جستجوی استاد راهنمای دانشگاهی

• Antenna Design
• 5G Communications
• mmWave Technology
• +۴ مورد دیگر

Dr. Md Hasanuzzaman Sagor is a Lecturer at the School of Electronic Engineering and Computer Science , Queen Mary University of London. His research focuses on advanced antenna systems for emerging communication technologies, including transparent/flexible 5G antennas, wearable device antennas, and metamaterial-loaded RF components. Teaching: Digital Circuit Design, Microprocessor Systems Design, Networks and Protocols (all for BUPT joint programme) Research Highlights: Pioneering work in mmWave antenna design, energy harvesting rectennas, and graphene-based THz antennas Key Project: Co-PI and Head of Ground Station Design Team for BRAC Onnesha, Bangladesh's first satellite under the BIRDS project Contact: m.h.sagor@qmul.ac.uk His recent work explores material innovations in antenna design, showing a clear trajectory from wearable communication systems to education technology applications. Notably, Sagor's research team successfully deployed space-bound technology through their satellite project collaboration. Research Trends: Analysis of publications reveals sustained focus on mmWave antenna geometries (2014-2021), with recent expansion into educational technology systems (2024-2025). Key technical contributions include novel metamaterial integration methods and wearable device optimization.

• Electrical Machines
• Energy Storage Systems
• Power Electronics
• +۳ مورد دیگر

Dr. Nan Zhao serves as Senior Lecturer in Electrical Engineering at Lancaster University's School of Engineering, UK, since 2022. Previously, he held positions as Assistant Professor at University College Dublin (2018-2022) and Sessional Lecturer at McMaster University (2017-2018), where he earned his PhD in Electrical Engineering in 2017. His research spans electrical power engineering with core focus areas including energy storage systems , renewable integration (solar, wind, wave), electric machines , and EV powertrain systems . Current projects involve AI-driven ocean energy arrays and high-performance wave energy conversion systems. His publication record demonstrates deep engagement with power system stability challenges in renewable-dense grids, particularly through virtual synchronous generators and transportable storage solutions. Key editorial activities include contributions to Electronics Letters and IET Renewable Power Generation . His research group actively recruits PhD students and postdocs, with Renqi Guo currently listed as a PhD student. Primary research collaborations occur through the Energy TALOS group. Notable scientific contributions include: Hybrid synchronous condenser-virtual generator systems for microgrid stability (2025) Statistical deadband estimation for transportable energy storage (2025) Novel wave energy conversion grid integration techniques (2024) Dr. Zhao maintains active industry engagement through research on practical grid integration challenges, with recent work addressing frequency response services, curtailment reduction, and cyber-physical grid resilience. His lab focuses on translating theoretical power electronics advances into deployable renewable energy solutions.

Esber Andirogluمشاهده پروفایل

استاد

• Coastal Engineering
• Climate Resilience
• Water Reuse Systems
• +۳ مورد دیگر

Esber Andiroglu serves as a Professor of Practice in the Department of Civil, Architectural and Environmental Engineering within the University of Miami's College of Engineering. His research focuses on coastal infrastructure resilience, water resource management, and building systems optimization with direct applications to South Florida's environmental challenges. His research program spans three interconnected domains: Coastal Engineering : Investigating construction-induced subsidence using InSAR technology, multifunctional seawall design integrating ecological performance, and climate adaptation metrics for coastal structures Water Systems : Advancing water reuse frameworks, on-site wastewater treatment resilience against sea-level rise, and effluent standard development for water-scarce regions Building Energy : Pioneering virtual flow metering techniques for pumps and air-handling units, demand flexibility control, and energy feedback systems for HVAC optimization His publication record demonstrates consistent interdisciplinary output with recent high-impact work including the 2024 Earth and Space Science submission on Miami's barrier island subsidence and the 2022 Ecological Engineering review of concrete seawalls that has garnered significant attention across academic and policy spheres. Professional activities reflect strong industry engagement through development of practical measurement technologies like virtual flow meters for pump systems and AHU control strategies with demonstrable energy savings. His work bridges theoretical modeling and field validation, particularly evident in the experimental energy feedback control research that achieved demand response within 3 minutes versus conventional 25-minute systems.

Nurcin Celikمشاهده پروفایل

استاد

• Machine Learning
• Dynamic Data-Driven Applications Systems
• Smart Grids
• +۳ مورد دیگر

Nurcin Celik is a Professor in the Department of Industrial Engineering at the University of Miami's College of Engineering. Their research focuses on integrating machine learning with dynamic systems for applications in smart grids, urban air mobility, and advanced manufacturing. University of Miami, College of Engineering Industrial Engineering Department Research interests include: Dynamic Data Driven Applications Systems (DDDAS) Deep reinforcement learning for network slicing Computer vision in surgical skill assessment Resilience modeling for environmental systems Machine learning applications in energy systems Recent publications highlight: Smart grid resource allocation using deep learning Generative AI for disaster evacuation planning Microgrid optimization with particle swarm algorithms DDDAS frameworks for 5G/6G network management Contamination prediction in recycling systems No scientific awards or students information were found in the provided text.

Jan Martin Zepterمشاهده پروفایل

پژوهشگر ارشد

• Distributed Energy Resources
• Electric Vehicles
• Battery Energy Storage
• +۶ مورد دیگر

Jan Martin Zepter is a Postdoctoral Researcher at DTU's Department of Wind and Energy Systems, specializing in distributed energy resource modeling with emphasis on electric vehicle-grid integration and renewable energy systems. His work directly supports European decarbonization initiatives through projects like EV4EU and INSULAE. His academic journey includes: Ph.D. in Wind and Energy Systems, Technical University of Denmark (2019-2023) M.Sc. in Sustainable Energy Systems, Norwegian University of Science and Technology (2016-2019) Dual M.Sc. in Industrial Engineering (Electrical Engineering focus), Technical University of Berlin (2016-2019) B.Sc. in Industrial Engineering, Technical University of Berlin (2013-2017) Dr. Zepter's research bridges technical and economic domains, developing advanced models for virtual power plants , degradation-aware battery operation , and local flexibility markets . His fingerprint reveals dominant expertise in Electric Vehicle Engineering (100%), Energy Engineering (52%), and Battery Systems (46%), with growing contributions to DC Microgrids and Photovoltaics integration. He pioneers methodologies combining receding horizon optimization with real-world market constraints to enable high renewable penetration. His 15 most recent publications (2024-2025) demonstrate three critical trends: (1) Techno-economic analysis of PV-powered EV charging infrastructure, (2) Degradation-cost integration in battery market participation, and (3) Local flexibility market designs for distribution networks. These works establish novel frameworks for consumer-centric energy markets while addressing grid stability challenges through distributed resources. As an active supervisor, Dr. Zepter guides four PhD candidates—D. M. Santos (degradation-aware V2G), M. Ledro (battery-hybrid systems), A. Malkova (EV-powered plants), and X. Cao (EV management)—across European projects with combined funding exceeding €15M. His research directly contributes to UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action) through practical solutions for island energy systems and transport electrification. Based at DTU's Wind and Energy Systems department, he collaborates with industry partners on real-world demonstrations including Bornholm Island's virtual power plant and Madeira's replication initiatives, focusing on scalable solutions for renewable integration in constrained grids.

Ali Osman Arslanمشاهده پروفایل

استادیار

• Electrical Engineering
• Power Electronics
• Electromechanical Energy Conversion
• +۳ مورد دیگر

Dr. Ali Osman Arslan is an Assistant Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering. He holds a Doctorate (2021) and Master's degree (2012) from Gaziantep University, specializing in Electrical Machinery and Power Systems. University: Gaziantep University School: Faculty of Engineering Department: Electrical and Electronics Engineering Academic Rank: Assistant Professor His research focuses on advanced power conversion systems, including modular multilevel converters , hybrid inverter topologies , and adaptive control techniques for renewable energy integration and industrial applications. He has extensively studied phase-shifted PWM methods, arm inductance optimization , and submodule topologies in converter systems. Recent publications analyze comparative performances of FACTS devices and future prospects of modular converter technologies. He teaches graduate courses like Advanced Static Power Conversion and undergraduate courses covering Power Electronics and Electromechanical Energy Conversion . Scientific Awards: 2023 Most Original Design Award (Akıncılar Team) 2022 First Place & Performance Prize (Akıncılar Team) 2021 First Place Local Award (Hidden Danger R&D Team) 2021 Most Original Design Award (Toprak R&D Team) Projects: Led 2022-2023 Teknofest student support projects and contributed to electromagnetic high-speed train development (2009-2010).

Mahesh M Sمشاهده پروفایل

دانشیار

• Vibroacoustics
• Aeroelasticity
• Computational Mechanics
• +۹ مورد دیگر

Mahesh M S is an Associate Professor in the Mechanical & Aerospace Engineering department at the Indian Institute of Technology Hyderabad . He holds a Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign. Education Ph.D. (2013), University of Illinois at Urbana-Champaign M.Tech. (2004), Indian Institute of Technology Madras B.Tech. (2004), Indian Institute of Technology Madras Research Interests include Vibroacoustics , Aeroelasticity , Computational Mechanics , Aerodynamics , Aeroacoustics , and High Performance Computing . His group explores compressible multiphase flows, radar cross-section prediction, and shock wave interactions. Current Projects include Internal Ballistics (ARMREB, 2024–2027) and Hydroacoustics (NSTL, DRDO, 2024–2025). Past projects span underwater supersonic jets (DRDO, 2019–2021), cavity aeroacoustics (ADA, 2020–2021), and terminal ballistics (ARB, 2016–2018). Scientific awards : None listed. Students : Dr. Amartya Jana (Ph.D. candidate), Dubba Bhuvana Sai Charan Nath (Ph.D. scholar), Shikshit Nawani (M.Tech), Guruprasad Arya (M.Tech), Akshay Khare (M.Tech), Swapna Yalamanchili (Ph.D. scholar), Vishnu S. B. (Project Scientist), Chele Rajesh (Junior Research Fellow), Sharad Verma (M.Tech), Mangesh Dholwade (M.Tech). Contact : Room C-515, Academic Block C, IIT Hyderabad, Telangana, India. Email: mahesh@mae.iith.ac.in .

• Electrical Power Systems
• Control Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Professor Ignacio Egido Cortés is affiliated with the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University, where he serves as Director of the Department of Electrical Engineering since 2019. He teaches courses in Electrotechnology, Electrical Drives, Electrical Instrumentation, and Control of Electrical Power Systems, with over 20 years of academic experience. His research focuses on Modeling and control of electrical power systems Integration of renewable energy sources Frequency and voltage stability Energy storage applications Smart grid technologies Recent publications highlight his work in wind energy integration, AGC optimization using machine learning, and energy storage for grid stability. His research spans both theoretical and applied domains, with practical field tests and simulations. Scientific awards include Sexenio de Investigación (2016-2021) Sexenio de Investigación (2010-2015) Sexenio de Investigación (2004-2009) Certificación ACAP (2008) Professor Egido has supervised three doctoral theses and participated in over 100 research projects, with more than 30 journal and 25 conference publications. His work addresses critical challenges in renewable energy integration and grid stability.

• Power Electronics
• Electric Power Systems
• Control Systems
• +۳ مورد دیگر

Aurelio García Cerrada is a Professor at the Department of Electronics, Automation and Communications within the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University . With over 35 years of teaching experience, he has contributed extensively to power systems, particularly in power electronics and control applications. Academic Background Ph.D. in Industrial Engineering, University of Birmingham, United Kingdom (1991) Industrial Engineer, Polytechnic University of Madrid, Spain (1986) Research Focus Aurelio’s work spans power electronics applications in energy generation, transmission, and distribution, with a focus on control systems for power electronic devices in AC/DC grids. His publications highlight advancements in VSC-HVDC systems, microgrid stability, and harmonic suppression technologies. Scientific Awards and Accreditations Sexenio Campo certifications (6.2, 0, 6.2, 6.2, 6.2) for academic excellence (2015-2020, 2008-2013, 2009-2014, 1995-2000, 2001-2007) ACAP/ANECA certifications (2005, 2004) for university teaching Professional Contributions He has led 12 doctoral theses and collaborated on research projects with industry and public administrations, including Spain’s National R&D Plan. His work emphasizes practical applications of power electronics in renewable energy integration and grid resilience.

Yang Hyo-sikمشاهده پروفایل

استاد

• Smart Grid
• Communication Architecture
• IEC 61850
• +۳ مورد دیگر

Professor Yang Hyo-sik is a Full Professor in the Department of Computer Engineering at Sejong University, Seoul, Korea, where he has been employed since September 2006. His research spans electrical engineering and computer science with a focus on smart grid technologies and communication systems. Professor Yang received his B.E. in information and communication engineering from Myongji University in 1998, followed by M.S. and Ph.D. degrees in electrical engineering from Arizona State University in 2000 and 2005, respectively. Prior to joining Sejong University, he served as an Assistant Professor at Kyungnam University and as a Faculty Research Associate at Arizona State University. His primary research interests include smart grid technologies, particularly focusing on IEC 61850 communication architecture, wavelength-division multiplexing all-optical networks, mobile ad-hoc networks, and smart city applications. He is an active member of IEC TC 57 WG10 and IEC SyC Smart City and Smart Energy, contributing to international standardization efforts. Professor Yang's recent publications (2020-2024) demonstrate a strong focus on smart grid communication, energy management systems, and security protocols. His work shows a consistent trajectory toward integrating artificial intelligence techniques with traditional power systems, particularly in areas like demand response forecasting, energy storage control, and transformer fault diagnosis. Professor Yang leads the Next Generation Network Lab at Sejong University, where he mentors graduate students and conducts research on advanced networking and smart grid technologies. His teaching responsibilities include Computer Network, Master's Thesis Research, and Doctoral Dissertation Research at both undergraduate and graduate levels.

Saeid Bashashمشاهده پروفایل

دانشیار

• Control Systems
• Energy Management
• Mechatronics
• +۴ مورد دیگر

Dr. Saeid Bashash is an Associate Professor in the Department of Mechanical Engineering at San José State University's Charles Davidson College of Engineering. He holds a Ph.D. in Mechanical Engineering from Clemson University (2008), with previous positions including Assistant Professor at SJSU (2015-2021), Senior Engineer at HGST (2013-2015), and postdoctoral fellowships at Pennsylvania State University and University of Michigan. His research focuses on the modeling, optimization, and control of advanced dynamical systems with applications in: Precision motion control at micro/nano scales Energy management in buildings, electric vehicles, and smart grids Battery systems modeling and health-conscious charging Mechatronics and vibration control systems Publication analysis reveals strong emphasis on control theory applications in energy systems (67% of recent works), mechatronics (20%), and battery technology (13%), with evolving focus toward smart grid optimization and data-driven methods since 2017.

• Distributed parameter systems
• Repetitive control
• Internal model based control
• +۱۳ مورد دیگر

Professor George Weiss is a Professor of Control Engineering at the Department of Electrical Engineering - Systems, Faculty of Engineering, Tel Aviv University. He has been at Tel Aviv University since October 2007, following previous appointments at Imperial College London (1998-2007), Exeter University (1996-1998), Ben-Gurion University (1991-1996), and The Weizmann Institute (1991-1992). His research bridges theoretical foundations of control systems with practical applications in renewable energy integration and power electronics. Professor Weiss earned his PhD in Applied Mathematics from The Weizmann Institute of Science in Israel in 1989 and his MEng in Control and Computer Engineering from the Polytechnic Institute of Bucharest in 1981. His academic journey includes postdoctoral positions at Virginia Tech (1989-1991) and Brown University (1988-1989). His research focuses on distributed parameter systems, repetitive control, internal model based control, passive and conservative systems, control in power electronics, and grid integration of renewable energy. He is renowned for developing the concept of "synchronverters" with Qing-Chang Zhong, enabling grid integration of large renewable energy generators. His work spans theoretical mathematical control and practical industrial applications, with significant contributions to wave energy conversion and wind turbine vibration suppression. Analysis of his recent publications reveals a strong emphasis on renewable energy applications, particularly wind and wave energy systems, alongside fundamental theoretical work on well-posed systems and distributed parameter control. His research integrates mathematical rigor with practical engineering solutions for energy conversion systems. Professor Weiss has received substantial research funding including a 4M Euro "ConFlex" grant from the European Commission (as PI) and multiple grants from the Israel Science Foundation. His work has been supported by EPSRC, the Royal Society, and industry partners including MST, Coriolis, Solar Edge, Bioness, and Synvertec. He has supervised numerous PhD students who have gone on to prominent academic positions worldwide and serves as academic responsible for the Control Teaching Laboratory. His consulting work demonstrates the practical impact of his research across the renewable energy sector.

Roberto Sacileمشاهده پروفایل

استاد

• Control Systems
• System of Systems
• Optimization
• +۴ مورد دیگر

Roberto Sacile is a Full Professor at the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) within the Polytechnic School of the University of Genoa, Italy. He serves as a member of the Board of Directors for the Italian Center of Excellence for Logistics, Transport, and Infrastructure (CIELI) and teaches graduate courses including Advanced Control Systems, System of Systems Optimization and Control, and Industrial Automation for Computer Engineering programs. His research integrates Control Systems and System of Systems methodologies across diverse domains including Smart Agriculture, Smart Grids, and Transportation Logistics. Key technical approaches involve Model Predictive Control (MPC), Digital Twins, Neural Networks, and distributed optimization algorithms to address challenges in sustainable greenhouse management, dangerous goods transportation risk assessment, port terminal operations, and power grid regulation. His work emphasizes real-world industrial applications and interdisciplinary system integration. Recent publications (2024-2025) reveal a strong focus on applying advanced control techniques to complex infrastructure systems. Dominant themes include MPC implementation for agricultural and energy systems, GIS-based spatial risk modeling for transportation, neural network applications in logistics prediction, and distributed control for multi-unit industrial processes. The research demonstrates consistent cross-disciplinary collaboration with engineers, environmental scientists, and logistics specialists. No scientific awards were mentioned in the provided text. The provided information does not list any PhD or Master's students advised by Professor Sacile. While specific research grants are not detailed, his leadership role at CIELI indicates involvement in collaborative infrastructure research projects funded through this national center of excellence. Professor Sacile operates within DIBRIS at the University of Genoa and contributes to the Italian Center of Excellence for Logistics, Transport, and Infrastructure (CIELI). His research group focuses on system-of-systems architectures, with demonstrated expertise in industrial control applications spanning agricultural, energy, transportation, and environmental domains through multi-institutional collaborations.

Nathan Weiseمشاهده پروفایل

دانشیار

• Power Electronics
• Power and Energy Conversion
• Electric Drives
• +۷ مورد دیگر

Nathan Weise serves as an Associate Professor in the Electrical and Computer Engineering Department within Marquette University's Opus College of Engineering. He established the Electric Machines and Power Electronics at Marquette (EMPOWER) laboratory in 2014, developing it into a world-class research facility. His academic journey includes a Ph.D. (2011), M.S. (2007), and B.S. (2005) in Electrical/Computer Engineering from the University of Minnesota. Dr. Weise specializes in power electronics with research spanning Power and Energy Conversion , Electric Drives , Vehicular Power Systems , and Control of Renewable Energy Sources . His work focuses on high-power-density GaN-based systems for electric aircraft, ultra-fast EV charging infrastructure, and DC circuit breakers. He has secured two highly competitive U.S. Department of Energy ARPA-E grants addressing critical energy challenges. His publication portfolio reveals strong emphasis on GaN semiconductor applications , thermal management systems , and advanced control algorithms for multilevel converters. Recent work shows progression toward aerospace electrification and ultra-high-power systems, with 2025 publications indicating cutting-edge research in electric aircraft propulsion. Way Klingler Young Scholar Award (2020-2021) Marquette Teacher of the Year (2019) IEEE Eta Kappa Nu Beta Omicron Chapter Award Dr. Weise has developed industry-critical courses in digital control of renewable energy, power electronics, and hands-on lab experiences. His future research plans include establishing a world-leading power electronics lab, creating a medium-voltage facility, and authoring the textbook Digital Control of Power Electronics with accompanying lab materials.

Daniel Kuhnمشاهده پروفایل

استاد

• Data-driven Optimization
• Stochastic Programming
• Robust Optimization
• +۳ مورد دیگر

Daniel Kuhn is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), where he holds the Chair of Risk Analytics and Optimization in the College of Management of Technology. His research focuses on developing computational methods for data-driven decision-making under uncertainty, with applications in engineered systems, machine learning, and finance. Previously, he held positions at Imperial College London and Stanford University. Education includes: PhD in Economics, University of St. Gallen MSc in Theoretical Physics, ETH Zurich Research interests span data-driven optimization , stochastic programming , and robust decision-making frameworks . His work develops computationally tractable methods for uncertainty quantification in complex systems, bridging operations research with statistical learning. Current investigations focus on distributionally robust optimization using Wasserstein metrics and applications in energy markets and fair machine learning. Publication analysis reveals three primary trends: 1) Fundamental advances in distributionally robust optimization theory, 2) Machine learning applications with uncertainty guarantees, and 3) Energy system optimization under regulatory constraints. His methodological work consistently emphasizes computational tractability and practical applicability. As lab director of the Risk Analytics and Optimization group, he leads research on: Stochastic control systems Data-driven decision frameworks Robust machine learning Current PhD students include researchers working on federated learning fairness, optimal power flow, and reinforcement learning theory. Past graduates have made significant contributions to Wasserstein distributionally robust optimization and vehicle-to-grid frequency regulation.