جستجوی استاد راهنمای دانشگاهی

Gabriel A. Silva is a Professor in the Shu Chien-Gene Lay Department of Bioengineering at UC San Diego’s Jacobs School of Engineering, with a joint appointment as Assistant Professor in Ophthalmology. His research bridges neuroscience, theoretical physics, and applied mathematics to explore how the brain encodes and processes information, leveraging quantum logic and algorithms for advanced neural modeling. University: University of California, San Diego School: Jacobs School of Engineering Department: Shu Chien-Gene Lay Department of Bioengineering Academic Rank: Professor Joint Appointment: Assistant Professor in Ophthalmology Research Interests: Silva focuses on neural computation at cellular and network scales, aiming to abstract biological mechanisms into mathematical models that emulate brain-like processing. His work has implications for understanding neurological disorders, developing neural engineering nanotechnologies, and advancing AI systems through emergent complexity. Recent Article Trends: His publications span quantum-enhanced neural modeling, EEG-based disease detection, nonlinear dynamics in brain networks, and interdisciplinary applications of graph theory. Emerging themes include the integration of category theory for network analysis and AI optimization via emergence-promoting schemes. Labs & Teams: Affiliated with UC San Diego’s Institute of Engineering in Medicine, Silva leads research at the intersection of bioengineering, ophthalmology, and neural systems, fostering collaborations with neuroscience and quantum computing domains.

• Neuroscience
• Neural Computing
• Quantum Algorithms
• +۷ مورد دیگر

Prof. Maosong Sun is a Professor at the Department of Computer Science and Technology, Tsinghua University, China. He holds additional leadership roles including Executive Vice Dean of the Institute for Artificial Intelligence and Deputy Director of the National Engineering Laboratory for Cyberlearning and Intelligent Technology. His research focuses on natural language processing (NLP), artificial intelligence, machine learning, and computational education. He leads interdisciplinary projects in computational humanities, knowledge graphs, and MOOC platforms like XuetangX, which has over 58.8 million registered learners. Key contributions include pioneering work in Chinese NLP tools, poetry generation systems like Jiuge, and large-scale research initiatives funded by Chinese and Singaporean programs. Awards include the Tsinghua University Education Award (2019) and the National Outstanding Practitioner Award (2007). Established NLP and Computational Humanities & Social Sciences Lab (2008) Co-director of the Joint Research Center for Extreme Search (2011-present) Over 200 publications with 11,000+ citations (h-index 47)

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Didar Zowghi is a Senior Principal Research Scientist and Science Team Leader at CSIRO Data61, Australia's national science agency. His work focuses on advancing ethical AI systems, data quality frameworks, and requirements engineering methodologies. He leads research initiatives addressing challenges in AI governance, diversity/inclusion in technology, and human-centered AI development. Research interests include AI ethics, data completeness in healthcare systems, and the application of machine learning in requirements engineering. His contributions span theoretical frameworks for responsible AI patterns, empirical studies on user perceptions of AI tools like M365 Copilot, and analysis of AI's role in global diplomatic practices. Zowghi has published extensively on topics ranging from blockchain in supply chains to pedagogical innovations in software engineering education. His work often bridges technical systems and societal impacts, emphasizing real-world implementation challenges through collaborative industry-academia projects. Notable outputs include the Responsible AI Pattern Catalogue and studies examining barriers to data quality in IoT platforms. He has pioneered frameworks linking innovation initiatives to occupational skill requirements and developed tools like Elica for dynamic requirements knowledge extraction in agile teams.

• Artificial Intelligence Ethics
• Data Quality Management
• Requirements Engineering
• +۴ مورد دیگر

Dr. Teresa Wang is a Senior Lecturer in Data Science at Monash University's Faculty of Information Technology, specializing in entity/user modeling, relational/structural machine learning, and graph/network analysis. She holds a Ph.D. from the University of Queensland and degrees from Nanjing University. Currently, she directs the Master of Data Science Program and teaches courses like FIT5201 Machine Learning. Her research focuses on social, e-commerce, and health data modeling, with notable projects including the Knowledge Enriched Approach for Effective Personalization (2025–2027) and collaborations on AI in Mental Health and Site Safety. Dr. Wang has co-authored over 59 publications, emphasizing areas like ontology matching and multimodal data analysis. She actively supervises PhD students and contributes to initiatives like the CSIRO Next Generation Graduates Program for clean energy and sustainability. Education: Ph.D. in Computer Science (2017), University of Queensland Master of Computer Science (2013), Nanjing University Bachelor of Software Engineering (2010), Nanjing University Research Interests: Entity modeling, spatio-temporal data analysis, graph mining, recommender systems, and health/medical records mining. She explores applications in social media, e-commerce, and healthcare sectors. Projects: "Knowledge Enriched Approach for Effective Personalization" (2025–2027) "AI for Clean Energy and Sustainability" (2023–2027) "CSIRO Next Generation Graduates Program: AI in Mental Health" (2023–2027) "Large-scale multimodal knowledge management" (2022–2025) Grants & Collaborations: Engaged with CSIRO, Crank Group, and Pola Practice Pty Ltd. Her work aligns with UN SDGs in education and sustainable energy systems. Labs/Teams: Part of the Monash Energy Institute and Monash Data Futures Institute, contributing to interdisciplinary AI and energy research.

• Entity/User Modeling
• Relational/Structural Machine Learning
• Spatial/Temporal Machine Learning
• +۵ مورد دیگر

Dr. Will Grant is an Associate Professor in Science Communication at the Australian National University’s Australian National Centre for the Public Awareness of Science. His work focuses on science communication, public policy, and the intersection of science with politics and technology. He holds a PhD from The University of Queensland and has been at ANU since 2008. His research explores science communication strategies, misinformation dynamics, and the societal impacts of emerging technologies. He has authored over 100 publications in outlets like Public Understanding of Science and Environmental Communication , and his work has reached 1.8 million readers on The Conversation . He co-founded PostAc, a platform analyzing PhD job markets, and has advised organizations including the Office of the Chief Scientist and CSIRO. Grant’s research interests include science communication pedagogy, the role of social media in shaping public discourse, and the ethical dimensions of geoengineering. He has organized high-impact outreach initiatives like the Long Conversations dialogue series and hosts the podcast The Wholesome Show . His awards include the Vice Chancellor’s Award for Public Policy and Outreach (2015) and the Sidney Sax Medal (2020). He supervises numerous graduate students and teaches courses on science communication ethics, digital media, and science-policy interaction.

• Science Communication
• Science Policy
• Social Media Analysis
• +۳ مورد دیگر

Goran Avlijaš is a researcher affiliated with Singidunum University in Belgrade, specializing in project management, operations research, and retail logistics. He holds a Doctorate in Engineering Management (2011–2016) from Singidunum University, a Master’s in Project Management (2008–2009) from the Faculty of Organizational Sciences, and a Bachelor’s in Management (2003–2007) from the same institution. His research focuses on optimizing project schedules through methods like Earned Value Management and Monte Carlo Simulation, analyzing supply chain efficiency, and exploring gig economy impacts on well-being in Balkan countries. Key research areas include: Project Management Innovation: Developing risk analysis tools (e.g., Event Chain Methodology) and applying earned value metrics to construction projects. Retail Operations: Investigating automated replenishment systems and inventory management challenges in retail environments. Social-Economic Dynamics: Studying gig economy effects on workforce well-being and regulatory impacts on entrepreneurship. His work spans 30+ peer-reviewed articles and conference papers, including contributions to Management , Sustainability , and Frontiers in Psychology . He co-authored textbooks like Project Management and Entrepreneurship for Singidunum University’s curriculum. Active in academic events such as Sinteza and FINIZ conferences, he bridges theoretical research with practical industry applications.

• Project Management
• Operations Management
• Retail Logistics
• +۳ مورد دیگر

Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.

• Digital Service Innovation
• Workplace Learning
• Information Systems
• +۳ مورد دیگر

Faidra Monachou is an Assistant Professor of Operations Management at the Yale School of Management and a Faculty Fellow at the Center for Algorithms, Data, and Market Design at Yale (CADMY). She specializes in designing market mechanisms and operational interventions that balance efficiency and fairness, particularly in public policy contexts like education. Her research integrates tools from operations research, economics, and data science to address societal challenges. Education: Ph.D. in Operations Research from Stanford University's Department of Management Science and Engineering Postdoctoral Fellowship at Harvard University Bachelor's degree in Electrical and Computer Engineering from the National Technical University of Athens Her research interests focus on market design for public policy , including education systems, labor markets, and algorithmic fairness. Recent work examines human-algorithm trade-offs in college admissions and limitations of diversity interventions in hiring. She frequently collaborates with institutions like the Nokia Bell Labs and the University of Michigan Ross School. Recent Research Trends: Monachou's publications emphasize fairness, equity, and strategic behavior in allocation systems. Key themes include: Algorithmic fairness in education and labor markets Design of simple yet optimal allocation mechanisms Evaluating trade-offs between information and access in policy Awards: INFORMS DEI Best Student Paper Award (2022) ACM EAAMO 2021 Best Paper with a Student Presenter Award Her work has been published in top venues like ACM EC, Management Science, NeurIPS, and AAAI. She actively contributes to interdisciplinary initiatives such as the Mechanism Design for Social Good workshop.

• Market Design
• Algorithmic Fairness
• Public Policy Analysis
• +۳ مورد دیگر

Olga Vechtomova is a Professor at the University of Waterloo, affiliated with the Information Systems research group and specializing in Search Engines and Natural Language Processing. Her work bridges computational creativity, multimodal systems, and AI-driven text generation. She leads projects like LyricJam , a real-time lyric generation system for live music, and explores applications in dynamic story generation, hate speech detection, and low-resource summarization. Her research emphasizes ethical AI, creative technologies, and leveraging large language models for diverse tasks. Research interests include natural language processing, machine learning, and multimodal interaction. Recent work focuses on artistic inspiration modeling, stylized text generation, and improving NLP efficiency through semi-supervised learning and distillation techniques. Her contributions span over 60 papers since 2000, with a strong emphasis on foundational NLP challenges and real-world applications. She collaborates on systems like Promptmix for model distillation and LyricJam sonic for music-audio lyric generation.

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

Arthur Bousquet is an Associate Professor of Mathematics at Lake Forest College, affiliated with the Math and Computer Science department. He holds a PhD in Applied Mathematics from Indiana University (Bloomington, IN) and a MS in Engineering in applied mathematics and scientific computing from SuP Galilee Engineering School (Paris, France). His research focuses on numerical methods for partial differential equations, including finite volume and finite element techniques, with applications to geophysical fluid dynamics, climate modeling, and biomedical problems like viral shell mechanics. Notable areas include shallow water equations, phase field modeling, and computational methods for atmospheric dynamics. Bousquet has published extensively on topics such as numerical weather prediction, electrokinetic equations, and virus nanoindentation modeling. His work often combines theoretical analysis with computational simulations to address complex systems in fluid dynamics and materials science. He has received the Rothrock Award for teaching excellence (2014) and held research fellowships including an NSF Graduate Fellowship (2009-2013). His teaching includes courses like Computational Mathematics, Multivariable Calculus, and Real Analysis.

• Applied Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Joanne M Leach is a Research Fellow at the University of Birmingham's Department of Civil Engineering within the School of Engineering. Her work focuses on urban liveability, sustainability, and resilience, emphasizing transdisciplinary collaboration and the science of team science. She holds a PhD in Civil Engineering from the University of Birmingham (2020) and earlier degrees in Design Management (MSc, Salford) and International Business (BSc, Trinity University). Dr. Leach has extensive experience in EPSRC-funded projects, including the Liveable Cities Programme Grant (£6M) and the UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC). Her research integrates infrastructure, urban planning, and wellbeing, with notable contributions to policy consultations, media engagements, and international collaborations. Key projects include the Healthy Low-Carbon Transport Hub (2025–present) and the Road to Net Zero initiative (2024–present). Education: PhD in Civil Engineering, University of Birmingham (2020) MSc (Distinction) in Design Management, University of Salford (2010) BSc (Hons) International Business with Mathematics, Trinity University (1995) Research Interests: Dr. Leach's work bridges urban sustainability, infrastructure resilience, and transdisciplinary methodologies. She develops diagnostic tools to assess urban challenges and communicates findings to policymakers. Her recent focus includes low-carbon transport, net-zero urban systems, and the role of infrastructure in wellbeing. She has contributed to high-impact publications and won awards for her work on urban design creativity and sustainable solutions. Awards: 2015 Reed Mallik Prize for Best Paper in Proceedings of the ICE 2020 Richard Trevithick Fund Prize Advising & Grants: Dr. Leach has led or contributed to over £20M in EPSRC-funded projects, including Liveable Cities (£6M) and Designing Resilient Cities (£3M). She advises on policy commissions, such as Future Urban Living (House of Lords) and National Infrastructure Commission (NIC) projects. Her collaborative networks span over 20 UK universities and 200+ industry/government bodies. Labs & Teams: She is integral to UKCRIC and the Centre for Urban Wellbeing at Birmingham, fostering innovation in urban systems through labs like PLEXUS (UKCRIC Pump-Priming Project) and the Urban Living Birmingham pilot.

• Urban Sustainability
• Infrastructure Resilience
• Liveable Cities
• +۳ مورد دیگر

Dr. Jane Gatley is a Lecturer in Education at Swansea University’s School of Social Sciences, specializing in Philosophy of Education. She holds a PhD from the University of Birmingham and previously served as an ESRC Postdoctoral Fellow there. With seven years of secondary school teaching experience, her research focuses on curriculum design, the role of philosophy in education, and social justice in pedagogy. She leads an interdisciplinary project funded by the Society for Educational Studies, exploring philosophy as a research method in educational studies. Gatley is also the chief examiner for the International Baccalaureate’s philosophy diploma course and chairs the South Wales branch of the Philosophy for Education Society. Education: PhD in Philosophy of Education (University of Birmingham), Secondary School Teaching Qualification. Research Interests: Aims of education, curriculum theory, educational value of knowledge, conceptual engineering in education, philosophy in schools, and social epistemology. Recent Projects: £7,446 grant for 'Engineering Educational Concepts - Philosophical Analysis for Educational Problems' (2022). Current focus includes the educational value of knowledge and AI’s impact on democratic curricula. Collaborations involve philosophers and education specialists. Teaching: Modules include 'Creative and Critical Thinking in Schools' and 'Curriculum Theory and Debates', emphasizing Welsh curriculum frameworks and cross-curricular competencies.

• Philosophy of Education
• Curriculum Studies
• Social Justice in Education
• +۳ مورد دیگر

Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.

• Edge Computing
• Extended Reality (XR)
• Wearable Computing
• +۷ مورد دیگر

Associate Professor Fengling Han is affiliated with RMIT University's School of Computing Technologies in Melbourne, Australia. He holds the rank of Associate Professor since January 2022. His research focuses on complex networks, industrial electronics, AI/machine learning, and network security. Notable contributions include steganography frameworks for healthcare data, sliding mode control for energy systems, and blockchain applications in surveillance and voting systems. His work spans interdisciplinary areas such as renewable energy integration, battery management systems, and privacy-preserving recommendation systems. He has supervised numerous projects, including AI-driven chatbots, medical imaging watermarking, and peer-to-peer energy trading systems. Han's service roles include conference reviewing and committee memberships in international conferences like IEEE and ISMST. Research Interests: His expertise spans electrical engineering, control systems, and AI applications. Key areas include battery management, cybersecurity, and smart manufacturing. Recent projects emphasize Industry 5.0 technologies, blockchain for data integrity, and deep learning for steganalysis. Teaching and Supervision: Teaches network security, data communication, and IT infrastructure. Current supervision includes AI-powered business modeling, medical imaging tampering detection, and renewable energy sharing systems. Over 14 research projects are documented, reflecting his interdisciplinary impact. Awards and Recognition: While specific awards are not listed, his extensive publications (over 150 outputs) and high citation counts (e.g., 119 citations for the Industry 5.0 survey) highlight his scholarly contributions.

• Complex networks
• Industrial electronics
• AI and machine learning
• +۴ مورد دیگر

Monique Boddington is a Management Practice Associate Professor and Director of the MSt in Entrepreneurship programme at the Cambridge Judge Business School, University of Cambridge. She holds a PhD from the University of Cambridge, where her thesis applied philosophical frameworks to archaeology to explore knowledge creation. Her research focuses on entrepreneurship, particularly early-stage venture formation, startup strategy, experimentation, pivoting, gender dynamics, and the application of sociological frameworks to entrepreneurial practice. She is dedicated to enhancing entrepreneurship education to empower future entrepreneurs. Her professional experience includes leading research initiatives such as the EVER project on early-stage venture strategy and EU-funded projects measuring entrepreneurship education impact. She advises on entrepreneurship policy globally and supports startups across industries. Monique teaches modules like Experimentation and Pivoting, Entrepreneurial Impact (Ethics and Diversity), and Management Praxis across Cambridge Judge programmes. Her research trends emphasize gendered norms in entrepreneurship, anthropological approaches to entrepreneurial action, and the intersection of education and innovation. She has contributed to over 15 peer-reviewed articles and edited books since 2014, focusing on gender inclusion, pivoting strategies, and educational methodologies. Monique has advised multiple students and collaborates on initiatives like the EnterpriseWISE programme to increase accessibility for women in science and engineering (WISE). Her work bridges theory and practice, influencing both academic discourse and real-world entrepreneurial ecosystems.

• Entrepreneurship
• Gender Dynamics in Business
• Strategic Management
• +۴ مورد دیگر