جستجوی استاد راهنمای دانشگاهی

Heng Jiمشاهده پروفایل

استاد

• Natural Language Processing
• Data Mining
• Social Science
• +۲ مورد دیگر

Heng Ji is a Professor at the Siebel School of Computing and Data Science , affiliated with the Department of Computer Science , Electrical and Computer Engineering Department , and multiple research labs including the Coordinated Science Laboratory and Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana-Champaign. She serves as an Amazon Scholar and Founding Director of the Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE) and CapitalOne-Illinois Center on AI Safety and Knowledge Systems (ASKS) . B.A. and M.A. in Computational Linguistics from Tsinghua University M.S. and Ph.D. in Computer Science from New York University Her research bridges Natural Language Processing with Vision-Language Models , Knowledge-Enhanced LLMs , and AI for Science (e.g., chemical language modeling). She leads major multi-institutional projects such as DARPA ECOLE MIRACLE , KAIROS RESIN , and DEFT Tinker Bell , while advising governments (U.S. Air Force Data Analytics Expert Panel) and industry (Amazon, Google, IBM). Her work on multimodal reasoning, agent-based systems, and chemical language models (e.g., mCLM ) has been supported by NSF, DARPA, and corporate partners. Recent publications (2025) focus on LLM agents , vision-language integration , and scientific knowledge acquisition . Awards include NSF CAREER , IEEE Intelligent Systems' AI's 10 to Watch , and multiple Outstanding Paper Awards at ACL/NAACL. She advises students like Chi Han (ACL/NAACL awardee) and post-docs Xiusi Chen and Yuji Zhang , and leads the BLENDER Lab , which develops frameworks like WiNELL (Wikipedia updating) and ProteinZero (protein generation). She has also served as NAACL Secretary and Program Co-Chair for ACL-IJCNLP2022. Outstanding Paper Award at ACL2024 Two Outstanding Paper Awards at NAACL2024 Young Scientist by World Laureates Association (2023-2024) AI's 10 to Watch by IEEE (2013) NSF CAREER (2009) Google/IBM/Bosch Research Awards

Fethiye Irmak Doganمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Fethiye Irmak Dogan is a Postdoctoral Research Associate at the University of Cambridge's Department of Computer Science and Technology, working in the Affective Intelligence and Robotics Laboratory. She holds a Ph.D. in Computer Science from KTH Royal Institute of Technology (2023), an M.Sc. and B.Sc. in Computer Engineering from Middle East Technical University (METU). Her research focuses on human-robot interaction, continual learning, and socially appropriate robot behaviors leveraging explainability. She has conducted robotics research at KTH's Division of Robotics, Perception and Learning and collaborated internationally, including a visiting scholar stint at Georgia Institute of Technology. Education highlights include: B.Sc., Computer Engineering, METU (2015) M.Sc., Computer Engineering, METU (2018), with research at Kovan Robotics Lab Ph.D., Computer Science, KTH (2023), with visiting research at Georgia Tech Research interests emphasize deploying autonomous robots in human environments, resolving ambiguous user instructions through explainability, and enabling socially intelligent robot behaviors. Recent work explores continual learning for context adaptation, multimodal frameworks for human-robot collaboration, and vision-language models for wellbeing assessment in children. Key projects include BT-ACTION (modular instruction understanding), GRACE (LLM-driven socially appropriate actions), and STREAK (continual learning for household tasks). Her contributions span robotics, AI ethics, and human-centered design, with a focus on real-world applications in healthcare and education.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۵ مورد دیگر

Lizi Liao is an Assistant Professor at the School of Computing and Information Systems , Singapore Management University (SMU) , specializing in Artificial Intelligence and Conversational AI . Her research bridges Machine Learning , Natural Language Processing , and Multimodal Systems , focusing on proactive dialogue systems, multimodal conversational search, and task-oriented interactions. Education : PhD in Computer Science (2019) from the National University of Singapore (NUS) , advised by Professor Tat-Seng Chua . Research Interests center on principles of human conversational understanding and machine implementation, particularly in proactive conversational agents , multimodal dialogue systems , and target-driven conversation planning . Key applications include emotional support systems , intelligent shopping assistants , and learning companions . Recent Publications (2024-2025) highlight her work on LLM-based proactive dialogue , multimodal emotion recognition , and dynamic graph modeling , often integrating NLP , Multimedia , and Knowledge Graphs . Collaborative projects with her CoAgent Lab team emphasize human-AI interaction and ethical response generation . Scientific Awards : Google South Asia & Southeast Asia Research Award 2023 Lee Kong Chian Fellow Teaching includes Visual Analytics for Business Intelligence (undergraduate) and Text Analytics and Application (graduate). She also serves as Associate Editor for TOIS and TOMM , and organizes tutorials at ACL , SIGIR , and WSDM .

• Business Informatics
• Artificial Intelligence
• Business Intelligence
• +۱۰ مورد دیگر

Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

Holly Braniganمشاهده پروفایل

استاد

• Language Production
• Dialogue
• Language Development
• +۶ مورد دیگر

Holly Branigan is a Professor of Psychology of Language and Cognition at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences. Her research focuses on language production, dialogue, child language development, and bilingualism. She holds a Personal Chair and has led numerous grants including projects on conversational alignment in children with autism, language experience effects on development, and syntactic priming in dialogue. Her teaching includes undergraduate courses on Psychology of Language and postgraduate modules on Dialogue. She supervises PhD students in topics like syntactic processing, bilingualism, and interactional linguistics. Branigan has secured over £10M in research funding from bodies like the ESRC and EU, leading projects such as 'How does language experience support language development?' (2018–2023) and 'AThEME: Advancing European Multilingual Experience' (2014–2019). Her work explores how speakers adapt language based on social context, interlocutor traits, and cognitive factors. Key achievements include a 7-year ESRC fellowship (1999–2006), and recognition for contributions to understanding syntactic processing mechanisms. She currently leads research on child language imitation in social contexts and bilingual syntactic representation.

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +۳ مورد دیگر

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

• International Relations
• Contemporary History
• Foreign Policy Analysis
• +۵ مورد دیگر

Diego S. Crescentino serves as Assistant Professor at the University of Deusto's Faculty of Social and Human Sciences, maintaining an active research profile bridging International Relations and Contemporary History. His transdisciplinary work examines foreign policy frameworks through historical lenses, with particular focus on Latin American geopolitical positioning and conceptual evolution of the Global South. Fluent in five languages (Spanish, English, German, French, Portuguese), he has conducted research stays at Columbia University, Universidade do Estado do Rio de Janeiro, University of Erfurt, and multiple Brazilian institutions. His educational foundation includes: Ph.D. in Contemporary History from Universidad Autónoma de Madrid (international mention from Columbia University) M.A. in International Relations and African Studies (Universidad Autónoma de Madrid) B.A. in Political Science and Public Administration (Universidad Nacional de Cuyo) Crescentino holds ANECA accreditation for Assistant, Associate, and Private University Professor positions across the Spanish higher education system. Research interests span critical international relations theory with emphasis on utopian narratives in political positioning, Brazilian diplomatic evolution, environmental resistance movements, and migration policy frameworks. His work challenges traditional geopolitical binaries while examining how literary sources decode postcolonial resistance. Current projects analyze how far-right populism constructs covert utopias through environmental denial and the tension between extractivist geopolitics and community resilience. Recent publications (2023-2025) reveal three key trajectories: deconstruction of Global South conceptualization through environmental agendas, analysis of academic influences on Brazilian diplomatic practice, and methodological innovations merging historical and IR frameworks. His scholarship employs qualitative analysis, process tracing, and interdisciplinary source triangulation to examine structural transformations in emerging economies and migration governance. Professional recognition includes: Juan de la Cierva Postdoctoral Fellowship (2024) at the Spanish National Research Council Margarita Salas Postdoctoral Fellowship at Catholic University of Eichstätt-Ingolstadt While specific advisees aren't documented in the provided materials, his teaching manual "Cartografías disidentes" demonstrates engagement with critical theoretical frameworks at graduate level. Research collaborations with scholars like Sergio Caballero and Gabriela de Lima Grecco indicate participation in transnational academic networks. His work with the Grupo de Estudios Internacionales de la UAM continues critical scholarship traditions established through their academic journal and master's program. Crescentino's methodological approach combines historical analysis with contemporary policy examination, particularly through oral history integration with normative frameworks. His current research examines epistemic resistance strategies in Global South conceptualization and environmental utopianism within populist movements, building on extensive fieldwork across Latin American and European academic institutions.

• Human-Computer Interaction
• Machine Learning
• Affective Computing
• +۴ مورد دیگر

Ilhan Aslan is a researcher affiliated with the University of Augsburg and DFKI GmbH , focusing on Human-Computer Interaction , Machine Learning , and Affective Computing . His work explores emotional speech interfaces , tangible interaction , and playful multimodal systems . Research Themes : Speech emotion recognition, proxemic-aware interaction, AI ethics, and user experience design. Recent Contributions : 2025 studies on proactive AI agents , voice emotion conversion , and solo role-playing AI ; 2024 work on audio enhancement and emotional trajectory modeling . His publications with Elisabeth André , Timothy Merritt , and Niels van Berkel demonstrate cross-institutional collaboration. Current projects emphasize sustainable creativity support , haptic feedback systems , and bias detection in speech AI .

Charan Ranganathمشاهده پروفایل

استاد

• Human Memory
• Executive Control
• Neuroimaging
• +۷ مورد دیگر

Charan Ranganath is a Professor in the Department of Psychology at the University of California, Davis, and director of the Dynamic Memory Lab. He is affiliated with the UC Davis Center for Neuroscience and the Center for Mind and Brain, focusing on human memory and executive control using neuroimaging, electrophysiology, and behavioral methods. His research explores the neural basis of memory, including roles of the prefrontal cortex, medial temporal lobes, and hippocampus in working and long-term memory. Education: Ph.D., Clinical Psychology, Northwestern University M.S., Clinical Psychology, Northwestern University B.A., Psychology, University of California, Berkeley Ranganath’s research spans hippocampal-cortical interactions, curiosity-driven memory enhancement, schizophrenia-related memory deficits, and computational models of memory systems. His work reveals overlapping prefrontal and medial temporal lobe activity in memory tasks and investigates how stress, aging, and neuromodulation affect memory dynamics. His research trends emphasize episodic memory , relational memory , neural oscillations , cortico-hippocampal networks , curiosity-driven learning , and clinical applications in mental illness. Scientific Awards: Guggenheim Fellowship Leverhulme Trust Visiting Professorship Laird Cermak Award Samuel Sutton Award Chancellor’s Fellow award Young Investigator Award (Cognitive Neuroscience Society) National Security Science and Engineering Faculty Fellowship (2015) He has secured grants from the Department of Defense, National Institute of Mental Health, and private foundations. His lab collaborates with Andy Yonelinas on recognition memory and with others on field potentials in hippocampal studies. He teaches Human Learning, Cognitive Neuroimaging, and Current Research in Psychology.

• Artificial Intelligence
• Autonomous Agent Systems
• Natural Language Processing
• +۶ مورد دیگر

Dirk K.J. Heylen serves as Full Professor at the Digital Society Institute within the University of Twente, holding a dual appointment in the Human Media Interaction department. His academic profile demonstrates extensive engagement in artificial intelligence research with particular focus on human-centered applications. Research interests span Artificial Intelligence, Autonomous Agent Systems, Natural Language Processing , and Knowledge Representation , with significant applications in healthcare, well-being, and social robotics. His work bridges technical AI development with societal context considerations, particularly examining human-AI interaction patterns in daily life scenarios. Recent publications reveal strong emphasis on conversational agents, virtual human interaction, and predictive health technologies. Notable scientific recognition includes the Best Student Paper award at the 22nd ACM International Conference on Multimodal Interaction (2018). His research activities demonstrate consistent output across conferences, journals, and datasets, with particular growth in healthcare applications since 2020. Professional activities include editorial work for major conferences (ICMI 2020), organization of specialized events (Narrative Matters 2018), and hosting academic visitors. His supervised work encompasses 22 research projects and multiple datasets supporting human-AI interaction studies.

• Digital Transformation
• Social Media
• Corporate Social Responsibility
• +۵ مورد دیگر

Christian Fieseler is a Professor at the Department of Communication and Culture at BI Norwegian Business School and founder of the Nordic Centre for Internet and Society. He holds a PhD in Management and Economics from the University of St. Gallen (2008), followed by postdoctoral research at Harvard University’s Berkman Center and Stanford University. His expertise spans digital transformation, corporate social responsibility, and social media’s impact on organizational identity. Fieseler’s research investigates how individuals and organizations adapt to digital disruptions, particularly in gig economies and algorithmic labor markets. Education: PhD in Management and Economics (University of St. Gallen, 2008) Postdoctoral Research: Harvard University (Berkman Center), Stanford University Research Focus: Algorithmic management and labor exploitation in gig economies Artificial intelligence ethics and governance Social media’s role in corporate social responsibility Identity construction in digital labor platforms Key Contributions: Over 40 peer-reviewed articles, including influential works on algorithmic paranoia, NFT-driven creative labor, and deliberative governance in AI. His work bridges critical theory with practical policy frameworks, addressing issues like platform accountability and digital well-being. Grants & Collaborations: Major projects with the European Union and Norwegian Research Council on digital transformation and platform economies. Leadership roles in interdisciplinary initiatives like the Nordic Centre for Internet and Society. Labs/Teams: Leads the Nordic Centre for Internet and Society, fostering research on digital ethics and societal impacts of emerging technologies.

DENG Yangمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Large Language Models
• +۷ مورد دیگر

Dr. Yang Deng is a tenure-track Assistant Professor at the School of Computing and Information Systems, Singapore Management University, and a Lee Kong Chian Fellow. Previously, he was a Postdoctoral Research Fellow at NExT++ (National University of Singapore). His research focuses on Natural Language Processing, Information Retrieval, and Large Language Models, with special interests in Proactive Conversational AI, Trustworthiness of LLMs, and Human-Centered Information Seeking. He has published over 40 papers in top-tier venues including ACL, EMNLP, WWW, and SIGIR. PhD from The Chinese University of Hong Kong (2023) Research Advisor to CHEANG Chi Seng Research Domains: Natural Language Processing Information Retrieval Large Language Models Human-Agent Interaction Digital Transformation Trustworthy AI Scientific Recognition: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2024 EMNLP 2024 Outstanding Area Chair NeurIPS 2024 Best Reviewer

Chuan Mengمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Natural Language Processing
• Conversational Search
• +۶ مورد دیگر

Chuan Meng is a researcher transitioning to a postdoctoral position at the University of Edinburgh's Natural Language Processing Group in September 2025. He obtained his PhD in Artificial Intelligence from the University of Amsterdam (UvA) in June 2025, supervised by Maarten de Rijke and Mohammad Aliannejadi. His research focuses on Information Retrieval and Natural Language Processing with Large Language Models , particularly in conversational agents, model/data-efficient neural ranking, and automatic evaluation techniques like query performance prediction. Education: PhD in Artificial Intelligence, University of Amsterdam (2025) MS in Computer Science and Technology, Shandong University (2021) BS in Electronic Commerce, Shandong Normal University (2018) His research interests span conversational search optimization, proactive agent development, knowledge-grounded dialogue systems, and query performance prediction using LLM-generated judgments. Recent work includes UniConv (unified retrieval/response generation), SOLID (intent-aware dialog generation), and QPP++ 2025 workshop organization. Key scientific contributions include 440+ Google Scholar citations (H-index: 13) and publications in premier venues like SIGIR , ACL , EMNLP , and TOIS . He has served as program committee member for SIGIR 2025/2024, ACL 2023, and other top conferences. As teaching assistant , he contributed to Information Retrieval and Natural Language Processing courses at UvA and Shandong University. His administrative roles include IRLab LinkedIn manager, webmaster for IRLab website, and seminar chair at UvA.

Henny Admoniمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Assistive Robotics
• Nonverbal Communication
• +۵ مورد دیگر

Henny Admoni is an Associate Professor in the Robotics Institute at Carnegie Mellon University (CMU), with a courtesy appointment in the Human-Computer Interaction Institute. She leads the Human And Robot Partners (HARP) Lab, focusing on assistive and collaborative robotics, particularly how robots can interpret human nonverbal cues like eye gaze to improve interactions. Her research spans healthcare, human-robot teamwork, and socially assistive robotics, supported by NSF, ONR, and industry partners. Admoni holds a PhD in Computer Science from Yale University and a BA/MA from Wesleyan University. Education PhD in Computer Science, Yale University BA/MA in Computer Science, Wesleyan University Research Interests Admoni’s work emphasizes human-centered robotics, including assistive systems for mobility-impaired users, driver situational awareness modeling, and fostering social support networks through AI. She investigates how robots can proactively learn from humans, adapt to team dynamics, and communicate transparently to build trust. Key themes include nonverbal communication, shared autonomy, and ethical design. Grants & Awards NSF CAREER Grant (2020) Okawa Research Grant (2021) A. Nico Habermann Career Development Professorship (CMU) Advising & Teaching Admoni advises graduate students on topics like robot learning, assistive systems, and human-robot teaming. She teaches courses on Human-Robot Interaction at both undergraduate and graduate levels, emphasizing interdisciplinary approaches that blend robotics, AI, and cognitive science. Labs & Projects The HARP Lab develops robots for meal preparation assistance, driving support, and socially assistive interventions. Current projects include the HARMONIC dataset for collaborative tasks and COHUMAIN for socio-cognitive architectures in human-machine teams. Admoni is on sabbatical at KTH University through 2025.

Padmali Rodrigoمشاهده پروفایل

دانشیار

• Mis/disinformation in social media
• Sustainable consumption
• Influencer marketing
• +۴ مورد دیگر

Dr. Padmali Rodrigo is an Associate Professor in Marketing at Northumbria University and Head of Postgraduate Education at Newcastle Business School. She holds a PhD, MSc, and BA(Hons) from Northumbria University. Her research focuses on digital mindfulness, social media misinformation, sustainable consumption, and pedagogical strategies using Neuro-Linguistic Programming (NLP). She leads projects like the Chartered ABS-funded study on knowledge exchange in UK business schools, which influenced policy discussions in the House of Commons. She is a Chartered Marketer and serves on diversity committees for AAA. Education: PhD (2014), MSc (2010), BA (2009) in Marketing from Northumbria University Her research explores topics such as consumer behavior in tourism, luxury brand ethics, and doctoral student engagement. Notable publications include studies on recycling behavior (Journal of Sustainable Tourism), digital resilience to fake news (Information Systems Frontiers), and proactive personality analysis (Personality and Individual Differences). She has secured grants from Chartered ABS and contributed to national policy dialogues through her research on knowledge exchange. Awards include HEA Fellowship and recognition as a global innovation leader by KEVRI.