JJ Johnson is a Lecturer in Fine Art (Studio Practice) at Goldsmiths University of London, working across drawing, painting, performance, and video to interrogate gender-fluid reproduction, queer kinship, and the intersection of digital communication with human relationships. Their practice merges anthropological methodologies with artistic experimentation. MFA Fine Art, Goldsmiths University of London (2014) BA Fine Art, Nottingham Trent University (2007) DPhil Art Practice (in progress), Ruskin School of Art, University of Oxford (2025) Johnson’s research focuses on: Queer family-making and assisted reproduction politics Screen-mediated relationship dynamics Cultural hybridity through global dilemmas Performance of identity in expatriate communities Deconstruction of 'normative' social structures Material culture in isolation and emotional economies Recent article trends analyze: Documentary approaches to queer subjectivity (2024) Verbatim performance techniques (2018) Anthropological critiques of global capitalism (2015-2018) Pandemic-era materiality in art (2020) Ethnographic film as cultural mediation (2016) Scientific awards: Paul Hamlyn Award (Covid Relief) (2020) Teaching experience includes: Goldsmiths University of London (2022–present, 0.5 permanent) Nottingham Trent University (2016–2022, visiting) Reading University (2018–2019, sessional)
Neng-Fa Zhou is a Professor of Computer and Information Science at Brooklyn College and the Graduate Center of the City University of New York (CUNY). He holds a BS from Nanjing University (1984), and MS and PhD from Kyushu University (1988, 1991). Before joining CUNY, he served as an Associate Professor at Kyushu Institute of Technology (1991-1999) and held visiting positions at Yale, Alberta, Tokyo Tech, and Melbourne. Specializes in programming languages, constraint logic programming, and compiler design Developed Picat and B-Prolog languages with constraint-based graphics libraries Contributed to SAT encodings, multi-agent pathfinding, and declarative programming Scientific Awards: Most Practical Paper Award at PADL 2017 Award in ASP Solver Competition for BPSolver (2011)
Michelle Bligh is the Interim President and Professor of Organizational Behavior at Claremont Graduate University (CGU), where she leads the Division of Behavioral & Organizational Sciences. Her research focuses on leadership dynamics, organizational culture transformation, and charismatic leadership, particularly in post-merger contexts. She holds a BA in Anthropology from Pomona College and advanced degrees in Management & Organizational Behavior from SUNY Buffalo. Bligh’s work bridges academia and practice, advising public and private sector organizations on leadership development and cultural change. She collaborates with institutions like the Kravis Leadership Institute at Claremont McKenna College and the Center for Leadership Innovation and Mentorship Building (CLIMB) at CSU San Marcos, engaging industries ranging from law enforcement to healthcare. Her research emphasizes follower-centric approaches, trust dynamics, and the intersection of gender and leadership. Awards: 2003 Sage Outstanding Paper Award for Research Methods Advising & Grants: While specific student advisees are not listed, her contributions include co-editing special journal issues and books on leadership, such as the 2009 tribute to James R. Meindl. Her grants and institutional roles reflect a focus on leadership education and systemic change. Labs & Teams: Key affiliations include the Kravis Leadership Institute, CLIMB, and the Center for International Leadership in Buffalo. These platforms support her work in leadership training, cross-cultural management, and organizational resilience.
Anne Revillard is a Full Professor of Sociology at Sciences Po, where she is affiliated with the Centre for Research on Social Inequalities (CRIS) and serves as Director of the Interdisciplinary Laboratory for the Evaluation of Public Policies (LIEPP). Her academic work bridges sociology, public policy, and law, with a strong focus on gender and disability as axes of inequality. She is based in Paris and holds a permanent faculty position with national recognition (HDR). Her research interests include policy evaluation, gender studies, disability policies, qualitative methods, social policies, and the sociology of law. She is particularly known for developing and promoting the concept of policy reception , which centers the lived experiences of individuals affected by public policies. Her work critically examines how gender and disability shape access to rights and employment, and how policies are interpreted and experienced at the individual level. The trends in her recent publications reflect a strong interdisciplinary and policy-relevant focus. Her work spans qualitative evaluations of social programs, theoretical contributions to policy analysis, and empirical studies on gender quotas and disability rights. She frequently publishes in high-impact journals across sociology, law, and public policy, and her research has a significant impact on both academic discourse and public debate in France and internationally. Scientific Awards: Grand Prix de la protection sociale (2022) for her book Des droits vulnérables : handicap, action publique et changement social Anne Revillard is an active advisor to doctoral students working on gender, disability, and public policy. She leads major research grants such as the PRESPOL project (2024–2029), funded by PPR Autonomie with over 3 million euros, and has secured funding from CNAF, FIRAH, and Agefiph. She is also involved in editorial and advisory roles, including membership on the scientific councils of INSP, CNAF, and Agefiph, and on the editorial boards of journals such as French Politics , L’Année sociologique , and Droit et Société . She leads and coordinates the LIEPP research laboratory and oversees the compilation of an annotated bibliography on disability and work. She also organizes academic workshops and seminars, including the LIEPP Young Researchers Workshop in Public Policy Evaluation.
Dr Brian Moore is a lecturer, researcher, and registered psychologist at Charles Sturt University, actively contributing to the fields of mental health, wellbeing, and applied psychology. He is affiliated with the School of Psychology within the Faculty of Arts, Education and Social Sciences, and serves as co-chair of Wellbeing and Mental Health Research Australia. He is also a member of the Executive Committee of the School Counsellor and Psychology Association NSW and a Special Advisory Group member for UNESCO’s International Centre of Martial Arts for Youth Development and Engagement. Education: Doctor of Philosophy (Physical Activity and Mental Health), Macquarie University (2021) Post Graduate Diploma in Psychology, University of Wollongong (2012) Certificate in School Counselling, University of Wollongong (2011) Graduate Diploma in Psychology with Distinction, Charles Sturt University (2010) Master of Teaching, Charles Sturt University (2008) Graduate Diploma in Education, University of Canberra (2000) Bachelor of Arts, The University of Sydney (1999) Dr Moore’s research focuses on youth mental health, resilience, and school-based psychosocial interventions, particularly through martial arts training and cooperative gaming. His work aims to improve mental health outcomes in adolescents and pre-service teachers, addressing issues like bullying, conflict, and workforce retention in regional areas. He has led international collaborations, including a study in Nepal and regional India, translating interventions across cultural contexts. His recent publications (2023–2024) reflect a strong trend in applying martial arts and physical activity as tools for mental health promotion across age groups—from adolescents to older adults. His research combines randomized controlled trials, scoping reviews, and feasibility studies, often in educational settings, highlighting interdisciplinary collaboration in psychology, education, and public health. Scientific Awards and Grants: Early Career Researcher Grant, Charles Sturt University (2022) Arts, Education & Law Group Research Developmental Grant, Griffith University (2021) Outstanding Reviewer Award, Journal of Health and Sport Science (2021) Early Career Conference Grant, Association of Commonwealth Universities (2020) Educational Studies Conference Grant, Macquarie University (2020) Dr Moore is actively involved in advising and research leadership, serving as a peer reviewer for journals such as Psychology of Sport and Exercise and BMC Public Health , and chairing the Singapore Conference on Applied Psychology 2023. He has secured multiple grants supporting early career research and conference participation, demonstrating strong external recognition. His work is aligned with UN Sustainable Development Goals, particularly in quality education and good health. He is a key member of several research networks and collaborates internationally, particularly in South Asia. His public engagement includes frequent media contributions through The Conversation , where he discusses student mental health, bullying, and education policy, translating research into accessible insights for broader audiences.
Dr. Julian Dermoudy is an Associate Professor and Associate Head (Learning and Teaching) in the School of Information and Communication Technology at the University of Tasmania. With over 25 years of teaching experience, he has received national and institutional recognition for his pedagogical contributions. His roles have included Head of School, Associate Dean, and Course Coordinator, reflecting his leadership in academic administration. His teaching spans the Bachelor of ICT and Master of ITS programs. Research Interests: Learning and Teaching Innovations Computing Education and Curriculum Design Serious Games and Gamification for Behavior Change Multimodal Analysis and Verification Parallelism and Software Engineering Funded Projects: UTAS Internal Funding: Embedding Indigenous Knowledge in Curriculum (2021-2021) Advising: Supervised 11 doctoral candidates across domains like biometric authentication, ICT curriculum design, and mobile technology impact. Recent students include Simon Stanton (Cooperative Intent) and Shahan Chowdhury (Collaborative In-Store Shopping). Labs/Teams: Active in curriculum redesign initiatives and educational technology innovation, particularly in VR and gamification applications.
Benjamin Lee Greenman is an Assistant Professor at the Kahlert School of Computing , part of the John and Maria Price College of Engineering at the University of Utah. His research focuses on programming languages, gradual/migratory type systems, formal methods, and human factors in software development. He holds a Ph.D. from Northeastern University (2020), a CIFellows postdoc at Brown University (2020–2022), and degrees from Cornell University (B.S. in ILR, M.Eng. in CS). Key projects include: Forge: A tool for teaching formal methods with lightweight model finding. FlowFPX: Tools for debugging floating-point exceptions in scientific computing. LTL Tutor: An adaptive learning system addressing temporal logic misconceptions. Gradual Typing Benchmarks: Evaluating performance and guarantees of type systems. His work emphasizes rigorous methods for language design, including empirical studies, performance evaluation, and human-centered approaches. Recent contributions include exploring misconceptions in LTL education and advancing type system interoperability between typed and untyped code. Teaching roles include courses on compilers, software verification, and programming languages. He advocates for practical tools like Rhombus (Python-like syntax with Lisp macros) and Static Python ’s sound gradual typing system.
Wayne S. Dysinger, MD, MPH, is an Associate Professor in the School of Medicine’s Department of Family Medicine and an Assistant Professor in the School of Public Health at Loma Linda University. He also holds an Associate Clinical Professor title in the School of Medicine’s Preventive Medicine Department. His academic credentials include a BA from Southern Adventist University (1982), an MD from Loma Linda University (1986), and an MPH (1990). Dr. Dysinger’s research focuses on Lifestyle Medicine, emphasizing chronic disease prevention, treatment, and reversal through multidisciplinary approaches. He advocates for integrating lifestyle interventions into clinical practice, including group visits, value-based care models, and technology-driven solutions like the MyHeart mHealth system for heart failure management. His work spans public health initiatives such as the Complete Health Improvement Program (CHIP), which reduces chronic disease risk factors in populations. Recent research highlights include prioritizing lifestyle medicine research agendas, advocating for national networks to support providers, and evaluating evidence-based interventions. He contributes to medical education through competency frameworks for lifestyle medicine training and curriculum development in preventive care. Key collaborations include the Lifestyle Medicine Research Summit and partnerships with global health organizations to address chronic disease epidemics in Latin America. His publications emphasize actionable strategies for reversing chronic conditions and fostering sustainable healthcare systems.
Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.
Carmine Dodaro is an active researcher in Answer Set Programming (ASP) at the University of Calabria's Department of Mathematics and Computer Science. With over 130 publications from 2011-2025, his work bridges theoretical advances in logic programming with practical healthcare applications. His primary research interests include: Answer Set Programming theory and implementation Compiler techniques for ASP solvers Healthcare scheduling optimization (operating rooms, nurse staffing, chemotherapy) Integration of ASP with other AI paradigms Real-world constraint satisfaction problems Dodaro's recent work demonstrates exceptional focus on healthcare applications of ASP, with multiple 2023-2024 publications addressing nurse scheduling, operating room management, rehabilitation planning, and nuclear medicine scheduling. His approach typically involves developing specialized ASP encodings that handle complex real-world constraints while maintaining computational efficiency. He maintains a highly productive collaboration network, particularly with Marco Maratea (52 co-authored papers), Mario Alviano (40), and Giuseppe Galatà (23), forming one of Italy's leading ASP research groups. His publications appear consistently in top venues including Theory and Practice of Logic Programming, IJCAI, AAAI, and specialized logic programming conferences. Dodaro has contributed significantly to both theoretical foundations (unsatisfiable core analysis, paracoherent reasoning) and practical implementations (WASP solver extensions, CNL2ASP translation tools). His 2024-2025 publications indicate ongoing research momentum with no signs of reduced activity.
Maria Cristina Molinari is a Researcher at the Department of Economics , Ca' Foscari University of Venice. Her work bridges Political Economy , Game Theory , and Social Network Analysis , with a focus on historical institutional design and corruption dynamics. Research interests include: Electoral systems in pre-modern republics Corruption and privatization Marital network structures Lot-based selection mechanisms Her recent publications emphasize computational social science approaches to historical data, particularly Venetian governance and Genoese voting systems. Teaching responsibilities involve Political Economics courses for undergraduate programs. She is affiliated with the Economics Degree Commission and Economics Department Board , with research funded by MIUR (PRIN 2008-2010: Information markets and institutional efficiency ). Publications span peer-reviewed journals, book chapters, and educational textbooks.
Prof. Dr. Matthias Tichy is a Full Professor and head of the Institute of Software Engineering and Programming Languages at Ulm University, Germany, since 2015. His research focuses on domain-specific languages (DSLs), model-driven engineering (MDE), self-adaptive software , and cyber-physical systems , with an emphasis on safety-critical applications and graph transformation formalisms. He employs empirical research methods to evaluate technical contributions and human factors in software engineering. University: Ulm University Role: Professor & Institute Head Research Interests span domain-specific languages for mechatronic systems, collaborative modeling , performance prediction in model transformations, and software evolution in industrial contexts. His work often bridges graph transformations and safety assurance for self-adaptive systems. Recent Publications highlight trends in model versioning (e.g., operation-based caching), DSL design (e.g., flowR for R code analysis), and automotive software testing (e.g., clustering test case specifications). He frequently collaborates with international institutions on topics like cyber-physical systems and IoT resilience . Key Collaborations include projects with Chalmers University, University of Gothenburg, and industrial partners like dSPACE GmbH. His grants and industry partnerships focus on automotive software , robotics , and self-healing systems .
Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.
Armin Alaghi serves as a Research Scientist at Oculus Research (Redmond, WA) and holds an Affiliate Assistant Professor position at the University of Washington. His dual affiliation enables valuable knowledge transfer between cutting-edge industrial research and academic pursuits in computer systems engineering. Dr. Alaghi's research spans the intersection of embedded systems, digital circuits, and mathematics. His primary focus involves building low-power augmented reality (AR) and virtual reality (VR) systems while developing novel computation methods for unreliable beyond-CMOS technologies. His previous research contributions include significant work in stochastic computing (where he developed the STRAUSS synthesis methodology), reliable Network on chip (NoC) design, FPGA testing methodologies, NoC testing techniques, artificial neural networks implementations, asynchronous circuit design, and multi-valued logic systems. He has made his spectral-transform-based synthesis tool publicly available on GitHub, demonstrating commitment to open research. Analysis of Dr. Alaghi's publication record reveals a clear research trajectory from foundational circuit-level work toward practical applications in AR/VR systems. His publications from 2020-2025 demonstrate expertise spanning computer architecture, security for immersive technologies, neural network compression techniques, and homomorphic encryption methods. A recurring theme throughout his work is the exploration of quality-energy tradeoffs and error-resilient computing approaches, with increasing focus on security aspects of AR/VR systems in his most recent work. Dr. Alaghi maintains active connections with the broader research community, as evidenced by his Erdős number of 3 (Armin Alaghi John P. Hayes Frank Harary Paul Erdős) and his ongoing contributions to open-source research tools. His GitHub repository for stochastic computing synthesis shows community engagement with multiple contributors. At Oculus Research, Dr. Alaghi applies his theoretical expertise to practical challenges in next-generation AR/VR system development. His work bridges academic research with real-world product development, particularly in addressing energy efficiency challenges for wearable computing platforms through innovative circuit design approaches.
Ziyang Li is an Assistant Professor of Computer Science at Johns Hopkins University and a member of the Data Science and AI Institute. He holds a Ph.D. in Computer Science from the University of Pennsylvania (2025) and dual bachelor's degrees in Computer Science and Mathematics from UCSD (2019). Research Areas: Neurosymbolic Programming, AI4Code His research bridges programming languages and machine learning, focusing on neurosymbolic methods that combine symbolic reasoning with learning-based techniques. Applications span software security, computer vision, natural language processing, bioinformatics, and clinical decision-making. He developed Scallop , a neurosymbolic programming language, and Lobster , a GPU-accelerated framework for neurosymbolic applications, with impacts in cybersecurity and biomedical domains. Recent publications highlight neurosymbolic approaches for RNA structure prediction, Long COVID modeling, and safety-critical systems. His work emphasizes data-efficient learning, weak supervision, and hybrid AI for scalable reasoning. Scientific Awards : AWS Fellowship (2023) KPCB Fellows, Engineering (2018) NIH L3C Honorable Mention Award Li has mentored students including Jason Liu, Felix Zhu, and Eric Zhao, and served as Teaching Assistant for courses at UPenn and UCSD. He co-organized the TACPS Workshop and reviewed for NeurIPS, ICLR, and ICML.
