Mathematics and Computer Science

All Majors & Minors

Akshaye Dhawan

Akshaye Dhawan, Associate Professor of Computer Science, earned a Ph.D. in computer science from Georgia State University. Dr. Dhawan’s primary research interest is in the area of wireless sensor networks and he has written numerous articles on coverage, energy-efficiency and fault tolerance in these networks. His secondary research interest lies in the area of the semantic web and he has co-authored articles with collaborators in medicine and neuroscience applying the semantic web to organize data in these domains. Dr. Dhawan also maintains an active interest in undergraduate education and has received external funding and authored articles on curriculum development. Dr. Dhawan strongly believes in working with undergraduates and has co-authored many articles with his students at Ursinus.

Title

Associate Professor of Computer Science

Department

Mathematics and Computer Science

Degrees

  • B.E., Visvesvaraya Technological University
  • M.S., Ph.D., Georgia State University

Teaching

  • CS 170 Insilico Design
  • CS 371 Data Structures and Algorithms
  • CS 373W Theory of Computation
  • CS 475 Computer Networks

Website

http://webpages.ursinus.edu/adhawan/

Research Interests

  • Wireless Sensor Networks
  • Social Networks
  • Semantic Web
  • Entrepreneurship

Recent Work

(Student co-authors italicized)

Akshaye Dhawan, Michelle Tanco, Nicholas Scoville, “A Distributed Greedy Algorithm for Constructing Connected Dominating Sets in Wireless Sensor Networks”, 3rd International Conference on Sensor Networks (SENSORNETS), Lisbon, Portugal, January, 2014. 

 

Snezana Nikolic, Prabhu Shankar, Sivaram Arabandi, Akshaye Dhawan, Rajshekhar Sunderraman, Sham Navathe, Kunal Malhotra, Rani H. Singh, “ONSTR: The Ontology for Newborn Screening Follow-up and Translational Research”, 4th International Conference on Biomedical Ontology Montreal (ICBO), Qc, Canada.

 

Akshaye Dhawan, Magdalena Parks, “Fault-tolerant Coverage in Dense Wireless Sensor Networks”, 2nd International Conference on Sensor Networks (SENSORNETS), Barcelona, Spain, Febraury, 2013.

 

(Book Chapter) Akshaye Dhawan (2012). Maximum Lifetime Scheduling in Wireless Sensor Networks, Wireless Sensor Networks - Technology and Protocols, Mohammad A. Matin (Ed.), ISBN: 978-953-51-0735-4, InTech.

 

Akshaye Dhawan, “Incorporating the NSF/TCPP Curriculum Recommendations in a Liberal Arts Setting”, EduPar Workshop, 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Shanghai, China, 2012.

 

Akshaye Dhawan, Neal Shukla, Cassandra Chapman, Stephan Hennion, “Fault Tolerant Clustering in Dense Wireless Sensor Networks”, In 2nd International Workshop on Advances in Networking and Computing (WANC’11), Osaka, Japan, November 2011. 


Akshaye Dhawan, Alison L. Nolan, “Designing Reusable User-Interfaces for generating SPARQL queries for a Collection of Neuroscience Ontologies”, In 7th International Symposium on Bioinformatics Research and Applications (ISBRA’11), Changsha, China, May 2011 

 

P.S. Katz, R.J. Calin-Jageman, A. Dhawan, C. Frederick, et. al., “NeuronBank: a tool for cataloging neuronal circuitry”, In Frontiers in Systems Neuroscience, 4:9. doi:10.3389/fnsys.2010.00009