جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +۳ مورد دیگر

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

• Digital Design and Manufacturing (D2M)
• Sustainable Manufacturing
• Optimization Driven Design
• +۷ مورد دیگر

Inigo Flores Ituarte is a Research Professor at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Automation Technology and Mechanical Engineering department. He leads the Digital Design and Manufacturing (D2M) research lab, focusing on sustainable manufacturing and twin-transition strategies integrating digital and green technologies. His work emphasizes optimization-driven design, additive manufacturing innovations, and AI-driven expert systems to enhance energy efficiency and reduce environmental impacts. Key research pillars include: Pillar 1: Twin-transition in Engineering Design and Manufacturing Processes, addressing sustainable manufacturing and intelligent systems Pillar 2: Development of open D2M systems and Process-Structure-Property-Performance (PSPP) linkages in advanced materials His research explores multi-disciplinary optimization combining model-based simulations and data-driven techniques. Notable contributions include generative AI integration in CAD systems, cognitive manufacturing systems, and cost-effective process monitoring using CNN-based methods. Inigo's work emphasizes environmental sustainability, with a focus on reducing manufacturing's energy consumption (54% of global use) and CO2 emissions. He advocates for interconnected material systems, smart manufacturing processes, and AI-assisted decision-making to achieve cognitive intelligence in industrial operations. His D2M lab's overarching goal is to maximize product/process performance while improving cost-effectiveness and minimizing environmental footprints. Recent projects include railway bogie demonstrators via multi-material deposition and sensor systems leveraging IoT and ChatGPT integration.

Bertrand Costeمشاهده پروفایل

پژوهشگر

• Mechanosensation
• Neuroscience
• Molecular Biology
• +۳ مورد دیگر

Bertrand Coste is a CNRS Researcher at the Cognitive Neuroscience Laboratory (Aix-Marseille University/CNRS), specializing in mechanosensation and ion channel biology. He developed pioneering techniques to study mechanically activated ion channels, notably discovering the PIEZO1 and PIEZO2 channels with Prof. Ardem Patapoutian, which contributed to the 2021 Nobel Prize in Physiology or Medicine. His current work focuses on pain perception mechanisms and cardiovascular functions of PIEZO channels. Education: Completed his PhD at the Laboratoire de neurophysiologie cellulaire in Marseille, followed by postdoctoral research at the Scripps Research Institute, CA (2007–2012). Research Interests: Molecular basis of mechanosensation, mechanosensitive ion channels (PIEZO family), pain signaling, and cardiovascular physiology. His studies bridge molecular neurobiology with clinical applications in chronic pain management and genetic disorders linked to mechanosensory defects. Publications highlight advancements in PIEZO channel structure-function relationships, their roles in sensory perception, and contributions to pathologies like hereditary stomatocytosis and arthrogryposis. His work integrates genetics, cell biology, and biophysics to decode mechanical signaling pathways. Received the Brixham Foundation 2022 Award (Fondation pour la Recherche Médicale) for research on pain mechanisms. Collaborates with interdisciplinary teams at the CNRS and Aix-Marseille University, advancing translational neuroscience initiatives.

• Construction Robotics
• Human-Robot Collaboration
• Wearable Sensors
• +۴ مورد دیگر

Houtan Jebelli is an Assistant Professor in Civil and Environmental Engineering at the University of Illinois. His research focuses on construction robotics, human-robot collaboration, and wearable sensing technologies for worker health and safety monitoring. He directs research on exoskeleton applications, fall risk detection, and AI-enabled monitoring systems for construction environments. Research interests include: Human-robot collaboration in construction sites Physiological monitoring using wearable sensors Exoskeleton technology and ergonomic assessment AI-enabled safety management systems Robotic inspection and defect detection Jebelli's recent work demonstrates strong interest in bridging robotics with occupational health, particularly studying cognitive and physiological impacts of wearable robotics. His publications frequently address real-time monitoring systems and human factors in construction technology adoption.

Irina A. Anselmمشاهده پروفایل

استادیار

• Genetics
• Neurology
• Metabolic Disorders
• +۵ مورد دیگر

Irina A. Anselm, MD is Assistant Professor of Neurology at Harvard Medical School and Director of the Mitochondrial Program at Boston Children's Hospital. She co-directs the Neurometabolic Program and serves as clinical expert for the hospital's Precision Medicine Service. Her work spans pediatric neurology , neurogenetics , and mitochondrial medicine . Medical School: St. Petersburg Pediatric Medical Academy (1984) Residency: University of Massachusetts Medical Center (1995) Fellowship: New England Medical Center (1998) Dr. Anselm specializes in mitochondrial disorders and neurometabolic syndromes affecting children. Her research focuses on genetic diagnosis , experimental therapies , and clinical management of these complex conditions. She leads clinical trials evaluating novel treatments like dichloroacetate (DCA) for lactic acidemia and collaborates with biotech companies on gene therapy approaches. Key publication areas include mitochondrial disease pathophysiology , neurodevelopmental genetic mutations , and experimental treatment outcomes . She has authored consensus guidelines for mitochondrial disease management and serves as reviewer for multiple journals including Journal of Pediatric Neurology and Current Pediatric Reviews .

Malin Brobergمشاهده پروفایل

استاد

• Developmental Psychology
• Disability Studies
• Family Welfare Systems
• +۶ مورد دیگر

Malin Broberg is a Professor in Psychology and the current Vice-Chancellor (since 2023) and President of the University of Gothenburg. She was previously Dean of the Faculty of Social Sciences at the same institution. Educated at Umeå University, she is a licensed psychologist with a clinical background in child and youth habilitation. Her research focuses on: Welfare systems for families with disabled children Stress coping mechanisms Neurodevelopmental impacts of brain damage in children Augmentative and Alternative Communication (AAC) Parental well-being and resilience Recent publications (2024-2023) highlight her work in neuropsychology, health-promoting learning environments, and AAC interventions for children with profound disabilities. She has collaborated with researchers in Sweden and the USA, and her work appears in journals like Child Neuropsychology and Disability and Rehabilitation-Assistive Technology . Malin Broberg has supervised doctoral and Master’s theses in developmental psychology and disability research. She has also served as General Secretary of the International Association for the Scientific Study of Intellectual and Developmental Disabilities (IASSIDD).

Ju Luمشاهده پروفایل

استادیار

• Neuroscience
• Neural Circuitry
• Synaptic Plasticity
• +۳ مورد دیگر

Ju Lu serves as an Assistant Professor at Lehigh University with office location in Iacocca Hall (room 0111), contactable via phone (610.758-3687) and email (jul724@lehigh.edu). Her academic position reflects active engagement in neuroscience research and education within the university's life sciences framework. Education Background: Ph.D. in Neurobiology from Harvard University (2008) B.Eng. in Microelectronics from Tsinghua University (2002) Research Focus: Dr. Lu's work pioneers investigations into neural circuit dynamics and synaptic plasticity mechanisms using advanced optical imaging technologies. Her research spans: Cortical circuit reorganization during motor skill acquisition across species Stress-induced synaptic alterations mediated by microglia in prefrontal circuits Therapeutic applications of psychedelic compounds for neural circuit restoration Development of three-photon microscopy for deep-brain imaging Genetically-encoded neurotransmitter sensors for in vivo studies This multidisciplinary approach bridges molecular neuroscience, systems-level circuit analysis, and translational mental health applications. Publication Trends: Analysis of Dr. Lu's 15 most recent publications (2016-2023) reveals an evolving trajectory from foundational studies on dendritic spine plasticity toward translational neuroscience. Early work emphasized optical imaging methodology and basic plasticity mechanisms, while her 2021-2023 publications increasingly focus on stress-related circuit disruptions and psychedelic therapeutics. A consistent thread involves combining high-resolution in vivo imaging with behavioral models to establish causal links between neural circuit dynamics and cognitive functions. Honors and Awards: No scientific awards or fellowships were documented in the provided materials. Mentorship and Funding: While specific student mentees and grant funding details are not specified in the source text, her extensive collaborative publication record indicates active supervision of research personnel and successful acquisition of research support. Research Infrastructure: Her methodological expertise in advanced microscopy suggests utilization of specialized imaging facilities, though no dedicated laboratory or research team is explicitly identified in the available documentation.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +۵ مورد دیگر

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

Kate Fuمشاهده پروفایل

دانشیار

• Design Innovation
• Creativity
• Design Theory and Methodology
• +۹ مورد دیگر

Dr. Kate Fu is the Jay and Cynthia Ihlenfeld Associate Professor of Mechanical Engineering at the University of Wisconsin-Madison. She previously held academic positions at Georgia Institute of Technology (2014-2021) and completed postdoctoral fellowships at MIT and Singapore University of Technology and Design. Her education includes a Ph.D. (2012), M.S. (2009) from Carnegie Mellon University, and B.S. (2007) from Brown University. Her research focuses on engineering design cognition, computational design tools, and design innovation. Key areas include creativity enhancement, design-by-analogy methodologies, and integrating artificial intelligence into design processes. She has pioneered work on gender dynamics in engineering teams and equity in education. Notable awards include the NSF CAREER Award (2019), ASME Young Investigator Award (2020), and SREB Mentor of the Year (2022). She actively contributes to engineering education through courses like Geometric Modeling for Design, Experiential Design Projects, and graduate research supervision. Her work bridges disciplinary boundaries with projects on additive manufacturing, design justice frameworks, and social impacts of engineering solutions. Current research explores equity in makerspaces, energy justice metrics, and cognitive processes in design teams.

• Political Identity
• Religion and Politics
• Race and Politics
• +۷ مورد دیگر

Dr. Levi G. Allen is an Assistant Professor in the Department of Political Science at Indiana State University, affiliated with the College of Arts & Sciences. He holds a Ph.D. and M.A. in Political Science from the University of Notre Dame (2023, 2020) and a B.S. in Political Science from Indiana State University (2018). Research Interests: His work explores the intersection of political identities—particularly religion, race, and place—and how these shape electoral decisions. He investigates when and why voters deviate from expected partisan loyalties, as explored in his book project Political Heretics: Why Voters Defect from their Social Identities . His research bridges political psychology, American politics, and cultural sociology. Publication Trends: His recent articles (2021–2024) analyze identity conflict, religious political behavior (especially among evangelicals and Catholics), secularism, ethnocentrism, and voter decision-making. They frequently appear in top journals such as Political Research Quarterly , Politics and Religion , and Advances in Political Psychology , indicating a strong focus on identity-based political behavior in the U.S. 2025 College of Arts and Sciences Educational Excellence Award in Research and Creativity Grants and Advising: Dr. Allen has secured multiple research grants, including a $5,000 interdisciplinary grant on sexuality and gender, a $2,700 University Research Grant, and a $3,000 award from the Society for the Scientific Study of Religion. He collaborates on interdisciplinary projects and serves as a principal investigator, though no formal advisees are listed. He is actively involved in university service and community engagement. Labs and Teams: While no formal lab is mentioned, Dr. Allen participates in collaborative research teams, particularly on interdisciplinary topics involving religion, gender, and political identity. He works with scholars like Geoffrey Layman, David Campbell, and others on large-scale political behavior studies.

Bei Beiمشاهده پروفایل

دانشیار

• Sleep Disorders
• Circadian Rhythm
• Clinical Psychology
• +۵ مورد دیگر

Dr. Bei Bei is an Associate Professor at the School of Psychological Sciences, Monash University, and an NHMRC Emerging Leadership (EL2) Fellow. She leads the Behavioural Sleep Medicine service, research, and training at Monash University Healthy Sleep Clinic, focusing on individual differences in sleep-wake behaviors, sleep-mental health relationships, and community dissemination of evidence-based sleep interventions. Doctor of Psychology (Clinical), University of Melbourne PhD, University of Melbourne Her research spans six major areas: Sleep-wake circadian rhythm disorders Cognitive Behavioral Therapy for Insomnia (CBT-I) Psychological/behavioral aspects of sleep Sleep-mental health interactions (mood, anxiety) Adolescent sleep patterns and wellbeing Perinatal/postpartum sleep interventions for women Recent publications (2024-2025) address: Insomnia treatment mechanisms in depression comorbidity Neurodevelopmental impacts of circadian factors Pregnancy-related insomnia risk identification Adolescent sleep facilitators/barriers Integrated models for youth depression and sleep across continents She also contributes to: Antifungal drug tolerance mechanisms RNA polyadenylation dynamics Mitochondrial RNA stability in cancer 3' UTR splice variants in rare diseases Awarded the NHMRC Emerging Leadership (EL2) Fellowship and Early Career Research Grant , Dr. Bei serves on editorial boards for Sleep Medicine Reviews, Sleep, and Behavioral Sleep Medicine journals.

Markus Riesslandمشاهده پروفایل

استادیار

• Cellular Senescence
• Neurodegenerative Diseases
• Parkinson's Disease
• +۳ مورد دیگر

Markus Riessland is an Assistant Professor at Stony Brook University’s Renaissance School of Medicine, part of the Empire Innovation Program focused on the Aging Brain. He holds a PhD from the University of Cologne, Germany, specializing in molecular biology, neuroscience, and neurodegenerative diseases. His research centers on cellular senescence in neurons, particularly post-mitotic dopaminergic neurons linked to Parkinson’s disease. He discovered that these neurons can undergo senescence, a process typically absent in non-dividing cells, which has implications for aging and neurodegeneration. Dr. Riessland’s lab employs stem cell models, mouse studies, and advanced sequencing techniques (TRAP-seq, RNA-seq) to investigate senescence mechanisms, identify genetic modifiers influencing neuronal vulnerability, and explore therapies to counteract senescence-driven pathology. His work bridges molecular biology and clinical implications, emphasizing translational approaches for age-related diseases. Notable achievements include an F1000 Exceptional Rating for his 2017 Cell Stem Cell paper and an AJHG Editor’s Corner Highlight for his ribosome profiling study. His research has led to insights on SATB1’s role in senescence, lipid-driven senescence in dopaminergic neurons, and midbrain inflammation in Parkinson’s. Collaborative efforts span international projects on SMA and neuroprotective modifiers like Neurocalcin Delta. While no students are listed here, his work impacts therapeutic development in neurodegenerative diseases through senolytic strategies and genetic interventions. Education: PhD in Molecular Biology from University of Cologne, Germany. Awards: F1000 Exceptional Rating (2017), AJHG Editor’s Corner Highlight (2017). Labs/Teams: Leads research on neuronal senescence mechanisms and therapeutic targets, integrating stem cell biology and systems biology approaches.

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

• Software Engineering
• Defect Prediction
• Automatic Software Repair
• +۳ مورد دیگر

Tracy Hall is Professor in Software Engineering at Lancaster University's School of Computing and Communications, where she holds a Chair in Software Engineering Research and serves as Director of Post Graduate Teaching. Previously, she was Professor and Head of Computer Science at Brunel University London, and has held visiting positions at University College London and adjunct roles at the University of Oslo. With over 20 years of empirical software engineering research experience, she maintains extensive industrial collaborations. Her research focuses on: Software defect prediction and automatic repair Code analysis methodologies Software testing frameworks Human factors in software development Empirical studies of developer behavior Tool development for software engineers She leads research in automated defect repair techniques and vulnerability prediction, with recent work exploring AI-driven approaches to software quality improvement. Her publication portfolio (100+ papers) shows consistent focus on software quality enhancement, with recent emphasis on explainable AI for vulnerability prediction (2025), developer-centric testing tools (2024), and human factors in bug resolution (2022). Research frequently involves large-scale empirical studies and industry partnerships. Awards include multiple best paper awards for her contributions to software engineering research. As Principal Investigator, she secured significant funding including: EPSRC Fixie project: £400,000 for defect prediction/repair (2018-2020) EPSRC Fault Analysis grant: £128,578 (2016-2019) Current PhD supervisees include Gaz Bennett, Jesse Phillips, and Miles Walker working on software engineering challenges. She contributes to the Cyber Security Research Centre , Security Lancaster , and DSI-Foundations research groups. Teaches courses on IT Architecture and Software Studio.

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.