جست‌وجوی استاد و پژوهشگر

Ran Zhaoمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Environmental Chemistry
• Air Pollution
• +۵ مورد دیگر

Ran Zhao leads an active research group in the Department of Chemistry at the University of Alberta, focusing on atmospheric chemistry and its intersection with environmental health. The Zhao Research Group employs a multidisciplinary approach combining laboratory experiments, ambient measurements, and computer simulations to investigate critical air quality issues. Research priorities include: Atmospheric aerosol formation and evolution Indoor air quality monitoring using innovative low-cost sensors Chemical partitioning of pollutants in indoor environments Third-hand exposure pathways from nicotine delivery systems Emissions from solid fuel combustion sources Recent publications demonstrate significant contributions to understanding formaldehyde emissions from entertainment fog machines, brown carbon behavior in Himalayan regions, and microbial volatile organic compounds in indoor settings. The group's work on cow dung burning emissions has provided crucial data for developing regions where this fuel source is prevalent. Their research on iodometry matrix effects has important implications for analytical chemistry methodologies. Dr. Zhao mentors a diverse team of graduate students and research associates, with Jessica completing the first MSc degree in the group in January 2021. Current members include Timothy, Shuang, Vikram, Tania, Max, and several undergraduate researchers who contribute to ongoing projects. The group has secured funding through the University of Alberta's Campus Sustainability Grant and maintains strong collaborations with institutions like SUSTech. Notable research impacts include media coverage of the humidifier study by Global News and CTV News, demonstrating the group's commitment to translating scientific findings for public benefit. The laboratory regularly hosts visitors including university leadership, showcasing the group's prominence within the institution.

• 3D Animation
• Game Design
• Computer Graphics
• +۳ مورد دیگر

Adam Blair serves as an Assistant Professor of Practice in the 3D Animation and Game Design program at the University of the Incarnate Word, contributing to the institution's academic framework through practical instruction in digital media arts and creative technologies. His research and teaching interests center on 3D Animation, Game Design, Computer Graphics, Interactive Media, Digital Art, and Virtual Reality, reflecting a focus on cutting-edge digital content creation and immersive experience development across entertainment, education, and simulation domains. These disciplines emphasize both technical proficiency and artistic innovation in evolving interactive media landscapes. No scientific awards or major recognitions were documented in available sources. Information regarding student advising, research grants, laboratory facilities, or collaborative research teams was not provided in the current directory listing.

Ian Horswillمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Interactive Art
• Interactive Entertainment
• +۷ مورد دیگر

Ian Horswill is an Associate Professor of Computer Science at Northwestern University , with joint appointments in the Departments of Electrical Engineering/Computer Science and Radio/Television/Film. He directs the Division of Graphics and Interactive Media and the Animate Arts Program, blending AI research with interactive art and entertainment. Research Focus: Autonomous agents, emotion/personality modeling for virtual characters, procedural animation via the Twig system, and interdisciplinary education in the Animate Arts Program. Key Projects: Twig (procedural animation), Meta (Scheme-like programming language), and role-passing architectures for efficient inference in robotics. Publications span AI, robotics, and games, with a focus on real-time decision-making, believable character behaviors, and cognitive architecture. His work has been recognized with the 2001 Nils Nilsson Prize . Students: Robin Hunicke, Magy Seif El-Nasr, and Rob Zubek, all of whom contributed to systems for game difficulty adjustment, dynamic lighting design, and natural-language dialog with NPCs. Affiliations: Chair of the Doctorial Consortium for the 2009 Foundations of Digital Games conference, member of the IGDA Education Committee.

Benjamin Watsonمشاهده پروفایل

دانشیار

• Computer Graphics
• Human-Computer Interaction
• Visual Perception
• +۶ مورد دیگر

Benjamin Watson serves as an Associate Professor in the Department of Computer Science at North Carolina State University, leading the Visual Experience Lab which investigates how humans derive meaning from visual information through computer graphics, perception, design, and interaction. His work spans applications in entertainment, security, finance, education, and medicine, with leadership roles in major conferences including Graphics Interface, IEEE Virtual Reality, and ACM I3D. He holds senior membership in IEEE and active membership in ACM. Watson's educational background includes: Ph.D. from Georgia Tech (1997) M.S. from Georgia Tech (1997) B.S. from UC Irvine (1987) His research centers on visual perception and interaction, with core expertise in computer graphics, human-computer interaction, and user experience design. Key investigations include perceptual asymmetries in rendering, display technologies for immersive environments, and human performance optimization in high-stakes contexts like esports. The Visual Experience Lab bridges theoretical computer science with practical applications in healthcare, finance, and entertainment through interdisciplinary collaboration. Analysis of Watson's 2019-2025 publications reveals consistent focus on display technology limitations and human performance metrics. His work demonstrates increasing specialization in esports HCI (7 of 10 recent papers), particularly examining display size, rendering techniques, and frame rate impacts on aiming accuracy. Concurrently, he maintains strong contributions to light field displays and multi-view rendering, developing novel point-based methods that exploit perceptual redundancies for real-time performance. Scientific recognition includes: NVIDIA Professor Partnership Award (2007) National Science Foundation Faculty Early Career Award (2006) Watson actively mentors graduate researchers including Ph.D. graduate Adam Marrs (now at NVIDIA) and Holle Christensen, whose work on experience analytics received workshop acceptance at ACM DIS. His $772k+ in active and recent funding spans NSF grants for adaptive rendering systems ($497k), human-machine collaboration projects with the Laboratory for Analytic Sciences ($180k), and Caterpillar-sponsored AR applications ($20k), demonstrating strong industry-academia translation. The Visual Experience Lab operates as a cross-disciplinary hub connecting computer science, design, and cognitive psychology researchers. Current projects focus on real-time GPU acceleration for multi-view rendering, esports performance optimization, and AR applications for industrial equipment, with active partnerships including Caterpillar, NVIDIA, and the Laboratory for Analytic Sciences.

Joachim Trebbeمشاهده پروفایل

استاد

• Media Analysis
• Research Methods in Communication
• Television Program Research
• +۳ مورد دیگر

Prof. Dr. Joachim Trebbe is a full-time Professor of Journalism and Communication Studies at Freie Universität Berlin, affiliated with the Institute of Journalism and Communication Studies under the Department of Political and Social Sciences. His research focuses on media and migration , television program research , hate speech in digital spaces , and methodological developments in communication studies . He has led projects like NOHATE and InfectControl 2020: RAI , and serves on the board of the Mediapulse Foundation . Habilitation (2008): "Ethnische Minderheiten, Massenmedien und Integration" PhD (1996): "Publizistische Vielfalt in lokalen Kommunikationsräumen" Studies at Universities of Göttingen and Leipzig His methodological expertise includes statistical analysis and empirical research , evident in his publications and courses like "Methoden der empirischen Kommunikationsforschung" and "Einführung in die Wahrscheinlichkeitstheorie" . His 15 most recent articles span topics from hate speech to television convergence , with keywords in Political Communication , Media Sociology , and Digital Methods . Key sub-fields include cross-cultural media analysis , infotainment dynamics , and algorithmic moderation . Doctoral advisees include Ingy Salama Al-Sayed and Dr. Gergana Baeva , while his network spans institutions like the h1 medienanalyse GmbH Berlin . He is a member of the German Communication and Media Research Association (DGPuK) and the European Communication Research and Education Association (ECREA) .

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

José Miguel Santos Espino serves as a Professor in the Department of Computer Science and Systems at the University of Las Palmas de Gran Canaria, specializing in Engineering and Architecture with focus on Communications, Computer and Electronic Engineering. His research spans Artificial Intelligence, Machine Learning, Neural Networks, and Data Engineering, with significant contributions to Natural Language Processing and Mobile Application Development. These interests drive innovative student projects addressing real-world challenges through computational solutions. Professor Santos Espino has supervised over twenty bachelor's and master's theses from 2002-2025, guiding students in developing applications for healthcare (LeeMed for visual impairment), business operations (WorkTimer, COT), and entertainment (SweetRunner). His mentorship consistently produces practical, industry-relevant software solutions. As an active member of GIR SIANI (Artificial Intelligence, Neural Networks, Machine Learning and Data Engineering) and IU Intelligent Systems and Numerical Applications research groups, he advances collaborative work in intelligent systems and numerical methods while maintaining strong industry-academia connections through student projects.

Stephen Guyمشاهده پروفایل

دانشیار

• Robotics
• Animation
• Artificial Intelligence
• +۷ مورد دیگر

Stephen J. Guy is an Associate Professor in the Department of Computer Science & Engineering at the University of Minnesota. His research focuses on artificial intelligence, computer vision, and robotics, with applications spanning human movement analysis, crowd simulation, and social robotics. He leads the Applied Motion Lab and contributes to interdisciplinary fields like human-centered computing and medical AI. University of Minnesota - Department of Computer Science & Engineering Applied Motion Lab Research intersections: Robotics, AI, Computer Graphics, Human Behavior His research develops AI and computer vision technologies for autonomous robotics and computational analysis of human movement. Key applications include social robotics, game/VR environments, and medical diagnostics. Current projects involve trajectory pattern analysis, crowd navigation algorithms, and behavioral modeling using augmented reality. Recent publications demonstrate expertise in egocentric video analysis for robot learning (2025), collision avoidance frameworks (2020), and predictive crowd simulation (2018). He applies machine learning and optimization techniques across domains, with notable work on bilateral reaching development (2024) and successful smile analysis (2016). Scientific recognition includes: Recipient of Charles E. Bowers Faculty Teaching Award Best Paper Awards in simulation and planning Multidisciplinary collaborations with NIH, NSF, and industry partners As an advisor, he has mentored 5 Ph.D. graduates since 2016, with recent co-advising collaborations. His lab secures funding from NSF (MRI for Tourette Syndrome analysis), NIH (cerebral palsy research), and industry grants like Tesco PLC's trajectory analysis project. Media coverage highlights public impact of his behavioral analysis research.

• Human-Computer Interaction
• Game Design
• User Experience
• +۳ مورد دیگر

Daniel Johnson is an Honorary Professor at the School of Psychology , University of Queensland. His research focuses on Human-Computer Interaction , Game Design , and User Experience , particularly in the context of digital entertainment and educational technologies. His scholarly work explores the psychological dimensions of user interface design, media interaction, and team dynamics in computational environments. Recent publications highlight trends in Affective Computing , Interactive Systems , and Software Development Pedagogy . Dr. Johnson's contributions to academia are documented through his peer-reviewed journal articles and conference proceedings, though no specific scientific awards or grants are mentioned in the provided text.

Daniel Triplettمشاهده پروفایل

استادیار

• Game Art
• Game Technology
• Animation
• +۳ مورد دیگر

Daniel Triplett serves as Assistant Professor of Practice and Assistant Department Head in the Department of Computer Graphics Technology at Purdue University's Polytechnic Institute. With over a decade of higher education experience and six years as a lead game industry artist shipping ten titles for companies including Pixar, Marvel Studios, and Nickelodeon, he bridges professional practice with academic instruction in digital entertainment fields. His educational credentials include: M.F.A. in Interactive Media and Game Design from Savannah College of Art and Design (Summa Cum Laude) B.F.A. in Game Art and Design from the Illinois Institute of Art (3.98 GPA) Triplett's research focuses on game art pipelines, environment design, and animation techniques for immersive experiences. His industry background informs pedagogical approaches that prepare students for technical and creative roles in gaming and animation studios, emphasizing professional workflows and portfolio development through hands-on project execution. His professional recognition includes: Summa Cum Laude from Savannah College of Art and Design 3.98 GPA award from Illinois Institute of Art - Schaumburg Artimation 7: Best Level Design for "The Castle" Artimation 8: Best Team Game for "Das Mutiny" Artimation 10: Best Team Game of the Decade for "Das Mutiny" As an educator at Purdue, Columbia College Chicago, and Tribeca Flashpoint Academy, Triplett mentors students through curriculum development and industry connections. His recent contribution to "A Path to the Game Industry" (Focal Press) establishes professional pathways for emerging talent. The Purdue Game Development program he contributes to achieved #17 in the Princeton Review 2025 rankings.

Lorena Lopez Hechavarriaمشاهده پروفایل

مدرس

• Interaction Design
• Immersive Experience Design
• Digital Media
• +۳ مورد دیگر

Lorena Lopez Hechavarria is a Lecturer at the University of Miami's School of Communication, specializing in the Interactive Media program. Born in Havana, Cuba, and based in Miami, Florida, her work focuses on designing digital and physical interactions to create immersive experiences that educate and entertain. Her educational background includes: Bachelor of Fine Arts (BFA) from Carnegie Mellon University's School of Art Master of Fine Arts (MFA) from the University of Miami's Interactive Media program Her research interests center on enhancing user experiences in museums and educational spaces through: Interaction Design Immersive Experience Design Digital Media Physical Computing User Experience (UX) Design Educational Technology

• Automation Engineering
• Advanced Manufacturing Technology
• Digital Twin
• +۷ مورد دیگر

Wei Wang is a Senior Lecturer in Automation Engineering at the School of Engineering Science , University of Skövde . His research focuses on advanced manufacturing technologies, digital twin frameworks, and sustainable production systems. Roles: Programme Coordinator for Computational Methods in Engineering – Master's Programme Projects: QWELD (2021–2025), Energy Storage & Power Electronics (2021–2023), Intelligent Simulation-Based Planning (2019–2023) Research Interests Dr. Wang specializes in human-robot collaboration , digital twin applications , and machine learning for industrial processes . His work bridges automation, sustainability, and cybersecurity in manufacturing systems. Scientific Trends Recent publications highlight multi-objective optimization in machining processes, deformation prediction using voxel-based models, and cybersecurity integration in cyber-physical production systems. Collaborative studies emphasize laser welding and green technology adoption . Education Leadership Coordinates Computational Methods in Engineering – Master's Programme and teaches courses at both bachelor's and master's levels, including Industrial Computing Technology and Simulation-Based Optimization .

Atınç YILMAZمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +۵ مورد دیگر

Atınç YILMAZ serves as Associate Professor and Department Head of Computer Engineering at Istanbul Beykent University's Faculty of Engineering and Architecture. Previously, he held academic positions at Beykent University as Doctor Lecturer (2015) and at Haliç University as Lecturer (2009) and Research Assistant (2006). He maintains active teaching responsibilities across doctoral, graduate, and undergraduate programs. His research spans artificial intelligence applications with emphasis on fuzzy logic systems and neural networks. Teaching portfolio includes advanced courses in Artificial Intelligence, Machine Learning, Fuzzy Logic, Pattern Recognition, and Cybersecurity since 2009. His work bridges theoretical computer science with practical applications in healthcare, finance, and transportation systems. Recent publications demonstrate strong focus on hybrid AI systems, with multiple papers applying fuzzy logic and neural networks to medical diagnostics (lung cancer risk, sepsis prediction, diabetes diagnosis), financial forecasting, and smart transportation systems. His research methodology frequently combines traditional AI techniques with modern deep learning approaches. Scientific Recognition: 3rd Best Paper Award at 4th International Conference on Management Information Systems (2017) Professional memberships include Chamber of Computer Engineers (BMO) since 2012 and former membership in Chamber of Electrical Engineers (EMO) from 2007-2012. His administrative role as Department Head indicates significant institutional leadership within the Computer Engineering program. Teaching responsibilities span 15+ years with consistent focus on core computer engineering subjects, demonstrating deep commitment to curriculum development and student mentorship across all academic levels.

Ediz ŞAYKOLمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Artificial Neural Networks
• +۷ مورد دیگر

Ediz ŞAYKOL is an Assistant Professor and Department Head at Beykent University's Faculty of Engineering and Architecture, Department of Computer Engineering. He also served as Vice Dean from 2012-2015. Prior to his academic career, he worked as a Senior Software Engineer at HAVELSAN A.Ş. from 2004-2010. His educational background includes a Doctorate (2001-2009), Master's degree (1999-2001), and Bachelor's degree (1995-1999), all from İhsan Doğramacı Bilkent University's Faculty of Engineering and Institute of Engineering and Science. His doctoral thesis focused on 'A scenario-based query processing framework for video surveillance'. Professor ŞAYKOL's research spans computer vision, machine learning, and video database systems, with particular emphasis on surveillance applications, medical diagnostics using neural networks, and educational technologies for special needs populations. His work bridges theoretical computer science with practical applications across multiple domains including healthcare, security, education, and entertainment. His publication portfolio shows a consistent trajectory from foundational work in video database management systems to contemporary applications of deep learning across diverse fields. The research demonstrates strong methodological continuity in content-based retrieval techniques while adapting to emerging technologies from early 2000s through present day. 2003 3. Best Paper Award, University, Türkiye Professor ŞAYKOL has supervised over 50 master's and doctoral students, with thesis topics covering computer vision applications, machine learning implementations, and innovative computing solutions for accessibility challenges. His academic leadership extends to curriculum development in computer graphics, operating systems, and computer vision courses taught in both Turkish and English. His laboratory work has focused on video processing systems, with applications in historical document analysis, security surveillance, and medical diagnostics. Current research directions include deep learning applications for behavioral analysis and specialized computing solutions for accessibility challenges.

• Applied Computer Science
• Autonomous Mobile Systems
• Robotics
• +۳ مورد دیگر

Prof. Dr.-Ing. Volker Sommer is a Professor of Applied Computer Science at the Berlin University of Technology, Department VI - Computer Science and Media. His research focuses on autonomous and adaptive systems, particularly mobile robotics, with applications in cleaning, service work, and entertainment. He is Head of the Master's program M-TI and works within the Automation Technology Laboratory. His research areas include exploration algorithms, self-localization of mobile robots, complexity reduction in mobile systems, cooperative robots, and SLAM methods. He has led third-party funded projects like ASR (2009-2013, BMBF), SiReSS (2019-2021, IFAF), and CARS (2021-2023, IFAF). Scientific awards include the Borchers Plaque (RWTH Aachen) and IEEE Senior Membership. His teaching covers modules like Autonomous Mobile Systems (AMS) in winter semesters. Development of intelligent algorithms for cleaning robots Secure Reconfigurable Systems of Systems Corporate Autonomy based on Reliable Services

• Serious Games
• User Experience Design (UXD)
• Affective Computing
• +۷ مورد دیگر

Anna-Sofia Alklind Taylor is a Senior Lecturer in Computer Science at the School of Informatics, University of Skövde, Sweden. Her work bridges cognitive science and technology through user experience design (UXD), serious games, and affective computing. Doctor of Philosophy, Informatics, University of Skövde Licentiate of Science, Information Technology, Örebro University Bachelor of Science, Cognitive Science, University of Skövde Her research focuses on serious games for non-entertainment purposes like rehabilitation , education , and eSports . Key projects include game-based systems for stroke rehabilitation, GPS alarms for elderly safety, and social robots for older adults. She contributes to interdisciplinary teams like Interaction Lab , GAME , and Sweden Game Arena . Recent publications highlight her expertise in game facilitation , instructor-led serious gaming , and cross-cultural studies in game design. She supervises bachelor's and master's projects in informatics, emphasizing serious games and user experience.