جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +۳ مورد دیگر

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

Miglena K. Komfortiمشاهده پروفایل

پزشک-پژوهشگر

• Breast Pathology
• Gynecologic Pathology
• Diagnostic Pathology
• +۳ مورد دیگر

Miglena K. Komforti, D.O. is a Physician Scientist in the Department of Laboratory Medicine and Pathology at the Mayo Clinic in Jacksonville, Florida. With expertise in breast pathology , gynecologic pathology , and diagnostic precision , she bridges clinical practice and research. Education: Medical degree (Nova Southeastern University), Fellowship (Montefiore Medical Center, Duke University) Professional Memberships: Florida Society of Pathologists, United States and Canadian Academy of Pathology Research Interests focus on breast cancer diagnostics, HER2 testing, and rare pathologies. Her work addresses challenges in surgical pathology, including acinar/tubule formation in carcinomas and metastatic differentiation. She contributes to immunohistochemistry standardization and multimodal imaging correlation . Scientific Awards : Above and Beyond Teamwork Award (2024) Above and Beyond Recognition Program (2024) Employee Recognition Program (2023) Mentorship includes guiding a Phlebotomy student toward anatomic pathology and contributing to educational case studies (e.g., Ductal Carcinoma In Situ). Her publications span breast tumor biology , endometrial cancer , and rare clinical-pathological phenomena .

Moh H. Malekمشاهده پروفایل

استاد

• Exercise Physiology
• Electromyography
• Muscle Physiology
• +۵ مورد دیگر

Moh H. Malek is a Professor in the Department of Health Care Sciences within the Eugene Applebaum College of Pharmacy and Health Sciences at Wayne State University. He holds a Ph.D. in Exercise Physiology from the University of Nebraska-Lincoln and completed postdoctoral training in Molecular/Cellular Exercise Physiology at the University of California, San Diego School of Medicine. His academic journey includes an M.S. in Exercise Physiology from California State University Fullerton and a B.A. in Biology and Psychology from The Claremont Colleges (Pitzer College). Dr. Malek's research focuses on exercise physiology with particular emphasis on electromyography, muscle physiology, mitochondrial function, fatigue threshold assessment, and statistical methods in kinesiology. His work bridges fundamental physiological mechanisms with practical applications in exercise science. He has made significant contributions to understanding neuromuscular fatigue mechanisms, the effects of various interventions on exercise performance, and mitochondrial bioenergetics in aging and disease contexts. His research integrates both human and rodent models to explore fundamental physiological processes. His publications demonstrate consistent productivity with recent work focusing on mitochondrial transplantation in skeletal muscle bioenergetics, electromyographic fatigue threshold methodologies, and the interplay between cognitive and physical fatigue. Dr. Malek has published extensively in the Journal of Strength and Conditioning Research, Muscle and Nerve, and other prominent physiology journals. His research program has evolved from foundational work on electromyographic fatigue threshold testing to more recent investigations of mitochondrial function in aging and disease, reflecting both continuity and expansion of his scholarly interests. Among his notable scientific achievements are receiving the Distinguished Graduate Faculty Award, being named the first faculty in his department to receive the Charles H. Gershenson Distinguished Faculty Fellow honor, and earning the Outstanding Graduate Mentor award from Wayne State University. He also received the President's Award for Excellence in Teaching and the Century Citation Club honor. Dr. Malek has mentored numerous graduate students, with several DPT students completing research projects under his primary mentorship. His teaching responsibilities include Advanced Exercise Physiology, Research Design & Methodology, and Research Practicum courses. He has also contributed significantly to the academic community through textbook authorship, including "NSCA's Essentials of Personal Training" and "Advanced Statistics for Kinesiology and Exercise Science."

Amanda Díaz-Garcíaمشاهده پروفایل

دانشیار

• Clinical Psychology
• Mental Health
• Emotional Disorders
• +۵ مورد دیگر

Amanda Díaz-García serves as an Associate Professor at the University of Zaragoza in the Department of Psychology and Sociology, where she contributes to the LABPSITEC research group. Her career demonstrates a clear progression from PhD student at Jaume I University to her current faculty position, maintaining consistent focus on clinical psychology research and education. Her educational background includes studies at Jaume I University (2013-2016) and the National University of Distance Education (2004-2010), where she earned her Psychology degree. This educational foundation has supported her specialization in evidence-based psychological interventions. Dr. Díaz-García's research primarily focuses on the application of Information and Communication Technologies for mental health promotion, with particular emphasis on emotional disorders. Her work integrates emotion regulation, positive affect regulation, and transdiagnostic treatment approaches. She has developed significant expertise in Cognitive Behavioral Therapy applications, particularly in blended (online and face-to-face) formats for treating anxiety and depressive disorders. Her research demonstrates how technology can bridge gaps in mental healthcare delivery while maintaining treatment efficacy. Analysis of her publication record reveals strong thematic consistency across 66 publications, with recent work concentrating on transdiagnostic interventions, blended therapy models, and pandemic-related mental health impacts. Her research shows increasing sophistication in methodology, progressing from basic validation studies to complex randomized controlled trials and meta-analyses. The work consistently addresses implementation challenges in mental healthcare systems while maintaining scientific rigor. As an educator, Dr. Díaz-García has developed innovative teaching methods for psychology education, including gamification approaches using tools like Quizizz for psychopathology instruction. Her commitment to training future mental health professionals extends to developing emotion regulation skills training specifically for graduate students in health psychology. Her research collaborations span multiple Spanish institutions, particularly with Jaume I University, indicating strong professional networks in the Spanish psychology research community. The LABPSITEC group appears to be her primary research home, focusing on technology applications in psychological science and practice.

Xiaoyuan Xieمشاهده پروفایل

استاد

• software testing
• fault localization
• AI for software engineering
• +۶ مورد دیگر

Xiaoyuan Xie is a Professor at the School of Computer Science, Wuhan University, where he leads a research group focused on software engineering, particularly in software testing, fault localization, and the intersection of AI and software engineering. His work bridges theoretical foundations with practical applications in software quality assurance and development processes. His research interests span software testing, fault localization, program slicing and analysis, debugging techniques, search-based software engineering, evolutionary computing, and machine learning applications in software engineering. He has pioneered work in metamorphic testing, particularly for AI systems, and developed innovative approaches for fault localization that consider exception trigger streams and parallel debugging contexts. Xie's publication trend shows a strong focus on applying AI techniques to software engineering problems, with recent work emphasizing metamorphic testing for AI systems, code search, debugging assistance, and fault localization enhanced by deep learning. His research bridges traditional software engineering with modern AI techniques, creating novel solutions for testing and debugging complex software systems. ICST 2025 Most Influential 10-years Journal First Paper Award Multiple ACM SIGSOFT Distinguished Paper Awards (2024, 2022, 2021) CCF Open Source Innovation Competition First Prize 2024 CCF NASAC Software Innovation Award for Young Researchers 2021 ACM SIGEVO HUMIES 2017 Silver Medal Luojia Young Scholar, Wuhan University 2016 Professor Xie has supervised numerous PhD and Master's students who have gone on to prestigious positions at companies like Alibaba, Tencent, and ByteDance, as well as academic institutions including Yale University and the Hong Kong University of Science and Technology. His research is supported by multiple national grants, including NSFC重点项目 (key projects), 国家重点研发计划 (key R&D programs), and the Research Fund for International Excellent Young Scientists from NSFC.

• Sleep Apnea
• Cardiovascular Diseases
• Hypertension
• +۴ مورد دیگر

Neda Esmaeili, Ph.D. is a Research Fellow in Medicine at Brigham and Women's Hospital, specializing in sleep medicine research with a particular focus on sleep apnea and its cardiovascular implications. Her work is conducted within the Department of Medicine and involves extensive collaboration with leading researchers in the field. Dr. Esmaeili's primary research interests center on obstructive sleep apnea, hypoxic burden measurement, cardiovascular consequences of sleep disorders, and treatment efficacy assessment. Her work bridges clinical sleep medicine with cardiovascular physiology, examining how sleep apnea contributes to hypertension, atherosclerosis, and other cardiovascular conditions. She has developed expertise in analyzing physiological burdens of sleep apnea and their relationship to adverse health outcomes. Analysis of her recent publications (2023-2025) reveals a strong focus on hypoxic burden as a key metric in sleep apnea severity assessment and treatment response. Her research increasingly incorporates community-based cohort studies and meta-analyses to establish population-level relationships between sleep apnea phenotypes and cardiovascular outcomes. Much of her work examines how specific interventions affect physiological parameters beyond traditional apnea-hypopnea index measurements. Dr. Esmaeili maintains active collaborations with a network of sleep researchers including Ali Azarbarzin, Ludovico Messineo, Scott Sands, and Susan Redline. Her research appears to be supported by institutional funding from Brigham and Women's Hospital and likely involves participation in multi-center studies given the scale of some of her meta-analyses involving thousands of participants. Her research team appears to be part of a larger sleep medicine research infrastructure at Brigham and Women's Hospital that has access to advanced physiological monitoring equipment, multi-ethnic cohort data, and clinical trial infrastructure for testing both pharmacological and device-based interventions for sleep apnea.

Steven Zhouمشاهده پروفایل

استادیار

• leadership
• personality
• vocational psychology
• +۱۰ مورد دیگر

Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College, where he leads the STATS Lab (www.statslabatcmc.com). His academic work bridges quantitative methods with psychological research, focusing on leadership, personality, and vocational psychology. With methodological expertise in psychometrics, machine learning, and data visualization, he actively contributes to both academic and practitioner communities through research, teaching, and consulting. Dr. Zhou's educational background includes: PhD in Organizational Psychology + Certificate in Computational Social Sciences from George Mason University BA in Organizational Psychology + Certificate in Conflict Resolution from Pepperdine University His research program centers on developing and refining psychological assessments while investigating bias in measurement systems. Dr. Zhou specializes in forced-choice personality assessments, leadership evaluation methodologies, and career calling research. His work consistently addresses the gap between academic research and practical application in organizational settings, with recent projects incorporating large language models and agent-based simulations to study complex behavioral phenomena. Dr. Zhou's publication record shows a clear trajectory toward increasingly sophisticated methodological approaches to organizational psychology questions. His recent work demonstrates growing integration of computational techniques (machine learning, NLP) with traditional psychological research, while maintaining strong connections to practical organizational applications. The research consistently addresses measurement challenges in leadership assessment and career development. His notable scientific achievements include: 2025 Jablin Dissertation Award from the International Leadership Association and Jepson School of Leadership Studies 2025 Chapman Dissertation Award from the Network of Leadership Scholars and Academy of Management 2023 Dissertation Research Award from the American Psychological Association 2022 Free Inquiry Grant from the Foundation for Individual Rights and Expression 2022 Graen Grant for Student Research on Leaders and Teams from SIOP 2021 Kenneth E. Clark Student Research Award from ILA and Center for Creative Leadership 2021 Outstanding Graduate Student Instructor from GMU Department of Psychology Dr. Zhou actively mentors both graduate and undergraduate students, with numerous student co-authors across his publication record. He has secured nearly $40,000 in external research funding to support his work on leadership assessment and psychometric methodology. His professional service includes editorial roles for multiple journals and leadership positions within the Society for Industrial and Organizational Psychology. As director of the STATS Lab, Dr. Zhou leads a research team focused on applying quantitative methods to understand leadership, career development, and personality. The lab's five research pillars include Psychometrics & Measurement Science, Bias in Measurement & Analytics, Leadership Assessment & Team Dynamics, Integrating Novel Methods into Research, and Career Development & Vocational Psychology, all emphasizing both methodological rigor and practical application.

• Sports Medicine
• Diabetes Research
• Exercise Physiology
• +۲ مورد دیگر

Christian Brinkmann serves as Professor of Fitness and Health III at IST University of Applied Sciences, teaching Sports Medicine Basics, Diagnostics and Training Sciences, and Medical Fitness Training modules. He completed his habilitation at German Sport University Cologne in molecular and cellular sports medicine/sports biology after studying Sports Science and Biology. Education: Sports Science and Biology studies PhD and Habilitation at German Sport University Cologne (molecular/cellular sports medicine) Research Focus: His primary investigations examine exercise interventions for diabetes management, interactions between physical activity/nutrition/medications, and wearable technology applications for health monitoring. This work directly informs clinical practice through evidence-based exercise prescriptions for diabetic patients. Publication Trends: Recent publications demonstrate concentrated expertise in Type 2 Diabetes Mellitus (T2DM), featuring systematic reviews, clinical trials, and German Diabetes Association practice guidelines. Key themes include glucose regulation during exercise, technology-assisted monitoring, and personalized exercise medicine frameworks developed through international collaborations. Professional Contributions: Brinkmann leads nationally and internationally funded research projects while maintaining active roles as journal reviewer, conference speaker, and professional association member. His practical healthcare experience includes health center work and adult education freelancing, bridging academic research with clinical implementation.

Matthias Hagenمشاهده پروفایل

استاد

• Information Retrieval
• Natural Language Processing
• Web Data Mining
• +۳ مورد دیگر

Matthias Hagen is Professor of Databases and Information Systems at Friedrich-Schiller-Universität Jena. His research focuses on information retrieval (query understanding, conversational search, comparative questions, known-item search, user simulation), natural language processing (clickbait, argumentation), and web data mining. He earned his Ph.D. from Friedrich-Schiller-Universität Jena with a thesis on algorithmic complexity, and previously led research groups at Bauhaus-Universität Weimar and Martin-Luther-Universität Halle-Wittenberg. His current work develops novel methods for retrieval-augmented generation evaluation, neural information retrieval efficiency, and user-centered search systems. Recent publications examine crowdsourcing for RAG evaluation, LLM-based relevance assessment, corpus subsampling techniques, and child-friendly web search evaluation frameworks. He contributes to open web search initiatives and develops tools like the TIREx Tracker for experimental reproducibility in IR research. Dr. Hagen serves on program committees for major conferences including SIGIR, ECIR, and ACL. His research group participates in competitive evaluations such as TREC, CLEF, and Touché. Recent projects explore axiomatic approaches to retrieval, argumentation systems, and the impact of search result quality on decision-making.

Adele McCormickمشاهده پروفایل

دانشیار

• Virology
• Antiviral Drug Resistance
• Human Endogenous Retroviruses
• +۲ مورد دیگر

Dr. Adele McCormick is Reader in Molecular Virology at the University of Westminster's School of Life Sciences, where she leads the Genomics and Infectious Diseases research group. She coordinates the MSc Biomedical Science program and teaches molecular biology and clinical microbiology. Education background: PhD in Sustainable Energy Systems, University of Sheffield MSc in Clinical Pathology, University of Sheffield BSc in Biochemistry and Microbiology, University of Sheffield Her research focuses on viral pathogenesis, antiviral resistance mechanisms in HIV/HCV, and the role of endogenous retroviruses in neurological disorders. She established the university's genomics facility for BSL-2 pathogen sequencing and collaborates internationally on antiviral development projects. Recent publications emphasize molecular diagnostics, SARS-CoV-2 therapeutics, and retroviral involvement in ALS. Her work shows increasing focus on nanoparticulate antivirals and long-read sequencing applications since 2020. Dr. McCormick has secured substantial research funding including an ALS Association grant ($325,000) and directs the Westminster virology research group. She is a Fellow of the Royal Society of Biology and serves on editorial boards for virology journals.

• Cancer Research
• Uveal Melanoma
• Melanoma
• +۵ مورد دیگر

Aaron Beasley is a Research Fellow at the School of Medical and Health Sciences, Edith Cowan University , leading the Cancer Genomics research group within the Centre for Precision Health . His research focuses on Uveal Melanoma, Melanoma, and liquid biopsy techniques for cancer detection. Doctor of Philosophy (2021) , Edith Cowan University Master of Science (Human Biology, 2017) , Edith Cowan University Bachelor of Science (Biomedical Science, 2014) , Edith Cowan University His work spans Next Generation Sequencing, circulating tumour DNA (ctDNA), and circulating tumour cells (CTCs) across Ovarian Cancer, Lung Cancer, and Melanoma . Recent publications highlight applications of Spatial Transcriptomics, Single-Cell Genomics, and T-cell Receptor (TCR) Repertoire Analysis in tumor heterogeneity and immunotherapy response prediction. Grants include funding from the Cancer Research Trust ($1,167,284) and Spinnaker Health Research Foundation for projects on melanoma brain metastases and immunotherapy resistance . He supervises PhD students exploring TCR/HLA interactions, Tumour-Infiltrating Lymphocytes, and multi-omics approaches to cancer diagnostics.

• Clinical Psychology
• Psychosomatics
• Behavioral Medicine
• +۷ مورد دیگر

Prof. Dr. Winfried Rief is a leading Professor in Clinical Psychology and Psychotherapy at the Department of Psychology, Philipps-Universität Marburg. He heads a multidisciplinary team conducting cutting-edge research in chronic pain, depression, anxiety disorders, and behavioral addictions. His work bridges clinical psychology with psychosomatics and behavioral medicine, focusing on the role of expectations in treatment outcomes and disease progression. Key Research Areas: Expectation-Placebo Effects, ICD-11 Chronic Pain Classification, Biopsychosocial Mechanisms, Translational Psychotherapy, Network Analysis in Mental Health Projects and Collaborations: He leads the LOEWE Center DYNAMIC , a €33 million initiative (2024-2027) involving Marburg, Frankfurt, Gießen, TU Darmstadt, and international partners. He co-chairs the ICD-11 Chronic Pain Classification Taskforce with the IASP and WHO, and directs the PSY-HEART II Trial evaluating preoperative psychological interventions for heart surgery patients. His work spans experimental studies, clinical trials, and global field testing of diagnostic systems. Recent Publications highlight his expertise in expectation dynamics, chronic pain mechanisms, and translational research. Key themes include placebo-nocebo effects, network approaches to mental health, and improving patient outcomes through evidence-based classifications like ICD-11. His team explores AI integration in psychotherapy, mindfulness interventions for pain, and the psychosocial impact of persistent physical symptoms.

Laura M. Lechugaمشاهده پروفایل

استاد

• Nanophotonics
• Biosensor Technology
• Lab-on-a-Chip Platforms
• +۳ مورد دیگر

Prof. Laura M. Lechuga is a Full Professor at the Spanish National Research Council (CSIC) and leads the Nanobiosensors and Bioanalytical Applications Group at the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Barcelona, Spain. Her research focuses on nanophotonic biosensors, lab-on-a-chip platforms, and their clinical and environmental applications. Key Research Areas: Nanoplasmonic biosensors, silicon nanophotonics, surface biofunctionalization, and point-of-care diagnostics. With over 200 publications, 8 patent families, and 300+ invited talks, she has co-founded two spin-off companies. Her work spans biomedical diagnostics for infections (e.g., SARS-CoV-2, H. pylori) and environmental monitoring, integrating advanced photonics into portable systems. Scientific Distinctions: Recipient of multiple unspecified awards for her contributions to biosensor technology. The ICN2 Nanobiosensors Group, under her leadership, develops technologies for real-time biomarker analysis, including applications in sepsis detection, therapeutic drug monitoring, and autoimmune disease diagnostics.

• Neuroscience
• Psychology
• Empirical Aesthetics
• +۳ مورد دیگر

Dr. Julia Christensen is a Senior Research Fellow at the Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany. She holds a PhD in Psychology from the University of the Balearic Islands (2014), alongside professional dance training and advanced degrees in neuroscience and clinical psychology. Her research focuses on the intersection of dance, neuroscience, and empirical aesthetics, exploring topics such as emotional responses to movement, cultural influences on creativity, and the neurobiological basis of aesthetic experiences. Key areas of investigation include the psychological and neural mechanisms underlying dance perception, the role of interoceptive accuracy in dancers, and the application of empirical methods to study art and emotion. Her work bridges disciplines like cognitive science, anthropology, and computer science, as seen in collaborations like the Dance Your Emotion project. Awarded the Evens Science Prize (2016) and the Newton International Postdoctoral Fellowship (2015), her contributions include over 40 peer-reviewed articles and edited volumes. Notable publications address aesthetic appeal in dance, enculturation screening tools, and neurolegal concepts of volition. She also engages in popular science writing, such as Tanzen ist die beste Medizin , emphasizing dance’s cognitive and health benefits. Her academic roles include teaching at institutions like the Open University of Catalonia and postdoctoral research at University College London. Current projects involve developing computational frameworks for emotion datasets (EMOKINE) and validating cross-cultural research tools in aesthetics.

Luis Velez Quinteroمشاهده پروفایل

استادیار

• Data Science
• Extended Reality (XR)
• Machine Learning
• +۴ مورد دیگر

Luis Velez Quintero is an Assistant Professor at Stockholm University within the Department of Computer and Systems Sciences (DSV) . He is affiliated with the Data Science Research Group and the Stockholm Technology & Interaction Research (STIR) group, focusing on Human–Computer Interaction. His research spans adaptive immersive systems, affective computing, and physiological signal analysis in extended reality (XR) environments. Education & Background : Holds a PhD in Computer and Systems Sciences from Stockholm University (2023), MSc in Health Informatics from Karolinska Institutet (2019), and BSc in Electronics Engineering from the National University of Colombia (2015). He has led the startup PortalSense since 2018, developing VR solutions for real estate visualization. Research Interests : Combines data science and ML with XR technologies to create context-aware systems for healthcare, education, and professional training. Key themes include: Adaptive VR/AR systems using real-time physiological and behavioral signals Biosignal integration for personalized user experiences Immersive technologies for cognitive assessment and skill development Publications : Over 20 peer-reviewed articles, including work on affective databases (AVDOS-VR), biosignal frameworks (Excite-O-Meter), and XR applications in cybersecurity education. Recent efforts explore third-person locomotion in VR and early-stage Alzheimer’s detection via spatial navigation tasks. Awards & Grants : Wallenberg Foundation Grant (2023-2025): Analyzing non-verbal communication in psychotherapy Swedish Institute Scholarship (2017-2019): Fully funded Master’s and PhD studies Seed funding for PortalSense from Fondo Emprender SENA Colombia (2022-2023) Advising & Projects : Lead researcher in projects like AVDOS-VR and CS:NO . Co-designed the Excite-O-Meter open-source plugin for real-time physiological analysis in VR. Active in industry collaborations for scalable health interventions and immersive training systems. Labs & Teams : Collaborates with multidisciplinary teams at STIR and DSV, advancing human-centered AI and adaptive XR technologies.