جستجوی استاد راهنمای دانشگاهی

Dr. Alexander Pastukhov is an Assistant Professor at the Department of General Psychology and Methodology, University of Bamberg. His research focuses on multi-stable perception , perceptual inference , and the interplay between attention and microsaccades . He develops open-source tools like saccadr , eyelinkReader , and bistablehistory for analyzing eye movements and perceptual dynamics. Research Interests : Multi-level mechanisms of perception and memory History effects in bistable perception Attentional allocation via microsaccade analysis Bayesian modeling of perceptual decision-making Scientific Awards : 2013 'Best of the Year' award from the Psychonomic Society for work on sensory memory and adaptation in structure-from-motion displays His recent software development includes probabilistic programming tools for 2D/3D transformations and eye-tracking analysis. He also contributes to applied data analysis teaching materials using R and Python. Collaborative projects with industry partners (e.g., BMW) and institutions (e.g., Fraunhofer, Orange Labs) highlight his research transfer efforts.

• Multi-stable Perception
• Perceptual Inference
• Cognitive Neuroscience
• +۷ مورد دیگر

Jiahao Jiang is an active researcher with a strong publication record spanning robotics, machine learning, and signal processing. His work appears consistently in IEEE Transactions and top-tier conferences including KDD, IJCAI, and IROS, indicating recognition within the academic community. The research pattern suggests affiliation with a Chinese research university's computer science or engineering department, though specific institutional details aren't provided in the publication records. His research interests center on applying machine learning techniques to practical engineering problems, particularly in robotics navigation and industrial signal processing. Jiang's work demonstrates particular strength in spatial-temporal learning frameworks, multi-task learning approaches, and knowledge representation techniques. Recent publications show increasing focus on contrastive learning methods for robot perception and navigation, as well as innovative approaches to partial label learning and knowledge graph embeddings. Analysis of his publication trends reveals a clear trajectory from foundational work in trajectory simplification and data mining (2017-2019) toward more sophisticated AI applications in robotics and industrial systems (2020-2025). His work bridges theoretical machine learning advances with practical engineering applications, particularly in autonomous systems and industrial monitoring. The consistent collaboration with researchers like Zhelong Wang, Sen Qiu, and Jing Zhang suggests membership in a stable research group focused on AI-driven engineering solutions. While specific awards aren't documented in the provided records, the publication venues indicate work of high quality that has passed rigorous peer review processes at premier venues in computer science and engineering. The progression from conference papers to IEEE Transactions publications demonstrates growing research maturity and impact. Jiang's research appears to focus on practical applications of AI in robotics and industrial systems, suggesting work within a laboratory environment equipped for robotics experimentation and industrial signal processing. The consistent themes across publications indicate a well-defined research trajectory with increasing technical sophistication over time.

• Robotics
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Lotta Rahlf is a Doctoral Candidate in the EU-wide Marie Skłodowska-Curie Doctoral Network VORTEX and Researcher in the PrEval project at the Peace Research Institute Frankfurt (PRIF), where she contributes to the Radicalization, Terrorism, and Extremism Prevention Research Group. Her work bridges academic research and policy implementation in European security contexts, with doctoral registration at Goethe University Frankfurt under supervisors Julian Junk, Tore Bjørgo, and Christopher Daase. Her educational background includes an MLitt in Terrorism and Political Violence from the University of St Andrews (2022) and a B.A. in International Relations from the University of Groningen (2021), supported by DAAD and German National Academic Foundation scholarships. Rahlf's research centers on institutionalizing evaluation frameworks within Preventing and Countering Violent Extremism (P/CVE), analyzing how knowledge management structures vary across European nations. She investigates causal factors behind evaluation efficacy, including terrorist attack exposure and civil society involvement, while exploring conspiracy theories as radicalization catalysts and media framing of terrorism-affiliated returnees. Her methodology combines Qualitative Comparative Analysis with policy transfer studies. Recent publications reveal a sharp focus on P/CVE evaluation gaps, European policy fragmentation, and emerging threats like AfD's potential impact on German extremism prevention. She systematically documents challenges in measuring causally complex security phenomena while advocating for stable funding and professionalization in democracy promotion. Her scientific recognition includes: The Lord Sedwill Handa CSTPV Dissertation Prize (2022) German Academic Exchange Service (DAAD) Scholarship (2021-2022) German National Academic Foundation Scholarship (2018-2023) Supported by the EU Horizon Europe-funded VORTEX network and PrEval project, Rahlf actively transfers knowledge through policy workshops with German federal institutions and contributes to public discourse via media outlets like Frankfurter Rundschau and MDR. She co-leads international expert surveys on P/CVE evaluation systems while presenting findings at forums like the European Expert Network on Terrorism Issues. As a core member of PRIF's Radicalization Research Group and the VORTEX consortium, she drives cross-institutional collaboration through events like the Nordic Conference on Violent Extremism, focusing on methodological innovation in radicalization research and European security policy coherence.

• Preventing and Countering Violent Extremism (P/CVE)
• Radicalization Studies
• Evaluation of Security Policies
• +۵ مورد دیگر

Sean Follmer is an Associate Professor in the Department of Mechanical Engineering at Stanford University's School of Engineering. He leads a research group focused on human-computer interaction with particular emphasis on haptic interfaces, shape-changing displays, and accessibility technologies. His work bridges mechanical engineering principles with interactive systems design to create novel physical interfaces. Follmer completed his PhD at MIT Media Lab in 2015, where he worked on shape displays and tangible interfaces. His doctoral research laid the foundation for his ongoing work in dynamic physical interfaces that can change form to provide rich haptic feedback and tangible interaction. His research interests span several interconnected areas: haptic interfaces that provide touch-based feedback in virtual environments; shape-changing displays that dynamically alter their physical form; tangible user interfaces that leverage physical objects for digital interaction; and accessibility technologies, particularly for blind and visually impaired users. Recent work has increasingly focused on making data visualization and educational tools accessible through multimodal and tactile interfaces. His approach often combines mechanical design, control systems, and user-centered design to create systems that extend human perception and interaction capabilities. Analysis of his recent publications reveals a strong trend toward accessibility applications, particularly in education for blind and low-vision users, while maintaining technical depth in haptics and physical interface design. His work on electroadhesion, swarm robotics for haptic feedback, and non-visual interaction techniques demonstrates both theoretical rigor and practical application. The interdisciplinary nature of his research bridges mechanical engineering, computer science, and design. As a mentor, Follmer has supervised numerous students who have gone on to publish as first authors in top HCI venues. His lab appears to foster collaborative work, with many publications involving multiple students and cross-institutional collaborations. While specific grant information isn't visible in the publication record, the volume and diversity of projects suggest substantial research funding from multiple sources. Follmer's lab focuses on physical computing and interactive systems, with particular expertise in actuation mechanisms for shape displays, haptic feedback systems, and accessibility technologies. The research group appears to maintain strong connections with both the mechanical engineering and computer science communities, participating in conferences across these domains. Recent work suggests growing interest in the ethical implications of sensory substitution technologies and the social dimensions of interactive systems.

• Haptic interfaces
• Tangible user interfaces
• Shape-changing displays
• +۴ مورد دیگر

Yuliang Xiu is a tenure-track Assistant Professor at Westlake University's AI department, leading the 远兮实验室 (endless.do) as PI. His research focuses on democratizing human-centric digitization through advancements in computer vision, graphics, and machine learning. Previously, he completed his Ph.D. at Max Planck Institute for Intelligent Systems under Prof. Michael J. Black, funded by the CLIPE Marie Sklodowska-Curie fellowship. His work bridges vision and graphics to achieve scalable, photorealistic 3D human digitization. Education: Ph.D., Max Planck Institute for Intelligent Systems (2025, advised by Michael J. Black & Dimitrios Tzionas) M.Sc., Shanghai Jiao Tong University (2019, advised by Cewu Lu) B.Eng., Shandong University (2016, advised by Lu Wang) Research Interests: His work emphasizes human-centric digitization , including 3D clothed human reconstruction, generative AI for garments, and training-free methods. His lab explores foundational models for scalable avatar creation, aiming to make human digitization accessible to all. Recent projects include Easi3R (dynamic motion estimation), ETCH (clothed body fitting), and ECON (explicit-implicit hybrid modeling). He advocates for generalizable, photorealistic systems that align with real-world constraints. Publications Trends: Over 15+ peer-reviewed papers, with 2025 highlights including ICCV and SIGGRAPH contributions. His work is characterized by innovations in: 3D reconstruction from single images/videos Implicit/explicit representation hybrids LLM-driven garment editing Efficient finetuning via butterfly factorization Awards & Recognition: 2025 China3DV Rising Star Award Best in Show (SIGGRAPH RTL 2020) CVPR Highlight 2023 Organized ECCV 2024 workshop on Foundation Models for 3D Humans Advising & Mentorship: Successfully mentored 3 master students into top PhD programs (TUM, MBZUAI, HKU). Actively hiring postdocs, PhDs, and researchers for lab expansion. Labs & Teams: Leads the 远兮实验室 (endless.do), focusing on democratizing human digitization through open-source tools and foundational research. Key contributions include the ECON, TADA, and TeCH frameworks.

• Computer Vision
• Computer Graphics
• 3D Human Digitization
• +۷ مورد دیگر