جستجوی استاد راهنمای دانشگاهی

Camille Petit is a Professor of Materials Engineering at the Department of Chemical Engineering, Faculty of Engineering, Imperial College London. She leads the Petit Group, focusing on designing multifunctional porous materials for environmental and energy sustainability challenges. Her research integrates materials synthesis, characterization, and testing to address molecular separations and solar energy conversion. Key affiliations include the Centre for Processable Electronics, the Institute for Digital Molecular Design and Fabrication (DigiFAB), and the Institute for Molecular Science and Engineering. Education: BSc in Physics and Chemistry (2002-2005), Lycée Massena, Nice, France MSc in Chemistry and Diplôme d'ingénieur (2005-2007), Ecole Nationale Supérieure de Chimie de Montpellier, France PhD in Chemistry (2007-2011), The Graduate Center of The City University of New York, USA Research Interests: Her group develops porous materials like boron nitride, carbon nitride, metal-organic frameworks, and composites for CO₂ capture, photocatalytic applications, and energy-efficient processes. They emphasize multifunctional materials that combine sorption and catalytic properties to reduce energy consumption. Recent work includes enhancing hydrolytic stability of porous materials and scaling-up graphene production via fluidic exfoliation. Advancing Materials Innovation: Petit’s lab employs molecular engineering approaches to accelerate materials development, combining simulation, synthesis, and process modeling to bypass traditional trial-and-error methods. This approach targets faster innovation in sustainable technologies like DAC systems and photocatalytic reactors. Labs & Teams: The Petit Group operates within the Department of Chemical Engineering, collaborating with multidisciplinary teams across Imperial College’s institutes and centers. Their work bridges nanoscale material design with macro-scale industrial applications.

• Materials Engineering
• Chemical Engineering
• Physical Chemistry
• +۴ مورد دیگر

Andrew M. Olney is Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. His work bridges artificial intelligence, cognitive science, and education, with a primary focus on natural language interfaces for learning. His educational background includes a Ph.D. in Computer Science from the University of Memphis (2006), an M.S. in Evolutionary and Adaptive Systems from the University of Sussex (2001), and a B.A. in Linguistics with Cognitive Science from University College London (1998). Dr. Olney's research centers on intelligent tutoring systems and natural language processing applications in education. His specific interests include vector space models, dialogue systems, unsupervised grammar induction, and computational representations of meaning. He has made significant contributions to conversational intelligent tutoring systems and task-oriented natural language interfaces, with particular emphasis on dyadic interaction and engagement in learning contexts. Analysis of his recent publications reveals a consistent focus on leveraging AI for educational enhancement, particularly through automated content creation, question generation, and adaptive learning systems. His work spans multiple disciplines including computer science, cognitive science, linguistics, and education, demonstrating strong interdisciplinary integration. Scientific Awards and Recognition: Best Paper Award, Proceedings of Empowering Education with LLMs (2023) Associate Editor, International Journal of Artificial Intelligence in Education (Impact Factor 4.9) Dr. Olney has been actively involved in mentoring graduate students and securing research funding. He has served as Principal Investigator on $6M of federal grants within a total of $18M in federal grant funding. His service includes former editorship of the Journal of Educational Data Mining (2017-2022) and former leadership roles as Director/Associate Director of the Institute for Intelligent Systems (2006-2017). He currently coordinates both the Cognitive Science Graduate Certificate and Undergraduate Minor in Cognitive Science at the University of Memphis. His BrainTrust project, funded by the NSF, addresses the knowledge engineering bottleneck for intelligent tutoring systems through innovative approaches to virtual student simulation and knowledge representation.

• Natural Language Processing
• Intelligent Tutoring Systems
• Dialogue Systems
• +۵ مورد دیگر

Timothy Cootes is a Research Professor at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He holds an MSc teaching role in Mathematical Methods and has led projects like BoneFinder and ASPIRE™. His research focuses on statistical models for medical image analysis, facial interpretation, and musculoskeletal disease diagnosis. Education: Bachelor's in Maths and Physics from Exeter University PhD in Civil Engineering (storm sewer overflow) from Sheffield City Polytechnic Research Interests: Statistical shape/appearance models for medical imaging Machine learning applications in osteoporosis/osteoarthritis analysis Facial feature tracking and recognition systems Groupwise image registration techniques Awards: 2015 ISBI Grand Challenges Prize 2010 IAPR Fellowship 2023 Highly Commended Oral Presentation Collaborations: Dr. Paul Bromiley (medical imaging) Dr. Claudia Linder (musculoskeletal projects) Dr. Adrian Davison (facial recognition) Key Impacts: Developed Active Appearance Models (AAMs) for facial recognition Co-created BoneFinder automated bone analysis software Contributed to global osteoarthritis risk assessment frameworks

• Medical Image Analysis
• Computer Vision
• Statistical Models of Appearance
• +۳ مورد دیگر

Dr. Shufang Zhu is a Lecturer (Assistant Professor equivalent) at the Department of Computer Science, University of Liverpool , and an Associate Member at the University of Oxford’s Department of Computer Science . Previously, she held roles including Senior Research Associate at Oxford (2023–2024) and Postdoctoral Researcher at Sapienza Università di Roma (2020–2022). She earned her Ph.D. in Software Engineering from East China Normal University (ECNU, 2020) under Prof. Geguang Pu, with a visiting Ph.D. at Rice University (2016–2018) under Prof. Moshe Y. Vardi. Education: B.Sc./Ph.D. in Software Engineering from ECNU (2010–2020). Scholarships include the Chinese Scholarship Council (CSC) and UT Austin EECS Rising Star (2022). Her research focuses on interdisciplinary areas of Formal Methods and Artificial Intelligence , emphasizing automated reasoning, planning, and synthesis. Key topics include temporal logics (LTL/LTLf), symbolic synthesis frameworks, and applications in reactive systems. Notable work addresses finite-trace specifications, best-effort strategies, and coordination in multi-agent systems. Teaching: Lecturer for Game-Theoretic Approach to Planning and Synthesis (European Summer School) and Foundations of Self-Programming Agents (Oxford). She also supervises funded Ph.D. positions, including a 2025 deadline for CSC-Liverpool scholarships. Awards: Future Digileader (Digital Futures, 2023), UT Austin EECS Rising Star (2022). Erdős number ≤3 via Moshe Y. Vardi. Collaborations: Co-chair of AAAI 2023 symposium on temporal logics in AI. Active in open-source tools like LydiaSyft for LTLf synthesis. Engages with academic networks through Google Scholar, DBLP, and GitHub.

• Artificial Intelligence
• Formal Methods
• Automated Reasoning
• +۳ مورد دیگر

Frank Jotzo is a Professor at the ANU Crawford School of Public Policy and holds leadership roles as Head of Energy at the ANU Institute for Climate, Energy and Disaster Solutions (ICEDS) and Director of the Centre for Climate and Energy Policy. His research focuses on climate change economics, energy transition policies, decarbonisation strategies, and international climate policy. He has contributed to major policy initiatives, including the NSW Net Zero Commission and Australia's Carbon Leakage Review, and served as a Lead Author for the IPCC. His work emphasizes economic instruments for climate change mitigation, regional transition policies, and the analysis of hydrogen and coal sector dynamics. He teaches climate policy and economics at ANU and engages in executive education programs. Research interests include the economics of decarbonisation, zero-emissions industries, and structural economic changes in Australia, Europe, China, and Indonesia. He has advised governments on climate policy design, energy transitions, and the socio-economic impacts of coal phase-outs. Key projects include studies on green hydrogen cost competitiveness, China's coal import reduction strategies, and regional recovery post-coal plant closures. He holds a Dipl-VWL from Berlin and advanced degrees from ANU (MEcDev and PhD). Frank Jotzo’s contributions span over 80 publications, focusing on energy economics, climate policy frameworks, and the interplay between environmental and economic development. His work bridges academic research with policy implementation, particularly in Asia-Pacific contexts. He leads ANU's engagement in global climate policy dialogues and is a sought-after advisor on sustainable development strategies.

• Climate Change Economics
• Energy Transition Policy
• Decarbonisation Strategies
• +۵ مورد دیگر

Dr. Laura Winter is a Reader in Education and Counselling Psychology at the Manchester Institute of Education, University of Manchester. She holds roles as School Director of Equality, Diversity, and Inclusion (EDI) and previously served as Associate Director for EDI and Programme Director for the Doctorate in Counselling Psychology. Her research focuses on social justice, education, and wellbeing, with particular attention to welfare policy impacts on schools and marginalized communities. She is a Chartered Psychologist with the BPS and Fellow of the Higher Education Academy, and leads initiatives like the BPS Division's Social Justice Networking Group. Her research interests include the intersections of social justice and psychological practice, political influences on therapy, and the role of psychologists in advocating for systemic change. Notable works include editing the SAGE Handbook of Counselling and Psychotherapy and co-authoring the Handbook for Social Justice in Psychological Therapies . Recent studies address adolescent mental health, austerity's effects on schools, and policy advocacy in psychological training programs. Awards: Fellow of the Higher Education Academy Professional Roles: BPS Training Committee Deputy Chair, BPS Division Leadership Key Projects: Co-produced research on adolescent well-being, policy analysis of welfare reforms Her teaching emphasizes social justice in counselling psychology, with modules on oppression, discrimination, and reflective practice. She supervises doctoral research on inequality and education, fostering a generation of socially conscious psychologists.

• Social Justice
• Education
• Counselling Psychology
• +۵ مورد دیگر

Prof. Penny Kyburz is a Professor and Associate Director (Engagement & Impact) at the School of Computing, Australian National University. She leads the GameFlow Lab and teaches Game Development, focusing on AI, human-AI interaction, and game design. Her work bridges academia and industry, with 20+ award-winning games including four BAFTA nominations. She holds a PhD, B.InfoTech(Hons), G.C.Ed.(Higher Ed.), and G.C.Acad.Prac. Education: Ph.D. B.InfoTech(Hons) Graduate Certificate in Education (Higher Education) Graduate Certificate in Academic Practice Research Interests: Video games, game design, and player experience AI and human-AI collaboration Virtual Reality and Mixed Reality applications Technology policy and digital rights Educational games and accessibility Awards: 4 BAFTA nominations for game contributions High critic scores for usability-tested AAA games Grants/Projects: IDEATE (2024–2028) MEC23: Advanced Biometrics (2023) C2 Sociotechnical Collaboration (2022–2024) Role-Based Deception in Games (2020–2021) Her GameFlow model and book on emergence in games are foundational in player experience research. She advocates for diversity in tech and has advised on digital rights in the Senate.

• Video Games
• Game Design
• AI
• +۴ مورد دیگر

Radu Timofte is an academic researcher specializing in computer vision and image processing. He completed his PhD in 2013 at Katholieke Universiteit Leuven, Belgium, with a thesis on sparse and collaborative representations for computer vision. His work focuses on advancing techniques such as image super-resolution, denoising, object detection, and deep learning-based image restoration. He has collaborated extensively with institutions like ETH Zurich and co-authored seminal papers in top-tier journals and conferences. His research bridges theoretical advancements with practical applications in areas like medical imaging, aerial scene analysis, and real-time visual tracking. Timofte’s contributions include developing efficient deep learning architectures for tasks like lightweight object detection (e.g., CH-YOLO-Lite), diffusion models for image-to-image translation (DiffI2I), and calibration-free raw image denoising. He has also contributed to the development of video restoration transformers (VRT) and frameworks for unsupervised real-time video enhancement. His work often emphasizes practicality and efficiency, addressing challenges such as small object detection in aerial imagery and underwater image super-resolution. Timofte’s collaborations span academia and industry, with notable co-authors including Luc Van Gool (ETH Zurich) and Kai Zhang (Nanjing University of Science and Technology). His research has been published in venues like IEEE Transactions on Pattern Analysis and Machine Intelligence, CVPR, ECCV, and the International Journal of Computer Vision.

• Computer Vision
• Image Processing
• Deep Learning
• +۳ مورد دیگر

Lesley W. Chow is an Associate Professor in Bioengineering and Materials Science & Engineering at Lehigh University. She leads the Chow Lab, focusing on designing biomaterials for regenerative medicine and tissue engineering, particularly musculoskeletal interfaces like the osteochondral junction. Her work integrates 3D printing, peptide-polymer conjugates, and self-assembly techniques to create hierarchical scaffolds mimicking native tissues. Chow holds a Ph.D. in Materials Science and Engineering from Northwestern University and a B.S. in Materials Science and Engineering from the University of Florida. Her research emphasizes understanding how tissue organization influences cell behavior and improving clinical translation of biomaterials. Key areas include osteochondral interface regeneration, immunomodulatory biomaterials, and spatially functionalized scaffolds using additive manufacturing. Her lab’s innovations address challenges in musculoskeletal repair, such as creating gradient scaffolds to replicate native tissue properties. Collaborations span biomaterials science, engineering, and clinical translation. She also advocates for diversity in engineering through frameworks promoting institutional accountability. Major grants include the NSF CAREER Award for spatially organized biomaterials. Her work is published in journals across biomaterials science and tissue engineering, with a focus on interdisciplinary solutions for complex tissue regeneration.

• Biomaterials Design and Synthesis
• Additive Manufacturing
• Peptides
• +۵ مورد دیگر

Amir Gilad is a Scharf-Ullman endowed Assistant Professor (Senior Lecturer) at the Hebrew University of Jerusalem’s School of Computer Science and Engineering. His research focuses on responsible data science, including causal inference, differential privacy, fairness in data, and tools for data analysis. He holds a Ph.D. in Computer Science from Tel Aviv University, where he was advised by Prof. Daniel Deutch. Prior to this, he was a postdoctoral researcher at Duke University, mentored by Prof. Sudeepa Roy, Prof. Ashwin Machanavajjhala, and Prof. Jun Yang. Education: Ph.D. in Computer Science, Tel Aviv University (Advisor: Daniel Deutch) MSc in Computer Science, Tel Aviv University BSc in Mathematics and Computer Science, Tel Aviv University His research interests span data quality assessment, private and fair data generation, and causal inference applications . He has received notable awards, including the 2024 Alon Scholarship and the 2019 Google Ph.D. Fellowship. Recent Projects: Developing algorithms for data quality repair and assessing bias in datasets Generating differentially private data that satisfies fairness constraints Applying causal inference to enhance data analysis tools Awards and Honors: 2024 Alon Scholarship for Outstanding Faculty Integration 2019 Google Ph.D. Fellowship in Structured Data 2018 SIGMOD Research Highlight Award 2017 VLDB Best Paper Award Teaching: Courses include “Topics in Responsible Data Science” and “Seminar on Causal Inference in Data Analysis” at Hebrew University, and “Extended Introduction to Computer Science” at Tel Aviv University. He has also led workshops on Google Technologies. Labs & Teams: His work is centered around the School of Computer Science and Engineering’s database group, focusing on foundational and applied aspects of privacy-aware data systems.

• Responsible Data Science
• Causal Inference
• Differential Privacy
• +۵ مورد دیگر

Ana Andrés Payán is a Lecturer in Chemical Engineering at the University of Cantabria, Spain. Her research focuses on Sustainable Environmental Management of hazardous wastes and marine sediments, with contributions to the development of eco-efficient construction materials using industrial byproducts. She has collaborated on R+D projects at European and national levels, emphasizing both academic and industrial partnerships. Since 1992, she has taught Chemical, Industrial, and Marine Engineering courses at the undergraduate level and contributed to postgraduate programs with quality awards. Her work integrates environmental toxicology, materials science, and waste management to address sustainability challenges. Key research areas include recycling industrial byproducts into construction materials (e.g., slag, fly ash), assessing ecotoxicological impacts via bioassays (luminescent bacteria, sea urchin embryogenesis), and optimizing waste management strategies through multi-criteria analysis. She emphasizes circular economy principles and collaboration with industry to achieve sustainable outcomes. Her publications (2025–2021) highlight innovation in alkali-activated binders, eco-toxicity testing, and material durability. No scientific awards are listed, but her work has been applied in regional planning and industrial ecology initiatives. She leads research in the GER group , focusing on environmental and materials science applications.

• Sustainable Environmental Management
• Hazardous Waste Management
• Marine Sediments Remediation
• +۴ مورد دیگر

Giada Di Stefano is an Associate Professor of Strategy at Bocconi University's Department of Management and Technology, and Director of the Doctorate in Business Administration (DBA) at SDA Bocconi School of Management. She holds a PhD from Bocconi University (2011) and previously worked as a faculty member at HEC Paris and as a product manager at L’Oréal Paris. Her research focuses on innovation, knowledge transfer, and organizational learning within creative industries like gourmet cuisine, academia, and computer programming. Her teaching portfolio includes courses on strategy, data analysis for managerial decision-making, and research design at the M.Sc., MBA, and PhD levels. She also contributes to editorial roles at journals like Strategic Management Journal and Strategy Science , and serves on the board of the Consortium on Competitiveness and Cooperation (CCC). Her research methodology emphasizes mixed-method approaches, including field experiments conducted in real-world settings. Key research themes include the interplay between competition and cooperation, institutional norms in knowledge transfer, and organizational responses to status shocks. Her work has been published in top-tier journals such as Academy of Management Journal , Management Science , and Strategic Management Journal , with notable contributions to dynamic capabilities theory and experimental strategy research. Editorial Roles: Associate Editor at Strategic Management Journal , Contributing Editor at Strategy Science Affiliations: BELSS, iCrios, SnO Research Center (HEC Paris) Service Roles: Director of SRF Will Mitchell Dissertation Research Grant Program, Board Member of the Strategic Management Society Her work bridges organizational theory and strategic management, emphasizing interdisciplinary dialogue and practical applications of research findings.

• Innovation
• Knowledge Transfer
• Organizational Learning
• +۴ مورد دیگر

Stefanos Gimatzidis is a Lecturer at the Institute for Classical Archaeology, University of Vienna (since 2015), and a Senior Researcher at the Austrian Academy of Sciences (OeAI) since 2017. He holds a Magister Artium from Aristotle University of Thessaloniki (1997) and a Doctorate from the Free University of Berlin (2007). Previously, he served as Epimelites at Greece’s Ministry of Culture (2005–2011). His research focuses on Mediterranean archaeology during the Early Iron Age and Archaic periods, with special emphasis on colonization dynamics, burial practices, and socio-economic networks. Key research projects include studies on death and burial practices between the Aegean and Balkans, early Greek colonization in Macedonia and Italy, and the distribution of Early Iron Age Greek pottery across the Mediterranean. He leads FWF-funded projects at the Austrian Academy of Sciences and collaborates on interdisciplinary initiatives combining archaeological and radiocarbon dating methods. His work addresses broader themes such as colonialism, material culture exchange, and the reception of antiquity in modern narratives. Gimatzidis frequently publishes on Aegean ceramic analysis, radiometric chronology, and the socioeconomic ties reflected through pottery production and trade. His research bridges theoretical archaeology with empirical case studies, emphasizing transregional connectivity and cultural interaction. Notable contributions include studies on Sidon’s Protogeometric and Geometric pottery, the colonization of Mende in the Northern Aegean, and the critique of archaeological economy. His interdisciplinary approach combines neutron activation analysis, radiocarbon dating, and traditional archaeological methods to reconstruct ancient Mediterranean networks and chronologies.

• Colonization and colonialism
• Mediterranean archaeology
• Early Iron Age
• +۳ مورد دیگر

Falah Alobaid is a Full Professor (Tenured) at LUT School of Energy Systems, LUT University, specializing in energy systems engineering. He holds a Ph.D. from the Technical University of Darmstadt (2013), recognized with the university's Energy Special Prize (2014), and completed habilitation in Energy Systems (2018) with the title of Privatdozent (2019). His research focuses on power plant technologies, including combustion, gasification, and CO₂ capture, with expertise in modeling, simulation, and pilot-scale experimentation. Education: Ph.D. (Energy Systems), Technical University of Darmstadt, Germany (2013) Habilitation (Energy Systems), Technical University of Darmstadt, Germany (2018) Research interests emphasize sustainable energy solutions: Fluidized bed combustion and gasification CO₂ capture and storage technologies Renewable energy integration Process simulation and dynamic modeling of power systems Thermal energy storage systems His work bridges experimental and computational approaches, with contributions to EU projects such as SCARLET and OptiMaDyn. Publications reflect advancements in fluidized bed systems, CFD-DEM modeling, and operational flexibility of thermal power plants. Recent trends include integrating artificial intelligence for process optimization and exploring novel materials for carbon capture. Awards include the Energy Special Prize (2014) and recognition for his habilitation work. He leads the Institute of Energy Systems and Technology research group, focusing on bioenergy, waste-to-energy systems, and low-carbon technologies. Grants and collaborations span EU-funded initiatives and national projects. Advising focuses on graduate students in energy systems, though no specific names are listed. Laboratory work includes managing the Institute of Energy Systems and Technology, where experimental setups for fluidized beds and solar thermal systems are developed. Future research targets net-negative CO₂ emissions via chemical looping gasification and enhanced renewable energy storage.

• Energy Engineering
• Renewable Energy Systems
• CO2 Capture Technologies
• +۵ مورد دیگر

Dr. Markus Piro is an Associate Professor in the Department of Engineering Physics at McMaster University, specializing in Nuclear Engineering and Energy Systems. He teaches ENG PHYS 3D04, focusing on fission/fusion energy systems, reactor design, and radiation interactions. His research emphasizes thermodynamic modeling of nuclear fuels, computational fluid dynamics (CFD), and severe accident analysis in reactors like CANDU and molten salt systems. Key projects include phase equilibrium studies of advanced fuels, corrosion mechanisms, and coupling CFD with thermodynamic simulations for reactor safety. He leads the Nuclear Fuels And Materials Group, developing tools like Thermochimica and collaborating on fuel design, cladding interactions, and accident mitigation strategies. Recent work includes investigations into Nd-C/Ce-C TRISO coatings, molten salt reactor chemistry, and FeCrAl cladding behavior under accident conditions. Dr. Piro’s computational expertise spans reactor hydraulics, thermal-hydraulic modeling, and material compatibility studies. He actively contributes to international initiatives like the TAF-ID database and engages in experimental validation of corium behavior. Current activities include accepting graduate students and advancing multiphysics simulation frameworks for next-gen reactors.

• Nuclear Engineering
• Energy Systems
• Thermodynamics
• +۳ مورد دیگر