جست‌وجوی استاد و پژوهشگر

Roshan Vengazhiyil Josephمشاهده پروفایل

استاد

• Statistics
• Experimental Design
• Bayesian Computation
• +۶ مورد دیگر

Roshan Vengazhiyil Joseph is the A. Russell Chandler III Chair and Professor at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. He holds a Ph.D. in Statistics from the University of Michigan (2002), an M.Tech. in Quality, Reliability, and Operations Research from the Indian Statistical Institute (1995), and a B.Tech. in Product Engineering and Management from the National Institute of Technology, Calicut (1993). Ph.D. Statistics (2002), University of Michigan M.Tech. Quality, Reliability, and Operations Research (1995), Indian Statistical Institute B.Tech. Product Engineering and Management (1993), National Institute of Technology-Calicut Dr. Joseph's research focuses on applied and computational statistics, with emphasis on developing data analytic methods for engineering problems. His expertise spans Bayesian computation, uncertainty quantification, Gaussian process modeling, and quality engineering. Recent work includes active learning strategies, calibration of micromechanical models, and machine learning applications in materials science. His research trends include Bayesian optimization , Gaussian process modeling , experimental design , uncertainty quantification , machine learning for industrial applications , and computational efficiency in statistical methods . Distinguished Dissertation Award (2003) CAREER Award (NSF, 2005) Jack Youden Prize (ASQ, 2005) Franz Edelman Laureate (INFORMS, 2017) Statistics in Physical & Engineering Sciences Award (ASA, 2019) SPAIG Award (ASA, 2020) Lloyd S. Nelson Award (ASQ, 2021) Wilcoxon Award (ASQ, 2023) Distinguished Alumni Award (NIT-Calicut, 2024) As a Fellow of the American Statistical Association (2012) and the American Society for Quality (2020), Dr. Joseph has contributed to statistical methodology in industrial engineering. He served as Editor of Technometrics (2020-2022) and developed software packages like first , TAG , and SFDesign . His work bridges statistical theory with practical applications in manufacturing, energy systems, and materials science.

• Control Systems
• Cybersecurity in Control Systems
• Distributed Optimization
• +۳ مورد دیگر

Xiao Tan is a Postdoctoral Scholar Research Associate in Mechanical and Civil Engineering at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. Their research focuses on control systems, cybersecurity in control systems, distributed optimization, robotics, aerospace engineering, and safety-critical systems. Key research interests include developing secure control strategies under sensor attacks, designing safety filters for flight control systems, and advancing distributed optimization algorithms for multi-agent systems. Xiao Tan has also explored control barrier functions for safety verification in interconnected systems and human-in-the-loop planning for precision agriculture robotics. Recent publications emphasize computational efficiency in safe control, violation-free distributed optimization, and the application of control theory to aerospace and robotics challenges. Their work bridges theoretical control design with practical implementations in cyber-physical systems. Xiao Tan’s contributions span algorithm development, safety verification, and the integration of human interaction with automated systems. Current research trends highlight a focus on robustness, real-time implementation, and interdisciplinary applications of control systems in safety-critical domains.

• Marine Geochemistry
• Trace Metal Speciation
• Hydrothermal Systems
• +۳ مورد دیگر

Andrea Koschinsky-Fritsche is a Professor of Geosciences at Constructor University (formerly Jacobs University Bremen). With a career spanning over three decades, she specializes in marine geochemistry , focusing on trace metal behavior , hydrothermal systems , and deep-sea mineral resources . Her work bridges analytical geochemistry , experimental studies , and thermodynamic modeling , contributing to understanding biogeochemical cycles and environmental impacts of deep-sea mining . Education: Diploma in Chemistry (Technical University of Clausthal, 1989) Ph.D. in Geochemistry (Free University of Berlin, 1993) Habilitation in Geochemistry (Free University of Berlin, 2002) Her research explores trace metal dynamics in marine environments , including adsorption on mineral phases , hydrothermal fluid geochemistry , and metal-organic complexation . Recent work examines environmental implications of polymetallic nodule mining and metal cycling in estuarine systems like the Amazon plume. Collaborations span institutions in Germany, New Zealand, Brazil, and the U.S., with participation in 11 oceanographic cruises. Scientific awards include the Viktor-Moritz-Goldschmidt Medal (2004) and the Geochemical Journal Award (2010) . She has supervised numerous diploma and doctoral theses and serves on editorial boards for journals in marine science and geochemistry . Her teaching includes courses in Integrated Environmental Studies and Earth and Space Sciences at Constructor University.

Shay Solomonمشاهده پروفایل

دانشیار

• Design and analysis of algorithms
• Graph compression problems
• Dynamic graph algorithms
• +۴ مورد دیگر

Shay Solomon is an Associate Professor in the School of Electrical & Computer Engineering at Tel Aviv University. His research focuses on theoretical computer science, particularly in the design and analysis of algorithms for graph problems, distributed systems, and computational geometry. He coordinates the EE-Systems Department Colloquium and has received funding from prestigious organizations including the European Research Council (ERC), the Israel Science Foundation (ISF), and the US-Israel Binational Science Foundation (NSF-BSF). Professor Solomon's research interests span several key areas in theoretical computer science. He has made significant contributions to dynamic graph algorithms, developing novel techniques for problems like set cover and graph coloring. His work on Euclidean spanners and metric embeddings has advanced our understanding of geometric data structures. In distributed computing, he has explored locality-sensitive approaches to network representation. His research on sublinear algorithms addresses fundamental questions about what can be computed efficiently with limited resources. Across all these areas, his work is characterized by mathematical rigor and practical significance for algorithm design. Analysis of Professor Solomon's recent publications (2023-2025) reveals a strong focus on advancing the state-of-the-art in graph algorithms. His work frequently appears in top theoretical computer science venues including STOC, FOCS, and SODA. A notable trend is his exploration of dynamic algorithms that can efficiently update solutions as input changes, with applications to set cover and graph coloring problems. He has also made significant contributions to the theory of graph spanners in Euclidean and metric spaces, establishing new bounds and constructions. His collaborative work with researchers like Hung Le and Sayan Bhattacharya demonstrates the interdisciplinary nature of modern theoretical computer science research. Professor Solomon acknowledges support from several prestigious funding sources: European Research Council (ERC) Israel Science Foundation (ISF) US-Israel Binational Science Foundation (NSF-BSF) As the coordinator of the EE-Systems Department Colloquium, Professor Solomon plays an active role in academic community building at Tel Aviv University. While specific information about his advisees isn't provided in the source material, his research group likely includes graduate students working on theoretical computer science problems. His extensive publication record suggests an active research program with numerous collaborations across the global theoretical computer science community.

Andrea De Luciaمشاهده پروفایل

استاد

• Software Engineering
• Program Comprehension
• Software Security
• +۳ مورد دیگر

Andrea De Lucia serves as Full Professor in the Department of Computer Science at the University of Salerno, Italy, maintaining an active research profile with office hours at Fisciano Campus (Building F2, Room 089) and correspondence via adelucia@unisa.it. His scholarly contributions span software engineering with particular emphasis on security, mobile systems, and emerging quantum applications. His research portfolio demonstrates evolving focus through distinct phases: 2018-2020 : Code smell analysis and mobile energy efficiency (e.g., Android energy consumption studies) 2021-2022 : Security vulnerability lifecycle and quantum software engineering foundations 2023-2025 : Ethical AI integration (fairness in ML engineering) and advanced exploit prediction Recent publications reveal strategic expansion into quantum-computing applications and AI ethics, maintaining core software engineering principles while addressing contemporary challenges in secure, reliable systems development. His work consistently bridges theoretical frameworks with empirical validation through large-scale studies. De Lucia actively contributes to the software engineering community as program committee member for premier conferences including ICSE, ASE, and ICSME across multiple years (2018-2026), demonstrating sustained leadership in the field.

Christian Birkelمشاهده پروفایل

استاد مهمان

• Ecohydrology
• Biogeochemistry
• Hydrological Modeling
• +۶ مورد دیگر

Christian Birkel is a Visiting Professor at the Department of Ecohydrology and Biogeochemistry. His work centers on isotope hydrology, ecohydrological partitioning, and drought dynamics. Key Topics: Hydrological Modeling, Biogeochemical Cycles, Climate Change Impact Recent research focuses on integrating GRACE satellite data for groundwater drought modeling, tracer-aided hydrological frameworks, and urban green space dynamics. His studies span tropical cyclones, beaver-impacted catchments, and floodplain connectivity. Collaborations include Dörthe Tetzlaff, Chris Soulsby, and teams across Europe and Latin America. Contact via email .

• Antenna Design
• Microwave Engineering
• Electromagnetic Theory
• +۶ مورد دیگر

Dr. Ahmed A. Kishk is a prominent researcher in the field of electrical engineering with an extensive publication record spanning over two decades. His work primarily focuses on antenna design, microwave engineering, and electromagnetic theory, with significant contributions to wireless communication systems. Dr. Kishk's research interests include dielectric resonator antennas, MIMO systems, metasurfaces, and 5G technology. His work demonstrates a consistent focus on improving antenna performance through innovative designs that enhance bandwidth, reduce mutual coupling, and improve radiation efficiency. His research has evolved from fundamental electromagnetic theory to practical applications in modern wireless communication systems. Analysis of his recent publications (2021-2022) reveals a strong emphasis on 5G and mm-wave technologies, with particular attention to MIMO array design, decoupling techniques, and novel antenna structures for emerging communication standards. His work shows a clear progression from theoretical electromagnetic analysis to practical implementations addressing real-world challenges in wireless communications. Throughout his career, Dr. Kishk has mentored numerous researchers and collaborated extensively with colleagues worldwide, as evidenced by his long list of co-authored publications. His work has been published in top-tier IEEE journals including IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, and IEEE Antennas and Wireless Propagation Letters. Dr. Kishk's research has made significant contributions to the understanding and development of advanced antenna systems, particularly in the areas of dielectric resonator antennas, mutual coupling reduction techniques, and innovative feeding structures for improved antenna performance.

Kenneth Mooreمشاهده پروفایل

استاد

• Biomass Crops
• Cropping Systems
• Crop Production
• +۳ مورد دیگر

Dr. Kenneth Moore is a Distinguished Professor in Agronomy at Iowa State University, affiliated with the College of Agriculture and Life Sciences. He holds a B.S. from Arizona State University and advanced degrees from Purdue University. His research focuses on biomass crops, cropping systems, and perennial groundcovers for sustainable agriculture. He has led major projects like CenUSA and developed the MS Agronomy distance program. Moore has served as President of the Crop Science Society of America and American Society of Agronomy. His awards include ASA’s Carl Sprengel Research Award and AAAS Fellow status. Education: B.S., Arizona State University (1979); M.S., Ph.D., Purdue University (1981, 1983) Affiliations: Iowa State University; former roles at University of Illinois, New Mexico State University, and USDA/ARS. Research emphasizes perennial groundcovers for soil conservation and maize systems. Over 150 publications span agronomy journals like Agronomy Journal and Crop Science . He co-edited major texts including Forages: Volume I & II . Grants include USDA-NIFA support for bioenergy systems. Key Projects: CenUSA Bioenergy CAP, perennial groundcover implementation studies. Advising: Mentor to graduate students like Rickiel Franklin and collaborators globally (Morocco, Costa Rica). Recipient of prestigious honors including ASA’s Distinguished Service Award and AAAS Fellowship. Active editor for Crops journal and former editorial roles with Agronomy Journal and Crop Management .

• Distributed Systems
• Cloud Computing
• Operating Systems
• +۳ مورد دیگر

João Coelho Garcia serves as an Assistant Professor at Instituto Superior Técnico, University of Lisbon, and is affiliated with the Distributed Systems Group at INESC ID Lisbon. His academic responsibilities include teaching courses in Mobile and Ubiquitous Computing, Distributed Systems, and Operating Systems, Virtualization and Cloud Computing for the 2025/2026 academic year. Dr. Garcia's research spans distributed systems, cloud computing, and operating systems with specialized focus on consistency models, fault tolerance mechanisms, and privacy preservation in distributed environments. His work addresses critical challenges in serverless computing architectures, error reporting systems, and resource elasticity for cloud-native applications. The interdisciplinary nature of his research extends into public health and economics through studies on labor supply impacts from congenital disabilities and childcare policy effectiveness. Analysis of his recent publications reveals dominant trends in distributed systems consistency (particularly causal and cross-service models), privacy-enhanced fault replication, and predictive elasticity for cloud workloads. His research bridges theoretical distributed systems concepts with practical applications in serverless functions, error reporting systems, and cloud resource management while maintaining interdisciplinary connections to socioeconomic studies. As a core member of INESC ID Lisbon's Distributed Systems Group, Dr. Garcia contributes to advanced research in distributed computing infrastructure. The group maintains strong industry collaborations and focuses on developing next-generation solutions for consistency, fault tolerance, and privacy in modern distributed applications through both theoretical frameworks and practical system implementations.

Cui Yuمشاهده پروفایل

دانشیار

• Database Management
• Information Retrieval
• High-Dimensional Indexing
• +۲ مورد دیگر

Dr. Cui Yu serves as an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where she maintains an active research program focused on database systems and information retrieval. With over two decades of scholarly contributions, her work bridges theoretical foundations and practical applications in data management. Her academic foundation includes a Ph.D. from the National University of Singapore, establishing her expertise in advanced database methodologies. This background enabled her pioneering work in high-dimensional indexing techniques that address the 'curse of dimensionality' in modern data systems. Dr. Yu's research program centers on innovative solutions for database indexing, query optimization, and information retrieval. She developed the influential iDistance method and FB+-tree indexing structures that transform high-dimensional data into manageable single-dimensional spaces. Her recent work demonstrates significant evolution from core database theory toward applied domains including privacy-preserving social networks, smart city infrastructure (notably CNN-based parking systems), and mobile applications for skill development. This trajectory reflects her ability to adapt database principles to emerging technological challenges while maintaining rigorous theoretical grounding. Analysis of her publication history reveals consistent leadership in database indexing innovation, with foundational work in the early 2000s maturing into diverse applications by the late 2010s. Her research maintains strong connections between theoretical indexing advances and real-world implementations across domains including multimedia retrieval, geospatial systems, and security applications. Her scientific recognition includes two significant U.S. patents: Apparatus and method for performing transformation-based indexing of high-dimensional data (US patent: 7117217, 2006) Transformation-based method for indexing high-dimensional data for nearest neighbor queries (US patent: 6,834,278, 2004) As an educator, Dr. Yu actively mentors students through research projects and application development initiatives. She teaches core curriculum courses including Computer Architecture, Database Systems at multiple levels (undergraduate CS 432, graduate CS 533), and Senior Capstone Projects. Her teaching load demonstrates substantial commitment to both foundational computer science education and advanced specialized topics, with consistent course offerings through 2025. She maintains active professional engagement through IEEE membership and continuous scholarly output.

• Space Physics
• Ionosphere-Thermosphere Modeling
• Upper Atmospheric Dynamics
• +۲ مورد دیگر

Cheng Sheng is an Assistant Professor of Physics at UT Arlington specializing in space physics and atmospheric dynamics. His NASA/NSF-funded research examines how solar and magnetospheric energy inputs affect Earth's upper atmosphere during geomagnetic disturbances. Research focuses on: Ionosphere-thermosphere coupling mechanisms Multi-scale modeling of space weather impacts Geomagnetic storm effects on atmospheric dynamics Interhemispheric asymmetry in atmospheric responses Recent publications analyze high-resolution observational data using global circulation models (TIEGCM, GITM) to quantify energy transfer processes. Work demonstrates particular expertise in thermospheric wind patterns and Joule heating phenomena. Dr. Sheng teaches electricity/magnetism courses and mentors students in space physics research. He serves as AGU session convener and journal reviewer for space physics publications.

Rebecca Lybrandمشاهده پروفایل

استادیار

• Pedology
• Critical-Zone Science
• Soil Geochemistry
• +۷ مورد دیگر

Rebecca Lybrand is a pedologist and courtesy faculty member in the Department of Crop and Soil Science at Oregon State University, where she investigates how climate, topography, biology and parent material interact to shape soils and carbon storage across ecosystems ranging from Arizona deserts to Alaskan permafrost. Education: Ph.D. University of Arizona M.S. University of California, Riverside Research Interests: Lybrand’s work integrates field observations, laboratory spectroscopy and nano-scale microscopy to quantify mineral weathering, carbon stabilization, and biogeochemical cycling in the critical zone. She is particularly interested in how freeze–thaw regimes, dust deposition, and microbial activity control soil evolution and carbon persistence. Recent projects span permafrost hillslopes in Alaska, coastal temperate rainforests, and agroecosystems where she links soil properties to ground-nesting bee health. Her studies reveal that microscale interactions at the biota–rock interface set the pace for landscape-scale carbon budgets. Scientific Awards & Honors: Editor’s Citation for Excellence, SSSAJ (2016) NSF Travel Grants for international CZO collaborations (2012, 2015) UA NASA Space-Grant Graduate Fellowship (2013) AAAS/Science Program for Excellence in Science (2012) Outstanding Student Paper Award, AGU Biogeosciences (2011) Advising & Grants: Lybrand currently mentors two Ph.D. students and has recently graduated five others. She leads or co-leads NSF-funded projects on nano-scale weathering, permafrost carbon dynamics, and lithologic controls on soil development in southeast Alaska. Her outreach portfolio includes K-12 video series, i-STEM mentoring, and citizen-science soil painting workshops. Labs & Teams: She is affiliated with the OSU Crop and Soil Science Pedology group and maintains active collaborations across multiple Critical Zone Observatories, the HJ Andrews Experimental Forest, and international partners in Brazil, Australia and the European CZO network.

• Soil Fertility
• Nutrient Management
• Agricultural Sustainability
• +۳ مورد دیگر

Kurt Steinke is a Professor and Extension Specialist in Soil Fertility and Nutrient Management at the Department of Plant, Soil and Microbial Sciences, Michigan State University (MSU), within the College of Agriculture & Natural Resources. He holds a Ph.D., M.S., and B.S. from the University of Wisconsin and University of Wisconsin-Stevens Point. His research focuses on improving ecological efficiency, refining nutrient management strategies, and evaluating environmental impacts in agricultural systems, with emphasis on phosphorus runoff, drought management, and cover crops. Steinke teaches CSS480 (Soil Fertility and Nutrient Management) and leads the MSU Soil Fertility Research Program. His work integrates applied research and outreach across sugarbeet, corn, soybean, wheat, potato, and turfgrass systems. Key grants include a $750K USDA grant to mitigate crop PFAS uptake (2021) and a $611K grant exploring heavy metals in crops (2023). He collaborates with extension centers like Saginaw Valley and Montcalm Research. Research trends in his publications emphasize precision agriculture, cover crop impacts, nitrogen use efficiency, and environmental stewardship. He advises on fertilizer recommendations, such as the Tri-State Fertilizer Guidelines, and engages in public outreach through field days and webinars. His labs and teams focus on soil health, nutrient cycling, and sustainable production.

Richard Marksمشاهده پروفایل

استاد

• AR/VR
• Machine Learning
• Context-Aware Systems
• +۳ مورد دیگر

Richard Marks is a Professor of the Practice at the University of North Carolina at Chapel Hill, holding dual appointments in the School of Data Science and Society and the Department of Computer Science. His research focuses on AR/VR, machine learning, and context-aware systems. He previously led the PlayStation Magic Lab at Sony PlayStation, contributing to innovations like the EyeToy, PlayStation Eye, Move, and VR systems. Marks has over 100 patents and earned a PhD in Computer Science from Stanford University (1996) and a BS in Avionics from MIT (1990). Education: PhD in Computer Science, Stanford University, 1996 BS in Avionics, MIT, 1990 Research Interests: Marks explores immersive technologies including AR/VR interfaces, machine learning applications for interactive systems, and context-aware computing. His work emphasizes user-centered design principles in virtual and augmented environments. Recent Publications/Trends: Recent work focuses on spatial computing, gesture-based VR navigation, and multi-user VR environments. Key themes include improving tracking accuracy, optimizing HMD interactions, and integrating voice/gesture systems for natural user interfaces. Lab/Affiliations: Formerly director of PlayStation's Magic Lab and Google ATAP, he now leads UNC's research on next-generation interactive systems. His patents reflect innovations in controller design, tracking systems, and ambient computing interfaces.

Sangeetha Abdu Jyothiمشاهده پروفایل

استادیار

• Computer Systems
• Networking
• Machine Learning
• +۳ مورد دیگر

Sangeetha Abdu Jyothi is an Assistant Professor in the Department of Computer Science at the University of California, Irvine, within the Donald Bren School of Information and Computer Sciences. She is also affiliate faculty with both the Center for Machine Learning and Intelligent Systems and the UCI Networked Systems Program. Her research focuses on the intersection of computer systems, networking, and machine learning, with particular emphasis on Internet and Cloud Resilience and Systems and Machine Learning. Dr. Abdu Jyothi earned her Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign in 2019, where she was advised by Brighten Godfrey. Prior to that, she completed a Master of Science in Engineering in Telecommunications and Networking from the University of Pennsylvania (2010-2012), and a Bachelor of Technology in Electronics and Communication Engineering from the National Institute of Technology, Calicut, Kerala, India (2006-2010), where she received the Gold Medal for being the top graduating student. Research Interests Dr. Abdu Jyothi's research lies at the intersection of computer systems, networking, and machine learning. She leads the Networking, Systems, and AI Lab (NetSAIL) at UCI, where her current focus revolves around Internet and Cloud Resilience and Systems and Machine Learning. Her work addresses critical challenges in network reliability, particularly under extreme conditions like solar superstorms, as evidenced by her highly publicized SIGCOMM'21 paper "Solar Superstorms: Planning for an Internet Apocalypse," which received the 2022 IETF/IRTF Applied Networking Research Prize. Her recent research explores concept-based explainability for learning-enabled systems, distributed LLM inference on mobile devices, and the impact of space weather on satellite networks. She has made significant contributions to understanding LEO satellite topology design parameters and developing frameworks for cross-layer cartography of submarine cables and IP links. Awards and Honors NSF CAREER Award (2025) ACM CoNEXT Best Paper Award (2024) N2Women Rising Star in Networking and Communications (2022) IETF/IRTF Applied Networking Research Prize (2022) Rising Stars in EECS, MIT (2018) Facebook Ph.D. Fellowship (2017-2019) Mavis Future Faculty Fellowship (2017-2018) Gold Medal for first rank in Bachelor of Technology, National Institute of Technology, Calicut (2010) Advising and Professional Service Dr. Abdu Jyothi currently advises multiple Ph.D., MS, and undergraduate students at UCI. Her current Ph.D. students include Kapil Agrawal, Eunju Kang, Sagar Patel, Alagappan Ramanathan, and Nazmul Takbir. She has previously mentored numerous students who have gone on to pursue advanced degrees at institutions like UMass Amherst, Stanford, and CMU, or joined companies like Amazon, Microsoft, and Epic Systems. She is actively involved in the research community, having served as General Co-Chair for ACM HotNets (2024), Publications Co-Chair for ACM CoNEXT (2024), and Workshops Co-Chair for ACM SIGCOMM (2023). She has been on the program committees for numerous top conferences including NSDI, SIGCOMM, and MLSys. Research Lab Dr. Abdu Jyothi leads the Networking, Systems, and AI Lab (NetSAIL) at UCI, which focuses on developing innovative solutions at the intersection of networking, systems, and artificial intelligence. The lab's work spans multiple domains including Internet resilience, cloud systems, satellite networking, and explainable AI for networked systems.