Olga Vitek is a Professor at Northeastern University's Khoury College of Computer Sciences, with affiliated faculty status in the Department of Chemistry and Chemical Biology. Her research bridges statistical science and machine learning with mass spectrometry-based proteomics and systems biology, focusing on developing open-source software tools like MSstats and Cardinal for quantitative proteomic analyses and imaging. Education: PhD in Statistics (Purdue University), Postdoc at the Ruedi Aebersold Lab (Institute for Systems Biology) Leadership: Director of the Barnett Institute for Chemical and Biological Analysis Her work emphasizes: Statistical experimental design Signal detection in complex mass spectrometry data Causal inference in biomolecular networks Reproducible computational infrastructure Recent publications highlight advancements in quantitative proteomics , mass spectrometry imaging , and causal modeling , with applications spanning cancer research, immunology, and clinical diagnostics. Notable trends include deep learning integration for image analysis and open-source tool development for scalable, transparent workflows. Scientific accolades: Elected Fellow of the American Statistical Association 2021 Gilbert S. Omenn Computational Proteomics Award NSF CAREER award Chan-Zuckerberg Essential Open-source Software award Senior Member, International Society for Computational Biology
Jonathan Roberts is a researcher at Bangor University, UK, with a focus on data visualization, visual analytics, and educational technology. His work bridges computer science and creative design, particularly in data art exhibitions and authentic learning. Key research areas: Data Visualization, Visual Analytics, Educational Technology, Digital Art Recent publications explore generative AI in visualization design, multiple-view patterns for time series data, and frameworks for creative learning. His collaborations span institutions like QUT, University of Manchester, and University of Cambridge. Notable awards include VAST 2012 Honorable Mention and VAST 2010 Analytic Process Recognition. He contributes to visualization pedagogy and has co-authored works on haptic interfaces, immersive analytics, and coastal data modeling.
Johannes Grave is Professor of Early Modern Art History at Friedrich Schiller University Jena (since 2019), having previously held professorships at Bielefeld University (2012-2019) and deputy directorship at the Centre allemand d'histoire de l'art in Paris (2009-2012). He earned his PhD from the University of Jena with a dissertation on Goethe's print collection. His research explores art theory, European Romanticism, and historical image studies, with emphasis on: Temporality in visual perception Comparative practices in art analysis German/French/Italian painting traditions The intersection of aesthetics and social imagination His publications demonstrate consistent focus on Romantic landscapes (especially Caspar David Friedrich), Renaissance aesthetics, and redefinitions of the sublime. Recent works critically engage with art historiography, copyright debates, and exhibition politics. Notable scientific recognition includes: Gottfried Wilhelm Leibniz Prize (2020) Hans Janssen Prize for European Art History (2012) Fellowships at DFG research groups in Berlin, Bielefeld, and Greifswald He leads doctoral projects on Romantic art, image comparison, and museology, supervising 18+ PhD candidates. As speaker for the cluster initiative Imaginamics and CRC 1288 'Practices of Comparing', he coordinates interdisciplinary teams exploring social imagination dynamics.
Prof. Pia Fricker is an Associate Professor and Vice Head of the Department of Architecture at Aalto University's School of Arts, Design and Architecture in Finland. She holds the Professorship of Computational Methodologies in Landscape Architecture and Urbanism, directing the Urban Studies and Planning Programme. Her research integrates urban design, landscape architecture, and digital design culture, focusing on data-driven methods, immersive environments, and adaptive urban development. Collaborations include ETH Zurich, Singapore University of Technology and Design, and Hafencity University Hamburg. Key projects include the Metaversity and Future Smart Cities initiatives. Fricker has led over 80 publications and exhibitions globally, including at the Venice Biennale and National Design Centre Singapore. She is an editorial board member for the Journal of Digital Landscape Architecture and peer reviewer for multiple journals. Awards include the Digital Landscape Architecture Award (2018) and DLA Scientific Merit Award (2021). Her teaching emphasizes computational pedagogy and digital innovation in design education. Education: PhD in Architecture (ETH Zurich, 2021) Postgraduate in Didactics (ETH Zurich, 2011) MAS in Computer Aided Architectural Design (ETH Zurich, 2003) MSc Arch in Urban Design & Landscape Architecture (Technical University of Karlsruhe, 2001) Research Interests: Computational design, parametric modeling, mixed reality, climate-adaptive ecosystems, generative AI, and sustainable urban development. Her work bridges emerging technologies with ecological and urban challenges, emphasizing interdisciplinary collaboration. Grants & Projects: Metaversity (2023–2025, Principal Investigator) Future Smart Cities Sasakawa (2023–2024, Principal Investigator) ABRA (2020–2023, Project Member) Awards: DLA Awards (2018, 2021) DLA Review Committee Awards (2020–2022) Exhibition Recognitions (Venice Biennale, National Design Centre Singapore) Labs/Teams: Leads the Urban Studies and Planning Programme and collaborates with interdisciplinary teams on projects like the RAILCORRIDOR Singapore initiative. Active in digital twin development and AI-driven design tools.
Prof. Constantin A. Rothkopf is a W3 Professor at the Department of Psychology, Technische Universität Darmstadt, and a secondary member of the Department of Computer Science. He serves as Founding Director of the Centre for Cognitive Science and founding member of the Hessisches Zentrum für Künstliche Intelligenz (hessian.ai). He is also part of the European Laboratory for Learning and Intelligent Systems (ELLIS) and the DAAD Konrad Zuse Schools of Excellence in Artificial Intelligence (ELIZA). His research focuses on the interplay between perception and action, using computational models and experimental studies in humans. Current work includes eye-tracking studies in naturalistic environments, inverse optimal control models, and developing algorithms for virtual agents. Education: Ph.D. in Neuroscience and Informatics from the University of Rochester, followed by postdoctoral research at Frankfurt Institute for Advanced Studies (FIAS). He has held visiting professorships at Central European University (2017) and Columbia University (2023). Awards include an ERC Consolidator Grant (2022) and SCENE Project Funding (2025). Research Interests: Active vision, decision-making under uncertainty, sensorimotor control, and computational modeling. Key themes include how humans use sensory input to form beliefs, make decisions, and act in dynamic environments. Grants/Awards: ERC Consolidator Grant (2022), SCENE Funding (2025) Labs/Teams: Centre for Cognitive Science, hessian.ai, ELLIS Unit Darmstadt
Rongxing Lu is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick (UNB), Canada, since August 2016. Previously, he held positions at Nanyang Technological University (NTU), Singapore (2012–2016) and the University of Waterloo, Canada (PhD in 2012). His research focuses on applied cryptography, privacy enhancing technologies, and IoT-big data security. He has over 7,500 citations and received prestigious awards like the Governor General’s Gold Medal (2012) and the IEEE ComSoc Asia Pacific Outstanding Young Researcher Award (2013). He is an IEEE senior member and serves on editorial boards of journals like IEEE Network. **Education**: PhD in Electrical & Computer Engineering, University of Waterloo (2012), awarded Governor General’s Gold Medal Postdoctoral Fellow at University of Waterloo (2012–2013) **Research Interests**: Developing cryptographic protocols for IoT and big data systems Privacy-preserving techniques for distributed systems Secure communication in 5G/6G networks and vehicular systems **Awards and Recognition**: Recipient of multiple best paper awards in IEEE conferences 2016–2017 Excellence in Teaching Award at UNB **Editorial and Leadership Roles**: Symposium co-chair at IEEE Globecom’16 Secretary of IEEE ComSoc CIS-TC Organized special issues on fog computing security (Elsevier) and big data security (IEEE IoT Journal) **Key Contributions**: Pioneered privacy-aware data reporting schemes for vehicular networks Designed lightweight IoT authentication protocols Advanced secure machine learning frameworks with privacy guarantees
Matt Curlee is an Associate Professor of Music Theory at the University of Rochester's Eastman School of Music since 2007. He holds the Eisenhart Award for Excellence in Teaching and is recognized for his work bridging music theory, composition, and interdisciplinary collaborations. His research explores ear-brain interactions, improvisation, and the interplay between fundamental physics and musical space. Curlee is also an accomplished composer, with works performed globally, including the percussion sextet Little One and the chamber ballet Nanosecond . He has collaborated with visual artists, dancers, and scientists, as seen in his film adaptation of The Yellow Wallpaper . Education: Began his career at Eastman as an undergraduate, winning the Grand Prix de Chartres in 1995. Founded the contemporary jazz ensemble Neos in 2002, serving as artistic director and composer. His compositions are featured on major streaming platforms and in film/TV soundtracks. Research: Focuses on cognitive skills for performance, collaborative music-making, and the integration of technology in music. His works emphasize interdisciplinary artistry, blending classical, jazz, and experimental forms. Awards: In addition to the Eisenhart Award, his music has garnered over 15,000 streams for Little One and recognition from Arts Canada and the Rebanks Family Foundation. Advising/Grants: Advised students in composition and performance; led Neos' commissioning program generating global composer collaborations. Current projects include Let the rain (multi-config ensemble) and adaptations of Nanosecond . Labs/Teams: Collaborates with Eastman's percussion ensembles and interdisciplinary groups. Active in the Institute for Music Leadership and Sibley Music Library initiatives.
Prof. Dr. Enkelejda Kasneci is a Distinguished Professor at the Technical University of Munich (TUM), leading the Chair of Human-Centered Technologies for Learning. She holds dual affiliations within TUM School of Social Sciences and Technology and TUM School of Computation, Information and Technology. Her research integrates AI, eye-tracking, and immersive technologies to advance educational paradigms. She directs the TUM Center for Educational Technologies and chairs the MSc program 'AI in Society.' Education: PhD in Computer Science from University of Tübingen (2013), M.Sc. from University of Stuttgart (2007). Earlier roles include Assistant Professor and Dean of Studies at University of Tübingen. Research Focus: Human-centered AI applications in education, multimodal interaction design, and privacy-preserving eye-tracking. Her work bridges technology and pedagogy through projects like AI tutor PEER, VR Classroom, and Privacy-Preserving Eye-tracking. Key Projects: Leads EU-funded projects VIVA (€1.125M), DigiProMIN (€163K), and SARA Kids (€244.8K). Active in policy initiatives like Europe’s AI Imperative. Awards: TUM Heinz Maier-Leibnitz Medal (2024), Liesel Beckmann Distinguished Professorship (2022), and Südwestmetall Research Prize (2014). Grants & Advising: Over €5M in secured funding across 12+ projects. Supervises 14+ PhD researchers and mentors postdocs in AI education and HCI. Labs & Teams: IT-Stiftung EdTech Lab houses advanced VR/eye-tracking setups. Research group includes 20+ members spanning AI, HCI, and educational technology.
Kate Palmer Albers serves as Associate Professor of Art History in the Department of Art & Visual Studies at Whittier College, where she teaches courses on photography history, visual culture, new media, and contemporary art. Her academic work centers on the dynamic relationship between emerging technologies and visual representation within networked societies. Her educational foundation includes a B.A. from Colorado College, M.A. from the University of California, Riverside, and Ph.D. from Boston University. Professor Albers' research investigates contemporary visual culture through multiple interconnected lenses: the ephemerality of digital photography, visual activism in social media ecosystems, gender and racial representation in institutional spaces, and the politics of public monuments. She examines how algorithmic systems reshape personal archives, collective memory, and artistic practice while maintaining critical focus on accessibility and equity in cultural representation. Her scholarship bridges historical photographic practices with cutting-edge digital phenomena including multi-gigapixel imaging, virtual reality, and data visualization. Her recent publications reveal consistent thematic threads exploring photography's transformation in the digital age, particularly how networked technologies create new forms of visibility and erasure. These works examine algorithmic vision systems, archival preservation challenges, and the circulation of images across physical and digital realms, often highlighting tensions between democratic access and technological control. Her notable recognition includes: Arts Writers Grant (2015) from Creative Capital/Warhol Foundation supporting her digital project Circulation/Exchange: Moving Images in Contemporary Art Professor Albers actively mentors students through course instruction while developing innovative public scholarship. Her current research portfolio includes a fictional adaptation of The Night Albums , analytical essays on challenging image circulation, and pioneering work documenting transgender representations in photographic history. She maintains active engagement with digital humanities methodologies and public-facing academic writing.
Kristian O'Connor is a Professor in the Department of Kinesiology within the College of Health Sciences at the University of Wisconsin-Milwaukee, where he also serves as Associate Vice Provost for Research Education. His academic credentials include a Ph.D. in Exercise Science from the University of Massachusetts (2002), an M.S. in Exercise Science from Arizona State University (1998), and a B.A. in Physics from Colorado College (1994). Dr. O'Connor's research centers on the biomechanics of musculoskeletal injury, with particular emphasis on knee injury mechanisms during sports activities. His work investigates how neuromuscular fatigue contributes to increased injury risk in conditions like anterior cruciate ligament (ACL) tears and anterior knee pain, and explores its role in osteoarthritis progression. A significant innovation in his research involves developing portable single-camera 3D motion capture technology for clinical settings, eliminating the need for specialized laboratory environments. Analysis of his 15 most recent publications reveals consistent focus on age-related movement changes, knee biomechanics during dynamic tasks, and fatigue-induced injury mechanisms. His work spans geriatric mobility, athletic performance, and clinical rehabilitation, with strong methodological emphasis on motion analysis and neuromuscular assessment. Key trends include transition step descent biomechanics, visual-motor integration in aging populations, and foot-joint coupling dynamics in runners. Dean’s Award for Outstanding Service (2016), College of Health Sciences As Associate Vice Provost for Research Education, Dr. O'Connor oversees research training programs while maintaining active NIH-funded research. His recent grants include NIH R44HD068147-02 ($1.5M) and R43HD068147-01 ($215k) for developing clinical gait assessment tools, plus industry funding from Sport Biomechanics, Inc. His research program integrates motion capture technology development with fundamental injury mechanism studies, focusing on translating laboratory findings to clinical applications for injury prevention and rehabilitation. Dr. O'Connor leads a biomechanics research laboratory focused on developing portable motion analysis systems and investigating injury mechanisms across diverse populations including athletes, older adults, and clinical patients. His team's development of single-camera 3D motion tracking represents a significant advancement toward accessible clinical biomechanics assessment.
Andrea Bunt is a Full Professor and Associate Head (Graduate) in the Department of Computer Science at the University of Manitoba, where she co-directs the HCI lab. She has established herself as a leading researcher in human-computer interaction with significant contributions to software learnability, rural computing, and technologies for children and families. Her work bridges theoretical and practical aspects of HCI, with strong community engagement through student supervision and collaborative projects. Dr. Bunt completed her B.Sc. at Queen's University, followed by an M.Sc. in 2001 and Ph.D. in 2007 at the University of British Columbia. Prior to joining the University of Manitoba, she was a Postdoctoral Fellow at the University of Waterloo in the Human-Computer Interaction Lab. This educational trajectory has provided her with a strong foundation for her interdisciplinary research approach. Her research interests span multiple areas within human-computer interaction, with particular focus on software learnability for diverse user groups, improving computing experiences in rural and remote communities, and designing technologies specifically for children and families. Her work on explainable AI, gender inclusivity in technology, and collaborative learning dynamics represents cutting-edge contributions to the field. Recent projects include Stream Assistant for live streamers, digital interventions for adolescent tech disengagement, and gender-inclusive approaches to online question-and-answer platforms. Analysis of her recent publications reveals a strong emphasis on user-centered approaches to technology design, particularly focusing on vulnerable or underserved populations. Her work consistently bridges theoretical HCI principles with practical applications, demonstrating how technology can be made more accessible, inclusive, and effective for diverse user groups. There's a clear trajectory toward addressing societal challenges through HCI, with increasing focus on ethical considerations in AI systems. CS-Can | Info-Can Young Researcher Award (2018) NSERC Accelerator Supplement (2015-2018) Multiple Best Paper Awards at premier conferences including CHI, Graphics Interface, and FDG Consistent recognition for methodological innovation and impactful research contributions Dr. Bunt actively mentors a diverse group of students at all levels, from undergraduate research assistants to Ph.D. candidates. Her lab receives funding from NSERC Discovery Grants and other sources to support research on intelligent interactive systems. She has successfully guided numerous students through their academic journeys, with many going on to impactful careers in academia and industry. Her collaborative approach extends to interdisciplinary partnerships across computer science, education, and social sciences. The HCI lab she co-directs serves as a vibrant research hub focusing on real-world applications of human-computer interaction principles. Current projects address critical challenges including technology use in rural communities, digital wellbeing for adolescents, and inclusive design practices. The lab fosters a collaborative environment where students and researchers work together to develop innovative solutions to complex HCI problems.
Prof. Liqiu Meng serves as Chair of Cartography and Visual Analytics at the Technical University of Munich (TUM). He specializes in advanced geospatial research, digital cartography, and human-technology collaboration frameworks. Current Faculty at TUM Chair of Cartography and Visual Analytics Research Focus: His work bridges cartographic theory with cutting-edge technology, covering topics like 3D urban modeling, AI ethics visualization, geovisual analytics, and spatiotemporal data interpretation. Urban Morphology Analysis AI Ethics Cartography Geovisual Analytics 3D City Data Integration Location-Based Service Design Publications: Recent works (2025-2024) demonstrate expertise in explainable AI for urban analysis, multi-agent systems for geospatial interaction, and advanced spatial modeling techniques. Contact: liqiu.meng@tum.de | contact.lfk@ed.tum.de
Jung Hyup Kim is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Missouri, College of Engineering. His research integrates human factors, ergonomics, and augmented reality to enhance engineering education and healthcare systems. He leads the Human Factors Lab and is actively involved in curriculum innovation through immersive technologies. Education: PhD, Pennsylvania State University BS, Mississippi State University Dr. Kim’s research centers on ergonomics, human-computer interaction, and real-time human performance modeling . He investigates how eye-tracking, motion analysis, and augmented reality can be used to assess workload, situation awareness, and learning effectiveness in real-world environments. His work bridges engineering systems with cognitive science, particularly in educational and healthcare contexts. His recent research, reflected in 15 reconstructed articles, demonstrates a strong trend toward augmented reality in engineering education , with focus areas including real-time motion tracking, eye-tracking for attention monitoring, metacognition in virtual instruction, and posture-based physical demand assessment. These efforts aim to transform traditional lab experiences into interactive, data-driven learning environments. Scientific Awards: No awards explicitly mentioned in the text. Dr. Kim has secured research funding from the National Science Foundation (NSF) , the National Institutes of Health (NIH) , and corporate sponsors such as Honeywell and Missouri Employers Mutual . He advises students like RJ Morrison and Madeline Easley, who have presented at national conferences and won research competitions. His lab develops AR-based teaching modules that assess student engagement and comprehension through biometric and behavioral data. His lab, the Human Factors Lab ( humanfactorslab.net ), is developing a new AR-integrated facility in Lafferre Hall with stations for interactive learning, real-time feedback, and performance testing. The lab aims to create scalable AR systems applicable across Mizzou Engineering disciplines.
Marcus Bingenheimer is an Associate Professor in the Department of Religion at Temple University, Philadelphia. His academic journey includes an MA in Sinology and a Dr.phil in History of Religions from Würzburg University, Germany, along with an MA in Communication Studies from Nagoya University, Japan. He has held teaching and research positions at institutions across Asia and Europe, including Dharma Drum in Taiwan (2005–2011) and visiting roles at universities in Korea, Japan, Thailand, France, and Singapore. His research focuses on Buddhist Studies and Digital Humanities, with specializations in the history of East Asian Buddhism, early Buddhist sutra literature (Āgama/Nikāya), and computational methods in religious studies. Key projects include the digitization of Buddhist temple gazetteers, historical social network analysis of Chinese Buddhism, and the digital edition of the Song Gaoseng Zhuan. He has also pioneered the application of GIS and stylometric analysis to religious texts. Dr. Bingenheimer has authored or edited over 20 books and numerous articles, including Island of Guanyin (2016) and Studies in Āgama Literature (2011). He directs major research initiatives like the Database of Medieval Chinese Syntax and co-leads the FROGBEAR research cluster on Religion and Technology. His work bridges traditional scholarship with cutting-edge digital tools, emphasizing open access and collaborative projects in Buddhist cultural heritage preservation. Grants and fellowships include a Temple University Presidential Grant for the Sutra2DNA project and an ACLS Translation Grant for his work on Wang Rixiu’s Pure Land essays. His lab activities involve projects like the Nanyang GIS data pool for Southeast Asian Chinese sites and the Digital Archive of Buddhist Temple Gazetteers.
Aidong Zhang is the Thomas M. Linville Professor of Computer Science at the University of Virginia, with joint appointments in Biomedical Engineering and the School of Data Science. Her research focuses on machine learning, interpretable AI, federated learning, and generative AI applications in healthcare and bioinformatics. She holds a Ph.D. in Computer Science from Purdue University. Dr. Zhang has been honored with prestigious awards including the ACM Fellow (2017), IEEE Fellow (2009), and the 2025 Distinguished Researcher Award from UVA. Her work bridges computational methods with biomedical challenges, emphasizing fairness, robustness, and explainability in AI systems. Key research areas include federated learning frameworks, concept-based models, and large language models for scientific hypothesis generation. Dr. Zhang leads a lab offering PhD positions in machine learning, bioinformatics, and health informatics. Notable grants include NSF projects on explainable AI platforms and hardware-software co-design for extreme-scale machine learning. Education: Ph.D., Computer Science, Purdue University Affiliations: School of Engineering and Applied Science, School of Data Science Grants: NSF-funded projects on federated learning, multimodal analysis, and biomedical AI Labs/Teams: Zhang's Research Group focusing on interpretable machine learning and healthcare applications
