جست‌وجوی استاد و پژوهشگر

Hans Berendsمشاهده پروفایل

استاد

• Digital Innovation
• Innovation Management
• Organization Studies
• +۴ مورد دیگر

Hans Berends is a Full Professor of Innovation and Organization at the KIN Center for Digital Innovation within the School of Business and Economics at Vrije Universiteit Amsterdam. He holds concurrent roles at the Amsterdam Business Research Institute and serves as the Head of the KIN Center. Berends holds a PhD from Eindhoven University of Technology, with expertise spanning philosophy and industrial engineering. His research focuses on digital innovation ecosystems, interorganizational collaboration, and process-based approaches to understanding innovation dynamics. He teaches innovation management across bachelor, master, and executive programs, and supervises doctoral students in process research methods. Education : PhD in Industrial Engineering, Eindhoven University of Technology Background in Philosophy and Industrial Engineering Research Interests : Berends examines digital innovation through process research, exploring platforms, ecosystems, and emerging collaboration forms. He emphasizes temporal coordination, complementarity in innovation ecosystems, and organizational responses to technological change. His work bridges qualitative methods with strategic management, addressing challenges like platform governance, data sharing compliance, and circular economy transitions. Awards & Grants : Journal of Business Venturing / Lazaridis Best Paper Award (2022) SO! WHAT Best Paper Award (2021) €1.5M NWO Grant for Regional Innovation Systems (2022) EGOS Max Boisot Award (2018) Advising & Projects : Supervised 9 PhD theses and leads projects like the €1.5M "EXTRA: Transformative Methodologies" initiative. Active in the EDIH NWNL digitalization project for SMEs. Serves on editorial boards of Strategic Organization and Journal of Product Innovation Management . Labs & Teams : Leads the KIN Center for Digital Innovation, fostering research on digital transformation, innovation ecosystems, and organizational dynamics.

• Neuroscience
• Computational Systems
• Brain Imaging
• +۷ مورد دیگر

J. Adam Noah is an Associate Research Scientist in Psychiatry at the Yale School of Medicine , affiliated with the Brain Function Laboratory . His work combines computational systems, brain imaging, and virtual reality interventions to advance clinical and basic neuroscience research. Dr. Noah specializes in functional near-infrared spectroscopy (fNIRS) data acquisition and analysis, focusing on neural mechanisms underlying motor control, decision-making, and cognitive function . His recent studies explore applications of wearable neuroimaging in dementia screening , autism diagnostics , and creative cognition , utilizing machine learning algorithms for clinical prediction. His publications reveal trends in social neuroscience (eye contact studies), psychiatric biomarkers (psychosis classification), and neurotechnology development (mobile brain monitoring systems). Key collaborators include Dr. Joy Hirsch (neuroimaging) and Dr. James McPartland (autism research).

• Sustainable Human Resource Management (HRM)
• Common Good HRM
• AI in HRM
• +۶ مورد دیگر

Dr. Candy Ying Lu is a Senior Lecturer in International Management and Employment at Macquarie University's Department of Management. She holds a PhD from Monash University (2012), recognized with the Dr Nicholas Beaumont Memorial Award. Her research focuses on sustainable HRM, common good HRM, AI in HRM, and cross-cultural management. She has published in top journals like Human Resource Management and Management International Review . Dr. Lu leads the Master of International Business program and the MCom - International Business specialization. Her awards include the 2023 Vice-Chancellor’s Excellence Award and multiple conference best paper awards. She serves as Section Editor of Stress & Health and Associate Editor of Chinese Management Studies . Education: PhD in Management (Monash University, 2012) Research Interests: AI-HRM, sustainable practices, cross-cultural dynamics, and workplace safety Her work explores the intersection of technology and human resource practices, emphasizing ethical AI, employee well-being, and global business strategies. Recent studies address algorithmic management’s impacts and sustainable HRM’s role in fostering resilience. She has secured grants for projects like 'Integrating AI in Decision-Making' and 'Occupational Health and Safety in Mining'. Awards: AOM 2023/2020 Best Paper, BAM 2019 Best Paper Service: Course Director for Master of International Business, Head of International Business major (2014–2020) Dr. Lu collaborates internationally on topics like Chinese MNEs in Australia and urban digitization. She leads the Centre for Workforce Futures and contributes to policy-oriented research through impact stories like 'Sustainable HRM Practices and Common Good Values'.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

• Computer Graphics
• Virtual and Augmented Reality
• Facial Expression Analysis
• +۴ مورد دیگر

Joe Geigel is a Professor in the Department of Computer Science at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. He holds a DSc in Computer Science from George Washington University, an MS in Computer Science from Stevens Institute of Technology, and a BS in Mathematics from Manhattan College. His career includes industry positions at Eastman Kodak, Bell Laboratories, and RCA Solid State before transitioning to academia. Geigel's research explores the intersection of computer graphics and performing arts, with expertise in: Virtual and augmented reality systems Facial expression analysis and motion capture Interactive theatre and dance technologies Human-computer interaction for creative applications Interdisciplinary education methods His publications demonstrate consistent innovation in virtual performance technologies, with recent work focusing on mixed reality theatre, museum interpretation systems, and educational applications of immersive technologies. He has directed over 15 technology-enhanced productions including Singring and the Glass Guitar and Farewell to Dawn . As co-director of the CS Graphics and Applied Perception Lab, Geigel leads the XRLive team developing extended reality solutions for live performances. He teaches graduate courses in computer graphics, animation algorithms, and virtual reality applications.

John R. Hottمشاهده پروفایل

دانشیار

• Computer Science Education
• Evolving Networks
• Social Network Analysis
• +۴ مورد دیگر

John R. Hott is an Associate Professor in the Department of Computer Science at the University of Virginia. He holds a Ph.D. from the University of Virginia (2018) and degrees from the College of William and Mary (B.S. 2005, M.S. 2007). His research focuses on improving CS education through AI integration, analyzing student collaboration dynamics, and social network evolution. He also explores data visualization and interdisciplinary applications in the humanities and education. Education: Ph.D. Computer Science, University of Virginia, 2018 M.S. Computer Science, College of William and Mary, 2007 B.S. Computer Science and Mathematics, College of William and Mary, 2005 Research Interests: CS Education innovations Collaboration policies and academic integrity Social network analysis in evolving systems AI-driven classroom tools Data visualization techniques CS integration in humanities His recent work emphasizes equitable course design, leveraging community software, and pandemic-era educational adaptations. Notable contributions include the ASCI initiative and analysis of Piazza engagement patterns. Awards: ACM@UVA Teacher of the Year (2024) ACM@UVA Rising Star Faculty (2023) Raven Fellowship (2015) John teaches courses like CS4730 (Game Design), CS4640 (Web Programming), and foundational algorithms and data structures. His work bridges pedagogical theory with practical classroom implementation, emphasizing scalable solutions for large enrollments.

Neill Campbellمشاهده پروفایل

استاد

• Visual Computing
• Machine Learning
• Computer Vision
• +۱۳ مورد دیگر

Neill Campbell is a Professor of Visual Computing and Machine Learning in the Department of Computer Science at the University of Bath . He is the Director of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) and co-director of the Centre for Mathematics and Algorithms for Data (MAD) . He holds an external position as Honorary Associate Professor at University College London and is a Royal Society Industry Fellow. His research spans visual computing, machine learning, and their applications in graphics, vision, and healthcare. His educational background includes a Master of Engineering and a Doctor of Philosophy in Engineering from the University of Cambridge, with his PhD focusing on Automatic 3D Model Acquisition from Uncalibrated Images. Neill Campbell’s research interests lie at the intersection of shape modeling , machine learning , and computer vision . He develops probabilistic and deep learning models to understand and generate visual content, with applications in digital humans, virtual production, biomechanics, and medical imaging. His work emphasizes uncertainty quantification, generative modeling, and alignment learning using Gaussian processes and Bayesian nonparametrics. He leads interdisciplinary projects that bridge computer science and mathematical sciences. The recent publications reflect a strong trend in probabilistic modeling , geometric deep learning , and medical applications . Topics include Gaussian process-based shape modeling, anomaly detection in safety-critical systems, and sparse approximations for geometric representations. His work increasingly integrates theoretical machine learning with real-world applications in health, engineering, and creative industries. Royal Society Industry Fellow Neill Campbell actively supervises PhD students across multiple Centres for Doctoral Training (ART-AI, SAMBa, CDE) and leads significant research grants such as MyWorld (UKRI Strength in Places Fund) and REMODEL (EPSRC). His group collaborates with industry leaders like Rolls-Royce, NVIDIA, Adobe, and DNEG, and he supports student internships and industrial placements. He is also involved in spin-out activities, including contributions to Forceteck Ltd. He leads the Visual Computing Group and is deeply embedded in research centers including CAMERA , MAD , and MyWorld . His team includes postdoctoral researchers and PhD students working on 3D reconstruction, biomechanics, inverse problems, and generative models, fostering a collaborative and interdisciplinary research environment.

Sky Croeserمشاهده پروفایل

مدرس ارشد

• Digital Activism
• Technology Ethics
• Queer Theory and AI
• +۵ مورد دیگر

Dr. Sky Croeser is a Senior Lecturer at Curtin University, located on Noongar Boodja (Perth), within the School of Media, Creative Arts and Social Inquiry under the Faculty of Humanities. They hold a portfolio in the Office of the Provost. Their research examines how people shape and are shaped by everyday technologies, focusing on activist communities and digital justice. Teaching units include Power, Politics, and the Internet and The Digital Economy , integrating practical workshops with theoretical frameworks. Research interests span queer parenting praxis in AI ethics, intersectional critiques of online free speech, Tunisian Internet reform post-2011 revolution, and Greek anti-fascist media strategies. They emphasize participatory methods and accessible knowledge dissemination through collaborations with Tactical Technology Collective and Ad Astra Comix , producing comic-based resources on topics like AI ethics and digital rights. Recent work prioritizes climate justice advocacy and decolonial approaches to technology. Dr. Croeser’s publications address blended data methodologies, digital liberties movements, and the sociopolitical dimensions of internet governance. They actively engage with community groups through initiatives like the Learning Futures network , designing workshops on leveraging the internet for social change.

Maria Sapphoمشاهده پروفایل

پژوهشگر ارشد

• Improvisation
• Artificial Intelligence
• Experimental Music
• +۷ مورد دیگر

Maria Sappho is a Research Fellow at the University of Huddersfield's School of Arts and Humanities, specializing in Digital Playgrounds for Music. She leads the Chimere Communities project, addressing Western dominance in AI research through international artistic collaboration. PhD in Interactive Research in Music (IRiMaS) MMus and BMus from Royal Conservatoire of Scotland Her research bridges artificial intelligence, experimental music, and feminist theory, focusing on multi-species collaboration with AI and mushrooms. Key projects include the Chimere Communities and Digital Playgrounds for Music impact project. Recent publications include a 2025 Oxford University Press book on collaborative creativity and articles in Psychology of Music and Liminalities . Her 2024 exhibition Ça pourrait être mieux critiques AI's cultural narratives. BBC Radiophonic Daphne Oram Award (2021) Dewar Award (2018) New Piano Stars Competition Winner (2015) As module coordinator at Royal Conservatoire and tutor at the Institute for Contemporary Music Performance, she mentors emerging artists globally.

Felix Gerloffمشاهده پروفایل

پژوهشگر

• Sound Studies
• Digital Cultures
• Media Theory
• +۸ مورد دیگر

Felix Gerloff is a junior researcher at the Institute of Experimental Design and Media Cultures (Academy of Art and Design, University of Applied Sciences and Arts Northwestern Switzerland), specializing in programming as a cultural technique and computational thinking in human-machine collaborations. He is also a PhD candidate at Humboldt-University Berlin , where he earned his Masters in Cultural History and Theory in 2013. At the Max Planck Institute for the History of Science (MPIWG), he works as a visiting predoctoral fellow in the 'Epistemes of Modern Acoustics' group, focusing on the history of the decibel with Sebastian Schwesinger. Education: Magister Artium (MA), Cultural History & Theory, Humboldt-University Berlin (2013) PhD candidate, Humboldt-University Berlin Gerloff’s research bridges Sound Studies , Digital Cultures , and Media Theory , examining how sound functions as an epistemic tool in urban environments and software engineering. His work on the decibel explores intersections between auditory media, scientific instrumentation, and transnational knowledge exchange. He co-organizes the KlangDenken (Sonic Thinking) colloquium in Berlin since 2011. His publications analyze sonic reasoning , noise as a figure of thought , and creative coding in projects like Sonic Pi. He contributes to academic initiatives such as continent. and the Impact proceedings, emphasizing interdisciplinary and experimental research methods.

• Dental biomechanics
• Instrumentation design
• Systems engineering
• +۶ مورد دیگر

Dr. Jie Chen is a Professor and Chair of the Department of Mechanical Engineering at Purdue University (Indianapolis campus, with a courtesy appointment in West Lafayette). He holds dual roles in Mechanical Engineering and Orthodontics. His research focuses on dental biomechanics, energy systems, and instrumentation design, with significant contributions to orthodontic load systems and biomedical engineering. Education: B.S. in Mechanical Engineering, Tianjin University (1982) M.S. in Biomedical Engineering, Shanghai Second Medical University (1985) Ph.D. in Mechanical Engineering and Mechanics, Drexel University (1989) Research Interests: Energy efficiency in HVAC systems and electrical demand forecasting Quantification of orthodontic force systems using finite element analysis Biomechanical validation of orthodontic appliances CT-based quantification of dental displacement and root resorption Optical and haptic interfaces for medical and automotive systems His publications span energy optimization, orthodontic biomechanics, and human-machine interaction. Notable works include real-time energy management platforms and finite element modeling for orthodontic simulations. Recent research explores AI-driven visual analytics and autonomous vehicle systems. Grants & Labs: Active in interdisciplinary collaborations at Purdue, with lab work focused on biomechanical testing and smart energy systems. Supervises projects in orthodontic engineering and advanced manufacturing.

James J. Hodgeمشاهده پروفایل

دانشیار

• Digital Media Studies
• Digital Aesthetics
• Media Theory and History
• +۵ مورد دیگر

James J. Hodge is an Associate Professor of English and member of the graduate faculty at Northwestern University, affiliated with Art History and Screen Cultures. He holds a Ph.D. from the University of Chicago. His research focuses on digital media aesthetics, media theory, and critical theory, particularly exploring how artistic forms express the incoherence of lived experience. His book Sensations of History: Animation and New Media Art (2019) examines animation in the digital age, while his current project Ordinary Media: An Aesthetics of Always-On Computing analyzes digital artworks reflecting the psychological impacts of constant connectivity. Teaching and Collaboration: Hodge teaches courses on digital aesthetics, media theory, and film, including future courses on Jordan Peele, American horror film, and classic Hollywood genres. He collaborates across disciplines, co-organizing events on media aesthetics with Communication Studies, Asian Languages, and the Humanities Institute. Notable collaborations include co-curating Paul Chan's exhibition at the Block Museum and co-editing Oxford Bibliographies in Cinema and Media Studies . Research Interests: Explores network visualization, digital mental health (anxiety/depression), meme aesthetics, and the materiality of digital art. His work bridges philosophy (phenomenology/psychoanalysis) with contemporary media practices, emphasizing tactile experiences of technology and the entanglement of human/machinic creativity.

Luís A. Nunes Amaralمشاهده پروفایل

استاد

• Complex Systems
• Systems Biology
• Science of Science
• +۵ مورد دیگر

Luís A. Nunes Amaral is the Erastus Otis Haven Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering. He also holds courtesy appointments in Physics and Astronomy, and Medicine (Pulmonary and Critical Care). His research focuses on complex systems, systems biology, and the science of science, addressing challenges in healthcare, innovation, and machine intelligence. He has published over 180 peer-reviewed papers in prestigious journals like Nature, Science, and Cell. Education: PhD in Physics (Boston University), M.S. and B.S. in Physics (Universidade de Lisboa). Research Interests: Emergence of complex systems, healthcare analytics, creativity in science, and AI ethics. His work spans interdisciplinary collaborations, including projects on electronic health records, gene expression dynamics, and open justice systems. Selected Awards: NIH CAREER Award, Keck Foundation Distinguished Scholar, HHMI Early Career Scientist, Fellowships from APS, AAAS, and Network Science Society. He received the 2020 Provost's Award for Exemplary Faculty Service. Lab: Amaral Lab focuses on network science, systems biology, and quantitative social science. Current Students: Includes PhD candidates Maalavika Pillai, Feihong Xu, and Huaxia Zhou. Grants: Active funding in healthcare analytics, AI ethics, and systems biology.

Matthew Lewisمشاهده پروفایل

دانشیار

• Emerging Technologies
• Computer Graphics
• Generative Design
• +۳ مورد دیگر

Matthew Lewis is an Associate Professor in the Department of Design at The Ohio State University with joint appointments in the Advanced Computing Center for the Arts and Design (ACCAD) and Translational Data Analytics Institute (TDAI). His research explores the intersection of emerging technologies, computer graphics, and generative design, with applications in visualization, digital art, and interactive tools. Education: PhD, Computer and Information Science, The Ohio State University, 2001 MS, Computer and Information Science, The Ohio State University, 1993 BSE, Computer Science Engineering & BA, Philosophy, University of Pennsylvania, 1991 His work focuses on developing procedural animation, virtual environments, and augmented reality applications. Key projects include digital humanities prototyping, neighborhood disorder visualization using VR, and silent film reconstruction through AR technology. Teaching: Courses include Graduate Design Studio, Procedural Animation, and Programming Concepts for Artists. His pedagogical approach emphasizes collaborative and technology-integrated studio learning.

Tiffany Calvertمشاهده پروفایل

دانشیار

• Digital Art
• Contemporary Painting
• Artificial Intelligence in Art
• +۳ مورد دیگر

Tiffany Calvert is an Associate Professor and Chair of the MFA in Visual Art program at Washington University in St. Louis’s Sam Fox School of Design & Visual Arts. Her work merges traditional painting techniques like fresco and oil with digital technologies such as AI-driven image generation (StyleGAN) and 3D modeling. She explores themes of algorithmic aesthetics, historical art recontextualization, and the intersection of art and capitalism. Education: MFA in Visual Art, Mason Gross School of the Arts, Rutgers University (2005) BA in Studio Art, Oberlin College (1998) Research Interests: Calvert investigates how artificial intelligence and data manipulation reshape painting’s legacy. Her Machine Vision series employs machine learning trained on historical still lifes, creating hybrid works that critique economic speculation (e.g., tulip mania) and digital reproduction’s impact on artistic value. Her practice bridges gendered art histories and contested boundaries between human and algorithmic creativity. Awards & Grants: Great Meadows Foundation Professional Development Grant (2024) University of Louisville Inaugural Creative Works Award (2023) Pollock-Krasner Foundation Grant (2010) Geraldine R. Dodge Fellowship (2010) Advising & Labs: As MFA Director, she oversees WashU’s graduate visual art program. Her studio practice incorporates advanced digital fabrication tools and interdisciplinary collaborations. Upcoming projects include a 2024 solo exhibition at KMAC Museum exploring AI-driven “adversarial nature” themes. Exhibition Highlights: Recent shows include Living Arrangements (Kathryn Markel Fine Arts, 2023) and Adversarial Nature (Tinney Contemporary, 2023). Her work has been featured in Hyperallergic, Evergreen Review, and Majuscule magazine.