207 Lab of Mechanics Phone: (515)

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1 Soumik Sarkar Contact Information Google Scholar Appointments Citizenship Summary Research Interests Education 207 Lab of Mechanics Phone: (515) Ames, IA USA Assistant Professor, Department of Mechanical Engineering, Iowa State University (August now) Assistant Professor, Department of Computer Science (courtesy), Iowa State University (July now) Senior Scientist, Decision Support & Machine Intelligence, United Technologies Research Center (August July 2014) India (Permanent resident of the United States of America) Eleven years of experience in data analytics & machine learning, dynamical systems & control, diagnostics & prognostics and network science with applications in complex cyber-physical system, such as cyber-agriculture systems, energy & smart building systems, transportation and aerospace systems. Successfully led multi-disciplinary teams in multiple projects sponsored by NSF, NASA, ONR, ARO, DOE and DoD at both academia (at Iowa State and Penn State) and industry (United Technologies Research Center). Invited to talk at sponsoring agency organized symposiums, such as NASA, government labs, such as ARL and multiple universities in the U.S. and abroad. Proficient in paper and proposal writing; coauthored around 100 peer-reviewed publications including 36 Journal papers, 4 Book chapters and one magazine article; coauthored multiple successful proposals to NSF, AFOSR, ARPA-E, ONR, NASA (for NRA, SBIR and STTR) and ARO (for MURI). Filed for multiple patents on Data-driven decision systems, Fault Detection in Aerospace & Energy systems. Excelled in research presentations, won Five Best Session Paper Presentation Awards in American Control Conferences (ACC). Organized multiple workshops in various international conferences including Knowledge Discovery and Data Mining (KDD) conference 2016 and ACC Served as the General Chair of 2010 College of Engineering Research Symposium at Penn State. Excelled in leading project works and demonstrations on smart building systems as a Senior Scientist at the United Technologies Research Center (UTRC); recipient of (three) UTRC s Great Job awards in three years. Recipient of prestigious Black & Veatch faculty fellowship in Fall 2014 from College of Engineering at Iowa State and 2017 Young Investigator award from the US Air Force Office of Scientific Research (AFOSR). Served as reviewer of numerous international journals and conferences; currently serving as an Associate Editor of Frontiers in Robotics and AI: Sensor Fusion and Machine Perception journal. Deep Learning; Probabilistic Graphical Models; Signal Processing and Pattern Recognition; Stochastic time series analysis; Diagnostics & Prognostics in Complex Engineering Systems; Resilient control of Cyber-physical systems; Network science, Control of Multi-agent systems and analysis of Critical Phenomena; Human-Machine Interaction; Applications in plant science & agriculture systems, energy & smart building systems, transportation and aerospace systems. The Pennsylvania State University, University Park, PA USA 1 of 15

2 Ph.D., Mechanical Engineering, August 2011 Thesis Topic: Autonomous Perception and Decision Making in Complex Cyberphysical Systems Advisor: Professor Asok Ray M.S., Mechanical Engineering, May 2009 Thesis Topic (Ph.D. proposal): Decision and Control of Multi-agent Complex Systems Advisor: Professor Asok Ray M.A., Mathematics, December 2009 Paper Topic: Physical Realization of Chaotic Behavior Advisor: Professor Mark Levi Jadavpur University, Kolkata, India B.E., Mechanical Engineering, June 2006 Research Project Topic: Vibration analysis of Non-circular Jeff-cott rotor Advisor: Professor Sumanta Neogi Honors & Awards Invited Talks NVIDIA Deep Learning Institute (DLI) University Ambassadorship (2017) AFOSR Young Investigator Program (YIP) award (2017) ASHRAE Science and Technology for the Built Environment Best Paper Award in 2015 NSF CISE Research Initiation Initiative (CRII) award (2015) Black & Veatch Faculty Fellowship from College of Engineering, Iowa State (2014) One Best Paper of the Session award, American Control Conference 2013 Two Best Paper of the Session awards, American Control Conference 2012 UTRC s Great Job award (September, 2013) for building diagnostics demonstration UTRC s Great Job award (June, 2012) for human-machine Interaction workshop organization UTRC s Great Job award (November, 2011) for real-time demonstration on smart building system General Chair, 2010 College of Engineering Research Symposium, Penn State Two Best Paper of the Session awards, American Control Conference 2009 Travel Grant Awards, American Control Conference 2008, 2009 & 2010, Dynamic Systems and Control Conference 2010 Second best Graduate Paper Award, 2008 College of Engineering Research Symposium, Penn State Two Gold Medals for academic excellence in Mechanical Engineering Undergraduate class of 2006, Jadavpur University, Kolkata, India Summer Research Fellowship (among 120 students selected on an all-india basis), 2004 & 2005, Jawaharlal Nehru Center for Advanced Scientific Research, India A multi-scale data assimilation framework for layered sensing and hierarchical control of disease spread in field crops, The 2nd US-JAPAN (NSF-JST) Workshop on Collaborative Global Research on Applying Information Technology, Tokyo, December 2017 A multi-scale data assimilation framework for layered sensing and hierarchical control of disease spread in field crops, NSF CPS PI meeting, Washington DC, November 2017 Applied Deep Learning, Midwest Big Data Summer School, Ames, IA, July 2017 Spatiotemporal Graphical Modeling for Complex Energy Systems, National Renewable Energy Laboratory, Golden, CO, April of 15

3 Spatiotemporal Graphical Modeling for Complex Cyber-Physical Systems, Department of Statistics, Iowa State University, Ames, IA, February 2017 Engineering Analytics with Deep Learning, ExxonMobil Research and Engineering, Annandale, NJ, December 2016 A Deep Autoencoder Approach to Natural Low-light Image Enhancement, Rockwell Collins Inc., Cedar Rapids, IA, May 2016 Spatiotemporal Graphical Modeling for Complex Cyber-Physical Systems, University of Colorado Boulder, CO, March 2016 Solving Hard Engineering Problems with Deep Learning, Department of Mechanical Engineering, Washington State University, WA, March 2016 Machine Learning for Plant Phenotypic Decision-making, Phenotype Prediction: Image Acquisition and Analysis, Iowa State University, Ames, IA, February 2016 Solving Hard Engineering Problems with Deep Learning, Department of Computer Science, Iowa State University, Ames, IA, September 2015 RGBD Occlusion Detection via Deep Convolutional Neural Networks, NVIDIA GPU Technical Conference, San Jose, CA, March 2015 Research Activities at Iowa State in Dynamics, Control and Decision-making: From Aerospace to Building Energy Systems, United Technologies Research Center, East Hartford, CT, March 2015 Unsupervised aspects in Autonomous Perception & Decision-making, US Army Research Laboratory, Adelphi, MD, February 2015 Learning, Inference and Decision making in Human-cyber-physical Systems, Iowa State University, Ames, IA, January 2014 Autonomous Perception and Decision making in Complex Cyber-physical Systems, Missouri University of Science & Technology, Rolla, MO, January 2013 Health Monitoring of Human-engineered Complex Systems: A Cyber-physical Approach, Indian Institute of Science, Bangalore, India, June 2011 Autonomous Perception and Decision making in Complex Cyber-physical Systems, United Technologies Research Center, East Hartford, CT, April 2011 Data-driven Component level Fault Detection in Aircraft Gas Turbine Engines, Propulsion Controls and Diagnostic Workshop, Cleveland, OH USA, December 2009 Statistical Estimation of Multiple Faults in Aircraft Gas Turbine Engines, NASA Aviation Safety Technical Conference, Denver, CO USA, October 2008 Professional Involvements Organizer of the workshop (Machine Learning for Prognostics and Health Management), ACM SIGKDD 2017 Conference on Knowledge Discovery & Data Mining, August, 2017 Organizer of the workshop (Machine Learning for Prognostics and Health Management), ACM SIGKDD 2016 Conference on Knowledge Discovery & Data Mining, August, 2016 Organizer of the workshop (Collaborative Sensing, Learning, and Control in Human- Machine Systems), American Control Conference, July, 2016 Organizer and Invited session chair (Nonlinear Time-series Analysis for Intelligent Decision-making), American Control Conference, July, 2015 Invited to workshop panel on Advanced Controls for Buildings to Grid Integration at the Pacific Northwest National Lab (PNNL), Seattle, WA, March, 2015 Associate Editor, Frontiers in Robotics and AI: Sensor Fusion and Machine Perception (April present) Member, Mechatronics Technical Committee, ASME DSCD Organizing committee member, Human-machine Interaction workshop, UTRC 2012 Chair, Annual College of Engineering Research Symposium, Penn State 2010 Vice-president, Engineering Graduate Student Council, Penn State Full Member, Sigma Xi, The Scientific Research Society Member, American Society of Mechanical Engineers (ASME) 3 of 15

4 Member, Institute of Electrical and Electronics Engineers (IEEE) Referee for Journals/ Conferences Research & Teaching Experience AIAA Journal International Journal of Control Aerospace Science and Technology International Journal of Prognostics and Health Management International Journal of Information Technology and Decision Making Journal of Aerospace Engineering (I Mech E Part G) International Journal of Distributed Sensor Networks American Control Conference (ACC) Conference on Decision & Control (CDC) ASME Turbo Expo (Gas Turbine Technical Congress & Exposition) Annual Conference of the PHM Society European Conference of the PHM Society Neurocomputing (Elsevier) Information Sciences (Elsevier) Signal Processing (Elsevier) Journal of Advances in Information Fusion IEEE Transactions on Industrial Informatics Applied Energy (Elsevier) Journal of Signal Processing Systems (Springer) Sensors ASME Dynamic Systems and Control Conference (DSCC) IEEE Control Systems Technology Building and Environment Neural Information and Processing System (NIPS) IEEE Transactions on Automatic Control (TAC) International Conference on Learning Representation (ICLR) International Conference on Machine Learning (ICML) Department of Mechanical Engineering, Iowa State University, Ames, IA USA Assistant Professor of Mechanical Engineering Director, Self-aware Complex Systems Lab August 2014 to present Projects: (note that the funding amounts are total to the team, not to the individual PI) Battery-free RFID Sensor Network with Spatiotemporal Pattern Network Based Data Fusion System for Human Presence Sensing (as Co-PI) recommended for funding by the ARPA-E ($2,000,000, 03/01/ /28/2021) Predictions of Driver Safety in Advancing Age: Real-World Recorders (as Co-PI) sponsored by University of Nebraska Medical Center (original award from NIH) ($76,122, 05/01/ /31/2018) A Neural-Symbolic approach to Real-time Decision-making in Complex Aerospace Systems (as PI) sponsored by AFOSR - Young Investigator Program ($360,000, 4/28/2017-4/27/2020) A multi-scale data assimilation framework for layered sensing and hierarchical control of disease spread in field crops (as PI) sponsored by NSF/USDA-NIFA ($990,471, 3/1/2017-2/29/2020) Saliency-driven robotic networks for spatiotemporal plant phenotyping (as Co-PI) sponsored by NSF/USDA-NIFA ($820,021, 12/15/ /14/2019) PFI: BIC- A Smart Service System for Traffic Incident Management Enabled by Large-data Innovations (TIMELI) (as Co-PI) sponsored by NSF ($1,000,000, 09/01/ /31/2019) 4 of 15

5 CM: Machine-Learning Driven Decision Support in Design for Manufacturability (as Co-PI) sponsored by NSF ($415,175, 09/01/ /31/2019) A Knowledge Representation and Information Fusion Framework for Decision Making in Complex Cyber-Physical Systems (as PI) sponsored by NSF ($182,906, 05/15/ /14/2017) D3AI: Data driven discoveries for agricultural innovation (as Co-PI) sponsored by Iowa State Presidential Initiative on Interdisciplinary Research ($750,000, 10/01/ /30/2018) Big Data for Sustainable Cities & Decision Making (as Co-PI) sponsored by Iowa State Presidential Initiative on Interdisciplinary Research ($375,000, 08/01/ /31/2019) Novel Machine Learning based methods for low-light image/video denoising (as Co-PI) sponsored by Regents Innovation Fund and Rockwell Collins Inc. ($200,000, 01/01/ /31/2017) A Scalable Multi-agent Systems approach to Building HVAC Systems Control for Energy Efficiency (as Co-PI) sponsored by Iowa Energy Center ($100,000, 01/01/ /31/2016) High volume Information Visualization for Traffic Networks Decision & Control of Mobile Sensor Networks Deep Learning for Microfluidic channel design Instructor Courses: August 2014 to present New Graduate course on Data Analytics and Machine Learning for Cyber-Physical Systems Applications, Spring 2017 Junior Level Course on Engineering Measurements, Fall 2016 Senior Level Course on System Dynamics and Control, Fall 2014, Spring 2015 Freshmen Level Course on Introduction to Mechanical Engineering and Programming, Fall 2015, Spring 2016 Decision Support & Machine Intelligence Group, Systems Department, United Technologies Research Center, East Hartford, CT USA Senior Scientist August 2011 to July 2014 Projects: Energy Performance Monitoring and Optimization under the ESTCP of DoD; Scope: Automated diagnostics and supervisory model predictive control for energy and comfort optimization in commercial buildings Graphical Framework for Active Decision Support (as the Principal Investigator); Scope: Framework for active diagnostics of industrial systems Human-Machine Interaction; Scope: HMI for smart buildings energy management system (DoE Energy Efficient Buildings HUB Project) Big Data Analytics & Cyber-physical Security; Scope: Data-enabled security for large cyber-physical systems; Deep learning; Distributed analytics and cloud computing Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA USA Graduate Research Assistant August 2006 to July 2011 Projects: Integrated Vehicle Health Management of Aircraft Gas Turbine Engines funded by NASA 5 of 15

6 Science of Autonomy funded by U.S. Office of Naval Research Multidisciplinary University Research Initiative on Engineering Sensor Network Structure for Information Fusion funded by U.S. Army Research Office Health Monitoring of Coal Gasification Systems funded by Idaho National Laboratory Co-Instructor August 2009 to May 2011 Courses: Graduate Level Course on Thermodynamics, Information Theory, and Chaotic Systems Graduate Level Course on Stochastic Systems in Science and Engineering Graduate Level Course on Foundations of Engineering Systems Analysis Engineering Mechanics Unit, Jawaharlal Nehru Center for Advanced Scientific Research, Bangalore, India Summer Research Fellow May 2005 to July 2005 Projects: Experimental study in Hele-Shaw cells for Fingering Regime in Salt-sugar Doublediffusive system Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India Summer Research Fellow May 2004 to July 2004 Projects: Experimental study of Flow Visualization over an Oscillating airfoil Department of Mechanical Engineering, Jadavpur University, Kolkata, India Undergraduate Research Assistant August 2003 to May 2006 Projects: Vibration analysis of Non-circular Jeff-cott rotor Semi-Analytical Solution for Heat and Mass Transfer in Rounded Corner Ducts Journal 40. S. Ghosal, D. Blystone, A. K. Singh, B. Ganapathysubramanian, A. Singh and S. Sarkar, Bringing consistency to plant stress phenotyping through an explainable deep machine vision framework, (under review) 39. A. Akintayo, G. Tylka, A. K. Singh, B. Ganapathysubramanian, A. Singh and S. Sarkar, Searching for nematode eggs in soil samples: deep learning to the rescue, (under review) 38. Z. Jiang, V. Chinde, A. Kohl, A. Kelkar, and S. Sarkar, Supervisory Control and Distributed Optimization of Building Energy Systems, (under review) 37. C. Liu, K. Lore and S. Sarkar, Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in distributed complex systems, (under review) 36. C. Liu,. A. Akintayo, Z. Jiang, G.P. Henze, S. Sarkar, Multivariate Exploration of Non-Intrusive Load Monitoring via Spatiotemporal Pattern Network, Applied Energy (in press) 6 of 15

7 Journal 35. Z. Jiang, K. Mukherjee, S. Sarkar, Generalized Gossip-based Subgradient Method for Distributed Optimization, International Journal of Control (in press) 34. K. G. Lore, D. Stoecklein, M. Davies, B. Ganapathysubramanian and S. Sarkar, A Deep Learning framework for Causal Shape Transformation, Neural Networks (in press) 33. Hsiang Sing Naik, Jiaoping Zhang, Teshale Assefa, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K Singh, Baskar Ganapathysubramanian, A real-time phenotyping framework using machine learning for plant stress severity rating in soybean, Plant Methods 13:23 (2017). 32. Jiaoping Zhang, Hsiang Naik, Teshale Assefa, Soumik Sarkar, Chowda Reddy R.V, Arti Singh, Baskar Ganapathysubramanian, and Asheesh Singh, Computer vision and machine learning for robust phenotyping in genome-wide studies, Scientific Reports 7, Article Number: (2017). 31. Talukder Jubery, Johnothon Shook, Kyle Parmley, Jiaoping Zhang, Hsiang Naik, Race Higgins, Soumik Sarkar, Arti Singh, Asheesh Singh, Baskar Ganapathysubramanian, Deploying Fourier coefficients to unravel soybean canopy diversity, Frontiers in Plant Science, Vol.7, Z. Jiang, C. Liu, A. Akintayo, G. Henze, S. Sarkar, Energy Prediction using Spatiotemporal Pattern Networks, Applied Energy Volume 206, pp , November V. Chinde, K. Krishna, A. Kelkar, R. Pasumarthy, S. Sarkar, N.M. Singh. A Passivitybased Power Shaping Control of Building HVAC Systems, Journal of Dynamic Systems, Measurement and Control, Volume 139, Issue 11, July C. Liu, Y. Gong, S. Laflamme, B. Phares, S. Sarkar. Bridge damage detection using spatiotemporal patterns extracted from dense sensor network, Measurement Science and Technology (Special Feature on Dense Sensor Networks for Mesoscale SHM), Vol. 61, No. 1, January D. Stoecklein, K. G. Lore, M. Davies, B. Ganapathysubramanian and S. Sarkar, Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data, Scientific Reports 7, Article number: (2017). 26. K. G. Lore, A. Akintayo, and S. Sarkar, LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement, Pattern Recognition, Volume 61, Pages , January V. Venugopalan, S. Sarkar, K. Reddy, J. Rayde, M. Giering and N. Jaitly Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames, Journal of Signal Processing Systems (Special Issue on Dynamic Data-driven Application Systems (DDDAS)), A. Akintayo, K. G. Lore, S. Sarkar, S. Sarkar. Prognostics of Combustion Instabilities from Hi-speed Flame Video using a Deep Convolutional Selective Autoencoder, International Journal of Prognostics and Health Management (Special Issue on Big Data and Analytics), Volume 7, S. Sarkar and A. Srivastav, A Composite Discretization Scheme for Symbolic Identification of Complex Systems, Signal Processing, Volume 125, Pages , August of 15

8 Journal 22. A. Singh, B. Ganapathysubramanian, A. K. Singh and S. Sarkar, Machine Learning for High-Throughput Stress Phenotyping in Plants, Trends in Plant Sciences (TIPS), Volume 21, Issue 2, p110124, K. G. Lore, D. Stoecklein, M. Davies, B. Ganapathysubramanian and S. Sarkar, Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns, Journal of Machine Learning Research, December 2015 [NIPS 2015 workshop on Feature Extraction: Modern Questions and Challenges] 20. D. K. Jha, P. Chattopadhyay, S. Sarkar and A. Ray, Path Planning in GPS-denied Environments via Collective Intelligence of Distributed Sensor Networks, International Journal of Control, S. Bengea, P. Li, S. Sarkar, S. Vichik, V. Adetola, K. Kang, F. Leonardi, T. Lovett, A. Kelman, Fault-Tolerant Optimal Control of a Building Heating, Ventilation and Air Conditioning System, ASHRAE Journal of Science and Technology for the Built Environment (formerly HVAC&R Research), July, 2015 [Best paper of 2015 award] 18. S. Sarkar and K. Mukherjee, Event-triggered Decision Propagation in Proximity Networks, Invited paper for the Inaugural issue of Frontiers in Robotics and AI: Sensor Fusion and Machine Perception (Part of the Nature Publishing Group), S. Sarkar, S. Sarkar, N. Virani, A. Ray, M. Yasar, Sensor Fusion for Fault Detection & Classification in Distributed Physical Processes, Invited paper for the Inaugural issue of Frontiers in Robotics and AI: Sensor Fusion and Machine Perception (Part of the Nature Publishing Group), S. Sarkar, S. Sarkar, K. Mukherjee, A. Ray, and A. Srivastav, Multi-sensor Information Fusion for Fault Detection in Aircraft Gas Turbine Engines, Proceedings of the I Mech E Part G: Journal of Aerospace Engineering, Vol. 227, No. 12, December 2013, pp A. Ray, S. Phoha, and S. Sarkar, Behavior Prediction for Decision & Control in Cognitive Autonomous Systems, New Mathematics and Natural Computation: Special Issue on Engineering of the Mind, Cognitive Science and Robotics, Vol. 9, No. 3, November 2013, pp S. Sarkar, K. Mukherjee, S. Sarkar, and A. Ray, Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines, Journal of Dynamic Systems, Measurement, and Control, Transactions of the ASME, Vol. 135, Issue 1. January 2013, pp (6 pages). 13. S. Sarkar, K. Mukherjee, and A. Ray, Distributed Decision Propagation in Proximity Networks, International Journal of Control, Vol. 86, No.6, June 2013, pp S. Sarkar, K. Mukherjee, A. Ray, A. Srivastav, and T. Wettergren, Equilibrium Thermodynamics for Heterogeneous Packet Transmission in Communication Networks, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 42, No. 4, August 2012, pp S. Sarkar, K. Mukherjee, X. Jin, and A. Ray, Optimization of Symbolic Feature Extraction for Pattern Classification, Signal Processing, Vol. 92, No. 3, March 2012, pp of 15

9 Journal 10. S. Chakraborty, S. Sarkar, and A. Ray, Symbolic Identification for Fault Detection in Aircraft Gas Turbine Engines, Proceedings of the I Mech E Part G: Journal of Aerospace Engineering, Vol. 226, No. 4, April 2012, pp S. Sarkar, X. Jin, and A. Ray, Data-driven Fault Detection in Aircraft Engines with Noisy Sensor Measurements, Journal of Engineering for Gas Turbines and Power, Vol. 133, No. 8, August 2011, pp (10 pages). 8. X. Jin, Y. Guo, S. Sarkar, A. Ray, and R.M. Edwards Anomaly Detection in Nuclear Power Plants via Symbolic Dynamic Filtering, IEEE Transactions on Nuclear Science, Vol. 58, No.1, February 2011, pp S. Sarkar, C. Rao and A. Ray, Statistical Estimation of Multiple Faults in Aircraft Gas Turbine Engines, Proceedings of the I Mech E Part G: Journal of Aerospace Engineering, Vol. 223, No.4, 2009, pp S. Sarkar, K. Mukherjee and A. Ray, Generalization of Hilbert Transform for Symbolic Analysis of Noisy Signals, Signal Processing, Vol. 89, Issue 6, June 2009, pp C. Rao, K. Mukherjee, S. Sarkar and A. Ray, Statistical Estimation of Multiple Parameters via Symbolic Dynamic Filtering, Signal Processing, in Vol. 89, Issue 6, June 2009, pp C. Rao, A. Ray, S. Sarkar and M. Yasar, Review and Comparative Evaluation of Symbolic Dynamic Filtering for Detection of Anomaly Patterns, Signal, Image, and Video Processing, Vol. 3, Issue 2 (2009), pp S. Chakraborty, S. Sarkar, S. Gupta and A. Ray, Damage Monitoring of Refractory Wall in a Generic Entrained-Bed Slagging Gasification System, Proceedings of the I Mech E Part A: Journal of Power and Energy, Vol. 222 Part A, No. 8, October 2008, pp S. Sarkar, M. Yasar, S. Gupta, A. Ray and K. Mukherjee, Fault Detection and Isolation in Aircraft Gas Turbine Engines: Part II Validation on a Simulation Test Bed, Proceedings of the I Mech E Part G: Journal of Aerospace Engineering, Vol. 222 (G3), No. 3, May 2008, pp S. Gupta, A. Ray, S. Sarkar and M. Yasar, Fault Detection and Isolation in Aircraft Gas Turbine Engines: Part I Underlying Concept, Proceedings of the I Mech E Part G: Journal of Aerospace Engineering, Vol. 222 (G3), No. 3, May 2008, pp Conference 57. Z. Jiang, A. Balu, C. Hegde, S. Sarkar, Collaborative Deep Learning in Fixed Topology Networks, Proceedings of Advances in Neural Information Processing Systems (NIPS), (Long Beach, CA), A. Balu, T. V. Nguyen, A. Kokate, C. Hegde, S. Sarkar, A Forward-Backward Approach for Visualizing Information Flow in Deep Networks, Symposium on Interpretable Machine Learning at NIPS K. Nagasubramanian, S. Jones, A. K. Singh, A. Singh, B. Ganapathysubramanian, S. Sarkar, Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency map, Workshop on Interpreting, Explaining and Visualizing Deep Learning... now what?, NIPS of 15

10 Conference 54. S. Ghosal, D. Blystone, A. K. Singh, B. Ganapathysubramanian, A. Singh and S. Sarkar, Interpretable Deep Learning applied to Plant Stress Phenotyping, Symposium on Interpretable Machine Learning at NIPS S. Ghadai, A. Balu, A. Krishnamurthy, S. Sarkar, Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes, Symposium on Interpretable Machine Learning at NIPS C. Liu, K. G. Lore, S. Sarkar, Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling, Proceedings of IEEE Conference on Decision and Control, (Melbourne, Australia), L. Wu, C. Liu, T. Huang, A. Sharma, S. Sarkar, Traffic sensor health monitoring using spatiotemporal graphical modeling, Proceedings of the 2nd ACM SIGKDD Workshop on Machine Learning for Prognostics & Health Management. (Halifax, NS, Canada), T. Huang, C. Liu, A. Sharma, S. Sarkar, Traffic System Anomaly Detection using Spatiotemporal Pattern Networks, Proceedings of the 2nd ACM SIGKDD Workshop on Machine Learning for Prognostics & Health Management. (Halifax, NS, Canada), S. Ghosal, A. Akintayo, P. K. Boor, S. Sarkar, High Speed Video-based health monitoring using 3D deep learning, Proceedings of the Dynamic Data Driven Application Systems (DDDAS), (Cambridge, MA), H. Saha, T. Gao, H. Emadi, Z. Jiang, A. Singh, B. Ganapathysubramanian, S. Sarkar, A. Singh, S. Bhattacharya, Autonomous mobile sensing platform for spatiotemporal plant phenotyping, Proceedings of ASME 2017 Dynamic Systems and Control Conference (DSCC) (Tysons, VA), Z. Jiang, K Mukherjee and S. Sarkar, Convergence and Noise Effect Analysis for Generalized Gossip-based Distributed Optimization, Proceedings of the American Control Conference, (Seattle, WA), C. Liu, B. Huang, M. Zhao, S. Sarkar, U. Vaidya, A. Sharma. Data Driven Exploration of Traffic Network System Dynamics using High Resolution Probe Data. Proceedings of IEEE Conference on Decision and Control, (Las Vegas, NV), S. Ghosal, V. Ramanan, S. Sarkar, S. R. Chakravarthy, S. Sarkar. Detection and Analysis of Combustion Instability from High-speed Flame Images using Dynamic Mode Decomposition, Proceedings of ASME 2016 Dynamic Systems and Control Conference (DSCC). (Minneapolis, MN), C. Liu, Y. Gong, S. Laflamme, B. Phares, S. Sarkar. Damage Detection of Bridge Network with Spatiotemporal Pattern Network, Proceedings of ASME 2016 Dynamic Systems and Control Conference (DSCC). (Minneapolis, MN), V. Chawla, M.H. Hsiang, A. Akintayo, D. Hayes, P. Schnable, B. Ganapathysubramanian, Sarkar, S., A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert-knowledge?. Proceedings of the 22nd ACM SIGKDD Workshop on Data Science for Food, Energy and Water. (San Francisco, CA) of 15

11 Conference 42. Akintayo, A., Nigel, L., Chawla, V., Mullaney, M., Marett, C., Singh, A., Singh, A., Tylka, A., Ganapathysubramaniam, B., Sarkar, S., An End-to-end Convolutional Selective Autoencoder Approach to Soybean Cyst Nematode Eggs Detection, Proceedings of the 22nd ACM SIGKDD Workshop on Data Science for Food, Energy and Water. (San Francisco, CA) Akintayo, A., Lore, K. G., Sarkar, S., Sarkar, S., Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video, Proceedings of the 22nd ACM SIGKDD Workshop on Machine Learning for Prognostics & Health Management. (San Francisco, CA) S. Ghosal, C. Liu, U. Passe, S. He, S. Sarkar, Data-driven persistent monitoring of Indoor Air Systems, Proceedings of the ASHRAE IAQ 2016 Defining Indoor Air Quality: Policy, Standards and Best Practices, (Alexandria, VA), V. Chinde, A. Kohl, Z. Jiang, A. Kelkar, S. Sarkar. A VOLTTRON based implementation of Supervisory Control using Generalized Gossip for Building Energy Systems, Proceedings in the 4th International High Performance Buildings Conference, (West Lafayette, IN), K. G. Lore, N. Sweet, K. Kumar, N. Ahmed and S. Sarkar, Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering, ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), (Viena, Austria) C. Liu, S. Ghosal, Z. Jiang and S. Sarkar, An unsupervised spatiotemporal graphical modeling approach to Anomaly detection in Distributed CPS, ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), (Viena, Austria) Z. Jiang, V. Chinde, A. Kohl, S. Sarkar, A. Kelkar, Scalable Supervisory Control of Building Energy Systems using Generalized Gossip, Proceedings of the American Control Conference, (Boston, MA), V. Chinde, K. C. Kosaraju, A. Kelkar, R. Pasumarthy, S. Sarkar and N. M. Singh, Building HVAC Systems Control Using Power Shaping Approach, Proceedings of the American Control Conference, (Boston, MA), S. Sarkar, D. K. Jha, K. G. Lore, A. Ray and S. Sarkar, Multi-modal Spatiotemporal Fusion using Neural-symbolic Causal Modeling for Early Detection of Combustion Instability, Proceedings of the American Control Conference, (Boston, MA), K. G. Lore, S. Sarkar and D. K. Jha, Topology Control of Mobile Sensor Networks using Information Space Feedback, Proceedings of the American Control Conference, (Boston, MA), S. Sarkar, K. G. Lore and S. Sarkar, Early Detection of Combustion Instability by Neural-Symbolic Analysis of Hi-speed Video, NIPS 2015 workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches, Montreal, Canada, Z. Jiang, S. Sarkar and K. Mukherjee, On Distributed Optimization using Generalized Gossip, Proceedings of Conference on Decision and Control, (Osaka, Japan) of 15

12 Conference 30. S. Sarkar, K. G. Lore, S. Sarkar, V. Ramanan, S. Chakravarthy and A. Ray, Early Detection of Combustion Instability from Hi-speed Flame Images via Deep Learning and Symbolic Time Series Analysis, Proceedings of Annual Conference of the Prognostics and Health Management Society, (San Diego, CA), Z. Jiang and S. Sarkar, Understanding Wind Turbine interactions using Spatiotemporal Pattern Network, Proceedings of ASME Dynamical Systems and Control Conference, (Columbus, OH), V. Chinde, J. Heylmun, A. Kohl, Z. Jiang and S. Sarkar, Comparative evaluation of Control-oriented zone temperature prediction modeling strategies in Buildings, Proceedings of ASME Dynamical Systems and Control Conference, (Columbus, OH), S. Sarkar, V. Venugopalan, K. Reddy, J. Rayde, M. Giering and N. Jaitly Using Deep Convolutional Networks for Occlusion Edge Detection in RGB-D Frames, IEEE High Performance Extreme Computing Conference (HPEC), (Waltham, MA), A. Akintayo, S. Sarkar, A Symbolic Dynamic Filtering Approach to Unsupervised Hierarchical Feature Extraction from Time-Series Data, Proceedings of American Control Conference, (Chicago, IL), P. Chattopadhyay, D. K. Jha, S. Sarkar and A. Ray, Path Planning in GPS-denied Environments: A Collective Intelligence Approach, Proceedings of American Control Conference, (Chicago, IL), K. G. Lore, M. Davies, D. Stoecklein, B. Ganapathysubramanian and S. Sarkar, Deep Learning for flow sculpting in micro-fluid platforms, NVIDIA GPU Technology Conference, Silicon Valley, V. Venugopalan, S. Sarkar, K. Reddy, J. Rayde, M. Giering and N. Jaitly RGBD Occlusion Detection via Deep Convolutional Neural Networks, NVIDIA GPU Technology Conference, Silicon Valley, 2015 (invited talk) 22. R. Georgescu, K. Reddy, N. Trcka, M. Chen, P. Quimby, P. O Neill, T. Khawaja, D. Hestand, L. Bertuccelli, S. Sarkar, O. Erdinc and M. Giering, Scalable Humanin-the-Loop Decision Support, IEEE Aerospace Conference, Big Sky, MT, March S. Krishnamurthy, S. Sarkar, A. Tewari, Scalable anomaly detection and isolation in cyber-physical systems using Bayesian Networks, Proceedings of ASME Dynamical Systems and Control Conference, (San Antonio, TX), R. Khire, F. Leonardi, P. Quimby, S. Sarkar, (in alphabetical order) A Novel Human Machine Interface for Advanced Building Controls and Diagnostics, (3rd International High Performance Buildings Conference at Purdue), V. Adetola, S. Bengea, F. Borrelli, K. Kang, A. Kelman, F. Leonardi, P. Li, T. Lovett, S. Sarkar, S. Vichik, (in alphabetical order) Fault-Tolerant Optimal Control of a Large-Size, Commercial Building Heating, Ventilation and Air Conditioning System, (3rd International High Performance Buildings Conference at Purdue), S. Sarkar, N. Virani, M. Yasar, A. Ray, and S. Sarkar, Spatiotemporal Information Fusion for Fault detection in Shipboard Auxiliary Systems, Proceedings of American Control Conference, (Washington, D.C.), of 15

13 Conference 17. S. Sarkar, A. Srivastav, and M. Shashanka, Maximally Bijective Discretization for Data-driven Modeling of Complex Systems, Proceedings of American Control Conference, (Washington, D.C.), 2013 (Best Session Paper Award) 16. S. Sarkar, K. Mukherjee, S. Sarkar, and A. Ray, Symbolic Transient Time-series Analysis for Fault Detection in Aircraft Gas Turbine Engines, Proceedings of American Control Conference, (Montreal, Canada), 2012 (Best Session Paper Award) 15. S. Sarkar, K. Mukherjee, and A. Ray, Distributed Decision Propagation in Mobile Agent Networks, Proceedings of American Control Conference, (Montreal, Canada), 2012 (Best Session Paper Award) 14. S. Sarkar, D. S. Singh, A. Srivastav, and A. Ray, Semantic Sensor Fusion for Fault Diagnosis in Aircraft Gas Turbine Engines, Proceedings of American Control Conference, (San Francisco, CA), D. S. Singh, S. Sarkar, S. Gupta, and A. Ray, Optimal Partitioning of Ultrasonic Data for Fatigue Damage Detection, Proceedings of American Control Conference, (San Francisco, CA), S. Sarkar, K. Mukherjee, A. Srivastav, and A. Ray, Distributed Decision Propagation in Mobile Agent Networks, Proceedings of Conference on Decision and Control, (Atlanta, GA) S. Sarkar, K. Mukherjee, X. Jin, and A. Ray, Optimization of Time-series data Partitioning for Parameter Identification, Proceedings of ASME Dynamic Systems and Control Conference, (Cambridge, MA), S. Sarkar, K. Mukherjee, A. Srivastav, and A. Ray, Critical Phenomena and Finite-size Scaling in Communication Networks, Proceedings of American Control Conference, (Baltimore, MD), S. Chakraborty, S. Sarkar, A. Ray and S. Phoha, Symbolic Identification for Anomaly Detection in Aircraft Gas Turbine Engines, Proceedings of American Control Conference, (Baltimore, MD), X. Jin, S.Sarkar, K. Mukherjee and A. Ray, Suboptimal Partitioning of Timeseries Data for Anomaly Detection, Proceedings of Conference on Decision and Control, (Shanghai, China), S. Sarkar, K. Mukherjee, A. Srivastav, and A. Ray, Understanding phase transition in communication networks to enable robust and resilient control, Proceedings of American Control Conference, (St. Louis, MO), (Best Session Paper Award) 6. S. Sarkar, K. Mukherjee and A. Ray, Symbolic Analysis of Time Series Signals Using Generalized Hilbert Transform, Proceedings of American Control Conference, (St. Louis, MO), S. Sarkar, C. Rao and A. Ray, Estimation of Multiple Faults in Aircraft Gasturbine Engines, Proceedings of American Control Conference, (St. Louis, MO), (Best Session Paper Award) 4. C. Rao, S. Sarkar, A. Ray, and M. Yasar, Comparative Evaluation of Symbolic Dynamic Filtering for Detection of Anomaly Patterns, Proceedings of American Control Conference, (Seattle, WA), of 15

14 Conference 3. C. Rao, K. Mukherjee, S. Sarkar, and A. Ray, Estimation of Multiple Parameters in Dynamical Systems, Proceedings of American Control Conference, (Seattle, WA), S. Sarkar, K. Mukherjee, A. Ray, and M. Yasar, Fault Diagnosis and Isolation in Aircraft Gas Turbine Engines, Proceedings of American Control Conference, (Seattle, WA), S. Chakraborty, S. Sarkar, and A. Ray, Symbolic Identification and Anomaly Detection in Complex Dynamical Systems, Proceedings of American Control Conference, (Seattle, WA), Book Chapters 5. Aditya Balu, Sambit Ghadai, Gavin Young, Soumik Sarkar, Adarsh Krishnamurthy, A Machine Learning Framework for Decision Support in Design and Manufacturing, submitted to ASME. 4. Kin G. Lore, Dan Stoecklein, Michael Davies, Baskar Ganapathysubramanian and Soumik Sarkar, Deep Learning for Engineering Big Data analytics, Big Data Analytics: From Planning to Performance, CRC Press, Taylor & Francis Group, USA S. Sarkar, Z. Jiang, A. Akintayo, S. Krishnamurthy and A. Tewari, Probabilistic Graphical Modeling of Distributed Cyber-Physical Systems, Cyber-Physical Systems: Foundations, Principles and Applications, Elsevier, A. Srivastav, A. Tewari, B. Dong, S. Sarkar, and M. Gorbounov, Localized Uncertainty Quantification for Baseline Building Energy Modeling, Automated Diagnostics for Facility Equipment, Systems, and Whole Buildings, Fairmont Press, S. Sarkar, S. Sarkar, and A. Ray, Data-enabled Health Management of Complex Industrial Systems, Fault Detection: Classification, Techniques and Role in Industrial Systems, Nova Science Publishers, December 2013 Articles Patents 1. S. Sarkar, D. Vrabie, M. Krucinski, L. Bertuccelli, T. Lovett, S. Mijanovic, From Smart Homes to Green Cities: Role of Intelligent Diagnostics and Control in Energy Efficient Buildings, Dynamic Systems & Control Magazine, ASME Mechanical Engineering, December S. Bengea, V. Adetola, M. Krucinski, S. Sarkar, A. Srivastav, T. Lovett, K. Mukherjee, A. Ghosh, M. Chen and P. Li, Automated Functional Tests for Diagnostics and Control, US Patent Application Serial No. 62/078,735, filed November 12, 2014, and International Application Docket No. PA US 2. S. Sarkar, and A. Ray, Diagnosis and Estimation of Multiple Faults in Aircraft Gas Turbine Engines, PSU Invention Disclosure No (submitted) 1. S. Chakraborty, S. Sarkar, S. Gupta, and A. Ray, Method and System for Monitoring Refractory Walls In Slagging Gasification Systems, PSU Invention Disclosure No , U.S. Patent Application Serial No. 61/265,272, Publication Date: December 03, Engineering Skill-set Time-series analysis, Probabilistic Graphical Models, Stochastic Processes, Data mining & Machine learning, Linear and Nonlinear Systems Theory, Robust, Adaptive and Resilient Control, Distributed Control and Optimization, Network and Graph Theory, Automata Theory and Regular Languages 14 of 15

15 Mathematical Skill-set Application Areas Technical Skills Lebesgue Measure Theory, Theory of Complex Variables, Topology and Differential Geometry, Dynamical Systems and Ergodic Theory, Abstract Algebra Fault Diagnostics, Prognostics and Mitigation in Human Engineered Complex Systems, Electro-mechanical, Aerospace & Energy systems, Large Multi-agent Systems (e.g., Sensor Networks, Smart Grid and Communication Systems) Programming: MATLAB, Python, FORTRAN, C, C++, C# Computer Applications: TEX (L A TEX, BibTEX), AutoCAD, Windows applications 15 of 15