جستجوی استاد راهنمای دانشگاهی

Marco Galloمشاهده پروفایل

پژوهشگر ارشد

• Electrical Engineering
• Energy Systems Optimization
• Renewable Energy Integration
• +۳ مورد دیگر

Marco Gallo is a Research Fellow at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) of the University of Genoa, Italy. His work focuses on advanced optimization techniques for maritime power systems and smart port infrastructures. Key Research Areas: Electrical Engineering, Energy Systems Optimization, Renewable Energy Integration Current Projects: Shipboard Microgrid Optimization, Battery Storage Sizing, Smart Port Development His recent publications demonstrate expertise in applying computational methods like Mixed-Integer Linear Programming and Model Predictive Control to zero-emission maritime systems. The research spans power quality analysis, carbon intensity assessment, and multi-energy port design with vehicle charging capabilities.

• Materials Chemistry
• Sustainability
• Machine Learning
• +۱۱ مورد دیگر

Newell R. Washburn is an Associate Professor in the Department of Chemistry and Biomedical Engineering at Carnegie Mellon University, with a courtesy appointment in the Department of Materials Science and Engineering. His research integrates materials chemistry, sustainability, and machine learning to develop novel materials with reduced environmental impact. Ph.D., Chemistry, University of California, Berkeley (1998) B.S., Chemistry, University of Illinois at Urbana-Champaign (1993) His research emphasizes the development of biobased polyurethane elastomers from renewable resources like lignin, sustainable cement (LC3), and hierarchical machine learning algorithms for small datasets. He explores structure-function relationships and technological applications in non-fouling interfaces for medical diagnostics, metal recovery adsorbents, and conducting-polymer binders for batteries. Washburn’s recent publications highlight his work on integrating domain knowledge into machine learning models, optimizing polymer formulations using data science, and advancing sustainable materials through physicochemical and computational approaches. His group trains students in both laboratory techniques and data science. Covestro Global Science Award (2020) Coulter Foundation Translational Research Award (2010) 3M Non-Tenured Faculty Grant (2005) During his sabbatical (2020s), he collaborated with Covestro LLC to refine a hierarchical machine learning methodology for polymer formulation, reducing trial-and-error cycles in industrial applications. His lab fosters interdisciplinary expertise, preparing students for challenges in materials sustainability and innovation.

Kerim Obarčaninمشاهده پروفایل

مدرس پاره‌وقت

• Signal Processing
• Electrical Engineering
• Machinery Condition Assessment
• +۳ مورد دیگر

Kerim Obarčanin is a Part-Time Lecturer at the International University of Sarajevo , specializing in signal processing and electrical engineering. He works as the Technical Director at KV Team , a division of DV Power in Stockholm, Sweden, where he focuses on industrial R&D in test instrumentation and machinery condition assessment. His research interests include: High-voltage circuit breaker diagnostics Vibration signature analysis for predictive maintenance Machine learning applications in industrial systems Wireless technology for power equipment monitoring Embedded systems for real-time data acquisition Dynamic resistance measurement techniques The articles reflect a consistent focus on high-voltage equipment diagnostics using vibration signals, dynamic resistance, and machine learning algorithms, with recent work trending toward integrated systems and wireless solutions. Scientific awards: IEEE Senior Member His technical expertise bridges academia and industry, with applications spanning power systems, battery technology, and biomedical simulations.

• Battery Technology
• Fuel Cell Systems
• Electric Mobility
• +۳ مورد دیگر

Associate Professor Heiner Heimes serves as Chair of Production Engineering of E-Mobility Components at RWTH Aachen University . His work focuses on advanced manufacturing technologies for electric mobility, including battery systems, fuel cells, and sustainable production processes. Member of the Institute Management Contact: h.heimes@pem.rwth-aachen.de Research interests span battery technology , fuel cell systems , production engineering , and electric mobility solutions . His recent publications emphasize techno-economic models, defect detection, and process optimization in EV battery manufacturing. Key article trends include solid-state batteries , laser-based drying , automated disassembly , and AI-driven production , reflecting his contributions to scalable, sustainable e-mobility infrastructure. Scientific awards: As a collaborator in numerous studies, Heimes contributes to advancing dynamic capability models for electric mobility and optimizing hairpin stator production . His work addresses challenges in battery recycling, thermal management, and Industry 4.0 implementation.

• Transport Engineering
• Urban Logistics
• Electric Vehicle Optimization
• +۳ مورد دیگر

Óscar Castillo Campo is a Transport Engineering researcher at Antonio de Nebrija University , specializing in urban logistics and electric vehicle optimization . He actively contributes to the At-the-oUTSET research group focused on architectural and urban responses to socio-economic transformations. Education: PhD in Transport Engineering from Universidad Antonio de Nebrija (2023), thesis on Electric Vehicle Fleet Optimization for Urban Delivery His research spans sustainable mobility , charging infrastructure modeling , and transportation cybersecurity , particularly in cooperative and automated systems . Recent work explores economic optimization of electric powertrains and second-life battery applications in circular economy frameworks. Publications highlight trends in electric vehicle fleet management , hydrogen-electric hybrid technologies , and NTT algorithm performance . While no awards are explicitly mentioned, his interdisciplinary work bridges engineering, sustainability, and computational analysis. Currently affiliated with the At-the-oUTSET research group, he focuses on urban delivery electrification and smart mobility infrastructure . Contact: ocastillo@nebrija.es

Mahesh Krishnamurthyمشاهده پروفایل

استاد

• Power Electronics
• Electric Machines and Motor Drives
• Battery Management Systems
• +۴ مورد دیگر

Dr. Mahesh Krishnamurthy serves as the Vin and Caren Prothro Department Chair of Electrical and Computer Engineering and Professor at Southern Methodist University (SMU) in Dallas, Texas. He concurrently holds leadership roles as Co-Executive Director of the Hart Institute for Technology, Innovation and Entrepreneurship and Director of the Advanced Sustainable Power and ENergy (ASPEN) lab. Additionally, he manages the EPCN core portfolio in Power Electronics and Motor Drives as a Program Manager at the US National Science Foundation since 2021. His academic credentials include a PhD from the University of Texas at Arlington and an MS from Missouri University of Science and Technology. These foundational qualifications underpin his expertise in sustainable energy systems and electrified transportation. Dr. Krishnamurthy's research program centers on power electronics and electric machine innovation for decarbonization challenges. His laboratory investigates Li-ion battery safety through multi-physics modeling, develops motor control algorithms for renewable energy integration, and designs power converters for microgrids and electric vehicles. This work directly enables advancements in eVTOL aircraft, EV drivetrains, and grid-stable charging infrastructure. As founder of the IEEE Transportation Electrification Conference and Expo, he shapes global research directions in sustainable mobility. Recent publications reveal a strategic focus on solving critical barriers in electrified transportation and energy storage. His team pioneers synthetic data techniques for battery safety in aerial vehicles, develops fault-tolerant power converters for grid resilience, and optimizes electromagnetic components for efficiency. These efforts bridge theoretical innovation with industrial applications in automotive and aerospace sectors. His accolades include: IEEE Vehicular Technology Society Distinguished Lecturer (2011-2015) and Distinguished Speaker (2015-2021) Multiple IIT teaching awards: Armour Excellence (2017), Bauer Family University Award (2017), and Thomas Jacobius Award (2019) Best Paper Prize at 2016 IEEE Transportation Electrification Conference Endowed professorship at IIT (2023-2024) and current SMU Department Chair As Editor-in-Chief of IEEE Transactions on Transportation Electrification (2020-2023) and leader of IEEE Power Electronics Society technical committees, Dr. Krishnamurthy influences scholarly discourse while mentoring students through SMU's ECE programs. His NSF program management role connects academic research with national infrastructure priorities. The ASPEN lab he directs operates as a nexus for industry-academia collaboration, advancing sustainable power solutions through experimental validation of multi-physics models and prototype development in battery systems, motor drives, and grid-integrated converters.

• Magnetic Positioning Systems
• Battery Technology
• Electronic Measurements
• +۵ مورد دیگر

Francesco Santoni is a Postdoctoral Researcher at the Department of Engineering, University of Perugia. He holds a Master's degree in Physics (2010) from University of Perugia and a Ph.D. in Microelectronics and Telecommunications Engineering (2015) from University of Roma 'Tor Vergata'. From 2015-2017, he conducted postdoctoral research on charge transport modeling in organic semiconductors at his Ph.D. institution. Research Highlights: Magnetic positioning systems for biomedical applications Electrochemical impedance spectroscopy in battery technology Machine learning for state-of-charge estimation Mathematical modeling of organic electronic devices Uncertainty quantification in measurement systems Wireless sensing for wearable biometric systems Project Involvement: Dr. Santoni contributes to the 6 DOF Finger Tracking project, an inter-academic collaboration funded by Italy's PRIN 2015 grant. This initiative involves research groups from Perugia, Brescia, and Cassino, focusing on developing short-range wireless positioning technology for biomedical applications like data gloves. His work spans theoretical modeling, practical implementation, and interdisciplinary applications of electronic measurement systems.

• Energy Engineering
• Fluid Mechanics
• Mechanical Engineering
• +۴ مورد دیگر

Teresa Castiglione is an Associate Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. Email: teresa.castiglione@unical.it Research Interests: Her work spans energy systems, fluid mechanics, and thermal management, focusing on: Internal combustion engine optimization Renewable energy integration (wave energy, biomass gasification) Thermal management for electric vehicles and hybrid powertrains Fluid dynamic analysis of marine vessels Publications Trends: Recent articles emphasize: CFD modeling for energy systems Sustainable CCHP applications Li-ion battery thermal control Wave energy conversion technologies Hybrid fuel strategies for emissions reduction

Baran Yildizمشاهده پروفایل

پژوهشگر ارشد

• Distributed energy resource integration
• Demand response systems
• Smart home energy management
• +۵ مورد دیگر

Baran Yildiz is a Senior Research Fellow at the Centre for Energy and Environmental Markets (CEEM) and a lecturer at the School of Photovoltaic and Renewable Energy Engineering (SPREE) at the University of New South Wales. His research focuses on distributed energy systems, demand response, and smart grid integration. He holds a PhD in load forecasting & smart home energy systems from UNSW. Research interests include: Integration of distributed energy resources Demand response and side management Smart home energy systems Grid-connected PV systems Microgrids Baran leads major projects like SolarShift (RACE for 2030) and Flexible Demand Trial (ARENA), collaborating with industry partners. His work has been featured in AEMC, ESB, CRC, and media outlets. Publications highlight his expertise in solar-battery systems, EV charging emissions, water heater optimization, and grid constraint mitigation. He teaches SOLA 4012 Photovoltaic Systems Design.

Khaled Al Jaafariمشاهده پروفایل

استادیار

• Transportation electrification
• Power quality studies
• Power system protection
• +۲ مورد دیگر

Dr. Khaled Al Jaafari is an Assistant Professor in the Department of Electrical and Computer Engineering at Khalifa University's College of Engineering. He received his B.Sc. and M.Sc. in Electrical Engineering from the Petroleum Institute (Abu Dhabi) with distinction in 2006 and 2011, followed by a Ph.D. in Electrical and Computer Engineering from Texas A&M University in 2016. Ph.D., Electrical and Computer Engineering, Texas A&M University (2016) M.Sc., Electrical Engineering, Petroleum Institute (2011) B.Sc., Electrical Engineering, Petroleum Institute (2006) His research focuses on transportation electrification, power quality studies, power system protection, and electric machine design. He has contributed to innovations in DC-DC converters, predictive battery control systems, and grid-tied power electronics for renewable energy applications. Dr. Al Jaafari's recent publications demonstrate expertise in power electronics, electric vehicle systems, and control algorithms. He has co-authored works on bidirectional DC-DC converters, predictive control systems, and harmonic mitigation strategies. Sheikh Rashid Award for Outstanding Scientific Achievement (2018) ADEK Fund (Dhs 300,000) (2019) KU-KAIST Joint Research Award (Dhs 2,760,000) (2019) Virtual Research Institute Fund (Dhs 54,256,974) (2022) He has supervised students including Iehab Talal Mohamed Ahmed Suliman (MSc) and Hamdihun Abdie Dawed (PhD). His work involves collaborations through the Advanced Power and Energy Center at Khalifa University.

• Kinetic Monte Carlo
• Density Functional Theory
• Molecular Dynamics
• +۷ مورد دیگر

Manuel Gößwein is a researcher at the Technical University of Munich (TUM) , affiliated with the Associate Professorship Simulation of Nanosystems for Energy Conversion under Prof. Alessio Gagliardi. His work focuses on computational modeling of electrochemical systems and energy conversion devices. Research Interests Teaching Activities Collaborative Projects Research Areas : Gößwein specializes in developing and applying advanced computational methods including Kinetic Monte Carlo , Density Functional Theory (DFT) , and Multiscale Modeling to study energy materials and interfaces. His work addresses challenges in solid-state electrolytes , organic solar cells , and electrocatalysis , with applications in lithium-ion batteries and hybrid energy devices. Teaching Contributions : He supervises Master, Bachelor, and Diploma theses while supporting research and engineering practices at TUM.

• Organic Solar Cells
• Perovskite Solar Cells
• Electrochemical Systems
• +۳ مورد دیگر

Waldemar Kaiser is an Associate Professor at the Technical University of Munich (TUM) within the Associate Professorship of Theory of Functional Energy Materials . His research focuses on computational modeling of organic and perovskite solar cells, electrochemical systems, and multiscale simulations. Research Highlights : Charge/exciton transport in organic semiconductors Non-equilibrium thermodynamics in photovoltaic devices Defect dynamics in lead-halide perovskites Machine learning for charge transfer integrals Ion migration in electrochemical systems Publication Trends (2024–2018) show expertise in Kinetic Monte Carlo , Molecular Dynamics , and Machine Learning applied to organic electronics, perovskite solar cells, and magnetic nanomaterials. Collaborations span institutions in Germany, Italy, and France. Active Projects : DFG e-Conversion Cluster III (Solid-Solid Interfaces) TUM Innovation Network ARTEMIS EU Lion-Hearted Teaching includes supervision of Master/Bachelor theses at TUM and participation in computational photonics research.

• Electrification of Heavy Machinery
• Electric Powertrains
• Mechatronics
• +۳ مورد دیگر

Jenni Pippuri-Mäkeläinen serves as Professor of Practice in the Department of Energy and Mechanical Engineering at Aalto University, specializing in practical applications for sustainable heavy machinery electrification. Her work bridges theoretical engineering with industrial implementation across mining, construction, and transportation sectors. Her research focuses on: Electrification of off-highway vehicles and mining equipment Electric/hybrid powertrain design for heavy-duty applications Mechatronic system integration and fault diagnosis Advanced simulation of electromechanical systems She develops solutions combining finite element analysis, multibody dynamics, and experimental validation to address real-world challenges in sustainable machinery. Analysis of her 2018-2025 publications reveals increasing emphasis on holistic system integration, with recent work prioritizing mining truck electrification feasibility, bearing defect simulation for predictive maintenance, and multi-speed transmission optimization for retrofitted trucks. Her research consistently addresses the mechanical-electrical interface in sustainable powertrains. She actively contributes to the Mechatronics research group, which focuses on interdisciplinary design of electromechanical systems for industrial applications through collaborative projects with machinery manufacturers.

• Renewable Energy
• Industrial Engineering
• Energy Analytics
• +۴ مورد دیگر

Pablo Diaz Cachinero is a Visiting Professor at Carlos III University of Madrid, affiliated with the Department of Statistics and the Energy Analytics research group. His work bridges Industrial Engineering and Renewable Energy domains. Research Interests: His research focuses on integrating Electric Vehicles (EVs) into energy systems, optimizing microgrid operations with renewable resources, and analyzing transitional energy technologies. He applies advanced statistical and optimization methods to address demand uncertainty and improve grid efficiency. Publications Trends: Recent work emphasizes Virtual Power Plants (VPPs), EV operational planning, and battery degradation cost modeling. These studies appear in journals like IEEE Access, Applied Energy, and Renewable Energy. Projects: Currently leading SOLAROPIA-CM-UC3M (2024-2026): AI for solar plant integration in Spain UNIVERSIDAD CARLOS III DE MADRID (2024-2025): Uncertainty-based EV optimization Academic Mobility: Completed a predoctoral stay at Aalto University (2021) under Professor Matti Lehtonen. Maintains active co-authorship networks and is visible on platforms like Google Scholar.

• Electrical and Electronic Engineering
• Microelectronics
• Nanoelectronics
• +۷ مورد دیگر

Danilo Demarchi is Full Professor at the Polytechnic University of Turin's Department of Electronics and Telecommunications (DET). He directs the eLiONS Lab and coordinates PoliTO's Italian Institute of Technology Microelectronics Group. As pioneer in wearable plant sensors and AgriFood electronics, he bridges microelectronics with agriculture and biomedical applications. IEEE Senior Member Founder & Editor-in-Chief: IEEE Transactions on AgriFood Electronics General Chair: IEEE BioCAS (2017), IEEE CAFE (2023) Research spans smart systems for: Precision agriculture (IoT, plant health monitoring) Biomedical devices (implantables, wearables) Low-cost electronics Molecular electronics His 350+ publications focus on bio-inspired architectures integrating microsystems with physiological applications, while leading EU and PNRR projects like FERNS and ATHOS. Scientific leadership includes: Coordinating 5 EU projects Founding 2 IEEE conferences Editorial roles in 4 IEEE journals Current PhD students explore topics from plant bioimpedance to pilot workload monitoring, supported by his 5 granted patents and extensive industry collaborations.