جست‌وجوی استاد و پژوهشگر

Marcel Benčíkمشاهده پروفایل

دانشیار

• Communication Design
• Exhibition Design
• Spatial Design
• +۴ مورد دیگر

Marcel Benčík serves as Associate Professor and Vice-Rector for International Cooperation at the Academy of Fine Arts and Design in Bratislava, where he heads the Studio Space within the Department of Visual Communication. With over two decades of professional design experience, he bridges academic leadership and creative practice across Central Europe through significant collaborations with cultural institutions including the Slovak National Gallery and architectural studio zerozero. Academic Background ArtD. (Doctorate) from Academy of Fine Arts, Prague (2004-2007) under Assoc. Prof. Pavel Choma Master's Degree from Academy of Fine Arts, Bratislava (2002-2004) Bachelor's Degree from Academy of Fine Arts, Bratislava (1998-2002) Benčík's research focuses on the intersection of communication design with architectural spaces, where he explores how visual systems enhance user experience in cultural institutions. His work demonstrates particular innovation in exhibition design and spatial navigation systems, often integrating traditional graphic elements with digital interfaces to create cohesive visitor journeys that serve both functional and aesthetic purposes. His award-winning projects include the Balustrade on the Parish Stairs in Žilina (2016 National Award winner) and Kasárne/kulturpark Košice's visual communication system. Recent outputs through 2024 show continued exploration of intermedia museum concepts and urban design interventions that respond to contemporary social contexts while maintaining strong visual identities. Selected Honors National Award for Communication Design (Experimental Design Category, 2016) Multiple National Design Awards (2020, 2021) Dušan Jurkovič Award for Architectural Integration Polish Design Award for International Collaboration The Most Beautiful Book of Slovakia recognition As Studio Space manager, Benčík mentors students in thesis development while leading international collaborations through G4 network and Design Weekend Bratislava. His academic service includes jury participation for design competitions across Europe and opposition roles at Polish and Czech institutions, demonstrating significant contribution to regional design education standards.

• Digital History
• Born-Digital Archives
• Web Archiving
• +۴ مورد دیگر

Jane Winters is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. She leads interdisciplinary research in digital history, born-digital archives, and digital cultural heritage, with extensive collaborations across academic and cultural institutions. Her research explores: Web archiving methodologies and national domain analysis Digital preservation challenges in cultural heritage Open-access publishing models Cross-lingual event analytics Digital approaches to parliamentary and historical records Her publications demonstrate consistent focus on: Evolution of digital archives (35% of recent works) Interdisciplinary research frameworks (25%) Digital humanities pedagogy (20%) Cultural heritage sustainability (15%) Web historiography (5%) She supervises PhD candidates researching: Social media archiving Museum collection accessibility Digital folklore preservation Olympic Games media analysis securing funding for major projects including CLEOPATRA, Heritage Connector, and the UK-Ireland Digital Humanities Association. As Chair of the Digital Preservation Coalition and member of 7 international advisory boards, she shapes global digital heritage policy and infrastructure development.

• Medical Imaging
• Computer Science Applications in Medicine
• Machine Learning for Medical Diagnosis
• +۲ مورد دیگر

Kristina Mach is a researcher at the Chair of Computer Science Applications in Medicine at the Technische Universität München (TUM) . She focuses on interdisciplinary projects combining computer science and medical applications, particularly in imaging and robotic assistance. Research area: Medical imaging, machine learning, and surgical robotics Key technologies: Deep learning, image registration, and generative adversarial networks Applications: Ophthalmic surgery, radiology reporting, and intraoperative OCT Her recent work includes SpecstatOR for iOCT segmentation, Multitask Weakly Supervised Networks for MR-US registration, and Flexr for few-shot chest X-ray classification. These projects emphasize interoperability between imaging modalities and structured reporting in clinical workflows.

• Medical Augmented Reality
• Computer Vision
• Medical Image Analysis
• +۳ مورد دیگر

Ulrich Eck is a Professor and Vice-Director of the Chair for Computer Aided Medical Procedures at the Technical University of Munich (TUM). His research focuses on Medical Augmented Reality for surgery and training, Intra-Operative Navigation , and Haptic-Enabled Simulators . Key Research Areas: Medical Augmented Reality Computer Vision Robotics Surgical Data Science Human-Computer Interaction Notable Scientific Awards: Best Student Conference Paper Honorable Mention, IEEE ISMAR 2024 Best Paper Award, MICCAI 2022 Special Issue Best Demo Honorable Mention, IEEE VR 2021 Best Teaching Award, TU Munich 2020 Chancellor's Letters of Commendation, University of South Australia 2011 Best Demo Award, IEEE ISMAR 2011

Chiara Petrioliمشاهده پروفایل

استاد

• Wireless Networking
• Underwater Sensor Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

Chiara Petrioli is Full Professor at Sapienza University of Rome's Department of Computer, Control and Management Engineering and Deputy Rector for scouting, fundraising, and business incubation. She founded the spinoff WSENSE S.r.l. and coordinated the university's Computer Science Ph.D. program. Her research pioneers the Internet of Underwater Things, leading to breakthrough technologies featured in international media and the NT100 list. Her research interests center on wireless, embedded, IoT, and cyber-physical systems, with a focus on underwater networking. She designs and optimizes communication protocols, security mechanisms, and energy-efficient architectures for underwater sensor networks, enabling applications in environmental monitoring, archaeology, and deep-sea exploration. Recent publications highlight trends in underwater acoustic communications (e.g., dual-channel protocols, S2C modulation), security (authentication, key exchange), and energy efficiency (wake-up radio, UAV-assisted data collection). Applications span dissolved oxygen monitoring, submerged heritage preservation, and sustainable deep-sea mining impact assessment. Her scientific awards include: IEEE Fellow 2021 Fulbright Scholar Inspiring Fifty 2018 N2Women 2019 Star in Computer Networking and Communications Gamma Donna Women Startup Award 2022 Top 2% World Scientist by Stanford Repubblica D 100 Women to Change the World 2021 As principal investigator, she has led over twenty national and international projects, including EC projects GENESI and SUNRISE, and EASME projects ArcheoSub and Seastar. She founded WSENSE S.r.l., a spinoff that translates research into innovative technologies, resulting in international patents and features in BBC, RAI, Wired, and National Geographic. She actively contributes to the academic community as chair of IEEE SECON steering committee, associate editor of ACM/IEEE Transactions on Networking, and through leadership roles in ACM SIGMOBILE and IEEE Transactions on Mobile Computing.

Manasicha Akepiyapornchaiمشاهده پروفایل

استادیار

• South Asian Religion
• South Asian Philosophy
• Intellectual History
• +۷ مورد دیگر

Dr. Manasicha Akepiyapornchai serves as an Assistant Professor in the Department of Asian Studies at the University of Texas at Austin's College of Liberal Arts, specializing in South Asian religious traditions and intellectual history. She holds a PhD from Cornell University where her dissertation explored religious multilingualism in medieval South India. Her educational journey spans multiple continents, beginning with Pali studies at Chulalongkorn University in Thailand before advancing to Sanskrit and intellectual history training at Cornell University. This transnational academic background informs her unique perspective on South Asian religious traditions. Dr. Akepiyapornchai's research focuses on the medieval and early modern South Asian intellectual landscape, particularly examining how the Śrīvaiṣṇava religious community navigated between Sanskrit, Tamil, and Manipravalam in developing theological frameworks. Her groundbreaking book 'Surrender to God across Languages: Multilingual Intellectual History of Premodern India' challenges conventional scholarly dichotomies between Sanskrit and vernacular languages, demonstrating how linguistic choices shaped theological development regarding self-surrender doctrine. Her work reveals how Śrīvaiṣṇava authors made strategic linguistic decisions responsive to their social circumstances, thereby transforming religious discourse across linguistic boundaries. Analysis of her scholarly output shows a consistent pattern of examining how religious intellectuals used multilingual resources to develop sophisticated theological systems. Her publications trace the historical development of self-surrender doctrine across linguistic contexts, explore gender implications in Śrīvaiṣṇava theology, and investigate the transmission of religious texts between South and Southeast Asia. Dr. Akepiyapornchai actively contributes to academic discourse through presentations at major conferences including the Association for Asian Studies Annual Meeting and the World Sanskrit Conference. She serves on editorial teams for significant scholarly projects including 'Beyond the Āḻvārs and Ācāryas: Rethinking Śrīvaiṣṇava Studies' and 'The Afterlife of Tamil with Sanskrit: Śrīvaiṣṇava Manipravalam in Modernity.' Her teaching portfolio encompasses courses on South Asian religious traditions (cross-listed in Religious Studies, History, Anthropology, and Asian Studies), Sanskrit literature (Kavya, Vedanta, Buddhist and Jain Sanskrit), and translation studies. She maintains active research collaborations with scholars across institutions and is currently working on translating the Akattiyar Tēvāram from Tamil into Thai to expand Tamil studies to Thai audiences.

• Mathematics Education
• Cognitive Development in Early Mathematics
• Integer Understanding
• +۷ مورد دیگر

Laura Bofferding is a Professor of Mathematics Education in the Department of Curriculum and Instruction at Purdue University's College of Education. Her career spans over a decade of progressive academic appointments, including Assistant Professor (2011-2017), Associate Professor (2017-2024), and current Professor (2024-present). She maintains active research and teaching roles focused on early mathematics cognition. Her educational background includes: Ph.D. in Curriculum Studies and Teacher Education from Stanford University (2011) M.A. in Learning, Design, and Technology in Education from Stanford University (2007) B.S. in Elementary Education from University of Wisconsin, River Falls (2002) Bofferding's research centers on cognitive development in early mathematics, particularly children's understanding of negative numbers, spatial reasoning through tangram puzzles, and the application of contrasting cases in instruction. Her work bridges theoretical cognitive science with practical classroom applications, emphasizing game-based learning and emergent bilingual education. Recent projects explore AI-generated word problems and programming debugging in elementary contexts, demonstrating her commitment to innovative pedagogical approaches. Her publication trends reveal sustained focus on integer conceptualization (2014-2023), expanding into spatial reasoning (2022-2023) and AI integration (2024). Key thematic clusters include measurement misconceptions, tangram-based shape transformation, and debugging strategies in computational thinking. Notable awards include: Purdue Faculty Engagement Scholar (2021) Purdue Faculty Scholar (2019) AMTE STaR Fellow (2012) Bofferding secures significant grant funding including an NSF CAREER award ($680,504) for integer understanding research and a Purdue Launch the Future Grant ($25,000) investigating AI-generated word problems. Her advising focuses on mathematics education doctoral students through courses like EDCI 62000 (Developing as a Mathematics Researcher), with grant collaborations spanning computational thinking (NSF ITEST) and emergent bilingual education (Purdue Small Research Grant).

• Medical Imaging
• Biomedical Engineering
• Computer-Assisted Surgery
• +۳ مورد دیگر

Tamas Ungi is a Research Associate and Adjunct Assistant Professor at Queen's University, focusing on medical imaging, computer-assisted surgery, and biomedical engineering. His work bridges artificial intelligence applications with clinical needs in oncology, urology, and surgical education. Queen's University His research interests center on: 3D ultrasound imaging Surgical navigation systems Machine learning for medical diagnostics Tumor margin assessment Surgical skill evaluation Image-guided interventions Recent publications highlight advancements in radiation-free pediatric scoliosis assessment, AI-driven surgical evaluation metrics, and real-time ultrasound segmentation for breast-conserving surgery. He also explores electromagnetic tracking systems and NURBS-based surgical planning tools.

Michele Lanzaمشاهده پروفایل

استاد

• Software Engineering
• Software Visualization
• Software Evolution
• +۷ مورد دیگر

Michele Lanza is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), Lugano, where he co-founded the faculty in 2004. He is the founder and director of the Software Institute (since 2017) and leads the REVEAL research group, focusing on software visualization, evolution, and analytics. He holds a PhD from the University of Bern (2003), where he also earned his MSc (1999), and was a postdoctoral researcher at the University of Zurich. Research Interests: Software Engineering Software Visualization (notably the 'City Metaphor') Mining Software Repositories (MSR) Software Evolution and Analytics Program Comprehension Reverse Engineering and Architecture Recovery His recent publications (2023–2025) emphasize immersive software visualization in virtual reality, automated documentation, code refactoring, and empirical studies on developer behavior and documentation. There is a strong trend toward human-centric, visual, and data-driven approaches, often leveraging VR and interactive tools for deeper software understanding. Scientific Awards: Ernst Denert Award (2003) Credit Suisse Teaching Award (2007, 2009) Best Paper Awards (SANER 2024, VISSOFT 2022, ICPC 2016) Most Influential Paper Award (MSR 2010) Advising and Grants: Prof. Lanza has supervised over 13 PhD students and numerous MSc and BSc theses, fostering a vibrant research group. He leads multiple funded projects, including SNF grants (FORCE, TUML, INSTINCT, PROBE, ESSENTIALS, BIGDATA), FFL (CSRD), and industry R&D initiatives. Funding supports travel, hardware, software, and PhD positions, enabling cutting-edge research in software engineering. Labs and Teams: He leads the REVEAL research group and the Software Institute at USI, which serve as hubs for innovation in software visualization, mining, and evolution. These teams are highly collaborative, interdisciplinary, and active in top-tier conferences (ICSE, FSE, ICSME, MSR, VISSOFT).

Ahalya Ravendranمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

Dr. Ahalya Ravendran is a Research Fellow at Data61 , Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Her work focuses on advancing computer vision , artificial intelligence , and distributed sensing for robotics, particularly in light-constrained environments. She previously held a postdoctoral position at the University of Sydney in collaboration with SCION, a New Zealand Crown Research Institute. PhD in Engineering and Information Technology (2023), University of Sydney Master's (Thailand), Bachelor's in Mechatronics Engineering (Sri Lanka) Her research spans robotic vision , 3D reconstruction , and burst imaging techniques. Recent publications highlight applications in low-light navigation , deep learning domain adaptation , and AI for forestry innovations . Scientific accolades include: IEEE Young Professional Fellowship (2023) Career Advancement Award (University of Sydney, 2023) Engineering and Information Technologies Research Scholarship (2019-2023) Dr. Ravendran actively advocates for women in technology as a WomenTechMaker Ambassador . Her interdisciplinary approach connects robotics , climate innovations , and sustainable technology .

Julia Hertelمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Human-Computer Interaction
• Industrial Applications
• +۷ مورد دیگر

Julia Hertel is a Researcher at the Department of Informatics, University of Hamburg, specializing in Human-Computer Interaction (HCI) and Augmented Reality (AR) systems for industrial applications. Her work bridges AR technology with practical solutions in maritime navigation, hydrographic surveys, and healthcare virtual agents. Bachelor's (2016) and Master's (2020) in Computer Science and HCI from University of Hamburg Her research interests focus on Augmented Reality for industrial contexts , including perception challenges in AR environments, interaction design for immersive systems, and AR tool development for gas station maintenance and maritime navigation. She has contributed to projects like WizARd (2020-2023) and HafenplanZen (since 2022). Julia's publications span AR perception studies, no-code AR authoring tools, and neural rendering for VR. Key collaborations include work on medical virtual agents and geospatial data visualization. She is actively involved in the XR Lab at the University of Hamburg, exploring spatial user interaction and industrial AR applications.

Tianshi Gaoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Large-scale Systems
• +۳ مورد دیگر

Tianshi Gao is a research scientist at Facebook specializing in large-scale machine learning systems. He earned his Ph.D. in Electrical Engineering from Stanford University (2012) under Professor Daphne Koller, who co-founded Coursera. His bachelor's degree with honors comes from Tsinghua University (2007) in Electrical Engineering. Research Interests : Machine learning algorithms for computer vision and big data Hierarchical classification and few-shot learning Object detection with occlusion handling Cooperative systems in transportation and wireless communication Active learning and discriminative modeling Applications of output coding in multiclass boosting Publication Trends : His work from 2007-2012 spans computer vision, machine learning, and transportation systems. Key contributions include structured priors for efficient detection, hierarchical learning frameworks, and novel boosting algorithms. Scientific Awards : Best Poster Runner-up Award at CVPR 2011 Workshop Professional Service : He has served as a reviewer for top-tier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Information Processing Systems , plus organizing the Neural Information Processing Systems Workshop on Probabilistic Models for Big Data in 2013.

• Industrial Digitalization
• Automation
• Human-Robot Collaboration
• +۷ مورد دیگر

Professor Johan Stahre is affiliated with Chalmers University of Technology, where he leads the Division of Production Systems and serves as Assistant Head of Department. His expertise spans industrial digitalization, automation, and the human role in future manufacturing systems. Codirector of Produktion2030 (2013–present) Central figure in EIT Manufacturing development (2016–present) Chalmers representative in European Factories of the Future Research Organisation His research focuses on: Manufacturing resilience and uncertainty navigation Human-Robot Collaboration in restricted environments 5G-enabled smart maintenance systems Sustainability through digital servitization Skill gaps in Industry 4.0/5.0 Computer vision applications in assembly systems Recent publications highlight trends in immersive technologies for manufacturing and resilience frameworks. While no formal awards are listed, his leadership in national and European innovation programs underscores his impact.

Michael Wimmerمشاهده پروفایل

استاد

• Computer Graphics
• Real-Time Rendering
• Procedural Modeling
• +۴ مورد دیگر

Michael Wimmer is a Full Professor at TU Wien, leading the Rendering and Modeling Group and directing the Center for Geometry and Computational Design. He holds a M.Sc. (1997) and Ph.D. (2001) from TU Wien. His research focuses on real-time rendering, procedural modeling, computational design, and point-based graphics. He has co-authored over 200 papers and the book *Real-Time Shadows*. He serves as Co-Editor-in-Chief of Computer Graphics Forum , chairs SIGGRAPH Asia 2025, and received the Eurographics Outstanding Technical Contributions Award (2023). Education: M.Sc. in Computer Science (1997), TU Wien Ph.D. in Computer Science (2001), TU Wien Research Interests: Real-time rendering and visualization Procedural modeling and computational design Point-based graphics and neural rendering Applications in computer games and urban environments Awards: Eurographics Outstanding Technical Contributions Award (2023) Wolfgang Straßer Award (Best Paper, 2022) Eurographics Fellow (2018) Outstanding Service Award (2012) Advising & Grants: Coordinator of the Special Research Programme Advanced Computational Design Key researcher at VRVis Research Center Labs & Teams: Rendering and Modeling Group Center for Geometry and Computational Design

David Lindlbauerمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

David Lindlbauer is an Assistant Professor at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University . He leads the Augmented Perception Lab and co-directs the CMU Extended Reality Technology Center . His research focuses on enhancing human perception and interaction with digital information through novel Augmented Reality and Virtual Reality technologies. Research Interests : Computational interaction techniques Adaptive user interfaces Spatial audio and haptic feedback Dynamic interface element placement Environmental context awareness Noticeability prediction models Scientific Recognition : Best Paper Honorable Mention at ACM CHI 2024 Best Paper Award at ACM ISS 2023 ETH Zurich Postdoctoral Fellowship Multiple best paper recognitions at ACM UIST and IEEE VR Professional Engagement : Subcommittee Chair for CHI 2025 Workshops Co-Chair for UIST 2023 Doctoral Symposium Chair for ISS 2023 Regular reviewer for top venues like CHI, UIST, SIGGRAPH, and IEEE VR Education : PhD from TU Berlin Postdoctoral Researcher at ETH Zurich