Sachin C Patwardhan


305, Computer-aided Design Centre (CAD)

Contact Information


  • +91 (22) 2576 7211 (O)
  • +91-22-2572 7200 (O)
  • Fax :+91-22-2572 6895


  • sachinp [at] che [dot] iitb [dot] ac [dot] in

Sachin C Patwardhan

Core Faculty


Download Curriculum Vitae (CV) PDF


  1. B.Tech. Chemical Engineering I.T. B.H.U. 1986

  2. M.Tech. Chemical Engineering I.I.T. Madras 1988

  3. Ph.D. Systems and Control Engineering I.I.T. Bombay 1994

Professional Appointments

  1. Head, Dept. of Chemical Engineering, From Jan. 2011 to Nov., 2013.
  2. Institute Chair Professor in Chemical Engineering, I.I.T. Bombay (2015 to 2018).
  3. Head, Parimal and Pramod Choudhary Centre for Learning and Teaching, I.I.T. Bombay (From Oct., 2017 To May, 2022).
  4. Visiting Research Scholar, Dept. of Chemical Engineering, Carnegie Mellon University, U.S.A., August,2008 to May,2009.
  5. Visiting Professor, Dept. of Chemical and Materials Engineering, University of Alberta, Canada (Dec.,2000 to Nov., 2001)

Awards & Fellowships

  • Fellow, Indian National Institute of Engineering (INAE)

  • S. P. Sukhatme Excellence in Teaching Award for 2021, I.I.T. Bombay.

  • Departmental Excellence in Teaching Award for 2016, I.I.T. Bombay.

  • Indira Manudhane Best Post Graduate Teacher Award in Chemical Engineering, 2004-2005.

  • Manudhane Award for Best Applied Research in Chemical Engineering, 2003.

Controller design for simultaneous saccharification and fermentation: (on-going)

Schematic Representation of Fault Tolerant Nonlinear Model Predictive Control (FTNMPC)

The simultaneous saccharification and fermentation (SSF) approach is an industrially important paradigm for the production of cellulosic ethanol. This study proposes to develop and implement a low cost adaptive model predictive control framework which efficiently manages multi-rate measurements, environmental perturbations and feed-grade transitions.These goals will be achieved by integrating exit gas analysis based sensors (ethanol, O2, CO2) and an online FT-NIR spectroscopy system (for characterizing the hydrolysis products) into the proposed control framework.Identifying the extent to which an instrumented and controlled process would reduce dependency on enzyme costs, as well as facilitate robustness to process fluctuations is one of the main focus of the project. (Sponsors: Dept. of Bio-Technology, Govt. of India)

Development and Evaluation of nonlinear data-driven models suitable for nonlinear model predictive control of a Fluidized Bed Reactor (FBR) in PolyEthylene (PE) manufacturing process (2007-10)

PEM Fuel Cell Experimental Setup: Dynamic Model Validation PEM Fuel Cell Experimental Setup: Servo Control using Nonlinear IMC

This work explored possibility of developing nonlinear data driven block oriented black box models with Wiener / Hammerstein / Wiener - Hammerstein structurefor capturing nonlinear dynamics of a Fluidized Bed Reactor (FBR) system. These models were parametrized using generalized orthonormal basis filter (GOBF). In particular, design procedure was evolved for generating plant friendly input excitation signal to obtain the input-output data such that the identified black box model reveals salient nonlinear features of FBR system. Modeling studies indicated that GOBF-Wiener models were able to capture features of steady state and dynamic nonlinearities satisfactorily. Multiple nonlinear model based framework was also investigated for modeling grade transitions in the FBR system. (Sponsors: Honeywell Technology Solutions Lab, Bangalore)