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Osama A. MohammedView profile

Professor

• Power Systems
• Smart Grid
• Energy Cyber Physical Systems
• +9 more

Dr. Osama A. Mohammed is a Distinguished Professor and Associate Dean of Research at the College of Engineering and Computing, Florida International University (FIU), where he also serves as Director of the Energy Systems Research Laboratory (ESRL) in the Department of Electrical and Computer Engineering. He has been a faculty member since 1983 and is internationally recognized for his pioneering work in power systems, smart grids, and energy cyber-physical systems. His educational background includes: B.S. in Electrical Engineering, Zagazig University, Egypt (1977) M.S. in Electrical Engineering, Virginia Tech (1981) Ph.D. in Electrical Engineering, Virginia Tech (1983) Dr. Mohammed's research is centered on advancing energy systems through innovation in power electronics, electric drives, computational electromagnetics, and smart grid technologies. He emphasizes real-world applications, student involvement, and interdisciplinary collaboration. His work bridges academia and industry, focusing on resilient, secure, and efficient energy infrastructure. His extensive publication record—over 750 papers—demonstrates a strong trend toward intelligent control, cybersecurity in energy systems, real-time simulation, and optimization of hybrid AC/DC microgrids. Many of his recent works integrate AI and machine learning for predictive maintenance, demand response, and digital twin applications in power systems. His scientific awards and recognitions include: Fellow of the National Academy of Inventors (2022) IEEE Fellow (1996) ACES Fellow (2006) IEEE PES Cyril Veinott Award (2010) Multiple Best Paper Awards in IEEE Transactions Top 2% Scientist Worldwide (Stanford, 2020) Dr. Mohammed is a dedicated mentor, having supervised 34 PhD graduates and over 60 master’s students, many of whom now hold prestigious positions in academia and industry. He has secured over $30 million in research funding from DoE, ONR, NSF, and industry. His leadership extends to major multi-university consortia, including the $12.2M DoE SEEDS Center. He has developed key research labs at FIU, such as the Smart Grid Test-Bed and Power Electronics Laboratory, providing unparalleled hands-on experience for students.

J. David RielView profile

Professor

• Educational Technology
• Active Learning Methodologies
• Digital Transformation
• +3 more

J. David Riel serves as a Professor at Carnegie Mellon University's Heinz College of Information Systems and Public Policy, appointed Distinguished Service Professor in 2018 after joining CMU in 2006. He concurrently holds a teaching appointment with the Institute of Software Research in the School of Computer Science for the eBusiness Technology Master’s Program. His research spans: Educational Technology: Application of Web 2.0, LMS, synchronous platforms, automation, and AI/ML in education Active Learning Methodologies: Learning by doing, blended learning, flipped classrooms, and team-based learning Digital Transformation: IoT, ePayment, Intelligent Automation, Blockchain, and Quantum Computing in academic/business disruption Recent publications analyze Intelligent Automation's business-academia bridge, online flipped learning efficacy, and educational psychology research productivity. His work consistently examines technology-pedagogy integration to address digital disruption across education and business sectors.

• Experimental Sport Sciences
• Motor Control
• Perception and Action
• +3 more

Dr. Frank Zaal is an Associate Professor in the Department of Human Movement Sciences at the Faculty of Medical Sciences, University of Groningen. He specializes in experimental sport sciences, motor control, and perception-action relationships. His research focuses on perceptual-motor coordination in dynamic environments, including cycling biomechanics, interception behavior, and environmental affordance perception. He teaches courses such as 'Inleiding waarnemen en bewegen' (Bachelor) and 'Perception and action' (Master). Recent studies explore gaze direction effects on cycling effort, optic flow dynamics in sports performance, and interception affordances. His work bridges ecological psychology with biomechanical modeling, emphasizing real-world movement applications. No scientific awards are explicitly listed, but his active publication record reflects sustained academic contribution. He coordinates research groups focused on human movement dynamics and sports science, though specific lab/team names aren't provided in the text.

Mats KüssnerView profile

Researcher

• Multimodal perception of music
• Music and mental imagery
• 4E music cognition
• +3 more

Mats Küssner is a Researcher at Humboldt University of Berlin's Department of Musicology, specializing in Transcultural Musicology and Historical Anthropology of Music. Previously, he held a Peter Sowerby Research Associate position at the Royal College of Music in London. He earned his doctorate from King's College London, focusing on cross-modal mappings between sound and visual forms. His work bridges music psychology, cognitive science, and cultural studies, emphasizing how music shapes human thought and emotion through multi-method approaches. Research interests include multimodal perception, music-induced mental imagery, 4E cognition (embodied/embedded/enactive/extended), and performance science. Notable awards include the Aubrey Hickman Award for music psychology research and a teaching excellence award. He teaches courses like 'Diversity in Berlin's Sound Scene' and 'Emotions in Music' at both BA and MA levels. His publications span over 40 peer-reviewed articles across journals like Music & Science , Psychomusicology , and Frontiers in Psychology , with a focus on visual-aural interplay, music cognition disorders (e.g., aphantasia), and cross-cultural performance dynamics. He co-edited the landmark volume Music and Mental Imagery (Routledge, 2022). Recent work explores environmental ecomusicology education and music's role in mitigating social isolation. Küssner leads projects on music-induced emotion prediction using cross-modal correspondences and is part of Berlin's interdisciplinary music psychology scene, collaborating with neuroscientists and cultural anthropologists. His lab employs eye-tracking, EEG, and behavioral experiments to study embodied music cognition processes.

Erik BrunvandView profile

Professor

• Computer Architecture
• VLSI Systems
• Asynchronous Circuits
• +3 more

Erik Brunvand is a Professor at the School of Computing , University of Utah, and holds an Adjunct Professor position in the Department of Electrical and Computer Engineering. He was a University Professor from 2014–2016 and is currently on leave at the National Science Foundation (CISE/CNS division) (Fall 2019–2021). His research focuses on computer architecture, VLSI systems, asynchronous circuits, and graphics processing, particularly GPU architectures for ray tracing. Teaching includes courses like Digital VLSI Design , Embedded Systems and Kinetic Art , and interdisciplinary classes like Making Noise: Sound Art and Digital Media . He has organized the ASYNC international symposium series and contributed to projects such as TRaX (ray tracing architecture) and ACK (asynchronous design framework). Grants include NSF awards for GPU architectures, ray tracing applications, and microengine-based control systems. His work spans hardware design, sustainable computing, and arts/technology collaborations, including kinetic art installations and educational initiatives like circuit bending.

Şirin KARADENİZ ORANView profile

Professor

• Educational Technology
• Artificial Intelligence in Education
• Instructional Design
• +7 more

Professor Şirin Karadeniz Oran serves as Rector's Consultant at Bahçeşehir University's Faculty of Education Sciences, Department of Computer and Instructional Technologies Education. With over two decades of academic experience, she has held progressive academic appointments from Research Assistant to full Professor, alongside significant administrative leadership roles including Dean and Institute Deputy Director. Her educational background includes a PhD in Educational Sciences from Ankara University (2005), where her dissertation focused on hypermedia structures and cognitive flexibility. She also holds a Master's degree in Informatics from Gazi University (1999) and a Bachelor's degree in Technical Education (1995). Professor Karadeniz Oran's research spans Educational Technology , Artificial Intelligence in Education , and Instructional Design , with particular emphasis on digital literacy development, cognitive aspects of learning, and technology integration in educational settings. Her scholarly output demonstrates consistent focus on evolving educational technologies and their practical implementation. Her publication portfolio shows strong emphasis on research methodology and educational technology applications , with numerous editions of methodology textbooks and specialized works on AI in education. The trajectory reveals increasing focus on emerging technologies while maintaining foundational work in research methods. BAU Toplumsal Fayda Ödülü (2018) Yılın Başarılı Kadın Eğitimcisi Ödülü (2016) TUBITAK Yayın Teşvik Ödülü (2009) Bahçeşehir Üniversitesi Yayın Teşvik Ödülü (2008) Professor Karadeniz Oran has supervised 19 graduate theses covering diverse topics from AI literacy for middle school students to technology integration challenges in schools. Her administrative leadership includes serving as Rector (2019-2023), Dean (2019-2017), and multiple departmental leadership positions. She maintains active professional memberships in Educational Sciences and Informatics associations while continuing to teach graduate courses in educational technology and project management.

Alexander MeschtscherjakovView profile

Professor

• Human-Computer Interaction
• Interaction Design
• Computer Sciences
• +3 more

Alexander Meschtscherjakov is a Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces . With over 198 research outputs and 18 projects, his work focuses on Human-Computer Interaction (HCI), Augmented Reality (AR), and Interactive Systems for mobility and urban design. Active Projects : DiMo-NEXT (2024-2028), Doctoral College Human-Computer Interaction (2022-2027), LBI Digital Health (2019-2026) Research Themes : AR in public spaces, adaptive motion tracking, sustainable design, and user-centered AI frameworks His 15 most recent articles (2023-2025) explore AR applications in urban design (2025), generative AI democratization (2025), motion sickness prevention (2016), and breathing-based interaction methods (2023). Notable scientific awards include the Lasting Impact Award Automotive UI (2024), CHI 2019 Honourable Mention , and multiple best paper awards.

Guangya YangView profile

Associate Professor

• Power System Stability
• Offshore Wind Energy
• Cyber-Physical Power Systems
• +7 more

Guangya Yang is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with expertise in power system stability, control, and protection of low-inertia systems, particularly in offshore wind applications. He has worked full-time as an electrical design and simulation specialist at Ørsted (2020-2021) and maintains active roles in IEEE, IEC standardization, and editorial work as lead editor for IEEE Access PES. PhD in Electrical Engineering (University of Queensland, 2008) Senior Member of IEEE Former expert member of European Technology & Innovation Platform for solar PV His research focuses on electromagnetic transient simulation, cyber-physical energy systems, and grid compliance for wind power plants. He leads the Horizon 2020 InnoCyPES project (€12m+ grants), training 15 early-stage researchers in cyber-physical energy systems. Key contributions include validating synchronous condensers for low-inertia systems and developing industry training programs on offshore wind control strategies. Coordinated Hardware-in-the-Loop test bench standards (IEC61400-21-5) Advances in grid-forming converter stability and fault ride-through assessment Developed digital twins for power grid validation Scientific Recognition: World’s Top 2% Scientists (Elsevier/Stanford, 2024) Advising & Grants: Supervises 5 PhD students in projects related to machine learning, digital twins, and predictive maintenance. Coordinates €12m+ in research grants, including Horizon 2020’s InnoCyPES. Labs & Collaborations: Works with Ørsted, industry partners, and international universities on offshore wind validation and digitalization.

• Microeconomics
• Industrial Organization
• Mechanism Design
• +4 more

Kosmas Marinakis serves as a Senior Lecturer of Economics at the College of Integrative Studies (CIS), Singapore Management University (SMU), where he has been a full-time faculty member since 2019. He concurrently holds the leadership role of Director for the Digital Learning Unit of CIS and is recognized as a science videographer for his innovative educational media contributions. His academic credentials include a Ph.D. in Economics from North Carolina State University (2008), an MA in Economics with a Statistics minor from the same institution (2004), and a BSc in Economics with an Applied Economics minor from Athens University of Economics and Business, Greece (2002). Prior to SMU, he held academic appointments at Wake Forest University (USA), University of Cyprus, and Higher School of Economics (Russia). Dr. Marinakis specializes in Microeconomics, Industrial Organization, and Mechanism Design, with significant contributions to Economics of Education and Experimental Economics. His current research investigates digital pedagogy through asynchronous and synchronous methods for science communication and educational economics, building on publications in journals such as the International Journal of Industrial Organization, Journal of Economics, and Economics Bulletin. At SMU, he teaches Economics and Society and drives strategic initiatives in Digital Transformation and Growth in Asia as Director of the Digital Learning Unit, enhancing CIS's educational technology infrastructure and digital learning experiences.

• Intercultural Communication
• Translation Studies
• Tourism Translation
• +5 more

Richard Clouet serves as a Professor in the Department of Modern Philology, Translation and Interpretation at the University of Las Palmas de Gran Canaria (ULPGC). His academic profile shows active engagement in research through the GIR Translation and Interpreting, Interculturality, Applied Languages and Travel Literature research group, with significant contributions across multiple institutional collaborations including the IUIAText and GIR Discourse, Communication and Society groups. Clouet's research focuses on the intersection of translation studies, intercultural communication, and language pedagogy. His work emphasizes practical applications in tourism translation, telecollaboration, and machine translation integration in educational contexts. Recent publications demonstrate particular interest in developing intercultural competence through innovative teaching methodologies, with strong focus on ESP (English for Specific Purposes) frameworks and virtual exchange programs. His scholarship bridges theoretical discourse analysis with practical translator training concerns. Analysis of his 15 most recent publications reveals consistent thematic progression toward technology-enhanced intercultural communication, with increasing emphasis on telecollaboration frameworks, machine translation applications, and tourism-specific translation challenges. The research trajectory shows evolution from traditional discourse analysis toward contemporary digital communication contexts, while maintaining focus on cultural adaptation and professional translator competencies. Clouet maintains active research collaborations with scholars including Isabel Cristina Alfonzo De Tovar, Susan Isobel Cranfield McKay, and María Soraya García Sánchez. His work appears in journals such as Revista de Linguística y Lenguas Aplicadas and Hikma, with publications spanning articles, book chapters, and conference proceedings. Current research directions include gamification in adult language learning, multimodal communication in ubiquitous learning environments, and intercultural intelligence models for translation professionals.

• Cognitive Psychology
• Eye Movement Research
• Memory Studies
• +7 more

Univ.-Prof. Dr. Pierre Sachse is a Professor of General Psychology at the University of Innsbruck, Austria, where he holds the Professorship for General Psychology within the Faculty of Psychology. His office is located at Universitätsstraße 5-7 (Grauer Bär), Room 2S20, with postal address at Universitätsstraße 15, A-6020 Innsbruck. His research spans multiple domains of cognitive and experimental psychology, with particular emphasis on visual perception, memory processes, and psychophysiological measures. Professor Sachse's research interests focus on eye movement patterns, attentional mechanisms, memory consolidation processes, and sensory processing sensitivity. His work employs sophisticated methodologies including eye tracking, psychophysiological measurements, and experimental cognitive paradigms to investigate fundamental cognitive processes. He has made significant contributions to understanding how post-learning activities affect memory retention, how gaze behavior influences social interactions, and the relationship between sensory processing sensitivity and cognitive performance. His research bridges theoretical cognitive psychology with practical applications in work psychology and human-computer interaction. Analysis of his recent publications reveals a strong trend toward interdisciplinary research combining cognitive psychology with social, business, and historical perspectives. His work increasingly integrates advanced data analysis techniques with traditional experimental methods, as evidenced by the development of tools like SPBView for eye movement analysis. There's a clear progression from basic cognitive processes to their application in real-world contexts including team performance, leadership, and interpersonal communication. His research maintains a consistent focus on individual differences, particularly how sensory processing sensitivity moderates cognitive and emotional responses. Professor Sachse has supervised numerous doctoral and postdoctoral researchers, with Martini, Maran, Furtner, Hoffmann, and Büsel appearing frequently as co-authors on his publications. His collaborative network extends across multiple institutions and disciplines, reflecting the interdisciplinary nature of his research. While specific grant information isn't detailed in the provided materials, his extensive publication record suggests successful funding for multiple research projects over his career. His research group appears to focus on experimental cognitive psychology with specialized equipment for eye tracking, psychophysiological measurements, and behavioral experiments. The group conducts both laboratory and naturalistic studies, including mobile eye tracking in real-world environments. Their work spans basic cognitive mechanisms to applied contexts in business, leadership, and social interactions.

• Pedagogy
• Student Engagement
• Student Success
• +4 more

Liz Goode is a Senior Lecturer at Southern Cross University, working within the Academic Portfolio Office. She specializes in evaluating innovative education models through the scholarship of learning and teaching (SoLT), with a focus on immersive/block teaching models and enabling education for non-traditional students. Her research interests include: Pedagogy in higher education Student engagement Student success Enabling education programs Immersive learning models Curriculum reform Key scientific awards include: Excellence in Pedagogical Research Award (IBILTA, 2024) Outstanding Teaching Award (Southern Cross University, 2021) 5 Star Staff Commendation (Southern Cross University, 2019) World Teacher's Day Award (Southern Cross University, 2019) Vice-Chancellor’s Award for Collaboration Excellence (University of Newcastle, 2017) Office for Learning and Teaching (OLT) Citation (2014) Vice Chancellor’s Citation for Outstanding Contributions to Student Learning (University of Newcastle, 2012) University Medal (University of Newcastle, 2010) Her recent publications demonstrate a consistent focus on immersive block models, student success in blended/online education, and curriculum reform for equity-focused outcomes across multiple disciplines.

• Artificial Intelligence
• Deep Learning
• Action Recognition in Videos
• +4 more

Catherine Achard is a full Professor at Sorbonne University, affiliated with the RPI-Bio team under Polytech Sorbonne. She has served as Deputy Director at Polytech Sorbonne since 2020 and has been actively involved in research and teaching in artificial intelligence and computer vision. Research Focus: Artificial Intelligence, Deep Learning, Action/Gesture Recognition, Multi-modal Interaction, Person Re-identification Teaching: AI courses at Sorbonne University (M1/M2) and Polytech Sorbonne, Image Processing for L3. Her recent publications (2023-2025) demonstrate expertise in 3D point cloud registration, adaptive virtual agents, and multimodal interaction analysis. Key trends include geometric constraint handling, deep reinforcement learning for action spotting, and biomedical applications of AI. Technical Contributions: Development of RoCNet++ for point cloud registration, ASAP framework for agent adaptation, and SALAD for action detection. Collaborations span robotics, medical imaging, and human-computer interaction projects across international conferences.

• Cognitive and brain science
• Experimental psychology
• Kansei informatics
• +7 more

Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.

• Sport Psychology
• Psychophysiology
• Cognitive Neuroscience
• +3 more

Hiroaki Masaki is a Professor at the School of Sport and Sciences, specializing in neurocognitive and psychophysiological mechanisms of athletic performance. He earned his Ph.D. in Human Sciences from Waseda University in 1997 and leads the Masaki Lab, which investigates motor control, performance monitoring, and cognitive processes in sports contexts using methods like EEG/ERP and virtual reality. His research integrates sport psychology, cognitive neuroscience, and experimental physiology to optimize athletic training and performance under pressure. Masaki's research focuses on Sport Psychology, Psychophysiology, and Cognitive Neuroscience, with emphasis on: (1) Attentional and motor control mechanisms in sports performance (e.g., effects of visual stimuli on precision tasks), (2) Neural correlates of error monitoring and decision-making using ERP (e.g., ERN/Pe components), and (3) Interoception and hemispheric asymmetry in athletic contexts. His work employs neurophysiological metrics to decode cognitive flexibility, performance anxiety, and skill acquisition. Recent publications (2020–2025) demonstrate a consistent focus on sport-specific neurocognition, including studies on golf putting, tennis, basketball, and rowing. Key trends include the application of immersive VR for dynamic task analysis, exploration of left-hand contraction effects on performance, and the impact of motivational incentives on cognitive control. Methodologically, 80% of recent articles use ERP/EEG, highlighting a neurophysiological emphasis. Masaki directs the Masaki Lab, which utilizes advanced neuroimaging and behavioral paradigms to study real-time cognitive processes in athletes. The lab collaborates on interdisciplinary projects, such as VR-based cognitive assessments and pediatric physical education initiatives.