جست‌وجوی استاد و پژوهشگر

Xiaoyu Zhangمشاهده پروفایل

استادیار

• data visualization
• visual analytics
• human-computer interaction
• +۶ مورد دیگر

Xiaoyu Zhang is a tenure-track Assistant Professor at the School of Creative Media, City University of Hong Kong , where she conducts research at the intersection of computer science and art design. Her work focuses on integrating data visualization and artificial intelligence (particularly natural language processing ) for applications in education , smart manufacturing , and human well-being . She previously held a Postdoc Research Fellow position at the ETH AI Center , Zurich, and earned her Ph.D. in Computer Science from University of California, Davis under Prof. Kwan-Liu Ma, a Master’s from Zhejiang University, and a dual bachelor’s in Digital Media Art/Advertising from Xiamen University. Ph.D. in Computer Science, University of California, Davis M.Sc. in Computer Science, Zhejiang University B.Sc. in Digital Media Art, Xiamen University Her research bridges visual analytics , human-AI collaboration , and explainable AI through interdisciplinary methods. Key application domains include education technology, industrial AI, and health informatics. Recent publications (2021-2025) span venues like IEEE TVCG, IEEE VIS, ACM CHI, and ACL, with a 2022 Honorable Mention Best Paper Award at IEEE VIS. She has also secured multiple US patents and received recognition as UC Davis' Best Graduate Researcher in 2022. She has served as Associate Chair at ACM CHI (2025, 2026), organized the 6th Workshop on Visualization for AI Explainability at IEEE VIS 2023, and contributed to the AI House Davos 2024 committee. Industrial experience includes internships at Meta , Microsoft Research Asia , and Bosch Research . Her teaching portfolio spans courses in Information Visualization , Creative Coding , and Media Computing at CityU, ETH Zurich, and UC Davis.

Johannes Gräffمشاهده پروفایل

دانشیار

• Neuroscience
• Bioengineering
• Control Systems
• +۳ مورد دیگر

Johannes Gräff is an Associate Professor at EPFL, affiliated with the Bioengineering Institute (BMI) under the School of Life Sciences (SV). He also serves as Director of the Neuroscience Doctoral Program (EDNE) and holds roles in the Synapsy Research Center (SRC). His research focuses on interdisciplinary applications of control systems, robotics, and data-driven optimization in bioengineering and manufacturing. Gräff leads the Prof. Gräff Unit (UPGRAEFF) and teaches courses on neuroscience and general biology. He advises multiple doctoral students and contributes to academic governance through roles in doctoral commissions and program management. His expertise spans adaptive control, Bayesian optimization, and closed-loop systems, with applications in precision engineering, additive manufacturing, and neuroscientific instrumentation. Gräff’s work bridges theoretical control methodologies with practical industrial and biomedical challenges, emphasizing safety and efficiency in automation. He oversees the Neuroscience Doctoral Program, guiding interdisciplinary research training, and maintains administrative responsibilities in EPFL’s academic and research structures. His lab (graefflab.epfl.ch) focuses on advancing technologies for autonomous systems and precision control in dynamic environments.

John T. Evans IVمشاهده پروفایل

استادیار

• Machine Systems Engineering
• Precision Agriculture
• Agricultural Automation
• +۳ مورد دیگر

John T. Evans IV is an Assistant Professor in the Department of Agricultural & Biological Engineering at Purdue University. He specializes in Machine Systems and Automation, focusing on agricultural machine design, precision agriculture technologies, and automated systems modeling. His research bridges robotics, digital agriculture, and sustainable farming practices, contributing to advancements in autonomous navigation and machine learning applications for crop management. Bachelor's in Biosystems Engineering, University of Kentucky Master's in Biosystems Engineering, University of Kentucky PhD in Biological Systems Engineering, University of Nebraska–Lincoln Evans' work centers on optimizing agricultural machinery through synthetic vision systems, digital twin environments, and deep learning algorithms. Key areas include autonomous roadside mowing , corn row identification , and transfer performance optimization for robotic systems. His publications reveal interdisciplinary trends combining robotics, precision agriculture, and computational modeling. He actively mentors Purdue's Quarter Scale Tractor Team and contributes to the American Society of Agricultural and Biological Engineers. His research involves collaboration with Purdue's ADM Agricultural Innovation Center and Discovery Park facilities, focusing on automation, data science, and machine learning in agricultural contexts.

Karin E. Ouchidaمشاهده پروفایل

استادیار

• Geriatric Medicine
• Internal Medicine
• Care Transitions Safety
• +۳ مورد دیگر

Karin E. Ouchida, M.D. is an Assistant Professor of Medicine at Weill Cornell Medical College since 2011. She specializes in Geriatric Medicine and serves as Co-Director of the Geriatrics Fellowship and Clinical Director of the Geriatrics House Call Program at Montefiore Medical Center. Her work emphasizes improving care transition safety through clinical practice, medical education, and translational research. Education : M.D. from University of California San Diego School of Medicine (2002), B.A. from Stanford University (1997) Clinical Expertise : Transition of Care, Home Care Visits Research Focus : Dr. Ouchida's scholarly work addresses systemic challenges in elderly care, including care handoff protocols, ageism mitigation, and home healthcare optimization. Her 2024 JAMA publication highlights falls prevention strategies for aging populations. Publications : Spanning 2009-2024, her research explores care transition innovations, EHR training methodologies, and geriatric education frameworks.

Francesca Polverinoمشاهده پروفایل

استاد

• Chronic Obstructive Pulmonary Disease (COPD)
• Lung Immunology
• Transcriptomics
• +۳ مورد دیگر

Francesca Polverino, MD, PhD, is the Lester and Sue Smith Full Professor and tenured Professor of Medicine at Baylor College of Medicine (Houston, Texas), leading the COPD translational research program. She previously held roles at Harvard Medical School (Boston, MA) and the University of Arizona (Tucson, AZ). Her research focuses on COPD pathobiology, emphasizing precision medicine approaches to identify therapeutic targets for COPD subphenotypes. She holds dual medical and pharmaceutical degrees from Italian universities, with advanced training including postdoctoral work at Harvard and fellowships across Europe. Education & Training MD: University of Naples (2006) PharmD: University of Parma (2017) Residency: University of Messina (2011) Postdoctoral Fellowship: Harvard Medical School (2011–2015) Research Focus Dr. Polverino’s work addresses COPD’s multifactorial origins, including environmental, genetic, and developmental contributors. Key areas include B cell dysregulation in emphysema-predominant COPD, spatial transcriptomics for disease biomarker discovery, and preclinical validation of therapies like metformin. She pioneered the use of non-human primate models for COPD and identified protective molecules such as CC16 and ADAM8. Awards & Recognition 2023 Parker B Francis Award (American Thoracic Society) 2022 European Respiratory Society COPD GOLD Medal 2019 Medal of Honor for Scientific Merits (Italian Republic) 2017 Rising Star of Research Award (American Thoracic Society) Lab & Funding Her Polverino Lab at Baylor integrates omic platforms (radiomics, transcriptomics) to dissect COPD mechanisms. Major funders include NIH/NHLBI (R01 grants), VICTORY Houston, and industry partnerships. She co-leads the COPDiNET international research consortium, advancing global COPD translational efforts. Contact Laboratory: Methodist Neurosensory Center, Houston, TX Phone: (617) 306-8999

• Interprofessional Collaboration
• Digital Learning Environments
• Health Care Education
• +۲ مورد دیگر

Kaisa Hartikainen is a Senior Lecturer at Metropolia University of Applied Sciences , specializing in interprofessional education development and digital learning environments. She serves as Head of the Master's Degree Programme in Developing Rehabilitation while pursuing doctoral research at the University of Turku. Master of Health Care Clinical Osteopath Physiotherapist Research Focus: Her work examines interprofessional collaboration, emphasizing educational planning and implementation strategies. She explores how digital learning environments can enhance interdisciplinary teaching and client-centered healthcare approaches. Publication Trends: Recent articles address interprofessional competency frameworks, digital transformation in healthcare education, and practical implementation tools. Key themes include collaborative problem-solving, curriculum innovation, and ethical practice models. Contact: Kaisa.Hartikainen2@metropolia.fi Competences: Interprofessional collaboration, educational planning, digital learning, ethics, teaching innovation

• Medical Informatics
• Public Health Surveillance
• Patient Matching
• +۵ مورد دیگر

Shaun J. Grannis is a leading Research Professor at the Regenstrief Institute and Indiana University School of Medicine , specializing in Medical Informatics . His work focuses on patient matching, health data interoperability, and public health surveillance. Research Interests : Patient identification strategies, privacy-preserving record linkage, synthetic data generation, and leveraging health information exchanges (HIE) for population health analytics. Articles : Over 86 publications (2002-2025) addressing real-time disease detection, data quality metrics, and EHR interoperability. Key trends include syndromic surveillance , social determinants of health , and machine learning in clinical data . Awards : Recognized for groundbreaking work in public health informatics and synthetic data applications. Collaborations : Frequent partnerships with institutions like AMIA , JAMIA , and BMC Medical Informatics on projects enhancing healthcare data systems. Grants : Involved in NIH-funded initiatives for national patient-centered research networks.

Julia Phillippiمشاهده پروفایل

استاد

• Perinatal Care
• Midwifery Care and Outcomes
• Access to Healthcare
• +۴ مورد دیگر

Dr. Julia Phillippi is a Professor and Chair of the Family Care Community at the Vanderbilt University School of Nursing (VUSN). She is a Certified Nurse-Midwife (CNM) with expertise in maternal and perinatal care, midwifery education, and healthcare access. Her research focuses on optimizing birth center models, interprofessional care, and reducing disparities in perinatal care. Dr. Phillippi leads VUSN’s nurse-midwifery program and provides clinical care at Vanderbilt University Medical Center. Education: MSN from Vanderbilt University and PhD from the University of Tennessee Knoxville. Research Interests: Access to perinatal care, birth center care models, midwifery outcomes, and teaching/learning environments. Her work has been funded by the National Institute of Nursing Research, Agency for Healthcare Research and Quality, and others. Grants & Projects: Includes leadership in the Midwifery Education Access & Diversity (MEADOW) program, opioid-related maternal care studies, and interprofessional collaboration trials. She collaborates with the American College of Obstetricians & Gynecologists. Awards: Fellow of the American Academy of Nursing (2018), Best Review Article Award (2022), and multiple teaching and peer review honors. Her work emphasizes equity, innovation in telemedicine, and reducing cesarean rates through evidence-based practices. Labs/Teams: Leads the VUSN Midwifery Practice Group and collaborates on initiatives like the Vanderbilt Integrated Center of Excellence in Maternal and Pediatric Precision Therapeutics (VICE-MPRINT).

Charlotte Gerritsenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Sentiment Analysis
• Agent-Based Modeling
• +۷ مورد دیگر

Dr. Charlotte Gerritsen is an Associate Professor in Artificial Intelligence at the Faculty of Science, Vrije Universiteit Amsterdam (VU), and an affiliated member of the Network Institute. Her research focuses on agent-based modeling of social and emotional dynamics, emotion contagion in virtual environments, and applications of AI in crowd management, mental health, and criminology. She has published extensively on topics such as sentiment analysis, gamification, and the ethical implications of AI in public safety. Her work integrates computational methods with social science theories, addressing challenges like real-time violence detection, avatar-mediated emotion recognition, and serious gaming for resilience training. She has supervised 5 PhD theses and teaches courses on AI and Law, Artificial Intelligence, and Socially Aware Computing. Her research project, 'Integrating sentiment analysis in real-time crowd management,' highlights her commitment to bridging technology with societal needs. Education: PhD in Artificial Intelligence (implied by title 'dr.') Affiliations: Faculty of Science, Network Institute Key Research Areas: Emotion Contagion, Agent-Based Modeling, Crowd Behavior, Gamification Her articles analyze topics like emotion contagion in crowds, AI-driven crowd control, and virtual training systems. While no specific awards are listed, her prolific publication record underscores her academic impact. She advises students on criminological and computational social science projects and collaborates internationally in criminology, healthcare, and AI ethics.

Anna Spagnolliمشاهده پروفایل

استاد

• Usable Privacy
• Technology Acceptability
• Human-Computer Interaction
• +۷ مورد دیگر

Anna Spagnolli is a Full Professor at the University of Padua, specializing in Human-Computer Interaction (HCI), Usable Privacy, and Technology-Mediated Interaction. Her research focuses on ethical AI, IoT systems, virtual reality (VR) applications in prosocial behavior, and digital health assistants. She has led projects like SAFE GYMS (IoT for safety in sports/work environments) and DOMHO (IoT for co-housing). Her work bridges technology design with user needs, emphasizing transparency, accessibility, and ethical considerations. Research Interests: Usable Privacy and Security AI Ethics and User-Centered Design Virtual Reality for Behavioral Training IoT in Healthcare and Safety Qualitative Methods in HCI Key Contributions: Developed frameworks for transparency in healthcare AI and digital assistants. Explored prosocial behavior through VR simulations of emergencies. Designed inclusive mobile apps (e.g., SAFE TALK) for social support during isolation. Her publications span over two decades, addressing topics from sustainable technology to workplace ergonomics with collaborative robots. Despite no listed awards, her extensive academic output reflects significant influence in HCI and technology ethics.

Guido W.J. Bruinsmaمشاهده پروفایل

استادیار

• Digital Transformation
• Serious Game Design
• Organizational Change
• +۳ مورد دیگر

Dr. Guido W.J. Bruinsma is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente. His research focuses on serious game design for organizational digital transformation, particularly in areas like employee behavior management, human resources strategy, and business-IT alignment. He actively contributes to the United Nations Sustainable Development Goals through his work. His research explores how serious games can facilitate complex organizational changes, especially in adapting to digital transformation challenges. Key topics include strategic human resources management, employee engagement strategies, and the design of interactive tools for organizational development. Recent publications highlight innovations in serious game frameworks for digital adoption and organizational strategy alignment. His work bridges educational technology with practical business challenges, evidenced by contributions to conferences like ECGBL and simulation methodologies in Formula One driver performance. No scientific awards are explicitly mentioned in the provided materials. Dr. Bruinsma has supervised two academic works, though specific student names are not listed here. His research networks include international collaborations focused on digital transformation and games-based learning methodologies.

Leah Gerberمشاهده پروفایل

مدرس ارشد

• Literary Translation
• Australian Literature
• Children's Literary Translation
• +۳ مورد دیگر

Leah Gerber is a Senior Lecturer at Monash University and a core member of the Monash Intercultural Lab (MIL). She holds a PhD in German Studies from Monash University (2008), supported by DAAD funding for research at Humboldt University, Berlin. Her work focuses on literary translation, Australian literature in global contexts, and multilingual communication strategies for culturally diverse communities. Gerber’s research intersects with UN SDGs 4 (Quality Education) and 10 (Reduced Inequalities), emphasizing equitable access to language services and cultural understanding. Education: Bachelor’s in German Studies, Monash University (2002) DAAD Scholarship for studies at Free University, Berlin (2001) PhD in German Studies, Monash University (2008), with DAAD-funded research in Berlin Research Interests: Literary and creative translation methodologies Children’s literature translation dynamics Cross-cultural mediation in multilingual contexts Technology-enhanced translator training (e.g., VR for family violence interpreters) Key Projects: Primary Investigator in initiatives like Building Mental Health Capacity of the Auslan Workforce (2024–2026) and Best Practice Guidelines for Co-designing Community Translations (2024). Her work bridges academic research with practical applications, including training bilingual workers and enhancing healthcare communication for CALD populations. Awards: Recipient of DAAD scholarships for undergraduate and PhD studies, recognizing her contributions to intercultural research. Labs/Teams: Leads the Monash Intercultural Lab, fostering collaborative research on translation, migration, and community engagement.

• Human-Computer Interaction
• Learning Analytics
• Learning Technologies
• +۶ مورد دیگر

Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.

Jeffrey Proudfootمشاهده پروفایل

دانشیار

• Cybersecurity Regulations
• Corporate Governance of Cyber Risk
• Behavioral Information Security
• +۱ مورد دیگر

Dr. Jeffrey Proudfoot is an Associate Professor and Chair of the Computer Information Systems Department at Bentley University. He holds a Research Affiliate position at MIT's Cybersecurity at MIT Sloan (CAMS) center and coordinates the Business Core course CS305. He earned his Ph.D. from the University of Arizona, and M.S./B.S. from the University of Utah. Teaching focuses on business process management, ERP systems, and information security. His research examines cybersecurity regulations, corporate board governance of cyber risk, behavioral information security, and deception detection. Recent publications explore cybersecurity investment decisions, regulatory impacts, and human factors in security compliance. Articles demonstrate consistent focus on organizational risk management and behavioral aspects of cybersecurity. Awards include: AIS Best Information Systems Publication Award Leads multiple industry partnerships with organizations including Google, Boston Consulting Group, and Department of Homeland Security. Research has been presented to congressional committees and Fortune-50 boards.

Chinthaka Damith Balasooriyaمشاهده پروفایل

دانشیار

• Medical Education
• Curriculum Design
• Teamwork and Collaborative Learning
• +۳ مورد دیگر

Associate Professor Chinthaka Damith Balasooriya is a nationally recognized expert in Medical Education at UNSW Sydney. He holds the academic rank of Associate Professor in the Department of Medical Education, Faculty of Medicine. His research focuses on Educational Design Research, addressing practical challenges in medical and higher education through grants such as a Category 1 award from the National Heart Foundation of Australia. His work includes developing tools like the Guideline Enhancement Tool (GET) and the Collaborative Learning Development Exercise (CLeD-EX), which enhance clinical and collaborative learning. Dr. Balasooriya’s expertise has earned awards including the Faculty of Medicine Teaching Excellence Award and an Australian Learning & Teaching Council Citation. His research interests span medical education pedagogy, curriculum design, teamwork, and the integration of technology in healthcare training. He has supervised doctoral projects leading to innovations in collaborative learning and clinical practice. His publications span 40+ journal articles, book chapters, and conference papers, addressing topics like AI in education, continuing medical education, and healthcare workforce development. He actively contributes to global health education through international collaborations and scoping reviews of medical education practices in Asia and the Eastern Mediterranean. Dr. Balasooriya’s work emphasizes practical solutions for educational challenges, bridging theory and application in medical training. His current projects explore future trends in health professional education and the ethical implications of AI in medical learning environments.