جستجوی استاد راهنمای دانشگاهی

Dr. Saikat Jana is a Lecturer in Mechanical Engineering at the School of Engineering, Ulster University, Belfast. He holds a PhD in Engineering Mechanics from Virginia Tech (2013), an MSc in Mechanical Engineering from the University of Florida (2008), and a Bachelors in Technology from National Institute of Technology Durgapur (2007). His academic career includes postdoctoral roles at the University of Glasgow, Massachusetts Institute of Technology (Skoltech Initiative), Newcastle University, and the University of Leeds. PhD: Engineering Mechanics, Virginia Tech (2013) MSc: Mechanical Engineering, University of Florida (2008) BSc: Technology, National Institute of Technology Durgapur (2007) His research focuses on soft-active matter, particularly microbial behavior in bacterial biofilms, using advanced techniques such as microscopy, microfluidics, and rheology. He investigates length-scale transitions from single cells to biofilm collectives, aiming to control microbial interactions for human health and environmental solutions. Current projects include Pathogen Transport and Distribution (Royal Society, 2025-2027), Nanoparticle Transport in Cystic Fibrosis Biofilms (Department for the Economy, 2024), and Ultrafast Bacteria Detection with Acoustics (2023-2024). Key publication trends highlight his expertise in Biofilm Rheology , Marine Biofouling Prevention , and Microswimmer Dynamics . His work aligns with UN Sustainable Development Goals, particularly in health and environmental sustainability. Projects and grants include: Pathogen Transport and Distribution (Royal Society, 2025-2027) Transport of nanoparticles and nano swimmers in cystic fibrosis biofilms (Department for the Economy, 2024) Ultrafast detection of foodborne bacteria with acoustics (2023-2024)

• Soft-Active Matter
• Bacterial Biofilms
• Microbial Rheology
• +۵ مورد دیگر

Renu John is a Professor in the Department of Biomedical Engineering at Indian Institute of Technology Hyderabad . He earned his Ph.D. in Physics (Optics) from IIT Delhi in 2006 and has held postdoctoral positions at Duke University and University of Illinois . He leads the Medical Optics and Sensors Laboratory (MOS) and co-founded the Center for Healthcare Entrepreneurship (CfHE) , focusing on affordable healthcare solutions for India. Research Interests : Biomedical Imaging, Optical Coherence Tomography (OCT), Digital Holography, AI/ML in Diagnostics, Microfluidic Biosensors, 3D Bioprinting, Nanoparticle-based Imaging, Optical Elastography. Awards : Best Paper & Poster Awards at international conferences (2018-2019), Samsung Innovation Award (2018) for smartphone-based oral cancer detection. Grants : Lead investigator for an ICMR Center of Excellence (15.2 Cr funding) in Medical Devices and Diagnostics. Students : Mentored over 20 researchers, including current and alumni Ph.D. candidates working on OCT, microfluidics, AI-driven imaging, and biosensor development. Labs & Innovations : The MOS Lab develops cutting-edge technologies like lensless microscopes, FF-OCT systems, and dual-modality biosensors. His team has filed 18 patents and published 117 international journal articles, with projects spanning from in vivo magnetomotive imaging to organ-on-chip platforms for disease modeling.

• Biomedical Imaging
• Optical Coherence Tomography
• Nanoparticles
• +۸ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Professor Joohoon Kim is a distinguished faculty member in the Department of Chemistry at Kyung Hee University's College of Sciences in Seoul, Korea. With expertise in analytical chemistry and nanomaterials, he leads a research group focused on developing advanced electrochemical sensors and nanotechnology applications for chemical detection and biosensing. His educational background includes: Ph.D. in Analytical Chemistry, University of Texas at Austin, TX, 2007 M.S. in Analytical Chemistry, Seoul National University, Seoul, Korea, 2000 B.A. in Management, Korea National Open University, Seoul, Korea, 2003 B.S. in Chemistry Education, Seoul National University, Seoul, Korea, 1998 Professor Kim's research spans analytical chemistry, nanomaterials, and electrochemistry with emphasis on dendrimer-encapsulated nanoparticles, electrochemiluminescence, and surface modification techniques. His work has made significant contributions to electrochemical biosensors, DNA analysis platforms, and nanomaterial-based detection systems. The laboratory develops innovative approaches for chemical and biological sensing with applications in environmental monitoring and biomedical diagnostics. His publication record shows consistent innovation in graphene-based materials, dendrimer-nanoparticle composites, and electrochemiluminescence applications. The research demonstrates sophisticated surface modification techniques for enhanced electrochemical detection, particularly focusing on ITO electrodes modified with various nanomaterials for improved sensor performance while maintaining optical transparency. Professor Kim has received numerous prestigious awards: Korean Chemical Society - Division of Analytical Chemistry Chemistry Award for Young Analytical Chemist (2013) Korean Chemical Society - Division of Analytical Chemistry Distinguished Service Award (2011) American Chemical Society - Division of Analytical Chemistry Graduate Fellowship (2007) Membership Award in AAAS Program from Science Magazine (2006) LabAutomation Travel Award (2006) Professor Kim has mentored numerous graduate students through their Master's and PhD programs, with several successful graduates working at prominent Korean institutions including Samsung, LG, and SK. His research has been supported by various grants, including funding from the National Research Foundation of Korea as indicated by references to '한국연구재단 기초연구실' in his laboratory announcements. His laboratory at Kyung Hee University maintains active research in nanomaterial synthesis, electrochemical sensor development, and surface modification techniques, with facilities in Room 803 of the Space21 Science Building. The lab maintains collaborations with researchers both domestically and internationally, contributing to the advancement of analytical chemistry and nanotechnology applications.

• Analytical Chemistry
• Nanomaterials
• Electrochemistry
• +۵ مورد دیگر

Dr. Sang Hyun Lee serves as an Assistant Professor in the Department of Microbiology at the University of Massachusetts Amherst . Contact: sanghyunlee@umass.edu | Lab: 101 Morrill Science Center IVN | Phone: 413-545-9363 PhD in Chemical and Biological Engineering from Seoul National University (2017) Research Focus : Microbe-fluid interactions across natural, engineered, and clinical systems using microfluidics (Lab-on-a-chip), confocal microscopy, and numerical simulations. Key areas include: Porou Media Biofilm Dynamics - Investigating flow-biofilm mutual interactions affecting groundwater, water treatment, and medical infections Clogging Mechanisms - Studying pore-scale fluid dynamics and nutrient transport in biofilm systems Sustainable Biotechnology - Developing bioremediation and anti-biofilm solutions with microfluidic chips and bioreactors Research Translation : Bridging lab-scale discoveries (microfluidic chips, soil columns) with industrial-scale implementations for climate action and resource sustainability. Notable work includes quorum quenching strategies for biofouling control in membrane bioreactors across various temperature regimes. Publication Trends (2013-2024): Focus on membrane biofouling prevention, fluid dynamics in microbial systems, and quorum sensing disruption. 67% of recent publications (2020-2024) address biofilm-fluid interactions under operational stressors, while 33% explore material innovations for membrane processes. Lab Infrastructure : 101 Morrill Science Center IVN | Research Group: Biofilm Engineering Lab | Collaborations: Environmental Biotechnology, Chemical Engineering, and Geobiology

• Environmental Microbiology
• Microbial Biotechnology
• Microfluidics
• +۳ مورد دیگر

Kyle P. Quinn is a Professor at the Department of Biomedical Engineering, College of Engineering, University of Arkansas. He leads a multidisciplinary research group developing quantitative biomarkers for non-invasive tissue diagnostics, with a focus on skin wound healing and aging. Education : Postdoctoral Fellow at Tufts University, Ph.D. from University of Pennsylvania, and B.S. from University of Wisconsin-Madison. Research Focus : Integrates biomedical optics, cell biology, biomechanics, and bioinformatics to create label-free diagnostic tools. Specializes in multiphoton microscopy, deep learning algorithms, and collagen microstructure analysis for chronic wound detection and skin aging studies. Article Trends : Recent work emphasizes AI-driven wound analysis, multiscale tissue modeling, metabolic imaging in skin and cancer, and engineering solutions for calcific valve disease. Scientific Awards Solomon R. Pollack Award for Graduate Bioengineering Research NIH Ruth L. Kirschstein Postdoctoral Fellowship NIH Pathway to Independence K99/R00 Award NIH R01 Grant NSF CAREER Award Grants : Externally funded by NIH (R00EB017723, R01AG056560, R01EB031032), Department of Defense (W81XWH-17-1-0194, W81XWH-17-C-0169), NSF (1846853), and Arkansas Biosciences Institute. Lab Information : The Quinn Lab recruits postdoctoral, graduate, and undergraduate researchers in biomedical optics, animal models, and data science. Lab facilities include advanced microscopy and computational tools for tissue analysis.

• Biomedical Optics
• Wound Healing
• Skin Aging
• +۴ مورد دیگر

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +۴ مورد دیگر

Dr. Daniel Southworth is a Professor in the Department of Biochemistry and Biophysics at the University of California San Francisco (UCSF), affiliated with the Institute for Neurodegenerative Diseases (IND). He earned his BS from UC Santa Cruz and PhD from Johns Hopkins University, followed by postdoctoral training at UCSF. His research focuses on molecular chaperones and protein quality control mechanisms relevant to neurodegenerative diseases like Alzheimer’s and Parkinson’s. Using cryo-electron microscopy (cryo-EM), his lab investigates chaperone machinery structure-function relationships, amyloid aggregation pathways, and therapeutic strategies targeting molecular chaperones. Key research areas include: (1) Structural biology of chaperones like Hsp90, CHIP, and Hsp104; (2) Mechanisms of tau and α-synuclein aggregation; and (3) Development of cryo-EM techniques for studying protein complexes. Recent work has revealed novel filament structures in neurodegenerative diseases and identified polyphosphate’s role in amyloid formation. His lab pioneered studies on VCP/p97 AAA+ ATPases and their adaptors, elucidating their roles in protein quality control. Collaborations include CRISPR-based screening in iPSC-derived neurons and drug design targeting chaperone-driven proteostasis. Notable contributions include cryo-EM structural analysis of SARS-CoV-2 proteins and methodological advancements in cryo-EM imaging using K3 cameras. Current research emphasizes translating structural insights into therapeutic approaches for neurodegenerative disorders.

• Molecular Chaperones
• Protein Quality Control
• Neurodegenerative Diseases
• +۳ مورد دیگر

Stephan Sylvest Keller is a Professor in the Department of Micro- and Nanotechnology at the Technical University of Denmark (DTU), affiliated with the National Centre for Nano Fabrication and Characterization and DTU Nanolab. His research lies at the intersection of materials science, microfabrication, and biomedical engineering, focusing on the development of 3D pyrolytic carbon microsystems for biosensing, neural interfaces, and bioenergy applications. His research interests include biomaterial microsystems , nanofabrication , microelectrode design , bioelectrochemical systems , and drug delivery platforms . He leverages advanced fabrication techniques such as additive manufacturing and lithography to create functional 3D carbon structures for applications in brain-on-a-chip , microsupercapacitors , and microbial energy harvesting . The recent articles highlight a strong trend in developing 3D pyrolytic carbon electrodes for electrochemical applications, spanning neuroscience, environmental remediation, and sustainable energy. Keywords across these works include bioelectrochemistry, microfabrication, and functional materials, with subfields ranging from retinal implants to microbial fuel cells and on-chip energy storage. He actively supervises multiple PhD students and leads cutting-edge projects such as INSECTS (Interdigitated Solar Electrochemical Capacitors) and MIRACLE (Microbial syntRophic metAbolism of CO2 on 3D carbon microeLectrodes for biohExanol production). His work contributes to UN Sustainable Development Goals related to clean energy and good health. His laboratory, embedded within DTU Nanolab, specializes in cleanroom-based micro- and nano-fabrication, focusing on translating engineered microsystems into biomedical and environmental applications. The team collaborates widely across disciplines, including microbiology, electrochemistry, and clinical neuroscience.

• Biomaterial Microsystems
• Nanofabrication
• Microfabrication
• +۱۲ مورد دیگر

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +۶ مورد دیگر

Dr. Gungun Lin is a Senior Lecturer and Senior Research Fellow at the School of Mathematical and Physical Sciences, University of Technology Sydney (UTS). He is also a core member of the Institute for Biomedical Materials and Devices (IBMD). His academic journey includes a Master of Science from the University of Ulm (Germany) and a PhD (Summa Cum Laude) from Chemnitz University of Technology (Germany). Dr. Lin’s research focuses on microfluidics, lab-on-a-chip technologies, magneto-MEMS, and biomedical applications of smart micro/nanorobots. He has led over $6M in research funding, including ARC DECRA and NHMRC fellowships. Research Interests: Dr. Lin’s work spans fundamental and applied aspects of microfluidics, magnetic microrobots, biosensing, and functional nanomaterials. He investigates magneto-electrical properties of nanostructures for sensing and actuation, and develops high-dimensional bioanalysis tools using advanced materials and microfabrication techniques. Recent projects include in vivo imaging systems, wearable sensors, and tumor organoid models for drug screening. Grants & Awards: He has secured major grants including ARC Discovery Projects (DP250101003), NHMRC Early Career Fellowships, and ARC IDEAL Hub funding. His awards include the 2024 Vice Chancellor's Award for Research Excellence and 2023 Dean’s Award for Science & Collaboration. Teaching & Supervision: Dr. Lin teaches courses like Chemistry & Materials Science and Advanced Nanomaterials. He supervises PhD/Master’s students in microfluidics, microrobotics, and biomedical engineering. Notable supervisees include Zelyu Chen (PhD candidate, 2023–present) and Guocheng Fang (PhD alumnus). Labs & Collaborations: His lab is part of UTS’s ARC High-throughput Device Fabrication Facility. Collaborations span industries and institutions like the Australia-China Joint Research Center for Point-of-Care Testing and the NHMRC.

• Microfluidics
• Lab-on-a-Chip Technologies
• Magneto-MEMS
• +۵ مورد دیگر

Dr. Somali Chaterji is an Associate Professor in the Department of Agricultural & Biological Engineering at Purdue University, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. Her research bridges data science, digital agriculture, and computational genomics, focusing on machine learning for IoT, edge computing, and scalable genomics analysis. She leads the Innovatory for Cells and Neural Machines (ICAN), developing algorithms for efficient data analytics in resource-constrained environments. Education: PhD in Biomedical Engineering (Purdue University), Postdoctoral Fellowship at University of Texas at Austin. Awards include the NSF CAREER Award (2022), ACM BCB Best Paper (2015), and Purdue Seed-for-Success Award (2016). She founded KeyByte LLC, a cloud computing startup optimizing ML workloads. Research spans IoT edge analytics (e.g., drone surveillance, embedded systems) and genomics (single-cell clustering, error correction in sequencing). She is Co-PI of the NSF CHORUS Center and A2I2 Army Institute. Over 20 students are advised, with active projects on serverless computing, federated learning, and genome engineering. Labs/Teams: ICAN Lab, WHIN project (Lilly Endowment), Purdue ABE Extension. Collaborations with Microsoft, Amazon, and Adobe Research. Active in teaching, including courses on applied ML and computational genomics with innovative pedagogy.

• Data Science
• Digital Agriculture
• Computational Biology
• +۶ مورد دیگر

Rene Gerritsma is an Associate Professor at the Institute of Physics within the Faculty of Science at the University of Amsterdam, where he leads the Hybrid atom-ion Quantum Systems research group. His work focuses on quantum phenomena in ultracold atom-ion mixtures and trapped ion quantum computing, with significant contributions to reaching the quantum regime in hybrid systems and developing novel quantum simulation techniques. Education: 1997-2002: Physics, University of Groningen 2002-2007: PhD in Physics, University of Amsterdam (Thesis: Permanent magnetic atom chips and Bose-Einstein condensation) Research Focus: Gerritsma's group pioneers experiments with ultracold lithium atoms and ytterbium ions to study quantum entanglement, Bose-Einstein condensation, and quantum phase transitions in hybrid systems. They specialize in using optical tweezers to engineer soundwave modes in 2D ion crystals for quantum simulation, with applications in quantum error correction and spin liquid modeling. Recent work explores Rydberg-dressed interactions and chemical reactions in atom-ion mixtures at quantum degenerate temperatures. Publication Trends: His 2010-2022 publications reveal a progression from fundamental atom-ion interaction studies to advanced quantum computing applications. Key themes include buffer gas cooling breakthroughs (2020), Rydberg atom-ion interactions (2019), and optical tweezer-based quantum gate engineering (2017-2022), demonstrating increasing sophistication in controlling quantum systems for computation and simulation. Scientific Awards: Marie-Curie fellowship (2007) ERC starting grant (2013) Vidi grant (NWO) (2015) NWO Startup grant (2017) NWO Vici grant (2021) Advising and Funding: Gerritsma has supervised three PhD students to completion (Trimby, Mazzanti, Hirzler) and secures major research funding through competitive grants. His group receives primary support from the European Research Council (ERC Starting Grant) and Dutch Research Council (NWO Vici, Startup, Projectruimte grants), with additional funding through the Vrije Programma Atomic Quantum Simulators 2.0. Laboratory Operations: Based at Science Park 904 in Amsterdam, his experimental lab combines Paul ion traps with ultracold atom systems, featuring spatial light modulators and acousto-optical deflectors for optical tweezer control. The group collaborates internationally through QuSoft and participates in workshops like the 2024 Workshop on Quantum Mixtures of Atoms and Ions.

• Quantum Physics
• Ultracold Atoms and Ions
• Quantum Computing
• +۲ مورد دیگر

Herbert Bos is a Full Professor at Vrije Universiteit Amsterdam, holding positions in the Faculty of Science (Computer Systems department), the Network Institute, and the Systems and Network Security group. His research focuses on hardware and software security, including transient execution attacks, memory exploitation, and vulnerability detection. He has authored over 229 research outputs, including influential papers on Spectre mitigation, Rowhammer attacks, and fuzzing techniques. Notable contributions include frameworks like PANDAcap and BinRec. Bos teaches courses such as Binary and Malware Analysis and Operating Systems. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure security. Education details are not explicitly provided, but his academic titles (prof. dr. ir.) suggest advanced degrees in computer science and engineering. Ancillary activities include roles as an author for Pearson textbooks and a member of the Kiesraad in The Hague. Research interests emphasize cutting-edge hardware vulnerabilities (e.g., Spectre, Rowhammer), memory safety, and automated testing (fuzzing). Recent work highlights practical defenses against transient data leaks (Phantom Trails) and data-only attacks. Collaborations span international institutions, reflecting his global influence in cybersecurity. Publications since 2016 showcase advancements in CPU architecture security, kernel exploitation, and embedded device defenses. His datasets (e.g., PANDAcap SSH Honeypot) provide foundational resources for the security community. Grants and lab affiliations are inferred through his research outputs and teaching roles.

• Cybersecurity
• Computer Security
• Hardware Security
• +۶ مورد دیگر

Sherief Reda is a Professor of Engineering and Computer Science at Brown University's School of Engineering. He leads the SCALE lab, focusing on energy-efficient computing, digital chip design, embedded systems, and machine learning applications. His research bridges hardware design and combinatorial optimization, with over 130 publications and five US patents. Reda has secured $21M+ in research funding from NSF, DoD, DARPA, and industry partners like Samsung and Intel. Education: PhD in Computer Science & Engineering, UC San Diego (2006) MS in Computer Science, Ain Shams University (2000) BS in Computer Science, Ain Shams University (1998) Research Interests: His work spans resource-efficient AI, approximate computing, and interdisciplinary applications in social sciences. Recent projects include chemical-based computing and thermal management for high-performance chips. Reda's lab explores machine learning for combinatorial optimization, with practical applications in logistics and hardware design. Publications & Awards: Over 130 articles in top venues like IEEE Transactions and Nature Communications. Recipient of the NSF CAREER Award (2021) and IEEE Fellow (2020). His work on energy-efficient computing earned him the AAIA Fellowship. Grants & Collaborations: Principal Investigator on NSF, DoD, and industry-funded projects. Collaborators include Prof. Kim (Chemistry) and Prof. Rose (Engineering). Reda also serves as an Amazon Scholar and expert witness in patent litigation. Labs & Teams: Directs the SCALE lab, which develops open-source EDA tools and novel thermal simulation frameworks like PACT. His team pioneered techniques like ABACUS for approximate circuit synthesis and LoCool for energy efficiency in servers.

• Machine Learning
• Computer Architecture
• Energy Efficiency
• +۵ مورد دیگر