Dr. Ratna Babu Chinnam

Associate Professor & Graduate Chair
313-577-4846
r_chinnam@wayne.edu

Biography

Dr. Ratna Babu Chinnam received his B.S. degree in Mechanical Engineering from Mangalore University (India) in 1988 and the M.S. and Ph.D. degrees in Industrial Engineering from Texas Tech University (U.S.A.) in 1990 and 1994, respectively. He is currently an Associate Professor in the Industrial & Manufacturing Engineering Department at Wayne State University. Prior to that, he was an Assistant Professor with the Industrial & Manufacturing Engineering Department at North Dakota State University from Fall of 1994 to Summer 2000. He is the author of over 75 technical publications. His publications appeared in such journals as IEEE Trans. on Reliability Engineering, IEEE Trans. on Semiconductor Manufacturing, IEEE Tran. on Neural Networks, and International Journal of Production Research. His research interests include smart engineering systems, intelligent manufacturing, autonomous diagnostics/prognostics, operations management, and supply chain coordination. He is currently the associate editor for the International Journal of Modeling and Simulation and Advisory Board Member for Scientific Journals International. He regularly serves on several international conference planning committees such as IJCNN, FUZZ IEEE, ANNIE, and IASTED’s NIC. His current and past research is funded by such agencies as the National Science Foundation (NSF), NSF EPSCoR, the US Department of Transportation (DoT), and the Michigan Department of Transportation (MDoT). He carried out collaborative research with Ford Motor Company and DaimlerChrysler and consulted for such companies as Sirius Satellite Radio, Energy Conversion Devices, and Tecton. He is a member of Alpha Pi Mu, the Institute for Operations Research and Management Science (INFORMS), and the North American Manufacturing Research Institute (NAMRI)..

Education

B.S. Mechanical Engineering, Manipal Institute of Technology, Mangalore University, India, 1988.
M.S. Industrial Engineering, Texas Tech University, 1990.
Ph.D. Industrial Engineering, Texas Tech University, 1994.

Courses Taught

IE7315: Production Systems
IE7325: Supply Chain Management
IE7410: Agile Systems for the Manufacturing Enterprise
IE7860: Intelligent Engineering Systems
IE8325: Advanced Supply Chain Management
IE8943: Launch Through Sustainability - Part I
IE8944: Launch Through Sustainability - Part II

Research Interests

Supply Chain Management: Supply Chain Management (Modeling & Coordination; Decentralized Decision Making), JIT Logistics, Supply Chain Diagnostics & Prognostics
Manufacturing & Operations: Intelligent Manufacturing, Process Modeling & Optimization, Bottleneck Identification, Throughput Maximization
Diagnostics & Prognostics: Intelligent Maintenance, Autonomous Diagnostics & Prognostics, Condition-Based Maintenance
Smart Engineering Systems: Computational Intelligence, Data Mining, Complex Systems
 .

Research Group

Director, Center for Supply Chain Research
The primary aim of the Supply Chain Research group, started in 2003, is to develop a viable yet comprehensive framework to facilitate “coordination” in supply chains through strategic, tactical, and operational decision support tools and agents. The group aims to develop methods, tools, and algorithms for improved supply chain coordination by bringing together multi-agent systems, computational intelligence, advanced statistical and operations research methods (in particular Graphical Models and stochastic optimization techniques), and game theory (in particular multi-agent reinforcement learning). Collaborations are currently in place with Ford Motor Company and General Motors.
 .
Director, Center for Smart Engineering Systems
The objective of this center is to pursue challenges in the design and development of smart engineering systems for enhancing productivity and enabling highly efficient utilization of resources. In particular, our focus is on manufacturing systems, quality/reliability engineering, and operations management. We meet this objective through effective utilization and extension of knowledge in traditional areas such as operations research and statistics and emerging areas of computational intelligence.
 

Ph.D Graduates:

• Fatih Camci, Process Monitoring, Diagnostics & Prognostics Using SVMs and HMMs, Industrial & Manufacturing Engineering Department, Wayne State University, 2005.
• Mahmoud El-Banna, Dynamic-Resistance based Intelligent Resistance Welding, Industrial & Manufacturing Engineering Department, Wayne State University, 2006.
• Ramakrishna Govindu, Multi-Agent Systems for Supply Chain Modeling: Methodological Frameworks, Industrial & Manufacturing Engineering Department, Wayne State University, 2006.
• Pundarikaksha Baruah, Supply Chains Facing Atypical Demand: Optimal Operational Policies and Benefits Under Information Sharing, Industrial & Manufacturing Engineering Department, Wayne State University, 2006.
• Gangaraju Vanteddu, Strategic Supply Chain Modeling: A Supply Chain Perspective of Cost Efficiency and Responsiveness, Industrial & Manufacturing Engineering Department, Wayne State University, 2004-2008. (Co-Advised by Dr. Yang)
• Ibrahim Dogan, Modeling & Control of Closed-loop Remanufacturing Supply Chains under Non-stationary Demand, Industrial & Manufacturing Engineering Department, Wayne State University, 2003-2008.

Recent Projects

• Abrams AED Whole System Design-for-Reliability (DFR). Co-P.I. for a project funded by General Dynamics Land Systems for $334,300, 2009.
• Future Combat Systems (FCS) Rooftop Deconfliction: Optimization Analysis. Co-P.I. for a project funded by General Dynamics Land Systems for $48,000, 2009.
• Enabling Congestion Avoidance and Reduction in the Michigan-Ohio Transportation Network to Improve Supply Chain Efficiency: Freight ATIS. P.I. for a project funded by U.S. DoT and M-DOT through MI-OH UTC for $153,297, 2008-2009 (Continuation Grant).
• Value of ITS Information for Congestion Avoidance in Intermodal Transportation Systems. Co-P.I. for a project funded by U.S. DoT through OH-MI UTC for $131,840, 2008- 2009 (Continuation Grant).
  
• Reliability, Availability and Maintainability (RAM) Injection into Advanced Collaborative System Optimization Modeler (ACSOM). Co-P.I. for a project funded by General Dynamics Land Systems for $49,000, 2008.
• Enabling Congestion Avoidance and Reduction in the Michigan-Ohio Transportation Network to Improve Supply Chain Efficiency: Freight ATIS. P.I. for a project funded by U.S. DoT through MI-OH UTC for $117,378, 2008 (Continuation Grant).
• Algorithms for Enhancing Fuel Economy in Hybrid Electric Vehicles. P.I. for a project funded by Ford Motor Company, $88,300, 2007-2008.
• Value of ITS Information for Congestion Avoidance in Intermodal Transportation Systems. Co-P.I. for a project funded by U.S. DoT through OH-MI UTC for $132,203, 2007-2008.
• IGERT: Incentive-Centered Design for Information and Communication Systems (STIET). Senior/Affiliated Personnel for a project funded by NSF: IGERT Program for $3,000,000, 2007-2012. (Partnership between Univ. of Michigan and Wayne State University; $800k for WSU with 6 faculty).
• Enabling Congestion Avoidance and Reduction in the Michigan-Ohio Transportation Network to Improve Supply Chain Efficiency: Freight ATIS. P.I. for a project funded by U.S. DoT through MI-OH UTC for $148,949, 2006-2007.
• Autonomous Vibration Diagnostics and Reliability Monitoring. P.I. for a project funded by AMTD of Ford Motor Company for $52,000, 2006.
• Models for Identification and Management of Bottlenecks in Production Facilities. P.I. for a project funded by AMTD of Ford Motor Company for $52,000, 2006.
• Ford EMMP Leadership Research Project. Co-Principal Investigator (at 15%) for a project funded by Ford Motor Company for $394,256, 2006 (My Share: $59,138).
• Visteon EMMP Leadership Research Project. Co- Principal Investigator (at 15%) for a project funded by Visteon Corporation for $321,776, 2006 (My Share: $48,266).
• Ford EMMP Program. Co-Principal Investigator (at 10%) for a project funded by Ford Motor Company for $547,100, 2006 (My Share: $54,710).
• Visteon EMMP Program. Co- Principal Investigator (at 10%) for a project funded by Visteon Corporation for $414,830, 2006 (My Share: $41,483).
• Intelligent Resistance Welding. Principal Investigator for a project funded by Advanced Manufacturing Technology Development (AMTD) group of Ford Motor Company for $75,000, 2004-2005.
• EMMP Leadership Research Project. Co-Principal Investigator (at 20%) for a project funded by Ford Motor Company for $478,233, 2005.
• Visteon Leadership Research Project. Co- Principal Investigator (at 20%) for a project funded by Visteon Corporation for $381,472, 2005.
• Statistical & Computational Intelligence Methods for Prognostics in Condition-Based-Maintenance Systems. Principal Investigator for a project funded by NSF: DMI - Manufacturing Enterprise Systems for $100,000, 2003-2006.
• Diagnostic and Prognostic Algorithms for Condition-Based-Maintenance. Principal investigator for a project funded by Advanced Manufacturing Technology Development (AMTD) group of Ford Motor Company for $65,000, 2003-2004.
• Greenfield Coalition: Operations Management Curriculum Development. Principal investigator for a project funded by NSF’s Greenfield Coalition for $85,000, 2001-2002.P.I. for a project funded by Ford Motor Company for $88,300, 2007-2008.

Publications

Journal Papers:

• F. Camci and R.B. Chinnam, “Health-State Estimation and Prognostics in Machining Processes,” To appear in IEEE Transactions on Automation Science and Engineering (Accepted in October 2009).
• Sathyanarayanamurthy, H. and Chinnam, R.B., "Metamodels for Variable Importance Decomposition with Applications to Probabilistic Engineering Design," To appear in Computers in Industrial Engineering. (Accepted in April 2009).
• Subramoniam, R., Huisingh, D., and Chinnam, R.B., “Remanufacturing for the Automotive Aftermarket – Strategic Factors: Literature Review and Future Research Needs,” Journal of Cleaner Production, Vol. 17, Issue 13, pp. 1163-1174, September 2009.
• McNicol, J., Monplaisir, L., and Chinnam, R.B., “A Framework for Developing a CSCW Environment to Improve Concept-Based Decision Making,” International Journal of Collaborative Enterprise, Vol. 1, No. 1., pp. 39-52, 2009.
• Camci, F. and Chinnam, R.B., "General Support Vector Representation Machine (GSVRM) for Stationary and Non-Stationary Classes," Pattern Recognition, Vol. 41, pp. 3021-3034, 2008.
• Chinnam, R.B. and Baruah, P., "Autonomous Diagnostics and Prognostics through Competitive Learning-Driven HMM-Based Clustering," International Journal of Production Research, Vol. 47, Issue 23, pp. 6739-6758, August 2009.
• Vanteddu, G., Chinnam, R.B., Yang, K., O. Gushikin, "Supply Chain Focus Dependant Safety Stock Placement," International Journal of Flexible Manufacturing Systems, Vol. 19, No 4, pp. 463-485, December, 2007.
• Dogan, I., Yoo, J., Chinnam, R.B., Vanteddu, R., and Jia, Y., "Design and Analysis of Agents for Supply Chain Management: Experiences from the Trading Agent Competition," International Journal of Modeling and Simulation, Vol. 28, No. 4, 2008. 
• Govindu, R. and Chinnam, R.B., "MASCF: A Generic Process-Centered Methodological Framework for the Analysis and Design of Multi-Agent Supply Chain Systems," Computers in Industrial Engineering, Vol. 53, pp. 584-609, 2007.
• Nepal, B., Chinnam, R.B., Petrycia, J., Brush, E., Chisholm, C., Hearn, M., and Meixner, M., “A quality-based business model for determining non-product investment: A case study from a Ford automotive engine plant,” Engineering Management Journal, Vol. 19, No. 3, pp. 31-46, 2007.
• Rai, B., Chinnam, R.B., and Singh, N., “Prediction of Drill-Bit Breakage from Degradation Signals Using Mahalanobis-Taguchi System Analysis,” International Journal of Industrial and Systems Engineering, Vol. 3, No. 2, pp. 134-148, 2008.
• Govindu, R. and Chinnam, R.B., “A Software Agent-Component Based Framework for Multi-Agent Supply Chain Modeling and Simulation,” to appear in International Journal of Modelling and Simulation (Accepted in August 2006; Submitted in August 2006).
• El-Banna, M., Filev, D., and Chinnam, R.B., "Online Nugget Quality Classification using LVQ Neural Network for Resistance Spot Welding," International Journal of Advanced Manufacturing Technology, Vol. 36, No. 3-4, pp. 237-248, 2008.
• Gautam, N., Chinnam, R.B., and Singh, N., “Design Reuse Framework: A Perspective for Lean Development,” Int. J. Product Development, Vol. 4, No. 5, pp. 485-507, 2007.
• Chinnam, R.B. and Baruah, P., "Empirical Prediction Limit Estimation Methods for Feed-Forward Neural Networks," International Journal of General Systems – Intelligent Systems Design, Vol. 36, No. 2, pp. 221-236, April 2007.
• Vanteddu, G., Chinnam, R.B., and Yang, K. "A ‘Performance Comparison Tool’ for a Supply Chain," International Journal of Logistics Systems and Management, Vol. 2, No.4  pp. 342-356, 2006.
• Camci, F., Chinnam, R.B., and R.D. Ellis, "A Robust Kernel-Distance Multivariate Control Chart Using Support Vector Principles," To appear in International Journal of Production Research (Accepted in December 2005; Submitted in August 2005).
• Baruah, P. and Chinnam, R.B., “HMMs for diagnostics and prognostics in machining processes,” International Journal of Production Research, Vol. 43, No. 6, pp. 1275-1293, March 2005. 
• Chinnam, R.B. and Baruah, P., "A Neuro-Fuzzy Approach for On-Line Reliability Estimation and Condition Based-Maintenance Using Degradation Signals," International Journal of Materials and Product Technology, Vol. 20, No. 1-3, pp. 166-179, 2004.
• Yadav, O.P., Singh, N., Chinnam, R.B., and Goel, P.S., "A fuzzy logic based approach to reliability improvement estimation during product development," Reliability Engineering and System Safety, Vol. 80, No. 1, pp. 63-74, 2003.
• Chinnam, R. B., "Support Vector Machines for Recognizing Shifts in Correlated and Other Manufacturing Processes," International Journal of Production Research, Vol. 40, No. 17, pp. 4449-4466, 2002.
• Chinnam, R. B., "On-Line Reliability Estimation for Individual Components Using Statistical Degradation Signal Models," Quality and Reliability Engineering International, Vol. 18, pp. 53-73, 2002.
• Chinnam, R.B. and Mohan, P., "On-Line Reliability Estimation of Physical Systems Using Neural Networks and Wavelets," International Journal of Smart Engineering System Design, Vol. 40, pp. 253-264, 2002.
• Chinnam, R. B. and May, G.S., "Role of Neural Networks and Genetic Algorithms in Developing Intelligent Quality Controllers for On-line Parameter Design," International Journal of Smart Engineering System Design, Vol. 3, pp. 51-64, 2001.
• Chinnam, R. B., Ding, J., and May, G.S., "Intelligent Quality Controllers for On-line Parameter Design," IEEE Transactions on Semiconductor Manufacturing, Vol. 13, No. 4, pp. 481-491, 2000.
• Chinnam, R. B., "On-line Reliability Estimation of Individual Components Using Degradation Signal Models," IEEE Transactions on Reliability, Vol. 48, No. 4, pp. 403-412, 1999.
• Chinnam, R. B. and Ding, J., "Prediction Limit Estimation for Neural Network Models," IEEE Transaction on Neural Networks, Vol. 9, No. 6, pp. 1515-1522, 1998.
• Chinnam, R. B. and Kolarik, W. J., "Neural Networks Based Quality Controllers for Automated Systems," International Journal of Production Research, Vol. 35, No. 9, pp. 2601-2620, 1997.
• Chinnam, R. B., Kolarik, W. J., and Manne, V. C., "Performance Reliability of Tools in Metal Cutting using the Validity Index Neural Network," International Journal of Modeling and Simulation, Vol. 16, Issue 4, 1996.

Book Chapters Published:

• Govindu, R., Chinnam, R.B., and Murat, A., "Manufacturing in Supply Chain," The Handbook of Technology Management, Edited by Hossein Bidgoli, John Wiley & Sons, 2008.
• El-Banna, M., Filev, D., and Chinnam, R.B., "Automotive Manufacturing: Intelligent Resistance Welding," Computational Intelligence in Automotive Applications, Edited by Danil Prokhorov, Springer Berlin / Heidelberg, 2008 (ISBN-13: 978-3-540-79256-7; pp. 219-235).
• Chinnam, R.B. and Rai, B., "Computational Intelligence in Online Reliability Monitoring," Computational Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability, Edited by Gregory Levetin, Springer-Verlag, 2007 (ISBN-13: 978-3-540-37371-1).
• Chinnam, R. B., “Intelligent Quality Controllers for On-Line Parameter Design,” Handbook of Computational Intelligence in Design and Manufacturing, Editors: Jun Wang and Andrew Kusiak, FL: Boca Raton, CRC Press, 2001.
• Chinnam, R. B. and Kolarik, W. J., “Process Monitoring: Variables Control Charts for Grouped Measurements,” Creating Quality: Process Design for Results, William J. Kolarik, Boston: WCB/McGraw-Hill, 1999.
• Chinnam, R. B. and Kolarik, W. J., “Process Monitoring: Variables Control Charts for Individual Measurements and Related Topics,” Creating Quality: Process Design for Results, William J. Kolarik, Boston: WCB/McGraw-Hill, 1999.
• Chinnam, R. B. and Kolarik, W. J., “Process Monitoring: Attributes Control Charts for Classification Measurements,” Creating Quality: Process Design for Results, William J. Kolarik, Boston: WCB/McGraw-Hill, 1999.
• Chinnam, R. B. and Kolarik, W. J., “Variable Control Charts,” Creating Quality: Concepts, Systems, Strategies, and Tools, William J. Kolarik, New York: McGraw-Hill, 1995.
• Chinnam, R. B. and Kolarik, W. J., “Attribute Control Charts,” Creating Quality: Concepts, Systems, Strategies, and Tools, William J. Kolarik, New York: McGraw-Hill, 1995.

Refereed Conference Proceedings Papers:

• Guner, A., Murat, A., and Chinnam, R.B., "Dynamic Routing Using Real-time ITS Information," Proc. Third International Workshop on Intelligent Vehicle Controls & Intelligent Transportation Systems - IVC & ITS, July 4-5, Milan, Italy, 2009.
• Kumar, A., Tseng, F., Guo, Y., and Chinnam, R.B., “Hidden-Markov Model Based Sequential Clustering for Autonomous Diagnostics,” Proc. of International Joint Conference on Neural Networks, Hong Kong, June 1-6, 2008.
• Baruah, P. , Chinnam, R.B., and D. Filev, “An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance,” Proc. of International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006.
• Camci, F.  and Chinnam, R.B., “Hierarchical HMMs for Autonomous Diagnostics and Prognostics,” Proc. of International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006.
• El-Banna, M. , D. Filev, and Chinnam, R.B., “Intelligent Constant Current Control for Resistance Spot Welding,” Proc. of IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada, July 16-21, 2006.
• Baruah, P.  and Chinnam, R.B., “Impact of Early Forecast Information Sharing on Manufacturers with Capacity Uncertainty” Proc. of ILS'06: The International Conference on Information Systems, Logistics, and Supply Chain, Lyon, France, May 15-17, 2006.
• Baruah, P.  and Chinnam, R.B., “The Value of Early Forecast Information Sharing for a Manufacturer of Seasonal Goods in a Two-player Supply Chain,” Proc. of CORS / Optimization Days 2006 - Joint Conference, Montreal, May 8-10, 2006.
• El-Banna, M. , D. Filev, and Chinnam, R.B., “Mahalanobis Taguchi System for Feature Extraction and Nugget Quality Classification in Resistance Spot Welding,” Proc. of Sheet Metal Welding Conference XII, Livonia, Michigan, May 9-12, 2006.
• Camci, F. and Chinnam, R.B., “Dynamic Bayesian Networks for Machine Diagnostics: Hierarchical Hidden Markov Models vs. Competitive Learning,” Proc. of IJCNN'05 International Joint Conference on Neural Networks, Montreal, Canada, July 31-August 4, 2005.
• Nepal, B. and Chinnam, R.B., “A Process Capability based Framework for Determining Non-Product Investment at Ford Motor Company,” Proc. of PICMET’05 Portland International Conference on Management of Engineering and Technology, Portland, Oregon, July 31 - August 4, 2005.
• Camci, F. and Chinnam, R.B., “Health-State Estimation and Diagnostics in Machining Systems using Hidden Markov Model Committees,” Proc. of 15th International Conference on Flexible Automation Intelligent Manufacturing, Bilbao, Spain, July 18-20, 2005.
• Camci, F. and Chinnam, R.B., “Non-stationary Data Domain Description using Weighted Support Vector Novelty Detector,” Proc. of IJCNN'04 International Joint Conference on Neural Networks, Budapest, Hungary, July 25-29, pp. 723-728, 2004.
• Baruah, P. and Chinnam, R.B., “A Weighted-PCA Based Feature Selection Algorithm for Intelligent Monitoring,” Proc. of 14th International Conference on Flexible Automation Intelligent Manufacturing, Toronto, Canada, July 12-14, 2004.
• R.B. Chinnam, B.K. Rai, and N. Singh, "Tool-Condition Monitoring from Degradation Signals using Mahalanobis-Taguchi System Analysis," Robust Engineering: ASI’s 20th Annual Symposium, pg. 343-351, Novi, MI, U.S.A, 2004.
• Camci, F. and Chinnam, R.B., “On-line Novelty Detection for Non-Stationary Classes using a Modified Support Vector Machine,” Proc. of Neural Networks and Computational Intelligence (NCI 2004), Grindelwald, Switzerland, February 23-25, 2004.
• Baruah, P. and Chinnam, R.B., “An Adaptive Clustering Algorithm for Autonomous Agents,” Proc. of Neural Networks and Computational Intelligence (NCI 2004), Grindelwald, Switzerland, February 23-25, 2004.
• Chinnam, R.B. and Baruah, P., “Autonomous Diagnostics and Prognostics through Competitive Learning Driven HMM-Based Clustering,” Proc. of IJCNN'03 International Joint Conference on Neural Networks, Portland, OR, July 20-24, 2003.
• Wang-Chavez, J., Chinnam, R.B., Sathyanarayanamurthy, H., and Nguyen, J., “Integrating Real World Experience in Designing Operations Management Course,” Proc. of 2003 ASEE Annual Conference & Exposition, Nashville, Tennessee, June 22-25, 2003.
• Baruah, P. and Chinnam, R.B., “HMMs for Diagnostics and Prognostics in Machining Processes,” Proc. of the 57th Society for Machine Failure Prevention Technology Conference, Virginia Beach, VA, April 14-18, 2003.
• Baruah, P., Murthy, S., and Chinnam, R.B., "A Neuro-Fuzzy Approach for On-line Reliability Estimation and Condition-Based-Maintenance using Degradation Signals." Proc. of 8th ISSAT Conference on Reliability and Quality in Design, Anaheim, CA, August 6-9, 2002.
• Chinnam, R.B. and Baruah, P., "Empirical Prediction Limit Estimation Methods for Feed-forward Neural Networks." Proc. of IJCNN'02 International Joint Conference on Neural Networks, Honolulu, HI, May 12-17, pp. 535-540, 2002.
• Chinnam, R.B., Kumar. V., and Wasserman, G.S., "Forecasting Warranty Claims: A Comparison of SVMs with Statistical Methods and Neural Networks." Proc. of ANNIE '01 Artificial Neural Networks in Engineering, St. Louis, MI, November 4-7, 2001.
• Chinnam, R.B. and Kumar. V., "Using SVMs to Recognize Shifts and Trends in Correlated and Other Manufacturing Processes." Proc. of ANNIE '01 Artificial Neural Networks in Engineering, St. Louis, MI, November 4-7, pp. 2276-2281, 2001.
• Chinnam, R.B. and Kumar. V., "Using Support Vector Machines to Recognize Shifts and Trends in Correlated Manufacturing Processes," Proc. of IJCNN'01 International Joint Conference on Neural Networks, Washington, D.C., July 15-19, 2001.
• Chinnam, R.B. and Mohan, P., "On-Line Reliability Estimation Of Physical Systems Using Neural Networks And Wavelets," Proc. of ANNIE '00 Artificial Neural Networks in Engineering, St. Louis, MI, November 5-8, pp. 605-610, 2000.
• Hiebert, S. and Chinnam, R.B., "Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems," Proc. of IJCNN ‘00 International Joint Conference on Neural Networks, Como, Italy, July 24-27, pp. 369-374, 2000.
• Chinnam, R.B., Qiao, H., and Fu, X., "On-line Parameter Design of Dynamic Systems Modeled Using Recurrent Multilayer Perceptron Networks," Proc. of ANNIE '99 Artificial Neural Networks in Engineering, St. Louis, MI, November 7-10, pp. 697-702, 1999.
• Kellogg, K., Kallmeyer, A., Dutta, P.K., Chinnam, R.B., "Influence of Moisture and Low Temperature on Notched Izod Impact Toughness in a Pultruded Reinforced Composite," Proc. of ISOPE-99 International Offshore and Polar Engineering Conference, Brest, France, May 30-June 4, pp. 270-275, 1999.
• Chinnam, R.B. and Hiebert S., "On-line Reliability Estimation of Individual Components Using Neural Networks and Wavelets," Proc. of ANNIE '98 Artificial Neural Networks in Engineering, St. Louis, MI, November 1-4, pp. 761-766, 1998.
• Chinnam, R.B. and Ding, J., "Intelligent Quality Controllers for On-line Parameter Design," Proc. of ANNIE '98 Artificial Neural Networks in Engineering, St. Louis, MI, November 1-4, pp. 831-836, 1998.
• Chinnam, R.B., Hiebert S., and Ding, J., "On-line Performance Reliability Estimation Techniques and Issues," Proc. of the7th IERC, May 9-10, Banff, Alberta, Canada, 1998.
• Chinnam, R. B. and Ding, J., "Confidence Limit Estimation for Neural Network Models," Proc. of ANNIE '97 Artificial Neural Networks in Engineering, St. Louis, MI, November 9-12, pp. 159-164, 1997.
• Chinnam, R. B., "Performance Reliability Monitoring of Physical Systems Using Artificial Neural Networks," Proc. of the 6th IERC, Miami Beach, FL, May 17-18, pp. 471-476, 1997.
• Chinnam, R. B. and Shrikhande, N., "Reliability Prediction Using Temporal Processing and Self Organizing Feature Maps," Proc. of ANNIE '96 Artificial Neural Networks in Engineering, St. Louis, MI, November 12-15, 1996.
• Chinnam, R. B., "Performance Reliability Prediction: Estimating Confidence Intervals for FFNS using Self-Organizing Feature Maps," Proc. of ANNIE '96 Artificial Neural Networks in Engineering, St. Louis, MI, November 12-15, pp. 897-902, 1996.
• Chinnam, R. B., "Neural Networks for Performance Reliability Prediction," Proc. of ANNIE '95 Artificial Neural Networks in Engineering, St. Louis, MI, November 12-15, pp. 917-922, 1995.
• Kolarik, W. J. and Chinnam, R. B., "Quality Control in Advanced Manufacturing Processes," Proc. of the 48th AQC, Las Vegas, NV, May 24-26, pp. 430-435, 1994.
• Chinnam, R. B., Kolarik, W. J., and Manne, V. C., "Performance Reliability Prediction using the Validity Index Neural Network," Proc. of the ISSAT Intnl. Conf. on Reliability and Quality in Design, Seattle, WA, March 16-18, 1994.
• Chinnam, R. B. and Kolarik, W. J., "Simulation Test-Bed for Testing Effectiveness of Quality Control Strategies and Experimental Designs," Proc. of the 2nd IERC, Los Angeles, CA, May 26-27, pp. 639-644, 1993.
• Chinnam, R. B. and Kolarik, W. J., "Automation and the Total Quality Paradigm," Proc. of the 1st IERC, Chicago, IL, May 20-21, 1992.
• Ayoub, M. M., Simon, H. M., and Chinnam, R. B., "Biomechanical Simulation of Lifting," Proc. of the 11th Congress of International Ergonomic Association, Miami, FL, 1991.

Professional Memberships

• Member, Institute for Operations Research & Management Science
• Member, North American Manufacturing Research Institute
• Member, Alpha Pi Mu

Research Interests

Supply Chain Management: Supply Chain Management (Modeling & Coordination; Decentralized Decision Making), JIT Logistics, Supply Chain Diagnostics & Prognostics
Manufacturing & Operations: Intelligent Manufacturing, Process Modeling & Optimization, Bottleneck Identification, Throughput Maximization
Diagnostics & Prognostics: Intelligent Maintenance, Autonomous Diagnostics & Prognostics, Condition-Based Maintenance
Smart Engineering Systems: Computational Intelligence, Data Mining, Complex Systems
 .

Academic/professional activities

Editorial Board Memberships:

• Associate Editor, International Journal of Modeling and Simulation, Fall 2000 – Present.
• Advisory Board Member, Scientific Journals International, Fall 2006 – Present.

Reviewership: Journals

• Computers & Industrial Engineering
• Computers and Operations Research
• European Journal of Operations Research
• IEEE Transactions on Automation Science and Engineering
• IEEE Transactions on Fuzzy Systems
• IEEE Transactions on Neural Networks
• IEEE Transactions on Systems, Man and Cybernetics – Part A
• IIE Transactions
• International Journal of Machine Tools and Manufacture
• International Journal of Modeling and Simulation           
• International Journal of Production Research
• International Journal of Smart Engineering System Design
• Journal of Machining Science and Technology
• OMEGA

Reviewership: Conference Proceedings

• International Joint Conference on Neural Networks, 2002-Present.
• Artificial Neural Networks in Engineering Conference, 1995-Present.
• International Conference on Neural Networks and Computational Intelligence, 2003-Present.
• Industrial Engineering Research Conference, 1994-2000.

Conference Planning Committees:

• 2nd IASTED International Conference on Neural Networks and Computational Intelligence (NCI-2004), Grindelwald, Switzerland, February 23-25, 2004.
• IASTED International Conference on Neural Networks and Computational Intelligence (NCI-2003), Cancun, Mexico, May 19-21, 2003.
• International Joint Conference on Neural Networks '03, Portland, Oregon, July 20-24, 2003.
• International Joint Conference on Neural Networks '02, Honolulu, Hawaii, May 12-17, 2002.
• Artificial Neural Networks in Engineering Conferences, St. Louis, Missouri, 1998-Present (Annual Conference).
• 58th Annual ASEE North Midwest Conference, North Dakota State University, Fargo, North Dakota, October 3-5, 1996.

Other Professional Experience

• Faculty Consultant, Chrysler Corporation, Summer(s) 2007-2008.
• Faculty Consultant, DaimlerChrysler Corporation, Summer(s) 2001-2006.
• Consultant, Sirius Satellite Radio, 2005.
• Corporate Consultant, Energy Conversion Devices, Rochester Hills, MI, 2003.
• Corporate Consultant, Tecton Products, Fargo, ND, 1998-2000.

Awards and Honors

Awards:

• Best Paper Award, American Society for Engineering Management, 2008.
  Nepal, B., Chinnam, R.B., Petrycia, J., Brush, E., Chisholm, C., Hearn, M., and Meixner, M., “A quality-based business model for determining non-product investment: A case study from a Ford automotive engine plant,” Engineering Management Journal, Vol. 19, No. 3, pp. 31-46, 2007.
• Outstanding Faculty Award, Engineering Student Faculty Board, Wayne State University, 2005.
• Outstanding Faculty Service Award, College of Engineering, Wayne State University, 2003.
• Finalist, Best Paper Award, ANNIE Conference, St. Louis, Missouri, 2000. Paper was later invited and published in International Journal of Smart Engineering System Design.
• Preferred Professor, Mortar Board Honor Society, North Dakota State University, 1999.
• Runner Up, Researcher of the Year Award, College of Engineering and Architecture, North Dakota State University, 1999.
• Finalist, Best Novel Engineering Application Paper, ANNIE Conference, St. Louis, Missouri, 1997. Paper was later invited and published in International Journal of Smart Engineering System Design.
• Nominee, Most Outstanding Graduate Student, Texas Tech University, 1994.
• Merit Scholarship, Texas Tech University, 1989-1990.
• Outstanding Academic Performance Award, T.M.A. Pai Foundation, 1988.
• General Proficiency Award, Manipal Institute of Technology, 1985, 1986, and 1987.
• Sri Sudhakara Reddy Memorial Award for Best Mechanical Engineering Student of the Year, 1986.

Biographical Citations:

• Listed in Marquis Who’s Who in the World, 2004.
• Listed in AcademicKey's Who's Who in Engineering Education, 2002.
• Listed in Marquis Who's Who in Science and Engineering, 1997