جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Computer Graphics
• Machine Learning
• +۱۱ مورد دیگر

Andrea Tagliasacchi is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU), where he holds the Visual Computing Research Chair. He is also a part-time (20%) Staff Research Scientist at Google DeepMind in Toronto and holds an associate professor (status only) appointment in the Department of Computer Science at the University of Toronto. Education: PhD in Computing Science – Simon Fraser University (NSERC Alexander Graham Bell Fellow) Postdoctoral Research – École Polytechnique Fédérale de Lausanne (EPFL) MSc in Computer Science – Politecnico di Milano (Gold Medalist) His research lies at the intersection of computer vision, computer graphics, and machine learning, with a focus on 3D visual perception. Key areas include neural radiance fields (NeRF), 3D Gaussian splatting, inverse rendering, and geometric deep learning, with applications in robotics, augmented reality, and autonomous systems. His work emphasizes robust and efficient scene understanding and reconstruction from visual data. His recent publications, appearing in top venues like CVPR, SIGGRAPH, NeurIPS, and ECCV, demonstrate a strong emphasis on neural fields, 3D reconstruction, and generative modeling. Trends include improving rendering efficiency, enhancing robustness to noise and distractors, and enabling controllable and 3D-aware generation. His group has made significant contributions to Gaussian splatting, NeRF optimization, and diffusion-based 3D/4D synthesis. Scientific Awards: 2024 CVPR Best Paper Award (Honorable Mention) 2020 CVPR Best Student Paper Award 2015 SGP Best Paper Award NSERC Alexander Graham Bell Canada Graduate Scholarship MITACS Best Paper Award (SIGGRAPH Asia 2009) NSF Best Poster Award (SGP 2012) He has advised numerous PhD and MSc students, many of whom are now researchers at leading institutions and companies. His research has been supported through collaborations with Google, Intel, and academic partners. He serves the community as a Senior Area Chair for CVPR 2025, Associate Editor for IEEE TPAMI (2024–2026), Guest Editor for IEEE TPAMI on 3D GenAI, and Program Chair for 3DV 2024. He leads a vibrant research lab at SFU focused on pushing the boundaries of 3D scene understanding with machine learning.

Thomas Mayerمشاهده پروفایل

پژوهشگر

• Digital Transformations
• Scaled Agile Transformations
• Enterprise Architecture Management
• +۱ مورد دیگر

Thomas Mayer is a Doctoral Researcher affiliated with the Professorship for Information Systems and Digital Innovation at the University of Hamburg Business School. His research focuses on Digital Transformations in industrial organizations, Scaled Agile Transformations, Enterprise Architecture Management, and Generative Artificial Intelligence (GenAI) Development. He holds an office at Von-Melle-Park 5, Room 3091, and can be contacted via thomas.mayer@uni-hamburg.de. His recent publications explore financial management challenges in agile transformations within automotive manufacturing and the application of GenAI in industrial contexts. Mayer collaborates with Prof. Dr. Recker and other researchers on case studies involving German automotive firms. His work bridges theoretical frameworks with practical implementation challenges in digital innovation and organizational change.

Ohad Friedمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer Vision
• Generative AI (GenAI)
• +۵ مورد دیگر

Ohad Fried is an Associate Professor of Computer Science at Reichman University. He was previously a postdoctoral research scholar at Stanford University under Prof. Maneesh Agrawala and completed his PhD with Prof. Adam Finkelstein as part of the Princeton Graphics group. He holds an M.Sc. in Computer Science and a B.Sc. in Computational Biology from The Hebrew University. His research lies at the intersection of computer graphics, computer vision, and Generative AI , focusing on tools, algorithms, and paradigms for photo and video editing and synthesis . His work has been widely recognized in top conferences including CVPR, SIGGRAPH, and ECCV, with recent contributions to tiled diffusion models, expressive 4D facial motion generation, and synthetic image detection. Ohad has received numerous awards, including the Israel Science Foundation personal research grant (2021) , the Outstanding faculty researcher at Reichman University (2022) , and the Siebel Scholar award (2017) . He has advised multiple students in research projects, and his work is covered by media outlets like Wired , The Washington Post , and CNN . Teaching roles include courses at Reichman University such as "GenAI for Games & Entertainment" and "Synthetic Media Detection", and at Stanford University "Computational Video Manipulation". Key Research Themes: Neural Rendering Diffusion Models 3D Facial Animation Image/Video Editing Media Forensics Scientific Awards: ISF Personal Grant (2021) Siebel Scholar (2017) Google PhD Fellowship (2014-2016) Gordon Y.S. Wu Fellowship (2012-2013) Excellence Scholarships

• Generative AI in education
• AI ethics
• Performance management
• +۲ مورد دیگر

Mike Perkins is an Associate Professor and Head of the Centre for Research & Innovation at the British University Vietnam (BUV). He holds a PhD in Management from the University of York, UK, with research on performance management in local police service delivery. His current research focuses on generative AI (GenAI) in education, academic integrity, and performance management. Education: PhD in Management (University of York, UK, 2013), Senior Fellow of Higher Education Academy (2019) Research Interests: GenAI in education, AI ethics, academic integrity, and public sector management. His work bridges technology, education, and academic ethics, with a focus on AI assessment tools and synthetic media challenges. Scientific Awards: St Andrew’s Global Research Fellow (2025–2026) Visiting Scholar at Werklund School of Education, University of Calgary (2026) 2024 Paper of the Year – Journal of University Teaching and Learning Practice Prof. Tracey Bretag Academic Integrity Award (2024 Honored, 2025 Shortlisted) BUV President's Research Award (2023) BUV President's Teaching Award (2019) Grants: Led the International Science Partnership Fund (£80,000, 2024–2026) for GenAI integration in Vietnamese higher education. Co-led Going Global Partnerships (£80,000, 2023–2025) for digital transformation in Vietnamese universities.

• Visual Computing
• Computer Vision
• Computer Graphics
• +۱۱ مورد دیگر

James Tompkin is a visual computing researcher focusing on computer vision, computer graphics, and human-computer interaction. His lab develops techniques for image and video creation, editing, analysis, and interaction, emphasizing image and scene reconstruction from multi-camera systems and complex dynamic scenes. Applications span 2D, multi-view, and VR/AR displays. His research interests include scene reconstruction, neural rendering, light fields, time-of-flight sensors, and perceptual design for augmented reality. He works on algorithms for depth estimation, view synthesis, and interactive systems. His publications demonstrate expertise in neural fields, Gaussian splatting, and light field processing for VR/AR applications. Key themes include machine learning for scene flow estimation, efficient rendering of large-scale environments, and improving generative model stability.

Dana-Kristin Mahمشاهده پروفایل

استادیار

• Educational Technology
• Artificial Intelligence in Education
• Digital Transformation in Higher Education
• +۵ مورد دیگر

Dana-Kristin Mah is a Junior Professor for Digital Teaching and Learning at Leuphana University of Lüneburg. Her research focuses on educational technology, artificial intelligence in education, and digital transformation in higher education. She explores topics such as AI literacy, open educational resources (OER), learning analytics, and instructional design. Research Areas: Educational Technology, AI in Education, Digital Transformation, Learning Analytics, OER Her recent publications highlight trends in AI-driven pedagogy, digital mindset development for educators, and the integration of generative AI with learning analytics. She has received fellowships from Forschungskolleg KI-Kompetenzen and Zia – Visible Women in Science. Projects: Artificial Intelligence in Education (Germany/Denmark), GenAI-Natives (teacher training for generative AI), and Digital-Didactic Potentials in Transformation. Her work bridges technology and pedagogy, emphasizing practical applications for enhancing teaching and learning experiences.

Michael Harrمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Recruiting
• Digitalization and digital Transformation of Human Resource Management
• +۴ مورد دیگر

Michael Harr is a doctoral researcher and research assistant at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Chair of Business Informatics and Integrated Information Systems. His work focuses on artificial intelligence, digital transformation of HR management, enterprise systems, new work arrangements, and digital communication. He has published extensively on these topics in leading journals and conferences. Education: M.Sc. in Business Information Systems (2020-2023), University of Duisburg-Essen B.Sc. in Business Information Systems (2016-2020), University of Duisburg-Essen His research explores the intersection of AI and human-centric systems, including studies on retail service robots, intelligent HRIS, generative AI in MOOCs, and user annoyances in voice assistants. Recent publications analyze digital communication trends and digitalization challenges in the construction sector. Publications: Harr has contributed to key areas such as retail automation, HRIS optimization, and AI-driven e-learning, with a focus on practical applications and theoretical frameworks. Supervised Theses: Exploring ChatGPT for MOOCs AI in Knowledge Management Technostress and Quiet Quitting Taxonomy of AI Recruitment Tools Talent Recruitment on Social Networks Labs and Teams: Harr is involved in the Retail Artificial Intelligence Lab (retAIL) and SAP Innovation Lab, contributing to projects on digital transformation and enterprise systems.

Muhammad Hamad Alizaiمشاهده پروفایل

دانشیار

• Internet of Things
• Cyber-Physical Systems
• Embedded AI
• +۷ مورد دیگر

Muhammad Hamad Alizai is an Associate Professor in the Department of Computer Science at the School of Science and Engineering (SBASSE), Lahore University of Management Sciences (LUMS), Pakistan. His research spans the Internet of Things (IoT), Cyber-Physical Systems, Embedded AI, and intermittent computing, with a focus on sustainable and accessible technologies for developing regions. His research interests include energy harvesting, batteryless computing, GenAI for IoT, wireless sensor networks, and distributed systems . He explores how generative AI can democratize IoT access in low- and middle-income countries and addresses societal challenges through computational solutions. His work is supported by grants from HEC, LUMS, DAAD, and NCBC. Recent publications reveal a strong trend in intermittent computing, energy-efficient IoT, and AI-driven system optimization , with high-impact papers in ACM SenSys, IPSN, BuildSys, and CACM. His team develops innovative systems like CheckMate, Glitch in Time, and Guardian Angel, tackling reliability, security, and accessibility in transiently powered devices. Scientific recognitions include: Best Paper Candidate at ACM SenSys 2019 Audience Choice Award at ACM BuildSys 2017 Best Abstract Award at ACM SenSys 2010 He has advised numerous graduate students, including PhDs like Saad Ahmed and Samar Abbas, and leads pedagogical innovation as head of the LUMS Learning Institute , promoting teaching excellence and AI integration in education. He has served on technical committees for ACM CoNEXT, IPSN, MobiSys, and BuildSys, and organized key workshops in transient computing. His lab focuses on building privacy-preserving, energy-neutral, and AI-augmented embedded systems , particularly for applications in water, energy, and transportation in developing regions.

Elena Pilipetsمشاهده پروفایل

پژوهشگر

• Digital Media Methods
• Internet Culture Research
• Multimodal Data Analysis
• +۷ مورد دیگر

Elena Pilipets is a postdoctoral researcher in Digital Media and Methods at the Collaborative Research Center "Media of Cooperation" and currently serves as the Deputy Professor of Media Aesthetics at the Department of Media Studies, University of Siegen. Her research focuses on methodological innovations for analyzing digital phenomena through mixed-methods approaches. Key areas include: Empirical investigations of internet subcultures and platform dynamics Development of analytical frameworks for multimodal data Exploration of affective environments in digital platforms Critical analysis of synthetic media and generative AI applications Her empirical work specifically examines Tumblr memes, TikTok videos, Instagram bots, Twitter comment cultures, synthetic media, and participatory war propaganda, combining qualitative visual methods with digital and AI-based approaches. Dr. Pilipets holds significant academic appointments: Member of NFDI4Culture Steering Board (since 2023) Vice Chair of ECREA Digital Culture and Communication Section (since 2021) Editorial Researcher for Theory, Culture & Society (since 2021) In teaching, she collaborates with students in project seminars and workshops to develop digital research methods, extending these activities to international Summer and Winter Schools. Her pedagogical approach emphasizes hands-on, collaborative learning in digital media studies methodology. She has participated in major research collaborations including "Screening European Populisms" (2008-2020) examining audiovisual fiction and political affect, and the /CAT Network of European Institutes for Advanced Study.

Constantin von Brackel-Schmidtمشاهده پروفایل

پژوهشگر

• Generative AI
• Social IT
• Environmental, Social, and Governance (ESG)
• +۲ مورد دیگر

Constantin von Brackel-Schmidt is a Researcher at the Department of Computer Science within the MIN Faculty at the University of Hamburg. His work focuses on Generative AI , Social IT/ESG , IT innovation , and quantum computing implications for business and society . Contact: constantin.schmidt@uni-hamburg.de Research Interests Generative AI (GenAI) applications and development Social IT integration with ESG frameworks Quantum computing's impact on business and societal systems IT innovation management strategies

• Human-Computer Interaction
• Artificial Intelligence
• Sustainable Technology
• +۳ مورد دیگر

Dr. rer. nat. Agnes Grünerbl is a researcher at the Embedded Intelligence group within the German Research Center for Artificial Intelligence (DFKI), focusing on Human-Computer Interaction (HCI) and artificial intelligence applications. She contributes to interdisciplinary projects like STELEC (Sustainable Textile Electronics) funded by the European Innovation Council (EIC). Her work explores the integration of Generative AI (GenAI) and "Large Whatever Models" in HCI methodologies, as well as sensor-based state detection for mental health applications. Recent research includes participation in key conferences such as CHI-2024 , UbiComp-2024 , and MobileHCI-2024 , where she presented studies on AI-driven interface design, mental care standards, and mobile cognition-altering technologies. Her projects emphasize sustainability and human-centered design in emerging computing paradigms. Agnes Grünerbl is affiliated with the Embedded Intelligence lab, which develops innovative wearable and textile-based electronic systems. Her collaborations span institutions like the University of Kaiserslautern and international researchers, reflecting her focus on interdisciplinary approaches to computational challenges.

• Generative Artificial Intelligence
• Large Language Models
• Retrieval-Augmented Generation
• +۴ مورد دیگر

Jonas Witte is a PhD candidate and Research Associate at the Technical University of Munich since November 2024, focusing on the application of Generative AI in scientific research. He also serves as a Researcher at Fraunhofer-Gesellschaft since December 2024. Education : B.Sc. and M.Sc. in Information Systems from TU Darmstadt Professional Experience : Internships at PwC, Accenture, and zeb consulting Research Interests Use of Generative AI (GenAI) by researchers Identification of use cases and technical implementation (RAG, fine-tuning) Model comparison for understanding potentials/limitations Data security and protection challenges

Imke Grashoffمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Digital Innovation
• Information Systems
• +۳ مورد دیگر

Imke Grashoff is a Researcher at the University of Hamburg Business School , affiliated with the Professorship for Information Systems and Digital Innovation. Her work focuses on artificial intelligence (AI), digital innovation, and technology implementation within business contexts. She collaborates closely with industry partners like GuideCom and German automotive manufacturers to explore practical applications of AI solutions. Her research interests include AI system design, GenAI development challenges, and the strategic adoption of low-code platforms. Grashoff’s recent publications analyze case studies in telecom and automotive sectors, emphasizing real-world implementation strategies and organizational challenges. She is part of Prof. Dr. Recker’s research group, contributing to interdisciplinary projects at the intersection of business administration and information systems. Grashoff holds a doctoral researcher position and has presented at major conferences such as the International Conference on Information Systems (ICIS) and ECIS. Her work bridges theoretical research with actionable insights for enterprises adopting emerging technologies.

Yves T. Staudenmaierمشاهده پروفایل

پژوهشگر

• Physical Signal Processing
• AI Algorithms in Security
• Generative Artificial Intelligence (GenAI)
• +۳ مورد دیگر

Yves T. Staudenmaier is a PhD Candidate and Academic Staff Member at the University of Mannheim's School of Business Informatics and Mathematics, affiliated with the Chair of Practical Computer Science IV (Dependable Systems Engineering led by Prof. Dr. Armknecht) and InES (led by Dr. Christian Bartelt). His research focuses on physical signal processing, AI-driven security solutions, GenAI applications, wireless networks, and smart home security systems. Education: M.Sc. Business Informatics (2021–2023, University of Mannheim); B.Sc. Business Informatics (2017–2020, DHBW Mannheim). Professional experience includes working as an IT Systems Engineer at SV Informatik GmbH (2017–2023). Current projects include the Physical Guards initiative exploring physical-layer security for smart homes using AI. He teaches the European Master Team Project at InES focused on this project, which will launch soon. Research interests emphasize interdisciplinary approaches combining AI with cybersecurity, with open thesis opportunities in smart home security domains.

Fenja Kuchenbuchمشاهده پروفایل

استادیار

• Educational Technology
• Teacher Training
• Generative Artificial Intelligence
• +۲ مورد دیگر

Dr. Fenja Kuchenbuch is a Junior Professor for Digital Teaching and Learning at Leuphana University Lüneburg. She specializes in educational technology, teacher professionalization, and generative AI applications in education. Her current research focuses on the GenAI-Natives project, where she designs teaching materials and analyzes interview data on AI's impact in classrooms. Education: Ph.D. in Education, Leuphana University Lüneburg (2020-2025) Master of Education in History, English & Pedagogy, European University of Flensburg (2017-2019) Bachelor of Arts in Education, Europa-Universität Flensburg (2014-2017) Research interests center on competency-based teaching frameworks, digital learning tools, and generative AI integration in teacher training programs. Her work emphasizes qualitative studies of teaching perception and task-oriented pedagogy. Publications focus on teacher professionalization, with her 2025 monograph examining competency development in English language instruction. Conference presentations consistently address AI's transformative role in education and task-oriented teaching methodologies. Active in multiple research projects: GenAI-Natives (2025-2027): Developing AI training resources for educators ZZL Network 2.0 (2019-2023): Theory-practice integration in teacher education