Badri NathProfessor

All of Machine Learning is basically dot products

Dr. Badri Nath is a Professor in the Department of Computer Science here at Rutgers University.

  • Office : Core 320
  • Phone : 848-445-8320/848-445-0537
  • Email :
  • Website : htpp:/
  • Education : Ph.D., Univ. of Massachusetts, Amherst
  • Awards : Award papers: ACM SIGMOBILE TEST of TIME AWARD 2016,IEEE INFOCOM TEST of TIME AWARD 2015, VLDB 2002(ten-year best paper award), Excellence in teaching award (2010), HSPR 2003, Best paper award, Professor of the year award 1995.
  • Research Awards: Outstanding Achievement in Research award (2016), UMASS, Amherst

About Badri

His research interests are in the area of machine learning for determining distributed systems health. Current projects explore research issues in adapting ML techniques for inferring health of large scale distributed systems.



Ph.D., Univ. of Massachusetts, Amherst

My primary research interests are in the are of ML models to predict overall health of distributed systems. I am particularly interested in the area of prediction models for distributed systems performance.


Bangalore University



Indian Institute of Science

ME, Computer Science


Current Course: CS 416:Operating Systems (FALL 2020)

See what students have to say about the courses I have taught.

Evaluation for the latest course:

  1. • CS552 Computer Networks (Spring 2018) Student Evaluation (2015)
  2. • CS352 Intro to Internet Technology (Fall 2014) Student Evaluation

Previous year courses:

  1. • CS552 Computer Networks (FALL 2013) Student evaluations
  2. • CS552 Computer Networks (Spring 13) Student Evaluations
  3. • CS352 (Fall 2014) Student Evaluations
  4. • CS352 (Fall 2011) Student Evaluations
  5. • CS552 (Spring 11) Student evaluations
  6. • CS552 (Spring 10) Student evaluations

CS 211, CS 553, CS352, CS552, CS519, CS416,CS111


In the Media

Awards & Distinctions

Recent Papers

  1. Paper to appear in Mobiquitous 2020. "InsideOut: Model to Predict Outside CO Concentrations from Mobile CO Dosimeter Measurements Inside Vehicles", Devarakonda, Srinivas; Chittaranjan, Senthil M ; Kwak, Daehan; Nath, Badri

Current Research

  1. • Learning Distributed state from remote measurements
  2. • ML based techniques for performance inference

Protocols Developed

  1. • APS (DV-hop)
  2. • I_TCP, M-RPC, MRSVP
  3. • Transformer tunnels


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