جست‌وجوی استاد و پژوهشگر

• Advanced Data Analytics
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Rafael Palacios Hielscher is a Full Professor at the Department of Computer Science, ICAI School of Engineering, and a Researcher at the Institute for Research in Technology (IIT) at Universidad Pontificia Comillas. He holds a Mechanical Engineering degree from ICAI (1990) and a PhD in Incipient Failure Detection (1998). His research focuses on Advanced Data Analytics, Artificial Intelligence, Cybersecurity, Telemedicine, and Aviation Safety. He has led academic programs in Telecommunications Engineering and Computer Science at Comillas-ICAI (2011–2024) and has held visiting professorships at MIT in Cybersecurity, Energy, and Aeronautics (2001–2025). Education: Mechanical Engineering (1990), ICAI School of Engineering, Universidad Pontificia Comillas PhD in Incipient Failure Detection (1998), Universidad Pontificia Comillas Research Interests: Advanced Data Analytics applied to anomaly detection, image processing, and GIS Cybersecurity for vehicles, wearables, and critical infrastructure Telemedicine and aviation safety systems Machine learning for healthcare and industrial applications Publications: His recent work emphasizes cybersecurity vulnerabilities in automotive systems, telemedicine resource optimization, and energy sector planning. Over 60 journal articles and 60 conference papers demonstrate expertise in multidisciplinary applications of AI and data science. Awards: Recipient of the 3rd Technology & Innovation Award for the Master’s in Cybersecurity (2019) and recognized in Actualidad Económica ’s 100 Best Ideas (2009). Advising & Grants: Supervised 4 PhD theses and led over 60 projects, including electrification strategies for Bolivia, Rwanda, and Pakistan. Collaborates with MIT, World Bank, and EU Horizon initiatives. Labs/Teams: Active in ICAI’s Cybersecurity Lab and MIT’s CAMS initiative, focusing on OT cybersecurity integration and smart grid resilience.

Bodan Velkovskiمشاهده پروفایل

عضو هیئت علمی

• Renewable Energy Systems
• Power Quality Analysis
• Energy Storage
• +۳ مورد دیگر

Bodan Velkovski is an academic at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, holding the rank of Assistant. His research focuses on modern power systems, particularly renewable energy integration, smart grid technologies, and power quality analysis. With an institutional email (bodan@feit.ukim.edu.mk), he actively contributes to advancing sustainable energy solutions. Research Interests: Velkovski's work spans interdisciplinary domains including: Design and optimization of renewable energy communities Electric vehicle-grid integration frameworks Advanced power quality disturbance analysis and simulation tools GPU-accelerated computational methods for power systems Innovative e-learning platforms for engineering education His 15 most recent publications (2020-2024) demonstrate consistent focus on energy transition challenges, with 73% addressing renewable community operations, 20% on power quality instrumentation, and 7% on educational technology. This reflects a balanced portfolio bridging theoretical research with applied engineering solutions. Educational Contributions: Velkovski develops collaborative learning environments, notably creating remote laboratory platforms for vocational electrical engineering training that enable hands-on experimentation through digital interfaces.

Sharath Kumar Jagannathanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Data Privacy
• +۷ مورد دیگر

Dr. Sharath Kumar Jagannathan is an Assistant Professor at the Data Science Institute, Frank J. Guarini School of Business, Saint Peter’s University, New Jersey. He holds a Ph.D. in Computer Science (VIT Chennai) and expertise in AI, machine learning, and data privacy. As Director of the Ph.D. Program and Operation Lead for the Microsoft Academic Initiative Team, he bridges academia and industry, specializing in privacy preservation in social networks, AI-driven solutions, and big data technologies. His academic journey includes roles at VIT University and the University of Melbourne, with research published in Scopus-indexed journals and IEEE conferences. He has authored books like Artificial Intelligence – Origin, Trends and Applications and contributed chapters to Elsevier’s Next-Generation Cyber-Physical Microgrid Systems . His work spans fraud detection, energy storage systems, and mental health analysis via social media. Dr. Jagannathan has earned awards including the 2023 Outstanding Thesis Award and Research Excellence Awards. His teaching portfolio includes courses like Data Visualization and Machine Learning , and he mentors students on projects blending theory and practical problem-solving. His leadership extends to organizing academic events and workshops on emerging technologies. Notable contributions include patents on IoT-based health devices and AI-driven stock market tools, reflecting his commitment to innovation. He actively reviews manuscripts for journals like Information Discovery and Delivery and conferences like IEEE ICRTAC, further cementing his influence in data science and privacy research.

John Zheng Shenمشاهده پروفایل

استاد

• Power Electronics
• Power Semiconductor Devices
• Renewable Energy Systems
• +۳ مورد دیگر

John Zheng Shen is a Professor and Director at the School of Mechatronic Systems Engineering at Simon Fraser University. He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994) and has over 30 years of experience in power electronics, renewable energy systems, and semiconductor device research. His work bridges academia and industry through extensive patent development and conference leadership. Education Ph.D. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1994) M.S. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1991) B.S. in Electronic Engineering, Tsinghua University, China (1987) Shen's research focuses on power electronics , fault protection in microgrids , and transportation electrification . His recent publications emphasize DC circuit breaker design, hybrid converter optimization, and stability analysis in renewable energy systems. He has contributed to over 300 peer-reviewed papers and holds 18 U.S. patents. Shen has received multiple accolades including the NSF CAREER Award , IEEE Fellow , and Motorola Science and Technology Award . He has served in leadership roles for IEEE Power Electronics Society and organized over 30 international conferences.

David Lubkemanمشاهده پروفایل

استاد پژوهشی

• Power Systems
• Distribution Automation
• Smart Grid
• +۱ مورد دیگر

David Lubkeman is a Research Professor Emeritus at North Carolina State University with over 25 years of experience in distribution systems and automation. He holds a Ph.D. in Electrical Engineering from Purdue University and is a licensed professional engineer. His research focuses on: Distribution system automation and management Smart grid technologies and business case analysis Renewable energy integration and large-scale energy storage Microgrid formation and resilient load restoration His recent publications address microgrid management, under-frequency load shedding, and hierarchical frameworks for resilient power systems. He has authored more than 40 publications and holds 13 US patents.

• Data Science
• Electrical Energy Systems
• Machine Learning
• +۷ مورد دیگر

Seyedmahmood Hosseiniimani is a Fixed-term Assistant Professor and Researcher in the Department of Energy (DENERG) at Politecnico di Torino, Italy. He is actively engaged in research and teaching in the domains of electrical energy systems, data science, and smart grid technologies. He contributes to multiple academic programs as a course collaborator and serves on several course councils. Position: Fixed-term Assistant Professor Institution: Politecnico di Torino Department: Department of Energy (DENERG) Research Focus: Data Science, Machine Learning, Electrical Energy Systems, Microgrids, Power Economics His research interests lie at the intersection of data analytics and energy systems, with a strong emphasis on applying machine learning and statistical methods to electricity markets, demand forecasting, and microgrid optimization. He explores topics such as price clustering, inter-zonal congestion, pandemic impacts on energy demand, and demand response in smart grids. The trend in his recent publications shows a consistent focus on data-driven analysis of electricity markets, particularly in the Italian context. His work combines technical modeling with economic and policy implications, targeting journals and conferences in power systems, energy informatics, and sustainable infrastructure. He frequently employs regression models, clustering algorithms, and systematic reviews to extract insights from complex energy datasets. He is a Guest Editor for the journal ENERGIES (2025–present), contributing to scholarly discourse in renewable and sustainable energy. While no formal scientific awards are listed, his editorial role reflects recognition in the academic community. Hosseiniimani supervises PhD student Erminia Consiglio in the field of Electrical, Electronic, and Communications Engineering. His teaching responsibilities include courses such as Smart Grids, Electrical Systems for Buildings, and Fundamentals of Energy Conversion, Transport, and Storage across various engineering programs. He collaborates with senior researchers like Prof. Ettore Bompard and contributes to interdisciplinary research projects aligned with UN SDGs 7, 9, 11, and 12. He is involved in research initiatives related to energy communities, prosumer integration, and data analytics for policy support, working within a dynamic research environment at DENERG focused on sustainable and intelligent energy systems.

Anne Barrosمشاهده پروفایل

پژوهشگر

• Resilience Engineering
• Optimization
• Critical Infrastructure Networks
• +۴ مورد دیگر

Anne Barros is a prominent researcher specializing in resilience engineering, optimization of critical infrastructure networks, and stochastic modeling. Her work focuses on enhancing the reliability and resilience of power systems, telecommunications networks, and interdependent infrastructures under uncertainty. She has contributed significantly to the development of maintenance strategies, condition-based monitoring systems, and decision-making frameworks under stochastic environments. Key research areas: Resilience quantification, stochastic optimization, infrastructure interdependencies, 5G communication reliability, and climate change impact modeling. Co-authored over 50 publications including articles in top journals and conference proceedings. Her recent work emphasizes the integration of reinforcement learning techniques with maintenance optimization for industrial systems. Collaborations include projects on pandemic control strategies, smart grid resilience, and disaster recovery modeling. Barros' research has been applied to real-world systems such as offshore wind farms, railway-power networks, and critical infrastructure coordination frameworks. She actively participates in international conferences and publishes across interdisciplinary domains including reliability engineering, operations research, and systems engineering.

Preetham Goliمشاهده پروفایل

استاد آموزشی

• Power Systems Engineering
• Distribution System Planning
• Electric Vehicle Grid Integration
• +۱۰ مورد دیگر

Preetham Goli is an Associate Teaching Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is affiliated with the Division of Energy, Matter, and Systems, where he contributes to both teaching and research in power systems engineering. Educational Background: B.E. in Electrical Engineering, Andhra University, India Ph.D. in Electrical Engineering, University of Houston, 2014 Dr. Goli's research focuses on the modernization and resilience of power systems, with core interests including distribution system planning, integration of electric vehicles into the grid, microgrid protection, and cybersecurity challenges in power infrastructure. He also explores the application of machine learning techniques for monitoring and enhancing power system reliability. His work addresses both technical and educational aspects of power engineering, including post-disaster restoration of critical infrastructure and operational technology (OT) security. Although no publications are listed in the provided text, his active engagement in research is evident through his professional service and ongoing academic contributions. Scientific Awards: Scholarship recipient for the year 2011 by American Society of Indian Engineers (ASIE) Excellence in Teaching Award, School of Computing and Engineering, UMKC, 2021 Dr. Goli is actively involved in academic service, mentoring, and curriculum development. As a dedicated educator, he advises students and contributes to power engineering education. He has been recognized for excellence in teaching and maintains strong professional engagement through grant-related research activities focused on grid resilience and smart grid technologies. Laboratories and Research Teams: While specific lab names are not mentioned, Dr. Goli is part of the research ecosystem within the Division of Energy, Matter, and Systems at UMKC, which supports interdisciplinary work in energy systems, smart grids, and infrastructure resilience. His collaborations likely involve teams working on grid integration, protection systems, and cybersecurity for critical energy infrastructure.

• Control
• Power Electronics
• Applications of Power Electronics to Electric Power Systems
• +۵ مورد دیگر

Pablo García González is a Full Professor and Director of Postgraduate and Doctoral Studies at the ICAI School of Engineering, Comillas Pontifical University. He is affiliated with the Department of Electronics, Automation and Communications and conducts research at the Institute for Research in Technology (IIT). His academic career has been centered on control systems and power electronics applications in electric power networks. His research interests include: Control of electric power systems Power electronics and its applications FACTS devices (UPFC, STATCOM) Active filters HVDC systems Stability and control of modern power grids His recent publications focus on advanced power system control, including DC segmentation for oscillation mitigation, integration of plug-in electric vehicles for frequency control, and modeling of power electronics devices. These works appear in top journals such as IEEE Transactions on Power Systems and International Journal of Electrical Power & Energy Systems. Notable scientific contributions include: Supervision of PhD theses on PEV aggregation and active power filtering Leadership in major research projects funded by MCIN, Comunidad de Madrid, and the European Commission Authorship of book chapters on STATCOM control and smart grids Technical reports on HVDC-VSC systems and power system protection He has advised on numerous industrial projects for companies like Endesa, Unión Fenosa, and Reganosa, and has contributed to outreach through Comillas Magazine. His work bridges academic research and practical engineering solutions for modernizing electrical grids.

Bo Zengمشاهده پروفایل

دانشیار

• Optimization
• Robust Optimization
• Stochastic Programming
• +۷ مورد دیگر

Bo Zeng is an Associate Professor in the Swanson School of Engineering at the University of Pittsburgh. His research focuses on developing and utilizing optimization and analytics tools to address challenges in real systems, particularly in discrete optimization models with uncertainties, game theory models, and advanced data analysis and computing methods. His work is extensively applied in engineering, healthcare, and management systems. Dr. Zeng earned his PhD from Purdue University in 2007 and his BS from Xian Jiaotong University in 1998. His research interests span optimization, robust optimization, stochastic programming, power systems, demand response, renewable energy integration, high performance computing, game theory, mixed integer programming, and multilevel optimization. Analysis of Dr. Zeng's recent publications reveals a strong focus on power systems and energy applications, with significant contributions to microgrid planning, demand response modeling, renewable energy integration, and robust optimization techniques. His work demonstrates a consistent pattern of applying advanced mathematical optimization methods to solve complex problems in energy systems, with increasing attention to uncertainty modeling and risk management in power grid operations. Dr. Zeng has collaborated extensively with researchers across multiple institutions, particularly in China, reflecting the global nature of energy research and the international collaboration needed to address complex energy challenges. His publications span high-impact journals in power systems, optimization, and interdisciplinary energy research.

• 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.

• Information Systems
• Smart Cities
• Energy Informatics
• +۴ مورد دیگر

Wieland Schwinger serves as Associate Professor in the Department of Cooperative Information Systems at Johannes Kepler University Linz (JKU), where he leads research at the intersection of information systems and critical infrastructure protection. His work addresses urgent challenges in operational technology monitoring for industrial control systems, energy data governance across European markets, and volunteer coordination during disasters. Current projects include iREDUCE (2025-2026), where he serves as Principal Investigator developing intelligent alarm flood reduction systems for critical infrastructure. His research program centers on three interconnected pillars: semantic relationship awareness frameworks for operational technology monitoring, data governance solutions for fragmented European energy markets, and goal-oriented recommender systems for crisis volunteering. Recent publications demonstrate consistent innovation in translating theoretical advances—particularly in data spaces and semantic modeling—into practical applications for smart cities and critical infrastructure. This work bridges computer science with energy engineering and social computing, yielding deployable solutions for urban microgrids and disaster response systems. Prof. Schwinger's 2024-2025 publications reveal a strategic focus on data accessibility challenges in critical domains, with 60% addressing operational technology monitoring through semantic frameworks and digital shadows. His energy governance research tackles European market fragmentation through comparative analysis of regulatory models, while volunteering systems explore novel data space integrations. These outputs reflect an interdisciplinary methodology combining empirical validation with framework development, consistently targeting real-world implementation in Austrian and European contexts. He received dual recognition in 2025 for sustained scholarly impact: SoSyM Most Influential (theme section) Paper award (September 2025) Ten-year most influential theme section paper award (October 2025) These honors specifically acknowledge his foundational work on model-to-model transformation languages, demonstrating research influence extending over a decade. As an active grant recipient, Prof. Schwinger currently leads the FFG-funded iREDUCE project (€ project value) and contributes to Civolunteer and FFG-KIRAS CERTIFIER initiatives. His project portfolio shows strong continuity in critical infrastructure research since 2021, with increasing leadership responsibilities including Principal Investigator roles. International engagement includes the ASEA-UNINET network for disaster management and European energy governance collaborations, supported by both FFG and EU funding mechanisms like Erasmus+. Research activities occur within JKU's Department of Cooperative Information Systems, where Prof. Schwinger collaborates closely with colleagues including Kapsammer, Retschitzegger, and Pröll. The group maintains strong industry ties through FFG projects with Austrian critical infrastructure operators, focusing on deployable monitoring solutions and data governance frameworks. Students gain hands-on experience with industrial datasets and real-time operational technology environments, preparing them for careers at the technology-policy interface in critical sectors.

Piotr Chrzanمشاهده پروفایل

استاد

• Power Electronics
• Electrical Drives
• Electromagnetic Compatibility
• +۳ مورد دیگر

Prof. Piotr Chrzan is a full-time Professor at Gdańsk University of Technology's Faculty of Electrical and Control Engineering, where he leads research in the Department of Power Electronics and Electrical Machines. His office is located in Building A, Room EM-211, and he can be contacted via phone (+48583471719) or email. His research encompasses: Advanced power electronics converter design using GaN transistors EMI mitigation through shielding and quasi-resonant techniques Wideband modeling of DC-DC converters Control systems for electrical drives Renewable energy integration with photovoltaic nano-installations Educational engineering tools including remote laboratories Publication analysis reveals three dominant themes in his recent work: GaN semiconductor applications (2020-2025): 60% of publications focus on GaN-based converter optimization, EMI reduction, and 3D packaging techniques Modeling methodologies : 25% cover wideband converter modeling, parasitic parameter extraction, and simulation validation Educational systems : 15% develop teaching tools for power electronics and renewable energy

• Control Systems
• Renewable Energy
• Electric Vehicles
• +۵ مورد دیگر

Professor Abdelhamid Rabhi is a Full Professor at Université de Picardie Jules Verne (UPJV) in France, where he leads research in the SYSCOM (Systems and Control) domain. His work focuses on the application of advanced control techniques to renewable energy systems, electric vehicles, and power electronics, with strong emphasis on experimental validation of theoretical approaches. Professor Rabhi's research spans multiple interconnected areas: Advanced control strategies including fuzzy logic, robust control (H-infinity), and predictive control Renewable energy integration and optimization (photovoltaic, wind) Electric vehicle power management and control, including battery/supercapacitor systems Microgrid operation, protection, and fault diagnosis Power electronics for energy conversion systems His recent publications (2024-2025) reveal a strong focus on practical implementation challenges, with particular attention to thermal effects, component aging, and real-world validation. Professor Rabhi's work consistently bridges theoretical control concepts with practical engineering solutions for sustainable energy challenges, as evidenced by frequent mentions of experimental verification in his publications. Notable achievements include: Exceptionally productive research output with 14+ papers in 2025 alone Active international collaborations, particularly with Tunisian and Mexican institutions Editorial contributions to major conference proceedings on electronic engineering and renewable energy Publications in high-impact journals including Energy, IEEE Access, and Scientific Reports Professor Rabhi maintains an active research program addressing critical challenges in sustainable energy systems. His lab provides students with opportunities to work on cutting-edge problems combining theoretical development with practical implementation, preparing them for careers at the forefront of energy system innovation.

• Power Systems
• Power System Protection
• Power Quality
• +۳ مورد دیگر

Dean Valla Sorensen serves as an Adjunct Lecturer in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), teaching graduate power systems protection courses since 2011 while concurrently working as Principal Engineer in National Grid's Protection Policy and Support group. With 35+ years of industry experience spanning transmission, distribution, and generation systems, he specializes in power system protection, controls, and power quality challenges. His academic credentials include: B.S. Electrical Engineering with distinction (1984), Worcester Polytechnic Institute M.S. Power Systems Management (2002), Worcester Polytechnic Institute He maintains active IEEE membership and serves on the Power System Relay Committee (PSRC), holding Massachusetts Professional Engineer licensure. Sorensen's research addresses critical grid reliability issues through practical applications of protection systems. His work examines load encroachment phenomena in complex scenarios involving undersea cables and wind farms, nuisance tripping mechanisms in adjacent faulted lines, and voltage distortion from nonlinear loads. This focus bridges theoretical protection principles with real-world operational challenges in modern grids integrating renewable resources. His scholarly output demonstrates consistent industry relevance, with recent conference presentations analyzing actual grid events at Georgia Tech's Fault and Disturbance Analysis Conference (2019, 2017) and PSRC reports (2016). These works highlight evolving protection challenges in grids with increasing renewable penetration and complex topologies. As an adjunct faculty member, Sorensen provides graduate students with direct industry insights through case-based teaching. His National Grid role offers exposure to current protection policy development and real grid data analysis, though formal research advising or grant-funded projects aren't documented in available materials. This practitioner-academic duality creates unique learning opportunities focused on immediate industry applicability.