جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۳۶-۷۵۰ از ۱۴٬۵۳۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Raja Jurdakمشاهده پروفایل

استاد

Queensland University of TechnologyAustralia

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

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Linda Newnesمشاهده پروفایل

استاد

University of BathUnited Kingdom

Professor Linda Newnes is a faculty member in the Department of Mechanical Engineering at the University of Bath, leading the Made Smarter Innovation: Centre for People-Led Digitalisation (£5M) and the TRansdisciplinary ENgineering Design (TREND) research group (£1.8M). Her work focuses on transdisciplinary engineering, whole life value analysis, and sustainable manufacturing. She directs The Foundry: Centre for Digital, Manufacturing & Design, emphasizing people-centric digitalization and cross-sector collaboration. Her research integrates natural/social sciences and industry stakeholders to address challenges in aerospace, defense, and energy sectors. Notable projects include models for whole life value (cradle-to-cradle) and tools for transdisciplinary working. She actively promotes Equality, Diversity & Inclusion (ED&I), leading the University’s Aurora programme and Athena SWAN submissions. Recent publications explore digital skill premiums, transdisciplinary frameworks, and AR deployment challenges. She advocates Industry 5.0 principles, emphasizing human-centric innovation and resilience in socio-technical systems. Current grants focus on net-zero transitions and cellular agriculture manufacturing. Her advising spans doctoral students in transdisciplinary engineering, Industry 5.0, and future manufacturing. She collaborates with industry partners like Airbus and Innovate UK to advance cost estimation, decision support tools, and lifecycle analysis.

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Ian Galeمشاهده پروفایل

استاد

Georgetown UniversityUnited States

Ian Gale is a Professor of Economics at Georgetown University's Department of Economics. His research focuses on auction theory, mechanism design, political economy, and industrial organization. He has contributed to understanding optimal resource allocation under budget constraints, the welfare effects of market regulations, and the design of efficient economic systems. Key areas of research include analyzing auctions with financially constrained bidders, the impact of lobbying caps on political outcomes, and the antitrust implications of market dominance. Gale has explored topics such as use-or-lose provisions, research contest design, and sequential procurement strategies. His work often bridges theoretical models with practical policy applications, particularly in public procurement and regulatory frameworks. Gale's publications span leading journals like the American Economic Review, Review of Economic Studies, and Games and Economic Behavior. His research emphasizes mechanisms that ensure economic efficiency and fairness in markets with asymmetric information or strategic behavior. He is affiliated with the Georgetown Center for Economic Research (GCER) and maintains an active role in academic collaborations. No grants or lab affiliations are explicitly listed in the provided materials.

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Francesca Biaginiمشاهده پروفایل

استاد

Ludwig Maximilian University of MunichGermany

Prof. Francesca Biagini is a Full Professor of Applied Mathematics at the University of Munich (LMU), leading the Department of Mathematics within the Faculty of Mathematics, Computer Science, and Statistics. She holds additional roles as Vice President for International Affairs and Diversity at LMU since 2019, and served as President of the Bachelier Finance Society (2022–2023). Her academic career includes professorships at LMU (since 2009) and prior roles at the University of Bologna and Leibniz University Hannover. She specializes in financial and insurance mathematics, focusing on asset pricing, systemic risk, and model uncertainty. Education: PhD in Mathematical Finance (Scuola Normale Superiore, 2001), Laurea in Mathematics (University of Pisa, 1997). She has advised over 14 PhD students and 180+ master/bachelor students, collaborating with institutions like Allianz, MunichRe, and SwissRe. Research: Biagini’s work bridges financial and actuarial mathematics, including stochastic processes, systemic risk modeling, and insurance frameworks. Notable contributions include modeling asset bubbles, xVA calculations, and liquidity-based frameworks. She has published extensively in journals like *Finance and Stochastics* and *Mathematical Finance*. Awards and Activities: Recipient of the Prinzessin Therese von Bayern Preis (2019) and Zonta Clubpreis (2015). She organizes international conferences, serves on editorial boards (e.g., *Mathematical Finance*), and chairs the Munich Risk and Insurance Center. Her research is funded by grants from BayernLB and LMU Excellence programs.

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Umut Cetinمشاهده پروفایل

استاد

London School of Economics and Political Science (LSE)United Kingdom

Umut Cetin is a Professor of Statistics at the Department of Statistics, London School of Economics and Political Science (LSE). He holds a PhD in Applied Mathematics from Cornell University and has been affiliated with LSE since 2004, progressing through roles as Assistant Professor (2004–2010), Associate Professor (2010–2017), and full Professor since 2017. His research focuses on stochastic analysis, market microstructure, and mathematical finance, with an emphasis on equilibrium models under asymmetric information and liquidity risk. He contributes to editorial boards of journals like Market Microstructure and Liquidity and Frontiers of Mathematical Finance . Key research areas include stochastic filtering, Markov processes, and applications to financial economics. Notable achievements include the 2008 Europlace Institute of Finance Best Paper Award for work on insider trading models. He advises PhD students and teaches advanced courses such as Stochastic Processes and Markov Processes and Their Applications . Professional roles include Director of the LSE PhD Programme, member of the Steering Committee for the London Graduate School of Mathematical Finance, and external examiner for City University’s MSc Financial Economics. His recent work addresses power laws in market microstructure, equilibrium models with legal risk, and numerical methods for killed diffusions.

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Nagham Saeedمشاهده پروفایل

دانشیار

University of West LondonUnited Kingdom

Dr. Nagham Saeed is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, where she has been actively engaged in teaching and research since 2007. She holds a PhD in Intelligent MANET Optimisation from Brunel University and leads the Industrial Internet of Things (IIoT) research group. Her academic service includes editorial and technical committee roles for IEEE and MDPI, and she is a Chartered Engineer (CEng), Senior Member of IEEE, Member of IET, and Senior Fellow of the Higher Education Academy (HEA). PhD in Intelligent MANET Optimisation System, Brunel University (2011) Her research focuses on intelligent systems for smart cities, applying artificial intelligence to telecommunications, energy modeling, and industrial applications. She explores AI-driven optimization in next-generation networks, smart grid integration, battery management systems, and sustainable ICT. Her work also extends to engineering education, particularly feedforward teaching methods and student engagement. The recent publications reveal a strong trend in applying AI and machine learning to solve real-world challenges in energy systems, IoT, transportation, and environmental sustainability, often with a focus on smart cities and renewable integration. Dr. Saeed has been recognized with several awards, including: 2021 University of West London Student Union Best Supervisor/Tutor Award 2022 IEEE Region 8 Outstanding Women in Engineering Section Volunteer Award She mentors early-career engineers and academics and actively promotes electrical and electronic engineering among young girls. She has served as the 2023 IEEE Women in Engineering UK & Ireland Chair and is currently the Vice Chair (Chair-Elect) for the IEEE UK & Ireland Section (2024–2025). Her leadership spans technical innovation, academic service, and diversity advocacy in engineering. She teaches across a range of programs, including MSc Industrial Internet of Things, BEng and MSc Electrical and Electronic Engineering, and supervises PhD research in related fields.

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Stephen Glaeserمشاهده پروفایل

دانشیار

University of North Carolina at Chapel HillUnited States

Stephen Glaeser is an Associate Professor of Accounting and Associate Dean of the PhD Program at the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill. He holds a PhD in Business Administration from the Wharton School of the University of Pennsylvania, along with an MBA and BA from the Fisher College of Business at Ohio State University. His research focuses on the intersection of accounting and economics, particularly in taxation, innovation, and corporate disclosure strategies. Dr. Glaeser studies how firms balance the benefits of investor communication against risks of revealing non-excludable innovations, and how tax policies influence corporate decisions. He also explores agency conflicts arising from imperfect information. His research interests include intellectual property rights, tax complexity effects on entrepreneurship, and ESG disclosure integrity. He has published in top journals like The Accounting Review , Journal of Accounting and Economics , and Review of Accounting Studies . Notably, he received the 2019 Best Dissertation Award from the American Accounting Association's Financial Accounting and Reporting Section for his work on trade secrets and corporate transparency. Teaching: Courses in managerial and financial accounting. Work Experience: Former Assistant Vice President at Citi Hedge Fund Services and Internal Audit Team Leader at Huntington National Bank. His recent articles highlight trends in AI-driven workforce changes, corporate R&D transparency, and tax policy's role in innovation. He critically examines how firms navigate disclosure challenges while managing risks linked to intellectual property and labor markets.

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Prateep Nayakمشاهده پروفایل

استاد

University of WaterlooCanada

Prateep Nayak is a Professor at the School of Environment, Enterprise and Development within the University of Waterloo. His academic focus combines political science, environmental studies, and international development through transdisciplinary research on human-environment connections. With expertise in commons governance, social-ecological resilience, environmental justice, and political ecology, he has taught courses like INDEV 100: Introduction to International Development SUSM 675: Governing the Commons INDEV 617: Environmental Change and Governance He has received prestigious awards including the Trudeau Scholarship, Harvard Giorgio Ruffolo Fellowship, Canada's Governor General Academic Gold Medal, and SSHRC Banting Fellowship. Professor Nayak's research explores social-ecological systems, emphasizing vulnerability-to-viability transitions in small-scale fisheries, gender dynamics in dried fish value chains, and multidimensional justice in coastal governance. His Google Scholar publications since 2017 highlight Asia-Africa comparative studies, marine protected areas, and policy frameworks for adaptive management. Article keywords reveal engagement with climate resilience, equity in resource access, and institutional pluralism in governance systems. Scientific awards include Trudeau Scholar Harvard Giorgio Ruffolo Fellow in Sustainability Science Canada's Governor General Academic Gold Medal SSHRC Banting Fellow His fieldwork experience includes development projects in India focusing on community-based governance of land, water, and forests at the research-implementation-policy interface. Current teaching aligns with his expertise in international development and environmental governance, while historical publications show long-term engagement with coastal systems analysis and regime shifts.

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Alborz Shokrani Chaharsooghiمشاهده پروفایل

استاد

University of BathUnited Kingdom

Alborz Shokrani Chaharsooghi is a Professor at the University of Bath's Department of Mechanical Engineering. He leads research in advanced manufacturing technologies, with a focus on sustainable and circular manufacturing, innovative machining processes, and digital manufacturing systems. He is actively involved in projects funded by EPSRC, Innovate UK, and EU Horizon, including initiatives like the Made Smarter Innovation Centre for People-Led Digitalisation and the I-Break ATI with Airbus collaboration. Education: Doctor of Philosophy in Mechanical Engineering (University of Bath, 2014) Research Interests: His work bridges traditional manufacturing with emerging technologies, emphasizing cryogenic machining of titanium alloys, additive manufacturing optimization, and machine learning applications in intelligent manufacturing. Recent projects explore energy-efficient processes and data analytics for process monitoring. Grants & Projects: EPSRC-funded research on additive layer manufacturing of high-performance alloys Horizon Europe-funded Twinning IZTECH in Robotics Manufacturing Systems Innovate UK project on cost modeling for additive manufacturing Teaching: Specializes in manufacturing processes, discrete event simulation, and optimization techniques for engineering systems.

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XiuJun Liمشاهده پروفایل

استاد

University of Texas El PasoUnited States

Dr. XiuJun Li is a Professor in the Department of Chemistry and Biochemistry at The University of Texas at El Paso (UTEP) within the College of Science. He leads the Li Microfluidic Lab-on-a-Chip & Nanotechnology Group, focusing on the development of cutting-edge, low-cost diagnostic technologies for applications in bioanalysis, biomedical engineering, forensic science, and environmental science. His work is highly interdisciplinary, bridging chemistry, engineering, and biology. Dr. Li's primary research interests lie in microfluidics, nanotechnology, lab-on-a-chip systems, and point-of-care diagnostics. His lab specializes in creating paper and polymer hybrid microfluidic devices for the ultrasensitive detection of cancer biomarkers, infectious diseases (such as SARS-CoV-2 and pertussis), and environmental toxins. A significant focus is on making these devices instrument-free and affordable, particularly for use in resource-limited settings and rural areas. His recent work on a $3 paper-based cancer detector has garnered significant media attention, including features in the New York Post and local TV stations. The trend in Dr. Li's recent publications reveals a strong emphasis on developing portable, visual, and quantitative diagnostic platforms. His research frequently involves the integration of nanomaterials for signal amplification, the use of microfluidic chips for controlled reactions, and innovative readout methods like bar-chart displays and smartphone-based detection, all aimed at creating practical tools for real-world healthcare challenges. Dr. Li has received substantial recognition for his contributions to science, including being named one of the World's Top 2% of Cited Researchers by Elsevier and a Top Scholar by ScholarGPS. He is an Editorial Board Member for Microsystems & Nanoengineering (Nature Publishing Group) and has been awarded a Travel Grant from GEM on the Road’s PFI Programming. He holds patents for his inventions in biosensing and photothermal detection. Dr. Li is a dedicated mentor and educator. He has advised numerous PhD and Master's students, many of whom have gone on to prestigious postdoctoral positions at institutions like Harvard, UPenn, and MD Anderson. He is also the Director of the Forensic Science program at UTEP, where he organizes outreach events to engage students. His lab is actively involved in research, with multiple postdoctoral fellows and graduate students currently working on projects related to cancer detection and infectious disease study.

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Walter Struhalمشاهده پروفایل

دانشیار

Paris Lodron University of SalzburgAustria

Prim. Assoc. Prof. PD Dr. Walter Struhal MSc FEAN serves as Head of the Clinical Department of Neurology at University Hospital Tulln since 2017 and holds a shared leadership role at the University Clinic for Neurology (Karl Landsteiner Private University of Health Sciences) since 2019. His career bridges clinical neurology and translational research in autonomic nervous system disorders. Research Focus : Struhal specializes in autonomic dysfunction, particularly its role in Alzheimer's dementia, post-COVID-19 neurological sequelae, and neurodegenerative diseases like multiple system atrophy. His work emphasizes modern diagnostic tools such as wearable ECGs and power modulation spectrum algorithms for signal quality control. Recent collaborations include developing the NEUROGED Guidelines for neurogenic urinary/sexual symptoms and mapping autonomic education gaps in European neurology training. Scientific Contributions : As a Fellow of the European Academy of Neurology (FEAN) , he co-led international studies on ECG quality indices (PDQI/MSQI) and participated in the AFFRICATE Project analyzing autonomic impacts of cerebral vascular interventions. His 15 most recent publications (2020-2025) span stroke care economics, dysphagia management, and autonomic testing innovations, reflecting his commitment to clinical-neurological research infrastructure development. Scientific Awards : Metric-based scholarship for Austro-Mir space research Fellow of the European Academy of Neurology (FEAN)

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Dennis Nicksonمشاهده پروفایل

استاد

University of StrathclydeUnited Kingdom

Dennis Nickson is Professor in Service Work and Employment at the Department of Work, Employment and Organisation, University of Strathclyde, where he has been a faculty member since 1996. He previously served as Head of Department (2008–2014) and co-directed the Scottish Centre for Employment Research (2004–2008). He is Editor-in-Chief of Employee Relations and a leading figure in research on service sector employment. PhD in Internationalization Strategies of Hotel Companies, University of Strathclyde (1999) BA in Humanities, University of Kent (1991) His research centers on aesthetic and emotional labour , skills, employability, and human resource management in interactive service work, particularly in retail and hospitality. He is a co-developer of the influential concept of aesthetic labour with Professors Chris Warhurst and the late Anne Witz. His work explores labour market dynamics, gender inequalities, fair work, and workplace harassment, especially in low-paid service roles. His recent publications focus on fair work frameworks, intersectional inequalities in global education sectors, and the impact of the pandemic on hospitality workers. These works reflect trends in critical HRM, service work ethics, and policy-oriented labour research. Scientific Awards: Academic Fellow, Chartered Institute of Personnel and Development (CIPD), 2013 He has supervised multiple research students and led externally funded projects on topics including equal pay, recruitment in the voluntary sector, and customer abuse in hospitality. His research has influenced employment relations policy and practice, particularly in Scotland’s public and third sectors. He has also contributed to major journal editorial work and professional conferences. He is actively involved in the Global Hospitality Research Alliance and collaborates internationally on fair work and hospitality employment issues. His work aligns with UN Sustainable Development Goals related to decent work and economic growth.

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Philippe Schwallerمشاهده پروفایل

استادیار

Swiss Federal Institute of Technology in LausanneSwitzerland

Philippe Schwaller is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), School of Basic Sciences, within the Institute of Chemical Sciences and Engineering. He leads the Laboratory of Artificial Chemical Intelligence (LIAC), a research group focused on leveraging artificial intelligence to accelerate molecular discovery and sustainable chemistry. He is also a core Principal Investigator of the NCCR Catalysis, a national Swiss research center. His research lies at the intersection of chemistry, materials science, and computer science, with a strong emphasis on developing machine learning models for molecular design and synthesis. LIAC's work is driven by real-world sustainability challenges, aiming to reduce the time and cost of discovering new functional molecules and materials. The recent publications and projects from his lab highlight a strong trend in generative AI for chemistry, including memory-augmented models, hypergraph neural networks, and large language models tailored for scientific discovery. These efforts are complemented by educational initiatives such as the 'AI for Chemistry' course and practical programming resources for chemists. He actively supervises a diverse group of PhD students and contributes to multiple doctoral programs at EPFL, including EDCH and EDPY. His teaching portfolio includes courses on computational chemistry, AI applications in chemistry, and scientific machine learning. Philippe Schwaller is deeply involved in advancing AI-driven scientific discovery through both research and education, positioning his lab at the forefront of artificial chemical intelligence. The lab maintains active open-source contributions on GitHub, fostering collaboration and transparency in scientific AI development.

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Jason Heinمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Jason Hein is an Associate Professor in the Department of Chemistry at the University of British Columbia's Faculty of Science. His research focuses on the development of automated reaction analysis technology and self-driving laboratories that integrate robotics with synthetic organic chemistry. Dr. Hein leads the Hein Lab, which pioneers innovative solutions for mechanistic organic chemistry, catalytic reaction mechanisms, and chemical manufacturing processes. His research interests center on creating modular robotic tools and integrated analytical hardware for automated reaction profiling, with applications in pharmaceutical manufacturing, battery materials processing, and sustainable chemistry. The lab's work combines advanced robotics, artificial intelligence, and process analytical technology to develop self-optimizing chemical systems that accelerate discovery and improve manufacturing efficiency. Analysis of Hein's recent publications reveals a strong focus on AI-driven laboratory automation, with particular emphasis on crystallization optimization for battery materials, computer vision for process monitoring, and interoperable software systems for self-driving laboratories. His work bridges fundamental mechanistic understanding with practical industrial applications, particularly in lithium extraction from waste brines and pharmaceutical process development. NSERC Postdoctoral Fellowship Dr. Hein's research program includes significant grant funding supporting the development of self-driving laboratory technologies and their application to challenging chemical problems. His lab actively collaborates with industry partners in pharmaceuticals and clean energy sectors to translate fundamental insights into deployable technologies. Current projects focus on battery-grade lithium carbonate production, continuous manufacturing processes, and AI-optimized chemical synthesis. The Hein Lab operates as a multidisciplinary research environment combining expertise in organic chemistry, robotics engineering, computer science, and data analytics to create the next generation of autonomous chemical discovery systems.

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Catherine Wangمشاهده پروفایل

استاد

Brunel University LondonUnited Kingdom

Professor Catherine Wang is a Professor of Entrepreneurship and Strategy at Brunel Business School, Brunel University London. She serves as the Research Excellence Framework (REF) Lead and founded the Interdisciplinary Research Centre for Entrepreneurship and Sustainability, directing it for seven years. Previously, she held academic positions at Royal Holloway (University of London) and Oxford Brookes University. Her research focuses on the integration of entrepreneurship, strategy, and innovation, with emphasis on: Digital/social/sustainable entrepreneurship Entrepreneurial orientation across organizational contexts Dynamic capabilities and organizational ambidexterity AI applications in strategic decision-making Cross-cultural innovation comparisons (UK-China) Her publication portfolio demonstrates strong emphasis on innovation processes, organizational learning, and strategic adaptation, with recurring themes of entrepreneurial failure analysis, dynamic capabilities, and high-tech SME management across geographical contexts. Awards and recognitions include: Fellow of the British Academy of Management Inaugural Fellow of British Academy of Management Peer Review College ESRC Peer Review College Member Top 2% global researcher in Business & Management (Stanford/Elsevier) She supervises doctoral students in digital entrepreneurship, AI strategy, and sustainable business models, and leads industry projects including: Digital Technology Adoption in UK Charities Collaborative Innovation between Small Firms and Large Corporations Social Enterprises: Ten Years On

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