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Thivya KANDAPPUView profile

Assistant Professor

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Human-Computer Interaction
• +6 more

Thivya KANDAPPU is an Assistant Professor at the School of Computing and Information Systems, Singapore Management University (SMU). Her research focuses on mobile and wearable computing systems for human cognition monitoring, memory modeling, and technology-enhanced learning. Education: PhD in Computer Science, University of New South Wales (2014) Research Interests span: Human-Centric Wearable Systems Cognitive State Analysis Event-Based Vision & Sensing Privacy in Pervasive Systems Health & Wellbeing Applications Smart City Mobility Analytics Selected Publications demonstrate expertise in eye tracking, cognitive monitoring, and privacy-preserving wearables, with recent work appearing in NeurIPS and ACM IMWUT. Research Grants include projects funded by MOE and A*STAR on cognitive dynamics, privacy-aware systems, and multimodal travel analytics. Professional Service involves organizing AutoMLPerSys 2025, and serving on TPCs for ACM MobiSys 25, IEEE PerCom 25, and ICDCN 25.

Heather GunnView profile

Associate Professor

• Sleep Health
• Social Determinants of Sleep
• Sleep in Dyads
• +3 more

Dr. Heather Gunn is an Associate Professor in the Department of Psychology at the University of Alabama's College of Arts & Sciences. She directs research on social determinants of sleep health, with particular focus on dyadic sleep patterns, adolescent development, and cardiovascular outcomes. Her NIH-funded work includes studies on school start times and family sleep dynamics. Education includes: PhD in Clinical Health Psychology, University of Utah Clinical Internship, Rush University Medical Center Postdoctoral Fellowship, University of Pittsburgh Research examines how interpersonal relationships and socioeconomic factors influence sleep architecture across developmental stages. Current projects investigate school start time impacts on adolescents and family systems, sleep-cardiovascular pathways, and rural health disparities. Research Publications: Her extensive publication record demonstrates consistent focus on dyadic sleep concordance, family influences on sleep architecture, and socioeconomic determinants of sleep health. Recent work develops novel measurement tools for couple sleep dynamics. Leads the Behavioral Sleep Medicine Training Program and teaches courses in Behavioral Medicine, Sleep Science, and graduate practicum supervision. Collaborates across campus on sleep research in athletic and geriatric populations.

• 5G/6G Physical Layer signal processing algorithms
• Machine Learning techniques for Physical Layer signal processing
• Ultra-Reliable Low-Latency Communications
• +5 more

Dr. Beeshanga Abewardana Jayawickrama is a Senior Lecturer and Data Science Engineering Course Director at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a BEng in Telecommunications Engineering (Hons I) and a PhD in Electronic Engineering (Wireless Communications) from Macquarie University, Sydney, Australia, completed in 2011 and 2015 respectively. As a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), he maintains active research and industry collaborations. His educational background includes: BEng in Telecommunications Engineering (Hons I), Macquarie University (2011) PhD in Electronic Engineering (Wireless Communications), Macquarie University (2015) Dr. Jayawickrama's research focuses on cutting-edge wireless communication technologies with particular emphasis on 5G/6G Physical Layer signal processing algorithms, Machine Learning techniques for Physical Layer signal processing, Ultra-Reliable Low-Latency Communications, Non-Terrestrial Networks, Compressed Sensing (Sub-Nyquist Sampling), and spectrum sharing. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and industry collaborations. He has published over 40 prestigious conference and journal papers while developing algorithms that have been incorporated into commercial 5G base stations. Analysis of his recent publications reveals a strong focus on satellite communications, particularly cognitive GEO-LEO satellite networks, where he explores spectrum sharing, beam design, and interference management. His research increasingly integrates machine learning techniques with traditional signal processing approaches, especially for spectrum sensing and channel estimation in next-generation wireless systems. The trend shows growing emphasis on practical implementation and experimental validation of theoretical concepts. His scientific recognition includes: Macquarie University Medal in Engineering Vice-Chancellor's Commendation for Academic Excellence Outstanding Teacher Award (2021) Multiple competitive scholarships from Macquarie University and CSIRO In terms of teaching and supervision, Dr. Jayawickrama has taught numerous undergraduate and postgraduate subjects including Advanced Telecommunication Engineering, 4G/5G Mobile Technologies, Communication Systems, and Engineering Research Thesis. His current research is supported by significant grants including the AI-SSPCAS project (CSIRO), Smart Flood and Storm Intelligence Sensing Initiative (NSW Department), and CogSat: Cognitive Satellite Radio (SmartSat CRC). Previously, he has secured research funding from Intel Corporation and Nokia Research Centre. Dr. Jayawickrama has held leadership roles including Course Director for Data Engineering since 2021 and UTS IEEE Student Branch Counsellor from 2017-2020. His industry experience includes research positions at Ericsson in Sweden (working on 5G New Radio receiver algorithms) and Intel Labs in the USA (working on Licensed Shared Access and Citizens Broadband Radio Service).

Timothy D. StarkView profile

Professor

• Geotechnical Engineering
• Energy-Water-Environment Sustainability
• Railroad Geotechnics
• +6 more

Dr. Timothy D. Stark is a Professor of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign and CEE Excellence Faculty Scholar. With expertise in geotechnical engineering, he focuses on static and seismic stability of slopes, dams, levees, waste containment facilities, railroad geotechnics, and geosynthetics. His interdisciplinary research bridges theoretical and applied engineering, with significant contributions to geomembrane technology and slope failure mechanisms. Education: B.S. (University of Delaware, 1981), M.Eng. (UC Berkeley, 1984), Ph.D. (Virginia Tech, 1987) Research interests include geotechnical stability analysis, geosynthetics, waste containment systems, three-dimensional slope modeling, and geothermal energy applications. Recent work explores liquefaction in earthquakes, landfill fires, and advanced monitoring techniques like LiDAR and seismic surface wave testing. His publications span 15 recent articles on topics such as geosynthetic interface strength, wildfire-affected soil properties, and levee remediation methods. Awards highlight his impact across teaching, research, and service, including the prestigious George H. Norman Medal and Walter Huber Prize. Key Consulting Roles: Fundão Tailings Dam failure (Brazil), Bridgeton Landfill fire (MO), Yeager Airport landslide (WV) Leadership: Vice President, International Geosynthetics Society (2017–2021); Editor, ASCE Journal of Geotechnical and Geoenvironmental Engineering (1997–2023)

Steven GoodmanView profile

Professor

• Epidemiology
• Biostatistics
• Clinical Research Methods
• +4 more

Steven Goodman is a Professor of Epidemiology and Population Health, and Medicine at Stanford University, serving as Associate Dean of Clinical and Translational Research. He leads initiatives like the Stanford Program on Research Rigor and Reproducibility (SPORR) and co-directs the Meta-research Innovation Center at Stanford (METRICS). His research focuses on improving research reproducibility, evidence synthesis, and clinical trial methodology. Goodman holds academic appointments in multiple departments and has served on prestigious committees such as the National Academy of Medicine and the Patient-Centered Outcomes Research Institute (PCORI). Educationally, he earned an AB from Harvard, an MD from NYU, and advanced degrees in Biostatistics and Epidemiology from Johns Hopkins. He has authored over 200 publications, emphasizing Bayesian methods, ethical research practices, and meta-research. His awards include the Abraham Lilienfeld Award and induction into the National Academy of Medicine. Goodman teaches courses on clinical research methods, scientific inference, and diagnostic technologies. Key contributions include advancing open science practices, data-sharing policies, and critical analyses of FDA decision-making. His work bridges statistical rigor with practical applications in healthcare, aiming to enhance the reliability and relevance of biomedical research.

Matthew BoltonView profile

Associate Professor

• System Safety
• Human Performance Modeling
• Formal Methods
• +6 more

Matthew Bolton is an Associate Professor in the Department of Systems and Information Engineering at the University of Virginia. His research focuses on human-centered systems engineering, particularly addressing how human behavior and cognition contribute to system failures. He has held prior roles as a Senior Researcher at NASA Ames Research Center and faculty positions at the University of Illinois at Chicago and the University at Buffalo. Bolton specializes in formal methods to enhance system safety in domains like aerospace, healthcare, and cybersecurity. Dr. Bolton holds B.S., M.S., and Ph.D. degrees in Computer Science and Systems Engineering from the University of Virginia (2003, 2006, 2010). His work has been funded by organizations including the European Space Agency, NSF, NASA, AHRQ, and the Department of Defense. His research interests span system safety, human performance modeling, formal methods, cybersecurity, and engineering ethics. Notable contributions include developing the SAFPH formal human reliability analysis framework and advancing medical alarm audibility standards. Recent publications emphasize trust in AI systems, tactile navigation for the visually impaired, and human-agent teaming dynamics. His work has earned prestigious awards, including the Jerome H. Ely Human Factors Article Award (2021) and the William C. Howell Young Investigator Award (2018). Bolton’s research integrates formal verification techniques with human factors engineering to prevent errors in safety-critical systems. He leads the Formal Human Systems Laboratory, exploring inclusive design principles and ethical engineering practices.

Anne BentleyView profile

Senior Lecturer

• Counselling Psychology
• Student Wellbeing
• International Students
• +2 more

Dr. Anne Bentley is a Senior Lecturer in Counselling and Psychotherapy at Plymouth Marjon University. She holds a Doctorate in Education from the University of Plymouth and is a BACP Accredited Counsellor. Her research focuses on student mental health services, international student wellbeing, and gender issues in higher education. Dr. Bentley managed Student Wellbeing Services at the University of Plymouth (2012-2021) and chaired the British Association for Counselling Heads of University Counselling Services (2019-2021). She developed peer-support frameworks for postgraduate mental health and online suicide prevention training for university staff. Her research combines qualitative insights with quantitative validation, developing reliable instruments to assess student wellbeing. Recent work addresses accessibility of counselling services for international students and gender-based competency development in education programs. She has received recognition for innovation in international education and contributes to Epigeum's International Student Success Programme as an expert reviewer.

Lan WangView profile

Professor

• Internet Architecture
• Network Security
• Wireless Sensor Networks
• +7 more

Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.

Leonard NewmanView profile

Professor

• Social Psychology
• Genocide Studies
• Intergroup Violence
• +5 more

Leonard Newman is a Professor and Associate Chair in the Department of Psychology at Syracuse University’s College of Arts and Sciences. He also serves as Director of Undergraduate Studies and Director of the Ph.D. Program in Social Psychology. His research focuses on social cognition, particularly dehumanization, genocide, and self-protective processes. Newman holds a Ph.D. in Psychology from New York University (1990) with specialization in Quantitative Psychology. He has authored/co-authored over 75 publications, including influential books like Confronting Humanity at its Worst and Understanding Genocide . His work spans topics such as implicit attitudes toward law enforcement, gender stereotypes, and psychological mechanisms behind intergroup violence. Teaching responsibilities include courses like Experimental Social Psychology and Why Good People Do Terrible Things . Newman’s service includes editorial roles at Personality and Individual Differences , Basic and Applied Social Psychology , and leadership roles in departmental governance. He frequently presents at conferences including the Society for Personality and Social Psychology.

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +9 more

Zapater Sancho Marina is an Associate Professor at the ReDS Institute (Institute of Reconfigurable and Embedded Digital Systems) within the School of Engineering and Management Vaud (HEIG-VD), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She holds dual master's degrees in Electronic and Telecommunication Engineering from Universitat Politècnica de Catalunya (2010) and a PhD in Computer Science from Universidad Politécnica de Madrid (2015). Her career includes postdoctoral work at EPFL (2016-2020) and assistant professorship at Universidad Complutense de Madrid (2015-2016). Education BSc & MSc in Electronic Engineering (UPC 2010) PhD in Computer Science (UPM 2015) Research Focus spans cross-layer optimization of heterogeneous architectures for performance and energy efficiency, with emphasis on: Embedded systems (IoT/edge computing) High-performance compute architectures Analog in-memory computing for AI Thermal/power management in 3D chips Cloud-edge AI workload orchestration Publication Trends show expertise in RISC-V simulation frameworks, analog computing tiles for CNNs, virtual memory redesign, and AI-driven cloud performance prediction. Her recent work explores thermal-aware 3D chip management, hybrid-cache reliability optimization, and open-source teaching platforms for radio theory. Awards include a Spanish government PhD fellowship. She has led 4 European H2020 projects since 2016 and currently serves as PI for 4 industrial collaborations (Facebook/Intel/Huawei), Innosuisse projects, and HES-SO initiatives. Labs & Teams include the ReDS Institute, EPFL's Embedded Systems Laboratory, and collaborations with Yale/Edinburgh. She co-developed the ALPINE simulation framework and SO3 operating system modifications for Midgard project validation.

Christine DeMarsView profile

Professor

• Educational Measurement
• Psychometrics
• Item Response Theory (IRT)
• +4 more

Christine DeMars is a Professor of Graduate Psychology and Senior Assessment Specialist at James Madison University (JMU), affiliated with the Center for Assessment & Research Services (CARS). She holds a PhD in Measurement and Quantitative Methods from Michigan State University (1998), an M.Ed. in Elementary Education from Arizona State University (1993), and a B.A. in Psychology from Wichita State University (1990). Her research focuses on psychometric methods, including item response theory (IRT), differential item functioning (DIF), equating, and large-scale testing challenges. She teaches courses in IRT and classical test theory and supervises PhD students. As CARS liaison to Cluster 4 (Stewardship and Sustainability) and Communications Studies (SCOM), she advises on assessment design and implementation. Recent work addresses low-stakes testing validity, remote assessment integrity, and pandemic-related testing adaptations. Her publications emphasize methodological rigor and practical applications in educational measurement. Her scholarly contributions include over 50 peer-reviewed articles on topics like response validity, IRT parameter recovery, and DIF detection. Her work bridges theoretical advancements and real-world testing challenges, particularly in addressing examinee motivation, external event impacts, and model misfit implications. She collaborates with institutions to enhance assessment practices through evidence-based strategies. Ms. DeMars is actively involved in professional development, offering workshops on assessment design and psychometric analysis. Her efforts in CARS support institutional learning outcomes and program evaluation initiatives, reflecting her commitment to advancing educational measurement practices.

Paul N. GormanView profile

Professor

• Medical Informatics
• Health Systems Science
• Naturalistic Decision Making
• +3 more

Dr. Paul N. Gorman serves as Thread Director for Health Systems Sciences and Assistant Dean for Rural Medical Education at Oregon Health & Science University's School of Medicine. With over 30 years of clinical experience spanning rural primary care internal medicine, geriatrics, and urban hospitalist practice, he integrates systems thinking into medical education through the OHSU YourMD curriculum and expands rural physician workforce development via the Campus for Rural Health. His educational foundation includes: B.S. from University of Illinois at Chicago Circle (1975) M.D. from Rush Medical College (1980) Internal Medicine Internship & Residency at Rush Presbyterian-St. Luke's Medical Center Chief Residency (1983-84) and General Internal Medicine Fellowship at Portland VA Medical Center (1990-92) Dr. Gorman's research examines clinician information seeking behaviors, distributed cognition in clinical settings, and naturalistic decision making with emphasis on human factors in healthcare systems. His work bridges medical informatics and practical clinical workflows to enhance healthcare delivery through systems-based practice education. Current scholarship focuses on health systems science curriculum development, clinical decision support optimization, and rural healthcare access. His publication trajectory demonstrates evolving expertise from foundational human factors research toward healthcare system transformation, with recent work emphasizing cost-conscious care integration, clinical workflow modeling, and sociotechnical system design. Key themes include optimizing decision support while mitigating alert fatigue, understanding team process variations, and developing context-aware educational interventions. Honors include: Fellow of the American College of Physicians Fellow of the American College of Medical Informatics Dr. Gorman actively advocates for universal healthcare access through Physicians for a National Health Program and Health Care for All Oregon. His leadership in rural medical education expansion addresses critical physician workforce shortages while maintaining board certification in Internal Medicine. Current initiatives focus on implementing health systems science threads across medical education continuums and strengthening academic-community partnerships for equitable care delivery.

Jordi Renom PinsachView profile

Professor

• Psychometrics
• Educational Measurement
• Sports Psychology
• +3 more

Jordi Renom Pinsach is a full Professor at the Department of Social Psychology and Quantitative Psychology, University of Barcelona. Since 1987, he has focused on teaching, research, and university-business collaboration in psychometrics, educational measurement, and sports psychology. He leads the Testing-Quest project, specializing in methodological support for assessment tools. As principal investigator, he coordinates over 90 applied research projects in areas like test validation and organizational performance evaluation. Academic training: Completed a Psychology Degree (1985) and PhD (1990) at the University of Barcelona. Current teaching includes Psychometrics, Sports Psychology, and Research Methods at both undergraduate and master’s levels. Research interests center on psychometric instrument design, validation of assessment tools, and application of behavioral measurement in education, healthcare, and sports. His Testing-Quest initiative provides quality audits for tests used in organizational and educational settings, addressing issues like reliability, validity, and bias mitigation. Key projects include developing competency assessment systems for healthcare teams (Hospital Clínic de Barcelona) and analyzing sports continuity factors in sailing federations. His work bridges academic research with practical applications through contracts with institutions like the Bosch i Gimpera Foundation. Professional services include technical consultancy for appeals processes involving disputed test results, and training programs on test construction for professionals in education and HR. Active in sports psychology since 1985, he has developed over 200 training modules for coaches and sports organizations.

Thomas J. SantnerView profile

Professor

• Design of Experiments
• Computer Simulations
• Statistical Selection and Screening
• +3 more

Thomas J. Santner is a Professor in the Department of Statistics at Ohio State University. His research focuses on experimental design, particularly in integrating computer simulations with physical experiments. He co-authored influential books including *The Design and Analysis of Computer Experiments* (Springer, 2019) and *The Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons* (Wiley, 1995). His work bridges statistics and engineering, addressing challenges in prosthesis design, biomedical systems, and industrial processes. Notably, he collaborates with the Hospital for Special Surgery on bone-implant systems and biomaterials research. Education: Ph.D., Purdue University, 1973. Research interests include: Computer experiments and hybrid simulation-physical experimentation Statistical selection and screening methodologies Applications in biomedical engineering and manufacturing optimization Uncertainty quantification in finite element models Recent work emphasizes optimizing complex systems through calibrated simulators, with applications in injection molding processes and joint replacement design. His articles demonstrate methodological contributions to design efficiency, sensitivity analysis, and multiobjective optimization. Prior roles include former Director of the Department of Statistics' Consulting Service and former Department Chair at Ohio State University.

Nicolas VermeysView profile

Professor

• Cyberjustice
• Information Security Law
• Artificial Intelligence in Law
• +6 more

Nicolas Vermeys is a Full Professor at the Université de Montréal’s Faculty of Law, serving as Director of the Centre de recherche en droit public (CRDP) and Associate Director of the Cyberjustice Laboratory. He holds advanced degrees (LL.D. and LL.M.) from Université de Montréal and is a certified CISSP (Certified Information Systems Security Professional). His work focuses on intersections between technology and law, particularly cybersecurity, AI governance, and cyberjustice innovation. Education: LL.D. and LL.M. (Université de Montréal) Affiliations: Cyberjustice Laboratory, CRDP, Regroupement stratégique Research Interests: Cyberjustice systems, AI ethics in law, information security obligations, civil liability in digital contexts, and legal frameworks for emerging technologies. He frequently advises governments, legal professionals, and international organizations on these topics. Recent Article Trends: Explores cybersecurity challenges in judiciary systems, AI’s role in judicial processes, and privacy implications of smart technologies. Key themes include ODR systems, digital evidence reliability, and regulatory strategies for autonomous systems. Grants & Projects: Lead researcher on initiatives like Lex Electronica (digital law research) and Human-Centric Cybersecurity Partnership. Co-leads projects on judicial data processing, blockchain arbitration, and AI-driven legal tools. Labs & Teams: Directs CRDP (Canada’s largest legal research center) and co-manages the Cyberjustice Lab, which develops software solutions for justice system challenges. Collaborates internationally with institutions like William & Mary Law School and the University of Fortaleza.