Zhaojian Li
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News
09/2024: I started to serve as a co-Chair of the IEEE Vehicular Technology Society AdHoc Committee on Autonomous Vehicles.
09/2024: Kyle Lammers received the Presentation Excenllence Award at athe ASABE'S 2024 Annual International Meeting. Congratulations, Kyle!
09/2024: Dr. Dong Chen is starting a new position as an Assistant Professor at Mississippi State University. Congratulations Dong! If you are looking for PhD position in Robotics and Smart Agriculture, please reach out to Dr. Chen via chendon9@msu.edu.
08/2024: Our project "CPS: Medium: Ensure Privacy and Truthfulness in Self-interested Multi-agent Cyber-physical Systems" has been funded by the NSF CPS program. This is a collaboration with Dr. Yongqiang Wang from Clemson University.
08/2024: Dr. Fengying Dang is starting a new position at Michigan Technological University as an Assistant Professor.
07/2024: I co-taught a CPD course on "Large Language Models and Foundation Models in Agriculture: Bridging Theory and Practice" in the 2024 ASABE Annual International Meeting.
06/2024: Our paper “Advancing Orchard Fruit Detection: An Innovative Agricultural Foundation Model Approach” received a 2024 ITSC Technical Community Meeting Paper Award.
06/2024: Dr. Kaixiang Zhang has been promoted to Assistant Professor (Fixed Term) at MSU. Congratulations Kaixiang!
06/2024: Chuwei Ye and Kyle Lammers each received a 2024 MTRAC AgBio Innovation Challenge Award. Congratulations Chuwei and Kyle!
04/2024: Mohammad Hajidavalloo received the 2024 Outstanding Graduate Student Award. Congratulations Mohammad!
09/2023: Our project on "Development of an Automated and Integrated Mobile System (AIMS) for Apple Harvest and In-field Sorting" has been awarded a $3.5M grant from USDA Specialty Crop Research Initiative Program. This collaboration brings together the expertise of USDA, MSU, Penn State, and Washington State. Congrats, Team!
08/2023: I delivered a distinguished lecture talk at the 5th International Forum on Frontiers of Automation and Artificial Intelligence (FAFI 2023).
08/2023: I am awarded the Red Cedar Distinguished Professorship at Michigan State University. Cheers!
08/2023: Our project on "Collaborative Research: Scalable Data-Enabled Predictive Control for Heterogeneous Mixed Traffic Systems " has been funded by NSF. This is a collaborative project with Prof. Yang Zheng at University of California at San Diego.
07/2023: Our project on "Development of a Multi-arm Robotic Apple Harvesting System" has been funded by MTRAC.
05/2023: Our team on the development of "A New Robotic Apple Harvesting Technology" is the winner of 2023 Rain Bird Engineering Concept of the Year Award. Congratulations, Team!
05/2023: Our paper on "Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach" wins the ITSC Technical Community Meeting Paper Awards. Congratulations, Dong!
02/2023: Our project on "Integrated Design and Efficient Safe Control for Terrain-Adaptive Ultra-lightweight Vehicles" has been funded by Army.
10/2022: I gave an invited talk on "PowerNet: Deep Multi-agent Reinforcement Learning for Scalable Powergrid Control" at 2022 INFORMS.
10/2022: I gave a seminar on "Internet of Mobility: Cloud-Facilitated Privacy-Aware Collaborative Sensing and Controls" at University of Texas at Austin.
08/2022: Our project FRR: Collaborative Research: Collaborative Learning for Multi-robot Systems with Model-enabled Privacy Protection and Safety Supervision has been funded by National Science Foundation. This is a collabration with Prof. Yongqiang Wang at Clemson University.
08/2022: I gave a seminar on "Internet of Mobility: Cloud-Facilitated Privacy-Aware Collaborative Sensing and Controls" at National University of Singapore.
07/2022: I gave a talk on "Efficient and Privacy-Preserving Data-Enabled Predictive Control for Electric Vehicles" at Ford Motor Company.
06/2022: Kaian Chen successfully defended his PhD dissertation and he is joining Ford Motor Company. Congratulations, Kaian!
06/2022: Our STTR project on Wide-area Advanced Synthetic Skin with Enhanced Sensory Perception for Low-Visibility Undersea Environments has been funded by Office of Naval Research.
11/2021: My NSF CAREER project is featured on MSUToday.
08/2021: Kyle Lammers won 2021 MTRAC AgBio Innovation Challenge Award. Congratulations Kyle!
08/2021: Our STTR project on Multi-Modal Cloud Based System for Detecting Early Signs of Driver Cognitive Decline and/or High Risk Driving Behaviors has been funded by National Institute of Health.
07/2021: Our project on Deep Learning-Based Robust 3D Apple Tree Perception through Efficient Multi-Sensor Fusion by US Department of Agriculture.
04/2021: Our project on CAREER: Cloud-facilitated Privacy-aware Collaborative Sensing and Control for Intelligent and Connected Vehicles has been funded by National Science Foundation.
02/2021: Our project on Learning-Empowered Automated Phone Testing has been funded by T-Mobile USA Inc.
11/2020: Our project on Multi-Arm Soft Robots is featured at MSUToday.
08/2020: Our project "NRI: INT: SMART: Soft Multi-Arm RoboT for Synergistic Collaboration with Humans" has been Funded by National Science Foundation.
08/2020: Our project "Development of a Control and Planning System for an Apple Robotic Harvester" has been Funded by US Department of Agriculture.
08/2020: Our project "Collaborative Research: Road Information Discovery through Privacy-Preserved Collaborative Estimation in Connected Vehicles" has been supported by National Science Foundation.
09/2019: Our project "Robotic Apple Harvesting" has been supported by US Department of Agriculture.
08/2019: I gave a keynote talk at the 2019 China Process Control Conference in Kunming.
06/2019: Our project "Road information harvesting: using cars as mobile sensors" has been funded by DENSO Foundation.
04/2019: Our project "Adaptive vehicle control through clustering based system identification and model predictive control" has been funded by Ford-MSU Alliance project.
08/2018: Our project "Cloud-based driving monitoring and analytics" has been funded by Michigan Economic Development Corporation.
06/2018: I presented 2 papers and co-chaired 3 sessions at 2018 American Control Conference in Milwaukee.
05/2018: I gave a talk on Dynamic Modeling and Control with Real-Time Learning at General Motors.
04/2018: We have successfully hosted the 7th Midwest Workshop on Control and Game Theory at MSU.
03/2018: I have been invited to serve as Associated Editor and program committee member for the 2018 ASME Dynamic System and Control Conference.
01/2018: Our paper on Decentralized Fault Prognosis of Discrete-Event Systems Using State-Estimate-Based Protocols has been accepted by IEEE Transactions on Cybernetics.
12/2017: I have been invited to serve as a Program Committee member at IJCAI-ECAI 2018.
12/2017: I gave a talk at West Sydney University.
12/2017: Our project "Online engine system identification with evolving spatial-temporal filters" has been funded by Ford Motor Company.
12/2017: I gave a talk at Siemens PLM, Livonia, Michigan.
10/2017: I gave a talk at the Control Seminar at the University of Michigan, Ann Arbor.
10/2017: Our paper on Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example has been accepted by IEEE Transactions on Intelligent Transportation System.
09/2017: Our paper on Visual-Manual Distraction Detection Using Driving Performance Indicators with Naturalistic Driving Data has been accepted by IEEE Transactions on Intelligent Transportation System.
09/2017: Our paper on Infinite-Step Opacity of Stochastic Discrete-Event Systems has been accepted by 2017 Asian Control Conference.
09/2017: Our paper on Cloud Resource Allocation for Cloud-Based Automotive Applications has been accepted by Mechatronics.
08/2017: I have been invited as a member in the International Program Committee for the 5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, E-CoSM 2018.
07/2017: I served as a penalist at the 2017 AIAA Intelligent Systems Workshop in the Self-Driving Cars session.
05/2017: I co-chaired the session "Autonomous and Assisted Driving I" in the 2017 American Control Conference.
05/2017: Our book chapter on H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information published with Springer is now online.
01/2017: I have been invited to be a member of the IEEE Control Systems Society Technical Committee on Discrete-Event Systems.
11/2016: Our paper on distributed state estimation of sensor network systems subject to Markovian channel switching with an application to a chemical process has been accepted by IEEE Transactions on Systems, Man, and Cybernetics.
10/2016: Our paper on optimal state estimation for systems driven by jump-diffusion process with application to road anomaly detection has been accepted by IEEE Transactions on Control System Technology.
09/2016: Our paper on a new clustering algorithm for processing GPS-based road anomaly reports has been accepted by IEEE Transactions on Intelligent Transportation Systems.
07/2016: Our paper on road disturbance estimation and cloud-aided comfort-based route planning has been accepted by IEEE Transactions on Cybernetics.
07/2016: I presented two papers at ACC 2016, Boston, USA.
02/2016: Our paper on fault prognosis has been accepted by Automatica.
01/2016: I started my career at General Motors as an algorithm design and development engineer .
12/2015: Two of my paper were presented at CDC, Osaka, Japan.
12/2015: I defended my Ph. D. dissertation "Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles".
11/2015: Our paper on reliable decentralized fault prognosis of discrete-event systems has been accepted by IEEE Transactions on Systems.
10/2015: Our paper on road risk modeling and cloud-aided safety-based route planning has been accepted by IEEE Transactions on Cybernetics.
07/2015: I presented a paper at ACC 2015, Chicago, USA.
12/2014: I presented a paper at IEEE Symposium on CIVTS 2014, Orlando, USA.
10/2014: I presented a paper at IEEE Conference on SMC 2014, San Diego, USA.