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Baihua LiView profile

Professor

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +9 more

Professor Baihua Li is a Professor of Computer Vision and Machine Learning in the Department of Computer Science at Loughborough University. She is a key member of both the Centre for Sensing and Imaging Science and the Vision, AI, Autonomous and Human Centred Systems Research Group. With over 15 years of research experience, her work spans multiple disciplines including healthcare, sports science, environmental protection, and food manufacturing. Her educational background includes a BSc and MSc in Electronic Engineering from Tianjin University, China (one of China's top 15 universities), followed by a PhD in Computer Science from Aberystwyth University, UK. Prior to joining Loughborough University in 2015, she served as a Lecturer and later Senior Lecturer at Manchester Metropolitan University. Professor Li's research focuses on developing novel AI and machine learning technologies with applications across diverse sectors. Her primary expertise lies in computer vision, pattern recognition, and signal/image processing. She has made significant contributions to human motion tracking and activity recognition, which have been applied in sports performance analysis, healthcare diagnostics, and robotics. Her work emphasizes practical applications that solve real-world problems, from improving football analytics to developing sandwich-making robots. Her research team has developed AI systems for air pollution prediction, upper-limb prosthesis control, autism spectrum condition diagnosis in adults, and retinal disease identification. She has also led projects involving intelligent drone logistics for medical supplies and agricultural robots for precision crop spraying. MSDUK Innovation Challenge Award under category Industry 4.0 in 2019 Made in the Midlands 2023 Food and Drink Award for the Millitec KTP project Professor Li has secured over £1.4 million in external funding in the last three years, with ongoing grants exceeding £1.2 million. She leads a research team comprising 6 Postdoctoral Research Associates and 7+ PhD students. Her projects include AI for sleep breathing disorder diagnosis (£540k), food manufacturing automation (£204k), football action event detection (£359k), air quality monitoring (£470k), and agricultural robotics (£500k). She serves as the Impact Coordinator for her department, emphasizing the transfer of research to industry for societal and economic benefits. She leads an active research team within the Centre for Sensing and Imaging Science and the Vision, AI, Autonomous and Human Centred Systems Research Group. Her laboratory work spans multiple application domains including sports analytics with Statmetrix, food manufacturing automation with Millitec, environmental monitoring through the Triple-Network Air Quality project, and agricultural robotics for precision farming. Her team has developed the i-Gene delta robot that produces 750,000 sandwiches daily for a UK factory, addressing industry skills shortages.

Paul ShawView profile

Professor

• Sleep Neuroscience
• Memory Consolidation
• Neuronal Plasticity
• +4 more

Paul Shaw is a Professor of Neuroscience in the Department of Neuroscience at Washington University School of Medicine. He leads the Shaw Lab, which focuses on understanding the fundamental mechanisms of sleep and its relationship to cognitive function and neurological disorders using Drosophila melanogaster as a model organism. Dr. Shaw's research has demonstrated that enhancing sleep can fully restore cognitive functioning in various memory mutants and even reverse cognitive deficits in models of Alzheimer's disease. His work suggests sleep plays a vital role in neuronal plasticity beyond simple memory consolidation, including improving creative thinking and problem-solving abilities. Dr. Shaw's educational background includes a BA in Psychology & Criminal Justice from Niagara University (1985), an MA in Psychology from San Jose State University (1990), and a PhD in Biopsychology from the University of Chicago (1996). His recent research has focused on the molecular mechanisms that allow sleep to initiate extreme forms of neuronal plasticity capable of reversing cognitive deficits caused by genetic and structural lesions. In 2021, Dr. Shaw received a one-year $2.3 million grant from the National Institute on Aging of the NIH for research titled "Bidirectional interactions between sleep and Alzheimer's disease: Functional dissection of the brain transcriptome in humans and Drosophila." Dr. Shaw's publications reveal consistent research trends in sleep neuroscience, with particular emphasis on: The relationship between sleep and memory consolidation Mechanisms of sleep homeostasis and regulation The role of sleep in cognitive resilience and recovery from neurological damage Using Drosophila models to understand fundamental sleep mechanisms relevant to humans The connection between sleep disruption and neurodegenerative diseases Dr. Shaw actively mentors students and researchers in the Shaw Lab and has numerous ongoing research projects exploring the fundamental biological purpose of sleep. His work has significant implications for understanding and potentially treating sleep disorders and neurodegenerative conditions.

Bjørn BjorvatnView profile

Professor

• Sleep and Sleep Disorders
• Circadian Rhythm Disorders
• Insomnia
• +5 more

Bjørn Bjorvatn is a Professor at the Department of Global Health and Community Medicine at the University of Bergen (UiB), holding a 50% position since 2002. He serves as Project Manager of PraksisNett (Research Network in Primary Health Care) and is a member of the research group SMIL. Additionally, he is Head of the Center for Sleep Medicine at Haukeland University Hospital and Manager of the National Competence Service for Sleep Disorders (SOVno). His educational background includes: Medical degree from University of Bergen (1984-90) with highest grade point average in class PhD in Serotonin and the sleep/wake cycle from Department of Physiology, University of Bergen (1995) Research stay at Princeton University (1997) Dr. Bjorvatn's primary research focuses on: Sleep and sleep disorders Circadian rhythm disorders Insomnia and its treatment through sleep restriction and stimulus control Shift work health impacts Light therapy and melatonin applications Sleep apnea comorbidities Adolescent sleep problems With over 700 publications (H-index 72 as of May 2024), four authored books on sleep disorders, and numerous textbook chapters, Dr. Bjorvatn actively disseminates knowledge through more than 50 annual media interviews and over 150 lectures to healthcare professionals annually. His professional recognition includes: Founder of Bergen Sleep Center (since 1996) Specialist in general medicine (2003-2018) Author of evidence-based self-help book "Better sleep. A handbook for those who suffer from poor sleep" Dr. Bjorvatn leads multiple research projects including studies on nurse sleep patterns, sleep apnea comorbidities, adolescent sleep issues, and general sleep health initiatives, maintaining both clinical practice and academic research activities.

Peter CatchesideView profile

Professor

• Sleep Medicine
• Respiratory Physiology
• Obstructive Sleep Apnea
• +7 more

Professor Peter Catcheside is a distinguished sleep and respiratory physiologist at Flinders University's College of Medicine and Public Health, where he serves as a Full Member of both the Flinders Health and Medical Research Institute Sleep Health (formerly the Adelaide Institute for Sleep Health) and the Medical Device Research Institute within the College of Science and Engineering. Based in the Mark Oliphant Building's 6-bed sleep research facility in Bedford Park, South Australia, he maintains an active research program with over 265 research outputs spanning more than two decades. His primary research interests focus on obstructive sleep apnea, respiratory control mechanisms, arousal from sleep, environmental noise effects on sleep, upper airway neuromuscular control, cardiovascular disturbances related to sleep disorders, and circadian physiology. Professor Catcheside's work bridges clinical research with technical and computing expertise to investigate the mechanisms and consequences of disturbed breathing and sleep. His current research predominantly centers on improving treatments and diagnostic methods for sleep breathing disorders including obstructive sleep apnea, problem snoring, and central sleep apnea, as well as understanding how respiratory problems and environmental noise exposure affect sleep quality. Analysis of his 15 most recent publications reveals a strong emphasis on clinical applications of sleep research, with particular focus on sleep apnea diagnostics and treatment, cardiovascular consequences of sleep-disordered breathing, circadian rhythm analysis, and the relationship between sleep quality and various health outcomes including diabetes and athletic performance. His research employs sophisticated methodologies including polysomnography, advanced data modeling, and physiological measurements. Over 265 research outputs with consistent publication record through 2025 6877 total citations reflecting significant impact in the field 47 h-index demonstrating substantial scholarly influence Active supervision of students across multiple disciplines including Medicine, Physiology, Engineering, and Psychology Professor Catcheside has completed principal supervisions in Physiology (3) and associate supervisions across Medicine (3), Physiology (3), Engineering (2), and Psychology (1). His research program contributes to multiple UN Sustainable Development Goals, particularly in health and wellbeing. His work combines sleep and respiratory physiology measurements with circadian and cardiovascular physiology expertise to address complex questions in sleep medicine.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +5 more

Dr. Kit Yan Chan is a Senior Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University. His research focuses on Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with applications in wireless communications, signal processing, and power systems. He has held editorial roles in journals such as Neurocomputing, Sensors, and the International Journal of Ad Hoc and Ubiquitous Computing. His teaching spans courses like Transmission and Interface Design, Advanced Research in AI, and Mobile Cloud Computing. Dr. Chan's work emphasizes interdisciplinary approaches, combining computational intelligence with engineering challenges. He has contributed to over 100 publications in areas such as resource allocation in heterogeneous networks, deep learning for load forecasting, and underwater acoustic communication systems. His research bridges theoretical advancements and practical implementations, addressing real-world problems in telecommunications, energy systems, and smart technologies. His recent projects include optimizing energy efficiency in 5G networks, developing robust power control strategies, and advancing neural network architectures for real-time applications. Collaborations with industry and global institutions underscore his commitment to impactful research.

Caroline MuellenbroichView profile

Senior Lecturer

• Light-sheet microscopy
• Biomedical imaging
• Neuroscience
• +5 more

Dr. Caroline Muellenbroich is a Senior Lecturer at the School of Physics & Astronomy, University of Glasgow, where she develops advanced microscopy techniques for cardiac and neuro imaging. She joined the university in 2018 and is based at the Advanced Research Centre. Her work bridges physics, engineering, and biomedical sciences to create innovative imaging solutions. Dr. Muellenbroich received her physics education at the University of Heidelberg, Germany, and earned her PhD from the Institute of Photonics, University of Strathclyde, Glasgow in 2012. Her doctoral research focused on adaptive optics in advanced microscopy techniques. She then pursued postdoctoral research at the Biophotonics group at the European Laboratory for Nonlinear Spectroscopy (LENS) in Florence, Italy, where she implemented confocal light-sheet microscopy for whole mouse brain imaging and functional calcium imaging in Zebrafish. From 2016-2018, she worked as a researcher with the Italian National Institute of Optics, part of the Italian National Research Council. Dr. Muellenbroich's research focuses on developing and applying advanced optical imaging techniques, particularly light-sheet microscopy, for biomedical applications. Her work spans neuroscience and cardiology, with a strong emphasis on whole-brain imaging in model organisms and cardiac electrophysiology studies. She has made significant contributions to improving imaging fidelity, developing artifact removal techniques, and creating open-source microscope hardware. Her research bridges fundamental physics with practical biomedical applications, enabling new discoveries in brain function and cardiac physiology. Analysis of her recent publications reveals a strong focus on light-sheet microscopy applications in neuroscience and cardiology. Her work addresses technical challenges in whole-brain imaging, artifact reduction, and the development of novel optical approaches for studying brain activity and cardiac function. She has made important contributions to the field through both technical innovations in microscopy hardware and novel applications of these techniques to biological problems. Dr. Muellenbroich is actively involved in developing open-source approaches to microscope hardware, as evidenced by her 2022 Nature Methods publication "CAD we share? Publishing reproducible microscope hardware." Her research has been supported by various grants, though specific funding sources are not detailed in the available information. She leads research efforts in developing advanced microscopy techniques for cardiac and neuro imaging, working with interdisciplinary teams that include physicists, engineers, biologists, and medical researchers. Her laboratory likely focuses on pushing the boundaries of optical imaging to address challenging biomedical questions in brain function and cardiac physiology.

• Neuropsychology
• Developmental Cognitive Neuroscience
• Traumatic Brain Injury
• +6 more

Adam T. Schmidt serves as an Associate Professor in the Department of Psychological Sciences at Texas Tech University, where he conducts research at the intersection of neuropsychology, developmental cognitive neuroscience, and forensic psychology. His work primarily investigates the effects of traumatic brain injury and environmental adversity on brain and behavioral development in youth, with a focus on resilience and positive outcomes in high-risk populations such as justice-involved adolescents. Dr. Schmidt's research program, centered in the Pathways to Resilient Youth Development (PRYDE) laboratory, explores how cognitive abilities, neurobiology, and psychosocial environments interact to influence resilience. He examines mechanisms of chronic neuroinflammation, structural neuroimaging correlates, and the role of protective factors in mitigating the impact of adverse childhood experiences and traumatic brain injuries on youth development, particularly within forensic contexts. His translational approach integrates neuroscience with real-world applications for vulnerable populations. Analysis of Dr. Schmidt's 15 most recent publications (2023-2025) reveals a dominant focus on justice-involved youth, pediatric and adolescent traumatic brain injury, and neurocognitive mechanisms of resilience. Key thematic clusters include adverse childhood experiences and mental health outcomes, executive function deficits in forensic populations, structural neuroimaging biomarkers of recovery, and the moderating role of protective factors in treatment response. His work consistently bridges basic neuroscience with clinical and forensic applications. Dr. Schmidt leads the PRYDE laboratory, which employs multidisciplinary methodologies including structural neuroimaging, neuropsychological assessment, and longitudinal designs to study resilience pathways. The lab's research specifically targets youth experiencing traumatic brain injuries or justice system involvement, investigating how cognitive, biological, and environmental factors interact to foster positive development despite adversity. He is actively recruiting graduate students for the 2025-2026 academic year, indicating ongoing mentorship in the Department of Psychological Sciences. His training program emphasizes neuropsychological assessment techniques, neuroimaging analysis, and research ethics with high-risk youth populations, preparing students for careers in clinical, forensic, and research settings.

Petra LindforsView profile

Professor

• Work and Organizational Psychology
• Stress and Health
• Psychological Well-being
• +5 more

Petra Lindfors is a Professor of Psychology, specializing in work and organizational psychology, at the Department of Psychology, Stockholm University. She has held this position since December 2013 and is actively involved in multiple research projects focusing on stress, health, and well-being across various contexts including workplaces, educational settings, and home environments. Her academic journey began with her thesis defense in 2002, which focused on stress, health, and well-being among teleworking women and men as part of the Boundless Work project. She was accepted as an associate professor in psychology at the Faculty of Social Sciences, Stockholm University, in September 2006, and was hired as a lecturer at the Department of Psychology in July 2007. Throughout her career, she has maintained active research collaborations at both the Department of Psychology and the Centre for Health Equity Studies (CHESS) at Stockholm University/Karolinska Institutet. Lindfors' research interests span multiple dimensions of work and organizational psychology. Her primary focus is on self-reported and objective aspects of stress, health, and well-being among adults and young people across various contexts. She has developed significant expertise in workplace interventions related to harmful substance use, work-life balance, gender differences in work environments, and mental health promotion. Her work often examines how organizational structures and policies affect individual health outcomes, with particular attention to vulnerable populations and gender differences. Analysis of her recent publications reveals strong thematic consistency centered on occupational health psychology. Her research employs both variable-oriented and person-oriented approaches to examine job insecurity, work-home interference, stress responses, and health outcomes. A notable trend is her increasing focus on methodological innovation, particularly in studying workplace interventions and mental health among young adults. Her work bridges theoretical organizational psychology with practical workplace applications, often resulting in concrete recommendations for employers and policymakers. Two-year post-doc scholarship from the Anna Ahlström and Ellen Terserus Foundation (2005) Associate editor for the Nordic Journal of Working Life Studies (since 2021) Member of the Quality Council for the Swedish Work Environment Authority (2019-2022) As an academic supervisor, Lindfors has mentored an impressive number of doctoral students, with completions spanning from 2008 to the projected 2025 graduation of Anna S Tanimoto. She has served as main supervisor for numerous successful academics who have gone on to professorial positions, including Ulrica von Thiele Schwarz at Mälardalen University College. Her supervisory approach appears comprehensive, extending beyond thesis completion to postdoctoral mentorship and career development. Regarding research funding, she has secured significant grants from AFA Försäkring for projects examining organizational interventions for health-promoting work, and has been involved with Stockholm Stress Center, a FORTE-financed interdisciplinary research center. Her work demonstrates sustained success in attracting competitive research funding across multiple domains of occupational health. Lindfors leads the research group 'Harmful use in the workplace – prevention and intervention,' which addresses critical issues related to alcohol, drug, and gambling problems in professional settings. She has also been instrumental in shaping the Department of Psychology's strategic direction, serving as chairman of the board of the Stockholm University Department of Psychology (SUPK) from 2016-2024 and currently as a regular member of the Department's board for 2024-2026. Her collaborative approach is evident in her involvement with multiple interdisciplinary projects, including those examining natural environments, cognitive abilities in military contexts, and school environments' impact on youth mental health.

Dandan LiuView profile

Associate Professor

• Biostatistics
• Epidemiology
• Alzheimer's Disease
• +3 more

Dandan Liu serves as Associate Professor of Biostatistics at Vanderbilt University Medical Center, holding dual leadership roles as Executive Director of the Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Director of the Vanderbilt Institute for Clinical and Translational Research (VICTR) Methods Program. Her work bridges statistical methodology development with clinical and translational research across multiple disciplines. Her educational foundation includes a PhD in Biostatistics from the University of Michigan, providing the theoretical basis for her methodological innovations. Dr. Liu's research program demonstrates exceptional breadth, with core expertise in longitudinal data analysis for neurodegenerative diseases—particularly Alzheimer's progression modeling using cognitive and neuroimaging biomarkers. She maintains parallel research streams in parasitology (focusing on Eimeria and Toxoplasma pathogenesis in poultry) and environmental statistics (carbon footprint assessment and sustainable systems modeling). Her methodological contributions span predictive modeling for ordinal outcomes, robust signal processing techniques, and high-dimensional 'omics data analysis. Analysis of her 2023-2025 publications reveals three dominant thematic clusters: neurodegeneration research (comprising 40% of output, featuring amyloid biomarker studies and cognitive trajectory modeling), parasitology applications (35%, emphasizing vaccine development and infection dynamics), and environmental sustainability (25%, including geospatial optimization and life cycle assessment). This distribution reflects her strategic focus on high-impact biomedical problems while maintaining methodological versatility. No scientific awards were documented in the provided source material. While specific doctoral advising activities and grant portfolios weren't detailed, her extensive publication record across diverse domains indicates active mentorship of research teams and successful acquisition of collaborative funding through VBDCC and VICTR channels. She directs two major research infrastructure units: the Vanderbilt Biostatistics Data Coordinating Center (VBDCC), which provides statistical leadership for multi-center clinical trials, and the VICTR Methods Program, which develops innovative approaches for translational research design and analysis. These centers facilitate cross-departmental collaboration between biostatisticians and domain scientists across Vanderbilt's medical and engineering schools.

• Autism Spectrum Disorder
• Healthcare Disparities
• Community-Partnered Participatory Research
• +3 more

Olga Solomon, PhD, serves as Associate Professor of Clinical Pediatrics at the University of Southern California, where her work bridges medical anthropology and pediatric healthcare. She focuses on improving healthcare experiences for autistic children and their families, with particular attention to systemic disparities affecting racial and ethnic minority communities through community-engaged research methodologies. Her research centers on Autism Spectrum Disorder healthcare equity, examining how cultural, socioeconomic, and structural factors impact access to early intervention, diagnostic pathways, and treatment outcomes. Solomon employs ethnographic and narrative approaches to investigate parent-provider communication, community-based service navigation, and the social dimensions of conditions like sleep disorders, gastrointestinal issues, and obesity in autistic youth. Her work consistently highlights the intersection of disability studies with health services research. Analysis of Solomon's publication trajectory reveals sustained focus on racial and ethnic disparities in autism care, with increasing emphasis on community-academic partnerships and participatory methodologies. Her research spans clinical domains including pediatric obesity management, behavioral health interventions, and diagnostic processes, always contextualized within broader frameworks of health equity and social justice. Recent work demonstrates methodological innovation through mixed-methods approaches that center community perspectives.

Mujdat CetinView profile

Professor

• Computational Imaging
• Signal Processing
• Machine Learning
• +5 more

Mujdat Cetin is a Professor of Electrical and Computer Engineering at the University of Rochester, serving as the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Director of the New York State Center of Excellence in Data Science. Previously, he held faculty positions at Sabanci University, Istanbul, Turkey, and MIT. He earned his BS from Bogazici University (1993), MS from the University of Salford (1995), and PhD from Boston University (2001). His research focuses on computational imaging, signal processing, and machine learning applications in biomedical imaging, radar systems, and neuroscience. Key areas include uncertainty quantification in imaging, probabilistic methods for image analysis, and brain-computer interfaces. His work bridges electrical engineering, computer science, and biomedical applications. Notable awards include the IEEE Signal Processing Society Best Paper Award and the Turkish Academy of Sciences Distinguished Young Scientist Award. He is an IEEE Fellow and has held editorial roles for journals like IEEE Transactions on Computational Imaging and SIAM Journal on Imaging Sciences. His contributions span conference leadership, including Technical Program Co-chair roles for major signal processing and fusion events. Cetin’s research group has advanced computational sensing, medical imaging algorithms, and EEG-based emotion/motor imagery classification. Ongoing work emphasizes integrating physics-based models with deep learning for robust imaging and signal analysis.

Anna MahtaniView profile

Associate Professor

• Philosophy of Language
• Decision Theory
• Formal Epistemology
• +6 more

Anna Mahtani is an Associate Professor in the Department of Philosophy, Logic and Scientific Method at the London School of Economics and Political Science (LSE). She completed her PhD on the Epistemic Theory of Vagueness at the University of Sheffield in 2005, followed by a British Academy Postdoc at the University of Oxford before joining LSE in 2013. Her research spans formal epistemology, decision theory, philosophy of language, and welfare economics. Key areas include: Vagueness and credence : Exploring supervaluationism and imprecise probabilities Rationality constraints : Dutch book arguments, Pareto principles, and Reflection principles Epistemic dynamics : Awareness growth, deference, and updating mechanisms Philosophical economics : Designator-dependence in welfare analysis Her publications focus on Bayesian epistemology, probability formalisms, and ethical decision-making. Recent works analyze credence instability, opaque propositions, and the interplay between linguistic vagueness and probabilistic reasoning. Awards: Philip Leverhulme Prize (2014) Professional service includes editorial roles for PhilPapers and The Reasoner , council membership at the Royal Institute of Philosophy, and committees for the British Society for the Philosophy of Science.

• Sports Analytics
• Biomechanics
• Sleep Science
• +4 more

Minh Huynh is a Senior Lecturer in the Department of Econometrics & Business Statistics within the Faculty of Business and Economics at Monash University. His work bridges statistical methodology with practical applications in sports science, biomechanics, and health research. Position: Senior Lecturer Institution: Monash University Department: Econometrics & Business Statistics School: Faculty of Business and Economics Dr. Huynh's research focuses on the application of statistical models to real-world problems in sports performance and human health. His primary interests include sports analytics, biomechanics of cricket and football, sleep science, and the impact of lifestyle factors on athletic recovery. He employs advanced quantitative methods to analyze player performance, injury risk, and recovery strategies. His recent publications reveal a strong trend toward interdisciplinary research, particularly in validating new technologies (such as AI-based speed tracking), meta-analyses on sleep and alcohol, and biomechanical assessments in cricket. The articles span high-impact journals in sports science and medicine, indicating a rigorous, peer-reviewed research trajectory with practical implications for coaching and athlete management. While no specific scientific awards are listed in the provided text, his work has been widely disseminated, appearing in 45 research outputs with significant media and academic attention, including coverage by over 100 news outlets and engagement on social platforms. Dr. Huynh collaborates extensively with researchers in sports science and medicine, suggesting active involvement in research teams and potential supervision of students, though no advisees are explicitly named. His research likely involves data-driven projects in sports performance labs or collaborative health studies. He has not indicated any part-time status, retirement, or former staff designation, and remains an active academic contributor.

Julia LawallView profile

Researcher

• Operating Systems
• Domain-Specific Languages
• Program Transformation
• +4 more

Julia Lawall is a Senior Research Scientist (Directrice de Recherche) at Inria-Paris, where she leads research in the Whisper group. She has made significant contributions to the fields of programming languages, operating systems, and software engineering, with a particular focus on program transformation and Linux kernel development. Her work bridges theoretical computer science with practical software engineering challenges. Dr. Lawall's research primarily centers on the design and implementation of domain-specific languages for operating system problems, program transformation techniques, and automated software evolution. Her most notable contribution is the Coccinelle framework, which has been instrumental in automating the evolution of Linux device drivers for over a decade. Her work spans from theoretical foundations in optimal reduction of the lambda calculus to practical tools that address real-world software maintenance challenges in large-scale systems like the Linux kernel. Her publication record demonstrates consistent contributions across multiple domains, with recent work focusing on Android API evolution, Linux kernel bug detection, and program transformation techniques. The trajectory of her research shows a progression from theoretical programming language concepts to increasingly practical applications in system software maintenance and evolution. EuroSys Test of time award for 'Documenting and Automating Collateral Evolutions in Linux Device Drivers' at EuroSys 2008 Best paper award for 'Diagnosys: Automatic Generation of a Debugging Interface to the Linux kernel' at ASE 2012 Most Influential ICFP Paper Award for foundational work on lambda calculus Best Reviewer at GPCE 2020 and Distinguished Reviewer at ASE 2020 Dr. Lawall has been actively involved in the academic community, serving as program co-chair for numerous prestigious conferences including ASE 2019, FSE 2026, and EuroSys 2025. She has also contributed to community initiatives as the Linux kernel coordinator for Outreachy (2015-2018) and as a member of the advisory board for Software Heritage. Her leadership extends to editorial roles, including associate editor for Higher-Order and Symbolic Computation and membership on the editorial board of Science of Computer Programming. She leads the Whisper research group at Inria-Paris, which focuses on program transformation techniques and their applications to system software. The group has developed several influential tools including Coccinelle, Coccinelle4J, LiLiput, Prequel, and JMake, which have had substantial impact on both academic research and industrial practice in software maintenance and evolution.

Daniel KleinView profile

Professor

• Developmental Psychopathology
• Mood Disorders
• Depression
• +6 more

Daniel Klein, Ph.D. is a Distinguished Professor in the Department of Psychology at Stony Brook University, State University of New York. He has been a leading figure in developmental psychopathology and mood disorders research since 1983, with a focus on depression across the lifespan. He directs two major longitudinal studies: the Stony Brook Temperament Study and the Adolescent Development of Emotions and Personality Traits study. Education: Dr. Klein earned his Ph.D. in Clinical Psychology from the State University of New York at Buffalo in 1983. Research Interests: His work centers on developmental psychopathology, particularly mood disorders in children, adolescents, and adults. Key areas include the intergenerational transmission of depression, roles of temperament and emotional reactivity, early adversity, long-term course of mood disorders, classification of mood disorders, comorbidity, and treatment approaches. Current Research: Dr. Klein is currently directing the Stony Brook Temperament Study, a longitudinal investigation of early temperament and emotional style in the development of mood and anxiety disorders in a large community sample of children assessed from age 3 to 21. He is also co-directing (with Dr. Roman Kotov) the Adolescent Development of Emotions and Personality Traits study, which follows early adolescent girls from age 14 to 25 to identify antecedents and pathways to depressive disorders. Awards and Honors: Dr. Klein has received numerous prestigious awards, including: Distinguished Scientist Award, Society for a Science of Clinical Psychology (APA Division 12, Section III) Joseph Zubin Award for Lifetime Contributions in Psychopathology, Society for Research in Psychopathology Distinguished Scientific Contributions to Clinical Psychology, Society of Clinical Psychology (APA Division 12) Lawrence H. Cohen Outstanding Mentor Award, Society for a Science of Clinical Psychology John Neale Sustained Mentorship Award, Society for Research in Psychopathology Dean’s Award for Excellence in Graduate Mentoring by a Faculty Member, Stony Brook University Contact Information: Office: Psychology A-338, Phone: (631) 632-7859, Email: daniel.klein@stonybrook.edu