MS (ChE.),IIT Madras,
B.E. (Hons.) (ChE), BITS, Pilani, 1988.
Ye Myint Hlaing, Min-Sen Chiu, and S. Lakshminarayanan, "Modeling and Control of Multivariable Processes Using Generalized Hammerstein Model", Chemical Engineering Research and Design, Accepted for publication, 2007.
S. Balaji, A. Fuxman,
Rohit Ramachandran, S. Lakshminarayanan and
May Su Tun,
Sukumar Balaji and
Rao Raghuraj, K. and
Paper Award at CHEMCON 2005, New Delhi, India (Advances in Process Control)
NUS Outstanding Educator
Award (May, 2006). (Link)
Please visit my research team at the Informatics and Process Control (IPC) Unit webpage.
Operational Strategies for Novel Reactor Systems
Investigator: Sukumar Balaji
Fugitive methane emissions must be combusted before venting into the atmosphere. For lean methane emissions, catalytic combustion is a preferred method. Almost complete combustion has to be attained in the most cost efficient manner. Effective operation is achieved when the reactor is operated in an auto-thermal mode. The conversion of methane will take place only at high reaction temperature. In such cases, the catalytic reverse flow reactor (CRFR) can be used. The focus of this research will be on devising suitable operational and control strategies for a CRFR. Comparisons will be made with performance obtained with other reactor configurations.
Analysis of Data and Networks
Investigator: Raghuraj Rao
The focus of our research is in developing new methods for classification and modeling of biological data sets. Of particular interest is the development of effective and scalable methods to build robust model based classifiers. In the networks area, our interests lie in both the analysis and synthesis aspects. Characterization of network complexity is also being pursued.
Investigator: Ms.Zhou Ying (ICES)
(Co-supervised by Prof. Raj Srinivasan, NUS/ICES)
Investigator: Sundar Raj, T.
Supply chains have different combinations of demand pattern, product type and business objectives. A suitable control law is necessary to operate the supply chain in a successful manner. Selecting, retuning and restructuring the existing control law or developing the new order policy for the existing combination of demand, product type & objectives is an important approach in benchmarking and troubleshooting of supply chain systems. This work will focus on troubleshooting the existing network in order to enhance its performance through retuning and restructuring.
Sreenivas is working in the area of adaptive fault tolerant control of multivariable systems with particular focus on the control of anesthesia. Efforts are under way in modeling as well as in the development of control algorithms.
May Su Tun
The development of a decision support system for insulin delivery to diabetes patients in a hospital is the prime focus of May Su's research. Model development, parameter estimation and the synthesis of robust control algorithms are some of the areas covered in this research.
For more information, please visit my personal webpage.