Dr. Eoin Hinchy is an Associate Professor at the University of Limerick (UL), affiliated with the School of Engineering, Bernal Institute, and the Centre for Sustainable Digital (Re)Manufacturing. His research focuses on digital manufacturing, advanced robotics, and additive manufacturing, with emphasis on robotic safety systems and machine learning applications. He holds a PhD in Mechanical Engineering from UL (2016) and previously worked at DePuy Synthes and Confirm Smart Manufacturing. His work integrates digital twin technology, robotics, and 3D printing to enhance manufacturing processes. He leads an SFI-ADI co-funded project on human-robot interaction in factories. Teaching interests include advanced manufacturing processes, industrial robotics, and smart manufacturing systems. He has published extensively on topics such as 4D printing, composite material processing, and machine learning in manufacturing quality control. Recent research trends include the development of adaptive materials for 3D printing, robotic drilling optimization, and digital twin frameworks for life sciences automation. His collaborative projects with industry partners like Analog Devices International aim to advance factory-of-the-future technologies.
Professor Nabendu Pal is a faculty member in the Department of Mathematics at the University of Louisiana at Lafayette. His research focuses on decision theory, reliability and life testing, multivariate analysis, and biostatistics. He holds a Ph.D. in Statistics from the University of Maryland Baltimore County (1989), and M.S./B.S. degrees from the Indian Statistical Institute, Calcutta. His work includes contributions to statistical inference, parameter estimation, and applications in environmental science and health studies. Notable achievements include grants from the National Science Foundation and leadership roles in statistical associations. He has advised multiple Ph.D. students and authored/co-authored textbooks such as Handbook of Exponential and Related Distributions for Engineers and Scientists and Statistics: Concepts & Applications . Education: Ph.D. 1989 (UMBC), M.S./B.S. 1986/1984 (Indian Statistical Institute) Research Grants: Includes NSF-funded projects on population modeling and environmental impact assessments Professional Roles: Editor for Calcutta Statistical Association Bulletin , past Louisiana Chapter President of ASA His awards include Phi-Kappa-Phi membership and recognition for statistical contributions.
Dr. Karl-Anders Weiß is a prominent researcher in renewable energy systems, focusing on the reliability and sustainability of photovoltaic (PV) and solar thermal technologies. He holds an adjunct professorship at the Department of Sustainable Systems Engineering, Albert-Ludwigs-Universität Freiburg, and leads the Center for 'Material Characterization and Service Life Analysis' at Fraunhofer ISE in Freiburg. His career includes roles as Head of Group and Team Leader in service life analysis and analytical research at Fraunhofer ISE since 2009. His research interests span environmental engineering, circular economy strategies, and life cycle assessment (LCA) of energy systems. Notably, he chairs committees such as the Working Group on Impact-Modeling and Digital Data at the Gesellschaft für Umweltsimulation e.V., and contributes to IEA tasks on PV reliability, heating/cooling technologies, and circular economy in heat pumps. Dr. Weiß’s publications emphasize PV module degradation patterns, accelerated aging tests, and sustainability frameworks for renewable energy systems. He actively collaborates with international organizations to standardize testing protocols and promote resilient material cycles. His work bridges academic teaching and applied research, driving innovation in both technical and policy domains.
Dr. Jose Espiritu serves as Vice President for Research and Innovation at Texas A&M University-Kingsville, leading all research initiatives across the institution. His office is located in the Memorial Student Union Building (MSC 201) at 700 University Blvd., Kingsville, TX 78363, with contact number 361-593-3344. His educational background includes: Ph.D. in Industrial & Systems Engineering from Rutgers University M.S. in Industrial & Systems Engineering from Rutgers University M.S. in Industrial Engineering - Quality from Instituto Tecnológico de Celaya B.S. in Biochemical Engineering from Instituto Tecnológico de Zacatepec Dr. Espiritu's research focuses on critical engineering challenges through the lenses of Reliability Engineering , Risk Assessment , and Sustainability Engineering . His work bridges theoretical optimization with practical power systems applications, particularly through Distributed Flexible AC Transmission Systems (D-FACTS) technology. A significant portion of his publications addresses renewable energy integration and environmental impact mitigation , demonstrating consistent evolution from foundational reliability studies toward contemporary sustainability challenges. His 2025-2022 publications show increased emphasis on multi-objective optimization frameworks that balance economic, environmental, and operational constraints. His scientific contributions reveal strong patterns in power systems optimization (60% of recent work), sustainability engineering (30%), and interdisciplinary applications (10%). Key recurring themes include transmission flexibility enhancement, biofuel feedstock optimization under environmental constraints, and stochastic modeling for grid resilience. The research consistently employs evolutionary algorithms and multi-objective optimization techniques to address complex engineering problems. As Vice President for Research, Dr. Espiritu oversees institutional research strategy, compliance, and funding initiatives. His leadership extends to promoting sustainability engineering education through programs like the Building Expertise on Energy Sustainability (BEES) initiative mentioned in his 2011 publications. While specific grant details aren't provided in the source materials, his extensive publication record suggests substantial research funding in power systems and sustainability domains.
Chih-Hung Chang, PhD, is a Professor of Occupational Therapy, Medicine, and Orthopaedic Surgery at Washington University in St. Louis. He leads the Psychometrics+Informatics (pi Lab), focusing on integrating modern psychometrics and informatics to advance healthcare outcomes. His research emphasizes patient-reported outcomes, health-related quality of life, and innovative assessment systems for clinical practice and education. Dr. Chang holds affiliations with the Institute of Clinical and Translational Sciences (ICTS), Institute for Informatics, and Siteman Cancer Center. His work spans palliative care, oncology, and rehabilitation, with a focus on developing universally designed digital tools for assessment and management. Key projects include the PROUD system for patient-reported outcomes, DREAM for IRT-based rehabilitation, and the Virtual Academy for clinician education. He mentors students in health professions, PhD/MSTP programs, and postdocs, offering opportunities in tool design, data analysis, and system development. His research has been cited over 5,422 times, with recent contributions to telehealth, stroke recovery, and opioid treatment utilization.
Mark Lafave, PhD, is a Professor and Associate Dean of Research, Scholarship, & Community Engagement at Mount Royal University. He has been at MRU since 1994, initially serving as an instructor and Head Athletic Therapist for Cougar Athletics. His academic career includes pioneering roles, such as being part of the first full-professor cohort at MRU (2012) and receiving the 2018 MRU Career Achievement Award for Research and Scholarship. His research focuses on clinical education, Scholarship of Teaching and Learning (SoTL), and orthopedic studies on knee and shoulder injuries. Key contributions include validating the Athletic Therapy Competency Framework and advancing tools like the Banff Patellar Instability Instrument (BPII). He also explores international healthcare credentialing and competency development in health professions. Dr. Lafave’s community engagement includes co-chairing the Canadian Athletic Therapists Association (CATA) Program Accreditation Committee. His work bridges academic research with clinical practice, emphasizing evidence-informed practices and interdisciplinary collaboration.
Dr. Reza Nejat is an Associate Professor in the Department of Physics and Astronomy at McMaster University. He specializes in physics education and theoretical physics, focusing on curriculum development and interdisciplinary applications. He has authored Physics for the Life Sciences (2015) and developed the Program Reliability Estimation Tool (2001). His teaching spans foundational courses such as Introductory Mechanics, Waves & Electromagnetism, and Modern Physics since at least 2017. Teaching Roles: Instructor for core physics courses across multiple academic years. Research: Emphasis on physics education and computational tools. No awards or grants are listed. He has no recorded advisees or active labs/teams in the provided data.
Aaron Childs is an Associate Professor in the Department of Mathematics & Statistics at McMaster University. His primary research focuses on probability theory, statistical inference, and the application of order statistics to outlier accommodation and classical inference problems. His work includes developing methods for hypothesis testing using order statistics and inverse sampling, as well as creating Maple-based computational tools for statistical analysis. Childs has contributed to waiting time problem solutions using uniform random variables and generating functions. He has also engaged in consulting projects, such as analyzing virus-respiratory disease data through time series analysis. His academic roles include teaching courses like Calculus for Science, Engineering Mathematics, and Statistical Methods for Science. His scholarly output includes over 50 publications in journals such as Statistics , Computational Statistics and Data Analysis , and Methodology and Computing in Applied Probability . Key themes in his work include censored data analysis, robust statistical methods, and algorithmic approaches to statistical problems.
Professor Feng Xie is affiliated with the Department of Health Research Methods, Evidence, and Impact at McMaster University , focusing on health economics, cost-effectiveness analysis, and health-related quality of life (HRQoL) research. His work spans oncology, cardiology, geriatrics, and public health policy, with a strong emphasis on EQ-5D-5L utility value applications. Key research areas: Health economics, medical decision making, HRQoL, EQ-5D-5L, cardiovascular disease-specific measures Recent Trends : Analysis of economic evaluations in surgery, development of preference-based health measures for China, cost-effectiveness of novel therapies (e.g., deep brain stimulation, convalescent plasma), and methodological advancements in discrete choice experiments. Grants & Collaborations : Involved in multi-center trials (e.g., CONCOR-1, RAVAL) and implementation studies for critical care rehabilitation. Collaborates with international teams on health state utility assessments and GRADE guideline applications.
Tom Booth is a Senior Lecturer in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on quantitative methods, psychometrics, personality traits, organizational psychology, and health outcomes, particularly in aging populations. He holds a BSc in Psychology from the University of Bath and advanced degrees (MSc & PhD in Organizational Psychology) from Manchester Business School. Before his lectureship, he contributed to the Cognitive Epidemiology Group (CCCACE) at Edinburgh, studying aging-related cognitive changes. Current research emphasizes retirement's impact on long-term health, leveraging longitudinal methodologies like experience sampling. He collaborates on projects involving epigenetic signatures, personality taxonomy development, and behavioral trait assessment validity. Teaching responsibilities include courses on data analysis in R (dapR2/dapR3), psychometrics, and current trends in psychology. He is temporarily unavailable for PhD supervision during 2023-24 due to research leave. Publications span over 50 peer-reviewed articles, with notable contributions to personality measurement, ADHD trajectories, and the intersection of cognitive ability with biological aging markers.
Dr. Roxanne Connelly is a Senior Lecturer in Sociology and Quantitative Methods at the School of Social and Political Science, University of Edinburgh . Her research focuses on Social Stratification , Sociology of Education , and Quantitative Methods . She actively uses Longitudinal Data , Administrative Data , and Reproducibility Frameworks in social science research. Senior Lecturer since 2013 ORCID: 0000-0002-3886-1506 Collaborates with Vernon Gayle and others Research Interests: Explores intersections of Social Class , Educational Outcomes , and Cognitive Development across British birth cohorts. Leads projects on Reproducibility in Social Science and Viral Testing Protocols during pandemics. Supervises topics including Childhood & Youth Studies and Data & Digital Identities . Recent Project Trends: Focus on Computational Reproducibility , Latent Variable Modeling in education, and Public Health Surveillance systems. Collaborates internationally with over 165 researchers on replication reliability. Media Engagement: Discusses 'Missing Middle' Students and Family Influence on Education in outlets like The Times and The Herald .
Eyitayo Ademola Opabola is an Assistant Professor in the Civil and Environmental Engineering Department at the University of California, Berkeley. His research combines Structural Engineering, Reliability Theory, Statistics, and Hazard Science to solve complex engineering problems affecting civil infrastructure systems. He has extensive experience in large-scale field and laboratory testing of structural components and systems, nonlinear analysis of structures, multihazard risk analysis, and building-level and community-level resilience quantification. Education Ph.D., Civil Engineering - University of Auckland, New Zealand, 2020 M.S., Structural Engineering - Voronezh State University of Architecture and Civil Engineering, Russia, 2015 B.E., Civil and Industrial Engineering - Voronezh State University of Architecture and Civil Engineering, Russia, 2013 Dr. Opabola's research focuses on both high- and low-income communities across North America, Europe, Oceania, Asia, and Africa. His work centers on three major themes: (a) how future building codes can address resilience, sustainability, and durability under extreme loading events and changing climate; (b) how natural hazards interact and impact civil infrastructure systems and communities, especially marginalized communities; (c) innovative ideas on rehabilitation and adaptive reuse of buildings to meet net-zero goals. His group has developed a repairability-based design approach for structural systems that is being adopted by design guidelines in the US and New Zealand, a probabilistic framework for simulating multi-hazard scenarios, and resilience quantification models for various infrastructure systems. His publication record demonstrates strong focus on practical applications of resilience engineering, with recent papers examining post-disaster recovery trajectories, multihazard risk modeling, and seismic design innovations. The research spans theoretical development, experimental validation, and real-world implementation across diverse geographical contexts. Scientific Awards 2023 Shah Family Innovation Prize 2022 Marie Curie Individual Post-Doctoral Research Fellowship 2021 University of Auckland Vice-Chancellor Award for top PhD theses 2020 University of Auckland Doctor of Philosophy Dean's list of excellence 2019 New Zealand Society of Earthquake Engineering Research award Dr. Opabola has secured funding from multiple prestigious sources including United Kingdom Research and Innovation (UKRI), European Commission, National Research Council Canada, Federal Emergency Management Agency (FEMA), and the World Bank. His research group actively collaborates with stakeholders to translate technical findings into practical disaster mitigation policies. Current projects investigate repairability-based design approaches, life-cycle carbon emission optimization, and multi-hazard interaction frameworks that account for climate change impacts. His laboratory work spans large-scale structural testing, nonlinear analysis, and field investigations across multiple continents, with a particular focus on developing methodologies applicable to both developed and developing contexts. The group's work on multihazard scenario generation and resilience quantification has direct applications for infrastructure owners, policymakers, and emergency management agencies worldwide.
Barbara Rossi is an Associate Professor of Engineering Science and Tutorial Fellow at New College, University of Oxford. She holds a MEng, MSc, and PhD from ULiege (2003) and has expertise in sustainable metal structures, corrosion resistance, and structural behavior of materials like stainless steel and aluminum. Her research focuses on enhancing sustainability and resilience in construction, with applications in bridges, windmills, and nuclear waste facilities. She leads the Sustainable Metal Structures Research Group, utilizing advanced computational and experimental methods. Key contributions include design guidelines for lateral-torsional buckling and corrosion prediction models. Awards include the Carbon Champion (2022) and Bev Waugh Medal (2023). She also co-founded Oxford Sustainability, advising on low-carbon construction practices. Prior roles include Associate Professor at KU Leuven, Belgium, where she led research on metallic structures. Education: MEng in Civil Engineering, ULiege (2003) MSc in Engineering Science, ULiege PhD in Engineering Science, ULiege (2009) Research Interests: Sustainable metal structures and lifecycle assessment Corrosion in harsh environments (e.g., nuclear waste, wastewater) Fatigue behavior and additive manufacturing of metals Structural reliability and post-fire assessment Publications: Over 80 papers, including peer-reviewed journals and Eurocode revisions. Recent work emphasizes fatigue crack growth in additive manufacturing and corrosion-resistant materials. Awards: Carbon Champion by Institution of Civil Engineers (2022) Bev Waugh Medal (2023) Fellow of the Institution of Civil Engineers Advising & Grants: Leads the Sustainable Metal Structures Lab at Begbroke Science Park. Active in consultancy for low-carbon projects and training initiatives. Funded projects include studies on wire-arc additive manufacturing and corrosion in radioactive waste disposal. Labs/Teams: Heads the Sustainable Metal Structures Research Group, conducting full-scale experiments on structural performance under corrosive environments.
Julie M. Zissimopoulos is a Professor at the Sol Price School of Public Policy, University of Southern California, and Senior Scholar at the Schaeffer Institute for Public Policy & Government. She leads major initiatives including the USC Alzheimer’s Disease and Alzheimer’s Disease Related Dementia Resource Center for Minority Aging Research (RCMAR) and CeASES ADRD, funded by the National Institute on Aging (NIA). Her research focuses on economics of aging, health economics, and disparities in dementia care. She holds leadership roles in Alzheimer’s policy, including editing the Health Policy and Caregiving section of Alzheimer’s & Dementia journal and co-chairing national dementia research summits. Dr. Zissimopoulos earned a B.A. summa cum laude from Boston College, an M.A. from Columbia University, and a Ph.D. in Economics from UCLA. Her work examines dementia costs, pharmaceutical treatments for chronic diseases, and insurance design impacts. She has been recognized with the USC Price High Impact Research Award (2024) for her dementia research. Education: B.A. Boston College (summa cum laude) M.A. Columbia University Ph.D. in Economics, UCLA Affiliations: Schaeffer Institute for Public Policy & Government National Academies of Sciences, Engineering, and Medicine Committees Her research highlights include analyzing Medicare Advantage vs. traditional Medicare disparities, dementia diagnosis trends, and the economic burden of caregiving. She has published in high-impact journals like JAMA Neurology and Health Affairs, with media coverage in the New York Times and NPR. Recent grants include NIA-funded projects on dementia cost estimation and minority aging research. She advises on federal policy reforms to expand dementia care access and reduce health inequities.
Dr. Natisha Sands is an Associate Professor at Deakin University's School of Nursing and Midwifery, with over 30 years of experience as a mental health nurse. Her research program investigates mental health triage clinical practice, service delivery models, emergency department mental health care, competency assessment, consumer perspectives, and risk assessment frameworks. Education: Doctor of Philosophy from University of Ballarat Bachelor of Nursing from Deakin University Her research focuses on improving mental health triage through evidence-based frameworks, clinical education programs, and competency assessment tools. She has led multi-year projects on triage service evaluation, violence prediction, and telehealth competency. Recent publications demonstrate a focus on mental health triage optimization, crisis care perceptions, and cross-cultural mental health literacy, with methodological strengths in survey research, tool validation, and service evaluation. Scientific Awards: Vice Chancellors Values Award (2014) Philippa Moore Publication Prize (2014) KB Smith Nursing Publication Award (2012) Vice Chancellors Knowledge Transfer Excellence Award (2009) Excellence in Health Research (2003) Publication Award, University of Ballarat (2002) Stan Alchin Presenters Award (2001) Australian Post Graduate Award (1999) She has supervised Masters and PhD students while securing numerous grants including $23,905 for identifying clinical deterioration predictors and $50,000 for violence risk assessment guidelines. Her consultancy work has implemented triage competency tools internationally across Ireland, New Zealand, and Australia.
