جست‌وجوی استاد و پژوهشگر

• Software engineering
• Operating systems
• Man-computer interaction
• +۶ مورد دیگر

Seppo Sierla is a University Lecturer at Aalto University's Department of Electrical Engineering and Automation within the School of Electrical Engineering. His expertise spans software engineering, automation systems, and human-computer interaction. He has been repeatedly recognized for his teaching excellence, notably receiving multiple Recognition Awards for bachelor-level courses such as Automation Systems 1 (2019-2020), Automation Software Projects (2018-2019), and Automation 1 (2017-2018). These awards highlight his impactful contributions to curriculum development and student engagement in automation education. His research focuses on industrial automation technologies, including digital twins, reinforcement learning applications in energy systems, and process optimization. Notable projects include physics-informed modeling in steel manufacturing and energy-efficient district heating systems. He also explores cloud-based MLOps frameworks and renewable energy time-shifting strategies for photovoltaic systems. Key Research Themes : Industrial process automation, digital twin integration, reinforcement learning for energy systems, and sustainable manufacturing. Recent Contributions : Over a dozen peer-reviewed publications since 2021, addressing topics ranging from steel production modeling to HVAC frequency control. Dr. Sierla's work bridges academic research and industrial applications, emphasizing practical implementations in sectors like manufacturing and energy. His teaching and research synergize to advance automation education and technological innovation.

Yilu Liuمشاهده پروفایل

استاد

• Smart Grids
• Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Yilu Liu is the UT-ORNL Governor’s Chair Professor at the Min H. Kao Department of Electrical Engineering and Computer Science, Tickle College of Engineering, University of Tennessee, Knoxville. Her research focuses on smart grids, power systems, renewable energy integration, and cybersecurity in energy infrastructure. She holds a PhD (1989) and MS (1986) from The Ohio State University and a BS (1982) from Xian Jiaotong University. Her work emphasizes synchrophasor technology, AI-driven grid stability assessment, and high-renewable grid resilience. She has pioneered methods for real-time grid monitoring, inertia estimation, and fault-tolerant systems. Her research addresses challenges in integrating renewables and ensuring grid reliability through advanced measurement, compression, and control techniques. Recent studies include pulsar-based timing synchronization, low-inertia system analysis, and hybrid energy storage solutions. Her contributions span cybersecurity defenses against data spoofing and machine learning applications for grid optimization. Liu leads projects like CURENT, advancing ultra-wide-area grid resilience and real-time data analytics. Her advising and grant activities reflect her leadership in energy research, though specific student names or grant details are not listed here. She is affiliated with the Center for Ultra-wide-area Resilient Electric Energy Transmission Networks (CURENT), driving collaborative innovations in smart grid technologies.

Pascal Del'Hayeمشاهده پروفایل

پژوهشگر

• Microphotonics
• Optical Frequency Combs
• Microresonators
• +۷ مورد دیگر

Pascal Del'Haye is a Group Leader at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany, where he heads the Microphotonics research group. His work focuses on advancing integrated photonics through innovative approaches to microresonator design, nonlinear optical phenomena, and frequency comb generation. With a strong publication record in high-impact journals, Del'Haye has established himself as a leading researcher in the field of microphotonics and nonlinear optics. Dr. Del'Haye's research spans several key areas in modern photonics: Microresonator-based optical frequency combs and soliton physics Nonlinear optical phenomena including symmetry breaking and Kerr effects Advanced materials for integrated photonics, particularly silicon nitride platforms Novel designs for photonic integrated circuits using inverse design techniques Hybrid photonic systems combining multiple materials and nonlinear effects His recent work (2023-2025) demonstrates a clear trend toward increasingly sophisticated integrated photonic systems that leverage multiple physical phenomena simultaneously. Del'Haye's group has pioneered approaches to control dispersion through segmented sidewall modulation, generate multiple comb states via cascaded Brillouin scattering, and combine different nonlinear effects in single devices through hybrid material platforms. This work has significant implications for telecommunications, sensing, quantum information processing, and precision metrology, with many publications highlighting the potential for CMOS-compatible implementations that could enable commercial applications and large-scale integration. As a Group Leader at one of the world's premier photonics research institutions, Del'Haye supervises multiple researchers and students, fostering the next generation of photonics scientists. His work is supported by significant research funding that enables state-of-the-art experimental capabilities for nanofabrication and optical characterization, with recent publications indicating strong collaborations across multiple institutions and research groups. The Microphotonics group operates advanced laboratories for photonic device fabrication and testing, with particular expertise in silicon nitride photonics, microresonator design, and frequency comb generation. The group collaborates extensively with other divisions at MPL and with international research teams to push the boundaries of integrated photonics technology, with recent work spanning from fundamental theoretical investigations of symmetry breaking to practical device implementations for optical switching and communication applications.

• Computational Materials Science
• Ab Initio Methods
• Condensed Matter Physics
• +۷ مورد دیگر

Sergey Simak is a Professor and Head of Unit at Linköping University, affiliated with the Department of Physics, Chemistry and Biology (IFM), specifically within the Theoretical Physics (TEOFY) and Theory and Modelling divisions. His research focuses on computational and theoretical approaches to understanding advanced functional materials. His research interests lie at the intersection of computational materials science and theoretical physics , particularly in ab initio methods , phase transitions , high-pressure materials , and energy-related functional materials . He develops and applies advanced modeling techniques to predict and understand the behavior of complex solid-state systems, including dynamically disordered materials and high-temperature alloys. The recent publications highlight a strong trend in using first-principles simulations combined with machine learning to enhance materials thermodynamics and discover novel compounds under extreme conditions. His work spans from fundamental magnetic phase diagrams in iron to the synthesis of hydrogen-rich silicates and optimization of perovskite optoelectronic devices, reflecting a broad yet cohesive research program in energy materials and sustainable technologies . Scientific recognition includes: Major research funding recipient from the Swedish Research Council (nearly SEK 97 million, 2019) Sergey Simak leads a research unit focused on theory and modeling, contributing to national and international collaborations. He has secured significant grants supporting computational infrastructure and team development. While formal advisees are not listed, his leadership role and publication record suggest active mentorship within the research group. He is part of the Theory and Modelling research environment at IFM, which develops mathematical models and computational methods to understand natural phenomena, particularly in materials science and condensed matter physics.

• Geological Carbon Storage
• Underground Hydrogen Storage
• Reservoir Engineering
• +۴ مورد دیگر

Hongsheng Wang is a Research Fellow at the Bureau of Economic Geology within the Jackson School of Geosciences at The University of Texas at Austin. His research focuses on advancing subsurface energy technologies through interdisciplinary approaches combining geoscience, engineering, and machine learning. Key areas include geological carbon storage, underground hydrogen storage, reservoir simulation, and fracture mechanics. His work emphasizes innovative applications of machine learning for challenges such as CO2 plume migration forecasting, parameterization of 3D saturation data, and fracture conductivity analysis. He also investigates leakage mitigation strategies in hydrogen storage systems and the role of permeability heterogeneity in subsurface processes. Publications highlight contributions to microfluidic experiments, porous media dynamics, and AI-driven reservoir modeling. Current projects involve surrogate models for large-scale simulations and dimension reduction techniques to enhance computational efficiency in carbon storage assessments.

• Experimental Fluid Mechanics
• Low-Gravity Fluid Dynamics
• Capillary Fluid Physics
• +۶ مورد دیگر

Steven Collicott is a Professor in the School of Aeronautics and Astronautics at Purdue University. He holds a B.S. from the University of Michigan (1983), and M.S. and Ph.D. from Stanford University (1984, 1991). His research focuses on experimental fluid mechanics, low-gravity fluid dynamics, and capillary physics, with applications in space propulsion systems and microgravity environments. Collicott has led projects such as the Capillary Fluids Experiment on the International Space Station and pioneered the use of the Surface Evolver code for capillary fluid analysis. Education: B.S., University of Michigan, Aerospace Engineering, 1983 (magna cum laude) M.S., Stanford University, Aeronautics & Astronautics, 1984 Ph.D., Stanford University, Aeronautics & Astronautics, 1991 His research explores capillary-driven fluid behavior in space and terrestrial systems, including propellant management in spacecraft, spray dynamics, and cavitation in high-pressure systems. Collaborations include studies with Rolls-Royce and Purdue’s Civil Engineering School on aeroelastic failures of lighting towers. Collicott has also contributed to sub-orbital research platforms and educational initiatives. His awards include induction into Purdue’s Book of Great Teachers (2008) and the AIAA Special Service Citation (1997). Key projects span fluid interface stability in microgravity, propellant positioning in tanks, and optical diagnostics for flow visualization. He has developed technologies like cryogenic propellant gauging systems and fluidic spray control orifices. Advising & Grants: Advised on capillary fluid experiments and turbine engine projects. Collaborative grants include work with NASA and industry partners on propulsion and fluid dynamics. Labs/Teams: Leads Purdue’s Drop Tower experiments and collaborates with teams at NASA, Blue Origin, and commercial spaceflight entities.

Mrinal K Senمشاهده پروفایل

استاد

• Seismic Wave Propagation
• Geophysical Inverse Problems
• Seismic Anisotropy
• +۷ مورد دیگر

Mrinal K Sen is a Professor and Morgan J. Davis Centennial Chair in Geosciences at the University of Texas at Austin's Jackson School of Geosciences. He leads the Sen Research Group and holds affiliations with the Department of Earth and Planetary Sciences and the Institute for Geophysics. His work focuses on seismic wave propagation, anisotropy, and geophysical inverse problems, with applications in exploration seismology, reservoir characterization, and whole-Earth seismology. Sen pioneered methods combining Bayesian statistics, machine learning, and advanced numerical techniques to address uncertainty quantification and improve seismic imaging. Education: Ph.D., University of Hawaii at Manoa M.S., Indian School of Mines (now IIT) B.S., Indian School of Mines (now IIT) Research Interests: Seismic Inversion and FWI Bayesian Methods and Uncertainty Analysis Machine Learning in Geophysics Anisotropy and Wave Propagation Reservoir and CO2 Storage Modeling Recent work emphasizes hybrid quantum-neural networks for image generation, trans-dimensional MCMC for FWI, and physics-guided deep learning. His articles highlight advancements in stochastic inversion, fluid saturation modeling, and ambient noise monitoring for groundwater studies. Labs/Teams: Director of the Sen Research Group and former Interim Director (2017-2018) and Associate Director (2016-2020) of the UT Institute for Geophysics.

• Nuclear Physics
• Particle Physics
• Quantum Chromodynamics (QCD)
• +۵ مورد دیگر

Naomi C R Makins is a Research Professor at the University of Illinois Urbana-Champaign, affiliated with the Department of Physics within The Grainger College of Engineering. Her research focuses on understanding the proton's structure, including spin dynamics, antiquark asymmetry, and fragmentation processes. She holds a Ph.D. in Physics from MIT (1994) and joined UIUC in 1997, progressing through academic ranks to become a Professor Emerita. Key contributions include leadership in the HERMES and SeaQuest experiments, where she pioneered Monte Carlo simulations and detector upgrades. Education: Ph.D., Physics, Massachusetts Institute of Technology, 1994 Bachelor's Degree, Physics, University of Alberta, 1989 Research interests emphasize non-perturbative QCD phenomena and experimental high-energy physics. Her work addresses the proton's spin puzzle, sea quark flavor asymmetry, and hadron formation. She led the HERMES Monte Carlo group and designed hardware for the SeaQuest experiment's forward scintillator hodoscopes. Scientific Honors: Fellow, American Physical Society (2011) Willett Faculty Scholar (2001–2008) Alfred P. Sloan Foundation Fellowship (1999) Arnold Nordsieck Teaching Award (2004) Teaching and Advising: She has taught advanced physics courses (e.g., Subatomic Physics, Quantum Mechanics) and been recognized repeatedly for teaching excellence. Her group specializes in software development, data analysis, and experimental instrumentation. Labs/Teams: Active in HERMES (DESY), SeaQuest (Fermilab), and proposed projects at CERN's COMPASS-II. Involved in detector design and Monte Carlo simulations for future spin-dependent experiments.

Bryan Markمشاهده پروفایل

استاد

• Physical Geography
• Climate and Environmental Change
• Paleoclimatology
• +۴ مورد دیگر

Bryan Mark is a Professor in the Department of Geography at The Ohio State University, affiliated with the College of Arts and Sciences. He is also involved with the Byrd Polar and Climate Research Center and the State Climate Office of Ohio. His research focuses on physical geography, climate-glacier-hydrologic dynamics, and mountain studies, with fieldwork in the Peruvian Andes, Great Basin, and Himalayas. Education: Ph.D. 2001, Syracuse University (Earth Sciences) M.A. 1995, Ohio State University (Geography) B.A. 1992, Brown University (History) Research Interests: Earth-Water-Atmosphere interactions, tropical glaciers, and climate change impacts on mountain regions. His work integrates field, lab, and computational methods across disciplines like paleoclimatology, geomorphology, and biogeochemistry. Recent projects include studying glacier retreat, proglacial hydrology, and climate adaptation strategies in vulnerable regions. Advising & Grants: Leads the Glacier Environmental Change research group, collaborating internationally. Active in interdisciplinary projects funded by NSF and other agencies. Courses taught include climatology, global environmental change, and mountain geography. Labs/Teams: Byrd Polar and Climate Research Center, State Climate Office of Ohio. His lab focuses on mountain hydroclimate dynamics and cryo-social systems in the American Cordillera and Himalayas.

Zoleikha A. Bironمشاهده پروفایل

استادیار

• Cyber Physical Systems
• Intelligent Transportation Systems
• Control Theory
• +۴ مورد دیگر

Zoleikha A. Biron is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Florida. Her research focuses on cybersecurity, resilient control, and optimization of cyber-physical systems (CPS), with applications to intelligent transportation systems, smart power grids, and renewable energy integration. She holds a Ph.D. from Clemson University (2017), and prior to joining UF in 2019, she conducted postdoctoral research at Clemson University's International Center for Automotive Research (CU-ICAR). Education: Ph.D., Electrical Engineering, Clemson University, 2017 M.S., Electrical Engineering, K.N. Toosi University of Technology, Iran B.S., Electrical Engineering, University of Tehran, Iran Research Interests: Dr. Biron specializes in secure CPS design, fault diagnosis, and control theory. Her work integrates machine learning with control systems to enhance system resilience against cyber-physical threats. Key areas include: Resilient control strategies for power grids and transportation systems Game-theoretic methods for load management in microgrids Safety-critical autonomous systems and reinforcement learning Thermal fault diagnosis in lithium-ion batteries Funding & Projects: As Principal Investigator (PI), she leads NSF- and AFRL-funded projects focusing on cyber-survivability frameworks, real-time EV integration, and multi-pronged attack mitigation. Notable grants include: "A Multi-Level Cyber-Survivability Framework" (AFRL, 2024-2025) "Cyber Agility against Multi-Pronged Attacks" (AFRL, 2024-2025) "Real-time EV Integration Framework" (NSF CRII, 2022-2024) Labs & Teams: Her research group explores interdisciplinary challenges in CPS through hardware-in-the-loop (HIL) testing with OPAL-RT simulators. Active projects include motion planning for F1/10th autonomous vehicles and battery management systems for electric vehicles.

• Renewable Energy
• Transportation Technology
• Healthcare Technology
• +۴ مورد دیگر

Dr Pouran N Hudson is a Research Fellow at Curtin University, affiliated with the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) within the Faculty of Science and Engineering. She holds a portfolio role in the Office of the Provost and operates across multiple Curtin campuses including Perth, Dubai, Malaysia, Mauritius, and Singapore. Her research spans renewable energy transportation systems, radiation therapy dosimetry, and healthcare technology innovation. She teaches across interdisciplinary areas including the Centre for Aboriginal Studies, Business and Law, Health Sciences, Humanities, and Science and Engineering. Her work focuses on techno-economic analysis of hydrogen trucks, green energy applications in transport, and advancing medical dosimetry technologies. Recent projects include cost competitiveness studies for zero-emission trucks in Australia and predictive modeling for healthcare outcomes using electronic medical records. Her earlier research (2010-2013) concentrated on scintillation dosimetry arrays and light propagation in medical radiation applications. Dr Hudson’s articles explore themes such as sustainable transportation infrastructure, radiation therapy precision, and materials science innovations. She contributes to global discussions on energy transition strategies and healthcare technology advancements. No scientific awards are listed in the provided information. Her advisory work and grants are not detailed in the current profile, but her cross-campus roles suggest involvement in strategic academic initiatives.

• Mechanical Engineering Asset Management
• System Reliability Engineering
• Condition-Based Maintenance
• +۸ مورد دیگر

Tieling Zhang is an Associate Professor at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering. He holds a PhD from Tokyo University of Marine Science and Technology. His research focuses on system reliability engineering, machine learning applications, energy storage systems, and pipeline integrity management. He has published over 100 peer-reviewed articles and secured over AUD 7 million in research funding. Research Interests: Statistical Data Modelling, Big Data Analytics, Bayesian Inference, System Reliability Modelling, Degradation Modelling, Wind Turbine Maintenance, Battery Management, Smart Grids. Awards: Recipient of three Best Paper Awards from international conferences. He leads the Engineering Asset Management and Systems Engineering Research Group and serves on editorial boards of journals like Information and Machines . Teaching: Contributes to Master's programs in Engineering Asset Management and Engineering Management. Supervises PhD/Master’s students on topics like battery diagnostics, UAV wildfire management, and human-robot collaboration safety. Funding Highlights: Includes grants for battery health estimation, pipeline integrity, and railway asset management. Collaborates with industry partners like the Australasian Centre for Rail Innovation and Energy Pipeline Cooperative Research Centre.

Zachary Petersonمشاهده پروفایل

استاد

• Cybersecurity
• Computer Security Education
• Privacy
• +۵ مورد دیگر

Zachary Peterson is a Professor in the Department of Computer Science at California Polytechnic State University (Cal Poly), specializing in cybersecurity education and privacy research. He develops innovative pedagogical tools such as Fakesbook (a simulated social network for teaching privacy concepts) and cybersecurity ARGs (Alternate Reality Games) to engage students in security practices. His work bridges technical cybersecurity challenges with educational outreach, particularly for K-12 and undergraduate audiences. Research Focus: Peterson's research spans cybersecurity education, privacy-enhancing technologies, and secure file systems. He emphasizes inclusive design principles, such as browser security for visually impaired users, and has explored compliance frameworks for regulatory requirements in healthcare and federal systems. His work also addresses emerging threats in cyber-physical systems like autonomous vehicles. Awards & Recognition: A Fulbright Scholar in cybersecurity, Peterson has received prestigious grants including the NSF SaTC Award and Google CS Engagement Award. His contributions to cybersecurity competitions and underrepresented group participation have shaped educational equity initiatives in the field. Grants & Advising: Leads NSF-funded projects for K-12 cybersecurity education and advises initiatives such as the GenCyber Teacher Training program. His collaborations include industry partnerships and international lectures at venues like UCL's Cybersecurity Research Centre. Key Platforms: Active in conferences like USENIX Security, IEEE S&P, and SIGCSE. Develops open-source tools for secure storage (e.g., DEFY file system) and cybersecurity training platforms. His research outputs span over 30 peer-reviewed articles and patented technologies.

Fareed Ud-Dinمشاهده پروفایل

مدرس ارشد

• Distributed Computing
• Multi-Agent Systems
• Industry 4.0
• +۲ مورد دیگر

Fareed Ud-Din is Senior Lecturer in Computer Science at the University of New England's School of Science and Technology. His research develops computational frameworks for Industry 4.0 applications including the Extended Agent-Oriented Smart Factory (xAOSF) for small-medium enterprises. Current projects apply AI and machine learning to healthcare project management, medicinal plant identification, and organizational agility prediction. He leads research on distributed systems and cyber-physical systems integration. Ud-Din has received multiple academic awards including Best Research Paper (2018) and Best Conference Presentation (2020). He teaches programming, software engineering, and project management courses.

Charith Rathnayakaمشاهده پروفایل

مدرس ارشد

• Computational Mechanics
• Sustainable Engineering
• Renewable Energy
• +۳ مورد دیگر

Dr Charith Rathnayaka is a Senior Lecturer in Mechanical Engineering at the University of the Sunshine Coast (UniSC) and a Senior Fellow of the Higher Education Academy (SFHEA). He also serves as an Adjunct Lecturer at Queensland University of Technology (QUT). His research focuses on computational mechanics, sustainable engineering, renewable energy, food drying, and physics-informed machine learning, with a particular emphasis on developing environmentally and economically sustainable processes. Dr Rathnayaka holds a PhD from QUT (2017) and a Bachelor of Engineering (Honours) from the University of Moratuwa (UOM). Education: PhD in Computational Mechanics, Queensland University of Technology (2017) BScEng(Hons) in Engineering, University of Moratuwa (First Class Honours) His research interests include computational modeling of plant cellular drying, green hydrogen systems, and machine learning applications in food science. He teaches thermodynamics, fluid mechanics, and heat transfer, integrating research into his teaching. Dr Rathnayaka has received awards such as the QUT Outstanding Doctoral Thesis Award and SFHEA recognition. He leads research grants focusing on renewable energy integration, advanced materials, and aquaculture monitoring. Current projects include small-scale green hydrogen systems for agriculture and machine learning-based food drying prediction. He supervises PhD students in areas like microscale morphological changes during drying. Awards: QUT Outstanding Doctoral Thesis Award (2017) Senior Fellow of the Higher Education Academy (SFHEA) Professional Memberships: Australasian Fluid Mechanics Society (AFMS) Australasian Association of Engineering Education (AAEE) Dr Rathnayaka’s work bridges computational modeling and real-world applications, with contributions to peer learning as Co-Editor of the Journal of Peer Learning and Guest Editor for Journal of Visualised Experiments (JoVE) .