Manohar Das, Ph.D.

Manohar Das, Ph.D.
Electrical and Computer Engineering Department
424 EC; (248) 370-2237 ; Fax: (248) 370-4633


Ph.D. (Colorado State University, 1984)

Professional Association

Member of IEEE, Eta Kappa Nu, Sigma Xi.


  • Digital Signal Processing
  • Communication Systems
  • Power Electronics
  • Signals and Systems
  • System Optimization


Adaptive Signal Processing and Control, System Modeling and System Identification, Digital Signal and Image Processing, Data Compression, Pattern Recognition.

Selected Publications

1. Robert N.K. Loh and Manohar K. Das, Nonlinear Unknown‐Input Observer‐Based Systems for
Secure Communication, Advances in Underwater Acoustics, Dr. Andrzej Zak (Ed.), pub. InTech,
2017. DOI: 10.5772/intechopen.69239.

2. Ashraf Mostafa, Manohar Das, A Study of Recursive Techniques for Robust Identification of
Time-Varying Electrical Equivalent Circuit Models of Li-ion Batteries, International Journal of
Handheld Computing Research (IJHCR), Volume 8, Issue 3, pp. 55-74, 2017.

3. Sumera I. Chaudhry and Manohar Das, Design of optimum reference temperature profiles for
energy saving control of indoor temperature in a building, AIMS Energy, Vol. 4, Issue 6,
November 2016, pp. 906-920.

4. Ziyad Kas, Manohar Das, An Electrothermal Model Based Adaptive Control of Resistance
Spot Welding Process, Intelligent Control and Automation, June 2015, pp. 134-146.

5. Arab AlSharif and Manohar Das, A Piecewise Linear Time-Varying Model for Modeling the
Charging and Discharging Processes of a Lithium-Ion Battery, International Journal of Handheld
Computing Research, 5(2), 101-119, June 2014, pp. 101-119.

6. Edward Gu and Manohar Das, “Backstepping Control Design for Vehicle Active Restraint
Systems,” ASME Transactions on Dynamic Systems, Measurements and Control, 2013.

7. Sumera I. Chaudhry and Manohar Das, A Stable Energy Saving Adaptive Control Scheme for
Building Heating and Cooling Systems, Journal of Power and Energy Engineering, April, 2014.

8. Gurunath Kedar-Dongarkar and Manohar Das, “Driver Classification for Optimization of
Energy Usage in a Vehicle,” Proceedings of 2012 Conference on Systems Engineering Research,
St. Louis, Missouri, March, 2012.

9. Jennifer Sloboda and Manohar Das, “A Simple Sleep Stage Identification Technique for
Incorporation in Inexpensive Electronic Sleep Screening Devices,” Proceedings of 2011 IEEE
National Aerospace and Electronics Conference (NAECON 2011), Dayton, Ohio, August 2011.


1. US Patent issued, US 9421634 B2 (Issued on August 23, 2016). Title: System and method for
performing resistance spot welding. Inventors: Manohar Das, Vernon Fernandez, John Paille,
Douglas P Gouin. Original Assignee: FCA, USA.

2. US Patent No. US8445809 B2 (Issued on May 21, 2013). Title: Method and apparatus for
resistance spot welding. Inventors: Vernon Fernandez, Manohar Das, Gerald Grzadzinski.
Original Assignee: FCA, USA.

3. US Patent No. US7244905 B2 (Issued on July 17, 2007). Title:  Method For Estimating
Nugget Diameter And Weld Parameters. Inventors: Manohar Das, Vernon Fernandez, James
Strausbaugh, and Gerald Grzadzinski. Original Assignee: FCA, USA.

4. US Patent No. US6130956 B2 (Issued on October 10, 2000). Title:  Continuous Microbiotal
Recognition Method. Inventors:  Francis M. Butterworth and Manohar Das.

Current Research Projects

  • Modeling of Charging and Discharging Processes of Lithium Ion Batteries. The goal of this project is to develop time-varying transfer function models for Lithium Ion batteries. Such models are useful for real time prediction of charge/discharge time and state of health of a battery.
  • Optimized Adaptive Control of Indoor Temperature in a Building. This goal of this project is to develop both linear and nonlinear adaptive control techniques for designing smart HVAC controllers for a building to significantly minimize its overall energy consumption, while maintaining the thermal comfort of its occupants. Such controllers are optimized to achieve a desired trade-off between cost of HVAC and comfort.
  • Real Time Control of Resistance Spot Welds. The goal of this project is to develop nonlinear adaptive control techniques for resistance spot welding processes based on simplified thermal dynamic models.
  • Predictive Learning Based Powertrain Optimization. The goal of this project is to develop algorithms for driver classification and route attributes estimation that are useful for optimizing the powertrain of a hybrid vehicle. A smart powertrain, if so equipped, is expected to optimize both fuel economy and reduce emissions along a route.

Some Past Research Projects

  • Real Time Monitoring and Control of Resistance Spot Welds
  • Robust Techniques for Information Hiding in Images.
  • Automated Detection and Classification of Water-Borne Microorganisms.
  • Robust Techniques for Engine Misfire Detection.
  • Image Data Compression

Doctoral Dissertations Supervised

  • Adaptive control of Indoor Temperature in a Building, Sumera I. Chaudhry, 2014.
  • A New Hybrid Adaptive Predictive Technique for Data Compression, Radhakrishnan Swaminathan, 2012.
  • Real Time Control of an Adaptive Vehicular Occupant Restraint System Using Intelligent Control Techniques, Mohannad Murad, 2009.
  • New techniques for Image De-noising, Thresholding, Object Detection and their Application to Vision Based Collision Avoidance System, Yixin Chen, 2008.
  • Adaptive Modeling in Lossless Image Compression, Abdul Rahman Itani, 2005.
  • Robust Algorithms for Engine Misfire Detection, Abedulah Alkhateeb, 2004.
  • Identification of Waterborne Microorganisms Using Motion Characteristics, Devendra Bajpai, 2003.
  • High Capacity Information Hiding in Images, Johann Briffa, 2003.
  • A Mixture Modeling Approach to Engine Misfire Detection, Nashat Kamal Abdel Jalil, 2002.
  • Classification of Spot Welds from a Linear Time-Varying Model of the Resistance Signature, Frank Garza, 2001.
  • New Adaptive and Optimal Control Strategies for Active Noise Cancellation in a One-Dimensional Acoustic Duct, Ananth Krishnan, 2001.
  • The Classification and Detection of Anomalies in Digitally Sampled Dynamic Data, Thomas Hunt, 2000.
  • New Multipulse Excitation Method for the Modeling, Coding and Synthesis of Automotive Acoustic Events, Scott Amman, 1997.
  • Techniques for the Detection of Changes in Noisy Signals with Application to Fault Detection in Dynamic Systems, Anthony Cooprider, 1997.
  • Image Restoration and Compression Using Two- Dimensional Predictive Models, Jayraman Anand, 1997.
  • Lossless and Near-Lossless Compression of Digitized Images, Chi-Dar Lin, 1996.
  • Multiresolution Autoregressive Models for Image Compression, Shape Classification, and Texture Synthesis. Chia Che Li, 1995.
  • New Approaches for Control of Slowly Varying Systems, Pradeep Y. Kokate, 1992. (Co-advised with Professor N. K. Loh)
  • Predictive Image Coding Using Two-Dimensional Multiplicative Autoregressive Models, Scott R. Burgett, 1991.
  • Analysis and Classification of Planar Shapes and Textures, Mark J. Paulik, 1989. (Co-advised with Professor N. K. Loh)