جست‌وجوی استاد و پژوهشگر

• Power Systems
• Microgrids
• Inverter Control
• +۳ مورد دیگر

Xiaonan Lu is an Associate Professor of Electrical Engineering Technology at Purdue University's School of Engineering Technology, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. His research focuses on critical challenges in modern power systems dominated by inverter-based resources, particularly stability and control in microgrids and renewable-integrated grids. His research interests span power systems engineering with emphasis on small-signal stability analysis, dynamic modeling of hybrid AC/DC microgrids, and advanced control strategies for grid-forming and grid-following inverters. He investigates AI-assisted modeling techniques, resilience enhancement through hydrogen integration, and data-driven optimization of microgrid operations to address challenges in low-inertia power systems and distributed energy resource coordination. Analysis of his recent publications (2024-2025) reveals dominant trends toward AI-aided stability assessment, seamless control transitions between inverter modes, and quantifiable trade-offs in voltage regulation and power sharing. His work consistently addresses practical implementation challenges including communication delays, cyber resilience, and standardized testing methodologies for inverter-dominated systems.

Sahani Pathirajaمشاهده پروفایل

مدرس

• Data Science
• Bayesian Inference
• Stochastic Analysis
• +۷ مورد دیگر

Dr. Sahani Pathiraja is a Lecturer (tenure track assistant professor) at UNSW Sydney , specializing in Data Science . Her research bridges mathematical and statistical foundations with practical applications in environmental and biomedical sciences. Research Focus : Sequential Bayesian inference, Monte Carlo methods, stochastic analysis of non-linear filtering, uncertainty quantification, and real-time parameter estimation. Current Projects : Co-investigator in the ARC Industrial Transformation Training Centre: Data Analytics for Resources and Environment (DARE) and the Next Generation Graduate Program (NGGP) in Sports Data Science and AI . Research Supervision : Dr. Pathiraja supervises PhD students in areas including: Bayesian inference Stochastic differential equations Data assimilation Non-linear filtering Scientific Collaborations : Her work intersects with environmental science, biomedical applications, and machine learning. Projects include stochastic hydrology, SDEs, and operator learning for environmental systems. Contact Information : Email: s.pathiraja@unsw.edu.au Phone: +61 2 8065 0836 Office: Room 2070, Level 2, The Red Centre, UNSW Sydney

Luca Fredianiمشاهده پروفایل

استاد

• Theoretical and Computational Chemistry
• Density Functional Theory (DFT)
• Multiwavelet Methods
• +۴ مورد دیگر

Luca Frediani is a Professor in Theoretical and Computational Chemistry at the Hylleraas Center, Department of Chemistry, UiT The Arctic University of Norway. His research focuses on advanced quantum chemistry methods, including density functional theory, multiwavelet basis sets, and solvation modeling. He actively develops computational tools like MRChem and VAMPyR for molecular electronic structure calculations. Current affiliation: UiT The Arctic University of Norway Research group: Theoretical and Computational Chemistry Teaching: KJE-2001 Theoretical Chemistry and Spectroscopy His work spans relativistic quantum chemistry, numerical methods for response properties, and benchmarking of basis set limits. Publications emphasize eliminating basis set errors, multiwavelet applications, and polarizable continuum models for solvation. He collaborates extensively on software development for quantum chemistry. Recent articles highlight multiwavelet-based DFT at the basis set limit, noise-tolerant force calculations, and relativistic effects in electronic structure. Sub-fields include scalar relativity, cavity-free solvation, and metal-ligand interaction accuracy.

• Solar Energy Conversion
• Photovoltaics
• Perovskite Solar Cells
• +۵ مورد دیگر

Prof. Dr. Jan Christoph Goldschmidt is a W3 Professor of Experimental Physics specializing in Physics of Solar Energy Conversion at Philipps University of Marburg, where he leads the Solar Energy Conversion Group. He has held this position since November 2021, following leadership roles at the Fraunhofer Institute for Solar Energy Systems ISE in Freiburg, Germany from 2010-2021. His research group focuses on fundamental physical processes involved in converting solar energy into electrical energy using solar cells, with particular emphasis on developing new solar cell structures and improving existing designs. Dr. Goldschmidt earned his PhD (Dr. rer. nat.) in Physics with Summa cum laude distinction from the University of Konstanz and Fraunhofer Institute for Solar Energy Systems (2005-2009), and completed his Dipl.-Phys. at Albert-Ludwigs Universität Freiburg and University of New South Wales (1999-2005). His educational background spans both German and Australian institutions, providing him with an international perspective on renewable energy research. His research primarily focuses on perovskite-based photovoltaics, with three main pillars: (i) highly efficient perovskite-based tandem solar cells that promise low costs and resource consumption; (ii) graphite-based perovskite solar cells that demonstrate exceptional stability with operating times of 9,000-10,000 hours; and (iii) comprehensive analyses of potentials, cost structures, and sustainability aspects of photovoltaics. His work integrates techno-economic-social aspects including ecological life cycle analyses, resource availability studies, and energy policy considerations, ensuring sustainability is incorporated from the design phase of new solar cell technologies. Among his notable scientific recognitions are the Dahrendorf-Fellowship for research at the Mercator Research Institute on Global Commons and Climate Change, a PostDoc research grant from the German Academic Exchange Service (DAAD), and multiple prestigious PhD scholarships. His research has attracted significant funding including BMWi collaborative projects, Fraunhofer Leitprojekte, and DFG Priority Programs with total project volumes exceeding millions of euros. Professor Goldschmidt has supervised 12 PhD students since 2010 and 25 Master's and Bachelor's students since 2005, with current doctoral candidates including Lea Obermüller (working on planet-centric design principles for terawatt-scale perovskite solar cells) and Christopher Janas (focusing on stability of perovskite tandem solar cells). His research group operates advanced facilities including the recently commissioned PeroLab and vacuum deposition equipment for sputtering interlayers in tandem solar cells. The Solar Energy Conversion Group maintains strong industry connections and collaborates on projects addressing real-world challenges in photovoltaics deployment, including integration of fluctuating generators into power grids and developing strategies for cost-effective climate protection through solar energy expansion. The group actively engages in sustainability considerations throughout the solar cell development process, recognizing that photovoltaics represents the most important energy conversion technology for climate protection while requiring careful attention to ecological and social impacts.

Ali Mehrizi-Saniمشاهده پروفایل

استاد

• Power Systems
• Renewable Integration
• Grid-Forming Inverters
• +۲ مورد دیگر

Dr. Mehrizi-Sani is Professor and Director of the Power and Energy Center at Virginia Tech, leading research in grid integration of renewables through inverter-based technologies. His work advances control systems for low-inertia power networks and cybersecurity for grid communications. Honors include the 2025 VT COE Research Award and IEEE PES Outstanding Young Engineer Award. He has supervised 8 PhD and 10 MSc graduates, with current projects exceeding $13M in funding.

Maria Kolokotroniمشاهده پروفایل

استاد

• Urban Heat Island Mitigation
• Energy Efficiency in Buildings
• Nearly Zero Energy Buildings (nZEB) Retrofit
• +۴ مورد دیگر

Professor Maria Kolokotroni is a full academic staff member at Brunel University's Department of Mechanical and Aerospace Engineering, within the College of Engineering, Design and Physical Sciences. She holds a Professorial rank and has extensive experience in urban environmental engineering and building energy systems. Her academic career began at UCL (MSc 1992, PhD 1995), followed by postdoctoral research on environmental design guidance and moisture management. She joined Brunel University in 1998 and contributed to the Building Research Establishment's indoor environment division prior to her academic appointment. Education MSc in Environmental Design and Engineering, Bartlett School, UCL (1992) PhD in Thermal Performance of Housing, UCL (1995) Postdoctoral Research: Environmental Design Guidance (UCL, 1996-1998) EPSRC-funded Postdoc: Moisture in Residential Buildings (University of Westminster, 1998) Research Interests Her work focuses on urban heat island mitigation, energy-efficient building technologies, ventilative cooling systems, and urban microclimate analysis. She actively collaborates on EU-funded projects like the IEA’s Annex 80 (Resilient Cooling) and Annex 62 (Ventilative Cooling), emphasizing practical applications of sustainable energy strategies. Key themes include: Urban albedo computation and reflective materials Thermal performance of residential and non-residential buildings Integration of renewable energy systems (photovoltaics, hydrogen) Building energy demand modeling Grants & Projects Recent projects include: PRELUDE: Real-time building energy optimization (EU, 2020-2024) PVadapt: Smart building-integrated photovoltaic systems (EU, 2018-2022) ReCO2ST: Near-zero energy retrofit platform (EU, 2018-2021) Urban albedo studies in high-latitude cities (EPSRC, 2017-2020) Advising & Collaborations Professor Kolokotroni leads interdisciplinary teams and collaborates with experts in mechanical engineering, environmental science, and urban planning. Her work bridges academic research with industry applications through projects like COOL ROOFS EU initiative and the IEA’s energy efficiency annexes. Labs/Teams Active in the International Energy Agency’s EBC Annex 80 (Resilient Cooling) and part of Brunel’s Institute for the Environment (IEF). Her research group focuses on building sustainability and climate resilience through advanced simulation tools and experimental validation.

Marcel A.M. Hendrixمشاهده پروفایل

استادیار

• Design Automation
• Cloud Computing
• IC Development
• +۴ مورد دیگر

Marcel A.M. Hendrix is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in high-precision power electronics and analog circuitry. He is affiliated with the Electromechanics and Power Electronics group and the Power Electronics Lab. Currently employed at Signify, he holds a part-time role at TU/e since 1998. His work integrates design automation, cloud computing, and IC development with system simulation and modeling. Education: MSc in Electronic Circuit Design from TU/e (1981) Research Focus: Hendrix’s research emphasizes hybrid switched-capacitor power conversion, discrete-time control techniques, and large-scale computing. His contributions include advancements in LED driver efficiency and grid-connected converter optimization. He is a key contributor to NGSPICE, an open-source circuit simulator. Advising & Grants: Supervised 33 academic works, including F.N. Hooge ’s thesis on sinus/cosinus generators. Recipient of 4417 citations across 120+ publications. Labs & Teams: Active in the Power Electronics Lab and collaborates on projects involving sustainable energy systems aligned with UN SDG goals.

Harsha Gangammanavarمشاهده پروفایل

دانشیار

• Optimization under Uncertainty
• Stochastic Programming
• Large-Scale Computational Optimization
• +۳ مورد دیگر

Harsha Gangammanavar is an Associate Professor in the Department of Operations Research and Engineering Management (OREM) at Southern Methodist University (SMU), affiliated with the Data Science Institute. He holds a Ph.D. in Operations Research and M.S. in Electrical Engineering from The Ohio State University, and a B.E. in Electronics and Communication Engineering from Visvesvaraya Technological University, India. Education: Ph.D. in Operations Research, The Ohio State University M.S. in Electrical Engineering, The Ohio State University B.E. in Electronics and Communication Engineering, Visvesvaraya Technological University Research Interests: His work focuses on stochastic programming, large-scale computational optimization, and their applications in infrastructure systems, healthcare, and wireless communication. Key areas include optimization under uncertainty, stochastic decomposition methods, and scalable algorithms for power systems and renewable energy integration. Recent Activities & Awards: Recipient of NSF XTRIPODS grant for collaborative research in data science (2024). DOE Office of Science grant for multiscale stochastic optimization (2022). ONR grant for decomposition-based stochastic models in discrete-event systems (2022). Awarded INFORMS Undergraduate Student Paper Award (2021) and INFORMS Minority Affairs Poster Competition (2016). Advising & Grants: Current advisees include Ph.D. students Ishara A.A.D.H., Jackson Forner, Chhavi Sharma, and Zhiyuan Zhang. Former students Niloofar Fadavi, Sakitha Ariyarathne, and others have secured roles in industry and academia. Active in securing grants from AFOSR, ONR, DOE, and NSF. Labs & Teams: Leads research on stochastic optimization algorithms, power grid resilience, and healthcare applications through interdisciplinary collaborations. Open to motivated students for Ph.D. research in optimization and data science.

Ertem Esinerمشاهده پروفایل

پژوهشگر

• Cryptography
• Security
• Privacy
• +۱ مورد دیگر

Dr. Ertem Esiner is a Senior Research Scientist and Coordinator at the Illinois Advanced Research Center at Singapore (Illinois ARCS), affiliated with the University of Illinois Urbana-Champaign. He holds a Ph.D. in Computer Science and Engineering from Nanyang Technological University (2017), an M.Sc. in Computer Science and Engineering from Koç University (2013), and a B.Sc. in Computer Engineering from Koç University (2011). His academic career includes teaching assistantships at both NTU and KU. Cryptography Security Privacy Cyberphysical Systems His research focuses on security solutions for cyberphysical systems, including the development of a security engine for enforcing automated policies and provenance verification in industrial control systems. Current projects include the Plug & Play Security Engine (Principal Investigator, 2023-2026) and automated security policy generation tools for IIoT environments. His work spans applications in smart grids, building energy management, and communication-based train control systems. Recent publications demonstrate a trend toward real-time security enforcement and provenance tracking in time-critical systems, including patented solutions for message authentication. He has secured multiple research grants totaling 5+ years of funding and leads teams of 4-7 members across collaborative projects with NTU, RESYNC Technologies, and Singapore-ETH Centre. Notable researcher from CREATE (2019) SINGA PhD scholarship recipient WOWZAPP 2012 hackathon winner UPE/ACM Scholarship awardee Vehbi Koç Scholarship recipient He has contributed to ACM and IEEE journals, developed a Building Energy Management System (BEMS) testbed , and published foundational work on secure data storage, query integrity, and decentralized access control mechanisms. His teaching experience includes courses on cryptography, operating systems, and algorithm design.

Erie Boormanمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Decision-Making
• Learning Mechanisms
• +۴ مورد دیگر

Erie D. Boorman is an Associate Professor of Psychology at the University of California, Davis, and a core member of the Center for Mind and Brain. His research focuses on the computational and neural mechanisms of learning and decision-making, bridging psychology, neuroscience, artificial intelligence, and behavioral economics. He leads the Learning and Decision Making (LDM) Lab, investigating how the brain constructs predictive models of the environment and uses them for decisions involving rewards, social contexts, and latent states. Education: Ph.D. in Experimental Psychology, University of Oxford (2010) MSc (Distinction) in Neurosciences, University of Oxford (2006) B.A. (Honors) in Psychology, Stanford University (2004) Research Interests: Computational models of learning and decision-making Neural basis of prediction systems (reward, social, and state prediction) Cognitive flexibility and structure learning Role of the hippocampus and prefrontal cortex in decision processes Awards: NSF CAREER Award (2019–present) Wellcome Trust Sir Henry Wellcome Postdoctoral Fellowship (2010–2014) Wellcome Trust Prize Studentship (2005–2010) His work has been supported by grants such as the NSF CAREER and Wellcome Trust Fellowships. Laboratory: The LDM Lab explores how humans form and adapt cognitive maps, leveraging multi-disciplinary approaches to understand neural and behavioral mechanisms underlying decision strategies.

Cristiana Bolchiniمشاهده پروفایل

استاد

• Dependability
• Fault Tolerance
• Reliability Analysis
• +۸ مورد دیگر

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

• Linked Data
• Data Management
• Ontology Engineering
• +۴ مورد دیگر

Dr. Ronald Maria Siebes serves as Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and Business Web and Media department. His research focuses on knowledge organization systems, semantic web technologies, and FAIR data principles. He leads projects involving interoperability frameworks for restricted data access, IoT-enabled smart buildings, and historical chronicle analysis. Current roles include managing Open Data Infrastructure initiatives and guiding PhD research in data governance. Education details are not explicitly provided in the text. Research interests emphasize ontology engineering, knowledge graph applications, and data management standards. Recent work explores FAIR Implementation Profiles for research data, IoT sensor integration in office environments, and dynamic knowledge graph embeddings. Active in 6 collaborative projects including smart grid integration and historical source analysis. Labs/Teams: Involved in Network Institute initiatives and Open PHACTS Foundation projects. Supervised 2 PhD theses (names not specified in text). Grant activities span €2.1M in EU Horizon and national funding for data infrastructure and knowledge engineering research.

Dilum Dissanayakeمشاهده پروفایل

دانشیار

• Transport Planning
• Human Geography
• Climate Change Mitigation
• +۷ مورد دیگر

Dr. Dilum Dissanayake is an Associate Professor in Human Geography and Transportation Planning at the University of Birmingham's School of Geography, Earth and Environmental Sciences. She holds a PhD from Nagoya University, Japan, and has expertise in transport planning, data analysis, and behavioral change to mitigate climate change. Her research integrates computing, data mining, and behavioral sciences with a focus on sustainable mobility, smart infrastructure, and innovative transport solutions. Education: PhD (Transport Planning), Nagoya University, Japan MEng (Infrastructure Planning and Management), Asian Institute of Technology, Thailand BSc (Hons) (Civil Engineering), University of Moratuwa, Sri Lanka Diploma in Programming Research Interests: Travel demand modeling, electric/autonomous vehicles, behavioral change for sustainability, transport policy analysis (e.g., congestion pricing, telecommuting), and developing country transport challenges. She applies methods like discrete choice models, machine learning, and NLP. Awards & Grants: Co-Investigator in CLEETS (UK-Japan £10m project), Principal Investigator in Capitalisation and eHUBS (€392k/€412k EU projects). Notable awards include the 2022 Remarkable Women in Transport Award and Duo-India Fellowship. Advising & Grants: Supervises 6 current PhD students and has guided 10 completed PhDs. Leads Transport Demand Management in CLEETS and Transport Modelling in Capitalisation. Teaches modules like Sustainable Cities and One-Planet Thinking. Labs/Teams: Part of Birmingham's Sustainable Cities research group, leading projects on micro-mobility, EV adoption, and post-pandemic transport trends. Engages in international collaborations via CLEETS and eHUBS.

Elizabeth Yankovskyمشاهده پروفایل

استادیار

• Physical Oceanography
• Climate Modeling
• Ocean Turbulence
• +۳ مورد دیگر

Elizabeth Yankovsky is an Assistant Professor in the Yale Department of Earth and Planetary Sciences, affiliated with the Atmosphere, Oceans, Climate Dynamics Group. She holds a PhD from Princeton University and conducted postdoctoral research at New York University's Courant Institute. Her research focuses on physical oceanography, climate modeling, and the role of ocean turbulence in shaping large-scale ocean dynamics and climate. She collaborates with [C]Worthy on marine Carbon Dioxide Removal (mCDR) projects, particularly studying ocean alkalinity enhancement and regional ocean modeling. Her work emphasizes understanding mesoscale and submesoscale eddies, dense water formation in the Arctic, and improving climate models through parameterization of unresolved processes. Key contributions include developing parameterizations for symmetric instability in abyssal flows and analyzing eddy vertical structure using high-resolution models. She has also explored river plume dynamics and estuarine processes using nonhydrostatic simulations. Dr. Yankovsky teaches courses on ocean physics and climate dynamics, integrating pedagogical strategies learned through Princeton's Teaching Transcript Program. Her outreach activities include STEM education initiatives for K-12 students, such as workshops on Arctic oceanography and climate science.