جست‌وجوی استاد و پژوهشگر

• Quantitative Finance
• Asset Pricing
• Financial Engineering
• +۳ مورد دیگر

Lorenz Schneider is a Professor of Finance at EM Lyon Business School in Lyon, France. His research focuses on quantitative finance, particularly asset distributions via maximum entropy techniques, multi-factor commodity futures models, and stochastic volatility. He holds a Ph.D. in Mathematics from Paris VI Pierre et Marie Curie University (1995–2001). Prior to academia, he worked as a Quantitative Analyst for Dresdner Kleinwort (2004–2009), specializing in commodity and hybrid derivatives. Schneider teaches courses on probability theory, commodity markets, and C++ numerical techniques. His work bridges mathematical rigor and practical finance applications, with notable contributions to energy market modeling and fair value accounting. Education: Ph.D. in Mathematics (2001), Paris VI Pierre et Marie Curie University Master’s in Mathematics (1997), University of Erlangen, Germany Bachelor’s in Mathematics (1995), Università degli Studi di Bologna, Italy Research Interests: Schneider’s research emphasizes quantitative methods in finance, including entropy-based techniques, multi-factor commodity models, and volatility analysis. He explores applications in energy markets, derivatives pricing, and financial engineering. His work on seasonal volatility in agriculture and Samuelson effects in crude oil markets demonstrates his expertise in empirical financial modeling. Grants/Advising: While specific grants are not detailed, his academic role suggests involvement in research funding. No advised students are listed in the provided texts.

Aşkın Demirağمشاهده پروفایل

دانشیار

• Database Management
• Data Mining
• Software Project Management
• +۷ مورد دیگر

Aşkın Demirağ is an Associate Professor at the Department of Information Systems and Technologies, Faculty of Business Sciences at Yeditepe University. He has held academic positions since 2001, including Department Chair and Dean’s Assistant. His research focuses on database management, software methodologies, neuromarketing, and digital transformation. He has supervised over 15 master’s theses and published extensively in international journals. Education: PhD in Information Systems, Marmara University (2004-2011) Master's (Non-Thesis) in Business Administration, Yeditepe University (2002-2004) Bachelor's in Labor Economics, Anadolu University (1993-1999) Research Interests: Combines technical expertise with social analysis, exploring topics like Agile vs. Waterfall software development, neuromarketing's impact on consumer behavior, and ethical challenges in social media surveillance. His work bridges information systems and societal implications of technology. Recent Article Trends: Focus on practical applications of technology in business (e.g., fraud detection, cloud BI solutions) and societal impacts (e.g., elderly media usage, selfie culture). His studies often blend empirical data with theoretical frameworks like panoptic surveillance theory. Awards: Best Presentation Award, University of Minnesota (2014) Administrative Roles: Bologna Coordinator (2011), Department Chair (2015-2020), and Dean’s Assistant (2021). Active in curriculum development and academic policy-making. Labs/Teams: Leads research groups on data mining applications and digital transformation strategies in higher education.

Megha Quamaraمشاهده پروفایل

پژوهشگر

• Dependable systems engineering
• Safe AI
• Cybersecurity
• +۴ مورد دیگر

Dr. Megha Quamara is a Research Associate in the Department of Informatics at King's College London within the Faculty of Natural, Mathematical & Engineering Sciences. She actively contributes to the Horizon EU-funded SERMAS project under Prof. Luca Vigano's research group, focusing on security analysis of socio-technical systems integrating Extended Reality (XR) and human users. Her educational background includes a PhD in Computer Science and Telecommunications from University of Toulouse III – Paul Sabatier (2019-2022), a Master of Technology in Cyber Security from National Institute of Technology Kurukshetra (2016-2018), and a Bachelor of Technology in Computer Science and Engineering (2011-2015). Research interests center on Dependable systems engineering, Safe AI, Cybersecurity, and Formal methods with specialized applications in XR systems. Her work emphasizes formal-based automated tools for security analysis, user interaction modeling, and modular architecture design to address safety-security interplay in human-technology systems. Recent publications (2024-2025) reveal a cohesive research trajectory in Extended Reality, examining social acceptance of XR agents, multi-modal behavior analysis, formal security verification of identification protocols, and modular system architectures. These studies collectively advance secure and user-centric XR deployment through interdisciplinary methodologies. No scientific awards were documented in the provided materials. Megha serves as Deputy Secretary of IEEE ComSoc's Women in Communications Engineering committee, promoting STEM diversity. Her grant involvement includes the Horizon EU SERMAS project and a Defence Research and Development Organization (DRDO) initiative during her master's. No advisees are listed in current records. She operates within Prof. Luca Vigano's research group at King's College London, collaborating on the SERMAS project to establish foundational frameworks for next-generation XR systems through empirical studies and formal modeling approaches.

Ashwin Malsheمشاهده پروفایل

دانشیار

• Social Media Marketing
• Marketing-Finance Interface
• Consumer Behavior
• +۴ مورد دیگر

Ashwin Malshe, Ph.D., is an Associate Professor of Marketing at The University of Texas at San Antonio (UTSA), affiliated with the Carlos Alvarez College of Business. He joined UTSA in 2016 after serving as an Assistant Professor at ESSEC Business School (Paris-Singapore) and has been a Visiting Professor at Mannheim Business School (Germany) since 2013. His research focuses on the intersection of marketing strategy, finance, and consumer behavior, particularly analyzing how marketing actions impact financial markets and consumer decision-making. He holds a Ph.D. in Marketing from SUNY Binghamton, with minors in Econometrics, and undergraduate/masters degrees from Mumbai University, India. Dr. Malshe’s research interests include social media marketing, the marketing-finance interface, and consumer behavior analysis. He teaches courses in social media marketing, marketing analytics, and data visualization, and is a core faculty member for UTSA’s M.S. in Data Analytics program. His work has been published in top-tier journals like the Journal of Marketing and Journal of Consumer Psychology , with a focus on topics ranging from ESG impact on firm value to verified reviews’ sales effects. His research trends emphasize quantitative analysis of marketing strategies’ financial implications, leveraging big data and social media metrics. He also writes the blog Micro-Positioning , sharing insights on social media analytics. While no formal awards are listed, his prolific publication record reflects significant academic contributions. He has advised several students and contributes to peer review for journals like Journal of Marketing and Financial Review . Dr. Malshe’s interdisciplinary work bridges marketing and finance, with notable studies on how consumer satisfaction drives stock market reactions and the role of ESG factors in risk mitigation. He actively engages in educational initiatives like the Generation AI Curriculum for community colleges, promoting DS/AI accessibility.

• Computational Phonology
• Probabilistic Grammars
• Code-Mixing and Code-Switching
• +۶ مورد دیگر

Kie Ross Zuraw is a Professor and Vice Chair of Undergraduate Studies in the UCLA Department of Linguistics. Her research focuses on computational phonology, probabilistic grammars, and the interplay between phonological grammar and processing. She actively studies code-mixing, loanword adaptation, and linguistic patterns in Austronesian languages like Tagalog, as well as Korean and French. Dr. Zuraw has advised numerous PhD students and contributed to software tools like maxent.ot for phonological analysis. She teaches advanced courses in phonology, sociolinguistics, and pedagogical practices, emphasizing inclusive teaching methods. Her work bridges theoretical linguistics with empirical research, integrating corpus analysis and experimental methodologies.

Susan Williamsمشاهده پروفایل

استاد

• Sociotechnical Change
• Digital Workplace Design
• Collaboration Technologies
• +۵ مورد دیگر

Prof. Susan Williams is a Professor of Social Informatics at the University of Koblenz’s Institute for IS Research, leading the Enterprise Information Management Research Group. She is a founder of the Center for Enterprise Information Research (CEIR) and has held visiting professorships at the University of Technology Sydney and the University of Sydney. Her work focuses on sociotechnical change, digital workplace design, and collaborative technology scaling. Williams has extensive industry collaborations, including the University Competence Center for Collaboration Technologies (UCT) and IndustryConnect. She has been funded by the German Research Foundation (DFG), Australian Research Council (ARC), EU, and others. Her research employs digital ethnography and trace analytics to study distributed work practices. She will retire in September 2025 and no longer accepts thesis students. Education and Previous Institutions: University of Sheffield (The Information School), University of Technology Sydney (Faculty of IT), University of New South Wales (School of Information Systems), and others. Awards: None explicitly listed. Grants: DFG, ARC, EU, UK ESRC, HEFCE, HCL Germany, BT, and Australian Government agencies. Labs/Teams: Enterprise Information Management Research Group, UCT, and IndustryConnect. Research Interests: Sociotechnical change, trace ethnography, digital workplace design, collaboration technology scaling, and documentary practices. Her work emphasizes human-centered design and participatory methods. Publications: Over 70 articles focus on enterprise collaboration systems, digital trace analysis, and sociotechnical change. Recent work addresses post-pandemic work patterns and remote collaboration tools.

• Software Engineering
• Distributed Systems
• Cloud Computing
• +۴ مورد دیگر

UnivProf. Dr. Jens Grabowski is a full professor at the Institute of Computer Science at Georg-August-Universität Göttingen, leading the Software Engineering for Distributed Systems group. His primary roles include teaching advanced courses on software engineering, software testing, and parallel computing, as well as supervising practical internships in these domains. His research focuses on software engineering methodologies, cloud computing architectures, static analysis tools, and model-driven approaches to system design. Education details are not explicitly listed, but his academic position implies a PhD in Computer Science. His work spans both theoretical contributions (e.g., defect prediction models, developer behavior studies) and applied systems (e.g., cloud resource management frameworks, testing tool development). He is actively involved in open-source software research, particularly analyzing Apache projects and Python ecosystems. Key research themes include: Model-driven cloud orchestration using standards like TOSCA and OCCI Static analysis tool evaluation and warning management Empirical studies on software evolution and developer practices Simulation-based approaches for system validation His recent publications (2021-2025) demonstrate sustained contributions to cloud computing infrastructure, static analysis tool efficacy, and software testing methodologies. Notable frameworks developed include MoDMaCAO for cloud application management and the SmartShark ecosystem for mining software repositories. Grants and advising activities are not explicitly detailed in the provided texts, but his leadership in multiple research groups implies significant involvement in academic funding and PhD supervision. He maintains collaborations in distributed systems, cloud computing, and software engineering education.

Dennis Schlegelمشاهده پروفایل

استاد

• Digital Transformation
• Project Management
• Business Consulting
• +۵ مورد دیگر

Prof. Dr. Dennis Schlegel is a Professor of Business Informatics at the Faculty of Informatics (Fakultät Informatik) at Hochschule Reutlingen. He serves as Pro-Dean/Deputy Dean and specializes in Digital Transformation, Project Management, and Business Consulting. His academic career includes roles as a Senior Manager at KPMG (2010-2019) and a PhD from Leeds Beckett University (2014). He holds international academic credentials including degrees from DHBW Stuttgart and study periods in Sydney and Madrid. Research focuses on robotic process automation (RPA), AI integration in business processes, and data-driven cultural transformation. Key interests include evaluating risks and success factors in digital initiatives like RPA and AI projects, as well as hybrid project management methodologies. He also explores sustainability in digital applications, such as gamified mobile apps for eco-friendly grocery shopping. Publications emphasize challenges in RPA implementation, skill requirements for digital transformation, and failure factors in AI projects. Recent work proposes frameworks for corporate AI strategy and data-driven cultural change. His articles frequently analyze organizational adoption barriers and expert-driven risk assessments in emerging technologies. Teaching emphasizes foundational business administration, managerial accounting, and business consulting practices. He contributes to bachelor's and master's programs in Business Informatics, integrating practical industry insights into curriculum design. Laboratory affiliations include the Future Mobility and Software Engineering labs at Reutlingen University.

Leigh Landyمشاهده پروفایل

استاد

• Electroacoustic Music
• Contemporary Music
• Experimental Music
• +۹ مورد دیگر

Leigh Landy is Professor of Contemporary Music and Director of the Music, Technology and Innovation Research Centre (MTIRC) at De Montfort University (DMU), affiliated with the Leicester Media School within the Faculty of Computing, Engineering and Media. He is a leading figure in electroacoustic music, sonic creativity, and interdisciplinary new media arts, with a strong international presence through research, artistic practice, and academic leadership. His research expertise lies in electroacoustic musicology, music dramaturgy, access to electroacoustic music creation, and composition in cross-arts contexts. He emphasizes pedagogy and public engagement, notably through the ElectroAcoustic Resource Site (EARS) and its successor EARS 2 , a pedagogical initiative incorporating the Compose with Sounds software, supported by EU and AHRC grants. His recent book Making Music with Sounds (Routledge, 2012) underpins this educational mission. The 15 most recent articles and creative works reflect a consistent focus on electroacoustic composition, sound art, radio art, and musicology , often exploring themes of cultural identity, political commentary, narrative structures, and technological transformation. His works integrate field recordings, media samples, and digital tools to create acousmatic and interdisciplinary pieces exhibited globally. He frequently engages with questions of legality, ethics, and listening experience in sound-based works. Editor, Organised Sound (Cambridge University Press), since 1995 Editor, Journal of Music, Technology and Education , since 2006 Editor, Avant-Garde , since ca. 1988 Editor, EPOS , since ca. 1996 Reviewer for Irish, Austrian, Canadian, Australian research councils and EU panels Landy supervises multiple PhD students and has secured significant external funding, including an EU Culture grant (€3.8M) for the Interfaces project and AHRC grants for electroacoustic analysis tools. He has been Visiting Professor at Ulster University (2021–present) and Bournemouth University (2019–present), and has held visiting positions in China, Mexico, Brazil, and the US. His artistic works have been broadcast internationally and performed at major festivals in Europe, Asia, and the Americas. He leads the Music, Technology and Innovation – Institute for Sonic Creativity research group and is involved in global curriculum development, including advising the Cyprus Government on integrating Compose with Sounds into national education. His work bridges academic research, artistic innovation, and public impact in the field of sound-based arts.

Eric Moerthمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Informatics
• Medical Visualization
• Interactive Data Visualization
• +۷ مورد دیگر

Eric Moerth, Ph.D., is a Research Fellow in Biomedical Informatics at Harvard Medical School and an Associate in Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. He is affiliated with the Department of Biomedical Informatics (DBMI) and the Gehlenborg Lab, focusing on the development and application of advanced visualization techniques in biomedical contexts. Ph.D. in Multimodal Medical Visualization, University of Bergen, Norway (2022) M.Sc. in Biomedical Engineering, Technical University of Vienna, Austria (2019) M.Sc. in Medical Informatics, Medical University of Vienna, Austria (2018) B.Sc. in Medical Informatics, Technical University of Vienna, Austria (2016) Dr. Moerth's research is centered on interactive and multimodal visualization of complex medical data, particularly in radiomics, cancer imaging, and surgical applications. His work enables clinicians and researchers to explore multiparametric data such as MRI and tumor profiles through intuitive visual interfaces. Key themes include trust in visualizations, dynamic storytelling in science (scrollytelling), and scalable tools for multi-patient and multi-audience data communication. His recent publications (2020–2024) demonstrate a strong focus on visual analytics for medical data, with applications in oncology, bariatric surgery outcomes, and rehabilitation. Trends show increasing sophistication in interactive, user-centered design and integration of empirical studies to evaluate visualization effectiveness. Best Paper Honorable Mention (2022) Best Short Paper (2022) Best Interdisciplinary Presentation Award (2020) Dr. Moerth has collaborated extensively with researchers in visualization and biomedical informatics, particularly with Prof. Noeska Smit and the Gehlenborg Lab. While no formal advising or grant leadership roles are mentioned, his contributions to high-impact publications and software tools indicate active engagement in collaborative research. He has no listed students or formal teaching responsibilities. He is a key contributor to the Gehlenborg Lab’s efforts in biomedical data visualization, where he develops tools that bridge clinical needs with computational innovation. His work emphasizes usability, scalability, and trustworthiness in visual systems for healthcare.

• Software Engineering
• Artificial Intelligence
• Software Quality Assurance
• +۵ مورد دیگر

Mohamed Wiem Mkaouer is an Associate Professor in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. He serves as Graduate Director for the Master’s in Software Engineering and Artificial Intelligence programs. Research Focus: At the intersection of Software Engineering and Artificial Intelligence, with emphasis on software quality assurance, systems refactoring, infrastructure-as-code analysis, technical debt management, and accessibility in software design. His work employs multi-objective evolutionary search and machine learning techniques. Publications: With 140+ peer-reviewed papers in top venues (TSE, TOSEM, EMSE, CHI, ASE), recent studies include infrastructure-as-code analysis in OpenStack, ChatGPT-assisted refactoring, and accessibility challenges in mobile platforms. Collaborative work appears with Ali Ouni, Eman Abdullah AlOmar, and Marouane Kessentini. Awards: Recipient of 6 best-paper/presentation awards and the 2020 RIT GCCIS Best-Emerging Scholar Award. Grants: Leads $4.5M in federally funded projects including NSF SHF grant for DevOps configuration drift detection (2026-2029, $600k), DARPA TRACTOR project (2025-2029, $381k), and NSF SURGE model grant (2025-2029, $3.37M as Co-Investigator). Professional Activities: Regularly publishes in IEEE/ACM conferences like ICSE, SANER, and MSR. Key contributions include tools like AntiCopyPaster, SATDBailiff, and tsDetect for code quality analysis.

Thiago Ferreiraمشاهده پروفایل

استادیار

• Software Engineering
• Search-Based Software Engineering
• Artificial Intelligence in Software Engineering
• +۷ مورد دیگر

Thiago Ferreira is an Assistant Professor in the Department of Information Technology & Informatics at the College of Innovation & Technology, University of Michigan-Flint. He holds a Ph.D. in Computer Science from the Federal University of Paraná (2019) and has held postdoctoral and teaching roles at the University of Michigan-Dearborn prior to joining UM-Flint. His research is centered on improving software engineering practices through artificial intelligence and optimization techniques. Research Interests: His work primarily focuses on Search-Based Software Engineering (SBSE) , software refactoring , software testing , and requirements engineering . He investigates how user preferences and AI—particularly large language models—can be leveraged to automate and enhance software development decisions, including objective function selection, refactoring, and product line testing. His recent publications emphasize empirical studies on Docker refactorings and AI-driven software design. Article Trends: His latest research (2023–2025) demonstrates a growing integration of large language models and AI in software engineering tasks, with a strong emphasis on reproducibility, explainability, and empirical validation. He frequently collaborates on interdisciplinary projects involving accessibility, STEM equity, and assistive technology, reflecting a commitment to socially impactful computing. Honors & Awards: Nominee, 2024 Outstanding Student Organization Advisor Awardee, 2024 Lois Matz Rosen Junior Faculty Excellence in Teaching Award Fall 2024 Golden Apple Recognition Awardee, Early Career Award Academic (2023) 🥇Best Paper at SBCARS '24 Advising and Grants: Dr. Ferreira actively mentors students across research projects and publications. He is the Principal Investigator (PI) on multiple funded grants, including a Google Research Scholar Program award (2025, $60,000) and the NSF REU Site on Digital Accessibility (2024–2027, $429,397). He also leads projects on community-based STEM engagement and software refactoring, demonstrating strong leadership in both technical and social innovation. Labs and Teams: He leads a research lab focused on AI and search-based software engineering at UM-Flint, frequently collaborating with students and faculty across disciplines, particularly in occupational therapy and community service projects like Play Beyond Boundaries and Kaden's Car . These initiatives highlight his role in fostering interdisciplinary, student-driven innovation.

Jeffrey Yackleyمشاهده پروفایل

استادیار

• Software Engineering
• Software Testing
• Refactoring
• +۱۲ مورد دیگر

Jeffrey Yackley is an Assistant Professor of Computer Science in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. He holds a Ph.D. in Computer & Information Science from the University of Michigan-Dearborn (2022), where he also earned his M.S. and B.S. in the same field, along with a B.Sc. in Biochemistry from the University of Michigan (2009). Ph.D. in Computer & Information Science, University of Michigan-Dearborn (2022) M.S. in Computer & Information Science, University of Michigan-Dearborn (2019) B.Sc. in Computer & Information Science, University of Michigan-Dearborn (2016) B.Sc. in Biochemistry, University of Michigan (2009) Dr. Yackley's research spans software engineering, software testing, refactoring, AI in education, cybersecurity, gamification, and educational technology. His work emphasizes both empirical software engineering and innovative pedagogical approaches, particularly active learning and gamification in computing education. He investigates refactoring practices, software quality, and trustworthiness in open-source software supply chains, while also exploring the impact of AI, VR, and digital platforms on learning outcomes. His recent publications in IEEE Access, IEEE FIE, ASEE, and Springer reflect a strong trend toward interdisciplinary research at the intersection of software engineering and education. He frequently publishes on AI-assisted learning, student engagement, and the ethical use of generative AI in computing education. His technical work includes refactoring detection, software testing, and cybersecurity tools, often developed through student-led projects. Golden Apple Award (2024, University of Michigan-Flint) Dara Knot Award (2024, UM-Flint Honors Program) MWIN Fellowship (2023, UM-Flint) Dr. Yackley actively mentors undergraduate and graduate students, advising numerous research projects and capstone teams. He has secured significant external funding, including an NSF REU site on digital accessibility and a Google Research Scholar award on software testing in open-source supply chains. His grants total over $2.5 million, supporting student research, innovation, and entrepreneurship. He leads the 'SSTEM: BlueShirting' project and contributes to initiatives on lean business models and secure authentication systems. He advises student teams on projects such as the TCP Cybersecurity Game, Automated Security Scanner, and Critical Path Tool, fostering hands-on learning and real-world problem solving. His lab environment emphasizes collaborative, student-centered research with practical impact.

Marta Bivand Erdalمشاهده پروفایل

استاد پژوهشی

• Migration Studies
• Transnationalism
• Human Geography
• +۷ مورد دیگر

Marta Bivand Erdal is a Research Professor in Migration Studies at the Peace Research Institute Oslo (PRIO), where she serves as co-director of the PRIO Migration Centre. With a background in Human Geography, her research spans migration studies across multiple contexts and categories of migrants including refugees, labor migrants, and return migrants. Her educational background includes: PhD (Human Geography), University of Oslo (2012) MA (Human Geography), University of Oslo (2006) BA with honours (Geography), University College London, University of London (2002) Erdal's research focuses on the impacts of migration and transnationalism in both emigration and immigration contexts. Her work examines migration and development, the interplay of social and spatial mobility, and migration-related diversity including religion, nationhood and citizenship. With empirical focus mainly on European and Asian contexts, she employs both qualitative and quantitative methods. Her current ERC-funded project 'Migration Rhythms in Trajectories of Upward Social Mobility in Asia' investigates how migration shapes social mobility across generations in four major Asian cities. Her recent publications reveal a strong focus on transnationalism, migration-development connections, religious dimensions of migration, and methodological approaches to migration research. The work spans geographic contexts from Pakistan and Sri Lanka to Norway and multiple Asian cities, with particular attention to how migration intersects with religion, social mobility, and conflict. Scientific recognition includes: ERC Starting Grant (2021-2026) for 'Migration Rhythms in Trajectories of Upward Social Mobility in Asia' Erdal serves as Chair of the Training Committee of the IMISCOE network (International Migration and Social Cohesion in Europe), the largest migration studies network in Europe. She is also a member of the Editorial Boards of the Journal of Ethnic and Migration Studies and Migration and Development, and serves on the Editorial Advisory Board of the Central and Eastern European Migration Review. Her work connects with several research projects including FAITHED (Non-Formal Faith Education, the Public School, and Religious Minorities in Norway), CONMIG (Geographies of Conflict-Induced Migration), and AidAccount (Holding Aid Accountable: Relational Humanitarianism in Protracted Crisis). Her research methodology combines survey work, family history interviews, and multi-sited, multilingual approaches to capture the complex rhythms of migration and social mobility across generations.

Florian Loffingمشاهده پروفایل

مدرس ارشد

• Performance Psychology
• Sensorimotor Expertise
• Laterality
• +۱۱ مورد دیگر

Florian Loffing is a Senior Lecturer in the Department of Performance Psychology at the Psychological Institute of the German Sport University Cologne. His academic career spans multiple institutions, including the University of Kassel, Carl von Ossietzky University of Oldenburg, and Westfälische Wilhelms-Universität Münster. He specializes in sensorimotor expertise, laterality (particularly handedness), and perception-action dynamics in sports. Senior Lecturer, German Sport University Cologne (2023–present) Lecturer for Special Tasks, German Sport University Cologne (2021–2022) Research Associate, University of Oldenburg (2017–2021) Research Associate, University of Kassel (2009–2016) Research Associate, WWU Münster (2007–2009, 2010–2011) His research interests focus on cognitive and perceptual aspects of sports performance, particularly in anticipation, expertise, and laterality. He is deeply involved in quantitative research methods and teaches courses in sports psychology, motor learning, and statistical software such as SPSS, JASP, and PsychoPy. His work emphasizes scientific thinking and evidence-based practice in sport. The analysis of his recent publications reveals a strong focus on cognitive skills in sport, particularly in goalkeeping and table tennis. Themes include anticipation, decision-making, gaze behavior, and expertise development. His methodological contributions highlight data visualization and robust statistical practices. Many studies employ experimental designs and scoping reviews to explore perceptual-cognitive mechanisms in elite and developing athletes. Florian Loffing has contributed to several scientific journals as a peer reviewer, including Laterality: Asymmetries of Body, Brain and Cognition , Psychophysiology , and PLOS ONE . While no formal awards are listed, his sustained scholarly activity and editorial engagement reflect recognition in the academic community. He advises on research methodology and statistical analysis, supporting students and colleagues in designing and evaluating empirical studies. His teaching integrates software-supported tools to enhance scientific rigor. Though no formal grants are listed, his participation in DFG-funded projects (e.g., 'Laterality in Sport') indicates prior research funding. Loffing is affiliated with the research group Sensorimotor Expertise and the Department of Performance Psychology , where he collaborates on projects related to elite athlete cognition, anxiety, and heart rate variability. His network includes researchers such as Babett Lobinger, Philip Furley, and Jens Kleinert, with whom he has co-authored multiple publications.