جستجوی استاد راهنمای دانشگاهی

Hang Luمشاهده پروفایل

استاد

• Microfluidics
• Systems Biology
• Neuroscience
• +۶ مورد دیگر

Hang Lu is a Professor and holds the Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Dr. Lu also holds a Love Family Professorship and leads the Lµ Fluidics Group, which focuses on engineering microfluidic systems and machine learning tools to address complex questions in neuroscience, developmental biology, and cell biology that are difficult to address with conventional techniques. Dr. Lu's research lies at the intersection of engineering and biology, with primary interests including: Microfluidic systems for high-throughput screens and image-based genetics and genomics Systems biology: large-scale experimentation and data mining Microtechnologies for optical stimulation and optical recording Big data, machine vision, and automation Developmental neurobiology, behavioral neurobiology, and systems neuroscience Cancer biology, immunology, embryonic development, and stem cells Her laboratory engineers microfluidic devices and BioMEMS to study neuroscience, genetics, cancer biology, and biotechnology. These miniaturized Lab-on-a-chip tools operate at scales comparable to biological systems, leveraging unique micro and nano-scale phenomena to gather large-scale quantitative data about complex biological systems. Current projects include Microfluidics for Life Sciences, Optical Neuron Recordings and Manipulations, Machine Learning Tools for Neuroscience, Measuring and Modeling Behavior, and High-throughput, High-content Cell-based Assays. Analysis of Dr. Lu's recent publications (2024-2025) reveals a strong trend toward integrating microfluidics with advanced computational methods: Development of deep learning frameworks for biological image analysis Advanced neuron tracking and functional imaging techniques Non-invasive characterization of 3D organoid cultures Sophisticated neuromechanical modeling of locomotion Microfluidic temperature control systems for in vivo studies Label-free imaging pipelines for neural development Dr. Lu's significant professional honors include: Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering Love Family Professorship The Lµ Fluidics Group actively mentors students and postdocs, currently accepting new postdoctoral researchers. The lab receives substantial funding for interdisciplinary projects at the engineering-biology interface, with research implications spanning fundamental biological understanding to therapeutic development. The group operates within Georgia Tech's School of Chemical & Biomolecular Engineering, with specialized facilities for microfluidic device fabrication, biological experimentation, and advanced imaging, maintaining strong collaborative ties across engineering, neuroscience, and biological disciplines.

Alex Bigazziمشاهده پروفایل

دانشیار

• Active travel (walking/cycling)
• Micromobility and e-bikes
• Pedestrian and bicycle facility design
• +۳ مورد دیگر

Dr. Alex Bigazzi is an Associate Professor and Associate Head (Undergraduate Program) in the Department of Civil Engineering at the University of British Columbia (UBC), with a joint appointment in the School of Community and Regional Planning. He leads the REACT Lab, focusing on active transportation, micromobility, and sustainable infrastructure design. His research emphasizes the intersection of physics, physiology, and behavior in active travel, particularly for pedestrians and cyclists, and addresses emissions reduction and equitable urban mobility. Bigazzi holds a B.M. in Jazz Saxophone from the University of Miami and a Ph.D. in Civil Engineering from Portland State University. His career includes academic and practical contributions, such as founding the REACT Lab and leading projects on e-bike incentives, air pollution exposure, and infrastructure design. His work has earned awards like the 2024 Wall Legacy Award for inclusive transport design and the 2023 Climate Action Award. He teaches courses on pedestrian/bicycle facility design and capstone projects, mentoring students through UBC’s Civil Engineering programs.

Najim Dehakمشاهده پروفایل

دانشیار

• Machine Learning
• Speech Processing
• Audio Classification
• +۷ مورد دیگر

Najim Dehak is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, part of the Whiting School of Engineering. His research focuses on machine learning applied to speech processing, audio classification, and health applications. He is renowned for developing the I-vector representation for speaker recognition, introduced in 2008 during a workshop at Johns Hopkins’ Center for Language and Speech Processing. Prior to this role, he was a research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory. Dehak holds a PhD from the School of Advanced Technology in Montreal (2009). He is a Senior Member of IEEE and contributes to the IEEE Speech and Language Technical Committee. His work bridges AI, healthcare, and signal processing, with notable contributions to neurodegenerative disease detection via speech and handwriting analysis. Research interests include adversarial attacks on speech systems, multimodal biomarker discovery, and robust speech processing across demographics. His lab’s tools, like the Hermespeech Recorder, enable scalable data collection for clinical and research applications. Education: PhD in Advanced Technology (2009), Montreal Affiliations: Johns Hopkins University, IEEE Labs/Teams: Center for Language and Speech Processing (CLSP) His recent work explores AI’s role in aging research, including Alzheimer’s and Parkinson’s disease detection through speech, eye tracking, and handwriting analysis. Ongoing projects address fairness in speaker verification and robustness against adversarial attacks in ASR systems.

Marcia O'Malleyمشاهده پروفایل

استاد

• Haptics
• Robotics
• Biomechanics
• +۵ مورد دیگر

Marcia O’Malley is the Thomas Michael Panos Family Professor in Mechanical Engineering, Computer Science, Electrical and Computer Engineering, and Bioengineering at Rice University’s George R. Brown School of Engineering. She chairs the Department of Mechanical Engineering and directs the Mechatronics and Haptic Interfaces (MAHI) Lab. Her research focuses on haptics and robotic rehabilitation, particularly wearable robotic systems for training and rehabilitation in virtual environments. She holds adjunct roles at Baylor College of Medicine and the University of Texas Medical School. Educated at Purdue University (B.S., 1996) and Vanderbilt University (M.S./Ph.D., 1999/2001), Dr. O’Malley has been recognized with prestigious awards, including the ONR Young Investigator Award, NSF CAREER Award, and multiple fellowships. She has twice won Rice’s George R. Brown Award for Superior Teaching. Her work bridges engineering and medicine, addressing human-robot interaction challenges in surgical training, workforce safety, and neurorehabilitation. The MAHI Lab develops devices like the hBracelet and Rice Haptic Rocker to enhance human-robot collaboration. She co-founded Houston Medical Robotics, Inc., applying her innovations to real-world medical applications. Research Interests: Haptics, wearable robotics, neural interfaces, surgical training metrics, and rehabilitation robotics. Labs/Teams: MAHI Lab (Biosciences Research Collaborative), collaborations with medical institutions. Grants/Awards: Extensive funding from NSF, ONR, and industry partnerships; leadership in editorial roles for IEEE Transactions on Haptics.

Karin Allor Pfeifferمشاهده پروفایل

استاد

• Physical Activity Measurement
• Childhood Obesity Prevention
• Exercise Physiology
• +۳ مورد دیگر

Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.

Cristian Gómez Canelaمشاهده پروفایل

استاد

• Environmental Chemistry
• Analytical Chemistry
• Mass Spectrometry
• +۵ مورد دیگر

Cristian Gómez Canela is a Full Professor in the Department of Analytical and Applied Chemistry at the School of Engineering, Ramon Llull University (IQS). He serves as Coordinator of the Master's Degree in Analytical Chemistry and is an active member of the Catalan Chemical Society (SCQ), representing SCQ in EuChems-EYCN. His academic journey includes a PhD in Chemistry from the University of Barcelona (2014), followed by postdoctoral research at IDAEA-CSIC and King's College University. Dr. Gómez Canela's research focuses on environmental analytical chemistry, particularly the optimization and validation of analytical methods based on liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and high-resolution mass spectrometry (HRMS) for determining organic pollutants in environmental samples. His work extends to metabolomics applied to aquatic organisms and the analysis of neurotoxic compounds in water systems. His research fingerprint reveals strong expertise in zebrafish models (100%), neurotransmitter analysis (66%), Daphnia magna studies (64%), and neurotoxicity assessment (21%). His recent publications (2024-2025) demonstrate a clear trend toward environmental neurotoxicology, with emphasis on the effects of pharmaceuticals and industrial pollutants on aquatic organisms. His work integrates advanced analytical techniques with biological endpoints to assess environmental risks, particularly focusing on neurological and cardiovascular impacts. The research spans method development for pollutant detection, environmental monitoring, and mechanistic studies of neurotoxic effects. Dr. Gómez Canela leads multiple significant research projects including CHEMIPARK (2024-2027) on passive sampling methodologies for environmental pollutants, GESPA (2022-2025) as part of the Environmental Process Engineering and Simulation Group, and several projects on neuroactive compounds in water systems. He has an impressive research output with 91 scientific publications from 2011-2025 and an h-index of 27 with over 2,000 citations. As a dedicated educator, he contributes to multiple academic programs including the Master in Analytical Chemistry, Master in Pharmaceutical Chemistry, and undergraduate degrees in Chemistry and Chemical Engineering. His research group GESPA represents a multidisciplinary team combining chemical engineering, biotechnology, and chemical analysis to advance environmental sustainability through theoretical and experimental approaches.

Tara McAllisterمشاهده پروفایل

دانشیار

• Speech Learning
• Speech Sound Disorders
• Biofeedback Intervention
• +۵ مورد دیگر

Tara McAllister is an Associate Professor and Director of the Doctoral Program in Communicative Sciences and Disorders at New York University’s Steinhardt School. She leads the Biofeedback Intervention Technology for Speech (BITS) Lab , focusing on speech learning mechanisms and biofeedback treatments for speech disorders. Her work emphasizes acoustic and ultrasound biofeedback efficacy in resolving residual speech sound disorders, particularly in children. McAllister directs development of the staRt iOS app, expanding access to biofeedback training. She holds degrees from Harvard, MIT, and Boston University, with clinical expertise in speech-language pathology. Education: A.B./A.M., Linguistics, Harvard University (2003) M.S., Communication Disorders, Boston University (2007) Ph.D., Linguistics, MIT (2009) Research Interests: Speech motor control, perception-production links, bilingual phonological development, and technology-driven interventions. Her NIH-funded studies investigate biofeedback applications for speech disorders and crowdsourcing methodologies for perceptual analysis. Grants & Labs: NIH/NIDCD-funded BITS Lab research staRt app development since 2014 Teaching: Courses include Critical Evaluation of Research and Speech Science Instrumentation , emphasizing evidence-based practices in communication sciences.

Jeff Moherمشاهده پروفایل

دانشیار

• Cognitive psychology
• Cognitive neuroscience
• Visual attention
• +۱ مورد دیگر

Jeff Moher is an Associate Professor of Psychology and Co-Chair of the Department of Psychology at Connecticut College, where he has been teaching since 2017. He also serves as the Data, Information, and Society Pathway Co-Coordinator, demonstrating his leadership within the institution. His educational background includes a Ph.D. and M.A. from Johns Hopkins University and a B.S. from the University of Michigan. This strong academic foundation has prepared him for his research and teaching career in cognitive psychology. Moher's research focuses on cognitive psychology and cognitive neuroscience, particularly visual attention and cognition in action. His work investigates why distractions occur, when they are likely to arise, and what mechanisms humans can harness to avoid them. He has found that humans employ various cognitive mechanisms to minimize distractions based on explicit knowledge, task goals, object properties, and recent experience, though he has also discovered surprising limitations in attentional selection. His research is particularly relevant given that over 3,000 people are killed annually in the United States from distracted driving. His recent publications show a consistent trajectory examining attentional mechanisms, distraction, and visual processing across different contexts. His work frequently employs sophisticated methodologies to measure both cognitive and motor responses to distractions, revealing how seemingly minor distractions can accumulate to induce serious performance costs. Moher's research is currently funded by grants from the National Science Foundation and the National Institutes of Health, indicating the significance and quality of his work. He likely mentors numerous students through the department's research groups, contributing to their development as researchers. He directs the CAMELab (Center for Attention, Movement, and Embodied Learning), which utilizes multiple methodologies including eye-tracking, electroencephalography, three-dimensional reach-tracking, and psychophysics to approach questions about attention and distraction. Current projects in his lab explore why salient distractors cause people to give up quickly during visual search, the brain mechanisms involved in learning to ignore distractions, how internal distractions impact physical interactions with the world, and how hand movement paths reveal information about attentional processes.

Daniel Rodríguezمشاهده پروفایل

استاد

• Transportation Policy
• Environmental Planning
• Urban Health
• +۳ مورد دیگر

Daniel Rodríguez is Chancellor’s Professor of City & Regional Planning at UC Berkeley and Director of the Institute for Transportation Studies. His research examines transportation-land development interactions and their environmental/health consequences, with focus on climate adaptation strategies, equity in urban mobility, and health impacts in Latin American cities. Current projects analyze behavioral responses to extreme heat, green space benefits, and low-emission zones. Education: PhD, University of Michigan (2000) MS, Transportation, MIT (1996) BS, Business Administration, Fordham University (1994) Rodríguez employs interdisciplinary approaches to study how physical urban attributes influence behavior and health. His work integrates transportation policy, environmental planning, and health geography, emphasizing low-income communities. Research utilizes geospatial analysis, epidemiological methods, and behavioral modeling to inform urban sustainability. Publications focus on transportation equity (45%), urban health (35%), and climate adaptation (20%), with strong emphasis on Latin America. Recent articles demonstrate innovative spatial analysis techniques including computer vision and multi-city ecological studies. Awards: Best Paper, Risk Analysis (2015) Excellence in Safety Research Award, RWJF/CDC (2015) Fred Burggraf Award, TRB (2000) Advises doctoral students and teaches sustainable mobility, transportation policy, and active transportation planning. Leads research teams on SALURBAL project analyzing urban health determinants across 11 countries. Future work focuses on climate-resilient infrastructure financing and mega-city mobility transitions.

• Bioinformatics
• Genomics
• Transcriptomics
• +۶ مورد دیگر

Owen R. White is a Professor in the Department of Epidemiology & Public Health at the University of Maryland School of Medicine, serving as Associate Director of the Institute for Genome Sciences and Associate Director of Research Collaboration & Development. He leads a team of 25 scientists and engineers developing genomic annotation pipelines and data analysis tools for state-of-the-art research in microbiome and multi-omic studies. His academic background includes: BS in Biotechnology from the University of Massachusetts (1985) PhD in Molecular Biology from New Mexico State University (1992) Postdoctoral Fellowship in Genome Informatics at the Institute for Genomic Research (TIGR) (1994) Dr. White's research spans bioinformatics, genomics, transcriptomics, and metagenomics with emphasis on data management, metadata standards, ontologies, and cloud systems. His work has been foundational for large-scale initiatives like the Human Microbiome Project (HMP) and Integrative Human Microbiome Project (iHMP), generating over 50,000 datasets totaling 10 terabytes of multi-omic data. Analysis of his recent publications reveals a strong trend toward neuroscience multi-omics (BRAIN Initiative), cloud-based data infrastructure, and ethical data sharing frameworks. His work consistently bridges microbiome research with emerging fields like single-cell analysis and Alzheimer's disease biomarker discovery through integrated data platforms. Notable awards include: Benjamin Franklin Award for Open Access in the Life Sciences (2015) Kumho Science International Award in Plant Molecular Biology and Biotechnology (2001) As Principal Investigator for major NIH-funded centers, he has secured sustained support for the HMP Data Analysis and Coordination Center and iHMP Data Coordination Center. His team's work combines fee-for-service models with collaborative research funding to maintain cutting-edge genomic analysis capabilities. The Institute for Genome Sciences houses his computational team responsible for developing production annotation pipelines, database systems, and visualization tools that serve researchers across the University of Maryland School of Medicine and national consortia.

Marko Hinkkanenمشاهده پروفایل

استاد

• Electric Drives
• Power Electronics
• Control Systems
• +۴ مورد دیگر

Marko Hinkkanen is a Professor at Aalto University's Department of Electrical Engineering and Automation, affiliated with the School of Electrical Engineering. His research focuses on electric drives, power electronics, and control systems, with a strong emphasis on sensorless control, grid converters, and motor drives. He has received numerous awards, including the IEEE Fellow distinction and multiple best paper awards for contributions to sensorless control and grid integration. Research interests span advanced control algorithms, power converter design, and renewable energy systems. His work addresses challenges in grid stability, motor drives under weak grid conditions, and energy-efficient control strategies. Notable achievements include innovations in bearingless motor systems and grid-forming converter control frameworks. His awards reflect impactful contributions: the Aalto ELEC Supervisor Award (2023) highlights exceptional mentorship, while the IEEE Fellow (2023) and numerous paper awards underscore technical excellence. Key publications include advancements in grid-forming control, sensorless techniques, and electromagnetic damping for aircraft systems. He has advised doctoral students such as F. M. Mahafugur Rahman and Hafiz Asad Ali Awan, whose theses won top awards. His labs and collaborations focus on cutting-edge topics like virtual air gap reactors and six-phase machine dynamics.

Paweł Chmuraمشاهده پروفایل

استاد

• Exercise Physiology
• Sports Science
• Football Performance Analysis
• +۳ مورد دیگر

Professor Paweł Chmura is a Full Professor at Wrocław University of Health and Sport Sciences, specializing in Sports Sciences with a focus on football performance analysis. He serves in the Department of Individual and Team Sports, where he conducts research on exercise physiology, training load monitoring, and physical activity analysis in soccer players. With over 130 publications, Professor Chmura is a recognized expert in sports science and also holds a UEFA A coaching license. Professor Chmura's research interests center on exercise physiology, particularly in the context of team sports. His work extensively examines repeated maximum effort capabilities, physical activity analysis in soccer players, and monitoring training loads. He has developed innovative concepts such as the Psychomotor Fatigue Threshold and investigates how environmental factors like temperature and air quality affect athletic performance. His research bridges the gap between theoretical sports science and practical coaching applications, making significant contributions to football performance optimization. Professor Chmura's extensive publication record demonstrates a consistent focus on soccer performance analysis, with recent work expanding into multidisciplinary approaches including physiological, psychological, and tactical aspects of the game. His research shows increasing sophistication in methodology, incorporating advanced monitoring technologies and comprehensive analysis frameworks that consider multiple performance indicators simultaneously. This evolution reflects broader trends in sports science toward integrated, holistic approaches to athlete performance. Professor Chmura actively supervises the Motosoccer Student Research Club and invites master's and doctoral students to collaborate on research projects related to football, exercise physiology, game analysis, and motor preparation. His mentorship extends beyond formal academic supervision to practical coaching guidance, leveraging his UEFA A coaching certification to provide students with both theoretical knowledge and practical field experience. As a UEFA A-licensed football coach and tennis instructor, Professor Chmura maintains strong connections between academic research and practical sports applications. He leads the Motosoccer Student Research Club, which provides hands-on research opportunities for students interested in sports science. His dual expertise in academic research and practical coaching creates a unique environment for applied sports science research that directly impacts coaching methodologies and athlete development.

Gail E. Josephمشاهده پروفایل

استاد

• Early Childhood Education
• Child Development
• Social-Emotional Learning
• +۳ مورد دیگر

Gail E. Joseph is a Professor in the College of Education at the University of Washington, with affiliations in Early Childhood & Family Studies and Learning Sciences & Human Development. She teaches courses, advises students, and conducts research on early care and education, focusing on child care quality, social-emotional learning, teacher education, and technology integration. Ph.D., University of Washington Her research projects include statewide surveys on early childhood workforce conditions, studies on digital professional learning tools like Circle Time Magazine, and evaluations of coaching interventions (e.g., FIND in Childcare) to improve teacher-child interactions. She co-created resources such as Teacher Time and the EarlyEdU Alliance, which aims to enhance early childhood education through accessible bachelor’s degrees. Her publications span topics like social-emotional curricula, behavioral interventions, and inclusive education frameworks. She has held leadership roles as Principal Investigator (PI) of the Head Start Center for Inclusion and Co-PI of the National Center for Quality Teaching and Learning (NCQTL). 2018 David R. Thorud Leadership Award (University of Washington) She currently serves as Executive Director of Cultivate Learning at the University of Washington, advancing professional development and quality improvement initiatives nationwide.

Sue Catonمشاهده پروفایل

مدرس ارشد

• Health Inequalities
• Intellectual Disabilities
• Digital Inclusion
• +۳ مورد دیگر

Dr Sue Caton is a Senior Lecturer in the Department of Social Care and Social Work at Manchester Metropolitan University, within the Faculty of Health and Education. Her research focuses on social and health inequalities affecting people with intellectual disabilities, particularly digital inclusion, mental health medication decision-making, and pandemic impacts. She leads projects such as Digital Lifeline (NIHR-funded), Medications and My Mental Health (NIHR RfPB), and co-leads Our Digital Health (NIHR RfSC), emphasizing co-produced methodologies. Research Projects: Digital Lifeline: Evaluating tablet impact on social connections post-pandemic. Medications and My Mental Health: Empowering informed medication decisions for people with learning disabilities. Our Digital Health: Assessing digital health participation barriers. Key Expertise: Qualitative research, health inequalities, inclusive research design, and participatory methodologies. Her work addresses pandemic-related challenges faced by marginalized groups, including access to healthcare and social support. She has supervised four completed PhD students and currently mentors four PhD candidates exploring topics such as digital inclusion, animal-assisted interventions, and familial perspectives in parenting support. Dr Caton has led evaluations for initiatives like the Shared Lives 16+ project and the Us Too project on domestic abuse, demonstrating expertise in policy-informed research. Her contributions include over 50 peer-reviewed articles, focusing on digital participation, mental health, and pandemic resilience among people with intellectual disabilities. Awards: No specific scientific awards mentioned, though her work is funded by prestigious bodies like NIHR and UKRI. Labs/Teams: Collaborates with interdisciplinary teams including Dudley Voices for Choice, Liverpool John Moores University, and the Universities of Dundee, Warwick, and Birmingham City.

• Product Development Methodology
• Lightweight Structures
• Systems Engineering
• +۵ مورد دیگر

Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts