Faculty
Ambedkar Dukkipati
ad [at] iisc.ac.in
Research interests of Prof. Dukkipati lie in foundations of machine learning. In particular, he is interested in problems related to network analysis, spectral graph methods, machine learning in low data regime, sequential decision making under uncertainity and deep reinforcement learning.
Doctoral Students
Parag Dutta
paragdutta [at] iisc.ac.in
Parag joined StatsML Group as a Ph.D. student in 2022. He used to work on statistical modeling in the low data regime during his masters at StatsML. Curently he is working on offline reinforcement learning and foundation models.
Rahul V
rahulv [at] iisc.ac.in
Rahul V is an PhD candidate (ERP) at CSA, IISc along with working in GE Healthcare. His day job is to tinker with machine learning algorithms to solve medical imaging problems, evenings for resigning to the fact that his tinkerings have underperformed the baselines and hopes he can enjoy academic delights in the night. He is broadly interested in understanding why deep learning algorithms work, and if they can indeed work well with noisy and fewer samples.
Arpana Alka
arpanaalka [at] iisc.ac.in
Arpana joined the PhD in 2021. She has industrial exp of 4+ years. She completed her master's from IIST Trivandrum in ML and bachelor's from NIT Surat in CS. She has worked in areas of deep learning, computer vision, transformers and NLP. Currently, she is working for ML in Neuroscience.
Eega Revanth Raj
revanthraje [at] iisc.ac.in
Revanth completed his B.Tech in ECE from IIT KGP and worked at Samsung Research for three years, focusing on computer vision. Currently, he joined as a Direct PhD student at IISc, aiming to deepen understanding of Machine Learning (ML) and Deep Learning (DL) concepts.
Masters Students
Soumyadeep Roy
rsoumyadeep [at] iisc.ac.in
Soumyadeep's passion for AI began during his B.Tech days at the Govt. College of Engg & Ceramic Technology in Kolkata, where he honed his skills by completing various short projects. As he delved deeper into the field, he became increasingly fascinated by the mathematical principles that underpinned it. Driven by this curiosity, he joined the StatsML group at CSA as a Direct PhD student in January 2023, with a broad interest in both theoretical and applied ML/DL.
Chaitanya
chaitanyam [at] iisc.ac.in
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Chintaguntla Kalyankumar Malakondayya
kalyankumarc [at] iisc.ac.in
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Dikshant Gupta
dikshantg [at] iisc.ac.in
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Rahul
rahulsiripur [at] iisc.ac.in
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Shashwat
shashwat2024 [at] iisc.ac.in
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Simarpreet Kaur
simarpreetk [at] iisc.ac.in
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Yogesh Kumar Sahu
yogeshsahu [at] iisc.ac.in
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Vinayakamukesh
vinayakama@iisc.ac.in [at] iisc.ac.in
Former PhD Students
A R Shaarad
Graduated 2025Thesis: Sequential Decision Making with Risk, Offline Data, and External Influence: Bandits and Reinforcement Learning. B.Sc./M.Sc. (Sri Sathya Sai University). Next Stop: Wells Fargo.
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Tony Gracious
Graduated 2023Thesis: Temporal Point Processes for Forecasting Events in Higher-Order Networks. B.Tech (NIT Calicut); M.Tech (IISc). Next Stop: Dolby, Advanced Technology Group
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Shubham Gupta
Graduated 2021Thesis: Statistical Network Analysis: Community Structure, Fairness Constraints, and Emergent Behavior. B.Tech (Ideal Institute of Technology, Ghaziabad), Wipro Ph.D. Fellowship, Next Stop: IBM Research, Paris.
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Ashwin Guha
Graduated 2018Thesis: On Representations and Spectral Inequalities for Nonuniform Hypergraphs. B.Tech (NIT Trichy); MSc(Engg) (IISc), TCS Ph.D. Fellowship award. Next Stop: Startup
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Gaurav Pandey
Graduated 2017Thesis: Deep Learning with Minimal Supervision. B.Tech (AMU, Aligarh); ME (IISc), IBM Ph.D. Fellowship award for 2014-15, 2015-16. Next Stop: IBM-IRL
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Maria Fancis
Graduated 2016Thesis: Grobner Basis Algorithms for Polynomial Ideal Theory over Noetherian Commutative Rings. B.Tech (NIT Calicut),Google Anita Borg Memorial Scholarship for 2014. Next Stop: Post-doctoral researcher in the Institute of Algebra, Johannes Kepler University,Linz, Austria. At Present: Faculty in Computer Science at IIT Hyderabad
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Debarghya Ghoshdastidar
Graduated 2016Thesis: Consistency of Spectral Algorithms for Hypergraphs under Planted Partition Model. B.Tech (Jadavpur), ME (IISc), Google Research Ph.D. Fellowship in Statistical Learning Theory. Next Stop: Post-doctoral researcher in the Theory of Machine Learning group, University of Tübingen, Germany. At Present: Faculty in Computer Science at Technical University, Munich, Germany.
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