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Bimlesh WadhwaView profile

Associate Professor

• Software Engineering
• Human-Computer Interaction (HCI)
• Computing Education
• +4 more

Dr. Bimlesh Wadhwa is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) and serves as Assistant Dean for Student Life at Tembusu College. She holds dual affiliations as a Residential Fellow at Tembusu College and an active member of the School of Computing's academic community. Her work bridges software engineering, human-computer interaction (HCI), and computing education. Dr. Wadhwa's research focuses on gender issues in HCI, software design quality, and digital well-being. She has pioneered initiatives like the Code for Community program to bring computing education to underserved groups. Her pedagogical contributions include developing courses on object-oriented design, software engineering principles, and interaction design. She actively engages with professional communities through roles such as Faculty Representative at the Singapore Computer Society Student Chapter and advisor to the Computing Club at NUS. Her recent work addresses pressing societal challenges like technology-facilitated sexual violence and integrates AI into educational contexts. She has organized major competitions including CodeXtreme and the Singapore Science and Engineering Fair, fostering innovation among students. Her interdisciplinary collaborations span healthcare applications, smart city technologies, and educational equity initiatives. Dr. Wadhwa’s scholarly contributions include over 80 publications in top venues such as FSE, CHI, and IEEE conferences. She has co-edited book chapters for Springer and Wiley on HCI and informatics, reflecting her commitment to advancing both technical and societal dimensions of computing. In addition to her academic roles, she leads MakerLab initiatives and contributes to national educational policies on computational thinking. Her work emphasizes bridging academia-industry gaps through projects like the GEAR mobile game-assisted rehabilitation system and cloud service brokerage frameworks.

Yi GuView profile

Associate Professor

• Modern and Contemporary East Asian Art
• Visual Culture
• Chinese Art History
• +5 more

Yi Gu is an Associate Professor of modern and contemporary art and visual culture at the University of Toronto Scarborough (UTSC), with cross-appointments in the Department of Arts, Culture and Media and the Department of East Asian Studies. Her scholarly work centers on Asian visual culture, particularly China's artistic and photographic history from the early twentieth century to the present. Her research interests include cold war visual culture, post-socialist art, Chinese photography history, contemporary photography in Asia, mass art and amateurism, and visual methodologies across disciplines. Gu's work is driven by examining the political ambitions and social functions of art, as well as the politics of aesthetics. Her recent research has focused on aesthetic capitalism and digital surveillance in China, leading to studies of the Digital Countryside initiative and CCP aesthetics anchored in agrarian imaginary. Gu's publications reveal a consistent engagement with visual epistemology, particularly how Chinese artists and photographers have negotiated modernity, nation-building, and transnational influences. Her work spans from early twentieth-century open-air painting practices to contemporary digital visual culture, demonstrating how visual practices serve as critical sites for understanding China's social and political transformations. As co-editor of the open-access academic journal Trans Asia Photography and convening member of the research project 'Alternative Collections and Digital Humanities: Twentieth-Century Chinese Art and Visual Culture,' Gu actively contributes to expanding the field of Asian visual studies through collaborative scholarly initiatives. At UTSC, Gu teaches undergraduate courses on modern and contemporary Asian art, lens-based media in Asia, public art, and art and digital culture. Her scholarly approach combines art historical methods with visual culture studies, media theory, and cross-disciplinary perspectives to examine how visual practices shape and are shaped by political and social contexts in China and beyond.

• Machine Learning
• Deep Learning
• Signal Processing
• +9 more

Prof. Dr.-Ing. Ahmad Osman is a Professor at the Saarland University of Applied Sciences (htw saar), specializing in Test Technologies and Test Methods within the Faculty of Engineering. He also holds an Adjunct Professor position at Laval University in Quebec, Canada, in the Department of Electrical Engineering and Computer Science. His research focuses on Artificial Intelligence applications in Signal and Image Processing for Non-destructive Testing (NDT) , with extensive work on Deep Learning , 3D Ultrasound Tomography , and Sensor Data Fusion in industrial contexts. Engineering Artificial Intelligence Signal Processing Image Processing Non-destructive Testing Quality Control Augmented Reality Osman leads the AutomaTiQ research group and serves as Head of the Algorithms/Signal and Data Processing Department at Fraunhofer IZFP . His recent publications (2017–2022) emphasize Deep Learning for defect detection in CFRP , Terahertz Imaging for artwork diagnostics, and Acoustic Sensors for agricultural quality control. He has organized international conferences on Structural Health Monitoring and contributed to Springer books on NDT technologies. His projects include ComforTex-AI (2024) and development of 3D positioners for ultrasound measurements. Collaborations span institutions in Germany, Canada, Italy, and Brazil, with advisory roles in the German Society for NDT and technical committees for conferences in Montreal and Egypt.

Ed PetkusView profile

Adjunct Professor

• Marketing Education
• Marketing History
• Non-Profit Marketing
• +1 more

Ed Petkus is an Adjunct Professor at the Anisfield School of Business (ASB), Ramapo College of New Jersey, where he has been teaching since 2006. He holds a Ph.D. in Marketing from the University of Tennessee, an M.B.A. in Marketing from Virginia Tech, and a B.S. in Biochemistry & Nutrition from Virginia Tech. Education Ph.D., Marketing, University of Tennessee M.B.A., Marketing, Virginia Tech B.S., Biochemistry & Nutrition, Virginia Tech Research Interests Dr. Petkus focuses on Marketing Education , Marketing History , Non-Profit Marketing , and Sustainability Issues . His work explores innovative pedagogical approaches, cross-cultural learning dynamics, and the integration of sustainability and aesthetics into marketing practices. Publications & Contributions His recent publications examine the role of natural environments in teaching, cross-cultural learning styles, historical marketing case studies, and the application of holistic marketing in nonprofit contexts. He has presented research at international conferences including the Academy of Marketing Science and Global Business Development Institute.

Allyson Nadia FieldView profile

Associate Professor

• Black cinema
• silent cinema
• non-extant film
• +8 more

Allyson Nadia Field is an Associate Professor in the Department of Cinema and Media Studies and affiliated with The College at the University of Chicago. She is also an Affiliated Faculty member at the Center for the Study of Race, Politics, and Culture and the Center for the Study of Gender and Sexuality. Ph.D., Harvard University Her research explores African American cinema, silent film, and archival studies. She focuses on how cinema shapes race and gender representation, particularly in nontheatrical and nonextant films. Her work bridges film form, media theory, and cultural analysis. Field’s recent publications examine archival rediscovery, speculative methodologies in film history, and the legacy of early Black filmmakers. She co-edited projects on the L.A. Rebellion and nontheatrical film, emphasizing Black feminist curation and institutional critique. 2024-2025 NEH Public Scholars Grant 2020-2021 ACLS/Burkhardt Fellowship 2019 Academy Film Scholar 2021 National Film Preservation Board appointee She has organized major exhibitions, including the 2023 Sojourner Truth Festival of the Arts, and currently co-edits a collection on the visual afterlives of slavery. Her teaching includes courses on silent cinema, experimental film, and archival theory.

Alexandra PapoutsakiView profile

Associate Professor

• Human-Computer Interaction
• Eye Tracking
• Shared Gaze for Remote Collaboration
• +5 more

Alexandra Papoutsaki is an Associate Professor of Computer Science at Pomona College since 2017. Her research focuses on Human-Computer Interaction , particularly in webcam-based eye tracking and shared gaze for remote collaboration . Ph.D. in Computer Science from Brown University M.Sc. in Computer Science from Brown University B.Sc. in Computer Science from Athens University of Economics and Business Her work spans personal informatics , crowdsourcing methodologies , and remote usability testing , with recent projects examining collaborative drawing interfaces, baby tracking reflection, and digital health communities. Earlier contributions include computational biology research in genome-wide survival analysis and pan-cancer mutation networks. Key trends in her publications include: Remote collaboration tools enhanced by eye tracking Personal data systems for health and creative domains Foundational work in crowdsourcing quality control Interdisciplinary approaches combining computer science with psychology and medicine Scientific recognition includes: NSF CRII Grant (2020-2022) Wig Distinguished Professor Award (2020) Best Paper at RECOMB (2013) She has developed multiple open-source platforms including WebGazer for scalable eye tracking and Remotion for mobile usability testing. Her research team has published extensively in top venues like CHI, IMWUT, and IJCAI.

James Herbert-ReadView profile

Associate Professor

• Behavioural Ecology
• Marine Biology
• Collective Animal Behaviour
• +4 more

Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration

Zhibo PangView profile

Adjunct Professor

• Embodied Intelligence
• Artificial Intelligence/ML
• Robotics
• +7 more

Zhibo Pang is an Adjunct Professor at KTH Royal Institute of Technology's Department of Intelligent Systems (EECS) and Senior Principal Scientist at ABB Corporate Research Sweden. His work focuses on digital transformation in industry and healthcare, spanning robotics, AI, control systems, and wireless communication. He leads projects in embodied intelligence, Industry 4.0, and Healthcare 4.0, with 23 granted patents and over 120 journal papers. Education: PhD in Electronic and Computer Systems (KTH, 2013), MBA in Innovation & Growth (University of Turku, 2012). Key Roles: IEEE Technical Committee Chair, Editor of 6 IEEE journals, ABB Inventor of the Year (2016, 2018, 2021). Research Interests: Robotics safety, wireless automation, federated learning, digital twins, and IoT security. Recent Projects: Cloud-fog automation frameworks, robot skin systems for healthcare, and latency-aware industrial control. His work bridges academia and industry through cross-functional collaborations.

Anne H Schistad SolbergView profile

Professor

• Machine Learning
• Deep Learning
• Image Analysis
• +6 more

Anne H Schistad Solberg is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. She leads research in digital signal processing and image analysis, with a focus on machine learning applications across multiple domains. As co-director of SFI Visual Intelligence, she oversees research on interpretable deep learning models, uncertainty quantification, contextual learning, and self-supervised learning approaches. Her research spans medical imaging (particularly cardiovascular ultrasound), environmental monitoring using satellite imagery, and seabed mapping with sonar technology. Professor Solberg's work demonstrates a consistent trajectory from foundational signal processing techniques to cutting-edge deep learning applications. Her recent publications show increasing specialization in medical image analysis, particularly in echocardiography enhancement and cardiac structure segmentation, while maintaining strong contributions to remote sensing and geophysical applications. She teaches several popular courses including IN2070, IN3310, and IN5400 (Machine Learning for Image Analysis), which is noted as the most popular master's/PhD course on deep learning at the University of Oslo. Professor Solberg serves as principal investigator for the Intelligent Cardiovascular Ultrasound Scanner (INCUS) project, collaborating with GE Vingmed Ultrasound to develop AI-enhanced cardiac imaging systems that improve diagnostic accuracy and productivity in echocardiography. Co-director of SFI Visual Intelligence research center Principal Investigator for the INCUS project (Intelligent Cardiovascular Ultrasound Scanner) Member of the Digital Signal Processing and Image Analysis (DSB) research group Member of the Strategic Research Initiative: Multimodal Medical Imaging and Image Analysis (MEDIMA) Her research group develops algorithms that address real-world challenges in medical diagnostics and environmental monitoring, with a particular emphasis on making deep learning models more interpretable and reliable for critical applications. The INCUS project, funded through User-driven Research-based Innovation (BIA), aims to reduce the time wasted during cardiac ultrasound examinations by implementing intelligent algorithms that learn from expert users and historical data.

• AI Governance
• Privacy and Security
• Responsible AI
• +8 more

Yang Wang is a Professor of Information Science and Computer Science (courtesy) at the University of Illinois at Urbana-Champaign (UIUC), where he co-directs the SALT lab and is part of the Interactive Computing group and Security and Privacy Research at Illinois (SPR@I). He holds affiliations with the Institute of Software Research (ISR) at UC Irvine and advises Conviva. His research spans AI governance, privacy, security, and inclusive technologies, focusing on marginalized populations such as people with disabilities and non-Western communities. Education: Ph.D. from the University of California, Irvine (UCI), under advisors Dr. Alfred Kobsa, Dr. André van der Hoek, and Dr. Gene Tsudik. Previous roles include Assistant Professor at Syracuse University and Research Scientist at Carnegie Mellon University’s CyLab. He has collaborated with institutions like Alcatel-Lucent Bell Labs, Intel Research, and Tsinghua University. Research interests include AI safety for children (aisafety4kids.org), inclusive privacy mechanisms, accessible authentication for visually impaired users, and policy implications of AI. Notable projects include Inclusive.AI (funded by OpenAI), privacy in smart homes, and drone privacy studies. Awards and grants include NSF SaTC awards, NSF CAREER, and industry partnerships with Meta/Facebook, Google, and OpenAI. His work has been featured in outlets like the New York Times and Wall Street Journal. Current PhD advisees include Smirity Kaushik and Yaman Yu, with notable alumni such as Dr. Yaxing Yao (now at Johns Hopkins) and Dr. Tanusree Sharma (Penn State). Labs/Teams: Co-director of the SALT lab, part of SPR@I and the Interactive Computing group at UIUC. Collaborates with industry and policy bodies, including the FTC.

Jennifer MillsView profile

Professor

• Body Image
• Eating Disorders
• Social Media Impact
• +4 more

Dr. Jennifer Mills is a Professor and Director of Clinical Training in the Clinical Psychology graduate program at York University's Faculty of Health, leading the EASE Lab. Her research focuses on body image, eating disorders, and the impact of social media on women's psychological well-being. She holds degrees from the University of Toronto (PhD 2001, MA 1996, BSc 1995). Key research areas include social media's effects on body dissatisfaction, orthorexia nervosa, and interventions for disordered eating. She has published extensively on topics such as self-compassion interventions, Instagram imagery impacts, and pandemic-related behavioral changes. Her educational background includes a strong foundation in psychology and clinical research, with a focus on translational work between theory and practice. Current projects explore the psychological mechanisms behind body image concerns, including the role of perfectionism and emotional intelligence in mitigating eating disorder symptoms. She collaborates widely, as evidenced by multi-author publications and interdisciplinary research efforts. Labs/Teams: Director of the EASE Lab (Eating, Affect, and Self-Evaluation) at York University. The lab's work integrates behavioral experiments, longitudinal studies, and community-based interventions to address body image and eating disorder prevention.

Siyu TangView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Digital Humans
• +5 more

Siyu Tang is an Assistant Professor in the Department of Computer Science at ETH Zürich, where she leads the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Her research focuses on computational models for human perception and digitalization through computer vision and machine learning. Her educational background includes: PhD in Computer Science, Max Planck Institute for Informatics (2017), supervised by Prof. Bernt Schiele Master of Science in Media Informatics, RWTH Aachen University Bachelor of Science in Computer Science, Zhejiang University, China Dr. Tang specializes in human-centric computer vision, developing statistical models for motion analysis, pose estimation, and digital human creation. Her work integrates machine learning with optimization techniques to enable machines to interpret human activities from visual data, with applications spanning virtual reality, healthcare, and human-computer interaction. Key research thrusts include generative models for content creation, egocentric vision, and human motion synthesis. Her recent publications (2024-2025) demonstrate intense focus on 3D human modeling and neural rendering, with Gaussian splatting emerging as a dominant technique for efficient avatar creation and scene reconstruction. Significant themes include text-driven motion synthesis using diffusion models, relightable avatars, surgical training applications, and egocentric multimodal pretraining. This work bridges computer vision, graphics, and machine learning to advance human digitalization. No scientific awards were mentioned in the provided text. Dr. Tang leads the VLG research group at ETH Zürich, mentoring PhD and Master's students in human-centric AI. She previously secured an early career research grant from the Max Planck Institute for Intelligent Systems to establish her independent research program. Her group actively pursues funding for projects in human motion analysis, 3D reconstruction, and generative modeling, with strong industry and clinical collaborations. The Computer Vision and Learning Group (VLG) operates within ETH's Institute of Visual Computing, maintaining dedicated facilities for motion capture, 3D scanning, and high-performance computing. The team collaborates internationally with institutions like the Max Planck Society and focuses on scalable solutions for real-world human digitalization challenges, including surgical training systems and immersive virtual environments.

Filipa Melo LopesView profile

Lecturer

• Feminist Philosophy
• Social Theory
• Sexual Ethics
• +4 more

Filipa Melo Lopes is a Lecturer in Social and Political Philosophy at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences. She currently directs the Scottish Feminist Philosophy Network. Her research focuses on feminist philosophy, social theory, sexual ethics, and the work of Simone de Beauvoir, with recent attention to incel extremism, fashion ethics, and gender-based violence. Education: B.A. from Simon Fraser University (Canada), Ph.D. from University of Michigan (USA). Teaching includes undergraduate courses like 'Advanced Topics in Feminist Philosophy: Gender and Beauty' and PhD supervision in feminist ethics and political theory. She has supervised several doctoral students, including Lilith W. Lee (now Assistant Professor at Vrije Universiteit Amsterdam). Publications analyze themes such as misogynistic dehumanization, feminist fashion ethics, and Beauvoirian critiques of incel ideology. Her work bridges academic philosophy with public discourse on topics like sugar dating and incel violence. Active in feminist knowledge networks, she also writes for broader audiences on fashion, misogyny, and cultural criticism.

Jean GoodwinView profile

Professor

• Science Communication Ethics
• Civil Argumentation
• Public Science Communication
• +3 more

Dr. Jean Goodwin is the SAS Institute Distinguished Professor of Rhetoric & Technical Communication at NC State University's Department of Communication, part of the College of Humanities and Social Sciences. She specializes in science communication ethics, civil argumentation, and the rhetoric of controversial scientific topics such as climate change and GMOs. Her work bridges theory and practice, including NSF-funded initiatives like Teaching Responsible Communication of Science, which develops case studies for STEM graduate students. She also leads the Leadership in Public Science cluster through NC State's Chancellor’s Faculty Excellence Program. Education: B.A. in Mathematics (University of Chicago, 1979), J.D. (University of Chicago, 1984), and Ph.D. in Communication/Rhetoric (University of Wisconsin-Madison, 1996). Her career includes over 25 years of teaching rhetoric and mentoring students across communication subfields. Research focuses on how scientists communicate effectively with non-experts, leveraging discourse analysis and conceptual frameworks like speech act theory. Key themes include trust-building in contentious contexts, ethical advocacy roles for scientists, and historical rhetorical strategies from Cicero to modern policy debates. Her work often intersects with civic engagement and interdisciplinary collaboration, such as organizing conferences for science communication scholars and advising organizations like the AAAS. Major publications explore ethical dimensions of science communication, including climate change advocacy, disinformation detection, and pandemic messaging. Awards include the EB Knight Journal Award (2007) and her distinguished professorship. Current initiatives emphasize translating scholarly insights into practical tools for scientists and fostering dialogue between scientific and public communities through funded research partnerships.

• Literary Studies
• Cultural History
• Visual Culture
• +5 more

Giorgia Alù is an Associate Professor at the University of Sydney, affiliated with the Department of Italian Studies within the Faculty of Arts and Social Sciences. She holds a PhD from the University of Warwick and has taught at institutions including the University of Reading. Her research focuses on intersections between literature, photography, and cultural history, with a specialization in modern Italian studies and women's writing. Education: PhD (Warwick), MA (Warwick), BA (Catania). Research Interests: Travel writing and photographic culture Italian cultural history and visual studies Photography's ethical and aesthetic dimensions WWII Italian detainees' cultural production Recent Projects: Leading an ARC Discovery Project on WWII Italian detainees' creativity and co-investigating multilingual archives in Australia. Her book projects include Sicilian mining's global impacts and Italian female photographers' roles in cultural preservation. Awards: Excellence in Teaching (2013), Senior Fellowship at Freiburg Institute (2022-2023), and multiple research grants from the University of Sydney and ARC. Teaching: Courses on Italian language, literature, and visual culture including ITLN3688 (Advanced Italian Translation) and IC LS2626 (Words & Pictures Across Cultures). Labs/Teams: Member of Sydney Environment Institute and Vere Gordon Childe Centre. Collaborates internationally on digitizing cultural heritage and migrant archives.