جستجوی استاد راهنمای دانشگاهی

Baikun Liمشاهده پروفایل

استاد

• Biological wastewater treatment
• Bioenergy production
• Environmental biotechnology
• +۳ مورد دیگر

Baikun Li serves as a Professor in the School of Civil and Environmental Engineering at the University of Connecticut's College of Engineering, where he conducts pioneering research at the intersection of environmental engineering and advanced sensing technologies. His work addresses critical global challenges in water security and sustainable resource management through innovative technological solutions. His educational foundation includes a Ph.D. earned from the University of Cincinnati in 2002, establishing the technical expertise that underpins his current research trajectory. Professor Li's research program centers on four interconnected domains with significant environmental impact: Biological Wastewater Treatment : Developing next-generation biological processes that enhance treatment efficiency while reducing energy consumption and sludge production. Bioenergy Production : Creating integrated systems that convert waste streams into renewable energy sources, advancing circular economy principles in environmental engineering. Environmental Biotechnology : Engineering biological systems for environmental remediation and resource recovery applications. Biosensor Development : Designing novel sensing platforms for real-time, continuous environmental monitoring with applications in water quality assessment and pollution control. Analysis of his recent publication record reveals a pronounced shift toward intelligent environmental systems, characterized by the integration of machine learning algorithms with high-fidelity sensor networks. His work increasingly addresses emerging challenges in resource recovery (particularly lithium extraction), decentralized water infrastructure, and the water-energy-food nexus, demonstrating both technical depth and systems-level thinking. No specific scientific awards were documented in the provided source materials. As a faculty member, Professor Li maintains an active research group focused on bioenergy and environmental biotechnology, as evidenced by his dedicated research website. His program likely involves graduate student mentorship and competitive research funding, though specific grant details were not provided in the source text. The Bioenergy Research Laboratory (indicated through his research website) serves as the operational hub for developing cutting-edge sensor technologies, microbial fuel cells, and bioelectrochemical systems. This facility supports experimental work on real-time monitoring platforms, resource recovery processes, and sustainable treatment technologies with direct applications to municipal and industrial wastewater challenges.

George Chryssochoidisمشاهده پروفایل

استاد

• Consumer Behavior
• Innovation Adoption
• New Product Development
• +۴ مورد دیگر

Professor George Chryssochoidis is a distinguished academic at the University of Essex within the Essex Business School 's Strategy, Operations and Entrepreneurship department. With over 30 years of global experience, his research focuses on consumer behavior , innovation adoption , and new product development . PhD in Industrial and Business Studies, University of Warwick (1997) MPhil in Management, University of Bath DESS, University of Paris BSc in Business Administration, University of Piraeus His work spans synthetic biology for sustainable fuels (2024 NSF $10M Global Centres grant), energy efficiency policy (UKERC, UKRI), and food safety innovation (EU FP6/FP7 projects). Current teaching includes Consumer Behaviour (BE516) and Digital Marketing and Social Media (BE534) . Recent publications highlight applications of machine learning and data analytics in digital marketing , construal level theory in counterfeit consumption , and value-based segmentation in organic food marketing . His 49+ refereed articles demonstrate cross-disciplinary impact (18.2% top 10% cited, 44.4% top 10% CiteScore). NSF Global Centres Grant (2024) for sustainable synthetic biology fuels SciVal Top 10% Cited Publications (2024) Supervises PhD candidate Soyul Ahn and has led major initiatives like the ASAP Alliance and FLABEL project on food labeling. Research integrates psychometric modeling , econometric analysis , and stakeholder mapping across EU, UK, and Greek institutions.

Rinaldo Castelloمشاهده پروفایل

استاد

• Analog Integrated Circuits
• Mixed-Signal Circuits
• Radio Frequency Integrated Circuits
• +۳ مورد دیگر

Rinaldo Castello is a Full Professor at the Department of Industrial and Information Engineering, University of Pavia. His research focuses on analog and mixed-signal integrated circuits, with emphasis on radio frequency (RF) systems, CMOS technology, and high-linearity designs. He leads the Microelectronics Laboratory and has contributed to innovations in low-power RF front-ends, wideband drivers, and interference-tolerant receivers. His work spans applications in 5G, IoT, and optical communication systems. Castello's educational contributions include courses on analog circuit design and RFIC development. His recent research highlights include a 33 GHz bandwidth Mach-Zehnder modulator driver (2024) and an interferer-tolerant 5G NR receiver (2023). He has published extensively on topics like quantized-analog signal processing and noise-canceling architectures. While no formal awards or grants are explicitly listed, his prolific publication record reflects sustained excellence in microelectronics. He advises students in analog and RF circuit design, though specific student names are not documented here. His lab develops cutting-edge solutions for wireless communication challenges, emphasizing energy efficiency and high-frequency performance. Current projects include SAW-less receivers, low-power IoT front-ends, and advanced driver modulators for optical systems.

Farid Farahmandمشاهده پروفایل

استاد

• Optical Networks
• Wireless Networks
• Sensor Networks
• +۵ مورد دیگر

Farid Farahmand serves as a Professor in the Department of Electrical Engineering at Sonoma State University. His academic career spans both industry and academia, with extensive research in optical and wireless networking systems. His office is located in Salazar Hall 2010D, and he maintains active office hours through December 1, 2025. Education: Ph.D. in Optical Network Communications, University of Texas at Dallas M.S. in Electrical Engineering (Cellular Communications), University of Texas at Dallas B.S. in Electrical Engineering (Telecommunications), University of Texas at Dallas Dr. Farahmand's research focuses on energy-efficient optical transport networks, vehicular delay-tolerant networks (VDTNs), and wireless sensor systems. His work bridges theoretical networking protocols with practical implementations in environmental monitoring and medical applications. Key contributions include energy-aware traffic grooming algorithms, geographic routing protocols for VDTNs, and low-cost wireless solutions for radiation oncology. His research demonstrates strong interdisciplinary connections between telecommunications engineering, sustainable computing, and healthcare technology. Analysis of his recent publications reveals a clear trajectory toward energy efficiency in optical networks and practical VDTN implementations. His work increasingly integrates geographic routing techniques with energy optimization, particularly for rural connectivity applications. The medical applications of his wireless sensor research represent a significant cross-disciplinary impact. Scientific Awards: Best Paper Award at NGI 2009 Best Paper Award at CTRQ 2009 Best Paper Award at ASEE 2011 Best Paper Award at ICALT 2010 Best Paper Award at ASEE 2009 Dr. Farahmand has secured significant research funding for optical networking projects and has contributed extensively to engineering education through innovative teaching methods. His educational research includes remotely accessible optical laboratories, Roomba-based platforms for freshmen, and virtual learning systems for distance education. He has supervised numerous educational technology projects focusing on service-learning integration and sensor technology applications. While specific lab affiliations aren't explicitly stated in the provided text, his research outputs suggest strong involvement in networking laboratories focusing on optical burst switching, vehicular communications, and wireless sensor implementations. His work with IEEE and ASEE conferences indicates active participation in academic networking communities.

Silvia Figueiraمشاهده پروفایل

استاد

• Performance Evaluation
• Energy Efficiency
• Humanitarian Technology
• +۴ مورد دیگر

Dr. Silvia Figueira is the Dianne McKenna Professor of Computer Science and Engineering at Santa Clara University (SCU) and Chair of the Department of Computer Science and Engineering. She holds a Ph.D. from the University of California, San Diego, and B.S./M.S. degrees from the Federal University of Rio de Janeiro (UFRJ). Her research focuses on performance evaluation, energy efficiency, and humanitarian technology, particularly in developing mobile applications to address challenges in under-served communities. She directs the Frugal Innovation Hub and the Global Digital Transformation Clinic, collaborating with social enterprises and non-profits globally. Dr. Figueira has received numerous awards, including the SCU Brutocao Award for Teaching Excellence (2016), INSIGHT into Diversity’s Inspiring Women in STEM Award (2015), and the NCWIT Undergraduate Research Mentoring Award (2014). Her work emphasizes technology for social impact, including projects like AquaSift (water quality analysis) and apps for healthcare education in rural regions. She advises over 20 graduate and undergraduate students, leading initiatives such as Hack for Humanity and Mobile4All. Her labs focus on frugal innovation, sustainable development, and global health, with collaborations spanning Silicon Valley companies and international organizations.

Olivier Sentieysمشاهده پروفایل

استاد

• Computer Architecture
• Computer Arithmetic
• Embedded Systems
• +۹ مورد دیگر

Olivier Sentieys is a Professor at the University of Rennes and a Senior Research Director at Inria (French National Institute for Research in Digital Science and Technology) since September 2023. He leads the Taran research team, a joint initiative between Inria and IRISA Laboratory, which comprises approximately 50 researchers including 8 faculty members, 25 PhD students, post-docs, and research engineers. Previously, he served as Inria Research Chair on Energy-Efficient Computing Architectures (2017-2023) and as Head of the Computer Architecture Department at IRISA (2010-2019). Professor Sentieys' research spans computer architectures, computer arithmetic, embedded systems, and signal processing, with particular emphasis on energy-efficient hardware accelerators (especially for machine learning), approximate computing, numerical accuracy analysis, and fault tolerance. His work bridges theoretical foundations with practical implementations, focusing on system-level design methodologies that optimize both performance and energy consumption. His research has evolved from early work on power management for energy harvesting sensor networks to current cutting-edge investigations in machine learning hardware acceleration and reliability of deep neural networks. Analysis of his recent publications reveals a strong trend toward hardware acceleration for machine learning applications, with increasing focus on fault tolerance mechanisms for deep neural networks and precision optimization techniques. His work demonstrates a consistent trajectory of addressing energy efficiency challenges across multiple computing domains, from traditional embedded systems to modern AI workloads. The interdisciplinary nature of his research connects computer architecture with machine learning, reliability engineering, and energy harvesting technologies. Scientific Excellence Award (PEDR, PES) recipient since 1998 without interruption Member of the IEEE/ACM DATE Executive Committee since 2022 Jury member for EDAA Outstanding Dissertations Award since 2016 Member of ANR Scientific Evaluation Committee CE25 Professor Sentieys has demonstrated extensive leadership in research funding and collaboration, having led a French ANR project, participated in multiple ANR projects, and contributed to three European FP7/H2020 projects. He has served as scientific leader for approximately 30 research contracts and funded collaborations. His advising responsibilities include overseeing numerous PhD students within the Taran team, which comprises 20 PhD students, 3 post-docs, and 5 research engineers. His leadership extends to committee service, including membership on the Evaluation Committee of INRIA since 2019 and participation in technical committees for major conferences like DATE, ICCAD, and FPL. The Taran research team (formerly Cairn), which Professor Sentieys leads, focuses on designing energy-efficient and fault-tolerant computing accelerators. The team operates within the IRISA laboratory, a joint research unit (UMR 6074) that brings together over 700 researchers from Inria, CNRS, University of Rennes, INSA Rennes, and ENS Rennes. The team's work bridges theoretical computer architecture research with practical implementations, maintaining strong industry connections and technology transfer pathways.

• Blockchain
• Internet of Things (IoT)
• Smart Contracts
• +۵ مورد دیگر

Luc Gerrits is a researcher at the DS4H Graduate School , University of Côte d'Azur, focusing on integrating Blockchain and Internet of Things (IoT) to enhance data security and reliability in connected systems. His work is part of the Smart IoT for Mobility project, funded by DS4H and the French National Research Agency (ANR), with collaborations from industrial partners like Renault and Symag. Research Focus His research explores the technical feasibility of embedding smart contracts into connected vehicles to automate insurance claims via blockchain , ensuring tamper-proof sensor data storage and decentralized processing. This multidisciplinary project bridges electronics engineering (LEAT) with expertise in IT (I3S, Inria), law (DL4T), economics (GREDEG), and behavioral science (LEEN). Publications & Contributions Luc has co-authored two IEEE publications analyzing resource optimization for blockchain in IoT environments and decentralized data architectures . His work addresses challenges like energy consumption, network capacity, and social/legal acceptability of automated systems. Collaborations & Future Directions As part of a team including Professor François Verdier and doctoral student Roland Kromes, Luc aims to deliver low-power IoT-blockchain architectures by the project's end in December 2023. His research emphasizes user accessibility for non-specialists and cross-sector partnerships.

Long Zhaoمشاهده پروفایل

استادیار

• Power Systems
• Renewable Energy Integration
• Smart Grid Technology
• +۴ مورد دیگر

Dr. Long Zhao is an Assistant Professor at the South Dakota School of Mines and Technology (SDSMT), specializing in power systems and renewable energy integration. His research focuses on smart grid technologies, IoT-based monitoring systems, wildfire impact mitigation, and electric vehicle (EV) infrastructure. He holds a B.S. from Eastern Washington University, an M.S. from Wichita State University, and a Ph.D. from the University of Texas at Arlington. Dr. Zhao’s work addresses critical challenges in energy systems, including optimizing power distribution grids during wildfires, analyzing EV charging station dynamics, and quantifying environmental impacts on solar systems. He develops data-driven models for demand forecasting, grid resilience, and disaster response strategies. His projects often involve collaboration with industry partners to deploy IoT-enabled monitoring systems in substations and renewable energy facilities. Key research themes include: Wildfire Impact Analysis: Evaluating smoke effects on PV systems, grid stability under wildfire conditions, and predictive wildfire modeling. EV Infrastructure: Designing sustainable DC-fast charging stations and integrating EVs into smart grids. IoT Applications: Deploying real-time monitoring systems for substations, wind turbines, and photovoltaic arrays. His publications emphasize practical solutions for grid resilience, energy sustainability, and disaster mitigation. Dr. Zhao’s work aligns with national initiatives to modernize energy infrastructure and enhance climate resilience in rural and high-risk regions.

Navrati Saxenaمشاهده پروفایل

دانشیار

• 5G wireless
• 6G wireless
• IoT
• +۷ مورد دیگر

Navrati Saxena is an Associate Professor in the Department of Computer Science at San José State University (SJSU), California, USA. She previously served as an Assistant/Associate Professor and Director of the Mobile Ubiquitous System Information Center (MUSIC) at Sungkyunkwan University (SKKU), South Korea. Her research focuses on next-generation wireless networks (5G/6G), IoT, vehicular communications, satellite networks, and machine learning applications in telecommunications. She holds a Ph.D. in Informatics and Communications Engineering from the University of Trento, Italy. Education: Ph.D. in Informatics and Communications Engineering, University of Trento, Italy (2005). Research Interests: 5G/6G wireless systems, IoT, social networking, smart grids, D2D communications, vehicular networks, satellite communications, and machine learning-driven network optimization. Her work spans energy efficiency, network architecture design, and disaster-resilient connectivity. Grants & Awards: Secured over $465,000 in research grants from institutions like the Korea Research Foundation and Samsung. Notable awards include the Young Scientist Best Paper Award (Indian Science Congress Association, 2006-2007). Professional Contributions: Supervised 12 Ph.D. students and 22 MS researchers at SKKU. Authored/co-authored one book, two book chapters, and over 90 international journal/conference papers. Served as a guest editor for journals and TPC member for IEEE conferences. Active in diversity initiatives at SJSU, including leadership roles in DEI and anti-racism committees. Labs & Teams: Leads the Mobile Ubiquitous Systems Information Center (MUSIC) at SJSU, focusing on edge-cutting research in wireless networks and education.

Zakary Campbell-Lochrieمشاهده پروفایل

مدرس

• Fire Science
• Wildland Fire Dynamics
• Combustion Engineering
• +۴ مورد دیگر

Zakary Campbell-Lochrie is a Lecturer in Fire Science at the University of Edinburgh's School of Engineering, affiliated with the Institute for Infrastructure and Environmental Engineering. He holds a PhD in Engineering (Infrastructure & Environment) and an MEng in Mechanical Engineering from the University of Edinburgh. His research focuses on combustion and fire behavior of bio-based materials, particularly in wildland fires, combining theoretical and experimental approaches across multiple scales. He also develops advanced fire science instrumentation for field and laboratory use. Teaching responsibilities include courses such as Principles of the Fire Laboratory (MSc), Mechanical Engineering 2 , and Electrical & Mechanical Engineering 2 . As Cohort Lead for third-year Mechanical Engineering students, he mentors undergraduate education. Research interests emphasize fundamental physical processes in flame spread, fuel bed structure effects, and multi-scale analyses of wildland fires. His work bridges laboratory experiments, field studies, and numerical modeling to improve wildfire prediction and management. Recent studies explore energy flux calibration, peatland ecosystems under fire, and Rothermel model refinements. Professional memberships include an Associate Fellowship of the Higher Education Academy. His publications span combustion dynamics, thermal decomposition, and fire radiative power measurement. Current projects aim to enhance understanding of quiescent flame spread in porous fuels and the impact of fuel moisture on fire behavior in northern ecosystems.

• Energy Systems
• Renewable Energy
• Urban Energy Systems
• +۳ مورد دیگر

Vahid Arabzadeh is a Researcher affiliated with the Department of Built Environment at Aalto University. He holds a Master of Science in Chemical Technology (Process System Engineering) from Aalto University (2016) and a Doctorate (Tekn. toht., teknillinen fysiikka) in 2021. His research focuses on renewable energy systems, urban energy planning, wind power integration, and heat demand management, with a strong emphasis on Sustainable Development Goals. Key research interests include energy system modeling, large-scale renewable integration, decarbonization strategies, and sector-coupling flexibility. His work bridges technical innovation with policy implications, particularly in cold-climate urban settings like Helsinki. Recent projects explore vertical farming powered by wind energy, hybrid renewable forecasting, and sea ice monitoring via satellite data. Publications highlight interdisciplinary approaches combining physical modeling with data-driven techniques. Collaborations span climate policy analysis, energy infrastructure optimization, and AI-driven cost estimation in civil engineering. His research has been cited in policy documents and referenced in Wikipedia/Wikidata entries, demonstrating real-world impact.

Jeffrey S Kauppilaمشاهده پروفایل

دانشگاهی

• Radiation-Hardened Circuit Design
• Radiation Effects Modeling
• Compact Modeling
• +۶ مورد دیگر

Jeffrey S. Kauppila is a Research Assistant Professor of Electrical Engineering at Vanderbilt University's School of Engineering. He is affiliated with the Institute for Space and Defense Electronics (ISDE), focusing on radiation effects modeling and radiation-hardened design for microelectronics. His research spans radiation-enabled compact models, circuit design for defense systems, and radiation effects on nanoscale technologies. Dr. Kauppila holds a Ph.D., M.S., and B.E. in Electrical Engineering from Vanderbilt University. His expertise includes analog/mixed-signal design in bipolar, CMOS, SOI, and FinFET technologies. He has contributed over 60 technical publications and co-authored a chapter in Extreme Environment Electronics . His research interests emphasize radiation-hardened circuit design, compact modeling for radiation effects, layout-aware modeling, and reliability in advanced technologies. He has presented tutorials and short courses on radiation-hardening strategies and single-event modeling. Dr. Kauppila serves as a reviewer for IEEE Transactions on Nuclear Science and the Journal of Radiation Effects Research and Engineering. He is a licensed professional engineer in Tennessee.

Somayeh Asadiمشاهده پروفایل

استاد

• Smart Infrastructure Systems
• Sustainable Built Environment
• Machine Learning Applications
• +۷ مورد دیگر

Somayeh Asadi is a Professor in the Department of Civil and Environmental Engineering at the University of Virginia (UVA), following her tenure as an Associate Professor at Pennsylvania State University. She holds M.Sc. and Ph.D. degrees in engineering science from Louisiana State University. Her research focuses on smart infrastructure systems, integrating machine learning and AI to advance sustainable built environments, including net-zero energy buildings, resilient systems, and the food–energy–water nexus. She leads a dynamic research team exploring topics like digital twins, occupant health, and equitable energy access. Education: M.Sc. and Ph.D. in Engineering Science (Louisiana State University), with specialization in construction engineering. Professional roles include past chair of the ASCE Global Computing Committee and advisor to the NECA student chapter for eight years. Research interests emphasize data-driven solutions for urban challenges, including power system resilience, EV integration, and climate-responsive design. Her work bridges academia and industry through projects funded by the NSF and collaborative initiatives like the UVA Engineering AI education grant. She actively promotes equitable infrastructure development and has published extensively on topics ranging from BIM-to-robotics integration to socio-economic vulnerability analysis. Awards: While no specific awards are listed, her contributions to sustainable engineering and AI applications are highlighted through her numerous peer-reviewed publications and grant leadership. Advising & Grants: Secured a $1M NSF grant for inclusive AI education and advises on construction robotics and energy policy. Her labs and teams focus on transforming infrastructure through interdisciplinary approaches, including parametric modeling for robotic construction and mobile energy storage solutions.

Azer Bestavrosمشاهده پروفایل

استاد

• Networking
• Distributed Systems
• Cloud Computing
• +۶ مورد دیگر

Azer Bestavros is a Professor and Associate Provost for Computing & Data Sciences at Boston University, affiliated with the Department of Computer Science within the Arts & Sciences School. He joined BU in 1991 after earning his PhD from Harvard. His research focuses on networking, distributed systems, cloud computing, and cybersecurity, with notable contributions to web content distribution models, cloud resource management, and privacy-preserving analytics. He led the establishment of the BU Hariri Institute for Computing and the Open Cloud Exchange initiative to advance cloud marketplaces. Education: PhD in Computer Science from Harvard University. Research Interests: His work integrates technical and policy dimensions, addressing challenges in secure multiparty computation, formal methods for network verification, and interdisciplinary applications of computing. Recent projects include frameworks for privacy-preserving analytics and mechanisms for efficient cloud resource allocation. Grants & Advising: Advised 16 PhD students, contributed to 6 patents, and spun off 3 startups. His research has yielded over 13,000 citations and informs policy through initiatives like the Cloud Computing Caucus. Labs & Teams: Spearheaded the Hariri Institute’s cloud computing, big data, and cybersecurity programs. Currently oversees the Faculty of Computing & Data Sciences, fostering interdisciplinary collaboration across BU.

• Algebraic Geometry
• Thermal Engineering
• Energy Efficiency
• +۵ مورد دیگر

Xi Chen is an Associate Professor in the Department of Mathematics & Statistical Sciences at the University of Alberta, Faculty of Science. His research focuses on Algebraic Geometry and interdisciplinary applications in thermal engineering, energy efficiency, and sustainable building technologies. He collaborates with civil and mechanical engineering domains to advance building performance, energy systems, and smart home technologies. Research interests include mathematical modeling of thermal dynamics, optimization of heating/cooling systems, and sustainable construction materials. He explores robotics in construction, moisture/mold prevention in timber structures, and energy forecasting through machine learning. His work addresses cold-climate challenges in residential and commercial buildings, emphasizing net-zero energy solutions and infrastructure resilience. Recent studies analyze hybrid fuel heating systems, ventilated block walls, and airtightness evaluation of Canadian dwellings. He investigates the potential of tap water for space cooling and integrates transfer learning for energy consumption forecasting. Collaborations span engineering, computer science, and environmental fields. No scientific awards are listed. Advising details and grants are not provided in the text. His work contributes to labs and teams advancing sustainable building technologies and energy-efficient systems in cold regions.