جست‌وجوی استاد و پژوهشگر

Elizabeth Mayer-Davisمشاهده پروفایل

استاد

• Diabetes Epidemiology
• Type 1 Diabetes
• Type 2 Diabetes
• +۶ مورد دیگر

Elizabeth "Beth" Mayer-Davis is the Dean of The Graduate School and the Cary C. Boshamer Distinguished Professor of Nutrition and Medicine at the University of North Carolina at Chapel Hill. She holds joint appointments in the Gillings School of Global Public Health and the School of Medicine, where she previously served as Chair of the Department of Nutrition for eight years. As Dean of The Graduate School, she oversees more than 160 degree-offering programs and over 10,000 graduate students at UNC Chapel Hill. Dr. Mayer-Davis earned her educational credentials from prestigious institutions: Ph.D. in Epidemiology from the University of California, Berkeley (1992) Master of Public Health with honors from the University of Colorado School of Medicine (1986) B.S. in Dietetics from the University of Tennessee (1980) Dr. Mayer-Davis is an internationally recognized expert in diabetes research with a career focused on the epidemiology and natural history of type 1 and type 2 diabetes in children and adults. Her research addresses how nutrition impacts diabetes risk and complications, with particular emphasis on culturally and regionally diverse populations. Her primary current focus is on type 1 diabetes in youth and young adults, examining diabetes self-management and energy balance/weight management for individuals with type 1 diabetes. She employs innovative methodologies including large epidemiological studies, clinical trials, and adaptive intervention designs, often incorporating communication technologies to enhance patient-centered care. Analysis of Dr. Mayer-Davis's recent publications reveals consistent focus on diabetes epidemiology across diverse populations, with particular attention to youth-onset diabetes, health disparities by race and ethnicity, and innovative interventions for diabetes management. Her work frequently addresses the intersection of obesity and diabetes, particularly in type 1 diabetes where this comorbidity has been historically understudied. The research demonstrates methodological sophistication through the use of advanced statistical techniques, continuous glucose monitoring data, and adaptive trial designs to address complex questions in diabetes care. Dr. Mayer-Davis has received numerous professional honors and appointments: Cary C. Boshamer Distinguished Professorship at UNC President for Health Care and Education for the American Diabetes Association (2011) Member of the 2020 Dietary Guidelines Advisory Committee Appointee to President Obama's Advisory Group on Prevention, Health Promotion and Integrative and Public Health Co-director of the Nutrition Obesity Research Center funded by NIH Throughout her career, Dr. Mayer-Davis has been deeply committed to mentoring the next generation of researchers, having supervised dozens of graduate students. She has secured over $45 million in research funding, including as Principal Investigator for the Carolina site of the landmark SEARCH for Diabetes in Youth study and the Nutrition for Precision Health Consortium initiative. Her leadership extends to national scientific committees and professional organizations, where she has shaped diabetes research and care standards. She is particularly dedicated to promoting diversity, equity, and inclusion in graduate education and research. Dr. Mayer-Davis co-directs the UNC Nutrition Obesity Research Center, a NIH-funded center that has received continued support through multiple funding cycles. She also leads the Carolina site of the SEARCH for Diabetes in Youth study, a large multi-center national study that has been tracking diabetes incidence and trends in youth for over two decades. Her research team includes epidemiologists, nutritionists, statisticians, and clinicians working collaboratively to address critical questions in diabetes prevention and management.

Michele Boonمشاهده پروفایل

مدرس

• Public Health
• Epidemiology
• Environmental Public Health
• +۷ مورد دیگر

Michele Boon is a Lecturer in Nursing at Glasgow Caledonian University's School of Health and Life Sciences. She maintains an active research profile with 29 research outputs spanning from 2004 to 2025, demonstrating increasing productivity in recent years with 6 publications in 2021 alone. She is currently accepting PhD students and has established herself as a methodological expert in public health research. Dr. Boon's research interests center on public health, epidemiology, health services research, and health policy. Her work emphasizes systematic review methodology, particularly through her role as Methods Editor for Cochrane Public Health. Key research areas include palliative care for respiratory conditions, social network interventions for cardiac rehabilitation, health inequalities, and women's health. Her research contributes significantly to multiple UN Sustainable Development Goals. Her publication record shows consistent output with increasing impact, particularly in the last five years. Notable works include the European Respiratory Society clinical practice guideline on palliative care (2023) with 68 citations, and the Cochrane review on social network interventions for cardiac rehabilitation (2023). Her research demonstrates strong interdisciplinary connections across public health, clinical medicine, and social policy. Dr. Boon has received significant recognition through external appointments: Senior Member, ERS Clinical Practice Guidelines Methodology Network, European Respiratory Society (Apr 2022-Apr 2025) Associate Editor, Health policies, systems and management in high-income countries, BMC Public Health (Aug 2020-present) Methods Editor, Cochrane Public Health (Sept 2019-present) She currently leads or contributes to two major research projects: the NRSI-ROB Cochrane Public Health Project as Principal Investigator, and the COVID-19 and the Centrality of Care project as Co-Investigator. Her work has been picked up by numerous news outlets, referenced in policy documents, and has significant social media engagement, demonstrating real-world impact beyond academia.

• Artificial intelligence
• Data compression
• Deep learning
• +۱۵ مورد دیگر

Enrico Magli is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, Italy. He serves as Director of the Image Processing and Learning group and Coordinator of the 'ICT for Smart Societies' M.Sc. degree program. Additionally, he is a committee member of the PhD program in Electrical, Electronic and Communications Engineering and a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. Professor Magli's research focuses on applying machine learning and deep learning methods to satellite imaging, with applications to onboard processing and image analysis on the ground. His work spans deep learning for image and video analysis, image and video compression, compressive sensing, satellite imaging, and graph signal processing. He has published over 90 journal papers with 5900+ citations and an h-index of 40 on Google Scholar. His recent publications demonstrate a strong focus on developing deep learning architectures for satellite image processing, particularly for onboard applications. His research addresses challenges in hyperspectral image compression, super-resolution, change detection, and efficient neural network architectures suitable for resource-constrained satellite environments. There's also significant work on secure authentication systems using deep learning techniques and neural network optimization for edge devices. Elevated to IEEE Fellow (2017) 'for contributions to compression and communication of remotely sensed imagery' IEEE Geoscience and Remote Sensing Society 2011 Transactions Prize Paper Award IEEE Multimedia 2019 Best Paper Award Best Paper Awards at IEEE ICIP (2015, 2019) ERC Starting grant (consolidator type) and ERC Proof-of-Concept Grant recipient Multiple Best Paper Awards Francesco Carassa (2011, 2013, 2014) Professor Magli actively supervises numerous PhD students working on cutting-edge topics in deep learning for satellite imaging, image processing, and secure authentication systems. His research is supported by significant grants including ERC projects and multiple commercial contracts with space agencies and technology companies. He leads the Image Processing and Learning (IPL) Group at Politecnico di Torino, which focuses on developing innovative solutions for satellite image analysis and compression.

Matthew Jenssenمشاهده پروفایل

دانشیار

• Discrete Probability
• Probabilistic/Extremal Combinatorics
• Statistical Physics
• +۵ مورد دیگر

Matthew Jenssen is a Reader in Probability at King's College London and a UKRI Future Leaders Fellow. He holds a BA and MMath from the University of Cambridge (2012–2013) and a PhD from the London School of Economics (supervised by Jozef Skokan and Julia Boettcher). His research focuses on the intersection of combinatorics, statistical physics, and theoretical computer science, particularly on large-scale structure formation in systems with local interactions. Notable contributions include advancements in sphere packing, Ramsey numbers, and random matrix theory. Jenssen has held postdoctoral positions at the University of Oxford and the University of Birmingham before joining King’s in 2023. His research group at King’s explores discrete probability, extremal combinatorics, and algorithms, with applications to statistical physics and high-dimensional geometry. Key achievements include a groundbreaking improvement on sphere packing lower bounds and resolving extremal questions in graph theory. Jenssen’s work often bridges combinatorial theory with computational methods, yielding impactful results in probabilistic combinatorics. Scientific awards include the UKRI Future Leaders Fellowship (2020). His grants include a 2023–2026 project on statistical physics methods in combinatorics and geometry. Jenssen collaborates widely, with notable co-authors including Will Perkins, Jozef Skokan, and Felix Joos. He is actively involved in the Probability Group at King’s and contributes to international conferences and arXiv publications.

• Cryptography
• Theoretical Computer Science
• Machine Learning
• +۳ مورد دیگر

Mohammad Mahmoody is an associate professor in the Computer Science Department at the University of Virginia. His research focuses on theoretical aspects of cryptography, computational complexity, and machine learning, particularly on understanding barriers such as lower bounds and impossibility results. He has taught courses including Algorithms, Cryptography, and Theory of Computation. His work explores foundational questions in cryptography, adversarial robustness in machine learning, and computational assumptions underlying cryptographic primitives. Education: Ph.D. in Computer Science from Princeton University (2010) Affiliations: University of Virginia, Department of Computer Science Research Interests: His interests span cryptography (e.g., encryption schemes, coin-tossing, and registration-based systems), theoretical computer science (computational complexity, algorithms), and machine learning (adversarial robustness, data poisoning). He emphasizes formal proofs and rigorous analysis in security and learning frameworks. Publications: Recent work includes studies on quantum-resistant cryptography, adversarial machine learning, and cryptographic protocol design. Key themes involve impossibility results, lower bounds for cryptographic assumptions, and the interplay between computational constraints and learning theory. Service & Grants: - Served on program committees for ICML, NeurIPS, CRYPTO, and TCC - Organized workshops on cryptography and lower bounds - Research funded by grants exploring adversarial robustness and cryptographic foundations Labs/Teams: - Collaborations with researchers in cryptography, machine learning, and theoretical computer science - Advises a team of graduate students and postdocs in security and learning theory.

Valentijn Vischمشاهده پروفایل

پژوهشگر

• eHealth Technology
• Gamification in Healthcare
• AI in Medical Decision Making
• +۴ مورد دیگر

Valentijn Visch is a researcher and academic at Delft University of Technology's Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Society, Culture, and Critique. His work focuses on eHealth interventions, gamification in healthcare, and reducing health-related stigmas through innovative design solutions. He teaches courses such as 'eHealth Design for a Healthy Society' and 'Understanding Humans,' emphasizing interdisciplinary approaches to healthcare challenges. His research projects include developing embodied coaches for stroke rehabilitation, AI-driven healthcare decision-making frameworks, and inclusive eHealth tools for low socioeconomic populations. He has been recognized with awards like the Rehabilitation Year Award 2024 for his work on cardiac rehabilitation interventions and a CHI 2024 Best Paper Honourable Mention for studies on patient preferences in AI autonomy. Visch collaborates on initiatives like the 'Emotion Aware Car Seat' project, exploring human-technology interaction. His work bridges academic research with real-world applications, addressing gaps in healthcare accessibility and patient empowerment through technology.

Cynthia Yanمشاهده پروفایل

استاد مهمان

• Quantum Gravity
• String Theory
• Supersymmetry
• +۳ مورد دیگر

Cynthia Yan is a Visiting Professor in the Physics Department at Stanford University, affiliated with the School of Humanities and Sciences. Her academic appointment was noted for the 2019 academic year. Her research focuses on theoretical physics with an emphasis on quantum gravity, string theory, supersymmetry, and black hole physics. She explores topics such as BPS black hole microstates, entanglement in quantum systems, and holographic dualities. Her work bridges advanced mathematical techniques with foundational questions in high-energy physics, including studies on wormholes, topological quantum field theories, and the interplay between QCD effects and particle physics observables like the Z boson forward-backward asymmetry. While specific grants or awards are not listed, her publications reflect engagement with cutting-edge theoretical frameworks and interdisciplinary methods. Though no student advisees are explicitly documented here, her contributions to areas like matrix theory and emergent spacetime suggest involvement in graduate-level research training. Contact information specific to her role is not provided in the available data.

Boris Skoricمشاهده پروفایل

دانشیار

• Cryptography
• Information Security
• Quantum Physics
• +۵ مورد دیگر

Boris Škorić is an Associate Professor in the Security group at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science. His research focuses on security applications leveraging noisy data, quantum physics, and cryptographic techniques. He holds a PhD in Theoretical Physics from the University of Amsterdam and has worked at Philips Research before joining TU/e in 2008. Research interests include secure key storage, anti-counterfeiting, privacy-preserving biometric systems, and quantum security protocols. His work bridges physics, information theory, and cryptography, addressing challenges like collusion-resistant watermarking and quantum-based security solutions. He is part of the Center for Quantum Materials and Technology Eindhoven and teaches courses such as 'Introduction to Quantum Computing and Security.' No ancillary activities are listed, and his contributions are centered within TU/e's academic and research ecosystem.

• Communication Systems
• Radio Resource Management
• Massive Machine Type Communications (mMTC)
• +۴ مورد دیگر

Dr. Wenjuan Yu is a Lecturer at the School of Computing and Communications (SCC), InfoLab21, Lancaster University, UK. She holds a PhD in Communication Systems from Lancaster University and has held prior roles, including Research Fellow at the 5G Innovation Centre (5GIC), University of Surrey (2018–2020), and part-time Research Officer at the University of Essex (2017–2018). She is a Fellow of the Higher Education Academy and a Senior Member of IEEE. Her research focuses on communication systems, with emphasis on radio resource management, mMTC, low-latency communications, B5G/6G, MEC, and machine learning. She actively contributes to IEEE conferences as a Technical Program Committee (TPC) member and holds editorial roles, including Executive Editor for Transactions on Emerging Telecommunications Technologies (2019–2022). Current teaching includes CNSCC141 Professionalism in Practice and CNSCC365 Advanced Networking . Dr. Yu supervises PhD students in EE/CS, particularly welcoming applicants from China via CSC scholarships. Her projects include DSI-funded initiatives on sustainable AI-driven resource allocation for 6G and Smart Multi-RAT Traffic Steering for V2X systems. She leads research groups in Security Lancaster (Networks, Systems, Distributed Systems).

• Hardware Security
• Side-Channel Attacks
• Cryptography
• +۳ مورد دیگر

Martin Brisfors is a part-time researcher at KTH Royal Institute of Technology since 2019 and a PhD student in the Department of Electrical Engineering and Computer Science (EECS) since 2022. He is affiliated with the Division of Electronics and Embedded Systems and works in Kista. His research focuses on hardware security and side-channel attacks, with a particular emphasis on cryptographic implementations and countermeasure design. His work spans topics such as post-quantum cryptography (e.g., CRYSTALS-Kyber), AES vulnerability analysis, and the application of deep learning in side-channel attacks. He has contributed to evaluating the efficacy of countermeasures like clock randomization and duplication, uncovering fundamental flaws in their implementation. Brisfors has collaborated on courses such as Hardware Security (IL1333) and Hardware Security (FIL3030) , demonstrating his involvement in both research and education. His publications (2019–2024) reflect a consistent focus on advancing hardware security through empirical analysis and novel attack methodologies.

Aviad Rubinsteinمشاهده پروفایل

استادیار

• Algorithms
• Complexity Theory
• Game Theory
• +۳ مورد دیگر

Aviad Rubinstein is an Assistant Professor of Computer Science at Stanford University, specializing in theoretical computer science with a focus on algorithms, complexity, and game theory. He has taught courses such as Design and Analysis of Algorithms (CS161), Incentives in Computer Science (CS269i), and Topics in Intractability (CS354). His research interests include approximation algorithms, computational complexity, and fair division, with notable work on envy-free cake-cutting and prophet inequalities. He advises several PhD students including Joshua Brakensiek and Ruiquan Gao, and mentors postdocs like Soheil Behnezhad. His undergraduate mentoring includes students from Tsinghua and Berkeley. Rubinstein has received the Kalai Prize from the Game Theory Society and a FOCS Best Paper Award for his work on inapproximability of Nash equilibria. Rubinstein co-authored Algorithms for Toddlers with Mary Wootters, a book simplifying computational concepts for younger audiences. He also organizes workshops on topics like fine-grained complexity and early career mentoring in computer science. Beyond academia, he consults part-time for the blockchain startup Lava. His research frequently bridges theoretical foundations with practical implications, such as developing algorithms with real-world applications in auctions, mechanism design, and optimization under constraints.

• Security Engineering
• Hardware Security
• Post-Quantum Cryptography
• +۴ مورد دیگر

Prof. Tim Güneysu is a full Professor and Head of the Security Engineering department at the Faculty of Computer Science, Ruhr-Universität Bochum. He serves as Vice Dean for Strategy and Finances (since 2023) and previously as Speaker of the Horst-Görtz Institute for IT-Security (2020-2023). His academic journey includes roles as Associate Professor at the University of Bremen (2015-2017) and Assistant Professor at Ruhr-Universität Bochum (2011-2015). He also holds positions at the German Research Center for Artificial Intelligence (DFKI) and has conducted postdoctoral research at UMass Amherst. His research focuses on Security-by-Design principles, CAD for Security, and countermeasures against physical attacks. He emphasizes efficient cryptographic implementations and system-level hardware security. Key areas include post-quantum cryptography, side-channel resistant designs, and secure embedded systems. He has contributed over 200 publications in top venues, with recent work on FPGA-based cryptographic accelerators, secure hardware extensions (e.g., KeyVisor), and post-quantum algorithms for IoT. His research themes include agile signature acceleration, fault attack mitigation, and hardware-software co-design for security. Notable projects include CONVOLVE (edge-AI security) and QuantumRISC (quantum-safe systems). His work bridges theoretical cryptography with practical hardware implementations, emphasizing real-world security applications.

• Insurance
• Risk Management
• Behavioral Economics
• +۴ مورد دیگر

Professor Christian Biener is a faculty member at the University of St. Gallen, affiliated with the School of Economics and Political Science and the Department of Economics. His research focuses on insurance economics, behavioral economics, and risk management, with particular emphasis on topics like cyber risk, microinsurance, health insurance design, and the societal impacts of emerging technologies such as chatbots and telematics. He holds a prominent role in academic and industry discourse through his extensive publication record and contributions to policy-relevant research. Biener’s work bridges theoretical economic analysis with practical applications, addressing challenges in global insurance markets, pandemic response strategies, and the interplay between technological innovation and human behavior. His research has explored how factors like microbiome composition influence economic decision-making, the ethical implications of contact-tracing apps, and the design of effective reinsurance strategies. He actively engages with industry trends, advising on future skills requirements in reinsurance and the balance between privacy and risk hedging in digital environments. His scholarly output spans over a decade, with recent trends emphasizing behavioral aspects of insurance decisions, the impact of global events on healthcare costs, and the transformational role of technology in insurance products. Biener’s articles consistently analyze both micro-level individual decision-making and macro-level market dynamics, offering insights that inform both academic theory and policy formation. While no formal awards are explicitly mentioned, his prolific publication record and institutional affiliation suggest significant recognition within the field. Biener’s work often incorporates experimental methodologies, such as randomized controlled trials, to empirically validate theoretical models. He collaborates across disciplines, integrating insights from psychology, computer science, and public health into his economic analyses. Biener’s current research agenda includes investigating the insurability of novel risks (e.g., cyber threats), optimizing microinsurance programs in emerging markets, and analyzing non-cognitive skills’ role in post-crisis economic recovery. He leads projects at the Institute for Economics (IVW) at HSG, contributing to both academic and applied research initiatives.

• Quantum Optics
• Photonics
• Nanotechnology
• +۳ مورد دیگر

Prof. Valerio Pruneri is an ICREA Professor and Group Leader at the Institute of Photonic Sciences (ICFO), holding the Corning Inc. Chair in Optoelectronics. He leads a research group focused on quantum optics, nanophotonics, and biomedical imaging. His academic background includes a PhD in Laser Physics from the University of Southampton (UK). Research interests span quantum communication technologies, plasmonic sensors, and nanomaterials for optical applications. Recent advancements include work on quantum key distribution systems, graphene-based devices, and super-sensitive phase imaging techniques. Articles highlight innovations in quantum-enhanced imaging, integrated photonic circuits, and hyperbolic metamaterials. His team collaborates on EU projects like NANO-GLASS ITN and FLIGHT, with a strong emphasis on translational research. Over 50 students and researchers are advised, many funded by national and international grants (e.g., Agencia Estatal de Investigación, CELLEX Foundation). Key lab facilities include state-of-the-art cleanrooms and optical characterization tools.

• Distributed Systems Security
• Distributed Algorithms
• Algorithms in Networking
• +۳ مورد دیگر

Haifeng Yu serves as Dean's Chair Associate Professor in the Department of Computer Science at the National University of Singapore's School of Computing. He actively contributes to academic governance as a Member of the Faculty Teaching Excellence Committee (FTEC) and teaches graduate courses including CS4231 Parallel and Distributed Algorithms and CS5223 Distributed Systems. His educational background includes: Ph.D. in Computer Science, Duke University, USA (2002) M.S. in Computer Science, Duke University, USA (1999) B.E. in Computer Science, Shanghai Jiao Tong University, P.R. China (1997) Professor Yu's research centers on Distributed Systems Security —particularly blockchain vulnerabilities like sybil attacks—and Distributed Algorithms for dynamic networks. His work bridges theoretical foundations with practical applications in vehicle-to-vehicle communication and disaster recovery systems, where mobile devices form ad-hoc networks when infrastructure fails. Current projects include BCube and Flint for overcoming blockchain's 50% barrier and Massively Parallel Aggregation in dynamic networks. Analysis of his 2018-2022 publications reveals a dominant focus on blockchain scalability challenges and dynamic network theory. Key trends include developing Byzantine fault tolerance beyond malicious majority thresholds, establishing fundamental lower bounds for network diameter uncertainty, and optimizing sublinear algorithms for T-interval dynamic networks. His work consistently targets top-tier venues like IEEE Security & Privacy (Oakland), JACM, and PODC. His research excellence is recognized through multiple prestigious awards: Best Paper at ACM SPAA (2020) Best Paper at ACM SIGCOMM (2010) Best Paper at ACM/IEEE IPSN (2009) Best Paper at USENIX NSDI (2006) Professor Yu mentors graduate students including Yuda Zhao and Irvan Jahja, with whom he co-authored seminal works on network diameter costs and dynamic network lower bounds. His research is supported by competitive grants enabling participation in premier conferences where he serves on program committees for PODC, DISC, SIGCOMM, CCS, and Oakland. He leads the BCube/Flint research group investigating blockchain security and dynamic network algorithms, with findings having direct implications for vehicle communication systems and post-disaster recovery networks.