جست‌وجوی استاد و پژوهشگر

Scott Bartonمشاهده پروفایل

دانشیار

• Music Composition
• Robotics Engineering
• Psychology
• +۶ مورد دیگر

Scott Barton is an Associate Professor of Music at Worcester Polytechnic Institute (WPI), with affiliate appointments in Robotics Engineering, Computer Science, and Psychology. He leads the Music, Perception and Robotics (MPR) Lab and co-founded Expressive Machines Musical Instruments (EMMI), focusing on robotic musical instrument design and human-robot interaction. His research spans rhythm perception, creativity, and audio production, blending psychology, engineering, and music. His teaching includes courses on music and mind, musical robotics, digital sound, and algorithmic composition. He actively engages in performances and workshops, such as the 2024 International Computer Music Conference in Seoul and the Algorave event in Worcester. Awards: None explicitly listed in the provided texts. His contributions include over 15 publications in journals like Music Perception and conferences such as NIME. He advises students in interdisciplinary projects at the MPR Lab and collaborates on robotic instrument development. Labs: Directs the MPR Lab and co-founded EMMI, focusing on innovative musical robotics and human-robot interaction.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

• Event Cognition
• Human-Robot Interaction
• Visual Working Memory
• +۴ مورد دیگر

Frank Papenmeier is a Professor in the Department of Psychology at the University of Tübingen, within the Faculty of Science. His research focuses on event cognition, human-robot interaction, visual working memory, and visual attention. He coordinates the 'Coordination Cognitive Psychology and Research Methods' research group. His work explores how people perceive and interact with dynamic environments, including studies on event segmentation, cognitive offloading, and aesthetic judgments. He has contributed to over 100 peer-reviewed articles, with recent work addressing topics like the impact of framing on art perception and the role of AI in education. Papenmeier's research integrates experimental methods with interdisciplinary approaches, including collaborations on teleoperation systems and AI-based tutoring. He has presented at major conferences such as the European Society for Cognitive Psychology and the Psychonomic Society. His lab emphasizes methodological rigor, evidenced by contributions to replication databases and open science initiatives. Education: Not explicitly stated in the text, but his titles include Dr. rer. nat. (Doctor of Natural Sciences) and Diplom-Psychologe (Psychology Diploma). Research Interests: His primary areas include event cognition, human-robot interaction (e.g., helping behavior toward robots), visual working memory (e.g., spatial configuration processing), and cognitive offloading (e.g., impact on memory and performance). He also investigates aesthetic judgments and narrative comprehension through eye-tracking and experimental paradigms. Articles Trends: Recent work addresses applied topics like cookie consent interfaces, AI in education (e.g., R programming tutors), and perceptual effects in 3D cinema. His studies often bridge cognitive theory with real-world applications, such as usability design and social robotics. Labs/Teams: Leads the research group 'Coordination Cognitive Psychology and Research Methods' at the University of Tübingen. Collaborates with interdisciplinary teams on projects involving robotics, AI, and human-computer interaction.

• Rhythm Perception
• Pattern Recognition
• Music and Entrainment
• +۳ مورد دیگر

Nashra Ahmad is a Research Fellow at Durham University, affiliated with the Department of Music and the Institute for Medical Humanities. She is a PhD candidate supported by the Durham Doctoral Studentship and holds a Master's in Cognitive Science from IIT Gandhinagar (2021) and a BA in Psychology (First Class Honours) from Aligarh Muslim University (2018). Her research focuses on rhythm perception, consonance/dissonance dynamics, and music cognition, combining neuroscience and interdisciplinary approaches. She is an active member of the Music and Science Lab and an editorial assistant for DURMS . Additionally, she teaches Psychology at the Durham Centre for Academic Development (DCAD). Key research interests include: rhythmic entrainment in North Indian classical music, sensorimotor synchronization, and neural correlates of musical perception. Her work bridges cognitive science, musicology, and technology, with publications in Data in Brief , Frontiers in Neurorobotics , and Music & Science . Awards include the Sabarmati Bridge Fellowship (2021) for pre-doctoral research and the Durham Doctoral Studentship (2022). Education: Bachelor of Arts in Psychology (First Class Honours), Aligarh Muslim University, 2018 Masters in Cognitive Science, Indian Institute of Technology Gandhinagar, 2021 Her publications analyze EEG responses to music, resonance strategies in AI design, and beat prediction from neural data. She has presented at international conferences such as the International Conference of Students of Systematic Musicology (2023) and the Max-Planck-Institut für empirische Ästhetik (2022). Awards: 2022: Durham Doctoral Studentship 2021: Sabarmati Bridge Fellowship Teaching and Outreach: She teaches Psychology to foundation-year students at DCAD and has prior experience teaching guitar and music theory in India. Her creative interests include landscape painting and sculpting, reflecting her interdisciplinary engagement with art and science.

John Dolanمشاهده پروفایل

استاد

• Robotics
• Autonomous Driving
• Human-Robot Interaction
• +۴ مورد دیگر

John Dolan is a Courtesy Professor in the Department of Electrical and Computer Engineering and a Senior Systems Scientist at the Robotics Institute of Carnegie Mellon University. He works in 3109 Newell-Simon Hall and focuses on creating systems that enable collaboration between robots and humans for practical tasks.

• Computer Vision
• 3D Reconstruction
• Perceptual Information Processing
• +۷ مورد دیگر

SATO Jun holds the position of Professor at the Department of Information Engineering (メディア情報分野) within the Faculty of Engineering at Nagoya Institute of Technology. He received his Ph.D. in Information Engineering from the University of Cambridge (1993–1996) and previously served as a Research Assistant at Cambridge (1996–1998). His research focuses on perceptual information processing and intelligent informatics, with specializations in computer vision, 3D reconstruction, and optical engineering applications. He has authored influential books like Computer Vision - Geometry of Vision (1999) and Computer Graphics (2017), and contributed to international publications such as Springer's Computer Vision: A Reference Guide (2020). Key professional roles include serving as President of the IEEE Nagoya Branch since 2023, Associate Editor of the International Journal of Computer Vision (Springer, 2010–present), and committee member for various organizations including Japan's Ministry of Education (2015–present) and the Nagoya City Business Potential Evaluation Committee (2008–2015). He has been recognized with prestigious awards including the BMVC Best Science Paper Prize (1994, 1997) and ITE Niwa-Takayanagi Prize (2015). His research extends to industrial collaborations, evidenced by patents like the "3D Information Presentation Device" (2014–2017) and "Position Detecting Device" (2016–2019). Recent work emphasizes applications in automotive safety, occluded object reconstruction, and novel imaging systems using advanced optical configurations and neural networks.

Joseph J. LaViola Jr.مشاهده پروفایل

استاد

• Computer Science
• Virtual Reality (VR)
• Augmented Reality (AR)
• +۶ مورد دیگر

Joseph J. LaViola Jr. is the Charles N. Millican Professor of Computer Science at the University of Central Florida's Department of Computer Science. He is also affiliated with the Institute for Simulation and Training. His research focuses on 3D user interfaces (3DUI), virtual reality (VR), augmented reality (AR), pen-based computing, human motion estimation, and human-robot interaction. He serves as the director of the Interactive Computing Experiences Research Cluster and has authored influential textbooks like 3D User Interfaces: Theory and Practice . LaViola leads research initiatives in immersive technologies, emphasizing practical applications in gaming, education, and collaborative environments. His work spans gesture interaction design, spatial navigation, and AR/VR system development. He actively mentors students at undergraduate, master's, and Ph.D. levels, encouraging creativity and dedication in research projects. His recent publications explore topics such as redirected walking in VR, dual-camera interactions for smartphone AR, and perceptual studies in immersive environments. He emphasizes bridging academic research with real-world applications, particularly in healthcare, civil engineering, and human-centered systems. LaViola's contributions include advancing gesture recognition techniques, optimizing VR/AR interfaces for accessibility, and fostering interdisciplinary collaboration through his lab and authored tools like AffordIt! and MathPad 2 .

Isabella Maggioniمشاهده پروفایل

دانشیار

• Consumer Behavior
• Marketing Psychology
• Luxury Management
• +۵ مورد دیگر

Dr. Isabella Maggioni is an Associate Professor of Marketing and Academic Director of the MSc in Luxury Management at ESCP Business School (Turin campus). Her research focuses on consumer behavior, luxury retail, sustainable consumption, and technology-driven marketing solutions. She has published in leading journals like the Journal of Business Research and European Management Journal , with a strong emphasis on bridging academic theory with industry application. Her work explores how technology (e.g., AI, robotics) shapes consumer experiences, alongside themes like ethical consumption, brand identity alignment, and post-pandemic digitalization in fashion and retail. She collaborates with global organizations to deliver actionable insights on retail innovation and service design. Maggioni’s research often intersects with societal challenges such as climate change and youth engagement in sustainability. Notable contributions include studies on NFTs in luxury markets, neurophysiological responses to retail robotics, and digital servitization strategies for SMEs during crises. Her academic leadership in luxury management education is complemented by expertise in cross-channel consumer behavior and B2B sales automation.

Tony G. Chenمشاهده پروفایل

استادیار

• Robotics
• Mechanical Engineering
• Field Robotics
• +۳ مورد دیگر

Tony G. Chen is an incoming Assistant Professor at the Georgia Institute of Technology, starting in summer 2025, specializing in mechanical intelligence for robotics applications. Previously, he served as a Postdoctoral Fellow at Harvard University (2024) and holds advanced degrees from Stanford University. His educational background includes: Postdoctoral Fellow, Harvard University, 2024 Ph.D., Stanford University, 2023 M.S., Stanford University, 2020 B.S., Georgia Institute of Technology, 2017 Chen's research pioneers mechanical intelligence—designing physical mechanisms that inherently simplify perception, control, and autonomy challenges in unstructured environments through rapid prototyping and bio-inspiration. His work spans three critical domains: (i) field robotics for developing novel mobility platforms with manipulation capabilities, (ii) dexterous manipulation systems for home and industrial settings, and (iii) biomimetic robotics for biological research. This interdisciplinary approach bridges mechanical engineering and autonomous systems to create inherently robust robotic solutions. As an incoming faculty member, Dr. Chen will establish his research laboratory, mentor graduate students, and pursue major research grants in robotics innovation. His work positions him at the forefront of next-generation robotic systems for real-world deployment.

Richard Lewisمشاهده پروفایل

استاد

• Cognitive Science
• Linguistics
• Computational Linguistics
• +۵ مورد دیگر

Richard Lewis is the John R. Anderson Collegiate Professor of Psychology, Linguistics, and Cognitive Science at the University of Michigan. He directs the Weinberg Institute of Cognitive Science, a hub for interdisciplinary research. His work focuses on computational models of human cognition, particularly language processing architectures, and he co-founded the cognitive science undergraduate major at U-M. Lewis was honored as an Arthur F. Thurnau Professor (2021) for his transformative contributions to undergraduate education. Education: Ph.D., Carnegie Mellon University Research interests span cognitive neuroscience, psycholinguistics, and computational linguistics. His projects investigate how humans process sentences cross-linguistically and adapt predictive models during comprehension. Notable achievements include developing programs that integrate computer science, philosophy, and psychology to study the mind. His articles explore topics ranging from neural noise effects on decision-making to AI's capacity for analogical reasoning. Awards include the Thurnau Professorship, recognizing his dedication to student engagement and curriculum innovation. Lewis advises on interdisciplinary initiatives at the Weinberg Institute and collaborates on projects like icon array communication for public health. His work bridges theoretical models with empirical studies, emphasizing the computational foundations of human cognition.

• Computer Vision
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Nathanael L. Baisa is a Lecturer in Artificial Intelligence at De Montfort University (DMU), part of the Computing, Engineering and Media faculty within the School of Computer Science and Informatics. His academic career includes roles as a senior research associate at Lancaster University, researcher at AnyVision, and research fellow at the University of Lincoln, focusing on computer vision and machine learning projects funded by ERC, EPSRC, and Innovate UK. Education: PhD in Electrical Engineering (Computer Vision/ML - Heriot-Watt University, 2018) MSc in Computer Vision and Robotics (Erasmus Mundus program, 2013) Research focuses on computer vision applications including object detection, scene understanding, autonomous systems, and biometrics. He leads work on deep learning for visual tracking, hand-based person identification, and robotic perception. He teaches courses like Introduction to Computer Vision and Deep Learning frameworks. His recent publications emphasize vision-language models, multi-object tracking algorithms, and geoscience machine learning applications. He collaborates with the Institute of Artificial Intelligence (IAI) and contributes to interdisciplinary projects in robotics and energy exploration.

• Educational Psychology
• Student Motivation
• STEM Learning
• +۴ مورد دیگر

David A. Bergin is a Professor of Educational Psychology at the University of Missouri, specializing in student motivation, STEM learning, and the development of interest. He holds a PhD and an Educational Specialist degree from Stanford University. His work emphasizes understanding how motivation influences academic and informal learning, particularly for underrepresented groups. Bergin is a past president of APA's Division 15 (Educational Psychology) and has contributed to editorial boards of top journals like Journal of Educational Psychology . Research Interests : Bergin investigates how interest and motivation drive learning outcomes, classroom engagement, and career choices. He explores the impact of teacher-student relationships, competition, and cultural factors on student achievement. His recent work includes studies on robotics-based engineering education, interdisciplinary neuroscience curricula, and interventions for underrepresented students. Awards & Recognition : Outstanding College Teaching Award (University of Missouri College of Education, 2018) Fulbright Scholar (2013, teaching motivation courses in Chile) Key Contributions : Co-author of Child and Adolescent Development in Your Classroom (3rd ed.), a widely used teacher-training textbook. He has also developed the Classroom Engagement Inventory and contributed to TIMSS data analysis on international education trends. Advising & Grants : Bergin has advised numerous studies on STEM motivation, low-stakes testing, and college access programs for marginalized students. His grants include funding for neuroscience education initiatives and engineering design learning projects.

Rian Mehtaمشاهده پروفایل

دانشیار

• Aviation Safety
• Autonomous Transportation Systems
• Aviation Management
• +۳ مورد دیگر

Rian Mehta is an Associate Professor and Associate/Assistant Dean within the College of Aeronautics at Florida Institute of Technology. With a focus on aviation research, he has contributed to areas such as airport operations, Safety Management System (SMS) implementation, and future cockpit design. He is a commercial-rated pilot and has held roles including Assistant Managing Editor for the International Journal of Aviation Sciences . His work bridges academic research with practical aviation challenges, emphasizing human factors, passenger behavior, and automation acceptance in transportation systems. Dr. Mehta’s research spans topics like flight instructor safety behaviors, consumer trust in autonomous vehicles, and factors influencing pilot training success. He has published extensively on aviation safety, passenger perceptions of autonomous air taxis and driverless ambulances, and the psychological aspects of flight students. His studies often employ predictive modeling and mediation analysis to uncover relationships between variables such as risk perception, safety climate, and technology adoption. While no formal awards are listed, his contributions to aviation education and safety frameworks reflect impactful academic engagement. Dr. Mehta collaborates on interdisciplinary projects that address emerging trends in aviation and healthcare technology, including robotic dental services and mobile health app usability. His work underscores the importance of balancing technological innovation with human-centric design considerations.

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

Elodie de BOISSIEUمشاهده پروفایل

دانشیار

• Luxury Brand Management
• Technological Innovations in Marketing
• Consumer Behavior in Luxury Contexts
• +۳ مورد دیگر

Elodie de Boissieu is an Associate Professor of Marketing at EM Normandie, where she has served since 2020. She holds a PhD in Management Science from the University of Paris-Est (2019), focusing on luxury brand experiences. As Academic Director of the MSc in Digital and Marketing in Luxury and Lifestyle, she oversees graduate programs blending academic rigor with industry insights. Previously, she managed EIML Business School in Paris (2012–2019) and held senior roles in luxury brands like Yves Rocher and LVMH. Education: PhD in Management Science (2019), University of Paris-Est Professional Experience: Over 20 years in luxury marketing, including risk consulting and executive management roles Her research explores technological innovations in luxury marketing, brand heritage, and consumer behavior in high-end contexts. Key themes include blockchain applications in supply chains, social media robot influencers, and luxury brand museums' impact on consumer engagement. Her work bridges academic theory with practical industry challenges, emphasizing France’s 'Made in France' and luxury craftsmanship values. Publications reflect her interdisciplinary focus, addressing topics like blockchain traceability, AI-driven marketing strategies, and cross-cultural perceptions of luxury. She actively contributes to conferences and peer-reviewed journals, emphasizing luxury sector challenges in a digital era.