جست‌وجوی استاد و پژوهشگر

Nadine Moacdiehمشاهده پروفایل

استادیار

• Human-Computer Interaction
• User-Centered Design
• Display Clutter
• +۷ مورد دیگر

Nadine Moacdieh is an Assistant Professor at the School of Computer Science, Carleton University. Her research focuses on human-computer interaction, user-centered design, and addressing challenges related to display clutter, data overload, and healthcare informatics. She holds an ORCID identifier (https://orcid.org/0000-0002-7677-7946) and is based in Ottawa, Ontario. Her research interests include eye tracking metrics for usability testing, adaptive interfaces, interruption management, and perception-performance relationships. She has conducted studies on electronic medical records, surgical room acoustics, driver distraction, and cross-cultural health communication. Her work spans healthcare technology, transportation safety, and complex system design. Recent trends in her publications emphasize the cognitive impacts of visual clutter in medical systems and digital interfaces, with applications to both clinical workflows and everyday human-computer interactions. She also explores team performance dynamics in complex environments and the effects of workload transitions on multitasking. No specific grants or awards are listed in the provided information. Her office is located at HP5135, and she can be reached at Nadine.Moacdieh@carleton.ca.

Peter H. Brubakerمشاهده پروفایل

استاد

• Exercise Physiology
• Cardiology
• Chronic Disease Prevention
• +۳ مورد دیگر

Peter H. Brubaker is a tenured Professor in the Department of Health and Exercise Science at Wake Forest University, Winston-Salem, North Carolina. With a 30+ year fellowship in both the American College of Sports Medicine and the American Association of Cardiopulmonary Rehabilitation, he has directed cardiac rehabilitation programs (1991-2016) and currently serves as Wake Forest's Faculty Athletic Representative to NCAA/ACC. His research spans chronic disease prevention, heart failure, and cancer-related cardiovascular dysfunction. Academic Roles: Professor, Director of Healthy Exercise/Lifestyle Programs Research Themes: Heart failure rehabilitation, exercise physiology, caloric restriction effects, chemotherapy cardiotoxicity His 150+ publications focus on clinical trials like BEACON (bone health in aging), SECRET II (obesity-HFpEF interactions), and MESA ancillary studies. Recent work includes 2024 publications on trial methodologies and 2023 meta-analyses of exercise adherence. Scientific Recognition: ACSM Fellow, AACR Fellow Editorial Roles: Clinical Section Editor, ACSM Guidelines 7th ed. Brubaker's NIH and industry-funded projects include cardiovascular injury assessments post-chemotherapy and resistance training interventions for HFpEF. He lectures nationally/internationally on clinical exercise applications.

Amna Mirzaمشاهده پروفایل

استادیار

• Language and Reading Development
• Learning Disabilities in English Language Learners (ELLs)
• Multilingual Literacy and Orthographies
• +۳ مورد دیگر

Dr. Amna Mirza is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. Her research focuses on language and reading development, learning disabilities in English Language Learners (ELLs), and the impact of genetics on conditions like Dyslexia. She collaborates with institutions like Wilfrid Laurier University and Brock University on interventions for multilingual literacy improvement. Dr. Mirza also runs teacher training programs internationally, emphasizing literacy principles. She holds a PhD in Developmental Psychology from Wilfrid Laurier University and supervises graduate students at MA/PhD levels. Her office is located in Seton 579, and she can be reached at Amna.Mirza@MSVU.CA. Her work examines reading profiles in diverse orthographies (e.g., Urdu, English) and evaluates vocabulary-based interventions for ELLs. Current projects explore how enriched literacy programs affect 2nd/3rd graders with/without learning disabilities. She also investigates AI ethics, digital transformation, and Industry 4.0 implications across governance and climate change. Education: PhD in Developmental Psychology (Wilfrid Laurier University) Research Collaborations: Wilfrid Laurier University, Brock University International Projects: Teacher training programs on literacy principles Supervision: Accepting MA/PhD students in Education Dr. Mirza’s research bridges educational psychology and technological advancements, addressing both foundational learning challenges and societal impacts of digitalization. Her recent work spans AI-driven governance systems, circular economy opportunities, and ethical challenges in AI applications.

Loutfouz Zamanمشاهده پروفایل

دانشیار

• User research in gaming
• Game analytics and data science
• Game evaluation and testing
• +۲ مورد دیگر

Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Virginia E. Vitielloمشاهده پروفایل

عضو هیئت علمی

• Early Childhood Education
• Teaching and Learning
• School Readiness
• +۳ مورد دیگر

Virginia E. Vitiello serves as a Research Associate Professor at the University of Virginia's School of Education and Human Development, where she is affiliated with the Center for Advanced Study of Teaching and Learning and the Research in Education and Learning Lab. Her scholarly work centers on early childhood education with particular emphasis on classroom processes that influence children's development. Her primary research interests include: Early childhood education and development School readiness and transitions from pre-K to kindergarten Teacher-student interactions and classroom quality Curriculum implementation in preschool settings Mathematics and science education in early childhood Curiosity development in classroom contexts Dr. Vitiello's research portfolio reveals consistent focus on how specific teaching practices and classroom environments shape children's academic and social-emotional outcomes. Her recent publications demonstrate growing interest in curiosity as a critical learning mechanism in early education, particularly in math and science contexts. She employs longitudinal methodologies to track developmental trajectories across educational transitions. She actively contributes to several major research initiatives: Curiosity in Classrooms MyTeachingPartner - Mathematics/Science Curricula and Implementation Support System Fairfax PreK to Third Grade Project Learning to Objectively Observe Kids (LOOK) Assessment, Instruction and Mathematics in Kindergarten Classrooms (AIM) STREAMin³ Curriculum Model STREAMin3 Impact Project Through these projects, Dr. Vitiello develops and evaluates evidence-based practices for improving early childhood education quality and effectiveness.

David Poeppelمشاهده پروفایل

استاد

• Auditory Cognition
• Speech Perception
• Neuroscience
• +۳ مورد دیگر

David Poeppel is a Professor of Psychology and Neural Science at New York University (NYU), affiliated with the College of Arts and Science. He holds a PhD and BS from MIT, with postdoctoral training at UCSF. His research focuses on auditory cognition, speech perception, and the neural basis of language, employing techniques like MEG, EEG, and fMRI. Key interests include the temporal dynamics of speech processing, neurophysiological mechanisms of lexical access, and multisensory integration in language. Education: PhD (1995) and BS (1990) in Psychology/Cognitive Science from MIT. Positions include Professorships at NYU (2009–present) and University of Maryland (1998–2009). Awards include a 2004 American Academy Fellowship and a 2003–2004 Berlin Wissenschaftskolleg Fellowship. Research trends emphasize neural entrainment to speech structures, auditory-motor coupling, and the interplay between perception and production. Recent work explores how temporal rhythms shape auditory processing and how brain rhythms predict speech tracking variability. The Poeppel Lab also investigates musical perception and the neural underpinnings of vocal emotion. Publications span over 200 peer-reviewed articles, with recent contributions on spectrotemporal modulation, neural chunking in language, and the role of amplitude modulation in distinguishing speech from music. His work bridges cognitive science, neuroscience, and clinical applications, such as stuttering mechanisms and speech rehabilitation.

Charles G. M. Paxtonمشاهده پروفایل

پژوهشگر ارشد

• Marine Ecology
• Statistical Ecology
• Cetacean Behavior
• +۳ مورد دیگر

Dr. Charles G. M. Paxton is a Research Fellow at the University of St Andrews' School of Mathematics and Statistics and the Centre for Research into Ecological & Environmental Modelling. His work bridges statistical analysis with marine ecology, focusing on cetaceans, cryptid phenomena, and environmental conservation. He has contributed to projects like the H2020 ENVRI PLUS initiative and collaborates internationally on studies ranging from Scottish seabird bycatch to naval training impacts on whales. Research interests include applying statistical methods to ecological challenges, analyzing historical maritime records, and investigating cultural perceptions of marine creatures. Notable outputs include groundbreaking studies on the Loch Ness Monster and analyses of sea serpent folklore. He has advised governmental bodies like Marine Scotland and the US Office of Naval Research, emphasizing practical conservation solutions. His activities include public engagement through events like Explorathon and academic conferences such as the International Statistical Ecology Conference. Media engagements include features in The Conversation and podcast discussions on mythical beasts.

Sahar Soltaniمشاهده پروفایل

پژوهشگر ارشد

• Computational Design Sustainability
• Social Sustainability
• Industrialised Building
• +۶ مورد دیگر

Dr. Sahar Soltani is a Research Fellow at the Department of Architecture, Monash University, affiliated with the Future Building Initiative lab and the Australian Research Centre for Interactive and Virtual Environments (IVE). She holds a PhD in Architecture from the University of South Australia (2021), complemented by a Bachelor and Master of Architectural Engineering from Iran. Her research focuses on computational sustainability, industrialised construction, and Industry 4.0 technologies, with emphasis on bridging academic and industry needs through collaborative projects. Her expertise spans spatial analysis for social sustainability, digital transformation in construction (e.g., BIM, Mixed Reality), and education innovation. Key projects include: Leading Building 4.0 CRC initiatives for construction productivity and skills training Evaluating regional construction hubs and modern methods of construction (MMC) Developing frameworks for AI integration in technical education Dr. Soltani collaborates with institutions like RMIT, University of Adelaide, and Technical University of Denmark, and actively engages with industry partners to ensure practical outcomes. Her work addresses challenges in sustainable built environments, digital collaboration, and workforce upskilling. Research outputs include over 18 peer-reviewed articles and conference papers, focusing on topics like mixed reality in education, Industry 4.0 applications in transportation, and spatial configuration for social equity. She supervises graduate research students and reviews for journals such as Buildings , Architectural Science Review , and Smart and Sustainable Built Environment . Future work continues to explore AI-driven construction solutions, digital twin technologies, and the socio-technical dimensions of industrialised building systems.

James Caverleeمشاهده پروفایل

استاد

• Machine Learning
• Recommender Systems
• Information Retrieval
• +۷ مورد دیگر

James Caverlee is a Professor in the Department of Computer Science and Engineering at Texas A&M University, and a Visiting Researcher at Google DeepMind. He holds a Ph.D. from Georgia Institute of Technology (2007), and degrees from Stanford University and Duke University. His research focuses on trustworthy, efficient, and personalized machine learning systems, including Recommender Systems, Large Language Models (LLMs), and bias mitigation. Recent work emphasizes fairness, efficiency, and transparency in AI, with applications in conversational systems, speech, and medical QA. He has been recognized with an NSF CAREER Award, AFOSR Young Investigator Award, and DARPA Young Faculty Award. His group has published extensively at top venues like KDD, EMNLP, WWW, SIGIR, and WSDM. Education: Ph.D., Computer Science, Georgia Tech, 2007 M.S., Computer Science & Engineering-Economic Systems, Stanford University, 2001–2000 B.A., Economics, Duke University, 1996 Research Interests: Machine Learning, Recommender Systems, NLP, LLMs Bias Mitigation, Efficiency, Personalization Social Computing, Information Retrieval Awards: NSF CAREER Award (2012) AFOSR Young Investigator (2012) SIGIR Test of Time Honorable Mention (2022) Grants: Supported by NSF, AFOSR, DARPA, and industry (Google, Amazon). Labs/Teams: InfLab research group at Texas A&M, collaborating with Google DeepMind. His publications address topics like adversarial attacks on LMs, gender bias in podcasts, and efficient recommendation algorithms. Recent trends show focus on generative AI for personalization and ethical AI challenges.

Rachel L Gunnمشاهده پروفایل

دانشیار

• Alcohol Use
• Cannabis Use
• Co-Use of Alcohol and Marijuana
• +۴ مورد دیگر

Rachel L Gunn is an Associate Professor holding dual appointments in the Department of Behavioral and Social Sciences (Primary) and Psychiatry and Human Behavior (Secondary) at Brown University. She holds a PhD in Clinical Psychology from Indiana University-Bloomington (2017) and completed clinical training at Brown's Alpert Medical School. Her research focuses on understanding the etiology of alcohol and cannabis use through mixed-method approaches, including laboratory experiments and ambulatory assessments. Current projects investigate simultaneous alcohol/cannabis use impacts, cannabis effects on alcohol treatment outcomes, and perinatal cannabis use mental health consequences. Dr. Gunn's NIH-funded research includes a K08 grant (2019-2024) examining alcohol/cannabis co-use consequences, an R01 (2023-2028) studying cannabis effects on alcohol craving, and a COBRE Pilot Award (2023-2024) exploring perinatal cannabis and postpartum mental health. She collaborates with experts like Jane Metrik, Nancy Barnett, and Lauren Micalizzi on topics spanning substance use patterns, impulsivity, and executive function. Her work integrates behavioral pharmacology, ecological momentary assessment, and longitudinal designs to address real-world substance use dynamics. Notable contributions include demonstrating cannabis's moderating effect on alcohol consumption in clinical settings and clarifying co-use consequences in college populations.

Min Zhangمشاهده پروفایل

استادیار

• Bioinformatics
• Pharmacogenomics
• Computational Toxicology
• +۳ مورد دیگر

Dr. Min Zhang is an Assistant Professor (tenure-track) in the Department of Pharmaceutical Sciences at the University of Pittsburgh’s School of Pharmacy. She holds a PhD in bioinformatics from Harbin Medical University and has conducted postdoctoral research at the FDA’s National Center for Toxicological Research and MD Anderson Cancer Center. Her research focuses on bioinformatics, pharmacogenomics, and computational toxicology, with an emphasis on developing computational tools for precision medicine and predicting adverse drug reactions. She is affiliated with the Center for Pharmacogenetics and has contributed to over 50 peer-reviewed articles in high-impact journals. Her work integrates multi-omics data to advance cancer therapies and drug safety. Education & Training: PhD in Bioinformatics, Harbin Medical University ORISE Fellow, FDA’s National Center for Toxicological Research Postdoctoral Training, MD Anderson Cancer Center Research Interests: Dr. Zhang’s research bridges computational biology and translational medicine. She develops algorithms to analyze genomic and transcriptomic data, with applications in: Cancer immunotherapy response prediction Drug-induced toxicity screening Non-coding RNA roles in cancer progression Multi-omics integration for personalized treatment strategies Grants & Advising: While specific grants are not listed, her publications indicate sustained research activity. She is currently accepting graduate students for training in pharmacogenomics and systems pharmacology. Labs & Teams: Affiliated with the Center for Pharmacogenetics , collaborating with interdisciplinary teams to translate genomic insights into clinical practice.

• Internet of Things
• Low Power Wide Area Networks
• Wireless Sensor Networks
• +۷ مورد دیگر

Teresa Olivares Montes is a faculty member at the University of Castilla-La Mancha, where she serves as a Profesor Contratado Doctor in the Department of Systems Informatics. She has been actively contributing to research and education since completing her PhD in Computer Engineering at the same institution. Her academic career includes international research experiences in Hong Kong, Ireland, and the UK, reflecting a strong global engagement. PhD in Computer Engineering, University of Castilla-La Mancha (2003–present) Licentiate in Computer Science, University of Granada Diploma in Computer Science, University of Granada Her research focuses on Internet of Things (IoT), low-power wireless communication protocols, energy-efficient networking, and smart systems for applications in healthcare, agriculture, education, and Industry 4.0. She has published extensively in high-impact journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, and Computer Networks. Her recent work emphasizes practical, low-cost IoT solutions for environmental monitoring (e.g., glyphosate detection, agrochemical drift) and digital twin development for smart campuses. The analysis of her recent publications (2020–2025) reveals a consistent trend toward applied IoT systems integrating sensor networks, machine learning, and human-centered design. Her work spans domains including public health (MosquIoT), environmental protection (DriftGLY, SpectroGLY), smart education (WIoTED), and industrial efficiency (OperaBLE). These projects demonstrate a strong interdisciplinary approach, combining computer science fundamentals with real-world societal and industrial challenges. No formal scientific awards are listed in the provided text. Teresa Olivares Montes has contributed to academic service, notably as a member of the Equality Commission at her department since 2017. While no specific grants are detailed beyond a 1996 training contract, her sustained publication record suggests ongoing research funding. She collaborates with a broad network of researchers across Spain and internationally. She has also contributed to educational initiatives, including mentoring program coordination across multiple degrees. She is involved in several research initiatives related to smart environments, including smart homes, smart campuses, and smart worker systems. Her lab or team likely focuses on IoT protocol design, wireless sensor networks, and embedded systems for sustainable and socially responsible applications.

• Maternal and Child Health
• Public Health Informatics
• Online Public Health Training
• +۷ مورد دیگر

John T Richards is a Professor on the Research Track in the Department of Pediatrics at Georgetown University School of Medicine. He serves as Executive Director of the National Center for Education in Maternal and Child Health (NCEMCH) and Lead of the Health Information Group, where he oversees major federally funded public health training initiatives and digital library development. His research focuses on advancing maternal and child health through innovative online education systems, digital libraries, and data-driven training platforms. Key areas include public health informatics, cultural and linguistic competence, life course health, and interagency coordination between Title V and Medicaid programs. He has led the development of landmark curricula such as Well-Child Care: A Bright Futures Curriculum and the Safe Sleep Learning Site . His recent publications reflect a strong trend in digital public health education, competency-based training, and health equity. The articles span topics from mental health integration to assistive technology and interagency policy coordination, demonstrating a multidisciplinary approach to strengthening the MCH workforce and systems. MCHB Director's Award (2023) Young Leadership Award from HRSA (2010) Georgetown University President’s Award (2015) Distinguished Investigator at Georgetown University Mr. Richards has served as Principal Investigator on numerous federal grants and provides technical assistance to states on MCH-Medicaid coordination. He lectures at both Georgetown University and American University, contributing to workforce development and policy education. He is actively involved in national advisory groups, including MCHB workgroups on performance measures, cultural competence, and life course perspectives. He leads the MCH Digital Library, a major national resource, and coordinates technology across Georgetown’s campuses. His work through the Health Information Group has established a robust infrastructure for online learning and knowledge dissemination in maternal and child health.

• Cloud Computing
• Computer Networking
• Machine Learning
• +۱ مورد دیگر

Xiaoqian (Tiffany) Zhang is an Assistant Professor in the Department of Computer Science at the University of Nebraska at Omaha (UNO) College of Information Science & Technology. Her work focuses on cloud computing, computer networking, and cybersecurity. Education: Ph.D. in Computer Science (University of Massachusetts Boston, 2023), MS in Mathematics (New York University, 2014), BA in Mathematics and Economics (Skidmore College, 2012) Her research explores cloud computing and networking with emphasis on machine learning and cybersecurity . Recent work addresses challenges in disaggregated storage systems , edge computing , and augmented reality . She received the DOE NNSA Joule Award (2022) for her scholarship. Her publications span topics including network congestion control , distributed file systems , and audio noise filtering . She teaches courses in cloud computing and computer networking .