Biography

Dr. Ganesh Baliga received his B. Tech. and M. Tech. (Computer Science and Engineering) at the Indian Institute of Technology, Bombay, and received both his M.S and Ph.D. in Computer and Information Sciences at University of Delaware. His research interests include; Machine Learning, Artificial intelligence, Theoretical Computer Science, Algorithm design, Genetic algorithms, Computational Intractability, Approximation algorithms, Object Oriented software design and development, and Mobile and Distributed computing.

He has taught the following courses at Rowan: Design and Analysis of Algorithms, Object Oriented Design, Advanced Object Oriented Design (graduate), CS Senior Project, Foundations of Computer Science, Data Structures and Algorithms, Operating Systems, Data Communications & Networking, Computer Science & Programming, and Introduction to Programming.

Education:
B.Tech. and M.Tech., Computer Science and Engineering, Indian Institute of Technology,
Bombay
M.S. and Ph.D., Computer and Information Sciences, University of Delaware

Research Interests:
Digital Health | Machine Learning | Virtual Reality | Algorithm Design and Analysis | Cloud
Computing

My research in digital neuropsychological assessment has demonstrated that well-established
neuropsychological tests when augmented with digitally obtained parameters such as patient
response latencies are sensitive in flagging the early onset of neurocognitive disorders such as
Mild Cognitive Impairment (MCI). My research goals include the assessment of neurocognitive
impact of long-haul COVID and virtual reality-based neuropsychological testing.

Member of:
ACM

Recent Academic Projects:
Co-PI, Perka Lab. Sponsored by Perka Inc., May 2015 – May 2018.
Co-PI, NSF TUES grant: “Learning algorithm design: A project based curriculum” May 2012 – April 2017.

Recent Grants:
1. Co-PI, “Mechanisms for and Impact of the Neuropsychological SARS-CoV-2/ COVID-19
'Long-Haul' Syndrome”, Osteopathic Heritage Foundation grant, August 2021.
2. PI, “Early Dementia Detection”, New Jersey Health Foundation Innovation Grant, April
2019 – August 2020.

Recent Publications:

• 1. Libon D.J., Baliga G., Swenson R. and Au R., Digital Neuropsychological Assessment: New
  Technology for Measuring Subtle Neuropsychological Behavior, Journal of Alzheimer’s
  Disease, vol. 82(1), p.1-4, 2021. https://doi.org/10.3233/JAD-210513
  2. Emrani S., Lamar M., Price C.C., Baliga S., Wasserman V., Matusz E., Saunders J., Gietka
  V., Swenson R., Baliga G. and Libon D.J., Neurocognitive constructs underlying executive
  control in statistically-determined Mild Cognitive Impairment, Journal of Alzheimer’s
  Disease, vol. 82(1), p.5-16, 2021. https://doi.org/10.3233/JAD-201125
  3. Emrani S., Lamar M., Price C.C., Baliga S. Wasserman V., Matusz E., Swenson R., Baliga
  G. and Libon D.J., Assessing the capacity for mental manipulation in patients with
  statistically-determined mild cognitive impairment using digital technology, special issue on
  Digital Biomarkers: The New Frontier for Medicine and Research, Explorations in Medicine,
  vol 2, p.86-97, 2021. https://doi.org/10.37349/emed.2021.00034
  4. Emrani S., Lamar M., Price C.C., Baliga S., Wasserman V., Matusz E.F., Strate J., Swenson
  R., Baliga G. and Libon D.J., Defining the neurocognitive constructs underlying the model of
  executive attention with time-based and error data in patients with Mild Cognitive
  Impairment. In L. Thompson (ed). Novel neuropsychological approaches for assessing cognitive decline in the early stages of the Alzheimer’s disease continuum. Symposium
  presentation at the 49th annual meeting of the International Neuropsychological Society, San
  Diego, CA, Feb. 2021
  5. Emrani S., Baliga S., Lamar M., Price C.C., Au R., Wasserman V., Matusz E., Swenson R.,
  Baliga G. and Libon D.J., Working memory and mild cognitive impairment: Digital intraresponse latency, subcortical nuclei, and neuropsychological test performance. In Using
  Digital Technology to Drive Clinical Innovation in Brain-Behavior Relationships: A New
  Era in Neuropsychology (Welsh-Bohmer, K. and Atkins, A., Eds), podium presentation at
  Alzheimer's Association International Conference, Amsterdam, Netherlands, 2020.
  https://doi.org/10.1002/alz.038141
  6. Emrani S., Lamar M., Price C.C., Wasserman V., Matusz E., Swenson R., Au R., Bondi
  M.W., Edmonds E.C., Delano-Wood L., Bangen K.J., Baliga S., Baliga G., and Libon D.L.
  (2020). The thalamus and mental manipulation in patients with statistically-determined mild
  cognitive impairment: A potential neurocognitive biomarker. Refereed poster abstract
  presented at the 48th annual meeting of the International Neuropsychological Society, Feb.
  2020.

Website: http://elvis.rowan.edu/~baliga/