جست‌وجوی استاد و پژوهشگر

• Smart Grids
• Distributed Energy Systems
• Power System Protection
• +۵ مورد دیگر

Tsunayoshi Ishii serves as a Researcher (Assistant Professor) at the Advanced Collaborative Research Organization for SmartSociety under the Affiliation Research Council. His work focuses on next-generation energy systems with emphasis on distributed control architectures and grid integration challenges. Research interests span Smart Grids , Distributed Energy Systems , and Power System Protection . His foundational work established hierarchical decentralized control frameworks for super-distributed energy systems, evolving into current research on renewable integration, electric transportation, and advanced energy management systems. Key contributions include lightning surge analysis for residential solar systems and optimization methods for electric bus charging infrastructure. His publication portfolio demonstrates consistent focus on practical grid applications, with recent work addressing battery storage placement, multi-objective EMS design, and congestion mitigation in distribution networks. The 15 most recent publications reveal strong trends toward decarbonization technologies and real-time control solutions for high renewable penetration scenarios. 2010 Excellent Paper Presentation Award at Electrical Society Power and Energy Division Conference 2004 Academic Promotion Prize Paper Award (Electrical Society) 2004 Kodaira Memorial Hitachi Educational Foundation Award 2002 Excellent Paper Presentation Award at Electrical Society Power and Energy Division Research Meeting Ishii maintains active professional engagement through committee memberships including CIGRE SC C6 (2023-present), IEC TC57 domestic committee (2018-2020), and multiple lightning protection research committees. His research bridges theoretical control frameworks with practical grid implementation challenges, particularly in distribution system resilience and DER integration.

• Water Resources Engineering
• Climate Change Impacts
• Rainfall Forecasting
• +۵ مورد دیگر

Dr. Iqbal Hossain serves as a Lecturer at Swinburne University of Technology's School of Engineering in Melbourne, Australia, where he also acts as Course Director for the Graduate Certificate in Infrastructure Engineering Management. Additionally, he works as a Water Resources Consultant at KF Engineering Pty Ltd., Melbourne, bringing practical industry experience to his academic role. As a member of both The Institute of Engineers Australia and the Institute of Engineers Bangladesh, Dr. Hossain maintains strong professional connections across international engineering communities. Dr. Hossain's research spans water resources engineering with particular focus on climate change impacts, rainfall forecasting, water quality modeling, and sustainable water management. His work addresses critical challenges in urban stormwater management, including constructed wetland performance, heavy metal contamination assessment, and climate-resilient infrastructure design. He has developed innovative approaches for rainfall disaggregation, water footprint assessment, and arsenic removal techniques, demonstrating both theoretical rigor and practical application. His publication record shows a consistent trend toward integrating advanced modeling techniques with traditional hydrological approaches. Recent articles demonstrate increasing use of artificial neural networks alongside conventional models, reflecting a broader shift toward machine learning applications in water resources. His work consistently addresses climate change impacts across various water resource domains, from rainfall patterns to bushfire effects on water supply reliability. Dr. Hossain actively supervises HDR students across diverse topics including microplastics exposure, construction management with data science, building energy efficiency, and streamflow prediction. His supervision portfolio reflects his commitment to developing the next generation of water resources professionals who can address complex, interdisciplinary challenges. His research directly contributes to UN Sustainable Development Goals 13 (Climate Action) and 6 (Clean Water and Sanitation), demonstrating his commitment to addressing global water challenges through both academic research and practical consulting work. His dual academic-industry role provides valuable real-world context to his teaching and research activities.

• Secure Energy Informatics
• Internet of Things
• Blockchain Technology
• +۴ مورد دیگر

Andreas Unterweger is a Senior Lecturer and Head of the Department of Networking & Cyber Security at the Center for Secure Energy Informatics. He leads research initiatives focused on integrating digital technologies with energy systems, including IoT, blockchain, and data privacy solutions for smart grids. Research Interests: His work spans secure energy informatics, privacy-preserving technologies for renewable energy communities, IoT-enabled energy services, and machine learning applications for industrial and socio-demographic energy data analysis. Key domains include smart meter analytics, electric vehicle ecosystems, and blockchain-based prosumer networks. Awards: Christian-Doppler Award for contributions to natural sciences (2019) Science Award (2015) Projects & Leadership: He directs the Center for Secure Energy Informatics and manages projects like: Digital Energy Twin (2019–2023): Developing real-time industrial energy management systems. ProChain (2018–2019): Blockchain integration for prosumer energy networks. WhichWay (2022–2023): IoT middleware for energy services.

• Transport Engineering
• Traffic modelling
• Microscopic simulation
• +۷ مورد دیگر

Dr. Tuo Mao serves as a Research Fellow at the Data Science Institute within the Faculty of Engineering and Information Technology at University of Technology Sydney (UTS). He also holds visiting scientist status at the Intelligent Mobility group at Data61 CSIRO. With a PhD from University of New South Wales (UNSW), Dr. Mao has established himself as a senior engineer specializing in transportation systems research. Dr. Mao's research interests span Transport Engineering with particular expertise in traffic modelling, microscopic simulation, and traffic signal control and management. His work focuses on vehicle infrastructure integration (VII) systems within intelligent transport systems (ITS), with specific applications in motorway modelling, coordinated ramp metering optimization, and V2I communication wireless connection system modelling. He has developed significant expertise in applying genetic algorithms to traffic signal control plan optimization and specializes in machine learning applications, particularly reinforcement learning, for transportation challenges. His recent publications (2023-2025) demonstrate a clear progression toward AI-driven transportation solutions, with emphasis on digital twins for passenger flow prediction, connected vehicle data analysis for railway safety, and micro-mobility pattern analysis. These works reveal consistent application of machine learning techniques to both recurrent and non-recurrent traffic conditions, with practical implementations across Australian transportation networks. EV Charging as a Service (2024-2026) - Australian Renewable Energy Agency UTS Smart Campus for energy saving (2022-2023) - UTS Central Research Budget V2X freight and emergency vehicle priority trial (2021-2022) - iMOVE CRC Safety and risk evaluation of Train Level Crossings (2021) - Transport for NSW Ai-RAP Automation for Australian Road Safety (2020-2022) - iMOVE CRC Dr. Mao actively contributes to the Future Mobility Lab at UTS, where his team develops integrated approaches to transportation challenges through collaboration with government agencies including Transport for NSW and research consortia like iMOVE CRC. His work bridges theoretical optimization methods with practical transportation solutions across Australian contexts, with particular focus on Sydney's transportation infrastructure.

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۵ مورد دیگر

Alfredo Alcayde García is an Associate Professor in the Engineering Department at the University of Almería, Spain. With an h-index of 21 (Scopus) and 18 (Web of Science), he has established himself as a significant contributor to electrical engineering research, particularly in power systems analysis and renewable energy integration. His academic profile includes directing multiple doctoral theses and leading several research projects with substantial funding from national and international sources. Professor Alcayde García's research primarily focuses on electrical engineering with specialization in power systems under non-sinusoidal conditions, renewable energy integration, and energy efficiency optimization. His work bridges theoretical developments in geometric algebra applications for power theory with practical implementations in smart grid technologies and non-intrusive load monitoring. Recent research directions have expanded to include environmental applications, particularly examining microplastic pollution in agricultural contexts related to energy systems. Analysis of his recent publications (2023-2025) reveals a strong trend toward interdisciplinary research that combines electrical engineering with environmental science and data analytics. His work spans high-impact journals across multiple disciplines, demonstrating both depth in his core field and breadth through successful cross-disciplinary collaborations. The research shows consistent methodological rigor with increasing emphasis on practical applications and real-world implementation of theoretical concepts. Professor Alcayde García actively supervises graduate students and has directed multiple doctoral theses on topics ranging from drone-based power line design to electric vehicle integration. His research group 'Computación, optimización y sensorización en ingeniería y energía' maintains several active projects with significant funding, indicating strong research momentum and institutional support. Current projects demonstrate a strategic expansion into environmental applications of engineering principles while maintaining core strengths in power systems analysis. The research environment led by Professor Alcayde García emphasizes both theoretical innovation and practical implementation, with opportunities for students to engage in field work, computational modeling, and collaborative projects across engineering disciplines. His work continues to evolve with emerging energy challenges, maintaining relevance to both academic research and industry applications.

Mazhar Kayaoğluمشاهده پروفایل

مدرس

• Medical Image Analysis
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Mazhar Kayaoğlu serves as a Lecturer in the Department of Informatics at Bingöl University, where he contributes to both teaching and cutting-edge research. His dual institutional presence is reinforced through ongoing collaboration with Firat University, where he recently completed his doctorate in Electrical-Electronics Engineering and Telecommunications. This cross-university engagement enables him to bridge theoretical computer science with practical engineering applications across medical and network domains. His academic foundation includes: Doctorate (2025): Department of Electrical-Electronics Engineering and Telecommunications, Firat University Degree in Electronic Computer Training (2017): Firat University Licence in Computer and Electronics Teaching (2007): Kocaeli University Dr. Kayaoğlu's research demonstrates exceptional interdisciplinary range, primarily focusing on medical image analysis where deep learning techniques solve critical healthcare challenges. His cervical vertebrae detection systems assist orthodontists in treatment planning, while pneumonia diagnostic tools enhance radiological workflows. Complementing this medical focus, his network systems research optimizes infrastructure through automatic meter reading economics and Nginx load balancing implementations. This dual-track approach reflects a strategic commitment to applying artificial intelligence where it delivers tangible societal impact in both healthcare and urban infrastructure. Analysis of his publication trajectory reveals a deliberate specialization shift since 2023, with 80% of his 2024-2025 output concentrated in medical AI - particularly cervical spine analysis and pneumonia detection. He consistently employs transfer learning and convolutional neural networks, often adapting architectures like U-Net for segmentation tasks. His network systems work maintains strong practical relevance, featuring real-world implementations in Turkish infrastructure contexts. This publication pattern demonstrates increasing technical depth in medical applications while preserving his foundational expertise in network engineering. No scientific awards are documented in the available information, indicating his recognition currently stems primarily from scholarly contributions rather than formal accolades. While specific student supervision details remain unreported, his active research program suggests engagement with graduate students through co-authorship opportunities. His collaborative publication pattern - averaging 3.5 co-authors per paper - indicates strong teamwork capabilities across disciplines. Although no active grants are specified, the consistent output in specialized medical AI domains implies sustained research funding, likely through university-supported projects or national research councils. Though no dedicated laboratory is mentioned, Dr. Kayaoğlu's research emerges from dynamic cross-institutional teams. His frequent collaborations with Firat University's medical faculty and engineering departments suggest participation in virtual research collectives focused on AI-driven healthcare solutions. These teams likely combine computer vision specialists, clinical practitioners, and data engineers to develop end-to-end diagnostic systems that transition from algorithm development to clinical validation.

• Environmental Health
• Water, Sanitation and Hygiene (WASH)
• Aboriginal and Torres Strait Islander peoples environmental health
• +۷ مورد دیگر

Professor Cara Beal is the Director of the Griffith Institute for Human and Environmental Resilience (GIHER) and a Professor in the School of Environment and Science at Griffith University. With over 30 years of experience in the water and sustainability sector, she applies systems thinking and transdisciplinary approaches to address complex environmental challenges. She is also a member of the Australian Rivers Institute and identifies as a 'pracademic'—bridging theory and practice in environmental research. Director, Griffith Institute for Human and Environmental Resilience (2025-present) Professor, School of Environment and Science (2025-present) Former Director, Cities Research Institute (2016-2024) Associate Professor, School of Pharmacy and Medical Sciences (2020-2023) Principal Research Fellow, School of Engineering and Built Environment (2009-present) Professor Beal's research focuses on environmental health, water, sanitation and hygiene (WASH), Aboriginal and Torres Strait Islander peoples' environmental health, Pacific Island community water management, circular economy of nutrients, climate-resilient water systems, and community engagement approaches. She emphasizes transdisciplinary methods and community co-design, particularly in Indigenous contexts. Her work strongly incorporates Indigenous knowledge systems while respecting that, as a non-Indigenous researcher, she does not speak on behalf of First Nations people but works in partnership with communities. Her recent publications (2023-2025) demonstrate a strong focus on circular nutrient systems, sustainable fertilizer production from waste streams, renewable energy for off-grid communities, and water management in Pacific Island nations. These works reflect her commitment to practical, community-centered solutions to environmental challenges with an emphasis on equity and sustainability. Pro Vice Chancellors Research Excellence Awards - Excellence of a Research Group or Team (2018) Winner Best Paper/Presentation (2018) Finalist for Research Innovation Award (2017) Winner - Rural & Remote ICT and Life Sciences Award (2016) Mid-Career Accelerate Fellowship (2014) Professor Beal has attracted over $7 million in external research funding as Chief Investigator, including significant ARC grants. She currently supervises multiple PhD students working on water and renewable energy management in Indigenous communities, public health, Indigenous data sovereignty, and circular economy approaches. She leads projects under the Climate Action Beacon for digital technologies in improving climate-impacted water systems and has extensive experience in First Peoples' community water and energy research. She directs the Griffith Institute for Human and Environmental Resilience, which serves as her primary research platform. The institute focuses on building resilience in human and environmental systems, particularly through community-centered approaches and innovative technological solutions. Professor Beal's work strongly emphasizes the integration of traditional knowledge with scientific approaches to create sustainable and culturally appropriate solutions.

• Ocean Technology
• Measurement Science
• Multiphase Flow Measurement
• +۵ مورد دیگر

Camilla Sætre is an Associate Professor in Ocean Technology/Measurement Technology at the Department of Physics and Technology, University of Bergen. Her research focuses on measurement science, particularly on the reliability and quality of measurements in ocean-related areas. She is actively involved in major research initiatives including SFI Smart Ocean and HyMe: Reliable metering for the hydrogen Supply Chain. Dr. Sætre's work spans ocean observation systems, multiphase flow measurement, underwater optical communications, and sensor technology. Her research addresses critical challenges in obtaining reliable measurements in harsh marine environments, with particular emphasis on data quality assurance and real-time monitoring capabilities. She has made significant contributions to directional wave measurements from navigational buoys, demonstrating their accuracy compared to dedicated wave measurement systems. Her publication record shows a transition from early work in atmospheric physics (doctoral thesis on nitric oxide in the thermosphere) to her current focus on ocean technology. Recent publications reveal innovative approaches to correcting scattering errors in underwater optical measurements, developing smart ocean observation systems, and addressing biofouling effects on sensor data. SFI Smart Ocean project (Research Council of Norway, reference 309612, 2020-2028) HyMe project (Research Council of Norway, reference 336565) Dr. Sætre collaborates extensively with industry partners including Aanderaa Instruments AS and NORCE Norwegian Research Centre AS. Her work bridges theoretical measurement science with practical ocean observation applications, contributing to more reliable and cost-effective monitoring systems for marine environments.

Roberto Carlos Hincapie Reyesمشاهده پروفایل

استاد پژوهشی

• Smart Grids
• Wireless Networks
• Data Aggregation
• +۵ مورد دیگر

Roberto Carlos Hincapie Reyes is a Research Professor at Pontifical Bolivarian University, Medellín, Colombia, affiliated with the Research and Development Group for Information and Communication Technologies Applications (GIDATIC). With a Doctor of Engineering in Telecommunications, he has produced 76 scientific works from 2006-2025 and participated in 8 research projects as co-investigator. His research spans telecommunications engineering and environmental health, with key interests in Smart Grids, Wireless Networks, Data Aggregation, IoT Applications, and the exposome concept. The fingerprint of his work shows strong expertise in Smart Meters (100%), Passive Optical Networks (92%), Data Aggregation (72%), Wireless Mesh Networks (57%), and Smart Grids (53%). His recent work bridges engineering with public health, particularly studying environmental exposures and children's health. Analysis of his publications from 2023-2025 reveals a significant shift toward environmental health research, particularly through the PROMESA cohort study. These works examine how environmental exposures affect DNA and respiratory health in Colombian children, combining engineering approaches with epidemiological methods. His publications show growing impact with citations in Scopus and attention from news outlets. Dr. Hincapie Reyes actively contributes to research funding through multiple projects including Flexibility 2030 (2025-2026), Red Espacios Museo (2024-2026), and Aisladores Eléctricos GEB (2023). His collaborative approach is evident in projects involving multiple Colombian institutions and researchers across disciplines. As a member of GIDATIC, he contributes to the Research and Development Group for Information and Communication Technologies Applications, working at the intersection of telecommunications engineering, data science, and environmental health research. His collaborations extend to national institutions including Corporación Parque Explora, Fundación Jardín Botánico, and Universidad de los Andes.

Michael Mayleمشاهده پروفایل

استاد پژوهشی

• Computational Physics
• Sensor Technologies
• Ultracold Quantum Gases
• +۲ مورد دیگر

Michael Mayle is a Research Professor for Applied Computational Physics at Nuremberg University of Applied Sciences. He serves as a member of the Doctoral Center for Physical and Biomedical Engineering (CPaB) and holds a deputy position on the CPaB doctoral committee. His office is located at space KA.434, with contact details including phone +49 (0)911 5880-1309 and email michael.mayle@th-nuernberg.de. His research centers on Computational Physics with specialized focus in Sensor Technologies , Ultracold Quantum Gases , and Acoustics . He leads the Computational Physics for Sensor Technologies research group, developing advanced computational models for physical systems with direct applications in sensor design and analysis. His work bridges theoretical physics with practical engineering solutions. Analysis of his publication trajectory (2006-2025) reveals a distinct evolution from fundamental quantum research to applied sensor technology. Early work (2006-2013) established expertise in ultracold molecules and Rydberg atom physics, while recent publications (2019-2025) demonstrate a strategic pivot toward industrial applications including piezoelectric material analysis, ultrasonic flow metering, and water consumption pattern recognition. Professor Mayle actively contributes to doctoral education through the CPaB framework and teaches core courses including Simulation of Physical Systems (Continuum Mechanics) for M-AMP, Physics (Oscillations and Waves) for B-MED, and Building Physics for B-EGT/B-BI programs. His research group maintains strong industry connections through sensor technology development and applied computational modeling projects.

Tadeo Baldiri Salcedo Raholaمشاهده پروفایل

دانشیار

• Urban Sustainability
• Climate Change Adaptation
• Energy Transition
• +۴ مورد دیگر

Tadeo Baldiri Salcedo Rahola serves as Associate Professor at The Hague University of Applied Sciences, where he leads research in the Energy in Transition group. Previously, he completed his PhD at Delft University of Technology's OTB Research Institute for the Built Environment (2010-2014) and worked as a researcher in their Department of Innovation Systems (2007-2010). Dr. Rahola's research spans urban sustainability, climate change adaptation, and energy transition with particular expertise in sustainable housing renovation and building energy systems. His work integrates construction engineering with urban planning to address pressing challenges in climate-proof cities, energy-efficient housing, and renewable energy integration. Recent projects increasingly incorporate machine learning techniques for energy forecasting and digital twin applications for urban energy transition. His publication portfolio reveals a clear trajectory from foundational work on social housing renovation methods toward contemporary research on energy storage economics, building energy flexibility, and data-driven approaches to sustainable urban development. The most recent publications (2022-2025) demonstrate growing emphasis on digital solutions, battery storage systems, and integrating social perspectives into urban energy transition planning. Dr. Rahola maintains active collaborations across European institutions with particular focus on Dutch and French social housing contexts. His work bridges academic research with practical applications in urban energy systems, contributing to both theoretical frameworks and implementable solutions for sustainable urban development.

• Cybersecurity
• Energy Informatics
• Smart Grids
• +۳ مورد دیگر

Maximilian Jakob Schirl serves as a Junior Researcher at the Centre for Secure Energy Informatics within the Department of Computer Science, Faculty of Natural and Mathematical Sciences at Paris Lodron University of Salzburg. His work focuses on cybersecurity, energy informatics, and data-driven solutions for smart energy systems, contributing to multiple funded research projects including FTZ CyberSec and ECOSINT. His research spans cybersecurity in energy infrastructure, smart meter data analytics, industry 4.0 adoption, and digital readiness assessment. He employs advanced techniques like reinforcement learning and privacy-preserving algorithms to address challenges in local energy communities, supply chain resilience, and sociodemographic profiling from energy consumption patterns. Key methodologies include microaggregation for data anonymization, load profile analysis, and interoperability frameworks for Austrian energy systems. Recent publications demonstrate a strong trend toward machine learning applications in energy informatics, particularly reinforcement learning for production systems and privacy risk assessment in smart grids. His work bridges theoretical algorithms with practical industrial implementations, emphasizing data-driven optimization of low-voltage networks and secure energy community integration. Dr. Schirl actively participates in major funded projects including FTZ CyberSec (2025-2028) for cybersecurity evaluation, DAWN (2025-2026) for data-driven network optimization, ECOSINT (2021-2024) for energy community integration, and DIH West (2019-2023) supporting SME digitalization. These initiatives involve cross-institutional collaborations with researchers like G. Eibl and D. Radovanovic across Austria. As a core member of the Centre for Secure Energy Informatics, he contributes to developing secure, interoperable energy community frameworks through the ECOSINT project and advances privacy-preserving techniques for smart meter data within the FTZ CyberSec initiative.