جستجوی استاد راهنمای دانشگاهی

João Magalhãesمشاهده پروفایل

استاد

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +۵ مورد دیگر

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Jan Theeuwesمشاهده پروفایل

استاد

• Visual Attention
• Perception
• Statistical Learning
• +۷ مورد دیگر

Jan Theeuwes is a full Professor and current Head of Department at Vrije Universiteit Amsterdam's Department of Cognitive Psychology. With over 250 peer-reviewed publications, he leads research in visual attention, statistical learning, and distractor suppression mechanisms. His work bridges fundamental cognitive science with practical applications in road design and human factors. His educational background includes: BSc in Mechanical Engineering (1981) BSc and MSc in Experimental Psychology with highest honors (cum laude) from Tilburg University (1987) PhD from Vrije Universiteit with highest honors (1992) Theeuwes' research focuses on fundamental knowledge acquisition regarding perception, attention, memory, and emotion using diverse methodologies including behavioral measurements, eye tracking, fMRI, psychophysiological recordings, patient studies, and computational modeling. His specific contributions span attentional and oculomotor capture, working memory, multimodal integration, remapping, face perception, visual search, emotion processing, unconscious processing, the attentional blink, reward processing, and applied road design research. His recent work demonstrates how statistical learning shapes attentional selection by creating predictive models of where and when to expect relevant information. Analysis of his recent publications reveals a strong focus on the neural and behavioral mechanisms of learned distractor suppression, with particular emphasis on how statistical regularities in the environment shape attentional priority maps. His research increasingly integrates electrophysiological methods with behavioral paradigms to uncover the temporal dynamics of attentional selection and suppression processes. His notable scientific achievements include: Election to the Royal Dutch Academy of Science (KNAW) in 2010 Receiving the first Bertelson Award for outstanding psychological research from the European Society for Cognitive Psychology in 2001 Serving as president of ESCOP (European Society for Cognitive Psychology) from 2016 to 2018 Theeuwes serves as principal advisor to the Dutch Department of Transportation (Rijkswaterstaat) regarding road design and signing. In 2023, he co-founded Attention Architects with two former PhD students, a company applying eye-tracking research to practical settings. His work has received substantial research funding supporting his investigations into attentional mechanisms and their real-world applications. Theeuwes has established collaborations across multiple institutions and mentored numerous researchers who have gone on to establish their own careers in cognitive science. He leads the Cognition Team at Vrije Universiteit Amsterdam, which investigates fundamental attentional processes using cutting-edge methodologies. The team maintains strong connections with applied research settings through projects with government agencies and industry partners, particularly in transportation safety. Their current work focuses on how statistical learning dynamically shapes attentional selection in complex visual environments.

Minjoon Seoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Minjoon Seo is an Associate Professor at KAIST AI, Korea Advanced Institute of Science and Technology. He holds a BS in Electrical Engineering & Computer Science from UC Berkeley and previously worked as a software engineer at Oracle. His research focuses on natural language understanding, large-scale end-to-end question answering, and multimodal AI systems combining language and vision. Research Interests: His work spans Natural Language Processing, Machine Learning, Deep Learning, and Language-Vision integration. He develops neural network architectures for machine comprehension and multimodal understanding, with applications in question answering systems and diagram interpretation. Publications: His research demonstrates a consistent focus on multimodal AI systems, with recent works advancing neural approaches to machine comprehension and diagram understanding. Publications show strong emphasis on NLP-CV integration and practical applications in healthcare and education. Awards: Best Paper Nomination at UbiComp 2014 for BiliCam research Professional Activities: Maintains active open-source contributions through GitHub repositories related to question answering systems and NLP research. Co-founded Config Intelligence while maintaining academic position.

• Crowdsourcing
• Human-Computer Interaction
• Digital Health
• +۷ مورد دیگر

Simo Hosio is an Academy Research Fellow (2022-2027) and Professor of Computer Science and Engineering at University of Oulu's Center for Ubiquitous Computing, where he leads the Crowd Computing Research Group. He also maintains a visiting position at University of Tokyo, Japan. Having graduated as the first Finnish scholar under Microsoft Research Cambridge's Ph.D. scholarship program, he has published over 150 peer-reviewed scientific articles spanning two decades of research. Hosio's research spans three primary domains: crowdsourcing methodologies, human-computer interaction, and digital health applications. His work pioneers novel approaches to online labor markets, investigates the suitability of crowdsourcing for diverse applications, and explores HCI aspects of digital health solutions for chronic conditions. His research group, founded in 2020, has secured nearly two million USD in funding, demonstrating significant research impact and recognition. Analysis of Hosio's recent publications reveals a strong trend toward interdisciplinary research at the intersection of crowdsourcing, healthcare technology, and emerging AI systems. His work increasingly focuses on practical applications of crowd computing in health contexts, with growing attention to mental health, women's health, and workplace well-being solutions. The integration of AI and machine learning techniques with traditional HCI approaches represents another significant trajectory in his recent scholarship. Distinguished Paper Award (2024) Best Paper Honourable Mention Award (2022) PMCJ Best Research Paper (awarded in 2024) Best Paper Award (2022) Best Full Paper Award (2015) Honorable Mention Award (2014) Best Paper Presentation award (2010) As an educator, Hosio has taught Human-Computer Interaction (2019-2025) to over 260 students in 2024, Social Computing (2018-2021) to approximately 60 students annually, and Applied Computing (2015-2018) to around 50 students each year. His research group's nearly two million USD in secured funding demonstrates significant grant acquisition success, supporting innovative work at the intersection of crowd computing, health technology, and human-centered AI systems. The Crowd Computing Research Group, founded by Hosio in 2020, represents a significant research infrastructure focused on advancing methodologies for crowd-powered systems. The group's work spans from fundamental research on crowd labor markets to applied projects in healthcare, workplace well-being, and social computing, demonstrating a strong commitment to both theoretical advancement and practical impact.

Pedro Ferreiraمشاهده پروفایل

استاد

• Business Model Innovation
• Cultural Management
• Digital Display Systems
• +۳ مورد دیگر

Pedro Ferreira is a Professor at Iscte Business School, ISCTE - IUL, Lisbon, Portugal. His academic work spans multiple disciplines including business model innovation, cultural management, digital display systems, and consumer behavior. Key research areas: Business Model Innovation, Cultural Management, Digital Display Systems Interdisciplinary work: Healthcare Management, Energy Efficiency, Sensory Marketing Notable collaborations: Rock in Rio, Ferreira's de Castro Cultural Complex His publications demonstrate ecosystem-based approaches to cultural economics, with applications in virtual reality exhibitions and sustainable business practices. Recent work focuses on technology integration in perfume exhibitions and energy efficiency strategies. Earlier research includes pharmacological studies on P2X7 receptors in colitis and foundational financial accounting textbooks. He has analyzed group buying systems in Portugal and explored intersections between management theory and art. Academic contributions span 45 years, with a 2024 patent on digital display systems and a 1979 report on tomato industry economics. Current affiliations include: Iscte Business School ExecED at ISCTE INDEG-ISCTE Edifício INDEG-ISCTE, Lisbon

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

Sandra C. Soaresمشاهده پروفایل

دانشیار

• Social Cognition
• Emotion Processing
• Psychophysiology
• +۷ مورد دیگر

Sandra C. Soares is an Associate Professor with Habilitation at the University of Aveiro, Department of Education and Psychology, and a Researcher at Karolinska Institutet's Department of Clinical Neuroscience. Her academic career spans over 15 years, with continuous contributions to cognitive neuroscience, emotion processing, and social cognition research. Dr. Soares' research interests focus on understanding how emotions such as fear and disgust impact behavior, psychophysiology, and neural processing. She employs a multisensory approach (primarily visual and olfactory stimuli) to investigate these phenomena, examining how emotional processes interact with cognitive functions like attention and memory. Her work integrates evolutionary theories with both basic and applied research settings, including clinical disorders such as Psychotic Disorders, Autism Spectrum Disorders, Social Anxiety Disorders, and Phobias. She maintains strong interdisciplinary collaborations with computer science experts to develop personalized and preventive mental health care systems. Analysis of her recent publications reveals a consistent focus on the intersection of emotion, perception, and cognition, with particular emphasis on how threat-related stimuli are processed. Her work spans multiple methodologies including psychophysiological measurements, behavioral experiments, and neuroimaging techniques. A significant portion of her research examines olfactory-emotional interactions and their implications for understanding social cognition in both neurotypical populations and clinical conditions. Dr. Soares leads the Social Cognition and Body Odors Team, where she combines experimental-cognitive approaches with clinical applications. Her research has significant implications for understanding the mechanisms underlying social cognition deficits in clinical populations and developing more effective interventions. With 199 publications and over 37,000 reads on ResearchGate, her work has garnered considerable attention in the scientific community, with 1,411 citations reflecting its impact in the field.

Pedro U. Limaمشاهده پروفایل

استاد

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +۴ مورد دیگر

Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.

Rita Coelho do Valeمشاهده پروفایل

دانشیار

• Consumer Behavior
• Marketing
• Decision-Making Processes
• +۷ مورد دیگر

Rita Coelho do Vale is an Associate Professor of Marketing at CATÓLICA-LISBON School of Business and Economics, Universidade Católica Portuguesa, where she serves as Dean for Undergraduate Programs and Director of the Behavioral Insights Unit. She holds a Ph.D. in Marketing from Tilburg University, an MBA from Faculdade de Economia-UNL, and a Licenciatura in Economics from Universidade Nova de Lisboa. Her research centers on consumer behavior, with a focus on decision-making, self-regulation, impulsive buying, and sustainable consumption. Rita has published extensively in leading journals such as the Journal of Consumer Research , Journal of Business Ethics , and Journal of Product & Brand Management . Her work explores how consumers regulate behavior, respond to ethical claims, and are influenced by packaging and brand strategies, particularly in private label and fair trade contexts. The trend in her recent publications shows a strong emphasis on behavioral insights, integrating psychology with marketing to understand subtle influences on consumer choices, including package size deception, copycat branding, and moral licensing. Her research often employs experimental and cross-cultural methods. Scientific Roles and Leadership: Dean for Undergraduate Programs, CATÓLICA-LISBON Director, Behavioral Insights Unit Oversees LERNE (Laboratory of Experimental Research in Economics and Management), PEO (Online Research Panel), and OSP (Observatory of the Portuguese Society) Teaching: She teaches Consumer Behavior, Services Marketing, and Research Methodologies across undergraduate, master’s, and executive education programs, including customized corporate programs. Grants and Research Leadership: As Director of the Behavioral Insights Unit, she leads a multidisciplinary team conducting experimental and applied research in consumer and economic behavior. She has contributed to national and international research initiatives, though specific grants are not listed in the source text. Labs and Teams: She leads the Behavioral Insights Unit, which integrates experimental, online, and societal observation platforms to advance behavioral research in marketing and economics.

Olivia Petitمشاهده پروفایل

مدرس

• Consumer Neuroscience
• Sensory Marketing
• Digital Marketing
• +۴ مورد دیگر

Dr. Olivia Petit is a Lecturer and researcher in Marketing at KEDGE Business School specializing in consumer neuroscience, sensory marketing, and digital marketing. Her research employs advanced methodologies including functional magnetic resonance imaging (fMRI) studies to investigate mental imagery and multisensory interactions in consumer experiences. Her research interests focus on consumer neuroscience , sensory marketing , digital marketing , AR/VR applications , and food marketing . Dr. Petit examines how sensory cues influence consumer behavior, particularly in digital environments, with emphasis on visual, auditory, and tactile elements that shape consumer experiences and decision-making processes. Analysis of her recent publications (2021-2024) reveals a strong trajectory toward multisensory digital experiences , ethical considerations in customer experience , and advanced applications of extended reality in marketing contexts. Her work bridges neuroscience, psychology, and business applications with particular focus on food and beverage marketing. Scientific recognition includes: Nestlé Foundation award (2012) EMAC McKinsey Marketing Dissertation Award (2015) Dr. Petit has established significant collaborations with researchers across Europe and has published in top-tier journals spanning marketing, neuroscience, psychology, and food science domains. Her work demonstrates a consistent focus on understanding the cognitive and sensory mechanisms underlying consumer behavior in both traditional and digital contexts. Her laboratory work incorporates advanced technologies including virtual reality systems and neuroimaging techniques to explore how multisensory cues influence consumer perception, decision-making, and behavior in retail and online environments.

• Human-Machine Interaction
• User Experience
• Law and Rights in the Digital Society
• +۷ مورد دیگر

Nuno Guimarães is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology in the School of Technology and Architecture. He is also an Integrated Researcher at ISTAR-Iscte, where he leads the 'Digital Living Spaces' research group. He previously served as Dean of the Faculty of Sciences at the University of Lisbon (2003–2009), Pro-Rector (2012–2013), and Vice-Rector (2014–2018) at ISCTE-IUL, demonstrating extensive academic leadership. Aggregation in Computing, University of Lisbon (1999) PhD in Electrical and Computer Engineering, Instituto Superior Técnico, Technical University of Lisbon (1992) MSc in Electrical and Computer Engineering, Instituto Superior Técnico (1987) BSc in Electrical Engineering, Instituto Superior Técnico (1983) His research focuses on human-machine interaction, user experience, and the intersection of digital technologies with law, rights, and cultural diversity. He explores how technology can be designed to be more inclusive, ethical, and cognitively supportive, often using neurophysiological methods such as EEG to assess usability and mental workload. His recent publications (2024–2009) show a consistent trajectory in interdisciplinary research combining computer science, cognitive science, and legal informatics. Key themes include data privacy in microservices, normative systems in digital society, EEG-based usability analysis, and interactive learning environments. The works demonstrate a strong emphasis on practical tools, real-world applications, and the societal implications of digital technologies. ACM Senior Member (since 2012) Chair of the Board of ISOC (PT) (2021–2025) Guimarães has held numerous academic management roles, including Director of ISTAR-Iscte and the Master’s program in Information Systems Management. While no direct student advising list is provided, his extensive collaborations and leadership in research projects suggest active mentorship. His work bridges technical innovation with social responsibility, particularly in digital rights and inclusive design. He has led and contributed to research in areas such as interactive architecture, media façades, digital talking books, and judicial dialogue systems. His team, 'Digital Living Spaces,' focuses on creating intelligent, adaptive environments that respond to human behavior and cognitive states, integrating insights from architecture, computing, and neuroscience.

Susana Araújoمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Cognitive Neuroscience
• Reading Acquisition
• +۳ مورد دیگر

Susana Araújo serves as Associate Researcher at CICPSI Research Unit within the University of Lisbon's Faculty of Psychology. She coordinates the Cognition in Context Group (CO2) since 2023 and holds Senior Investigator status in the Memory & Language team, specializing in neurocognitive mechanisms of reading acquisition and disorders using EEG-ERPs and eye-tracking methodologies. Education: PhD in Experimental and Cognitive Psychology (University of Algarve, Portugal; Donders Institute, Netherlands) Postdoctoral Fellowships (2012-2017) Her research critically examines literacy's impact on cognitive systems through investigations of visual word recognition , reading disorders , and rapid automatized naming . Current work explores how handwriting training influences graph recognition and identifies neurophysiological markers of dyslexia using multimodal assessment tools. Publication trends reveal sustained focus on cross-population comparisons (literate/illiterate adults) and meta-analytic approaches to naming-speed deficits. Her work bridges cognitive neuroscience with educational interventions, particularly in developmental dyslexia contexts. Scientific Recognition: FCT Postdoctoral Fellowship (2012-2017) FCT-Investigator Starting Grant (2017-2021) with highest Career Development score FCT CEEC-Ind Individual Contract She directs multiple FCT-funded projects including LEMON (2020-2024; €158,684) as Principal Investigator and VOrtEx (2018-2021; €183,590) as Co-PI. Her grant portfolio spans developmental dyslexia characterization, orthographic processing, and statistical learning deficits across eight funded projects since 2007. As CO2 Group Coordinator, she integrates multiple research teams under CICPSI while maintaining collaboration with the Max Planck Institute for Psycholinguistics where she served as Visiting Researcher in 2015.

Luca Molteniمشاهده پروفایل

استادیار

• Data Analysis
• Predictive Modeling
• Business Analytics
• +۵ مورد دیگر

Luca Molteni is an Assistant Professor at the Department of Decision Sciences at Bocconi University and a Faculty Member of the MBA program at SDA Bocconi School of Management. He has been collaborating with SDA Bocconi since 1987 and served as the Department of Decision Science Liaison Officer at SDA Bocconi School of Management since January 2017. His academic work focuses on data analysis, predictive modeling, and their applications in marketing and strategic decision-making. His research spans statistical methods for customer satisfaction, market positioning, segmentation, and quantitative analysis in business contexts. He has contributed to publications like International Journal of Design & Nature and Ecodynamics and Economia & Management , emphasizing practical data science applications in banking and pharmaceutical industries. His works highlight the integration of Big & Small Data analytics into business strategy, marketing research, and CRM systems. Selected Publications Co-edited a comprehensive marketing research book with Gabriele Troilo (2022) Authored chapters on product positioning, market segmentation, and quantitative research (2022) Published an article on data science roles in Economia & Management (2021)

• intelligent systems
• Machine Learning
• evolutionary algorithms
• +۴ مورد دیگر

Teresa Cristina de Freitas Gonçalves is an Associate Professor at the Department of Informatics, School of Sciences and Technology, University of Évora, where she has been employed since 1999. She serves as an integrated researcher at the ALGORITMI research centre and is the Director of the VISTA Lab (Video, Image, Speech and text Analysis Lab), the unit of the ALGORITMI research centre at University of Évora. Her leadership roles include Director of the Master programme in Informatics Engineering and deputy Director of both the Master programme in Artificial Intelligence and Data Science and the Doctoral program in Computer Science. She earned her PhD in Computer Science from University of Évora and a MSc degree in Informatics Engineering from New University of Lisbon. Her academic journey at University of Évora has included significant leadership positions including Head of the Computer Science Department (2011-2015), Director of the Bachelor programme in Informatics Engineering (2016-2021), and Deputy Director roles for various undergraduate and graduate programs. Dr. Gonçalves' research focuses on intelligent systems, particularly Machine Learning approaches, with substantial contributions in evolutionary algorithms, information extraction and retrieval, and supervised learning across multiple data modalities including tabular data, text (in both Portuguese and English), and images (medical and satellite). Her work bridges theoretical advances with practical applications in healthcare, remote sensing, and natural language processing. She has successfully supervised 6 doctoral theses, 19 master theses, and 3 postdocs, and currently mentors 5 doctoral and 6 master students from diverse international backgrounds including Bangladesh, Cabo Verde, Nepal, Philippines, India, Sri Lanka, China, Mongolia, and Portugal. Her publication record includes over 100 scientific articles indexed by Scopus with 640 citations and an h-index of 12, demonstrating significant international impact with 56% of her work involving international collaboration. Her recent research shows a strong trend toward applying advanced machine learning techniques to healthcare applications, information retrieval systems, and remote sensing analysis, with particular emphasis on transformer networks, learning-to-rank methodologies, and multimodal data analysis. Dr. Gonçalves has made substantial contributions to the academic community through her service as a reviewer for over 50 articles in prestigious international journals and conferences, and as chair for major international conferences including IDEAL 2023, PROPOR 2020, SKIMA 2017 and 2018, and CLEF 2016. She serves on the board of APRP (Associação Portuguesa de reconhecimento de Padrões) and as a jury member for APRP prizes for best MSc and PhD theses. Her current research portfolio includes coordination of the Horizon Europe MSCA Staff Exchange HarmonicAI project and local coordination of WP6 in the NewSpace Portugal mobilising agenda. She is also actively involved in numerous other international research initiatives including Interreg VI-B Sudoe SenforFire, PRR CANTE, La Caixa INCOME, Erasmus+ KA220-HED REDINEST, Interreg POCTEP TID4AGRO, and ATTRACT DIH projects. Previously, she led the FCT AI in the Public Administration SNS24.Scout.IA project and coordinated the FEDER R&D NIIAA project. As Director of the VISTA Lab, Dr. Gonçalves leads a dynamic research team focused on video, image, speech, and text analysis. The lab serves as the Évora hub of the ALGORITMI research centre and has established strong international collaborations. Under her leadership, the VISTA Lab has developed innovative approaches in medical image analysis, natural language processing for Portuguese, and satellite image classification, with applications spanning healthcare, environmental monitoring, and public administration.

Kimin Leeمشاهده پروفایل

استادیار

• Safe and capable decision-making agents
• Physical AI
• Reinforcement Learning from Human Feedback
• +۹ مورد دیگر

Kimin Lee is an assistant professor at the Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), where he focuses on developing safe and capable decision-making agents. His research spans multiple aspects of artificial intelligence with a strong emphasis on safety and reliability. Dr. Lee completed his educational journey at KAIST, earning a Ph.D. in Electrical Engineering with a focus on Machine/Deep Learning (2015-2020), advised by Professor Jinwoo Shin. He also holds a Master's degree in Electrical Engineering (Wireless Communication Networks, 2013-2015) and a Bachelor's degree in Electrical Engineering (2009-2013), both from KAIST. His primary research interests include: Physical AI - developing AI systems that can interact safely and effectively with the physical world Alignment - particularly reinforcement learning from human feedback (RLHF) and scalable oversight techniques Monitoring - safety evaluation frameworks and benchmarking for AI systems LLM Agents - enhancing the capabilities and safety of large language model-based agents Dr. Lee's recent publications reveal a strong trajectory toward addressing critical challenges in AI safety. His work consistently bridges theoretical advances with practical applications, particularly in the areas of reinforcement learning, computer vision, and natural language processing. A notable trend in his research is the development of methods to evaluate and enhance the safety of AI systems, especially large language models and diffusion models, while maintaining or improving their capabilities. As an active member of the academic community, Dr. Lee serves as an area chair for major conferences including NeurIPS, ICLR, and ICML, and regularly reviews for top-tier AI venues. He has also organized workshops focused on safe and trustworthy AI agents. Dr. Lee's research group at KAIST appears to focus on AI safety and decision-making, with research projects spanning from theoretical foundations to practical implementations of safe AI systems. His collaborative work with institutions like UC Berkeley and Google Research demonstrates the interdisciplinary nature of his research approach.