جست‌وجوی استاد و پژوهشگر

Daniel S. Bergerمشاهده پروفایل

استادیار مدعو

• Cloud Computing
• Sustainability
• System Reliability
• +۷ مورد دیگر

Daniel S. Berger is a Principal Researcher at Microsoft's Azure Systems Research Group in Redmond, focusing on the efficiency, sustainability, and reliability of cloud platforms . He is also an Affiliate Assistant Professor at the Paul G. Allen School of Computer Science at the University of Washington, where he teaches graduate classes. His research spans systems stack innovations for sustainability , including work on memory tiering , repair operations , and cooling systems (Zissou). He leverages system prototyping , simulation , and statistical modeling in his work, often collaborating with PhD students and postdocs from institutions like Columbia, University of Toronto, CMU, and Princeton. Recent publications highlight his leadership in CXL-based memory management , carbon-efficient cloud design , and latency-aware caching . His tools, such as Belatedly and FOO , have demonstrated significant improvements in cache performance and latency optimization. Best Paper Awards: USENIX OSDI 2023, HotCarbon 2023, ACM SOSP 2021. Distinguished Paper: ASPLOS 2023. His work has been integrated into Apache Traffic Server and Microsoft production systems , with open-source tools and datasets released for reproducibility. Collaborations include hardware and OS development teams within Azure and academia.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +۵ مورد دیگر

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

• Thermophysical Properties of Fluids
• Carbon Dioxide Capture and Storage
• Hydrogen Production and Storage
• +۵ مورد دیگر

Professor Martin Trusler is a Professor of Thermophysics in the Department of Chemical Engineering at Imperial College London, within the Faculty of Engineering. His affiliations include the Clean Fossil and Bioenergy Group, Energy Futures Lab, Institute for Molecular Science and Engineering, and Thermophysics Laboratory. He holds a BSc (1st class honours) and PhD in Physical Chemistry from University College London (1977–1984). His career spans over three decades at Imperial College, progressing from Lecturer (1988) to Senior Lecturer (1995) before his current professorial role since 2001. Research interests focus on thermophysical properties of fluids, particularly in carbon capture, hydrogen storage, and energy systems. Key areas include phase behavior of CO2 and hydrogen mixtures, interfacial properties of reservoir minerals, and fluid dynamics under extreme conditions. His work integrates experimental measurements with computational modeling to improve understanding of energy and environmental processes. Publications emphasize experimental methodologies and theoretical frameworks for fluid behavior, with recent emphasis on CO2 mineralization, hydrogen infrastructure, and subsurface storage solutions. His contributions address challenges in climate mitigation technologies and energy transition systems. Labs/Teams: Active in the Thermophysics Laboratory and collaborates with interdisciplinary groups at Energy Futures Lab and the Institute for Molecular Science and Engineering. His research supports industrial partnerships in clean energy innovation.

• Data Management
• Social Media Analysis
• User Behavior Analysis
• +۴ مورد دیگر

Dr. Ying Zhou is a Lecturer in the School of Computer Science at The University of Sydney. She holds a BSc and MEng from Nanjing University (1997) and a PhD from the School of Computing at the National University of Singapore (2003). Her research focuses on human-centred data management, including large-scale data storage, user behavior analysis, and improving image query systems. Current projects include mining socially tagged images and accountability mechanisms for multitenant cloud platforms. Teaching responsibilities include courses on Advanced Data Models (COMP5338), e-Commerce Technology (COMP5347), and Cloud Computing (COMP5349). She collaborates with industry partners like Amazon and IBM, and advises four research students. She is a member of the Sydney Southeast Asia Centre. Her publication record spans 20 years, with recent work emphasizing machine learning applications, big data systems, and cloud security. Research trends include optimizing distributed computing frameworks (Hadoop/Spark/Flink), adversarial machine learning, and trustworthy database systems. Earlier work focused on social network analysis, web communities, and blogosphere dynamics. Current research projects address both technical challenges (e.g., efficient image search, cloud platform accountability) and applied solutions for leveraging social media data. Her lab activities involve interdisciplinary collaboration between computer science and information systems domains.

Ramesh Adhikariمشاهده پروفایل

استادیار

• Bio-based Electronics
• Sustainable Materials
• Nanoscale Surfaces
• +۵ مورد دیگر

Ramesh Adhikari serves as an Assistant Professor of Physics in the Department of Physics and Astronomy at Colgate University. His research focuses on developing sustainable electronic materials derived from biological sources, particularly exploring the electronic and surface properties of leaves and peptide-based nanostructures for applications in biodegradable devices. Dr. Adhikari's research interests center on sustainable electronics using bio-based materials that offer novel structural and functional properties with lower environmental impact. His lab, the Nanoscale Surfaces & Bio-based Electronics Laboratory, pursues two main research directions: studying aromatic amino acid-based nanostructures and developing leaf-based electronics for applications including wires, supercapacitors, and resistive memory devices. His work bridges materials science, nanotechnology, and environmental sustainability. Analysis of his 15 most recent publications reveals a consistent focus on sustainable electronic materials derived from biological sources. His research demonstrates how natural materials like leaves and amino acid structures can be engineered for electronic applications while maintaining biodegradability. The publications span multiple high-impact journals in materials science, nanotechnology, and sustainable energy, showing interdisciplinary collaboration with students and researchers across institutions. Dr. Adhikari has successfully mentored numerous undergraduate researchers, many of whom have gone on to prestigious graduate programs at institutions including Northeastern University, Georgetown University, University of Illinois Urbana Champaign, and University of Pennsylvania. His research has been supported by various internal and external funding sources, though specific awards aren't listed on his website. He teaches a diverse range of physics courses at Colgate University, from introductory courses like Electricity & Magnetism to advanced topics including Electromagnetism and Quantum Mechanics. His teaching philosophy emphasizes active learning pedagogical methods such as interactive demonstrations, think-pair-share, peer instruction, and collaborative problem-solving to make physics more accessible and engaging for all students.

Longbing Caoمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Professor Longbing Cao serves as a Professor at University of Technology Sydney (UTS) in the Faculty of Engineering and Information Technology, specifically within the Data Science Institute. He also holds the position of Distinguished Chair Professor in AI at Macquarie University and is an ARC Future Fellow (Level 3). As a pioneering researcher in AI, data science, and advanced analytics, Professor Cao founded the UTS Advanced Analytics Institute, the first data science initiative in Australia. Professor Cao's research interests span across data science fundamentals, machine/deep learning, behavior informatics, and enterprise data science applications. His work bridges the gap between theoretical research and practical implementation, focusing on non-IID learning, actionable knowledge discovery, and complex behavior modeling. His research has addressed real-world challenges in government services, finance, insurance, banking, telecommunications, transport, and e-commerce sectors. His 15 most recent publications reveal a strong trend toward addressing distributional challenges in machine learning, developing transdisciplinary AI approaches, modeling complex temporal dependencies, and advancing negative sequence analysis. His work consistently integrates theoretical foundations with practical applications, particularly in financial analytics, healthcare, and disaster resilience. Scientific Awards: Eureka Prize for Excellence in Data Science (2019) ACM Distinguished Scientist Professor Cao has made significant contributions to academic leadership and research supervision. He established world-first research degrees at UTS (Master of Analytics and PhD Thesis: Analytics), founded the IEEE Task Force on Data Science and Advanced Analytics, and served as general chair of the KDD conference in 2015 (the first edition in Australia). His funded research portfolio includes multiple ARC grants and industry collaborations focusing on complex data analytics, behavior informatics, and AI applications. He leads the Data Science Lab at UTS, which has become a prominent center for data science research in Australia. The lab focuses on developing fundamental theories and practical applications of data science, with strong industry partnerships that translate research into real-world impact. Professor Cao's leadership in establishing the annual Big Data Summit in 2012 created Australia's first platform for bridging academic research with industry and government applications.

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +۳ مورد دیگر

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

Kim Kiseokمشاهده پروفایل

استادیار

• Geologic Carbon Storage
• Reservoir Geomechanics
• Rock-Fluid Interaction
• +۳ مورد دیگر

Kim Kiseok is an Assistant Professor in the Department of Petroleum Engineering at Texas A&M University, holding the Class of ’75 DVG Development Professorship. His research focuses on geologic carbon storage, rock-fluid interactions in geo-energy systems, and reservoir geomechanics. He leads projects addressing CO2 sequestration safety, caprock integrity, and subsurface fluid-rock dynamics. Education: Ph.D., Civil Engineering, University of Illinois at Urbana-Champaign (2022) M.S., Civil, Environmental, and Architectural Engineering, Korea University (2017) B.S., Civil, Environmental, and Architectural Engineering, Korea University (2015) Research Interests : Combines experimental and computational methods to study CO2 storage mechanisms, rock deformation under fluid injection, and long-term reservoir stability. Key themes include geomechanical response modeling, fluid-rock interaction dynamics, and geobarrier engineering for enhanced carbon sequestration. Key Article Trends : Recent work emphasizes CO2-induced rock behavior, caprock integrity under pressure, and coupled hydro-mechanical-chemical processes in subsurface reservoirs. Studies span simulation-based geobarrier design, laboratory experiments on mudrock permeability, and thermal effects on shale in nuclear waste contexts. Awards & Grants : No awards explicitly mentioned, but his work is supported by grants focusing on geologic storage innovation and reservoir engineering challenges. Labs & Teams : Leads the Texas A&M Geomechanics & Carbon Storage Lab, collaborating with industry partners on subsurface fluid management solutions.

• Mycotoxicology
• Food Safety
• Microbiome Research
• +۳ مورد دیگر

Dr. Chibundu Ngozi Ezekiel is a Senior Researcher at the Institute of Bioanalytics and Agro-Metabolomics within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). Previously, he served as Professor and Associate Professor of Food Microbiology and Mycotoxicology at Babcock University, Nigeria (2018-2022) and held roles at the Food and Agriculture Organization of the United Nations. Education: Ph.D. in Mycology/Mycotoxicology (University of Ibadan, 2009-2013), M.Sc. in Microbiology (University of Ibadan, 2005-2007), B.Sc. in Microbiology with First Class Honours (Babcock University, 2000-2004) Research Interests: Focus on mycotoxin contamination in food systems, microbiome interactions in agricultural products, and food safety in sub-Saharan Africa. Key areas include dietary exposure assessment, probiotic applications for toxin reduction, and molecular characterization of fungal communities. Recent Research Trends: His 15 most recent publications (2024-2025) span mycotoxin biomonitoring in infants, probiotic strain genomics, cereal contamination analysis, and microbiome-exposome interactions. Studies emphasize analytical methodologies (LC-MS/MS, MALDI-TOF), global health implications, and risk assessment frameworks. Scientific Awards & Fellowships Brigitte Gedek Science Award for Mycotoxin Research (2023) Top 50 Food Safety Expert Globally (2023) No. 2 Food Safety Expert in Africa (2021-2023) EU MycoRed Fellowship (2010) Babcock University First Class Graduate Assistantship (2005) Academic Service: Editorial Board Member for Mycotoxin Research (2023), Associate Editor for Frontiers in Sustainable Food Systems (2019), and reviewer for 20+ journals including Food Control , Environment International , and World Mycotoxin Journal . Active in EU-China-Safe and FoodSafeR advisory boards.

• Heat Transfer
• Refrigeration Technology
• Energy Efficiency in Buildings
• +۳ مورد دیگر

Artur Rusowicz is a Professor at the Faculty of Power and Aeronautical Engineering , Warsaw University of Technology , specializing in the Department of Refrigeration and Building Energy . His research focuses on heat and mass transfer in refrigeration systems, free cooling technologies, plasma coatings, and entropy generation minimization in thermal systems. Key Roles: Prodziekan ds. ogólnych (since 2016), former advisor for the Student Scientific Association of Refrigeration Engineers (until 2017), Editor-in-Chief of Chłodnictwo magazine, and expert for the International Institute of Refrigeration (IIR) in Paris. Projects: Led national and international research on refrigeration, heat recovery, and plasma waste destruction, including grants from KBN, MNiSW, and Warsaw Technology Incubator. Scientific Contributions: Authored 15+ publications in leading journals like Energy , Thermal Science , and Przemysł Chemiczny , addressing thermal optimization, refrigeration cycles, and sustainable energy systems. 2020: Optimized microjet cooling systems for data centers using CFD. 2019: Refrigerant selection for Organic Rankine Cycles with environmental impact analysis. 2017: Thermoacoustic refrigeration performance evaluation. Awards: Recipient of the Rector's Award (II Class) for scientific achievements (2017, 2012) , Golden SIMP Medal (2014) , and Bronze Medal for Long Service (2012) . Also recognized for mentorship in student thesis competitions. Editorial & Organizational Roles: Served as Editor-in-Chief of Chłodnictwo , head of Warsaw SIMP Refrigeration and Air Conditioning Section, and expert in numerous scientific committees.

• Renewable Energy
• Sustainable Energy Access
• Biomass Conversion
• +۳ مورد دیگر

Clementine Chambon is a Visiting Researcher in the Department of Chemical Engineering at Imperial College London, affiliated with the Energy Futures Lab and the Grantham Institute for Climate Change. She is also the full-time co-founder and CTO of Oorja Development Solutions, a social enterprise providing solar-powered irrigation and milling systems to rural Indian farmers, serving over 30,000 people. Her research focuses on decentralized energy systems, biomass gasification, solar PV integration, and CO₂ mitigation in energy-deprived regions. Education: PhD in Chemical Engineering (Imperial College London, 2017), supervised by Dr. Jason Hallett, Prof. Paul Fennell, and Dr. Anthe George, with a focus on lignocellulosic biomass processing using low-cost ionic liquids. Awarded a First Class MEng in Chemical Engineering from the University of Cambridge. Research Interests: Energy access optimization, renewable energy systems design (solar, biomass), techno-commercial modeling of mini-grids, and sustainable biomass valorization. Her work bridges academia and industry, emphasizing practical solutions for energy poverty reduction and climate resilience. Publications highlight advancements in solar mini-grid economics, biomass pretreatment methodologies, and ionic liquid applications. Awards include recognition from Forbes 30 Under 30 and MIT for her entrepreneurial impact in clean energy. Awards: Cisco Global Problem Solver Challenge Award, Echoing Green Climate Fellowship, 60 Decibels Top Impact Award, and multiple industry accolades. Grants: EPSRC Doctoral Prize Fellowship, Imperial College President’s PhD Scholarship, and funding from the Grantham Institute and Climate-KIC. She leads Oorja’s efforts in scaling solar irrigation systems, combining technical innovation with social enterprise models.

Sarah Harrisمشاهده پروفایل

استاد

• Computer Architecture
• FPGA Design
• RISC-V Systems
• +۳ مورد دیگر

Sarah Harris is Professor and Undergraduate Coordinator in the Department of Electrical and Computer Engineering at University of Nevada, Las Vegas. Her research focuses on computer architecture education, FPGA-based systems, and hardware implementations of neural networks. Research areas include: RISC-V architecture education tools FPGA-based hardware design Embedded AI systems Computer engineering pedagogy Her publication portfolio shows strong focus on educational innovation with 7 publications (2021-2024) on RISC-V teaching tools and MOOCs, alongside hardware implementations of neural networks and contributions to bioinformatics tools. Earlier work includes digital design fundamentals and memory systems.

Richard Guy Comptonمشاهده پروفایل

استاد

• Electrochemistry
• Chemical Sensors
• Nanoscience
• +۳ مورد دیگر

Richard Guy Compton is a Professor of Chemistry at the University of Oxford and Aldrichian Praelector. He has held academic positions since 1981, including Tutorial Fellow at St John's College, Oxford. His research focuses on electrochemistry, sensors, and nanoscience. Compton earned his B.A. (1st Class Honours in Chemistry) and D.Phil. from Oxford University. He is a founding editor of Electrochemistry Communications and has authored influential textbooks like Understanding Voltammetry . His honors include the Khwarizmi Award (2014), Thomson Reuters Highly Cited Researcher distinction, and multiple medals from the Royal Society of Chemistry. Compton has secured an ERC Advanced Grant for 'Nano-impacts' research and holds honorary professorships in China and Ukraine. His work bridges fundamental electrochemistry with applied sensor technologies, contributing to energy storage and biomedical applications.

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.

• Fluid Mechanics
• Multiphase Flows
• Particle Technology
• +۴ مورد دیگر

Dr. Elham Doroodchi is an Associate Professor in the School of Engineering at the University of Newcastle, specializing in Chemical Engineering. Her research focuses on fluid mechanics, multiphase systems, and energy technologies, with notable contributions to microfluidics and industrial applications. She has secured $2.9 million in research funding and published extensively in peer-reviewed journals and conferences. Education : PhD, University of Newcastle (2005) Bachelor of Engineering (Chemical Engineering), University of Newcastle (1st Class Honours) Research Interests : Dr. Doroodchi’s work spans fluidized bed hydrodynamics, particle technology, and energy systems such as geothermal power and waste heat recovery. Her recent studies include novel power cycles for geothermal energy and microfluidic applications in medicine and engineering. Grants & Awards : $2.9M total funding secured ARC College of Experts member (assesses Discovery Projects) Awards: Newcastle University Dean’s Medal (2000), Institution of Chemical Engineers Prize (2000), and National Award (2005) for the Reflux Classifier development Labs & Teams : Active in collaborative projects with Behdad Moghtaderi and others, focusing on energy storage, microreactors, and multiphase flow modeling.