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Subhas Chandra Nandy

Subhas Chandra Nandy
Subhas Chandra Nandy
 
PhD (Computer Science), University of Calcutta

Contact Details

 
079-68261717
 
# 4105, FB-4, DAU, Gandhinagar, Gujarat, India – 382007

Biography

Subhas C Nandy received the M.Sc. degree in Statistics from University of Calcutta in the year 1982, M.Tech.(CS) degree from Indian Statistical Institute in the year 1985, and Ph.D. degrees in Computer Science from University of Calcutta in the year 1996. Since 1986, he was an employee of Indian Statistical Institute, Kolkata. He retired as Professor HAG in July 2024. At the time of retirement he was attached with the Advanced Computing and Microelectronics Unit of the institute. He held visiting scientist positions in Japan Advance Institute of Science and Technology (JAIST) during 1998-1999 and City University of Hong Kong during May-August 2000. During August-December 2014 and August-September 2015, he served Carleton University as a visiting professor. He served in the Programme Committee of ISAAC (2006,2022), FSTTCS (2006, 2014), WALCOM (2008, 2010, 2011,2015, 2017, 2018, 2021, 2024, 2025, 2026). He is the Steering Committee member of the Workshop on Algorithms and Computation (WALCOM). He also served as a Guest Editor of two issues of the journal Theoretical Computer Science, and the special issue of WALCOM 2021 in J. on Graph Algorithms and Applications. He supervised 7 Doctoral students and more than 30 M.Tech.(CS) students during the tenure of his service as a faculty member in ISI.

The research areas of interest of Dr. Nandy are computational and combinatorial geometry and algorithmic graph theory with applications in VLSI physical design, wireless communication, robot path planning, etc. He collaborates with researchers in IIT KGP, IIT Guwahati, IIT Delhi, etc. in the country, and Carleton University, Simon Fraser University, abroad. He published more than 100 research articles in reputed international journals and peer reviewed conferences.

Specialization

Algorithms, Data Structure, Graph Applications, Computational and Combinatorial Geometry

Publications

Teaching

Algorithms, Data Structure, Computational Geometry, Graph Algorithms, Optimization, Approximation and Randomized Algorithms

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