Kallol Roy is currently working as an Assistant Professor at Institute of Computer Science, University of Tartu, Estonia. His research interests are Machine Learning, Smoothed Analysis of Algorithms, Beyond Worst-case Complexity, Mathematical Programming, and Combinatorial Optimization.
| Dec 2019 - Now | Assistant Professor of Artificial Intelligence University of Tartu, Estonia |
| Jun 2023 - Aug 2023 | Visiting Scientist, Indian Statistical Institute, India |
| 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 | Research Assistant 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 |
A G M ZamanPh.D. Student September 2023 - Present Co-supervisor: Jüri Olt Thesis Title: Cultivated Plant Sensing: Artifical Intelligence for Precision Agricultural in Dynamic Environment University of Tartu, Estonia and Estonian University of Life Sciences |
Kirill RodionovM.Sc. Student February 2023 - Present Thesis Title: Robot Navigation by Following Natural Language Directions University of Tartu, Estonia |
Fjodor ShevchenkoM.Sc. Student September 2023 - Present Thesis Title: Machine Learning for Leaf Angle Distribuution University of Tartu, Estonia |
Wai Tik ChanM.Sc. Student September 2022 - August 2023 Thesis Title: Emergent Theory of Mind (ToM) from Token Merging University of Tartu, Estonia |
Ashraf AbbasovM.Sc. Student September 2022 - May 2023 Thesis Title: Text Region-Based Convolutional Neural Network for Precision Agriculture University of Tartu, Estonia |
Prakhar SrivastavaM.Sc. Student September 2022 - March 2023 Thesis Title: Lensless Camera for Imaging University of Tartu, Estonia |
Kristiine SaarmannM.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 |
Alka PatelM.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 |
Kimia NoorbakhshCurrent Affiliation: MIT, USA |
Amirhossein BagheriCurrent Affiliation: Sharif University of Technology, Iran |
| Artificial Intelligence to Predict Future Criminals |
| Deep Learning for Symbolic Mathematics |
| Machine Learning for Circuits Design |
| Machine Learning for Early Detection of Parkinsons Disease |
| 2023 | EAG304 Autonomous Movable Power Station Period: 01 Nov 2023 - 31 Oct 2024 Principal Investigator: Jüri Olt Estonian University of Life Sciences Financier: Estonian Research Council Financing: 150 000 EUR |
Status: Funded |
| 2023 | HORIZON-WIDERA-2023-ACCESS-02-01 (MUON-TWIN) Building Excellence in Muon Tomography at the University of Tartu |
Status: In Review |
| 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 |
| Architecture, chip, and package co-design flow for 2.5 D IC design enabling heterogeneous IP
reuse J Kim, G Murali, H Park, E Qin, H Kwon, V Chaitanya, K Chekuri, N Dasari, A Singh, M Lee, H M Torun, Kallol Roy, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-6 |
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Architecture, chip, and package codesign flow for interposer-based 2.5-D chiplet integration
enabling heterogeneous IP
reuse J Kim, G Murali, H Park, E Qin, H Kwon, VCK Chekuri, NM Rahman, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (11 ... |
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SI/PI-Database of PCB-Based Interconnects for Machine Learning Applications M Schierholz, A Sánchez-Masís, A Carmona-Cruz, X Duan, Kallol Roy, ... IEEE Access (Early Access), 1-1 |
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Pretrained Language Models are Symbolic Mathematics Solvers too! K Noorbakhsh, M Sulaiman, M Sharif, Kallol Roy, P Jamshidi |
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Inverse design of transmission lines with deep learning Kallol Roy, MA Dolatsara, HM Torun, R Trinchero, M Swaminathan 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging ... |
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Design of high-speed links via a machine learning surrogate model for the inverse problem R Trinchero, MA Dolatsara, K Roy, M Swaminathan, FG Canavero 2019 Electrical Design of Advanced Packaging and Systems (EDAPS), 1-3 |
| Christian Schuster, Technical University Hamburg, Germany |
| Pooyan Jamshidi, University of Southern California, USA |
| Hamid Bagheri, University of Nebraska-Lincoln, USA |
| Sandeep Kuttal, NC State University, USA |
| Renato Rimolo-Donadio, MPE IO Senior Analog Engineer at Intel Corporation, Professor at Electronics Engineering Department, ITCR |
| Tambet Teesalu, Laboratory of Precision and Nanomedicine, Estonia |
GScanAI for Atmospheric Ray Tomography Image Reconstruction Tartu, Estonia |