جست‌وجوی استاد و پژوهشگر

Aarnout Brombacherمشاهده پروفایل

استاد

• Design Theory
• Data Analytics
• Quality and Reliability Engineering
• +۳ مورد دیگر

Aarnout Brombacher is a Full Professor of Design Theory and Information Flow Analysis at Eindhoven University of Technology (TU/e), affiliated with the Department of Industrial Design and the EAISI Health research group. He holds a BSc, MSc, and PhD in Engineering from Twente University of Technology. His research focuses on data analytics in complex systems, quality and reliability management, and the application of activity data to improve health and vitality. Brombacher has held leadership roles, including Dean of Industrial Design (2010–2018) and Vice-Rector for International Relations (2012–2016). He co-edits the journal *Quality and Reliability Engineering International* and has authored over 100 journal papers. His recent work bridges design theory with health technology, emphasizing participatory frameworks for behavioral interventions and telemonitoring solutions in clinical settings. **Education**: Brombacher earned his degrees in Electrical Engineering and Engineering Science from Twente University. His early career at TU/e spanned quality management in both Industrial Design and Mechanical Engineering departments. He served as Distinguished Visiting Professor at the National University of Singapore (1998–2006). **Research**: His interests span design methodologies, field-data analysis for user-centric systems, and translating human activity data into actionable health insights. Recent projects include frameworks for cardiac telerehabilitation, gamified tools for workplace wellness, and AI-driven health interventions. His work often integrates industrial design principles with healthcare challenges, addressing both technical and socio-behavioral dimensions. **Grants & Impact**: Brombacher’s research has led to practical solutions like NutriColoring (a dietary assessment tool) and WorkWalk (integrating microbreaks into office routines). His contributions to sports and vitality include advising the Dutch government’s TopTeam on Sports and Vitality. He advocates for transdisciplinary collaboration to tackle societal health challenges through Living Lab methodologies. **Awards**: While no explicit prizes are listed, his sustained academic leadership and prolific publication record highlight his impact in quality engineering and human-centered design.

Sonia Chernovaمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۴ مورد دیگر

Sonia Chernova is an Associate Professor in the School of Interactive Computing at Georgia Tech's College of Computing. She leads the Robot Autonomy and Interactive Learning (RAIL) lab, focusing on developing intelligent and interactive autonomous systems. Her research spans robotics and AI, emphasizing semantic reasoning, human-robot interaction, and explainable AI. She directs the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), which develops AI systems to support aging adults in home environments. Research Interests: Chernova’s work integrates human-centric approaches to robotics, including adaptive autonomy, explainable AI, and AI for health. She explores how robots can learn from human feedback, navigate ambiguous tasks, and provide proactive assistance in daily environments. Her lab’s projects emphasize real-world applications in healthcare, smart homes, and collaborative human-robot teams. Key Contributions: Developed frameworks for preference adaptation in object rearrangement and human-robot collaboration Pioneered explainable AI techniques for robot failures and decision-making transparency Advanced semantic reasoning methods for robots operating in everyday environments Led initiatives in proactive assistive robotics and aging-in-place technologies Awards & Recognition: 2021 IEEE/ACM HRI Best Paper Award 2018 NAE Frontiers of Engineering Top 100 Researcher 2014 ONR Young Investigator Award 2012 NSF CAREER Award Teaching & Outreach: Teaches courses on robotics, human-robot interaction, and robotics research. Co-chaired the Conference on Robot Learning (CoRL 2023) and developed outreach programs to bridge pre-college computer science education gaps. Affiliations: GVU Center, Institute for Robotics and Intelligent Machines (IRIM), and the NSF AI-CARING Institute.

Marlon Alvesمشاهده پروفایل

استادیار

• Management
• Organizational Innovation
• Dynamic Capabilities
• +۵ مورد دیگر

Marlon Alves is an Assistant Professor at SKEMA Business School (France) and holds concurrent roles as Lecturer at the University of São Paulo (Brazil) and CDM-EPFL (Switzerland). He holds a Ph.D. in Business Administration from Universidade de São Paulo (2019), an M.Sc. (2015), and a B.Sc. (Hons) in Administration (2013). His research focuses on dynamic capabilities, sustainability, and organizational innovation, with a particular emphasis on exploring-exploitation strategies, sustainable HRM, and strategic adaptation. Alves has received prestigious awards, including the Best Paper Proceedings (Academy of Management, 2021) and the Best Ph.D. Dissertation (USP, 2020). His research explores topics such as boundary-spanning partnerships, green innovation timing, and the impact of cognitive processes on organizational change. Recent work examines the implementation of UN Sustainable Development Goals (SDGs) in emerging markets and evaluates Brazil’s border health policies. Alves has published in top journals like Organization Science and Journal of Cleaner Production . Awards: 7 major recognitions since 2013, including academic excellence and impactful research contributions. Grants: Research fellowship at Bocconi University (2017) and CAPES Foundation grants. His advisory work includes roles at the Brazilian Federal Institute and Universidade de São Paulo, alongside industry experience in product management and supply chain analysis.

• Low carbon energy systems
• System flexibility
• Demand side flexibility
• +۵ مورد دیگر

Dr. Phil Grunewald is a Supernumerary Research Fellow at Oriel College and Research Director of the Energy Demand Observatory and Laboratory (EDOL) at the University of Oxford's Department of Engineering Science. He also serves as Oxford Principal Investigator for the JED-AI project. Previously, he led the Oxford Energy Network and the Flexibility theme at the Environmental Change Institute (2013-2020). Education PhD from Imperial College London on grid storage economics, supported by a UKERC scholarship. Research Focus Grunewald employs interdisciplinary approaches to analyze energy demand flexibility using smart meter data, machine learning, and socio-technical variables. Core research themes include: Low-carbon energy transitions Demand response and system flexibility Machine learning applications for household energy clustering Longitudinal analysis of crisis impacts on consumption Equity in energy system redesign Publications Recent articles (2019-2024) demonstrate strong focus on: 1) Data-driven household energy pattern analysis using machine learning, 2) Crisis resilience and emissions impacts of demand flexibility, 3) Socio-technical barriers to energy transitions, and 4) Methodological innovations in activity-based energy modeling. Recurring themes include temporal consumption variability, policy equity, and decarbonization trade-offs. Awards EPSRC Fellowship (2015-2021) Marie Curie Fellowship Fellow of the Institution of Civil Engineers (FICE) Projects & Grants Principal Investigator for: EDOL (EPSRC): Longitudinal household energy-observatory ReNEW (Oxford Martin): Energy equity and wellbeing Shift-0 (MCS Foundation): Heat-pump adoption impacts METER study : Machine learning analysis of UK household diaries/meter data Teams & Infrastructure Leads energy demand research group developing specialized tools for activity recording and meter data analysis. Maintains UK Household Energy Use database.

Dimitra Skoumpopoulouمشاهده پروفایل

پژوهشگر

• Information Systems Implementation and Management
• Project Management
• Knowledge Management
• +۳ مورد دیگر

Dimitra Skoumpopoulou is a researcher and faculty member at Northumbria Business School, Northumbria University. She specializes in information systems implementation, project management, and organizational culture. Prior to academia, she spent over 15 years as an independent business consultant, supporting SMEs in the UK, Greece, and Germany with information systems adoption and cultural adaptation strategies. Her research emphasizes the human-centric aspects of technology implementation, particularly in manufacturing, higher education, and crisis management contexts. Education: PhD in Science (2008) MSc in Business Information Technology (1999) Fellow of the Higher Education Academy (FHEA, 2008) Key Research Interests: Dimitra's work focuses on digital transformation challenges, talent management, and organizational routines impacting technology adoption. She has published extensively in journals like the Journal of Manufacturing Technology Management and Journal of Modelling in Management. Grants & Projects: Lead investigator in the SportsAid Trust KTP project (2019–2021), awarded £171,567. Contributed to global talent management initiatives through GETM conferences and partnerships with institutions like Technological University Dublin. Labs/Teams: Active in interdisciplinary research teams addressing digital supply chain solutions and SME resilience strategies.

Jeffrey Frohمشاهده پروفایل

دانشیار

• Positive Psychology
• Gratitude Development in Youth
• Child and Adolescent Well-being
• +۵ مورد دیگر

Dr. Jeffrey Froh is an Associate Professor in the Department of Psychology at Hofstra University’s College of Liberal Arts and Sciences. He specializes in the study of gratitude, particularly in children and adolescents, and its impact on well-being and character development. His research explores empirically-supported strategies to cultivate gratitude in youth through family, school, and community environments. University: Hofstra University School: College of Liberal Arts and Sciences Department: Department of Psychology Academic Rank: Associate Professor Dr. Froh's research interests focus on positive psychology, emotional development, and interventions that promote resilience and gratitude in young people. His work emphasizes the role of parental modeling, classroom practices, and daily routines in shaping grateful dispositions. He investigates gender differences in gratitude expression and the psychological benefits derived from thankful behaviors, especially during adolescence. The body of Dr. Froh’s publications and public commentary reflects a strong trend toward applied, evidence-based approaches to emotional education. His work consistently centers on gratitude as a cornerstone of psychological health, with sub-themes including family bonding, technology's impact on presence, and the cultivation of purpose in youth. Articles often integrate developmental psychology with practical parenting and teaching strategies. Scientific Awards: None mentioned in the provided text. Dr. Froh is deeply committed to mentoring students and fostering a nurturing classroom environment. He teaches courses in positive psychology and research methods for PsyD students. While no formal list of advisees is provided, his emphasis on student connection suggests active engagement in academic advising and personal development guidance. He values the human touch in education and strives to help students apply psychological principles to real-life contexts. His personal life, including being a father of two, informs his professional mission to instill gratitude in the next generation.

Jonathan Nowakمشاهده پروفایل

استادیار

• Molecular Pathology
• Gastrointestinal Oncology
• Pancreatic Cancer
• +۹ مورد دیگر

Dr. Jonathan Nowak, MD, PhD is an Assistant Professor of Pathology at Harvard Medical School and an active investigator at the Hale Family Center for Pancreatic Cancer Research. He holds dual clinical and research appointments at Brigham and Women’s Hospital and the Dana-Farber Cancer Institute, where he specializes in molecular and gastrointestinal pathology. He co-leads the Wolpin-Nowak laboratory, which focuses on high-resolution, tissue-based analysis of pancreatic and colorectal cancers. Weill Medical College of Cornell University – MD The Rockefeller University – PhD (Tri-Institutional MD-PhD Program) Brigham and Women’s Hospital – Pathology Residency Harvard Medical School/Brigham and Women’s Hospital – Fellowships in Anatomic, Clinical, and Molecular Genetic Pathology Dr. Nowak's research centers on the molecular and spatial characterization of solid tumors, particularly pancreatic and colorectal cancers. His lab employs multiplexed immunofluorescence, digital image analysis, and machine learning to dissect the tumor microenvironment at single-cell resolution. They develop assays to quantify immune infiltrates, tumor differentiation states, cell cycle activity, and stromal composition, enabling large-scale, spatially resolved studies across resected, neoadjuvant-treated, and metastatic tumor cohorts. Their work bridges clinical pathology and translational research, supporting biomarker discovery and precision oncology. The recent publications highlight a strong focus on tumor-immune interactions, molecular subtyping, and prognostic biomarker development in gastrointestinal cancers. Using both protein and RNA expression data from human specimens, the studies integrate machine learning with spatial pathology to uncover clinically relevant patterns in pancreatic and colorectal cancers. A recurring theme is the use of scalable, customizable tissue-based assays applicable to clinical trials and routine care. Dr. Nowak contributes to major collaborative efforts in pancreatic cancer research and is instrumental in genomic and pathological analysis of patient specimens. He helps design and interpret next-generation sequencing assays for tumor profiling and leads a constitutional genetics service for hereditary cancer predisposition. While no formal advising list is provided, his leadership of a research laboratory implies mentorship of postdoctoral fellows and research staff. The Wolpin-Nowak lab serves as a key pathology resource within the Hale Family Center, analyzing mouse models, organoids, xenografts, and clinical trial specimens to understand pancreatic cancer biology. They collaborate extensively with other research teams to correlate molecular findings with morphologic and clinical data.

Jingguo Wangمشاهده پروفایل

استاد

• Information Systems
• Cybersecurity
• Cybercrime
• +۳ مورد دیگر

Dr. Jingguo Wang is a Professor in the Department of Information Systems and Operations Management at the University of Texas at Arlington (UTA), holding the Eunice and James L. West Professorship. He joined UTA in 2007 after completing his Ph.D. in Management Science and Systems at SUNY Buffalo. With expertise in information systems, cybercrime, and information security, he teaches cybersecurity, data communication, database management, and Ph.D. seminars. Ph.D., Management Science and Systems, State University of New York at Buffalo (2007) M.S., Industrial Engineering (Operations Research), SUNY Buffalo (2005) B.S., Computer Science, Fudan University (1998) His research focuses on cybersecurity, phishing susceptibility, information security policy compliance, and social influence in digital contexts. He explores how organizational, psychological, and technological factors shape security behaviors and digital risk management. The 15 most recent articles highlight his work on insider threats, peer monitoring, stress-induced compliance failures, and the impact of social media and technology on security decisions. These contributions span journals like MIS Quarterly, Decision Support Systems, and Information Systems Research. Dr. Wang has secured funding from the National Science Foundation and UTA, including collaborative projects on insider threat modeling and user authentication systems. He serves as Senior Editor for the Journal of the Association for Information Systems and has held Associate Editor roles.

Ermal Hetemiمشاهده پروفایل

استادیار

• Project Management
• Sustainability Transitions
• Innovation Ecosystems
• +۳ مورد دیگر

Ermal Hetemi is an Assistant Professor of Organizing and Innovation at Linnaeus University’s School of Business and a Researcher at KTH Royal Institute of Technology. His research focuses on multi-stakeholder collaboration in societal challenges, organizational purpose, and sustainable business practices. He holds a PhD from KTH Royal Institute of Technology (2020) and has held postdoctoral and industry collaborations globally. His research spans large-scale infrastructure projects (e.g., Swedish High-Capacity Transport initiative) and digital transformation in academia and industry. He advises leading firms like Trafikverket, Siemens, and ProRail. He serves on the editorial board of the International Journal of Project Management and has received awards including the 2023 EURAM Best Reviewer Award. Key research themes include knowledge ecosystems, program management, and innovation pathways. Recent work examines value creation in emergent programs (e.g., transportation systems) and expertise dynamics in complex projects. Over 50 peer-reviewed publications span journals like California Management Review and International Journal of Project Management . Teaching includes project management, innovation, and methodology courses. Industry partnerships involve strategic digitalization projects in rail and infrastructure sectors.

• Forensics
• Toxicology
• Population Genetics
• +۶ مورد دیگر

Ivan Dolanc is a researcher at the Institute of Anthropology in Zagreb, Croatia, with a dual academic background in forensic science and chemical engineering. He holds a Master of Forensic Science (2012) and a BSc in Chemical Engineering (2010) from the Faculty of Chemistry and Chemical Technology at the University of Split. Forensics Toxicology Population Genetics Pharmacogenomics Gut Microbiota Analysis His research spans interdisciplinary domains, focusing on analytical chemistry applications in bioanthropology, toxicological burden analysis, and understanding interactions between environmental factors (e.g., heavy metals) and health outcomes during the COVID-19 pandemic. He has collaborated on international projects like unCoVer (HORIZON2020), CRIBS (Croatian Islands’ Birth Cohort Study), and MICROBIOCOV (gut microbiome in COVID-19 prognosis). Recent publications highlight his expertise in bioinformatics , cheminformatics , and mass spectrometry techniques (ICP-MS/MS, GC-MS/MS). He has also contributed to studies on dietary behavior during pandemics, leveraging the CRIBS cohort to explore maternal health impacts and neonatal outcomes. Ivan actively participates in scientific organization, serving on committees for international conferences on forensic genetics, auxology, and anthropology. His laboratory skills include DNA isolation , inductively coupled plasma mass spectrometry , and laser ablation .

David Schindlerمشاهده پروفایل

دانشیار

• Behavioral Economics
• Experimental Economics
• Economic History
• +۶ مورد دیگر

David Schindler is an Associate Professor in the Department of Economics at Tilburg University , specializing in Behavioral & Experimental Economics , Economic History , and Personnel Economics . He is a Research Fellow at CESifo and has contributed extensively to journals like Review of Economic Studies and Review of Financial Studies. Education: PhD in Economics from Ludwig Maximilian University Munich, MSc in Economics from LMU Munich, Dipl.-Volkswirt from University of Cologne His research explores how behavioral economics insights influence public policy, political economy, finance, and firm organization. He employs secondary data, laboratory experiments, and field experiments to analyze human behavior under varied conditions. Recent publications focus on leadership dynamics , racial attitudes , gun violence , and incentive structures in team tasks. He co-developed μCap , a software tool linking z-Tree with FaceReader™ for emotion analysis in experiments.

• Corporate Governance
• ESG Disclosures
• Real Estate Finance
• +۳ مورد دیگر

Brett Olsen held a continuous appointment as Assistant Professor in the Department of Finance at the University of Northern Iowa from the 2009-2010 through 2015-2016 academic years, as documented in the UNI Faculty Roster maintained by Special Collections & University Archives. This roster, last updated for the 2015-2016 year and explicitly noted as non-comprehensive and non-routine, establishes his primary institutional affiliation during this seven-year period without indicating any administrative leadership roles. His research agenda spans high-impact areas including corporate governance mechanisms, ESG disclosure frameworks, and real estate finance dynamics. Early work focused on multinational firm valuation and mortgage refinancing mathematics, evolving toward contemporary regulatory analysis such as materiality thresholds for mine safety disclosures and market reactions to mandatory reporting. Subfield expertise includes bankruptcy-related governance restructuring, CEO-stock performance linkages, ownership concentration effects on liquidity, and finance pedagogy innovations using Excel and online platforms. Publication trends reveal a strategic pivot from traditional finance topics (2005-2015) toward sustainability regulation and disclosure impacts (2017-2021), demonstrating sustained engagement with market efficiency and governance challenges. His work consistently bridges theoretical finance with practical regulatory implications, particularly in how disclosure mandates alter investor behavior and firm strategy across real estate, mining, and corporate sectors.

John Downeyمشاهده پروفایل

مدرس

• Digital Health
• Implementation Science
• Person-Centred Care
• +۷ مورد دیگر

Dr John Downey is a Lecturer in Digital Health at the School of Nursing and Midwifery, Keele University. He is actively involved in research and teaching, with a focus on digital transformation in healthcare, implementation science, and person-centred care. He is accepting PhD students and contributes to academic leadership through editorial and professional roles. His research interests span digital health, implementation science, health behaviour change, and public health innovation. These are reflected in his teaching, which includes health promotion, research methods, and digital transformation. His work emphasizes participatory approaches and the integration of digital tools into routine care. The recent publications highlight a strong trend in applying digital and participatory methodologies to public health challenges, particularly in elderly care, dementia prevention, and community-based interventions. His work bridges social science, healthcare delivery, and technological innovation. Fellow of Advance HE Editorial Board Member, International Journal of Social Research Methodology John Downey is Principal Investigator on an Innovate UK-funded project focused on XR applications for mental health workforce wellbeing, and Co-Investigator on a project developing a child symptom checker app. These grants reflect his leadership in digital health innovation. He mentors students and engages in knowledge exchange, particularly in higher education pedagogy. He is actively involved in research projects that explore digital innovation in healthcare, particularly through participatory and implementation science frameworks. His work often involves collaboration across disciplines and sectors, including the NHS and community organisations.

Bex Twinleyمشاهده پروفایل

مدرس ارشد

• Occupational Therapy
• Occupational Science
• Neurodivergent-Affirming Practice
• +۱۲ مورد دیگر

Bex Twinley is a Senior Lecturer in the School of Education, Sport and Health at the University of Brighton, UK, where she contributes to the occupational therapy program. She holds a PhD in Health Science from the University of Plymouth and has been active in academia since 2010, previously serving as a Lecturer/Practitioner at the University of Plymouth. She is affiliated with the Centre for Arts and Wellbeing and the Centre for Transforming Sexuality and Gender at the University of Brighton, reflecting her interdisciplinary and socially engaged research. Her educational journey includes a BSc in Sociology (University of Plymouth, 2000), an MSc in Health Through Occupation (University of Brighton, 2005), and a PostGraduate Certificate in Academic Practice (University of Plymouth, 2011). She also holds a Level 2 Certificate in Understanding Autism (2024) and training in qualitative research and systematic reviews. Bex Twinley's research centers on the "Dark Side of Occupation" —a concept she developed to explore occupations that are hidden, stigmatized, or subjectively experienced in ways that challenge professional or societal norms. Her work emphasizes neurodivergent-affirming practice , trauma-informed care, and intersectionality, particularly how neurodivergence intersects with gender, sexuality, and trauma. She employs feminist auto/biographical methodologies, drawing on personal and collective narratives to understand occupation, identity, and wellbeing. Her recent publications span topics such as matrescence, woman-to-woman sexual violence, religious disaffiliation, and neurodivergent motherhood. These works consistently highlight occupational justice, identity renegotiation, and the need for inclusive, strengths-based practices. Her research output shows sustained engagement with marginalized populations and silenced experiences. Scientific Awards and Funding: Co-author of paper awarded the 2021 Wilcock Award for Emerging Authors Recipient of multiple seed grants from University of Brighton, University of Canberra, Elizabeth Casson Trust, and University of Plymouth External funding as Co-Investigator on international research projects Bex Twinley is an experienced supervisor at BSc, MSc, and PhD levels, with a focus on projects that explore trauma, identity, and the darker aspects of human occupation. She has led a doctoral student to completion and serves as an APR Reader for PhD candidates. She has also contributed to pedagogical scholarship through co-editing The Doctoral Journey as an Emotional, Embodied, Political Experience , reflecting her commitment to reflexive, relational supervision. She has been actively involved in knowledge exchange, including an Erasmus+ teaching mobility to Germany, and has served as an external examiner at Teesside University and panel member at York St John University. She co-chairs the Neurodivergent Staff Network at the University of Brighton and is committed to creating inclusive academic and clinical environments.

• Marketing Analytics
• Data-Driven Design
• Preference Measurement
• +۷ مورد دیگر

Ryan Dew is an Assistant Professor of Marketing and the Govil Family Faculty Scholar at the Wharton School of the University of Pennsylvania. He is affiliated with the Wharton AI and Analytics Initiative, Wharton Human-AI Research, and the Penn Eidos LGBTQ+ Health Initiative. His research bridges marketing, data science, and machine learning, with a focus on developing interpretable computational tools for customer analytics and design. Research Interests: His work centers on marketing analytics, data-driven design, preference measurement, and decision support. He leverages Bayesian nonparametrics, deep generative models, and representation learning to analyze unstructured data (e.g., text, images) in marketing contexts such as branding, logo design, and influencer selection. His methodological approach emphasizes flexibility and interpretability in modeling consumer behavior. The recent publications reflect a strong trend toward integrating AI and machine learning into core marketing problems—particularly in customer segmentation, product design, and influencer marketing. There is a clear emphasis on adaptive systems, dynamic modeling, and the use of rich data sources to enhance decision-making. Scientific Awards: 2022 Frank M. Bass Award 2018 INFORMS SMS Doctoral Dissertation Award 2018 ASA Marketing Section Doctoral Research Award Finalist, 2019 Frank M. Bass Award Finalist, 2020 Paul Green Award Finalist, 2022 John D.C. Little Award 2023 MSI Young Scholar Wharton School's 2024-2025 Govil Family Faculty Scholar Wharton Teaching Excellence Award Advising and Grants: Ryan Dew teaches PhD and MBA courses including MKTG9570 (Empirical Models in Marketing) and MKTG7120 (Data & Analysis for Marketing Decisions). He advises PhD students through dissertation supervision (MKTG9950) and independent study. He co-organizes a cross-school virtual reading group on probabilistic ML and Bayesian computation for junior faculty and PhD students, indicating active mentorship and collaboration. While specific grants are not listed, his research awards and scholar designation suggest competitive funding support. Labs and Teams: He is actively involved in the Wharton AI and Analytics Initiative and Wharton Human-AI Research, suggesting participation in interdisciplinary research teams focused on AI applications in business. His collaborations span multiple institutions and disciplines, including psychology, computer science, and statistics.