Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).
Dr. Madhushi Bandara is a Lecturer at the School of Computer Science, University of Technology Sydney (UTS), specializing in knowledge representation, complex system modeling, and data analytics. She leads the data management research stream at the UTS DigiSAS lab and is a core member of the Biomedical Data Science Laboratory within the UTS Australian Artificial Intelligence Institute. Her industry collaborations include Telstra, Cancer Australia, and Capsifi, focusing on AI integration in healthcare and finance. She coordinates the Business Information Systems major in UTS's Master of Information Technology program and convenes the Future Generation Enterprise Architecture Community of Practice. Education PhD in AI Systems Engineering, University of New South Wales (2020) BSc (Hons) in Engineering, University of Moratuwa, Sri Lanka (2015) Research Interests Madhushi's work bridges machine learning, knowledge graphs, and enterprise architecture to address challenges in data governance for SMEs, ESG metric management, and healthcare pathway analysis. Her research emphasizes translating cutting-edge AI into industry solutions through contextual domain knowledge integration. Scientific Awards UNSW-UTS Trustworthy Digital Society Scholarship Teaching & Leadership She teaches enterprise information systems, digital strategy, and AI for enterprises in UTS's online postgraduate programs. Her service roles include co-chairing tracks at the Australasian Conference on Information Systems and reviewing for Expert Systems with Applications.
Jeffrey R. Gruen is Professor of Pediatrics (Neonatology) and of Genetics at Yale School of Medicine, and a faculty member in the Investigative Medicine Program at Yale Graduate School of Arts and Sciences. His research is affiliated with multiple centers including the Yale Center for Genomic Health, Wu Tsai Institute, and the Yale Child Health Research Center. Professor of Pediatrics (Neonatology), Yale School of Medicine Professor of Genetics, Yale School of Medicine Member, Investigative Medicine Program, Yale Graduate School Principal Investigator, Gruen Lab Education: MD, Tulane University, 1981 BS in Chemistry, Tulane University, 1977 Residency in Pediatrics, Yale-New Haven Hospital, 1984 Internship in Pediatrics, Yale-New Haven Hospital, 1982 Dr. Gruen's research centers on the genetic and molecular basis of dyslexia and language impairments. His lab pioneered the mapping of the DYX2 locus on chromosome 6 and discovered the DCDC2 gene, a major contributor to reading disability. His team identified READ1, a transcriptional control element that modulates risk for dyslexia, and demonstrated synergistic interactions between genetic variants in DCDC2 and KIAA0319 . His work integrates human genetics, molecular biology, and neuroimaging to understand the biological mechanisms underlying learning disabilities. He leads the Yale Genes, Reading and Dyslexia (GRaD) Study and the New Haven Lexinome Project, aiming to enable early diagnosis and personalized educational interventions. The recent publications reflect a strong trend in integrating genetic data with cognitive, behavioral, and educational assessments. Key themes include genome-wide association studies of dyslexia, gene-environment interactions (particularly involving phonological awareness and home environment), phenotype harmonization across cohorts, and the application of genetic findings to educational policy and practice. Imaging genetics and the study of comorbid conditions like Sluggish Cognitive Tempo are also prominent. Scientific Awards: Innovative Research Award, Kavli Institute, 2022 Dr. Gruen has served as Principal Investigator on numerous NIH-funded studies, including the GRaD Study, the Pediatric Imaging NeuroGenetics (PING) Study at Yale, and the New Haven Lexinome Project. He mentors a broad network of collaborators across institutions such as the University of Colorado, University of Bristol, and Johns Hopkins. His lab trains researchers in human genetics, molecular techniques, and cognitive phenotyping. He leads the Gruen Lab, which focuses on human genetic studies, molecular genetic mechanisms, imaging genetics, and longitudinal intervention studies. The lab collaborates extensively with national and international research centers and utilizes advanced techniques including GWAS, sequencing, chromatin immunoprecipitation, and MRI-based phenotyping.
Silvio Inzucchi, MD , is Professor of Medicine (Endocrinology) at Yale University School of Medicine , where he serves as Clinical Chief of the Section of Endocrinology, Medical Director of the Yale Diabetes Center, and Program Director of the Endocrinology & Metabolism Fellowship. He is a leading expert in diabetes management, with a focus on pharmacological therapies and cardiovascular outcomes. Education: BS, Fordham University (1981) MD, Harvard Medical School (1985) Residency, Internal Medicine, Yale-New Haven Hospital Fellowship, Endocrinology and Metabolism, Yale-New Haven Hospital Dr. Inzucchi’s research centers on clinical diabetes management , particularly pharmacological antihyperglycemic therapy and the cardiovascular complications of type 2 diabetes and insulin resistance . His work bridges clinical practice and large-scale trials, aiming to improve patient outcomes through evidence-based strategies. He has been instrumental in shaping national and international guidelines, including co-chairing the 2012 and 2015 ADA-EASD Position Statements on Hyperglycemia in Type 2 Diabetes. His recent publications reflect a strong trend in cardiovascular and renal outcomes of diabetes medications, especially SGLT2 inhibitors and GLP-1 receptor agonists. These studies, published in top journals like Circulation , JAMA Cardiology , and Diabetes Care , often involve meta-analyses of major trials such as SOUL, DAPA-HF, and DELIVER, highlighting the real-world impact of these therapies on heart failure, kidney function, and quality of life. Scientific Awards and Recognition: David J. Leffell Prize for Clinical Excellence, Yale University Named 'Top Doctor' by local and national rankings Dr. Inzucchi is actively involved in clinical mentoring and education as Fellowship Program Director and through his academic clinical practice. He has led and participated in numerous federally and industry-funded clinical trials , contributing to the advancement of diabetes therapeutics. His work is supported by affiliations with the Yale Diabetes Center , Diabetes Research Center , and Yale Center for Clinical Investigation (YCCI) . He is a frequent national and international speaker on diabetes management and has served on editorial boards for Diabetes Care and the Journal of Clinical Endocrinology and Metabolism .
Shannon F.R. Small, MD, is an Assistant Professor in the Department of Surgery at Yale School of Medicine, specializing in General Surgery, Trauma, and Surgical Critical Care. She practices at Yale Medicine and provides comprehensive surgical care ranging from trauma and emergency cases to elective and robotic procedures. Institution: Yale University School: Yale School of Medicine Department: Department of Surgery Academic Rank: Assistant Professor Email: shannon.small@yale.edu Dr. Small's research and clinical work focus on improving patient outcomes through advanced surgical techniques, particularly in trauma and critical care settings. She has a strong interest in pain management for rib fractures and expanding access to surgical care. Her work integrates robotic surgery to enhance precision and recovery in procedures such as gallbladder removal, hernia repair, and bowel perforations. Her recent publications highlight expertise in minimally invasive and robotic surgery, pediatric surgical conditions, and trauma care protocols. Themes across her research include innovation in surgical technique, global health applications, and evidence-based implementation of clinical guidelines. Scientific Awards: No awards listed in the provided text. Dr. Small is actively involved in mentoring future surgeons and promoting inclusive excellence in medicine. She emphasizes compassionate, equitable care guided by the principle of treating patients as she would her own family. She is board certified in General Surgery and Surgical Critical Care by the American Board of Surgery (2017) and maintains an active clinical and academic role at Yale. Labs and Teams: No specific lab affiliations mentioned. Active participant in the Department of Surgery’s trauma and critical care team at Yale School of Medicine.
Dr. Joel Williams is an Associate Professor in the Department of Public Health Sciences at Clemson University's College of Behavioral, Social and Health Sciences. His academic foundation includes a Ph.D. in Public Health (University of South Carolina, 2004), MPH (2001), Graduate Certificate in Applied Statistics (2008), and B.S. in Exercise Studies (Lander University, 1996). With clinical experience in sports medicine and hospital settings, Dr. Williams specializes in implementing and evaluating health promotion programs. His research examines obesity prevention, chronic disease management, and mobile health technology applications. Primary interests include: Community-based interventions for physical activity and nutrition Pediatric and population health behavior change Telemedicine solutions for chronic conditions Methodological approaches to program evaluation Dr. Williams' recent publications (2017-2022) demonstrate consistent focus on diabetes management, mobile health innovations, pediatric health, and epidemiological studies. His work frequently employs multidisciplinary approaches across public health, clinical medicine, and digital technology domains. Honors include: Clemson University School of Health Research Scholar (2017) Institute for Advancement of Health Care Faculty Fellow (2015) Clemson University Service Alliance Faculty Fellow (2008) He has advised 21 graduate students as primary or co-advisor, with mentees contributing to research on pediatric asthma, diabetes, nutrition, and telemedicine. His externally funded research portfolio includes projects supported by CDC, NIH (NCI, NHLBI, NICHD), DoD, USDA, and HRSA. Dr. Williams leads interdisciplinary teams for community and clinical trials, frequently collaborating with medical institutions and public health agencies. His research emphasizes practical applications of mobile technology for chronic disease self-management in diverse populations.
Bruce Saxman is a Senior Lecturer in Adventure Education at Fort Lewis College, where he coordinates the interdisciplinary Fort Lewis on the Water (FLOW) program. With over two decades of experience in outdoor education, he has held administrative and teaching roles at multiple institutions, developing competency-based training systems and adventure curriculum. Education: M.A. in Recreation Administration, University of Nebraska-Omaha B.S. in Parks, Recreation, and Tourism Management (Resource Management Emphasis) with Anthropology Minor, Clemson University Research Interests focus on outdoor education methodology , adventure program administration , and experiential learning systems . His work explores digital education platforms, risk management protocols, and leadership development frameworks in outdoor settings. Professional Affiliations include the American Institute for Avalanche Research and Education (AIARE), American Canoe Association (ACA), and American Mountain Guides Association (AMGA). His publications address technical training systems, program development, and safety innovations in adventure education.
Sean Robson is a Professor of Policy Analysis at the RAND School of Public Policy and a Senior Behavioral/Social Scientist at the RAND Corporation. He serves as Associate Director of the Workforce, Development, and Health Program within RAND Project AIR FORCE, where he leads research on manpower, personnel, training, and readiness issues for the U.S. military. Robson holds a Ph.D. in industrial-organizational psychology from the University of Tulsa and a B.S. from James Madison University. His research expertise lies in the scientific validation of assessment and selection systems, physical and psychological fitness standards, and workforce development in military contexts. His research interests span military education and training, operational readiness, gender integration in the military, workforce diversity, enlisted personnel management, leadership, and competency modeling. He has led numerous projects to establish evidence-based physical fitness tests for Air Force Special Warfare and combat specialties in the Army, and has contributed to reforms in recruiting, classification, and resilience programs. Recent publications highlight a strong trend in applying data science, machine learning, and policy analysis to improve human resource management in the Air Force and Department of Defense. His work increasingly integrates artificial intelligence and optimization models to modernize workforce systems, while maintaining a core focus on human performance, resilience, and readiness. Assessment and selection for special operations Physical and behavioral fitness standards Military workforce development Machine learning in HR STEM talent in defense Robson has made significant contributions through RAND’s research portfolio, with over 37 research publications and multiple expert insights. His scientific work informs high-level defense policy and operational practices, particularly in the U.S. Air Force and Army. He has also advised on diversity initiatives, abuse prevention in training, and energy-sector workforce development. He is actively involved in current defense research, with recent and forthcoming publications in 2024 and 2025, indicating ongoing leadership and scholarly impact. He is based at RAND and can be contacted at Sean_Robson@rand.org.
Zhe Hou is a Senior Lecturer at the School of Information and Communication Technology , Griffith University, Australia. His academic journey includes a PhD in automated reasoning for separation logic from the Australian National University (2015) and prior research roles at Nanyang Technological University, Singapore (2015-2017). He joined Griffith University in 2017 and became permanent faculty in late 2019. Research Interests : Formal methods for software verification Automated reasoning with logical frameworks Blockchain technology and security Quantum computing verification Integration of LLMs with rigorous reasoning Sports analytics via model checking Recent Publications demonstrate expertise in neural-symbolic reasoning, blockchain security, quantum SAT solvers, and runtime verification frameworks. His work combines formal logic with machine learning for applications in cybersecurity and AI trustworthiness. Scientific Awards : ACM SIGSOFT Distinguished Paper Award (2025) Supervision Roles : Principal/Associate Supervisor for 6+ doctoral projects in blockchain security, AI verification, and network security. Professional Activities : Editor for Springer-Nature and Formal Aspects of Computing special issues, conference chair for ICFEM, ICECCS, and ISACE symposia.
Ehsan Samei is the Reed and Martha Rice Distinguished Professor of Radiology at Duke University. He holds concurrent professorships in Medical Physics, Biomedical Engineering, Physics, and Electrical and Computer Engineering. His leadership roles include Chief Imaging Physicist at Duke University Health System, Director of the Carl E. Ravin Advanced Imaging Laboratories, and Director of the Center for Virtual Imaging Trials (CVIT). Education: University of Michigan (PhD, 1997; MEng, 1995) Key Appointments: Radiology (Clinical Science Departments), Biomedical Engineering (Pratt School of Engineering), Physics (Trinity College of Arts & Sciences) Dr. Samei's research bridges medical imaging physics with clinical applications. His work focuses on photon-counting CT technology, virtual imaging trials, and AI-driven harmonization of CT images. He develops computational models for organ dosimetry, disease quantification, and procedural optimization in radiology. Recent publications emphasize virtual imaging trials for evaluating CT technologies, radiation dose reduction strategies, and AI integration in medical imaging. His studies compare photon-counting CT with conventional systems for lung density, liver lesion detection, and cardiac imaging, while advancing radiomics and dose monitoring frameworks. Scientific Awards Fellow of AAPM (FAAPM) Fellow of SPIE (FSPIE) Fellow of AIMBE (FAIMBE) Fellow of IOMP (FIOMP) Fellow of ACR (FACR) President of AAPM (2023) President of SDAMPP (2010-2011) Dr. Samei has secured major grants from NIH, NCI, and industry partners like GE Healthcare and Siemens. He leads the Center for Virtual Imaging Trials and directs multiple residency training programs in medical physics. His laboratory develops simulation toolkits, 3D-printed phantoms, and dose analytics platforms.
Dr. Liza Rovniak is an Associate Professor at Penn State University's College of Medicine , with dual appointments in the Department of Medicine and Department of Public Health Sciences . Her work focuses on creating sustainable environments for health behavior change across diverse settings like workplaces, healthcare facilities, and neighborhoods. MPH - San Diego State University (2008) PhD - Virginia Tech (2003) BA - McGill University (1996) Research spans physical activity promotion , healthy eating interventions , and policy development using ecological frameworks. Key projects include: NIH-funded clinical trials PCORI-supported population health studies WalkLink email-based walking program SilverSneakers osteoarthritis intervention Her work contributes to UN Sustainable Development Goals related to health and well-being, with significant collaborations in transport policy and community health . Scientific recognition includes: Excellence in Research Award (2014) Scholarship in Education Award (2015)
Catherine M. Brooks is a Professor at Creighton University School of Law, where she has served since joining the faculty in 1990 as an Associate Professor and earning tenure and promotion to full Professor by 1995. She designs and develops family law courses and innovative skills curricula for child advocacy, client counseling, and cultural competence, directing the certificate program in family law studies while coaching student teams to regional and national finalist positions in legal competitions. Her commitment extends beyond graduation as law alumni routinely consult her on complex family law matters including adoption, juvenile delinquency, and custody disputes. Her academic credentials include a BA ( in cursu honorum , summa cum laude ) and MA from Fordham University (1977), and a JD from the University of Virginia (1980). She holds membership in prestigious honor societies Phi Beta Kappa, Alpha Sigma Nu, and Phi Delta Phi, and is licensed by the American Bar Association, Pennsylvania Bar (state and federal), and Omaha Bar Association. Brooks' research centers on the legal treatment of vulnerable populations, with rigorous scholarship addressing justice rights of Native American children, equal access rights for children of LGBTQ+ parents, dignity rights of maltreated minors, and minors' refusal of medical treatment. She integrates social justice frameworks into legal pedagogy, emphasizing culturally competent lawyering and systemic reform for marginalized groups. Her work bridges theoretical analysis with practical application, notably through mediation advocacy and child welfare policy critiques. Publication trends reveal sustained focus on family law and children's rights since the 1990s, evolving from foundational juvenile court manuals to contemporary analyses of bankruptcy practice and bioethics. Recurring themes include inter-jurisdictional adoption conflicts, child sexual abuse in custody cases, and due process in institutional governance. Recent works prioritize skill-building resources for practitioners, reflecting her dedication to translating academic rigor into real-world legal solutions. Her accolades encompass professional recognition and academic honors: Ten Outstanding Young Omahans (1994) Phi Beta Kappa membership Alpha Sigma Nu membership Phi Delta Phi membership Brooks actively mentors students through skills competitions and alumnus consultations while securing nearly $500,000 in federal grants for a legal clinic and African American law student scholarships. She provides pro bono support to child welfare agencies and serves on the Creighton Inn of Court to guide new lawyers. Her grant work specifically targets equity in legal education and clinic-based child advocacy. She leads critical institutional initiatives as Chair of the University Committee on Rank & Tenure, creating comprehensive web resources (https://www.creighton.edu/provost/tenure-and-promotion), workshops for evaluators, and revisions to the Faculty Handbook. Previously, she created the Children's Rights Clinic at Seton Hall Law School and served as Assistant Deputy Public Defender in New Jersey, representing children in abuse cases for the Law Guardian Program.
Jennifer Shang is a Professor of Business Administration and Area Director for Business Analytics and Operations at the Katz Graduate School of Business , University of Pittsburgh. With a focus on healthcare analytics, operations management, and e-commerce, she applies data-driven methodologies to enhance patient care, hospital efficiency, and business productivity. Education: PhD in Operations Management, University of Texas at Austin MBA, University of Iowa Bachelor of International Business, National Taiwan University Her research integrates multi-criteria decision-making techniques (e.g., AHP/ANP, DEA) and combines human judgment with quantitative data to improve organizational outcomes. She has published over 140 papers, with recent trends emphasizing healthcare analytics, big data applications, and supply chain optimization in service industries. Scientific Awards: Distinguished Professor for EMBA class 32 (2004-2005) Excellence in Teaching Award for MBA program (2002-2004, 2009-2010) Excellence in Research Awards (2013-2015, 2017-2020, 2021-2022) Best Paper Award (2010) in Information Systems Research Professor Shang teaches courses in operations management, supply chain, statistical analysis, and multivariate data analysis at undergraduate, MBA, EMBA, DBA, and PhD levels. She serves on editorial boards for journals including International Journal of Revenue Management and International Journal of Productivity and Quality Management .
Professor Tony Jan leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University Australia's Design and Creative Technology school. He holds a PhD in Computing Science from the University of Technology Sydney (2004) and a Bachelor of Engineering from the University of Western Australia (1999). His research focuses on federated machine learning for IoT security, ensembled machine learning for real-time applications, cognitive machines for human-centric computing, and smart sensor networks for healthcare and security. He has secured ARC grants and industry partnerships with NVIDIA, IBM, and Microsoft. Awards include the 2024 SEI Global Academic Excellence Award and the 2023 Torrens University Excellence Award. Research collaborations span global partners, with contributions to UN Sustainable Development Goals in education and industry. His work bridges academia and industry, expanding AI program enrollments by 2,000+ students and enhancing student satisfaction by 15%. He advises PhD students on topics like IIoT cybersecurity and smart cities, and has produced over 97 publications since 1999. Education: PhD (UTS, 2004), BEng (UWA, 1999) Research Themes: AI for Industry 5.0, Cybersecurity, Smart Cities, Healthcare Technology Key Partnerships: NVIDIA, CIMIC, Palo Alto Networks Recent Projects: Federated learning for health IoT, drone vision intelligence, ransomware detection His work emphasizes ethical AI adoption in design and healthcare, with publications exploring AI ethics, generative AI applications, and sustainable technology integration.
Dr. Alison Beck is a Postdoctoral Research Fellow and Clinical Psychologist at the School of Psychology, University of Wollongong , where she works on improving psychosocial interventions for addictive behaviors and mental health conditions. Email: alison_beck@uow.edu.au Certifications: Fellow of the College of Clinical Psychologists (Australian Psychological Society), Registered Psychologist (Clinical Practice) Research Focus: Her work emphasizes: Addiction recovery programs (SMART Recovery) Mental health interventions for substance users Family and peer support systems Implementation science in behavioral health Rural health disparities Digital mental health platforms Key Publications: Recent work covers gender differences in opioid treatment, virtual support groups, methamphetamine addiction interventions, and long-term cancer patient outcomes. Scientific Involvement: She serves on the MRFF Alcohol and Other Drugs Grant Assessment Committee and the AH&MRC Ethics Committee. Supervision: Currently supervises PhD projects on: Social identity changes in residential treatment Family experiences in addiction care Women's opioid treatment journeys
