Find Academic Supervisors

Soon-Jo ChungView profile

Professor

• Aerospace Robotics
• Autonomous Systems
• Nonlinear Control Theory
• +4 more

Soon-Jo Chung is the Bren Professor of Control and Dynamical Systems at the California Institute of Technology (Caltech) and serves as a Senior Research Scientist at NASA's Jet Propulsion Laboratory (JPL). He holds a B.S. from KAIST (1998), S.M. and Sc.D. from MIT (2002, 2007). Chung's research bridges theoretical control systems with practical aerospace robotics, focusing on autonomous spacecraft, distributed systems, and fault-tolerant control. His work emphasizes nonlinear dynamics, guidance, navigation, and control for aerial and space vehicles. Education: Bachelor of Science, Korea Advanced Institute of Science and Technology (KAIST), 1998 Master of Science, Massachusetts Institute of Technology (MIT), 2002 Doctor of Philosophy (Sc.D.), Massachusetts Institute of Technology (MIT), 2007 Research Interests: Chung’s lab at Caltech develops algorithms for autonomous systems, including resilient multi-agent spacecraft inspection, interstellar object rendezvous, and adaptive flight control under sensor failures. He pioneers work in neural networks for robotics, thermal imaging systems for aerial vehicles, and safety-critical control architectures. His research often involves experimental validation with real-world systems. Publications Overview: His recent work explores Bayesian active sensing for fault estimation, certified safe motion planning for multi-agent systems, and meta-learning approaches for disturbance-aware control. Themes include robustness, adaptability, and formal guarantees in autonomous systems. Awards: Chung was honored as a Bren Scholar (2016–2019) and has received recognition for Best Paper awards in his field. Lab & Collaborations: As head of Caltech’s Autonomous Robotics and Control Lab, he collaborates with JPL on space missions and NASA initiatives. His team designs systems for lunar exploration, interstellar navigation, and urban aerial robotics, emphasizing practical implementation of theoretical advancements.

Jonas HanssonView profile

Associate Professor

• Policing
• Police Mental Health
• Stress Management
• +6 more

Jonas Hansson serves as Associate Professor at the Unit of Police Work, Umeå University, where he conducts research and teaches across bachelor's and master's police programs. A former police officer with extensive field experience as supervisor, field training officer, and tactics instructor, he holds a PhD in Public Health (2017) from Umeå University's Department of Public Health and Clinical Medicine. His academic profile includes roles as Research and Science Correspondent for CEPOL and Conference Director for LEPH2023Umeå. Research interests center on policing dynamics with emphasis on mental health, stress management, AI integration, tactical decision-making, and conflict resolution. His work examines police officers' coping mechanisms, discretion in high-stakes situations, situation awareness during interventions, and ethical challenges in asylum processes. Current projects include AI-assisted police work development and studies on gender-based harassment within police organizations. Distinguished university teacher award recipient Hansson supervises bachelor's, master's, and doctoral theses in police work while leading significant research initiatives including the Mareld project on prioritized neighborhoods and evaluations of electroshock weapons (CEW). His work bridges academic rigor with practical policing applications, focusing on improving officer well-being and operational effectiveness through evidence-based approaches.

• Human Factors
• Human-Systems Integration
• Aerospace Human Factors
• +3 more

Barrett Caldwell is a Professor of Industrial Engineering at Purdue University's Edwardson School of Industrial Engineering, with dual affiliation in Aeronautics and Astronautics. Based in the GRIS building on West Lafayette campus, he directs the GrouperLab research group and serves on the EPICS Curriculum Committee. His research centers on Human-Systems Integration across aerospace human factors (aviation weather decision-making, spaceflight crew coordination), healthcare systems engineering (sleep management, chronic care), and distributed team coordination (humanitarian operations, cyber security). He applies systems engineering principles to design safety-critical solutions that enhance human performance through physiological monitoring, machine learning, and augmented reality technologies. Analysis of his 2023-2025 publications reveals a strong trend toward transdisciplinary integration of physiological data streams, resilience engineering, and user-centered design to address challenges in high-stakes environments. His work consistently bridges theoretical human factors with practical applications in aviation, space exploration, and healthcare delivery systems. The GrouperLab serves as the primary research hub for Caldwell's investigations, fostering collaboration across engineering disciplines to develop innovative approaches for complex system coordination and human-automation interaction.

Ayşe Filiz SunarView profile

Professor

• Remote Sensing
• Geographic Information Systems (GIS)
• Photogrammetry
• +12 more

Ayşe Filiz Sunar is a Professor in the Department of Geomatics Engineering at Istanbul Technical University, Faculty of Civil Engineering. She has a distinguished academic and research career in remote sensing, photogrammetry, and GIS applications in environmental and urban domains. Her work spans international collaborations with institutions in Italy, Finland, and the EU, and she has led numerous national and international projects. Her educational background includes a PhD in Geodesy and Photogrammetry Engineering from Istanbul Technical University. She has held academic positions at Politecnico di Milano, University of Padova, and University of Bristol, and has served as a project referee for EU Horizon programs. Her research interests include remote sensing , GIS for planning , photogrammetry , urban expansion monitoring , forest fire risk assessment , water quality analysis , and crop monitoring . She applies advanced techniques such as machine learning, image fusion, and sensor integration to solve environmental and urban challenges. The recent articles demonstrate a strong focus on environmental monitoring , especially in water quality (e.g., Gulf of Izmit), forest fire dynamics , agricultural assessment , and image processing . Her work increasingly integrates machine learning and multi-sensor data fusion (e.g., SAR and optical) for improved accuracy and insight. Best Poster Presentation Award ISPRS and URSI, 2018 The IIER Excellent Paper Award, 2018 She has advised numerous graduate students and researchers, often co-authoring with them on topics like urban change, land cover classification, and disaster management. She has been Principal Investigator on TÜBİTAK and EU-funded projects such as Gaining Additional Urban Space (GAUS) , ITACA , and Detecting is not enough: Fire Event Situation Awareness from Earth Observation (FirE-SAFE) . She is actively involved in editorial roles for ISPRS, ASPRS, and Springer publications, and has contributed to books and conference proceedings on remote sensing and GIS. She leads research integrating remote sensing with GIS for archaeological investigations, coastal monitoring, and urban planning.

Mark SnyderView profile

Professor

• Computer Science
• Autonomic Mobile Sensor Networks
• Coverage Algorithms
• +7 more

Mark Snyder is a Professor in the School of Business and Technology at Florida SouthWestern State College (FSW). His academic and professional background bridges advanced computer science research with real-world software development in high-impact industries such as travel technology and cybersecurity. Education: Ph.D. in Computer Science, Missouri University of Science & Technology, 2014 M.S. in Computer Science, Missouri University of Science & Technology, 2008 B.S. in Computer Science, University of Central Missouri (formerly Central Missouri State University), 1987 Dr. Snyder's research focuses on autonomic mobile sensor networks, coverage algorithms, fault tolerance, and cybersecurity, particularly in DNS and bandwidth attack defense. His work combines theoretical algorithm design with practical applications in distributed and mobile systems. He has published in journals and conferences including the International Journal of Space-Based and Situated Computing and IEEE LCN. His recent publications show a strong trend in developing robust, self-organizing algorithms for mobile sensor networks under mobility constraints, as well as applying game-theoretic models to network security. These works span topics from exploratory coverage to statistical defenses against cyberattacks, reflecting a deep integration of distributed computing and security. Dr. Snyder has no listed scientific awards in the provided text. He is actively involved in teaching software development to early-career and vocational rehabilitation students, preparing them for successful careers in tech. His courses include COP 1000, COP 1822, COP 2360, COP 2362, COP 2700, CGS 1100, CIS 2321, CTS 1131, and CTS 1133. He has also led innovative projects such as the Allegiance game at Microsoft Research and developed navigation software for cruise ships. No grants or advising relationships are detailed in the text. His industry experience includes key roles at Microsoft and Expedia, where he helped build the first online travel reservation system and architected major systems like Expedia Rewards and Cruise Reservation. He has also worked as a consultant on location-aware services for Princess Cruise Lines.

Stacey ScottView profile

Professor

• Human-Computer Interaction
• Interaction Design
• User-Centred Design
• +3 more

Stacey Scott is a Professor and Director of Graduate Studies at the University of Guelph 's School of Computer Science. With a focus on Human-Computer Interaction and User-Centred Design , her research explores interface design for emerging technologies in entertainment and agriculture. She leads the Collaborative Systems Laboratory (CSL), which operates in both Guelph's School of Computer Science and Waterloo's Department of Systems Design Engineering . Her interdisciplinary work spans: Precision Livestock Farming (digital technologies for animal welfare) Animal-Computer Interaction (designing interfaces for non-human species) Multi-Display Environments (collaborative spaces with digital tabletops/walls) Global Fan Experiences (K-pop live streaming interfaces) Recent publications demonstrate expertise in cross-device interaction , awareness systems , and collaborative workflows . She is actively seeking students with backgrounds in psychology, sociology, or animal behavior who possess strong technical capabilities.

Yusun ChangView profile

Professor

• Vehicular Ad Hoc Networks (VANETs)
• Wireless Mobile Networks
• Intelligent Transportation Systems
• +4 more

Dr. Yusun Chang is Professor and Chair of the Robotics and Mechatronics Engineering department at Kennesaw State University, with a joint appointment as Adjunct Professor in Electrical and Computer Engineering at Georgia Tech. He directs the Vehicular Ad-hoc Networking (VANET) research laboratory, a collaborative initiative between both institutions established in 2010. Education Ph.D. Electrical and Computer Engineering, Georgia Institute of Technology (2007) M.S. Electrical Engineering, Columbia University (2002) M.S. Electrical Engineering, Korea Aerospace University (1995) B.S. Electrical Engineering, Korea Aerospace University (1993) Research Focus Dr. Chang's research encompasses wireless mobile networks with emphasis on protocol design and optimization for Wireless Multimedia Communications, Vehicular Ad Hoc Networks (VANETs), and Intelligent Transportation Systems (ITS). He pioneered the "Sustainable Mobile Networking" paradigm, leveraging intelligent communication technology to reduce traffic congestion, improve transportation safety, and support autonomous mobility solutions. His interdisciplinary work spans robotics, sustainable energy systems, and biomedical applications. Publication Trends Recent publications (2022-2025) demonstrate expanding research horizons into biologically inspired networking, context-aware systems, assistive robotics, and sustainable technology. Key innovations include modular robotic platforms, solar-powered underwater exploration vehicles, gesture-controlled exosuits, biomedical sensing systems, and programmable network architectures. The work consistently integrates machine learning with practical engineering solutions. Awards and Honors KSU Distinguished Professor Award (2021) - Highest faculty honor KSU Outstanding Research and Creative Activity Award (2020) Distinguished Scholarship Award from College (2020) Distinguished Professor Award from College (2021) Laboratory Leadership As director of the VANET research laboratory since 2010, Dr. Chang leads joint research between Kennesaw State University and Georgia Tech, focusing on vehicular networks, intelligent transportation, and mobile communication systems. The lab serves as a hub for interdisciplinary projects bridging networking, robotics, and biomedical applications.

• Human-Machine Interaction
• Automated Driving Systems
• Human-AI Cooperation
• +4 more

Prof. Dr.-Ing. Frank Flemisch serves as Professor at RWTH Aachen University within the Faculty of Mechanical Engineering, specifically affiliated with the Institute of Automotive Engineering (IAW). His office is located in the Collective Building of the Faculty of Mechanical Engineering at Eilfschornsteinstraße 18, Aachen, with direct contact via +49 241 80-99435 and email f.flemisch@iaw.rwth-aachen.de. Professor Flemisch specializes in system ergonomics with research spanning human-machine interaction, automated driving systems, and human-AI cooperation. His work focuses on meaningful human control frameworks, confidence horizons in cooperative systems, and capability-based task allocation between humans and machines. Recent publications reveal a strong emphasis on defense technology integration, teleoperation systems, and cognitive aspects of human-system interaction in automated environments. Analysis of his publication trends shows consistent exploration of holistic models for human-AI integration, particularly through bow-tie frameworks that balance human control with system autonomy. His research bridges theoretical concepts like human capability conjugation with practical applications in automotive and defense contexts, emphasizing stakeholder-oriented design and agile development methodologies. Much of his recent work addresses the critical transition points where human operators must interact with or take over from automated systems. Professor Flemisch actively contributes to the development of cooperative vehicle systems, with significant attention to human factors in teleoperated vehicles and the psychological aspects of human-machine teaming. His approach integrates cognitive science principles with engineering design to create more intuitive and trustworthy automated systems across multiple domains including automotive, aerospace, and defense applications.

Celina Tabea VetterView profile

Researcher

• Human Factors
• Automation
• Training Systems
• +5 more

Celina Tabea Vetter is a researcher at Zurich University of Applied Sciences (ZHAW), School of Engineering, Department of Human Factors. Her work focuses on human-machine collaboration, evidence-based training, and psychophysiological data analysis in aviation contexts. Research Interests: Human Factors in Aviation Artificial Situational Awareness Eye-Tracking Analysis Automation-Team Dynamics Competence Training via Performance Feedback Projects: Deputy project leader for both ongoing "Achieving Human-Machine Collaboration with Artificial Situational Awareness" and completed "Foundation for Advancing Automation." Scientific Awards: Best of Track Award (Human Factors), DASC 2024 Connect via LinkedIn or email celina.vetter@zhaw.ch for collaboration.

Robin AbendscheinView profile

Researcher

• Human Factors in Safety-Critical Systems
• User Experience Design for Fundamental Values
• Inclusive Design
• +5 more

Robin Abendschein is a Researcher at the Chair of Psychological Ergonomics within the Institute for Human-Computer-Media , part of the Faculty of Human Sciences at Julius-Maximilians-University Würzburg . She holds an M.Sc. in Human-Computer Interaction from the same university and a B.Sc. in Business Information Systems from Baden-Württemberg Cooperative State University (Mosbach). Studied Human-Computer Interaction (M.Sc.) at University of Würzburg Completed research internship in Dementia Aging Technology Engagement (DATE) Lab, University of Toronto B.Sc. in Business Information Systems from Baden-Württemberg Cooperative State University Her research focuses on Visual Attention Distribution , Situational Awareness , and Privacy in technology design, with a specialization in Accessibility & Inclusive Design for marginalized populations. Her work bridges Human Factors and User Experience Design for Fundamental Values , particularly in safety-critical systems and extended reality environments. Recent publications emphasize trends in Mixed Reality Accessibility for Dementia , Metaverse Usability , and Emergency Handover Optimization . She has collaborated extensively with the Psychological Ergonomics team and contributed to developing inclusive design frameworks through empirical studies involving diverse user groups. Current teaching activities include: Accessibility & Inclusive Design Methods of User-Centered Design She is affiliated with the Psychological Ergonomics team at the Institute for Human-Computer-Media , and her future work aims to validate accessibility guidelines through experimental testing.

Rajendra AkerkarView profile

Professor

• Artificial Intelligence
• Big Data Analytics
• Semantic Technologies
• +5 more

Rajendra Akerkar is a Professor and coordinator of the Big Data and Emerging Technologies subgroup at the Western Norway Research Institute. With over 30 years in academia across Asia, Europe, and North America, he specializes in combining theoretical AI research with practical applications for societal benefit. Research Focus: Artificial Intelligence for crisis management (resilient communities, situational awareness) Social cybersecurity (hate speech prevention, misinformation) Urban transport systems optimization Energy analytics through data-driven approaches Semantic technologies and intelligent information systems Scientific Awards: DAAD Exchange Fellowship BOYSCASTS Young Scientist Award Leadership & Publications: Associate Editor for International Journal of Metadata, Semantics and Ontologies and Editor for Web Intelligence . Published 16 monographs, 154 scientific articles, and coordinated international networks like ISO15926 Semantic Web Technologies Network.

Umakishore RamachandranView profile

Professor

• Distributed Systems
• Edge Computing
• Sensor Networks
• +5 more

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

Mohammad HabibiView profile

Assistant Professor

• Cyber-Physical Systems
• Intelligent Manufacturing
• Mechatronics
• +3 more

Mohammad Habibi serves as an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Tennessee State University's College of Engineering. His office is located in IND 103, with contact available via phone (615-963-5248) or email (mhabibi@tnstate.edu). Dr. Habibi's academic credentials include: Ph.D. in CISE (Robotics & Computer Integrated Manufacturing), Tennessee State University, 2014 M.S. in CISE (Systems Engineering), Tennessee State University, 2003 B.S. in Electrical Engineering, Z. H. College of Engineering and Technology, Aligarh Muslim University, India, 1989 His research program centers on three interconnected domains: Cyber-Physical Systems implementation in infrastructure, intelligent manufacturing processes integrating mechatronics, and advanced materials engineering to combat thermal degradation. This work manifests in practical applications spanning surveillance analytics, robotics, and sustainable manufacturing systems, with publications demonstrating consistent interdisciplinary contributions across engineering and computer science. Publication trends reveal an evolution from foundational visual analytics research (2011-2014) focused on surveillance data exploitation to recent theoretical advances in stochastic control (2019) and educational innovation (2018). His 11 documented publications span power systems engineering, robotics, and data science, reflecting a career-long commitment to solving complex engineering problems through computational methods. No scientific awards are documented in the provided materials. Dr. Habibi actively mentors students through capstone projects involving AI-driven manufacturing monitoring, digital twin development, and UAV applications. His teaching portfolio covers core mechanical engineering subjects including mechatronics, manufacturing processes, and materials engineering, with courses designed to bridge theoretical concepts and industrial applications using platforms like LEGO-EV3 and Proteus simulation. Though no formal lab structure is documented, his research manifests through student-led projects in cyber-physical systems and intelligent manufacturing, utilizing robotics platforms, microcontroller systems, and simulation environments to address real-world challenges in infrastructure monitoring and industrial automation.

• Optical Materials and Waveguides
• Optical Imaging
• Optical Security
• +6 more

Professor Radhakrishna Prabhu is a distinguished academic at Robert Gordon University's School of Computing, Engineering & Technology, where he leads the Instrumentation & Sensors Research Group and is affiliated with the Robotics & Autonomous Systems Research Group. With over 20 years of applied research experience, his work spans optical technologies, environmental sensing, and clean energy systems. His research expertise encompasses Optical Materials & Waveguides , Optical Imaging , Optical Security , Subsea Sensing , Optoelectronics , Microscopy , Spectroscopy , Lasers , Fluorescence Instrumentation , Lab-on-a-chips , and Renewable Energy Systems . Recent publications (2024-2025) reveal a strong focus on underwater optical communication systems, microplastic environmental impact studies, and building-integrated photovoltaic technologies. Professor Prabhu's scientific contributions are recognized through his professional affiliations: Fellow of Higher Education Academy (FHEA) Chartered Engineer (EC-IET) Member of Institute of Physics (IOP) Member of The Institution of Engineering & Technology (IET) Member of Institute of Electrical and Electronics Engineers (IEEE) He currently supervises multiple PhD students across diverse projects including underwater wireless networks, microplastic soil studies, and building-integrated photovoltaics. His active research portfolio includes the 'Portable Luminescent Chemical Compass' project (2025-2027) and 'Reusing Subsea Natural Gas Pipeline Infrastructure for Bulk Hydrogen Transportation' (2022-2023), demonstrating his commitment to addressing contemporary environmental and technological challenges through innovative research. The Instrumentation & Sensors Research Group under his leadership develops cutting-edge sensing technologies with applications ranging from environmental monitoring to security systems, contributing significantly to Robert Gordon University's research themes in Environment, Energy & Sustainability.

Ralf BrunsView profile

Professor

• Data stream processing
• Evolutionary algorithms
• Machine learning
• +6 more

Prof. Dr. Ralf Bruns is a full-time Professor in the Department of Computer Science at the Faculty of Business and Information Technology, Hannover University of Applied Sciences and Arts. His office is located at Ricklinger Stadtweg 120, 30459 Hanover, with direct contact available via phone (+49 511 9296 1817) and email. His research focuses on cutting-edge computational methodologies including: Real-time data stream processing systems Bio-inspired algorithms ( evolutionary and swarm intelligence ) Machine learning applications in enterprise systems Semantic Web technologies for knowledge representation Software architecture patterns for event-driven systems Complex Event Processing (CEP) frameworks His publications demonstrate a consistent focus on event-driven architectures applied to logistics, healthcare, IoT, and urban mobility systems. Recent work emphasizes agent-based modeling and real-time analytics for decision support in dynamic environments. Prof. Bruns leads two key research initiatives: the Software Architecture Working Group (AG SWA) and the Smart Data Analytics Research Cluster . He also serves as faculty representative in the Fachbereichstag Informatik (FBTI) and contributes to academic selection committees.