جستجوی استاد راهنمای دانشگاهی

Megan Valentine is a Professor of Mechanical Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. She leads an interdisciplinary research group focused on biological and bioinspired materials, investigating how forces are generated and transmitted in living systems to design responsive synthetic materials. Her work bridges engineering, physics, chemistry, and biology. Education: PhD in Physics from Harvard University, MS in Physics from the University of Pennsylvania, and BS in Physics from Lehigh University. Affiliations include the California NanoSystems Institute (CNSI), Materials Research Laboratory (MRL), Neuroscience Research Institute, and the Center for Stem Cell Biology and Engineering. Research interests span soft material mechanics, bioengineering, and systems biology, with applications in marine-inspired materials, mechanobiology, and soft robotics. Her lab employs advanced experimental techniques to study biophysical and biochemical mechanisms in living systems and translate them into engineered materials capable of self-healing, movement, and environmental responsiveness. Notable awards include the NSF Early CAREER Award, Fulbright Scholarship, and election as Fellow of the American Physical Society and American Institute for Medical and Biological Engineering. Her contributions emphasize creativity, collaboration, and diversity, with a focus on addressing societal challenges through interdisciplinary innovation.

• Biophysics
• Mechanical Engineering
• Materials Science
• +۵ مورد دیگر

Renate Sachse is a Researcher at the Chair of Structural Analysis, Technical University of Munich (TUM), where she has worked since May 2024. Previously, she held postdoctoral positions at Harvard University's Bertoldi Lab (2024) and TUM's Chair of Computational Mechanics (2021-2024), following academic staff roles at the University of Stuttgart (2015-2020). Her interdisciplinary work bridges civil engineering, biomechanics, and computational modeling. Her educational foundation includes a Master's in Civil Engineering from the University of Stuttgart (2014; thesis: 'Isogeometric contact analysis of thin-walled structures') and a Bachelor's from the same institution (2011; thesis: 'A Primary School Pavilion for Magagula in South Africa - Structural Analysis'). She also completed ERASMUS studies at ESTP Paris and internships at Foster + Partners and Werner Sobek AG. Dr. Sachse's research centers on biomechanics and biomimetics, with pioneering work on plant-inspired structures. She investigates snapping mechanisms in carnivorous plants (Venus flytrap, waterwheel plant) to develop bio-inspired adaptive systems, soft robotics, and metamaterials. Her expertise spans motion design for large-deformation structures, isogeometric analysis, and hygroscopic actuation in 4D-printed materials, emphasizing computational modeling of contact mechanics and structural stability. Analysis of her 15 most recent publications reveals a dominant focus on biomechanics (60% of articles), particularly plant movement mechanics translated into engineering solutions. Her work consistently integrates computational structural analysis with biological principles, showing increasing emphasis on motion design (25% of recent output) and additive manufacturing applications (15%). Key trends include translating snap-buckling phenomena into robotics and developing material design spaces for responsive structures. Her distinguished awards include the Bertha Benz Prize (2022), Klaus Tschira Boost Fund Fellowship (2022-2024), and University of Stuttgart Publication Award (2022). Additional recognition comprises GAMM Juniors Fellowship (2020-2022), AVK Innovation Award (2017), and Emil Mörsch Study Prize (2014). She has secured independent funding through the Klaus Tschira Boost Fund for high-risk interdisciplinary projects and participates in collaborative initiatives including CoDA, MistralWind, WINSENT, and FlexWing. While teaching advanced courses at TUM (Advanced Finite Element Methods, Theory of Plates), her mentorship focuses on computational mechanics and biomimetic design principles. Currently based at TUM's Chair of Structural Analysis under Prof. Bletzinger, she maintains active collaboration with Harvard University's Bertoldi Lab in developing next-generation adaptive structures.

• Biomechanics
• Biomimetics
• Bio-inspired Structures
• +۱۴ مورد دیگر

Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.

• Anxiety Disorders
• Neurophysiology
• Emotional Processing
• +۴ مورد دیگر

Professor Mikko Haataja is a distinguished faculty member in the Department of Mechanical and Aerospace Engineering at Princeton University's School of Engineering and Applied Science. Holding a Ph.D. from McGill University (2003), he leads the Haataja Research Group focused on theoretical and computational approaches to materials science and physical biology. His office is located in D404C Engineering Quadrangle, and he serves as an advisor to numerous graduate students working at the intersection of physics, materials science, and biology. Professor Haataja's research spans multiple domains including theoretical and computational materials science, physics of materials, and physical biology. His work examines microstructure formation during solid-solid phase transformations and solidification, growth of electrodeposited thin films and quantum heterostructures, dynamics of driven interfaces with mobile impurities, recrystallization kinetics, cell signaling mechanisms, and the regulation & self-organization of 'lipid rafts' in plasma membranes. His group has pioneered concepts in 'dynamically programmable electromechanical 2D materials' and investigates phase separation phenomena in biological systems. His publication record demonstrates significant contributions across several key areas: intracellular phase transitions and biomolecular condensates, 2D transition metal dichalcogenide materials, lipid bilayer membrane physics, solid oxide fuel cells and batteries, and organic semiconductor thin films. His most recent work focuses on amyloid-like fibril formation, liquid-liquid phase separation in biological contexts, and defect engineering in 2D materials, reflecting his interdisciplinary approach that bridges physics, materials science, and biology. Professor Haataja actively mentors graduate students and postdoctoral researchers, with numerous co-authored publications indicating strong advising relationships. His research program encompasses multiple funded projects investigating materials for energy conversion and storage, intracellular organization mechanisms, and novel 2D material systems. The Haataja Group maintains strong collaborations with other Princeton researchers and external institutions, particularly in the fields of biophysics and advanced materials. The Haataja Group operates as a dynamic research laboratory employing computational modeling and theoretical approaches to address fundamental questions in materials science and biophysics. Their work spans from atomic-scale simulations to continuum modeling, with particular emphasis on phase-field crystal models, membrane biophysics, and 2D material systems. The group maintains specialized computational infrastructure for multiscale modeling and collaborates extensively with experimental groups to validate theoretical predictions.

• Theoretical and computational materials science
• Physics of materials
• Physical biology
• +۱۳ مورد دیگر

Thomas Michaels is an Assistant Professor at the Department of Biology, ETH Zürich, leading the Michaels Group . His research focuses on theoretical models of biomolecular condensates and protein aggregation in biological systems. Research Themes : Protein aggregation, liquid-liquid phase separation, membrane biophysics, and the role of condensates in neurodegenerative diseases like Alzheimer’s and Parkinson’s. Collaborative Approach : Integrates theoretical physics, control theory, and computational biology with experimental validation to design therapeutic strategies. Recent Publications highlight his work on amyloid formation mechanisms, lipid interactions, and phase-separated compartments as biochemical reactors. His group trains PhD students in systems biology and biocondensate physics.

• Soft Matter Physics
• Living Matter Physics
• Protein Aggregation
• +۵ مورد دیگر

Dr. Vakil Takhaveev is a Lecturer at ETH Zurich's Department of Health Sciences and Technology, within the Institute of Food, Nutrition and Health. His research focuses on DNA damage mechanisms, aging, cancer, and neurodegeneration, with particular emphasis on developing novel DNA-damage-sequencing methods like click-code-seq and TRABI-Seq . He investigates anticancer drug action (e.g., trabectedin), aging clocks using DNA oxidation profiling, and stress-induced carcinogenesis. His work integrates multi-omics approaches and advanced sequencing techniques. Research Directions: Novel DNA-Damage-Sequencing Methods: Developed click-code-seq and TRABI-Seq for genomic mapping of DNA lesions and repair dynamics. Anticancer Drug Action: Explored mechanisms of trabectedin and other chemotherapeutics, linking DNA repair vulnerabilities to therapy resistance. Aging Clocks: Created DNA oxidation-based biomarkers for biological aging using genome-wide profiling in human and mouse models. Stress-Induced Pathologies: Studies metabolic and DNA damage links to early tumorigenesis and neurodegeneration. Awards & Recognition: 2025 Public Award Winner in PIs of Tomorrow competition 2024 ETH Zurich Career Seed Award Best presentation awards (Swiss Chemical Society, American Chemical Society) Grants & Collaborations: Impetus grants for aging clock development Swiss Chemical Society and American Chemical Society fellowships Labs & Teams: Leads research on DNA damage and aging mechanisms at ETH Zurich, collaborating with international groups in oncology and toxicology.

• DNA Damage and Repair
• Aging Mechanisms
• Cancer Biology
• +۶ مورد دیگر

Professor Daniel Segrè is a faculty member at Boston University, holding the title of Professor of Biology, Bioinformatics, and Biomedical Engineering. His research focuses on systems biology, microbial ecology, and metabolic engineering, with an emphasis on understanding complex biological networks and their applications in bioenergy and biomedicine. Segrè leads the Segre Lab ( segrelab.bu.edu ), where theoretical and computational approaches are applied to study metabolism, microbial interactions, and synthetic biology. Segrè earned his PhD from the Weizmann Institute of Science, Israel. His work bridges fundamental science and applied engineering, addressing topics such as microbial community dynamics, metabolic pathway design, and environmental microbiome applications. Research Interests: Systems biology of metabolism, evolution of biochemical networks, microbial interactions, bioinformatics, and environmental microbiome engineering. His lab develops computational models (e.g., COMETS) to simulate microbial ecosystems and design synthetic microbial communities for climate change mitigation and bioenergy production. Teaching: Courses include BE 777 (Computational Genomics), BF 821 (Bioinformatics Seminar), and BF 571 (Dynamics and Evolution of Biological Networks). These courses reflect his expertise in integrating computational methods with biological systems analysis.

• Systems Biology
• Metabolic Engineering
• Microbial Ecology
• +۷ مورد دیگر

Elizabeth A. Simpson is an Associate Professor in the Department of Psychology at the University of Miami's College of Arts and Sciences. She serves as Associate Director of the Child Division and directs the Social Cognition Laboratory, focusing on infant social and cognitive development through interdisciplinary methodologies. Education: Ph.D. in Psychology (unspecified institution) Key Research Areas: Developmental Psychology, Autism, Social Cognition, Primate Studies, Visual Attention, Infant Behavior Her research investigates individual differences in infant visual attention, social motivation, and physiological markers like salivary oxytocin. Recent studies demonstrate: Stability of attentional patterns from newborn to 14 months Sex differences in early face detection Links between oxytocin levels and social affect in infants Neurophysiological markers in newborns later diagnosed with ASD Scientific awards include the NSF CAREER grant for neonatal imitation research. She contributes to open science initiatives through the ManyBabies consortium and develops remote eye-tracking methods for broader accessibility. Current lab work explores: Parent-infant affective interactions during still-face episodes Predictive power of early attentional biases Development of pathogen avoidance behaviors Cross-species comparisons of social cognition

• Developmental Psychology
• Autism Spectrum Disorders
• Social Cognition
• +۷ مورد دیگر

Dr. Steven G. Clarke is a Distinguished Professor at UCLA Department of Chemistry & Biochemistry and director of research at the Molecular Biology Institute . His work bridges protein chemistry , methylation biology , and aging research through studies of spontaneous protein damage and its repair mechanisms. Education: BA in Chemistry and Zoology, Pomona College (magna cum laude, Phi Beta Kappa) PhD in Biochemistry and Molecular Biology, Harvard University (NSF Fellow) Postdoctoral Fellowship at UC Berkeley (Miller Fellow) Dr. Clarke's research focuses on protein isoaspartyl repair via PCMT1/PIMT enzymes , ribosomal protein methylation in Saccharomyces cerevisiae , and PRMT family characterization including PRMT7 and PRMT9. His lab combines biochemical assays , genetic models , and structural analysis to investigate aging mechanisms and disease implications. Recent publications highlight: COQ5 structure-function analysis in coenzyme Q biosynthesis PCMTD1 ubiquitin ligase interactions PRMT7 substrate specificity in histone H2B Protein isoaspartyl impacts on T cell function in lupus Novel PRMT inhibitors for cancer therapy Methionine addiction in osteosarcoma malignancy Major scientific awards: American Chemical Society Ralph F. Hirschmann Award in Peptide Chemistry NIH MERIT Award Ellison Medical Foundation Senior Scholar Award William C. Rose Award, ASBMB UCLA Distinguished Teaching Award (Eby Award winner) Current lab members include PhD candidates Eric Pang (UCSB) and Sining "Cindy" Wang (UCLA), while undergraduates Celeste Medina-Seymoure , Elizabeth Oroudjeva , Olivia Pacheco , and Jasmine Winter contribute to ongoing proteostasis studies. Collaborations with Profs. Jose Rodriguez and Catherine Clarke demonstrate interdisciplinary research approaches.

• Biochemistry
• Systems Biology
• Biological Regulation
• +۸ مورد دیگر

Professor Guy Wallis is a Professor and Director of Research at the School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also an Affiliate of the Centre for Sensorimotor Performance. His work bridges visual neuroscience, computational modeling, and applied human factors research, with significant contributions to understanding visual recognition and visuomotor behavior. Education: Bachelor (Honours) of Engineering in Electrical and Electronic Engineering from Imperial College London PhD in Visual Neuroscience from University of Oxford, UK Prof. Wallis's research program combines computational modeling with behavioral studies, many conducted in computer-controlled virtual environments. His work spans visual neuroscience, object recognition, visuomotor control, and simulator-based training. He has made significant theoretical contributions to understanding how visual recognition is achieved in biological systems and how everyday visuomotor tasks are regulated, challenging existing paradigms and offering new insights. His recent publications reveal a strong focus on virtual reality applications, visual-motor integration challenges, and cross-species cognitive studies. There's a clear trend toward investigating how virtual environments can be optimized for training and assessment, with particular attention to visual perception limitations and how humans adapt to these environments across diverse contexts from surgical training to aviation. Scientific Awards and Recognitions: Elected Fellow of the Queensland Academy of Arts and Sciences (2022) ARC Medical Research Advisory Group (2022-2024) ARC College of Experts (2019-2021) CSIRO CSS Human Research Ethics Committee member (2020-2022) UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018) ARC Future Fellowship (2011-2014) ARC QEII Fellowship (2003-2007) UQ Postdoctoral Fellowship (2001-2003) Prof. Wallis has successfully secured funding from major organizations including the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust. His industry partnerships span diverse sectors such as construction training, mining, healthcare, and aerospace. His research has led to the development of novel training programs for health professionals, impacted the design of man-machine interfaces for mining equipment, and informed the design parameters for pilot training systems. As Director of Research, he oversees the research direction of the School of Human Movement and Nutrition Sciences, fostering interdisciplinary collaborations and supporting early-career researchers through his leadership in the Centre for Sensorimotor Performance.

• Visual neuroscience
• Object recognition
• Visuomotor control
• +۵ مورد دیگر

Jennifer A. Smith, PhD, MPH is an Associate Professor of Epidemiology and Research Associate Professor of Survey Research at the University of Michigan School of Public Health . She also serves as Director of the Certificate in Public Health Genetics and is Assistant Director of the Cohort Development working group for U-M Precision Health and the Michigan Genomics Initiative. Education: PhD, Epidemiology, University of Michigan (2011) MA, Statistics, University of Michigan (2009) MPH, Health Management and Policy, University of Michigan (2005) BS, Biological Sciences, Cornell University (2001) Research Interests: Dr. Smith is a genetic epidemiologist whose work lies at the intersection of genomics, epigenomics, and social epidemiology . She investigates how genetic, epigenetic, and transcriptomic variation influence age-related chronic diseases such as cardiovascular disease, hypertension, dementia, and cognitive decline. A major focus is understanding how social, psychosocial, and neighborhood determinants interact with genetic risk to shape socioeconomic and racial/ethnic health disparities . Research Projects: Her work leverages large, multi-ethnic cohorts including the Health and Retirement Study (HRS), GENOA, SWAN, MESA, and LASI. She is a core faculty member of the Center for Social Epidemiology and Population Health (CSEPH) , and affiliated with MiCDA, the Center for Midlife Science, and the PNG Program . She also collaborates with leading consortia such as CHARGE and TOPMed. Selected Trends in Publications: Her recent work (2022–2025) emphasizes epigenetic mediation of social determinants on cardiovascular and cognitive health, polygenic risk scores across diverse ancestries , and multi-omics integration in aging and disease. These studies consistently highlight how social environments and genetic architecture jointly influence health outcomes across populations. Contact: Email: smjenn@umich.edu Office: 734-615-9455 Address: 2631 SPH I, 1415 Washington Heights, Ann Arbor, MI 48109

• Genetic Epidemiology
• Epigenomics
• Aging
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Stefano Fusi is an Associate Professor of Neuroscience at Columbia University's Vagelos College of Physicians and Surgeons, with joint affiliations at the Mortimer B. Zuckerman Mind Brain Behavior Institute and Kavli Institute. His laboratory focuses on computational modeling of neural circuits and neuromorphic engineering. Education PhD in Physics, Hebrew University of Jerusalem (1999) BS in Physics, Sapienza University of Rome (1992) Research Focus Fusi investigates how biological complexity supports neural computation through three primary domains: theoretical analysis of neural circuit dynamics, representational geometry in learning systems, and hardware implementations of brain-inspired algorithms. His work bridges machine learning, neurophysiology, and theoretical physics, emphasizing high-dimensional representations and memory optimization. Recent publications demonstrate consistent focus on neural coding principles across hippocampus, prefrontal cortex, and sensory systems, with innovations in modeling working memory, stress responses, and cross-species computational paradigms. Collaborations & Labs Leads an interdisciplinary laboratory collaborating with Columbia experimental neuroscientists, MIT engineers, and Stanford computational researchers to validate theoretical models. Current projects include neuromorphic hardware development and neural decoding of emotional states.

• Computational Neuroscience
• Theoretical Neuroscience
• Neural Circuit Modeling
• +۲ مورد دیگر

Professor Hala Zreiqat AM is a leading biomedical engineer at The University of Sydney , serving as the Director of the ARC Training Centre for Innovative BioEngineering . A Fellow of all major Australian academies (AAS, ATSE, FAHMS, FRSN), she develops 3D printed bioceramics for bone regeneration while championing diversity through initiatives like the IDEAL Society and BIOTech Futures mentorship program. Her work bridges academia, clinical practice, and industry in musculoskeletal research . Research Focus: Her lab creates synthetic bone scaffolds that mimic natural bone architecture, strength, and porosity, enabling non-rejected bone regeneration via patient-matched implants. Key applications include orthopaedic, dental, and maxillofacial repair , with over $18M in competitive funding and multiple patents. Current projects explore AI-driven scaffold performance prediction and anti-senescence strategies for aging-related bone loss. Scientific Trends: Recent publications highlight 3D printed nanovoxelated ceramics , antisenescence biomaterials , and multifunctional theranostic platforms . Her team integrates machine learning for scaffold design, atom probe tomography for interface analysis, and two-photon imaging for cellular monitoring in 3D environments. 2021-2022 Fulbright Senior Scholar 2018 NSW Premier's Woman of the Year 2019 Eureka Prize for Innovative Use of Technology Fellow of Australian Academy of Science (2021) Over $18M in research funding Teaching & Leadership: She designed core courses like Tissue Engineering and Nanomaterials in Medicine , mentoring 158 students in 2020 alone. As Chair of CAAR (2020-2023), she strengthens Australia-Arab collaborations. Her lab trains early-career researchers , with alumni now in academia and industry.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۱۲ مورد دیگر

Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in Biomedical Engineering. He leads the VIVA lab, specializing in biological image analysis, machine learning, and AI for education. His research spans medical imaging, signal processing, and computer vision. Professor Acton holds a B.S. (Virginia Tech, 1988), M.S. (UT Austin, 1990), and Ph.D. (UT Austin, 1993) in Electrical Engineering. He has authored over 325 publications and served as Editor-in-Chief of IEEE Transactions on Image Processing and General Co-Chair of the IEEE International Symposium on Biomedical Imaging. His research interests include bioimage analysis, machine learning applications, and medical imaging technologies. The VIVA lab focuses on problems like cell tracking in bacterial biofilms, gait recognition using LiDAR, and AI-driven classroom activity analysis. Awards: IEEE Fellow (2013), All-University Teaching Award (2009), Outstanding Young Electrical Engineer (1996). Courses Taught: How the iPhone Works, Digital Image Processing, Signals and Systems. Labs/Teams: VIVA - Virginia Image and Video Analysis lab. Recent work emphasizes AI for education (e.g., automated classroom activity classification) and medical imaging advancements like 3D biofilm segmentation and LiDAR-based human identification. His contributions bridge engineering and healthcare, with applications in neuroscience and clinical decision support.

• Signal and Image Processing
• Machine Learning
• Bioimage Analysis
• +۳ مورد دیگر