جست‌وجوی استاد و پژوهشگر

• Nanofluid Engineering
• Nanoparticle Migration
• Heat Transfer
• +۳ مورد دیگر

Amir Malvandi is an Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois, with affiliations at the Grainger College of Engineering, Center for Digital Agriculture, and Siebel Center for Design. His research focuses on thermal-fluid sciences, nanofluid engineering, and advanced food processing technologies. Research interests span nanofluid dynamics, nanoparticle migration, heat transfer enhancement, ultrasonic drying technologies, and AI-enabled food processing systems. Key application areas include sustainable food preservation, biopolymer processing, and energy-efficient industrial systems. Recent publications demonstrate strong focus on ultrasonic drying optimization, AI integration in food engineering, nanofluid behavior in thermal systems, and sustainable biomaterial processing. Research trends highlight machine learning applications for process optimization and non-destructive quality monitoring. Laboratory and team activities involve interdisciplinary collaborations in digital agriculture, supercomputing applications for agricultural engineering, and human-centered design integration in food systems.

Gabriele Cavallaroمشاهده پروفایل

دانشیار

• Remote Sensing
• Machine Learning
• High Performance Computing
• +۳ مورد دیگر

Prof. Gabriele Cavallaro is an Associate Professor at the Faculty of Electrical and Computer Engineering, University of Iceland (since 2024) and concurrently serves as a Visiting Professor at the European Space Agency's Φ-Lab, contributing to the Quantum Computing for Earth Observation (QC4EO) initiative. He leads the Simulation and Data Lab (SDL) at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany, focusing on AI/ML for remote sensing. Previously, he held roles as Deputy Head of the High Productivity Data Processing (HPDP) group (2016–2021), Adjunct Associate Professor at the University of Iceland's Computer Science Department (2022–2024), and Chair/Co-chair of IEEE GRSS technical committees. He earned his B.Sc. and M.Sc. in Telecommunications Engineering from the University of Trento, Italy (2011, 2013), and a Ph.D. in Electrical and Computer Engineering from the University of Iceland (2016). His research emphasizes scalable machine learning algorithms, quantum computing integration, and high-performance computing for remote sensing applications, particularly in geospatial data analysis and earth observation. Prof. Cavallaro has received the IEEE GRSS Third Prize in the Student Paper Competition (2015) . His work bridges academic and industrial collaborations, including leadership in the HDCRS and QUEST TC committees. He has organized workshops and summer schools on disruptive computing architectures and co-edited the IEEE Transactions on Image Processing (TIP) from 2022 to 2024. His roles include advancing modular supercomputing systems like the Juwels Booster and developing tools for distributed neural network training. He is also involved in initiatives such as Sen4map (semantic land-use mapping) and Prithvi (foundation models for geospatial data).

• Data-intensive astrophysics
• Astronomical sciences
• Space sciences
• +۷ مورد دیگر

Sarah Hegarty is a Data Scientist affiliated with the School of Business, Law and Entrepreneurship at Swinburne University of Technology , where she contributes to data analysis, software development, and research projects. Since 2017, she has been part of the Economics of Innovation research group , specializing in data-intensive astrophysics , economic databases , and data-driven agricultural economics .

Josva Kleistمشاهده پروفایل

دانشیار

• Distributed Systems
• Grid Computing
• Optical Networking
• +۵ مورد دیگر

Josva Kleist is an Associate Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. He specializes in distributed systems, grid computing, and optical networking, with a focus on energy efficiency, middleware development, and process calculus theories. His research spans distributed computing architectures, including grid middleware (e.g., ARC), optical network optimization, and high-performance computing infrastructure for projects like the LHC. He contributed to the Danish Center for Grid Computing and the Network of Excellence on Embedded Systems Design (2004–2008), focusing on system management and resource allocation. Key research interests include: - Energy-efficient optical networks and survivable routing strategies - Grid middleware interoperability and modular design - Large-scale distributed storage and computational frameworks for scientific experiments - Formal methods for process calculi applied to mobile objects and distributed systems Recent work emphasizes cloud provider connectivity for research networks and traffic-aware elastic optical networks. Media coverage highlights his contributions to supercomputing energy efficiency and climate modeling infrastructure. Notable projects include building distributed Tier-1 computing centers for LHC data storage and analyzing network requirements for high-throughput scientific workflows. His work bridges theoretical foundations with practical implementations in distributed systems.

Norbert Eickerمشاهده پروفایل

استاد

• Modular Supercomputer Architecture
• HPC Middlewares
• System Architecture

Norbert Eicker serves as Professor at Bergische University of Wuppertal and Head of the Research Group "Software for Modular Supercomputers" at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich. His research specializes in advanced computing infrastructure with core competencies in: Modular Supercomputer Architecture HPC Middlewares development and optimization High-performance System Architecture design As a Principal Investigator in Helmholtz Information Program 1, Topic 2, he contributes to Germany's national strategy for computational science advancement through the Helmholtz Association framework. His work addresses critical challenges in creating flexible, scalable supercomputing environments that can adapt to diverse scientific workloads while maintaining performance efficiency. Based at Forschungszentrum Jülich's facilities in Building 16.3, Room 203, he operates within one of Europe's premier supercomputing environments that supports multidisciplinary research across the continent.

Richard Browerمشاهده پروفایل

استاد

• Lattice Field Theory
• Quantum Computing
• High-Performance Computing
• +۵ مورد دیگر

Richard Brower is a Professor in the Department of Electrical and Computer Engineering at Boston University's College of Engineering, with an affiliated faculty role in the Department of Physics. His research focuses on numerical lattice field theory, quantum computing, and high-performance computing for exascale supercomputers. He holds a PhD in Physics from the University of California. Education: B.S. Physics, Harvard University, 1963 M.A. Applied Math, Harvard University, 1964 PhD, Physics, University of California, 1968 Research Interests: Brower advances multi-grid software for exascale systems, explores quantum computing applications for qubit and analog hardware, and investigates quantum physics in particle, string, and gravity contexts. His work includes stealth dark matter studies, Lorentzian conformal field theories, and lattice QCD simulations. Publications Trends: His recent articles address lattice quantization methods, stealth dark matter spectra, and conformal symmetry in 2D/3D Ising models. He frequently integrates geometric and topological approaches with computational physics. Scientific Awards: A.P. Sloan Research Fellow (1974–1976) Past Managing Editor, International Journal of Computational Physics Advising & Grants: Brower collaborates on DOE exascale computing projects and leads efforts in multigrid algorithms for fermion calculations. His work spans lattice gauge theory applications in quantum computers and beyond-Standard-Model physics. Labs/Teams: Affiliated with BU's computational physics and quantum computing research groups, contributing to national HEP computing initiatives.

Nooshin Estakhriمشاهده پروفایل

استاد

• Quantum Physics
• Quantum Computing
• Semiconductor Physics
• +۲ مورد دیگر

Dr. Nooshin Estakhri is a Professor at the Fowler School of Engineering at Chapman University. Her research focuses on quantum technologies, semiconductor physics, and quantum information processing, with a recent emphasis on advancing quantum dot spin systems for scalable quantum computing. Scientific Recognition: Editors’ Suggestion by Physical Review Research (2024) Research Interests: Dr. Estakhri’s work addresses challenges in modular quantum architectures, combining analytical techniques and numerical modeling to achieve high-fidelity entangling interactions in semiconductor spin qubits. Her findings contribute to optimizing quantum processors for future quantum computing applications. Contributions: Her research enables engineers to tackle problems beyond classical supercomputers in computation, metrology, and communication. The Fowler School of Engineering highlights her dual role in both classroom teaching and cutting-edge research.

Ujjwal Sinhaمشاهده پروفایل

پژوهشگر

• High Performance Computing
• Performance Optimization
• Modular Supercomputing Architectures
• +۱ مورد دیگر

Dr. Ujjwal Sinha is a researcher at the Jülich Supercomputing Center (JSC) , part of Forschungszentrum Jülich GmbH. His work focuses on cutting-edge computational technologies and systems. His areas of expertise include: High Performance Computing Performance Optimization Modular Supercomputing Architectures GPU Programming Contact details: Phone: +49 2461/61-8930 Address: Wilhelm-Johnen-Straße 52428 Jülich, Germany

• High-Performance Computing
• Parallel Computing
• Distributed Systems
• +۶ مورد دیگر

Marc Snir is a Professor at the University of Illinois’s Siebel School of Computing and Data Science. He has led significant research contributions in high-performance parallel computing, including work on the Message Passing Interface (MPI) and IBM’s SP scalable parallel system. As Department Head from 2001–2007, he oversaw the transition to the Siebel Center and expanded the department’s capabilities. He later served as the first director of the Illinois Informatics Institute, chief software architect for the Blue Waters supercomputer, and co-director of the Universal Parallel Computing Research Center (UPCRC). His research focuses on parallel computing systems, fault resilience, and I/O optimizations. He has been recognized with the 2014 Distinguished Alumni Service Award. His work spans exascale computing, distributed systems, and machine learning applications in HPC. He has contributed to projects like Argo (an exascale OS/runtime), Aluminum (a GPU-aware communication library), and LCI (Lightweight Communication Interface). His research emphasizes improving scalability, energy efficiency, and reliability in high-performance systems. He has advised numerous students (names not listed here) and led teams in advancing HPC tools and methodologies. His involvement in initiatives like UPCRC and the Blue Waters project underscores his commitment to bridging theoretical research and practical applications in computing.

• Quantum Computing
• Quantum Algorithms
• Quantum Error Correction
• +۳ مورد دیگر

Gokul Ravi is a Professor in the Department of Computer Science and Engineering at the University of Michigan. His research focuses on quantum computing, quantum algorithms, compiler optimization for quantum systems, and computer architecture. He leads a research group emphasizing impactful research in quantum domains, with weekly one-on-one and group meetings fostering collaboration and community. Students benefit from lab lunches where they discuss projects, papers, and potential collaborations. He prioritizes clear communication, with expectations including 5-6 years of PhD tenure and 3+ top-tier publications. Research interests span variational quantum algorithms, error mitigation, quantum cloud computing, and hardware-software co-design. His work addresses challenges in fault-tolerant quantum computing, compiler passes for NISQ applications, and quantum-centric supercomputing for materials science. Recent publications highlight innovations in quantum algorithm design, error correction, and hybrid systems. Students receive weekly progress updates and yearly feedback. He supports internships (up to 2) aligned with research and facilitates conference attendance via travel grants. Vacation planning is flexible but avoids deadlines. His mentoring style adapts to individual student needs, balancing independence with mentorship, particularly in early PhD stages.

Ilias S. Kotsireasمشاهده پروفایل

استاد

• Computer Algebra
• Combinatorics
• Optimization Algorithms
• +۶ مورد دیگر

Dr. Ilias S. Kotsireas is a Professor in the Department of Computer Science and Physics at Wilfrid Laurier University (WLU), Canada. He serves as Director of the CARGO (Computer Algebra Research Group) lab and Editor-in-Chief of the Journal of Algebraic Combinatorics . His research focuses on computational mathematics, combinatorics, optimization algorithms, and symbolic computation. Kotsireas is a Fellow of the Institute of Combinatorics and its Applications (ICA, 2004) and has held leadership roles in organizations like ACM SIGSAM and the ACA Working Group. He maintains adjunct appointments at the Athena Research Center (Greece) and the University of Waterloo, and is a Principal Scientist at ORCCA (Ontario Research Centre for Computer Algebra). His work integrates computer algebra systems with SAT solvers to address complex combinatorial problems, such as Hadamard matrices and Golay pairs. Recent research explores neurosymbolic frameworks, blockchain economics, and machine learning applications in algebraic geometry. Education: Advanced degrees in Mathematics/Computer Science (not explicitly listed, inferred from roles). Research Interests: Computer algebra systems, combinatorial search, algorithm portfolios, cryptographic protocols, and computational neuroscience applications. His contributions span theoretical advancements (e.g., Legendre pair algorithms) and practical tools (e.g., Maple-based software). Kotsireas collaborates internationally, organizing conferences like ACA and publishing in venues such as Journal of Symbolic Computation and SpringerPlus . His lab, CARGO, emphasizes supercomputing and interdisciplinary projects. Awards: Fellow of the Institute of Combinatorics and its Applications (ICA), 2004 Labs & Teams: Leads the CARGO lab and affiliated with ORCCA, focusing on computational algebra and high-performance computing.

Fred Chongمشاهده پروفایل

استاد

• Quantum Computing
• Computer Architecture
• Computer Security
• +۴ مورد دیگر

Fred Chong is the Seymour Goodman Professor of Computer Science at the University of Chicago and Chief Scientist for Quantum Software at Infleqtion. He leads the NSF-funded EPiQC Project, aiming to bridge theoretical quantum algorithms with practical hardware. His research spans quantum computing, computer architecture, security, and sustainable computing. Chong holds a PhD from MIT (1996) and previously served at UC Davis and UCSB. He has been awarded the NSF CAREER Award, IEEE Fellow distinction, and over a dozen best paper awards. His work includes co-founding Super.tech (acquired by ColdQuanta) and advising on the National Quantum Initiative. Education: PhD in Computer Science from MIT (1996). Past roles include Chancellor’s Fellow at UC Davis (1997-2005) and Professor/Director at UCSB (2005-2015). Research focuses on quantum software/hardware co-design, quantum algorithms, and practical quantum systems. His team develops tools like WESTPA for weighted ensemble simulations and collaborates on projects like the Greenscale Center for Energy-Efficient Computing. Awards include the Quantrell Award (teaching) and University of Chicago’s Graduate Teaching and Mentoring Award. Key grants total over $80M led/co-led. Labs/groups include the EPiQC Consortium, Systems Group, and CERES Center for Unstoppable Computing. Recent work includes scaling quantum networks, improving qubit reliability, and applying quantum computing to drug discovery and oncology.

• Computational Biology
• Bioinformatics
• Genomics
• +۴ مورد دیگر

Charles A Blatti III serves as a Teaching Assistant Professor within the Biomedical and Translational Sciences program at the Carle Illinois College of Medicine, University of Illinois Urbana-Champaign. His academic role includes instructing advanced coursework such as BSE 686 - Data Science Project (Longitudinal), reflecting his integration of computational methodologies into biomedical education. Affiliated with the National Center for Supercomputing Applications (NCSA), he contributes to projects advancing cancer evolution research toolboxes. Dr. Blatti's research spans computational biology and bioinformatics with emphases on genomic analysis, machine learning applications in biomedicine, and systems-level understanding of disease mechanisms. His work bridges gene regulatory network modeling, cancer genomics (particularly prostate cancer), viral immunology (influenza and SARS-CoV-2), and neurogenomic responses to social behavior. He develops explainable AI frameworks for genomic data interpretation and investigates transcriptional disruptions across diverse biological contexts. Analysis of his publication record reveals consistent innovation in computational approaches for biomedical data, with recent work focusing on machine learning-driven identification of disease mechanisms, cross-species genomic comparisons, and tools for interpretable genomic analysis. His research demonstrates strong translational potential in cancer therapeutics, infectious disease response, and precision medicine applications. No scientific awards were documented in the provided information. While specific advising details and grant funding were not disclosed, Dr. Blatti's involvement in NCSA-affiliated cancer evolution projects indicates collaborative research efforts. His longitudinal data science course suggests active mentorship in computational biomedical training. Dr. Blatti participates in NCSA initiatives advancing cancer evolution research toolboxes, indicating engagement with high-performance computing resources for genomic analysis. His work connects clinical medicine with computational innovation through the Carle Illinois College of Medicine's translational framework.

Zoya Vallariمشاهده پروفایل

استادیار

• Neutrino Physics
• Long-baseline neutrino oscillations
• Experimental Particle Physics
• +۴ مورد دیگر

Zoya Vallari is an Assistant Professor of Physics at the Ohio State University specializing in experimental particle physics with focus on neutrino phenomena. She joined the faculty on January 1, 2025, and works on flagship US experiments including NOvA and DUNE. Ph.D. Physics, Stony Brook University, 2018 M.S. Physics, Indian Institute of Technology Bombay, 2012 B.S. Physics (Hons.), St. Stephen's College Delhi, 2010 Dr. Vallari's research centers on neutrino physics , particularly long-baseline neutrino oscillations which provide insights into physics beyond the Standard Model. Her work addresses fundamental questions including neutrino mass ordering and leptonic CP violation , with implications for understanding the matter-antimatter asymmetry in the universe. She combines data from NOvA and T2K experiments to measure neutrino mixing parameters and break degeneracies between mass ordering and CP violation measurements. Her research program spans four interconnected areas: neutrino oscillations, neutrino-nucleus interactions, detector development, and high performance computing. She measures neutral current neutrino interactions producing single neutral pions, develops modular liquid argon detector technologies for DUNE, and creates GPU-optimized simulation tools like the larnd-sim package which achieves three orders of magnitude speed-up compared to CPU implementations. 2024 Leona Woods Lecturership Award for contributions to neutrino oscillation experimental physics Dr. Vallari actively contributes to the DUNE collaboration's detector development, particularly testing the 2x2 grid modular liquid argon detector prototype at Fermilab's NuMi beam facility. Her computational work focuses on preparing analysis frameworks for DUNE's unprecedented data volumes using next-generation GPU-powered supercomputers. She collaborates with international teams across multiple institutions to advance neutrino physics capabilities. Her laboratory work involves characterizing detector performance in neutrino beams and developing analysis techniques for neutrino interaction data. She participates in joint analyses between major neutrino experiments to enhance measurement precision and is involved in testing novel pixel charge readout technologies that provide unambiguous 3D particle tracking in liquid argon time projection chambers.

Ann Sychterzمشاهده پروفایل

استادیار

• Structural Engineering
• Sustainable and Resilient Infrastructure Systems
• Adaptive Structures
• +۳ مورد دیگر

Ann Sychterz is an Assistant Professor at the University of Illinois Urbana-Champaign in the Civil and Environmental Engineering department. She leads the SMARTI Lab, focusing on adaptive structures, tensegrity systems, and machine learning for civil infrastructure. Her research integrates computational design with experimental validation to create deployable systems for climate resilience. PhD, Swiss Federal Institute of Technology Lausanne (2018) M.A.Sc, University of Waterloo (2014) B.A.Sc, University of Waterloo (2012) Her research interests span structural dynamics, form-finding, machine learning, and adaptive infrastructure. Recent work involves MLRAM materials for tensegrity structures, origami-based coastal anchors, and sensor-actuator optimization. 2024-2025 highlights include a Visiting Professorship at University of Stuttgart and SEAOI Outstanding Young Engineer Award . Key trends across her 2023-2025 publications include: Advancements in tensegrity and origami structural modeling Integration of machine learning for damage detection Functionally graded materials for geotechnical applications Experimental validation of full-scale deployable systems Scientific recognition includes: ASCE SEI Future Leaders Award (2024) Best Paper/Poster Awards (2021-2025) NSERC and Ontario Graduate Scholarships Leadership roles in ASCE Technical Committees She advises PhD students in structural control, oversees the SMARTI Lab, and collaborates with the Beckman Institute and National Center for Supercomputing Applications. Her work addresses climate-driven infrastructure challenges through deployable, biomimetic designs.