Timeline — Sagnik Chatterjee

2026

Mar'26: Conducted a short course on quantum computing (6 lectures) at IIT (ISM) Dhanbad.
Feb'26: Invited poster in ACM ARCS 2026 at IIT Hyderabad.

Dec'25: Joined TIFR Mumbai as a Visiting Fellow (Postdoctoral researcher).
Oct'25: Invited talk on Generalization Bounds for Dependent Data using Online-to-Batch Conversion at the STCS seminar, TIFR Mumbai.
May'25: Defended my Ph.D. Thesis.
May'25: Invited talk on Efficient Quantum Agnostic Improper Learning of Decision Trees at the CS Colloquium, Ashoka University.
Mar'25: Invited to give a full day workshop on quantum computing by Edunautic at IIT Delhi.
Jan'25: Invited to give a talk at the QAC 2025 Symposium.
Jan'25: Generalization Bounds for Dependent Data using Online-to-Batch Conversion accepted at AISTATS'25.

Oct'24: Invited talk on Generalization Bounds for Dependent Data using Online-to-Batch Conversion at the ACMU seminar, ISI Kolkata.
Aug–Oct'24: Visiting Prof. Sourav Chakraborty at ISI Kolkata for a research internship.
Jul'24: Efficient Quantum Agnostic Improper Learning of Decision Trees presented at RTA'24.
Jun'24: Invited talk on Efficient Quantum Agnostic Improper Learning of Decision Trees at the ACMU seminar series, ISI Kolkata.
Feb'24: Gave 3 invited lectures on advanced quantum algorithms in the Quantum Computing school organized by CMI, India.
Jan'24: Efficient Quantum Agnostic Improper Learning of Decision Trees accepted at AISTATS'24.
Jan'24: Poster on Efficient Quantum Agnostic Improper Learning of Decision Trees at QIP'24.
Jan'24: Teaching Assistant for Theory of Computation.

Sep'23: Invited talk at the IDA seminar on Efficient Quantum Agnostic Improper Learning of Decision Trees in Czech Technical University, Prague.
Sep'23: Invited talk on Efficient Quantum Agnostic Improper Learning of Decision Trees at the University of Latvia, Riga.
Jul–Sep'23: Visiting Czech Technical University, Prague for a research internship.
Jun'23: Quantum boosting using domain-partitioning hypotheses accepted at Quantum Machine Intelligence.
Jun'23: Attended the JTG Summer School at IISc Bangalore.
Feb'23: Invited talk on Quantum boosting using domain-partitioning hypotheses at the IIITD CSE Department seminar.
Jan'23: Teaching Assistant for Introduction to Quantum Computing.

Nov'22: Short talk on Quantum boosting using domain-partitioning hypotheses accepted at QTML'22.
Apr'22: Qualified my Ph.D. Comprehensive Exam.
Mar'22: Teaching Assistant for Data Structures and Algorithms.
Mar'22: Invited talk on Quantum boosting using domain-partitioning hypotheses at the IITD Theoretical CS seminar.
Mar'22: Poster on Quantum boosting using domain-partitioning hypotheses presented at QIP'22.

Dec'21: Organized and conducted the QISE'21 online workshop at FSTTCS'21.
Aug'21: Teaching Assistant for Modern Algorithm Design.
Jan'21: Teaching Assistant for Theory of Computation.
Jan'21: Poster on Applying QAOA+ to the graph matching problem presented at QIP'21.

Dec'20: Conducted an online FDP on Quantum Machine Learning for JNTU, Anantapur.
Nov'20: Extended Abstract on Applying QAOA+ to the graph matching problem accepted at AQIS'20.
Aug'20: Teaching Assistant for Modern Algorithm Design.
Feb'20: Attended the Boolean Functions workshop at ISI-Kolkata.
Jan'20: Runners-Up IBMQ 2019 Awards [Teach Me Quantum Category].
Jan'20: Teaching Assistant for Theory of Computation.