Sasitharan Balasubramaniam
Scholar

Sasitharan Balasubramaniam

Google Scholar ID: 4Fu1VZgAAAAJ
University of Nebraska-Lincoln
Biological AIMolecular CommunicationBio-inspired NetworksInternet of (Bio-Nano) Things
Citations & Impact
All-time
Citations
2,607
 
H-index
26
 
i10-index
62
 
Publications
20
 
Co-authors
37
list available
Contact
Resume (English only)
Academic Achievements
  • Paper 'Insect-Wing Structured Microfluidic System for Reservoir Computing' accepted by Cell Press Device.
  • Received NSF CCF FET EAGER grant for 'Closed-loop Bioelectronic Control of Computing through Bacterial Gene Regulatory Artificial Neural Networks'.
  • Paper 'The Internet of Biofilm Living AI Devices' accepted by IEEE Communications Magazine.
  • Paper 'Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence' accepted by IEEE Intelligent Systems.
  • Paper 'Reconfiguring Gene Regulatory Neural Network Computing for Regulating Biofilm Formation' accepted by IEEE Transactions on Network Science and Engineering.
  • Paper 'Analyzing Wet-Neuromorphic Computing Using Bacterial Gene Regulatory Neural Networks' accepted by IEEE Transactions on Emerging Topics in Computing.
  • Paper 'Nonlinear classifiers for wet-neuromorphic computing using gene regulatory neural network' published in Biophysical Reports.
  • Organized panel on 'Nanonetworking; Quo Vadis?' at IEEE ICC.
  • Latest study 'Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity' featured on Hackster.io.
  • IEEE Network paper featured in IEEE Spectrum.
  • Received CBET NSF US-Ireland R&D partnership funding.
  • Thomas Ramsey received NASA Nebraska Space Grant Fellowship.
  • Jacob Clouse received David A. Klarner Fellowship in Computer Science.
  • Sehee Sun successfully defended her MS thesis titled 'Biocomputing Approach to Modeling and Modulating Calcium Signaling'.
Research Experience
  • Extensive research experience in the field of biocomputing, particularly in wet-neuromorphic computing and gene regulatory neural networks.
Background
  • Research interests include biocomputing, gene regulatory neural networks, and microbiome digital twins. Specializes in bioengineering, computer science, and artificial intelligence.