEEE, 3. |
| Ramesh Patel, Kallol Roy, Jaesik Choi, Ki Jin Han (2017). Tractable Bayesian Learning for Automated Design of Electromagnetic Structures. 21st International Conference on the Computation of Electromagnetic Fields (Compumag2017). IEEE, 2. |
| Ramesh Patel, Kallol Roy, Jaesik Choi, Ki Jin Han (2017). Generative Design of Electromagnetic Structures through Bayesian Learning. vol. 54, 4. |
| Kallol Roy, Jaesik Choi (2017). Searching for Local Symmetry with Topological Features in Graphs. The First International Workshop on Machine Learning for Artificial Intelligence Platforms (MLAIP), Nov 2017. Seoul, South Korea: ACML, 1. |
| Kallol Roy, Anh Tong, Jaesik Choi (2016). Searching for Topological Symmetry in Data Haystack. 11. |
| Roy Kallol (2015). Quantum Algorithmic Engineering with Photonic Integrated Circuits. Germany: LAP LAMBERT Academic Publishing. |
| Kallol Roy, Biswajit Das, R. Srikanth, Bimalendu Dev, T. Srinivas (2012). Dynamical Decoherence Control of Atomic Spin Ensemble. 23rd International Conference on Atomic Physics (ICAP 2012) Ecole Polytechnique Palaiseau, France. ICAP, 1. |
| Kallol Roy, R.Srikanth, T.Srinivas (2011). Decoherence Suppression by Parallelism in a Trapped Ion System. Current Developments in Atomic, Molecular, Optical and Nano Physics (CDAMOP 2011), New Delhi, India. CDAMOP, 4. |
| Kallol Roy, R.Srikanth, T.Srinivas (2011). Decoherence Suppression By Parallelization Of Quantum Circuits. International Conference on Theoretical and Applied Physics (ICTAP 2011), IIT Kharagpur, India. ICTAP, 1. |
| Kallol Roy, Akshata Shenoy H., R. Srikanth, E. S. Shivaleela, T. Srinivas (2010). Kolmogorov Complexity Approach to Decoy-Based Quantum Cryptography. Photonics 2010, IIT Guwahati, India. SPIE, 1. |
| Christian Schuster, Technical University Hamburg, Germany |
| Pooyan Jamshidi, University of Southern California, USA |
| Purushothama Rao Tata, Duke University, USA |
GScanAI for Atmospheric Ray Tomography Image Reconstruction Tartu, Estonia |
YanuBuilding Chatbots for Bartending Applications Tartu, Estonia |
| 2023 | EAG304 Autonomous Mobile Power Generation Station | Status: In Review |
| 2023 | PRG2046 The intercellular Amida Network and 3D Tissue Morphogenesis | Status: In Review |