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College of Engineering
Ratna Babu Chinnam

Ratna Babu Chinnam

Professor, Chair, and Founding Director, Industrial and Systems Engineering

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Ratna Babu Chinnam

Biography

Dr. Ratna Babu Chinnam is an expert in AI, Big Data & Business Analytics and is a Professor and Chair of the Industrial & Systems Engineering Department at Wayne State University. He is the author of over 150 technical publications (journal articles, conference proceedings, and research reports). His research interests include business analytics, big data, operations management, supply chain management, sustainability, healthcare, and smart engineering systems. He is currently the Associate Editor for the International Journal of Modeling and Simulation, the International Journal of Quality, Statistics, and Reliability, and the North American Editor for the Journal of Remanufacturing. His past research is funded by the U.S. NSF, DoT, DoD, DoE, DoEd, and VA. He carried out collaborative research with such multi-national companies as Ford Motor Company, General Dynamics, Intel, Goodyear, and consulted for such companies as Chrysler, Sirius Satellite Radio, Energy Conversion Devices, Dominos, CapGemini, Faurecia, Whirlpool, Steelcase, MRF Tyres, Magna International, DataFactZ, and Tecton. He was appointed to the Army Science and Technology Roundtable Committee as part of the National Academy of Sciences, Engineering & Medicine during 2023-24. He graduated some 60 doctoral students with many occupying academic positions and is awarded the 2012 Outstanding Graduate Mentor Award by Wayne State University. In 2022, he received an Outstanding Professor Award from the Industrial Engineering & Operations Management Society. He is a Founding Director for the IndustryX: Center for Operational Excellence and AI, Big Data, & Business Analytics organizations at Wayne State University. He is also the founding Director of the Global Executive PhD Track at Wayne State, the first such engineering PhD program in the U.S. He previously led the Business Analytics Spoke for the NSF's Midwest Big Data Hub. He is also the Founding Director for the novel Data Science & Business Analytics MS Degree at Wayne State. His students have won a number of best paper awards from national and international conferences, journals, and professional societies, including the 2013 INFORMS Transportation Science and Logistics Society's Best Dissertation Prize (awarded to Farshid Azadian), the 2014 INFORMS ENRE Best Student Paper Award (awarded to Mahyar Nejad), the 2014 POMS College of Sustainable Operations Best Student Paper Runner-Up Award (awarded to Mahyar Nejad), the IISE Pritsker Doctoral Dissertation Award (awarded to Mahyar Nejad), and the 2017 INFORMS Service Science Best Student Paper Award (awarded to Seung-Yup Lee). He received his B.S. degree in Mechanical Engineering from Manipal Institute of Technology of 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.

Academic History:

Advisor to private enterprises:

  • Strategic Advisor & Mentor, Kyyba Xcelerator, 2017 - Present
  • Chief Analytics Advisor, DataFactZ, 2015 – 2020
  • Data Science Strategy & Solutions Advisor, DIWO, 2015 – 2020

Courses taught

IE7860: Intelligent Analytics (Includes Deep Learning)
IE8943: Launch Through Sustainability: Products & Services - Part I
IE8944: Launch Through Sustainability: Products & Services - Part II

Research projects

  • A Transfer Learning Framework to Predict Degradation in Heterogenous Hydro-Fleets: Collective Learning Across Different Sites, Operating Regimes, Designs, and OEMs. Co-P.I. for a grant funded by the Department of Energy for $600,000 ($225k for ANL, $175k for NREL, and $200k for WSU), 2024-2026 (WSU P.I. Dr. Yildirim).
  • Dealer Performance Analytics: Closing the Learning Loop. P.I. for a project funded by Urban Science for $80,000, 2024.
  • Combat Vehicle Programs: Product Development (PD) Resilience through Set-Based Design Application. Co-P.I. (33% share) for a grant funded by Army Small Business Innovation Research (SBIR) Phase-II Sequential Program for $1,900,000, 2023-2025.
  • Dealer Performance Analytics: Closing the Learning Loop. P.I. for a project funded by Urban Science for $80,000, 2023.
  • Dealer Performance Analytics: Closing the Learning Loop. P.I. for a project funded by Urban Science for $120,000, 2022.
  • Combat Vehicle Programs: Product Development (PD) Resilience through Set-Based Design Application. Co-P.I. (50% share) for a grant funded by Army Small Business Innovation Research (SBIR - Phase II) Program for $1,094,041, 2020-2022 (P.I. Dr. Murat).
  • An Adaptive Monitoring Framework for Connected Vehicles in Dynamic Operational Conditions. P.I. for a URP project funded by Ford Motor Company for $50,000, 2021-2023.
  • Dealer Performance Analytics: Closing the Learning Loop. P.I. for a project funded by Urban Science for $120,000, 2021.
  • Semi-Automated Production and Human Resource Planning Project. Co-P.I. (25% share) for a project funded by TRQSS for $60,000, 2021 (P.I.: Dr. Dalkiran).
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a continuation project funded by Urban Science for $54,000, 2019.
  • Combat Vehicle Programs: Product Development (PD) Resilience through Set-Based Design Application. Co-P.I. (50% share) for a grant funded by Army Small Business Innovation Research (SBIR - Phase I) Program for $115,000, 2019-2020 (P.I. Dr. Murat).
  • Product Content & Assortment Optimization. P.I. for a project funded by Ford Motor Company for $60,000, 2018-2019.
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a continuation project funded by Urban Science for $54,000, 2018.
  • Charging Station Network Designed for Electrified Vehicles in Urban Communities: Reducing Congestion, Emissions, Improving Accessibility, and Promoting Walking, Bicycling, and use of Public Transportation. Co-P.I. (25% share) for a grant funded by U.S. DoT through the TRCLC UTC at Central Michigan University for $119,987 ($79,990 external), 2017-2018 (P.I. Dr. Venkatachalam).
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a continuation project funded by Urban Science for $54,000, 2017.
  • Automation of Prescriptive Analytics for the Retail Industry using SPARK. P.I. for a continuation project funded by Loven Systems $40,000, 2017.
  • Near Real-Time Decision Support System (NRT-DSS) Services. Continuation Grant. Co-P.I. (25% share) for a grant funded by Veterans Administration for $159,500, 2016-2017 (P.I. Dr. Murat).
  • BD Hubs: MIDWEST: SEEDCorn: Sustainable Enabling Environment for Data Collaboration. Senior Personnel and Spoke Lead for a project funded by NSF IIS Program for $1,499,999 (NSF Award #:1550320), 10/01/2015-9/30/2018. (P.I. Edward Seidel, University of Illinois at Urbana-Champaign).
  • Community-Aware Charging Station Network Design for Electrified Vehicles in Urban Areas: Reducing Congestion, Emissions, Improving Accessibility, and Promoting Walking, Bicycling, and use of Public Transportation. P.I. (50% share) for a grant funded by U.S. DoT through the TRCLC UTC at Central Michigan University for $129,975 ($79,956 external), 2015-2016.
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a continuation project funded by Urban Science for $54,000, 2016.
  • Automation of Prescriptive Analytics for the Retail Industry using SPARK. P.I. for a project funded by Loven Systems $40,000, 2016.
  • Near Real-Time Decision Support System (NRT-DSS). Co-P.I. (25% share) for a grant funded by Veterans Administration for $156,250, 2015 (P.I. Dr. Murat).
  • Design of Real-time Recommendation Systems for Chained Stores using SPARK. P.I. for a project funded by Loven Systems $40,000, 2015.
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a continuation project funded by Urban Science for $54,000, 2015.
  • Product Assortment Optimization Models. P.I. for a project funded by Ford Motor Company for $55,000, 2015.
  • Improving Emergency Department Patient Flow: Through Increased Accuracy and Visibility of Bed Supply and Demand at VHA. Co-P.I. (25% share) for a continuation project funded by the Veterans Administration for $25,000, Fall 2014 (P.I. Dr. Dalkiran).
  • Supply/Demand Alignment Toolkit: Comprehensive Performance Monitoring and Management. P.I. for a continuation project funded by the Veterans Administration for $47,500, Fall 2014.
  • Planning Grant: I/UCRC for Excellence in Logistics and Distribution. Co-P.I. for a planning grant proposal to setup a CELDi (Center for Excellence in Logistics and Distribution) center site at WSU for $12,999, 08/01/2013-07/31/2014 (NSF Award #:1338928) (P.I. Dr. Murat).
  • USDOT Regional UTC: Center for Transportation and Communities. Co-P.I. for a grant from the US DOT for $170,000 (through the UTC Center at WMU), 2013-2017 (P.I. Dr. Murat).
  • Dealer Performance Analytics: Investigating the Learning Loop. P.I. for a project funded by Urban Science for $54,000, 2014. 
  • Improving Emergency Department Patient Flow: Through Increased Accuracy and Visibility of Bed Supply and Demand at VHA. Co-P.I. (25% share) for a project funded by the Veterans Administration for $100,000, 2013-2014 (P.I. Dr. Dalkiran).
  • Supply/Demand Alignment Toolkit: Comprehensive Performance Monitoring and Management. P.I. for a project funded by the Veterans Administration for $190,000, 2013-2014.
  • Near Real-Time Decision Support Systems for Reusable Medical Equipment - Phase III. Co-P.I. (50% share) for a continuation grant funded by Veterans Administration for $100,000, 2013-2014 (P.I. Dr. Murat).
  • Pan-American Advanced Studies Institute on Manufacturing Innovation through Sustainable Design. P.I. (100% share) for a project funded by NSF PASI and DOE for $99,990 (NSF Award # 1242268), 2013.
  • Near Real-time Decision Support Systems for Reusable Medical Equipment, Co-P.I. for a project with US Department of Veterans Affairs VA-CASE (VISN 11 VERC) for $291,053, 2011-2013.
  • Novelty Detection Framework for Autonomous Monitoring & Diagnostics of Ground Vehicle Sub-Systems: Preliminary Investigation. P.I. (at 100%) for a project funded by TARDEC (Department of Defense) through ARC for $33,600, 2010-2011.
  • Ford EMMP Leadership Research Projects. Co-P.I. (at 7.5%) for projects funded by Ford Motor Company for $823,444, 2011.
  • Enhancing JIT Freight Logistics Impacted by Transportation System Projects under ITS. P.I. (at 50%) for a project funded by U.S. DoT through MI-OH UTC for $89,665 (External: $40,000), 2010-2011.
  • Evaluation of Ohio-Michigan Regional Airports for Air Cargo Transportation: Freight Forwarders Perspective. Co-P.I. (at 50%) for a project funded by U.S. DoT through OH-MI UTC for $77,311 (External: $29,838), 2010- 2011 (P.I. Dr. Murat).
  • Operational Management Optimization and Supporting Tools In Supply, Processing and Distribution (SPD) Service, Co-P.I. for a project funded by VA for $175,000, 2010-2011.
  • CI-TEAM Demonstration Project: Collaborative Research - A Sustainable Product Development Collaboratory, Co-P.I. for a project funded by NSF CI-TEAM for $109,998, 2010-2012 (NSF Award # 1041380). 
  • Abrams AED Whole System Design-for-Reliability (DFR). Co-P.I. for a project funded by General Dynamics Land Systems for $82,400, 2010  (Continuation Grant).
  • System Redesign Improvement Capability Grant. Co-P.I. for a project funded by VA to improve system redesign capability at Detroit VA Medical Center for $1,350,000, 2010-2012.
  • Call Center Configuration Analysis & Selection Model. P.I. for a project funded by VA: VISN11 Healthcare Network for $50,000, 2010.
  • 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 $125,448  (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 $133,914  (Continuation Grant).
  • Detroit VA Operations Improvement Grant. Co-P.I. for a project funded by VA to improve operations at Detroit VA Medical Center, 2009-2011.
  • 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 $93,400, 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.
  • 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.
  • 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.

Publications

Journal Papers:

  • Badfar, M., Yildirim, M., & Chinnam, R. B. (2025). State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation. Journal of Power Sources, 628, 235760.
  • Taghizadeh, E., Venkatachalam, S., & Chinnam, R. B. (2024). A Dynamic Resilience Management Framework for Deep-Tier Supply Network. Cleaner Logistics and Supply Chain, 13, 100174.
  • Naderzadeh, Y., Grosu, D., & Chinnam, R. B. (2024). PPB-MCTS: A Novel Distributed-Memory Parallel Partial-Backpropagation Monte Carlo Tree Search Algorithm. Journal of Parallel and Distributed Computing, 193, 104944.
  • Guner, H. U., Murat, A., & Chinnam, R. B. (2023). Performance analysis of a production system with two deteriorating machines and a finite buffer. Central European Journal of Operations Research, 1-31, 32, 621–651.
  • Raad, J. D., Chinnam, R. B., Arslanturk, S., Tan, S., Jeong, J. W., & Mody, S. (2023). Unsupervised abnormality detection in neonatal MRI brain scans using deep learning. Scientific Reports, 13(1), 11489.
  • Almohri, H., Chinnam, R. B., & Amini, A. A. (2023). Performance evaluation of automotive dealerships using grouped mixture of regressions. Expert Systems with Applications, 213, 119266.
  • Jeong, J.W., Lee, M.H., Fernandes, N., Deo, S., Mody, S., Arslanturk, S., Chinnam, R.B., and Tan, S. (2022). Neonatal encephalopathy prediction of poor outcome with diffusion-weighted imaging connectome and fixel-based analysis. Pediatric Research, 91(6), 1505-1515. 
  • Taghizadeh, E. §, Venkatachalam, S., & Chinnam, R. B. (2021). Impact of deep-tier visibility on effective resilience assessment of supply networks. International Journal of Production Economics, 241, 108254, 1-12. 
  • Faridimehr, S., Venkatachalam, S., & Chinnam, R. B. (2021). Managing access to primary care clinics using scheduling templates. Health Care Management Science, 24(3), 482-498. 
  • Emami, H.§, Aliabadi, M.M.§, Dong, M., and Chinnam, R.B. (2021). SPA-GAN: Spatial Attention GAN for Image-to-Image Translation. IEEE Transactions on Multimedia, 23, 391-401. 
  • Fazeli, S. S., Venkatachalam, S., Chinnam, R. B., & Murat, A. (2020). Two-stage stochastic choice modeling approach for electric vehicle charging station network design in urban communities. IEEE Transactions on Intelligent Transportation Systems, 22(5), 3038-3053.
  • Dixit, R., Chinnam, R., & Singh, H. (2020). Decision Making Dynamics in the Defense Industry during Work from Home Circumstances. IEEE Engineering Management Review, 48(3), 44-54.
  • Lee, S.Y., Chinnam, R.B., Dalkiran, Y., Krupp, S., and Nauss, M. (2020), Proactive Coordination of Inpatient Bed Management to Reduce Emergency Department Patient Boarding. International Journal of Production Economics, 231, 107842.
  • Lee, S. Y., Chinnam, R. B., Dalkiran, E., Krupp, S., & Nauss, M. (2019). Prediction of emergency department patient disposition decision for proactive resource allocation for admission. Health Care Management Science, 23(3), 339-359.
  • Dolsen, M. and Chinnam, R.B., “Developing Innovation Capability in A Mass Production Organization,” Journal of Enterprise Transformation, In Press.
  • Almohri, H., Chinnam, R.B., & Colosimo, M. (2019). Data-Driven Analytics for Benchmarking and Optimizing the Performance of Automotive Dealerships. International Journal of Production Economics, 213, 69-80.
  • Chhim, P., Chinnam, R.B., and Sadawi, N. (2019), “Knowledge Reuse through Electronic Knowledge Repositories: An Empirical Study of Organizational Antecedents and Resulting Outcomes,” Journal of Intelligent Manufacturing, 30(2), 905-916.
  • Kumar, A., Chinnam, R. B., & Tseng, F. (2019). An HMM and Polynomial Regression Based Approach for Remaining Useful Life and Health State Estimation of Cutting Tools. Computers & Industrial Engineering, 128, 1008-1014.
  • Faridimehr, S., Venkatachalam, S., and Chinnam, R.B. (2018), “A Stochastic Programming Approach for Electric Vehicle Charging Network Design,” IEEE Transactions on Intelligent Transportation Systems, 99, 1-13.
  • D’Angelo, R., Weiss, R., Wolfe, D., Chinnam, R.B. (2018), “Facing the Inevitable: Being Prepared for Regulatory Requirements for Laboratory Developed Tests,” American Journal of Clinical Pathology, 149(6), 484-498.
  • Rapp, S., Chinnam, R.B., Doerry, N., Murat, A.E., Witus, G. (2018), “Product Development Resilience through Set-Based Design,” Systems Engineering, 21(5), 490-500.
  • Umpfenbach, E. L., Dalkiran, E., Chinnam, R. B., & Murat, A. E. (2018). Promoting sustainability of automotive products through strategic assortment planning. European Journal of Operational Research, 269 (1), 272-285.
  • Umpfenbach, E. L., Dalkiran, E., Chinnam, R. B., & Murat, A. E. (2018). Optimization of strategic planning processes for configurable products. Journal of the Operational Research Society, 69(11), 1834-1853.
  • Sadati, N., Chinnam, R.B., and Nezhad, M.Z. (2018), “Observational Data-Driven Modeling and Optimization of Manufacturing Processes,” Expert Systems With Applications, 93, 456-464.
  • Fard, M.J., Ameri, S., Ellis, R.D., Klein, M.D., Chinnam, R.B., and Pandya, A.K. (2017), “Toward Real-time Robotic Camera Control: Temporal Sequence Approach for Task Recognition,” International Journal of Medical Robotics and Computer Assisted Surgery, 13(3), e1766.
  • Movahednejad, M., Mashayekhy, L., Grosu, D., and Chinnam, R.B. (2017), “Optimal Routing for Plug-in Hybrid Electric Vehicles,” Transportation Science, 51(4), 1304-1325.
  • Chhim, P. P., Somers, T. M., & Chinnam, R. (2017). Knowledge reuse through electronic knowledge repositories: a multi theoretical study. Journal of Knowledge Management, 21(4), pp. 741-764.
  • Zhou, C., Chinnam, R. B., Dalkiran, E., and Korostelev, A., "Bayesian approach to hazard rate models for early detection of warranty and reliability problems using upstream supply chain information," International Journal of Production Economics, Vol. 193, 316-331, 2017.
  • Azadian, F., Murat, A.E., and Chinnam, R.B, “An Unpaired Pickup and Delivery Problem with Time Dependent Assignment Costs: Application in Air Cargo Transportation,” European Journal of Operations Research, Vol. 263(1), pp. 188-202, 2017.
  • Tseng, F., Filev, D., and Chinnam, R.B., “A Mutual Information Based Online Evolving Clustering Approach and its Applications,” Evolving Systems, Vol. 8(3), pp. 179-191, 2017.
  • Kumar, A., Chinnam, R. B., & Murat, A., "Hazard rate models for core return modeling in auto parts remanufacturing," International Journal of Production Economics, Vol. 183, pp. 354-361, 2017.
  • Movahednejad, M., Mashayekhy, L., and Chinnam, R.B., “Online Scheduling and Pricing for Electric Vehicle Charging,” IISE Transactions, Vol. 49, Issue 2, pp. 178-193, 2017.
  • Guner, A., Murat, A.E., and Chinnam, R.B., “Dynamic Routing for Milk-Run Tours with Time Windows in Stochastic Time-Dependent Networks,” Transportation Research Part E: Logistics and Transportation Review, Vol. 97, pp. 251-267, 2017.
  • Fard, M.J., Ameri, S., Chinnam, R.B., and Ellis, R.D., “Soft Boundary Approach for Unsupervised Gesture Segmentation and Recognition in Robotic-Assisted Surgery,” IEEE Robotics and Automation Letters, Vol. 2, Iss. 1, pp. 171-178, 2017.
  • Baruah, P., Chinnam, R. B., Korostelev, A., & Dalkiran, E., "Optimal soft-order revisions under demand and supply uncertainty and upstream information," International Journal of Production Economics, Vol. 182, pp. 14-25, 2016.
  • Xie, N., Duan, M., Chinnam, R.B., Li, A., and Xue, W., “An energy modeling and evaluation approach for machine tools using Generalized Stochastic Petri Nets,” Journal of Cleaner Production, Vol. 113, pp. 523-531, 2016.
  • Kremer, G. E., Haapala, K., Murat, A., Chinnam, R. B., Kim, K. Y., Monplaisir, L., & Lei, T., "Directions for Instilling Economic and Environmental Sustainability across Product Supply Chains," Journal of Cleaner Production, Vol. 112, pp. 2066-2078, 2016.
  • Guner, H., Chinnam, R.B., and Murat, A.E., “Simulation Platform for Anticipative Plant-Level Maintenance Decision Support System,” International Journal of Production Research, Vol. 54, pp. 1785-1803, 2016.
  • Movahednejad, M., Mashayekhy, L., Chinnam, R.B, and Phillips, A., “Hierarchical Time-Dependent Shortest Path Algorithms for Vehicle Routing under ITS,” IIE Transactions, Vol. 48 (2), 1pp. 58-169, 2016.
  • Azadian, F. , Murat, A.E., and Chinnam, R.B, “Integrated Production and Logistics Planning: Contract Manufacturing and Choice of Air/Surface Transportation,” European Journal of Operations Research, Vol. 247 (1), pp. 113-123, 2015.
  • Wang, G., Jia, Y., Chinnam, R.B., Dogan, I., Houston, M., Ockers, J., “Focused Factories: A Bayesian Framework for Estimating Non-Product Related Investment,” International Journal of Production Research 53 (13), pp. 3917-3933, 2015.
  • Qiu, S., Chinnam, R. B., Murat, A., Batarse, B., Neemuchwala, H., & Jordan, W., "A cost sensitive inpatient bed reservation approach to reduce emergency department boarding times." Health Care Management Science, Vol. 18, Issue 1, pp. 67-85, 2015.
  • Vanteddu, G. and Chinnam, R.B., “Supply Chain Focus Dependent Sensitivity of the Point of Product Differentiation,” International Journal of Production Research. Vol. 52, pp. 4984-5001, 2014.
  • Taghavi, A. and Chinnam, R.B., “Assortment Planning of Automotive Products: Considerations for Economic and Environmental Impacts of Technology Selection,” Journal of Cleaner Production, Vol. 70, pp. 132-144, May 2014.
  • Cao, D., Murat, A.E., and Chinnam, R.B., “Efficient Construction of Pareto-optimal Sets for System Redundancy Allocation Problems,” Reliability Engineering & System Safety, Vol. 111, pp. 154-163, March 2013.
  • Subramoniam, R., Huisingh, D., Chinnam, R.B., and Subramoniam, S., “Remanufacturing Decision Making Framework (RDMF): Research Validation using the Analytical Hierarchical Process,” Journal of Cleaner Production, Vol. 40, pp. 212-220, February 2013.
  • Zhou, C., Chinnam, R.B., and Korostelev, A., “Hazard Rate Models for Early Warranty Issue Detection using Upstream Supply Chain Information,” International Journal of Production Economics, Vol. 139, pp. 180-195, September 2012.
  • Nepal, B., Murat, E.A., and Chinnam, R.B., “Bullwhip Effect in Capacitated Supply Chains with Consideration for Product Life-cycle Aspects,” International Journal of Production Economics, Vol. 136, No. 2, pp. 318–331, April 2012.
  • Azadian, F., Murat, A.E., and Chinnam, R.B., “Dynamic Routing of Time-Sensitive Air Cargo using Real-Time Information,” Transportation Research Part E: Logistics and Transportation Review. , Vol. 48, Iss. 1, pp. 355-372, January 2012.
  • Guner, A., Murat, A.E., and Chinnam, R.B., “Dynamic Routing under Recurrent and Non-Recurrent Congestion Using Real-time ITS Information,” Computers & Operations Research, Vol. 39, Iss. 2, pp. 358–373, February 2012.
  • Unler, A., Murat, A.E.,and Chinnam, R.B., “mr²PSO: A Maximum Relevance Minimum Redundancy Wrapper Framework for Feature Selection Based on Swarm Intelligence,” Information Sciences., Vol. 181, No. 20, pp. 4625-4641, October 2011.
  • Vanteddu, G., R.B. Chinnam, and O. Gushikin, “Supply Chain Focus Dependent Supplier Selection Problem,” International Journal of Production Economics, Vol. 129, No. 1, pp. 204-216, January 2011.
  • Subramoniam, R., Huisingh, D., and Chinnam, R.B., “Aftermarket Remanufacturing Strategic Planning Decision-Making Framework: Theory & Practice,” Journal of Cleaner Production, Vol. 18, No. 16-17, pp. 1575-1586, November 2010.
  • Filev, D.P., Chinnam, R.B., Tseng, F., and Baruah, P., “An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics,” IEEE Transactions on Industrial Informatics., Vol. 6, No. 4, pp. 767-779, November 2010.
  • Camci, F. and Chinnam, R.B., “Health-State Estimation and Prognostics in Machining Processes,” IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 3, pp. 581-597, July 2010.
  • Govindu, R. and Chinnam, R.B., “A Software Agent-Component Based Framework for Multi-Agent Supply Chain Modelling and Simulation,” International Journal of Modelling and Simulation , Vol. 30, No. 2, pp. 155-171, June 2010.
  • Sathyanarayanamurthy, H. and Chinnam, R.B., "Metamodels for Variable Importance Decomposition with Applications to Probabilistic Engineering Design," Computers & Industrial Engineering, Vol. 57, pp. 996-1007, October 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.
  • 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. 
  • Camci, F. and Chinnam, R.B., "General Support Vector Representation Machine for One-class Classification of Non-stationary Classes,"Pattern Recognition, Vol. 41, pp. 3021-3034, October 2008.
  • 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.
  • 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.
  • El-Banna, M., Filev, D., and Chinnam, R.B., "Online Qualitative Nugget Classification by using Linear Vector Quantization Neural Network for Resistance Spot Welding," International Journal of Advanced Manufacturing Technology, Vol. 36, No. 3-4, pp. 237-248, March 2008.
  • Camci, F., Chinnam, R.B., and R.D. Ellis, "A Robust Kernel-Distance Multivariate Control Chart Using Support Vector Principles," International Journal of Production Research, Vol. 46, No. 18, pp. 5075-5095, September 2008.
  • 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. 
  • 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 & Industrial Engineering, Vol. 53, pp. 584-609, November 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, September 2007.
  • 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.
  • 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 Estimating Mean Residual Life in Condition-Based Maintenance Systems,"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, April 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, November 2002.
  • Chinnam, R. B., "Online Reliability Estimation for Individual Components Using Statistical Degradation Signal Models," Quality and Reliability Engineering International, Vol. 18, pp. 53-73, January 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, October 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, November 2000.
  • Chinnam, R. B., "On-line Reliability Estimation of Individual Components Using Degradation Signals," IEEE Transactions on Reliability, Vol. 48, No. 4, pp. 403-412, December 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, November 1998.
  • Chinnam, R. B. and Kolarik, W. J., "Neural Network-Based Quality Controllers for Manufacturing Systems," International Journal of Production Research, Vol. 35, No. 9, pp. 2601-2620, September 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.

Books Published:

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.

Awards and honors

Awards:

  • Recognition by Elsevier as a Top Researcher in the Field, October 2024.
    Selection is based on the top 100,000 scientists by c-score, which measures the scientific impact of scientists and ranks all scientists from highest to lowest, or a percentile rank of 2% or above. Link
  • Best Paper Award, Ground Vehicle Systems Engineering & Technology Symposium (GVSETS), 2024.
    Murat, A., Chinnam, R.B., Rana, S., Rapp, S.H., Dunn, A., Renke, R.J., Bechtel, J.E., Hansen, K.D., “Strategic Decision Intelligence: Safeguarding Product Development Success in Complex Engineering Landscapes,” received the Best Paper Award in the Digital Engineering / Systems Engineering track at the 2024 GVSETS on August 13th in Novi, MI, USA.
  • Appointed to the Board on Army Research and Development (BOARD) Army Science and Technology Roundtable Committee, National Academy, National Research Council (NRC), April 2023 to September 2024. Assessment from sponsor Dr. Matt Willis, U.S. Army SBIR: “The committee has been productive beyond my wildest imagination!”
  • Recognition by Elsevier as a Top Researcher in the Field, October 2022.
    Selection is based on the top 100,000 scientists by c-score, which measures the scientific impact of scientists and ranks all scientists from highest to lowest, or a percentile rank of 2% or above. Link
  • Outstanding Professor Award, Industrial Engineering & Operations Management Society, August 2022.
  • Founding Director, IndustryX: Center for Operational Excellence, Wayne State University, 2019.
  • INCOSE (International Council on Systems Engineering) Best Paper Award, 2019.
    Rapp, S., Chinnam, R.B., Doerry, N., Murat, A.E., & Witus, G. (2018). Product Development Resilience through Set-Based Design. Systems Engineering, 21(5), 490-500.
  • PhD Advisor for Blue Cross Blue Shield of Michigan Foundation Student Award Program Awardee, 2018-2019.
    Samira Anvaryazdi is awarded the BCBS grant of $‎3,000 in recognition of her dissertation “Managing Operational Efficiency & Health Outcomes at Outpatient Clinics through Effective Scheduling”.
  • PhD Advisor for INFORMS Service Science Best Student Paper Awardee, 2017.
    Seungyup Lee was awarded the INFORMS IBM Service Science Best Student Paper Award (3rd Place among 52 applicants):
    Lee, S.Y., Dalkiran, E., Chinnam, R.B., Proactive Inpatient Bed Reservations from ED to Reduce Patient Boarding, Technical Article, Industrial & Systems Engineering Department, Wayne State University, 2017.
  • PhD Advisor for IISE Pritsker Doctoral Dissertation Awardee, 2016.
    Mahyar Movahednejad was awarded the IISE Pritsker Doctoral Dissertation Award for 2016 along with a $1,000 cash prize from the Pritsker Corp.:
    Mahyar Movahednejad, Adaptive Routing Algorithms for Electrified Vehicles, Ph.D. Dissertation, Industrial & Systems Engineering Department, Wayne State University, 2015.
  • IIE Transactions Article profiled in IIE Magazine, 2016.
    The following IIE Transactions Article is profiled in IIE Magazine, Vol 48, January 2016:
    Movahednejad, M., Mashayekhy, L., Chinnam, R.B, and Phillips, A., “Hierarchical Time-Dependent Shortest Path Algorithms for Vehicle Routing under ITS,” IIE Transactions. Vol. 48, Issue 2, pp. 158-169, 2016.
  • PhD Advisor for IBM Service Science Best Student Paper Award (Finalist), 2015.
    Mahyar Movahednejad is one of the few finalists among the 55 submissions for the IBM Service Science Best Student Paper Award for the following article based on his dissertation research (presentation at INFORMS 2015):
    Movahednejad, M., Mashayekhy, L., Chinnam, R.B., and Grosu, D. “Scheduling and Pricing Services for Online Electric Vehicle Charging”.
  • PhD Advisor for INFORMS ENRE Best Student Paper Award, 2014.
    Mahyar Movahednejad, my PhD student, was awarded the 2014 INFORMS ENRE (Section on Energy, Natural Resources, and the Environment) Best Student Paper Award for the following article based on his dissertation research:
    Movahednejad, M., Mashayekhy, L., Grosu, D., and Chinnam, R.B, "Optimal Routing for Plug-in Hybrid Electric Vehicles".
  • PhD Advisor for Runner-Up Prize, POMS College of Sustainable Operations Student Paper Competition, 2014.
    Mahyar Movahednejad, my PhD student, was awarded the Production and Operations Management Society (POMS) College of Sustainable Operations 2014 Student Paper Competition award and prize for the following article based on his dissertation research:
    Movahednejad, M., Mashayekhy, L., Grosu, D., and Chinnam, R.B, "Optimal Routing for Plug-in Hybrid Electric Vehicles".
  • INFORMS Best Dissertation Prize - Aviation Applications Section, 2013.
    Farshid Azadian, 2012 PhD alumnus of Wayne State University, co-advised by me and Dr. Alper Murat, won the INFORMS Best Dissertation Prize in the Aviation Applications Section of the INFORMS Transportation Science and Logistics Society. This prize is awarded following Farshid's presentation of his research in a special session at the INFORMS Annual Meeting on October 6, 2013. As part of this prize, Farshid has received a plaque and an honorarium of $500. This is the first such award to WSU.
  • Best Paper Award, Society of Operations Management, 2012.
    Kumar, A., Chinnam, R.B., "Strategic Capacity Planning and Management of Remanufactured Products," 16th Annual International Conference of the Society of Operations Management (SOM 2012), IIT Delhi, India, December 21-23, 2012.
  • Gold Paper Award, ITS Michigan Annual Meeting, Intelligent Transportation Society, 2012. 
    Movahednejad, M. and Chinnam, R.B., "Efficient Routing on Large-Scale Dynamic Networks under ITS Using Hierarchical Communities," ITS Michigan Annual Meeting & Exposition, Dearborn, MI, June 1, 2011.
  • Outstanding Faculty Service Award, Engineering Student Faculty Board, Wayne State University, 2012.
  • Outstanding Graduate Mentor Award in the Natural Sciences/Engineering, Wayne State University, 2012. Outstanding Graduate Mentor Awards honor Graduate Faculty recognized by their departments and their graduate students as excellent graduate mentors. Up to four awards are granted annually. Each award includes a $2,500 honorarium and a citation presented at the Faculty Recognition Ceremony.
  • Most Productive Researcher, Faculty Annual Peer Reviews, Industrial & Systems Engineering Department, Wayne State University, 2002-2012 (Peer Evaluations Started in 2002).
  • Gold Paper Award, ITS Michigan Annual Meeting, Intelligent Transportation Society, 2011. 
    Movahednejad, M. and Chinnam, R.B., "State-Space Reduction in Modeling Traffic Network Dynamics for Efficient Graph-Based Hierarchical Routing Algorithms under ITS," ITS Michigan Annual Meeting & Exposition, Dearborn, MI, June 1, 2011.
  • Bronze Paper Award, ITS Michigan Annual Meeting, Intelligent Transportation Society, 2011. 
    Guner, A., Chinnam, R.B., and Murat, A.E., "Dynamic Routing Policies in Stochastic Time-Dependent Networks Under ITS," ITS Michigan Annual Meeting & Exposition, Dearborn, MI, June 1, 2011.
  • Best Data Mining Paper Award - Finalist, INFORMS Annual Meeting, 2010.
    Kumar, A., Chinnam, R.B., Guo, Y., and Tseng, F., "Hidden-Markov Model based Sequential Clustering for Autonomous Diagnostics," INFORMS Annual Meeting, Austin, TX, November 7-10, 2010.
  • Best Paper - Bronze Award, ITS Michigan Annual Meeting, Intelligent Transportation Society, 2010. 
    Guner, A., Chinnam, R.B., and Murat, A.E., "Dynamic Routing in Stochastic Time-Dependent Networks for Milk-Run Tours with Time Windows," ITS Michigan Annual Meeting, Dearborn, MI, May 19- 20, 2010.
  • 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.
  • Researcher of the Year Award - Runner Up, 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:

  • Honored Listee in Marquis Who’s Who, 2024.
  • 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.
  • Google Scholar Citations
  • Scopus Citations

Other professional experience

  • Consultant, Urban Science, 2021-Present.
  • Consultant, Magna, 2016-Present.
  • Consultant, Loven Systems, 2015-Present.
  • Consultant, Dominos, 2014-2015.
  • Consultant, MRF Tyres, 2014-2015.
  • Consultant, Instant Innovation Session for Steelcase, Faurecia, and Whirlpool, 2014.
  • Consultant, CapGemini, 2014.
  • Consultant, General Dynamics Land Systems, 2011-2013.
  • Consultant, MTS Technologies LLC, 2011.
  • Faculty Consultant, Chrysler Corporation, Summer(s) 2007-2008.
  • Faculty Consultant, DaimlerChrysler Corporation, Summer(s) 2001-2006.
  • Consultant, Sirius Satellite Radio, 2005.
  • Consultant, Energy Conversion Devices, Rochester Hills, MI, 2003.
  • Consultant, Tecton Products, Fargo, ND, 1998-2000.

Professional Affiliations

  • Member, Institute for Operations Research & Management Science
  • Member, Institute of Industrial and Systems Engineers
  • Member, North American Manufacturing Research Institute
  • Member, Alpha Pi Mu

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.

Research Interests

  • Big Data: Business Analytics, Case Studies, Pilots
  • Supply Chain Management: Supply Chain Modeling & Coordination, Intelligent Transportation Systems, Green Supply Chains
  • Manufacturing & Operations: Intelligent Manufacturing, Remanufacturing, Throughput Maximization
  • Product Development: Assortment Planning, Lean, Flexibility, Design for Sustainability, Set-Based Design
  • Smart & Connected Systems: Monitoring, Diagnostics, Prognostics
  • Healthcare: Analytics, Operational Intelligence, Decision Support Systems, Access Management, Demand-Supply Alignment
  • AI & Data Science: Computational Intelligence, Deep Learning, Data Mining, Multi-Agent Systems, Statistics, Operations Research, Complex Systems.

Courses taught by Ratna Babu Chinnam

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Winter Term 2024

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