Srinivasan Parthasarathy


Dept. of Computer Science and Engineering and Department of Biomedical Informatics 
The Ohio State University 
395 Dreese Lab
2015 Neil Ave 
Columbus, OH-43210, USA

Office: 693 Dreese Lab 
Phone: (614) 292-2568
Fax: (614) 292-2911
Email: s r i n i [AT] (remove spaces in name and replace [AT] with appropriate symbol)
WWW:  (add first five letters of my first name)


I primarily teach courses in the Data and Network Science areas. In the past I have taught courses in Computer Architecture. Recent courses I have taught include:  

·        CSE 5243 (Introduction to Data Mining)

·        CSE 5249 (Special Topics Seminar in Databases and Data Mining)

·        CSE 5245  (Introduction to Network Science)


I direct the Data Mining Research Laboratory which is a part of the High End Systems Group and affiliated with the Laboratory for Artificial Intelligence Research.  I am broadly interested in the following areas


I enjoy theoretical, applied and systems problems in these areas. The National Science Foundation, the Department of Energy and the National Institutes of Health have been the primary supporters of my group's research together with grants and gifts from several industrial sponsors.  For a recent example, read more here.

PhD Advisees

    I currently advise the following PhD students (research foci noted):

 The following have graduated but continue to be remembered fondly:


o   Matthew Otey (PhD 2006,  @Google Research)

o   Hui Yang (PhD 2006, Assoc. Prof @San Francisco State University)

o   Sameep Mehta (PhD 2006, Manager@IBM Research, Adjunct Faculty @IIT Delhi)

o   Michael Twa (PhD 2006, Assoc. Dean, U. Alabama)

o   Keith Marsolo (PhD 2007, Assoc. Prof@Cincinnati Children’s and Univ. of Cincinnati)

o   Amol Ghoting (PhD 2007,  Former Director of Data Science@Amex, now @GraphSQL)

o   Chao Wang (PhD 2008,   Senior Applied Researcher @Microsoft )

o   Gregory Buehrer (PhD 2008, Partner Engineering Manager @Microsoft)

o   Sitaram Asur, (PhD 2009,  Researcher @HP)

o   Duygu Ucar, (PhD 2009, Asst. Professor @Jackson Laboratories)

o   Shirish Tatikonda (PhD 2010, Former Research Staff Member @IBM Almaden; now Principal Data Engineer @Target)

o   V. Satuluri (PhD 2011, Senior Engineer @Twitter)

o   X. Yang (PhD 2012, Engineer @Google)

o   Y. Wang (PhD 2013, Engineer @Airbnb)

o   Y-K Shih (PhD 2013, Data Scientist @GraphSQL)

o   T. Clemons, (ABD 2014, Engineer @Manta)

o   S.M. Faisal (PhD 2015, Engineer @Google)

o   Y. Ruan (PhD 2015, Engineer @Google)

o   D. Fuhry (PhD 2015, Senior Lecturer @OSU)

o   Y. Zhang (PhD 2015, Engineer @Google)


I also advise undergraduate students and masters students (at some point I will update this list to include them as well).

Selected Awards and Honors

Selected Recent Publications

o    A. Chakrabarti, V. Satuluri, A. Srivathsan and S. Parthasarathy, A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods, to appear in ACM Transactions on KDD, 2016.

o    A. Roychowdhury, B. Kulis and S. Parthasarathy, Robust Monte Carlo Sampling using Riemannian Nosè Poincarè Hamiltonian Dynamics, to appear ICML 2016.

o    R. Cai, Z. Zhang, S. Parthasarathy, A. Tung, Z. Hao and W. Zhang., Multi-Domain Manifold Learning for Drug Target Interaction Prediction, SIAM SDM 2016.

o    G. Tziantzioulis, A. Gok, S. Faisal, N. Hardavellas, S. Memik and S. Parthasarathy, Lazy Pipelines: Enhancing quality in approximate computing. DATE 2016.

o    G. Tziantzioulis, A. Gok, S. Faisal, N. Hardevallas, S. Memik and S. Parthasarathy: b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units. IEEE DAC 2015: 105:1-105:6

o    S. M. Faisal, G. Tziantzioulis, A. M. Gok, N. Hardavellas, S. Memik, S. Parthasarathy: Edge Importance Identification for Energy Efficient Graph Processing, IEEE Big Data Conference, 2015.

o    Gregory Buehrer, Roberto L. de Oliveira Jr., David Fuhry, Srinivasan Parthasarathy: Towards a parameter-free and parallel itemset mining algorithm in linearithmic time. ICDE 2015: 1071-1082

o    Naser Sedaghati, Te Mu, Louis-Noël Pouchet, Srinivasan Parthasarathy, P. Sadayappan: Automatic Selection of Sparse Matrix Representation on GPUs. ICS 2015: 99-108

o    Aniket Chakrabarti, Srinivasan Parthasarathy: Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. WWW 2015: 162-172

o    Sarvenaz Choobdar, Pedro Manuel Pinto Ribeiro, Srinivasan Parthasarathy, Fernando M. A. Silva: Dynamic inference of social roles in information cascades. Data Min. Knowl. Discov. 29(5): 1152-1177 (2015)

o    Quoc Trung Tran, Chee Yong Chan, Srinivasan Parthasarathy: Query reverse engineering. VLDB J. 23(5): 721-746 (2014)

o    S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan: Global graphs: A middleware for large scale graph processing. IEEE Big Data Conference 2014: 33-40

o    Yu-Keng Shih, Sungmin Kim, Yiye Ruan, Jinxing Cheng, Abhishek Gattani, Tao Shi, Srinivasan Parthasarathy: Component Detection in Directed Networks. CIKM 2014.

o    Yiye Ruan, Srinivasan Parthasarathy: Simultaneous detection of communities and roles from large networks. ACM COSN 2014: 203-214

o    Qingpeng Niu, Pai-Wei Lai, S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan: A fast implementation of MLR-MCL algorithm on multi-core processors. HiPC 2014: 1-10

o    Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth: On Understanding the Divergence of Online Social Group Discussion. ICWSM 2014

o    Arash Ashari, Naser Sedaghati, John Eisenlohr, Srinivasan Parthasarathy, P. Sadayappan: Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. SC 2014: 781-792

o    Roberto Lourenço de Oliveira Jr., Adriano Veloso, Adriano M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy: Economically-efficient sentiment stream analysis. SIGIR 2014: 637-646

For a complete listing of publications please refer to one of the links below: Google Scholar,  DBLP or PubMed.   If you are at this page searching for the Regularized Markov Clustering code base please go here.



I serve or have served on the program committees or organizing committees of leading conferences in the fields of Machine Learning, Data Mining, Parallel and Distributed Computing, and Database Systems. I serve or have served as action or associate editors of several leading journals in these fields. Since 2012 I am the Steering Committee Chair of the SIAM Data Mining Conference Series.


At OSU, I helped create, and am a founding co-director of OSU’s undergraduate major in data analytics. This major among the first of its kind nationwide spans the core areas of Computer Science, Statistics and Mathematics while offering specializations in a diverse range of domains ranging from business analytics to cybersecurity and from text analytics to health informatics. For more details on this effort please go to the DA major website.


Last Update: May 2016

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