جست‌وجوی استاد و پژوهشگر

Beau Schelbleمشاهده پروفایل

استادیار

• Human-AI Teaming
• Responsible AI
• Trust in Human-AI Systems
• +۱۲ مورد دیگر

Beau Schelble is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He is the founding director of the AI and Robotics for Collaborative Systems (ARCS) Lab, where he leads interdisciplinary research on human-AI teaming, responsible AI, and team cognition. His work bridges human factors, systems engineering, and artificial intelligence, with applications in advanced manufacturing, healthcare, emergency response, and defense. Education: PhD in Human-Centered Computing, Clemson University, 2023 BS in Psychology, Clemson University, 2018 Dr. Schelble's research focuses on optimizing collaborative systems involving humans and AI. Key interests include trust development, situational awareness, shared knowledge, and ethical AI integration. He employs mixed-methods approaches—qualitative, quantitative, and computational—to study human-AI interaction in complex environments. His work has resulted in over 30 peer-reviewed publications in top-tier venues across human factors, HCI, and systems engineering. The 15 most recent articles reflect a strong trend toward ethical AI, explainability, autonomy adaptation, and team cognition in human-AI systems. Topics span healthcare applications, collaborative technologies, training methods, and emotional expression in AI teammates, demonstrating a broad yet cohesive research agenda centered on responsible and effective human-AI collaboration. Scientific Awards and Recognitions: NSF Research Traineeship (THINKER) Scholarship, August 2019 Multiple best paper awards and nominations (5 total) in human factors and systems engineering conferences Dr. Schelble actively mentors students and leads a dynamic research lab. He has secured research support through academic collaborations and professional engagement with IEEE, HFES, ACM, and IISE. His lab, ARCS, fosters innovation in AI-driven collaborative systems. Future work includes expanding frameworks for outpatient care, adaptive autonomy in healthcare, and deeper integration of human teaming principles into AI design. He continues to publish extensively and contribute to shaping the future of human-AI teaming.

Mustafa Demirمشاهده پروفایل

مدرس

• Human-Machine Teaming
• Human-AI Teaming
• Advanced Statistical Modeling
• +۱۱ مورد دیگر

Dr. Mustafa Demir serves as an Associate Research Scientist at Arizona State University's Biodesign Center for Applied Structural Discovery and Faculty Associate in the Ira A. Fulton Schools of Engineering. His interdisciplinary work integrates cognitive science and engineering to optimize human-AI collaborative systems across healthcare, transportation, and defense domains through human-centered design principles. Education: Ph.D. in Simulation, Modeling, and Applied Cognitive Science, Arizona State University (2017) Dr. Demir's research centers on human-machine teaming dynamics, employing advanced statistical and nonlinear dynamical systems modeling. His expertise includes quantum cognitive approaches to decision-making, team cognition analysis, and machine learning applications for real-time physiological monitoring. Current projects focus on AI-powered stress management tools, curiosity-driven STEM education systems, and human-autonomy coordination in driving and command environments using eye-tracking and biometric sensing. Analysis of his 2023-2025 publications reveals methodological innovation in dynamical systems analysis (DSA Toolbox) and quantum probability modeling applied to trust calibration in autonomous vehicles, educational technology, and digital health interventions. His work consistently bridges theoretical modeling with real-world implementation in complex sociotechnical systems. Dr. Demir mentors students in cognitive engineering and applied data science while leading multi-institutional research initiatives funded by NSF, AFRL, and DARPA. His grant portfolio supports experimental work across simulated and operational environments including remotely piloted aircraft systems and urban search-and-rescue scenarios. He contributes to the Biodesign Center for Applied Structural Discovery and HLA-Inception research group, developing computational models of team interaction and adaptive AI systems for healthcare and education applications.

Carey D. Balabanمشاهده پروفایل

استاد

• Vestibular Neuroscience
• Balance Disorders
• Migraine
• +۷ مورد دیگر

Carey D. Balaban is a Professor at the University of Pittsburgh with joint appointments across multiple departments including Otolaryngology-Head & Neck Surgery, Neurobiology, Communication Science & Disorders, and Bioengineering, reflecting his highly interdisciplinary research profile. His work bridges biomedical sciences, engineering, and clinical applications with significant contributions to vestibular neuroscience and related disorders. Dr. Balaban earned his BA in History from Michigan State University, PhD in Anatomy from the University of Chicago, and completed postdoctoral training at the University of Tokyo. His educational background uniquely informs his dual expertise in historical medicine and contemporary neuroscience. His research focuses on mathematical and heuristic modeling of neurological and psychological features in balance disorders, migraine, and anxiety. He has pioneered translational approaches examining co-morbid aspects of vestibular disorders and developed novel methodologies including mass spectrometric imaging of histological materials. Current work extends these models to mild traumatic brain injury and acoustic trauma. Dr. Balaban's publications reveal consistent contributions to vestibular neuroscience, with recent work (through 2025) focusing on third window syndromes, vestibular migraine, and neuro-otological aspects of anxiety disorders. His research demonstrates strong translational impact with patented technologies for assessing situational awareness and cognitive engagement. He teaches core courses for the National Preparedness and Homeland Security certificate program, Medical Neurobiology, undergraduate History of Medicine, and graduate Intellectual History of Neuroscience, demonstrating remarkable breadth across scientific and humanities disciplines. His authorship of two books on seventeenth century medicine further highlights this unique interdisciplinary perspective. Dr. Balaban maintains active research collaborations across multiple institutions, with frequent co-authorship patterns indicating strong partnerships in neuro-otology, particularly with researchers at military medical centers given his work on posttraumatic dizziness and mass casualty response systems.

• Aerospace Engineering
• Spacecraft Dynamics
• Orbital Mechanics
• +۵ مورد دیگر

Rafael Vazquez Valenzuela is a University Professor in the Department of Aerospace Engineering and Fluid Mechanics at the Higher Technical School of Engineering, University of Seville. His research focuses on control systems for aerospace applications, particularly in spacecraft dynamics, orbital mechanics, and partial differential equation (PDE) control systems. Professor Vazquez Valenzuela's research spans several key areas in aerospace engineering and control theory. His primary interests include spacecraft guidance and navigation, particularly for asteroid exploration and rendezvous operations. He has made significant contributions to the field of backstepping control for PDE systems, with applications ranging from fluid dynamics to spacecraft control. His work also extends to stochastic analysis of aircraft performance, thermoacoustic instability control, and the development of advanced algorithms for unmanned aerial vehicles. Notably, his research bridges theoretical control theory with practical aerospace applications, resulting in numerous high-impact publications in top journals. His publication record shows a clear trend toward increasingly sophisticated control algorithms for complex aerospace systems. Recent work focuses on predictive control for spacecraft operations near asteroids, chance-constrained optimization for halo orbit rendezvous, and prescribed-time control methods. His research consistently addresses the challenging intersection of theoretical control design and practical implementation constraints in aerospace applications. Professor Vazquez Valenzuela has been involved in numerous research projects, including "APPLICATION OF LEADING TECHNOLOGY TO UNMANNED AERIAL VEHICLES FOR RESEARCH AND DEVELOPMENT IN ATM (ATLANTIDA)" "Diseño de Algoritmos de Guiado y Control Innovadores para Aplicaciones Avanzadas de Rendezvous: Órbitas Halo y Exploración de Asteroides" "SESAR WP-E ComplexWorld Network" These projects highlight his expertise in both theoretical control systems and practical aerospace applications. He is affiliated with the INGENIERÍA AEROESPACIAL (GIA) research group at the University of Seville, where he collaborates with researchers on advanced control and navigation systems for autonomous aerospace vehicles.

• Cybersecurity
• Blockchain Technology
• Privacy-Preserving Systems
• +۳ مورد دیگر

Edgar Weippl is a Professor at the Department of Information and Software Engineering, Faculty of Informatics, TU Wien. His primary research focuses on cybersecurity, blockchain technology, and privacy-preserving systems. He leads the Network Lab, investigating topics such as cryptocurrency security, usable privacy mechanisms, and decentralized systems' incentives. Key contributions include analyzing blockchain fork economics, cryptocurrency wallet usability, and incentive manipulation attacks on Proof-of-Work systems. His work bridges theoretical advancements with practical applications in AI governance, digital twins, and industrial automation security. Affiliations: TU Wien (2019–present), Network Lab Lead Education: Dr.techn. (PhD in Technical Sciences), Mag.rer.soc.oec. (Master of Social and Economic Sciences) Research interests span cryptographic protocols, decentralized systems, and user-centric security. He has advised over 20 graduate students on topics like fuzzing embedded protocols, blockchain topology analysis, and privacy-preserving anomaly detection. His recent work emphasizes sustainable development goals (SDGs) through secure AI integration and ethical AI governance frameworks.

Herman Bruyninckxمشاهده پروفایل

استاد

• Robotics
• Mechatronics
• Bayesian Sensor Processing
• +۱۰ مورد دیگر

Herman Bruyninckx is a Professor at the Faculty of Engineering Sciences , KU Leuven , where he also serves as Vice-Chair of the Department of Mechanical Engineering and head of the Robotics, Automation and Mechatronics (RAM) subdivision. His research focuses on integrating formally represented domain knowledge into robotic systems for real-time, self-explanatory, and certifiable control. He advocates for open standards and software engineering practices in robotics, with a career-long emphasis on knowledge-driven robotic systems over data-driven approaches.

Michael J. Tyworthمشاهده پروفایل

استادیار بالینی

• Organizational Identity
• Organizational and Social Informatics
• Computer-Mediated Communication
• +۳ مورد دیگر

Michael J. Tyworth is an Assistant Clinical Professor in the Department of Supply Chain & Information Systems at The Pennsylvania State University. His work focuses on organizational identity, social informatics, computer-mediated communication, and information security. He holds a Ph.D. in Information Sciences & Technology (2009), an M.S. in Information Science from Indiana University (2004), and a B.S. in Psychology from Penn State (1992). His research explores how organizations' technological systems reflect their identities, with a focus on public safety networks, cybersecurity, and criminal justice information systems. Recent studies include architectural patterns of public safety networks, cyber situation awareness frameworks, and integrated criminal justice systems. Publications highlight themes like interagency collaboration, organizational ICT design, and distributed decision-making in cybersecurity. His work bridges theoretical frameworks with practical applications, emphasizing cartographic analysis and qualitative methods. While specific advising roles or grants are not detailed here, his research consistently addresses real-world challenges in public safety, cybersecurity, and organizational behavior.

Bin Zhangمشاهده پروفایل

دانشیار

• Prognostics and Health Management
• Fault Detection and Isolation
• Failure Prognosis
• +۸ مورد دیگر

Dr. Bin Zhang is an Associate Professor in the Department of Electrical Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. With over 20 years of experience in prognostics and health management, intelligent systems and control, and robotics, he has established himself as a leading researcher in battery management systems, power electronics, and fault-tolerant control systems. Dr. Zhang's educational background includes: Ph.D. in Electrical Engineering from Nanyang Technological University, Singapore M.E. in Mechanical Engineering from Nanjing University of Science and Technology, China B.E. in Mechanical Engineering from Nanjing University of Science and Technology, China His research focuses on active approaches to achieve intelligent smart systems with self-situational-awareness and self-adapting capabilities. Primary interests include prognostics and health management (PHM), which covers fault detection and isolation, failure prognosis, and fault tolerance; robotics and unmanned systems; intelligent systems and control; and dynamic systems design, modeling, simulation and control. His work integrates physics-based models with data-driven techniques and computational intelligence, including pattern recognition and machine learning. Analysis of Dr. Zhang's recent publications reveals a strong emphasis on battery modeling (particularly lithium-ion batteries), power electronics control (including fractional order delay and virtual variable sampling techniques), and deep learning methods (including graph neural networks, deep residual convolutional neural networks, and deep belief networks). His research spans multiple application domains including power grids, batteries, aircraft, helicopters, and manned/unmanned vehicles. Dr. Zhang serves as Associate Editor for prestigious journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Neurocomputing. He is a Senior Member of IEEE and a member of ASME. As director of the Resilient Systems Laboratory, Dr. Zhang advises numerous graduate students working on cutting-edge research in battery technology, power cable insulation, and control systems. His lab is equipped with advanced facilities including an 8-channel ARBIN BT-Smart battery testing system, power electronics control systems, cable/wire testing systems, rotating machinery testing systems, and unmanned vehicles including quadrotors and hexacopters.

• Knowledge Representation
• Ontology Engineering
• Semantic Web
• +۶ مورد دیگر

Cassia Trojahn is a permanent Lecturer at the University of Toulouse 2 Jean Jaurès , affiliated with IRIT - UMR 5505, Department of Mathematics and Computer Science. Her career spans institutions in France, Portugal, Brazil, and the Netherlands, with roles including Expert Engineer at Joseph Fourier University and Post-Doc at INRIA Rhône-Alpes. Education Semantic Web, Ontology Alignment, Business Intelligence (University of Toulouse) Functional Programming (Haskell, Scala), Information Extraction (Pierre Mendès University) Graph Theory and Complexity (University of Évora) Research Interests : Knowledge representation and semantic web technologies Ontology alignment methodologies (argumentation, complex alignments, holistic approaches) Earth observation data integration with contextual information Open science and FAIR data principles Argumentation frameworks for mapping reconciliation Query rewriting with complex correspondences Advising : Co-supervised 5 PhD theses across France and Brazil, including: Jordane Dorne (2018-2021) - Earth observation semantic change detection Élodie Thiéblin (2016-2019) - Complex ontology alignment Roger Granada (2011-2015) - Hierarchical relations extraction Projects : Participated in international (CAMELEON, MULTIFARM) and European (EFFECTOR, CANDELA, SEALS) projects focused on multilingual ontology alignment, maritime situational awareness, and semantic earth observation data analysis.

Lisa A. Mazzeiمشاهده پروفایل

استاد

• qualitative research methodology
• curriculum theory
• study of racial identity/awareness among white teachers
• +۴ مورد دیگر

Lisa A. Mazzei is a Professor of Education and Associate Dean for Faculty Development at the University of Oregon's College of Education. She is affiliated with both the Critical and Sociocultural Studies in Education and Educational Foundations programs, as well as the Department of Philosophy. With a career spanning multiple institutions including Ohio Dominican University, Manchester Metropolitan University in England, and Gonzaga University, she has established herself as a leading scholar in qualitative research methodology and educational theory. Her educational background includes a Ph.D. in Educational Policy and Leadership (1996) and an M.A. in Adult Education (1984) from The Ohio State University, and a B.A. in Marketing and Distributive Education (1983) from Marshall University where she graduated Magna Cum Laude. Ph.D., 1996, The Ohio State University, Columbus, Ohio - Major: Educational Policy and Leadership M.A., 1984, The Ohio State University, Columbus, Ohio - Major: Adult Education B.A., 1983, Marshall University, Huntington, West Virginia - Magna Cum Laude - Major: Marketing and Distributive Education Professor Mazzei's research interests focus on qualitative research methodology, curriculum theory, and the study of racial identity/awareness among white teachers. She is particularly known for her methodological innovations in posthuman inquiry, bringing philosophical concepts from Derrida's deconstruction theory and Deleuze and Guattari's concept of desire to bear on qualitative research practices. Her work interrogates why silences persist in racialized discourses and how to account for them as data in qualitative analysis. Analysis of her recent publications reveals a consistent trajectory toward postfoundational and postqualitative approaches to inquiry. Her scholarship increasingly engages with minor pedagogy, speculative inquiry, and thinking with theory as methodological frameworks. These works demonstrate her commitment to rethinking subjectivity, voice, and experience in research, while maintaining strong connections to feminist theory and critical race perspectives. Her publications span multiple disciplines including education, psychology, sociology, political science, anthropology, business, and medicine. Her notable awards include: The Graduate School Excellence Award for Graduate Mentors (2016) from the University of Oregon Graduate School The 2013 AESA Critics Choice Book Award for Thinking with Theory in Qualitative Research: Viewing Data Across Multiple Perspectives The Exemplary Faculty Award (2011) from Gonzaga University Professor Mazzei teaches Curriculum Theory at both undergraduate and doctoral levels and has supervised numerous graduate students throughout her career at multiple institutions. Her methodological innovations have influenced research practices across multiple disciplines. While specific grant information isn't detailed in the provided materials, her work on funded research projects at Manchester Metropolitan University indicates experience with competitive research funding. Her collaborative writing with Alecia Jackson has been particularly influential in situating 'thinking with theory' as a new analytic for qualitative inquiry. Her current work continues to engage with philosophical concepts to rethink fundamental aspects of research methodology, particularly focusing on how to account for silences and absences in data analysis.

Haoqi Zhangمشاهده پروفایل

دانشیار

• Social Computing
• Crowdsourcing
• Human-Computer Interaction
• +۷ مورد دیگر

Haoqi Zhang is an Associate Professor at Northwestern University in Computer Science and Design, with offices at 2133 Sheridan Rd., Evanston, IL. He directs the Design, Technology, and Research (DTR) program and co-directs the Delta Lab with interdisciplinary collaborators. His work bridges Social Computing , Human-Computer Interaction , Artificial Intelligence , and Learning Science to create socio-technical systems advancing human values. Education: PhD in Computer Science from Harvard University (2012) BA in Computer Science and Economics from Harvard University (2007) Research interests focus on Computational Ecosystems that interweave community processes, social structures, and intelligent systems to promote values like self-direction , metacognition , and belonging . His projects include agile research studios for training researchers, opportunistic collective experiences for remote collaboration, and flexible coordination in crowdsourcing systems. Recent publications examine metacognitive learning in CS education, dialectical activities in HCI, and trust dynamics in crowdfunding. Supported by National Science Foundation grants in Cyber-Human Systems and Cyberlearning, plus Microsoft FUSE Labs and Northwestern institutional awards. Awards include Microsoft FUSE Labs Research Award Northwestern Office of the Provost Award for Digital Learning Notable Paper Award at HCOMP 2013 Best Paper Honorable Mention at CHI 2018 Mentors PhD students Kapil Garg and Gobi Dasu , while fostering over 100 students through DTR. Runs a Junior Faculty Support Group since 2022, providing emotional and professional support for early-career academics.

Konstantinos Kyriakopoulosمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Dr. Konstantinos Kyriakopoulos is a Senior Lecturer in Cyber Intelligence, specializing in cybersecurity challenges and AI-driven solutions for converged Information and Operational Technology infrastructures. His work integrates machine learning with cyber-physical systems to enhance decision-making under uncertainty, with a focus on resilient AI algorithms and autonomous defense mechanisms. He has contributed to projects funded by Dstl, Innovate UK, and industry partners, addressing Industry 4.0 security, smart vehicles, electromagnetic attacks, and smart buildings. His research interests include adversarial machine learning, evidence theory for uncertainty modeling in ML, and autonomous cyber defense systems. He has developed novel approaches using reinforcement learning, hidden Markov models, and Bayesian optimization. His work emphasizes creating ML algorithms resistant to adversarial attacks while improving cybersecurity resilience in dynamic environments. Dr. Kyriakopoulos has also explored applications of AI in educational technology, such as automated assessment of spoken English proficiency. His recent publications focus on federated learning security, causal reinforcement learning, and anomaly detection techniques. He has experience in translating research into practical solutions, including business model pitches to investors in Canary Wharf for threat modeling tools. His contributions span over 40 peer-reviewed articles, with notable work in network intrusion detection, attack prediction via HMMs, and wavelet-based compression for network measurements. His expertise bridges academia and industry, addressing both theoretical advancements and real-world implementation challenges.

Qinru Qiuمشاهده پروفایل

استاد

• Neuromorphic computing
• Machine learning
• Green computing
• +۵ مورد دیگر

Dr. Qinru Qiu is a Distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. She holds a PhD in Electrical Engineering from the University of Southern California (2001) and a BS from Zhejiang University (1994). Her research focuses on neuromorphic computing, energy-efficient systems, and machine learning applications, emphasizing power and thermal management in embedded and high-performance computing systems. She leads NSF's Center for Alternative Sustainable and Intelligent Computing (ASIC) and serves on editorial boards of IEEE journals and conference committees. Education: PhD (USC, 2001), MS (USC, 1998), BS (Zhejiang University, 1994) Her research interests include neuromorphic architectures for cognitive applications, energy harvesting systems, and hardware-accelerated machine learning. Recent work explores in-memory computing with memristive devices and energy-efficient anomaly detection frameworks. She has published widely in top venues like IEEE/ACM conferences and journals. Notable awards include the NSF CAREER Award (2009), IEEE Region 1 Technological Innovation Award (2020), and ACM Distinguished Member (2022). She is an IEEE Fellow and served as CEDA Society Distinguished Lecturer (2023–2024). Dr. Qiu advises numerous graduate students in neuromorphic systems and energy-efficient computing. Her professional services include roles as Associate Editor for IEEE TNNLS and TCDS, and conference organizing roles at ISLPED and ICCAD.

Doris Grosseمشاهده پروفایل

پژوهشگر ارشد

• Adaptive Optics
• Space Situational Awareness
• Space Debris Remediation
• +۴ مورد دیگر

Dr. Doris Grosse is a Research Fellow at the Advanced Instrumentation and Technology Centre (AITC) within the Research School of Astronomy & Astrophysics at the Australian National University (ANU). She specializes in adaptive optics, with a focus on space situational awareness, space debris remediation, and optical communication systems. Her work includes developing the ANU Optical Communications Ground Station and contributing to laser guide star systems for debris tracking. Education: PhD in Electrical Engineering and Information Technology from Ruhr-University Bochum, Germany. Postdoctoral research at ANU AITC since 2016. Research Interests: Adaptive optics for space debris tracking, laser communication systems, atmospheric turbulence analysis, and holography. Key projects include the Space Environment Research Centre (CRC) and development of optical ground station instrumentation. Recent Work: Focused on deep space communication systems, lunar optical communication, and turbulence profiling for free-space optical networks. Her research addresses challenges in space debris collision mitigation and satellite tracking using advanced adaptive optics. Grants/Projects: Supervises projects such as the 'Deep-Space and Lunar Optical Communication System' and 'Adaptive Optics for Laser Communication'. Involved in international collaborations for space surveillance and optical infrastructure. Labs & Teams: Part of AITC and ANU's RSAA teams, contributing to observatory operations at Mount Stromlo and Siding Spring Observatory.

Marcus Holzingerمشاهده پروفایل

استاد

• Space Policy
• Space Situational Awareness
• Information Theory
• +۴ مورد دیگر

Dr. Marcus Holzinger is the Joseph T. Negler Professor and Hatfield Endowed Professor in Space Policy & Law at the University of Colorado Boulder's Department of Aerospace Engineering Sciences. He leads the Colorado Center for Astrodynamics Research (CCAR) and the VADeR Laboratory, focusing on advancing space exploration through interdisciplinary research in space policy, autonomy, and space situational awareness. His work emphasizes collaboration and sustainable practices in space. Education: PhD in Aerospace Engineering Sciences, University of Colorado Boulder (2011) MS in Aeronautics & Astronautics Engineering, University of Washington (2005) BS in Aeronautics & Astronautics Engineering, University of Washington (2003) Research Interests: Space Policy & Law Space Domain Awareness Autonomy & Decision Support Systems Cislunar Space Dynamics Information Theory & Estimation Space Traffic Management Recent Research Trends: Holzinger’s work prioritizes cislunar space exploration and decentralized decision-making for space systems, with applications in orbital debris mitigation, sensor tasking, and spacecraft autonomy. His publications frequently address challenges in initial orbit determination and spacecraft maneuver detection . Awards: American Astronautical Society Fellow (2022) AIAA Associate Fellow (2018) AFOSR Young Investigator Award (2017) Advising & Labs: Holzinger mentors students in the STARLIT and VADeR Observatories. Notable advisees include Sam Fedeler (2023 PhD) and Katie Melbourne (PhD student). His labs develop technologies like astrographic mapping and sensor networks for space surveillance. Labs/Teams: CCAR and the VADeR Lab collaborate on projects funded by NASA, AFRL, and industry partners, emphasizing hardware-in-the-loop testing and space policy frameworks.