Gopalakrishnan Srinivasaraghavan
Home * People * Gopalakrishnan Srinivasaraghavan
Gopalakrishnan Srinivasaraghavan,
an Indian mechanical engineer and computer scientist, guest faculty at Indian Statistical Institute, Bangalore,
guest faculty and professional at the International Institute of Information Technology, Bangalore, and partner at Performance Engineering Associates, Bangalore. He holds a B.Tech. and M. Tech. in mechanical engineering in 1983 and 1987, and a Ph.D. in CS in 1992, all degrees from Indian Institute of Technology, Kanpur [2].
His research interests include optimization problems, machine learning, distributed computing and Internet technology.
As advisor of Rahul Aralikatte, he co-authored a paper [3] on Rahul's master's thesis chess program Phoenix [4] based on CuckooChess by Peter Österlund - who however came to other conclusions as the authors in trying the optimized piece-square tables in CuckooChess [5].
Contents
Selected Publications
1990 ...
- R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan (1993). The Complexity of Finding Certain Trees in Tournaments. WADS 1993
- G. Srinivasaraghavan, Asish Mukhopadhyay (1993). On the Notion of Completeness for Reconstruction Algorithms on Visibility Graphs. CCCG 1993
- G. Srinivasaraghavan, Asish Mukhopadhyay (1994). A New Necessary Condition for the Vertex Visibility Graphs of Simple Polygons. Discrete & Computational Geometry, Vol. 12
- R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan (1995). Tight Bounds for Finding Degrees from the Adjacency Matrix. LATIN 1995
2000 ...
- G. Srinivasaraghavan, Asish Mukhopadhyay (2000). Orthogonal Edge Visibility Graphs of Polygons with Holes. International Journal of Computational Geometry and Applications, Vol. 10, No. 1
2010 ...
- Jyotiska Nath Khasnabish, Mitali Sodhi, Jayati Deshmukh, G. Srinivasaraghavan (2014). Detecting Programming Language from Source Code Using Bayesian Learning Techniques. MLDM 2014
- Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan (2016). Storage Load Control Through Meta-Scheduler Using Predictive Analytics. ICDCIT 2016
- Rahul Aralikatte, G. Srinivasaraghavan (2016). Phoenix: A Self-Optimizing Chess Engine. arXiv:1603.09051
- Daksh Varshneya, G. Srinivasaraghavan (2017). Human Trajectory Prediction using Spatially aware Deep Attention Models. arXiv:1705.09436
- Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan (2019). Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space. ISNN 2019
External Links
References
- ↑ IIIT-B :: faculty | G Srinivasaraghavan
- ↑ Gopalakrishnan Srinivasaraghavan | LinkedIn
- ↑ Rahul Aralikatte, G. Srinivasaraghavan (2016). Phoenix: A Self-Optimizing Chess Engine. arXiv:1603.09051
- ↑ Rahul Aralikatte (2014). Phoenix : A Self Learning Chess Engine. for the Award of M. Tech in Information Technology, International Institute of Information Technology, Bangalore, Bangalore, advisor G. Srinivasaraghavan
- ↑ Re: PHOENIX=CuckooChess with learning function in Falcon style by Peter Österlund, CCC, March 20, 2016
- ↑ dblp: G. Srinivasaraghavan
