جست‌وجوی استاد و پژوهشگر

Karol Chlastaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Artificial Neural Networks
• Machine Learning
• +۷ مورد دیگر

Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.

Tineke Snijdersمشاهده پروفایل

دانشیار

• infant language development
• neuroimaging
• EEG
• +۷ مورد دیگر

Dr. Tineke Snijders is an Associate Professor in the Department of Cognitive Neuropsychology at Tilburg University's Tilburg School of Social and Behavioral Sciences. Her research focuses on unraveling the brain mechanisms underlying language and communication development, with particular emphasis on individual differences in neural processing and the interaction between brain, social, and cognitive development. Dr. Snijders' research expertise spans infant language development , neuroimaging , EEG methodology , and neural oscillations . She investigates how infants' brains track speech rhythms and how this neural tracking relates to language acquisition, with particular interest in how social cues like eye gaze influence these processes. Her work examines maturational constraints on infants' ability to attend to temporal patterns in speech and how this affects language learning. Her recent publications (2023-2024) demonstrate consistent output in high-impact journals, focusing on neural tracking of speech in infants, the effects of visual cues on language processing, and maturational constraints on language acquisition. These works reveal trends toward increasingly sophisticated methodologies examining multimodal aspects of infant language processing in naturalistic contexts. Veni grant from Netherlands Organisation for Scientific Research (NWO) Vidi grant from Netherlands Organisation for Scientific Research (NWO) 2024-2028 Dr. Snijders supervises research in cognitive neuropsychology with a focus on infant language development. Her lab conducts cutting-edge research using EEG to examine neural mechanisms of language acquisition, supported by competitive NWO funding. The research environment emphasizes interdisciplinary approaches combining cognitive neuroscience, developmental psychology, and linguistics to understand the foundations of human language. Her research group operates within the Department of Cognitive Neuropsychology, utilizing advanced neuroimaging facilities to investigate how infants' brains process speech and how this relates to language development. The research has implications for understanding typical and atypical language development, with connections to autism spectrum disorders as indicated by her research fingerprint.

Philipp Bruneمشاهده پروفایل

استاد

• Artificial Intelligence
• Facial Emotion Recognition
• Cybersecurity
• +۵ مورد دیگر

Professor Dr. Philipp Brune serves as a prominent academic leader at Neu-Ulm University of Applied Sciences (HNU), holding multiple key positions including Academic Head of TTZ Günzburg, Head of the Master of Artificial Intelligence and Data Analytics program, Head of the Centre for Secure IT Applications and Infrastructures, and Head of the Institute of Agile Product and System Development within the Faculty of Information Management. His career demonstrates a notable transition from physics research (evident in his early 2000-2004 publications) to his current focus on cutting-edge information systems and artificial intelligence. Dr. Brune's research program spans several interconnected domains with particular emphasis on facial emotion recognition systems, legacy system modernization, and secure IT infrastructure development. His work investigates fundamental challenges in AI interpretability, data quality for emotion recognition, and practical approaches to modernizing legacy applications. He has made substantial contributions to understanding the limitations of current facial expression recognition technologies and developing more robust, trustworthy alternatives. Analysis of his recent publications reveals a clear research trajectory toward explainable and trustworthy AI systems, with increasing sophistication in addressing data quality issues and model interpretability challenges. His work bridges theoretical computer science with practical applications across healthcare, marketing, and smart city technologies, demonstrating strong translational research capabilities. As an educator, Dr. Brune has developed innovative pedagogical approaches specifically tailored for non-computer science majors, with research examining student motivation in programming courses and effective methods for teaching cybersecurity concepts. His leadership in the Master of Artificial Intelligence and Data Analytics program shapes curriculum development for next-generation AI professionals. Dr. Brune directs multiple research initiatives including the Centre for Secure IT Applications and Infrastructures, which addresses critical cybersecurity challenges in modern IT environments, and the Institute of Agile Product and System Development, which explores innovative software development methodologies. His collaborative research approach is evident through extensive co-authorship networks spanning multiple institutions and disciplines.

Greg Maguireمشاهده پروفایل

استاد

• Animation
• Facial Animation
• 3D Animation
• +۴ مورد دیگر

Professor Greg Maguire serves as Professor of Animation at Belfast School of Art, Ulster University. His work bridges academic research and industry practice in animation and visual effects. His research interests focus on facial animation, 3D animation techniques, and AI applications in animation . Key areas include deep learning for audio-driven facial animation, spectral mesh processing, and the intersection of animation with literary adaptation. His work demonstrates strong industry relevance through collaborations with major studios. Professor Maguire's recent publications reveal trends toward AI integration in animation pipelines , with significant focus on facial animation systems and neural network applications. His work spans academic research (peer-reviewed articles) and industry practice (game development, visual effects). Professor Maguire actively promotes industry-academia collaboration through initiatives like Northern Ireland's animation cluster 'Toody Threedy' and partnerships with Northern Ireland Screen, Skillset, and US-based companies. His work includes developing flexible learning programs for animation professionals. He has established significant industry connections through work with Lucasfilm Animation, Industrial Light & Magic, and Walt Disney Feature Animation, contributing to major productions including Avatar and Harry Potter films.

• STEM Education
• Educational Technology
• Machine Learning in Education
• +۳ مورد دیگر

Roberto Araya Schulz is a Full Professor at the University of Chile's Institute of Advanced Studies in Education, with a 44-hour working week. He holds a PhD from the University of California (1986) and an MSc from University of Chile (1979). Specializes in STEM education and educational technology Primary research areas: Machine learning in education, cognitive development, gamification His recent publications focus on: Integrating digital platforms in primary education Embodied cognition through hand puppets in math classes Large language models for spatial reasoning development Teacher discourse analysis using neural networks Key research grants include: FONDECYT Postdoctorate (2024-2027) on educational technology integration FONDECYT Exploration Projects (2024-2028) for dialogical teaching strategies IDRC funding (2017-2019) for digital tools in education

• Wireless Networks
• Mobile Systems
• Network Protocols
• +۳ مورد دیگر

Lili Qiu is a Professor in the Department of Computer Science at the University of Texas at Austin and Vice Managing Director of Microsoft Research Asia (Shanghai). She previously worked at Microsoft Research Redmond (2001-2004). Her research spans wireless networks, mobile systems, and network protocols, with recent work in acoustic sensing and AI-driven networking solutions. Research Focus Qiu's research addresses fundamental challenges in: Wireless network performance and interference management Mobile system optimization for real-world environments Acoustic-based localization and tracking technologies Deep learning applications for network reliability Next-generation cellular architectures (5G and beyond) Publication Trends Her recent publications (2020-2023) demonstrate a shift toward multimodal sensing systems combining acoustics and computer vision, edge intelligence optimization, and robust mobility management for next-generation networks. This reflects industry-academia convergence through her dual appointments. Awards and Honors IEEE Fellow (2017) ACM Fellow (2018) National Academy of Inventors Fellow (2022) N2Women: Stars in Networking (2017) ACM Distinguished Scientist (2013) NSF CAREER Award (2006) Best Paper Awards: ACM MobiSys 2018, IEEE ICNP 2017 Leadership and Affiliations She bridges academic research and industrial innovation through her joint appointment at UT Austin and Microsoft Research Asia, where she oversees strategic research directions in computing systems.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Associate Professor Tham Piumsomboon is a prominent researcher at the University of Canterbury's School of Product Design within the Faculty of Engineering. With a PhD in Computer Science from the same institution, their work bridges gaming, human-computer interaction, and immersive VR/MR/AR technologies to enhance user experiences and redefine lifestyle interactions. As founder of the QUADRIC Research Group, they lead initiatives addressing Aotearoa's agricultural, mental health, and sustainability challenges through intuitive intelligent user interfaces. Research focuses on the intersection of human qualia and technological design, emphasizing experiential learning, cognitive modeling, and ethical AI alignment. Key research thrusts include 'Agents' (AI autonomy levels), 'Humans' (IUIs for XR collaboration), 'Augment' (enhancing human perception), and 'Aotearoa' (local solution development). Their publications reveal strong trends in spatial interaction techniques, remote collaboration frameworks, and mental health applications of XR technologies. ACM CHI 2018 Best Paper Award for 'Pinpointing' research New and Emerging Researcher Award 2022 Extensive editorial service for IEEE TVCG, ACM SIGGRAPH, and UIST conferences As principal investigator for three major grants including 'Tōku Hoa: A Personalized Agent for Mental Health' (MBIE, 2022-2025) and 'Navigating Well-being' (Child Well-being Research Institute, 2024), they direct significant research funding toward mental health and agricultural technology. They supervise over 15 graduate students across diverse XR projects from locomotion techniques to therapeutic applications. The QUADRIC Research Group serves as their primary laboratory environment, fostering interdisciplinary collaboration between computer science, design, and clinical domains.

Sung-Eui Yoonمشاهده پروفایل

استاد

• Scalable Graphics
• Computer Vision
• Robotics
• +۶ مورد دیگر

Sung-Eui Yoon is a Professor at the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), where he leads the Scalable Graphics, Vision, & Robotics Lab (SGVR Lab). He also holds affiliations with KAIST AI, KAIST Robotics Program, and CS Robotics. His academic career spans over 15 years at KAIST, where he has established himself as a leading researcher in graphics, vision, and robotics. Dr. Yoon received his Ph.D. from the Department of Computer Science at the University of North Carolina at Chapel Hill under the advisory of Dr. Dinesh Manocha, completed a postdoc at Lawrence Livermore National Lab, and earned his B.S. and M.S. from the Department of Computer Science at Seoul National University. His academic lineage traces back to Carl Friedrich Gauss through a distinguished line of mathematicians and computer scientists. His research spans scalable graphics, vision, robotics, and AI problems, with a particular focus on real-time rendering, collision detection, motion planning, and image retrieval. Dr. Yoon's work bridges theoretical foundations with practical applications, resulting in numerous publications, tutorials, and workshops at major conferences including SIGGRAPH, ICRA, and CVPR. His publications demonstrate a consistent focus on scalability and efficiency in graphics and robotics systems, with recent work emphasizing deep learning applications in image search and advanced motion planning algorithms for robotics. His research has evolved from foundational work in massive model rendering to cutting-edge applications in robotics and AI. Among his notable recognitions are the Outstanding Paper Award at ICRA 2023, Outstanding Navigation Award Finalist at ICRA 2022, Next-Generation Scientist Award (IT category) in 2019, and Technical Innovation Award from KAIST in 2018. Dr. Yoon has advised 4 Ph.D. students at KAIST between 2007-2014 and has secured numerous research grants supporting his lab's work. He has also authored influential books including "Rendering" (2018) and "Real-Time Massive Model Rendering" (2008). His teaching portfolio includes graduate courses on Web-Scale Image Retrieval, Motion Planning, and Graduate-level Computer Graphics, as well as undergraduate courses in Computer Graphics and Data Structures.