جستجوی استاد راهنمای دانشگاهی

Elena Hadzievaمشاهده پروفایل

استاد

• Fractal Geometry
• Iterated Function Systems
• Computer Aided Design
• +۴ مورد دیگر

Elena Hadzieva, PhD, is a Full Professor and currently serves as Dean of the Faculty of Information Systems, Visualization, Multimedia and Animation at the University of Information Science and Technology ‘St. Paul the Apostle’ in Ohrid, North Macedonia. She holds a PhD in Mathematics from the University ‘Ss. Cyril and Methodius’ (Skopje) with a thesis on Iterated Function Systems. Her academic journey includes roles from Assistant Professor (2004) to Associate Professor (2015) before attaining Full Professor status in 2020. Education: PhD in Mathematics (2009), University ‘Ss. Cyril and Methodius’, Skopje MSc in Mathematics (2004), University ‘Ss. Cyril and Methodius’, Skopje BSc in Mathematics (1999), University ‘Ss. Cyril and Methodius’, Skopje Research focuses on Fractal Geometry, Dynamical Systems, and Educational Mathematics, with contributions to software applications for fractal modeling and interdisciplinary STEM education. Recent work addresses medical imaging challenges, pandemic-era online teaching, and analog circuit design. Her articles reflect multidisciplinary engagement: combining fractal analysis with medical diagnostics (e.g., melanoma detection), developing educational tools for 3D fractals, and analyzing pandemic-era pedagogical innovations. She also contributes to electrical engineering through low-power amplifier designs and fault-tolerant systems. Professional roles include Membership in the American Mathematical Society (AMS), Macedonian Mathematical Society, and leadership in CEEPUS networks (e.g., Active Methods in Teaching Mathematics). She serves as National Contact Point for SEFI’s Mathematics Working Group and Editor of the journal Numerus. Her administrative leadership includes coordinating national STEM education initiatives and managing interdisciplinary academic programs. She has pioneered software tools for fractal visualization and contributed to defense technology via IR imaging research.

Kacarska Marijaمشاهده پروفایل

استادیار

• Electrical Engineering
• Renewable Energy Systems
• Power Systems Analysis
• +۵ مورد دیگر

Kacarska Marija is an Assistant Professor at the Faculty of Electrical Engineering, University Ss Cyril and Methodius in Skopje, Macedonia. She holds a PhD (1998), MSc (1988), and BSc (1978) in Electrical Engineering from the same institution. Her career spans over four decades, including roles as a Teaching Assistant (1978–2001) and Assistant Professor since 2001. Her research focuses on electrical engineering applications, including renewable energy systems, power systems analysis, electromagnetic compatibility, and smart grid technologies. She has contributed to studies on photovoltaic integration, battery management, and electromagnetic field effects on humans. Her work emphasizes energy storage solutions, grounding systems for renewable installations, and wireless energy management platforms. Notable projects include the PV-ESTIA initiative for building energy storage and the development of systems to monitor low-frequency magnetic fields. Her expertise also extends to computational methods for electrical impedance tomography and contingency analysis in power systems. Her publications reflect a multidisciplinary approach, bridging electrical engineering with environmental sustainability and medical applications. She has pioneered VR-based systems for visualizing electromagnetic influences on humans, particularly near high-voltage lines and in cellular telecommunications. Her contributions aim to enhance energy efficiency, grid stability, and public health through advanced engineering solutions.

• Semiconductor Device Physics
• Quantum Transport
• Monte Carlo Simulations
• +۳ مورد دیگر

Dragica Vasileska is a Professor at Arizona State University (ASU) in the School of Electrical, Computer and Energy Engineering. She is also a Senior Global Futures Scientist and part of the Global Futures Scientists and Scholars initiative. Her research focuses on computational electronics, semiconductor device physics, and quantum transport modeling. Vasileska has held academic positions at ASU since 1997, advancing to full Professor in 2007. She earned her B.S. and M.S. in Electrical Engineering from Ss. Cyril and Methodius University in North Macedonia, followed by a Ph.D. from ASU in 1995. Her educational background includes a postdoctoral role at ASU’s Center for Solid State Electronics Research. She has authored or co-authored over 200 publications and three books, including Computational Electronics . Vasileska’s work has been recognized with awards such as the 1998 NSF CAREER Award and the 2019 IEEE Fellow distinction. She has secured significant research funding from agencies like NSF, ONR, and DOE, focusing on nanoscale device modeling, solar cell reliability, and quantum effects in electronics. Her research interests span semiclassical and quantum transport in nanoscale devices, semiconductor device modeling, and reliability engineering. Notable projects include the National Center for Computational Electronics and collaborations on solar cell durability through the QESST ERC. Vasileska’s contributions bridge computational methods with experimental insights, advancing technologies in energy-efficient electronics and photovoltaics.

Jonathan Swinglerمشاهده پروفایل

دانشیار

• Robotics Electrical Power Systems
• Electrical Contacts
• Material Degradation
• +۷ مورد دیگر

Dr Jonathan Swingler is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, serving as Director of Internationalisation (Associate Executive Dean) and former Head of Electrical, Electronic and Computer Engineering. His research focuses on robotics electrical power systems, particularly through the National Robotarium's strategic initiatives. With over 30 years of experience, he specializes in material degradation physics, electrical contacts, and reliability engineering for automotive/aerospace systems. His academic roles include overseeing international partnerships and chairing major conferences like Dielectric2011 and the 28th International Conference on Electrical Contacts. He holds Fellow status with the Institute of Physics and is a Chartered Physicist. Key research contributions span laser sintering techniques, machine learning for power electronics prognostics, and DC arc fault mitigation in electric vehicles. Recent studies emphasize predictive maintenance via deep learning, high-temperature electronics packaging, and lightning protection systems for transmission lines. He has authored over 100 publications and pioneered conducting polymer applications to enhance connector reliability under fretting conditions. Notable collaborations include work with the National Robotarium (www.PowerToTheRobots.com) and industry partnerships addressing real-world robotics power challenges. His work bridges fundamental materials science with practical engineering solutions for sustainable energy systems and autonomous technologies.

Bhuvendhraa Rudrusamyمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Vision
• IoT
• +۷ مورد دیگر

Bhuvendhraa Rudrusamy is an Assistant Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on interdisciplinary areas including Artificial Intelligence, Computer Vision, IoT, Robotics, and Disease Modeling. He actively supervises PhD students in topics such as 3D Image Registration and Smart Fleet Management. His work contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (Goal 9), and Good Health and Well-being (Goal 3). Notable research includes data-driven approaches to epidemiological modeling and IoT-based systems for vehicle safety. Recent publications highlight contributions to Bayesian inference for differential equations, multi-robot coordination frameworks, and distracted driver detection using AI. His research emphasizes practical applications in smart systems, autonomous robotics, and public health strategies. Bhuvendhraa collaborates internationally and engages in academic outreach, including workshops on energy storage and global challenges in engineering education.

• Crisis Management
• Multi-Organizational Collaboration
• Disaster Response
• +۳ مورد دیگر

Erna Danielsson is a Professor at Mid Sweden University's Department of Humanities and Social Sciences, part of the Faculty of Human Sciences. She is affiliated with the Risk and Crisis Research Centre (RCR). Her research focuses on crisis management, multi-organizational collaboration during crises, and gender norms in disaster contexts. Notable projects include MOSAIK (Multi-organizational collaboration during crisis), PRACTICE (CBRN terrorism preparedness), and RESECTOR (Nordic crisis management post-COVID-19). Education background includes a Doctorate in Sociology from Umeå University (2002), with a thesis on participation in bureaucratic military decision-making. Key research interests involve volunteer inclusion in disaster response, cross-sector collaboration, and crisis leadership dynamics. She has authored/co-authored over 30 peer-reviewed articles and 15 reports, addressing topics like crisis plans' efficacy, gender roles in disaster recovery, and pandemic management. Her work emphasizes practical impact, with evaluations of Sweden's pandemic response (Sandviken and Västernorrland County) and studies on volunteer mobilization during wildfires. She co-edited books on gender, risk, and crisis (2020) and led a 2021 study on pandemic governance in Sweden. Awards and recognitions are not explicitly listed in the provided texts. Key Projects: RESECTOR (Nordic crisis management), MOSAIK (crisis collaboration), GSS2 (cross-border security) Grants: Funded by Swedish Research Council Formas Labs/affiliations include RCR's crisis simulation and policy analysis teams. Future work includes climate adaptation in healthcare systems (2025 report) and longitudinal studies on post-pandemic crisis governance.

• Combustion Engines
• Alternative Fuels
• Spray Characterization
• +۲ مورد دیگر

Dr. David Emberson is an Associate Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Marine Technology. His research focuses on combustion engine optimization, alternative fuels like ammonia and biofuels, and advanced experimental techniques such as optical combustion diagnostics. His research explores compression ignition systems, spray dynamics, and sustainable fuel solutions including hydrogenated oils, glycerol emulsions, and ammonia combustion. He employs optical methods for in-flame soot measurement and flow optimization. Dr. Emberson's publications (2013-2021) predominantly analyze combustion efficiency, emission reduction, and fuel characterization in engines. Trends include biofuel applications, optical diagnostics, and innovative ignition methods. He teaches courses including Marine Machinery, Internal Combustion Engines, and Propulsion Systems at NTNU.

Xiaolong Liuمشاهده پروفایل

استادیار

• Quantum States of Matter
• Superconductivity
• Scanning Tunneling Microscopy
• +۳ مورد دیگر

Xiaolong Liu is an Assistant Professor in the Department of Physics & Astronomy at the University of Notre Dame. His research focuses on creating and studying novel quantum states of matter, particularly unconventional superconductivity, using advanced scanning probe microscopy techniques such as spectroscopic imaging scanning tunneling microscopy (SI-STM) at cryogenic temperatures. He leads a lab specializing in atom-scale manipulation, in situ material synthesis via molecular beam epitaxy, and 2D heterostructure fabrication. His experimental approaches include ultra-high vacuum environments with magnetic fields up to 9 T and in situ transport measurements. Education: Liu earned a BS from the University of Science and Technology of China (2013) and a PhD from Northwestern University (2018). His work bridges quantum materials research with nanoscale fabrication, emphasizing both fundamental physics and technological applications. His group's research has led to breakthroughs in visualizing electron fluid dynamics and discovering Cooper-pair density waves in transition metal dichalcogenides. Research Interests: His lab explores quantum phenomena in engineered 2D materials and heterostructures, including borophene synthesis, topological superconductors, and electronic phase transitions under extreme conditions. Techniques include single-atom/molecule manipulation and quantum simulation through atomic-scale architectures. Awards & Recognition: Liu has received the 2023 Ralph E. Powe Junior Faculty Award, 2022 Blavatnik Regional Award for Young Scientists (Physical Sciences & Engineering), and the 2022 IUPAP Young Scientist Prize in Low Temperature Physics. His work has been published in top journals like Nature, Science, and Nature Materials. Labs & Teams: His research group operates within the Nieuwland Science Hall, focusing on advanced microscopy and nanofabrication. Collaborations involve theoretical physicists, materials scientists, and engineers to address grand challenges in quantum matter and next-generation electronics.

Ozan Cagatay Ozdemirمشاهده پروفایل

استادیار

• Advanced Metal Additive Manufacturing
• Cold Spray Technology
• Multiphase Flows
• +۴ مورد دیگر

Dr. Ozan Cagatay Ozdemir is an Assistant Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. He specializes in advanced metal additive manufacturing, particularly Cold Spray Additive Manufacturing (CSAM), with expertise in multiphase flows, thermodynamics, and failure analysis. His research is funded by the Department of Defense, Energy, Commerce, and industrial partners, yielding over 700 citations and co-authoring the textbook Practical Cold Spray (2021). Education: PhD in Mechanical Engineering from South Dakota School of Mines and Technology (2017) Research focuses on improving CSAM deposition efficiency, manufacturing rates, and product quality. Key interests include nozzle design, process monitoring, and cybersecurity in additive manufacturing. He holds the 2022 Faculty Research Team Award and leads the Özdemir Research Group at Northeastern’s Innovation Campus in Burlington, MA. Teaching includes Additive Manufacturing, Heat Transfer, and Capstone Design courses. Leadership roles include Chair of ASM International Boston Chapter (2024-2025) and member of the Thermal Spray Society Training Committee. Recent grants include a $4.8M ARL award for wire-arc DED and a $1.5M ARL grant for cybersecurity enhancements in CSAM. Notable innovations include the Internally Cooled Aerodynamically Centralizing Nozzle (ICCN) patent (2024) and contributions to power electronics via copper-AlN coatings. His work bridges fundamental research and industrial applications, emphasizing sustainable manufacturing and high-value asset repair.

• Haptics
• Ultrasound Technology
• Human-Computer Interaction
• +۳ مورد دیگر

Hiroyuki Shinoda is a distinguished academic affiliated with multiple institutions including the University of Tokyo (Department of Complexity Science and Engineering) and Ritsumeikan University (College of Information Science and Engineering). His work focuses on advanced haptic interfaces, ultrasound-based interaction systems, and non-contact manipulation technologies. Education history includes a PhD from the University of Tokyo's Faculty of Engineering (1995), with earlier affiliations at the University of California Berkeley and Tokyo University of Agriculture and Technology. Research emphasizes airborne ultrasound applications in tactile displays, midair object manipulation, and sensory feedback systems. Notable projects include LeviBowl (acoustic levitation), TelekineticDealer (card actuation), and thermal-haptic integration systems. His work bridges robotics, engineering, and human-computer interaction. Over 236 publications span journals like IEEE Trans. Haptics and conferences such as EuroHaptics and SIGGRAPH. Active in developing innovative haptic devices and midair interaction techniques, his lab explores cutting-edge applications in virtual reality, medical training, and assistive technologies.

Karen Leungمشاهده پروفایل

استادیار

• Autonomous Systems
• Robotics
• Control Systems
• +۳ مورد دیگر

Karen Leung is an Assistant Professor in the Department of Aeronautics & Astronautics at the University of Washington (UW), where she directs the Control and Trustworthy Robotics Lab (CTRL). She concurrently holds a partial research appointment at NVIDIA Research. Her work focuses on developing safe and trustworthy autonomous systems, particularly in human-robot interaction and safety-critical environments. Leung is the recipient of the Juris Vagners and Linda Christianson Endowed Faculty Fellowship, established to support female faculty in controls-related research. Education: Ph.D. and M.S. in Aeronautics & Astronautics, Stanford University B.Eng. in Aeronautical (Space) Engineering, University of Sydney B.S. in Mathematics (Advanced), University of Sydney Research Interests: Leung’s research bridges control systems, robotics, and machine learning to ensure human-centric autonomy. Key areas include trajectory optimization, formal safety specifications (e.g., Signal Temporal Logic), and proactive planning for robots interacting with humans. She emphasizes practical applications like disaster response drones and ethical responsibility allocation in multi-agent systems. Her labs integrate theoretical and hardware experimentation, reflecting her commitment to real-world systems. Articles Trends: Her recent publications highlight advancements in safety-critical autonomous systems, leveraging formal methods and machine learning. Topics include perception safety zones, differentiable logic specifications, and trust-building in human-robot collaboration. Work spans aerospace robotics, urban driving scenarios, and interpretable trajectory prediction. Awards: UW + Amazon Science Hub Faculty Research Award William F. Ballhaus Prize (Best Ph.D. Thesis) Qualcomm Innovation Fellowship (US) Outstanding Undergraduate Research Mentor Award (2024) Advising & Grants: Leung advises projects in controls and robotics, with contributions to labs funded by Boeing and the NSF. Her grants support initiatives like information-aware guidance systems and hazard-aware landing optimization (HALO). She actively advocates for female representation in engineering, aligning with the fellowship’s mission. Labs: Her labs, CTRL and AFSL, emphasize hardware-software integration. AFSL explores disaster-response drones, while CTRL focuses on safety and trustworthiness through control algorithms and human-centered design.

Golnoush Abaeiمشاهده پروفایل

مدرس

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Golnoush Abaei is a Lecturer in Industry Practice at RMIT University's School of Computing Technologies. She holds dual roles as Professional Practice Lead (since 2022) and Program Manager for the Bachelor of Software Engineering (since 2023). Her expertise bridges academia and industry, focusing on software engineering, machine learning, and data analytics. She coordinates the Software Testing Course and supervises capstone projects for software engineering undergraduates and IT postgraduates. Research interests include software quality, INS/GPS navigation systems, health-related recognition applications, and blockchain. Notable projects involve AI-powered digital lecturer twins for education and machine learning-driven visual defect detection in software interfaces. Teaching methodologies emphasize collaborative active learning (CAL), problem-based learning (PBL), and curriculum design innovation. She actively supports student internships and graduate job placements through industry partnerships. Over 25 peer-reviewed articles span topics like anomaly detection in IoT networks, medical image processing, and hybrid optimization algorithms. Key Projects: Machine Learning for Testing, AI in Education, BDD Test Automation Grants/Industry Collaboration: Multiple industry-sourced capstone projects Curriculum Development: PBL integration, CAL frameworks, and active learning strategies

• Offshore Robotics
• Marine Engineering
• Carbon Capture and Storage
• +۳ مورد دیگر

Simon Pedersen is an Associate Professor and Head of the Esbjerg Energy Section at Aalborg University's Faculty of Engineering and Science. His research focuses on offshore robotics, marine engineering, carbon capture technologies, and autonomous underwater systems. He leads projects like NextGen Robotics for offshore wind farm maintenance and CarbonAdapt for CO2 storage infrastructure adaptation. Pedersen holds a PhD in Control Engineering from AAU (2016), an M.Sc. in Intelligent Reliable Systems (2013), and a B.Sc. in Electronics and Computer Engineering (2011). Research Interests: Offshore drones, underwater vehicle navigation, robotics control, carbon capture and storage (CCS), and sustainable energy systems. His work addresses UN SDGs related to clean energy and marine environmental protection. Key Projects: Automatic replantation of large-scale eelgrass (2025–2028) NextGen Robotics for underwater inspection (2023–2025) CarbonAdapt: CO2 storage infrastructure adaptation (2022–2025) Publications: Over 80 papers in journals like Journal of Cleaner Production and Carbon Capture Science & Technology , focusing on robotics, CO2 transportation, and energy systems. Recent work includes frameworks for CO2 impurity monitoring and slip prevention in underwater robotics. Awards: Won the Innovation Project of the Year (2024) for contributions to robotics and subsea infrastructure. Advising: Supervises PhD candidates including Kenneth Simonsen (carbon storage) and Esben Uth (autonomous drones). Active in grants totaling millions from Innovation Fund Denmark. Labs/Teams: Leads the Esbjerg Energy Section’s robotics and marine systems teams, collaborating on projects like offshore crawler robots and subsea inspection systems.

Morten Grud Rasmussenمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Energy Engineering
• Power Systems
• +۳ مورد دیگر

Morten Grud Rasmussen is an Associate Professor at the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. His research spans renewable energy systems, mathematics education, and problem-based learning (PBL). He has contributed to projects like 'myPBL-VRMath: Micro-PBL in Mathematics using Virtual Reality' (2024-2025) and 'PBL og matematik: Hvordan kan PBL fungere på universitetets grundfag?' (2018-2019). His work emphasizes integrating VR for abstract mathematics teaching and optimizing renewable energy systems. Collaborations include projects on near-optimal solutions for highly renewable energy systems and pedagogical innovations in engineering education. Research interests include energy system flexibility, socio-economic analysis of renewables, and PBL methodology. He has published on topics ranging from solar power generation to interdisciplinary curriculum design. His recent work explores student experiences with VR-based learning and PBL contextualization in mathematics education. Notable contributions include modeling renewable energy alternatives and exploring storage synergies in pan-European grids. He actively participates in educational workshops and collaborates with institutions like the University of Agder, Norway.

Barış Sürücüمشاهده پروفایل

استاد

• Robust Statistics and Inference
• Statistical Distributions and Applications
• Goodness-of-Fit Tests
• +۱۱ مورد دیگر

Barış Sürücü is a Professor in the Department of Statistics at Middle East Technical University (METU), where he has held academic roles since 2004. He previously served as Deputy Rector at METU (2012-2016) and as a Visiting Professor in the Department of Business at Boğaziçi University (2016-2017). His research spans robust statistics, statistical distributions, goodness-of-fit tests, and applications in reliability engineering, environmental statistics, and big data analytics. PhD in Statistics, METU (2003) MSc in Statistics, METU (1999) BSc in Statistics, METU (1996) His work focuses on developing statistical methods for reliability and survival models, outlier detection, ranked set sampling, and environmental data analysis. His publications address theoretical and applied challenges in goodness-of-fit testing, parameter estimation, and graphical reliability analysis tools. Dr. Sürücü's scientific contributions include 15+ publications in journals such as IEEE Transactions in Reliability and Environmental and Ecological Statistics, with recurring themes in multivariate distribution validation, computational efficiency, and applications to engineering and environmental sciences. Academic Achievement Award, METU (2010) Young Researcher Award, METU Development Foundation (2009) NATO Science Scholarship, TÜBİTAK (2003)