Jin Wei-Kocsis
Jin Wei-Kocsis
Associate Professor
kocsis0@purdue.edu
765-496-0023
Jin Wei-Kocsis is an Associate Professor of Computer & Information Technology (CIT). Prior to coming to Purdue University, Dr. Wei-Kocsis worked as an Assistant Professor of Electrical and Computer Engineering at The University of Akron from 2014 to 2019 and worked as a Postdoctoral Research Fellow at National Renewable Energy Laboratory (NREL) in 2014.
Her research interests include developing deep learning–driven security and privacy for cyber-physical-social systems, designing hybrid weakly supervised deep learning algorithm exploiting domain knowledge, developing blockchain-powered internet of thing (IoT)-enabled secure and privacy-preserving crowdsourced computing paradigm, designing social sensing-enabled situational awareness mechanism, designing opportunistic and attack-resilient hybrid networking infrastructure for smart grids, developing bio-inspired assured reinforcement learning–based real-time optimal decision making, designing decentralized and secure computing and networking paradigm for deep space exploration, and developing low-complexity machine learning algorithm and its digital VLSI implementation. Based on the research achievements, she has received NSF EAGER Grant, NASA Early Career Faculty Grant, DoE/SuNLaMP Award, UA NSF I-Corps Grants, and Firestone Research Initiative Fellowship Award. She has also achieved multiple best paper awards for the journal and conference publications.
Google Scholar: https://scholar.google.com/citations?user=5s7CmzYAAAAJ&hl=en
Education:
- PhD, Electrical and Computer Engineering, University of Toronto, 2014
- M.S., Electrical Engineering, University of Hawaii at Manoa, 2008
- B.E. Electronic Information Engineering, Beihang University, 2004.
- NSF Award (2022 to Present) for a project "FW-HTF-P: Interactive Multi-Human Multi-Remote-Robot Operations for the Future of Construction Work", My Role: PI, $150.000K.
- NSF EAGER Award (2021 to Present) for a project "EAGER: SaTC-EDU: Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm", My Role: PI, $299.934K.
- NASA Early Career Faculty Grant (2017 - Present) for project “RNCP: A Resilient Networking and Computing Paradigm for NASA Space Exploration”, My Role: PI, $333.020K.
- Homeland Security National Training Program Continuing Training Grant (2020 to Present) for a collaborative project "Cyber Resilience Adaptive Virtual Reality Experiences (CRAVRE)," with Texas A&M University, My Role: Co-PI, $1.5M.
- Transportation Research Board (2021 to Present) for a collaborative project "Airport Blockchain Implementation Guidebook," with InterVISTAS Consulting, Inc, My Role: Co-PI, $21036 (My Share).
- Transportation Research Board (2021 to Present) for a project "A Toolkit for Establishing Airport Catchment Areas," My Role: Co-PI, $300K
- DoE, SuNLaMP Award (2016-2019) for a collaboration project “SuNLaMP: Opportunistic Hybrid Communications Systems for Distributed PV Coordination” with National Renewable Energy Laboratory (NREL), My Role: University PI, $261.781K (My share).
- Purdue Agriculture-Polytechnic Collaborative Projects Competition (2021 to Present) for a project "Automated Monitoring and Management of Plant Nitrogen Status in Organic Farming Using Decentralized and Collaborative IoT Sensors and Image Analyses," My Role: PI, $26984
- UA NSF I-Corps (2018 - 2019) for Project “3S-Chain: Smart, Secure, and Software-Defined Networking (SDN)-Powered Blockchain-Powered Networking and Monitoring System”, $2.5K.
- UA NSF I-Corps (2019) for Project “Crowdsourced AI”, $2.5K.
- 2015 Firestone Research Initiative Fellowship Award, $10 K.
- Best Paper Award at The 1st IEEE Conference on Energy lnternet and Energy System lntegration for paper entitled “Towards Resilient Networked Microgrids Blockchain-Based Peer-to-Peer Electricity Trading Mechanism”.
- Best Paper Award at 2016 IEEE PES General Meeting for paper entitled “Towards Smarter Cities: A Self-Healing Resilient Microgrid Social Network”.
- Best Paper Award at International Journal of Electrical and Electronics Engineering Research for paper entitled “A Self-Healing Microgrid Social Network with Distributed Energy Trading Mechanism”.
- Best Paper Award Finalist (2012) at Canadian Conference on Electrical and Computer Engineering (CCECE) for paper entitled “On the Use of Cyber-Physical Hierarchy for Smart Grid Security and Efficient Control”.
Selected Patent Publication
- Blockchain-Powered Crowdsourced Computing System (US Patent No. 11,063,759)
- Blockchain-Powered Cloud Management System (Publication No. US-2020-0374127-A1)
- 3S-Chain: Smart, Secure, and Software-Defined Networking (SDN)-Powered Blockchain-Powered Networking and Monitoring System
Selected Book Chapters and Journal Articles
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Y. Wu, G.J. Mendis, and J. Wei, "DDLPF: A Practical Decentralized Deep Learning Paradigm for Internet of Things Applications," IEEE Internet of Things Journal, October 2020.
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G.J. Mendis, Y. Wu, J. Wei, M. Sabounchi, and R. Roche, "A Blockchain-Powered Decentralized and Secure Computing Paradigm," IEEE Transactions on Emerging Topics in Computing, March 2020.
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P. Srikantha, J. Wei, and D. Kundur, “Cyber-Physical Strategies for Generator Coherency in the Face of Malicious Attack,” Cyber-Physical-Social Systems and Constructs in Electric Power Engineering, IET, 2016.
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J. Wei and D. Kundur, “Biologically Inspired Hierarchical Cyber-Physical Multi-Agent Distributed Control Framework For Sustainable Smart Grids,” Cyber Physical Systems Approach to Smart Electric Power Grid, pp. 219 – 259, Springer-Verlag Inc., 2015.
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J. Zhang, A. Hasandka, J. Wei, S.M.S. Alam, T. Elgindy, A. Florita, S. Mohagheghi, B.-M. Hodge1, “Hybrid Communication Architectures for Distributed Smart Grid Applications,” Energy, Vol. 11, No. 871, pp. 1-16, 2018.
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M. Sabounchi, J. Wei, D. Lee, and D. Kundur, “Flocking-based Adaptive Granular Control Strategy for Autonomous Microgrids in Emergency Situations,” IET Cyber-Physical Systems: Theory & Applications, 2018.
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G.J. Mendis, J. Wei and A. Madanayake, “Deep Learning based Radio-Signal Identification with Hardware Design,” IEEE Transactions on Aerospace and Electronic Systems, 2019.
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M.B. Kamal, G.J. Mendis, and J. Wei, “Intelligent Soft Computing-based Security Control for Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts,” IEEE Journal of Selected Topics in Signal Processing, Vol 12, Issue 4, August 2018.
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Y. He, G.J. Mendis, and J. Wei, “Real-time Detection of False Data Injection Attacks in Smart Grids: A Deep Learning-Based Intelligent Mechanism,” IEEE Transactions on Smart Grid, Vol 8, Issue 5, September 2017.
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Y. He and J. Wei, “A Self-Healing Microgrid Social Network with Distributed Energy Trading Mechanism,” International Journal of Electrical and Electronics Engineering Research, Vol. 6, Issue 4, pp. 75 – 86, August 2016 (Best Paper).
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J. Wei, D. Kundur and K. Butler-Purry, “A Novel Bio-Inspired Technique for Rapid Real-Time Generator Coherency Identification,” IEEE Transactions on Smart Grid, Vol. 6, Issue 1, pp. 178 – 188, January 2015.
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J. Wei, D. Kundur, T. Zourntos and K. Butler-Purry, “A Flocking-Based Paradigm for Hierarchical Cyber-Physical Smart Grid Modeling and Distributed Control,” IEEE Transactions in Smart Grid, Vol. 5, Issue 6, pp. 2687 – 2700, November 2014.
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J. Wei and D. Kundur, “GOAliE: Goal-Seeking Obstacle and Collision Evasion for Resilient Multicast Routing in Smart Grid,” IEEE Transactions on Smart Grid, Vol. 7, Issue 2, pp. 567 – 579, June 2015.
Selected Conference Papers:
- Y. Wu, J. Wei and R. Roche, “A Domain Knowledge -Enabled Hybrid Semi-Supervision Learning Method,” 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Canada, November 11 - 14, 2019.
- M.B. Hossain, J. Wei and R. Roche, “Reinforcement Learning-Driven QoS-Aware Intelligent Routing for Software-Defined Networks,” 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Canada, November 11 - 14, 2019.
- M. Sabounchi and J. Wei, “An ADMM-based Decentralized Voltage Management Mechanism for Distribution Networks,” 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, October 21 – 24, 2019.
- G.J. Mendis, J. Wei, A. Madanayake, and S. Mandal, “Spectral Attention-Driven Intelligent Target Signal Identification on a Wideband Spectrum,” IEEE Cognitive Communications for Aerospace Applications Workshop (CCAA), Cleveland, OH, June 24 – 25, 2019.
- A. Madanayake, J. Wei, D. Psychogiou, S. Mandal, G.J. Mendis, N. Udayanga and Y. Wang “AI-Enabled Contextually-Aware Spectrum Sensors with Machine-Learning-Enhanced RF Circuits for Improved Spectral Efficiency in Cognitive Radio” The 4th NSF mmW RCN Workshop, Brooklyn, NY, July 12-13, 2018.
- S.S. Khan and J. Wei, “Real-Time Power Outage Detection System using Social Sensing and Neural Networks,” The 6th IEEE Global Conference on Signal and Information Processing, Anaheim, CA, November 26-29, 2018.
- M. Sabounchi, J. Wei and R. Roche, “Blockchain-Enabled Peer-to-Peer Data Trading Mechanism,” IEEE International Conference on Blockchain, Halifax, Canada, July 30 - August 3, 2018.
- M. Sabounchi and J. Wei, “A Decentralized P2P Electricity Market Model for Microgrids,” IEEE Power & Energy Society General Meeting, Portland, OR, August 5-9, 2018.
- M. Sabounchi and J. Wei, “Towards Resilient Networked Microgrids Blockchain-Based Peer-to-Peer Electricity Trading Mechanism,” Proc. IEEE Conference on Energy lnternet and Energy System lntegration, Beijing, China, CA, November 26-28, 2017 (Best Paper).
- G.J. Mendis, J. Wei and A. Madanayake, “Deep Learning-Based Intelligent Method for Automatic Modulation Classification in Cognitive Radios,” WInnCommm 2017, San Diego, CA, November 13 – 17, 2017.
- G.J. Mendis, J. Wei and A. Madanayake, “Deep Learning-Based Cognitive Radar System for Micro-UAS Detection and Classification,” WInnCommm 2017, San Diego, CA, November 13 – 17, 2017.
- M.B. Kamal and J. Wei, “Data-Driven Energy Management Architecture for More-Electric Aircrafts,” The 2017 Intelligent System Applications to Power Systems (ISAP) Conference, San Antonio, TX, September 2017.
- G.J. Mendis, J. Wei, and A. Madanayake, “Deep learning cognitive radar for micro UAS detection and classification,” IEEE Cognitive Communications for Aerospace Applications Workshop (CCAA), pp. 1-5, Cleveland, OH, June 2017.
- G.J. Mendis, J. Wei, and A. Madanayake, “Deep belief network for automated modulation classification in cognitive radio,” IEEE Cognitive Communications for Aerospace Applications Workshop (CCAA), pp. 1-6, Cleveland, OH, June 2017.
- Y. Fu, Y. He, G. J. Mendis and J. Wei, “A Privacy-Preserving Middleware Mechanism for Smart Grids,” the 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, Sichuan, China, pp. 394 – 399, April 2017.
- M.B. Kamal and J. Wei, “Attack-Resilient Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts,” Proc. IEEE Conference on Innovative Smart Grid Technologies (ISGT), April 2017.
- Y. Wu, J. Wei and B.-M. Hodge, “A Distributed Middleware Architecture for Attack-Resilient Communications in Smart Grids,” Proc. IEEE International Conference on Communications, Paris, France, pp. 1-7, May 2017.
- M.B. Kamal and J. Wei, “ANFIS-DBN Based Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts,” IEEE 2nd International Conference on DC Microgrids, Nürnberg, Germany, June 2017.
- M. Sabounchi and J. Wei, “A Decentralized Real-Time Electricity Market Mechanism for Autonomous Microgrids,” Proc. IEEE Power & Energy Society General Meeting, Chicago, IL, July 2017.
- Y. Wu, G.J. Mendis, Y. He, J. Wei, B.-M. Hodge, “An Attack-Resilient Middleware Architecture for Grid Integration of Distributed Energy Resources,” Proc. IEEE International Conference on Cyber, Physical, and Social Computing, Chengdu, China, pp. 485-591, December 2016.
- G. J. Mendis, J. Wei, and A, Madanayake, “Deep Learning-Based Automated Modulation Classification for Cognitive Radio,” Proc. IEEE International Conference on Communication Systems 2016, Shenzhen, China, pp. 1-6, December 2016.
- G. J. Mendis, T. Randeny, J. Wei, and A, Madanayake, “Deep Learning Based Doppler Radar for Micro UAS Detection and Classification,” MILCOM 2016, Baltimore, MD, pp. 924-929, November 2016.
- Y. He and J. Wei, “A Game-Theoretic Model for Energy Trading of Privacy-Preserving Microgrid Social Networks,” IEEE International Conference on Smart Grid Communications, Sydney, Australia, pp. 388-394, November 2016.
- Y. He, G. J. Mendis, Q. Gao, and J. Wei, “Towards Smarter Cities: A Self-Healing Resilient Microgrid Social Network,” Proc. IEEE Power & Energy Society General Meeting, Boston, MA, pp. 1-5, July 2016 (Best Paper).
- Q. Gao, Y. Wu and J. Wei, “Social Community-Based Scheme for preserving Privacy of Smart Meters,” ACM e-Energy Workshop, Waterloo, Canada, June 2016.
- Y. He and J. Wei, “A Distributed Energy Trading Mechanism in a Self-Healing Microgrid Social Network,” The 4th International Scientific Conference on Engineering and Applied Sciences, Beijing, China, pp. 1-5, May 2016.
- Q. Gao and J. Wei, “Towards Sustainable Smart Cities: Reducing Peak Power Consumption with Privacy-Preserving Social Networking,” CPSWeek 2016, Vienna, Austria, pp. 1-6, April 2016.
- J. Wei and G. J. Mendis “A Deep Learning-Based Cyber-Physical Strategy to Mitigate False Data Injection Attack in Smart Grids,” CPSWeek 2016, Vienna, Austria, pp. 1-6, April 2016.
- J. Wei, “A Data-Driven Cyber-Physical Detection and Defense Strategy Against Data Integrity Attacks in Smart Grid Systems,” Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP15), pp. 667 - 671, Orlando, FL, December 2015.
- A.K. Farraj, E.M. Hammad, J. Wei, D. Kundur, and K.L. Butler-Purry, “Performance of Flocking-Based Control Schemes in Smart Grid Applications,” Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP14), Atlanta, Georgia, pp. 233-237, December 2014.
- A.K. Farraj, E.M. Hammad, J. Wei, D. Kundur, and K.L. Butler-Purry, “Performance Evaluation of Flocking-Based Distributed Cyber-Physical Control for Smart Grid,” Proc. IEEE International Conference on Smart Grid Communications, Venice, Italy, pp. 964 – 969, November 2014.
- J. Wei and D. Kundur, “A Multi-Flock Approach to Rapid Dynamic Generator Coherency Identification,” Proc. IEEE Power & Energy Society General Meeting, Vancouver, Canada, pp. 1-5, July 2013.
- J. Wei and D. Kundur, “A Flocking-Based Model for DoS-Resilient Communication Routing in Smart Grid,” Proc. IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, pp. 3519-3524, December 2012.
- J. Wei, D. Kundur, T. Zourntos, and K.L. Butler-Purry, “Probing the Telltale Physics: Towards a Cyber-Physical Protocol to Mitigate Information Corruption in Smart Grid Systems,” Proc. IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, pp. 372 – 377, November 2012.
- J. Wei and D. Kundur, “Two-Tier Hierarchical Cyber-Physical Security Analysis Framework for Smart Grid,” Proc. IEEE Power & Energy Society General Meeting, San Diego, CA, pp. 1-5, July 2012.
- J. Wei, D. Kundur, T. Zourntos and K.L. Butler-Purry, “A Flocking-Based Dynamical Systems Paradigm for Smart Power System Analysis,” Proc. IEEE Power & Energy Society General Meeting, San Diego, CA, pp. 1-6, July 2012.
- J. Wei, D. Kundur and T. Zourntos, “On the Use of Cyber-Physical Hierarchy for Smart Grid Security and Efficient Control,” Proc. IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), Montreal, Canada, pp. 1-6, April-May 2012.
- J. Wei and X. Zhang, “Multiple Visual-Targets Tracking in Decentralized Wireless Camera Sensor Networks,” Proc. IEEE Military Communications Conference (MILCOM), San Jose, CA, pp. 1056-1061, October 2010.
- J. Wei and X. Zhang, “Distributed Secure Compressive Spectrum Sensing in Wireless Cognitive Radio Networks,” Proc. IEEE Military Communications Conference (MILCOM), San Jose, CA, pp. 1-6, October 2010.
- J. Wei and X. Zhang, “Decentralized Sensor-Coordination Optimization for Mobile Multi-Target Tracking in Wireless Sensor Networks,” Proc. IEEE Global Communications Conference (GLOBECOM), Miami, FL, pp. 1-5, December 2010.
- J. Wei and X. Zhang, “Energy-Efficient Distributed Spectrum Sensing for Wireless Cognitive Radio Networks,” Proc. IEEE INFOCOM Workshop on Cognitive Wireless Communications and Networking, San Diego, CA, pp. 1-6, March 2010.
- J. Wei and X. Zhang, “Two-Tier Optimal-Cooperation Based Secure Distributed Spectrum Sensing for Wireless Cognitive Radio Networks,” Proc. IEEE INFOCOM Workshop on Cognitive Wireless Communications and Networking, San Diego, CA, pp. 1-6, March 2010.
- J. Wei and X. Zhang, “Efficient Node Collaboration for Mobile Multi-Target Tracking Using Two-Tier Wireless Camera Sensor Networks,” Proc. IEEE International Conference on Communications (ICC), Cape Town, South Africa, pp. 1-5, May 2010.
- J. Wei and X. Zhang, “Decentralized-Detection Based Mobile Multi-Target Tracking in Wireless Sensor Networks,” Proc. IEEE International Conference on Communications (ICC), Cape Town, South Africa, pp. 1-5, May 2010.
- J. Wei and X. Zhang, “Sensor Self-Organization for Mobile Multi-Target Tracking in Decentralized Wireless Sensor Networks,” Proc. IEEE Wireless Communications and Networking Conference (WCNC), Sydney, Australia, pp. 1-6, April 2010.
- J. Wei and X. Zhang, “Dynamic Node Collaboration for Mobile Multi-Target Tracking in Two-Tier Wireless Camera Sensor Networks,” Proc. IEEE Military Communications Conference (MILCOM), Boston, MA, pp. 1-7, October 2009.
- J. Wei and X. Zhang, “Mobile Multi-Target Tracking in Two-Tier Hierarchical Wireless Sensor Networks,” Proc. IEEE Military Communications Conference (MILCOM), Boston, MA, pp. 1-6, October 2009.
- J. Wei, X. Wang, and V.L. Syrmos, “Multi-target Tracking in a Two-Tier Hierarchical Architecture,” Proc. IEEE International Conference on Information Fusion, Cologne, Germany, pp. 1-8, June-July 2008.
- J. Wei, X. Wang, and V.L. Syrmos, “Effcient Multi-Target Tracking with a Two-Tier Hierarchical Wireless Sensor Network,” Proc. International Conference on Software Process (ICSP), Leipzig, Germany, pp. 2596-2599, May 2008.
Provisional Patents:
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3S-Chain: Smart, Secure, and Software-defined networking (SDN)-powered Blockchain-Powered Networking and Monitoring System
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Autonomous Biomimetic RF Receiver Front-Ends with Attention and Saliency
Professional Affiliations:
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IEEE (Computer, Power & Energy, Communications, and Signal Processing Societies)
Google Scholar: https://scholar.google.com/citations?user=5s7CmzYAAAAJ&hl=en
Research Lab: https://polytechnic.purdue.edu/facilities/cyber-physical-social-systems-...
Interview with Superheroes of Science Program: https://www.youtube.com/watch?v=Qz9x9PVRIf8