جست‌وجوی استاد و پژوهشگر

• Public Administration
• Local Governments
• Local Government Finance
• +۳ مورد دیگر

Çiğdem AKMAN is an Associate Professor in the Department of Political Science and Public Administration at Mehmet Akif Ersoy University's Faculty of Economics and Administrative Sciences. With a doctorate in Finance from Suleyman Demirel University (2015), she maintains active scholarly engagement evidenced by publications extending to 2025 and an H-index of 11 with 430 citations on Google Scholar. Her research focuses on Public Administration, Local Governments, Local Government Finance, and Institutional Trust , with recent work increasingly examining digital transformation in governance. Key thematic areas include smart city applications, AI in public services, and municipal digitalization strategies, reflecting evolving research interests toward technology-driven governance solutions. AKMAN's publication portfolio demonstrates strong output in both Turkish national journals (TR DİZİN indexed) and international venues (SCI-Expanded, Q2 journals). Her collaborative work spans comparative studies of local governments across Middle Eastern and European contexts, with particular attention to Turkey's municipal systems and international affiliations. Recent publications reveal a pronounced shift toward digital governance topics since 2020, aligning with global trends in public administration research. While specific grant information isn't detailed in the provided text, her extensive publication record across books, journal articles, and conference proceedings suggests substantial research activity. Her editorial work includes co-editing "Local Governments and Their Financial Structures in the World" (2021), indicating leadership in scholarly communication within her field.

Zeynep Akşin Karaesmenمشاهده پروفایل

استاد

• Service Operations Management
• Behavioral Operations Management
• Call Center Operations
• +۴ مورد دیگر

Zeynep Akşin Karaesmen is a Professor in the Operations Management and Information Systems group at Koç University, where she has been since Fall 2002. She holds a PhD (1996) and MS (1994) in Operations Management from the Wharton School, University of Pennsylvania, and a BS in Industrial Engineering from Middle East Technical University (1990). Previously, she served as faculty at INSEAD and was a visiting scholar at Kellogg School of Management (2008-2009). Her research focuses on Service Operations Management Behavioral Operations Management Call Center and Healthcare Operations Stochastic Modeling Mathematical and Empirical Analysis Her recent publications analyze Call Center Delay Announcements Workforce Cross-Training Service System Design Human Capital Valuation Healthcare Capacity Planning Customer Retrial Behavior Scientific Awards TÜBA Social Sciences Incentive Award (2006) IBM Faculty Award (2011) Koç University Outstanding Faculty Member (2017) Wickham Skinner Best Paper Award (2016, 2nd Place) MSOM Service Management SIG Prize Finalist (2015) Best Paper Awards (multiple) She serves as Associate Editor for Management Science , Manufacturing & Service Operations Management , and other journals. Her teaching includes Operations Management (EMBA/MBA/undergraduate), Service Operations Management, and Supply Chain courses.

Olivier Gevaertمشاهده پروفایل

دانشیار

• Biomedical Data Fusion
• Machine Learning
• Cancer Driver Genes
• +۶ مورد دیگر

Olivier Gevaert is an Associate Professor at Stanford University with dual appointments in the Department of Medicine (Biomedical Informatics) and the Department of Biomedical Data Science. He leads interdisciplinary research at the intersection of machine learning and biomedical data fusion, with significant contributions to cancer genomics, imaging biomarkers, and synthetic biomedical data generation. His work spans multiple Stanford institutes including Bio-X, Cancer Institute, and Neurosciences Institute. His research focuses on: Biomedical data fusion across molecular, cellular, and tissue scales Multi-omics integration for cancer driver gene discovery Imaging genomics/radiogenomics Medical digital twin frameworks Synthetic data generation for machine learning Key awards include Faculty Fellow at Stanford Center at Peking University and fellowships from King Baudouin Foundation and Belgian American Educational Foundation. His lab has produced transformative tools like Moonlight, EpiMix, SEQUOIA, and RNA-GAN. He teaches foundational courses in biomedical data science and machine learning approaches.

Joacim Rambergمشاهده پروفایل

دانشیار

• Inclusive Education
• Social Justice
• Educational Policy
• +۴ مورد دیگر

Joacim Ramberg is an Associate Professor at the Department of Special Education, Stockholm University, focusing on inclusive education, social justice, and school culture. His research examines organizational and societal-level educational challenges, with significant contributions to understanding teacher well-being, student psychological health, and policy implementation. PhD in Special Education (2015) from Stockholm University 25+ years as upper secondary teacher and special educator Collaborator with UNESCO's Global Education Monitoring Report and European Agency for Special Needs and Inclusive Education Research spans multi-level policy analysis (e.g., SALAR's inclusive education governance), school ethos effects on student outcomes, and teacher stress implications for school environments. Key findings reveal structural inequities in special education resource distribution and limitations of school climate as a mediator for family background disparities. Recent publications analyze policy actors in Swedish governance systems, organizational dynamics in special education, and cross-European inclusive education trends. Collaborative projects investigate teacher-student relationships, academic integrity, and sickness absence patterns through multilevel modeling. Main supervisor for doctoral students Annika Morén and Anna Swärd Co-supervisor for Carlos Rojas

Johann Isaakمشاهده پروفایل

پژوهشگر

• Experimental nuclear physics
• Photonuclear reactions
• Nuclear structure
• +۳ مورد دیگر

Johann Isaak is a leading experimental nuclear physicist serving as Head of Research Data Management and Principal Investigator (PI) of the IRTG 2891 program at the Institute for Nuclear Physics (IKP) , TU Darmstadt , Germany. His research focuses on advancing our understanding of nuclear structure through precision photonuclear experiments, particularly in the areas of the Pygmy Dipole Resonance, nuclear resonance fluorescence, and gamma-ray spectroscopy. He actively teaches specialized courses such as "Photonuclear Reactions" and contributes to interdisciplinary nuclear physics education. Research Interests: Experimental Nuclear Physics: Design and implementation of advanced detection systems like DAGOBERT for electron-gamma coincidence spectroscopy. Photonuclear Reactions: Investigating nuclear responses to real photons via quasimonoenergetic and polarized beams, focusing on dipole excitations in medium-mass nuclei. Pygmy Dipole Resonance (PDR): Pioneering studies on low-lying dipole strength, its systematic behavior across isotopic chains (e.g., Sn, Ce, Te), and implications for nuclear astrophysics. Nuclear Structure: Precision measurements of transition strengths, level densities, and gamma-ray strength functions to test theoretical models and the Brink-Axel hypothesis. Advanced Detectors and Techniques: Development of high-efficiency spectroscopy setups like y³ at HIγS and AGATA for high-resolution gamma-ray detection. Publication Trends: Isaak's recent publications (2020-2025) demonstrate a strong focus on collective nuclear excitations , evidenced by studies on giant dipole resonances, two-phonon states in Sr-88, and quadrupole excitations in tin isotopes. His collaborative work spans international facilities, including HIγS, GRAF, and Legnaro National Laboratories, highlighting his role in large-scale experimental campaigns. Scientific Contributions: Methodological Advances: Introduced model-independent approaches for determining dipole responses via (γ, γ′γ″) reactions, enhancing precision in photon strength function measurements. Experimental Leadership: Coordinated multi-institutional projects like the AGATA collaboration and NUMEN project, driving advancements in gamma-ray spectroscopy. Educational Outreach: Mentors young researchers through IRTG 2891 and contributes to foundational texts, such as chapters in the Handbook of Nuclear Physics . Collaborations and Infrastructure: Isaak leverages world-class facilities, including the S-DALINAC accelerator at TU Darmstadt and international gamma-ray sources, to probe nuclear phenomena. His leadership in research data management ensures FAIR principles are integrated into nuclear physics workflows, enhancing reproducibility and data sharing.

• Biostatistics
• Item Response Theory (IRT) models
• Scale validation
• +۵ مورد دیگر

Karl Bang Christensen is a Professor at the Department of Public Health, Section of Biostatistics, within the Faculty of Health and Medical Sciences at the University of Copenhagen. His primary research areas include Biostatistics, Item Response Theory (IRT) models, scale validation, patient-reported outcomes (PRO), and multi-state models for sickness absence analysis. Research interests: Rasch models and latent variable models for health outcomes Statistical methods for evaluating PRO instruments Exercise interventions in cancer rehabilitation Multi-state modeling of administrative register data (sickness absence, unemployment, disability pension) Article trends: His publications focus on Rasch models, IRT, survival analysis, clinical trials, and health education. Recent work addresses preventive health interventions in dermatology, while earlier studies emphasize cognitive dysfunction, migraine treatment, and social determinants of sickness absence. Teaching: He teaches statistics at the Master of Health Sciences and PhD levels.

Johan Pauwelsمشاهده پروفایل

مدرس

• Audio Signal Processing
• Music Information Retrieval
• Machine Learning for Audio
• +۳ مورد دیگر

Dr. Johan Pauwels is a Lecturer in Audio Signal Processing at Queen Mary University of London's School of Electronic Engineering and Computer Science, where he is affiliated with the Centre for Digital Music and the Centre for Multimodal AI. His educational background includes: Master of Science in Electrical/Electronics Engineering from KU Leuven (2006) Master of Science in Artificial Intelligence from KU Leuven (2007) PhD from Ghent University (2016) on automatic harmony recognition from audio Johan's research focuses on making machines understand audio to the level of a trained professional. His work combines machine learning, signal processing, data science, and music theory to develop tools for musicians, listeners, and music learners. He has been working on narrowing the gap between academic research and user-centric applications, web-based music services, and the personalization of spatial and immersive audio. His specific interests include machine learning for audio, audio signal processing, music information retrieval, and binaural audio. His recent publications show a strong focus on music representation learning, with particular attention to limited data scenarios, multimodal approaches, and spatial audio processing. His work bridges theoretical music concepts with practical machine learning applications, especially in chord recognition, beat detection, and instrument recognition. He has made significant contributions to HRTF (Head-Related Transfer Function) research and development of tools for spatial audio processing. Dr. Pauwels is actively involved in research funding, with current grants including the AIM CDT Internship with Sofilab (2025), AIM CDT Studentship - Stem (2024), and AIM CDT Internship with stem.tech (2024). He currently supervises multiple PhD students, primarily through the UKRI Doctoral School in AI and Music, with research topics spanning intelligent audio editing, neural drum synthesis, source separation, graph neural networks for music recommendation, and more. In addition to PhD supervision, he typically guides 8-10 undergraduate and 8-10 master's students through their final year projects. His teaching responsibilities include ECS7013P Deep Learning for Audio and Music (MSc/PhD level) and ECS411U Signals and Information (first-year undergraduate).

G. James Lemoineمشاهده پروفایل

دانشیار

• Leadership Studies
• Ethics and Morality
• Organizational Behavior
• +۳ مورد دیگر

G. James Lemoine is an Associate Professor in the Department of Organization and Human Resources at the School of Management, University at Buffalo. His research focuses on leadership (especially servant leadership, ethical leadership, and moral identity frameworks), creativity, and organizational behavior methodologies. He teaches courses in Organizational Behavior and Leadership. Education: PhD in Management (Georgia Institute of Technology) BS in Business Administration (Louisiana State University) His research interests span leadership ethics, creativity catalysts, and shared leadership networks. Notable contributions include frameworks linking servant leadership to stakeholder benefits and analyzing gender differences in creative performance. Recent work explores political skills in organizational change and VUCA (volatility, uncertainty, complexity, ambiguity) management. Selected Awards: SUNY Chancellor's Award for Excellence in Teaching (2021) Best Dissertation-Based Paper Award (Academy of Management, 2016) Fredric M. Jablin Doctoral Dissertation Award (ILA, 2016) His research has been published in journals like Academy of Management Annals, Journal of Applied Psychology, and Organizational Research Methods. He maintains active roles in professional organizations including the Academy of Management and Greenleaf Center for Servant Leadership. Lemoine advises on servant leadership effectiveness, leadership ethics, and multi-team empowerment spillover effects. His work has practical implications for improving organizational performance through morally-grounded leadership practices.

Thomas Farmerمشاهده پروفایل

استاد

• Special Education
• Educational Psychology
• Developmental Science
• +۵ مورد دیگر

Thomas Farmer serves as Professor and Chair of the Department of Foundations of Education at Virginia Commonwealth University School of Education, where he integrates educational psychology, developmental science, and special education to create responsive classroom environments for diverse learners within their socio-cultural contexts. His academic journey includes a B.A. in Philosophy from the College of William & Mary, followed by M.A. and Ph.D. degrees in Special Education from the University of North Carolina at Chapel Hill. Farmer's research centers on social inclusion of diverse learners, teacher management of classroom social dynamics, and research-practice partnerships. Key frameworks include the BASE (Behavioral, Academic, and Social Engagement) model and SEALS (Supporting Early Adolescent Learning and Social Strengths) intervention, emphasizing rural education contexts , adaptive evidence-based practices , and developmental responsiveness . His work prioritizes teacher attunement to students' dynamic needs within multi-level ecological systems. Analysis of his 2022-2025 publications reveals three dominant trends: (1) addressing teacher burnout through social network analysis and classroom dynamics management; (2) advancing targeted universalism to address systemic oppression for youth of color; and (3) developing tiered adaptive support systems that prioritize contextual implementation over rigid fidelity, particularly in rural schools. Farmer directed the National Research Center on Rural Education Support (NRCRES, 2004-2011) and co-edits the Journal of Emotional and Behavioral Disorders (2012-present). He completed the presidential line of the Council for Exceptional Children's Division for Research (2018-2022), demonstrating sustained leadership in special education scholarship. His grant portfolio includes NRCRES and development of the BASE/SEALS models, implemented through research-practice partnerships with rural school districts. Farmer's laboratory focuses on classroom social network analysis, utilizing tools like the 'scouting report' process to help teachers understand peer dynamics and adapt interventions in real-time, ultimately enhancing student engagement and social inclusion.

YongJiang Zhangمشاهده پروفایل

دانشیار

• Plant Physiology
• Climate Change
• Environmental Stress Physiology
• +۳ مورد دیگر

Dr. YongJiang (John) Zhang is an Associate Professor of Plant Physiology at the School of Biology and Ecology, University of Maine . His research focuses on plant responses to environmental stresses and climate change, particularly in wild blueberries and trees. His lab uses interdisciplinary approaches including field studies, UAV sensors, and controlled experiments. Dr. Zhang holds a Ph.D. from the University of Miami (2012) and Chinese Academy of Sciences (2011). Education: Ph.D., University of Miami, 2012 Ph.D., Chinese Academy of Sciences, 2011 Research Interests: Plants' physiological and structural adaptations to climate change, including water transport mechanisms, drought tolerance, and carbon balance. Key themes include wild blueberry resilience in Maine, tropical tree physiology, and precision agriculture techniques like UAV-based monitoring. His work integrates multi-scale approaches from lab experiments to ecosystem-level modeling. Lab & Collaborations: The Zhang Lab is located in Murray Hall and Hitchner Hall. Current research includes wild blueberry climate resilience, water-use efficiency of Maine forests, and novel technologies for crop management. Dr. Zhang collaborates with institutions like Harvard University and the Climate Change Institute. Grants & Advising: Oversees multiple graduate students and undergraduate researchers. Recent projects include NSF-funded studies on climate impacts and USDA grants for precision agriculture. Advises on topics like UAV applications and drought resistance genetics.

Jonathan E. Martinمشاهده پروفایل

استاد

• Synoptic Meteorology
• Atmospheric Dynamics
• Jet Stream Variability
• +۳ مورد دیگر

Jonathan E. Martin is a Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison since 1994. He received his Ph.D. in Atmospheric Sciences from the University of Washington in 1992. Research Focus: Mid-latitude cyclones, jet stream dynamics, and weather-climate interactions Key Methods: Multi-scale observational analysis, high-resolution mesoscale modeling, potential vorticity diagnostics Recent Projects: Jet stream waviness trends, subtropical-midlatitude cyclone transformation, snow cover-cyclone feedback His 2025-2024 publications examine extratropical cyclone precipitation distribution, Pacific basin rapid cyclogenesis, and Earth system model validation for cyclone occlusion. Earlier work (2023-2019) addresses: Jet superposition climatology Self-organizing map analysis of jet variability Cyclone-induced Southern Hemisphere waviness Nonlinear jet retraction mechanisms Tornado outbreak jet influences Historical cold pool contraction trends Awarded the 2021 Atmospheric Sciences Librarians International Choice Runner Up for his historical meteorology work, he also authored the textbook Mid-Latitude Atmospheric Dynamics: A First Course (2013). His research spans cyclogenesis, frontogenesis, and climate change impacts on jet streams, with applications in extreme weather forecasting and climate modeling validation.

Zhen Xieمشاهده پروفایل

استادیار

• High-Performance Computing (HPC)
• Machine Learning
• Parallel Computing
• +۳ مورد دیگر

Zhen Xie is an Assistant Professor in the Department of Computer Science at Binghamton University (SUNY), serving as Director of the Parallel Computing and Intelligent System (PCIS) Lab. He holds a PhD from the Chinese Academy of Sciences and a BA from Wuhan University of Technology. His research focuses on high-performance computing (HPC), machine learning, and their intersections, particularly optimizing performance for HPC and AI/DL applications across heterogeneous architectures. Research Highlights: Dr. Xie’s work emphasizes system-level performance optimization for ML and HPC, including GPU acceleration, memory optimization, and AI accelerator selection. His team has won the ACM Gordon Bell Special Prize (2022) for their GenSLMs project predicting SARS-CoV-2 evolution. Recent grants include a 2024 gift from OpenAI for AI testbed initiatives. Awards: ACM Gordon Bell Special Prize (2022), Impact Argonne Awards (2023) Lab: PCIS Lab explores middleware for parallel computing, targeting scientific simulations and big data analytics. Collaborations include Argonne National Lab and Lawrence Berkeley National Lab. Teaching: Teaches Distributed Systems (CS 457/557) and oversees independent studies. Previously trained researchers at Argonne’s ATPESC program. Grants & Collaborations: Subcontract with Lawrence Berkeley Lab (HEVI-LOAD), Argonne testbed expeditions, and OpenAI-funded projects. Active in DOE labs like Summit and Aurora supercomputers.

• Operations Research
• Data Analytics
• Machine Learning
• +۴ مورد دیگر

Dr. Katie McConky is a Professor and Department Head of Industrial and Systems Engineering at Rochester Institute of Technology (RIT). She holds a Ph.D. in Industrial Engineering from SUNY Buffalo and prior experience as a research scientist at CUBRC Inc., where she worked on military and data mining projects. Her research focuses on operations research, machine learning, and energy systems optimization, addressing challenges in combinatorial optimization, cyberattack forecasting, and sustainable energy management. She has secured funding from agencies like ONR, AFRL, NASA, and NYSERDA. Education: BS and MS (RIT), Ph.D. (SUNY Buffalo) Key Roles: Department Head, Faculty Member, Research Scientist (CUBRC) Her work spans applications such as kidney exchange optimization, rover mission planning, and energy demand forecasting. She emphasizes interdisciplinary collaboration in her research, integrating machine learning with traditional optimization techniques. Dr. McConky’s publications highlight advancements in forecasting methodologies for cyber threats, energy systems, and transportation logistics. She teaches courses including Operations Research and Forecasting Methods, emphasizing practical software tools like Gurobi. Her contributions include patents on remote activity detection and energy storage optimization. Her research is supported by grants from federal agencies and industry partners, reflecting her expertise in both academic and applied domains.

• Healthcare Design
• Human-Centered Design
• Ergonomics
• +۵ مورد دیگر

Dr. Armagan Albayrak is an academic researcher at the Faculty of Industrial Design Engineering, Delft University of Technology, specializing in Human-Centered Design and Ergonomics . Their work focuses on healthcare innovation, particularly in improving patient experiences, sustainable medical technologies, and extended reality (XR) applications. Albayrak leads research projects like HiPP (optimizing orthopedic patient journeys) and Virtual Patient (surgical training systems), and teaches Health courses since 2023. Their research spans medical device design, dementia care technologies, telemedicine systems, and ICU sustainability. Key projects include redesigning syringe and glove usage in ICUs to reduce environmental impact, developing AR/VR tools for medical education, and co-designing assistive technologies with patients. Albayrak collaborates with healthcare providers, engineers, and interdisciplinary teams to bridge design and clinical practice. They are a 2025 Open Education Ambassador , advocating for accessible learning resources. Publications highlight themes like pediatric hemophilia care, cross-cultural surgical training, and dementia care personalization. Their work emphasizes user-centered approaches, emphasizing how design can enhance healthcare equity, efficiency, and sustainability.

Nellie Georgiou-Karistianisمشاهده پروفایل

استاد

• Neuropsychology
• Huntington's Disease
• Friedreich Ataxia
• +۵ مورد دیگر

Professor Nellie Georgiou-Karistianis serves as the Pro Vice-Chancellor (Research Training) at Monash University within the Deputy Vice-Chancellor (Research) portfolio, where she leads and shapes the graduate research training agenda. She previously held significant leadership roles as Associate Dean (Graduate Affairs, 2015-2018) and Deputy Dean (Academic and Graduate Affairs, 2019-2021) within the Faculty of Medicine, Nursing and Health Science. She heads the Georgiou-Karistianis Experimental Neuropsychology Research Unit within the Turner Institute of Brain and Mental Health and serves as Director of the Huntington's Research Group of Victoria (HRGV). Her research focuses on neurodegenerative disorders, particularly Huntington's disease and Friedreich ataxia. She has pioneered work in discovering novel biomarkers for tracking disease progression that are now used in early drug development. Her research spans cognitive neuroscience, neuroimaging, biomarker development, and cognitive interventions. She has made significant contributions to understanding disease progression at brain, cognitive and motor levels, with work that has informed clinical trials and therapeutic approaches. Analysis of her recent publications reveals a strong focus on advanced neuroimaging techniques for tracking neurodegenerative processes, machine learning applications for biomarker development, and cognitive interventions for neurodegenerative conditions. Her work increasingly integrates multimodal data analysis and international collaboration to validate imaging biomarkers for clinical trial use. H-index of 57 with over 10,500 citations Editor-in-chief of Journal of Huntington's Disease since 2017 Editor-in-chief of Recent Patents on Biomarkers since 2017 Leadership certification from Harvard University Professor Georgiou-Karistianis has supervised 29 doctoral students to completion, seven of whom received NHMRC ECR Fellowships and one a Fulbright Fellowship. She has secured over $16 million in research funding from competitive government schemes (NHMRC, ARC Linkage) and philanthropic bodies. As Overall Coordinating Principal Investigator, she leads TRACK-FA, an international study with seven academic partners and six industry sponsors across four continents. She leads the Georgiou-Karistianis Experimental Neuropsychology Research Unit and chairs the TRACK-FA Neuroimaging Consortium. Her work involves close collaboration with international research networks including the Huntington's Disease Regulatory Science Consortium (HD-RSC), Critical Path Institute, and the Cure Huntington's Disease Initiative (CHDI, USA) Foundation.