Rosental Alves is a Professor at the University of Texas at Austin's School of Journalism and Media, holding the Knight Chair in International Journalism. A former managing editor of Brazil's Jornal do Brasil , he founded the Knight Center for Journalism in the Americas. He earned a BA from Rio de Janeiro Federal University and was a Nieman Fellow at Harvard. His research explores international reporting, Latin American press freedom, digital journalism innovation, and media democratization. He created UT Austin's first online journalism course and advises global media organizations. Recent publications focus on journalist safety in Brazil, media innovation in Latin America, and digital transitions in news. Awards include the Nieman Fellowship and Knight Chair endowment. He leads training initiatives through the Knight Center, impacting thousands of journalists globally. No specific students or labs are detailed.
Rebecca Cheung serves as Associate Adjunct Professor and Assistant Dean of Leadership Development programs at UC Berkeley's Berkeley School of Education, directing the Principal Leadership Institute and LEAD EdD. As Principal Investigator for the California Department of Education-funded 21st Century School Leadership Academy (21CSLA), she leads statewide efforts to develop equitable learning environments through educational leadership. Her educational background includes an EdD in Educational Leadership from UC Berkeley (2008) and an MA in Educational Leadership from Mills College. Dr. Cheung's research centers on leadership preparation for equity and social justice, with emphasis on systems that nurture educator diversity. Her work explores: Leadership development frameworks for marginalized communities Policy mechanisms for increasing educator diversity Equity-focused practices in urban schooling contexts Intersection of data analysis and social justice leadership Her 2018-2022 publications reveal consistent focus on leaders of color, mentorship systems, and innovative assessment models for school leadership preparation. Key trends include cross-institutional collaboration methodologies and culturally responsive leadership frameworks. Scientific recognition includes: Emerging Leader by Phi Delta Kappan (2013) As PI for the 21CSLA State Center—a $15M+ initiative—the grant supports California's educational leaders across seven regional academies. Her advisory roles with California state education entities and EdPrepLab demonstrate significant policy influence. While specific doctoral advisees aren't listed, her LEAD EdD program leadership implies extensive mentorship of education professionals. She directs the 21CSLA consortium involving UCLA School of Education, California Subject Matter Projects, and regional academies, while leading Berkeley's Principal Leadership Institute that trains over 200 administrators annually.
Dr. Nusha Keyghobadi is a Professor in the Department of Biology at Western University, specializing in population genetics, conservation biology, and landscape ecology. Her research examines how landscape modification and climate change impact genetic diversity and spatial structure of populations, with a focus on butterflies and other insects. She leads a lab investigating alpine ecosystems, endangered species reintroduction (e.g., mottled duskywing), and the genetic resilience of populations under extreme weather conditions. Dr. Keyghobadi teaches courses in molecular ecology and environmental biology, and collaborates globally on conservation genetics projects. Her lab includes current students Aaya Aboulnaga, Laura Bax, and Evan Bennett, among others. Education details are not explicitly stated, but her extensive research history indicates advanced training in ecology. Her work integrates field studies, molecular techniques, and spatial analysis to address applied conservation challenges. She has supervised over 30 students, many of whom have advanced to postdoctoral positions or professional roles in conservation, medicine, and policy. Her lab's current projects include: 1) studying Rocky Mountain Apollo butterflies to assess climate impacts on alpine populations; 2) monitoring genetic diversity in reintroduced mottled duskywing populations; and 3) exploring edge effects and dispersal in fragmented landscapes. Collaborations span institutions like the Carolinian Canada Coalition and the Queensland Institute of Medical Research. Lab alumni have pursued diverse careers, including conservation biology, medical research, and policy roles. Dr. Keyghobadi emphasizes interdisciplinary training and ethical scientific practice.
Denghui Zhang is an Assistant Professor in the School of Business at Stevens Institute of Technology. His research focuses on data science, large language models (LLMs), and business analytics, with particular emphasis on applications in financial systems, knowledge graphs, and spatio-temporal prediction. He is a member of the Stevens Institute for Artificial Intelligence and has held academic roles including reviewer positions for prestigious journals like Nature Communications and conferences such as AAAI and SIGKDD. Dr. Zhang holds a PhD in Information Systems from Rutgers University (2023) and an MS in Computer Science from the University of Chinese Academy of Sciences (2018). His educational background bridges computer science and business analytics, enabling his cross-disciplinary research. His research explores cutting-edge topics like federated learning optimization for LLMs, theory-of-mind reasoning mechanisms, and ethical AI governance. Notable contributions include turbulence forecasting models, traffic prediction frameworks, and venture capital investment strategies leveraging reinforcement learning. Dr. Zhang has received prestigious recognitions including the ICIS 2023 Best Student Paper Award and AAAI-23 Student Scholar distinction. His work frequently addresses practical challenges in AI ethics, financial decision-making systems, and scalable machine learning architectures. He actively contributes to academic communities through program committee roles for top conferences and has pioneered novel methodologies in multi-agent financial systems and graph neural network design.
Dr. Jaan Pu is an Associate Professor at the University of Bradford, UK, affiliated with the School of BEACI within the Faculty of Engineering & Digital Technologies. He holds visiting scientist roles at Tsinghua University and Nanyang Technological University. His research focuses on numerical and experimental approaches to water engineering challenges, including sediment transport, turbulence modeling, and flood dynamics. Dr. Pu serves as Associate Editor for Frontiers in Environmental Science and Frontiers in Built Environment , and editorial roles in other journals. His work integrates computational tools (e.g., Delft3D, MATLAB) with experimental techniques (ADV, PIV) to study flows in rivers, coastal areas, and urban environments. Research interests include turbulence structures around bridge piers, scour reduction mechanisms, and environmental hydraulics. Teaching areas cover Water Engineering, Fluid Dynamics, and Mechanics. His publications span 73 works addressing topics from coral reef protection to sedimentation in rainwater systems. Professional activities include editorial board memberships, conference organizing, and peer review for high-impact journals.
Asad Raza is a Senior Lecturer in the Department of Computer Science at NJIT. With 13 years of teaching experience across four countries, he focuses on cybersecurity, network security, and related disciplines. He holds an M.S. in Information & Communication Systems Security from KTH Royal Institute of Technology (2009) and a B.S. in Software Engineering from the University of Engineering & Technology (2005). His expertise includes providing cybersecurity trainings to government, military, and private sectors, along with delivering courses such as Network Protocols Security and Introduction to Cybersecurity. He has published widely on topics ranging from blockchain oracle solutions to intrusion detection systems. Research interests encompass cybersecurity fundamentals, wireless sensor networks, and cyber-physical systems. Recent work addresses blockchain oracle vulnerabilities, risk management in industrial systems, and energy-efficient routing protocols. His contributions to forensic processes in virtualized environments and automated network security tools further highlight his interdisciplinary approach. Notable collaborations include industry partnerships for cybersecurity trainings and invited speaking roles at international conferences. While no specific grants or awards are listed, his active research and teaching reflect a commitment to advancing cybersecurity education and practice.
Marc Sánchez Artigas is an Associate Professor at Rovira i Virgili University, Department of Computer Engineering and Mathematics. He holds a PhD from Pompeu Fabra University (2009) and conducted postdoctoral research at EPFL (Switzerland). His research focuses on distributed computing, cloud storage systems, and serverless architectures. He leads the CloudLab research group and coordinates major EU projects like Horizon Europe's CloudSkin and H2020's IOStack. Education: PhD in Computer Science (2009), Pompeu Fabra University MSc in Computer Engineering (2004), Universitat Rovira i Virgili BSc in Computer Engineering (2002), Universitat Rovira i Virgili Research Interests: Distributed systems, cloud computing, software-defined storage, serverless computing, and privacy-preserving storage solutions. His work emphasizes scalable architectures, data management in heterogeneous environments, and optimizing cloud storage efficiency through novel algorithms and frameworks. Awards: Best Paper (IEEE LCN 2007), Best Dataset (ACM IMC 2015), Serra-Hunter Excellence Professorship, and multiple grants from EU and Spanish funding bodies. Grants & Projects: Coordinated over €5 million in projects including H2020 CloudButton (serverless analytics), FP7 CloudSpaces (personal clouds), and national initiatives like Software-Defined Edge Clouds. Active in coordinating IPCEI-CIS for cloud infrastructure. Teaching: Courses on distributed systems, parallel architectures, and cloud computing. Taught at Universitat Rovira i Virgili and Universitat Oberta de Catalunya.
Ria D. Corder is an Assistant Professor in the Department of Chemical and Biomolecular Engineering at the University of Tennessee, Knoxville, housed within the Tickle College of Engineering. Her research focuses on the rheological characterization of complex materials, including soft tissues, polymers, and nanocomposites, with applications in biomedical engineering, sustainable materials, and additive manufacturing. Education: BS and MS in Chemical Engineering, University of Alabama (2014) PhD in Chemical Engineering, North Carolina State University (2020) Lillian Gilbreth Postdoctoral Research Fellow at Purdue University College of Engineering (2021–2023) Research interests span rheological studies of biological tissues, enzyme-assisted biomass processing, and the design of functional materials for 3D printing. Her work integrates experimental techniques with data-driven modeling to understand and optimize material behavior under mechanical and chemical stimuli. Key areas include drug delivery systems, tumor mechanics, and ceramic-polymer composites. Publications reflect a focus on rheology-driven insights into material behavior, covering topics from thermosensitive drug carriers to nonlinear flows in industrial and biomedical contexts. Recent studies emphasize interdisciplinary applications, such as enzyme-mediated tissue digestion and additive manufacturing challenges in ceramics. Notable awards include the prestigious Lillian Gilbreth Postdoctoral Fellowship (2021–2023). While her advising record is not detailed here, her postdoctoral mentorship and collaborative projects suggest active involvement in training early-career researchers. She contributes to grants focused on sustainable biomaterials and advanced manufacturing technologies. No specific labs or research teams are explicitly mentioned, though her work aligns with UT’s initiatives in bioengineering and materials innovation.
Dr. William Fitzgerald is a Lecturer in Probability at The University of Manchester, focusing on probability theory and mathematical physics models. His research includes random growth models, interacting particle systems, and random matrices. He holds a PhD from the University of Warwick (2019) and previously served as a Postdoctoral Research Fellow at the University of Sussex (2019–2021). Research interests span determinantal/Pfaffian point processes, non-colliding stochastic processes, and Brownian motion applications. His work combines rigorous mathematical analysis with probabilistic models from physics. Recent articles explore polynuclear growth dynamics, ordered exponential random walks, and Fredholm Pfaffians in interacting systems. He actively supervises PhD students and currently offers funded projects in probability theory. No scientific awards are explicitly mentioned in the profile. Academic history includes postdoctoral research at Sussex University and doctoral training at Warwick. Collaborations with researchers like Denisov, Tribe, and Zaboronski are evident in co-authored works. His research bridges theoretical probability with applications in particle systems and random matrix theory.
Dr. Laura Parfrey is an Associate Professor in the Departments of Botany and Zoology at the University of British Columbia (UBC), Faculty of Science. She is affiliated with the Biodiversity Research Centre, where her research focuses on microbial ecology of eukaryotic microbes (protists) and their interactions with bacteria in marine and mammalian ecosystems. Her research spans two primary areas: (1) the gut microbiome of mammals, investigating the consequences of microbial diversity loss and (2) coastal ecosystems in British Columbia, studying microbial colonization of marine hosts (e.g., invertebrates, seaweed) and their impact on host and ecosystem health. The Parfrey Lab employs experimental and descriptive approaches to understand microbial community dynamics under environmental stressors like salinity changes and anthropogenic impacts. Key research trends in her articles include microbial responses to abiotic stress, disease dynamics in kelp/seagrass, and the interplay between prenatal alcohol exposure and immune/gut microbiota changes. Her work bridges marine and terrestrial microbiology, emphasizing ecological and evolutionary processes. Dr. Parfrey’s lab actively collaborates on projects such as the AFRIBIOTA initiative, addressing gut microbiome and health outcomes in African populations. While no awards are explicitly listed, her contributions to microbial diversity research are recognized through high-profile collaborations and publications. Advising and grants: No formal student advisees are listed, but the lab participates in training programs via the Biodiversity Research Centre. Grant details are not provided in the text. Labs/teams: The Parfrey Lab is based in the Department of Botany, UBC, and contributes to interdisciplinary projects at the Biodiversity Research Centre.
Professor Craig Franklin is a faculty member at the University of Queensland (UQ), serving as a Professor in the School of the Environment (Faculty of Science) and concurrently as President of the Academic Board. His research focuses on Conservation Physiology, investigating how fish, frogs, and reptiles respond to environmental changes, particularly climate-induced shifts. He employs interdisciplinary methods, including biotelemetry and genomic techniques, to study physiological and behavioral adaptations in ectotherms. Education: Bachelor (Honours) of Science (Advanced) and Doctor of Philosophy from the University of Canterbury. Research Interests: Climate change impacts on ectotherms, physiological responses to environmental stressors (e.g., UV radiation, temperature), and conservation strategies for threatened species. Collaborations include Australia Zoo and NSW Fisheries. He leads the Franklin Eco-Laboratory, which emphasizes training in ecological and evolutionary physiology. Grants and Funding: Supported by the Australian Research Council (ARC) and the National Environmental Science Program (NESP). His work addresses applied conservation challenges, such as mitigating dam-related cold water pollution and assessing wildfire impacts on aquatic systems. Labs/Teams: Franklin Eco-Laboratory at UQ, focusing on integrative physiology and conservation biology.
Hiram Beltrán-Sánchez is a Professor in the Department of Community Health Sciences and Sociology at the University of California, Los Angeles (UCLA). He serves as the Associate Director of the UCLA California Center for Population Research (CCPR) and co-directs the CCPR’s T32 training grant. His research and academic leadership roles focus on advancing population studies and health demography. Dr. Beltrán-Sánchez holds a PhD and MA in Demography from the University of Pennsylvania, an MS in Mathematics from Northern Arizona University, and a BS in Actuarial Sciences from the National Autonomous University of Mexico (UNAM). His research interests center on the demography of health and aging, particularly in Latin American countries. He explores biodemographic patterns of health in adults, including how early life experiences influence later health outcomes, and develops demographic and statistical methods to study mortality models and health inequities. His work integrates biomarker data from Mexico to analyze physiological health in relation to sociodemographic factors, addressing global health challenges and health equity through interdisciplinary approaches. Recent articles highlight his focus on biological age modeling, the feasibility of life extension, historical mortality trends, and the long-term effects of early life adversity. These publications span journals in demography, epidemiology, and public health, emphasizing methodological innovation and global health applications. 2018 Early Achievement Award, Population Association of America In advising and grant work, he co-founded the Latin American Mortality Database with Prof. Alberto Palloni and Dr. Guido Pinto Aguirre, a groundbreaking repository covering 19 countries since 1850. He has collaborated widely in México, Brazil, Germany, and Sweden. His career includes roles as a David E. Bell Fellow at Harvard (2011-2013) and a Postdoctoral Fellow at USC (2009-2011) before joining UCLA in 2015. He is affiliated with key research centers including the UCLA California Center for Population Research (CCPR), the USC|UCLA Center on Biodemography and Population Health, and contributes to the Latin American Mortality Database initiative.
Dr Colin Allison is an Honorary Research Professor at the University of St Andrews' School of Computer Science, specializing in Multi-User Virtual Worlds (Metaverses), Distributed Systems, Computer Networks, and Quality of Service (QoS). He holds a PhD in Computer Science from the University of St Andrews, an M.Sc. in Computing from the University of Dundee, and an M.A. in Sociology from the University of Edinburgh. His research focuses on immersive learning environments, virtual world infrastructure, and educational technologies. Notable projects include leading the Immersive Learning Research Network (iLRN), managing Open Virtual Worlds initiatives, and investigating Quality of Service in distributed systems. Dr. Allison has organized international conferences and published extensively on virtual reality applications in education and cultural heritage. Key contributions include advancing scalable learning environments like Finesse, exploring video fingerprinting for digital asset management, and investigating covert channels in internet protocols. He has collaborated on interdisciplinary projects such as LAVA (virtual archaeology) and the Global Smart Spaces initiative. Dr. Allison has secured grants for projects like the European Learning Grid Infrastructure (ELeGI) and has served as Principal Investigator for initiatives such as Interface and the Scottish Metropolis Area Networks project. His work bridges academic research with practical applications in education, technology, and heritage preservation. He has advised on multiple research projects and has been a keynote speaker at conferences on internet security, immersive education, and virtual worlds.
Professor Peter Chin is a Professor of Engineering at Dartmouth College and Director of the Learning, Intelligence + Signal Processing (LISP) Lab. He holds affiliations with the Thayer School of Engineering and serves as Associate Editor of IEEE Transactions on Computational Social Systems. His research bridges signal processing, machine learning, game theory, and differential geometry, with applications in cybersecurity, healthcare, and network analysis. Education: Bachelor of Science in Electrical Engineering, Computer Science, and Mathematics from Duke University (1993) Doctor of Philosophy in Mathematics from MIT (1998) Research Interests: Chin’s work focuses on fundamental questions at the intersection of machine learning, game theory, and signal processing. His lab explores topics like adversarial defense mechanisms, topological machine learning, and computational neuroscience. Recent projects include cybersecurity resilience modeling, medical imaging enhancements via GANs, and multi-agent reinforcement learning frameworks. Publications Trends: His most recent articles address cutting-edge challenges in cybersecurity (e.g., autonomous defense systems), medical AI (e.g., Alzheimer’s classification), and adversarial robustness. A notable 2025 focus is on quantitative resilience modeling for cyber defense, reflecting growing demand for AI-driven security solutions. Awards: Faculty Scholar Award, Duke University George Sherred III Award, Duke University Julia Dale Memorial Award, Duke University Grants & Leadership: Recipient of DARPA cybersecurity research grants Co-chair for SPIE/DSS Cyber Sensing Conference (2013–2020) Developed novel compressive sensing microscope for biological imaging LISP Lab: This interdisciplinary lab pioneers projects like nFlip (multiplayer security game models) and topological machine learning frameworks, emphasizing practical applications of theoretical advancements.
Eman Abdulla is an Assistant Professor in Economics at the University of Warwick, specializing in applied labour economics and macroeconomics. Her research focuses on the Future of Work, climate change impacts on labour markets, and Middle Eastern economic dynamics. She holds a PhD from the University of Manchester (2019) under Dr. Matias Cortes and Prof. Martyn Andrews. Teaching roles include leading the Personal Development Module and lecturing in Macroeconomics (EC 956) and Economics of Money and Banking (EC 230). She has received multiple awards for teaching excellence, including nominations for the Warwick Award for Personal Tutoring and supervision of award-winning dissertations. Her students have won Global Undergraduate Awards and prestigious UAE Moonshot Apprenticeships. Administrative roles include co-organizing Warwick Economics Lectures and advising female students. She has completed policy trainings at the Institute for Government and International Monetary Fund (IMF). Current research collaborations involve institutions like the IMF and ILO. Education: PhD Economics, University of Manchester (2019) Research Themes: Labour productivity, unemployment dynamics, climate change policy, Middle Eastern economies Policy Engagement: Upcoming IMF training (2025), UK Parliament policy workshops
