Kallol Roy


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.

Institutions & Positions

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 Sulaiman Modar Sulaiman
PhD Student
September 2020 - Present
Thesis Title: Artificial intelligence bias to predict future criminals
University of Tartu, Estonia
Nesma Talaat Abbas Mahmoud Nesma Talaat Abbas Mahmoud
Ph.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 Zaman A G M Zaman
Ph.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


Sander Sats Sander Sats
M.Sc. Student
September 2023 - Present
Thesis Title: Prompt Design for Control Systems
University of Tartu, Estonia
Kirill Rodionov Kirill Rodionov
M.Sc. Student
February 2023 - Present
Thesis Title: Robot Navigation by Following Natural Language Directions
University of Tartu, Estonia
Aleksandrs Kozjutinskis Aleksandrs Kozjutinskis
M.Sc. Student
September 2023 - Present
Thesis Title: T.B.C
University of Tartu, Estonia



Wai Tik Chan Wai Tik Chan
M.Sc. Student
September 2022 - August 2023
Thesis Title: Emergent Theory of Mind (ToM) from Token Merging
University of Tartu, Estonia
Ashraf Abbasov Ashraf Abbasov
M.Sc. Student
September 2022 - May 2023
Thesis Title: Text Region-Based Convolutional Neural Network for Precision Agriculture
University of Tartu, Estonia
Prakhar Srivastava Prakhar Srivastava
M.Sc. Student
September 2022 - March 2023
Thesis Title: Lensless Camera for Imaging
University of Tartu, Estonia
Kristiine Saarmann 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 Mukose John-William Mukose
M.Sc. Student (Industrial)
September 2021 - June 2022
Thesis Title: Machine Learning for Predicting Electricity Consumption
University of Tartu, Estonia
Jose Rodrigo Flores Espinosa Jose Rodrigo Flores Espinosa
M.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 Patel 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

International Students

Kimia Noorbakhsh Kimia Noorbakhsh
Current Affiliation: MIT, USA
Amirhossein Bagheri Amirhossein Bagheri
Current 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
Building Excellence in Muon Tomography at the University of Tartu
Status: In Review

Honours & Awards

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

R&D related Managerial and Administrative Work

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
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


Click here to view all publications Google Scholar Profile

Top-sited Publications Listed Below

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
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 ...
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
Pretrained Language Models are Symbolic Mathematics Solvers too!
K Noorbakhsh, M Sulaiman, M Sharif, Kallol Roy, P Jamshidi
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 ...
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


GScan GScan
AI for Atmospheric Ray Tomography Image Reconstruction
Tartu, Estonia