جست‌وجوی استاد و پژوهشگر

Jacqueline N. Hewittمشاهده پروفایل

استاد

• Radio Astronomy
• Astrophysics
• Cosmic Dawn
• +۴ مورد دیگر

Jacqueline N. Hewitt is the Julius A. Stratton Professor of Physics at the Massachusetts Institute of Technology (MIT), affiliated with the MIT Kavli Institute for Astrophysics and Space Research. She has been a faculty member since 1989 after completing her Ph.D. at MIT and postdoctoral appointments at MIT's Haystack Observatory and Princeton University. From 2002 to 2019, she served as Director of MIT's Kavli Institute. Her research focuses on radio astronomy techniques applied to fundamental astrophysical problems. She pioneered wide-area radio surveys leading to the discovery of the first Einstein ring gravitational lens. Current investigations include low-frequency studies of the Cosmic Dawn and Epoch of Reionization through leadership roles in the Murchison Widefield Array (Australia) and Hydrogen Epoch of Reionization Array (South Africa) projects. Major Awards: American Academy of Arts and Sciences Fellow (2016) Time Magazine's 25 Most Influential People in Space (2012) American Physical Society Fellow (2004) Maria Goeppert Mayer Award (1995) Presidential Young Investigator Award (1991-1996) She leads the Hewitt Research Group exploring radio instrumentation and observational cosmology, with recent work measuring intergalactic medium heating from the first stars using novel radio telescope arrays.

Lacra Pavelمشاهده پروفایل

استاد

• Game Theory
• Control Theory
• Optimization
• +۷ مورد دیگر

Lacra Pavel is a Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. She joined the department in August 2002 after industry experience at Nortel Networks and Solinet Systems, and remains active in the System Control Group and Photonics Group. Her educational background includes: Diploma of Engineering (with distinction) in Automatic Control, Technical University Gh. Asachi of Iasi, Romania (1989) PhD in Electrical and Computer Engineering, Queen's University at Kingston (1996) Research focuses on integrating game theory, control theory, and optimization within networked systems. She pioneered applications in noncooperative/evolutionary game theory for network control, nonlinear/robust control frameworks, and energy-efficient optical/transportation networks. Current work develops mathematical foundations for learning in games via control-theoretic approaches to enable autonomous multi-agent network optimization. Recent publications (2019-2013) reveal dominant trends: distributed Nash equilibrium seeking using passivity-based and operator-splitting methods, stability analysis for optical network power control with time-delays, and extensions to transportation systems like railway timetabling. Key subfields include graphical games, ADMM algorithms, and Lyapunov-based boundary control for distributed parameter systems. Scientific recognition includes: Fellow of the IEEE (2025) for contributions to game theory, control, and optimization for network systems Connaught New Staff Award, University of Toronto (2003) New Opportunities Infrastructure Award, CFI/OIT (2003) Award for Innovation, Solinet Systems (2001, 2002) Inventor Recognition Award, Nortel Networks (2000) She has advised over 20 graduate students including current PhD candidates and former students now at MIT, Princeton, Amazon, and Ciena. Major grants include the CFI/OIT New Opportunities Infrastructure Award (2003). Her research bridges theoretical game control with practical implementations in optical and transportation networks. As co-director of the System Control Group and member of the Photonics Group, she leads teams developing algorithms for autonomous network optimization. Current projects focus on stochastic approximation methods for multi-agent learning and energy-efficient network design.

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

Kostas Magoutisمشاهده پروفایل

استاد

• Distributed computer systems
• Cloud computing
• Scalable data stores and stream processing
• +۳ مورد دیگر

Kostas Magoutis is Professor and Chair of the Computer Science Department at the University of Crete , and a collaborating researcher at FORTH-ICS . His research focuses on scalable distributed systems, cloud computing, IoT, and quantum-enhanced control. Education and Career: Ph.D. in Computer Science, Harvard University (2003) Research Staff Member, IBM T. J. Watson Research Center (2003-2009) Assistant Professor (2014-2019, tenured 2017) and Associate Professor (2020-2024), University of Crete Professor and Chair, University of Crete (2024-present) Research Interests: His work spans distributed computer systems , cloud computing , scalable data stores and stream-processing engines , Internet of Things , and the emerging area of quantum-enhanced control . Representative projects include the H.F.R.I.-funded QUADS (2025-2028) on quantum-enhanced adaptive systems, STREAMSTORE (2020-2023) on elastic stream processing, SmartCityBus on IoT-driven public transport, and the EU FP7 PaaSage project on model-based cloud lifecycle management. Awards and Honors: Best Paper Awards: USENIX ATC 2002, USENIX BSDCon 2002, IEEE SRDS 2014 (Best Student Paper), IoT 2024 (Runner-up) Grand Challenge Audience Award, ACM DEBS 2022 Best Poster Award, ACM EuroSys 2022 EU Marie Curie IEF Fellow (2009-2011) Alexander S. Onassis Fellow (1994-1995) and J. William Fulbright Scholar (1993-1994) Students and Mentoring: He has supervised or co-supervised more than 30 Ph.D., M.Sc. and undergraduate students, including Antonis Papaioannou (Ph.D. 2021), Efthimios Papageorgiou (current Ph.D.), and numerous M.Sc. graduates now in industry and academia. Labs and Teams: At FORTH-ICS he leads activities within the Distributed Systems and Storage Laboratory, coordinating research on scalable storage, stream processing, and IoT data management. The lab collaborates closely with European and national initiatives, hosting visiting researchers and industry partners.

Patrik Kovačovskýمشاهده پروفایل

استاد

• Sculpture in 3D virtual space and architecture
• Multimedia Art
• Digital Installations
• +۲ مورد دیگر

Patrik Kovačovský is a Professor and Studio Manager at the Department of Sculpture, Object, Installation at the Academy of Fine Arts in Bratislava. He works at the intersection of sculpture, architecture, and digital space, focusing on innovative artistic research and practice. Academy of Fine Arts in Bratislava (Department of Sculpture, 1990–1996) Art.D. studies, Academy of Fine Arts, 2001–2003 His research integrates traditional sculpture with virtual reality and architectural contexts, producing installations that explore memory, cosmic themes, and cultural identity. Recent works include Fluid Pictures (2011) and Kosmos (2006). 1996 Young Artist of the Year, Slovak National Gallery 2000 Annual Award, Galéria Klatovy/Klenová 2008 Visegrad Artist Residency 2010 Prohelvetia Residency in Zurich

Farzad Sabzikarمشاهده پروفایل

دانشیار

• Stochastic Processes
• Fractional Models
• Optimization Algorithms
• +۲ مورد دیگر

Farzad Sabzikar is an Associate Professor in the Department of Statistics at Iowa State University, specializing in stochastic processes, fractional models, and optimization algorithms. He integrates mathematical theory with applications in machine learning and time series analysis. Education: PhD in Statistics (Michigan State University, 2014), MS in Mathematics (Sharif University, 2009), BS in Mathematics (Isfahan University of Technology, 2006) His research bridges fractional calculus and statistical modeling, focusing on tempered processes and their applications in turbulence analysis, geophysical flows, and high-frequency data. He employs wavelet methods and asymptotic theory to study heavy-tailed phenomena and long-range dependencies. Recent publications emphasize tempered fractional Brownian motion, stable noise modeling, and functional data analysis. Key trends include transient anomalous diffusion, machine learning for cognitive decline classification, and optimized signal processing techniques. Scientific Awards: None listed His work has implications for machine learning, geophysics, and astrophysics, though no formal advising, grant, or lab affiliations are detailed in available sources.

Wai Kiong Oswald Chongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Engineering Systems
• Optimization
• +۱۰ مورد دیگر

Dr. Wai Kiong Oswald Chong is an Associate Professor at Arizona State University's School of Sustainable Engineering and the Built Environment, with a dual affiliation as Senior Global Futures Scientist at the Global Futures Scientists and Scholars program. He holds a PhD in Civil Engineering from the University of Texas-Austin, MSc and BSc in Building from the National University of Singapore, and focuses on integrating artificial intelligence with sustainable engineering systems. PhD (2005): Civil Engineering, University of Texas-Austin MSc (1999) & BSc (1997): National University of Singapore His research bridges lunar construction with Earth-bound sustainable systems, covering topics like: Space habitat modularization Resource circularity systems AI-enhanced building codes Climate-resilient infrastructure Advanced energy modeling Construction supply chain optimization Publications demonstrate consistent focus on: Semiconductor facility HVAC optimization Building energy consumption anomalies Life cycle assessment frameworks Construction risk management Deconstruction and material reuse AI-driven system modeling Current research projects include: Lunar MVI (Moon Village Initiative) Semiconductor fab design optimization Human-AI knowledge interfaces Thermal insulation systems for extreme environments Smart grid energy modeling

Ryozo Nagamuneمشاهده پروفایل

استاد

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +۶ مورد دیگر

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Shabnam Sadeghi Esfahlaniمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Integrated Circuits
• Signal Processing
• Data Analytics
• +۴ مورد دیگر

Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University and serves as the Associate Vice Chancellor at Duke Kunshan University. He holds a Ph.D. from Carnegie Mellon University (2005) and has held leadership roles in research consortia like the FCRP Focus Research Center and the Center for Silicon System Implementation (CSSI). His research bridges integrated circuits , machine learning , and cyber-physical systems , with applications in autonomous driving, battery lifetime prediction, and smart buildings. Education : Ph.D., Carnegie Mellon University (2005); M.S., Fudan University (2001); B.S., Fudan University (1998) His work emphasizes robust design methodologies for analog/RF circuits, data-driven predictive modeling , and Bayesian inference for high-dimensional variation spaces. Recent publications focus on generative adversarial networks for circuit design, multi-view imputation for incomplete data, and knowledge-driven autonomous systems . He has received numerous accolades, including the NSF CAREER Award (2012) , IEEE Donald O. Pederson Best Paper Awards (2013, 2016) , and IEEE Fellow (2017) . He has served as Editor for journals like IEEE Transactions on Biomedical Engineering and as Chair for conferences including ISVLSI and CAD/Graphics.

Joanne Yooمشاهده پروفایل

مدرس ارشد

• Writing as Inquiry
• Autoethnography
• Narrative Inquiry
• +۶ مورد دیگر

Dr Joanne Yoo is a Senior Lecturer in the School of Education within the Faculty of Arts and Social Sciences at the University of Technology Sydney (UTS). She specializes in teacher education with expertise in writing pedagogy, academic literacy, and qualitative research methodologies. Her academic profile demonstrates extensive engagement with pre-service teacher education across primary and secondary programs at UTS, where she has worked intensively in quality teacher education development. Joanne began her career teaching English and ESL to secondary students in South Korea, where she first explored autoethnography and narrative inquiry methodologies. Her educational background in teaching English and ESL formed the foundation for her current research trajectory focused on writing as inquiry and embodied practices in academic contexts. Her research centers on writing as inquiry and embodied practices in academic work, investigating how creative, poetic, and sensory-rich writing approaches can transform research and teaching. She challenges conventional academic writing norms by advocating for methodologies that bridge personal and professional knowledge through lived experience. Her book Evocative Qualitative Inquiry Writing and Research Through Embodiment and the Poetic (2022) provides a comprehensive framework for understanding writing as an aesthetic and embodied practice in academic research. Analysis of her publication record reveals consistent exploration of feminist research methodologies , time and temporality in academia , and the relationship between embodiment and knowledge production . Her work often examines the tensions between institutional demands and authentic academic practice, particularly how writing can serve as a transformative tool for both teachers and researchers navigating contemporary academic pressures. Joanne actively supervises Masters Research and PhD students and has secured significant research funding including 'A day in a life' of a child in Australia and Korea (2019-2026), the Claremont PBL project (2016-2017), and research on the Implementation of the New English K-10 Syllabus (2015-2017). Her collaborative work extends through the UTS Hub School partnership with Sydney primary schools, demonstrating her commitment to bridging theory and practice in teacher education with attention to how creative writing approaches enhance both teacher development and student learning outcomes.

Orit Shaerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Human-AI Collaboration
• Tangible and Embodied Interaction
• +۵ مورد دیگر

Orit Shaer is a Professor and co-Chair of Computer Science at Wellesley College , where she founded and directs the Human-Computer Interaction (HCI) Lab . Her work bridges tangible interaction, human-AI collaboration, and mixed-reality interfaces, focusing on transforming work and learning environments through embodied technologies. Education : B.A. from Academic College of Tel-Aviv, M.S. and Ph.D. in Computer Science from Tufts University Research interests center on novel human-computer interaction paradigms : Human-AI collaboration frameworks Tangible and embodied interface design Mixed-reality applications for productivity Genomics collaboration tools STEAM education technologies Recent publications highlight human-AI co-creation (CHI 2024), temporal dynamics in automated work (CHIWork 2024), and pandemic-era remote interaction studies (IEEE Pervasive Computing 2021). Awarded: NSF CAREER Award Agilent Technologies Research Award Google App Engine Education Award Pinanski Prize for Excellent Teaching Best Paper Honorable Mention (ACM CHI 2014) Honorable Mention (CHIWork 2022) She co-founded the international CHIWork Symposium and chairs the ACM TEI conference. Her NSF IRES grant (2022) supports US-German collaboration on human-automation interaction.

• Power Electronics
• Electrical Machines and Energy Conversion
• Energy Storage Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Murat Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electrical Engineering. His academic career spans over 15 years at Istanbul Technical University, including roles as Deputy Head of Department (2015-2020) and Vice Dean (2020-present). PhD in Electrical Engineering from Istanbul Technical University (1999-2006) Postdoctoral Researcher at University of Illinois at Urbana-Champaign (2007, 2011) His research focuses on: Power Electronics - advanced converter designs and semiconductor applications Electrical Machines - optimization of permanent magnet and reluctance motors Energy Storage Systems - battery efficiency and electrification infrastructure Electric Vehicles - cost-effective BRT systems and sensorless control methods Recent publications highlight his work on IPMSM optimization for light EVs (2025), battery chemistry performance analysis (2025), and PMaSynRM parameter estimation (2024). His research outputs demonstrate strong focus on sustainable energy solutions and motor control systems. Notable awards: 2022 IEEE PEMC Best Paper Award 2022 European Rover Challenge - 3rd Place & Best Robot Arm 2009 WORLD SOLAR CHALLENGE Best New Entrant Multiple TÜBİTAK Formula G awards (2006-2008) IEEE Senior Member (since 2020) Prof. Yılmaz leads multiple funded projects including: 2022-2023: Modeling & Design of Rover Systems for Space Exploration 2020-2021: Flexible SPA Web Applications Consultancy 2018-2021: Battery Charging Systems for Electric Vehicles

• Coastal hydrodynamics
• Sediment transport
• Morphological changes
• +۴ مورد دیگر

Suzana Ilic is a Senior Lecturer at the Lancaster Environment Centre, Lancaster University, specializing in coastal processes and management. Her research focuses on understanding coastal hydrodynamics, sediment transport, and morphological changes along coastlines. She develops practical tools for coastal managers to predict future changes, addressing complex challenges of coastal structures' influence on natural systems including shoreline evolution, water quality, and habitat preservation. Dr. Ilic's research interests center on coastal hydrodynamics and sediment transport processes, with emphasis on developing predictive tools for coastal management. Her work aligns with major environmental initiatives including the Foresight programme on coastal flooding and erosion, Water Framework directives, and offshore sustainable energy development. She employs integrated methodologies combining field monitoring, numerical modeling, and community engagement to address contemporary coastal challenges. Her recent publications demonstrate a strong focus on coastal morphodynamics, with increasing attention to interdisciplinary approaches connecting physical processes with social dimensions of coastal management. The research spans multiple geographical contexts including the UK's Holderness coast and Morecambe Bay, as well as international sites like Croatia, reflecting her global perspective on coastal challenges. Dr. Ilic actively supervises PhD students including Juan Montalvan Lume and leads significant research projects such as NERCOUTE Inclusive Natural Environment Futures (2025-2026) and Adaptation Pathways (2025-2026). Her professional engagement extends to the North West Regional Flood and Coastal Committee and various workshops, demonstrating her commitment to translating research into practical coastal management solutions.

• Climate Change
• Ecology
• Evolution
• +۴ مورد دیگر

Dag Olav Hessen is a Professor at the University of Oslo , leading the Center for Biogeochemistry in the Anthropocene (CBA) . The center integrates expertise from the Department of Life Sciences, Earth Sciences, and Chemistry to investigate climate-carbon-ecosystem interactions in northern latitudes. Research Focus: Climate change impacts on freshwater and marine ecosystems Key Areas: Ecological stoichiometry, genome size, pelagic food webs, permafrost thaw Methodology: Interdisciplinary approaches combining fieldwork, lab experiments, and modeling His recent publications address critical issues like greenhouse gas dynamics in thawing permafrost , tipping points in lake ecosystems , and global change effects on zooplankton communities . Collaborative work spans Arctic char vulnerability, DOM-contaminant interactions, and climate governance frameworks.