جست‌وجوی استاد و پژوهشگر

Mehrdad Nojoumianمشاهده پروفایل

دانشیار

• Security
• Privacy
• Trust
• +۱۰ مورد دیگر

Mehrdad Nojoumian is an Associate Professor at Florida Atlantic University's College of Engineering and Computer Science, specializing in Security, Privacy, Trust, and Human-Autonomy Interaction. His research bridges computer science with FinTech and autonomous systems, focusing on cryptographic protocols, blockchain, and IoT security. PhD, University of Waterloo (Computer Science, 2012) MSc, University of Ottawa (Computer Science, 2007) BSc, Islamic Azad University (Computer Engineering, 2002) His research explores privacy-preserving mechanisms in autonomous systems, trust modeling in blockchain, and cross-disciplinary applications of cryptography. Recent work includes patents on adaptive driving modes and ongoing studies on IoT vulnerabilities and autonomous coordination. Notable awards include the Excellence and Innovation in Undergraduate Teaching Award (2023), NAI Induction (2022), and multiple Best Paper Awards . His publications span journals like Information and Computation and conferences such as GameSec and IEEE Blockchain . He mentors graduate students in cybersecurity bootcamps, high school outreach programs, and collaborative research projects funded by NSF , ARO-AFOSR , and AFRL . His lab emphasizes diversity and inclusion, particularly supporting underrepresented groups in STEM.

Andrzej Nowakمشاهده پروفایل

استاد

• Dynamical Social Psychology
• Social Influence
• Computer Simulations of Psychological Processes
• +۷ مورد دیگر

Dr. Andrzej Nowak is a Professor of Psychology at the Charles E. Schmidt College of Science, Florida Atlantic University , where he has created a unique interdisciplinary research program since 1991. His work bridges social psychology, computational modeling, and complex systems theory. University of Warsaw, Psychology Stanford University, 1974-1975 M.A. and Ph.D. in Psychology from University of Warsaw (1978, 1987) Nowak's research focuses on applying dynamical systems theory to understand social processes through computational modeling. He investigates: Emergent properties of social systems Self-organization in group dynamics Conflict and radicalization mechanisms Synchronization of psychological states Behavioral economics and social dilemmas Technology-mediated social transitions His publications demonstrate interdisciplinary breadth across psychology, computational science, and socioeconomic modeling. While many articles (1990-2010) focus on social impact theory and neural network applications, recent work (2008-2010) expands to intractable conflict modeling, social entrepreneurship, and cross-scale systemic dynamics. Dr. Nowak has co-edited multiple volumes on: Complex human dynamics Computer modeling of social processes Non-equilibrium social science He has developed simulation platforms like Attractor for multi-stakeholder negotiation training and contributed to understanding: Warsaw as an emergent structure Polish political cleavage stability Behavioral economics foundations

Gregory W. Saxtonمشاهده پروفایل

مدرس ارشد

• Comparative Politics
• Latin American Politics
• Political Inequality
• +۳ مورد دیگر

Gregory W. Saxton serves as a Senior Lecturer and Director of Undergraduate Studies in the Department of Political Science at Texas Tech University. He teaches undergraduate courses in comparative politics, Latin American politics, and research methods, contributing significantly to the department's academic programs. Dr. Saxton earned his Ph.D. in Political Science from the University of Kentucky in 2019. His doctoral training equipped him with advanced quantitative research skills applied to the study of political behavior in developing regions. His research agenda centers on comparative politics with a regional focus on Latin America and developing countries. Key interests include: The impact of economic and political inequality on political support Representation of the working class in political institutions Corruption perceptions and their effect on democratic evaluations Gender egalitarian attitudes and political behavior Dr. Saxton employs rigorous quantitative methodologies to analyze survey data and understand citizen attitudes toward democratic institutions, particularly in contexts of high inequality. Over the period 2018-2024, Dr. Saxton has published consistently in high-impact journals such as Governance , Political Research Quarterly , and Latin American Politics and Society . His 2023 book with Cambridge University Press, Working Class Inclusion , represents a significant contribution to the field. His work demonstrates a clear trajectory examining how inclusion (or lack thereof) of marginalized groups affects democratic legitimacy. Dr. Saxton has not received any publicly listed scientific awards in the provided materials. In his role as Director of Undergraduate Studies, Dr. Saxton provides academic guidance to Political Science majors and oversees curriculum development. He has supervised undergraduate research and mentored students in the honors program. Although specific grant awards are not detailed, his research productivity indicates successful funding for fieldwork, including extensive data collection in Argentina. Fieldwork in Argentina constitutes a major component of Dr. Saxton's research methodology, allowing him to gather primary data on political attitudes in Latin America. This hands-on approach complements his quantitative analyses of large cross-national datasets.

Hakan Aydinمشاهده پروفایل

استاد

• Real-Time Embedded Systems
• Sustainable Computing
• Fault Tolerance
• +۴ مورد دیگر

Hakan Aydin is a Professor and Director of the PhD Program in the Department of Computer Science at George Mason University's Volgenau School of Engineering. He has been teaching at George Mason University since 2001 and has established himself as a leading researcher in real-time embedded systems and energy-aware computing. Education: PhD in Computer Science from the University of Pittsburgh (2001) Hakan Aydin's research primarily focuses on sustainable computing, real-time embedded systems, fault tolerance, Internet-of-Things, and cyber-physical systems. His work bridges theoretical foundations with practical implementations, particularly in energy management for real-time systems. He has developed innovative techniques for reliability-aware power management, dynamic voltage scaling, and energy harvesting in wireless sensor networks. His research has significant implications for extending battery life in mobile devices, improving reliability in safety-critical applications, and enabling sustainable computing practices. Aydin's publications reveal a consistent research trajectory centered around energy efficiency and reliability in real-time systems. His work spans theoretical algorithm development, system-level implementation, and experimental validation. A notable trend is the evolution from single-processor systems to multicore and heterogeneous architectures, reflecting industry trends. His recent work increasingly addresses security aspects of real-time systems and the integration of IoT technologies. Scientific Awards: National Science Foundation CAREER Award (2006) George Mason University Computer Science Department Teaching Award (2006, 2009) Best Paper Award at IEEE Green and Sustainable Computing Conference (IGSC'20) Best Student Paper Award at IEEE International Conference on Embedded Software and Systems (ICESS'15) Best Paper Award at IEEE International Conference on Embedded Computing (EmbeddedCom'14) Best Paper Award at International Workshop on Highly-Reliable Power-Efficient Embedded Designs (HARSH'13) Best Paper Award at ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM'11) Hakan Aydin has advised seven PhD students to completion, including Vinay Devadas (2011), Baoxian Zhao (2012), Bo Zhang (2012), Mohammad Atiqul Haque (2016), Maryam Bandari (2016), Arda Gumusalan (2019), and Abhishek Roy (2021). His research has been generously supported by the National Science Foundation through multiple grants, including CSR: Small: Collaborative Research: Towards Reliability-Centric Real-time Computing on Heterogeneous Chip Multiprocessor Systems (2014-2017), CSR: Small: Energy Harvesting for Performance Sensitive Wireless Sensor Networks (2011-2015), and CSR: Small: Collaborative Research: Generalized Reliability-Aware Power Management for Real-Time Embedded Systems (2010-2014). Prof. Aydin has held significant leadership roles in the academic community, serving as the Technical Program Committee Chair of the IEEE RTAS 2011 and General Chair of IEEE RTAS 2012. He is also a member of the Editorial Board of Journal of Real-Time Systems (Springer). His work has established foundational principles in reliability-aware energy management for real-time systems, influencing both academic research and industrial practices in embedded computing.

Terence Lee Robinsonمشاهده پروفایل

استاد

• Applied Fruit Crop Physiology
• Orchard Production Systems
• Crop Load and Canopy Management
• +۲ مورد دیگر

Terence Lee Robinson is a Professor at Cornell AgriTech , affiliated with the School of Integrative Plant Science and Horticulture Section . His work focuses on applied fruit crop physiology to enhance global fruit production. Education : PhD in Horticulture (1984) and MS in Horticulture (1982) from Washington State University; BS in Plant Science (1978) from Brigham Young University. Research Interests center on solving practical fruit production challenges through orchard systems analysis , rootstock evaluation , and crop load management . His field-oriented studies integrate biological and economic assessments of orchard performance. Recent Publications highlight his expertise in apple rootstock testing , chemical thinning , and nutrient management , with global implications for improving fruit quality and orchard productivity under diverse conditions. Scientific Honors : Elected Fellow, American Society for Horticultural Science (2021) Wilder Medal, American Pomological Society (2021) International Fruit Tree Association Hall of Fame (2015) Extension Leadership includes fostering collaborations between Cornell, Michigan State University, and Ontario Canada extension teams, while editing the NY Fruit Quarterly to disseminate research findings.

Joanna Gutral-Sutherlandمشاهده پروفایل

استادیار

• Social Psychology
• Personality Psychology
• Mental Health
• +۵ مورد دیگر

Dr. Joanna Gutral-Sutherland is an Assistant Professor at SWPS University , affiliated with the Faculty of Design in Warsaw and the Department of Social Applications of New Technologies . She also contributes to the Centre for Climate Action and Social Transformations (4CAST) . Her research focuses on: Social expectations and psychological needs Personality trait development across the lifespan Climate change impact on well-being Mental health stigma and prevention Psychoeducation and cognitive-behavioral therapy Self-concept and temporal comparisons Scientific recognitions include: Professor Zbigniew Pietrasiński Award (2016) Podcast of the Year 2022 for "Gutral Gada" Vivelo Top Creators 2024 She teaches statistics, psychological research methodology, and personal skills development at SWPS University, while providing individual cognitive-behavioral psychotherapy and coordinating UX specialization programs.

Chien-Ming Huangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Chien-Ming Huang is the John C. Malone Assistant Professor in the Department of Computer Science at Johns Hopkins University. He leads the Intuitive Computing Laboratory and is affiliated with the Malone Center for Engineering in Healthcare, Laboratory for Computational Sensing and Robotics, Institute for Assured Autonomy, and Data Science and AI Institute. His research focuses on human-robot interaction, human-computer interaction, and artificial intelligence applications in healthcare and education. BS in Computer Science, National Chiao Tung University (2006) MS in Computer Science, Georgia Institute of Technology (2010) PhD in Computer Science, University of Wisconsin–Madison (2015) Postdoctoral Research, Yale University (2015-2017) Dr. Huang's work bridges human-robot interaction, robotics, and AI to develop technologies that enhance social, physical, and behavioral support for diverse populations. His research includes adaptive robot systems for autism intervention, aging care technologies, and explainable AI frameworks for medical decision support. Current projects focus on end-user robot programming, socially aware navigation, and conversational agents for health management. His publications span major venues like Science Robotics , HRI, CHI, and ICRA, with recent emphasis on robot error awareness, small talk in collaboration, and AI explanation design for healthcare. Dr. Huang has received numerous accolades including the NSF CAREER Award and John C. Malone Endowed Chair. 2022 NSF CAREER Award John C. Malone Endowed Chair 2013 RSS Best Paper Runner-Up 2012 Human-Robot Interaction Pioneer Dr. Huang mentors PhD, postdoctoral, and undergraduate researchers, emphasizing interdisciplinary collaboration and technical rigor. He serves as Associate Editor for ACM Transactions on Human-Robot Interaction and has organized key conferences including HRI and ICMI. His lab develops systems for robotic assistance in surgical training, home healthcare, and educational contexts.

• Journalism and Communication
• Intelligent Communication
• Digital Media Art
• +۶ مورد دیگر

Wang Jianmin serves as Professor and Doctoral Supervisor at Tongji University's School of Art and Media, concurrently holding the position of Vice Dean since 2014. With a computer science PhD from Sun Yat-sen University, he bridges engineering and media arts through pioneering research in intelligent communication systems and digital media interfaces. His work focuses on human-centered design for emerging technologies, particularly in automotive and virtual environments. His academic foundation includes: PhD in Engineering (Computer Software and Theory), Sun Yat-sen University (2003) Master's in Computational Mathematics, Sun Yat-sen University (1999) Bachelor's in Computational Mathematics, Nankai University (1996) Professor Wang's research centers on intelligent communication systems and digital media art, with significant contributions to automotive human-machine interfaces (HMI), virtual reality applications, and user experience methodologies. His investigations into driver-robot transparency, augmented reality navigation, and mixed-reality educational platforms demonstrate interdisciplinary innovation connecting computer science, cognitive psychology, and design theory. Current projects explore AI-driven media systems for urban environments and safety-critical interaction frameworks. Analysis of his recent publications reveals a cohesive research trajectory focusing on automotive HMI (40% of output), human-robot interaction (30%), and mixed reality applications (30%). His work consistently emphasizes experimental validation through driving simulators and user studies, yielding practical design guidelines for industry implementation. The interdisciplinary nature spans computer science, cognitive ergonomics, and media studies, with increasing emphasis on AI integration in communication systems. His scientific recognition includes national and provincial awards for innovation in human-computer interaction and educational technology: 2019 China Industry-University-Research Innovation Award for automotive HMI systems 2020 China User Experience Alliance Excellence Award 2012 Guangdong Dingying Science and Technology Award Multiple national/provincial science progress awards (2001-2009) 2020 Tongji University Teaching Achievement Award for curriculum development As an educator, Professor Wang mentors graduate students in national design competitions including the 'Core Cup' Future Automotive HMI Challenge and International User Experience Innovation Competition. His research program is supported by substantial funding from diverse sources: National Grants: National Natural Science Foundation projects on driver behavior modeling and cognitive testing Ministry of Education: 15+产学合作 projects for virtual simulation labs and curriculum development Shanghai Municipal: Publicity Department funding for smart city media research Industry Partnerships: Huawei (intelligent vehicle HMI), SAIC Motor (AR-HUD design), and automotive electronics firms He directs Tongji's Media Experiment and Practice Teaching Center and the All-Media Research Institute, leading teams developing virtual simulation platforms for emergency news reporting, intelligent vehicle interaction testing systems, and mixed reality educational tools. Current initiatives focus on AI-enhanced media art for urban applications and next-generation HMI frameworks for autonomous mobility solutions.

Iain Murrayمشاهده پروفایل

استاد

• Machine Learning
• Probabilistic Modeling
• Density Estimation
• +۳ مورد دیگر

Iain Murray is Professor of Machine Learning and Inference at the School of Informatics, University of Edinburgh. His research focuses on developing flexible probabilistic models applicable across diverse domains including cosmology, neuroscience, perception, speech, sports, and text. Program Chair for ICLR (2018) Publications Chair for ICML (2017, 2018) Area Chair for AISTATS, ICLR, ICML, NeurIPS, and UAI Amazon Scholar (2018-2024), first appointed in Europe Murray's research interests center on probabilistic reasoning using machine learning, with specific expertise in density estimation and Markov chain Monte Carlo methods. His work spans theoretical foundations and practical applications, with significant contributions to neural autoregressive distribution estimation (NADE), real-valued NADE (RNADE), and pseudo-marginal slice sampling techniques. His research has enabled advances in flexible probabilistic modeling across multiple domains. His publications show consistent focus on advancing probabilistic modeling techniques, with recent work emphasizing neural autoregressive models, density estimation methods, and efficient sampling algorithms. The research trajectory demonstrates progression from foundational work on NADE to increasingly sophisticated deep learning approaches for density estimation and inference. Notable Paper Award for NADE work Amazon Scholar (2018-2024) Murray has supervised numerous PhD students who have gone on to prominent positions at Google DeepMind, NYU, stability.ai, and other leading institutions. His teaching responsibilities include the Machine Learning and Pattern Recognition course and project supervision. His research group focuses on developing tractable probabilistic models with applications across multiple scientific domains.

Tommaso Gabrieliمشاهده پروفایل

دانشیار

• Urban Economics
• Real Estate Valuation
• Behavioral Economics
• +۱۲ مورد دیگر

Dr. Tommaso Gabrieli is an Associate Professor in Real Estate at the Bartlett School of Planning, University College London (UCL), where he has been employed since September 2015. His academic career spans multiple institutions including the University of Reading, City University London, University of Warwick, and the Catholic University of Milan. His educational background includes: PhD in Economics from the University of Warwick (2009) MSc in Economics from the London School of Economics and Political Science (2003) Fellowship of the Higher Education Academy from the University of Reading (2013) As a theoretical economist trained in the ambrosian tradition of social welfare, Gabrieli's research focuses on the economic analysis of urban policy issues. His expertise encompasses economic modeling of real estate markets, financial viability of urban projects, multi-dimensional value measurements, and value-capture mechanisms. He has developed novel interdisciplinary methods bridging urban planning and design with economics, making him one of few economists actively collaborating with urban planning scholars in the UK. His work addresses Sustainable Development Goals including No Poverty, Good Health, Decent Work, Reduced Inequalities, Sustainable Cities, and Climate Action. His recent publications demonstrate a strong focus on urban design governance, value capture mechanisms, and the interface between economic theory and urban planning practice. The research spans theoretical explorations of post-growth planning and practical applications in land value recovery, particularly examining implications for housing affordability, wealth distribution, and community wellbeing in both urban and rural contexts. His work often integrates behavioral economics with spatial planning considerations. Professional recognition includes: Fellow of the Higher Education Academy Gabrieli has extensive experience supervising PhD and MSc dissertations across multiple institutions. His teaching portfolio includes Real Estate Appraisal and Valuation at UCL, where he leads relevant modules for both undergraduate and graduate programs. He has contributed to significant research projects including 'Street Appeal' commissioned by Transport for London and the Horizon 2020-funded 'UrbanMaestro' project worth 1 million Euros. His research impact has been formally recognized by Transport for London. Currently, he leads the 'Future Urban Growth Lab' project, funded by UCL Knowledge Exchange and Innovation Funding, in partnership with the Royal Town Planning Institute and Politecnico of Turin. This project aims to operationalize an urban growth model prototype for use by local authorities in planning future city development, bridging academic research with practical planning applications.

Alexander Kollerمشاهده پروفایل

استاد

• Computational Linguistics
• Neural-Symbolic Models
• Semantic Parsing
• +۵ مورد دیگر

Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.

Ghassan AlRegibمشاهده پروفایل

استاد

• Machine Learning
• Image and Video Processing
• Computer Vision
• +۷ مورد دیگر

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Laurie Williamsمشاهده پروفایل

استاد

• Software Security
• Agile Software Development
• Software Supply Chain Security
• +۴ مورد دیگر

Laurie Williams serves as a Goodnight Distinguished University Professor in the Computer Science Department within the College of Engineering at North Carolina State University. She co-directs both the NCSU Secure Computing Institute and the NC State Science of Security Lablet, demonstrating deep institutional leadership in cybersecurity research. With over 260 refereed publications, her work establishes her as a prominent figure in software security academia. Her research spans critical areas including software security, agile development practices (particularly continuous deployment), software reliability, and software supply chain security. Williams focuses on practical security solutions addressing modern challenges like malicious dependencies in open-source ecosystems, AI-generated code vulnerabilities, and runtime protection mechanisms. Her work bridges theoretical security principles with industry-relevant applications. Recent publications reveal strong trends toward software supply chain security, with multiple 2024-2025 papers addressing vulnerability exploitability, malicious commit detection, and metrics-driven security control selection. Her research increasingly incorporates machine learning for threat detection while maintaining focus on human factors in secure development practices. IEEE Fellow (2018) National Science Foundation CAREER Award (2004) ACM SIGSOFT Influential Educator Award (2009) Multiple IBM Faculty Awards (2002-2012) NCSU Alumni Association Outstanding Research Award (2015-2016) Williams leads multiple major NSF-funded projects including the $5.7M SaTC Frontiers grant on secure software supply chains and the Science of Security Lablet with $3.6M in DoD funding. Her research emphasizes practical industry impact through collaborations with Cisco and Laboratory for Analytic Sciences. She actively mentors through the NCSU Research Leadership Academy and maintains significant educational outreach in software security. Her laboratory work centers on the Secure Computing Institute and Science of Security Lablet, where her team develops frameworks for vulnerability prediction, supply chain risk assessment, and secure development methodologies. Current projects focus on machine learning integrity, cognitive modeling for security decisions, and empirical analysis of build/deployment logs for anomaly detection.

Thomas G. Costantinoمشاهده پروفایل

استاد

• Emergency Medicine Ultrasound
• Diagnostic Imaging
• Point-of-Care Ultrasound (POCUS)
• +۳ مورد دیگر

Thomas G. Costantino, MD, is a Professor in the Department of Emergency Medicine at Lewis Katz School of Medicine at Temple University. He specializes in Emergency Medicine Ultrasound, with a focus on diagnostic imaging, vascular access, and musculoskeletal ultrasound. Dr. Costantino has held academic positions at multiple institutions, including Drexel University and Medical College of Pennsylvania, and has received numerous accolades for teaching excellence and research contributions. Education: MD from University of Michigan School of Medicine Training: Fellowship and Residency in Emergency Medicine at Medical College of Pennsylvania His research involves advancing point-of-care ultrasound (POCUS) techniques in emergency diagnostics, particularly for aortic dissections, pleural effusions, and acute visual complaints. His publications highlight the efficacy of ultrasound-guided procedures over traditional methods. Scientific Awards & Memberships National Alzheimer’s Federation Research Award University of Michigan Alumni Merit Scholarship Excellence in Teaching Awards at Temple, Drexel, and MCP/Hahnemann Medical Schools Fellow of American Academy of Emergency Medicine and American College of Emergency Physicians Dr. Costantino actively contributes to emergency medicine education, including associate editor roles in medical textbooks and ultrasound training programs. His work emphasizes improving diagnostic accuracy and patient outcomes through innovative imaging techniques.

• Educational Psychology
• School Culture
• Emotional Intelligence in Education
• +۳ مورد دیگر

Ali Akdoğan is an Assistant Professor in the Department of Educational Sciences at Final University. His academic career spans over two decades with doctoral studies completed in 2014, following a Master's degree in 1995 and Bachelor's degree in 1992. Educational Background: Doctoral Degree: 2014 Master's Degree: 1995 Bachelor's Degree: 1992 Research Interests: Dr. Akdoğan's work explores educational psychology, teacher development, and the impact of global educational frameworks like the International Baccalaureate program. His research analyzes school culture, emotional intelligence in educational settings, and pandemic-induced distance learning challenges. Publication Trends: Recent work (2021-2022) focuses on psychological impacts of the pandemic on students, effectiveness of international educational programs, and teacher emotional intelligence. Earlier research (2002, 1995) examines social capital and personnel selection in educational institutions.