جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Cryptography
• IT Security
• +۷ مورد دیگر

Assoc. Prof. Peter Schartner is an Associate Professor at the Department of Artificial Intelligence and Cybersecurity, Alpen-Adria-Universität Klagenfurt. He also serves as the Data Protection Officer, overseeing institutional compliance with data privacy regulations. His research focuses on cybersecurity, cryptography, and secure communication systems, with particular emphasis on automotive cybersecurity, quantum-resistant protocols, and secure exam environments. His work spans hardware security for embedded systems, privacy-preserving healthcare technologies, and IoT community-based security models. Notable contributions include developing the Secure Exam Environment (SEE) for online testing, cryptographic authentication methods, and quantum nonce mechanisms. He actively collaborates with the Trust Center to advance interdisciplinary security solutions. Research interests include: Cryptology, Digital Signatures, Information Security, Secure E-Business, and Cybersecurity in distributed systems. His projects often address practical challenges like functional safety in automotive control units and privacy in smart city technologies.

• Cryptography
• Cybersecurity and privacy
• Distributed systems and algorithms
• +۳ مورد دیگر

Philipp Jovanovic is a Professor of Information Security in the Department of Computer Science at University College London (UCL). His research focuses on applied cryptography, decentralized and distributed systems, blockchain technologies, cryptocurrencies, and privacy-enhancing technologies. He maintains an active publication record in top security venues including IEEE Security & Privacy and ACM CCS, with recent work appearing as late as 2025, indicating ongoing research activity. Professor Jovanovic's research spans several critical areas at the intersection of theory and practice. His work in applied cryptography includes developing novel protocols for secure computation with papers on zero-knowledge proofs, secret sharing, and distributed key generation. In blockchain technologies , he has made significant contributions to consensus protocols, privacy-preserving mechanisms, and scalability solutions. His research on cryptocurrencies examines both technical and economic aspects, including stablecoin stability and decentralized finance mechanisms. His privacy-enhancing technologies research addresses challenges in location privacy, contact discovery, and secure data management for decentralized systems. An analysis of Professor Jovanovic's recent publications reveals a strong emphasis on practical cryptographic systems with real-world applications. His work consistently bridges theoretical cryptography with systems implementation, particularly in blockchain and decentralized systems. Key trends include advancements in zero-knowledge proof systems (especially SNARKs), improvements to consensus protocols for better efficiency and fault tolerance, and novel applications of cryptography to privacy challenges in social and financial systems. His research demonstrates a balance between theoretical rigor and practical implementation considerations. Professor Jovanovic collaborates extensively with researchers across institutions, as evidenced by his co-authorship patterns. His work often involves practical tools and evaluations, such as 'zk-Bench' for SNARK benchmarking. He has applied cryptographic techniques to diverse domains, including digital humanities as demonstrated in his work on blockchain for cultural heritage. His position as a full professor at UCL suggests active mentorship of graduate students and involvement in research grants related to security and cryptography. His research has significant practical implications for secure digital infrastructure, with applications in financial technology, secure communication systems, and decentralized applications. Professor Jovanovic's focus on both theoretical foundations and practical implementations makes his work particularly valuable for advancing the state of the art in computer security and privacy.

Wang Huaxiongمشاهده پروفایل

استاد

• Cryptography
• Cybersecurity
• Coding Theory
• +۳ مورد دیگر

Professor Wang Huaxiong is a distinguished academic and researcher in the School of Physical and Mathematical Sciences at Nanyang Technological University (NTU), Singapore, where he holds a professorship in the Division of Mathematical Sciences. He also has a courtesy appointment at the College of Computing & Data Science and leads key research centers like the National Centre for Research in Digital Trust (NCDT) and the Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS). His research focuses on cryptography, cybersecurity, coding theory, combinatorics, and theoretical computer science, with over 250 publications in top-tier journals and conferences. Education: PhD in Mathematics (1996), University of Haifa, Israel PhD in Computer Science (2001), University of Wollongong, Australia Professional Experience: Professor at NTU (2006–present) Former Head of Division of Mathematical Sciences (2013–2015) Prior faculty positions at Macquarie University and University of Wollongong His research interests span cryptography fundamentals, including post-quantum cryptography (code-based and lattice-based schemes), secure multiparty computation, homomorphic encryption, and privacy-preserving technologies. He has supervised over 50 PhD students and postdoctoral researchers, and serves on numerous editorial and program committees, including ASIACRYPT and PKC. Notable achievements include the 2004 Chris Wallace Award for mid-career computer scientists and an invited plenary talk at ASIACRYPT 2017. Key scientific contributions include advancements in lattice-based group signatures, zero-knowledge proofs, and privacy-preserving protocols. He has developed practical cryptographic schemes for real-world applications, such as secure cloud storage and vehicular networks, and his work frequently addresses challenges in post-quantum security and cryptographic efficiency. Professor Wang leads interdisciplinary initiatives, including privacy-preserving technologies for industrial IoT and blockchain systems. His research teams collaborate internationally, addressing cutting-edge problems in security and cryptography.

• Cryptography
• Secure Multi-Party Computation
• Data Privacy
• +۵ مورد دیگر

Tal Malkin is a Professor at Columbia University's Department of Computer Science, School of Engineering and Applied Science. Her work spans cryptography, secure computation, and data privacy, with a focus on non-malleable codes, topology-hiding communication, and privacy-preserving protocols. 2025: Peony Onion Encryption for asynchronous anonymity 2024: Structural lower bounds for pseudorandom functions 2022: XSPIR for Ring-LWE-based private retrieval Research themes include: Cryptographic Foundations: Non-malleability, garbling circuits, and zero-knowledge protocols Privacy-Preserving Systems: Differential privacy, secure multi-party computation, and database anonymity Applied Security: Biometric encryption, model watermarking, and polymer-based unclonable functions Her 15 most recent publications analyze anonymity in dynamic networks, robust watermarks for AI models, and tamper-resilient encryption. Keywords span computer science, cryptography, and machine learning. Sub-fields include secure computation, lattice-based cryptography, and function-private protocols.

Peihan Miaoمشاهده پروفایل

استادیار

• Cryptography
• Security
• Theoretical Computer Science
• +۳ مورد دیگر

Peihan Miao is an Assistant Professor in the Department of Computer Science at Brown University, affiliated with the Theory Group. She holds a PhD from UC Berkeley (2019) under Sanjam Garg and a BS from Shanghai Jiao Tong University. Prior to Brown, she was at the University of Illinois Chicago (2020–2022) and Visa Research (2019–2020). Her research focuses on cryptography and security, particularly secure multi-party computation (MPC), with applications in genomics and privacy-preserving machine learning. She has received NSF, Meta, Google, and Amazon awards. Her work bridges theoretical foundations and practical implementations, addressing challenges in private set intersection (PSI), updatable encryption, and federated learning. Teaching includes courses on cryptography and secure computation at Brown and UIC. She mentors PhD students and postdocs, leading collaborative projects in privacy-enhancing technologies. Her lab explores MPC protocols, privacy-preserving techniques, and interdisciplinary applications in bioinformatics. Key awards include the NSF CAREER Award and Google/Amazon Research Scholarships. Grants support projects like privateQTL for genomic data analysis and secure PSI protocols. Her service includes program committees for CRYPTO, TCC, and ASIACRYPT.

• Privacy & Security
• Distributed Computing
• Coding Theory
• +۲ مورد دیگر

Rafael Gregorio Lucas D'Oliveira is an Assistant Professor in the School of Mathematical and Statistical Sciences at Clemson University. His research focuses on Privacy & Security, Distributed Computing, Coding Theory, Information Theory, and Combinatorics. He holds a PhD in Applied Mathematics from the University of Campinas (advisor: Marcelo Firer) and has held postdoctoral positions at MIT (with Muriel Médard) and Rutgers University (with Salim El Rouayheb). He also completed a research internship at Telecom Paristech under Patrick Sole's supervision. Dr. D'Oliveira's work integrates theoretical foundations with practical applications in secure communication, cryptography, and distributed systems. His contributions include advancements in post-quantum cryptography, federated learning privacy, and codes for secure data transmission. His research often bridges information theory, combinatorics, and applied mathematics to address challenges in modern communication systems. Notable research directions include leveraging network coding for cryptographic robustness, developing privacy-preserving mechanisms in distributed computing, and optimizing error correction in cryptographic protocols. His interdisciplinary approach reflects in collaborations across academia and industry, targeting both theoretical insights and real-world implementations. His educational background includes a strong foundation in mathematical sciences, with postdoctoral training emphasizing applied research in secure systems. He maintains active engagement in academic communities, contributing to conferences like ISIT and publishing in top-tier venues. Current initiatives focus on scalable security solutions for next-generation networks and IoT systems.

• Cryptography
• Network Security
• Complexity Theory
• +۳ مورد دیگر

Muthu ramakrishnan Venkitasubramaniam is a Professor in the Department of Computer Science at Georgetown University. He previously held positions at the University of Rochester, where he served as an Assistant and Associate Professor. His research focuses on cryptography, network security, and complexity theory, with notable contributions to zero-knowledge proofs, secure multiparty computation, and post-quantum cryptography. He obtained his Ph.D. in Computer Science from Cornell University under Rafael Pass, followed by a CI Fellowship at NYU and Columbia University. His research is supported by grants from the National Science Foundation (NSF), IARPA, DARPA, JP Morgan, Google, and the McCourt School of Public Policy. Venkitasubramaniam co-invented the Ligero ZK-SNARK and co-founded Ligero Inc., advancing lightweight cryptographic tools. He has extensive teaching experience, including courses like Cryptography (COSC 530) and Introduction to Cryptography (COSC 260). He actively contributes to the academic community through editorial roles, conference organization, and reviewing activities, including serving as General Chair for CRYPTO 2019 and Program Chair for the ZKProof Standardization Workshop. His work emphasizes adaptive security, black-box constructions, and efficient cryptographic protocols. Key publications include advancements in ZK CPUs, distributed zero-knowledge proofs, and lightweight secure computation frameworks like LevioSA and Ligero. His research balances theoretical foundations with practical implementations, addressing challenges in privacy-preserving computation and post-quantum security.

Neha Potnisمشاهده پروفایل

دانشیار

• Plant Pathology
• Microbial Genomics
• Plant-Microbe Interactions
• +۳ مورد دیگر

Neha Potnis is an Associate Professor of Bacteriology in the Department of Entomology & Plant Pathology at Auburn University's College of Agriculture. Her research focuses on understanding microbial pathogenesis, plant-microbe interactions, and the evolution of bacterial pathogens in agricultural systems. She leads a lab investigating genomic and ecological drivers of pathogen emergence, with particular emphasis on Xanthomonas species and their impact on crops like tomato and pepper. Her work integrates genomic sequencing, computational biology, and experimental pathology to address challenges in crop disease management. Key areas include copper resistance evolution in plant pathogens, phyllosphere microbiome dynamics, and the role of environmental stressors like ozone in shaping host-pathogen relationships. Dr. Potnis also advocates for open science practices in plant pathology research. Recent projects explore AI-driven prediction systems for bacterial virulence factors and the global epidemiology of plant pathogens such as Xylella fastidiosa. Her lab's findings contribute to developing resilient crop varieties and sustainable agricultural practices against evolving threats. Dr. Potnis is affiliated with Auburn University’s Rouse Life Science Building and collaborates with the Alabama Agricultural Experiment Station. She actively publishes in high-impact journals and participates in initiatives to improve disease surveillance and management strategies for bacterial spot diseases.

Sobia Jangsherمشاهده پروفایل

استادیار

• Resource Allocation
• Optimization
• AI/ML for Wireless Communication
• +۳ مورد دیگر

Dr. Sobia Jangsher is an Assistant Professor at the School of Electronic Engineering, Dublin City University (DCU), Ireland. Prior to joining DCU, she held academic roles at the Institute of Space Technology, Islamabad (2015–2021) and Khalifa University, Abu Dhabi (2021–2023). She earned her PhD in Optimization for Wireless Communication from the University of Hong Kong (2015) and an MS in Communication Systems from NUST (2007). Her research focuses on resource allocation/optimization , AI/ML for wireless communication , and intelligent reflective surfaces (IRS) . She has authored over 50 peer-reviewed articles in top-tier journals and conferences, with recent work emphasizing IRS-assisted UAV networks, federated learning for vehicular edge computing, and secure communication protocols. Key research trends in her articles include: Integration of AI/ML techniques for dynamic resource allocation in mobile networks Optimization of IRS elements for UAV swarm communications Secure key generation using physical layer techniques Energy-efficient frameworks in heterogeneous networks (HetNets) Her teaching interests span Wireless Communication, Machine Learning, and Stochastic Processes . No awards or grants are explicitly listed in the provided materials.

Prashant Nalini Vasudevanمشاهده پروفایل

استادیار

• Cryptography
• Complexity Theory
• Theoretical Computer Science
• +۲ مورد دیگر

Prashant Nalini Vasudevan serves as an Assistant Professor and NUS Presidential Young Professor in the Department of Computer Science at the National University of Singapore's Faculty of Computing. His research focuses on the theoretical foundations of cryptography and complexity theory, with particular emphasis on identifying computational hardness assumptions that can support cryptographic constructions. Dr. Vasudevan's research interests span Cryptography , Complexity Theory , and Theoretical Computer Science , with specific focus on statistical zero-knowledge proofs, fine-grained cryptographic primitives, and the intersection of cryptography with data privacy regulations. His work explores how computational hardness can be leveraged to build secure systems while addressing modern privacy concerns such as the right to be forgotten. Analysis of his recent publications reveals a strong trend toward statistical zero-knowledge systems, batch verification techniques, and formal approaches to data deletion. His research bridges theoretical computer science with practical privacy concerns, particularly in the context of machine learning systems and regulatory compliance. The work demonstrates increasing sophistication in cryptographic protocols while maintaining rigorous security proofs. NUS Presidential Young Professorship (2021-2026): Computational Hardness Assumptions and the Foundations of Cryptography NRF Fellowship (2022-2027): Fine-Grained Cryptography Dr. Vasudevan actively mentors multiple PhD students including Haoxing Lin, Yunqi Li, and Kel Zin Tan, along with postdoctoral researcher Rohit Chatterjee. His research group focuses on theoretical cryptography with applications to privacy-preserving systems. Current projects include developing new cryptographic primitives based on fine-grained hardness assumptions and exploring the theoretical foundations of data deletion in machine learning contexts.

• Cybersecurity
• Privacy-Preserving Machine Learning
• Secure Multi-Party Computation
• +۳ مورد دیگر

Xiaoning (Maggie) Liu is a Lecturer (equivalent to US Assistant Professor) at the School of Computing Technologies, RMIT University, where she earned her Ph.D. in Computer Science. Her research focuses on secure systems to address data privacy and security challenges in machine learning, particularly through secure multi-party computation (MPC) and privacy-preserving machine learning (PPML). She applies these techniques to practical domains like medical diagnostics and mobile image classification. Her design philosophy emphasizes lightweight, fundamental protocols leveraging advanced cryptographic methods, such as function secret sharing and zero-knowledge proofs. Research Interests: Secure multi-party computation and its applications in PPML Privacy-preserving medical diagnostics (e.g., MediSC , CryptMed , OblivGNN ) Secure cloud and edge computing systems ( Sonic , EncSIM , Leia ) Cross-domain encryption and collaborative computation Advising & Supervision: Xiaoning supervises Masters and PhD students in research projects such as intrusion detection systems for healthcare IoT devices, defenses against backdoor attacks in neural networks, and privacy-preserving fairness verification. She emphasizes recruiting self-motivated researchers passionate about impactful security work. Interdisciplinary Contributions: Her work bridges computer systems, cryptography, and machine learning to address real-world challenges in areas like MLaaS, medical data collaboration, and mobile-edge inference. Collaborative frameworks like MediSC and Leia

Maria Ankarcronaمشاهده پروفایل

استاد

• Alzheimer's Disease
• Mitochondrial Function
• Neurodegeneration
• +۳ مورد دیگر

Maria Ankarcrona is Professor of Experimental Neurogeriatrics and Head of the Department of Neurobiology, Care Sciences and Society (NVS) at Karolinska Institutet since 2021. Her research focuses on mitochondrial dysfunction in Alzheimer's disease, particularly ER-mitochondria interactions and Aβ peptide mechanisms. She has coordinated EU-funded JPND/VR projects and leads one of KI's largest departments with extensive research and educational responsibilities. Professor of Experimental Neurogeriatrics, Karolinska Institutet (2018-) Head of Department, NVS (2021-) Research Interests: Mitochondrial import of Aβ peptides via TOM complex ER-Mitochondria contact sites (MAM) in synaptic regulation Flavonoids as mitochondrial stabilizers Neuron-astrocyte mitochondrial transfer mechanisms Calcium signaling dysregulation in AD Early bioenergetic changes in AD pathogenesis Article Trends: 2018-2024 publications emphasize mitochondrial-ER interplay across 15+ journals 2023 work connects mitochondrial dysfunction to neuroinflammation and synaptic changes 2022 studies explore exocytosis regulation and astrocyte energy metabolism 2021 articles highlight flavonoid discovery and MIEF1/2 mitochondrial dynamics Longitudinal focus on TOM70's role in calcium transfer (2018-2024) Scientific Awards: KI Work Environment Award 2024 (shared with administrative manager) Education & Supervision: PhD in Biology and Chemistry, Stockholm University (1991) Supervised 5 completed doctoral students, currently supervising 1 PhD student Responsible for neurodegeneration modules in KI's Biomedicine Master's program Research Group Highlights: Identified early mitochondrial dysfunction preceding Aβ deposition Developed reversible chemogenetic reporters for membrane contact dynamics Established flavonoid-based mitochondrial enhancer screening platform Discovered TOM70's role in ER-mitochondria calcium transfer Active in JPND/VR EU consortium for cross-disease mitochondrial research

Katharine Greenawayمشاهده پروفایل

مدرس

• Social Psychology
• Emotion Regulation
• Social Identity
• +۵ مورد دیگر

Dr. Katharine Greenaway is a Lecturer at the University of Melbourne and holds an Honorary Senior Fellow position at the University of Queensland . She is affiliated with the Social Identity and Groups Network (SIGN) and focuses her research on social functioning across three domains: identity processes, emotion regulation, and human agency. Education : PhD, University of Queensland Bachelor (Honours) of Psychological Science, University of Queensland Research Interests center on understanding how emotions shape social connections, particularly through emotion regulation strategies that foster social harmony or distance. Additionally, she investigates how social groups enhance personal and collective functioning, impacting health, well-being, and communication. Her work also extends to climate change anxiety, secrecy, and organizational behavior. Publications demonstrate a focus on emotion regulation, social identity, and group dynamics, spanning diverse contexts such as pandemic lockdowns, interpersonal relationships, and political identification. Key themes include the psychological costs and benefits of secrecy, the role of shared identity in communication, and strategies for managing climate-related anxiety. Scientific Awards & Grants : Australian Research Council DECRA fellowship CIFAR Global Scholar CIFAR Junior Fellowship UQ Early Career Researcher Grant COMPASS passport processing grants Commonwealth Department of Foreign Affairs & Trade funding Supervision : She has served as an associate advisor for PhD theses at the University of Queensland, notably on topics related to information access regulation and social identity perspectives.

Francesco Arzaniمشاهده پروفایل

استادیار

• Quantum Information Science
• Quantum Optics
• Continuous-Variable Quantum Computing
• +۵ مورد دیگر

Francesco Arzani is a junior professor at INRIA Paris and a member of the QAT team within the Department of Informatics at École Normale Supérieure. He obtained his PhD from ENS/PSL and Laboratoire Kastler Brossel, followed by post-doctoral appointments at LIP6, LORIA and Freie Universität Berlin. His research sits at the intersection of quantum optics and quantum information, with a focus on continuous-variable systems, bosonic error-correcting codes and fault-tolerant quantum computation. Education: PhD in Physics, École Normale Supérieure & Paris Sciences Lettres (2018) Graduate studies in quantum optics, Laboratoire Kastler Brossel Research interests: Arzani’s work targets the theory–experiment interface of continuous-variable quantum information processing. He designs non-Gaussian resources (photon subtraction, engineered squeezing), develops bosonic error-correcting codes (notably Gottesman–Kitaev–Preskill codes) and investigates fault-tolerant architectures that remain realistic with present-day photonic technology. Key themes include universal CV gate sets, entanglement in optical frequency combs, measurement-based quantum computation and the mathematical structure of lattice codes in phase space. Publication trends: Across 20+ peer-reviewed articles and several preprints, Arzani consistently advances from abstract code design to experimental feasibility . Recent works (2022-2025) emphasize fault-tolerant thresholds and symmetry-enhanced variational algorithms, while earlier papers map out practical methods to generate and certify multimode entanglement in femtosecond-frequency-comb platforms. Scientific outreach & awards: He has delivered invited seminars at Xanadu, WACQT, NC State and numerous international workshops; serves as referee for leading quantum journals; and maintains open-source slides and posters for community use. No competitive fellowships or prizes are explicitly listed in the supplied sources. Team & grants: Arzani leads independent research funded through the INRIA Junior Professor Chair scheme and participates in the French “Défi EQIP” quantum initiative. He collaborates closely with experimental groups at Kastler Brossel, Xanadu and within the EU continuous-variable quantum community, co-supervising graduate students and post-docs in the QAT team.

Emmanuela Orsiniمشاهده پروفایل

استادیار

• Cryptography
• Secure Computation
• Multiparty Computation
• +۷ مورد دیگر

Emmanuela Orsini serves as an Assistant Professor in the Department of Computing Sciences at Bocconi University in Milan, Italy. She previously held a permanent position as a Research Expert in the Computer Security and Industrial Cryptography (COSIC) group at KU Leuven, Belgium, and worked as a Senior Research Associate at the University of Bristol, UK. Her educational background includes a PhD in Mathematics and Statistics for the Computational Sciences from the University of Milano and a Master's degree in Mathematics from the University of Pisa. These qualifications form the foundation of her expertise in both theoretical and applied aspects of cryptography. Orsini's research spans the theoretical and practical dimensions of secure computation, with particular emphasis on multiparty computation and homomorphic encryption. Her work on efficient zero-knowledge schemes has contributed to practical implementations of cryptographic protocols that maintain security while optimizing computational resources. She has made significant contributions to post-quantum cryptography, notably through her involvement in the NIST post-quantum standardization process with the LIMA and NewHope submissions, as well as developing the FAEST signature algorithm which leverages AES for quantum-resistant signatures. Analysis of her recent publications reveals a strong focus on optimizing cryptographic protocols for practical deployment. Her work demonstrates consistent advancement in making multi-party computation more efficient while maintaining security guarantees, with particular attention to zero-knowledge proofs and post-quantum cryptographic constructions. The progression from theoretical foundations to practical implementations is evident across her publication history. Orsini has served on program committees for numerous prestigious cryptography conferences including CRYPTO, EUROCRYPT, and ACM CCS, reflecting her standing in the cryptographic research community. Her editorial work includes serving on the boards of Mathematical Cryptology and Communications in Cryptology. Her teaching activities span multiple institutions, with recent courses including Information Theory and Introduction to Computer Science at Bocconi University. Previously, she has taught post-quantum cryptography at the University of Pisa, public key cryptography at ESA/ESTEC, and coding theory at KU Leuven and University of Bristol. Orsini actively contributes to collaborative research projects, particularly in the post-quantum cryptography space through her involvement with the NIST standardization process. Her recent work on FAEST demonstrates her leadership in developing practical quantum-resistant signature schemes that balance security, efficiency, and implementation considerations.