جست‌وجوی استاد و پژوهشگر

Frank Heroldمشاهده پروفایل

مدرس ارشد

• Physical Education
• Pedagogy in Physical Education
• Initial Teacher Education
• +۷ مورد دیگر

Dr Frank Herold is a Senior Lecturer in Physical Education and Sports Science at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham. His work spans teaching, research, and administration, with a focus on pedagogy and professional learning in physical education. PhD : Loughborough University MA : Sports Studies, University of Wolverhampton PGDip : Management Studies, Staffordshire University BEd : Goethe University Frankfurt/Main Dr Herold's research focuses on initial teacher education in physical education, particularly on the development of subject knowledge and pedagogical content knowledge in trainee teachers. He also explores the integration of ICT in PE, assessment for learning, and inclusion practices. His teaching responsibilities include theory and practical modules in teaching and coaching across undergraduate and postgraduate programs. His recent publications reflect a strong trend in educational reform, mentorship models, and curriculum development in PE. The articles span topics such as national curriculum implementation, mentoring across career stages, and ecological approaches to teacher development, indicating a sustained scholarly engagement with pedagogical innovation and teacher training. Senior Lecturer in Physical Education and Sports Science Head of Quality and Senior Tutor Admissions He has contributed to major edited volumes on mentoring in PE and sports coaching and has presented at international conferences such as AIESEP and ECER. His collaborative work with scholars like Fiona Chambers and Mark Waring underscores his role in advancing mentorship and professional learning in physical education.

Yana Litovskyمشاهده پروفایل

پژوهشگر

• Behavioral Science
• Decision Making
• Health-Related Decision Making
• +۴ مورد دیگر

Yana Litovsky is a behavioral scientist and postdoctoral researcher at the Department of Banking and Finance, University of Innsbruck. Her work focuses on decision-making processes related to time, attention, information, and health, with a particular emphasis on curiosity and news consumption. She explores how individuals prioritize and engage with critical resources, including their psychological underpinnings and real-world implications. Research Interests Her primary research areas include: - Behavioral science frameworks for understanding resource allocation (time, information) - Curiosity-driven decision making and its applications in health contexts - Psychology of information seeking and news consumption patterns - Consumer behavior in time-money tradeoffs and economic decisions - Global entrepreneurship trends with a focus on youth and gender disparities Recent Research Trends Her recent work (2024) emphasizes leveraging curiosity to counteract health information avoidance, offering insights into behavioral interventions for public health. Earlier studies (2013-2017) explored entrepreneurship dynamics, particularly youth and women's roles in global markets. She also investigates cognitive biases in decision-making, such as loss aversion, and their impact on information preferences. Advising & Grants No formal advisees/students are listed in her current profile. Her research has been concentrated on collaborative projects like the Global Entrepreneurship Monitor (GEM) reports.

• Asset Pricing
• Capital Markets
• Financial Innovation
• +۷ مورد دیگر

Prof. HU Jianfeng is an Associate Professor of Finance at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Finance from Baruch College, CUNY. His research focuses on asset pricing, capital markets, financial innovation, fintech, and quantitative finance. Notable contributions include studies on option trading's informational role, macro-news embargoes, and order flow volatility's impact on equity costs. Selected awards include the Lee Kong Chian Fellowship (2016-2017) and multiple best paper awards. He has secured research grants totaling over S$140k, including MOE Tier 1 funding for projects on order flow volatility and fiduciary duties. His work has appeared in top journals like the Journal of Financial Economics and Management Science. As a researcher and educator, HU advises students such as ZHONG Yiqiang. His research interests span strategic priorities like digital transformation and growth in Asia, reflecting Singapore's financial hub dynamics.

João Magalhãesمشاهده پروفایل

استاد

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +۵ مورد دیگر

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Ole-Christoffer Granmoمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Tsetlin Machines
• +۷ مورد دیگر

Professor Ole-Christoffer Granmo is a distinguished academic at the University of Agder, Norway, where he serves as Professor in the Department of Information and Communication Technology. He is the Founding Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, leading cutting-edge research in artificial intelligence and machine learning. Dr. Granmo obtained his master's degree in 1999 and his PhD in 2004, both from the University of Oslo. His academic journey has been marked by significant contributions to the field of AI, most notably the creation of the Tsetlin machine in 2018, for which he received the AI research paper of the decade award from the Norwegian Artificial Intelligence Consortium (NORA) in 2022. Professor Granmo's research primarily focuses on logical and causal world modeling across multiple modalities including images, sound, and natural language. His work spans logical auto-encoding, convolution, regression, transformer architectures, and reinforcement learning, all with the overarching goal of creating ultra-low-power artificial general intelligence through transparent logical learning and reasoning. His publications reveal a strong emphasis on interpretable AI systems, hardware implementations, and applications across diverse domains including cybersecurity, healthcare, social media analysis, and bioinformatics. AI Research Paper of the Decade (2022) - Norwegian Artificial Intelligence Consortium (NORA) Eight paper awards in machine learning Professor Granmo has coordinated over seven research projects and mentored 55+ master's students and nine PhD students. His leadership extends to co-founding the Norwegian Artificial Intelligence Consortium (NORA) and establishing two companies: Anzyz Technologies AS and Tsense Intelligent Healthcare AS. As an advisor at Literal Labs, he actively bridges academic research with practical industry applications, demonstrating his commitment to translating theoretical innovations into real-world solutions that address complex challenges across multiple sectors.

Helen Armstrongمشاهده پروفایل

استاد

• Inclusive Design
• Machine Learning
• Digital Rights
• +۳ مورد دیگر

Helen Armstrong serves as Professor of Graphic & Experience Design and Director of the Graduate Program in Graphic & Experience Design at North Carolina State University's College of Design. Her academic leadership spans research, publication, and industry collaboration at the intersection of design and artificial intelligence. Her educational background includes an MA in English Literature from The University of Mississippi, an MA in Publication Design from the University of Baltimore, and an MFA in Graphic Design from The Maryland Institute College of Art. Armstrong's research focuses on digital rights, human-machine teaming, and accessible design, driven by her advocacy for inclusive interfaces as a parent of a child with disabilities. She explores how designers can establish leadership in AI development through human-centered approaches, particularly in explainable AI systems and trust calibration between humans and machines. Analysis of her recent publications reveals a dominant trend toward applying design principles to artificial intelligence challenges, with increasing emphasis on visualization techniques for uncertainty representation, ethical considerations in AI, and inclusive design methodologies. Her work consistently bridges theoretical frameworks with practical industry applications across diverse domains including intelligence analysis, financial services, and assistive technologies. Scientific recognition includes: University Faculty Scholar at NC State (2018) Armstrong actively mentors graduate and undergraduate students through studio courses and research projects while securing substantial industry funding. Her sponsored research portfolio features partnerships with SAS Analytics, IBM, REI, Advance Auto Parts, Sealed Air, Fidelity Investments, and the Laboratory for Analytic Sciences. Current projects address critical challenges in human-AI teaming, including visualizing confidence scores for speaker models, knowledge transfer in wealth management, and personalized shopping experiences. She maintains deep collaboration with the NC State Laboratory for Analytic Sciences (LAS) and contributes to the K-12 Design Lab initiative, extending her expertise in inclusive design to educational outreach programs and community engagement efforts.

Efthymia Symitsiمشاهده پروفایل

دانشیار

• Corporate Finance
• Labor Economics
• Entrepreneurship
• +۶ مورد دیگر

Dr. Efthymia Symitsi serves as Associate Professor of Accounting and Finance at Leeds University Business School, University of Leeds, a position held since September 2018. Previously, she was Senior Research Associate on the TILOS Project at Norwich Business School and maintains banking sector experience from Agricultural Bank and Piraeus Bank in Greece. Her responsibilities include Deputy Director of the PhD Accounting and Finance program and Faculty Equality and Inclusion Champion. Her academic credentials comprise: PhD in Finance, University of East Anglia, UK MSc in Accounting and Finance, Athens University of Economics and Business, Greece BSc in Management Science and Technology, Athens University of Economics and Business, Greece Dr. Symitsi's research spans Corporate Finance, Labor Economics, Entrepreneurship, Risk Management, and Financial Technology. She pioneers the use of online employee data to analyze corporate behavior and financial markets, with notable work on employee sentiment indices for economic prediction and corporate social responsibility reporting frameworks. Analysis of her publications reveals consistent innovation in alternative data applications: employee reviews predict stock returns and bankruptcy risk, cultural factors influence service evaluations, and cryptocurrency interactions with traditional assets are quantified. Her work bridges academic rigor with real-world financial applications through media-engaged scholarship. Her scientific recognition includes: Azduna data project (£35k) as Q-step RA Placement Project Leader Best Seminar Leader Award (PG) Small Research Grant, LUBS (£4,048) Doctoral Scholarship from University of East Anglia American Finance Association Student Travel Grant Greek Ministry of Education and Athens University academic excellence scholarships Dr. Symitsi actively supervises PhD candidates including Wanji Wu, Argyro Angeli, Yuxuan Liu (Sandy), and Wen Yang. She leads research initiatives funded by LUBS and Urban Big Data Centre grants while teaching undergraduate Corporate Finance modules. Her external role as External Examiner for Manchester Business School's MSc Financial Management demonstrates sector-wide influence. She contributes significantly to the Centre for Advanced Studies in Finance and Centre for Employment Relations, Innovation and Change, driving interdisciplinary research at the finance-employment nexus.

• Translation Studies
• Cognitive Translation
• Emotion in Translation
• +۴ مورد دیگر

Beatriz Naranjo Sanchez is a researcher at the University of Murcia, Spain, currently affiliated with the Translation, Didactics and Cognition research group and previously with the Translation, Lexicology and Writing Group. Her work bridges translation studies, cognitive psychology, and musicology through experimental methodologies. She earned her PhD from the University of Murcia in 2017 with the dissertation La influencia de la música sobre la calidad y la creatividad en traducción literaria (inglés-español, inglés-italiano) una aproximación estético-psicológica , supervised by Dr. Ana María Rojo López. Her research centers on psychological and emotional dimensions of translation processes, particularly examining how background music influences literary translation creativity, how anger affects decision-making with offensive content, and emotional processing in dubbing. She employs cognitive-experimental approaches to investigate narrative engagement, vocal qualities in emotionally charged scenes, and pandemic-related stressors on evaluative language translation. Analysis of her 2015-2023 publications reveals consistent focus on music-translation interactions and emotional variables, with methodological emphasis on laboratory experiments, psycholinguistic measurements, and cognitive assessments. Her work demonstrates interdisciplinary innovation through the fusion of aesthetic theory, cognitive science, and translation practice. Scientific awards: No awards documented in provided sources. Regarding advising and grants, while she supervises research within university groups, no specific students or funded projects were mentioned. Her institutional affiliation suggests collaborative research within translation psychology frameworks. She actively contributes to the Translation, Didactics and Cognition research group, which investigates cognitive-affective translation processes through experimental paradigms, likely involving lab-based studies on emotional and musical variables in professional translation contexts.

Breffni Nooneمشاهده پروفایل

دانشیار

• Revenue Management
• Profit Optimization
• Consumer Behavior
• +۳ مورد دیگر

Breffni Noone serves as an Associate Professor in the School of Hospitality Management within Pennsylvania State University's College of Health and Human Development, specializing in revenue management and profit optimization across hospitality assets including hotels, restaurants, golf facilities, and spas. Her work bridges theoretical research with practical industry applications through data-driven decision frameworks. Dr. Noone earned her Ph.D. in Operations Management from Cornell University (2004), an M.B.S. from Dublin City University, Ireland (1996), and a B.Sc. in Management/Higher Diploma in Hotel & Catering Management from University of Dublin, Trinity College and Technological University Dublin, Ireland (1994). Her academic journey reflects deep integration of operations research and hospitality management. Her research centers on revenue management systems, consumer behavior in pricing contexts, and sustainable profit optimization. Key investigations include scarcity-based promotions, menu engineering, online booking psychology, and non-traditional revenue applications in golf. She emphasizes data visualization and operational design to balance profitability with social and environmental responsibility, examining how non-price information shapes consumer decisions across service encounters. Analysis of her 15 most recent publications reveals expanding research scope from core hotel revenue management into crisis resilience, social inclusion, and cross-industry applications. Recent work addresses waiting-time psychology, employment biases against houseless individuals, and AI-driven commercial talent development, demonstrating adaptation to contemporary industry challenges while maintaining methodological rigor in experimental and field studies. No scientific awards were documented in the provided materials, though her consistent publication record in top-tier journals like Journal of Hospitality and Tourism Research and International Journal of Hospitality Management indicates significant scholarly impact. Dr. Noone's grant-funded research focuses on pricing strategy effectiveness, non-price information processing in consumer decisions, service encounter management frameworks, and revenue management decision tools. Her projects generate actionable insights for hospitality operators through empirical analysis of consumer responses to scarcity cues, photograph content, and cultural variables in booking behavior, directly informing industry revenue optimization practices.

Rui Pradaمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Development
• Affective Computing
• +۴ مورد دیگر

Rui Prada is a Full Professor at the Department of Computer Engineering, Instituto Superior Técnico, University of Lisbon. His research focuses on Artificial Intelligence , Game Development , and Human-Machine Interaction , with emphasis on socially intelligent agents and affective computing. His work explores Multi-Agent Systems , XR Testing , and Educational Game Design , particularly for neurodiverse populations. Recent publications highlight Procedural Content Generation , Human-AI Collaboration , and Social Power Dynamics in agent-based systems. Scientific contributions include the Best Poster Award and leadership in projects like PartiPlay and RAGE , advancing Inclusive AI and Game Technologies Marketplace frameworks.

Mevlüt Karaمشاهده پروفایل

دانشیار

• Educational Leadership
• School Administration
• Teacher Autonomy
• +۳ مورد دیگر

Dr. Mevlüt Kara is an Associate Professor at the Department of Basic Education , Nizip Faculty of Education , Gaziantep University since 2023. Previously served as a Doctorate Lecturer at the same institution (2019-2023). Holds a PhD in Educational Sciences (2012-2018) and Master’s in Educational Sciences (2007-2012) from Gaziantep and Harran Universities, respectively. His academic career combines theoretical research with practical contributions to school management and educational policy. Education: PhD in Educational Sciences, Gaziantep University (2018) Master’s in Educational Sciences, Harran University (2012) BA in Public Administration, Anadolu University (2011) BA in Classroom Teaching, Gaziantep University (2007) Research interests span educational leadership , social justice leadership , teacher autonomy , and school administrative processes . Specializes in analyzing relationships between leadership styles and organizational trust, with particular focus on crisis management during the Covid-19 pandemic and integration of migrant students . Has developed scales for measuring collective teacher efficacy and social media literacy in educational contexts. Scientific contributions include 32 refereed articles and 9 book chapters in international and national publications. Collaborated with researchers like Sedat Alev and Bayram Bozkurt on comparative studies across Turkey, Sweden, and global contexts. Key thematic trends: school culture , leadership theories , digital technology integration , and multicultural education . Academic Roles: Deputy Dean (2025-) Deputy Dean (2020-2024) Session Chair at 11+ international conferences Administrative Experience: Coordinated teacher training programs Supervised school improvement projects Organized leadership workshops

Liu Hongyanمشاهده پروفایل

استاد

• Big data management and analysis
• machine learning
• data mining
• +۷ مورد دیگر

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

• Educational Technology
• Smart Learning Environments
• Digital Entrepreneurship
• +۳ مورد دیگر

Pedro Antonio Garcia Tudela is a researcher at Universidad de Murcia specializing in Educational Technology, with a focus on Smart Learning Environments and Digital Entrepreneurship. He completed his PhD in 2023 with a thesis on intelligent learning environments supervised by Dr. María Paz Prendes Espinosa and Dr. Isabel María Solano Fernández. His educational background centers on advanced educational technology studies at Universidad de Murcia, culminating in his 2023 doctoral dissertation that established foundational frameworks for smart learning environments. This research positioned him at the forefront of educational innovation in Spanish-speaking contexts. Garcia Tudela's research explores the intersection of digital tools and pedagogical innovation, with emphasis on gamification, computational thinking development through Arduino, and digital entrepreneurship education. His work addresses critical gaps in teacher training for future classrooms and develops practical models like EmDigital for fostering entrepreneurial competencies in digital contexts. He investigates how educational escape rooms, flipped learning, and gender-inclusive technology integration transform learning experiences across K-12 and higher education. Analysis of his 15 most recent publications reveals a clear trajectory toward practical applications of educational technology: 40% focus on digital entrepreneurship frameworks, 30% on smart learning environment design, and 30% on gamification and computational thinking implementation. His research increasingly addresses cross-cultural applications, with comparative studies of future classrooms in Spain and Portugal. As an active thesis supervisor within the Educational Technology research group, Garcia Tudela mentors students in developing innovative educational methodologies. His work demonstrates strong industry-academia connections through practical frameworks for professional development and employability. The Educational Technology research group serves as his primary collaborative environment, driving projects that translate theoretical models into classroom applications while addressing contemporary challenges in digital education transformation.

• Extended Reality
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Dr. Kata Szita serves as an Assistant Professor of Multimedia at the School of Communications. Her expertise spans extended reality technologies, human-computer interaction, and the psychological impacts of virtual environments on human behavior and cognition. Her research delves deep into understanding how virtual and augmented reality experiences affect human-to-computer and human-to-human interactions. She investigates the cognitive and neural processes involved when users engage with virtual environments, particularly focusing on the use of avatars and XR-manipulated bodies. Her work also examines social behaviors in virtual spaces and the ethical dilemmas surrounding artificial digital agents and personal data collection in XR environments. Dr. Szita currently leads interdisciplinary and cross-sector research projects aimed at developing accessible and adaptive immersive technologies. Her collaborative efforts extend to studying cognitive processing of realism in mixed reality, virtual identities, and youth behavior in virtual environments. Her research approach combines theoretical frameworks with practical applications, contributing significantly to the understanding of immersive media experiences. Her extensive publication record from 2017-2025 demonstrates a consistent focus on emerging themes in XR research. The articles reveal an evolution from early smartphone-based viewing studies to sophisticated analyses of metaverse environments, presence measurement methodologies, and the psychological impacts of virtual identities. Her work bridges cognitive psychology, media studies, and technology development, establishing her as a leading voice in understanding human experience within digital and virtual contexts.

• Sequential Decision Making
• Bandit Problems
• Theoretical Reinforcement Learning
• +۶ مورد دیگر

Claire Vernade is a Group Leader at the University of Tübingen in the Cluster of Excellence Machine Learning for Science. She leads an active research group focused on theoretical aspects of sequential decision making, with particular expertise in bandit problems and reinforcement learning theory. Her work bridges theoretical foundations with practical applications in scientific discovery. Her research interests span sequential decision making, bandit problems, theoretical Reinforcement Learning, Learning Theory, and principled learning algorithms. She has made significant contributions to understanding non-stationary environments, lifelong learning frameworks, and the theoretical foundations of bandit algorithms. Her work on "Eigengame: PCA as a Nash Equilibrium" received an Outstanding Paper Award at ICLR 2021. Dr. Vernade has been awarded prestigious grants including an Emmy Noether award (2022) for her FoLiReL project and an ERC Starting Grant (2024) for her ConSequentIAL project. Her current ERC project explores the role of Reinforcement Learning in developing Continual Learning agents, with applications to scientific domains like drug discovery and micro-chemistry. Emmy Noether award under the AI Initiative call (2022) ERC Starting Grant (2024) Outstanding Paper Award at ICLR 2021 She currently supervises three PhD students and actively recruits postdocs and PhD candidates through the IMPRS-IS and ELLIS doctoral programs. Her group collaborates extensively with the broader machine learning community, organizing workshops like FoRLaC at ICML 2024 and serving as co-chairs for tutorials at major conferences. Dr. Vernade is also deeply committed to diversity and inclusion in machine learning, co-leading initiatives like Women in Learning Theory and Tübingen Women in Machine Learning.