جست‌وجوی استاد و پژوهشگر

Francisco Mouraمشاهده پروفایل

دانشیار

• Systems Software
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Francisco Moura is an Associate Professor at the University of Minho, affiliated with HASLab/INESC TEC. His research focuses on Systems Software, including compiler design, operating systems, middleware, and performance optimization. He co-founded Eurotux SA, specializing in open-source software and cloud-based systems. His work emphasizes the interplay between performance metrics (efficiency, availability) and software system architecture. Research interests span distributed systems, database replication protocols, and mobile agent architectures. Notable contributions include studies on partial replication in databases, fault-tolerant group communication systems, and optimizing transaction processing in wide-area networks. Publications highlight practical applications of theoretical models, validated via network simulators and real-world benchmarks. Publications (2001–2006) address challenges in distributed computing, from mobile agent frameworks for virtual enterprises to latency-reduction techniques in WANs. No scientific awards listed, but active in industry-academia collaborations through Eurotux SA. Advising activities are unspecified in available texts. His work is anchored in HASLab/INESC TEC, a leading center for high-assurance software research.

Clare Staceyمشاهده پروفایل

دانشیار

• End-of-life care
• Palliative care
• Medical sociology
• +۳ مورد دیگر

Clare Stacey is an Associate Professor in the Department of Sociology and Criminology at Kent State University's College of Arts and Sciences. Her research examines long-term care systems, end-of-life practices, and emotional labor in healthcare. She earned her Ph.D. from the University of California Davis in 2004. Her scholarly contributions include the award-winning book The Caring Self: The Work Experiences of Home Care Aides (Cornell University Press, 2011) and the edited volume Caring on the Clock (Rutgers University Press, 2015). Research interests: Sociocultural dimensions of palliative and hospice care Structural barriers in end-of-life services Emotional labor in paid caregiving professions Healthcare inequities affecting marginalized populations Her recent publications demonstrate a consistent focus on empathy in medical training, cultural perceptions of hospice care, and systemic challenges in long-term care workforce development.

Svenja Knappeمشاهده پروفایل

عضو هیئت علمی

• Quantum Technologies
• Microfabrication
• Magnetic Sensing
• +۳ مورد دیگر

Svenja Knappe is an Associate Research Professor at the University of Colorado Boulder, affiliated with the Department of Mechanical Engineering and previously serving as an adjunct professor in Psychology and Neuroscience. She leads research in quantum sensor technologies, particularly microfabricated atomic magnetometers for biomedical, aerospace, and industrial applications. Her work includes developing portable magnetoencephalography (MEG) systems using optically pumped magnetometers (OPMs), enabling non-invasive brain imaging and neurological diagnostics. She co-founded FieldLine to commercialize these innovations and collaborates with the National Institute of Standards and Technology (NIST). Education: B.Sc. (1998) and Ph.D. in Physics (2001) from Rheinische Friedrich-Wilhelms-Universität (Germany). Dissertation focused on dark resonance clocks and magnetometers. Research emphasizes miniaturized quantum sensors for applications ranging from CubeSat-based Earth magnetic field mapping to medical devices like fetal magnetocardiography. Her interdisciplinary approach integrates microfabrication, frequency control, and novel packaging techniques. Ongoing projects include the Compact Spaceborne Magnetic Observatory (COSMO) CubeSat mission and magnetic communication systems using atomic magnetometers. Key collaborations involve the CUBit Quantum Initiative (funded through a seed grant for chip-scale atomic clocks) and the HUNTER sterile neutrino search experiment. She holds patents on atomic magnetometer designs and related technologies.

Lian Zhaoمشاهده پروفایل

استاد

• Wireless Communications
• Edge Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Lian Zhao is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University. She holds a Ph.D. from the University of Waterloo and has been with the university since 2003. Her research focuses on wireless communications, edge computing, vehicular networks, and resource management. She is a Fellow of the IEEE and multiple professional organizations. Education: B.Sc. (Civil Aviation University of China, 1990), M.S. (Wuhan University, 1993), Ph.D. (University of Waterloo, 2002), all in electrical engineering. Research Interests include green communication, IoT, centralized/distributed resource management, and incentive mechanisms. She leads the Intelligent Communication and Computing Laboratory and teaches courses such as Digital Communications and Random Processes. Awards include the IEEE VTS Best Land Transportation Paper Award (2016 and 2024), Outstanding New Leader Award (2021), and CFI New Opportunity Award (2004). She serves as an editor for multiple journals, including IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal. Advising: Supervised over 30 graduate students, including Ph.D. and Master’s candidates in areas like vehicular networks, edge computing, and resource allocation. Active in funded research projects on 6G networks, UAV communications, and smart grid systems. Labs/Teams: Leads the Intelligent Communication and Computing Lab, contributing to innovations in vehicular ad-hoc networks, IoT, and green communication technologies.

R. Kirk Pirloمشاهده پروفایل

استادیار

• Electrospinning
• Biomaterials
• Blood-brain barrier
• +۵ مورد دیگر

R. Kirk Pirlo is an Assistant Professor in the Department of Chemical and Materials Engineering at the University of Dayton. Previously, he served as a National Research Council Postdoctoral Research Fellow at the U.S. Naval Research Laboratory (NRL) and as Federal Research Biologist and Principal Investigator at NRL from 2011–2019. He also held the role of Government Chief Technology Officer for BioFabUSA (2015–2019). Education: Ph.D., Bioengineering, Clemson University B.S., Physics, West Virginia University Research interests span Biomaterials Development , Biofabrication , and Blood-Brain Barrier Modeling . He specializes in Laser-Assisted Bioprinting , Electrospinning , and Biochip Arrays for scalable tissue engineering and pharmaceutical testing. Scientific contributions include pioneering Biopaper Substrates , Modular Bioreactors , and Multilayer Biological Constructs . His work focuses on translating advanced manufacturing techniques into practical medical solutions. Scientific Awards: NRL Karle Fellowship (2011) National Research Council Postdoctoral Fellowship (2009) Edmund and Rose Rotter Scholarship in Physics (2004) Professional affiliations include the International Society for Biofabrication, Material Research Society, Tissue Engineering and Regenerative Medicine International Society (TERMIS), Society for Biomaterials, and Biomedical Engineering Society. His LinkedIn and Google Scholar profiles highlight patents and publications in bioprinting, bioreactors, and tissue engineering.

• Wireless Communications
• Integrated Sensing and Communications (ISAC)
• Millimeter-wave Systems
• +۷ مورد دیگر

Kai Wu is an Associate Professor at Xidian University's School of Electronic Engineering, working within the MOE Key Laboratory of Intelligent Perception and Image Understanding in Xi'an, China. His research spans wireless communications, integrated sensing and communications (ISAC), and signal processing, with a particular focus on millimeter-wave systems, radar signal processing, and MIMO technologies. He maintains strong collaborative ties with international researchers, particularly with J. Andrew Zhang, Y. Jay Guo, and Xiaojing Huang from institutions including University of Technology Sydney. Dr. Wu's research interests center on the integration of communication and sensing technologies, with significant contributions to frequency-hopping MIMO radar-based communications, angle-of-arrival estimation, and RIS-assisted ISAC systems. His work addresses critical challenges in wireless communications including spectrum efficiency, channel modeling in complex environments, and the development of energy-efficient communication systems. Recent research has expanded into transformer-based deep learning approaches for signal processing applications and the application of magnetic particle spectroscopy in biomedical contexts. Analysis of Dr. Wu's publication record reveals a strong focus on practical implementations of theoretical concepts, with numerous experimental validations of proposed communication and sensing techniques. His work demonstrates a clear progression from fundamental signal processing techniques to integrated communication-sensing systems, with increasing emphasis on RIS-assisted technologies and machine learning applications in recent years. The interdisciplinary nature of his research spans telecommunications engineering, signal processing, and biomedical applications. Dr. Wu has established himself as a leading researcher in the field of integrated sensing and communications, with over 40 publications in top-tier IEEE journals and conferences. His collaborative network includes prominent researchers in wireless communications, and he serves as a frequent reviewer for major IEEE publications in his field. While specific grant information isn't detailed in the available records, his extensive publication output suggests successful funding from national research programs in China.

Todd Michaelمشاهده پروفایل

استاد پژوهشی

• Plant Genomics
• Climate Change Mitigation
• Plant Biochemistry
• +۴ مورد دیگر

Todd Michael, PhD, is a Research Professor at the Salk Institute for Biological Studies, leading the Plant Molecular and Cellular Biology Laboratory. He focuses on leveraging genomic and computational tools to understand plant adaptation and genome structure. His work includes sequencing complex plant genomes, such as Oropetium thomaeum and Spirodela polyrhiza , to uncover mechanisms enabling plants to thrive in harsh environments. As part of the Harnessing Plants Initiative, he develops 'Salk Ideal Plants' to sequester atmospheric carbon via enhanced root systems. Michael holds a BA from the University of Virginia and a PhD from Dartmouth College, with postdoctoral training at the Salk Institute under Joanne Chory. His research interests span plant genomics, circadian clock regulation, and synthetic biology applications. Key innovations include pioneering the use of duckweed as a model system and discovering novel nitrogen acquisition strategies in carnivorous plants. Awards include the 2016 Volwiler Society Fellowship and recognition as a 'Tomorrow’s PI' in 2008. Michael’s lab employs cutting-edge sequencing technologies and bioinformatics to advance plant science. Collaborations include the development of tools like OrthoBrowser for gene family analysis and contributions to projects like the cannabis pangenome study. His team also investigates microbial interactions in plants and marine organisms, contributing to broader ecological insights.

Jason Stalnakerمشاهده پروفایل

استاد

• precision atomic spectroscopy
• femtosecond frequency combs
• atomic magnetometers
• +۴ مورد دیگر

Jason Stalnaker is a Professor of Physics at Oberlin College, affiliated with the Department of Physics and Astronomy within the College of Arts and Sciences. He holds a PhD in Physics from the University of California, Berkeley (2005), and has held a National Research Council Postdoctoral Fellowship at the National Institute of Standards and Technology (NIST) in Boulder, Colorado (2005–2007). His research focuses on precision atomic spectroscopy using femtosecond frequency combs and optical magnetometry, particularly in the context of dark matter detection through collaborations like the Global Network of Optical Magnetometers for Exotic physics (GNOME) and the Search for Non-Interacting Particles Experiment (SNIPE). Education: BA (1998), MA (2000), and PhD (2005) in Physics from UC Berkeley. His postdoctoral work at NIST advanced his expertise in optical frequency measurements and atomic physics. Recent courses include Electricity, Magnetism, Thermodynamics, Quantum Mechanics, and Statistical Mechanics. Research Interests: Precision atomic spectroscopy of lithium and potassium isotopes, development of optical frequency combs for high-precision measurements, and detection of exotic dark matter candidates via atomic magnetometry. His work has been supported by NSF grants, including awards for dark matter research and atomic magnetometer networks. Collaborations: Active roles in GNOME and SNIPE, aiming to detect dark matter signatures through global magnetometer networks and wilderness-based magnetic field measurements. Recent publications address hidden-photon and axion dark matter detection, as well as parity violation studies in ytterbium. Grants and Awards: NSF awards (e.g., 1305591, 1707803) and NIST Precision Measurements Grant (2008–2012). Students have contributed to NSF-funded projects, including dark matter research and precision spectroscopy experiments. Labs/Teams: Leads the atomic magnetometry and frequency comb research group at Oberlin, collaborating with institutions like Cal State East Bay and NIST. Current projects include SERF magnetometer development and dark matter signal analysis.

Loig Jezequelمشاهده پروفایل

دانشیار

• Model Checking
• Distributed Systems
• Formal Methods
• +۵ مورد دیگر

Loig Jezequel is an Associate Professor at the University of Nantes, teaching in the Computer Science Department of the IUT de Nantes and conducting research in the Real-Time Systems team at LS2N (Laboratory of Computer Science and Networks). His research focuses on formal methods for distributed systems, including model checking, Petri net analysis, and automated verification techniques. He earned his Ph.D. in 2012 under the supervision of Éric Fabre at IRISA, Rennes, France. **Research Interests**: Model Checking and Verification of Distributed Systems Petri Nets and Unfolding Techniques Lazy Reachability Analysis Factored Planning and Optimal Algorithms Algorithm Design for Concurrent Systems **Key Contributions**: Developed tools like Distoplan (for distributed optimal planning) and LaRA (lazy reachability analyzer) Co-organizer of the Model Checking Contest (MCC) since 2015 and SynCoP workshop since 2019 Recipient of a PHC Procope grant for distributed model-checking research (2016–2017) **Grants & Collaborations**: ANR project PACS Collaborations with Javier Esparza (Technische Universität München), Didier Lime (LS2N), and others **Labs/Teams**: Active member of the Real-Time Systems group at LS2N and the MExICo team at LSV (Cachan).

Ferdinand von Meyennمشاهده پروفایل

استادیار

• Epigenetics
• Nutrition
• Metabolic Disease
• +۳ مورد دیگر

Prof. Dr. Ferdinand von Meyenn is an Assistant Professor at the Department of Health Sciences and Technology at ETH Zürich. He leads the Laboratory of Nutrition and Metabolic Epigenetics, focusing on the interplay between nutrition, metabolism, and epigenetic regulation in health and disease. His research spans topics such as epigenetic memory in adipose tissue, stem cell reprogramming, and the metabolic consequences of obesity. Key projects include developing novel iron delivery platforms using oat protein nanofibrils and investigating the role of histone modifications in aging mechanisms. His work integrates multi-omics approaches, including spatial transcriptomics and single-cell analysis, to uncover how environmental factors like diet and metabolic stress influence epigenetic landscapes. Recent studies highlight his team’s contributions to understanding how mitochondrial dysfunction contributes to neurological disorders and how microalgae can address micronutrient deficiencies sustainably. Publications emphasize translational applications, such as reversing beta-cell dysfunction in type 2 diabetes and creating age predictors using chromatin accessibility (ATAC-clock). Collaborations with clinical microbiology units suggest interdisciplinary engagement in translational research.

• Analog and Mixed-Signal Integrated Circuits
• RF and mm-Wave IC Design
• Data Converters (ADC/DAC)
• +۴ مورد دیگر

Yong Chen is a full Professor at the University of Macau within the State Key Laboratory of Analog and Mixed-Signal . He received his PhD in 2010 from the Chinese Academy of Sciences, Institute of Microelectronics . Prior to his current role, he held appointments at Nanyang Technological University (2010-2013) and Tsinghua University (2010). His research spans analog, mixed-signal, RF and mm-wave integrated circuits with emphasis on data converters, phase-locked loops, energy-harvesting systems, computing-in-memory accelerators, and silicon-photonics interfaces . He has consistently published in premier venues such as ISSCC, JSSC, TCAS-I/II, TVLSI , and CICC , demonstrating expertise from device-level circuits to system-level architectures. Recent work (2023-2025) showcases advances in: Ultra-high-speed DACs and ADCs (>16 GS/s) with record SFDR and FoM Computing-in-Memory processors achieving 258 TOPS/W for AI inference Energy-harvesting rectifiers with >22 dB dynamic range and >47 % peak PCE mm-wave/THz CMOS circuits for imaging and 5G/6G communications Ring-oscillator and sampling PLLs with sub-50 fs jitter and He serves on technical program committees and as guest editor for flagship journals, and collaborates extensively with leading groups worldwide, including those at Texas Tech University, Huazhong University of Science and Technology, and Nanjing University, among others.

Yuka Asaiمشاهده پروفایل

دانشیار

• Allergy
• Genetics
• Epidemiology
• +۵ مورد دیگر

Dr. Yuka Asai is an Associate Professor and Division Chair of Dermatology at Queen's University. She holds cross-appointments at the Translational Institute of Medicine (TIME) and the School of Medicine within the Faculty of Health Sciences. Her research focuses on allergy, genetics, and epidemiology, particularly the interplay between skin health and systemic diseases, including the role of filaggrin mutations in peanut allergy. She has pioneered studies on the genetic and epigenetic basis of food allergies and skin-related systemic interactions. Education: BSc (First Class Honors, University of Alberta), MD (University of Saskatchewan), MSc in Epidemiology (McGill University), PhD (McGill University, 2018). Completed dermatology residency and training at McGill. Research interests include atopic dermatitis, epigenetic markers in skin diseases, and clinical guideline development. She leads initiatives on patient education, such as the PEEPS study, and investigates disparities in melanoma diagnosis. Her work bridges clinical practice and translational research, emphasizing evidence-based dermatology. Teaching: Known for engaging clinical and didactic training of residents and students. Services include consultation at Kingston General Hospital and outpatient care at Hotel Dieu Hospital. Grants and collaborations: Focus on food allergy genetics (e.g., START registry), epigenetic aging in atopic dermatitis, and population health studies on skin cancer. Active in national and international allergy and dermatology networks.

Visvesh S Satheمشاهده پروفایل

دانشیار

• Energy-Efficient Computing
• Implantable Electronics
• Power Management Systems
• +۵ مورد دیگر

Visvesh S. Sathe is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. Previously, he served as Associate Professor at the University of Washington (2013-2022) and held roles at AMD (2007-2013), where he contributed to energy-efficient microprocessor design. His research focuses on energy-efficient computing, implantable electronics, and closed-loop neural interfaces. He leads the Processing Systems Lab (PSyLab), exploring computational techniques for hardware optimization in digital and mixed-signal systems. Education: B.Tech from IIT Bombay; M.S. and Ph.D. from the University of Michigan, Ann Arbor. Research Interests: Energy-efficient IC design, power management architectures, bi-directional neural interfaces, adaptive baseband processing, and SoC optimization. His work emphasizes run-time control of clocking, voltage regulation, and thermal management. Key Awards: NSF CAREER Award (2019), Intel Outstanding Researcher Award (2021), and IEEE Distinguished Lecturer (2021-2022). Notable contributions include the first resonant-clocked production processor and adaptive clocking for supply droop mitigation. Advisees/Grants: While specific grant details aren't provided, his lab’s work is funded by NSF and industry partnerships. His research spans from circuit-level innovations to system-level integration, with applications in biomedical and high-performance computing. Labs/Teams: PSyLab at Georgia Tech drives interdisciplinary projects in energy-efficient systems and neural interfaces, collaborating with industry and academic partners globally.

Keith Marzulloمشاهده پروفایل

استاد

• Cybersecurity
• Data Privacy
• Socio-Technical Systems
• +۳ مورد دیگر

Keith Marzullo is the Dean of the University of Maryland's College of Information (INFO) since 2016, leading its strategic growth in technology-driven education and research. He holds a Ph.D. in Electrical Engineering from Stanford University and previously served at the White House OSTP and National Science Foundation. As an ACM Fellow, his research focuses on socio-technical systems, cybersecurity, and affective computing, including wearable technologies for emotion regulation. Education A.B. in Physics, Occidental College M.S. in Applied Physics, Stanford University Ph.D. in Electrical Engineering, Stanford University Research Focus Marzullo's work bridges technology and human needs, emphasizing cybersecurity's human dimension and developing assistive technologies like the WEHAB system for emotion regulation. His contributions include foundational protocols in distributed systems, such as the Xerox Research Internet Clock Synchronization protocol. Recent Contributions His 2020–2023 publications emphasize personalized health technologies, interdisciplinary LIS collaboration, and evaluating affective computing interventions. Earlier work (2013–2015) addressed distributed system challenges in cloud and data center resilience. Awards & Leadership ACM Fellow (2016) Edsger W. Dijkstra Prize in Distributed Computing (2012) Advisory Board Member, NSF Office of International Science and Engineering Academic Leadership Marzullo has held faculty roles at UC San Diego (as Computer Science Chair), Cornell, and the University of Tromsø. His deanship has expanded INFO's partnerships and academic programs while fostering research in emerging tech fields. Key Projects CREDENCE: Secure distributed systems collaboration WEHAB: Wearable emotion regulation systems

Arpita Yadavمشاهده پروفایل

پژوهشگر ارشد

• Plant Biology
• Molecular Biology
• Light Signaling Pathways
• +۳ مورد دیگر

Dr. Arpita Yadav is a Research Fellow in the Department of Biology at Pennsylvania State University, working in the Cosgrove Lab. Her research focuses on plant cell biology, light signaling pathways, and environmental stress responses with a particular emphasis on model organisms like Arabidopsis and Marchantia. She investigates molecular mechanisms underlying cell wall dynamics, hormonal regulation, and developmental processes. Her work integrates metabolomics, genetic analyses, and biochemical approaches to study topics such as microtubule organization, UV-B tolerance, and temperature-induced growth responses. Recent studies explore interactions between phytohormones and light signals in seedling development, including the role of PIF transcription factors and BBX proteins in photomorphogenesis. Key research contributions include discoveries about histone-mediated metabolic adjustments in fruit development and the functional divergence of PIF proteins in stress responses. Her findings advance understanding of plant adaptation mechanisms at cellular and organismal levels. Dr. Yadav's publications highlight interdisciplinary approaches to plant biology, combining classical genetics with modern metabolomics and systems biology techniques. Her current projects aim to elucidate how environmental cues are integrated at the molecular level to regulate plant growth and stress resilience.