جستجوی استاد راهنمای دانشگاهی

Scott J Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at the University of Texas at Austin , where he explores the theoretical foundations of quantum computing and computational complexity theory . A pioneer in the field, he has bridged quantum physics, computer science, and mathematics to clarify the capabilities and limitations of quantum computers. A summa cum laude graduate of Cornell University and holder of a PhD from UC Berkeley , Aaronson has shaped public understanding through his popular blog Shtetl-Optimized , his book Quantum Computing Since Democritus , and TED Talks. His research has established critical insights into: Quantum Supremacy : Theoretical frameworks for experimental validation without full fault tolerance Cryptographic Security : Demonstrating quantum lower bounds for collision problems Classical Complexity : The invention of algebrization as a tool for complexity class analysis Awarded the ACM Prize in Computing (2020) , ACM Fellow (2019) , and the Simons Investigator Award , his work has been recognized as foundational to the digital age. He has also mentored graduate students in quantum complexity theory, with projects advancing topics like Boson Sampling , Forrelation , and Quantum Zero-Knowledge Protocols . Scientific Awards: ACM Prize in Computing (2020) ACM Fellow (2019) Tomassoni-Chisesi Prize in Physics (2018) Simons Investigator Award (2017) Alan T. Waterman Award (2012) Aaronson’s advocacy for Deep Zionism and reflections on AI’s existential implications reflect his broader engagement with ethics and societal impact in technology.

• Quantum Computing
• Computational Complexity Theory
• Theoretical Computer Science
• +۴ مورد دیگر

Jaejin Lee is a Professor in the Department of Computer Science and Engineering at Seoul National University (SNU) and serves as the Director of the Center for Manycore Programming and Multicore Computing Research Laboratory. He holds a BS in Physics from SNU (1991), an MS in Computer Science from Stanford University (1995), and a PhD in Computer Science from the University of Illinois at Urbana-Champaign (1999), where his research was supported by IBM and Korea Foundation for Advanced Studies fellowships. Research Focus: His work centers on heterogeneous computing systems with expertise in GPU/FPGA programming, deep learning compiler architectures, PyTorch/TensorFlow optimization, and quantum computing simulation environments. Key areas include parallelization techniques and performance enhancement for machine learning frameworks. Publications: His research output demonstrates consistent focus on GPU efficiency, compiler-directed optimizations, and distributed computing, with recent emphasis on deep learning acceleration and error resilience in heterogeneous architectures. Awards & Honors: IEEE Fellow IBM Graduate Fellowship Korea Foundation for Advanced Studies Graduate Fellowship Leadership: Directs the Multicore Computing Research Laboratory and Center for Manycore Programming, focusing on next-generation parallel computing architectures.

• Programming systems of heterogeneous machines
• Parallelization and optimization of deep learning frameworks
• Deep learning compilers/architectures
• +۱ مورد دیگر

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +۳ مورد دیگر

Myra Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering in the Department of Computer Science at Iowa State University. Previously, she held the position of Susan J. Rosowski Professor at the University of Nebraska-Lincoln where she was a member of the ESQuaReD software engineering research group. She serves on the ASE Steering Committee and has held leadership roles including general chair of ASE 2015 and program co-chair for ICST 2019 and ESEC/FSE 2020. Dr. Cohen earned her Ph.D. from the University of Auckland, New Zealand, her M.S. from the University of Vermont, and her B.S. from the School of Agriculture and Life Sciences at Cornell University. Her academic journey includes lecturing positions at both the University of Auckland and University of Vermont during her graduate studies. Her research spans several interconnected domains focused on software quality and assurance. A significant portion of her work addresses software testing challenges in highly-configurable systems, where she applies search-based techniques and combinatorial designs to create efficient test suites. More recently, her research has expanded into innovative areas including software testing for biological systems, quantum computing applications, and security testing through genetic improvement techniques. Her work demonstrates a consistent theme of addressing complex verification challenges through creative application of formal methods and automated techniques. Analysis of her recent publications reveals a growing focus on emerging domains including quantum software testing, molecular/biological computing systems, and assurance cases for safety-critical systems. She has increasingly incorporated AI techniques, particularly large language models, into traditional software engineering problems while maintaining her foundational work in configurable systems and metamorphic testing. NSF CAREER award recipient AFOSR Young Investigator Award recipient ACM Distinguished Scientist Recipient of 4 ACM Distinguished Paper awards Dr. Cohen has served as chair and committee member for numerous conferences including ASE, ICSE, ISSTA, ESEC/FSE, and ICST. She has mentored numerous students through the doctoral symposiums and student research competitions at major software engineering conferences. Her research has been supported by significant grants including those from NSF and AFOSR. She leads the LaVA-OPs (Laboratory for Variability-Aware Assurance and Testing of Organic Programs) research group at Iowa State University, which focuses on testing challenges in biological and organic computing systems.

• Software Testing
• Configurable Software
• Search-based Software Engineering
• +۳ مورد دیگر

Fuyuki Ishikawa is an Associate Professor at the Information Systems Architecture Science Research Division of the National Institute of Informatics (NII) in Tokyo, Japan, where he also serves as Director of the GRACE Center. Additionally, he holds positions as Associate Professor at Sokendai (The Graduate University for Advanced Studies) and Visiting Associate Professor at The University of Electro-Communications. His research program, which he describes as 'Trustworthy & Smart Software Engineering,' focuses on dependability in Cyber-Physical Systems and Machine Learning Systems through techniques of formal methods and automated test generation. He investigates verification, reasoning, optimization, automated test generation, and self-adaptation by utilizing various models for requirements, specifications, and designs. His group promotes international and industry-academia collaborations with members from different organizations. Ishikawa's recent work has increasingly concentrated on quantum program testing, autonomous driving systems verification, and quality assurance frameworks for AI systems. His publications demonstrate significant contributions to software engineering, particularly in applying formal methods to emerging domains like quantum computing and machine learning. His research often bridges theoretical foundations with practical applications in safety-critical contexts, particularly for autonomous systems. Awards for Science and Technology (Research Category) from the Minister of Education, Culture, Sports, Science and Technology (April 2024) IPSJ/IEEE Computer Society Young Researcher Award for 'Research on Intelligence-driven Engineering of Dependable Smart Systems' (March 2020) Multiple Best Paper Awards at conferences including ICFEM 2020, SEKE 2020, ICECCS 2019, and ISSRE 2019 Industry Track Best Artifact Award at ISSTA 2015 Ishikawa actively supervises research projects and interns through the ERATO-MMSD Project and MIRAI-eAI Project. He has served on numerous program committees for major software engineering conferences including ASE, ICSE, and ICST, and has organized workshops on machine learning systems engineering (SIG-MLSE) and quality assurance for AI systems (QA4AI). His laboratory provides two main research directions: generative AI for trustworthy software engineering and testing/trust exploration for AI systems, with specific focus on autonomous driving and deep learning applications.

• Software Engineering
• Testing
• Formal Methods
• +۴ مورد دیگر

Andreas Juul Bay-Smidt is a PhD fellow in the Department of Chemistry at the University of Copenhagen's Faculty of Science, based at Universitetsparken 5, 2100 Copenhagen Ø. His research focuses on computational approaches to quantum systems and molecular thermal dynamics. His primary research interests span Quantum Chemistry , Computational Physics , and Materials Science , with specialized work in quantum simulation algorithms and phonon transport engineering. Recent publications demonstrate expertise in fault-tolerant quantum computing frameworks and molecular-scale thermal management solutions using heavy-atom strategies. Analysis of his 2025 publications reveals a strong trend toward interdisciplinary computational methods , bridging quantum information science with condensed matter physics and materials design. Key thematic areas include error-resistant quantum simulations and nano-engineered thermal control mechanisms. No scientific awards or student advisement activities are documented in the available materials. Research appears conducted within collaborative frameworks, evidenced by multi-institutional authorship on recent publications, though specific lab affiliations are not stated.

• Quantum Chemistry
• Computational Physics
• Materials Science
• +۳ مورد دیگر

Berker Peköz serves as Assistant Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University's College of Engineering. His expertise spans wireless communications, artificial intelligence security, and hardware systems, with significant contributions to 5G/6G technologies and aerospace applications. His educational foundation includes: B.S. in Electrical & Electronics Engineering M.S. in Electrical Engineering Ph.D. in Electrical Engineering Research focuses on cutting-edge intersections of communications and AI, particularly transformer model security, antenna-based authentication, and error-correction for emerging hardware. His work bridges theoretical innovation with practical aerospace implementations, evident in patents for antenna array geometries and publications addressing real-world challenges like contested IoT environments and spectral efficiency. Recent publications (2019-2025) show accelerating output with increasing emphasis on AI security frameworks. Scientific recognition includes: National Academy of Inventors membership (2019) Tau Beta Pi honor society induction (2018) Funding is evidenced through patent activity and consistent publications, though specific grants aren't detailed. He mentors students through undergraduate courses (EE 307 Avionics I, EE 327 Electrical Engineering Fundamentals) with likely graduate research supervision in communications security. His interdisciplinary approach connects electrical engineering fundamentals with next-generation AI and aerospace systems, positioning students for careers in secure communications and hardware innovation.

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +۵ مورد دیگر

Baptiste Royer serves as an Assistant Professor in the Department of Physics at the University of Sherbrooke, where he maintains active research and teaching responsibilities. His academic foundation includes advanced degrees earned entirely at this institution, complemented by international postdoctoral training. His scholarly work centers on cutting-edge quantum information science with three primary pillars: Quantum Computing architecture and algorithms Quantum Error Correction methodologies Quantum Optics applications These interconnected research streams position him at the forefront of developing fault-tolerant quantum technologies through both theoretical frameworks and experimental implementations. Dr. Royer's professional engagement extends to digital platforms including LinkedIn and Twitter, facilitating academic collaboration and knowledge dissemination within the global quantum research community. His campus presence is anchored at office location D9-2017 with direct contact channels maintained through the university's communication systems.

• Quantum Computing
• Quantum Error Correction
• Quantum Optics

Milad Marvian serves as an Assistant Professor in the Department of Electrical & Computer Engineering at the University of New Mexico, where he joined in 2020. He is also an active member of the Center for Quantum Information and Control (CQuIC), contributing to one of the leading quantum information research centers in the United States. Dr. Marvian's research spans theoretical aspects of quantum computation with a strong emphasis on quantum error correction and quantum algorithms. His work explores critical connections between quantum computing theory and practical implementation challenges, particularly in the areas of quantum optimal control and open quantum systems. His research group has made significant contributions to fault-tolerant quantum computing, quantum simulation algorithms, and quantum machine learning approaches. His recent publications reveal a strong focus on quantum error correction techniques, quantum algorithm development, and quantum information theory. The research demonstrates expertise across multiple quantum computing paradigms, with publications appearing in top journals including PRX Quantum, Physical Review Research, and IEEE Transactions on Information Theory. His work often involves interdisciplinary collaborations with researchers from institutions including MIT, USC, and various national laboratories. NSF CAREER award recipient Current editor for Quantum journal Dr. Marvian advises a substantial research group comprising multiple PhD students, postdoctoral associates, and undergraduate researchers. His group has successfully graduated two PhD students, with one completing their defense in May 2025. His research has been supported by competitive funding mechanisms including the NSF CAREER award. His teaching portfolio includes specialized quantum information courses such as Quantum Error Correction (ECE547/PHYS581) and Introduction to Quantum Information Science (ECE445/545-PHYS480/581), in addition to more general engineering mathematics courses.

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

Dr. Rahul Trivedi is a tenured Research Group Leader in the Theory Division at the Max Planck Institute of Quantum Optics in Garching, Germany. His research focuses on theoretical quantum information and quantum science, particularly addressing challenges in noisy quantum systems and simulators. Dr. Trivedi received his undergraduate degree in Electrical Engineering from the Indian Institute of Technology Delhi, followed by MS and PhD in Electrical Engineering from Stanford University (2021). After a postdoctoral fellowship at the Max Planck Harvard Research Center for Quantum Optics, he served as an Assistant Professor of Electrical and Computer Engineering at the University of Washington before returning to MPQ as a tenured researcher in 2024. His research program spans multiple areas at the intersection of quantum information theory, many-body physics, and quantum device engineering. Key research directions include: Theory of open quantum systems and non-Markovian dynamics Quantum simulation with noisy intermediate-scale quantum (NISQ) devices Quantum error correction and fault tolerance Quantum optics theory with applications to quantum simulation and metrology Dr. Trivedi has secured significant research funding including an ERC Starting Grant for his ToNQS project (Theory of Noisy Quantum Simulation of Many-body Physics), as well as previous awards from the National Science Foundation and Department of Energy in the United States. His scientific awards and recognitions include: ERC Starting Grant: ToNQS - Theory of Noisy Quantum Simulation of Many-body Physics National Science Foundation (NSF) research funding Department of Energy (DOE) research funding Dr. Trivedi currently leads a research group consisting of three PhD students, one Master's student, and several co-advised students. His group maintains extensive collaborations with partners both within Europe and the US. With the ERC grant, additional positions for PhD students and postdoctoral researchers are becoming available. The Theory of Open Systems research group is housed in the Theory Division at the Max Planck Institute of Quantum Optics. The group actively collaborates with experimental teams to bridge theoretical frameworks with practical quantum device implementations, particularly focusing on how noise affects quantum simulation capabilities.

• Quantum Information
• Quantum Computing
• Many-body Physics
• +۵ مورد دیگر