جست‌وجوی استاد و پژوهشگر

Ana Puljkoمشاهده پروفایل

استادیار

• Antibiotic Resistance
• Environmental Microbiology
• Wastewater Treatment
• +۳ مورد دیگر

Ana Puljko serves as a Senior Assistant (equivalent to Assistant Professor) at the Ruđer Bošković Institute in Zagreb, Croatia, within the Division for Marine and Environmental Research and Laboratory for Environmental Microbiology and Biotechnology. Her work bridges environmental science and public health through rigorous investigation of antimicrobial resistance transmission pathways. Educational Background: PhD in Biotechnology, Faculty of Food Technology and Biotechnology, University of Zagreb (2024) Master of Science in Agriculture, Faculty of Agriculture, University of Zagreb (2018) Dr. Puljko's research centers on environmental antimicrobial resistance, specifically tracking high-risk clones of Enterobacterales and resistance genes in Croatian wastewater systems. Her work integrates molecular epidemiology with environmental sampling to map transmission routes of ESBL and carbapenemase producers from hospital effluents to municipal treatment plants. Early research examined agricultural microbiology, including stress resistance in Bradyrhizobium japonicum for sustainable agriculture. Analysis of her 9 journal articles (2019-2024) reveals consistent focus on wastewater as critical resistance reservoir, with 80% published since 2020. Her publications predominantly address Enterobacterales resistance mechanisms in Croatian waters, employing molecular methods to identify high-risk clones and quantify resistance gene prevalence across environmental matrices. Scientific Awards: No awards documented in available sources Dr. Puljko has supervised master's student Petra Gulan (2022) on cephalosporin resistance gene transmission in hospital wastewater. She participates in collaborative research projects on environmental resistance dissemination, though specific grant details remain unreported. Her advising reflects focus on training next-generation researchers in environmental microbiology methodologies. She operates within the Laboratory for Environmental Microbiology and Biotechnology under Professor Nikolina Udiković Kolić's leadership, contributing to Croatia's national monitoring of antimicrobial resistance in aquatic environments through coordinated sampling across Zagreb's wastewater infrastructure.

John Matthewsمشاهده پروفایل

استاد پژوهشی

• Ultra High Energy Cosmic Rays
• Astroparticle Physics
• Particle Physics
• +۵ مورد دیگر

John Matthews is a Research Professor in the Department of Physics & Astronomy at the University of Utah, where he has held academic positions since 2000, progressing from Research Assistant Professor to his current role as Research Professor since 2011. He serves as Program Manager for the Cosmic Ray physics group and is currently Co-Spokesperson for the Telescope Array project, a major cosmic ray observatory located in central Utah. Dr. Matthews earned his PhD in Physics from Rutgers University with a focus on Elementary Particle Physics, an MS in Particle Physics from the University of Wisconsin-Madison, and dual BS degrees in Physics and Math from the University of Chicago, along with an AB in Economics from the same institution. His research primarily focuses on ultra high energy cosmic rays, with significant contributions to understanding their origin, nature, and detection. Matthews leads multiple international collaborations including the Telescope Array, which consists of 60 fluorescence telescopes and nearly 900 scintillator detectors spread across 2000 sq km in Utah. His work spans astroparticle physics, high energy astrophysics, and cosmic ray detection technologies. Matthews' recent publications (2023-2025) reveal a strong emphasis on ultra high energy cosmic ray detection, terrestrial gamma-ray flashes, and space-based observation techniques. His research demonstrates an interdisciplinary approach connecting atmospheric physics, particle physics, and astrophysics, with particular focus on the relationship between cosmic rays and atmospheric phenomena like lightning. Telescope Array: Cosmic ray observatory with international collaboration from US, Japan, S. Korea, Russia, Belgium, Czech Republic, Slovenia, and Poland JEM-EUSO: Space-based cosmic ray observation program POEMMA: Future space mission for cosmic ray studies INSPIRE/HiSPARC: Educational project teaching cosmic ray research to high school students Dr. Matthews has secured multiple NASA-funded grants including JPL-CRABS (2021), JPL-SFLASH (2019), and SFLASH (2016), demonstrating sustained research funding. His educational efforts include mentoring through small student groups focused on cosmic rays and detectors, and his involvement in the INSPIRE/HiSPARC project extends his impact to high school STEM education.

• Analog electronics
• Electromagnetic compatibility (EMC)
• Power electronics
• +۲ مورد دیگر

Francesco Musolino is a Tenured Assistant Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. He serves as a member of the Power Electronics Innovation Center (PEIC) and leads the Microwave and Optoelectronics Group (MOG) . His research focuses on analog and power electronics, electromagnetic compatibility (EMC), and digital control techniques for energy-efficient systems. Doctoral Supervision: Neha Dalal (Power Management ICs), Stefano Cerutti (Power Optimizers), Ahmed Abdullah (Digital PWM), Roberto Rubino (Low-Power ICs) Key Research Areas: Analog electronics, Power electronics, Electromagnetic compatibility, Digital-to-Analog conversion, Renewable energy integration Recent publications highlight advancements in hybrid digital PWM for power converters, EMC attack mitigation in smart speakers, self-calibrating DACs, and photovoltaic power optimizers. His work spans ultra-low-power IC design , resonant converter topologies , and EMI resilience in mixed-signal systems. Selected Teaching: Advanced electronic drives, Power electronics (2019-2025) Research Leadership: VirtEM project (2024-2026) on EM simulation for sustainable vehicles

Yingshu Liمشاهده پروفایل

استاد

• Artificial Intelligence of Things (AIoT)
• Privacy-aware Computing
• Internet of Things (IoT)
• +۲ مورد دیگر

Dr. Yingshu Li is a Professor at Georgia State University’s Department of Computer Science and an affiliated faculty member at the INSPIRE Center. Her academic journey includes a B.S. from Beijing Institute of Technology, and M.S. and Ph.D. from University of Minnesota-Twin Cities. Research Interests : Artificial Intelligence of Things (AIoT) Privacy-aware Computing Internet of Things (IoT) Social Networks Wireless Networking Recent Publication Trends focus on generative AI for heterogeneous data, federated learning, blockchain for privacy in IoT, digital twin applications in vehicular networks, and privacy-aware systems. These works span computer science, artificial intelligence, and wireless communication. Scientific Awards : NSF CAREER Award recipient 2021 Outstanding Graduate Director Award 2022 N²Women: Stars in Computer Networking and Communications Included in The World’s Top 2% Scientists (2020–2024) Editorial and Leadership Roles include top-tier journal editorships (ACM Transactions on Sensor Networks, IEEE Transactions) and leadership in international conferences (Steering Committee Chair, General Chair, Program Chair). Her research has secured funding from the National Science Foundation, U.S. Department of State, and global sponsors. Dr. Li has supervised over 20 Ph.D. students, many of whom hold academic positions. She co-develops Eureka Labs, a platform for cybersecurity education.

R. Michael Buehrerمشاهده پروفایل

استاد

• Wireless Communications
• Cognitive Radar
• MIMO Systems
• +۷ مورد دیگر

R. Michael Buehrer is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He joined the faculty in 2001 and serves as Director of Wireless@VT, a comprehensive research group focused on wireless communications and radar systems. His academic journey includes a Ph.D. (1996), M.S. (1993), and B.S. (1991) from Virginia Tech and the University of Toledo, respectively. Affiliations: IEEE Fellow (2017), Director of Wireless@VT, and member of the Virginia Tech faculty. Research interests span cognitive radar, MIMO systems, interference mitigation, and 5G/6G networks. His work emphasizes localization techniques, satellite communication integration, and reconfigurable antenna design. Notable achievements include the Vanu Bose Award (2021) and contributions to wideband signal processing recognized by the IEEE. Recent publications focus on LEO satellite-based localization, reconfigurable reflectarrays, and cognitive radar networks. He has advised numerous graduate students in wireless communications and authored/co-authored over 350 journal/conference papers and 18 patents.

• Algorithms
• Order Optimization
• Graph Algorithms
• +۳ مورد دیگر

Nejib Zaguia is a Professor at the School of Computer Science and Electrical Engineering, University of Ottawa. His research focuses on algorithms, order optimization, graph algorithms, and combinatorial structures. He has contributed significantly to the study of ordered sets, graph theory, and network-related problems such as decontamination and distributed algorithms. His work spans theoretical foundations and practical applications in wireless networks, Bluetooth protocols, and cellular automata-based systems. Research Interests: Zaguia explores advanced topics in algorithms, including optimization of ordered sets, graph coloring, and network analysis. His work on cellular automata and Bluetooth networks highlights interdisciplinary applications of theoretical computer science. Publications: His recent articles address challenges in network decontamination, Bluetooth distributed algorithms, and the mathematical properties of ordered sets. These contributions reflect a blend of algorithm design, combinatorial analysis, and real-world network problem-solving. Grants & Advising: While specific grants or advisees are not detailed here, his prolific publication record indicates active research collaborations and mentorship in his field.

Robert Damoiseauxمشاهده پروفایل

استاد مدعو

• Drug Discovery
• Molecular Pharmacology
• High-Throughput Screening
• +۷ مورد دیگر

Robert Damoiseaux is an Adjunct Professor in the Department of Molecular and Medical Pharmacology at the University of California Los Angeles (UCLA) School of Medicine . His research focuses on high-throughput screening technologies, drug repurposing, and molecular mechanisms in pharmacology and virology. Key research themes include antiviral drug discovery, cancer metabolism, neurodegenerative disease models, and nanotoxicology. He develops innovative platforms like FLECS (Force Loading Element for Cell-based Screening) and hydrogel nanovials for single-cell analysis. Research Trends : His recent work investigates SARS-CoV-2 antivirals (e.g., GSK-3 inhibitors), MAPKi-resistant melanoma therapies, and mitochondrial regulators in aggressive cancers. The articles span neuroscience , oncology , and virology , emphasizing drug screening , cell signaling , and host-pathogen interactions . Scientific Leadership : He co-directs NIH-funded projects on fibrosis models (U01HL153000) and idiopathic pulmonary fibrosis (R01GM114259). His collaborations involve multidisciplinary teams across UCLA , UCSD , and Caltech , integrating chemical biology , bioinformatics , and clinical research .

Mark LeDouxمشاهده پروفایل

استاد پژوهشی

• Genetics and Molecular Neurobiology of Dystonia
• Pharmaceutical and Neurosurgical Treatment of Movement Disorders
• Cell Cycle Control in the Central Nervous System
• +۳ مورد دیگر

Dr. Mark LeDoux is an Affiliate Research Professor in the Department of Psychology at the University of Memphis. He holds dual expertise in clinical practice and basic neuroscience, focusing on movement disorders such as Parkinson’s disease, dystonia, and spasticity. His clinical work includes deep brain stimulation, botulinum toxin therapies, and clinical trials. He is internationally recognized as a leader in movement disorder research, serving on editorial boards of Neurology and Tremor and Other Hyperkinetic Movements , and chairs the Board of Medical Advisors for the National Spasmodic Torticollis Association. Dr. LeDoux’s research spans neurogenetics, cell cycle control in the CNS, and neural circuitry. He has authored/co-authored over 150 peer-reviewed articles, three books (including Movement Disorders: Genetics and Models ), and holds prestigious awards like the Dystonia Doctor of Excellence Award and the British Medical Association Medical Book Award. His lab integrates experimental approaches such as neurogenetic analysis, computational modeling of motor systems, and translational studies on disease mechanisms. Education: Ph.D. in Neuroscience (University of Alabama at Birmingham), M.D. (Louisiana State University, New Orleans). His clinical and research roles emphasize both patient care innovation and advancing genetic understanding of movement disorders. He collaborates globally via initiatives like the Dystonia Coalition and Parkinson Study Group. Key achievements include pioneering studies on dystonia genetics, leading clinical trials for therapies like deutetrabenazine for tardive dyskinesia, and developing mouse models for neurodegenerative disorders. His work bridges clinical practice with laboratory science, aiming to improve diagnostic tools and treatment options for patients worldwide.

• Antimicrobial Resistance
• Quinolone Resistance Mechanisms
• Bacterial Biofilms
• +۳ مورد دیگر

José Manuel Rodríguez Martínez is a University Professor in the Department of Microbiology at the University of Seville. His research focuses on antimicrobial resistance mechanisms, particularly quinolone and fosfomycin resistance, plasmid-mediated resistance, and bacterial biofilms. He leads multiple research projects funded by institutions like the Spanish Ministry of Science and Innovation (MICINN) and the University of Seville, including studies on heteroresistance, cannabidiol antimicrobial activity, and antibiotic adjuvants. He has published extensively in journals like Journal of Antimicrobial Chemotherapy and Antimicrobial Agents and Chemotherapy , with over 150 peer-reviewed articles. His work investigates SOS response modulation, efflux pump inhibition, and genetic determinants of resistance. He collaborates with institutions on projects like the 'Zero Tolerance' and 'FARMA_RES' initiatives to combat multidrug resistance in Enterobacterales. His academic roles include leading research groups on antimicrobial resistance and advising on clinical microbiology. He has participated in national and international conferences, presenting findings on heteroresistance reversal strategies and antibiotic tolerance mechanisms.

• Signal Processing
• Financial Signal Analysis
• Machine Learning
• +۵ مورد دیگر

Ali Akansu is a Professor in the Department of Electrical and Computer Engineering at NJIT. His academic career spans multiple decades, with significant contributions to signal processing, financial engineering, and multimedia communications. He has led or co-led four major NSF-funded projects, including the Center for Digital Video & Media Research and the Laboratory for Multimedia Signal Processing and Communication. His research focuses on topics such as eigenanalysis for financial portfolios, machine learning in network analysis, and multimodal affective state assessment using EEG and fNIRS. Key research areas include financial signal processing, portfolio optimization, eigensubspace applications, and data hiding techniques. Notable projects involve FPGA-based real-time risk analysis systems and GPU implementations for eigenportfolio analysis. He has published over 190 peer-reviewed articles, with impactful work in journals like Journal of Investment Strategies and Brain Sciences . His recent work combines machine learning with signal processing to address challenges in network traffic forecasting and financial market dynamics. He has also contributed to biomedical signal processing through studies on affective state assessment using neuroimaging techniques. Awards and recognitions include a h-index of 27 and over 2,694 citations. Grants: National Science Foundation (1991-1993, 1997-2002): Real-Time Color Video Workstation, Multimedia Signal Processing Lab, and Digital Video Research Center Labs/Teams: Leadership in NJIT's Laboratory for Multimedia Signal Processing and Financial Signal Processing groups

• Circuit Design
• Signal Processing
• Electronics
• +۵ مورد دیگر

Radu Gabriel Bozomitu is an Assistant Professor at the Department of Electronics and Telecommunications, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Iasi. His research focuses on advanced circuit design, signal processing, biomedical engineering, and assistive technologies. Key areas include VLSI design of active filters, pupil detection algorithms for eye-tracking systems, and medical sensor integration with cloud-based platforms. He has contributed to software-defined radio systems, FM transmission frameworks, and embedded hardware for telemedicine applications. Education details are not explicitly stated, but his publications indicate expertise in analog circuits, biomedical signal processing, and assistive communication systems for disabled patients. His work spans from theoretical circuit optimization (e.g., ring oscillators for ADCs) to practical implementations like gyro-mice and real-time pupil detection systems. Research highlights include developing high-accuracy neural network-based pupil detection systems, robust radiocommunication frameworks, and medical monitoring devices. His algorithms for eye-tracking and FM-based driver warning systems reflect interdisciplinary collaboration between electronics and healthcare. While no awards are listed, his extensive publication record demonstrates significant academic contributions. Bozomitu collaborates on hardware-software integration projects, such as wireless sensor networks for bioimpedance monitoring and cloud-integrated medical systems. His work bridges theoretical advancements in RF engineering with practical applications in assistive technologies and telemedicine.

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۴ مورد دیگر

Feng Jiang is a Professor at Nanjing University's School of Computer Science and Technology, Department of Computer Science and Technology. With an extensive publication record spanning from 1999 to 2025, Professor Jiang has established himself as a prominent researcher in multiple computer science domains. His research interests include Machine Learning, Artificial Intelligence, Data Mining, Software Engineering, and Computer Vision. Professor Jiang's work demonstrates significant interdisciplinary applications, ranging from healthcare and bioinformatics to industrial manufacturing and agricultural technology. His research approach often combines theoretical advancements with practical implementations, addressing real-world challenges across diverse sectors. Analysis of his recent publications reveals a strong focus on deep learning applications, graph neural networks, and ensemble methods. His work shows consistent contributions to both theoretical frameworks and practical implementations, with particular emphasis on software engineering applications, computer vision systems, and biomedical informatics. The breadth of his research indicates active collaborations across multiple institutions and disciplines. Professor Jiang has supervised numerous research projects resulting in publications across top-tier journals including IEEE Access, Expert Systems with Applications, and Knowledge-Based Systems. His work has been consistently published in high-impact venues, demonstrating sustained research productivity and relevance in the field.

• Radio Astronomy
• Medical Imaging
• Compressed Sensing
• +۳ مورد دیگر

Yves Wiaux is a Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He specializes in advanced signal processing techniques with applications in radio astronomy and medical imaging. His research focuses on compressed sensing, optimization algorithms, and imaging methods for radio interferometry and MRI. His work integrates mathematical frameworks like wavelet transforms and sparse regularization to address challenges in high-dimensional data reconstruction. Notable contributions include the development of algorithms like SARA (Sparsity Averaging Reweighted Analysis) and PURIFY for radio interferometric imaging, as well as applications in medical imaging such as magnetic resonance fingerprinting. Wiaux collaborates extensively in international projects, including the LOFAR Two Meter Sky Survey. He advises PhD students through the BASP (Biomedical and Astronomical Signal Processing) group and leads research initiatives in scalable imaging techniques for large datasets.

Emanuel Radoiمشاهده پروفایل

استاد

• UWB signal processing
• full-duplex communications
• spectrum sensing
• +۳ مورد دیگر

Emanuel Radoi is a Professor in Signal Processing at the University of Brest , France, and a member of the "Information Security, Intelligence and Integrity" research team at Lab-STICC, CNRS UMR 6285. He has been an IEEE Senior Member since 2014 and served as Associate Editor for IEEE Communications Letters (2018-2021). M.Sc. (1997) and Ph.D. (1999) in Electronic Engineering and Signal Processing from University of Brest 20 book chapters and over 120 international conference/journal papers Specializes in UWB signal processing, full-duplex communications, spectrum sensing, time-frequency analysis, and sparse signal processing His recent research focuses on IR-UWB radar applications for indoor localization, people counting, and collision avoidance systems, as well as full-duplex communication architectures and compressed sensing techniques. He has developed experimental USRP-based implementations for real-time signal processing and contributed to advanced sea clutter models for radar target detection. Key publications address: Compressed sensing for UWB channel estimation (2016-2022) Self-interference cancellation in full-duplex transceivers (2020-2022) Machine learning integration with radar signal processing (2024) Cognitive radio architectures for high-speed railway applications (2014) Scientific Contributions: 2014 IEEE Senior Membership 2018-2021 IEEE Communications Letters Associate Editor Best Paper Award and Exemplary Reviewer recognition He actively participates in international conferences, chairs technical sessions, and contributes to journal special issues. His work bridges theoretical signal processing with practical implementations in wireless systems and radar technologies.

Roua Youssefمشاهده پروفایل

استادیار

• UWB Signal Processing
• Compressive Sampling
• Full-Duplex Communications
• +۴ مورد دیگر

Roua Youssef is an Assistant Professor at the University of Brest, France, and a member of the SI3 (Security, Intelligence and Integrity of Information) research team within Lab-STICC (CNRS UMR 6285). Her work focuses on advanced signal processing techniques for telecommunications, including UWB systems, compressive sampling, full-duplex communications, and drone detection. Education: She earned a Telecommunications Engineering diploma from the Lebanese University (Beirut, Lebanon) and an M.Sc. in Electronic Engineering from IMT Atlantique (Brest, France) in 2007. She completed her Ph.D. in Telecommunications at IMT Atlantique in 2011. Research interests include radar-based sensing for Industry 4.0 applications, robust heart rate detection in vehicular environments, and interference cancellation in full-duplex systems. Her work combines machine learning with UWB radar and compressive sensing to address challenges in indoor localization, collision avoidance, and non-cooperative signal detection. Recent contributions include experimental validation of IR-UWB radar systems for people detection in industrial settings and digital self-interference cancellation techniques for full-duplex transceivers. She has also explored low-complexity drone control signal detection and optimal Fourier coefficient selection for UWB channel estimation. Labs/Teams: Active member of Lab-STICC’s SI3 team, focusing on secure and intelligent information systems. Her research integrates hardware prototyping (e.g., USRP platforms) with algorithm development for real-world wireless communication problems.