جستجوی استاد راهنمای دانشگاهی

Gaye Stephensمشاهده پروفایل

استادیار

• Health Informatics
• Electronic Health Records
• Patient Engagement
• +۴ مورد دیگر

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.

Zixiang Xiongمشاهده پروفایل

استاد

• Machine Learning
• Image/Video Processing
• Network Information Theory
• +۷ مورد دیگر

Zixiang Xiong is a Professor and Associate Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Robert M. Kennedy '26 Endowed Professorship II. He earned his Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1996. His career includes roles at Princeton University, University of Hawaii, and Texas A&M since 1999. Education: Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign, 1996 Visiting Research Associate, Princeton University, 1995–1997 University of Hawaii, 1997–1999 Research Interests: Focuses on machine learning, image/video processing, federated learning, network information theory, biomedical engineering, and communications. His work spans distributed source coding, genomic signal processing, and energy-efficient systems. Publications & Awards: Over 200 publications, including seminal works on distributed video coding and network information theory. Notable awards include the NSF Career Award (1999), ONR Young Investigator Award (2001), IEEE Fellow (2006), and the ECE Outstanding Faculty Award (2024). His research has led to patents in video compression and multimedia systems. Grants & Advising: Active in NSF-funded projects on coding theory and energy-delay tradeoffs. Advises numerous PhD and MS students, with over 50 alumni in academia and industry. Collaborates on biomedical imaging, remote sensing, and federated learning initiatives. Labs & Teams: Leads a dynamic research group at Texas A&M, focusing on cutting-edge projects in signal processing and machine learning applications. Collaborates with industry and governmental agencies on applied research.

Frederi G. Viensمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Quantitative Finance
• +۷ مورد دیگر

Frederi G. Viens is a Professor of Statistics at Rice University, where he leads research in probability theory, stochastic processes, and their applications to finance, climate science, and agro-ecology. Previously, he was a full professor at Michigan State University (2016–2022) and Purdue University (2000–2015), serving as Department Chair and Director of Actuarial Science. His work bridges theoretical mathematics with practical problems in agriculture, economics, and nuclear physics. Education: Ph.D. Mathematics, University of California, Irvine (1996) M.S. Mathematics, University of California, Irvine (1991) Maîtrise de Mathématiques Pures, Université de Paris VII, France (1991) Research Interests: Probability Theory & Stochastic Analysis Quantitative Finance & Actuarial Science Climate Science & Bayesian Statistics Agro-ecology & Agricultural Economics His collaborative projects include climate modeling, nuclear physics simulations, and sustainable crop diversity initiatives like the DRIVES network. Awards & Honors: Fellow of the Institute of Mathematical Statistics (2012) Franklin Fellow, U.S. State Department (2010) Purdue College of Science Research Award (2013) Grants & Collaborations: Funded by the NSF, USDA, and private donors, Viens has organized major conferences and serves on editorial boards for journals like Annals of Finance . He advises transnational research groups, including Sustainability Lake Chad , addressing agrarian sustainability in West Africa. Labs & Initiatives: Founding member of the DRIVES agro-ecology collaborative and moderator of the Seminar on Stochastic Processes.

Søren Lundbye-Christensenمشاهده پروفایل

دانشیار

• Biostatistics
• Medical Statistics
• Cardiovascular Research
• +۷ مورد دیگر

Søren Lundbye-Christensen is an Associate Professor and Biostatistician affiliated with the Clinical Institute at the Faculty of Health Sciences, Aalborg University, and Aalborg University Hospital in Denmark. He specializes in biostatistical support for medical research, with a strong emphasis on cardiovascular and epidemiological studies. His research interests include biostatistics, survival analysis, cohort studies, clinical epidemiology, and statistical modeling in public health. He has contributed to a wide array of healthcare research, particularly in cardiovascular diseases, cancer, maternal health, and infectious diseases. His methodological expertise spans time-to-event analysis, registry-based research, and interval-censored data modeling. The recent publications highlight a strong trend in applying advanced statistical methods to large-scale clinical and population-based datasets. His work often involves collaboration with medical researchers to derive prognostic models, validate clinical databases, and assess public health outcomes. Key themes include cardiovascular risk, fertility, cancer biomarkers, and implementation of medical training programs. Scientific Contributions and Recognition: Published over 320 research articles and datasets. Active contributor to methodological advancements in biostatistics. Regular peer reviewer, including for journals like the R Journal. Public engagement through media appearances on statistics and health. Academic Advising and Grants: Søren has supervised 31 student theses, formally serving as PhD supervisor for 14 theses and as a biostatistical advisor for 19 others, primarily in mathematics and statistics. He has participated in numerous research projects funded through institutional and national grants, including studies on seasonal disease trends, postoperative complications, and metabolic disease prediction. His work often involves interdisciplinary collaboration across medicine, public health, and data science. Labs and Research Teams: He is embedded in collaborative research networks at Aalborg University Hospital and Aalborg University, contributing statistical expertise to clinical research groups. He is involved in projects utilizing Danish national health registries and has contributed to the development and validation of clinical databases. His work supports both hypothesis-driven medical research and methodological innovation in biostatistics.

• Cellular Neuroscience
• Systems Neuroscience
• Behavioral Neuroscience
• +۳ مورد دیگر

Prof. Laura Busse is a Professor at Ludwig Maximilian University of Munich (LMU), leading the Research Group in the Department of Biology II, Division Neurobiology. She holds roles as a Regular Member of MCN, Full Member of GSN, and Deputy Head of the GSN Examination Board. Her research focuses on cellular and systems neuroscience, particularly investigating how contextual information influences visual perception through neural circuits in mice. Key areas include feedback mechanisms, behavioral state effects, and thalamocortical interactions. Her work employs advanced techniques like high-density extracellular recordings and optogenetics to study active behavior in rodents. Current students include Simon Renner, Gregory Born, and others. Recent research highlights include studies on corticothalamic feedback effects, thalamic spatial integration, and the role of pupil dynamics in neural activity. She leads the Vision Circuits Lab (https://visioncircuitslab.org), exploring how sensory inputs and brain states shape visual processing. Her articles reveal trends in understanding thalamocortical communication, adaptive sensory systems, and the biological basis of neural network models. She coordinates the SPP2411 project on cortico-subcortical loops, emphasizing interdisciplinary neuroscience.

Andreas Richterمشاهده پروفایل

استاد

• Creativity and Innovation in Teams
• Team Processes and Dynamics
• Leadership Development
• +۵ مورد دیگر

Andreas Richter is a Professor of Organisational Behaviour at Cambridge Judge Business School (University of Cambridge), specialising in creativity and innovation in teams, leadership development, and team effectiveness. His research integrates theoretical insights with practical applications in healthcare, pharmaceutical, and financial sectors. He holds a PhD in Management from Aston University and advanced degrees from Giessen University. He advises multinational corporations and public institutions globally, including TomTom, UNICEF, and the UAE Ministry for Internal Affairs. His work focuses on enhancing team collaboration through psychological safety, leadership training, and resource distribution. Richter serves on editorial boards of top journals like the Academy of Management Journal and Journal of Applied Psychology . Key research themes include: Team processes & creative environments Leadership learning mechanisms Failure recovery systems Temporal dynamics in innovation Notable contributions include frameworks for converting workplace shame into creativity and analyzing team effectiveness through multiplex leadership networks. His 2019 study on learning from failure highlights team resource systems' role in transforming adversities into growth opportunities. Executive education expertise includes designing positive leadership programs addressing empathy and dark triad traits in management. Richter has developed innovative team-building models for organisational change, such as the 'twelve steps to heaven' framework for successful transitions.

• Anthropology of Science and Technology
• Computer Supported Collaborative Work
• Digitalization
• +۹ مورد دیگر

Vidar Hepsø is a Professor at the Department of Computer Technology and Informatics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His work bridges anthropology of science and technology with practical challenges in digitalization, energy transition, and remote operations. Research focuses on digital infrastructures, socio-technical systems, and human factors in oil and gas industries Active in NTNU Applied Information Technology and NTNU Energy Transition Initiative Publications emphasize open-source ecosystems, autonomous systems, and environmental monitoring His scholarly output spans computer-supported collaborative work, IT infrastructure governance, and risk-informed anomaly detection in subsea systems. He leads projects connecting digital innovation with offshore wind and petroleum geoscience.

Elise Lavouéمشاهده پروفایل

استاد

• Technology Enhanced Learning
• Human-Computer Interaction
• Gamification
• +۱۲ مورد دیگر

Elise Lavoué is a full Professor in Computer Science at iaelyon School of Management, Jean Moulin Lyon 3 University, and a key researcher at the LIRIS laboratory (CNRS). She leads the SICAL research team and holds leadership roles including Editor-in-Chief of the STICEF journal, member of Labex ASLAN’s management committee, and member of the University of Lyon’s Research Ethics Evaluation Committee (CER-UdL). She is also affiliated with the ATIEF association. Her research focuses on enhancing motivation and engagement in digital learning environments through adaptive gamification, learning analytics, and human-computer interaction. She explores how tailored game elements, emotional awareness tools, and immersive technologies like virtual reality can support self-regulated learning, critical thinking, and skill development in complex digital contexts. Her recent publications span top journals such as IEEE Transactions on Learning Technologies, International Journal of Human-Computer Studies, Computers & Education, and CHI PLAY. These works reflect a strong trend in adaptive and personalized learning technologies, emotion-aware systems, and immersive training environments, particularly in educational and professional settings. Honorable Mention Award at ACM CHI PLAY 2019 (top 4%) Best Industrial Paper award at CSEDU 2020 Elise Lavoué actively supervises PhD students and post-doctoral researchers and leads multiple funded projects including LudiMoodle+, RENFORCE, Lex.gaMe, BODEGA, and Emoviz. These projects involve collaborations with institutions across France and focus on gamification, VR training, emotional dashboards, and vocabulary acquisition. She has secured funding from ANR, Labex ASLAN, CNRS, and other national bodies. Her work emphasizes interdisciplinary collaboration between computer science, education, and social sciences. She is involved in several research teams and labs, primarily the SICAL team within the LIRIS laboratory, a major interdisciplinary research unit in computer science, images, and information systems. Her projects often involve industry partners such as SpeakPlus and Woonoz, and she contributes to both scientific advancement and practical educational innovation.

Lukas Engelmannمشاهده پروفایل

مدرس ارشد

• History of Epidemiology
• History of Science and Medicine
• Digital Health
• +۷ مورد دیگر

Lukas Engelmann is a Senior Lecturer at the University of Edinburgh , specifically within the Science, Technology and Innovation Studies department under the School of Social and Political Science . His research focuses on the history and sociology of biomedicine , with particular interest in epidemiological reasoning , visual cultures of disease , digital epidemiology , and decolonial approaches to medical history . The Epidemy Lab , which he founded, explores the historical development of epidemiology and its contemporary influence on data-driven public health and pandemic policy-making . Engelmann's work has been funded by prestigious grants including an ERC Starting Grant (2021-2025) for his research on the history of epidemiological reasoning, and support from the Wellcome Trust for projects examining the social dimensions of digital health . His book 'Mapping AIDS' (2018) established him as a leading scholar in medical visualization , while 'Sulphuric Utopias' (2020) with Christos Lynteris explores the technological history of maritime sanitation and its political implications. Recent publications emphasize the visual and data practices that have shaped epidemiology, including works on epidemic modeling during the COVID-19 pandemic , the history of plague mapping , and the ethical implications of digital phenotyping . He has also contributed to interdisciplinary discussions on syndemics , co-infection epistemology , and the commercialization of bacteriology in the early 20th century. His scientific contributions have earned recognition through editorial roles in journals like Big Data and Society , and collaborative projects such as 'Working with Diagrams' (2022) which investigates the epistemological role of visual tools in medical knowledge production. Scientific Awards and Funding: ERC Starting Grant (2021-2025) Wellcome Trust Institutional Support Fund British Academy/Leverhulme Small Research Grant Chancellor's Fellowship (University of Edinburgh) 'Sulphuric Utopias' listed in The Guardian's 30 Books to Understand the World (2020)

Katherine L. Milkmanمشاهده پروفایل

استاد

• Behavioral Economics
• Judgment and Decision Making
• Behavior Change
• +۲ مورد دیگر

Katherine L. Milkman is the James G. Dinan Endowed Professor at The Wharton School of the University of Pennsylvania, with secondary appointments in the Perelman School of Medicine and School of Arts and Sciences. She co-founded and co-directs the Behavior Change for Good Initiative , focusing on harnessing behavioral economics and psychology for societal benefit. Education: PhD in Computer Science and Business, Harvard University Undergraduate degree (summa cum laude) in Operations Research and American Studies, Princeton University Her research bridges behavioral economics , decision-making , and health psychology , with applications in education, finance, and public health. Recent studies explore quantification fixation , streak incentives , and diversity interventions using megastudy methodologies. Scientific awards include Thinkers50 Top 50 Management Thinker (2021, 2023) APS Fellow (2020) FABBS Early Career Award (2015) Wyss Award (Harvard, 2008) She teaches courses in decision-making and judgment research , including OIDD9950 (Dissertation) and OIDD2990 (Judgment & Decision Making Research). Media outlets like The New York Times and Nature regularly feature her work, while her podcast Choiceology disseminates behavioral economics insights to a broader audience.

Nakul Gopalanمشاهده پروفایل

استادیار

• Language Grounding
• Robot Learning
• Human-Robot Interaction
• +۳ مورد دیگر

Nakul Gopalan serves as an Assistant Professor at Arizona State University's School of Computing and Augmented Intelligence (SCAI) in Tempe, where he founded and leads the Logos Robotics Lab since joining in August 2022. His academic foundation was established through a PhD in Computer Science from Brown University completed in 2019. Education: PhD in Computer Science, Brown University (2019) Research Focus: Dr. Gopalan pioneers work at the critical intersection of language grounding and robot learning, developing algorithms that enable robots to interpret natural language instructions and learn from human demonstrations. His research directly addresses real-world usability challenges by focusing on hierarchical reinforcement learning, task planning, and human-robot collaboration frameworks that empower non-expert users to train robots for home and office environments. Key innovations include plannable representations for natural language instruction following and transfer learning techniques for robotic task execution. Publication Evolution: Recent publications (2023-2025) demonstrate accelerating specialization in language-conditioned robot learning, with 80% of his latest work exploring compositional instruction following, novice-user teaching interfaces, and explainable AI for robotics. His research trajectory shows a deliberate shift from foundational language grounding (2017-2020) toward practical human-robot collaboration systems, evidenced by increased focus on hardware-software co-design, cross-embodiment transfer, and clinical applications of explainable AI in neurology support systems. Scientific Recognition: Best Paper Award at RoboNLP workshop (Association for Computational Linguistics) 2017 RSS 2023 Best Student Paper Finalist Mentorship & Service: As lab director, Dr. Gopalan actively mentors graduate researchers while teaching core courses including Data Structures and Algorithms (CSE 310) and specialized seminars on robot learning. His significant service contributions include organizing the RSS 2021 "Robotics for People" workshop, serving as Action Editor for ICRA 2023/2024, and extensive reviewing for top-tier robotics conferences (RSS, ICRA, CORL) and AI venues (NeurIPS, AAAI). Research Infrastructure: The Logos Robotics Lab operates as his primary research vehicle, focusing on natural language interfaces for robot training, hierarchical task decomposition, and real-world deployment of language-grounded learning systems. Current projects integrate large language models with robotic control frameworks to enable zero-shot task generalization across different robot embodiments.

Michael Horn-von Hoegenمشاهده پروفایل

استاد

• Surface Physics
• Ultrafast Dynamics
• Electron Diffraction
• +۴ مورد دیگر

Prof. Dr. Michael Horn-von Hoegen is a full professor in the Faculty of Physics at the University of Duisburg-Essen , Germany. His research focuses on ultrafast structural dynamics , surface physics , and 2D materials , particularly using electron diffraction and plasmonic imaging techniques. He leads the Horn-von Hoegen Group , which plays a central role in the Collaborative Research Center CRC 1242 Non-Equilibrium Dynamics of Condensed Matter in the Time Domain , where his team investigates driven phase transitions and phonon systems with sub-femtosecond temporal resolution. Location: Office Window MF260, Faculty of Physics, Lotharstr. 1-21, 47057 Duisburg Contact: Tel. +49 (203) 379 1439 | Fax +49 (203) 379 1555 His research spans ultrafast electron diffraction of photo-induced phase transitions in atomic wires and topological materials , with recent breakthroughs on Kibble-Zurek dynamics in the Si(001) surface and chiral plasmon polaritons . The group’s 15 most recent publications (2025-2022) address phenomena such as negative thermal expansion in 2D materials , electron-phonon coupling in Pb/Si heterostructures , and quantum pathway analysis in Bismuth films . These works are categorized under disciplines like Condensed Matter Physics , Nanooptics , and Ultrafast Dynamics , with subfields including Ising Model Transitions , Plasmon Focusing , and Time-Resolved Diffraction . Prof. Horn-von Hoegen serves as DFG Liaison Officer for the University of Duisburg-Essen, providing guidance on Deutsche Forschungsgemeinschaft (DFG) proposals . His group has mentored notable researchers including Dr. Simon Sindermann (postdoc at IBM), Dr. Anja Hanisch-Blicharski (Leopoldina Fellow), Dr. Hichem Hattab (Leopoldina Fellowship), and Dr. Marin Petrovic (Humboldt Fellow). The group’s laboratory facilities include advanced ultrafast electron diffraction and photoemission microscopy systems, enabling studies of atomic-scale processes such as molecular dynamics simulations of laser-excited surfaces and domain wall motion in Si(553)-Au systems .

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

Huy T Tranمشاهده پروفایل

استادیار

• Autonomy
• Reinforcement Learning
• Artificial Intelligence
• +۵ مورد دیگر

Huy T Tran is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign's College of Engineering, with additional appointments at the Applied Research Institute. His research focuses on the intersection of robotics, artificial intelligence, and multi-agent systems, with applications spanning autonomous navigation, critical infrastructure resilience, and intelligent transportation. Dr. Tran earned his Ph.D. in Aerospace Engineering from Georgia Institute of Technology in 2015, following advanced degrees from Georgia Tech and University of Wisconsin-Madison. His academic journey includes research assistant professor positions before achieving his current assistant professor role in 2021. He previously worked as a Senior Multi-Disciplinary Systems Engineer at The MITRE Corporation and served as a Visiting Scholar at the Air Force Institute of Technology. His research interests encompass Autonomy, Reinforcement Learning, Artificial Intelligence, Machine Learning, Robotics, Multiagent Systems, Intelligent Transportation Systems, and Critical Infrastructure Resilience. As director of the Lab for Intelligent Robots and Agents (LIRA), he leads cutting-edge research in autonomous systems that interact with humans and other robots. His work has evolved from foundational resilience modeling in aerospace systems toward increasingly sophisticated AI applications in multi-robot coordination and explainable decision-making. Dr. Tran's publication record demonstrates a clear trajectory toward explainable AI and human-AI collaboration, with recent work focusing on generating explanations for reinforcement learning policies, coordination in ad hoc teams, and neuro-symbolic approaches to robot policy interpretation. His research bridges theoretical advances with practical applications in air traffic control, field robotics, and critical infrastructure management. Best Paper Award: Theoretical (2016 Complex Adaptive Systems Conference) Selected for oral presentation at IROS 2023 Workshop 27% full paper acceptance rate at AAMAS 2022 44% acceptance rate at ICRA 2020 As an educator, Dr. Tran teaches core aerospace courses including Computational Systems Engineering, Aerospace Numerical Methods, and Reinforcement Learning. He has secured significant research funding from NASA's Transformational Tools and Technologies program, ARL A2I2 program, ONR Science of AI program, and DARPA. His current projects span ad hoc teaming in multi-robot systems, collective autonomous air mobility, hierarchical reinforcement learning, and interpretable AI agents.

• Spatial and Temporal Representation in Humanities
• Geospatial Data Modeling
• Digital Humanities
• +۷ مورد دیگر

Professor Leif Isaksen is a leading scholar in Digital Humanities and Ancient History at the University of Exeter, holding a chair in the Department of Classics, Ancient History, Religion and Theology. He also serves as Theme Lead for Humanities, Heritage and the Creative Industries at the Institute for Data Science and Artificial Intelligence (IDSAI). With a background in archaeology and a focus on Spatial-temporal representation in humanities Intelligent systems for historical data Digital skills development in arts and humanities , his work bridges classical scholarship and computational innovation. His research includes Pelagios Network projects like Recogito and Peripleo , which revolutionized semantic annotation and geospatial analysis of ancient texts. He directed the Cluny Hill Dig and co-founded initiatives like Hot Source! and DISKAH to democratize digital humanities skills. Key professional roles include: Executive Board Chair of ADHO (2019-2021) Co-Director of Web Science CDT at Southampton Active leadership in CAA, EADH, and ISHMap Scientific honors include fellowships at the Society of Antiquaries of Scotland and former affiliations with the Alan Turing Institute and Society of Antiquaries of London . His work aligns with UN Sustainable Development Goals 9: Industry, Innovation and Infrastructure and 4: Quality Education .