جستجوی استاد راهنمای دانشگاهی

• Sports Law
• Sports Business
• Sports Policy
• +۳ مورد دیگر

Andrew Brandt serves as Professor of Practice and Executive Director of the Moorad Center for the Study of Sports Law at Villanova University School of Law. He concurrently holds roles as a featured columnist for Sports Illustrated and The Athletic, and hosts the weekly podcast "The Business of Sports with Andrew Brandt" averaging over 20,000 listeners. His academic credentials include: JD (cum laude) from Georgetown University Law Center BA in American Studies from Stanford University Professor Brandt specializes in sports law and business, with research focusing on NFL contract negotiations , salary cap management , and the evolving landscape of Name, Image and Likeness (NIL) in college athletics. His work examines the intersection of legal frameworks and business operations within professional sports leagues, particularly analyzing how American sports models differ from European structures. His publications consistently address current industry trends including media rights valuation, franchise finance, and labor relations. Recent articles explore DraftKings partnerships, NFL expansion strategies, and the financial implications of the 18th regular-season game proposal. As Executive Director of the Moorad Center, he oversees nationally recognized events including the annual Moorad Symposium addressing controversial sports topics. He serves on Villanova's Professional Sports Counseling Panel advising student-athletes on agent selection and career development, and contributes to the University's Strategic Planning Committee for Athletics. The Moorad Center functions as both academic hub and industry nexus, hosting speakers from league offices, team management, and player representation firms while developing specialized curricula including four sports law courses.

Manuel Máiquez Gosálvezمشاهده پروفایل

استاد

• Sports Dentistry
• General Dentistry
• Restorative Dentistry
• +۴ مورد دیگر

Prof. Dr. Manuel Máiquez Gosálvez serves as Professor of Sports Dentistry at the Catholic University of San Antonio of Murcia (UCAM), Spain, within the Department of General Dentistry and Sports Dentistry. He maintains an active private dental practice in Murcia specializing in general, sports, restorative, endodontic, and prosthetic rehabilitation dentistry. His academic credentials include a Graduate in Dentistry and Doctor of Dentistry from the University of Murcia, Spain, and a Master di II Livello in Sports Dentistry from the University "G. d'Annunzio" of Chieti-Pescara, Italy. Dr. Máiquez Gosálvez's research centers on Sports Dentistry with emphasis on athlete-specific oral health, dental occlusion-posture relationships, and specialized sports mouthguard development. His work spans diverse athletic populations including rowers, volleyball players, military parachutists, and eSports gamers, addressing critical issues like dental trauma prevention, bruxism in digital athletes, and epidemiological patterns of oral pain. Analysis of his 2015-2022 publications reveals a dominant focus on sports dentistry applications, particularly in rowing (6 epidemiological studies across multiple languages) and emerging fields like eSports dentistry. His research consistently examines oral health conditions, self-reported pain, and biomechanical relationships between dental occlusion and posture, while maintaining foundational interests in bone regeneration as demonstrated by his 2015 canine study on flavonoid-induced osteogenesis. Professional recognitions include: FIFA Diploma in Football Medicine Expert certification in endodontics and restorative dentistry from San Pablo CEU Business School Dr. Máiquez Gosálvez holds significant leadership positions including President of the Spanish Society of Sports Dentistry (SEOD), Vice-President of the Spanish Society for the Study of Dental Materials (SEMO), and President of the Scientific Committee of the Official College of Dentists of the Region of Murcia. He actively contributes to dental education through textbooks including the "Dental Pathology Handbook" (2019) and "Dental Pathology Booklet" (2020), while serving on the Governing Board of the Murcian Dental College and maintaining membership in international societies like the Italian Society of Sports Dentistry (SIOS).

• Tensor Methods
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Kim Batselier is an Associate Professor at Delft University of Technology, affiliated with the Delft Center for Systems and Control. He earned his Master’s and Ph.D. in Electrical Engineering from KU Leuven, Belgium, under the supervision of Prof. dr. ir. Bart De Moor. Prior to his current role, he worked at BioRICS (2005–2009) on real-time monitoring algorithms for AC Milan football players and was a Post-doctoral Research Fellow at the University of Hong Kong (2013–2018). Education: Master’s and Ph.D. in Electrical Engineering, KU Leuven Previous Affiliations: BioRICS, University of Hong Kong His research focuses on innovative tensor methods for high-dimensional data problems in signal processing, machine learning, system identification, and control. Notable contributions include a tensor network-based MIMO Volterra model estimator (achieving 10 million coefficient estimation in 1 second with 5% relative error), Tensor Network Kalman filters, polynomial classifiers for image processing, and tensor decomposition algorithms for nonlinear system identification. All implementations are open-source. Kim is also passionate about education and science popularization , emphasizing accessible dissemination of engineering concepts.

Shuai Jinمشاهده پروفایل

دانشیار

• Chinese Politics
• Economic Inequality and Redistribution
• Public Opinion
• +۲ مورد دیگر

Shuai Jin serves as Associate Professor in the Department of Political Science at the University of Massachusetts Boston, where she researches political consequences of economic inequality, Chinese politics, public opinion, and quantitative methodologies. Her work integrates empirical fieldwork with advanced statistical techniques to analyze authoritarian resilience and inequality perceptions. Her academic credentials include: PhD, University of Iowa, 2017 MPhil, Chinese University of Hong Kong, 2012 MA, Hong Kong University of Science and Technology, 2010 BA, Fudan University, 2009 Professor Jin's research centers on Chinese political dynamics, particularly how citizens perceive economic inequality and respond to state propaganda. She examines generational shifts in authoritarian attitudes, the relationship between inequality and political trust, and socioeconomic disparities among ethnic minorities. Her methodological expertise in event-history analysis, Bayesian statistics, and experimental design enables rigorous investigation of these topics through survey experiments conducted in China. Analysis of her publications reveals consistent thematic focus on Chinese public opinion regarding inequality and authoritarianism, with methodological contributions enhancing duration modeling techniques. Her work bridges comparative politics and quantitative methodology, demonstrating how statistical innovations advance understanding of political behavior in authoritarian contexts. As an active researcher, Professor Jin maintains an ongoing book project titled "The Politics of Economic Inequality in China" and continues fieldwork in China. While specific advising details are unlisted, her position entails graduate student mentorship, and her publication record in journals like Political Analysis and The China Quarterly reflects sustained scholarly impact.

Manfred Besnerمشاهده پروفایل

پژوهشگر

• Computer Science
• Mathematics
• Game Theory
• +۱ مورد دیگر

Dr. rer. nat. Manfred Besner is a researcher at Stuttgart University of Applied Sciences , focusing on game theory, mathematical economics, and algorithmic modeling. His work primarily explores cooperative game theory, with emphasis on the Shapley value, Harsanyi set, and weighted solutions for complex coalition structures. Research Trends : His publications (2024–2016) demonstrate systematic analysis of value allocation mechanisms in cooperative games, including: Shapley value extensions (per capita, weighted, proportional variants) Harsanyi support levels and dividend frameworks Polynomial-time algorithm development for hierarchical structures Impact assessment of boycotts and coalitional disruptions

Armelle Prigentمشاهده پروفایل

مدرس ارشد

• Adaptive content management
• User behavior modeling
• Recommendation engines
• +۷ مورد دیگر

Armelle Prigent is a Senior Lecturer at the University of La Rochelle, affiliated with the Computer Science, Image and Interaction Laboratory (L3I) and the National School of Video Games and Digital Interactive Media (ENJMIN). Appointed in 2005 after defending her doctoral thesis on testing real-time systems in avionics, she has held significant leadership positions including responsibility for the programming specialty of the Master's in Video Games and Digital Interactive Media (2006-2013) and deputy director of ENJMIN (2010-2013). Her research focuses on adaptive content management systems and user behavior modeling , with particular emphasis on developing formal models that represent user behaviors and enable dynamic adaptation of content. She investigates the balance between user freedom and maintaining quality user experiences across various interactive environments including websites, games, and mobile applications. Dr. Prigent's work addresses two main classes of approaches for analyzing behaviors and adapting content: learning-based and scripting-based methods. She has demonstrated that combining these approaches—particularly through modeling user profiles with clustering techniques for identifying typical user journeys—provides more effective solutions than either approach alone. Her research has practical applications in content management, interactive storytelling, mobile systems, and tourist information systems. Her technical contributions include work on verification of interactive scenarios using timed automata networks, development of the Unreal Adaptive Platform game prototype, and research on adaptive execution for ubiquitous gaming through the ANR PLUG project, which incorporated biometric sensors to adapt scenarios based on players' emotional states.

Boris Bankovمشاهده پروفایل

استادیار

• Web Development
• Gamification in Education
• Software Engineering
• +۷ مورد دیگر

Boris Bankov is a software developer and academic professional currently serving as an Assistant Professor at the Department of Informatics in the University of Economics - Varna. His work combines web development expertise with educational innovation. PhD in Informatics and Computer Science Deputy Director at Center for Electronic and Distance Learning Laureate of John Atanasoff Award (2022) His research interests focus on web development, gamification in education, and the intersection between game design principles and enterprise web applications. He has extensive experience working with technologies including PHP Laravel, MySQL, Bootstrap, and Unity/C# game development. Key publication areas include: Learning Management Systems in higher education, Gamification frameworks for educational environments, Responsive web design solutions, and NFT technology analysis. His work has been published in various academic forums since 2017. John Atanasoff Award of the President of Bulgaria (2022)

Marek Konefałمشاهده پروفایل

دانشیار

• Sports Science
• Football Analysis
• Kinematic Analysis
• +۴ مورد دیگر

Dr. Marek Konefał is an Associate Professor and Vice-Dean for Education at the Academy of Physical Education named after Polish Olympians in Wrocław, Poland. He serves in the Faculty of Physical Education and Sport within the Department of Sports Didactics. His academic career spans over a decade since joining the institution in 2013. Dr. Konefał teaches Professional Specialization in Football for Sports and Coaching majors, as well as research methodology for Doctoral School students. Dr. Konefał holds multiple academic qualifications in the field of physical education. His educational background includes: Master's and doctoral studies at the University of Physical Education in Wrocław Higher education degrees in physical education, care pedagogy, and recreation and tourism A qualifying course in Educational Organization and Management A postgraduate course in "Intellectual Property Management in Business" from Wrocław University of Science and Technology Dr. Konefał specializes in sports science with a focus on football performance analysis. His research concentrates on: Kinematic analysis of football gameplay Physical activity profiles and actions of football players Factors influencing sports results Bioclimatic conditions affecting football performance Relationships between individual dispositions, player effectiveness, and game outcomes Optimization of training processes through modeling performance factors His work bridges sports science with environmental physiology, particularly examining how climatic factors impact player performance. Dr. Konefał's recent publications demonstrate a strong focus on understanding football performance under varying environmental conditions, particularly heat stress. His research examines how climatic factors influence player physiology, technical execution, and match outcomes. A significant portion of his work analyzes the impact of environmental conditions on professional soccer players, including studies related to the 2022 Qatar World Cup and projections for future tournaments. His research methodology combines field observations with controlled environmental chamber testing to isolate specific physiological responses. While specific scientific awards are not explicitly mentioned in the available information, Dr. Konefał's research has received notable recognition: His findings on climatic conditions for the Qatar World Cup were discussed at the Polish National Football Team training camp ahead of the 2022 FIFA World Cup Author and co-author of over 100 scientific publications with total impact factor over 150 and more than 700 citations Dr. Konefał has secured significant research funding and demonstrates active mentorship: Principal investigator for a National Science Centre (NCN) grant on "The Impact of Predicted Climatic Conditions for the Qatar World Cup on Physiological, Biochemical, and Psychomotor Changes During Progressive Exercise in Soccer Players" Supervisor of the student scientific club "SKN Strefa Analiz Piłkarszych" (Football Analysis Zone) Regular consultations with students: Monday 12:30-14:00 and Wednesday 10:00-11:30 Dr. Konefał collaborates extensively across multiple institutions and research environments: Current intern at the Department of Climate Research, Polish Academy of Sciences in Warsaw Completed research internships at Charles University (Prague), University of Physical Education in Katowice, Department of Anthropology (Polish Academy of Sciences), StatSoft Polska, University of Gothenburg (Sweden), and University of Split (Croatia) Conducts coaching internships with professional clubs including Hannover 96, VfL Wolfsburg, and Bayer 04 Leverkusen in Germany

James Elderمشاهده پروفایل

استاد

• Computer Vision
• Human Vision
• Artificial Intelligence
• +۴ مورد دیگر

James Elder is a Professor at York University, holding a joint Lassonde School of Engineering/Faculty of Health Tier I Chair. He is affiliated with the Centre for Vision Research, the VISTA program, and the Centre for AI & Society. Electrical Engineering & Computer Science Psychology His research integrates computer vision and biological vision studies, focusing on developing algorithms through understanding human visual processing. Key areas include computer vision , 3D shape perception , and AI applications in urban mobility . He leads projects like AttentiveVision and Agile AI-Powered Robotics . Recent publications reveal critical differences between human and AI visual processing, including Monocular Depth Estimation and Shape Frequency Analysis studies. His work has been recognized with the Premier’s Research Excellence Award and Young Investigator Award from the Canadian Image Processing and Pattern Recognition Society. York Research Chair CFI Exceptional Opportunities Grant recipient ORF Research Excellence Grant recipient Professor Elder supervises graduate students including Maria Koshkina, Kumar Vaibhav Jha, and Nizwa Javed. His lab collaborates with institutions like Justus Liebig University Giessen and the Vector Institute for AI, with applications in hockey analytics and autonomous systems .

Mathias Hegeleمشاهده پروفایل

استاد

• Motor Learning
• Cognitive Neuroscience
• Error Prediction
• +۵ مورد دیگر

Mathias Hegele is a Professor at the Faculty of Psychology and Sports Science, Justus-Liebig Universität Gießen. His research focuses on motor learning, predictive error processing, and the neural mechanisms underlying human agency and sports performance. Project B6: Investigates predictive error perception in natural environments Project C5: Explores animate-inanimate distinctions in action and language perception His work combines neurophysiological methods with behavioral experiments, spanning studies on elite basketball players, schizophrenia patients, and general motor adaptation. Collaborators include Prof. Dr. Hermann Müller and Dr. Lisa Maurer. Recent publications analyze: Mechanisms of outcome prediction in sports Neural correlates of error valuation Agency perception in biological motion tracking Sensory signal integration in motor tasks He advises PhD students Theresa Brand and Lea Junge-Bornholt, with email contact mathias.hegele@sport.uni-giessen.de.

Son Luu Nguyenمشاهده پروفایل

استادیار

• Applied Probability
• Stochastic Dynamical Systems
• Stochastic Optimal Control
• +۳ مورد دیگر

Son Luu Nguyen is an Assistant Professor at the Department of Mathematics and Systems Engineering, College of Engineering and Science, Florida Institute of Technology. His research focuses on applied probability, stochastic dynamical systems, stochastic optimal control, mean-field games, computational methods for stochastic systems, and mathematical finance. Expertise: Applied Probability, Stochastic Dynamical Systems, Stochastic Optimal Control, Mean-Field Games, Computational Methods for Stochastic Systems, Mathematical Finance Contact: Email at snguyen@fit.edu | Office: 202C Crawford Building | Phone: (321) 674-8765 His recent publications (2025–2014) explore topics such as closed-loop equilibria in mean-field games, stability of hybrid diffusions, numerical methods for stochastic differential equations, and large-population control systems. Key trends include regime switching, mean-field interactions, and computational techniques for stochastic processes. Selected article subfields span Mean-Field Games, Stochastic Control, Markovian Switching, SIR Models, Numerical Solutions, and Hybrid Systems. His work bridges theoretical mathematics with applications in finance and systems engineering.

• Sports Science
• Physical Education
• Strength and Conditioning
• +۲ مورد دیگر

Carlos Ferrete Caceres is an Associate Professor in the Department of Sports and Computing at Universidad Pablo de Olavide. His academic focus lies within the area of Physical Education and Sport, and he is an active member of the research group 'RFYD Rendimiento Físico y Deportivo' (Physical and Sports Performance). His work is categorized under Social and Legal Sciences in the PAIDI research classification system. Education: He earned his Ph.D. from Universidad Pablo de Olavide in 2015 with a dissertation titled: Efecto del entrenamiento de fuerza, potencia y velocidad sobre las variables físicas y técnicas determinantes del rendimiento en jugadores de fútbol prepuberales y adolescentes (Effect of strength, power, and speed training on physical and technical variables determining performance in preadolescent and adolescent soccer players), supervised by Dr. Eduardo Sáez de Villarreal Sáez, Dr. Bernardo Requena, and Dr. Luis Jesús Suárez Moreno-Arrones. Research Focus: His interdisciplinary work bridges sports science and computing, with core investigations in: Optimizing athletic performance through strength/power training Youth soccer development methodologies Biomechanical analysis of sports techniques Data-driven approaches to physical education Long-term athlete development models Research Group: As a key contributor to the Physical and Sports Performance (RFYD) research group, he collaborates on projects investigating physiological and technical determinants of elite athletic achievement.

• Artificial Intelligence
• Interactive Digital Entertainment
• Narrative Planning
• +۳ مورد دیگر

Arnav Jhala is an Adjunct Associate Professor in Engineering Graduate and Professional Programs at Duke University , with a research focus on Artificial Intelligence , Narrative Planning , and Interactive Digital Entertainment . He holds an A.B. from Gujarat University (India) (2001), M.S. (2004), and Ph.D. (2009) from North Carolina State University . Research Interests: AI-driven narrative systems, computational creativity, camera control in games, and interdisciplinary applications of AI in education and health. Notable Contributions: Pioneering work in procedural narrative generation, affective game design, and visual analytics for storytelling. Recent Publications: Focus on reward shaping for autonomous agents, collaborative creative systems, and urban space perception analysis. His collaborations span institutions like Duke University, North Carolina State University, and industry partners in game development. Current work explores real-time strategy game AI, narrative comprehension models, and adaptive educational technologies.

Luis Miguel Hernández Acostaمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Computer Vision
• +۳ مورد دیگر

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

Tzvetan Jeljazkovمشاهده پروفایل

استاد

• Sport Training Theory
• Optimization of Athletic Performance
• Conditional Training
• +۳ مورد دیگر

Prof. Tzvetan Jeljazkov is a distinguished Professor at the Department of Theory of Sport Training within the Faculty of Sport at National Sports Academy 'Vasil Levski' in Sofia, Bulgaria. Born on December 24, 1930, in Raianovtsi, Bulgaria, he graduated with excellence from the same academy in 1953. His career spans roles as a basketball coach (1953-1967), academic (since 1967), and sports administrator including Vice Minister of Sports (1995-1997). His research focuses on Sport Training Theory , Optimization of Athletic Performance , Conditional Training , Sports Adaptation , Basketball Coaching Methodology , and Mathematical Modeling in Sports . He has published over 200 works including 26 monographs, with 40 translated internationally, applying statistical methods to optimize elite athlete training. Recent publications (1997-2009) demonstrate his focus on sports training theory, athletic adaptation, and performance optimization. Key themes include physiological conditioning, methodological frameworks for elite athletes, biosocial aspects of sports achievement, and periodization strategies across endurance, basketball, and foundational training disciplines. Honored Basketball Coach (1961) Honorable Symbol of Sofia – 1st Degree (1958) Gold Medal of Labor (1972, 1988) Kiril and Methodii – 2nd Degree (1980) Kiril and Metodii – 1st Degree (2011) 1300 Years of Bulgaria – Jubilee Medal (1981) Gold Medal for Special Merits – 1st Degree (1983) Honored Figure (1983) Man of the Year by American Biographical Institute (2004) Meritorius Professor, University of Zagreb (2009) He advises doctoral candidates at NSA and directed scientific programs for Bulgarian Olympic teams (1964-1996). As Dean of After-Graduate Qualification (1976-1979) and department head (1973-1982), he established academic frameworks for sport methodology. He continues to lecture on sport training theory to all academic levels.