Luca Frediani is a Professor in Theoretical and Computational Chemistry at the Hylleraas Center, Department of Chemistry, UiT The Arctic University of Norway. His research focuses on advanced quantum chemistry methods, including density functional theory, multiwavelet basis sets, and solvation modeling. He actively develops computational tools like MRChem and VAMPyR for molecular electronic structure calculations. Current affiliation: UiT The Arctic University of Norway Research group: Theoretical and Computational Chemistry Teaching: KJE-2001 Theoretical Chemistry and Spectroscopy His work spans relativistic quantum chemistry, numerical methods for response properties, and benchmarking of basis set limits. Publications emphasize eliminating basis set errors, multiwavelet applications, and polarizable continuum models for solvation. He collaborates extensively on software development for quantum chemistry. Recent articles highlight multiwavelet-based DFT at the basis set limit, noise-tolerant force calculations, and relativistic effects in electronic structure. Sub-fields include scalar relativity, cavity-free solvation, and metal-ligand interaction accuracy.
Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.
Onita Basu, Professor in the Department of Civil and Environmental Engineering at Carleton University's Faculty of Engineering and Design, specializes in water and wastewater treatment technologies. With a Ph.D. from the University of Waterloo, she leads the Basu Research Group, focusing on filtration/membrane bioreactors, biological removal of pharmaceuticals, and community-based water solutions in Tanzania. Her teaching includes courses like ENVE 3001 Water Treatment Principles and Design and graduate-level membrane processes. B.A.Sc., M.A.Sc. (University of British Columbia) Ph.D. (University of Waterloo) Professional Engineer (P.Eng.) Research Interests: Professor Basu investigates integrated water treatment systems, emphasizing membrane fouling control, nanoparticle disinfection mechanisms, and removal of recalcitrant organics. Her work bridges advanced technologies like ceramic ultrafiltration with practical implementations in low-resource settings through projects such as the Tanzania Water Hub. Recent Publications: Her 2025 studies on silver-doped zinc oxide for antimicrobial water treatment and PFAS removal strategies highlight emerging contaminant solutions, while 2024 work explores graphene oxide adsorption and climate change education programs. Earlier articles focus on membrane fouling, nanoparticle elution, and biofiltration optimization. Labs & Projects: The Basu Research Group operates pilot plants for membrane testing, biofiltration systems, and community engagement initiatives in Tanzania. They hosted Carleton's 3MT event in 2023 and collaborate with institutions like Humber College on NSERC-funded projects.
Waldemar Celes Filho is an Associate Professor in the Department of Computer Science at Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and serves as Director of the Tecgraf Institute/PUC-Rio. With a career spanning over three decades, he has established himself as a leading researcher in computer graphics and scientific visualization. His educational background includes a Civil Engineering degree from UFRJ (1986), a Master's in Civil Engineering from PUC-Rio (1990), a Doctorate in Computer Science from PUC-Rio (1995), and postdoctoral studies in Computer Graphics at Cornell University (1995-1997). Dr. Celes Filho's research focuses primarily on Computer Graphics with special emphasis on Scientific Visualization, Numerical Simulation, Distributed Visualization, and Real-Time Rendering. He is particularly known for his work on visualization techniques for black oil reservoir models and as a co-creator of the Lua programming language. His research has resulted in over 50 publications spanning nearly three decades, with consistent output continuing through 2025. His recent publications demonstrate a strong trend toward applying advanced visualization techniques to complex industrial problems, particularly in petroleum engineering and construction informatics. His work bridges theoretical computer graphics with practical applications in engineering domains, showing particular strength in volume rendering, CAD model visualization, and distributed rendering systems. As Director of the Tecgraf Institute, he leads research initiatives that connect academic work with industry applications, fostering collaborations that translate visualization research into practical tools. Dr. Celes Filho has mentored numerous students who have become co-authors on his publications, including Paulo Ivson, Fábio Markus Miranda, and Lucas Caracas de Figueiredo, among others. His work continues to be influential in both academic and industrial settings.
Yasser Arafat Payne is a Professor of Sociology & Criminal Justice at the University of Delaware's College of Arts & Sciences, with a joint appointment as an associate professor in the Department of Africana Studies. His academic work focuses on street ethnographic research examining policing and reentry, economic well-being and educational inequality, and gun violence with street-identified Black Americans through the innovative Street Participatory Action Research (Street PAR) framework. Payne earned his Ph.D. and M.Phil. from the City University of New York Graduate Center, an M.A. from Seton Hall University, and a B.A. from Wagner College. His educational background has informed his distinctive approach to studying marginalized communities through the lens of those who live within them. Payne's research program challenges dominant arguments in the literature by asserting that all of the streets of Black and Brown America are resilient. His work focuses on racial identity, street identity, school violence, physical violence, Gangster Rap music and culture, and the methodology of street participatory action research. He has developed Street PAR as a framework that includes three essential features: research orientation, intervention for Street PAR members, and a vehicle for action and activism in local communities. His recent publications reveal a consistent focus on violence exposure, police-community relations, reentry challenges, and resilience among street-identified Black populations. Payne's work spans multiple disciplines including criminology, sociology, public health, and urban studies, with particular attention to the intersection of structural inequality and individual experience. Payne actively engages with media on issues of policing and structural violence, as evidenced by his July 2024 commentary on stop-and-frisk policies for NBC News and his August 2023 presentation to the Wilmington Reparations Task Force. He co-authored the book 'Murder Town, USA: Homicide, Structural Violence and Activism in Wilmington' (Rutgers University Press, 2023), which has become a key resource for understanding gun violence in urban communities. As an educator, Payne teaches specialized courses on street ethnography, Gangster Rap Music and Culture, Racial Stratification, and core courses on Race, Class & Gender and Race, Gender & Poverty. His teaching philosophy centers on bringing the lived experiences of street-identified populations into academic discourse through innovative pedagogical approaches. Payne leads a research lab focused on Street PAR methodology, training community members to document experiences of street-identified Black populations through surveys, interviews, and dual interviews. His approach emphasizes community ownership of research and the transformative potential of participatory methodologies in addressing structural violence.
András Gyenis is an Assistant Professor in the Department of Electrical Engineering at the University of Colorado Boulder, specializing in photonics and quantum engineering. His research focuses on developing hybrid superconducting-semiconducting quantum devices to enhance qubit coherence times. Prior to CU Boulder, he held postdoctoral and visiting positions at Princeton University and the Niels Bohr Institute, focusing on superconducting quantum circuits and topological materials. Education: PhD in Physics (2016, Princeton University), MS/BS in Experimental Condensed Matter Physics (Budapest University of Technology, Hungary). His work bridges quantum material science and quantum information science, emphasizing noise-protected qubit architectures and novel material platforms. Research Interests: Hybrid quantum devices, topological materials, superconducting circuits, coherence time extension, and cryogenic electronics. His lab creates qubits with intrinsic protection mechanisms to counteract environmental noise, advancing scalable quantum computing. Selected Articles: Recent work includes symplectic geometry in quantum circuits (2024), supercurrent reversal in nanowires (2023), and protected qubit designs (2021–2022). These studies explore material integration, dynamical sweet spots, and noise mitigation strategies. Labs/Teams: The Gyenis Lab at CU Boulder develops hybrid qubits and semiconductor-based quantum devices. They seek graduate/undergraduate students for experimental and theoretical contributions.
Judith Andersen is an Associate Professor at the University of Toronto Mississauga, specializing in health psychology with a focus on the psychophysiology of stress and its impact on mental and physical health in high-stress occupations. Her research emphasizes evidence-based training programs for police and special forces, resilience development for first responders, and mental health disparities among LGBTQ+ communities. She holds a PhD from the University of California, Irvine. Her work includes designing stress-regulation interventions to enhance police decision-making during critical incidents and developing competency frameworks for incident commanders. Recent projects involve applying biofeedback technology (e.g., HRV monitoring) to improve officer performance and wellness. She collaborates internationally with law enforcement agencies in Canada, the U.S., and Europe. Key research domains include: Psychophysiological stress responses and their modulation Resilience training for first responders Mental health disparities in marginalized groups Evidence-based policing strategies Her publications from 2024–2025 explore topics like stress physiology in policing, competency development for crisis leaders, and the role of social support in reducing LGBTQ+ mental health disparities. Ongoing projects focus on reducing racial bias in policing and optimizing training through big data analytics. While no formal advisees are listed, her research teams engage in translational studies impacting policy and practice. She advocates for applied psychological research to bridge academic and real-world challenges in public safety and health.
Alannah Oleson is an Assistant Professor in the Department of Computer Science at the University of Denver's Ritchie School of Engineering and Computer Science. Her work focuses on inclusive design, computing education, and addressing equity issues in technology. She is actively involved in the KIHA Innovation Labs, exploring human-centered approaches to computing education and HCI. Her research investigates how demographic factors influence learning outcomes in computing courses, develops pedagogical methods for teaching inclusive design (e.g., the CIDER framework), and examines the ethical implications of technology in K-12 and university settings. Notable areas include algorithmic fairness, gender bias in software systems, and culturally responsive computing education for underrepresented groups. Dr. Oleson's research emphasizes practical methods for integrating critical thinking into software design processes, with recent work exploring peer feedback systems for equity analysis in large courses and curriculum reforms to promote ethical awareness. Her contributions bridge theory and practice, aiming to make computing education more equitable and socially responsible.
Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.
Krisztina Domjan is a progressive educator at American University's School of Professional & Extended Studies and Office of Global & Immersive Studies (OGIS), where she serves as the past Chair of the OGIS Faculty Council and holds the distinction of being CTRL's inaugural Artificial Intelligence in Instruction Faculty Fellow for AY23-24 and AY24-25. With extensive experience across higher, adult, and secondary education settings in Hungary, England, Germany (military base), and the USA, she teaches courses including Complex Problems Seminar: iGen Reboot, Intercultural Understanding, and College Writing. Educational Background: PhD in English Language and Intercultural Communication (2013), Anglia Ruskin University, Cambridge, UK M.A. in European Languages and Intercultural Studies (2003), Anglia Ruskin University, Cambridge, UK B.A. in Teaching English as a Foreign Language (1999), Kodolányi János University College, Szekesfehervar, Hungary Dr. Domjan's research focuses on inclusive and transparent teaching practices, AI literacy skills, intercultural understanding, and Generation Z intellectual habits. As a WATESOL President (2023-2024) and active member of TESOL, ISTE, and Heterodox Academy, she champions culturally responsive pedagogy and digital citizenship competencies. Her work emphasizes creating equitable learning environments that bridge cultural divides while leveraging technology for enhanced student engagement and retention. Her scholarly output demonstrates a clear trajectory toward understanding the intersection of AI and education, with recent publications exploring how generative AI can be integrated responsibly into academic settings while maintaining academic integrity. These works reveal her commitment to developing practical frameworks that help both educators and students navigate the rapidly evolving digital landscape of higher education. Notable Recognition: Artificial Intelligence in Instruction Faculty Fellow (AY23-24, AY24-25) Milton and Sonia Greenberg Scholarship of Teaching and Learning Award (2021-2022) Inclusive Pedagogy Fellow (AY19-21) Jack Child Teaching with Technology Award (2018) As an advocate for lifelong learning and innovative teaching practices, Dr. Domjan has presented extensively at national conferences on topics ranging from inclusive academic discussions to AI-assisted teaching. Her leadership in professional organizations like WATESOL demonstrates her commitment to building collaborative learning communities that advance educational excellence across cultural boundaries.
Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.
Brian Chen is an Assistant Adjunct Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at the University of California San Diego (UCSD). His research focuses on biomarkers of aging, epigenetics, and epidemiological studies , with a particular interest in translating these findings into clinical applications and population health strategies. Education: PhD in Epidemiology, University of California Los Angeles (UCLA) MPH in Epidemiology/Biostatistics, University of California Berkeley Bachelor of Science in Biochemistry/Cell Biology & Psychology, UC San Diego Research Interests: Brian's work centers on understanding biological aging mechanisms through epigenetic changes, particularly DNA methylation patterns. He explores how these biomarkers correlate with age-related diseases (e.g., dementia, cardiovascular disease) and health disparities. His studies often involve large-scale epidemiological cohorts and cutting-edge genomic technologies. Publications: His recent work emphasizes validation of aging biomarkers, epigenetic clock analyses, and translational strategies for clinical implementation. Key contributions include studies on racial/ethnic health disparities linked to epigenetic aging and the role of biomarkers in predicting cardiovascular outcomes. Collaborations: Brian frequently collaborates with leading researchers like Steve Horvath (epigenetic clock pioneer), Luigi Ferrucci (aging epidemiology), and Tamara B. Horvath (neuroendocrinology). His work has been cited over 5,000 times in high-impact journals. Future Directions: Current projects include developing multi-omic aging biomarker panels and investigating interventions to modulate epigenetic aging processes. He also advocates for standardized validation frameworks for aging biomarkers in clinical settings.
Prof. SG (Guid) Oei is a full-time faculty member at the Eindhoven University of Technology (TU/e) in the Biomedical Diagnostics Lab under the Department of Electrical Engineering. He serves as a leading academic in the Eindhoven MedTech Innovation Center and the Center for Care & Cure Technology Eindhoven , focusing on advanced signal processing systems for maternal-fetal health diagnostics. Primary Affiliation: Professor , Electrical Engineering, TU/e Research Centers: Eindhoven MedTech Innovation Center, Biomedical Diagnostics Lab, Center for Care & Cure Technology Eindhoven Research Focus : Developing non-invasive fetal monitoring technologies, including electrohysterography and speckle tracking echocardiography , to improve detection of fetal distress, preterm birth prediction, and maternal-fetal health outcomes. His work bridges biomedical diagnostics with machine learning, emphasizing real-time clinical applications. Scientific Contributions : Over 288 research outputs with 4568 citations, including pioneering studies on: Fetal myocardial deformation analysis AI-enhanced cardiotocogram interpretation Extra-uterine life support system design Impact of maternal mental health on labor outcomes Optimization of uterine monitoring techniques Collaborative Networks : Works with key researchers like Jan WM Bergmans (NeuroPlatform), Massimo Mischi (Biomedical Diagnostics), and Judith OEH van Laar on projects spanning prenatal diagnostics, maternal-fetal coupling, and simulation-based obstetric training.
Prof. Bas Jacobs is a Full Professor of Public Economics at the School of Business and Economics, Vrije Universiteit Amsterdam since 2022. Previously, he held the Sijbren Cnossen Chair at Erasmus University Rotterdam from 2018. His research spans public finance, optimal taxation, welfare economics, macroeconomics, human capital theory, and labor economics. He is a research fellow at the Tinbergen Institute and CESifo, and serves on advisory boards for institutions like the Norwegian Center of Taxation and the International Institute for Public Finance. Education: PhD in Economics from the University of Amsterdam (2002). Collaborations include work with prominent economists like Robin Boadway, James Heckman, and Albert Jan Hummel. Research interests focus on taxation design, fiscal policy impacts, environmental taxation, and education policy. Notable recent work addresses optimal capital taxation, trade policy under Trump, and fiscal sustainability in aging societies. Ancillary roles include advisory positions at the Norwegian Center of Taxation, ING Pensioenfonds, and columnist for EW Magazine . Active in public policy debates via media contributions (BNR, MeJudice). Grants and advising: Extensive involvement in policy design, including taxation reforms and pension fund advisement. No specific grants mentioned but active in multiple institutional collaborations. Labs/teams: Not explicitly mentioned, but collaborates widely with institutions like the Tinbergen Institute and CESifo.
Marynel Vázquez is an Assistant Professor in Yale University's Computer Science Department, leading the Yale Interactive Machines Group (IMG). Her research focuses on Human-Robot Interaction (HRI), particularly in multi-party settings, advancing perception and decision-making algorithms for socially aware robots. She holds a PhD from Carnegie Mellon University and previously worked at Stanford and Disney Research. Her research combines computer science, behavioral science, and design, emphasizing interdisciplinary approaches. Key projects include the social robots Chester and Shutter, and frameworks like SEAN-VR for evaluating robot navigation in virtual reality. Vázquez has received prestigious awards including the NSF CAREER Award (2022) and AFOSR YIP Award (2024). Teaching includes courses on interactive machines, robotics, and human-computer interaction. She actively mentors students and emphasizes ethical and socially responsible robotics development.
