جست‌وجوی استاد و پژوهشگر

Paola Falugiمشاهده پروفایل

مدرس ارشد

• Predictive Control Systems
• Data-Driven Modelling
• System Modelling and Optimization
• +۴ مورد دیگر

Dr. Paola Falugi is a Senior Lecturer in Electro-Mechanical Engineering at the University of East London and holds an honorary visiting researcher position at Imperial College London. Her expertise spans predictive control systems, data-driven modeling, and energy network optimization under uncertainty. Senior Lecturer, Department of Engineering & Construction, School of Architecture, Computing and Engineering, University of East London Honorary Visiting Researcher, Imperial College London Research focuses on: Predictive control strategies for uncertain systems Data-driven modeling for control applications Optimization methods in energy network expansion Energy management under stochastic conditions Control systems for robotics and mechatronics Recent publications highlight her contributions to: Robust co-design frameworks for building energy systems Machine learning integration in transmission expansion planning Automated scenario generation for optimal control Control strategies for residential buildings with energy storage Her work bridges theoretical advancements in control theory with practical applications in energy systems and building automation.

Andrea Vinciمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Edge-Cloud Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Andrea Vinci is an accomplished researcher with 66 publications and 1,261 citations, specializing in the intersection of quantum computing, edge-cloud architectures, and Internet of Things (IoT) systems. His work demonstrates significant contributions to solving complex computational problems through innovative approaches that bridge theoretical quantum algorithms with practical distributed computing applications. His research interests span quantum computing applications for resource management, multi-density clustering techniques for urban analytics, and platform-independent IoT application development. Vinci has pioneered work in variational quantum algorithms for cloud/edge resource allocation, quantum kernels for IoT data classification, and distributed AI for cognitive building systems. His research demonstrates a consistent focus on addressing NP-hard problems through quantum-classical hybrid approaches. Analysis of Vinci's publication trends reveals a strategic research trajectory moving from foundational work in smart city analytics and crime prediction toward cutting-edge quantum computing applications for IoT and edge-cloud systems. His recent publications (2023-2025) show increasing focus on quantum machine learning techniques specifically tailored for IoT data processing, with significant attention to practical implementation challenges. Vinci maintains an extensive collaborative network, frequently publishing with researchers including Fabrizio Marozzo, C. Mastroianni, J. Settino, and Antonio Guerrieri across multiple high-impact venues including IEEE Transactions, ACM conferences, and specialized journals in quantum computing and distributed systems. His technical contributions include the development of the COGITO platform for cognitive buildings, novel approaches to multi-density crime prediction, and significant advancements in quantum kernel methods for IoT data analysis. Vinci's tutorial publications indicate his role in educating the broader research community about emerging quantum computing applications for distributed systems.

Amandine Schaefferمشاهده پروفایل

مدرس ارشد

• Physical Oceanography
• Marine Heatwaves
• Western Boundary Currents
• +۴ مورد دیگر

Dr. Amandine Schaeffer is a Senior Lecturer at UNSW Sydney's School of Mathematics & Statistics, specializing in physical oceanography, marine heatwaves, and jellyfish trajectory modeling. Her research integrates mathematical tools with observational data to study coastal dynamics, boundary currents, and climate extremes. PhD in Physical Oceanography (2010), Mediterranean Institute of Oceanography MSc in Physical Oceanography (2006), University of Toulon Masters in Marine Engineering (2006), SeaTech, Toulon Her research focuses on the East Australian Current's influence on marine heatwaves, submesoscale eddies, and bluebottle drift dynamics. By analyzing HF radar data, Lagrangian drifters, and glider observations, she explores how ocean stratification, wind forcing, and boundary current variability shape coastal climate extremes and ecological processes. The 15 most recent publications reveal trends in marine heatwave drivers, biophysical interactions in boundary currents, and jellyfish transport mechanisms. Key keywords span physical oceanography, climate science, and marine ecology, with sub-fields like eddy dynamics, coastal upwelling, and ocean observing systems. She supervises PhD students Youstina Elzahaby (marine heatwaves), Daniel Lee (bluebottle drift), and Natacha Bourg (boundary current dispersion). Her teaching includes mathematics and statistics courses for life sciences, as well as specialized marine science topics. As leader of the BluebottleWatch project, she bridges academic research with public safety initiatives, leveraging UNSW's oceanographic expertise to address coastal hazards through interdisciplinary collaboration.

• Heat Network Optimization
• Additive Manufacturing
• Heat Exchanger Design
• +۵ مورد دیگر

Maarten Blommaert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering Technology at KU Leuven. He leads the Applied Mechanics and Energy conversion (TME) unit at the Geel Campus and heads the Subdivisie EnergyVille TME. His research focuses on numerical optimization of thermal systems, particularly district heating networks, additive manufactured heat exchangers, and plasma-facing components for nuclear fusion reactors. Assistant Professor, KU Leuven Head, Subdivisie EnergyVille TME Member, KIES Institute Member, Leuven.AM Institute Member, EnergyVille Blommaert's research explores three main areas: heat network optimization through automated design tools like PATHOPT, additive manufacturing of high-performance heat exchangers, and thermally resistant wall modules for nuclear fusion reactors. His work combines computational modeling with advanced manufacturing techniques to enhance energy efficiency and reduce carbon emissions. Scientific awards include collaborative research contributions in: Optimizing district heating networks for renewable energy integration Developing next-generation heat exchangers Advancing nuclear fusion reactor technology Blommaert actively supervises research projects in thermal-fluid systems and collaborates with institutions like VITO and EnergyVille. His research team IDEAL (Innovative Design for Energy Applications Lab) specializes in free-shape and topology optimization techniques for energy components and systems.

• Additive Manufacturing
• Materials Science
• Metallurgy
• +۲۲ مورد دیگر

Jean-Daniel Penot is a Researcher at CESI's Research and Innovation Department , with expertise in additive manufacturing, materials science, and industrial integration. His work bridges advanced manufacturing technologies with environmental sustainability and educational innovation. Doctorate in Materials Physics (2010) Engineering Degree in Physics (2007) Research Master in Optoelectronics (2007) Penot's research spans Additive Manufacturing and its applications in automotive, nuclear, and construction sectors. He focuses on Laser-Material Interaction , Machine Learning for process optimization, and Sustainable Engineering through life cycle assessments and geopolymer applications. His recent publications emphasize BIM , AM Modular Plants , and Defect Analysis in 3D-printed metals. Penot leads France Additive initiatives and contributes to International Standards as a board member. Penot supervises PhD students including Maryam Houhou and Amal Khabouchi , with a focus on Industrial Security and Energy Transitions . His projects integrate Thermal Comfort , Ultrasonic Inspection , and Quality Assurance in additive manufacturing systems.

Sajjad Fattaheian Dehkordiمشاهده پروفایل

پژوهشگر

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

Sajjad Fattaheian Dehkordi is a Postdoctoral Researcher in the Department of Electrical Engineering and Automation at Aalto University, Espoo, Finland. His research focuses on advanced energy management systems for modern power grids, with emphasis on distributed and transactive control approaches for resilient and efficient grid operations. His core research interests include: Power system resilience under high renewable penetration Microgrid and energy community optimization Distributed energy resource integration Electric vehicle-grid interaction and V2G systems Real-time congestion and ramping management Analysis of his 2022-2024 publications reveals a dominant trend toward multi-agent transactive frameworks addressing grid stability challenges. His work consistently targets voltage regulation, asymmetrical power flows, and ramping events in distribution systems, leveraging optimization techniques like MILP while incorporating flexibility concepts for renewable integration. Key innovations include distance-driven P2P/P2G transactions and incentive-based congestion management. No scientific awards are documented in the available records. Information regarding student advising, research grants, or leadership roles is not provided in current documentation.

Valentina Cecchiمشاهده پروفایل

دانشیار

• Electric power systems modeling and analysis
• Transmission and distribution system optimization
• Grid-enhancing technologies
• +۴ مورد دیگر

Valentina Cecchi is Associate Professor of Electrical and Computer Engineering and Associate Director of the same department at the University of North Carolina at Charlotte (UNC Charlotte), where she has been a faculty member since 2010. She previously served as Graduate Program Director and Associate Chair of the department from 2019 to 2024. Education background: Ph.D. in Electrical Engineering, Drexel University, Philadelphia, PA Research interests center on electric power systems modeling and analysis, with particular emphasis on optimization of transmission and distribution system planning and operation, grid-enhancing technologies, dynamic line rating of transmission lines, and the integration of renewable and distributed energy resources. Her work spans power system protection, resilience, data-driven analytics, and pedagogical innovation in power engineering education. A consistent thread in her recent publications (2023-2025) is the application of advanced analytics and machine learning to improve real-time monitoring, protection, and restoration of active distribution networks. A complementary focus is the development and evaluation of modern educational methodologies to prepare students for emerging challenges in power and energy systems. Scientific awards: William States Lee College of Engineering Graduate Teaching Excellence Award (2022) Advising & grants narrative: While specific PhD/Master’s students are not listed in the provided text, Dr. Cecchi’s service as Graduate Program Director and her active publication record with student co-authors suggest significant mentoring activity. She has led NSF-supported curriculum updates and educational research efforts, and her work on distribution system resilience, renewable integration, and protection coordination has been funded by multiple agencies and industry partners. Laboratory & teams: Dr. Cecchi is affiliated with the EPIC building (Energy Production and Infrastructure Center) at UNC Charlotte, specifically office 1224, and contributes to the university’s power and energy systems research infrastructure.

George Nakhlaمشاهده پروفایل

استاد

• Environmental Engineering
• Water and Soil Pollution Control
• Biological Wastewater Treatment
• +۶ مورد دیگر

Professor George Nakhla holds the Salamander Chair in Environmental Engineering at the Department of Chemical and Biochemical Engineering, Faculty of Engineering, Western University. With a Ph.D. from the University of Illinois at Urbana-Champaign, his career spans decades of groundbreaking research in biological wastewater treatment and bioremediation. Education: Ph.D. (University of Illinois at Urbana-Champaign, 1989), M.Sc. (University of Illinois at Urbana-Champaign, 1987), B.Sc. (University of Khartoum, 1983) His research focuses on biological nutrient removal , anaerobic digestion , and advanced oxidation processes , with recent work exploring vacuum-assisted fermentation systems, micro-aeration for sulfide control, and biochar-enabled co-digestion technologies. Collaborative projects include: Development of the first Communal Biological Nutrient Removal System in Ontario Patented fluidized bed nutrient removal processes Membrane bioreactor systems for biological nutrient removal Investigation of lignin accumulation impacts in cattle manure digesters Optimization of hydrogen production from industrial wastes Dr. Nakhla's work has expanded to include process modeling , bioreactor design , and micropollutant management , with significant contributions to understanding the interplay between operational parameters and microbial ecology in wastewater systems.

Vassilios Angelidisمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Sources
• Electrical Power Systems
• +۱ مورد دیگر

Professor Vassilios Angelidis is a distinguished academic in the field of Electrical Engineering, currently serving as a Professor at the Department of Electrical and Computer Engineering of Democritus University of Thrace. He joined the university in June 2024, bringing with him extensive international experience from prestigious institutions including the University of Glasgow, University of Sydney, University of New South Wales (UNSW), and the Technical University of Denmark. Professor Angelidis received his educational foundation with a degree in Electrical Engineering from Democritus University of Thrace, followed by a Master of Applied Science from Concordia University in Canada, and a PhD from Curtin University in Western Australia. He further enhanced his expertise with an MBA from Curtin Graduate School of Business. His research interests span Power Electronics, Renewable Energy Sources, Electrical Power Systems, and Autonomous Electricity Networks. Professor Angelidis has made significant contributions to the development of advanced power conversion techniques, grid integration of renewable energy sources, and the application of artificial intelligence in power system analysis and prediction. His work has been instrumental in advancing the field of smart grid technologies and sustainable energy systems. An analysis of his recent publications reveals a strong focus on power electronics applications in renewable energy integration, particularly in photovoltaic systems and electric vehicle charging infrastructure. His research demonstrates expertise in developing advanced algorithms for power system monitoring and control, with particular emphasis on frequency estimation, phase angle calculation, and power quality enhancement in modern grids with high penetration of distributed energy resources. Among his notable scientific achievements, Professor Angelidis has been recognized as an IEEE Fellow for his significant contributions to power electronics and the conversion and integration of renewable energy sources into power grids. He has also received the prestigious Advanced Research Fellowship for young researchers from the Engineering and Natural Sciences Council of the United Kingdom. Throughout his career, Professor Angelidis has secured research funding from various organizations across Australia, the United Kingdom, Denmark, China, India, and Malaysia, as well as industry partners with global reach. He has served on the International Councils of Beijing Jiaotong University and Universiti Tenaga Nasional (UNITEN), and currently holds the position of Vice President-elect of the IEEE Power Electronics Community. At Democritus University of Thrace, Professor Angelidis is affiliated with the Electrical Machines Laboratory within the Energy Systems Sector, where he leads research on Control and Diagnostic Methods of Electrical Machines. His current work focuses on advancing the integration of renewable energy sources into electrical power systems while maintaining grid stability and reliability.

• Environmental Geochemistry
• Sedimentology
• Geochemical Analysis
• +۴ مورد دیگر

Gordana Medunić is a Full Professor at the Department of Geology, Faculty of Science, University of Zagreb. She actively teaches courses across undergraduate, graduate, and doctoral programs, including topics in geochemical methods, environmental geology, and sediment analysis. Her research focuses on environmental geochemistry, particularly the impacts of coal mining and industrial activities on soil and water systems. Key areas include pollutant mobility, biogeochemical remediation, and trace element interactions in ecosystems. Geochemical Processes in Sedimentary Rocks Environmental Pollution Assessment Biogeochemical Remediation Techniques Rare Earth Element Distribution Recent publications highlight her work on coal sludge contamination, methane production from biomass, and selenium bioremediation. These studies employ geochemical analysis, microbial communities, and synthetic materials for environmental recovery. Her projects include collaborations on global sustainability initiatives like the Phosphorus Negotiation Game (P-Game) and fieldwork in Raša Bay, North Adriatic. She contributes to understanding long-term effects of industrial waste on ecosystems and developing remediation strategies. Teaching roles involve courses such as Geochemical Methods of Environmental Investigation and Geological Aspects of Waste Management , emphasizing practical applications in environmental protection and resource management.

• computational multiscale modeling
• digital twin development
• applied artificial intelligence
• +۷ مورد دیگر

Davood Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University. He is also a Graduate Faculty Member at the Food Science Institute and a Faculty Researcher at the Johnson Cancer Research Center. His work focuses on integrating data with first-principle models to understand complex systems across multiple scales. Ph.D. in Chemical Engineering from Pennsylvania State University (2015) M.S. in Process Simulation and Control from Sharif University of Technology (2010) B.S. in Chemical Engineering from Sharif University of Technology (2008) His research interests span computational multiscale modeling, digital twin development, applied artificial intelligence, and optimization-based control of complex process networks. Dr. Pourkargar's work integrates process systems engineering with artificial intelligence to address challenging problems in chemical, biological, energy, and food systems. He develops intelligent frameworks for controlling complex process networks, designing cyber-physical architectures for smart manufacturing, and advancing system identification using machine learning and process data analytics. A significant aspect of his research involves physics-informed machine learning applied to cancer dynamics modeling and drug distribution in the human body. Dr. Pourkargar's publication record shows a strong focus on predictive modeling and control of chemical processes, particularly ammonia synthesis systems, polysilicon reactor systems, and food extrusion processes. His recent work increasingly incorporates machine learning techniques, especially transformer architectures and physics-informed approaches, applied to both traditional chemical processes and emerging areas like organ-on-a-chip systems for drug discovery. 2024 Carl R. Ice College of Engineering Outstanding Assistant Professor Award NSF EPSCoR Research Fellowship 2023 Kansas EPSCoR First Award AFOSR Faculty Fellowship Big XII Faculty Fellowship Robert F. Smith School Distinguished Junior Researcher Award from Cornell University (2017) O. Hugo Schuck Best Paper Award (2014) Dr. Pourkargar has successfully mentored numerous graduate students through their master's and doctoral research, with several receiving departmental and college-level awards. His research has been supported by significant grants from the National Science Foundation, Kansas EPSCoR, and K-State's Global Food Systems initiative. His lab has presented extensively at major conferences including AIChE Annual Meetings and American Control Conferences. The Intelligent Systems and Process Systems Laboratory (ISPSL) led by Dr. Pourkargar operates computational and experimental facilities in Durland Hall. The lab is expanding into robotic additive manufacturing and autonomous biomanufacturing, supported by research infrastructure grants. The group maintains active collaborations with the Johnson Cancer Research Center and the Terasaki Institute for Biomedical Innovation.

• Wireless Communications
• Information Theory
• UAV Networks
• +۳ مورد دیگر

Dr. Yulin Hu serves as a Visiting Professor at RWTH Aachen University, holding the Chair of Information Theory and Data Analytics. His research program bridges theoretical foundations with practical implementations in next-generation wireless systems, with particular emphasis on UAV-aided networks and information-theoretic approaches to communication challenges. His core research interests span multiple interconnected domains: Wireless Communications (especially finite blocklength regimes) Information Theory applications in network design UAV trajectory optimization and network integration Wireless power transfer with nonlinear energy harvesting Edge computing and distributed learning systems Data analytics for network performance optimization Analysis of Dr. Hu's 2025 publication record reveals a concentrated research thrust on UAV trajectory design, where he develops joint optimization frameworks addressing energy efficiency, security, and reliability constraints. His work consistently integrates information-theoretic principles—particularly finite blocklength analysis—to solve practical challenges in ultra-reliable low-latency communications (URLLC) and wireless power transfer. A distinctive feature of his approach is the fusion of deep reinforcement learning with traditional optimization methods for dynamic network scenarios, including no-fly zone constraints and covert operations. While no specific scientific awards are documented in the available materials, his prolific output across top-tier venues demonstrates significant scholarly impact. Details regarding graduate student mentoring and research funding mechanisms remain unspecified in the current documentation. The Chair of Information Theory and Data Analytics, which Dr. Hu leads, functions as a specialized research unit focused on theoretical rigor and algorithmic innovation for wireless systems, though specific laboratory infrastructure or team composition details are not provided.

• Construction Engineering
• Discrete-Event Simulation
• Industrial Construction
• +۶ مورد دیگر

Yasser Mohamed is a Professor in the Civil and Environmental Engineering Department at the University of Alberta . His academic and professional focus revolves around construction engineering, discrete-event simulation, and process optimization for industrial and tunneling operations. He has also explored knowledge engineering techniques and the application of TRIZ (Theory of Inventive Problem Solving) to construction processes. Email: yaly@ualberta.ca Location: 7-269 Donadeo Innovation Centre For Engineering, Edmonton, AB Courses Taught: CIV E 603 (Construction Informatics), CIV E 606 (Design and Analysis of Construction Operations) His research emphasizes modeling construction processes using discrete-event simulation to optimize performance and develop synthetic environments for construction operations. Recent publications, however, indicate a shift toward power systems, focusing on DC microgrids , grid-forming converters , and renewable energy integration . Scientific Awards: None explicitly mentioned in the provided data. Advising and Grants: No formal advisees listed. A co-applicant on a CRD grant (2007–present) for synthetic environments in construction simulation.

• Sustainable Energy
• Energy Efficiency Technologies
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Xiaoli Ma is a Senior Research Fellow at the University of Hull, affiliated with the Energy and Environment Institute and the Centre for Sustainable Energy Technologies under the Faculty of Science and Engineering. Her research focuses on sustainable building services, renewable/sustainable energy systems, energy efficiency technologies, and instrumentation technologies. She has secured over £2.7 million in research funding from bodies such as the EU, EPSRC, Innovate UK, and the National Science and Technology Committee of China, leading or co-leading 26 projects. Her research interests include innovative cooling systems for data centers (e.g., super-performance dew point cooling achieving 90% energy savings), solar-driven energy systems, waste heat recovery, and thermoelectric technologies. Notable projects include the development of a novel Loop-Heat-Pipe-based data center cooling system funded by the EU FP7 and a solar façade hot water heating system supported by the EU FP7 Programme. Dr. Ma has published over 90 journal articles, two books, and three book chapters, with recent works focusing on machine learning-driven energy optimization, solar cooking systems with energy storage, and advanced heat pump technologies. She holds two patents and actively supervises PhD students in renewable energy, energy efficiency, and built environment applications. Her lab and team are part of the Energy and Environment Institute, collaborating on projects like the pioneering near-zero-carbon air conditioning system using atmospheric latent heat and natural light energy (EPSRC-funded). Key grants include a £814k EPSRC project and a £692k IEEA initiative for data center cooling advancements.

• CGE Modelling
• Climate Change Economics
• Financial Inclusion
• +۸ مورد دیگر

Athula Naranpanawa is an Associate Professor at Griffith University's Department of Accounting, Finance and Economics (part of the Griffith Business School). He specializes in computable general equilibrium (CGE) modelling, focusing on climate change adaptation, financial inclusion, and development economics. His research addresses poverty, inequality, and economic policy in regions like Sri Lanka, Bangladesh, and Africa. Education: B.Sc. in Agricultural Science (University of Peradeniya, Sri Lanka), PhD in Economics (Griffith University). Academic roles include Associate Professor (2025–present), Senior Lecturer (2015–2024), and Lecturer (2010–2014). He is a member of the Griffith Institute for Tourism and Griffith Asia Institute. Research interests span CGE modelling applications in tourism, energy economics, and regional development. Notable projects include analyzing climate change impacts on agriculture, financial inclusion's role in economic growth, and post-disaster economic recovery (e.g., Sri Lanka's tourism during the pandemic). He has supervised over 15 PhD students, focusing on topics like climate change vulnerability, financial inclusion effects, and tourism resilience. Awards include the 2011 Group Learning and Teaching Citation. Professional roles include editorial board memberships (e.g., Forecasting ) and thesis examinations. Funded projects include FAO dairy sector analysis, Queensland fuel price policy evaluation, and economic impacts of the Commonwealth Games. His work aligns with UN Sustainable Development Goals (No Poverty, Climate Action, Sustainable Consumption).