Mitchel Langford is a Professor and Co-Director of the Wales Institute of Socio-Economic Research and Data (WISERD). He holds an academic position within the Faculty of Computing, Engineering and Science, focusing on spatial analysis, geoinformatics, and computational geography. His research spans over 35 years, emphasizing geographical accessibility, dasymetric mapping, and software engineering solutions for spatial problems. Langford earned his first degree in Physical Geography and Geology, followed by a PhD in software development for palynology using FORTRAN. He has extensive teaching experience in software engineering (C#, SQL, Python) and geoinformatics (PostgreSQL/PostGIS, web mapping). His key research contributions include pioneering work in dasymetric areal interpolation and multi-modal accessibility modeling, notably the Enhanced Two-Step Floating Catchment Area (E2SFCA) method. He has published over 119 peer-reviewed articles and consulted for international organizations like CIAT. Notable awards include the 2019 Impact Awards for contributions to spatial accessibility research. Current projects include investigating accessibility to public services (transport, healthcare, childcare) using GIS and multi-modal transport networks. Langford is also involved in policy-oriented research, contributing to Welsh Senedd inquiries on banking and healthcare access. His software engineering skills enable bespoke solutions for spatial analysis, emphasizing modern languages like Python and JavaScript.
Jih-Fei Cheng is Associate Professor and Chair of the Department of Feminist, Gender, and Sexuality Studies at Scripps College, where he teaches and researches at the intersection of science, media, surveillance, and social movements. He holds a PhD in American Studies and Ethnicity with an emphasis in Visual Studies from the University of Southern California, an MA in Asian American Studies from UCLA, and a BA in Communication from UC San Diego. His interdisciplinary scholarship engages feminist, queer, and decolonial theories to analyze the political economies of virology, global health, and racial capitalism. His research centers on the historical and transnational entanglements of science, empire, and social justice. Key areas include the institutionalization of queer politics, the geopolitics of HIV/AIDS, and the racialized foundations of virology. His co-edited volume AIDS and the Distribution of Crises (Duke UP, 2020) rethinks the pandemic as a network of overlapping crises shaped by colonialism and neoliberalism. He is currently working on a book project titled Materialist Virology , which historicizes virology within Euro-American empire. Cheng’s recent publications span journals such as History and Technology , Radical History Review , and GLQ , with 2025 articles on financial contagion and reservoirs signaling his continued engagement with interdisciplinary frameworks linking finance, disease, and history. His work often collaborates with artists and activists, exemplified by writings on Candice Lin’s art and co-organized dialogues on care and intravention during the pandemic. He has been recognized with multiple awards, including the Lavender Graduation Award (2023, 2016), Professional Development Grants (2019–2020, 2016–2017), and fellowships from USC and the American Antiquarian Society. His teaching and service reflect a deep commitment to LGBTQIA inclusion, racial justice, and community-based scholarship. Lavender Graduation Award for providing safe and inclusive spaces for LGBTQIA students, Queer Resource Center, The Claremont Colleges (2023) Professional Development Networks Grant at The Claremont Colleges (2019–2020) Diversity Teaching Award Nominee, The Claremont Colleges (2018) EnviroLab Asia Research and Conference Award (2017–2018) Lavender Graduation Award (2016) Professional Development Networks Grant (2016–2017) Research Fellow, Summer Institute for the Center for Historic American Visual Culture, American Antiquarian Society (2014) Visual Studies Summer Research Award, USC (2014) New Directions Fellow, USC Center for Feminist Research (2011–2012) Tritia Toyota Fellowship (2001–2002) Cheng has advised and collaborated with numerous scholars and activists, though no formal advisees are listed. His work is deeply rooted in community engagement, having previously worked in HIV/AIDS social services and served on the Board of Directors at the HIV League. He was managing editor of American Quarterly (2010–2013) and has taught at UCLA and Hunter College. His research is supported by interdisciplinary networks and collaborative projects, including digital humanities initiatives and art-theory praxis. He is involved in multiple collaborative research and publishing projects, often working with artists like Candice Lin and scholars such as Alexandra Juhasz and Nishant Shahani. His recent special issue on 'Reservoirs' brings together scholars from anthropology, media studies, and philosophy to rethink historical and ecological crises. His lab-like collaborative environments include feminist media praxis collectives and interdisciplinary workshops on crisis, care, and decolonial knowledge.
Runar Hilleren Lie is a Postdoctoral Research Fellow at the Department of Public and International Law, Faculty of Law, University of Oslo. He is actively engaged in interdisciplinary research at the intersection of law, technology, and international relations, contributing to major projects such as COPIID, NoRDASIL, and CLEANUP. His research interests span International Investment Law , Computational Legal Studies , International Economic Law , Energy Law , and Legal Technology . He employs data-driven and computational methodologies to analyze legal texts, arbitrator behavior, treaty development, and institutional dynamics in international dispute settlement. The most recent publications reveal a strong trend toward empirical and computational analysis of international investment law, particularly focusing on influence networks, authorship prediction, compliance politics, and the evolving role of legal actors in arbitration. His work bridges traditional legal scholarship with cutting-edge data science techniques. He teaches JUS5080 – Programming for Lawyers and JUS5671 – Legal Technology: Artificial Intelligence and Law , reflecting his commitment to integrating technological literacy into legal education. Email: r.h.lie@jus.uio.no, rhlie@jus.uio.no Phone: +47 22859431 Visiting Address: Domus Juridica, 7th floor, Kristian Augusts gate 17, 0164 Oslo Postal Address: Postboks 6706 St. Olavs plass, 0130 Oslo He is affiliated with the Law and Technology (JOT) research group and the Research Group on International Law . His current research projects include: COPIID : Compliance Politics and International Investment Disputes NoRDASIL : Advancing Data Science in Migration Law (NORDFORSK) CLEANUP : Machine Learning for the Anonymisation of Unstructured Personal Data (Research Council of Norway, 2020–2023)
Dr. Kerstin Raudonat is a researcher at the Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin. She has been working at the 'Computer Science and Society' chair since September 2022, focusing on the intersection of technology, gender, and society. Her research spans multiple domains including human-computer interaction, media education, and digital game culture, with particular emphasis on creating more inclusive technological environments. Dr. Raudonat's research interests center on gender equity in technology development, examining how societal biases manifest in IT systems and how to break cycles of discrimination in software design. Her work explores the complex relationships between technology and social structures, with special attention to how digital environments can be designed to promote diversity and inclusion. She investigates these issues through multiple lenses including practice theory, cyberfeminism, and participatory design methodologies, seeking practical approaches to make technology development more socially responsible. Her recent publications reveal a consistent trajectory examining gender dynamics in technology, with increasing focus on AI systems and their societal impacts. The research shows evolution from analyzing gaming cultures and communication patterns to addressing systemic biases in contemporary AI technologies. Her work demonstrates strong interdisciplinary connections between computer science, sociology, gender studies, and media education, reflecting a comprehensive approach to understanding technology's role in society. Dr. Raudonat has been actively involved in multiple significant research projects funded by the German Federal Ministry of Education and Research, including: KIRA (2021-2024): Developing AI-based matching for vocational training with gender sensitivity considerations IT&me (2017-2020): Creating multimedia knowledge resources for women in IT fields Gender-UseIT (2013-2014): Establishing a network for interdisciplinary research on gender perspectives in human-computer interaction VIT3A : International virtual teaching and collaboration initiatives Her research has been conducted in collaboration with multiple institutions including Fraunhofer IAO, Hochschule Heilbronn, and Vietnamese-German University, demonstrating strong national and international research partnerships. Dr. Raudonat's work contributes significantly to understanding how technology can be developed in more socially responsible ways that promote equity and inclusion.
Daniel W Armstrong is a Professor at the University of Texas at Arlington in the Department of Chemistry and Biochemistry. With over 35 years of experience, he is a pioneering figure in chiral recognition, enantiomeric separations, and the biological relevance of D-amino acids. His work has led to over 740 publications, 35 patents, and 560 invited seminars worldwide. Developed first chiral recognition mechanism by cyclodextrins First to use macrocyclic antibiotics as chiral selectors Synthesized most new ionic liquids (ILs) globally Created ultra-fast separation techniques now standard in analytical chemistry Contributed to FDA 1992 guidelines on chiral drug separation His research focuses on chiral separations, ionic liquids, and the role of D-amino acids in biological systems. He has commercialized over 30 HPLC and GC columns, transforming analytical chemistry and pharmaceutical analysis. Recent publications demonstrate continued innovation in chiral chromatography, biomarker analysis, and AI-driven separation optimization. His grants include industry collaborations with Merck, Alcon, and Sigma-Aldrich, emphasizing practical applications of his work. Scientific honors include multiple lifetime achievement awards, fellowships in the Royal Society of Chemistry and American Chemical Society, the Chirality Medal, and induction into the National Academy of Inventors. He has mentored over 100 PhD students, many from first-generation college backgrounds.
Daniel Dörler is a Senior Scientist at the Institute of Zoology, University of Natural Resources and Life Sciences, Vienna (BOKU), where he has been employed since 2019. His academic background includes a doctorate in Natural Resources and Life Sciences from BOKU and studies in Biology/Zoology from the University of Vienna. He is a leading figure in the Austrian and European citizen science movement, with a focus on biodiversity, road ecology, and public engagement in science. Institution: University of Natural Resources and Life Sciences, Vienna (BOKU) Department: Institute of Zoology Position: Senior Scientist (wissenschaftlicher Mitarbeiter) Email: daniel.doerler@boku.ac.at ORCID: 0000-0003-2056-4084 Daniel Dörler’s research interests center on citizen science, biodiversity monitoring, and ecological research, particularly in urban and road environments. He investigates the role of public participation in data collection for scientific research and conservation, with a focus on roadkill and amphibian populations. His work bridges ecology, social science, and science communication, emphasizing the transformative potential of citizen science for both science and society. He is deeply involved in methodological development, quality criteria, and the scalability of citizen science projects. His recent publications demonstrate a strong trend towards the integration of technology, policy, and community engagement in citizen science. Works such as automated species detection for anurans, roadkill hotspot analysis, and the development of scalability toolkits highlight a move towards data-driven, policy-relevant, and ethically sound citizen science. The articles consistently focus on practical applications, project design, and the societal impact of participatory research, spanning sub-fields like conservation biology, bioacoustics, and science policy. Daniel Dörler has received numerous scientific awards, reflecting his excellence in research, teaching, and public outreach: 2023: Ars Docendi Award for excellent teaching, Honorary Mention for the Roadkill project (EU Citizen Science Prize), and multiple awards for co-supervised Master’s theses. 2022: Sustainability Award from Austrian Federal Ministries. 2017: BOKU Sustainability Prize and recognition as a Pioneer of Open Innovation in Science. 2018: Nomination for the National Animal Welfare Prize. Dörler is a principal investigator and project leader on numerous research grants from the European Commission, Austrian Science Fund (FWF), and national agencies. He is a key figure in the Citizen Science Network Austria and the platform "Österreich forscht." He frequently presents at international conferences, contributes to policy discussions, and mentors students. His collaborative work with Florian Heigl and others has established a robust network for citizen science in Austria and beyond. Daniel Dörler is a core member of the Citizen Science Network Austria and leads multiple projects such as "Leading Lights," "STEM education," and "Explore Research from East to West in Austria." He is also deeply involved in the "Roadkill" project and the "AmphiBiom" initiative for amphibian conservation. His work fosters a collaborative environment that brings together researchers, citizens, and policymakers to address pressing environmental challenges.
Dr Hannah Gullo is a Senior Research Fellow at the School of Health and Rehabilitation Sciences , The University of Queensland . With a focus on neurorehabilitation, her work spans traumatic brain injury, stroke, Parkinson's disease, multiple sclerosis, and neurodevelopmental conditions. Masters (Coursework) of Occupational Therapy Studies, The University of Queensland Bachelor of Science, The University of Queensland Doctor of Philosophy, The University of Queensland Her research interests include: Cognitive assessment and intervention - exploring relationships between cognitive impairment, depression, and fatigue Technology-enhanced therapy - leveraging smartphones, smartwatches, and tele-rehabilitation Recent publications highlight her work in CO-OP approaches for Parkinson's , technology-enabled rehabilitation , and technology accessibility for vision impairment . Awards include NHMRC MRFF PPHR grants and Advance Queensland Women's Academic Fund support. She supervises PhD projects on: Smart technology for cognitive rehabilitation Remote occupational therapy delivery Metacognitive strategies in neurorehabilitation Current funding (2024-2027) focuses on co-creating virtual environments for brain injury recovery. She leads feasibility trials and validation studies in cognitive assessment tools.
Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.
Dr. Amar Khennane serves as a Senior Lecturer at the University of New South Wales (UNSW) Canberra campus within the School of Engineering and Information Technology. His academic career spans multiple institutions including previous appointments as Maitre de Conferences in Tizi-Ouzou, Algeria, Research Associate in Newcastle, Australia, and Lecturer/Senior Lecturer at the University of Southern Queensland (USQ). His research interests focus on sustainable construction materials, particularly bio-cementitious materials, composite materials, timber engineering, reinforced concrete, and hybrid structures. Dr. Khennane has published extensively in these fields with 47 peer-reviewed journal papers, 33 conference papers, 6 other publications, and 2 books including the widely recognized "Introduction to Finite Element Analysis Using MATLAB (R) and Abaqus" (2013). His recent work emphasizes recycling timber waste into geopolymer cement composites, sustainable wood-geopolymer masonry units, and fire response of timber structures. His scholarly output shows a clear trend toward sustainable construction materials and advanced structural analysis techniques, with significant contributions in finite element modeling, seismic performance evaluation, and fire resistance of composite structures. The majority of his recent publications (2020-2024) focus on developing sustainable building materials using recycled components and analyzing structural behavior under various loading conditions. Dr. Khennane actively contributes to engineering education through teaching courses in Structural Analysis, Finite Element Method, Reinforced Concrete, and Stress/Strain Analysis. His educational background includes authoring textbooks that bridge theoretical concepts with practical computational tools like MATLAB and Abaqus.
Nick Butler is a Professor at Stockholm Business School , Stockholm University , where he has been employed since 2016. He previously held positions at Lund University (postdoctoral researcher) and St Andrews University (lecturer). Education: Universities of Warwick, Sussex, and Leicester (UK) Research Focus: Organizational studies, sociology of work, critical management, social theory, philosophy, and qualitative methods Current Projects: Algorithmic leadership research with Prof. Sverre Spoelstra and Dr. Emilie Hesselbo, funded by the Swedish Research Council Interdisciplinary Interests: Gamification ethics, research ethics, stand-up comedy, and philosophy of jokes His publications span topics like algorithmic management, workplace gamification, academic integrity, and humor in organizations. Collaborations with international scholars and contributions to journals such as Organization Studies , Journal of Business Ethics , and Ephemera demonstrate his cross-institutional impact. Though the data lacks explicit student lists or scientific awards, his research on critical performativity and digital leadership tools underscores his relevance in contemporary organizational theory.
Rachel Adler is an Associate Professor at the University of Illinois, affiliated with the School of Information Sciences, National Center for Supercomputing Applications (NCSA), Beckman Institute for Advanced Science and Technology, and the Siebel Center for Design. Her research focuses on accessibility in technology, particularly for individuals with disabilities and cancer survivors, alongside computational thinking and multitasking behavior. Her work emphasizes inclusive design, mHealth interventions, and educational approaches to accessibility. Notable projects include developing apps for cancer survivors and co-designing peer navigation systems. She has collaborated on studies analyzing occupational performance measures for survivors and assessing usability of health technologies. Research Highlights: Accessibility in software, health informatics, and educational technology. Key Collaborations: Beckman Institute, NCSA, Siebel Center for Design. Adler’s publications address topics like music experiences for the deaf community, digital inaccessibility challenges, and family workshops for accessibility education. Her interdisciplinary approach bridges computer science, healthcare, and education.
Michelle Hoda Wilkerson is a learning scientist at the University of California, Berkeley, affiliated with the Berkeley School of Education. She directs the Computing, Reasoning, and Expression (CoRE) Lab, focusing on computational literacy and the integration of scientific computing tools into precollegiate curricula. Her research emphasizes visual data analysis, agent-based simulations, and their social implications in domains like climate and health. Her scholarly contributions appear in journals such as Educational Researcher , Journal of the Learning Sciences , and Science Education . Notable awards include the National Science Foundation Early CAREER Award (2014) and the AERA Division C Jan Hawkins Award (2020). She co-organized the National Academies Workshop on K-12 Data Science Education (2022). Her research highlights the interplay between computational tools, data reasoning, and socio-cultural contexts, advocating for inclusive, humanistic approaches to data science education. Key themes include equity in technology access, teacher education, and leveraging personal experiences in learning environments. NSF Early CAREER Award (2014) AERA Jan Hawkins Award (2020)
Malihe Alikhani is an Assistant Professor at Khoury College of Computer Sciences , Northeastern University , a Visiting Fellow at the Brookings Institution specializing in AI policy, and serves as the Ethics Chair of the Association for Computational Linguistics . She is also a member of the Northeastern Ethics Institute . Her research focuses on developing AI systems that enhance communication, decision-making, and knowledge-sharing through rigorous integration of cognitive and social sciences with machine learning. Her work spans academic, policy, and applied research domains, emphasizing contextual AI systems. She leads the Contextual AI Lab , which develops models capturing human interpretation to support collaborative meaning construction between humans and machines. Her recent publications address uncertainty modeling in dialogue systems, bias mitigation in sign language processing, and ethical AI frameworks. Key contributions include: Advancing sign language understanding in NLP Developing uncertainty-aware dialogue systems Creating discourse-coherent task-oriented dialogue frameworks Formalizing equity in text generation Scientific Awards: Best Theme Paper Award (ACL 2021) Best Paper Award (UAI 2022) She mentors students and researchers in areas spanning sign language processing, dialogue systems, and ethical AI. Her lab collaborates with Deaf and Hard-of-Hearing communities and cognitive science experts to ensure inclusive AI development.
Fardina Alam is a Lecturer in the Department of Computer Science at the University of Maryland, College Park. She holds a Ph.D. from George Mason University (2023), where she specialized in Structural Bioinformatics and Machine Learning. Her academic rank reflects UMD's Professional Track Faculty, equivalent to an Assistant Professor of Teaching. Dr. Alam's research focuses on deep learning applications in protein structure prediction, generative AI, and ethical data practices. She has contributed to projects funded by an NSF FET Grant (#1900061) and published in journals like Biomolecules. Awards include the 2023 Outstanding Dissertation Award and 2022 Editor's Choice Article recognition. Education: Ph.D. (Computer Science, George Mason, 2023); M.S. (Computer Science, George Mason, 2019); B.S. (Computer Science and Engineering, Military Institute of Science and Technology, Bangladesh, 2013). Her teaching emphasizes data science ethics and interdisciplinary applications, including a new course for UMD's Data Science minor. Professional roles include Associate Guest Editor at Bioinformatics Advances (2024), Faculty Advisor to the Bangladeshi Graduate Student Association, and Program Co-Chair for the ACM-BCB Computational Structural Bioinformatics Workshop (2023). Research Interests: Structural Bioinformatics, Generative AI, Responsible AI Ethics, Deep Learning, Machine Learning, and Data Science. Her work bridges computational biology and AI, with a focus on equitable data practices and protein structure analysis. Recent projects address challenges in generating physically-realistic protein structures and improving question-answering systems through equitable data strategies. Awards: Recipient of the 2023 Outstanding Dissertation Award (George Mason University), 2023 Best Paper Award, and 2022 Biomolecules Editor's Choice Article. These accolades highlight contributions to protein structure prediction and bioinformatics methodology. Advising & Grants: NSF FET Grant #1900061 supported her computational biology research. She advises the Nobanno graduate student group and chairs workshops in her field. Her teaching and research aim to promote inclusivity, particularly for underrepresented groups in STEM. Labs/Teams: Active contributor to the Computational Biology Lab at George Mason University and collaborates with UMD's interdisciplinary teams on data ethics and AI applications. Her work aligns with UMD's vision for data-driven education and innovation.
Prof. Dr. Anelis Kaiser Trujillo is a Professor for Gender Studies in MINT (Mathematics, Informatics, Natural Sciences, and Technology) at the Department of Computer Science, Faculty of Engineering, University of Freiburg since 2017. She holds affiliations with the NeuroGenderings network and has held visiting roles at institutions including Uppsala University and the Technical University of Berlin. Her research focuses on sex/gender in neuroscience, intersectionality, and feminist critiques of neuroscientific practices, emphasizing interdisciplinary approaches that bridge natural sciences and social sciences. Educational Background: PhD in Gender Studies (Postgraduate Programme Science “Gender” – Symbolic Order, University of Basel, 2005) Visiting PhD studies at the London School of Economics (2005) Research Interests: Neurogender studies, feminist neuroscience, intersectionality, language processing in multilingualism, and critical analyses of race and gender bias in science. She critiques neuroscientific methodologies that essentialize sex/gender differences and advocates for more inclusive interdisciplinary frameworks. Awards: Recipient of the Emma Goldman Award 2021 for contributions to feminist and inequality studies. Active in international networks like NeuroGenderings, emphasizing global collaborations. Grants & Projects: Marie Heim-Voegtlin fellowship (2013–2016) for research on language processing and brain plasticity. Collaborations on NIH policy critiques and feminist STS responses to societal challenges like the pandemic. Labs/Teams: Leads interdisciplinary projects at the intersection of computer science, neuroscience, and gender studies, fostering critical dialogues in STEM fields.
