جست‌وجوی استاد و پژوهشگر

• Thermal Energy Storage
• Phase Change Materials (PCM)
• District Heating and Cooling Systems
• +۳ مورد دیگر

Viktoria Martin is a Professor of Energy Technology at KTH Royal Institute of Technology, specializing in thermal energy storage systems, particularly phase change materials (PCMs). Her research focuses on integrating sustainable energy solutions, such as renewable energy alternatives (e.g., solar heating) and optimizing district heating/cooling networks. She leads a research team with over 15 years of experience in PCM-based storage technologies, emphasizing compact, efficient systems that enhance energy efficiency in buildings and industrial processes. Her work often involves collaborations with international research institutes and industries. Her research interests span thermal energy storage design, industrial surplus heat utilization, and sustainable energy systems. She explores strategies to mitigate climate change through innovations like distributed cold storage in district cooling systems, energy efficiency in low-temperature district heating, and the integration of biowaste valorization into energy networks. Her studies also address socio-technical transitions and policy frameworks for sustainable development. Key trends in her publications include the optimization of thermal energy storage systems for urban and industrial applications, the role of PCMs in enhancing energy efficiency, and the analysis of energy-water-land interdependencies in Africa. She has contributed to modeling frameworks for energy system transitions and techno-economic assessments of novel storage technologies. Her work has implications for smart cities, renewable energy integration, and decarbonization strategies. Collaborations with global partners highlight her commitment to bridging academic research with industrial and policy applications.

Tucker Carringtonمشاهده پروفایل

استاد

• Quantum Chemistry
• Spectroscopy
• Computational Molecular Science
• +۴ مورد دیگر

Tucker Carrington is a Full Professor in the Department of Chemistry at Queen's University, Kingston. He holds a cross-appointment in the Department of Physics, Engineering Physics and Astronomy within the Faculty of Arts and Science. His research focuses on developing computational methods for studying molecular vibrations and chemical reactions using quantum mechanics. Carrington earned his BSc from the University of Toronto (1981) and PhD from the University of California, Berkeley (1985). His research interests include quantum dynamics, potential energy surface construction, and applications of neural networks in chemistry. He leads projects on anharmonic vibrational spectra, van der Waals systems, and high-dimensional ab initio calculations. Current supervision includes postdoctoral researcher Robert Wodraszka. Key contributions involve iterative eigensolver methods, Smolyak interpolation, and rectangular collocation algorithms. His work bridges computational chemistry with experimental spectroscopy, addressing challenges in molecular energy levels and reaction dynamics. Affiliated with the Canada Research Chair in Computational Quantum Dynamics, he collaborates internationally and publishes in top journals like Journal of Chemical Physics and Physical Review . His research impacts drug design, energy storage, and climate science through advanced computational techniques.

Blagoja Markovskiمشاهده پروفایل

استادیار

• Electromagnetic Compatibility
• Power Systems Engineering
• Lightning Protection
• +۳ مورد دیگر

Blagoja Markovski is an Assistant Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje. He holds a PhD (2019), MSc (2012), and BSc (2009) in Electrical Engineering from FEIT. His research focuses on electromagnetic compatibility, grounding systems analysis, lightning protection, and power systems engineering. He has contributed to projects assessing electromagnetic impacts on infrastructure and public exposure to electromagnetic fields from energy equipment. His work emphasizes the analysis of grounding systems under lightning and transient conditions, with applications in transmission lines, wind turbines, and pipelines. He has developed novel methodologies for efficient grounding system analysis using circuit models, GPU parallelization, and analytical approximations. His recent studies include optimizing grounding configurations for communication towers and evaluating human exposure near high-voltage systems using finite-element methods. Collaborations span international conferences and industry projects, addressing challenges in electromagnetic compatibility and renewable energy systems. His publications span IEEE journals and conferences, focusing on grounding systems, lightning protection, and computational electromagnetics.

Jean Carlos Hernandez-Mejiaمشاهده پروفایل

پژوهشگر

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

Dr. Jean Carlos (J.C.) Hernandez-Mejia is a Senior Research Engineer at the National Electric Energy Testing, Research, & Applications Center (NEETRAC) within Georgia Tech's School of Electrical and Computer Engineering (ECE). His work focuses on power system reliability, asset management strategies, and energy conservation. Previously, he held a tenured professorship at the University of the Andes in Venezuela, where he taught, conducted research, and advised students in power systems engineering. Dr. Hernandez-Mejia earned his bachelor’s degree (Summa Cum Laude) in Electrical Engineering from the University of the Andes (2000), followed by a Master’s (2005) and Ph.D. (2008) in ECE from Georgia Tech, supported by an OAS-LASPAU scholarship. His research spans cable diagnostics, optimization techniques, and smart grid technologies, with 2,800+ citations and 32 industry-relevant reports. His articles highlight advancements in power system reliability, including cable defect analysis, SVC optimization, and smart inverter applications. He has been invited as an expert speaker at six conferences and collaborates closely with utilities and manufacturers across North America. Awards: OAS-LASPAU Scholarship (2003) Advising: Led curricular development and student mentoring at the University of the Andes Grants/Collaborations: NEETRAC-funded projects, industry partnerships with 13 manufacturing companies and 140+ utilities Labs/Teams: NEETRAC (Georgia Tech), University of the Andes Electrical Engineering Lab

Andrew F. Petersonمشاهده پروفایل

استاد

• Computational Electromagnetics
• Antennas & Microwave Devices
• Electromagnetic Compatibility
• +۳ مورد دیگر

Andrew F. Peterson is a full Professor at the School of Electrical and Computer Engineering, Georgia Institute of Technology. He holds degrees from the University of Illinois, Urbana-Champaign (B.S., M.S., Ph.D. in Electrical Engineering). His research focuses on computational electromagnetics, antenna design, and electromagnetic compatibility. He has authored numerous publications on numerical methods, integral equations, and antenna array optimization. Peterson is a Fellow of IEEE and has received the IEEE Third Millennium Medal. He has held leadership roles, including President of the IEEE Antennas and Propagation Society (2006) and Chair of the IEEE Atlanta Section (2002-2003). His educational background includes a rigorous academic trajectory: B.S. (1982), M.S. (1983), and Ph.D. (1986) in Electrical Engineering from UIUC, followed by a Visiting Assistant Professorship there until 1989. He joined Georgia Tech in 1989, where he teaches electromagnetic field theory, antennas, and computational electromagnetics. Research interests span computational electromagnetics with applications to radar signatures, signal integrity in electronic packaging, and antenna design. Notable contributions include advancements in error estimation techniques for integral equations, reflectarray antennas, and machine learning-driven design automation. Publications emphasize numerical methods for electromagnetic problems, such as the EFIE and MFIE formulations, and explore topics like SAR estimation, crosstalk mitigation, and high-frequency via characterization. His work bridges theoretical rigor with practical engineering challenges in satellite communications and biomedical applications. Awards: IEEE Fellow, Third Millennium Medal, NSF Young Investigator Award Leadership: AP-S President (2006), IEEE Atlanta Section Chair (2002-2003) His research groups focus on high-accuracy numerical methods and antenna technologies, with applications in aerospace, telecommunications, and biomedical systems.

Aimaro Sannaمشاهده پروفایل

دانشیار

• Bioenergy
• Waste Valorization
• Catalysis
• +۶ مورد دیگر

Dr. Aimaro Sanna is an Associate Professor in Chemical and Process Engineering at Heriot-Watt University's School of Engineering & Physical Sciences. His research focuses on catalytic systems for biofuel production, waste valorization, and CO2 capture technologies. He holds a PhD from the University of Nottingham and has extensive experience in clean fossil fuel technologies and catalytic reactor design. Research interests include advanced biofuels, catalytic membrane reactors, mineral carbonation, and thermochemical conversion of biomass and organic wastes. He leads the Advanced Biofuels Lab ( www.advancedbiofuelslab.com ), collaborating with industries to develop sustainable processes. He serves as Associate Editor for the Journal of CO2 Utilization and is a member of university disciplinary committees. His work contributes to UN Sustainable Development Goals related to affordable clean energy and climate action. Awarded the 2024 'World Top 2% Scientist' recognition, his research spans 91 publications. Key areas include CO2 capture via solid sorbents, catalytic pyrolysis of lignin, and green hydrogen production using novel photocathode materials.

• Parallel and Distributed Computing
• Database Systems
• Network-Centric Computing
• +۲ مورد دیگر

Professor Ajit Singh is a faculty member in the Department of Electrical and Computer Engineering at the University of Waterloo , affiliated with the Faculty of Engineering . His expertise spans Parallel and Distributed Computing , Database Systems , Network-Centric Computing , and Software Architecture and Design . Education: BSc (BIT, India) MPhil (Jawaharlal Nehru University, New Delhi) MSc and PhD (University of Alberta) Research & Industrial Work: Founded SlipStream Data (acquired by Research in Motion/BlackBerry) to accelerate internet content delivery on low-bandwidth networks. Consulted for IBM Canada, Bell Canada, Nortel, and other tech firms. Current projects include Energy Efficient Mobile Computing and Processing Data Streams . Advising & Students: Current advisees: Liton Chakraborty, Mohammad Mursalin Akon, Rajesh Palit, Tan Wang. Past students include Dhrubajyoti Goswami, Afzal Mawji, and others. Research Themes: Focuses on scalable caching, distributed systems, and energy-efficient computing. Explores disk-based optimization for stream joins and parallel architectures.

Ali José Mashtizadehمشاهده پروفایل

دانشیار

• Operating Systems
• Distributed Systems
• Storage Systems

Ali José Mashtizadeh is an Associate Professor at the Cheriton School of Computer Science, University of Waterloo. His research focuses on operating systems, distributed systems, and storage, with expertise in system reliability, network optimization, and concurrent programming. Education: Ph.D., Computer Science, Stanford University (2017) M.S., Computer Science, Stanford University (2017) M.Eng., Electrical Engineering and Computer Science, MIT (2007) B.S., Electrical Engineering, MIT (2006) His research centers on designing scalable and reliable systems, with recent publications exploring TCP network frameworks, in-memory data persistence, and microsecond-scale scheduling. Key themes include optimizing tail latency, neutralization-based memory reclamation, and fault-tolerant distributed services. His articles consistently demonstrate innovations in low-latency networking, operating system architecture, and cloud infrastructure, with recent emphasis on serverless benchmarks and processor customization. No scientific awards or advising relationships are detailed in the provided materials.

Eric R. Fossumمشاهده پروفایل

استاد

• Solid-State Image Sensors
• CMOS Active Pixel Sensors
• Quanta Image Sensors
• +۴ مورد دیگر

Eric R. Fossum is the John H. Krehbiel Sr. Professor for Emerging Technologies at the Thayer School of Engineering at Dartmouth College. He serves as Vice Provost for Entrepreneurship and Technology Transfer and Director of Dartmouth's PhD Innovation Program. As one of the world's leading experts in solid-state image sensors, he invented the CMOS active pixel sensor technology that revolutionized digital imaging in smartphones, medical devices, and automotive systems. His work has earned him numerous accolades, including the National Medal of Technology and Innovation (2025) and the Queen Elizabeth Prize (2017). His research interests focus on: Solid-state image sensors (CCDs, CMOS active pixel sensors, Quanta Image Sensors) Advanced imaging systems and on-chip processing New applications for image sensors in medicine, security, and space Dr. Fossum's recent publications demonstrate significant advancements in: Photon-counting sensors for low-light applications High-speed imaging for microscopy and radiography Backside-illuminated and sub-diffraction-limit pixel designs Quantum random number generation using sensor technology Infrared spectral extension of CMOS sensors His scientific awards include: National Medal of Technology and Innovation (2025) Queen Elizabeth Prize for Engineering (2017) IEEE Andrew S. Grove Award (2009) Induction into National Inventors Hall of Fame (2011) Emmy Award for Technology & Engineering (2021) Doctor of Science, Honoris Causa from Trinity College (2014) As an entrepreneurial leader, Dr. Fossum has: Co-founded Gigajot Technology with former PhD students Previously led Photobit and Siimpel Corporations Active participant in technology transfer initiatives at Dartmouth Founder and Past President of the International Image Sensor Society

• Power Electronics
• Electronics Engineering
• Semiconductor Devices
• +۳ مورد دیگر

Prof. Dobroslav Danailov Dankov is a leading academic and researcher at the Department of Electronics, Technical University Gabrovo. He holds a Doctoral degree in Technical Sciences and serves as department head. His primary affiliation is within the Faculty of Electrical Engineering and Electronics, specializing in power electronics, semiconductor devices, and industrial automation. His research focuses on high-efficiency power conversion, wide-bandgap semiconductors (SiC/GaN), induction heating systems, and reliability engineering. Notable projects include modernization of technical education facilities, development of electric vehicles, and energy-efficient electronic converters. He leads over 20 scientific projects, including EU-funded initiatives under 'Smart Growth' and national grants. Dr. Dankov has authored 9 books and 101+ publications, emphasizing topics like GaN transistor applications, power supply reliability, and inverter design. His work spans international conferences (IEEE, PCIM) and peer-reviewed journals. He advises 3 PhD students and actively contributes to academic curriculum development in electronics engineering. Key achievements include pioneering studies on SiC/GaN transistor integration, high-frequency induction systems, and failure rate modeling in power electronics. His research bridges theoretical models with practical industrial applications, advancing energy efficiency and system reliability in modern electronics.

Francis Gacengaمشاهده پروفایل

پژوهشگر

• Research Data Management
• IT Service Management
• Design Science
• +۳ مورد دیگر

Dr. Francis Gacenga, currently at the University of Southern Queensland (UniSQ), serves as a Senior Digital Research Advisor in the Research Infrastructure Admin department. He is affiliated with the Centre for Sustainable Agricultural Systems and Institute for Advanced Engineering and Space Sciences. PhD in Information Systems (USQ, 2013) MBA (University of Nairobi, 2000) Graduate Diploma in MIS (University of Greenwich, 2003) BA(Hons) from Kenyatta University (1997) With over 20 years of experience in IT and academic research, Dr. Gacenga specializes in Research Data Management (RDM), IT Service Management (ITSM), Digital Research Infrastructure, and Design Science. His work focuses on applying FAIR (Findable, Accessible, Interoperable, Reusable) data principles to agricultural and environmental domains. The 15 most recent publications reveal a trajectory from foundational ITSM research (2010-2016) to agricultural data platforms (2019-2024). Key themes include FAIR data implementation, cloud computing integration, reproducible research frameworks, and cross-disciplinary agricultural applications. Senior Member of Australian Computer Society (since 2009) Former Chair of ACS Toowoomba Chapter As Principal Investigator for grants totaling over $500k from GRDC, Soils CRC, and ARDC, he leads digital infrastructure projects. He also supervises Doctoral candidates and contributes to national cybersecurity and data policy committees.

• Cloud Computing
• Distributed Systems
• Data Processing
• +۴ مورد دیگر

Luis Antunes Veiga is an Associate Professor and Senior Researcher at INESC-ID Lisbon, affiliated with the Distributed Systems Group and the Computing Systems and Communication Networks Laboratory. His research focuses on Cloud Computing, Edge Computing, Distributed Systems, and Big Data processing. He teaches courses such as 'Cloud Computing and Virtualization' and 'Operating Systems, Virtualization and Cloud Computing.' His work emphasizes scalable systems, network-aware workflows, and resource-efficient data processing. Research Interests: His primary areas include distributed systems architectures, edge computing frameworks, graph processing algorithms, and software-defined systems. He explores topics like latency-aware network design, resource auction mechanisms for edge environments, and interoperable service workflows. His contributions span theoretical frameworks and practical implementations, such as the RATEE system for edge resource trading and the VeilGraph incremental graph processing framework. Publications: His recent work addresses challenges in distributed systems, such as elastic scaling of stream processing, efficient graph processing in Spark, and latency optimization in internet-scale workflows. These publications reflect a trend toward integrating software-defined approaches with edge and cloud infrastructures. Notable Awards: Best Young Researcher INESC-ID, Excellence in Teaching (IST 2012), and a Best-Paper Award at ACM/IFIP/Usenix Middleware 2007. Labs & Teams: Active in the Computing Systems and Communication Networks Laboratory, leading projects on edge computing and distributed systems.

• Energy Storage
• Materials Science
• Electrochemistry
• +۳ مورد دیگر

Jiwei Wang is a Research Fellow in the Department of Mechanical and Industrial Engineering at Northeastern University . His research focuses on advanced energy storage systems, particularly solid-state batteries, nanomaterials, and 3D printing applications in battery design. He explores topics such as electrode engineering, electrolyte stability, and novel battery architectures to enhance energy density and cycle life. His work emphasizes interdisciplinary approaches, combining materials science, electrochemistry, and additive manufacturing. Key themes include sulfur-based cathodes, nickel-rich cathode stabilization, and chiral sensing materials for battery components. He has contributed to innovations like porous garnet/gel electrolytes and free-standing air electrodes for sodium-oxygen batteries. Publications span from 2019 to 2025, highlighting advancements in solid-state battery mechanisms, 3D-printed electrodes, and multielectron redox reactions. Current efforts aim to address challenges in anode-free designs and proton-insertion dynamics in aqueous systems.

• Electrochemistry
• Materials Science
• Energy Storage
• +۳ مورد دیگر

Dr. Zihan Song is a Postdoctoral Researcher at the University of Oxford's Department of Engineering Science, collaborating with Prof. Paul Shearing. His research focuses on electrochemistry and materials science for energy storage, particularly high-energy anode materials and multiscale characterizations (e.g., X-ray imaging) in solid-state batteries. He holds a BEng in chemical engineering from Tianjin University (2015) and a PhD from the University of Chinese Academy of Sciences (2020), specializing in anode materials for lithium-ion batteries. From 2021 to 2023, he researched carbon nitride and carbonaceous materials for rechargeable batteries at the Max Planck Institute of Colloids and Interfaces under Prof. Markus Antonietti. His current projects include multiscale characterizations for solid-state batteries. He is affiliated with the ZERO Institute and contributes to the field of sustainable energy storage.

• Solar-driven (photo)electrochemical energy conversion
• Earth-abundant catalysts
• Scalable electrolyser technology
• +۴ مورد دیگر

Dr. Doudou Zhang is a Macquarie University Research Fellow (MQRF) in the School of Engineering, affiliated with the Transforming Energy Markets Research Centre and the Centre for Applied Artificial Intelligence. She holds a PhD in Materials Science from Shaanxi Normal University (2018) and has conducted research at UNSW and ANU. Her research focuses on solar-driven (photo)electrochemical energy conversion, low-cost catalysts, and scalable electrolyser technologies. She has supervised multiple PhD and master’s students, including current advisees Abhishek Vijayan K and Shane Hustwayte. Dr. Zhang has received prestigious awards such as the MQRF (2023) and Best Oral Presentation (2024). She contributes to teaching roles like convenor of ENGG8405 and co-lecturer in MECH3005. Her projects include AI-driven catalyst engineering and solar energy systems. She actively participates in academic leadership, serving as ECR Representative for the School of Engineering and organizing international conferences. Education: PhD (Materials Science, Shaanxi Normal University, 2018), Master’s (Materials Science & Engineering, 2014), Bachelor’s (Polymer Materials, 2012) Research Interests: Electrochemical reaction engineering, functional thin films, renewable energy conversion Projects: 2025 AI-driven catalyst project, 2024 Idea Pitch Her work bridges fundamental materials science with applied energy solutions, emphasizing sustainability and scalability. Recent publications highlight advancements in perovskite solar cells, Ni-based catalysts, and photoelectrochemical systems.