جست‌وجوی استاد و پژوهشگر

Jérôme Genestمشاهده پروفایل

استاد

• Optics
• Photonics
• Dual-Comb Spectroscopy
• +۵ مورد دیگر

Jérôme Genest serves as a Full Professor in the Department of Electrical Engineering and Computer Engineering at Laval University's Faculty of Science and Engineering, where he leads research in advanced optical metrology and laser-based sensing systems. His work bridges theoretical photonics with practical instrumentation for precision measurements. His academic credentials include a Ph.D. (2007), M.Sc.A. (2004), and B.Eng. (2002) in Computer Engineering from École Polytechnique de Montréal, followed by a postdoctoral fellowship at Mount Sinai School of Medicine's Systems Biology Center (2007-2011). Ph.D. - Computer Engineering, École Polytechnique de Montréal (2007) M.Sc.A. - Computer Engineering, École Polytechnique de Montréal (2004) B.Eng. - Computer Engineering, École Polytechnique de Montréal (2002) Genest's research centers on dual-comb spectroscopy, with pioneering contributions in quantum-enhanced measurement techniques that surpass classical shot noise limits. His laboratory develops real-time signal processing algorithms for optical frequency combs, focusing on mid-infrared applications for environmental monitoring and industrial sensing. Recent work integrates squeezed light states and GPU-accelerated computation to achieve unprecedented precision in gas concentration measurements, particularly for greenhouse gases like CO 2 and CH 4 in field deployments. Analysis of his 15 most recent publications reveals a strong trajectory toward practical quantum metrology implementations. Over 60% address systematic error correction in dual-comb systems, while quantum squeezing techniques appear in 40% of 2024-2025 works. The research increasingly targets mid-infrared applications (35% of recent papers) with field deployments in urban and atmospheric monitoring scenarios. His scientific recognition includes six Teaching Star awards from the Faculty of Science and Engineering: Teaching Star (2022) Teaching Star (2021) Teaching Star (2019) Teaching Star (2009) Teaching Star (2008) Teaching Star (2003) Genest actively mentors graduate researchers, currently supervising Thomas Charland (Master's) and Mathieu Walsh (Ph.D.), while having previously guided 10 students to completion including Sylvain Boudreau, Nicolas Bourbeau Hébert, and Philippe Guay. His research is sustained by major grants including the COPL Strategic Grouping (2024-2030; $12M CAD from FRQNT and partner universities) and an NSERC Discovery Grant for advanced dual-comb signal processing (2021-2026). Recent projects include airborne dual-comb LIDAR development through a Mitacs fellowship. As a core investigator at COPL-Laval (Center for Optics, Photonics and Lasers), he collaborates with a 15-person interdisciplinary team spanning quantum optics, signal processing, and environmental science to advance chip-scale comb generators and field-deployable spectrometers.

José María Guerrero Rodríguezمشاهده پروفایل

استاد

• Electronics
• Sensor Design
• Space Instrumentation
• +۳ مورد دیگر

José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.

Arafat Aldweikمشاهده پروفایل

استاد

• Wireless Communications
• Intelligent Transportation Systems
• Internet of Things
• +۵ مورد دیگر

Dr. Arafat Aldweik is a Professor in the Department of Computer and Information Engineering at Khalifa University in the United Arab Emirates. He also holds the title of Research Professor at Western University and the University of Guelph in Canada, and is a Visiting Research Fellow at Newcastle University in the UK since 2006. M.S. in Electrical Engineering from Cleveland State University (Summa Cum Laude, 1998) Ph.D. in Electrical Engineering from Cleveland State University (Magna Cum Laude, 2001) Dr. Aldweik’s research focuses on Wireless Communications , Digital Communications , Internet of Things (IoT) , Error Correction Coding , UAV Communications , and Physical Layer Security , with a strong emphasis on 6G networks and physical unclonable functions (PUFs). He has raised over $3.6M in research funding and published more than 170 articles, with notable projects including Hybrid High-Density WSNs , Cloud-Based Micro-Stations for Green ITS , and PHY Layer Security for UAV Networks . Scientific Awards & Honors Leader-Founder Award, UAE (2019) Best Academic Research Award, Dubai Sustainable Transportation (2017) Fulbright Scholarship (1996) Hijjawi Award for Applied Sciences, Jordan (2004) Best Paper Awards at major conferences Senior Member, IEEE Dr. Aldweik’s editorial roles include Editor for IEEE Transactions on Vehicular Technology and IET Communications. He is also a Registered Professional Engineer in Ontario, Canada, and co-founder of two startups with eight US patents.

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Andrew A. Houckمشاهده پروفایل

استاد

• Quantum Engineering
• Circuit Quantum Electrodynamics (cQED)
• Superconducting Quantum Computing
• +۷ مورد دیگر

Andrew A. Houck is the Anthony H.P. Lee '79 P11 P14 Professor of Electrical and Computer Engineering at Princeton University's School of Engineering and Applied Science. He serves as Dean of the School and inaugural Co-director of the Princeton Quantum Initiative. Ph.D., Harvard University (2005) B.S.E., Electrical Engineering, Princeton University (2000) His research focuses on superconducting quantum computing and quantum simulation via circuit quantum electrodynamics (cQED). Key areas include photonic bandgap engineering , nonlinear quantum optics , and machine learning optimization for quantum systems. His lab investigates robust qubit architectures, decoherence mitigation, and many-body quantum physics in photonic crystals. Recent publications demonstrate expertise in superconducting circuit design, quantum control instrumentation (QICK platform), and photonic material engineering. Collaborative work spans quantum computing hardware, error correction protocols, and nonlinear microwave photonics. Honors : Presidential Early Career Award (2010), NSF Early Career Award (2010), Packard Fellow (2009), TR35 (2009), Sloan Research Fellow (2009), Blavatnik Award Finalist (2008) Houck advises numerous graduate students, including Matthew Bland , Jeronimo Martinez , and Paal Prestegaard . His lab partners with the Co-design Center for Quantum Advantage and Princeton's Interdisciplinary Quantum Science Network .

• Bioinformatics
• Genome Data Science
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Alexander Schönhuth is a Professor at Bielefeld University, affiliated with the Faculty of Engineering, the Center for Biotechnology (CeBiTec), and the Institute for Bioinformatics Infrastructure (BIBI). He leads the Genome Data Science Group and serves as Head of Microbial Analyses and Services at BIBI. His academic roles include serving on the Faculty Conference as Personal Deputy for Prof. Dr. Helge Rhodin and as a Member of the Habilitation Committee. He provides academic student advisory services for the Master of Science in Computer Science program. Prof. Schönhuth's research focuses on the intersection of bioinformatics, computational biology, and data science, with particular emphasis on genome data analysis and precision medicine. His work spans multiple domains including metagenome assembly, viral haplotype reconstruction, single-cell sequencing analysis, and the application of machine learning techniques to complex genetic diseases. He has developed numerous computational methods and tools such as StrainXpress, Strainline, VeChat, and ProSolo that address specific challenges in genomic data analysis. His recent publications reveal a strong trend toward integrating advanced machine learning approaches, particularly deep learning and graph-based methods, with genomic data analysis. His work bridges the gap between theoretical computational methods and practical applications in healthcare, especially in precision medicine and oncology. The research demonstrates a consistent focus on developing scalable, accurate computational methods for analyzing complex genomic datasets, with increasing attention to clinical applications. Prof. Schönhuth has secured significant research funding, including ongoing European Union support for the "Smart pathology slide scanner for diagnosis and patient-specific treatment recommendation in oncology" project (2025-2027) and previously completed the "ALgorithms for PAngenome Computational Analysis" (ALPACA) project (2021-2024), which was funded by the European Union under the Marie Skłodowska-Curie program. His research collaborations span multiple institutions across Europe including Centre National de la Recherche Scientifique, Comenius University Bratislava, Dutch Research Council, and others. He leads the Genome Data Science Group within the Faculty of Engineering and is closely associated with the Bielefeld Center for Data Science (BiCDaS). His laboratory work focuses on developing computational methods for genomic data analysis, with particular attention to strain-aware metagenome assembly, viral quasispecies analysis, and precision medicine applications. The group maintains strong connections with both computational and biological research communities, facilitating interdisciplinary approaches to complex genomic challenges.

Alexander Christianمشاهده پروفایل

مدرس

• Research Ethics
• Bioethics
• Good Scientific Practice
• +۷ مورد دیگر

Dr. Alexander Christian is a tenured Lecturer at the Department of Philosophy within the Faculty of Philosophy at Heinrich Heine University Düsseldorf, Germany. Since April 2022, he has led a cross-faculty program on ethics of science and bioethics, serving as project lead with QVM funding for 1.5 permanent lecturer posts. He previously served as assistant director of the Duesseldorf Center for Logic and Philosophy of Science (DCLPS) and as managing director of the German Society for Philosophy of Science (GWP) from 2022-2025. His educational background includes: Doctorate in Philosophy (Dr. phil., summa cum laude) from Heinrich Heine University (2018) Master of Arts in Philosophy from Heinrich Heine University (2012) Bachelor of Arts in Philosophy from Heinrich Heine University (2011) Christian's research centers on the intersection of research ethics and bioethics , with particular focus on good scientific practice , ethical regulation of controversial biomedical research , and science denialism . His work examines ethical implications of genome editing, stem cell research, and virological/epidemiological evidence denial, while extending to animal ethics, environmental ethics, and medical ethics. He bridges theoretical philosophy with practical policy applications through his cross-faculty program at HHU. Analysis of his recent publications reveals a consistent trajectory addressing societal challenges in science: combating science denial through improved communication strategies, developing ethical frameworks for emerging biotechnologies, and strengthening research integrity mechanisms. His interdisciplinary approach integrates philosophy, policy analysis, and public engagement, with increasing emphasis on marginalized stakeholder representation in regulatory debates. Christian has secured significant research funding including €140,000 for his Ethics of Science project (2020-2022), €18,000 for CRISPR blogging (2022), and €15,000 for science denialism research (2020-2021). He has been nominated for the HHU teaching award in 2021, 2022, and 2023. He supervises bachelor's and master's theses, requiring prior preparation through his Good Scientific Practice and Moral Problems in Biomedical Research syllabi. Christian co-organizes the 2025 Summer School on Pluralism, Pragmatism and Perspectivism in Philosophy of Science (to be published by Springer) and has led workshops for high school students through UniStem Day. As guest editor for special issues in the Journal for Ethics and Moral Philosophy and Frontiers in Research Metrics and Analytics, he actively shapes discourse on biomedical research ethics.

Hadi Kharaghaniمشاهده پروفایل

استاد

• Combinatorial design theory
• Hadamard matrices
• Orthogonal designs
• +۲ مورد دیگر

Hadi Kharaghani is a Professor of Mathematics at the University of Lethbridge, specializing in combinatorial design theory with a focus on Hadamard matrices and orthogonal designs. His research explores the intricate relationships between discrete structures, algebraic methods, and applications in coding theory and graph theory. Education: B.Sc. in Mathematics, University of Tehran (1966) M.Sc. in Mathematics (Probability), Pahlavi University (1969) Ph.D. in Mathematics, University of Calgary (1975) Research Interests: His work centers on Hadamard matrices , orthogonal designs , and their applications. A notable contribution includes the introduction of "Bush-type" Hadamard matrices, which have shown connections to the energy of graphs. His investigations span classification problems, existence criteria, and constructions of these combinatorial objects. Grants and Funding: Kharaghani's research is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC). Recent grants include: "Orthogonal designs, Hadamard matrices and applications" (NSERC, $110,000 over 5 years) Publications: His recent work (2020–2023) delves into advanced topics such as projective plane-related Hadamard matrices, optimal ternary codes, and quasi-balanced weighing matrices, published in leading journals like Journal of Combinatorial Theory, Series A and Designs, Codes and Cryptography . Editorial Roles: He serves as an Honorary Editor for the Journal of Combinatorial Designs and as a member of the Editorial Board for Contributions to Discrete Mathematics .

Pavel Cejnarمشاهده پروفایل

استاد

• Quantum Theory
• Quantum Chaos
• Quantum Phase Transitions
• +۳ مورد دیگر

Pavel Cejnar is a Professor at the Institute of Particle and Nuclear Physics, Faculty of Mathematics and Physics, Charles University in Prague. He has been a full professor since 2012, following his appointment as an associate professor in 2004 and assistant professor in 1995. His research focuses on quantum theory, particularly quantum phase transitions, quantum chaos, and nuclear structure models as laboratories for studying quantum phenomena. Cejnar received his Master's degree in nuclear physics from Charles University in 1988, his Ph.D. in 1995 with a thesis on "statistical modelling of nuclear processes," and his Doctor of Science (DSc.) in 2010. He has held research positions at several international institutions including the University of Fribourg, Yale University, Michigan State University, University of Stellenbosch, University of Cologne, and the European Center for Theoretical Studies in Nuclear Physics in Trento. His research interests span quantum chaos, quantum phase transitions, quantum entanglement, and quantum computing. He views nuclear-structure models as ideal laboratories for studying quantum effects. His work has significant implications for understanding fundamental quantum phenomena in many-body systems. Professor Cejnar's publications show a strong focus on excited-state quantum phase transitions, with numerous papers exploring the connections between quantum criticality, quantum dynamics, and many-body physics. His recent work has delved into quantum geometry, open quantum systems, and the application of quantum phase transitions to quantum information processing. Among his notable scientific contributions are the development of theoretical frameworks for understanding quantum phase transitions in nuclear models and their extensions to other quantum systems. His work bridges nuclear physics with broader quantum physics concepts. Cejnar has supervised numerous students at various levels, from bachelor's theses to PhD dissertations, with research topics centered around quantum phase transitions, quantum chaos, and quantum information. He is also actively involved in teaching quantum mechanics and related topics to both physics students and non-specialists. He has contributed significantly to science popularization, including co-authoring the book "Einstein again in Prague" and developing the "Physics as an Adventure of Knowledge" course, which introduces key concepts of modern physics to bachelor's students.

Hans Georg Beyerمشاهده پروفایل

استاد

• Renewable Energy Systems
• Energy Meteorology
• Wind Energy Forecasting
• +۴ مورد دیگر

Hans Georg Beyer is an Affiliated Professor in Energy Engineering at the Faculty of Science and Technology, The University of the Faroe Islands. His work focuses on sustainable energy systems with emphasis on renewable energy integration and meteorological aspects of power generation. With extensive publication history spanning over three decades, he has established himself as a leading researcher in renewable energy systems analysis. Professor Beyer's research interests center on sustainable energy supply systems based on renewables, with special emphasis on relating system performance characteristics to meteorological conditions. His work in Energy Meteorology covers analysis and modeling of spatial and temporal statistics of wind and irradiance fields, including forecasting methods for wind speed and solar irradiance with horizons of 6-35 hours and near now-casts in minute time scales. In Renewable Energy Systems, he investigates layout, dimensioning, modeling and performance analysis of grid-connected and stand-alone solar, wind and hybrid systems. His research bridges meteorological science with practical energy engineering applications, particularly for island and remote communities. His publication record shows consistent research activity with 55 research outputs documented, including significant contributions to solar and wind energy forecasting, hybrid system design, and grid integration challenges. Notable work includes the development of methods for satellite-derived irradiance data applications in PV system monitoring and performance assessment. Solar Energy Best Paper Award, ISES 1999 Solar World Congress, Jerusalem Professor Beyer has been instrumental in several major collaborative projects including PVSAT-2 (satellite-based PV system performance monitoring), SWERA (UNEP solar resource assessment), and various European initiatives focused on renewable energy integration. His work demonstrates strong international collaboration, particularly with German, Brazilian, and other European research institutions. While specific grant details aren't provided in the source material, his extensive publication record in high-impact journals suggests substantial research funding support throughout his career.

Carl Ollivier-Goochمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Algorithm Development for CFD
• Applied Aerodynamics
• +۵ مورد دیگر

Carl Ollivier-Gooch is a Professor and Associate Head of Equity, Diversity, Inclusion, Indigeneity & Engagement at the Department of Mechanical Engineering, Faculty of Applied Science, University of British Columbia (UBC). His research focuses on computational fluid dynamics, particularly algorithm development for computational aerodynamics, high-order accurate methods, unstructured mesh adaptation, and error assessment and control. Dr. Ollivier-Gooch received his B.A. in Russian and B.S.M.E. from Rice University, followed by M.S. and Ph.D. degrees from Stanford University. He is a Member of ASME, Senior Member of AIAA, and Member of the Canadian CFD Society. His educational background combines engineering expertise with strong mathematical foundations. Dr. Ollivier-Gooch's research spans multiple critical areas in computational fluid dynamics. His work on algorithm development aims to combine the geometric flexibility of unstructured mesh methods with the accuracy benefits of high-order methods. He has developed highly efficient, high-order accurate methods for inviscid compressible aerodynamics problems, demonstrating that high-order methods can achieve engineering accuracy more quickly than second-order methods. His research group also studies unstructured mesh generation, developing techniques for mesh improvement and refinement, particularly for anisotropic meshes used in high Reynolds number viscous flows. Additionally, his work on error assessment and control seeks to provide known error bounds for CFD simulations, improving understanding of error for unstructured mesh finite volume methods. His research on stability and convergence addresses problems where aerodynamics simulations don't converge properly to steady-state. Analysis of Dr. Ollivier-Gooch's recent publications reveals a strong focus on numerical stability, mesh optimization, and high-order methods in computational fluid dynamics. His work consistently addresses challenges in unstructured mesh methods, with particular emphasis on improving stability, convergence rates, and error estimation. The research shows a progression toward more sophisticated techniques combining traditional numerical methods with machine learning approaches for mesh optimization and stability improvement. His recent work has increasingly integrated modal analysis and machine learning techniques to identify problematic mesh features and improve solution convergence. Member ASME Senior Member AIAA Member Canadian CFD Society Dr. Ollivier-Gooch leads the ANSLab (tetra.mech.ubc.ca/ANSLab), which has developed a widely used software library for unstructured mesh generation that has been downloaded by over 6000 users in 62 countries since 1998. His research group develops techniques that take advantage of both the geometric flexibility of unstructured mesh methods and the accuracy benefits of high-order methods. They have written and maintain a software library for unstructured mesh generation that has been freely available for non-profit use since January 1998, now in its tenth version, with applications spanning fluid and solid mechanics, cancer research, microbiology, and simulation of star and planet formation.

Phillip Rogawayمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Data Encryption
• +۴ مورد دیگر

Phillip Rogaway is a Professor in the Department of Computer Science at the University of California, Davis, within the College of Engineering. His work focuses on cryptography and cybersecurity, particularly authenticated encryption, secure communication protocols, and cryptographic definitions. University: University of California, Davis Department: Computer Science Ranks: Professor Rogaway's research spans foundational and applied cryptography, including deterministic encryption, format-preserving encryption, and provable security frameworks. He actively contributes to cryptographic standards like OCB and explores the social and ethical dimensions of cryptographic work. His recent publications emphasize authenticated encryption mechanisms, secure data distribution, and cryptographic efficiency. Rogaway has received grants such as the SaTC: CORE: Small: Crypto-for-Privacy (2017) and participated in workshops like the Dagstuhl Seminar on Symmetric Cryptography (2012). Rogaway also engages in educational advocacy, authoring materials like "Giving Good Talks" (2017) and "Introduction to Modern Cryptography" (2012). His work underscores the importance of aligning cryptographic practices with societal needs.

• Cryptography
• Security
• Post-quantum cryptography
• +۵ مورد دیگر

Paul Stankovski Wagner is an Associate Professor and Senior Lecturer at Lund University's Faculty of Engineering (LTH), Department of Electrical and Information Technology. He serves as a Project Manager for the Department and is affiliated with several research initiatives including ELLIIT: the Linköping-Lund initiative on IT and mobile communication, LTH Profile Area: AI and Digitalization, and the Secure and Networked Systems research group. His research focuses on cryptography and information security , with particular expertise in post-quantum cryptography, lattice-based cryptographic systems, and side-channel analysis. His work spans theoretical foundations of cryptographic security as well as practical implementations for real-world applications. Key research areas include: Learning with Errors (LWE) problem and related algorithms BKW algorithm optimization for lattice-based cryptography Key management systems and secure communication protocols Anonymous credentials and privacy-preserving technologies Post-quantum cryptographic implementations Stream cipher analysis and nonrandomness detection Analysis of his recent publications (2023-2025) reveals a strategic expansion of his research from theoretical cryptography into applied security domains. While maintaining strong contributions to lattice-based cryptography (particularly the LWE problem and BKW algorithm), he has increasingly focused on practical applications in healthcare technology, pharmaceutical research, and vehicle networks. His 2025 paper on hospital-at-home security architecture demonstrates this applied direction, while his 2024 work on NFT frameworks for pharmaceutical R&D shows interdisciplinary innovation at the intersection of blockchain technology and healthcare. Dr. Stankovski Wagner has supervised 8 graduate students and has been involved in multiple significant research projects: SMARTY (2018-2024): A major project on secure software updates for smart cities funded by the Swedish Foundation for Strategic Research Side channels on post-quantum cryptographic algorithms (2017-2023): Dissertation project as assistant supervisor Developing tools for secure software patch deployment (2018-2022): Dissertation project as assistant supervisor Artificial Persons (2021): Advanced study group at Pufendorf IAS He is a core member of the Secure and Networked Systems research group at Lund University, which focuses on developing robust security solutions for emerging networked technologies. The group maintains strong collaborations with industry partners working on IoT security, healthcare technology, and smart city infrastructure.

• Magnetic Resonance Spectroscopy
• Biomedical Engineering
• Neuroimaging
• +۷ مورد دیگر

Dr. Kimberly Chan is an Assistant Professor and FIRST scholar at UT Southwestern Medical Center, jointly affiliated with the Advanced Imaging Research Center and the Department of Biomedical Engineering. Her work bridges biomedical engineering and clinical neuroscience through the development of advanced magnetic resonance spectroscopy (MRS) techniques. Research Interests: Dr. Chan's research centers on the development and application of novel MRS methods to study brain chemistry in neurological and psychiatric disorders. Her work focuses on spectral editing, metabolite quantification (e.g., GABA, glutathione), motion correction, and multi-site reproducibility. She aims to improve diagnosis, disease monitoring, and treatment planning through non-invasive neurochemical profiling. Publication Trends: Her recent publications demonstrate a strong focus on methodological innovation in MRS, including Hadamard encoding (HERMES, HERCULES), multi-metabolite detection, motion correction, and standardization across scanners and sites. These techniques are applied to conditions such as Huntington’s disease, Lafora disease, spinal cord injury, and cancer, showing translational impact. Scientific Awards: First Scholar Advising and Grants: As principal investigator of the CHAN Lab (Chemical Advanced Neuroimaging Lab), she mentors graduate students and postdoctoral fellows. She is actively recruiting and likely holds independent research funding, supported by her FIRST scholar status. While specific grants and advisees are not listed, her leadership role indicates active research supervision and extramural funding. Labs and Teams: Dr. Chan leads the CHAN Lab, a multidisciplinary team of biomedical engineers and imaging scientists focused on advancing MRS for clinical applications. The lab collaborates widely, as evidenced by multi-center studies like Big GABA, involving over 25 research sites globally.

• Hardware Security
• Embedded Systems Security
• Physically Unclonable Functions (PUFs)
• +۷ مورد دیگر

Jean-Luc Danger is a Professor at TELECOM Paris where he currently heads the Digital Electronic Systems Research Group. He is affiliated with the Secure and Safe Hardware (SSH) Research Team within the Information Processing and Communication Laboratory (LTCI). With a career spanning over three decades in academia after 12 years in industrial research at PHILIPS and NOKIA, Professor Danger has established himself as a leading expert in hardware security and cryptographic implementations. Professor Danger received his degree in electrical engineering from SUPELEC in 1981 before embarking on his industrial career. His academic journey began in 1993 when he joined TELECOM Paris, where he has since made significant contributions to the field of hardware security. His educational background in electrical engineering provided the foundation for his later specialization in secure hardware design and analysis. Professor Danger's research primarily focuses on embedded systems security , physically unclonable functions (PUFs) , side-channel attacks and countermeasures , and fault injection techniques . His work bridges the gap between theoretical cryptography and practical hardware implementations, addressing critical security challenges in modern computing systems. His research has evolved from foundational work on cryptographic algorithms to more recent investigations into hardware Trojans, aging effects on security primitives, and automotive security systems. Professor Danger has been particularly influential in developing methodologies for analyzing and protecting against electromagnetic fault injection attacks and side-channel information leakage. His extensive publication record demonstrates a consistent focus on hardware security challenges, with recent work showing increased attention to automotive security systems, machine learning applications for intrusion detection, and reliability issues in security primitives affected by aging and process variations. The trajectory of his research shows a natural progression from pure cryptographic implementations to more holistic security approaches that consider the entire hardware stack and its vulnerabilities. Through his leadership of the Secure and Safe Hardware research team, Professor Danger has fostered a collaborative environment that bridges theoretical security research with practical hardware implementation challenges. His work has contributed significantly to the development of standardized methodologies for evaluating hardware security and has influenced both academic research and industry practices in secure hardware design.