Collaborative Support Faculty

Ganesh Baliga

Professor
Computer Science
baliga@rowan.edu
Website

Education

B. Tech. (Computer Science and Engineering), Indian Institute of Technology, Bombay
M. Tech. (Computer Science and Engineering), Indian Institute of Technology, Bombay
MS (Computer and Information Sciences), University of Delaware
PhD (Computer and Information Sciences), University of Delaware

Research Expertise

Data Analytics | Machine Learning | Algorithm Design and Analysis

My research focus is on the design of algorithms and software systems for machine learning and data analytics. I have published over 15 papers in machine learning in international conferences and journals. Presently, I am the Technical Lead and co-PI of the Perka First Data-Rowan CS Lab, an innovative industry academia collaboration where Perka engineers work closely with faculty and students to develop active production software. At present I am establishing a lab with a focus on data analytics using deep neural networks. I am the co-PI of a grant from the National Science Foundation to develop materials for an undergraduate curriculum for algorithms design and NP-Completeness. Over the past four years, I have served as co-PI in projects funded by Bristol-Myers Squibb and Mission Solutions Engineering and have been involved in nine external grants and contracts exceeding $750,000.

Honors and Awards

Co-PI and Technical Lead, Perka First Data – Rowan CS Lab, May 2015-May 2017, $420,000
Co-PI, Learning Algorithm Design: A project-based curriculum, National Science Foundation, May 2012-May 2016, $143,690
Co-PI and Technical Lead, Mission Solutions Engineering Lab, October 2012-March 2014, $140,000

MembeRships

ACM

Recent Publications

  1. Lobo AF, Baliga GR. A Project-Based Curriculum for Algorithm Design and Intractability Centered on the Traveling Salesperson Problem. Journal of Computing Sciences in Colleges. 2014 29(6): 108-114.
  2. Lobo AF, Baliga GR. Teaching algorithm design and intractability with a project-based curriculum centered on a single intractable problem: Three domains to choose from. Proceedings of the 45th ACM Technical Symposium on Computer Science Education. 2014:741-741.
  3. Lobo AF, Baliga GR. Developing a project-based curriculum for the design and analysis of algorithms for intractable problems. Journal of Computing Sciences in Colleges. 2012 27(6): 68-69.

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