جست‌وجوی استاد و پژوهشگر

Sami Virolainenمشاهده پروفایل

استاد پژوهشی

• Hydrometallurgy
• Chemical Engineering
• Metal Separation
• +۷ مورد دیگر

Sami Virolainen is a Research Professor and Head of the Department of Separation Technology at LUT University's School of Engineering Sciences. His work focuses on hydrometallurgy, particularly in metal separation processes critical for the green transition and resource recovery. Education: LUT University (Chemical Engineering diploma, PhD in 2009) Research interests span separation technology for battery material recycling, rare earth element recovery, and applications in water purification, biorefinery, and Power-to-X technology. His department investigates resource-efficient methods for critical metals like cobalt, nickel, and lithium. Recent publications emphasize sustainable metallurgy , including solvent extraction, ion exchange, and nanofiltration techniques for battery waste and industrial byproducts. Key areas include multi-metal recovery , acid recycling , and rare earth purification . Virolainen leads cross-disciplinary collaborations under LUT's SCI-MAT platform, integrating separation science with economics and sustainability. He advocates for European self-sufficiency in critical metals while acknowledging market-driven challenges. Based in Lappeenranta, he has spent over two decades at LUT University, starting as a chemical engineering student in 2001. His department operates across LUT's geographical locations, including Lappeenranta, Lahti, Mikkeli, and Kouvolan campuses. Outside academia, Virolainen is connected to regional sports culture as a lifelong supporter of Finnish hockey teams like Mikkelin Jukurit and SaiPa, and currently involved with youth basketball through Catz Lappeenranta.

• Energy Technology
• Chemical Engineering
• Bioenergy
• +۷ مورد دیگر

Leteng Lin is a Senior Lecturer at the Department of Built Environment and Energy Technology, Faculty of Technology, Linnaeus University. He holds a PhD in Chemical Engineering (2013), Master's (2005), and Bachelor's (2002) degrees from the same field. His research focuses on energy technology, chemical engineering, and sustainable resource utilization, particularly in combustion, gasification, and pyrolysis processes for biomass and waste feedstocks.

• Laser Modification of Materials
• Thin Films of Semiconducting Oxides and Nitrides
• Glassy Materials and Applications
• +۷ مورد دیگر

Daniel G Georgiev is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. He has been on faculty since Fall 2006, following prior roles as a research faculty member at Wayne State University's Center for Smart Sensors and Integrated Microsystems (SSIM). Education : M.S. in Engineering Physics (Quantum Electronics and Laser Equipment) from Sofia University (1994), Ph.D. in Electrical Engineering (Electronic Materials and Devices) from the University of Cincinnati (2003). Research Interests : Dr. Georgiev's work focuses on laser modification and micro-structuring of materials, thin films of semiconducting oxides/nitrides (e.g., NiO, Zn3N2), glassy materials, metal whiskers (Sn, Cu), wide bandgap semiconductors (GaN, Zn3N2), photovoltaics, and biomedical device applications. His expertise spans device fabrication, material characterization, and radiation effects. Article Trends : Recent publications emphasize GaN-based power electronics, hybrid edge termination structures, threshold switching in nanocircuitries, and material innovations via reactive sputtering. Subfields include laser microstructuring, whisker suppression in Sn films, and doping strategies for nitride semiconductors. Collaborations : Co-authorship with researchers across institutions, including contributions to biomedical implants, II-VI nanocrystals, and chalcogenide glasses.

Zhang Yangمشاهده پروفایل

دانشیار

• Artificial Intelligence in Biomedical Imaging
• Deep Learning for Omics Data Analysis
• Pathogen Detection and Diagnostics
• +۷ مورد دیگر

Zhang Yang is an Associate Professor at the School of Medical Engineering, Harbin Institute of Technology (Shenzhen), with a joint appointment as Visiting Professor at the University of Tokyo starting in July 2024. He holds a PhD from the University of Cambridge's Department of Pathology and an M.Phil. from the University of Hong Kong's HKU-Pasteur Research Center. Previously, he served as an Assistant Professor at Harbin Institute of Technology (Shenzhen) from September 2015 to December 2020. His research integrates computational and experimental approaches to address challenges in pathogen and cancer research. On the computational side, his work focuses on developing AI-powered microscopic imaging systems, applying deep learning to analyze multi-omics data (including proteins, DNA, miRNAs, LncRNAs, and mRNAs), and utilizing deep learning in cheminformatics for drug discovery. On the experimental side, his laboratory combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to understand disease mechanisms at the molecular level. His publication record demonstrates significant impact, with over 50 SCI-indexed papers in high-impact journals including Nature Communications, Briefings in Bioinformatics, Bioinformatics, Analytical Chemistry, and Trends in Biotechnology. His work has been cited by prestigious journals such as Nature Reviews Methods Primers and Nature Communications, with three ESI highly cited papers. His research spans multiple interdisciplinary fields, combining artificial intelligence with biomedical applications to advance diagnostic and therapeutic approaches. World's Top 2% Scientists 2021 Fellow of the Royal Society of Biology Three ESI Highly Cited Papers Five authorized national invention patents As an academic leader, he serves as Associate Editor for BMC Biology and Frontiers in Microbiology, Academic Editor for PLOS Genetics, Editorial Board Member for Communications Biology, and Guest Editor for a Special Issue on AI in analytical chemistry in Trends in Analytical Chemistry. His laboratory actively collaborates with international institutions, with graduates pursuing further studies at Hong Kong Chinese University, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, Macau University, and the University of New South Wales. He teaches Introduction to Modern Biology for undergraduates and Bioanalytical Chemistry for graduate students.

Peter Bach Andersenمشاهده پروفایل

پژوهشگر

• Electric Vehicle Integration
• Grid Services
• Battery Energy Storage
• +۴ مورد دیگر

Peter Bach Andersen serves as Head of Section and Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). Based at Elektrovej 329A in Kgs. Lyngby, he leads research in electric vehicle integration and prosumer energy systems with an ORCID identifier 0000-0002-5202-3584. His work spans grid services, battery storage, and smart charging infrastructure within DTU's EV Lab ( www.evlab.dk ). Andersen's research focuses on electric vehicle grid integration , specializing in charging infrastructure planning, battery energy storage systems, and virtual power plant concepts. His fingerprint analysis reveals dominant expertise in Electric Vehicle Engineering (100%), Battery Engineering (13%), Ancillaries (12%), and Power Engineering (11%). Current projects emphasize flexibility quantification, grid service delivery through EV clusters, and Nordic grid characteristics. His work contributes significantly to UN Sustainable Development Goals related to clean energy and sustainable cities. His publication portfolio shows strong trends toward grid-interactive EV systems with recent emphasis on conditional connection agreements, fast-charging urban impacts, and data-driven battery health prognosis. The research demonstrates increasing focus on practical implementation challenges and market integration aspects of vehicle-grid systems. Andersen actively supervises four PhD students (Menchaca, Striani, Unterluggauer, Sevdari) across projects including charging infrastructure planning, EV clustering methods, and urban charging infrastructure impacts. He leads the FLOW project (2022-2026) investigating flexible energy systems for optimal EV integration while participating in multiple EU-funded initiatives. His research group maintains strong industry connections through DTU's EV Lab, focusing on real-world validation of grid services using commercial EVs and chargers.

Roy Sterrittمشاهده پروفایل

مدرس

• Autonomic Computing
• Robotics
• Machine Learning
• +۵ مورد دیگر

Roy Sterritt is a Lecturer in Informatics at the School of Computing, Ulster University. His research focuses on autonomic computing, robotics, machine learning, and cybersecurity. He has contributed extensively to decentralized systems and fault management in autonomous environments. Research Interests: Roy’s work spans autonomic computing, robotics, and AI, with applications in cloud systems, space exploration, and drone fleets. He emphasizes self-adaptation, fault tolerance, and security protocols. Scientific Awards: Highly Ranked Scholar in Autonomic Computing (2024) Multiple Best Paper Awards (2016–2023) Recent Trends: His recent publications highlight autonomic solutions in cloud security, robot swarms, and space systems, leveraging machine learning and adaptive communication protocols. Projects & Collaborations: Roy has led projects like SPAAACE-Ware and DEL CAST AWARD, focusing on autonomic analytics and apoptotic computing. He organizes international conferences on autonomous systems and collaborates globally.

Massimo Zucchettiمشاهده پروفایل

استاد

• Nuclear Fusion
• Controlled Thermonuclear Fusion
• Radioactive Waste Management
• +۷ مورد دیگر

Massimo Zucchetti is a Full Professor at Politecnico di Torino, Department of Energy (DENERG), where he has been teaching Radiation Protection and Nuclear Power Plants. He maintains a significant international presence as a Research Affiliate at the Plasma Science and Fusion Center at MIT, a position he has held since 2005. His academic journey began at Politecnico di Torino, where he graduated in Nuclear Engineering in 1986 and completed his PhD in Energetica between 1986-1990. He progressed through the academic ranks at Politecnico di Torino from Associate Professor (1998-2002) to Full Professor (2002-present), with prior research experience at the European Commission Joint Research Centre. Zucchetti's research spans nuclear fusion engineering, radioactive waste management, and energy policy. His work focuses particularly on controlled thermonuclear fusion, nuclear safety, and radioactive waste management, with emphasis on tritium transport in fusion reactors, safety analysis of fusion power plants, and environmental impact assessment. He has led multiple significant research projects including TITANS (Tritium Impact and Transfer in Advanced Nuclear reactorS, 2022-2025), components for ITER (2008-2010), and innovative materials for fusion reactors (2004-2006). As coordinator of the IEA Program on Environmental, Safety and Economic Aspects of Fusion Power, he plays a key role in international fusion research collaboration. His recent publications show a clear trend toward practical applications of fusion technology, particularly in the ARC (Affordable Robust Compact) reactor design. These works emphasize neutronics, thermal-hydraulics, tritium management, and safety analysis for compact fusion systems. His research demonstrates increasing focus on making fusion energy more commercially viable through innovative engineering solutions while maintaining rigorous safety standards. The interdisciplinary nature of his work connects nuclear engineering with environmental science and energy policy. Fellow of Plasma Science and Fusion Center, MIT (2015-present) Research Affiliate Fellow at Laboratory for Nuclear Science, MIT (2005-2015) Nomination for 2015 Nobel Prize in Physics for research on advanced fuel nuclear fusion Editor-in-Chief of multiple journals including International Journal of Ecosystems and Ecology Science and Journal of International Environmental Application & Science Zucchetti actively mentors PhD students in the Energetica program at Politecnico di Torino, with current advisees working on topics ranging from multiphysics modeling in ARC-class reactors to innovative materials for next-generation nuclear reactors. He coordinates significant research grants from competitive funding programs including EURATOM and PRIN. His laboratory work focuses on fusion reactor components, particularly breeding blankets and tritium management systems. The TESIN research group within DENERG serves as his primary research team, working on thermal-hydraulic analysis, neutronics, and safety assessments for advanced nuclear systems.

Yasmine Abdinمشاهده پروفایل

استادیار

• Polymer Matrix Composite Materials
• Composites Design and Manufacturing
• Structural Reliability
• +۹ مورد دیگر

Dr. Yasmine Abdin serves as an Assistant Professor in the Department of Materials Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). Her research focuses on advancing polymer matrix composite materials through innovative digital simulation and probabilistic design methodologies. Her academic credentials include: B.Sc. from KU Leuven M.Sc. from KU Leuven Ph.D. from KU Leuven Dr. Abdin's research program centers on overcoming limitations in composite material durability through probabilistic design frameworks and multi-scale modeling. She integrates finite element analysis, machine learning, and Industry 4.0 technologies to predict structural reliability under stochastic service conditions, with emphasis on damage tolerance, manufacturing-process-structure relationships, and optimization of carbon fiber production from sustainable precursors like lignin and asphaltenes. Her recent publications (2023-2025) demonstrate strong focus on sustainable composite manufacturing, including carbon fiber production from renewable resources, 4D printing of shape memory polymers, flax fiber-reinforced composites, cellulose nanofibril modification, and fatigue behavior analysis. Key thematic trends include the convergence of digital twin technologies with composite manufacturing, sustainable precursor development, and the application of machine learning to enhance modeling efficiency in structural reliability prediction. Information regarding doctoral students, research grants, laboratory facilities, or scientific awards was not provided in available sources.

Joe Alexandersenمشاهده پروفایل

دانشیار

• Computational Mechanics
• Topology Optimization
• Fluid Dynamics
• +۵ مورد دیگر

Joe Alexandersen is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering. His research spans structural optimization, heat transfer, fluid dynamics, and high-performance computing, with applications in heat sink design, microfluidic devices, and additive manufacturing. Research Interests Topology and shape optimization Conjugate heat transfer Navier-Stokes flow modeling Finite element methods High-performance computing Scientific Awards 2022 Fluids 2020 Best Paper Award 2017 DTU Young Researcher Award 2015 ISSMO/Springer Prize for Young Scientist Key Projects HiHeaT: Topology optimization for high heat flux components (2024–2027) Structural Analysis of Large Modular Vessels (2025–2027)

• Fluid Power Engineering
• Hydraulic Systems
• Tribology
• +۴ مورد دیگر

Prof. Dr.-Ing. Katharina Schmitz serves as Institute Director and Vice Dean at the Institute for Fluid Power Drives and Systems, RWTH Aachen University. Her leadership within the Production Technology Cluster and extensive contributions to fluid power engineering establish her as a leading authority in mechanical engineering research and education. Her research spans fluid power systems, hydraulic component design, tribology, and physics-informed machine learning applications. She pioneers sustainable propulsion solutions through bio-hybrid fuels research while addressing fundamental challenges in polymer material behavior under hydraulic stresses. Current work focuses on carbon-neutral heavy-duty transportation, physics-based neural networks for lubrication modeling, and advanced control systems for electro-hydraulic actuators. Analysis of her 15 most recent publications reveals a dominant trend toward integrating physics-based modeling with deep learning to solve complex engineering problems. Her team consistently develops novel frameworks for cavitation prediction, flow rate determination, and material compatibility assessment - significantly advancing fluid power system reliability, efficiency, and digitalization. Scientific recognition includes: GfT Förderpreis 2023 for experimental and simulative investigation of partially hydrostatic relieved contacts in variable speed axial piston machines As head of the Institute for Fluid Power Drives and Systems, she leads cutting-edge research in sustainable fluid power technologies. The institute maintains strong industry partnerships while driving innovation in hydraulic component design, digital twins for condition monitoring, and next-generation propulsion systems through its position within RWTH Aachen's Production Technology Cluster.

• Radar Systems
• Radar Waveform Design
• Signal Processing
• +۳ مورد دیگر

Eunhee Kim is a Professor in the Department of Defense Systems Engineering at Sejong University. She holds a Ph.D. in Mechanical Engineering from KAIST and has extensive industry experience in radar systems development. 1995 B.S. in Precision Engineering, KAIST 1997 M.S. in Mechanical Engineering, KAIST 2004 Ph.D. in Mechanical Engineering, KAIST Her research focuses on Radar Systems , Waveform Design , and MIMO Radar signal processing. She has contributed to projects involving space object tracking, airborne radar systems, and automotive radar optimization. Recent publications highlight her work on Machine Learning integration for Energy Forecasting and advanced MIMO Array Designs for improved radar resolution. She leads the Defense Radar Technology Laboratory, specializing in Phased Array Radar and Broadband Noise Radar systems. Patents include vehicle camouflage netting and RF-based positioning systems. Collaborations with agencies like Agency for Defense Development and companies such as LIG Nex1 and Hanwha Systems are prominent in her career.

• Cybersecurity
• Critical Infrastructure Security
• Cyber-Physical Systems
• +۴ مورد دیگر

Aida Akbarzadeh is a Senior Researcher at the Norwegian University of Science and Technology (NTNU) , specifically within the Department of Information Security and Communication Technology under the Faculty of Information Technology and Electrical Engineering . Her work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems (CPS). Research Areas: Threat modeling, digital twins for security, dependency-based risk analysis, advanced persistent threats (APT), IT/OT integration, and industrial control system vulnerabilities. Publications: Recent work includes studies on automating threat modeling, digital twin applications, APT attacks on power grids, and protocol-specific vulnerabilities (PTP, IEC 61850, IEC 60870-5-104). Collaborations: Active in interdisciplinary research with colleagues like Laszlo Erdodi, Siv Houmb, Sokratis Katsikas, and Tore Soltvedt. Labs & Groups: Member of the Critical Infrastructure Security and Resilience Group (CISaR) . Contact: aida.akbarzadeh@ntnu.no

David Armstrongمشاهده پروفایل

استاد

• Aerospace materials
• Nuclear power
• Materials for extreme environments
• +۵ مورد دیگر

Professor David Armstrong serves as Professor of Materials Science and Engineering at the University of Oxford and Fellow and Tutor at St Edmund Hall. His work focuses on developing materials for extreme environments including nuclear fusion reactors, aerospace systems, and energy storage applications through microstructural control and advanced mechanical characterization. His educational background includes a first degree in Materials Science from St Anne’s College, Oxford and a DPhil from Corpus Christi, Oxford investigating micromechanical properties in copper and nickel alloys. This foundational work evolved into radiation damage studies during his Culham Centre for Fusion Energy Junior Research Fellowship. Armstrong's research centers on mechanical behavior of materials under extreme conditions—high temperatures (jet engines, reactors), radiation exposure (nuclear facilities, space), and high stresses (batteries, geological systems). He develops novel testing methodologies for nanoscale mechanical properties up to 1300 K, collaborating with Rolls Royce, UKAEA, ESA, and Berkeley on fusion materials, aerospace components, and battery technologies. His work bridges fundamental micromechanics with industrial applications in energy systems. Analysis of his 2023-2025 publications reveals dominant themes in nuclear fusion materials (tungsten, ODS steels), lithium battery interfaces, and ceramic composites for extreme environments. Methodologically, his group pioneers correlative microscopy combining nanoindentation, TEM, and atom probe tomography to study irradiation effects, high-temperature deformation, and interfacial degradation across length scales. His scientific recognition includes: Culham Centre for Fusion Energy Junior Research fellowship (2009) Royal Academy of Engineering Research Fellowship (2013) Institute of Materials Minerals and Mining Grunfeld Memorial Award & Medal (2015) As an educator, Armstrong teaches core mechanical properties courses across undergraduate years and leads Fusion CDT modules on nuclear materials. He supervises numerous doctoral students while serving on the EPSRC Fusion Advisory Board and CDT management board. Current grants support micro-engineering of alloys for nuclear environments and lithium-metal battery development through industry partnerships with Rolls Royce and MicroMaterials. His research group operates advanced micromechanical testing facilities for high-temperature and irradiated materials, collaborating with UKAEA’s Culham Centre and European fusion laboratories on plasma-facing component development. Future work targets solid-state battery interfaces and radiation-resistant high-entropy alloys for next-generation fusion reactors.

Sam Powerمشاهده پروفایل

مدرس

• Computational Statistics
• Monte Carlo Methods
• Markov Chain Monte Carlo (MCMC)
• +۴ مورد دیگر

Sam Power is a Lecturer in the School of Mathematics at the University of Bristol . He holds a PhD in Mathematics from the University of Cambridge (awarded January 2021) and an MMath. His research focuses on computational statistics, Monte Carlo methods, and probabilistic modeling. Education PhD, University of Cambridge (30 Aug 2016 – 30 Jan 2021) MMath, University of Cambridge Research Interests Dr Power’s work lies at the intersection of probability theory , statistics , and machine learning . He investigates advanced Monte Carlo techniques including Markov Chain Monte Carlo (MCMC), particle methods, and piecewise-deterministic Markov processes. His recent projects explore convergence guarantees via functional inequalities such as Poincaré and log-Sobolev inequalities, state-space models for online learning, and uncertainty quantification. Publication Trends Across 20+ publications (2019–2025), Power has consistently advanced theoretical understanding and practical performance of sampling algorithms. Key themes include error bounds for particle and gradient-based methods, weak Poincaré inequalities, and applications in machine-learning systems such as online skill rating and Bayesian active learning. Scientific Awards No awards explicitly listed in the provided material. Students & Grants No explicit information on supervised students or funded grants is present. Labs & Teams Dr Power is affiliated with the School of Mathematics at Bristol; no specific laboratory or research group name is provided.

Athanasios D. Panagopoulosمشاهده پروفایل

استاد

• Communications
• Wireless Communications
• Radio Communications
• +۹ مورد دیگر

Athanasios D. Panagopoulos is a Full Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), specializing in Satellite & Space Communications , Antennas and Propagation , and Quantum Communication . He leads the Division of Information Transmission Systems and Material Technology, with a focus on wireless systems, machine learning, and 5G/6G technologies. Born in Athens (1975), received summa cum laude Diploma and Dr. Engineering from NTUA (1997, 2002). Former roles: part-time Assistant Professor (2003-2007), head of Satellite Division at Hellenic Authority for Information Security (2005-2008). Research Trends emphasize Quantum Key Distribution (QKD) , Reconfigurable Intelligent Surfaces , and Deep Learning Applications in satellite networks. His work bridges atmospheric propagation effects with terrestrial-satellite convergence , including AI-driven excess attenuation prediction and UAV channel modeling. Scientific Awards include URSI General Assembly Young Scientist Award (2002, 2005) Best Paper Awards: IEEE RAWCON 2006, IEEE ISWCS 2015 Grants & Collaborations : Principal Investigator for EU/ESA R&D programs, with editorial roles at IEEE Transactions on Antennas and Propagation, and Elsevier Physical Communication. Member of ITU-R , ETSI Study Groups , and IEEE (Senior) .