Roman Schnabel is a Professor of Experimental Physics at the University of Hamburg , affiliated with the Institute for Laser Physics under the Faculty of Mathematics, Informatics and Natural Sciences. He leads cutting-edge research in quantum optics, gravitational wave detection, and quantum technologies. Education : PhD in Physics (1999, Leibniz Universität Hannover); Physics degree (1988–1994, Leibniz Universität Hannover) Awards : QCMC 2018 Award, Gruber Cosmology Prize 2016 (LIGO team), Special Breakthrough Prize in Fundamental Physics 2016 (LIGO team), Joseph F. Keithley Award 2012 His recent work explores high-frequency gravitational wave observatories , entanglement generation , and quantum-enhanced sensing . He holds patents for gas sensors and optical surface imaging technologies. Schnabel co-founded the start-up Noisy Labs in 2023 and served as Director of Outreach & Transfer for the Cluster of Excellence 'Quantum Universe' (2019–2022).
Andrew Mondschein is Associate Professor of Urban and Environmental Planning at University of Virginia School of Architecture, serving as Associate Dean of Research. His work focuses on equitable transportation systems, sustainable accessibility, and impacts of emerging technologies on urban mobility. Education includes: PhD, University of California, Los Angeles MA Urban Planning, University of California, Los Angeles BA Architecture, Yale University Research examines how transportation technologies affect social equity and urban form, with emphasis on pedestrian wellbeing, autonomous vehicle adoption, parking policy, and community-centered planning. Recent publications demonstrate strong focus on psychophysiological impacts of urban walking, cross-cultural mobility studies, and spatial analysis of transportation preferences. Articles show consistent themes: urban walkability (especially health impacts), autonomous vehicle integration, parking policy analysis using novel data sources, and community-centered planning approaches. Methodologically, employs mixed methods including biometric sensing, sentiment analysis of social media, geospatial modeling, and participatory design. No specific awards mentioned. Teaching covers transportation policy, land use, environmental impacts, and research methods with emphasis on ethical planning practices.
Ellis Owusu-Dabo, MB ChB, PhD, is a Professor and the Vice-Chancellor at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He is also an International Scholar affiliated with the Center for Global Health at the University of Pennsylvania. His work bridges academic leadership, research, and global health collaboration, with a strong focus on public health challenges in Africa. His research interests are centered on population genomics of type II diabetes and tuberculosis , particularly in low-resource settings. He has led and contributed to major multinational studies on infectious diseases such as typhoid and non-typhoidal Salmonella, as well as chronic conditions like hypertension and cardiovascular disease. His research integrates epidemiological, genetic, and immunological approaches to understand disease burden and improve health outcomes in African populations. His recent publications reflect a strong trend in infectious disease surveillance, non-communicable disease epidemiology, and digital health interventions . He has published in high-impact journals including The Lancet Infectious Diseases , PLoS One , and International Journal of Cardiology , often as part of large collaborative consortia such as the RODAM study and the Vacc-iNTS consortium. Scientific Contributions and Projects: Lead facilitator of the D43 grant between the University of Pennsylvania and KNUST Planned hosting of University of Pennsylvania students for global health training Involved in multinational typhoid surveillance across seven African countries Conducted national studies on multi-drug resistance in Ghana with support from the Global Fund and WHO As an academic leader and mentor, Prof. Owusu-Dabo is passionate about building research capacity in Africa and training the next generation of scientists to address local and global health challenges. He has secured research funding and led collaborative projects that integrate public health, genomics, and policy. Laboratories and Teams: While specific lab names are not mentioned, his work is associated with collaborative research teams including the Vacc-iNTS consortium and the RODAM study, which involve institutions across Europe, North America, and Africa. His leadership at KNUST positions him at the center of a growing network of global health researchers in Ghana.
Anil Madhavapeddy serves as Professor of Planetary Computing at the University of Cambridge's Department of Computer Science and Technology and directs the Cambridge Centre for Carbon Credits (4C). A Fellow of Pembroke College, he integrates systems research with environmental conservation through the Computer Laboratory's Environment and Energy Group. His career spans industry leadership (NetApp, Citrix, Intel), academic appointments (Cambridge, Imperial, UCLA), and entrepreneurial ventures (XenSource, Unikernel Systems, Docker). Madhavapeddy earned his PhD at Cambridge's Computer Laboratory in 2006. His research bridges computational systems and planetary-scale environmental challenges, with deep expertise in open-source development (OCaml, Xen, Docker, OpenBSD) and technology strategy advising for organizations including Zededa, Tezos Foundation, and Tarides. His work centers on environmental computing and climate informatics, leveraging distributed systems and functional programming to develop sensing infrastructure for conservation. Recent projects focus on carbon credit systems, AI-driven biodiversity monitoring, and sustainable computing architectures that minimize ecological footprints while maximizing analytical capability. Analysis of his 2025 publications reveals a concentrated effort on AI-integrated conservation tools, privacy-preserving carbon accounting, and energy-efficient computing. Key themes include spatial networking for ecological data, LLM-enhanced evidence retrieval in conservation science, and novel metrics for extinction risk assessment—demonstrating computational innovation applied to urgent planetary boundaries. No scientific awards were documented in the source material. Madhavapeddy advises multiple technology firms on strategic development while leading the Cambridge Centre for Carbon Credits, though specific grant funding details remain unreported. He actively contributes to the Environment and Energy Group at Cambridge's Computer Laboratory and directs the interdisciplinary Cambridge Centre for Carbon Credits (4C). His open-source leadership spans critical infrastructure projects including OCaml, Xen, and Docker, fostering collaborative development communities that underpin modern cloud and container technologies.
Zohreh Pourzolfaghar is an Assistant Professor in Management Information Systems (MIS) at the School of Business, Maynooth University (MU). She serves as Director of the IT-Enable Innovation Programme and cluster lead for the Digital Construction cluster at the Innovation Value Institute (IVI). She is also a member of Lero, the SFI Research Centre for Software. Education: PhD in Project Management (University Putra Malaysia, 2011); MSc in Management Systems and Productivity; BSc in Software Engineering. Research Interests : Focuses on digital transformation for SMEs, information management in construction, and smart city architectures. Leads EU-funded projects like EnTrust (agri-data governance), DIGI+ (sustainable digital transformation), and DigiFABs (food & beverage SMEs). Co-PI for projects such as GDI-IE (genomic data infrastructure) and PERFORM (digital retail innovation). Grants & Awards : Secured funding from SFI, Enterprise Ireland, and EU. Notable awards include the BIM Hero Award (2022) and Research Engaged Award (2022). Teaching : Courses include Digital Business, Digital Technology Governance, and Enterprise Architecture. Advises PhD students in MIS and digital transformation. Industry Collaboration : Works with firms like ArcDox and Corballis Technologies on BIM standards and data governance. Active in national and EU policy networks, including NSAI committees.
Ke Wang is a Professor in the School of Computing Science at Simon Fraser University . His research focuses on Data Mining , Database Systems , Data Privacy , and Graph and Network Data . He holds a Ph.D. and M.Sc. from the Georgia Institute of Technology (1986 and 1984, respectively). Teaching includes courses like Database Systems II , Introduction to Data Mining , and Special Topics in Databases . He has advised numerous students and alumni, many of whom now work in tech, academia, and industry. Notable awards include the 2013 Faculty of Applied Sciences Research Excellence Award and the ECIR 2019 Best System Paper . His work emphasizes privacy-preserving techniques and has led to contributions like the Introduction to Privacy-Preserving Data Publishing textbook. He has served as a conference chair for major data mining events like SDM 2015/2016 and holds editorial roles in journals like ACM TKDD. His lab, the Database and Data Mining Laboratory , focuses on actionable solutions for real-world data challenges.
Mari Moora is a distinguished Professor in Community Ecology at the University of Tartu's Faculty of Science and Technology, Institute of Ecology and Earth Sciences. Since August 2023, she has served as the Vice Rector for Research at the University of Tartu, a position she will hold until July 2028. With a career spanning over three decades at the University of Tartu, Professor Moora has established herself as a leading expert in plant ecology, particularly in the field of mycorrhizal symbiosis and its role in shaping plant communities. Education: Secondary education at Nõo Secondary School (1984) Bachelor's degree in Biology (Genetics) from University of Tartu (1989) PhD in Plant Ecology from University of Tartu (1998) with thesis supervised by Martin Zobel Professor Moora's research focuses on the processes behind the structure and diversity of plant communities, particularly examining the role of biotic interactions such as mycorrhizal symbiosis and pollination in shaping plant populations. Her work extends to studying global diversity patterns of arbuscular mycorrhizal fungi and soil metagenomics - investigating how soil molecular diversity influences visible ecological patterns across ecosystems. Her interdisciplinary approach combines field ecology, molecular techniques, and theoretical frameworks to address fundamental questions in community ecology and biodiversity science. Her recent publications demonstrate a clear trend toward understanding ecological processes at multiple scales, from molecular interactions to global biodiversity patterns. Professor Moora's work increasingly integrates cutting-edge molecular techniques like metabarcoding with traditional ecological approaches, creating a more comprehensive understanding of plant-microbial interactions. Her research has significant implications for biodiversity conservation, ecosystem restoration, and understanding how ecological communities respond to environmental change. Scientific Awards: Order of the White Star, 4th class (2025) Estonian Academy of Sciences Alma Tomingas Medal (2023) Science Award of the Estonian Republic (2016) Honorary member of the University of Rio Cuarto (Argentina) (1998) Professor Moora has served as a principal investigator for significant research projects including "Plant-microbial mutualisms in dynamic ecosystems" (2021-2025) and the University of Tartu component of "Agroecology and new crops in future climates" (2024-2030). She has been actively involved in research administration and evaluation, serving on panels for the European Research Council, German Research Foundation, and European Commission. Her editorial work includes being an Academic Editor for PLoS ONE (2011-2016) and serving as a referee for numerous high-impact ecology journals. As Head of the Chair of Plant Ecology (2021-2023) and currently as Vice Rector for Research, Professor Moora plays a significant role in shaping research strategy and academic leadership at the University of Tartu. Her work bridges fundamental ecological research with practical applications for biodiversity conservation and sustainable land management.
Dominique Chen is a Professor at Waseda University's School of Culture, Media and Society since 2022, previously serving as Associate Professor from 2017-2022. A French national born in 1981, he holds a Ph.D. in Interdisciplinary Informatics from the University of Tokyo (2013). His work bridges technology, art, and human experience with a focus on digital well-being and more-than-human relationships. Chen's research interests include human-microbe interaction, neo-cybernetics, and the design of systems that foster mutual care between humans and non-human entities. His work with the Nukabot project exemplifies this interdisciplinary approach, exploring how fermentation processes can serve as metaphors for communication and relationship building. He leads the Ferment Media Research group, investigating how fermentation principles apply to digital cultures and communication systems. His recent publications reveal a consistent focus on designing for well-being in digital societies, with particular attention to translation processes, human-microbe relationships, and the creation of systems that support co-adaptive interaction. The Nukabot research series demonstrates how traditional fermentation practices can inform novel interaction paradigms that acknowledge and incorporate more-than-human perspectives. Best Paper Honorable Mention (2024) - ACM Synlogue with Aizuchi-bot ACM SIGGRAPH Special Prize (2023) - Nukabot Best of AppStore 2015/2016 - Picsee/Syncle applications Good Design Award (2008) - Creative Commons Japan Super Creator certification (2009) - IPA Exploratory IT Program Chen has advised numerous projects through his leadership of Ferment Media Research and has served on various committees including the Good Design Award jury (2016-), Yomiuri Shimbun Reading Committee, and advisory boards for art and design institutions. His work extends beyond academia through his founding of Divideal Inc. (acquired by Smart News in 2018) and Creative Commons Japan (now Commonsphere). His laboratory, Ferment Media Research, explores interdisciplinary connections between fermentation processes, digital systems, and human relationships, creating installations like Nukabot that facilitate human-microbe interaction and Last Words/TypeTrace that examines writing processes and communication.
Tuuli Toivonen is a Professor of Geoinformatics at the Department of Geosciences and Geography, University of Helsinki. She leads the transdisciplinary Digital Geography Lab , which addresses human-scale spatial analytics for sustainable societies. She serves as Vice-Director of Geography Degree Programs (post-2022) and previously held the Director role (2020-2022). After receiving the ERC Consolidator Grant in 2022, she continues advancing open science through active memberships in HELSUS and URBARIA . PhD in Geography (University of Turku, 2006) Specialist Vocational Qualification in Leadership (2023) Life Member, Clare Hall, University of Cambridge (since 2021) Her research focuses on Human-Place Interactions through accessibility/mobility lenses, combining Open Data , Machine Learning , and Spatial Analytics . Key application areas include Urban Geography , Conservation Science , and Governance Policy . Recent publications address Dynamic Cities (2018), Social Media for Conservation (2019), and Environmental Exposure During Travel (2021). Her lab produces datasets like the Helsinki Region Travel Time Matrix series (2014-2023). Scientific Awards: European Open Data Champion (2017) Open Science Price (2017) University of Helsinki Geography Award (2018) She supervises Master's thesis work and serves as Opponent for doctoral defenses across Europe. Her teaching portfolio includes Advanced Geoinformatics and Digital Geographies courses.
Dr. Kaitlyn Zhou is an incoming Assistant Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science, commencing August 2026. Her research focuses on human-language model interaction dynamics, with recognition at premier NLP and HCI conferences. Education: PhD in Computer Science, Stanford University (Advised by Dan Jurafsky) B.Sc., B.Se., M.S. in Computer Science and Human Centered Design and Engineering, University of Washington Research Focus: Her work investigates how language models shape human decision-making through three pillars: (1) identifying model overconfidence risks, (2) developing context-aware evaluation frameworks, and (3) reimagining interactions for marginalized user groups. This spans NLP, HCI, and AI ethics with emphasis on trust calibration and inclusive design. Publication Trends: Recent work examines human reliance on unreliable language models (NAACL 2025 Best Paper Runner-Up), uncertainty expression failures (ACL 2024), and evaluation metric limitations. Collectively, these advance responsible AI through human-centered methodologies across 12 major publications from 2017-2025. Scientific Awards: NAACL Best Paper Runner-Up (2025) MIT EECS Rising Star (2024) Stanford Graduate Fellowship College of Engineering Dean's Medal School of Engineering Dean's Medal of Excellence (UW) Advising & Grants: Supported by Stanford Graduate Fellowship and research internships at Microsoft Research FATE (hosted by Olteanu/Blodgett) and Allen Institute for AI (hosted by Sap/Hwang/Ren). Will recruit NLP/HCI students at Cornell starting 2026. Appointed by Washington Governor to UW Board of Regents, advocating for educational equity. Research Ecosystem: Collaborates with Stanford's NLP group, Microsoft's FATE team, and Allen Institute researchers. Features in NYT/WSJ for methods impacting real-world AI deployment.
N. Rich Nguyen is an Assistant Professor in the Department of Computer Science at the University of Virginia (UVA), where he joined in August 2018. He's part of the School of Engineering and Applied Science and is on a teaching track , focusing on making machine learning accessible and engaging for all students. Research and Innovation: Rich Nguyen's research interests include biomedical image analysis , machine learning , and computer science education . He aims to reinvent instructional activities to make them adaptive and engaging by incorporating art and music elements to help everyone learn coding. Notable research contributions include: Floodwatch : A system for flood monitoring using crowdsourced images TuneScope : A digital music creation tool combining SoundScope and Snaps! technology CAD Library : Open-source design tools for educators AI for early sepsis detection : Highlighted in UVA Today Teaching Accomplishments: Before UVA, Rich taught computer science courses at UNC Charlotte for four years to a total of 1,458 students. At UVA, he teaches several courses including: CS 4774: Machine Learning (multiple semesters) CS 2501: Machine Learning for All (launched in Fall 2021) SYS 6016 / SDS 6050: Deep Learning CS 2150: Data and Program Representation (multiple semesters) CS 6316: Machine Learning (Graduate Level) CS 2910: CS Education Practicum (for Teaching Assistants) He previously taught at UNC Charlotte: ITCS 1600: Computing Professionals ITCS 2600: Computing Professionals for Transfer Students ITCS 4156: Introduction to Machine Learning ITCS 2215: Design and Analysis of Algorithms Academic Achievements: Rich Nguyen has received several notable awards and grants: Google Faculty Award for Machine Learning Education with TensorFlow (2019) Best Paper Award at IEEE BigDataSE (2022) Best Poster Award at SITE Conference (2022) CCI Faculty Innovation Award (2018) NSF grants for Smart and Connected Communities (2022) and Computational Thinking (2021) 3 Cavaliers Grant on Coding and Music (2021) Student Mentorship: Rich has mentored numerous students and teaching assistants who have achieved recognition. Notable students include: Joy Qiu - Published in Clinical Infectious Diseases Louisa Edwards and Zach Boner - Invited to Ken Ono Podcast Mike Ferguson - Winner of CS Louis T. Rader Undergraduate Teaching Award He has also served as faculty advisor for HooHacks (UVA's hackathon) and co-founded CharlotteHack at UNC Charlotte. Labs and Collaborations: Rich Nguyen leads the ML4VA (Machine Learning for Virginia) initiative, engaging students in project-based learning to apply machine learning to real-world problems affecting Virginia communities. He collaborates with institutions for symposiums on smart cities, particularly with ASEAN universities, and has partnered with Premier Healthcare for hackathons and with Glen Bull on educational technology projects.
John (Xuefeng) Jiang is an Eli Broad Endowed Professor in Accounting at Michigan State University's Broad College of Business, holding appointments in the Department of Accounting and Information Systems, with courtesy positions as Professor of Finance and Faculty Affiliate of the law school. He serves as President-Elect of the Financial Accounting and Reporting Section (FARS) of the American Accounting Association and is an associate editor at Management Science. Dr. Jiang received his education from Renmin University of China and the University of Georgia, and has passed the Uniform CPA exams in both China and the United States. His research spans interdisciplinary areas at the interface of accounting and finance, with particular focus on corporate governance, healthcare management, information technology systems, regulation & public policy, and corporate finance. His methodological approach employs natural experiments and novel data sources to address fundamental questions in financial reporting and disclosure. Dr. Jiang's scholarly work has evolved from traditional accounting topics like earnings management and credit ratings to contemporary issues in healthcare management and cybersecurity. His recent publications examine hospital pricing transparency, data breaches in healthcare systems, and the impact of media oversight on hospital behavior, demonstrating his ability to apply accounting principles to emerging real-world challenges. His research has been widely covered by major media outlets including the Wall Street Journal, New York Times, NPR, Forbes, and CBS News. American Accounting Association Distinguished Contribution to Accounting Literature Award (2017) Multiple Outstanding Teacher of the Year awards from graduating students Dr. Jiang has successfully mentored doctoral students who have secured tenure-track positions at the University of Florida, the National University of Singapore, and Miami University. He has served on the FARS steering board from 2018 to 2022 and is actively involved in the academic community as a past President of MSU's Chinese Faculty Club and faculty advisor for the Broad China Business Society.
Mazdak Nik-Bakht is an Associate Professor at Concordia University's School of Building, Civil, and Environmental Engineering. His work bridges construction engineering with digital innovation, focusing on smart infrastructure and sustainable development. PhD, Construction Engineering & Mgmt., University of Toronto PhD, Structural Engineering, Iran University of Science & Technology MASc & BASc, Structural and Civil Engineering, Iran University of Science & Technology His research integrates Artificial Intelligence and Social Network Analysis into construction management systems. Key areas include: Smart infrastructure and urban computing Deconstruction and circular economy principles Building Information Modeling (BIM) and digital twinning Process mining in Architecture, Engineering, and Construction (AEC) industry Decision models in construction project management Semantic computing and computational linguistics applications Recent publications show a focus on BIM analytics , urban resilience , and social media's role in infrastructure planning . Papers often combine AI and network theory to solve complex construction challenges. 2015 Outstanding paper award - Built Environment Project and Asset Management journal He teaches courses on: Big Data Analytics for Smart City Infrastructure Building Information Modeling (BIM) for Construction Building Economics Project Cost Estimating
Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.
Masood Masoodian is an Associate Professor in the Department of Art and Media at Aalto University, Finland. He leads the Visual Communication Design research group, focusing on interactive visualization for health, energy, and sustainability contexts. Previously, he held roles at the University of Waikato (2000-2016), University of Southern Denmark, and Massey University. Education: Doctoral degree in Other disciplines from the University of Waikato (1999) Research interests include design thinking, visualization of complex data, and creative aging interventions. Notable projects include the EU-funded INT-ACT initiative (2024-2026) addressing intangible cultural heritage. He has received an award for collaborative work on video game ludonarrative analysis (2019). Recent activities include organizing workshops on map-based interfaces, co-creating cultural heritage methods, and delivering public talks on digital design. Supervised two theses and contributed to 131 peer-reviewed outputs, emphasizing human-centered design and sustainability. Grants: Principal investigator for multiple EU projects totaling over 3 years of active funding. Awards: Prize for 'Comedy in the Ludonarrative of Video Games' (2019). Labs/Teams: Visual Communication Design group, collaborating internationally on projects like INT-ACT's cultural heritage mapping.
