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Work

• Computational Health Data Scientist (Dec 2017 – )
  • Biocomplexity Institute, Virginia Tech
  • Mentor: Bryan Lewis, MPH, PhD
• Postdoctoral Associate (Feb 2015 – )
  • Biocomplexity Institute, Virginia Tech
  • Mentor: Prof. Anil Vullikanti
• Research Assistant (May – Nov 2014)
  •  Dept. of Information Engineering,  Chinese University of Hong Kong
  • Mentor: Prof. Dah Ming Chiu
• Student Intern (May – Aug 2007) , Bell Labs Research India

Education

• Ph.D. (Aug. 2008 – Apr 2014) – Influence Dynamics on Social Networks
  •  Dept. of ECE, Indian Institute of Science
  • Advisor: Prof. Anurag Kumar

• B.E. (Aug 2004- Jun 2008) –  Dept. of ECE, College of Engg. Guindy
  • Final Year Project: Relay Selection for Cooperative Diversity in Wireless Networks

Research Interests

• Stochastic processes
• Agent-based modeling
• Differential Equations
• Optimization and Optimal Control
• Network Science

Research Domains

Peer-reviewed Conferences/Workshops

1. Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, and Xiaopeng Zhang, “Profiling OSN Users Based on Temporal Posting Patterns” , accepted to appear in ACM OSNeD 2018 (Online Social Networks and Media: Network Properties and Dynamics), co-held with The Web Conference (WWW) 2018.

2. Srinivasan Venkatramanan, SichaoWu, Bowen Shi, Achla Marathe, Madhav Marathe, Stephen Eubank, Lalit Sah, A.P. Giri, Luke Colavito, Nitin S, Sridhar V, Asokan R, Rangaswamy Muniappan, George Norton, and Abhijin Adiga, Towards Robust Models of Food Flows and Their Role in Invasive Species Spread , accepted to appear in IEEE International Conference on Big Data (IEEE Big Data), 2017. [Slides]

3. Farzaneh Sadat Tabataba, Milad Hosseinipour, Bryan Lewis, Foroogh Sadat Tabataba, Srinivasan Venkatramanan, Dave Higdon, Jiangzhuo Chen, and Madhav Marathe, Epidemic Forecasting by Combining Agent-Based Models and Smart Beam-Particle Filtering Framework, IEEE International Conference on Data Mining (ICDM) short paper, 2017.

4. Venkatramanan S, Chen J, Gupta S, Lewis B, Marathe M, Mortveit H, Kumar VS Anil (2017) Spatio-temporal optimization of seasonal vaccination using a metapopulation model of influenza, IEEE International Conference on Healthcare Informatics (ICHI) 2017.
5. Wu Yan, Srini Venkat, and Dah Ming Chiu, Get To the Top and Stay There: A Study of Citation Rank Dynamics in Academia, Proceedings of the 25th International Conference Companion on World Wide Web (BigScholar), 2016.
6. Abhijin Adiga, Srinivasan Venkatramanan, Anil Vullikanti, To delay or not: temporal vaccination games on networks, IEEE INFOCOM 2016.
7. Wu Yan, Srinivasan Venkatramanan and Dah Ming Chiu, Research Collaboration and Topic Trends in Computer Science – An Analysis Based on UCP Authors, SAVE- SD (WWW’15 Companion), Florence, Italy
8. Qiu Fang Ying, Srinivasan Venkatramanan and Dah Ming Chiu, Modeling and Analysis of Scholar Mobility on Scientific Landscape,  BigScholar (WWW’15 Companion), Florence, Italy
9. Srinivasan Venkatramanan, and Anurag Kumar, Competition for Content Spread over Multiple Social Networks, presented at  SCINSE, co-held with COMSNETS’14, Bangalore, India. (Best presentation award) [Slides]
10. Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan, and Anurag Kumar, Competition over Timeline in Social Networks, SNAA, co-held with ASONAM’13, Niagara Falls, Canada. [Slides]
11. Srinivasan Venkatramanan and Anurag Kumar, Co-evolution of Content Popularity and Delivery in Mobile P2P Networks, INFOCOM’12, Orlando,FL. pdf, [Slides]
12. Srinivasan Venkatramanan and Anurag Kumar, Information Dissemination in Socially Aware Networks Under the Linear Threshold Model,  NCC’11,  Bangalore, India. [Slides]

Journals

Technical Reports

1. Wu Yan, Srinivasan Venkatramanan, Dah Ming Chiu, A Population Model for the Academic Ecosystem, arXiv:1503.08312
2. Srinivasan Venkatramanan and Anurag Kumar, Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model, arXiv:1405.7096
3. Srinivasan Venkatramanan and Anurag Kumar, New Insights from an Analysis of Social Influence Networks under the Linear Threshold model, arXiv:1002.1335

Research Talks/Posters

• Influence Dynamics on Social Networks , Thesis Colloquium, Apr. 2014 video
• Delay-Cost Optimal Coupon Delivery in Mobile Opportunistic Networks ,
  1. Indo-US Workshop on Machine Learning, Game theory and Optimization, IISc., 2014
  2. High Dimensional Network Analytics Workshop, Department of CSA, IISc., 2013
• Spread of Content and Interest in Mobile Opportunistic Networks,
  1. Intl. Conference on Networks in Biology, Social Sciences and Engg, IISc. 2012
  2. Department Student Colloquium, ECE, IISc, Dec. 2012
• Information Dissemination in Social Networks under the LT model, Workshop on Recent Trends in Social Networks: Algorithms, Models and Learning, held at TIFR, Mumbai, Jan. 2011
• Influence Spread in Social Networks, poster presented at Techvista organized by Microsoft Research, Bangalore, Jan. 2010.

Other Talks

• How to Give a Technical Talk?, NDSSL Seminar Series, Aug. 2016
• Evolution of Cooperation – Winners Don’t Punish, Game Theory course presentation, IISc, Spring 2010.
• Why SNA? A Network Engineer’s Perspective , survey talk given at the ECE Department, IISc Bangalore, Jan. 2010.

Press Coverage

•  AccuWeather Helps Brands Get Ahead of the Flu with Application of Virginia Tech’s EpiCaster Outbreak Projections, Accuweather Press, Nov 28th 2017
•  Virginia Tech Flu Forecasting Technology to be used by Accuweather  , WSLS, Dec 6th 2017

• Researchers at Virginia Tech’s Biocomplexity Institute work to forecast flu-like weather, Collegiate Times, February 19th, 2018

Miscellaneous Achievements

• Runner up – BDMM2017 Hackathon (Medi-Sieve: Towards Healthcare Fraud Detection), co-held with IEEE BigData 2017, Boston, Dec 2017
• Among top 3 teams (representing Virginia Tech) in NIH/NSF RAPIDD Ebola Forecasting Challenge, Sep-Dec 2015
• 6th out of 225 teams (with Harish Guruprasad) – Event Recommendation Challenge – Kaggle.com, Feb 2013
• Runner up – NTL Robot Challenge – NASA Tournament Lab and Topcoder, June 2012

Mentoring

• Kingsley Nwosu – Undergrad intern (Summer 2017)
  • Project: Computational Methods for Effective Stockpile Allocation during Epidemics
• Asia Taylor – Undergrad intern (Summer 2017)
  • Project: Assessing the resolution of Influenza surveillance datasets in the United States

Responsibilities

• TPC: COMSNETS 2015, COMSNETS 2016
• Reviewer: IEEE TMC, IEEE TIT, Elsevier TCS, PLOS Currents: Outbreaks
• Organizing Committee
  • Indo-French Workshop on New Avenues for Network Models , IISc. 2014
  • ICTS School and Workshop on Network Science in EECS, IISc., 2012
  • Workshop on Introduction to Network Science,  IISc., 2011