Michael Byrne is a Professor in the Departments of Psychological Sciences and Computer Science at Rice University. His research focuses on human performance modeling, cognitive science, and the intersection of technology with human behavior. He holds a PhD in Experimental Psychology from Georgia Institute of Technology (1996). Byrne has been recognized with awards such as the Kavli Fellowship (2009) and multiple distinctions from Rice University's residential colleges. Education: B.A. Psychology (High Distinction), University of Michigan, 1991 B.S. Engineering (Magna Cum Laude), University of Michigan, 1991 M.S. Experimental Psychology, Georgia Tech, 1993 M.S. Computer Science, Georgia Tech, 1995 Ph.D. Experimental Psychology, Georgia Tech, 1996 Research Interests: Byrne's work spans human factors, human-computer interaction, computational modeling (e.g., ACT-R architecture), and the design of usable voting systems. His recent studies address voting errors, robotic surgical training, and cybersecurity interfaces. Awards & Affiliations: Member: ACM SIGCHI, Cognitive Science Society, Human Factors and Ergonomics Society Recipient of NSF and NASA grants totaling over $8M for projects like STAR-Vote and aviation modeling Service: Byrne has served on editorial boards for journals like Human Factors and Cognitive Science , and contributed to voting system assessments for Los Angeles County and NIST.
Rafael Casado González is a Professor at the Department of Systems Informatics, School of Engineering, University of Castilla-La Mancha, Spain. He was previously an Associate Professor at the same institution and was promoted to Full Professor (Catedrático de Universidad) on May 23, 2023. His academic journey includes a Doctorate in Computer Engineering from UCLM (2001), a degree in Computer Engineering from Universidad de Murcia (1996), and a Technical Engineering in Systems Informatics from UCLM (1993). Doctor Ingeniero en Informática – University of Castilla-La Mancha (2001) Ingeniero Informático – Universidad de Murcia (1996) Ingeniero Técnico en Informática de Sistemas – University of Castilla-La Mancha (1993) His research spans Wireless Sensor Networks (WSNs) , Unmanned Aerial Vehicles (UAVs) , air traffic management , and high-performance network reconfiguration . He has made significant contributions to aviation safety, particularly in missed approach maneuvers , aircraft reinjection , and conflict resolution in U-Space . His work also extends to distributed forest fire monitoring and entrepreneurship education in engineering . The 15 most recent publications reflect a strong trend toward UAV traffic management , environmental sustainability in aviation , and intelligent systems for air navigation . His work combines simulation, machine learning, and real-time algorithms to improve safety and efficiency in complex airspace environments. Earlier works focus on network reconfiguration and localization in WSNs , indicating a long-standing interest in distributed and autonomic systems. Rafael Casado González has collaborated with prominent researchers such as Aurelio Bermúdez, Carlos T. Calafate, and Pablo Boronat across multiple publications. His affiliations are consistently with the University of Castilla-La Mancha, and he contributes to both technical and educational research domains. There are no listed scientific awards or honors in the provided text. He has advised or collaborated on various research projects, particularly in UAV systems and WSNs, though specific student names are not mentioned. His work has been supported through institutional affiliations and collaborative research, but no grants are explicitly listed. He is actively involved in developing simulation frameworks and real-time navigation systems for autonomous drones. While no specific lab or research group name is mentioned, his work on SensGrid , UAV navigation frameworks , and WSN-based fire monitoring systems suggests involvement in a research lab focused on intelligent distributed systems and aerospace applications.
Noah Cowan is a Professor in the Department of Mechanical Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering. He leads the Locomotion in Mechanical and Biological Systems (LIMBS) laboratory, an interdisciplinary research group that bridges engineering, neuroscience, and integrative biology to study movement in animals and robots. His research focuses on understanding the neural and biomechanical control of locomotion, using experimental and computational approaches to uncover principles of sensory guidance, feedback control, and motor adaptation. Key areas include path integration in place cells, sensorimotor adaptation in weakly electric fish, and embodied control in insects and mammals. Systems and Computational Neuroscience Feedback and Control Theory in Biological Systems Biomechanics and Robotics Neural Circuits and Motor Control Sensorimotor Integration and Active Sensing The recent publications reflect a strong trend in applying control theory to neuroscience, particularly in understanding how organisms use sensory feedback to guide movement. Work spans from fundamental neural mechanisms in rodents and fish to applications in prosthetics and robotics. A recurring theme is the role of feedback in stabilizing movement and enabling adaptation. Noah Cowan has not been mentioned with any scientific awards in the provided text. He actively mentors a diverse team of researchers, including postdoctoral fellows, PhD students, and undergraduate researchers. His lab has secured funding to support interdisciplinary projects that integrate biology and engineering. While specific grants are not listed, the scope and publication record suggest sustained support from federal and private research agencies. The LIMBS lab develops advanced experimental platforms such as the Dome virtual reality system for rodents and high-precision tracking tools, enabling cutting-edge studies in freely moving animals and bio-inspired robots.
Filippo Gabriele Prattico is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin, Italy. His academic appointment falls under Law 240/10 art.24-a and he maintains active roles across multiple departments and research groups at the university. Dr. Prattico's research spans several critical areas in human-computer interaction and extended reality technologies. His primary focus areas include Autonomous and assisted vehicles , Human factors and ergonomics , Human machine interaction , Learning technologies , Training systems , Urban air mobility , and User experience in virtual and augmented reality . His interdisciplinary work bridges computer science, engineering, and human factors to develop intuitive interfaces for emerging technologies. Analysis of Dr. Prattico's publication record reveals a clear progression toward increasingly sophisticated multimodal interaction systems. Early work focused on foundational VR/AR applications for industrial robotics and sports training, while recent research addresses critical challenges in urban air mobility interfaces, autonomous vehicle communication systems, and complex multi-user simulation environments for emergency response scenarios. His publications consistently appear in high-impact venues including IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, COMPUTERS IN INDUSTRY, and IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. Dr. Prattico has received professional recognition including the RIMINI SCHOOL 2025 'SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING' badge from the Polytechnic University of Turin and completed the TRAINING COURSE IN EUROPEAN PROJECT DESIGN by Intellera Consulting Spa. He currently supervises PhD student Lorenzo Valente, whose research focuses on 'Digital Reconstruction, Simulation, and Interaction Techniques for Effective eXtended Reality Experiences.' Dr. Prattico serves as Scientific Director for the commercial research project 'Intraoral 3D scanning and reconstruction solutions using computer vision techniques' (2023-2024) and maintains active involvement in multiple research initiatives through the GRAINS research group and VR@POLITO laboratory. Dr. Prattico is an active member of the IEEE community, serving as Secretary of the IEEE Special Interest Group on Metaverse (2023-2024) and as a member of the Scientific Committee for the IEEE Consumer Technology Society's Virtual Reality, Augmented Reality and Metaverse (VAM) Technical Committee since 2018. He also contributes as Associate Editor for IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES and previously served as Guest Editor for IEEE CONSUMER ELECTRONICS MAGAZINE.
Dr. Chris Campbell serves as the Nexus Fellow at UNSW Canberra, working across both the city and ADFA campuses within the School of Professional Studies. With a Doctor of Education from the University of Wollongong (2007), she brings extensive expertise in educational innovation and technology-enhanced learning to her role engaging staff in innovative teaching practices. Her educational qualifications include: Doctor of Education, University of Wollongong, 2007 Bachelor of Education (Honours), University of Wollongong, 1996 Bachelor of Teaching (Primary), University of Wollongong, 1995 Associate Diploma in Sports Science, University of Wollongong, 1990 Dr. Campbell's research focuses on leveraging educational technologies to improve student learning and engagement, particularly in online environments. She has significant expertise in digital pedagogies, learning design, and the implementation of emerging technologies including ePortfolio systems like PebblePad. Her work spans virtual worlds research (including Second Life), mobile learning applications, and TPACK frameworks in mathematics education. She has conducted research on middle years students' capacity for self-regulation and has a strong track record of implementing and evaluating new educational technologies across various contexts. Analysis of her recent publications (2021-2025) reveals a strong emphasis on educational innovation during and post-pandemic, with particular attention to women's leadership in academia, digital equity, and the evolving landscape of technology-enhanced learning. Her work spans multiple disciplines including teacher education, aviation training, pharmacy education, and STEM fields, consistently addressing the integration of technology to enhance learning experiences while considering accessibility and equity concerns. Notable recognition: ASCILITE Life Member Award (2023) - becoming the 17th Life Member of ASCILITE Dr. Campbell has held significant leadership positions including President of ASCILITE for two consecutive 2-year terms with prior service on the Executive for 5 years. She has been the co-lead of the TELAS portfolio since 2019, implementing frameworks and developing training procedures. She developed the Women in Academic Leadership initiative and previously implemented micro-credentials strategy at another institution, managing a $1.1m TIES NSW Department of Education funded project. As a Queensland-Smithsonian Fellow, she examined implications of the Smithsonian Learning Lab for teachers. Her collaborative work spans multiple research teams focused on educational technology implementation, digital equity in higher education, and the development of frameworks for technology-enhanced learning. She maintains active involvement in the ASCILITE community and contributes to numerous interdisciplinary projects examining the impact of educational technologies across diverse educational contexts.
Dr. Guido Carim Junior is the Discipline Head (Aviation) at Griffith University's School of Engineering and Built Environment since 2018. With a PhD in Industrial & Transport Engineering and extensive industry experience, he leads over 600 students across aviation programs while advancing research in safety systems, pilot training, and technology integration. Education: PhD in Engineering, Federal University of Rio Grande do Sul (2016) MSc in Industrial & Transport Engineering, Federal University of Rio Grande do Sul (2009) BSc in Aviation Science, Pontifical Catholic University of Rio Grande do Sul (2006) His research bridges aviation safety, human factors, and educational innovation. Key areas include digital checklist design, Safety-II principles, and simulation-based training. He has supervised 5 PhD candidates and implemented the Griffith Flight Procedures Laboratory with VR simulators. Recent publications focus on Industry 4.0, aviation safety data analytics, and pandemic impacts on crew competency. He advocates for evidence-based training reforms and diversity in pilot education. Professional activities span airline safety consulting, program directorship of aviation degrees, and advisory roles for industry projects. Current funded grants include timber construction research and AI-driven safety systems. Teaching excellence recognized through multiple university awards, with a lab-based experiential learning approach.
Shylo Serhiy Ivanovych serves as a Senior Lecturer and head of the educational department at Zaporizhzhia Polytechnic National University's Electrical Engineering Faculty, Department of Electrical Machines. Holding a Candidate of Technical Sciences degree (PhD equivalent), he has been actively contributing to academia since 2004 after completing his Master's in Electromechanics at the same institution. His research spans Power Systems Engineering , Neural Network Applications in transformer diagnostics and medical imaging, and Air Traffic Control Systems . Notable collaborations include IEEE publications on university ecosystem development and predictive modeling for power oil-filled transformers. His work demonstrates strong interdisciplinary connections between electrical engineering, artificial intelligence, and transportation safety systems. Scientific contributions include: Neural network synthesis for medical diagnostics and CAD integration Information modeling for air traffic management Renewable energy integration models High-voltage equipment analysis As an educator, he teaches advanced courses including High Voltage Electrical Devices, Electromechanical Systems Modeling, and Power Electronics, while maintaining active research through ORCID, Scopus, and Web of Science profiles. His technical expertise bridges theoretical research with industrial applications in energy systems.
Dr. Keith Joiner is a Senior Lecturer at the University of New South Wales (UNSW) Canberra within the School of Engineering and Technology. He joined academia in 2015 after a distinguished 30-year career in the Australian Air Force, where he served as an aeronautical engineer, project manager, and Director-General of Test and Evaluation for the Australian Defence Force (2010-2014). His military contributions earned him the Conspicuous Service Cross and U.S. Meritorious Service Medal. Dr. Joiner holds a PhD in Calculus Education, an MSc in Aerospace Systems Engineering (Loughborough University, UK), an MMgmt, and a BEng in Aeronautical Engineering. He is a Certified Practising Engineer (CPEng) and Certified Practising Project Director (CPPD) with professional affiliations including MAIPM and MIEAust. His research integrates statistical methods (design-of-experiments, regression modeling) with defense and cybersecurity applications. Key areas include: (1) Test/evaluation frameworks for autonomous systems, electronic warfare, and cyber-resilience; (2) Project governance in defense digitization and critical infrastructure; (3) Engineering education reforms focusing on inclusive curricula and peer-review efficacy. He actively explores human-autonomy teaming and cyber-physical system safety. Recent publications emphasize aerospace innovation (hybrid vehicles, electrification), AI assurance, and NLP applications in aviation safety. Methodological rigor in test design and computational modeling unifies his work, reflecting defense-industry collaboration and real-world problem-solving. Awards/Honors: Conspicuous Service Cross (2010-2014) U.S. Meritorious Service Medal (2009 Baghdad service) He mentors part-time PhD students in industry-collaborative projects related to test design, project governance, and autonomous systems. Current priorities include drone technology validation and cyber-resilience frameworks for space systems.
Anders la Cour-Harbo serves as an Associate Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His academic career spans over two decades with consistent publication output since 2000, demonstrating sustained research activity in unmanned aircraft systems and related technologies. His institutional affiliation places him within Denmark's prominent engineering research environment focused on practical technological applications. Professor la Cour-Harbo's research interests center on unmanned aircraft systems engineering, with particular expertise in drone applications for industrial settings. His work spans drone load systems, emergency landing technologies, predictive maintenance, and offshore operations. The research fingerprint shows strong emphasis on Unmanned Aircraft Engineering (100%), Load System Engineering (87%), and Unmanned Aircraft System Engineering (46%), reflecting his specialized focus areas. His projects consistently address real-world applications of drone technology, particularly in challenging environments like offshore wind farms. Analysis of his publication trends reveals a strategic focus on practical drone applications with increasing emphasis on safety systems, regulatory compliance, and industrial implementation. Recent publications (2023-2024) show strong industry relevance with applications in offshore wind turbine maintenance, predictive maintenance systems, and vision-based control technologies. His research bridges theoretical control systems with practical implementation challenges in drone operations. Teacher of the Year 2015 Teacher of the Year 2006 Professor la Cour-Harbo leads multiple significant research projects including SafeEye (Automated emergency landing for small unmanned aircraft), UAS-ability (research infrastructure for drone development), and OPAL (Offshore Delivery of Packages). He serves as chair for JARUS (Joint Authority for Rulemaking of Unmanned Systems), significantly influencing European drone legislation. His spin-off company Vixos demonstrates successful technology transfer from academic research to commercial application. The Harm threshold for unmanned aircraft in European legislation impact shows his direct contribution to shaping regulatory frameworks. His laboratory and research team focus on practical drone applications with infrastructure supporting airborne data collection and drone development. The UAS-ability project specifically created research infrastructure for drone development and airborne data collection. His collaboration network spans multiple countries, with significant European partnerships focused on advancing drone technology standards and applications. His work with JARUS places him at the forefront of international drone regulation development.
Peter Marcus Lenhart is a Professor at the Zurich University of Applied Sciences (ZHAW) School of Engineering, leading the Human-Machine Systems Research Group. His expertise spans Human Factors Engineering, Unmanned Aviation, and advanced flight control systems, with a focus on integrating drones into civil air traffic and enhancing pilot-machine interaction through augmented reality and AI. His research interests include Human Factors Engineering , User Interface Design , 4D Flight Guidance , Speech-Enabled Cockpits , and Autonomous Systems . His work addresses challenges in drone integration , AI ethics in aviation , and next-generation flight deck design , emphasizing safety and usability. Recent publications highlight trends in drone operations , human-machine symbiosis , and urban mobility solutions . His scientific awards include Dr. Werner-Joost-Prize for air traffic safety (1999) German Airline Pilots Association recognition Projects like LINA and SORA underscore his leadership in autonomous systems and regulatory tools. His affiliations include TU Darmstadt and RWTH Aachen alumni networks, with a Ph.D. in Aerospace Engineering.
Tatiana Polishchuk is a Senior Associate Professor and Head of Unit at Linköping University, affiliated with the Communications and Transport Systems (KTS) within the Department of Science and Technology (ITN). She holds a MSc in Applied Mathematics and Statistics from SUNY Stony Brook (2007), a PhD in Computer Science from Helsinki University (2013), and a docentship from Linköping University (2022). Her research focuses on optimizing air traffic management systems, including airspace efficiency, remote tower operations, and environmental impact reduction. She leads projects on point merge procedures, workload prediction using machine learning, and weather impact analysis on aviation operations. Education: MSc in Applied Mathematics and Statistics (2007), State University of New York at Stony Brook, USA PhD in Computer Science (2013), University of Helsinki, Finland Docentship in Computer Science (2022), Linköping University Research Interests: Airspace optimization and quantitative assessment Remote tower organization and staff scheduling Flight logistics and route planning Environmental impact mitigation in air traffic management Machine learning applications in aviation Weather impact analysis on air traffic operations Key Contributions: Developed algorithms for point merge procedures to reduce delays and environmental footprint Pioneered workload prediction models using eye-tracking and physiological data Evaluated global weather impacts on air traffic efficiency across continents Contributed to remote tower system design and staff scheduling strategies Lab/Teams: Academic Excellence in ATM (and UTM) Research Group Flight Logistics Unit (FL)
Dr. Reza Faieghi is an Assistant Professor in the Department of Aerospace Engineering at Toronto Metropolitan University and serves as the Director of the Autonomous Vehicles Laboratory. He holds a PhD from the University of Western Ontario, an MSc from Iran University of Science and Technology, and a BSc from Hamedan University of Technology. His research focuses on robotics, machine learning, and virtual reality, with specific applications in uncrewed aerial/ground vehicles, motion control, and human-system interactions. His work integrates advanced control systems with human factors to enhance autonomous systems safety. Current projects include developing intelligent UAV control algorithms, biomechanical modeling for ergonomic design, and VR-based surgical training systems. His research spans aerospace engineering, control theory, biomechanics, and human-computer interaction. Dr. Faieghi teaches courses including Intro to Aerospace Engineering Design, Aerospace Sensors, and Introduction to Machine Learning. He directs the Autonomous Vehicles Laboratory, which focuses on developing intelligent systems for transportation and healthcare applications.
Jun-Ho Huh is a Professor at Sungkyunkwan University's College of Information and Communication Engineering, Department of Computer Science and Engineering. His extensive research portfolio demonstrates leadership in cybersecurity, authentication systems, and AI applications across multiple domains including financial technology, maritime security, and agricultural technology. Dr. Huh's research interests span cybersecurity, authentication systems, blockchain technology, artificial intelligence, edge computing, and IoT security. His work bridges theoretical computer science with practical applications in smart systems engineering. His research has significant implications for improving security in emerging technologies like DeFi, autonomous systems, and smart infrastructure. Analysis of Dr. Huh's recent publications reveals a strong focus on practical applications of AI and security technologies. His work covers diverse areas including cybersecurity for maritime autonomous systems, authentication mechanisms, financial technology applications, and agricultural technology solutions. The publications demonstrate consistent productivity and relevance in addressing contemporary challenges in computer science and engineering. Dr. Huh has made significant contributions to authentication systems research, particularly in biometric and behavioral authentication methods. His work on keystroke dynamics, voice spoofing detection, and wearable device authentication has advanced the field of usable security. His research extends to practical applications in smart factories, agricultural technology (AgTech), and financial technology. The integration of blockchain with AI for various applications represents a significant thread throughout his recent work, demonstrating interdisciplinary approaches to solving complex technological challenges.
Jennifer Korkosz, DNP, WHNP-BC, serves as Associate Professor and Director of Graduate Programs in the University of Delaware's School of Nursing within the College of Health Sciences. A United States Air Force Veteran with extensive clinical leadership experience in OB/GYN care and flight nursing, she bridges military healthcare expertise with academic innovation to advance nursing education and vulnerable population care. Education: DNP, University of Texas-El Paso MSN, University of Colorado BSN, Texas Christian University Research Focus: Dr. Korkosz pioneers trauma-informed care for sexual assault survivors while addressing critical gaps in veteran healthcare access and contraception equity. Her leadership research examines systemic barriers in nursing education, with recent work emphasizing resiliency development and anti-bias training. Through interprofessional simulation initiatives like Healthcare Theatre, she implements evidence-based protocols for military sexual trauma response and women's health across the lifespan. Scholarly Impact: Her publication trajectory reveals strategic expansion from clinical guidelines (2014-2018) into educational transformation (2019-2025), with increasing focus on health equity infrastructure and workforce sustainability. Current projects integrate military healthcare models with civilian systems while developing standardized sexual assault response frameworks. Accolades: 2022 Delaware Today Top Nurse for Excellence in Volunteering 2019 Dean’s Excellence in Teaching Award (Uniformed Services University) 2019 Innovation in Education Award Finalist Academic Leadership: As Graduate Program Director, she mentors doctoral candidates through dissertation completion while redesigning curricula to address veteran healthcare disparities. Her Operation Bushmaster combat medicine simulations and sexual assault response training demonstrate commitment to translating military medical expertise into civilian nursing practice through the Center for Simulation Innovation. Collaborative Infrastructure: Dr. Korkosz co-leads the Partnership for Healthy Communities initiative, connecting nursing students with Delaware's underserved populations through the STAR Campus health clinics while developing veteran-focused care pathways with the Tower at STAR interdisciplinary teams.
Kristofer Pister is a Professor of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley, and Co-Director of the Berkeley Sensor & Actuator Center (BSAC) and the SWARM Lab. He holds a B.A. in Applied Physics from UC San Diego (1986) and M.S./Ph.D. in EECS from UC Berkeley (1989/1992). His research focuses on MEMS, robotics, low-power circuits, and wireless sensor networks, notably developing the Smart Dust project and micro-robotics systems. He teaches EE 105 (Microelectronic Devices and Circuits) and advises on projects like crystal-free radios and swarm robotics. His awards include the Alexander Schwarzkopf Prize (2006), Alfred F. Sperry Founder Award (2009), and NSF CAREER Award (1996). Pister co-founded Dust Networks (acquired by Linear Technology) and pioneered innovations in microrobot actuation, implantable sensors, and space exploration swarms. His labs (BSAC, SWARM) explore MEMS integration, autonomous systems, and energy-efficient communication. Recent work includes crystal-free IoT devices, interplanetary swarm missions (BLISS), and ultrasonic radiation detection implants. Pister emphasizes interdisciplinary collaboration, with contributions spanning hardware design, control systems, and AI-driven robotics.
