Anuran Makur
Assistant Professor of Computer Science
Assistant Professor of Electrical and Computer Engineering
Anuran Makur is an Assistant Professor in the Department of Computer Science and the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. He received his B.S. degree with highest honors (summa cum laude) from the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley (UC Berkeley), CA, USA, in 2013, and his S.M. and Sc.D. degrees from the Department of Elect… ↓More
Joined department: Fall 2021
Research Areas
- Artificial Intelligence, Machine Learning, and Natural Language Processing
- Theory of Computing, Algorithms, and Quantum Computing
Education
Sc.D., Massachusetts Institute of Technology, Electrical Engineering and Computer Science (2019)
S.M., Massachusetts Institute of Technology, Electrical Engineering and Computer Science (2015)
B.S., University of California, Berkeley, Electrical Engineering and Computer Sciences (2013)
Anuran Makur is an Assistant Professor in the Department of Computer Science and the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. He received his B.S. degree with highest honors (summa cum laude) from the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley (UC Berkeley), CA, USA, in 2013, and his S.M. and Sc.D. degrees from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2015 and 2019, respectively. Then, he was a postdoctoral researcher at the Laboratory for Information and Decision Systems and the Institute for Data, Systems, and Society at MIT from 2019 to 2021. His research interests include the theory of machine learning, information theory, and applied probability. He was a recipient of the Arthur M. Hopkin Award from UC Berkeley in 2013, the Jacobs Presidential Fellowship from MIT in 2013, the Ernst A. Guillemin Master's Thesis Award from MIT in 2015, the Jin Au Kong Doctoral Thesis Award from MIT in 2020, the Thomas M. Cover Dissertation Award from the IEEE Information Theory Society in 2021, and the CAREER Award from the National Science Foundation in 2023.
Selected Publications
A. Makur and J. Singh, "Hypothesis testing for generalized Thurstone models," in Proceedings of the 42nd International Conference on Machine Learning (ICML), Vancouver, BC, Canada, July 13-19 2025, pp. 1-35.
W. Lu and A. Makur, "Permutation capacity region of adder multiple-access channels," IEEE Transactions on Information Theory, vol. 70, no. 7, pp. 4693-4720, July 2024.
A. Makur and J. Singh, "Doeblin coefficients and related measures," IEEE Transactions on Information Theory, vol. 70, no. 7, pp. 4667-4692, July 2024.
A. Makur, M. Mertzanidis, A. Psomas, and A. Terzoglou, "On the robustness of mechanism design under total variation distance," in Proceedings of the Advances in Neural Information Processing Systems 36 (NeurIPS), New Orleans, LA, USA, December 10-16 2023, pp. 1620-1629.
A. Makur, E. Mossel, and Y. Polyanskiy, "Broadcasting on two-dimensional regular grids," IEEE Transactions on Information Theory, vol. 68, no. 10, pp. 6297-6334, October 2022.