جستجوی استاد راهنمای دانشگاهی

• Wireless Sensor Networks
• Computer Networks
• Data Security
• +۳ مورد دیگر

Maciej Gębala is affiliated with the Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology, where he holds a position in the Department of Computer Science Fundamentals . His research focuses on wireless sensor networks, ad hoc networks, data security, and energy-efficient communication systems. He has contributed to projects such as the POIG-funded monograph on measurement data acquisition and storage, and has edited conference proceedings like ADHOC-NOW 2013. His work spans technical areas including fault-tolerant protocols, GDPR-compliant reputation systems, broadcast scheduling, and algorithm design for routing and data protection. He has published extensively in international conferences and journals, addressing challenges in network optimization, energy consumption, and image reconstruction from projections. Dr. Gębala's expertise also extends to radio communication management and network topology planning, with contributions to UTRAN systems and 3D reconstruction algorithms for polyominoes. No specific grants or awards are listed in the provided information.

Michael Carbajales-Daleمشاهده پروفایل

دانشیار

• Energy Systems Analysis
• Sustainability
• Renewable Energy Transition
• +۳ مورد دیگر

Michael Carbajales-Dale is an Associate Professor in the Environmental Engineering & Earth Sciences department at Clemson University, leading the Energy-Economy-Environment (E3) Systems Analysis group. His research focuses on energy systems, sustainability, and the transition from fossil fuels to renewables. He has secured over $30M in grants and published over 60 articles with an h-index of 31. He holds a Ph.D. in Mechanical Engineering from the University of Canterbury and an M.S. in Physics & Philosophy from the University of Bristol. Education: Ph.D., Mechanical Engineering, 2011, University of Canterbury, New Zealand M.S., Physics & Philosophy (First Class Honors), 2006, University of Bristol, UK Research Interests: Energy-Economy-Environment interactions Renewable energy transitions Life cycle assessment and net energy analysis Sustainable development and policy Publications: His work spans energy systems modeling, decarbonization strategies, and sustainability metrics. Recent trends include studies on solar energy viability, electric vehicles' environmental impacts, and hybrid energy systems in developing regions. Awards: 2014–2015: Institute of Integrated Economic Research 2007–2010: Keith Laugesen Scholarship 2007–2010: International Doctoral Scholarship Grants & Advising: Over $30M in grants as PI/Co-PI. Advises graduate students in environmental systems analysis and energy policy. Active in lab-based research on energy modeling and sustainability tools. Labs & Teams: Heads the E3 Systems Analysis group, collaborating on interdisciplinary projects in energy, environment, and economic systems.

• Computational Fluid Dynamics
• Turbulence Modeling
• Wind Energy Systems
• +۳ مورد دیگر

Zhiyin Yang is a Professor of Aerospace Engineering at the University of Derby, affiliated with the College of Science and Engineering. His research focuses on computational fluid dynamics (CFD), turbulence modeling, wind energy systems, and machine learning applications in engineering. He has extensive experience in simulating complex fluid flows, combustion processes, and renewable energy systems. His research interests include: Computational Fluid Dynamics (CFD), Turbulence Modeling, Wind Energy Systems, Aerospace Engineering, Machine Learning in Engineering, and Combustion Optimization. Recent work emphasizes AI-driven optimization of combustion engines, CFD analysis of wind turbines, and droplet dynamics on surfaces. Publications span 2025–2002, with notable contributions in Physics of Fluids , Energy and Fuels , and Journal of Applied and Computational Mechanics . Key themes include shock-wave interactions, turbine loading dynamics, and drag reduction strategies for vehicles.

Geetika Aggarwalمشاهده پروفایل

مدرس

• IoT
• Optical Wireless Communication
• VLSI
• +۸ مورد دیگر

Dr. Geetika Aggarwal is a Lecturer in Instrumentation and Control Engineering at the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University. Her academic journey includes completing a PhD in Electronics and Communication Engineering at Northumbria University (2015-2019), followed by post-doctoral research at Nottingham Trent University on the EU H2020 ComfDemo project. She holds Fellow of the Higher Education Academy (FHEA) and is actively involved with professional bodies like IEEE and IET. Her research focuses on interdisciplinary areas including IoT, Optical Wireless Communication, VLSI, AI, and Sustainable Smart City technologies. She has led initiatives like the 'Digital Technologies for Energy Efficient Manufacturing' session at IEEE ICAC 2024 and co-edits special journal issues on topics like 6G Optical IoT and Prosthetics Control Systems. Editorial Roles: Guest Editor for 3 special issues on smart systems and biomedical technologies Professional Activities: Technical Program Committee member for 5+ international conferences Awards: 2024/2025 Star Awards nominee for teaching excellence, 2019 Outstanding Staff Member Her recent projects include adaptive control systems for edge devices and energy-efficient semiconductor designs. She is actively supervising self-funded PhD students in aligned research areas.

Bijan Jabbariمشاهده پروفایل

استاد

• Wireless Networks
• 5G and LTE Systems
• IoT
• +۵ مورد دیگر

Bijan Jabbari is a Professor in the Department of Electrical and Computer Engineering at George Mason University, affiliated with the Volgenau School of Engineering. He holds a PhD from Stanford University and has dual MS degrees in Electrical Engineering and Engineering Economics from Stanford, along with a BS from Arya-Mehr University. His research focuses on wireless networks, IoT, machine learning applications in networking, and cognitive networks. Notable contributions include work on LTE/5G systems, edge computing, and spectrum management. He has led projects funded by the National Science Foundation, Naval Research Laboratory, and KDDI Corporation. Jabbari is a Fellow of IEEE and IET, recipient of the IEEE Third Millennium Medal, and has pioneered initiatives like the Heart’s Delight charity event. Jabbari teaches graduate courses including ECE 528 (Random Processes), ECE 642 (Computer Network Design), and ECE 629 (Wireless Networks). He directs the Communications and Networks Laboratory and collaborates with Telecom ParisTech. His work emphasizes resilient network design, cross-layer protocols, and machine learning-driven optimization in telecommunications. Research Grants: Secure MAC Layer Protocols (NRL, 2016–2018) Cross-Layer Resilient Networking (NRL, 2012–2015) Network Virtualization (KDDI, 2010) Awards: Washington DC Engineer of the Year Award GMU Outstanding Faculty Research Award Labs/Teams: Communications and Networks Lab (CNL) at GMU Collaborations: Telecom ParisTech (France)

• Data Center Efficiency
• Sustainable Computing
• Network Infrastructure
• +۱ مورد دیگر

Umaima Haider is a Senior Lecturer at the University of East London's Department of Architecture, Computing & Engineering. Her research focuses on sustainable data center operations, particularly energy-efficient cooling systems, network infrastructure optimization, and renewable energy adoption in computing environments. Recent publications demonstrate strong emphasis on reducing energy consumption in data centers through innovative cooling techniques, network hardware refresh models, and port consolidation strategies for improved efficiency.

Mohammad Atiqul Islamمشاهده پروفایل

استادیار

• Cloud Computing
• Data Center Efficiency
• Cybersecurity
• +۳ مورد دیگر

Mohammad Atiqul Islam is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. His research spans cloud computing, data center efficiency, cybersecurity, and sustainable computing. He directs projects funded by NSF including developing ultra-low-cost server-level power monitoring using electromagnetic interference analysis. Current research focuses on water sustainability in data centers and voltage-based monitoring of distributed energy resources. His team investigates thermal/voltage side-channel attacks in multi-tenant data centers and develops market-based resource allocation frameworks for HPC systems. Recognized with the ACM E-Energy Best Notes Paper Award (2024), he serves on program committees for top security and systems conferences. Server-Level Power Monitoring (NSF ECCS-2152357) Water Management for Sustainable Data Centers (NSF CCF-2310001) He teaches courses in Data Center Design, Sustainable Computing, and Computer Security.

Ahmad Issam Hamad Abdel Hadiمشاهده پروفایل

دانشگاهی

• Hydro Power
• Energy Auditing
• Heat Transfer
• +۴ مورد دیگر

Dr. Ahmad Issam Hamad Abdel Hadi is a Research Associate in the Department of Mechanical Engineering and Assistant Director of the Hydro Turbine/Industrial Assessment Center at the University of Wisconsin-Milwaukee (UWM). He holds a PhD in Mechanical Engineering from UWM (2023) and a BS from Al-Balqa' Applied University (2013). His research focuses on hydro power systems, energy auditing, heat transfer optimization, fluid mechanics, and solar energy applications, particularly in wastewater treatment and industrial systems. His work emphasizes sustainable energy solutions for industrial processes, including energy recovery from wastewater treatment aeration basins and photovoltaic integration. He has received prestigious awards from the U.S. Department of Energy for innovative research in applied energy engineering. Abdel Hadi also brings five years of industrial experience in HVAC systems and water management, complementing his academic research activities. Abdel Hadi's recent publications explore micro-hydro turbine optimization, net-zero energy models for wastewater plants, and energy-saving strategies across industries. His research bridges theoretical advancements with practical industrial applications, contributing to both academic knowledge and real-world sustainability solutions. Award-winning projects include energy reclamation systems in wastewater treatment and photovoltaic covers for treatment plants Active member of AEE, AIAA, ASHRAE, and AAAEA professional organizations

Mohammad Qandilمشاهده پروفایل

پژوهشگر

• Renewable Energy Technologies
• Energy Efficiency
• Decarbonization
• +۴ مورد دیگر

Dr. Mohammad Qandil is a Researcher and Assistant Director of the Industrial Assessment Center (IAC) at the University of Wisconsin-Milwaukee (UWM), funded by the U.S. Department of Energy to promote energy efficiency and sustainable manufacturing. He holds a PhD in Mechanical Engineering from UWM, where his dissertation focused on optimizing water turbine efficiency by minimizing air pocket formation. Dr. Qandil is also a Senior Energy Engineer at Tetra Tech and has prior experience in HVAC engineering roles with PETRA Engineering and Therma-Stor. His research interests include renewable energy technologies, energy efficiency, decarbonization, and polymer composites. Dr. Qandil's education includes a PhD in Mechanical Engineering from UWM (dissertation: water turbine efficiency), an MSc in Mechanical Engineering/Energy Systems from Hashemite University (Jordan), and a BSc in Mechanical Engineering from Al-Balqa' Applied University (Jordan). His research focuses on optimizing renewable energy systems, hydro-turbine performance, and energy sustainability in wastewater treatment plants. Notable projects include vascular self-healing wind turbine blades using nanocomposites and net-zero energy models for WWTPs. He actively contributes to energy audits for industries through the IAC and holds certifications as a Certified Energy Manager and Certified Measurement & Verification Professional. Professional involvement includes membership in ASHRAE, the Association of Energy Engineers (AEE), and the Arab American Association of Engineers and Architects (AAAEA).

Marie Münsterمشاهده پروفایل

استاد

• Energy System Modeling
• Renewable Energy Technologies
• Climate Policy
• +۳ مورد دیگر

Marie Münster is a Professor in Energy System Analysis at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics. She holds a M.Sc. in Energy Planning (Aalborg University, 2000) and a PhD in Energy System Analysis (Aalborg University/Risø DTU, 2009). Her research focuses on energy system modeling, renewable energy integration, sector coupling, and green fuels, particularly Power-to-X (PtX) technologies. She leads projects on hydrogen infrastructure, energy policy, and decarbonization strategies, contributing to initiatives like the Danish Climate Council and the ElForsk Advisory Board. Her work spans Energy system modeling frameworks (e.g., Balmorel, EnergyPLAN, STREAM), Climate policy analysis, Maritime and industrial decarbonization, Renewable energy integration, Waste-to-energy strategies. Recent articles emphasize Hydrogen infrastructure planning, Soft-linking energy system models, Shipping sector decarbonization, EU energy transition pathways. She advises PhD students on projects like Environmental sustainability of the green transition, Renewable fuel value chains, Sector coupling modeling. Labs/Teams: Involved in DTU Wind and Energy Systems, Balmorel model development, and interdisciplinary initiatives like the FutureGas project.

Gregory Rorrerمشاهده پروفایل

استاد

• Biofuels
• Carbon Sequestration
• Pharmaceutical Biosynthesis
• +۴ مورد دیگر

Gregory Rorrer is a Professor in the Department of Chemical, Biological, and Environmental Engineering at Oregon State University's College of Engineering. His research focuses on engineered systems for photosynthetic organisms, targeting sustainable applications in bioenergy, carbon management, and nanotechnology. Dr. Rorrer earned his B.S. in Chemical Engineering from the University of Michigan, Ann Arbor (1983) and Ph.D. in Chemical Engineering from Michigan State University (1989). His research program centers on marine biotechnology, specifically cultivating diatoms and macroalgae for biofuel production, ocean-based carbon sequestration, pharmaceutical biosynthesis, environmental remediation, and biofabrication of nanostructured materials. The Rorrer Lab pioneers techniques for high-density algal growth and exploits diatom biosilica's unique optical properties for advanced sensing applications, bridging environmental engineering with nanotechnology to address global sustainability challenges. Analysis of his recent publications reveals a strategic convergence of marine algae cultivation with carbon capture technologies and diatom-based nanomaterial innovation. His work demonstrates increasing integration of photobioreactor engineering with molecular-scale biosilica modification, particularly for biosensors capable of single-molecule detection in environmental and biomedical contexts. Dr. Rorrer's scientific contributions have been recognized through significant honors: U.S. Department of State Fulbright Scholar, Austria (2022) Program Director, U.S. National Science Foundation (2014-2016) OSU College of Engineering Research Award (2006) Loyd Carter Award for Outstanding and Inspirational Teaching (1993) As principal investigator of the NSF EFRI-PSBR grant 'The Diatom-based Photosynthetic Biorefinery,' he directs major research initiatives advancing algal biotechnology. His textbook 'Fundamentals of Momentum, Heat and Mass Transfer' remains a cornerstone engineering education resource, reflecting his dual commitment to research excellence and pedagogical innovation. The Rorrer Lab maintains specialized photobioreactor facilities for marine microalgae and macroalgae cultivation, featuring raceway ponds, tumble tanks, and advanced monitoring systems. Current projects focus on optimizing carbon sequestration in seaweed farms and developing commercializable diatom-based biosensors for explosives detection and cardiovascular biomarker screening.

Annunziata D'Aversaمشاهده پروفایل

پژوهشگر ارشد

• Time Series Forecasting
• Nowcasting
• Big Data Analytics
• +۱ مورد دیگر

Annunziata D'Aversa is a Research Fellow and PhD student in the Department of Computer Science at the University of Bari Aldo Moro, specializing in energy sector forecasting models. Her work focuses on developing incremental update methodologies for time-sensitive data streams in electricity networks and renewable energy systems. She earned her Master's degree in Data Science from the University of Bari Aldo Moro in July 2021 with full marks and honors, completing a thesis on spatial autocorrelation modeling for energy consumer forecasting in electricity networks. Her research interests include Time Series Forecasting, Nowcasting, Big Data Analytics, and Neural Networks, with emphasis on spatial-temporal pattern recognition for energy applications. She develops adaptive models that process real-time data streams for grid management and wind power optimization. Her 2022-2024 publications demonstrate consistent innovation in spatio-temporal modeling, applying model trees and linear architectures to multi-step forecasting challenges across smart grids and wind power plants. Key contributions include spatially-aware nowcasting techniques and autocorrelation leverage for consumption prediction.

Andy Simoneauمشاهده پروفایل

دانشیار

• Manufacturing Processes
• Materials Science
• Finite Element Modeling
• +۴ مورد دیگر

Andy Simoneau is an Associate Professor in the Department of Mechanical Engineering at the University of New Brunswick. His research focuses on analytical modeling of metal cutting processes, microstructural effects during plastic deformation, and energy efficiency in manufacturing systems. He holds a PhD in Mechanical Engineering and is based in the Fredericton campus. Dr. Simoneau's research interests include: Finite Element modeling of material processing High strain rate material behavior analysis Integration of advanced sensors into manufacturing systems Energy management in CNC machining Analysis of heterogeneous materials (metals/composites) His publications span topics like microstructure effects in cutting processes, energy consumption modeling in CNC endmilling, and development of manufacturing monitoring systems. Recent work includes investigations into tool breakout phenomena and creep analysis of rotating steel disks. He has maintained a consistent research trajectory since the 1990s, with notable contributions to manufacturing standardization through the development of neutral manufacturing languages for system interoperability.

Gabriel A. Wainerمشاهده پروفایل

استاد

• Discrete-Event Modeling and Simulation
• Real-Time Systems
• Cellular Models
• +۴ مورد دیگر

Professor Gabriel A. Wainer holds a Ph.D. from the Universidad de Buenos Aires and is a Full Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. His research focuses on Discrete-Event Modeling and Simulation (DEVS), Real-Time Systems, and Parallel/Distributed Simulation. He leads the Advanced Real-Time Simulation (ARS) Lab at Carleton's V-Sim Centre, collaborating with industry partners like Ericsson Canada on projects such as channel reconstruction for wireless networks and AI-driven spectrum sharing. Wainer is a Fellow of the Society for Modeling and Simulation International (SCS) and an ACM Distinguished Speaker, with over 450 publications and significant grant funding. He has mentored numerous students and researchers, contributing to Carleton's academic and research excellence. Education: Ph.D. (Computer Science, Universidad de Buenos Aires, 1998), M.C.S. (Universidad de Buenos Aires, 1993). He has held visiting roles at institutions worldwide, including INRIA and the University of Nice. Research interests include DEVS formalism, cellular models, and real-time operating systems. His work bridges theory and application, addressing challenges in embedded systems, IoT, and pandemic modeling. Awards include the McLeod Founder Award (2022), SCS Outstanding Professional Achievement (2020), and IEEE Outstanding Engineering Award (2019). Labs/Teams: Advanced Real-Time Simulation Lab (ARS), part of Carleton's V-Sim Centre. Grants: Over $4.3M as PI and $1.2M as co-applicant, totaling $30M+ in collaborative funding. Advising: Supervised 12 postdocs, 19 PhDs, 16 RAs, 71 MSc students, and 150+ undergrads since 1997.

• Economics of Networks
• Monetary and Fiscal Policy
• Economic Fluctuations
• +۳ مورد دیگر

Christian Ghiglino is a Professor of Economics at the University of Essex, serving as Head of the Department of Economics since 2019 and founding director of the Centre for Social and Economic Network Analysis (SENA). He holds a PhD in Economics from the University of Geneva (1993) and a PhD in Particle Physics from CERN (1988). His research focuses on economic theory, networks, and growth, exploring topics like wealth inequality, fiscal policy, and innovation dynamics. He has supervised numerous PhD students and contributes to academic leadership as an Associate Editor of the International Journal of Economic Theory and former Associate Editor of the Journal of Economic Theory . Key research interests include the role of social networks in shaping economic outcomes, the interplay between inequality and macroeconomic stability, and the evolution of institutional frameworks. His work bridges classical themes (e.g., communication, innovation) with modern network analysis, addressing questions of economic development and policy design. Notable contributions include studies on knowledge-based structural change, strategic information transmission networks, and the dynamics of social identity. Ghiglino’s publications span top journals like the Journal of Economic Theory and American Economic Journal: Macroeconomics , reflecting his interdisciplinary approach to economic challenges. He has advised over a dozen PhD students, many of whom have contributed to topics such as fiscal policy in oil economies, innovation-driven growth, and structural change. His research also extends to monogamy institutions and optimal taxation under budget constraints, showcasing a broad intellectual reach.