جست‌وجوی استاد و پژوهشگر

• Sports Science
• Football (Soccer) Analytics
• Cognitive Psychology in Sports
• +۶ مورد دیگر

Prof. Daniel Memmert is a Professor at the German Sport University Cologne, leading research in Sport Informatics and Sports Games within the Institute of Exercise Training and Sport Informatics. His work focuses on cognitive aspects of sports performance, decision-making, and data-driven analysis in football (soccer) and other sports. He has published extensively on topics like penalty kick strategies, home advantage dynamics, artificial intelligence applications in coaching, and route-setting in climbing. Memmert's research bridges sports science, computer science, and psychology, with over 550 publications and 41 projects to his name. He frequently engages with media, explaining complex sports phenomena to the public. Key Research Areas: Football analytics, cognitive psychology in sports, sports technology, decision-making under pressure Media Contributions: Over 50 media features discussing topics such as AI in coaching, referee bias, and athlete creativity Projects: Includes initiatives on sports data visualization, performance metrics, and prevention of sports betting addiction His work emphasizes translating academic findings into practical tools for athletes, coaches, and sports organizations, combining rigorous data analysis with real-world applications.

• Information Systems
• Healthcare IT
• Knowledge Management
• +۵ مورد دیگر

Atreyi Kankanhalli is a Professor at the National University of Singapore, specializing in Information Systems with a focus on knowledge management, healthcare IT, and digital innovation. Their research spans over three decades, with prolific contributions in top journals like MIS Quarterly, Journal of AIS, and Information & Management. They have co-authored over 150 papers addressing topics such as crowdsourcing, online communities, and the impact of AI on scholarly practices. Notable work includes studies on user adherence to health apps, innovation in public sector data utilization, and the ethical challenges of generative AI in peer review. Kankanhalli has also led research on global virtual teams and digital technologies' role in social justice, reflecting a commitment to both technical and societal dimensions of information systems. Education & Background: While specific degree details are not provided, their extensive publication history and academic roles imply advanced qualifications in Information Systems or related fields. They have collaborated with global researchers across institutions like NUS, University of Illinois, and Singapore Management University. Research Themes: Core areas include digital health interventions (e.g., fitness app adherence), organizational innovation via open data and crowdsourcing, and the socio-technical challenges of AI in academia. Their work often bridges theoretical frameworks with practical applications, such as healthcare decision support systems and policy-driven technology adoption. Impact & Influence: As an editorial board member and frequent conference contributor (e.g., ICIS, PACIS), Kankanhalli shapes the field's research agenda. Their recent focus on generative AI's implications highlights proactive engagement with emerging technologies' ethical and methodological challenges.

• Human-Computer Interaction
• Interaction Design
• Usability Engineering
• +۱۳ مورد دیگر

Prof. Dr. Harald Reiterer is a leading researcher in Human-Computer Interaction at the University of Konstanz, where he has served as Professor since 2009. His academic journey includes a Ph.D. (1991) and habilitation (1995) from the University of Vienna, followed by roles including Senior Researcher at Fraunhofer FIT and Associate Professor at Konstanz. He currently holds multiple leadership roles: Dean of the Faculty of Sciences , Senator of Section 1 , and Consulting Dean . Ph.D. in Computer Science (University of Vienna, 1991) Venia Legendi (Habilitation) in HCI (University of Vienna, 1995) His research focuses on: Interaction Design for mixed reality environments Information Visualization in immersive contexts Hybrid User Interfaces combining physical and virtual elements 3D Object Manipulation in handheld AR Behavioral Analytics through mHealth interventions Recent work explores: Avatar representation in Augmented Reality (2024) Node selection efficiency in Virtual Reality (2024) Peripheral vision toolkits for Head-Mounted Displays (2023) Hybrid interface optimization for Mixed Reality (2023) Smartphone AR extensions for Spatial Memory (2023) Key scientific contributions: Landeslehrpreis 2021 for interdisciplinary exhibition design Development of Colibri cross-reality toolkit (2023) Foundational work on Re-locations for remote collaboration (2022) He leads numerous projects including: SMARTACT (Smart Mobility, 2015-2023) SFB TRR 161 (2009-2027) on XR interface measurement Blended Library (2011-2015) for future library design

Lucie Kruseمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Virtual Reality Exergames
• Serious Games
• +۵ مورد دیگر

Dr. Lucie Kruse is a researcher at the Department of Informatics, University of Hamburg, specializing in Human-Computer Interaction (HCI) and Virtual Reality (VR). Her work focuses on immersive user interfaces for cognitive and physical training, particularly for older adults and those with dementia. She has been an active member of the University of Hamburg's HCI group since 2018 and served on the Ethics Commission since 2023. Her research interests include: Virtual Reality Exergames Serious Games Assistive Technologies Accessibility in VR Mental Health Applications Her publications from 2021-2025 demonstrate expertise in designing VR systems for healthcare, analyzing age-related interaction patterns, and developing inclusive interfaces. She has received multiple awards including the 2024 Honorable Mention for Best Poster at ACM SUI and the 2023 Honorable Mention at ACM CHI. Scientific Awards: Honorable Mention for Best Poster Award at ACM SUI (2024) Runner-Up Prize at Metaverse for the Good (2024) Honorable Mention at ACM CHI'23 Interactive Demo (2023) Honorable Mention at ACM VRST (2021) She has supervised multiple theses on topics like AI agents for mental health, accessibility of chatbots for seniors, and VR exergame design. Her work spans collaborations with institutions like HITLab NZ and Western Sydney University's MARCS Institute.

Arpan Gujaratiمشاهده پروفایل

عضو هیئت علمی

• Real-Time Systems
• Distributed Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Arpan Gujarati is a Sessional Lecturer in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab. He teaches graduate and undergraduate courses such as CPSC 538G (Distributed Systems), CPSC 416 (Operating Systems), and CPEN 432 (Real-Time System Design). He holds a PhD from the Max Planck Institute for Software Systems and TU Kaiserslautern, where he was supervised by Björn B. Brandenburg. PhD: Max Planck Institute for Software Systems & TU Kaiserslautern (2020) Undergraduate: Birla Institute of Technology and Science (BITS Pilani) Postdoctoral Researcher: MPI-SWS Research Associate: UBC Software Development Engineer: Citrix R&D, India His research focuses on real-time and distributed systems, with applications in cyber-physical systems, fault tolerance, and machine learning reliability. He investigates scheduling algorithms, reliability analysis, and the integration of learning-enabled components into safety-critical systems. His work combines theoretical analysis with practical system implementations, often involving real-world testbeds and open-source tools. His recent publications span top-tier venues including RTSS, OSDI, ECRTS, DSN, and Middleware, with a strong emphasis on performance predictability, resilience of ML systems, and real-time communication. His work frequently addresses challenges in timing guarantees, fault tolerance, and system reliability in both cloud and embedded environments. SIGBED Paul Caspi Memorial Dissertation Award Best Paper Award at RTSS 2022 Distinguished Artifact Award at OSDI 2020 Best Student Paper Award at Middleware 2017 Outstanding Paper Award at RTCSA 2025 He advises several PhD students and undergraduate researchers at UBC, including Heng Zhao, Aida Aminian, Zainab Saeed Wattoo, and Philip Schowitz. He has led multiple research projects involving robotic arms, NVIDIA Holoscan, FreeRTOS, and distributed key-value stores. His lab work emphasizes reproducibility, open datasets, and practical system building. He has served on program committees for RTSS, RTAS, ECRTS, and Middleware, and contributes to journals such as Real-Time Systems and JSys.

• Information visualization
• Visual analytics
• Eye tracking
• +۱۰ مورد دیگر

Tanja Blascheck is a PostDoc Researcher and Margarete von Wrangell Fellow at the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. Her work focuses on visual analytics , eye tracking , and microvisualizations for smartwatches and other wearable devices.

Stefan Smolnikمشاهده پروفایل

استاد

• Knowledge Management
• Collaboration Systems
• Social Software
• +۴ مورد دیگر

Stefan Smolnik is a University Professor at the FernUniversität in Hagen since 2013, affiliated with the Faculty of Business Administration and Economics . His academic career includes roles as Track Chair at the Hawaii International Conference on System Sciences (2025), Vice Rector for Research and Digitalization (2022-2025), and Head of the Institute of Research on Information Systems at EBS Business School (2012-2013). Education: Doctorate in Knowledge Management with Topic Maps (2005, University of Paderborn); Diploma in Computer Science (1998, University of Paderborn) Stefan's research focuses on Knowledge Management , Collaboration Systems , eLearning , and the Use and Success of Information Systems . His recent work explores digital health applications, smart city technologies, and AI-driven knowledge flows, with publications analyzing telemedicine adoption, gamified mobility systems, and neurophysiological impacts on digital work. Key trends in his 15 most recent publications (2023-2025) include: Integration of AI and NeuroIS in workplace design Smart city solutions for mobility , waste management , and sustainability Knowledge sharing in healthcare teleconsultations and professional services Maturity models for small/medium smart cities Emotional dimensions in knowledge management research Scientific recognition includes the Best Paper Award at the 4th Conference on Professional Knowledge Management (2007) and frequent participation in top-tier conferences like ICIS and HICSS . His work bridges information systems , organizational behavior , and urban digitalization .

• Computer Vision
• Photometric Stereo
• 3D Reconstruction
• +۳ مورد دیگر

Fumio Okura is a professor at Osaka University , specializing in Computer Vision and 3D Reconstruction . His work bridges Photometric Stereo , Neural Rendering , and Medical Imaging , with a focus on cognitive decline prediction and plant modeling . He collaborates extensively with researchers like Hiroaki Santo and Yasuyuki Matsushita . Education: Ph.D. in Computer Science (Osaka University) Research Interests span Computer Vision , Photometric Stereo , 3D Reconstruction , and Biomedical Applications . His recent work includes HoGS for object reconstruction and TreeFormer for botanical structure estimation. Publications trend toward neural rendering , reflectance modeling , and augmented reality . Notable contributions include PPGCN for cognitive detection and MVCPS-NeuS for multi-view photometric stereo. Labs & Collaborations include the Osaka University Computer Vision Lab , working with teams on photometric analysis and medical imaging .

Georgina Hallمشاهده پروفایل

استادیار

• Polynomial Optimization
• Semidefinite Programming
• Convex Relaxations
• +۳ مورد دیگر

Georgina Hall serves as Assistant Professor of Decision Sciences at INSEAD, holding the prestigious Patrick and Valentine Firmenich Fellowship for Business and Society. She officially joined the institution in September 2019 after completing a postdoctoral position at INRIA's DYOGENE team from January to September 2019. Her educational background includes a PhD from Princeton University's Department of Operations Research and Financial Engineering (2018), where she was a Gordon Y.S. Wu fellow under Professor Amir Ali Ahmadi's supervision. She earned both her Bachelor of Science (2011) and Master of Science (2013) from Ecole Centrale Paris, where she was valedictorian. Dr. Hall's research focuses on optimization theory, particularly polynomial optimization , semidefinite programming , and convex relaxations of NP-hard problems . Her work bridges theoretical mathematics with practical applications in business decision-making. She has made significant contributions to shape-constrained regression using sum of squares polynomials, demonstrating how semidefinite programming hierarchies can effectively fit shape-constrained polynomials to noisy data. Her recent publications reveal a research trajectory that increasingly connects optimization theory with machine learning applications and supply chain decision-making. The 2025 Operations Research paper on shape-constrained regression represents her theoretical contributions, while the Management Science paper demonstrates practical business applications of her optimization framework. Her scientific recognition includes: Médaille de l'Ecole Centrale from the French Académie des Sciences Princeton School of Engineering and Applied Sciences Award for Excellence 2016 Informs Computing Society Prize for Best Student Paper Multiple teaching awards from Princeton University Patrick and Valentine Firmenich Fellowship for Business and Society Dr. Hall teaches Probability and Statistics at the PhD level and has received significant recognition for her teaching excellence, including the Princeton University's Engineering Council Teaching Award and the Excellence in Teaching Award from the Princeton Graduate School. Her research has practical applications in areas including optimal transport maps for color transfer tasks and estimating optimal value functions for conic programs, with real-time applications in inventory management contract negotiation.

Gregory Gayمشاهده پروفایل

دانشیار

• Software Testing
• Search-Based Software Engineering
• AI for Software Engineering
• +۴ مورد دیگر

Gregory Gay is an Associate Professor in the Interaction Design and Software Engineering division within the Department of Computer Science and Engineering at Chalmers University of Technology and the University of Gothenburg, Sweden. His academic profile spans numerous software engineering conferences where he has served as committee member, program chair, and active researcher since at least 2018. Dr. Gay's research focuses on the intersection of software engineering and artificial intelligence, with particular emphasis on: Software Testing and Analysis Search-Based Software Engineering AI for Software Engineering (AI4SE) AI Engineering Automation of development tasks Software Carbon Footprint and sustainability His recent publications demonstrate a strong trend toward applying AI and optimization techniques to software testing challenges, with increasing focus on sustainability aspects of software development. Many studies take an industrial perspective, examining real-world applications in automotive software systems. His work blends theoretical foundations with practical applications, making significant contributions to both academic research and industrial practice in software engineering. Dr. Gay has been actively involved in numerous top software engineering conferences including ASE, ICSE, ESEC/FSE, ISSTA, and ICST, serving on program committees and organizing tracks. His research methodology typically combines optimization, artificial intelligence, and machine learning to help developers deliver complex systems in a safe, secure, and efficient manner.

Benedikt Bergerمشاهده پروفایل

استاد

• Digital Transformation
• Generative AI
• Business Information Systems
• +۲ مورد دیگر

Benedikt Berger is Professor of Digital Transformation and Society at the University of Münster's School of Business and Economics, Department of Information Systems. He leads research on generative AI implementation impacts and digital business transformation, with ongoing projects funded by industry partners including BASF Coatings GmbH. His research examines AI integration in organizational contexts, voice commerce systems, and human-AI collaboration frameworks. Key projects investigate generative AI's effects on workplace structures and employee experience in industrial settings. Honors include the 2024 Best Paper Award from The Data Base for Advances in Information Systems and 2022 Best Associate Editor recognition from ECIS. He supervises graduate research on topics including robotic process automation implementation.

Maximilian Altmeyerمشاهده پروفایل

استاد

• Human-Computer Interaction
• User Experience (UX)
• Player Experience (PX)
• +۶ مورد دیگر

Prof. Dr. Maximilian Altmeyer is a faculty member at Saarland University of Applied Sciences , where he serves as Professor of Web Development and Mobile Applications Engineering. His research focuses on Human-Computer Interaction, User Experience (UX), Player Experience (PX), Gamification, and Digital Health. Head of Interaction Experience Group Member of Faculty Council Deputy Head of Production Informatics His teaching includes courses on Web Development , Game Development , and Interactive Systems . He supervises B.Sc. and M.Sc. theses on gamification topics and collaborates with research institutions like centigrade. Research Trends : Recent publications examine personalized gamification in fitness applications, user-created gamification systems, and behavioral interventions through interactive technologies. Key areas include Hexad user type analysis, health behavior modification, and live-streaming UX. Special Recognition at CHI PLAY 2020 Special Recognition at CHI PLAY 2019 Special Recognition at CHI PLAY 2022 He advises on ongoing theses about gamified meditation and customization vs. personalization , while serving as committee member for conferences like CHI, MobileHCI, and IEEE VR.

Vahid Farrahiمشاهده پروفایل

استادیار

• Physical Activity and Health
• Wearable Technology
• Behavioral Data Science
• +۴ مورد دیگر

Vahid Farrahi is an Assistant Professor (tenure-track) at the Technical University of Dortmund, Faculty of Arts and Sports Sciences, where he serves as Head of Department 7: Data Analytics in Sport Sciences. He collaborates with fellow professors to design a new master's program in sports data science scheduled for launch in Winter 2024. Dr. Farrahi completed his MSc in Information Technology at Shiraz University of Technology (2016) and earned his PhD from the Faculty of Medicine, University of Oulu (2017-2021) with a prestigious Marie Curie grant. His doctoral work earned him the 'Best PhD Thesis Award 2021' and 'Exemplary PhD Thesis Award.' His research focuses on device-based measurement of movement behaviors, physical activity and health relationships, data-driven health interventions, and wearables for population health. He specializes in analyzing 24-hour movement and non-movement behaviors using wearable accelerometer-based activity monitors, applying machine learning and data mining techniques to understand health outcomes. Dr. Farrahi's publication record shows a strong trend toward digital phenotyping, machine learning applications in movement behavior analysis, and compositional data analysis of 24-hour movement patterns. His work bridges sports science, public health, and data analytics, with increasing emphasis on practical applications for health monitoring and intervention. His notable academic honors include: Best PhD Thesis Award 2021 from Faculty of Medicine, University of Oulu Exemplary PhD Thesis Award from University of Oulu Graduate School Marie Curie grant recipient Dr. Farrahi serves as Associate Editor for the Journal for the Measurement of Physical Behaviour and on editorial boards for the Journal of Activity, Sedentary and Sleep Behaviors and Journal of Physical Activity and Health. He has delivered numerous invited presentations including at ISBNPA 2023 and University of Oulu's Science Day 2023, and reviews for over 20 scientific journals. He actively seeks talented researchers and students to join his team, with a focus on those passionate about executing tasks with precision and accuracy in behavioral and health data science.

• Educational Technology
• Artificial Intelligence in Education
• Collaborative Learning
• +۳ مورد دیگر

Seng Chee Tan is a prominent academic in the field of educational technology and learning sciences. He has been actively involved in researching the integration of artificial intelligence (AI) in education, collaborative learning practices, and knowledge-building pedagogies. His work spans over two decades, with a focus on understanding how technology can enhance teaching and learning processes through innovative methodologies and tools. Research Interests: AI in education, educational data mining, collaborative learning, knowledge-building frameworks, and technology-enhanced learning environments. Key Contributions: Pioneered studies on generative AI applications in education, teacher AI readiness, and mobile peer tutoring systems. Authored over 40 publications in journals like Computers & Education, IEEE Transactions on Learning Technologies, and the Journal of Learning Analytics. Recent work emphasizes leveraging AI to support sustainable student discourse and analyzing human-AI interactions in language learning. Tan has also contributed to editorial roles, including guest editorials on ChatGPT and generative AI impacts on education. His collaborations span institutions globally, focusing on scalable knowledge-building practices and teacher professional development. Notable projects include developing frameworks for evaluating MOOC completion factors, investigating technostress in digital learning, and creating culturally grounded peer tutoring applications. His research bridges theory and practice, offering actionable insights for educators and policymakers aiming to integrate emerging technologies into educational systems.

Hartmut Höhleمشاهده پروفایل

استاد

• Enterprise Systems
• Information Systems
• Software Development
• +۴ مورد دیگر

Hartmut Höhle is a Professor and Chair of Enterprise Systems at the University of Mannheim Business School, Department of Information Systems. He has held this position since 2017, previously serving as an Associate Professor and Assistant Professor at the University of Arkansas, Sam M. Walton College of Business, and as a Lecturer at the Australian National University. Höhle earned his Doctorate from Victoria University of Wellington (2008-2011), where he completed his dissertation on 'Consumer Intentions to Use Electronic Banking Channels: The Role of Task-Channel Fit' under Dr. Sid Huff and Dr. Hans Lehmann. He also received First Class Honors in Commerce and Administration (2007) and a Bachelor of Commerce and Administration in Electronic Commerce (2004-2006), both from Victoria University of Wellington. His research focuses on the design, implementation, and use of enterprise software systems, with particular emphasis on security in enterprise software systems. His work spans multiple domains including data breach management, agile software development, mobile health applications, and online community behavior. He has made significant contributions to understanding how enterprise systems impact organizational behavior, security practices, and user satisfaction across various contexts. Höhle's publication record demonstrates consistent high-impact research in top-tier journals including MIS Quarterly, Information Systems Research, and Journal of Management Information Systems. His work shows a clear trajectory examining the intersection of technology implementation, organizational dynamics, and human behavior within enterprise contexts, with increasing focus on security issues and agile development methodologies in recent years. At the University of Mannheim, Höhle teaches a comprehensive range of courses including IS 203 Development and Management of Information Systems, IS 301-Foundation of Information Systems, IS 540 Management of Enterprise Systems, IS 602 Business Intelligence and Business Analytics Systems, IS 629 Product Management and Product Design for Software, IS 742 Seminar Trends in Enterprise Systems, and IS 801 Fundamentals of Design Science Research.