Sarah Hernandez is an Associate Professor in the Civil Engineering Department at the University of Arkansas , specializing in transportation systems engineering. Her research focuses on advanced data collection and analysis for freight planning, and she teaches graduate courses in transportation planning and data analysis. Ph.D. in Civil and Environmental Engineering, University of California, Irvine M.S. in Civil Engineering, University of California, Irvine B.S. in Civil Engineering, University of Florida Her research integrates Intelligent Transportation Systems (ITS) technologies to address freight data gaps, including: Development of tools for freight performance measures Fusion of GPS, WIM, and lock performance data Weather impact on freight traffic Lidar-based truck classification Key trends in her publications include: Advancing sensor technologies for freight analytics Improving long-range infrastructure planning Addressing data gaps in commercial vehicle operations Enhancing freight network efficiency through modeling Scientific awards: Private Sector Applicability Award, TRB Intermodal Freight Committee (2018) As founder of the Freight Transportation Data Research Lab , she leads initiatives on unbiased freight planning and workforce diversity. Her outreach includes mentoring middle and elementary school STEM programs.
Prof. Dr. Heiner Rindermann is a Professor of Educational and Developmental Psychology at Chemnitz University of Technology (TUC). Affiliated with TUC's Institute of Psychology under the Behavioural and Social Sciences school, his work bridges educational practices and cognitive development. Academic Timeline: 1988-1993 Heidelberg RA, 1994-1999 LMU Munich RA, 1999-2007 Otto-von-Guericke-University Magdeburg RA, 2001 University of Graz visiting professor, 2003-2004 University of Kassel interim, 2004-2006 Saarland University interim, 2006-2007 Paderborn University interim, 2008-2010 University of Graz Professor, 2010-present TUC Professor. Educational Background: 1972-1985 Baden-Württemberg schools, 1986-1995 University of Heidelberg (PhD 1995), 2005 Landau habilitation. Research Interests focus on cognitive competence development , cross-cultural comparisons , intelligence-societal development links , kindergarten quality assessments , and international comparative studies . His work examines psychometric vs. Piagetian frameworks, emotional competence, and educational program evaluation. Academic Contributions include the William-Stern-Preis (2007) , APS Fellowship (2010) , and Mexican National Award of Giftedness (2016) . He serves on editorial boards for journals like Zeitschrift für Pädagogische Psychologie and Intelligence , and reviews for over 40 journals and institutions. Projects include BMBF-funded SoKonBe (external educational consultation using socio-cognitive conflicts) and international collaborations like the Study of Latin American Intelligence with Earl Hunt and Jelte Wicherts. His publications span books including Cognitive Capitalism (Cambridge University Press, 2018) and chapters in encyclopedias.
Aravind Machiry is an Assistant Professor at Purdue University's Electrical and Computer Engineering Department and a founding member of the Purdue Systems and Software Security (PurS3) Lab . His research focuses on system security, particularly vulnerability detection, prevention, and secure system development using static/dynamic program analysis, fuzzing, type systems, and machine learning. Designing practical solutions for software and embedded system security Recipient of NSF CAREER and Amazon Research awards Active participant in SPLASH 2025 as OOPSLA Review Committee member His recent work includes automated vulnerability detection in embedded software, spatial memory safety enhancements, and security analysis of GitHub workflows. He has received recognition for his research through multiple distinguished paper awards and industry funding. Selected scientific awards include NSF CAREER Award (2024) Amazon Research Award (2022) Test of Time Award at FSE 2023 for DynoDroid Distinguished Paper Award at OOPSLA 2022 for 3c Qualcomm Innovation Fellowship (2025) His research team has developed frameworks like ARGUS for taint analysis of CI/CD workflows and FuzzUEr for UEFI interface fuzzing, discovering hundreds of critical vulnerabilities in open-source projects and thousands of command injection flaws in GitHub repositories.
Fabian Ferrari is an Assistant Professor in Cultural AI at Utrecht University, working in the Department of Media and Culture Studies within the Humanities faculty. He is affiliated with the Centre for Digital Humanities and is a member of the focus area Governing the Digital Society . Previously, he served as a Postdoctoral Researcher (2022-2024) in the same focus area and was a Visiting Scholar (2021-2022) at the Milieux Institute for Arts, Culture and Technology in Montréal. Dr. Ferrari's research focuses on the intersection of artificial intelligence, digital platforms, and society. His work examines AI governance, algorithmic power, digital labor, and the infrastructural geographies of AI systems. He investigates how public investments in AI infrastructure can reconcile competitiveness with public value creation, particularly through his upcoming NWO-funded Veni project Conditional Computing: Reimagining the Governance of Public AI Infrastructure , which begins in January 2026. His publication record demonstrates significant scholarly impact, with articles in top journals including Nature Machine Intelligence , Cultural Studies , New Media & Society , Big Data & Society , and Competition & Change . He has also co-edited the open-access book Digital Work in the Planetary Market published by MIT Press. Ferrari's work is frequently cited and has influenced policy discussions, as evidenced by multiple policy citations across his publications. NWO Veni grant for research on public AI infrastructure Dr. Ferrari's research collaborations span multiple institutions and international teams. He has frequently co-authored with scholars including Mark Graham, José van Dijck, and Anne Helmond. His work bridges technical, social, and policy dimensions of AI systems, with particular attention to labor implications and governance frameworks. He is actively engaged in both academic and public discourse on AI's societal implications, contributing to progressive policy visions for generative AI.
Professor Ashish Sinha is a leading academic in Marketing at the UQ Business School, holding concurrent roles as Visiting Professor at the Indian School of Business and Research Fellow at the Hong Kong Polytechnic University. His career spans senior leadership in academia (e.g., Academic Dean of Executive Education at ISB, Interim Dean at UTS Business School) and industry (Vice President at IRI, Chicago). His research bridges theory and practice, focusing on digital transformation, AI-driven strategies, ESG impact analysis, and marketing analytics. He has pioneered frameworks for retail optimization, category management, and B2B innovation adoption, with over 30 journal articles in top-tier outlets like Journal of Marketing and Marketing Science . Research Impacts: Sinha’s work has transformed executive education programs (e.g., ISB’s #38-ranked custom programs) and driven research excellence at UTS. He is a serial entrepreneur, having founded two analytics firms acquired for their practical impact. His $240M Food Agility CRC participation highlights his role in agribusiness innovation. Awards include the Davidson Award and twice runner-up for the Gary Lilien Practice Award for applied marketing science. Key Research Themes: AI in Marketing, Digital Transformation, ESG Strategies, Consumer Sentiment Analysis Leadership Roles: Academic Dean (ISB), ADR (UTS), Head of Marketing (UNSW) Industry Experience: Analytics leadership at IRI, strategic consulting across sectors Grants/Partnerships: CI in Food Agility CRC ($240M), multiple ERA-recognized research collaborations. Advises on AI ethics, sustainable marketing, and global business strategy.
Professor Jyh-Hone Wang holds a faculty position in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island (URI). His research focuses on transportation human factors, driving safety, and intelligent transportation systems, with particular emphasis on variable message sign (VMS) design, driver behavior analysis, and automation technology acceptance in elderly drivers. He has conducted studies on dynamic message sign efficacy, traffic flow management, and roadway safety improvement strategies. Education: Ph.D. and M.S. in Industrial Engineering from the University of Iowa (1989 and 1986), and B.S. in Industrial Engineering from Tunghai University, Taiwan (1980). Recent grants include a 2020 National Institute for Undersea Vehicle Technology grant (Co-PI) on stress monitoring via wearable devices, and a 2017 Rhode Island Department of Transportation grant (PI) assessing sidewalk quality compliance. His work bridges engineering principles with human factors to enhance traffic safety and transportation efficiency. Key research contributions include optimizing VMS message design for clarity, analyzing driver responses to automation levels, and addressing tailgating issues through behavioral interventions. He has advised multiple graduate students and collaborated on interdisciplinary projects involving traffic data analysis and manufacturing process optimization.
Professor Dian Tjondronegoro is a leading academic at Griffith University's Department of Management within the Griffith Business School. He holds roles such as Acting Head of Department and Deputy Head (Research), and is affiliated with the Centre for Work, Organisation and Wellbeing, Griffith Asia Institute, and the Griffith Inclusive Future Beacon. His research focuses on AI ethics, eHealth systems, and digital governance, with over $9M in grants from bodies like the ARC and NHMRC. He has published 145+ peer-reviewed papers and leads initiatives like the 'Governing in the Digital Age' program. A Fellow of the Australian Computer Society and Senior Member of IEEE/ACM, he has won the Gold Disrupters Award (2019) and multiple teaching accolades. Education: PhD in Information Systems (Deakin University, 2005), BIS (QUT, 2001). Research Interests: AI, machine learning, healthcare innovation, responsible AI, workplace design, and digital economy strategies. His articles emphasize AI applications in healthcare monitoring, workplace productivity, and ethical surveillance. Recent work explores post-COVID workplace trends and AI-driven public health solutions. He advises on government policy and innovation through roles like Gold Coast Health's Digital Innovation Advisory Committee. His teaching includes courses on digital strategy and innovation management.
Yanbo Wang is an Associate Professor and Vice Head of the Wind Power Research Programme at AAU Energy, part of Aalborg University's Faculty of Engineering and Science. He leads research in Electric Power Systems and Microgrids, focusing on intelligent energy systems and flexible markets. His work emphasizes stability analysis, control strategies for hybrid AC/DC systems, and renewable energy integration. He supervises multiple PhD projects on topics like multi-port energy routers and wind power converter optimization. Research interests include power electronics, microgrid stability, and energy storage systems. Key projects include the EU-funded 'S3SF: Smart Energy Solutions for Sustainable Future' and machine learning-based control strategies for multi-energy systems. He has authored over 176 publications, with recent work on DC microgrid reliability, converter design, and offshore wind energy systems. His team collaborates internationally to advance grid-friendly technologies and smart energy solutions. Notable contributions include advanced control schemes for retired batteries in DC microgrids and stability assessment methodologies for offshore wind inverters. He advises on six PhD projects and maintains a lab focused on renewable energy systems and power electronics innovation.
Geoff Hollinger is a Professor in the Department of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University, and a Ron and Judy Adams Faculty Scholar. His research focuses on robotic decision-making, planning, and coordination for autonomous systems, particularly in underwater and multi-robot environments. He leads the Robotic Decision-Making Laboratory and has expertise in mission planning, control systems, and marine robotics. Dr. Hollinger holds a PhD in Robotics from Carnegie Mellon University (2010), an MS in Robotics (2007), and a BS in General Engineering and BA in Philosophy from Swarthmore College (2005). His work spans theoretical advancements and practical applications, including underwater docking systems, autonomous exploration, and soft robotics for hazardous environments. Research Interests: Autonomous underwater vehicle (AUV) systems and docking Multi-robot coordination and task assignment Probabilistic planning and decision-making Behavior trees and formal grammars for task planning Underwater manipulation and grasping Energy-efficient trajectory planning Key Achievements: Recipient of the 2017 ONR Young Investigator Award 2017 Celebrate Excellence Awards and Engelbrecht Young Faculty Award Developed frameworks like Angler for intervention tasks and Wave for underwater emulation Labs/Teams: Robotic Decision-Making Laboratory, Collaborative Robotics and Intelligent Systems Institute (CRIS).
Matti Tedre is a Professor at the School of Computing, Faculty of Science, Forestry and Technology, University of Eastern Finland. His research focuses on computer science education, ICT4D, social studies of computer science, and the history and philosophy of computer science. He leads the Technologies for Learning and Development research group and is involved in the Generation AI project (2022–2028), exploring AI education for security mindset development. His work bridges theory and practice, emphasizing educational technology, AI literacy, and participatory design. Recent projects include developing low-cost AI kits for novice learners and co-designing ML-driven apps with children. He collaborates globally on topics like K-12 computing education, data agency, and ethical AI integration in classrooms. Key contributions include studies on scaffolding in ML education, children’s understanding of algorithmic biases, and the role of generative AI in creative learning. His research also addresses challenges in Tanzanian ICT adoption, including financial management systems for informal groups and timetabling software for higher education institutions. Tedre’s interdisciplinary approach spans computer science, education, and sociology, with a focus on democratizing AI access and fostering critical digital literacy among youth and educators.
Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building
Thomas Poell is Senior Lecturer in the Department of Media Studies at the Faculty of Humanities, University of Amsterdam. His scholarly work sits at the intersection of digital media studies, platform studies, and political communication, with a focus on how digital platforms reshape public communication and cultural production. Poell's research interests primarily center on platformization processes and their societal implications. His influential work examines how digital platforms mediate public communication, with particular attention to protest movements, multilingual communication, and the transformation of cultural industries. He has made significant contributions to understanding the political economy of platforms, platform power dynamics, and the evolving relationship between platforms and public values. His methodological approach combines qualitative analysis of platform architectures with empirical studies of user practices across different cultural and linguistic contexts. Analysis of Poell's recent publications reveals a clear trajectory from studying social media's role in political movements to examining broader platformization processes. His work increasingly focuses on platform power across specialized domains including medical imaging, advertising ecosystems, and news industries. A consistent thread throughout his scholarship is examining how platform architectures shape communication practices and power relations, with growing attention to issues of visibility, governance, and equity in platformized environments. Poell has made significant contributions to the field through his co-authored book The Platform Society (2018), which established foundational concepts for understanding how digital platforms transform various sectors of society. He has also co-edited Global Cultures of Contestation (2017) and The Sage Handbook of Social Media (2018), demonstrating his leadership in synthesizing scholarly knowledge about digital media and platform dynamics. His influential article "Twitter as a multilingual space: The articulation of the Tunisian revolution" exemplifies his approach to studying platform-mediated communication during political upheavals. This work demonstrated how Twitter functioned as a global communication space during the Tunisian revolution, with different language communities articulating distinct accounts of the revolution while remaining interconnected through strategic language use by key activists.
Tracey-Lea Laba is an Adjunct Associate Professor at the Centre for Health Economics Research and Evaluation (CHERE) within the Faculty of Health at the University of Technology Sydney. As an NHMRC Early Career (Sidney Sax) Fellow and registered pharmacist, she brings extensive clinical experience to her academic work. Her research portfolio spans health economics, pharmacoepidemiology, medication utilization, and health policy with a focus on improving health outcomes for disadvantaged populations through better use of high-value medicines for non-communicable diseases. Dr. Laba received her PhD from The University of Sydney in 2014 and was a University Medallist for her Bachelor of Pharmacy (2004). Prior to joining UTS, she held positions as a senior research fellow at The George Institute for Global Health and the Menzies Centre for Health Policy, and completed an honorary postdoctoral fellowship at The University of British Columbia. Her clinical background includes hospital and community pharmacy practice as well as pharmaceutical industry experience. Her research interests focus on health economics, drug utilization and policy, clinical trial translation, and improving medication access for non-communicable diseases. Dr. Laba has secured significant funding for projects including the Centre of Research Excellence in Medicines Intelligence (2020-2025), the ORIENT study on rural access to reproductive health services (2020-2026), and research on medication utilization patterns in cancer care and cardiovascular disease management. An analysis of her recent publications reveals a consistent focus on practical healthcare implementation challenges, with particular attention to medication access, quality improvement in primary care, and health system strengthening. Her work spans both Australian healthcare contexts and global health applications, particularly in low-resource settings in South Asia. Among her notable professional recognitions, Dr. Laba is the first health economist elected to Asthma Australia's Professional Advisory Council and the first person outside the PBAC chair to serve on both the drug utilization and economics subcommittees of the Pharmaceutical Benefits Advisory Committee. Dr. Laba actively supervises Masters and PhD students and has received funding through the NHMRC Early Career Fellowship program. Her research has been supported by multiple grants from the Medical Research Future Fund and NHMRC totaling millions of dollars across various projects focused on medicines intelligence, rural healthcare access, and global health interventions.
Conan MacDougall, PharmD, MAS, BCPS, BCIDP, FIDSA serves as Professor of Clinical Pharmacy in the Department of Clinical Pharmacy at the University of California, San Francisco (UCSF) School of Pharmacy. He provides clinical service to the Infectious Diseases Consult Service at UCSF Medical Center and is actively involved in teaching pharmacy, medical, and nursing trainees at UCSF. Dr. MacDougall holds leadership positions including Chair of the Specialty Council on Infectious Diseases for the Board of Pharmaceutical Specialties and is a member of the School of Medicine's Academy of Medical Educators. Dr. MacDougall's educational background includes: MAS in Clinical Research from University of California, San Francisco (2008) PharmD from University of California, San Francisco (2002) BS in Chemistry from University of California, Davis (1998) Dr. MacDougall's research focuses on innovative approaches to antimicrobial stewardship, interactive learning methods for appropriate antimicrobial use, and the pharmacoepidemiology of antimicrobial utilization in hospitals. His work bridges clinical practice with educational innovation, particularly in developing effective instructional strategies for infectious diseases education. He has made significant contributions to understanding antibiotic resistance patterns, drug-drug interactions involving rifamycins, and the implementation of antimicrobial stewardship programs across healthcare settings. Analysis of Dr. MacDougall's most recent publications reveals a consistent focus on antimicrobial stewardship, infectious diseases education, and pharmacy practice. His research spans clinical investigations of antibiotic efficacy, educational interventions for healthcare professionals, and systematic reviews of drug interactions. Notably, his 2025 publications include important work on the role of infectious diseases pharmacists in antimicrobial stewardship and explorations of how artificial intelligence can support clinical decision-making in infectious diseases pharmacotherapy. Dr. MacDougall has received numerous prestigious awards recognizing his contributions to pharmacy and medical education: Fellow, Infectious Diseases Society of America (2025) Academic Senate Award for Distinction in Teaching, UCSF (2024) Vincent Pons Award for Clinical Infectious Diseases Education, UCSF School of Medicine (2019) Emerging Teaching Scholar Award, American Association of Colleges of Pharmacy (2018) Albert B. Prescott Pharmacy Leadership Award (2012) Multiple Long Prizes for Excellence in Teaching from UCSF School of Pharmacy (2006-2018) As an educator, Dr. MacDougall has twice received the Academic Senate Campus Award for Distinction in Teaching and has been recognized as an Emerging Teaching Scholar by the American Association of Colleges of Pharmacy. He serves as Antimicrobial Section Editor for Goodman & Gilman's The Pharmacological Basis of Therapeutics and is a chapter author in several major medical references including Principles and Practice of Infectious Diseases. His research has been consistently funded through various grants supporting investigations into antimicrobial utilization, educational interventions, and clinical outcomes related to infectious diseases management. Dr. MacDougall has supervised numerous pharmacy students and residents, contributing significantly to the training of future pharmacists specializing in infectious diseases. Dr. MacDougall is actively involved with the UCSF Infectious Diseases Management Program and collaborates with interdisciplinary teams across UCSF Medical Center. His work with the Infectious Diseases Society of America extends to curriculum development initiatives, including the Core Antimicrobial Stewardship Curriculum for Infectious Diseases Fellows. He also contributes to national efforts through his role on the Specialty Council on Infectious Diseases for the Board of Pharmaceutical Specialties, helping to shape certification standards for infectious diseases pharmacotherapy specialists.
Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.
