جست‌وجوی استاد و پژوهشگر

Scott Lukasمشاهده پروفایل

دانشیار

• Berry Crop Physiology
• Agricultural Sustainability
• Soil Health Management
• +۳ مورد دیگر

Scott Lukas is an Associate Professor in the Department of Horticulture at Oregon State University (OSU), holding the Endowed Professorship for Northwest Berry Production and Management. He leads the Berry Program at the North Willamette Research and Extension Center (NWREC) and collaborates with USDA-ARS on cooperative breeding programs. His roles include research, Extension, and teaching focused on berry crop physiology, production systems, and sustainable agriculture. Education: Ph.D. (2015), M.S. (2011), and B.S. (2007) in Horticulture-related fields from the University of Hawaii at Manoa and University of Nevada, Reno. Research Interests: berry crop management (blueberries, strawberries, raspberries), soil health, pest management, irrigation optimization, and agroecology. He emphasizes sustainable practices and has contributed to the development of new berry cultivars like ‘Cascade Legacy’ red raspberry and ‘Thunderhead’ blackberry. Awards and Recognition: Includes the Outstanding Extension Publication Award (2023) and Early Career Scholar Award (2020) from professional societies. His work spans peer-reviewed articles, Extension publications, and collaborative grant-funded projects. Grants: Agricultural Research Foundation, USDA-ARS, Oregon Raspberry & Blackberry Commission. Labs/Teams: North Willamette Research and Extension Center (NWREC), OSU Small Fruits Research Program. Outreach: Develops Extension guides on berry cultivation, soil health, and pest management, including enterprise budgets for hemp and berry crops.

Ana Milanovaمشاهده پروفایل

استاد

• Programming Languages
• Compilers
• Software Engineering
• +۶ مورد دیگر

Dr. Ana Milanova is a Professor in the Department of Computer Science at Rensselaer Polytechnic Institute, where she has been since 2003. Her research focuses on programming languages, compilers, and software engineering, with emphasis on static program analysis, security, and applications in Android app taint analysis, secure cryptographic protocols, and machine learning library verification. Research Interests: Her work addresses challenges in secure software development, privacy-preserving techniques, and static analysis methodologies. Recent projects include federated learning frameworks, Python-based static analysis tools, and secure computation protocols. She has contributed to tools like Submitty for automated programming assignment grading and frameworks for secure MapReduce applications. Scientific Awards: NSF CAREER Award, Google Faculty Research Award Grants: SaTC: CORE grants for secure computation and multi-party optimization Labs/Teams: Leads research in secure computation, federated learning, and static analysis tool development. Collaborates on open-source platforms for educational grading systems (Submitty).

Sean Chesterمشاهده پروفایل

استادیار

• Data Management
• Parallel Computing
• Algorithm Engineering
• +۵ مورد دیگر

Sean Chester is an Assistant Professor in the Department of Computer Science at the University of Victoria, Canada. He is affiliated with the Faculty of Engineering and Computer Science and specializes in scalable data analytics, with a focus on data management, parallel computing, and algorithm engineering. His research interests include GPU-native algorithms, multicore optimization, spatio-temporal data processing, and graph-based analysis. He actively contributes to open-source projects and course materials on platforms like GitHub, emphasizing open science and education. Recent work highlights include advancements in skyline computation, GPU-accelerated algorithms, and efficient processing of large-scale datasets. His publications span topics such as kNN optimization, social network anonymization, and vectorized k-core decomposition. Sean is involved in teaching courses like CSC 485C/586C on data management on modern hardware and CSC 370 on database systems. No scientific awards or grants are explicitly mentioned in the provided texts. He collaborates with students and researchers through platforms like GitHub, where he maintains repositories related to algorithm engineering and educational materials.

Suzanne Lenhartمشاهده پروفایل

استاد

• Mathematical Biology
• Optimal Control Theory
• Partial Differential Equations
• +۴ مورد دیگر

Suzanne Lenhart is a Chancellor’s Professor of Mathematics at the University of Tennessee, Knoxville, affiliated with the College of Arts and Sciences. Her research focuses on optimal control theory applied to biological systems, including population dynamics, infectious diseases, and natural resource management. She also served as Associate Director of Education and Outreach at NIMBioS, promoting interdisciplinary research in mathematical biology. Education: PhD in Mathematics from the University of Kentucky. She has published over 250 journal articles and four books, including Optimal Control Applied to Biological Models and Mathematics for the Life Sciences . Her work emphasizes translating mathematical models into practical solutions for ecological and public health challenges. Research interests include partial differential equations, optimal control applications in epidemiology, and environmental modeling. She has secured grants from the CDC and NSF, focusing on topics like hospital-acquired infections and US-Africa collaborative research in mathematical sciences. Outreach: Directed REU programs for 15+ years, supervised 33 PhD and 36 master’s students. Serves as a faculty sponsor for AWM and SACNAS student chapters, and leads the TAPDINTO-STEM initiative to promote STEM inclusion for students with disabilities. Awards: Fellowships from AWM, AMS, AAAS, and SIAM. Recognized for leadership in advancing women in mathematics and science education.

Timothy Jonesمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Compilers
• +۴ مورد دیگر

Timothy Jones is a Professor of Computer Architecture and Compilation at the University of Cambridge Computer Laboratory, with a research focus on extracting parallelism (thread-level, data-level, memory-level) through compilers, binary translators, and microarchitectures to enhance performance, energy efficiency, and reliability. He is also a Fellow and 1956 College Lecturer at Gonville and Caius College, serving as joint Director of Studies for Computer Science. Teaching: Advanced Topics in Computer Architecture (MPhil ACS, Part III), Introduction to Computer Architecture (Part IB), Optimising Compilers (Part II) Research Themes: Computer Architecture, Security, Programming Languages, Parallel Computing Contact: Room SC03, Department of Computer Science and Technology, William Gates Building, Cambridge CB3 0FD His recent publications emphasize heterogeneous parallelism, fault tolerance, speculative execution, and security implications in compiler and microarchitecture design. Notable trends include integrating fine-grained security analysis into superscalar cores and optimizing GPU architectures for scalarization and memory bypassing. He is active on Twitter ( @TJonesCL ) and maintains an Erdős Number of 4.

Feng Anمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +۳ مورد دیگر

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.

• Process Systems Engineering
• Green Ammonia
• Tidal Energy
• +۳ مورد دیگر

Rene Bañares-Alcántara is a Professor at the University of Oxford 's Department of Engineering Science and a Fellow of New College since 2003. His academic journey began with a BSc in Chemical Engineering from UNAM, followed by MSc and PhD from Carnegie Mellon University. Research Focus: Process Systems Engineering, specializing in long-term renewable energy storage and green ammonia production since 2014. Key Contributions: Development of techno-economic models for green ammonia, integrating tidal/wind/solar variability, offshore production, and international trade dynamics as lead of the OXGATE research group . Teaching Roles: Tutors first/second-year engineering students in Thermodynamics, Fluids, Mathematics, and Engineering & Society; teaches Risk & Safety, Reactor Design, and coordinates third-year design projects. Recent Publications: Focus on tidal stream energy phasing for green ammonia production, decarbonization strategies for India, and ammonia's role in shipping and UK energy storage. These studies highlight his expertise in combining tidal energy predictability with chemical process design. Collaborations: Works with institutions like EMEC and FORWARD2030, leveraging tidal hotspots in the Irish Sea and Orkney. His work addresses grid constraints, equipment sizing, and environmental impacts of large-scale tidal energy deployment.

Roderic D Pageمشاهده پروفایل

استاد

• Taxonomy
• Biodiversity Informatics
• Phylogenetics
• +۳ مورد دیگر

Professor Roderic D Page is a faculty member at the University of Glasgow, holding the position of Professor of Taxonomy (Evolution & Diversity) within the School of Biodiversity, One Health & Veterinary Medicine. His primary affiliation is with the Institute of Biodiversity, Animal Health & Comparative Medicine. He is based in Glasgow, Scotland, and can be contacted via email at Roderic.Page@glasgow.ac.uk or through his ORCID profile (0000-0002-7101-9767). Professor Page's research focuses on biodiversity informatics, taxonomy, and phylogenetics. He is a leading advocate for open science, particularly in improving access to taxonomic literature and integrating biodiversity data through knowledge graphs. His work includes projects such as BioStor (digitizing historical biodiversity literature), the Biodiversity Heritage Library (BHL), and initiatives to link persistent identifiers (e.g., LSIDs, DOIs, ORCIDs) across taxonomic databases. Key themes in his research include: Enhancing interoperability between biodiversity datasets Developing tools for phylogenetic visualization and analysis Addressing challenges in DNA barcoding and taxonomic classification Promoting open access to biodiversity data and legacy literature His recent work explores machine learning applications in taxonomy, the limitations of current data-sharing practices in phylogenetics, and the role of knowledge graphs in synthesizing biodiversity knowledge. He frequently critiques siloed approaches to data management and advocates for global collaboration in biodiversity informatics. Grants and funding for his research include support from initiatives related to the Biodiversity Heritage Library, the LOTUS project (open natural products research), and the Global Biodiversity Information Facility (GBIF). His contributions have advanced both computational methods and policy frameworks for biodiversity data integration. Professor Page is associated with the BioNames and BHL projects, and his lab focuses on bridging gaps between taxonomic databases, genomic data, and geospatial information. He actively participates in international efforts to standardize biodiversity data and improve accessibility for researchers worldwide.

• Electromagnetic Compatibility
• Power Electronics
• Signal Processing
• +۳ مورد دیگر

Markeljan Fishta is a Researcher at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. His roles include teaching assistance in courses such as PCB Design for PhD students, Analog Electronics for Master’s students, and Foundations of Electronics for Aerospace Engineering undergraduates. His research focuses on electromagnetic compatibility (EMC), power electronics, and wireless communication systems, particularly in reducing electromagnetic interference (EMI) in power converters and developing acoustic-based communication for smart water networks. His recent work emphasizes EMI mitigation techniques in wide bandgap (WBG) inverters, GaN-based DC-DC converters, and sigma-delta modulators. Additionally, he explores in-pipe acoustic communication for urban water infrastructure, addressing challenges in channel modeling and data transmission reliability. Fishta collaborates with researchers like Franco Fiori and Erica Raviola on these topics, contributing to both theoretical advancements and applied solutions. His publications reflect a multidisciplinary approach, spanning IEEE Transactions on Electromagnetic Compatibility and international workshops. His research trends show a strong emphasis on source-based EMI reduction strategies, robust modulator design, and innovative communication methods for infrastructure monitoring. Fishta’s teaching contributions span multiple engineering programs, demonstrating his commitment to both academic instruction and cutting-edge research in electronic systems and communication technologies.

Robert A Wellerمشاهده پروفایل

استاد پژوهشی

• Radiation Effects in Semiconductors
• Computer Simulation of Radiation Effects
• Ion Beam Analysis
• +۴ مورد دیگر

Robert A Weller is a Research Professor of Electrical Engineering at Vanderbilt University's School of Engineering, with Emeritus titles in Physics and Materials Science. His research focuses on radiation effects in semiconductors, simulation of radiation interactions, and ion-beam analytical techniques. He developed the MRED simulation tool, revolutionizing single-event effect studies. Weller holds a Ph.D. in Physics from Caltech and a B.S. in Engineering Physics from the University of Tennessee. His career spans over 40 years, including roles at Yale University and collaborations with institutions like Sandia National Laboratories. He has authored over 240 publications and pioneered advancements in radiation-hardened electronics, earning the R&D 100 Award (2001) and multiple conference accolades. His work bridges astrophysics, materials science, and engineering, addressing challenges in space electronics and semiconductor reliability. Education: Ph.D., Physics, Caltech (1978); B.S., Engineering Physics, University of Tennessee (Undergraduate) Key Contributions: Ion-induced electron emission microscope (R&D 100 Award), MRED simulation code Awards: IEEE Senior Member, APS Fellow, Outstanding Conference Paper Awards (2007, 2013) Weller's research extends to gravitational wave detection and space radiation monitoring via missions like RadFxSat-2. He actively contributes to interdisciplinary initiatives in radiation effects and reliability, emphasizing both theoretical and applied advancements.

George Kolliosمشاهده پروفایل

استاد

• Temporal Indexing
• Spatio-Temporal Data Management
• Data Mining
• +۴ مورد دیگر

George Kollios is a Professor and Chair of the Computer Science Department at Boston University. He holds a PhD in Computer Science from Polytechnic University, New York (2000), an M.Sc. from the same institution (1998), and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece (1995). His research focuses on temporal/spatio-temporal indexing, database security, privacy-preserving technologies, and large-scale data management. His work is supported by NSF (including an NSF CAREER Award) and IARPA. Education: PhD, Polytechnic University, New York (2000) M.Sc., Polytechnic University, New York (1998) Diploma in Electrical and Computer Engineering, National Technical University of Athens (1995) Research Interests: His expertise spans data mining , secure database systems , and privacy-preserving algorithms . He develops methods for efficient query processing on encrypted data, spatio-temporal data management, and scalable clustering techniques. Recent Research Trends: His publications emphasize differential privacy , secure encryption schemes , and large-scale graph algorithms . Notable contributions include optimizing privacy in database queries and evaluating encryption protocols for secure data access. Awards: NSF CAREER Award Grants & Collaborations: Recipient of NSF-funded projects on access pattern privacy and IARPA-supported research. He collaborates on interdisciplinary initiatives to bridge theoretical foundations with practical security frameworks.

• 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.

Kerry Niceمشاهده پروفایل

پژوهشگر ارشد

• Urban Climate Modelling
• Artificial Intelligence
• Deep Learning
• +۵ مورد دیگر

Dr. Kerry Nice is a Research Fellow at the Melbourne School of Design (The University of Melbourne), specializing in urban climate modeling, artificial intelligence, and sustainable urban development. His work integrates software engineering expertise with environmental science to address urban challenges such as heat mitigation, active transport, and public health. He holds a PhD from Monash University, focusing on urban microclimate modeling (VTUF-3D) and the impact of vegetation/water-sensitive design on human thermal comfort. Research interests include: Urban modeling using artificial neural networks and deep learning Climate adaptation strategies for green/blue infrastructure Analysis of urban mobility patterns and bicycle infrastructure equity Impact assessment of irrigation and water management on urban cooling His publications (2020–2025) explore topics such as: System dynamics modeling for urban resilience Machine learning applications in thermal perception prediction Global pandemic mobility shifts and heat mitigation techniques He collaborates with the Transport, Health and Urban Design (THUD) research hub and maintains affiliations with the International Association for Urban Climate (IAUC) and Australian Meteorological & Oceanographic Society (AMOS).

Masamitsu Kanadaمشاهده پروفایل

استادیار

• Extracellular Vesicles (EVs) Engineering
• Drug Delivery Systems
• Cancer Biology
• +۳ مورد دیگر

Masamitsu Kanada, PhD, is an Assistant Professor in the Department of Pharmacology & Toxicology at Michigan State University's College of Human Medicine. His research focuses on engineering extracellular vesicles (EVs) for targeted drug/gene delivery and understanding EV-mediated intercellular communication in diseases like cancer. He holds a PhD in Cell Biology from the University of Tsukuba and completed postdoctoral training at Stanford University School of Medicine. Education: Postdoctoral Fellow, Pediatrics, Stanford University School of Medicine (2012–2017) PhD in Cell Biology, University of Tsukuba (2003–2008) BSc in Biochemical Engineering, Tohoku University (1999–2003) Research Interests: Dr. Kanada's work combines molecular biology, live-cell imaging, and drug screening to develop novel EV-based therapies. Key areas include: EV engineering for cancer immunotherapy Biomarker discovery via phosphatidylserine-exposing EVs 3D tumor microenvironment modeling CRISPR delivery using non-viral vectors Funding: Active grant: Ultrasound-assisted extracellular vesicle engineering and induced release (EVEiR) funded by the National Institute of Biomedical Imaging and Bioengineering (2022–2025). Teaching: Teaches PHM 802 Cellular, Molecular and Integrated Systems Pharmacology and PHM 816 Integrative Toxicology . Courses emphasize translational applications of pharmacology and toxicology principles. Labs/Teams: Leads interdisciplinary research integrating bioengineering, molecular biology, and clinical translation to advance EV-based diagnostics and therapies.

Jefersson Alex dos Santosمشاهده پروفایل

استادیار

• Remote Sensing Image Processing
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Jefersson Alex dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield, UK. Previously, he served as an Associate Professor at Universidade Federal de Minas Gerais (UFMG), Brazil (2013–2022). He holds a PhD in Computer Science from the University of Campinas (Unicamp) and the University of Cergy-Pontoise, France (2013). His research focuses on remote sensing image processing, computer vision, and machine learning, with applications in geospatial data analysis and medical imaging. He is an IEEE Senior Member and serves as an Associate Editor for IEEE Geoscience and Remote Sensing Letters and Co-Chair of the ISPRS Working Group for AI/ML in Geospatial Data. Education: PhD in Computer Science: University of Campinas (Unicamp) & University of Cergy-Pontoise, 2013 Master's in Computer Science: Unicamp, 2009 Bachelor's in Computer Science: University of Mato Grosso do Sul (UEMS), 2006 Research Interests: Remote sensing image processing, computer vision, machine learning, and geospatial data analysis. His work emphasizes interdisciplinary research, including applications in environmental monitoring, medical imaging, and digital forensics. Grants & Awards: CNPq Productivity Research Scholarship (2016–2022) Serrapilheira Institute Research Grant (2021) Labs & Teams: Founder of the Laboratory of Pattern Recognition and Earth Observation (PATREO) at UFMG's Department of Computer Science.