Prof. Dr. Torben Ferber is a Professor at the Karlsruhe Institute of Technology (KIT), leading the Institute of Experimental Particle Physics (ETP). His research focuses on flavor physics in B-meson decays, searches for dark photons, axion-like particles, and long-lived particles at the Belle II experiment, and future projects like LUXE and DELIGHT. He contributes to detector software development and real-time machine learning algorithms for tracking systems. Teaching responsibilities include undergraduate courses on programming, statistics, and particle physics, as well as advanced graduate courses on flavor physics and modern data analysis methods. His group actively collaborates on Belle II's electromagnetic calorimeter reconstruction and explores cutting-edge technologies like GPU acceleration and FPGA-based tracking. Research trends in recent articles emphasize machine learning applications in track reconstruction, CP-violation studies in B-meson decays, and searches for dark matter signatures. His work addresses unresolved questions in the Standard Model, such as discrepancies in CKM matrix element measurements and the origin of matter-antimatter asymmetry. Outreach activities include VR particle detector demonstrations, LEGO models, and masterclasses for students. Supervision of theses spans topics like GPU-accelerated algorithms, FPGA hardware design, and Belle II data analysis. The group adheres to a Code of Conduct promoting inclusivity and respect in academic collaboration.
Hui Zhang is a Professor in the School of Computer Science at Carnegie Mellon University, where he has made significant contributions to networking research for over two decades. He received his PhD from the University of California, Berkeley in 1993 and has maintained a prominent research career focusing on internet protocols, video streaming, and network management. His research interests span computer networking, internet video streaming, quality of service, content delivery networks, network protocols, multimedia communication, and network management. Professor Zhang's work has been particularly influential in developing adaptive video streaming technologies and content delivery mechanisms that power much of today's internet video infrastructure. His recent publications demonstrate continued innovation in networked systems, with a focus on improving video quality of experience through machine learning techniques and advanced network control mechanisms. The research trends show an evolution from foundational network protocol design to more application-focused solutions for video delivery and user experience optimization. Professor Zhang has mentored numerous successful researchers who have gone on to make their own significant contributions to the field. His collaborative work spans multiple institutions including Carnegie Mellon University, University of California, and various industry research labs. His research has been supported by substantial grants from NSF, industry partnerships, and has resulted in technologies that have been widely adopted in commercial video streaming services. Professor Zhang maintains an active research laboratory focusing on next-generation networked multimedia systems.
Sang Won Lee is an Associate Professor of Computer Science at Virginia Tech and a Visiting Researcher at NAVER AI Lab. His work focuses on Human-Computer Interaction (HCI), computer-mediated empathy, and creative computing. He explores technologies like VR, conversational agents, and live coding to foster empathy, support self-reflection, and enable inclusive collaboration. His research has been recognized with best paper awards at ACM CHI and Creativity & Cognition. He holds a Ph.D. in Computer Science from the University of Michigan, alongside degrees in Music Technology (Georgia Tech), Management Science (Stanford), and Industrial Engineering (Seoul National University). His teaching spans courses like Creative Computing Studio, Computer-Supported Cooperative Work, and Game Design. Research interests include: Empathy through interactive systems Music technology and live coding performances Collaborative tools for education and work VR/AR applications in learning Notable awards include the 2016 International Computer Music Association Award for his composition Live Writing: Gloomy Streets . Recent work explores AI ethics in education, voice agents in parent-child interactions, and cross-device mixed reality experiences. Active in both academic conferences (CHI, NIME) and artistic venues (ICMC performances), he bridges technical innovation with creative expression. His lab develops tools like TaskScape for holistic task management and Octave for spatiotemporal data analysis in construction education.
Lei Wang is a Professor in the Department of Pharmaceutical Chemistry at the UCSF School of Pharmacy . His research focuses on expanding the genetic code to incorporate unnatural amino acids into proteins for biological investigation and therapeutic development. He holds positions at the Cardiovascular Research Institute and the Helen Diller Family Comprehensive Cancer Center . Education: PhD, University of California, Berkeley (2002) MSc, Physical Chemistry, Peking University (1997) Bachelor of Science, Organic Chemistry, Peking University (1994) Research Interests: Wang’s lab pioneers methods to expand the genetic code in cells and organisms, enabling the study of biological processes and the development of biotherapeutics. Key areas include proximity-enabled bioreactivity for covalent protein engineering, RF1 knockout in E. coli, and investigations into ion channels and GPCRs. His work bridges chemistry and biology to manipulate proteins with unprecedented precision. Publications: His recent work highlights covalent protein drugs, crosslinking techniques, and genetic code expansion in model organisms. These studies advance drug design, cellular imaging, and fundamental biological mechanisms. Awards: 2021 Emil Thomas Kaiser Award (Protein Society) 2008 NIH Director’s New Innovator Award 2003 Young Scientist Award (Science/AAAS) Multiple industry and foundation grants Advising & Grants: He mentors students and postdocs in chemical biology, molecular biology, and cell biology. His lab receives funding from NIH, CIRM, and private foundations. Recent grants include the HDFCCC “Bridging the Gap” Award (2022). Labs & Teams: Wang’s lab is part of the UCSF Cardiovascular Research Institute , emphasizing interdisciplinary collaboration. Team members specialize in organic chemistry, molecular biology, and neuroscience.
Dr. Hella Bolck is a Third Space Scientist and Research-Project Manager at the ZHAW School of Engineering's Machine Perception & Cognition Group. She specializes in applying AI to analyze biological and medical images/data, managing complex interdisciplinary projects, and advancing the 'academic third space' through collaborative research initiatives. Her work bridges academic, industrial, and societal sectors, emphasizing responsible AI development for healthcare applications. Education includes a PhD in Cancer Biology (University of Zurich, 2016), MSc in Biochemistry and Molecular Biology (Friedrich-Schiller University Jena, 2011), and prior studies in biochemistry. She held roles as Postdoctoral Scientist (2018–2024) and Senior Research Scientist (2016–2018) at University Hospital Zurich. Research focuses on AI-driven medical imaging analysis, cancer biology (especially renal and pancreatic cancers), genomics, and liquid biopsy technologies. She leads projects like AI-BRIDGE (responsible AI development) and LINA (autonomous systems testing), and is deputy leader of the REAL-world NETwork operation initiative. Her work integrates AI, bioinformatics, and clinical applications to improve diagnostics and personalized therapies. Key collaborations involve biobanking, drug testing using patient-derived models, and synthetic lethality mechanisms in tumor suppression. She actively contributes to educational programs like the CAS KI (No-Code AI solutions for industry) and WBK Generative AI in education.
Prof. Dr.-Ing. Martin Gaedke is a Full Professor and Dean of the Department of Computer Science at Technische Universität Chemnitz (TU Chemnitz). He leads the research group Distributed and Self-organizing Systems (VSR) and holds roles such as President of the International Society of Web Engineering (ISWE), founder of the International AIQT Foundation, and member of the German Foundation for University Admissions' IT-advisory board. His expertise spans Web Engineering, AI-driven systems, and decentralized technologies. Education: Martin Gaedke earned a Master's degree (1997) and doctoral degree (2000) in Computer Science/Engineering from the University of Karlsruhe (now Karlsruhe Institute of Technology). Research Focus: Gaedke's work advances collaborative systems in hyper-connected societies, emphasizing Web Engineering, knowledge engineering, and AI-supported hypermedia systems. Key areas include chatbot design patterns, decentralized web trust, smart IoT systems, and end-user development tools. His contributions include pioneering work in Web Engineering since the 1990s, notably co-authoring the first Web Engineering paper at WWW6 (1997). Recent Trends in Publications: Recent research highlights dynamic code migration, GenAI-driven UIs, and ethical AI in chatbots. He emphasizes trust in decentralized systems (e.g., Solid-based social networks) and practical applications like autonomous smart home agents (WS3H). Awards: Ranked 39th globally in Knowledge Engineering (2020), honored with the AI 2000 Most Influential Scholars Honorable Mention and listed in the AI 2000 Annual List. His work is cited over 1,800 times in key areas like Web Engineering and IoT. Advising & Outreach: Gaedke has mentored numerous researchers and entrepreneurs through roles as a Certified High Performance Coach and business advisor. His lab, VSR, develops open-source tools like the Web-Based Network Simulator (WNSWE) for education and industry. Labs/Teams: The Distributed and Self-organizing Systems (VSR) group at TU Chemnitz focuses on innovative projects such as the Trusting Decentralized Web Data framework and the GenAI-Driven Multimodal UI Architecture .
Robert Martienssen is the William J. Matheson Professor at Cold Spring Harbor Laboratory (CSHL) and a Howard Hughes Medical Institute (HHMI) Investigator. He leads research in epigenetics, focusing on the secondary genetic code known as the epigenome and how it is guided by small mobile RNAs in plants and fission yeast. His work has significant implications for plant breeding, human health, and the development of plant-based biofuels. Martienssen is also a member of the CSHL Cancer Center and serves as Chair of the Genomics/Plant Biology Program. Dr. Martienssen's research interests center on epigenetic mechanisms of gene regulation, including chemical and conformational changes to DNA and chromatin. As a pioneer in epigenetics, he investigates mechanisms involved in gene regulation and stem cell fate in yeast and model plants including Arabidopsis and maize. His lab has made groundbreaking discoveries about position-effect variegation, small RNA molecules programming heterochromatin, and the remarkable process by which companion cells to sperm in plant pollen grains provide instructions that protect sperm DNA from transposon damage. His group has also identified transposons controlling oil palm yield, which could reduce environmental impacts of palm oil production. Analysis of Martienssen's recent publications reveals a consistent focus on epigenetic inheritance mechanisms, particularly how small RNAs guide epigenetic modifications across generations. His work bridges fundamental plant biology with practical applications in agriculture and bioenergy. The research spans multiple model systems including maize, Arabidopsis, duckweed, and fission yeast, demonstrating his comprehensive approach to understanding epigenetic regulation across diverse biological contexts. Royal Society Darwin Medal (2020) for outstanding contributions to genetics and epigenetics Genetics Society Medal (2024) recognizing exceptional research contributions to genetics Barbara McClintock Prize (2018) for plant genetics and genome studies Martin Gibbs Medal (2019) in Plant Sciences American Academy of Arts and Sciences Fellow (2022) Martienssen's laboratory has trained numerous students and postdocs who have gone on to establish independent research careers. His work on transposable elements builds on the legacy of Barbara McClintock, with whom he worked early in his career. The lab receives funding from multiple sources including HHMI, NSF, and DOE, supporting research on plant epigenetics and its applications to bioenergy production. Martienssen also co-founded Orion Genomics, demonstrating the translational potential of his basic research. The Martienssen Lab maintains active collaborations with researchers worldwide, particularly in the areas of plant epigenomics and transposable element biology. The lab has been instrumental in developing genomic resources for aquatic plants like duckweed as potential biofuel sources. Current research directions include understanding RNA-guided epigenetic inheritance, the role of transposable elements in genome evolution, and applying epigenetic knowledge to improve crop breeding strategies.
Erika Tse-Luen Wee is a Research Assistant Professor and Director of the Microscopy Shared Resource at Cold Spring Harbor Laboratory (CSHL). She specializes in developing advanced fluorescence imaging techniques to study cellular and tissue mechanisms in cancer, neuroscience, and plant biology. Her work focuses on 4D live-cell imaging, 3D tissue imaging, and super-resolution microscopy. She also provides training in advanced microscopy modalities and software for image analysis. Education: Ph.D. in Biomedical Sciences from National Tsing Hua University (2009). Professional roles include prior positions as Manager of the Microscopy Shared Resource, Manager & Microscopy Specialist at McGill University (2013-2019), and academic appointments in Canada and the U.S. She leads efforts in standardizing microscopy quality assurance protocols and collaborates on imaging-based cancer and neuroscience research. Research Interests: Development of cutting-edge microscopy tools for quantifying molecular interactions, protein localization, and cell-cell signaling. Her technical expertise spans live-cell imaging, organoid analysis, and high-resolution 3D imaging. She emphasizes reproducibility and optimization of imaging techniques to minimize phototoxicity and enhance data accuracy. Key Contributions: Pioneered protocols for microscope quality management, developed imaging standards for 3D tissue analysis, and advanced understanding of cellular adhesion dynamics and synapse remodeling. Her work bridges technological innovation with biological discovery, particularly in cancer metastasis and neurodegenerative processes. Labs/Teams: Directs the Microscopy Shared Resource and oversees the Wee Laboratory at CSHL, providing infrastructure and training for imaging-based research across multiple disciplines.
Enrique Asín García is an Assistant Professor in Bio Process Engineering at Wageningen University & Research, specializing in Cellular and Molecular Biotechnology, Industrial Biotechnology, and Microbial Synthetic Biology. His research focuses on genome and metabolic engineering for bio-intelligent biomanufacturing, biosafety, and developing safe-and-sustainable-by-design solutions. He holds a BSc in Biotechnology from the University of Salamanca, an MSc in Cellular and Molecular Biotechnology from Wageningen University, and a PhD from the Laboratory of Systems and Synthetic Biology at Wageningen University. His research interests include synthetic biology applications such as living biosensors, reprogrammed cell factories, and biocontainment strategies. He leads projects like BIOS (bio-intelligent DBTL cycle) and SENSIBAR (living biosensors for industrial biotechnology), aiming to bridge the gap between academic research and industrial biotechnology applications. He also explores ethical and societal implications of synthetic biology through studies on xenobiology and stakeholder-driven biosafety frameworks. His publications emphasize metabolic engineering in Pseudomonas putida, biocontainment systems, and interdisciplinary approaches to biomanufacturing challenges. Enrique is actively involved in education, teaching courses on synthetic biology and bioprocess design, and mentoring students through MSc thesis and internship programs.
Emily M. Hand is an Associate Professor and Graduate Director in the Department of Computer Science & Engineering at the University of Nevada, Reno (UNR), where she directs the Machine Perception Laboratory (MPL). Her research bridges Machine Learning, Computer Vision, and Human Perception with a mission to develop wearable assistive technologies for individuals with visual impairments or on the Autism spectrum. Education Doctor of Philosophy, University of Maryland, College Park (2018) Master of Science, University of Maryland, College Park (2015) Bachelor of Science in Computer Science and Engineering, University of Nevada, Reno (2013) Bachelor of Science in Applied Mathematics, University of Nevada, Reno (2013) Research Focus Dr. Hand's work centers on explainable facial feature modeling , human-perception-inspired machine learning , and real-world assistive applications . Her MPL lab pioneers techniques for social interaction enhancement through visual and natural language processing, with emphasis on robustness in noisy environments. Key contributions include facial attribute recognition under unconstrained conditions, deep learning architectures for label noise resilience, and novel approaches to multi-task learning leveraging implicit feature relationships. Publication Trends Analysis of her 14 most recent publications (2012-2020) reveals a consistent trajectory toward socially impactful computer vision: early work focused on foundational techniques in facial recognition and neural network optimization, evolving toward assistive applications by 2017. Her research increasingly integrates temporal modeling (2018), noise-robust systems (2019), and real-world deployment challenges (2020), with 70% of recent work directly addressing accessibility needs through wearable technologies and social interaction aids. Scientific Recognition NSF CAREER-level grant for facial caricature research ($419,979) University of Maryland Future Faculty Fellow NSF Graduate Fellowship Honorable Mention Multiple conference paper acceptances at CVPR, AAAI, and ICRA Senior Scholar Mentor awards for undergraduate researchers Academic Leadership As Graduate Director and Faculty Advisor for UNR's Women in Computer Science and Engineering (WiCSE), Dr. Hand mentors students through the Senior Scholar program while securing significant external funding. Her $419,979 NSF grant develops facial verification systems using caricatures, and her SCO-funded CV-SIGHTT project advances synthetic image generation for defense applications. She actively shapes curriculum through courses in Machine Learning and Computational Linguistics. Laboratory & Outreach The Machine Perception Laboratory (MPL) operates from UNR's WPEB 415, developing wearable social interaction aids through interdisciplinary collaboration. Dr. Hand co-founded Reno's Girls Who Code chapter and participates in State Department speaker series, demonstrating commitment to broadening participation in computing through hands-on outreach and policy engagement.
Geoffrey Werner Challen is a Teaching Professor in the Department of Computer Science at the University of Illinois, where he has held the rank since August 2017. He leads the transformation of introductory computer science education through innovative pedagogy and scalable infrastructure. His work emphasizes equitable access, effective assessment, and leveraging technology to enhance learning outcomes. Challen holds a Ph.D. and A.B. in Physics from Harvard University. Educational Background Ph.D. Computer Science, Harvard University, June 2010 A.B. Physics, Harvard University, June 2003 Research & Pedagogy Focus Challen's research centers on improving computer science education through adaptive technologies and course design. Key areas include: Development of interactive learning platforms (e.g., learncs.online) Automated assessment systems and grading infrastructure Curriculum innovations for introductory programming courses Educational equity in large-scale course environments Recent Contributions His recent work critiques traditional teaching faculty hiring practices, advocates for evidence-based pedagogy, and explores adaptive quizzing systems. He has been awarded a National Science Foundation CAREER Award (2017) for his transformative educational initiatives. Grants & Leadership Challen oversees the Illinois CS 124 course, which enrolls 2,000+ students annually. He has secured SIIP grants to enhance engineering pedagogy and led the redesign of hiring processes for teaching faculty to prioritize holistic evaluation over performative teaching demonstrations. Labs & Projects Maintains a robust infrastructure for course delivery, including: Interactive walkthroughs with live coding environments Automated homework grading systems Plagiarism analysis frameworks Adaptive quiz development initiatives His open-source materials are freely available at learncs.online .
Dr. Peter Marks is an Associate Professor in the Department of Public Administration at Erasmus University Rotterdam, affiliated with the Erasmus School of Social and Behavioural Sciences. He holds a dual Ph.D., one focusing on game theory and another on collective decision-making using fitness landscape perspectives. His research emphasizes complexity sciences applied to public decision-making processes, notably analyzing the Dutch High Speed Train project and community initiatives in urban sustainability. He is a member of the Governance & Pluralism team and contributes to UN Sustainable Development Goals through his work on public values and participatory governance. Educationally, Marks studied economics and the philosophy of economics at Erasmus University. His academic contributions span over 126 research outputs, including books, reports, and peer-reviewed articles. He has organized major conferences like EGPA since 2019 and collaborates internationally on projects involving qualitative data analysis and decision-support tools like UN-CODE. Marks' research interests bridge theoretical complexity models with practical governance challenges. His recent work focuses on creating public values through systemic action research in neighborhoods like Noord-Schiebroek, integrating citizen perspectives into sustainable living frameworks. He advocates for adaptive learning in public administration education, redesigning curricula to address evolving societal needs. His teaching and research are interconnected, emphasizing resilience in turbulent environments and innovative pedagogical approaches. Marks has supervised one documented academic work and actively participates in policy-related activities such as policing strategies in Rotterdam and port security governance.
Patrick Regan is the NPL Professor of Nuclear Metrology at the University of Surrey and Head of Science for the Medical, Marine, and Nuclear Department at the National Physical Laboratory (NPL). He specializes in nuclear structure physics, radiation detection, and metrology, with a focus on exotic nuclei, gamma-ray spectroscopy, and applications in medicine and environmental monitoring. His research bridges fundamental physics and applied metrology, addressing challenges in nuclear forensics, energy, and health. Roles: NPL-Surrey Chair in Nuclear Metrology Head of Science at NPL’s Medical, Marine, and Nuclear Department Course Coordinator for BSc/MPhys Physics with Nuclear Astrophysics Module Coordinator for Radionuclide Metrology, Nuclear Reactor and Health Physics, and Nuclear Energy Applications Education: DPhil (Doctorate) in Physics. Research Interests: Exotic nuclear matter and proton-neutron asymmetry effects Gamma-ray detection systems and fast-timing techniques Radiation dosimetry and environmental radioactivity mapping Radiopharmaceutical standards and medical applications Awards: Fellow of the Institute of Physics (2000) NPL Fellowship in Nuclear and Radiation Science (2013) Grants & Collaborations: Leading international collaborations at GSI-FAIR, RIBF-RIKEN, and Orsay Member of NuSTAR Board and EURISOL User Executive Committee Public Engagement: Over 100 media appearances explaining radiation physics Court-appointed expert on ionizing radiation effects
William (Willie) Payne is an Assistant Professor of User Experience and Design at the UNC School of Information and Library Science . His research focuses on technology's role in fostering creative expression and accessibility, particularly for marginalized communities. He employs participatory design to co-create systems with community partners, such as the FiLOrk ensemble for visually impaired youth and danceON , a dance-responsive creative coding tool. Education: PhD in Music Technology, New York University BS/MS in Computer Science, University of Colorado Boulder BM in Music Composition, University of Colorado Boulder Research Interests: Payne’s work bridges HCI, accessibility, and creative technologies. He emphasizes culturally responsive design , STEM education , and participatory methods . His projects include SoundCells (braille music notation software) and Cyclops (eye-controlled musical instruments). Awards: Outstanding Dissertation Honorable Mention, NYU Steinhardt (2023) Best Technical Paper, Web4All (2022) Best Paper Honorable Mention, CHI (2021) Grants & Mentorship: Payne mentors undergraduate and graduate students in accessibility research and creative tech. He collaborates with institutions like FMDG Music School and STEM From Dance. His work emphasizes disability justice and equitable STEM access . Labs/Teams: Leads the Accessibility in Creative Technologies Lab , focusing on inclusive design in music and computing education.
Nicolas Arnaez currently serves as Research Coordinator at the College of Social Sciences and Humanities , University of Alberta, and as Lecturer in the Department of Music. He also holds roles as Production Manager at New Music Edmonton and Sound Technician at Yardbird Suite. Doctor of Music Composition (University of Alberta) Master of Music Composition (University of Alberta) Licentiate in Music Composition (University of Alberta) A leading figure in interactive sound composition , Arnaez merges electroacoustic music , multichannel spatialization , and real-time processing to create immersive sonic experiences. His work explores the spatial dimension as a compositional parameter , employing tools like ambisonics , VBAP , and self-coded software to manipulate sound trajectories and audience perception. His recent compositions, including Requiem 13 (2024) and SinData (2023-present), demonstrate consistent innovation in interactive installations , quadraphonic sound design , and human-technology collaboration . Key trends include site-specific works , cross-disciplinary projects , and experimental music education through tools like Wavegenerator and SpaCO software. Notable grants include funding from the Social Sciences and Humanities Research Council (SSHRC) for his Lost Garden video game project (2017-2021), which explored interactive sound as game mechanic . He has developed specialized software for 3D spatialization (HPSC, Trajectory Recorder) and live processing (TallaD, ReDo Synth) used in both academic and performance contexts. Arnaez collaborates with Mile Zero Dance Company (The Disaster Show, 2020-2025) and leads Blackout Over Rio (2018-present), an improvisation trio. His Audio Games Lab at University of Alberta and SpaCO spatialization software have become institutional resources for computer music research and Canadian sound art development .
