Balaji Vasan Srinivasan

Senior Research Scientist

BigData Experience Lab, Bangalore

Balaji is a senior research scientist at the Adobe Research Big data Experience Labs, Bangalore, India. His research interests span the areas of natural language processing, data mining, machine learning, social data analytics and high performance computing.

He completed his Ph.D. in computer science at the University of Maryland in September 2011. His thesis was on Scalable Learning Methods for Speaker Recognition and Geostatistics. Balaji completed his M.S. in electrical engineering from University of Maryland in 2008 and B.E. in electrical engineering from Anna University (India) in 2006.

His  work experience includes research internships at National Institutes of Health, Bethesda, MD (May – Aug 2007) and Xerox Research Center, Webster, NY (May – Aug 2011).

Professional Services

Organizing Committee

  • Industry Track Co-Chair: 4th ACM IKDD Conference on Data Science, 2017
  • Demo & Exhibits Co-Chair: 9th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2017
  • Data Challenge Co-Chair: 3rd ACM IKDD Conference on Data Science, 2016
  • Proceedings Co-Chair: 2nd ACM IKDD Conference on Data Science, 2015

Program Committee Member

  • Social Network Worksop as a part of IEEE COMSNET 2016, 2017
  • Workshop on Big Learning, Algorithms, Systems and Tools for Learning at Scale as a part of Advances in Neural Information Processing Systems 2011

Reviewer

  • IEEE Transactions on Language Speech and Audio Processing
  • IEEE Transactions on Neural Networks
  • IEEE Transactions on Information Forensics and Security
  • International Journal of High Performance Computing
  • Journal of Ambient Intelligence and Humanized Computing

My Publications

When science journalism meets artificial intelligence : An interactive demonstration

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 31, 2018)
Conference on Empirical Methods in Natural Language Processing (EMNLP) demo track

Sci-Blogger: A step towards automated science journalism

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 22, 2018)
27th ACM International Conference on Information and Knowledge Management (CIKM)

Corpus-based Content Construction

Srinivasan, B., Maneriker, P., Krishna, K., Modani, N. (Aug. 20, 2018)
27th International Conference on Computational Linguistics

Vocabulary-tailored summary generation

Krishna, K., Murherkar, A., Sharma, S., Srinivasan, B. (Aug. 20, 2018)
27th International Conference on Computational Linguistics (COLING)

Generating topic-oriented summaries using neural attention

Krishna, K., Srinivasan, B. (Jun. 6, 2018)
16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India

Sancheti, A., Maheshwari, P., Chaturvedi, R., Monsy, A., Goyal, T., Srinivasan, B. (Jun. 3, 2018)
22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining

Usage Based Tag Enhancement of Images

Srinivasan, B., Sheikh, N., Kumar, R., Verma, S., Ganguly, N. (May. 26, 2017)
21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Preventing Inadvertent Information Disclosures via Automatic Security Policies

Goyal, T., Mehta, S., Srinivasan, B. (May. 26, 2017)
21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Corpus-based Automatic Text Expansion

Srinivasan, B., Roy, R., Jhamtani, H., Modani, N., Chhaya, N. (Apr. 17, 2017)
18th International Conference on Intelligent Text Processing and Computational Linguistics

Generating Multiple Diverse Summaries

Modani, N., Srinivasan, B., Jhamtani, H. (Nov. 9, 2016)
17th International Conference on Web Information Systems Engineering

Smart filters for social retrieval

Srinivasan, B., Goyal, T., Nainani, N., Sreenivasan, K. (Mar. 13, 2016)
ACM IKDD Conference on Data Science

Environment Specific Content Rendering & Transformation

Srinivasan, B., Goyal, T., Singh, S., Syal, V., Sharma, V. (Mar. 8, 2016)
ACM Intelligent User Interfaces (Poster)

Banzhaf Index for Influence Maximization

Srinivasan, B., Kumar, A. (Dec. 9, 2015)
The 7th International Conference on Social Informatics

Community Reaction – From Blogs to Facebook

Srinivasan, B., Natarajan, A., Sinha, R., Sinha, M. (Mar. 18, 2015)
ACM iKDD Conference on Data Science

Stemming the flow of information in a social network

Srinivasan, B., Kumar, A., Gupta, S., Gupta, K. (Nov. 10, 2014)
The 6th International Conference on Social Informatics

Topic-based Targeted Influence Maximization

Srinivasan, B., Natarajan, A., Dalal, A., Yenugula, M., Srikanthan, P., Layek, A. (Jan. 10, 2014)
Workshop on Social Networks – Science and Engineering, COMSNETS

Preconditioned Krylov solvers for kernel regression

Srinivasan, B., Hu, Q., Gumerov, N., Duraiswami, R. (Dec. 9, 2013)
Workshop on Large Scale Matrix Analysis and Inference at Neural Information Processing Systems

Will your Facebook post be engaging?

Srinivasan, B., Natarajan, A., Sinha, R., Gupta, V., Revankar, S., Ravindran, B. (Nov. 1, 2013)
Workshop on User Engagement Optimization at ACM International Conference on Information and Knowledge Management

A symmetric kernel partial least squares framework for speaker recognition

Srinivasan, B., Luo, Y., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Mar. 20, 2013)
IEEE Transactions on Audio, Speech and Language Processing

UMD-JHU 2011 Speaker Recognition System

Garcia-Romero, D., Zhou, X., Zotkin, D., Srinivasan, B., Luo, Y., Ganapathy, S., Thomas, S., Nemala, S., Sivaram, G., Mirbagheri, M., Mallidi, S., Janu, T., Rajan, P., Mesgarani, N., Elhilali, M., Hermansy, H., Shamma, S., Duraiswami, R. (Mar. 25, 2012)
In Proc. of 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan

Domain-specific adaptation of a partial least squares regression model for loan defaults prediction

Srinivasan, B., Gnanasambandam, N., Zhao, S., Minhas, R. (Dec. 11, 2011)
In Proc. of 5th International Workshop on Domain Driven Data Mining (DDDM) held at the International Conference on Data Mining, Vancouver B.C., Canada

Kernelized Renyi distance for subset selection and similarity scoring

Srinivasan, B., Duraiswami, R. (Oct. 12, 2011)
In CS-TR-4994, University of Maryland, College Park, MD

Scalable learning for geostatistics and speaker recognition

Srinivasan, B. (Sep. 15, 2011)
PhD Thesis, University of Maryland, College Park

Kernel partial least squares framework for speaker recognition

Srinivasan, B., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Aug. 27, 2011)
In Proc. of 12th Annual Conference of the International Speech Communication Association (INTERSPEECH), Florence, Italy

A partial least squares framework for speaker recognition

Srinivasan, B., Zotkin, D., Duraiswami, R. (May. 22, 2011)
In Proc. of 36th IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic

Partial least squares based speaker recognition system

Srinivasan, B., Zotkin, D., Duraiswami, R. (Apr. 13, 2011)
In Snowbird Learning Workshop, Fort Lauderdale, FL

Partial least squares on graphical processor for efficient pattern recognition

Srinivasan, B., Schwartz, W., Duraiswami, R., Davis, L. (Oct. 18, 2010)
In CS-TR-4968, University of Maryland, College Park, MD

Random sampling for estimating the performance of fast summations

Srinivasan, B., Duraiswami, R. (Oct. 18, 2010)
In CS-TR-4969, University of Maryland, College Park, MD

GPUML: Graphical processors for speeding up kernel machines

Srinivasan, B., Qi, H., Duraiswami, R. (May. 1, 2010)
In Proc. of Workshop on High Performance Analytics - Algorithms, Implementations, and Applications, Siam Conference on Data Mining, Columbus, OH

Fast matrix-vector product based FGMRES for kernel machines

Srinivasan, B., Duraiswami, R., Gumerov, N. (Apr. 4, 2010)
In 11th Copper Mount Conference on Iterative Methods, Copper Mountain, CO

Kernelized Rényi distance for speaker recognition

Srinivasan, B., Duraiswami, R., Zotkin, D. (Mar. 14, 2010)
In Proc. of 35th International Conference on Acoustics, Speech and Signal Processing, Dallas, TX

Efficient kriging for real-time spatio-temporal interpolation

Srinivasan, B., Duraiswami, R., Murtugudde, R. (Jan. 18, 2010)
In 20th Conference on Probability and Statistics in the Atmospheric Sciences, American Meteorological Society, Atlanta, GA

Scaling kernel machine learning algorithm via the use of GPUs

Srinivasan, B., Duraiswami, R. (Oct. 1, 2009)
In GPU Technology Conference, NVIDIA Research Summit, San Jose, CA

Efficient subset selection via the kernelized Rényi distance

Srinivasan, B., Duraiswami, R. (Sep. 27, 2009)
In Proc. 12th IEEE International Conference on Computer Vision, Kyoto, Japan

Automatic online tuning for fast Gaussian summation

Morariu, V., Srinivasan, B., Raykar, V., Duraiswami, R., Davis, L. (Dec. 8, 2008)
In Proc. 22nd Annual Conference on Neural Information Procssing Systems , Vancouver B.C, Canada

Gaussian Process Regression for Model Estimation

Srinivasan, B. (Nov. 21, 2008)
Masters Thesis, University of Maryland, College Park, MD

Exploring use of images in clinical articles for decision support in Evidence-Based Medicine

Antani, S., Demner-Fushman, D., Li, J., Srinivasan, B., Thoma, G. (Jan. 27, 2008)
In Proc. of SPIE Electronic Imaging; Document Recognition and Retrieval, San Jose, CA