جست‌وجوی استاد و پژوهشگر

Brian H. Chenمشاهده پروفایل

پژوهشگر

• Aging
• Epigenetics
• Genomics
• +۳ مورد دیگر

Brian H. Chen, PhD, MPH is a Scientist at the California Pacific Medical Center Research Institute and an Affiliate at the University of California San Francisco. His research focuses on the development and validation of genomic, molecular, and algorithmic biomarkers of aging, with particular expertise in epigenetic clocks as measures of biological aging. Previously, he served as Chief Science Officer of a biotech start-up and completed postdoctoral training at the National Institute on Aging, the Framingham Heart Study, and UCLA. Dr. Chen's research interests span Aging, Epigenetics, Genomics, Biomarkers, and Machine Learning . His work bridges epidemiological studies with advanced computational approaches to develop and validate biomarkers that predict health outcomes and mortality. He has made significant contributions to understanding how DNA methylation patterns can serve as reliable indicators of biological aging processes across diverse populations. His publication record demonstrates a consistent focus on aging biomarkers, with recent work addressing foundational principles of biological aging, translation challenges for biomarkers, and cross-tissue applications of epigenetic clocks. His 2024 publication in Nature Medicine on biomarker validation represents a significant contribution to establishing standards for translating aging biomarkers into clinical practice. Dr. Chen maintains active research collaborations as evidenced by his extensive co-authorship network across major aging studies including the Framingham Heart Study, Women's Health Initiative, and multiple international consortia. His work frequently appears in high-impact journals including Nature Communications, Genome Biology, and Aging.

Molly Megrawمشاهده پروفایل

دانشیار

• Transcription Factors
• Machine Learning
• Arabidopsis
• +۶ مورد دیگر

Molly Megraw is an Associate Professor at Oregon State University's College of Agricultural Sciences , affiliated with the Department of Botany and Plant Pathology , Molecular and Cellular Biology Program , and Center for Genome Research and Biocomputing . She also collaborates with the Department of Electrical Engineering and Computer Science. Education : Ph.D. in Bioinformatics (2007) from the University of Pennsylvania Her research integrates computational biology , machine learning , and plant genomics to study: Transcriptional regulation of Pol-II genes and miRNAs in plants Network motif analysis in TF-miRNA circuits Chromatin accessibility and promoter identification via nanoCAGE Synthetic biology applications in plant systems Recent publications focus on: Salinity stress responses in rice miRNA editing in human cancer Network motif discovery algorithms PlantSimLab modeling platform Scientific accomplishments include: NSF CAREER Award (2018) for machine learning models of gene regulation MiRGen database development for miRNA genomic organization She supervises graduate students in Biological and Physical Sciences (BPP) and teaches computational courses like BDS 470/570 Introduction to Computing in the Life Sciences . Her lab maintains active collaborations across plant biology and computational disciplines.

Swarnendu Biswasمشاهده پروفایل

استادیار

• Programming Languages
• Compilers
• Runtime Systems
• +۷ مورد دیگر

Swarnendu Biswas is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He teaches courses including Programming for Performance (CS 610), Analysis of Concurrent Programs (CS 636), and Compiler Design (CS 335), demonstrating his expertise across multiple areas of computer systems. His research interests center on Programming Languages, Compilers, Runtime Systems, and Parallel Software Systems. He leads the PROSPAR (Programming Languages and PARallel Systems) research group, which focuses on developing techniques to build efficient and correct parallel software through program analysis, compiler optimizations, and runtime systems. His recent publications reveal a strong trend in addressing fundamental challenges in parallel computing, with work spanning cache coherence, false sharing detection, data race analysis for GPUs, verification of neural networks, and thermal-aware management of heterogeneous systems. His research bridges theory and practice with significant contributions to both hardware and software aspects of parallel systems. His scientific achievements have been recognized through multiple prestigious awards: Google India Research Award 2021 Google Explore CSR 2022 Research Grant from Intel Corporation SERB Start-up Research Grant 2019 Google Cloud Platform Research Credits (2019, 2020) IITK Initiation Grant 2019 As an advisor, he mentors several PhD and MTech students working on cutting-edge research in parallel systems. His PROSPAR group has secured significant funding from industry and government sources, supporting innovative research in programming languages and parallel systems. The group actively collaborates with industry partners including Google and Intel, addressing real-world challenges in parallel computing. He leads the PROSPAR research group at IIT Kanpur, which brings together faculty, PhD students, and MTech researchers to tackle challenging problems at the intersection of programming languages, compilers, and parallel systems. The group maintains strong industry connections and focuses on practical solutions that can be deployed in real systems.

François-Raymond Boyerمشاهده پروفایل

دانشیار

• Computer Architecture
• VLSI Systems
• Microelectronics
• +۴ مورد دیگر

François-Raymond Boyer is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a B.Sc. and Ph.D. from Université de Montréal and teaches courses in programming and digital audio. His research spans: Computer architecture and VLSI systems Network processing and traffic management Digital audio signal processing Hardware acceleration and optimization He is affiliated with ReSMiQ (Strategic Cluster for Microsystems) and OICRM (Music Research Observatory). Recent publications focus on 5G network processing, modular programming frameworks, and high-speed traffic management architectures, primarily in IEEE Access and IEEE Transactions on VLSI Systems. Professor Boyer has supervised 3 PhD and 6 Master's students, with research topics including network architecture, audio processing, and hardware design. No scientific awards are mentioned in the available records.

• Optical Communications
• All-Optical Regeneration
• Clock Recovery
• +۵ مورد دیگر

Vincent Roncin is an Assistant Professor (Maître de Conférences) at University of Paris 13, affiliated with the Laboratoire de Physique des Lasers (LPL), UMR 7538. His research focuses on optical communications, particularly all-optical signal processing techniques for high-speed telecommunications. Roncin's primary research interests span optical communications, all-optical regeneration, clock recovery mechanisms, semiconductor and quantum dot lasers, frequency metrology, and Brillouin amplification. His work bridges fundamental photonics research with practical telecommunications applications, particularly in high-speed optical networks requiring precise timing and signal quality. He has made significant contributions to understanding patterning effects in clock recovery systems and developing techniques for frequency stability transfer using advanced laser technologies. His publication record shows a consistent research trajectory from 2003 to 2022, with recent work focusing on frequency stability transfer using quantum dash lasers and fiber-based ring cavities. The publications demonstrate a progression from fundamental optical regeneration techniques to more specialized frequency metrology applications, reflecting both depth and evolution in his research focus. His work primarily appears in high-impact optics and photonics journals including IEEE Journal of Quantum Electronics, Optics Express, and Applied Optics. Roncin maintains active collaborations with researchers across France and internationally, particularly with institutions in Rennes and Dublin. His research has practical applications in optical telecommunications, precision metrology, and high-speed data transmission systems. He completed his PhD at University of Rennes 1 in 2004 with a thesis on optical functions based on semiconductor optical amplifiers for telecommunications signal regeneration. In 2019, he obtained his Habilitation à diriger des recherches (HDR) from University of Paris 13 with research on self-pulsing semiconductor lasers and their applications to optical telecommunications and frequency metrology. Roncin works within the Laboratoire de Physique des Lasers, a research unit (UMR 7538) that focuses on atomic physics, quantum gases, laser development, and optical metrology. His experimental work utilizes specialized optical laboratories including experimental space L312 at University of Paris 13.

• Random Number Generation
• Signal Synchronization
• Telecommunications
• +۶ مورد دیگر

Professor Mieczysław Jessa is a distinguished faculty member at Poznań University of Technology, serving in the Faculty of Information Technology and Telecommunications within the Institute of Multimedia Telecommunications. With a scientific discipline focused 100% on Information and Communication Technology, he has established himself as a leading researcher in random number generation, signal synchronization systems, and spectrum sensing techniques. His research interests center around hardware-based random number generators for cryptographic applications, precise synchronization of oscillators using GNSS signals, and advanced spectrum sensing methodologies. Professor Jessa's work bridges theoretical foundations with practical implementations, particularly in telecommunications security and precision timing systems. His recent publications demonstrate continued innovation in applying machine learning to spectrum sensing and developing low-complexity random number generation solutions for FPGAs. Professor Jessa maintains an active publication record with multiple articles in 2024-2025, reflecting his ongoing research contributions. His work spans both theoretical aspects of stochastic processes and practical implementations in measurement systems and secure communications. As an academic supervisor, Professor Jessa has guided doctoral research in areas including FPGA-based random sequence generation and spectrum sensing techniques, with documented supervision of three doctoral students through 2019. His technical contributions include the development of synchronization systems like the DST-16 clock distributors and SP-4000 measurement systems, demonstrating the practical application of his research in real-world telecommunications infrastructure.

Clément QUINTONمشاهده پروفایل

دانشیار

• Computer Science
• Parallel Computing
• High-Level Synthesis
• +۳ مورد دیگر

Clément QUINTON is an Associate Professor at the University of Lille, affiliated with both Inria and the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille). He is an elected member of the laboratory council and maintains offices in both the Inria building (Room B312) and the M3 building (Room 224) at the Cité Scientifique campus. Dr. QUINTON is a member of the Spirals research team and holds the HDR (Habilitation à Diriger des Recherches), a French academic qualification that allows him to supervise PhD students. Dr. QUINTON's research spans several areas within computer science, with a primary focus on parallel computing, polyhedral models, and hardware acceleration. His work bridges theoretical computer science with practical applications in embedded systems and biomedical monitoring. He has made significant contributions to the fields of: Polyhedral compilation and loop optimization techniques High-level synthesis for FPGA-based hardware acceleration Systolic array design and parallel architectures Disruption-tolerant wireless sensor networks for biomedical applications Sustainable software engineering and cloud configuration Application of Large Language Models to software development Analysis of Dr. QUINTON's publication history reveals a consistent research trajectory that began with foundational work in parallel algorithms and systolic arrays, evolving toward more contemporary applications involving FPGA acceleration, polyhedral compilation, and biomedical sensor networks. His recent work shows increasing interest in sustainable computing, cloud architectures, and the application of Large Language Models to software engineering challenges. This evolution demonstrates his ability to adapt theoretical computer science concepts to address emerging technological challenges. Dr. QUINTON has supervised numerous PhD students whose research aligns with his expertise: Virginie Amand: Sustainable software services using large-scale models Alexandre Bonvoisin: Frugal software architectures for cloud-native microservices Tristan Coignion: Energy impact of Large Language Models for code Edouard Guegain: Software optimization through configuration (defended September 2023) Brell Péclard Sanwouo Chekam: Automatic detection and correction of side-channel vulnerabilities in cryptographic libraries Nada Zine: Complex and self-adaptive software systems Maxime Huyghe: Sustainable software services development based on Language Models (LLM) As a member of the Spirals research team at Inria and CRIStAL, Dr. QUINTON contributes to a collaborative environment focused on software engineering, system architecture, and sustainable computing. His work bridges theoretical computer science with practical applications in healthcare monitoring, cloud computing, and energy-efficient software development.

Michael Elowitzمشاهده پروفایل

استاد

• Synthetic Biology
• Genetic Circuits
• Noise in Gene Expression
• +۴ مورد دیگر

Michael Elowitz is a Professor of Biology, Bioengineering, and Applied Physics at the California Institute of Technology (Caltech) and an HHMI Investigator, appointed since 2003 after completing his academic training. His educational background includes a Ph.D. in Physics from Princeton University (1999) and postdoctoral research at the Rockefeller University. Dr. Elowitz's research pioneers the quantitative analysis of genetic circuit design principles in living cells. He founded synthetic biology through the Repressilator—a three-gene repressor circuit generating clock-like oscillations in bacteria—and systematically investigated how stochastic noise governs cellular decision-making, differentiation, and developmental evolution. Current work integrates synthetic biology with multicellular signaling, memory mechanisms, and pattern formation dynamics. His major recognitions include: Packard Fellowship for Science and Engineering Searle Scholars Award MacArthur Fellowship ("Genius Grant") HFSP Nakasone Award for interdisciplinary life sciences As an HHMI Investigator, Dr. Elowitz directs substantial research funding toward innovative projects exploring fundamental biological principles. His laboratory at Caltech serves as a hub for quantitative systems biology, training researchers in experimental and theoretical approaches to genetic networks. The Elowitz Lab maintains active research programs in synthetic circuit engineering, noise quantification in gene expression, and developmental patterning mechanisms across bacterial and eukaryotic systems.