SAMAVEDHAM, Lakshminarayanan

Associate Professor

Education

  • PhD (Process Control) University of Alberta, Canada, 1997
  • MS (ChE.), IIT Madras, 1992
  • B.E. (Hons.) (ChE), BITS, Pilani, 1988

Awards and Honours

  • Annual Teaching Excellence Award, NUS (2001-2003, 2008/2009)
  • NUS Outstanding Educator Award (2006)
  • Best Paper Award at CHEMCON for Advances in Process Control (2005)
  • DuPont / Paprican Research Excellence Award (1996)
  • Pan Canadian Petroleum Award (1995)

Research Interests

  • Process and Medical Data Analytics
  • Modeling, Monitoring and Control of Large Scale Systems
  • AI in Engineering Education

Selected Publications

A. Chakraborty, A. Sivaram, S. Lakshminarayanan and V. Venkatasubramanian, Mechanism discovery and model identification using genetic feature extraction and statistical testing, Computers and Chemical Engineering, Accepted April 2020.

Gurpreet Singh, M. Vadera, S. Lakshminarayanan and E.C.H. Lim, “Multi-Class Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine Learning based Approach”, Industrial and Engineering Chemistry Research, 58(26), 11498–11505, (2019).

Gurpreet Singh, S. Lakshminarayanan and E.C.H. Lim, “Determination of Imaging Biomarkers to Decipher Disease Trajectories and Differential Diagnosis of Neurodegenerative Diseases (DIsease TreND)”, Journal of Neuroscience Methods, 305, 105-116, (July 2018).

Venkata Reddy, Y. C. Tan and S. Lakshminarayanan, “A Mechanistic Fault Detection and Isolation Approach Using Kalman Filter to Improve the Security of Cyber Physical Systems”, Journal of Process Control, 68, 160-170, (August 2018).

Vaibhav Maheshwari, Gade P. Rangaiah, Titus Lau Wai Leong and S. Lakshminarayanan, “Application of design of experiments in hemodialysis: Optimal sampling protocol for b2-microglobulin kinetic model”, Chemical Engineering Science, 131, 84-90, (2015).

Naviyn Prabhu Balakrishnan, S. Lakshminarayanan and G.P. Rangaiah, “Personalized Mechanistic Models for Exercise, Meal and Insulin Interventions in Children and Adolescents with Type 1 Diabetes”, Journal of Theoretical Biology, 357, 62-73, (2014).