Find Academic Supervisors

• Hydraulics
• Hydroacoustics
• Hydroinformatics
• +6 more

Dr. Wei Zeng is an ARC DECRA Fellow at the School of Architecture and Civil Engineering (University of Adelaide), specializing in hydraulics, hydroacoustics, and smart infrastructure systems. His research focuses on integrating machine learning, IoT, and physics-based modeling for water network monitoring, hydraulic transient analysis, and pipeline condition assessment. He leads the development of anomaly detection systems commercialized via the startup Adelitics Pty Ltd, deployed in five water utilities globally. His work spans smart water networks, sustainable asset maintenance, and pumped hydro energy storage, with contributions to CFD, control systems, and sensor fusion technologies. He supervises PhD students in related fields and teaches engineering courses on structural dynamics and fluid mechanics. Research Interests: Smart IoT-enabled water infrastructure systems Hydraulic transient modeling for aging energy systems Physics-informed machine learning for civil systems Hydroacoustic-based pipeline condition assessment Pumped hydro energy storage integration with renewables Key Contributions: Commercialized IoT leak detection systems through Adelitics Pty Ltd Pioneered paired-impulse response function (IRF) methods for pipeline diagnostics Developed transient prediction frameworks using physics-informed neural networks Advanced sensor placement optimization strategies for sewer systems Teaching & Supervision: Eligible to supervise PhD/Masters students in hydraulics, hydroinformatics, AI, and CFD. Active in courses covering structural analysis, fluid dynamics, and engineering statics.

• Cloud Computing
• Edge Computing
• Network Functions Virtualization
• +12 more

Fulvio Giovanni Ottavio Risso is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he is a member of the NETGROUP Computer Networks Research Group and leads research in cloud, edge, and software-defined networking. He is the Scientific Advisor of the European EIT Digital Partnership and serves as a representative for Politecnico di Torino in EIT Digital. He teaches core courses in Computer Engineering, including Cloud Computing Technologies, Enterprise Network Technologies, and Software Networking, and supervises several PhD students in advanced distributed systems. His research focuses on cloud computing, edge computing, network functions virtualization (NFV), software-defined networking (SDN), and high-speed packet processing. He has pioneered work in eBPF-based network functions through the Polycube framework and in computing continuum orchestration via the Liqo project. His interests extend to Kubernetes networking, real-time data plane optimization, and privacy-preserving infrastructure. He has led numerous EU, national, and industry-funded projects, including FLUIDOS (PNRR), NEWTON, RESTART, TOSHI, ASTRID, and NFV@EDGE. His recent work emphasizes liquid computing, borderless data spaces, and secure, scalable network services for 5G/6G. The recent publications reflect a strong trend in edge-to-cloud orchestration, secure and efficient data plane processing, and real-time performance optimization. Key themes include the use of reinforcement learning for scheduling in the computing continuum, Kubernetes-based edge orchestration, eBPF for in-kernel networking, and energy-aware task distribution. Projects like Liqo and Polycube are central to his vision of a programmable, fluid infrastructure. The integration of machine learning, real-time monitoring, and open-source frameworks underscores a commitment to practical, scalable solutions in modern distributed systems. Scientific Awards and Recognitions: No explicit awards listed in the provided text. Advising and Grants: Fulvio Risso supervises multiple PhD students including Attilio Oliva, Daniele Cacciabue, Davide Miola, Jacopo Marino, Stefano Galantino, Carlos Mateo Risma Carletti, and Federico Parola, whose research spans cloud-edge continuum, vehicular micro-clouds, and Kubernetes networking. He has led over 30 competitive and commercial research projects, including EU-funded initiatives (H2020, EIT), national PRIN projects, PNRR missions, and industry contracts with Rakuten Mobile. These grants focus on network programmability, edge computing, 5G/6G observability, anomaly detection, and secure orchestration, reflecting strong industry-academia collaboration. Labs and Research Groups: He is a key member of the NETGROUP - Computer Networks Group (DAUIN) and leads research activities in LAB 9 - Research Laboratory (DAUIN). He is also associated with the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Center for Service Robotics. His work is deeply integrated with open-source development, particularly through Liqo and Polycube, which are actively used in both research and industrial deployments.

Lynden A. ArcherView profile

Professor

• Energy Systems
• Electrochemistry
• Polymer Science
• +12 more

Lynden A. Archer is the Joseph Silbert Dean of Engineering and Professor in the School of Chemical & Biomolecular Engineering at Cornell University. He joined Cornell in 2000 and has held key leadership roles, including Director of the School of Chemical & Biomolecular Engineering (2010–2016) and Director of the Cornell Energy Systems Institute (2017–). His academic journey includes a B.S. from the University of Southern California (1989), Ph.D. from Stanford University (1993), and postdoctoral work at AT&T Bell Laboratories. B.S., Chemical Engineering, University of Southern California, 1989 Ph.D., Chemical Engineering, Stanford University, 1993 Postdoctoral Scientist, AT&T Bell Laboratories, 1993–1994 Faculty, Texas A&M University, 1994–1999 Faculty, Cornell University, 2000–present His research centers on structure, dynamics, and transport phenomena at liquid-solid interfaces , with applications in energy storage, polymers, and nanotechnology. Key areas include polymer-nanoparticle composites, viscoelastic electrolytes, and solid-electrolyte interphases for metal batteries. His group investigates how molecular-scale fluid motions influence macroscopic electrochemical behaviors, particularly in lithium, zinc, sodium, and aluminum battery systems. The 15 most recent publications (2024–2025) reveal a strong trend toward interfacial engineering for stable battery operation , focusing on suppressing dendrites, designing hybrid and solid-state electrolytes, controlling electrodeposition morphology, and developing protective coatings. Themes include electroconvection, crystallographic texturing, oligomer-based interphases, and in situ-formed polymer electrolytes, reflecting a deep integration of materials science, electrochemistry, and fluid dynamics . Scientific honors include: Elected to the National Academy of Engineering (2018) Fellow, American Physical Society (2007) National Science Foundation Distinguished Lecturer (2016) AIChE Nanoscale Science and Engineering Forum Award (2014) Thompson-Reuters World’s Most Influential Scientific Minds (2014, 2015) James & Mary Tien Excellence in Teaching Award (2008) Merrill Presidential Scholar (Most Influential Faculty, 2014) Prof. Archer leads a dynamic research group focused on energy systems, complex fluids, and nanomaterials . His work is supported by major grants in battery innovation and sustainable energy. He has contributed significantly to both fundamental science and practical battery technologies, with applications in robotics, autonomous systems, and grid storage. His teaching interests include electrokinetics, fluid mechanics, polymer physics, and thermodynamics. He directs the Cornell Energy Systems Institute, fostering interdisciplinary research in energy conversion, storage, and sustainability. His lab explores multiscale transport phenomena , with emphasis on designing materials with tailored interfacial properties for next-generation electrochemical devices.

• Soft Materials Science
• Magnetic Fluids
• Tribology
• +4 more

Dr. Yanwen Li is a Researcher affiliated with the Professorship for Food and Soft Materials Science at ETH Zürich's Institute of Food, Nutrition and Health. Her work focuses on advanced materials science, particularly magnetic fluids and their applications in damping, sealing, and energy harvesting systems. She explores bioinspired designs, smart materials, and multiphase fluid dynamics, with notable contributions to magnetic fluid shock absorbers and triboelectric nanogenerators. Her research bridges mechanical engineering, computational modeling, and industrial applications. Key research areas include magnetic fluid behavior under varying conditions, optimization of sealing systems, and development of adaptive damping technologies. She has pioneered lattice Boltzmann models for high-viscosity fluid flows and investigated bioinspired hexagonal structures for enhanced damping efficiency. Her work frequently integrates machine learning approaches, such as physics-informed neural networks for hydrodynamic lubrication analysis. Publications span 2018–2024, emphasizing energy conversion, vibration control, and material characterization. Notable trends include exploration of biomimetic principles, improvement of sealing technologies, and application of magnetic fluids in automotive and industrial systems. No scientific awards or student advisement records are explicitly mentioned in the provided data. Her contributions highlight interdisciplinary innovation in soft materials science and mechanical systems.

Jamie QuintonView profile

Professor

• Nanotechnology
• Surface Science
• Plasma Environments
• +5 more

Professor Jamie Quinton is the Head of the School of Natural Sciences at Massey University (Aotearoa, New Zealand) and holds adjunct status at Flinders University. He earned a BSc(Hons), PhD, and multiple professional certifications (e.g., Chartered Physicist). His research focuses on surface modification, nanotechnology, and plasma environments, with applications in corrosion protection, aerospace materials, and fusion reactor technologies. He has held leadership roles, including Associate Dean (Teaching and Learning) at Flinders and roles in international organizations like the IUVSTA. His awards include the ALTC Citation for Teaching Excellence and the UniJobs Lecturer of the Year. Education: PhD in surface physics from the University of Newcastle (2001), postdoctoral work at Rutgers University, and academic roles progressing from Lecturer (2003) to Professor (2014) at Flinders. His teaching emphasizes contextual learning through innovative ICT tasks. Professional engagements include roles with the Australian Institute of Physics and curriculum development for the SACE Board. Research Interests: Smart surface architectures, 3D printing of metals, carbon-based molecular electronics, and sustainable materials. Key techniques include XPS, SEM, and synchrotron measurements. He has supervised numerous high-achieving students, including medalists and award winners. His recent work explores fluid dynamics in nanomaterials and leadership in higher education. Awards: Over a dozen teaching and leadership recognitions, including national and institutional honors. Current roles include leadership at Massey and maintaining Flinders affiliations. Expertise spans surface science, nanotechnology, and science-industry collaboration.

• Computer Science
• Human-Computer Interaction
• Virtual Reality
• +5 more

E. Rukzio is a prominent researcher in Computer Science with a focus on Human-Computer Interaction (HCI) , Virtual Reality (VR) , and Mobile Interaction . Their work spans disciplines like Engineering and Psychology , emphasizing user experience and innovative interaction techniques. Research Interests include: Designing cross-device interaction styles (e.g., mobiles and surfaces). Improving touch performance on smartphones through error compensation functions. Creating co-located VR experiences for both HMD and non-HMD users. Investigating biometric feedback and strategic interdependence in VR games. Optimizing typing behavior on mobile virtual keyboards. Publication Trends reveal a focus on Human Factors in Computing Systems , Mobile HCI , and Ambient Intelligence . Key subtopics include VR mechanics , tracking offsets , multiplayer game design , and ubiquitous computing . Collaborative work with co-authors like Jan Gugenheimer and Mark Colley highlights their interdisciplinary approach. Notable Contributions include the ShareVR prototype for collaborative VR, studies on touch accuracy for over 100 million taps, and frameworks for co-located asymmetric VR gameplay.

Nadia Saad NooriView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Computer & Machine Vision
• +10 more

Nadia Saad Noori is an Associate Professor at the Department of Information and Communication Technology at the University of Agder (UiA). Since 2016, she has conducted research and teaching at CIEM - Centre for Integrated Emergency Management , and joined NORCE Norwegian Research Center as a Senior Researcher in 2018. Her work bridges industry experience (Cisco, hi-tech startups) with academic rigor , focusing on technology integration in crisis management , cybersecurity , and industrial monitoring systems . Her educational background includes: B.Sc. & M.Sc. in Computer Systems Engineering M.A.Sc. in Technology Innovation Management Ph.D. in Electronic and Information Systems Engineering Research interests span machine learning , autonomous systems , and security frameworks through: Disaster response coordination systems Industrial condition monitoring Humanitarian technology solutions Cyber-physical systems Recent publications demonstrate technical breadth : 2024: Thermal gesture recognition and UAV navigation in industrial spaces 2023: Cybersecurity frameworks and ecological pattern recognition 2022: Industrial seal diagnostics and autonomous systems She leads research groups in: Autonomous and Cyber-Physical Systems (ACPS) CIEM - Integrated Emergency Management Communication and System Security

• Intelligent and advanced control
• Optimization and modeling of systems
• Virtual and intelligent instrumentation
• +3 more

Andrés José Piñón Pazos is a researcher at the Department of Industrial Engineering within the Ferrol Polytechnic School of Engineering at University of A Coruña (UDC). His work focuses on intelligent and advanced control, optimization and modeling of systems, and virtual and intelligent instrumentation. He teaches both required and optional courses in Industrial and Automatic Electronic Engineering, Industrial Informatics and Robotics, and Mechanical Engineering programs. Research interests include: Intelligent control systems development Industrial process optimization Virtual instrumentation design Smart monitoring systems Automation solutions Energy efficiency improvements Scientific contributions: Registered software (2014) Multiple patents (2013, 2008, 2005) Over 15 research articles International conference publications Key grants and contracts include projects with: Spanish Foundation for Science and Technology (FECYT) Instituto Tecnológico de Castilla y León (ITCL) Galician Department of Education Ministry of Science and Innovation Navantia shipyard International collaborations

Florian ZillView profile

Researcher

• Computational Geosciences
• Geomechanics
• Numerical Modeling
• +4 more

Florian Zill is a Researcher in the Department of Environmental Informatics at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. He is an active contributor to the OpenGeoSys project, an open-source scientific software for simulating thermo-hydro-mechanical-chemical processes in porous media. His work focuses on developing computational tools and models for environmental and geoscientific applications, with particular emphasis on rock salt mechanics and multi-physics simulations. Dr. Zill's research spans computational geosciences, geomechanics, and numerical modeling, with expertise in thermohydromechanical processes, rock salt behavior, and open-source software development. His work bridges theoretical geoscience with practical computational tools, enabling more accurate simulations of complex environmental systems. He has made significant contributions to understanding fluid flow and mechanical behavior in geological formations, particularly relevant for nuclear waste disposal and subsurface engineering applications. Analysis of Dr. Zill's recent publications (2021-2024) reveals a strong focus on developing and applying computational tools for simulating thermohydromechanical processes in geological formations, particularly rock salt. His work demonstrates expertise in both theoretical modeling and practical software implementation, with significant contributions to the OpenGeoSys platform. The research spans fundamental geomechanics, environmental safety assessment, and software engineering for scientific computing. Dr. Zill is an active member of the OpenGeoSys development team at UFZ, collaborating with researchers across multiple institutions on projects related to environmental modeling, nuclear waste disposal safety assessment, and subsurface engineering. His work contributes to the broader mission of the Helmholtz Centre for Environmental Research in addressing complex environmental challenges through interdisciplinary research and innovative computational approaches.

Nunzio TuccittoView profile

Associate Professor

• Molecular Communication
• Nanomaterials
• Physical Chemistry
• +3 more

Nunzio Tuccitto is an Associate Professor of Physical Chemistry at the University of Catania. His research focuses on molecular communication systems for wave-denied environments, hazardous gas detection, and big-data processing for mass spectrometry. He supervises PhD students and leads major EU-funded projects like ERMES. Education : PhD in Chemistry (2007), University of Catania Research Interests : Designing nanomaterials for molecular communication, developing carbon-based sensors for warfare agents/explosives, and advancing machine learning methods for multisensor data. His work bridges physical chemistry, nanotechnology, and biomedical engineering. Recent Research Trends : 2020s publications emphasize quantum dots for biological fluid communication, lemon waste-derived nanomaterials, and environmental pollutant monitoring via drones. Key themes include signal reliability, biocompatibility, and sustainable synthesis techniques. Scientific Awards ACM NanoCom 2024 Best Work-In-Progress Paper Italian Chemical Society 2021 Distinguished Oral Presentation Royal Society of Chemistry's Beynon Prize (2009-2010) FAMELAB-2018 Catania Winner Advising & Grants : Supervises 3 PhD students. Coordinates €3.7M EU ERMES project (2025-2028) and leads multiple national/international grants totaling €26M. Collaborates with institutions in Poland, Belgium, Canada, and Germany. Labs & Teams : Member of the Department Board, vice-coordinator of Materials Science PhD school, and leads 60 researchers in SiciliAn Micronanotech Center's Environment WP.

Francesco FreddiView profile

Associate Professor

• Solid and Structural Mechanics
• Fracture Mechanics
• Phase-Field Modeling
• +12 more

Francesco Freddi is an Associate Professor of Solid and Structural Mechanics at the Department of Engineering and Architecture, University of Parma, where he has been a faculty member since 2015. He previously served as Assistant Professor (2007–2015) and Research Associate (2006–2007) at the same institution. He earned his Ph.D. in Solids and Structural Mechanics from the University of Bologna in 2004 and a Master’s in Civil Engineering from the University of Parma in 2000. His research focuses on solid and structural mechanics , with emphasis on fracture mechanics , phase-field modeling , structural health monitoring , and computational methods . He leads advanced research in digital twins , AI-based monitoring systems , and failure modeling in civil structures . His recent work integrates machine learning and sensor technologies for predictive maintenance of bridges and railway infrastructure. The most recent publications highlight trends in digital twin applications , wireless monitoring systems , neural network-based model updating , and phase-field modeling of fracture in complex materials. These reflect a strong interdisciplinary approach combining mechanics, data science, and civil infrastructure resilience. Scientific Awards and Distinctions: Fellowship to attend the Third MIT Conference on Computational Fluid and Mechanics (2005) Scientific Collaborator, School of Civil Engineering, Tongji University (2022–2023) Research Fellow at IAC-CNR Rome (2017–2021, 2021–present) Prof. Freddi has supervised multiple Ph.D. students and postdoctoral researchers, including H. Hasani, A. Ballout, L. Mingazzi, and F. Vadalà. He has secured significant research funding from MIUR-PRIN , Marie Curie , ReLUIS , and European PNRR programs. He is the Principal Investigator of projects such as Dynamic Interactive Digital Monitoring Systems for Bridge Management (Marie Curie), TWYRES: a digital TWin for fracture and fatigue simulations in tYRES (MIUR-PRIN 2022), and MATHPROCULT (MIUR-PRIN-PNRR). He also coordinates industrial research contracts with companies like FIAMA, SISGEO, and B&S s.r.l., and public infrastructure assessments for the Province of Parma. He is actively involved in scientific leadership, serving on editorial boards of journals including Frontiers in Materials , Current Physics (Interfaces) , and Materials (Guest Editor). He has organized minisymposia at major conferences such as AIMETA, SIMAI, and IUTAM, and has delivered over 15 invited seminars globally. He is a founding member of the Sustainable Mobility Center and the ECOSISTER Hub at the University of Parma, contributing to national research innovation ecosystems.

Eun Jung ChaeView profile

Assistant Professor

• Computational Fluid Dynamics (CFD)
• Fluid-Structure Interaction (FSI)
• Smart/Adaptive Propulsion Systems
• +4 more

Dr. Eun Jung Chae is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at California State University, Long Beach. She specializes in numerical, theoretical, and physical modeling of single/multiphase flows in smart/adaptive propulsion systems, Unmanned Aerial Vehicles (UAV), and energy conversion systems. Her research emphasizes Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) simulations of flexible lifting bodies, focusing on aeroelastic response, stability, and flow-induced vibrations. She developed a novel FSI coupling model to analyze stability boundaries and instability modes in adaptive systems. Current projects investigate aerodynamic benefits of morphing wings for aircraft adaptation to off-design conditions through combined numerical simulations and experiments. Contact: Office: ECS-630 Phone: 562.985.2096 Email: eunjung.chae@csulb.edu Advising Hours: Mon./Wed. 11:00-12:00 pm (BSAE-Advisor@csulb.edu)

Michael SelzerView profile

Researcher

• Computational Materials Science
• Phase-Field Modeling
• Research Data Management
• +7 more

Dr.-Ing. Michael Selzer is a Group Leader in Research Data Management at the Karlsruhe Institute of Technology (KIT), specifically within the Institute of Nanotechnology. He leads the Kadi4Mat project, focusing on FAIR (Findable, Accessible, Interoperable, Reusable) research data infrastructure for materials science. His work bridges computational modeling and digital research workflows. Research Interests: Michael Selzer specializes in computational materials science , with a strong emphasis on phase-field modeling for simulating microstructure evolution, fracture mechanics, and multiphase systems. His research extends to materials informatics , digital workflows , and research data management , particularly in the context of battery materials, porous media, and solid-state systems. He integrates machine learning and data science to analyze and optimize materials properties. Publication Trends: His recent publications (2023–2025) highlight a growing focus on FAIR data infrastructure (e.g., Kadi4Mat, KadiStudio), large language models in battery science (LISA), low-code simulation platforms (MUSICODE), and reproducibility in bioprinting . These reflect a strategic shift toward digitalization and automation in materials research, while maintaining a strong foundation in physics-based modeling. Scientific Contributions: Developed and advanced phase-field models for grain growth, crack propagation, and interfacial phenomena. Contributed to the development of Kadi4Mat, a research data infrastructure for materials science. Integrated machine learning and AI into materials characterization and battery research. Published extensively in journals such as Acta Materialia , Computational Materials Science , and Scientific Data . Advising and Grants: While no direct students are listed, his leadership role in Kadi4Mat suggests mentorship and team supervision. He has likely secured funding for digital infrastructure and computational materials projects, evidenced by sustained publication output and collaborative work with major institutions. His research is highly collaborative, involving teams across KIT and international partners. Labs and Teams: He leads the Research Data Management group under the Kadi4Mat initiative at KIT. This team focuses on developing digital tools for materials research, including electronic lab notebooks (KadiWeb), workflow automation (KadiStudio), and ontology-based data integration. The group operates at the intersection of computational science, data engineering, and materials discovery.

Georgios ManiatisView profile

Senior Lecturer

• Fluvial Geomorphology
• Sediment Transport
• Environmental Sensor Technology
• +4 more

Georgios Maniatis is a Senior Lecturer at the School of Applied Sciences, University of Brighton, and a Honorary Research Associate at the University of Glasgow. His expertise lies in fluvial geomorphology, focusing on sediment transport sensing, advanced topographic sensing, and hydromorphological classification. He holds a PhD in Geography and Computing Sciences from the University of Glasgow (2017), an MSc in Freshwater Systems Science (2012), and a 5-year Diploma in Environmental Engineering from the Technical University of Crete (2011). His research integrates emerging technologies like smart pebbles (IMU sensors) and UAV-based LiDAR to study river dynamics, geomorphic change detection, and environmental monitoring. He has collaborated with organizations such as the Scottish Environmental Protection Agency (SEPA) and Scottish Water, contributing to river management and restoration projects. Key areas of interest include sediment transport mechanics, sensor development, statistical modeling, and data coherence analysis. Maniatis has led or co-led projects funded by NERC and the UK Environment Agency, focusing on topics like pollution incident metrics, airborne particulate matter exposure during the pandemic, and river pipeline risk assessment. He actively supervises postgraduate research in fluvial geomorphology, sediment transport modeling, and river engineering. His publications span over 30 peer-reviewed articles, emphasizing sensor technology validation, geomorphic change quantification, and interdisciplinary applications. He is committed to advancing environmental monitoring techniques through innovative sensor systems and collaborative research initiatives.

Shu-Ching ChenView profile

Professor

• Data Science
• Multimedia Big Data
• Disaster Information Management
• +8 more

Shu-Ching Chen is a Professor and Executive Director of the Data Science and Analytics Innovation Center (dSAIC) at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University and has extensive experience in data science, multimedia big data, disaster information management, AI/ML, and AR/VR. He leads a multi-university research center focused on data analytics, AI, and societal impact. Research Interests: His research spans data science , multimedia big data , disaster informatics , AI/ML , and spatial computing . He has pioneered work in multimodal data fusion, multimedia retrieval, and intelligent systems for disaster response and climate modeling. His recent work emphasizes AI-driven solutions for public health, transportation, and environmental resilience. The 15 most recent publications reflect a strong trend in AI for societal challenges , including pandemic response, disaster management, climate modeling, and transportation analytics. His work integrates deep learning , graph neural networks , remote sensing , and multimodal data fusion , often applied to real-world problems in public safety, healthcare, and infrastructure. There is a clear emphasis on practical software systems (e.g., hurricane loss modeling) and interdisciplinary collaboration . Scientific Honors: IEEE Fellow (2016), AAAS Fellow (2016), AIMBE Fellow (2025), AAIA Fellow (2021), SIRI Fellow (2009) ACM Distinguished Scientist (2011) Best Paper Awards (2006, 2016, 2022) IEEE TCMC Impact Award (2024), Service Award (2019) FIU Top Scholar (2011, 2012), Eminent Scholar (2014–2019) Research Leadership and Grants: Dr. Chen has secured major funding from NSF, NIH, DHS, DOE, NOAA, DoD, and industry partners (Microsoft, IBM). He is PI of a U.S. Department of Education Center of Excellence in AI-Empowered Spatial Computing and leads the dSAIC. His grants focus on AI for disaster management, pandemic response, transportation, and secure computing. He actively mentors students and collaborates across institutions. Labs and Centers: He leads the Data Science and Analytics Innovation Center (dSAIC) , a University of Missouri System-wide center. He is also PI of the AI-Empowered Spatial Computing Center of Excellence funded by the U.S. Department of Education.