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Runar Hilleren LieView profile

Research Fellow

• International Investment Law
• Computational Legal Studies
• International Economic Law
• +7 more

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)

• Chiral Recognition
• Enantiomeric Separations
• Ionic Liquids
• +5 more

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.

• Citizen Science
• Biodiversity Monitoring
• Road Ecology
• +7 more

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.

• Accessibility in Technology
• Software Accessibility
• Disabilities and Technology
• +5 more

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 WilkersonView profile

Researcher

• Computational Literacy
• Scientific Computing
• Visual Data Analysis
• +12 more

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 AlikhaniView profile

Assistant Professor

• AI Ethics
• Computational Linguistics
• Natural Language Processing
• +3 more

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.

• Bioinformatics and Computational Biology
• Machine Learning
• Data Science
• +3 more

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.

Anelis Kaiser TrujilloView profile

Professor

• Gender Studies in STEM
• Feminist Neuroscience
• Sex and Gender Differences in Neuroscience
• +6 more

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.

• Software Engineering
• Spatial Information Systems
• Accessibility Technology
• +3 more

David McMeekin is a Senior Lecturer at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), part of the Faculty of Science and Engineering. He holds a PhD in Software Engineering focusing on the human aspects of software development and has extensive experience in both academia and international NGOs. His research emphasizes applying technology to solve societal challenges, including accessibility for vision-impaired individuals, autism support through tech, cultural heritage preservation, and spatial data infrastructure. Education and professional background are not explicitly detailed in this profile, though his career spans over three decades in education and tech sectors. Research interests include semantic web technologies for spatial data, assistive technologies for disabilities, and digital humanities. He has been recognized with the 2014 Western Australian Spatial Educator of the Year award. Teaching spans topics like software engineering, programming languages (C, Java, Python), cross-cultural communication, and spatial data processing. His work bridges technical innovation with social impact, particularly in enhancing accessibility and cultural preservation through digital tools.

• Developmental Psychology
• Autism Spectrum Disorder
• Child Development
• +3 more

Jennifer Grandits is a Principal Lecturer in the Department of Psychology at Clemson University, affiliated with the College of Behavioral, Social and Health Sciences. She holds a PhD in Developmental Psychology from the University of Connecticut (2013), along with a Quantitative Research Methods Certificate, MA in Developmental Psychology (2010), and dual BA degrees in Psychology and Sociology from the University of Virginia (2007). Her research focuses on autism spectrum disorder interventions, implicit biases in healthcare, and aging workforce adaptation. She teaches courses in experimental psychology and lifespan development. Key research themes include sensory-based interventions for autism, cross-cultural stigma analysis, and leveraging machine learning for predictive modeling in health contexts. Her work bridges developmental psychology with practical applications in education and clinical settings. Expertise areas: Neurodiversity, child development, applied statistics Recent projects involve collaborations with autistic communities in curriculum design Teaching responsibilities include foundational psychology courses and advanced lifespan development studies. Her CV highlights contributions to inclusive education programs and technology adoption initiatives for older adults.

Jennifer SuhView profile

Professor

• Mathematics Education
• Lesson Study
• Mathematical Modeling
• +4 more

Dr. Jennifer Suh is a Professor of Mathematics Education at George Mason University’s College of Education and Human Development. She co-directs the Center for Outreach in Mathematics Professional Learning and Educational Technology (COMPLETE), a partnership between the College of Education and the College of Science. Her work focuses on elementary mathematics education, teacher development through lesson study, and equitable instruction using mathematical modeling and technology. PhD in Mathematics Education Leadership with a specialization in Instructional Technology (George Mason University, 2005) Bachelor of Arts (University of Virginia, 1994) Masters in Teaching (University of Virginia, 1994) Dr. Suh’s research centers on: Building pedagogical content knowledge via lesson study and collaborative partnerships Promoting representational fluency through physical/virtual manipulatives Designing STEM problem-based learning (PBL) environments Developing equity-centered frameworks for technology integration Mathematical modeling for social justice and community contexts Her recent publications highlight trends in algorithmic thinking with AI tools, culturally responsive pedagogy, and adaptive learning environments. She also explores interdisciplinary approaches to mathematical modeling and 21st-century skills. Scientific awards include: Nomination (2011) for the Rising Star Outstanding Faculty Award by Virginia institutions Dr. Suh supervises teacher interns through George Mason’s Professional Development School Program and collaborates with Northern Virginia school districts via the COMPLETE center. She emphasizes authentic problem-solving and teacher leadership development.

Tejaswini HerathView profile

Professor

• Information Security Governance
• Mobile Payment Technologies
• Cybersecurity
• +3 more

Tejaswini Herath is a Professor of Information Systems at the Goodman School of Business, Brock University. Her research focuses on information security governance, mobile payment technologies, and the ethical implications of technology adoption. She has contributed extensively to understanding cybersecurity challenges, digital privacy, and the socio-economic impacts of emerging technologies. Her work often bridges technical and organizational aspects, emphasizing frameworks for risk management and innovation adoption. Recent studies include analyses of mobile payment systems in developing economies, cryptocurrency valuation ethics, and pandemic-era technology governance lessons. Her research spans interdisciplinary topics such as phishing susceptibility, user behavior in digital environments, and the integration of cybersecurity into organizational strategies. She has published over 50 peer-reviewed articles, with a focus on practical applications of theoretical models like Bayesian post-audit frameworks and technology-organization-environment (TOE) models. Her work addresses both academic and industry audiences, advocating for balanced scorecard approaches to security performance measurement. Tejaswini Herath is actively involved in curriculum development for information systems education, emphasizing student motivation and learning outcomes in IS courses. She collaborates with global institutions to study cross-cultural technology adoption patterns and policy implications.

Nadine KozakView profile

Associate Professor

• Information Policy
• Information and Communication Law
• Information and Communication History
• +4 more

Nadine Kozak serves as Associate Professor at the School of Information Studies, University of Wisconsin-Milwaukee, where she examines how individuals and communities navigate information regulations across governmental levels. Her work bridges historical analysis with contemporary policy challenges in digital governance. Her academic foundation includes: PhD in Information Studies from University of California, San Diego MA in Communication from Carleton University, Ottawa, Canada BA (Honors) in History from University of Calgary, Calgary, Canada Dr. Kozak's research critically investigates intellectual freedom in community contexts like Little Free Libraries, online activism for internet freedom (including SOPA/PIPA protests), and transnational misinformation dynamics. She employs historical methodologies to analyze policy evolution, with particular focus on how local actors shape information access and governance. Her interdisciplinary approach integrates legal, sociological, and historical perspectives to address tensions between regulatory frameworks and grassroots information practices. Recent publications (2015-2022) reveal consistent engagement with community-driven information systems, regulatory challenges in digital spaces, and global misinformation ecosystems. Her scholarship demonstrates how historical precedents inform current debates on internet governance, while highlighting community agency in navigating censorship and access barriers across diverse settings from rural North America to conflict zones. No major scientific awards are documented in available sources. Dr. Kozak teaches core courses including INFOST 110 (Introduction to Information Science), INFOST 465 (Legal Aspects of Information), INFOST 660 (Information Policy), and INFOST 960 (Seminar in Information Policy). While specific student advising details are unreported, her graduate-level seminars suggest active mentorship in policy research. Current grant activities and laboratory affiliations remain unspecified in source materials, though her publication record indicates sustained research productivity.

Yat LiView profile

Professor

• Functional Materials
• Energy Conversion
• Energy Storage
• +3 more

Yat Li is a Professor of Chemistry and Biochemistry at the University of California, Santa Cruz. His research focuses on the rational design and fabrication of functional materials for catalysis, energy conversion, and energy storage applications. He teaches physical chemistry and solid-state materials chemistry, emphasizing diversity, equity, and inclusion in STEM education. Li's work explores electrode optimization for high-rate water splitting, additive manufacturing of energy storage devices, and CO2 capture technologies. He is committed to supporting transfer students in overcoming academic barriers in STEM fields. Education: Not explicitly listed in provided texts. Research interests include advanced electrode architectures, 3D printing of functional materials, and improving the stability and efficiency of electrochemical systems. His studies often integrate experimental and computational methods to address material properties and reaction mechanisms. Li has contributed significantly to understanding ion diffusion kinetics, catalyst deactivation, and doping effects in materials like hematite. His work bridges fundamental material science with practical energy solutions. Publications highlight innovations in electrode design for grid-scale energy storage, CO2 management, and high-performance supercapacitors. While no awards are listed here, his prolific output reflects recognition in electrochemical and materials research communities. Li advises students on materials synthesis and device fabrication, though specific advisees are not listed. His research teams collaborate on projects involving microbial fuel cells, aerogel-based electrodes, and photovoltaic materials.

Shin'ichiro MatsuoView profile

Research Professor

• Blockchain Security
• Cryptography
• Digital Trust
• +3 more

Shin'ichiro Matsuo is a Research Professor of Computer Science at Georgetown University specializing in blockchain security and cryptography. He co-directs the CyberSMART research center, leading multidisciplinary research in technology, economy, law, and regulation. Matsuo serves as co-chair of Blockchain Governance Initiative Network (BGIN) and founded BSafe.network, an international research test network for blockchain technology with 27 participating universities. His academic contributions include leadership in ISO TC307 security standardization and previous roles as head of Japanese national body for cryptographic techniques. Research Interests: Blockchain governance and security Cryptographic protocols and applications Privacy-enhancing digital trust systems Smart contract mechanisms Digital currency interoperability Awards & Recognition: Program Chair for IEEE ICBC 2022 and Scaling Bitcoin 2018 Leader of ISO TC307 Blockchain Security Standardization Editorial Board Member for IEEE Transactions on Dependable and Secure Computing Professional Activities: Founder of CELLOS Consortium for cryptographic protocol security Steering Committee Member for Security Standardization Research Technical Advisor to Japanese government on cryptographic technology