جست‌وجوی استاد و پژوهشگر

• Rehabilitation Robotics
• Exoskeleton Design
• Stroke Rehabilitation
• +۴ مورد دیگر

Andrea Blanco Ivorra serves as Assistant Professor in the Department of Materials Science, Optics and Electronic Technology at Miguel Hernández University of Elche, where she teaches Strength of Materials across Electrical, Electronic, and Mechanical Engineering programs. She holds the position of Chair Secretary for the Chair of Advanced Technologies for Rehabilitation, focusing on developing innovative rehabilitation technologies. Her research centers on rehabilitation robotics and neuroengineering, with emphasis on exoskeleton design for upper limb motor rehabilitation, stroke recovery, and assistive technologies for aging populations. She integrates EEG monitoring, biomechanical analysis, and machine learning to create intelligent systems that enable longitudinal assessment and adaptive therapy protocols. Her work bridges clinical rehabilitation with engineering innovation to improve motor function outcomes. Recent publications reveal a cohesive research trajectory in developing and validating robotic rehabilitation systems, with particular focus on home-based solutions, brain-computer interfaces, and personalized therapy adaptation. Her 2024-2025 output demonstrates strong interdisciplinary collaboration across neuroscience, mechanical engineering, and gerontechnology, with consistent emphasis on practical clinical implementation and user-centered design. Dr. Blanco Ivorra's affiliation with the Chair of Advanced Technologies for Rehabilitation drives her work in translating engineering innovations into real-world rehabilitation applications, particularly through the ROAD tele-rehabilitation platform and bimanual exoskeleton systems for daily living assistance.

Angus Leahyمشاهده پروفایل

مدرس

• Physical Activity Promotion
• High-Intensity Interval Training (HIIT)
• Adolescent Cognition
• +۷ مورد دیگر

Dr. Angus Leahy is a Lecturer at the School of Education , University of Newcastle, specializing in school-based physical activity interventions. His research focuses on implementing High-Intensity Interval Training (HIIT) programs like Burn 2 Learn to improve physiological, psychological, and cognitive health in senior school students, with recent adaptations for adolescents living with disability. PhD in Education (2021), University of Newcastle Bachelor of Teaching (Health & Physical Education) Honours (2016) His research integrates exercise science, cognitive development, and inclusive education , with articles analyzing HIIT's effects on executive functions, stress reactivity, and brain metabolism . Current projects examine movement behavior optimization for obesity management and motivational design in physical education. Scientific recognitions include: 2024 Best Early Career Researcher Presentation (Asia-Pacific Society for Physical Activity) 2023 College of Human and Social Futures Excellence Awards 2022 Best Higher Degree Research Thesis Multiple HDR publication awards As a course coordinator for PE Studies and Lifetime Physical Activities , he translates research into curriculum development while collaborating with organizations like the NSW Department of Education and Central Coast Mariners for community health initiatives.

• Otorhinolaryngology
• Voice Disorders
• Laryngeal Surgery
• +۳ مورد دیگر

Ågot Møller Grøntved serves as an External Lecturer at the Department of Clinical Research, University of Southern Denmark, with primary affiliation at the Research unit of Oto Rhino Laryngology (Odense) within Odense University Hospital (OUH). His clinical-academic role bridges otolaryngology practice and research, focusing on voice disorders and surgical outcomes. Dr. Grøntved's research centers on voice assessment methodologies, laryngeal neoplasia diagnostics, and surgical rehabilitation. He specializes in psychometric validation of clinical tools like the Voice Range Profile and Voice Handicap Index, with emphasis on cross-cultural adaptation and reliability testing. His work investigates vocal function recovery post-transoral laser microsurgery and develops standardized protocols for voice disorder management. Recent publications (2021-2024) reveal consistent expertise in voice science and laryngeal oncology. Key trends include validation of assessment instruments across Scandinavian populations, analysis of vocal outcomes after cordectomy, and methodological refinements in interrater reliability studies. His research demonstrates strong clinical translation, directly informing surgical decision-making and rehabilitation protocols for laryngeal lesions. Dr. Grøntved actively supervises doctoral candidates, serving as primary supervisor for Trine Printz's PhD project on Voice Range Profile standardization and co-supervisor for Christian Mehlum's research on glottic neoplasia diagnostics. His mentorship extends to conference presentations and peer-reviewed publications, with students frequently co-authoring in journals like Journal of Voice and European Archives of Oto-Rhino-Laryngology . Based at Odense University Hospital's Oto Rhino Laryngology Research Unit, he collaborates within a multidisciplinary team including surgeons, speech-language pathologists, and audiologists. His current work focuses on digital healthcare implementation for voice disorders, contributing to national initiatives on tele-audiology and remote patient monitoring as evidenced by recent press engagements with Danish health authorities.

• Motivation
• Identity
• Personality Development
• +۸ مورد دیگر

Vinicius Coscioni is a Brazilian academic currently serving as an Assistant Professor in the Department of Developmental Psychology within the Faculty of Social and Behavioural Sciences at Utrecht University. His research is primarily affiliated with the Dynamics of Youth (DoY) research theme, specifically contributing to three key initiatives: Becoming Adults in a Changing World, Thriving & Healthy Youth, and Youth Education & Life Skills. Dr. Coscioni's primary research interests focus on motivation, identity, personality development, life course and career issues, psychometrics, adolescent development, human rights, and vulnerable groups. He has developed the Comprehensive Theory of Life Projects, which defines a life project as 'an ongoing, evolving process to form, enact, and maintain intentional structures and actions that, altogether, comprise a long-term, meaningful, and prospective narrative capable of guiding decisions and behavior in daily life.' This integrative framework draws from diverse theoretical backgrounds and has been adapted for application in more than 15 countries. His recent publication record shows significant productivity, with numerous articles published in 2023-2025 focusing on life projects, future time orientation, career development, and adolescent development, particularly with vulnerable populations. He has developed psychometric instruments including the Life Project Scale and Future Time Orientation Scale, demonstrating his commitment to both theoretical advancement and practical application. Authenticity Scale validation for Brazilian and Portuguese contexts Employability and career beliefs inventory for unemployed persons Cross-cultural adaptations of life project measures Dr. Coscioni maintains strong international connections, collaborating with researchers primarily from Brazil and Portugal. His work emphasizes practical applications of psychological theory, particularly in career counseling and education for socially vulnerable populations, reflecting his commitment to translating academic research into real-world interventions that support adolescent development and life trajectory planning.

• Writing Skills
• Didactics of Academic Writing
• Language Learning and Teaching
• +۵ مورد دیگر

Renske Bouwer is an Associate Professor of Language & Education at Utrecht University, working within the Department of Languages, Literature and Communication in the Humanities faculty. She is affiliated with the Institute for Language Sciences and specializes in language and education research. Her work bridges educational sciences, psychology, and linguistics to investigate writing development across educational levels. Dr. Bouwer's research focuses on the development of writing skills from primary education through higher education, using diverse methodologies including eye tracking, keystroke logging, comparative judgment, interviews, observations, and text analyses. She investigates cognitive, affective, and social processes involved in writing, as well as valid and reliable assessment of writing skills and effective feedback mechanisms. Her research aligns with the Dynamics of Youth (DoY) and Higher Education Research themes at Utrecht University. Analysis of her recent publications reveals a strong focus on dialogic writing approaches, comparative judgment methodologies for writing assessment, and evidence-based writing instruction. Her work consistently examines how peer feedback conversations can promote meaningful revisions, with particular attention to primary and upper elementary education contexts. She has developed innovative assessment tools that combine traditional benchmark rating with comparative judgment approaches to improve reliability and validity in writing evaluation. Comenius Teaching Fellow grant (2020) for developing an online platform for academic writing Successful spin-offs including Tekster (a writing program for upper-elementary grades) and Comproved (an online tool for comparative judgment) Dr. Bouwer serves as co-promotor for five PhD candidates researching automatic and comparative text assessment, comparative peer feedback in secondary education, academic writing development, and genre didactics across the curriculum. She leads an interfaculty USO educational innovation project promoting the academic reading-writing nexus and an NRO-funded project on dialogic writing in primary education. Her work translates scientific insights into evidence-informed teaching materials through collaborations with practitioners, exemplified by her online platforms www.academischschrijven.nl and www.dialogischschrijven.nl.

Yifei Louمشاهده پروفایل

دانشیار

• Compressive sensing
• Image analysis
• Numerical analysis
• +۵ مورد دیگر

Yifei Lou is an Associate Professor jointly appointed in the Department of Mathematics and the School of Data Science and Society at the University of North Carolina at Chapel Hill . From 2014 to 2023 she served on the faculty of the University of Texas at Dallas, rising from Assistant to Associate Professor. Education: B.S., Peking University, 2005 Ph.D., Applied Mathematics, University of California, Los Angeles, 2010 (co-supervised by Prof. Andrea Bertozzi and Prof. Stefano Soatto) Postdoctoral Fellow, Georgia Institute of Technology, 2011–2012 (supervised by Prof. Allen R. Tannenbaum) Postdoctoral Fellow, University of California, Irvine, 2012–2014 (with Prof. Jack Xin and Prof. Hongkai Zhao) Research Interests: Dr. Lou’s work sits at the intersection of computational mathematics and data science . She develops efficient numerical tools to recover signals or images from limited measurements , exploiting sparsity, low-rankness, and tensor structures. Applications range from phase retrieval and hyperspectral imaging to seismic data completion and medical imaging . Core themes include compressive sensing , numerical optimization , and large-scale inverse problems . Recent Publication Trends: Her 2023–2025 corpus reveals a rapid pivot toward network-geometric approaches for pan-cancer genomics , neuroimaging , and immunotherapy response prediction . Papers leverage optimal mass transport , Ricci curvature , and multi-omics integration , translating sophisticated mathematical machinery into clinically actionable insights for breast cancer, melanoma, Alzheimer’s disease, and sarcoma. Scientific Awards: NSF CAREER Award (DMS-1846690), 2019–2024, “Mathematical Modeling from Data to Insights and Beyond” Grants & Workshops: NSF Workshop Grant (DMS-1821870), “Recent Developments on Mathematical/Statistical Approaches in Data Science,” May 31 – June 2, 2019 Laboratories & Collaborations: While no dedicated laboratory page is provided, Dr. Lou collaborates extensively across UNC Mathematics , the School of Data Science and Society , and interdisciplinary teams in medical imaging, oncology, and neuroscience.

Ushenko Yuriy Oleksandrovychمشاهده پروفایل

استاد

• Information systems design
• Data mining
• Pattern recognition
• +۷ مورد دیگر

Yuriy Ushenko is Professor and Head of the Department of Computer Science at Chernivtsi National University named after Yuriy Fedkovych. An Academician of the Academy of Engineering Sciences of Ukraine (2021), he holds a Doctor of Physical and Mathematical Sciences degree with specialization in optics and laser physics. His interdisciplinary work bridges computer science, biomedical engineering, and optical diagnostics. His educational background includes: Master of Telecommunications from Chernivtsi National University (2003, Diploma with honors) Doctor of Physical and Mathematical Sciences (2015) in specialty 01.04.05 – Optics, Laser Physics Professor title in Computer Science (2017) Professor Ushenko's research focuses on information systems design , data mining , pattern recognition , and digital image processing with specialization in laser polarimetry and interferometry . His work pioneers Mueller-matrix tomography and polarization-correlation microscopy for biomedical applications, developing computational methods to analyze biological tissues and fluids for diagnostic purposes. Key innovations include 3D digital polarization-holographic histology for myocardial damage assessment and intelligent systems for disease identification from medical images. His publication trends reveal a strong emphasis on applying machine learning to biomedical imaging and geospatial analysis, with recent work spanning transformer-based lyrics generation, polarization-singular tissue processing, and migration forecasting systems. The research demonstrates consistent translation of theoretical optics into practical diagnostic tools. Scientific recognition includes: Academician of the Academy of Engineering Sciences of Ukraine (2021) As Director of the Bukovinian Innovation Technologies Cluster (since 2019), he leads regional IT initiatives while serving as Associate Editor for the SCOPUS Q3 journal International Journal of Image, Graphics and Signal Processing . His mentorship has guided students to international awards including ICYS silver medals and EUCYS special prizes. Current projects involve developing automated intelligent systems for LLC 'KM Trade' and advancing Mueller-matrix diagnostic techniques through international collaborations with Springer and SPIE conferences. His laboratory work centers on creating computational frameworks for polarization-correlation microscopy, with active teams developing laser autofluorescence polarimetry techniques and digital image processing pipelines for biomedical diagnostics. The research group maintains strong ties with international partners in optical engineering and medical diagnostics.

Leonard Ng Wei Tatمشاهده پروفایل

استادیار

• Additive and Advanced Manufacturing
• Nanomaterials and Nanotechnology
• Smart Cities
• +۴ مورد دیگر

Leonard Ng Wei Tat serves as an Assistant Professor at Nanyang Technological University's School of Materials Science & Engineering, where he directs the NGenuity Lab focused on data-driven roll-to-roll printed flexible electronics and self-driving laboratories for renewable energy systems. His work bridges advanced manufacturing, nanomaterials, and artificial intelligence to develop sustainable energy solutions. Ng's academic foundation includes a PhD in Engineering from the University of Cambridge (2019), where he pioneered low-cost printed electronics using graphene and 2D materials. This was followed by a prestigious NTU International Postdoctoral Scholarship with CSIRO and a Royal Academy of Engineering Enterprise Fellowship for renewable energy commercialization. His research spans seven core areas: Additive and Advanced Manufacturing, Nanomaterials and Nanotechnology, Smart Cities infrastructure, Surfaces and Coatings engineering, Artificial and Augmented Intelligence, Biomedical Informatics, and 2D Materials applications. Current projects emphasize machine-learning enabled inverse design for high-throughput manufacturing of photovoltaics, with particular focus on stability enhancement and efficiency optimization of printed solar cells. Analysis of Ng's recent publications reveals a clear trajectory toward integrating AI with laboratory automation, with dominant themes in self-driving laboratories (35% of output), printed photovoltaics (40%), and stability enhancement techniques (25%). His work demonstrates exceptional translational impact, with multiple industry features including PV Magazine coverage of his perovskite solar cell breakthroughs. Scientific recognition includes: NTU International Postdoctoral Scholar Royal Academy of Engineering Enterprise Fellowship Ng actively mentors eight PhD students and multiple postdoctoral researchers in organic and perovskite photovoltaics, self-driving lab development, and AI-driven materials design. His group secures substantial funding through competitive mechanisms including Nanyang PhD Graduate Scholarships, SINGA Scholarships, and industry partnerships, supporting both fundamental research and commercial translation efforts. The NGenuity Lab operates as a dynamic hub for innovation, featuring specialized facilities for roll-to-roll printing, photovoltaic characterization, and AI-driven experimental automation. Current initiatives focus on democratizing laboratory robotics through low-cost 3D printing and developing closed-loop optimization systems for industrial-scale renewable energy manufacturing.

• Visual Perception
• Sensorimotor Control
• Aging and Cognition
• +۳ مورد دیگر

Jutta Billino serves as Associate Professor in the Department of General Psychology at the Faculty of Psychology and Sports Science, Justus Liebig University Giessen, where she has held academic positions since 2008. Her research examines interindividual differences in visual perception and sensorimotor control across the adult lifespan, with particular focus on how sensory, motor, cognitive, and motivational processes interact in healthy aging and neurological conditions. Her academic background includes a Diploma in Psychology from Justus Liebig University Giessen and University of Utah (1992-1998), state certification as Psychological Psychotherapist (1999-2002), Clinical Neuropsychology certification (1999-2005), and PhD (Dr. rer. nat.) from JLU Giessen in 2009. Her doctoral work investigated motion processing pathways in humans under Prof. Karl Gegenfurtner. Professor Billino's research program explores visual perception and sensorimotor control through behavioral experiments with healthy adults and neurological patients. Her work reveals how aging affects visual confidence, tactile suppression during movement, and multisensory integration, demonstrating that cognitive control capacities mediate age-related differences. Current projects examine memory for unexpected objects in real-world scenes and cross-modal metacognition, highlighting preserved abilities in older adults through compensatory mechanisms. Recent publications (2018-2023) show consistent focus on aging and perception, with key contributions in visual confidence mechanisms, sensorimotor predictions, and multisensory integration. Her work spans experimental psychology, cognitive neuroscience, and clinical neuropsychology, frequently employing eye-tracking, behavioral paradigms, and patient studies to uncover lifespan trajectories in perceptual processing. Her scientific recognition includes: DFG Graduate College Fellowship (2004-2008) in 'Neuronal Representation and Action Control' As academic supervisor, she guides PhD candidates in perceptual aging research and secures third-party funding for her laboratory investigations. Her teaching integrates clinical neuropsychology with experimental methods, reflecting her dual expertise in research and clinical practice. She maintains active collaborations across European institutions, particularly in motion perception and aging research networks. Professor Billino leads a research group within the Department of General Psychology focused on visual perception across the lifespan. Her team employs behavioral testing, eye-tracking, and patient studies to investigate how sensory, motor, and cognitive processes interact during aging. Current projects examine confidence calibration in multisensory tasks and neural mechanisms underlying preserved perceptual abilities in older adults, with implications for healthy aging interventions.

Liming Zhuمشاهده پروفایل

استاد

• Software Architecture
• Distributed Systems
• DevOps
• +۶ مورد دیگر

Dr. Liming Zhu is a Conjoint Full Professor at the School of Computer Science and Engineering, University of New South Wales, and leads the Software and Computational Systems Research Program at Data61, CSIRO. This research program comprises over 200 personnel working across key technology domains including big data analytics infrastructure, computational science platforms, trustworthy systems, distributed systems, business process management, legal informatics, provenance tracking, behavior analytics, blockchains, and software engineering. His research expertise spans software architecture in enterprise and embedded systems, dependable and secure distributed systems, DevOps and continuous deployment methodologies, big data analytics infrastructure and pipelines, blockchain applications, software ecosystems, and model-driven development. His work intersects with multiple Fields of Research including Computer Software, Distributed Computing, Software Engineering, Computer System Security, and Data Security. Zhu's publication record demonstrates significant scholarly impact with 97 journal articles, 186 conference papers, 39 preprints, 7 book chapters, and 1 authored book. His research program at Data61 focuses on translating theoretical advances into practical systems that address real-world challenges in data management, system security, and software development processes. The research program has particular strength in developing infrastructure for computational sciences, including specialized applications in imaging processing and bioinformatics/life sciences. Software and Computational Systems Research Program, Data61, CSIRO (Leadership role) School of Computer Science and Engineering, University of New South Wales (Conjoint Full Professor) Dr. Zhu actively supervises PhD students at UNSW, having successfully guided 6 doctoral candidates to completion as primary supervisor. His teaching focuses on software architecture courses, connecting academic theory with industry practice. The research program he leads serves as a bridge between academic inquiry and practical application, working closely with industry partners to develop innovative solutions in data platforms, trustworthy systems, and software engineering practices.

• Musculoskeletal Radiology
• Diagnostic Radiology
• Medical Imaging
• +۳ مورد دیگر

Maryam Soltanolkotabi is an Assistant Professor in the Department of Radiology & Imaging Sciences at the University of Utah, practicing as a musculoskeletal radiologist at University of Utah Hospital. Her clinical expertise focuses on arthritis imaging, image-guided interventions, rotator cuff pathology, and upper extremity injury diagnostics. Her educational background includes: M.D. from Tehran University of Medical Sciences Diagnostic Radiology Residency at University of California, Irvine Medical Center Transitional Year Intern Residency at Grand Rapids Medical Education Partners Research Fellowship in Interventional Neuroradiology at Northwestern University Feinberg School of Medicine Musculoskeletal Imaging Fellowship at University of Utah Dr. Soltanolkotabi's research spans musculoskeletal radiology with emphasis on postoperative imaging, diagnostic performance of MRI techniques, and AI applications in medical imaging. Her work addresses critical areas including arthritis diagnostics, tendon pathology, and skeletal neoplasms through advanced modalities like PET/CT and motion-corrected MRI. She actively contributes to evidence-based radiology through systematic reviews and meta-analyses. Recent publications reveal a strong trajectory in musculoskeletal imaging with growing focus on AI reliability in diagnostic radiology. Her research consistently targets clinical translation, covering wrist/ankle pathology, hip osteonecrosis screening, and additive-manufactured orthopedic components, demonstrating both technical innovation and practical clinical relevance. Scientific awards were not documented in the source material. No information regarding academic advising or research grants was provided in the available documentation. Dr. Soltanolkotabi maintains active clinical and research engagement within the University of Utah's musculoskeletal radiology division, contributing to both patient care protocols and imaging methodology advancements.

Carl F. Pieperمشاهده پروفایل

استاد

• Biostatistics
• Experimental design in medical studies
• Longitudinal data analysis
• +۴ مورد دیگر

Carl F. Pieper is Professor of Biostatistics & Bioinformatics in the Division of Biostatistics at Duke University , with a primary appointment at 1513 Busse Building, Durham, NC 27710. A Columbia-trained DrPH (1990), he has steadily advanced from Assistant Research Professor to full Professor at Duke, focusing on advanced statistical methods for medical research. Research Interests: Design of Medical Experiments: reliability/generalizability models, powering longitudinal trials with multiple outcomes and missing data. Analysis of Repeated Measures & Longitudinal Data: hierarchical linear & mixed models for simultaneous estimation of multivariate trajectories. Substantive Domains: gerontology, geriatrics, psychiatry, and multivariate repeated measures. Across his 2025 publications, Pieper’s work converges on aging-related outcomes—functional decline, polypharmacy, multimorbidity trajectories, metabolic pathways, and psycho-social determinants—leveraging large cohorts (CARDIA, CALERIE, SWET-RA, NHANES-based samples) and employing sophisticated longitudinal modeling to inform clinical decision-making in older adults. Grants & Funding: NIH R01: Measuring Racial Equity and Institutional Racism in Primary Care (EQUIP) (2024-2028) NIA R21: Effect of Acetylcholinesterase inhibitors on Bone Metabolism and Fracture Risk in Alzheimer’s Disease (2023-2026) Tufts subcontract: Legacy Effects of CALERIE Caloric Restriction on Aging Hallmarks (2022-2026) NIH R01: Influence of Vision Impairments on Dementia in Stroke Survivors (2023-2026) UNC pilot: Feasibility of Time-Restricted Feeding in Mild Cognitive Impairment (2023-2026) NIA cooperative agreement: Behavior and Physiology in Aging (2015-2025) NHLBI R01: Sickle Cell Disease Functional Assessment & Exercise Intervention (2023-2025) CDC contract: Strategic Use of Race/Ethnicity Data in NHSN Measures (2022-2025) Teaching & Mentorship: Pieper leads the graduate course CRP 263: Longitudinal Data Analysis at Duke, mentoring trainees in biostatistics and collaborative health research. His Duke affiliation and sustained NIH/CDC funding place him at the forefront of statistical innovation for aging research.

Amanda R. Hiles Howardمشاهده پروفایل

دانشیار

• Developmental Psychology
• Action Research
• Social Psychology
• +۳ مورد دیگر

Amanda R. Hiles Howard is an Associate Professor in the Psychology Department at Samford University's Howard College of Arts and Sciences. Her research specializes in developmental science, action research, and social psychology, with a focus on understanding how adversity affects vulnerable children and families and improving support systems through community engagement and policy reform. Education: BA, The Ohio State University MS, Texas Christian University PhD, Texas Christian University Research Interests: Dr. Howard's work centers on translating academic research into practical solutions for child welfare systems. Primary focus areas include: Resilience mechanisms in children with adverse care experiences Cross-cultural analysis of care systems and policy reform Trauma-informed interventions for vulnerable populations Ethical frameworks for international child welfare initiatives Systemic approaches to improving foster care and orphanage services Her research employs mixed methodologies including longitudinal studies, psychometric evaluations, and community-based participatory research. Publication Trends: Recent articles demonstrate a strong emphasis on childhood adversity during crisis events, particularly COVID-19's impact on care systems. Research frequently intersects clinical psychology, social policy, and global health, with recurring themes of attachment theory, trauma-responsive interventions, and ethical service delivery. Methodologies show increasing use of data-driven approaches to inform policy recommendations. Professional Leadership: As Senior Scholar for the Christian Alliance for Orphans, Dr. Howard supports faith-based organizations in implementing evidence-based care practices globally. She has delivered key policy addresses to international bodies including the Australian Parliament and trained professionals across multiple continents.

Daniel Solowمشاهده پروفایل

استاد

• Complex Systems
• Optimization
• Operations Research
• +۳ مورد دیگر

Daniel Solow serves as Professor in the Department of Operations at Case Western Reserve University's Weatherhead School of Management, where he has maintained continuous faculty appointment since 1978. His interdisciplinary expertise bridges operations research, complex systems theory, and mathematics education within the university's business school framework. His educational background includes foundational training at premier institutions: PhD in Operations Research from Stanford University (1978) MS in Operations Research from University of California at Berkeley (1972) BS in Mathematics from Carnegie-Mellon University (1970) Solow's research program operates at three interconnected frontiers: (1) Mathematical modeling of complex adaptive systems to analyze leadership emergence and optimal central control in organizational contexts; (2) Development of advanced optimization algorithms for deterministic, combinatorial, and nonlinear problems; (3) Creation of systematic pedagogical frameworks for teaching mathematical proofs and quantitative methods. His work demonstrates consistent translational impact from theoretical mathematics to practical business applications, particularly in team dynamics and decision-making under complexity. Analysis of his 15 most recent publications reveals strong thematic continuity in applying mathematical rigor to organizational phenomena, with increasing focus on leadership modeling since 2014. His research evolves from pure optimization techniques toward complex systems applications, maintaining strong representation in top-tier journals like Management Science and Organization Science while expanding into interdisciplinary outlets such as Mathematics and The American Scientist . His scientific recognition includes: Weatherhead Teaching Excellence Award (1981, 2010, 2015) Solow's academic contributions extend beyond publications through significant educational leadership. He has developed influential textbooks including How to Read and Do Proofs and Linear Programming: An Introduction to Finite Improvement Algorithms , while teaching quantitative methods across Weatherhead's MBA, master's, and PhD programs. His course development spans foundational topics like Statistics and Decision Modeling to advanced subjects including Operations Analytics and Python Programming, with documented excellence through multiple teaching awards based on student nominations. External service includes editorial roles for INFORMS Journal on Computing and committee leadership for curriculum development and faculty recruitment.

Aysenil Belgerمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Neuroimaging
• +۵ مورد دیگر

Aysenil Belger, PhD, is a Professor and Director of Neuroimaging Research in Psychiatry at the University of North Carolina at Chapel Hill's School of Medicine, Department of Psychiatry. She holds a joint appointment as Adjunct Associate Professor of Radiology at Duke University's Brain Imaging and Analysis Center. Her research employs multimodal neuroimaging (fMRI, EEG, fNIRS) and neuropsychological methods to investigate cortical circuits underlying attention, executive function, and emotion processing in neuropsychiatric disorders. Dr. Belger completed her BS at Ege University, followed by MA and PhD degrees at the University of Illinois at Urbana-Champaign. Her current work focuses on neural abnormalities in autism, schizophrenia, mood disorders, and PTSD, with recent investigations into stress regulation in adolescence and psychosis risk prediction. Her research integrates experimental psychology with neurophysiological assessments to examine sensory and cognitive impairments across disorders. Key investigations include electrophysiological markers in autism, neural oscillatory abnormalities in schizophrenia, and the impact of early childhood trauma on adult brain function. She actively mentors trainees across academic levels and teaches Cognitive Clinical Neuroscience at UNC. Recent publications demonstrate a methodological focus on dynamic functional connectivity, multimodal data fusion, and neurophysiological biomarker validation. Her work frequently employs machine learning approaches for psychosis prediction and emphasizes translational applications for precision psychiatry. Common themes include neural oscillatory dynamics, stress response systems, cortico-subcortical network interactions, and neurodevelopmental trajectories.