جستجوی استاد راهنمای دانشگاهی

John Loganمشاهده پروفایل

دانشیار

• Psychology
• Speech Perception
• Cognitive Science
• +۳ مورد دیگر

John Logan is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from Indiana University. His research focuses on spoken language perception, non-native speech perception, and word recognition in children. His work bridges cognitive psychology, forensic psychology, and linguistics, examining how personality traits like psychopathy influence speech perception and emotional processing. Dr. Logan's research explores the interplay between personality variables and speech perception mechanisms, particularly in contexts involving psychopathic traits, trauma, and non-native language acquisition. His recent studies investigate how psychopathy affects emotional recognition in spoken language and domestic abuse dynamics, while also analyzing disfluency patterns and vowel acoustics in speech production. His research has contributed to understanding deficits in prosodic perception among individuals with psychopathic characteristics and developing interventions to improve emotion recognition. He also studies cognitive constraints in acquiring non-native phonemes and employs neuroimaging techniques to explore decision-making processes in gambling scenarios. Though no specific awards or grants are listed, his extensive publication record reflects sustained contributions to speech perception, forensic psychology, and developmental cognitive science. Dr. Logan's work integrates experimental methods with computational analysis, addressing both theoretical and applied questions in language processing and mental health.

• Patent Law
• Intellectual Property Law
• International Patent Law
• +۳ مورد دیگر

Timothy R. Holbrook is a Professor at the University of Denver Sturm College of Law , holding the Provost’s Professor and Robert B. Yegge Endowed Distinguished Professor in Law titles. His research focuses on patent law , intellectual property, and transnational legal issues. Research Interests : Holbrook specializes in Patentability doctrines (novelty, nonobviousness, eligibility) Extraterritoriality and territoriality in IP 3D printing and digital infringement Patent disclosure requirements (enablement, written description) His recent work proposes reformulating U.S. patent examination to separate relative and absolute patentability standards. Publications : Holbrook has authored influential papers on topics like ex parte examination divided infringement expressive theories in patents international IP conflicts His 2024 article on Relative and Absolute Patentability in Wake Forest Law Review outlines a new typology for patent standards. Contact : tim.holbrook@law.du.edu | Denver, CO 80210

Jae Hwa Leeمشاهده پروفایل

دانشیار

• Creative Confidence Pedagogy
• Evidence-Based Design
• Multisensory Design
• +۳ مورد دیگر

Dr. Jae Hwa Lee is an Associate Professor in the Department of Interior Architecture & Design at Florida State University (FSU), where she has been since 2024. Previously, she served as an Assistant Professor at Iowa State University's College of Design (2018–2024), concurrently affiliated with the Human Computer Interaction Graduate Program. Her research focuses on creative pedagogy, evidence-based design for creativity, and multisensory inclusive design. Lee holds a Ph.D. from the University of Florida, an M.S. from Yonsei University, and a B.A. from Ewha Womans University. Her scholarly work bridges design education and psychological principles, emphasizing creative self-beliefs, interdisciplinary learning, and environmental impact on creativity. Notable contributions include studies on physical environments' role in fostering creativity and the transferability of creative skills across disciplines. Lee has been recognized with the 2024 ASID Ones to Watch Winner and Scholar award. Teaching responsibilities include courses like Interior Design Studio III and First Professional Graduate Studio , where she integrates theoretical and practical evidence into design education. She serves on the Journal of Interior Design’s review board and maintains certifications in Evidence-Based Design (EDAC) and Torrance Tests of Creative Thinking scoring.

Satu Huuhkaمشاهده پروفایل

استاد

• Sustainable Renovation
• Circular Economy in Construction
• Building Stock Analysis
• +۳ مورد دیگر

Professor Satu Huuhka leads Tampere University's efforts in sustainable renovation and circular economy transition in construction. As the inaugural Professor of Sustainable Renovation (appointed 2024), she heads the multidisciplinary ReCET research group, focusing on decarbonizing the built environment through building reuse. Her work demonstrates that renovating existing structures reduces carbon emissions more effectively than new construction, challenging industry norms. Education: MSc Architecture (2010), PhD (2016), both from Tampere University of Technology. Prior roles include Adjunct Professor (2018), Senior Research Fellow (2019–2021), and leadership in the EU-funded ReCreate project (2021–present). Recognized with the 2023 TunnustusPAANU Award and 2024 Order of the Lion of Finland medal. Research emphasizes deconstruction of precast concrete, policy frameworks for circularity, and adaptive reuse strategies. Current projects include ReCreate's pilot deconstruction of Tampere office buildings and analysis of material flows in urban environments. Collaboration with firms like Skanska drives industry adoption of reuse practices. Teaching involves training next-generation researchers through doctoral supervision and interdisciplinary teamwork. Personal passion for restoration extends to home renovations and kintsugi-inspired ceramics repair, reflecting her professional commitment to preserving and revitalizing existing structures.

• Health Economics
• Health Care Value
• Inflammatory Pathophysiology
• +۵ مورد دیگر

Dr. Kristine A. Smith is a Clinical Associate Professor in the Department of Otolaryngology – Head and Neck Surgery at the University of Utah. As a board-certified and fellowship-trained Rhinologist, her clinical practice focuses on sinus and nasal diseases, including chronic sinusitis, polyps, skull base tumors, and CSF leaks. She leads multidisciplinary collaborations with neurosurgeons, neuroradiologists, and ENT cancer surgeons to optimize patient outcomes. Education Fellowship: Advanced Rhinology and Skull Base Surgery, University of Utah (2017-2018) Residency: Otolaryngology–Head & Neck Surgery, University of Calgary (including Chief Resident role) Medical Degree: University of Saskatchewan College of Medicine Undergraduate: B.S. in Toxicology, University of Saskatchewan Research Focus Dr. Smith investigates health economics, care optimization, and inflammatory mechanisms in sinus diseases. Her research aims to personalize treatments and improve healthcare value through: Health economics modeling for resource allocation Pathophysiological studies of chronic sinusitis Clinical outcome metrics development Patient-centered care innovation Publication Trends Her recent work (2019-2025) emphasizes cystic fibrosis-related sinusitis, eosinophilic inflammation biomarkers, and health economic analyses. Studies frequently employ multidisciplinary approaches, consensus guidelines, and real-world clinical validation. Key themes include modulator therapy efficacy, diagnostic advancements, and patient-reported outcomes. Clinical & Collaborative Work Dr. Smith coordinates with the Ophthalmology team for minimally invasive orbital surgeries and leads research initiatives within the University of Utah's Otolaryngology network. Her skull base surgery program integrates neuroimaging and pathology expertise for complex tumor management.

Tatiana Nekrasova-Bekerمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Applied Linguistics
• TESOL (Teaching English to Speakers of Other Languages)
• +۵ مورد دیگر

Dr. Tatiana Nekrasova-Beker is an Associate Professor of Applied Linguistics and TEFL-TESL at Colorado State University, affiliated with the English departments (undergraduate and graduate). She specializes in second language acquisition, corpus-based research, and ESP methodology, collaborating with the Programs for Learning Academic and Community English (PLACE) to support international students and faculty. Her roles include teaching graduate courses in the TEFL/TESL program and designing language materials for discipline-specific contexts. Education : - PhD in Applied Linguistics from Northern Arizona University - M.A. in Applied Linguistics from Georgia State University Research Interests : Usage-based approaches to L2 acquisition, formulaic language in fluency, corpus analysis of discipline-specific discourse, ESP course design, and assessment methodologies. Her work bridges theoretical insights with practical applications in engineering, business, and academic contexts. Publications : Dr. Nekrasova-Beker’s research focuses on lexical patterns in engineering discourse, ESP curriculum development, and L2 assessment. Recent work includes studies on vocabulary demands in Russian engineering education and corpus-based analyses of engineering sub-disciplines. Collaborations and Teaching : Collaborates with PLACE to enhance language support programs. Teaches courses such as E526 (TESL methods), E527 (SLA theories), and E634 (ESP curriculum design). Engages students in project-based learning and intercultural communication studies. Personal Interests : Enjoys traveling, exploring Colorado’s natural beauty with her family, gardening, and running.

Bradley Brummelمشاهده پروفایل

استاد

• Industrial-Organizational Psychology
• Leadership Development
• Professional Ethics
• +۹ مورد دیگر

Bradley Brummel, Ph.D., is a Professor in the Department of Psychology at the University of Houston, where he also serves as Director of the Industrial/Organizational Psychology Program and Director of the Research on Ethics and Leader Identity, Growth, and Narratives (REaLIGN) Laboratory. He earned his B.A. in Psychology from Calvin University and his M.A. and Ph.D. in Industrial-Organizational Psychology from the University of Illinois at Urbana-Champaign. Previously, he served as Past President of the Society for Psychologists in Leadership. His research focuses on leadership development, professional ethics, cybersecurity awareness, workplace mindfulness, narrative coaching, and the intersection of personality with organizational behavior. Specific areas include dark personality dynamics, sexual harassment prevention, employee engagement, and talent development strategies. He also works with clients as a coach using assessments and narrative techniques. Brummel has published extensively in journals such as Journal of Business and Psychology and Human Relations , with recent work addressing cybersecurity behavior, ethical leadership, and training methodologies. His scholarship bridges organizational science, industrial-organizational psychology, and applied ethics. His affiliations include roles in professional organizations and editorial boards, and he actively contributes to interdisciplinary research initiatives at the University of Houston.

Matt Wrightمشاهده پروفایل

مدرس

• Computer Music
• Acoustics
• Music Technology
• +۷ مورد دیگر

Matt Wright is a Lecturer at Stanford University's Center for Computer Research in Music and Acoustics (CCRMA), specializing in media systems design and computer music research. He previously served as Musical Systems Designer at UC Berkeley's CNMAT (1993-2008) and Research Director at UCSB's CREATE center for eight years. His work focuses on real-time music synthesis, sound standards (SDIF/OSC), and computational ethnomusicology. He holds a PhD from Stanford CCRMA on musical rhythm perception, and contributed to the AlloSphere immersive audiovisual instrument. Education: PhD in Computer-Based Music Theory from Stanford University (completed at CCRMA). Earlier studies include training in traditional lutes and Afro-Brazilian percussion. Research interests bridge technology and music: developing tools for musical gesture analysis, sound synthesis, and cross-cultural music analysis. His recent work also involves genomic data platforms (ClinGen) for clinical variant curation, reflecting a dual focus on computational music and bioinformatics. Publications emphasize both music technology (e.g., EEG studies of piano duets) and genomics (e.g., ClinGen variant curation tools). He has advised students in electronic arts and contributed to genetic disease research through collaborative frameworks like ClinVar. Labs/Teams: Lead the CREATE Ensemble (technology-driven live performance) and contributed to the AlloSphere research instrument at UCSB's CREATE center.

Judith Ellen Fanمشاهده پروفایل

استادیار

• Cognitive Science
• Artificial Intelligence
• Data Visualization
• +۵ مورد دیگر

Judith Ellen Fan is a Courtesy Assistant Professor at Stanford University, holding primary appointment in the Department of Psychology and courtesy appointments in the Graduate School of Education and the Department of Computer Science. She directs the Cognitive Tools Lab, focusing on how humans use physical representations to learn, communicate, and solve problems through interdisciplinary approaches combining cognitive science, computational neuroscience, and AI. Her research interests span cognitive tool development, data visualization literacy, educational technology, and developmental psychology. Key areas include understanding how drawing and sketching shape memory and conceptual representation, evaluating machine comprehension of visual and physical concepts, and designing human-centered AI systems. Recent work emphasizes benchmarking human and machine abilities in physical dynamics understanding (Physion++), evaluating data visualization literacy (CHART-6), and analyzing large-scale drawing datasets (THINGS-drawings). These projects bridge cognitive science with AI to advance both fields through shared benchmarking frameworks. Judith has received funding for projects on cognitive tool development and human-AI collaboration. Her lab collaborates across disciplines, emphasizing empirical studies with human participants and algorithmic benchmarking. Notable datasets include the 1,854-concept THINGS-drawings collection and Physion++ physical prediction benchmarks.

• Computational Biology
• Cardiac Electrophysiology
• In Silico Trials
• +۲ مورد دیگر

Blanca Rodriguez is Professor of Computational Medicine at the University of Oxford, heading the Computational Biology and Health Informatics theme. Her research develops computational methods to accelerate therapy development through human-based modeling and simulation, reducing animal testing via digital twins and in silico trials. Key innovations include the PRISM probabilistic model checker, virtual human heart models, and quantitative verification tools for assessing drug cardiotoxicity. Current work focuses on personalized cardiac models, AI-driven therapy optimization, and multi-scale physiological simulations. Wellcome Trust Senior Research Fellow (2013-2025) NC3Rs International Prize (2017) Impact Award, MPLS Division (2018) Professor Rodriguez mentors graduate students in computational medicine and collaborates extensively with pharmaceutical companies and regulators. Her work has generated 150+ patents licensed to 31 companies, and she co-founded two biotechnology companies.

Marieke Pijnenborgمشاهده پروفایل

استاد

• Psychotic Disorders
• Social Cognition
• Cognitive Rehabilitation
• +۵ مورد دیگر

Prof. Marieke Pijnenborg is a Professor in the Department of Clinical Psychology and Experimental Psychopathology at the University of Groningen’s Faculty of Behavioural and Social Sciences. She holds dual roles as a psychologist at GGZ Drenthe and Head of their Psychotic Disorders Research Department. Her research focuses on psychotic disorders, social cognition, and cognitive rehabilitation, with particular emphasis on antipsychotic effects, identity in mental health, and virtual reality (VR) interventions. She has authored over 200 peer-reviewed publications and contributed to clinical guidelines. Education: PhD in Psychology (2008), University of Groningen Master’s in Clinical Psychology (2001), University of Groningen Certifications in Cognitive Behavioral Therapy and Mental Health Psychology Research Interests: Her work explores clinical applications of VR for self-compassion training, the impact of antipsychotics on identity, and recovery trajectories in psychosis. She investigates social cognition deficits, dissociative symptoms in schizophrenia, and the science-to-practice gap in psychotherapy. Publications & Awards: Over 200 publications, including high-impact articles on executive function deficits and antipsychotic polypharmacy. Recognized with the 2011 Poster Award from the Dutch Schizophrenia Congress for her bachelors’ thesis research. Grants & Collaborations: Leads interdisciplinary projects on VR interventions and psychotic disorder management. Collaborates with institutions like GGZ Drenthe and the PHAMOUS cohort study on psychosis outcomes. Labs/Teams: Active in the Clinical & Developmental Neuropsychology lab, contributing to VR therapy development and cognitive adaptation training programs.

Kylie Gorneyمشاهده پروفایل

استادیار

• Test Security
• Item Response Theory
• Computerized Adaptive Testing
• +۳ مورد دیگر

Kylie Gorney is an Assistant Professor of Measurement and Quantitative Methods in the Department of Counseling, Educational Psychology and Special Education at Michigan State University (MSU). She holds a Ph.D. in Educational Psychology (Quantitative Methods) from the University of Wisconsin-Madison and served as the 2022–23 Harold Gulliksen Psychometric Research Fellow at Educational Testing Service. Her research focuses on test security, item response theory, and computerized adaptive testing (CAT), with publications in leading journals such as British Journal of Mathematical and Statistical Psychology and Psychometrika . Dr. Gorney’s work addresses challenges in maintaining testing integrity, including detecting cheating through methods like answer similarity analysis and response time analysis. She has developed an R package called aberrance for automated detection of aberrant test-taker behavior. Her contributions span both theoretical advancements in psychometrics and practical applications in secure testing environments. Her recent publications (2022–2025) emphasize innovations in CAT algorithms, person-fit statistics, and the integration of response-time data into security frameworks. These studies highlight advancements in detecting item compromise, preknowledge, and test speededness while improving subscore interpretation for polytomous items. Dr. Gorney is affiliated with MSU’s College of Education and maintains an active research agenda bridging statistical theory with real-world testing scenarios. She is accessible via email at kgorney@msu.edu .

Andrew B. Nobelمشاهده پروفایل

استاد

• Statistical Genomics
• Machine Learning
• Network Analysis
• +۳ مورد دیگر

Andrew B. Nobel is the Robert Paul Ziff Distinguished Professor of Statistics and Operations Research and Professor of Biostatistics at the University of North Carolina at Chapel Hill (UNC). He holds affiliations with the Lineberger Comprehensive Cancer Center and the Computational Genomics Program. His research focuses on statistical genomics, machine learning, network analysis, and inference from dynamical systems. Nobel has collaborated extensively with researchers in Biology, Computer Science, Genetics, and Mathematics. Dr. Nobel earned his PhD in Electrical Engineering from Stanford University (1992), an MS from Stanford (1988), a Certificate of Study in Mathematics from Cambridge University (1986), and a BS in Electrical Engineering from Cornell University (1985). He has taught courses ranging from undergraduate discrete mathematics to advanced graduate-level theoretical statistics and machine learning. His research interests include developing methodologies for analyzing complex biological and network data, with applications to cancer genomics, systems biology, and medical informatics. Recent work emphasizes optimal transport methods for network analysis and statistical approaches for genomic data integration. Awards: Elected Fellow of the Institute of Mathematical Statistics (2008) National Science Foundation CAREER Grant (1995) Beckman Institute Fellow (1992–1995) Churchill Scholar (1985–1986) Dr. Nobel serves on the editorial board of the Journal of the Royal Statistical Society, Series B and has previously contributed to the Annals of Statistics and IEEE Transactions on Information Theory . His work bridges theoretical statistical foundations with practical applications in public health and biomedical research.

• Statistical Learning
• Game Theory
• Decision-Making Algorithms
• +۶ مورد دیگر

David Leslie is a Professor of Statistics and Director of Engagement in the Department of Mathematics and Statistics at Lancaster University. He specializes in statistical learning, decision-making algorithms, and game theory, with applications in real-time website optimization through bandit algorithms. Previously, he served as a Senior Lecturer at the University of Bristol and co-directed a cross-disciplinary decision-making research group. He has led significant projects such as the EPSRC/NERC-funded DSNE initiative and contributed to strategic partnerships like ALADDIN (with BAE Systems and EPSRC) and NG-CDI (with BT). His work emphasizes bridging theoretical research with practical industry solutions. Education details are not explicitly provided, but his career trajectory includes prior roles at prestigious institutions. Research interests focus on statistical methodologies, AI-driven decision systems, and environmental data science. He advises multiple PhD students in areas like Statistical AI and Extreme Value Theory. Notable projects include AI Hub, NABS+, and ProbAI, reflecting his engagement with cutting-edge technologies and interdisciplinary collaboration. David actively participates in research groups such as STOR-i Centre for Doctoral Training and the Statistical Artificial Intelligence group. His contact information includes an office at B73 in the PSC building and a direct email address. No specific scientific awards are listed, but his extensive project leadership and contributions to foundational AI research highlight his academic impact.

Xinge Jessie Jengمشاهده پروفایل

دانشیار

• High-Dimensional Inference
• Machine Learning
• Weak Signal Discovery
• +۳ مورد دیگر

Xinge Jessie Jeng is an Associate Professor of Statistics at North Carolina State University (NC State), Department of Statistics. She serves as Director of Masters Programs and holds a Ph.D. in Statistics from Purdue University (2009). Her research focuses on high-dimensional inference, machine learning, weak signal discovery, and statistical genomics, with applications in genetics and bioinformatics. Her work develops methodologies for analyzing large-scale genomic data, including false negative control in high-dimensional settings, transfer learning for polygenic risk prediction, and eQTL mapping. She has contributed R packages such as AFNC and FastLORS for statistical analysis. Her GitHub repository demonstrates active software development in statistical genomics and machine learning. Recent research emphasizes adaptive methods for weak signal detection under dependence, spatially adaptive variable screening in neuroimaging, and efficient SNP ranking in genetic studies. She collaborates across disciplines to bridge statistical theory with real-world genomic and biomedical applications.