Newcastle University in Singapore

Staff Profile

Dr Pavan Kumar Naraharisetti

Assistant Professor



Google Scholar


2005-19, Scientist (and other positions) at the Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research (A*STAR), Singapore.

2004-05, Research Assistant at the Singapore-MIT Alliance


2009-15, Ph. D (Chem. Eng), National University of Singapore, Singapore,  (via the Scientific Staff Development Award 2009-14, A*STAR, Singapore)

2001-03, M. Eng (Chem. Eng), National University of Singapore, Singapore.

1997-2001, B. Tech (Chem. Eng), Regional Engineering College, Warangal, India. It is currently called National Institute of Technology, Warangal (NITW).


I broadly work within the theme of SCEED: Sustainable ChemicalsEnergy Ecosystem Design. 

I have experience in the following topics:

1. Data Analytics / Simulation / Automation using Python/Matlab and others

2. Process Design/Systems Analysis for Sustainable Development

3. Techno-Economic Evaluation/Process Economics & Optimization

4. Mathematical Modelling (Mixed-Integer Linear Programming, Mass/Energy Balance and Thermodynamic Models, Models for Cost Estimation)

5. Development of Genetic/Evolutionary/Hybrid Algorithms for Multi-Objective/Multi-Modal Optimization

Inquiries from potential Ph.D/M.Phil candidates (Singapore Residents only) on the theme of SCEED, Circular Economy or related topics are welcome.


PG Teaching

NUS8101: Yr2019-20        Environmental Impact, Legislation and Engineering in Process Safety (50%)

NUS8106: Yr2019-20        Hazard Identification and Quantitative Risk Assessment (40%)

NUS8108: Yr2019-20        Process Control (100%)

UG Teaching

CHE2021: Yr2018-19       Process Measurement, Dynamics & Control (60%)

CHE2032: Yr2018-19        Chemical Process Optimization (60%)

CHE1011: Yr2019-20        Engineering Mathematics I (100%)

CHE1021: Yr2019-20        Engineering Mathematics II (100%)

CHE2017: Yr2019-20        Computing and Simulation (2 x 80%)

CHE2032: Yr2019-20        Chemical Process Optimization (100%)