جست‌وجوی استاد و پژوهشگر

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +۴ مورد دیگر

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

Toni Milunمشاهده پروفایل

مدرس

• Mathematics Education
• Financial Mathematics
• Business Statistics
• +۳ مورد دیگر

Toni Milun serves as a lecturer in mathematics and statistics at Algebra University of Applied Sciences, where he bridges theoretical concepts with practical business applications. His academic foundation includes a 1999 degree from the Faculty of Science and Mathematics at the University of Zagreb and a 2012 postgraduate specialist degree in Statistical Methods for Economic Analysis and Forecasting from the Faculty of Economics in Zagreb. He is currently completing his doctoral research in Economics at the Faculty of Economics in Rijeka. His research spans Mathematics Education, Financial Mathematics, and Business Statistics, with a distinctive focus on making complex quantitative concepts accessible through innovative pedagogical approaches. Milun's work consistently connects mathematical theory to real-world economic scenarios, particularly in SME financing, investment analysis, and statistical literacy for decision-makers. His publications reveal a strong emphasis on practical applications in Croatian business contexts and educational settings. Analysis of his 15 most recent publications shows dominant themes in financial mathematics (35%), business statistics (30%), and adult education (25%), with recurring subfields including percentage calculations in commerce, regression modeling of socioeconomic factors, and maritime/IT-specific mathematical applications. His research demonstrates consistent engagement with Croatian economic data and educational challenges. His notable recognition includes: Pride of Croatia award for special contribution to education Milun actively disseminates knowledge through public-facing initiatives rather than formal academic advising. He has co-authored a high school mathematics textbook and provides consulting services in applied mathematics and statistics, focusing on business problem-solving. His educational outreach generates significant impact through digital platforms and traditional media. He leads the www.tonimilun.com educational portal and television productions ('Školski sat' and 'Financijalac'), directing teams of educators, video producers, and subject-matter experts to create accessible mathematical and financial literacy content for diverse audiences across Croatia.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +۶ مورد دیگر

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

Visa Koivunenمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Multisensor Systems
• +۴ مورد دیگر

Visa Koivunen is a Distinguished Professor of Signal Processing at Aalto University (since 1999), with positions as Academy Professor (2010) and Aalto Distinguished Professor (2020). He holds an honorary D.Sc. (Tech.) from the University of Oulu and has held visiting roles at Princeton University, the University of Pennsylvania, and EPFL. His research focuses on statistical signal processing, wireless communications, radar systems, and integrated sensing and communications (ISAC). He has published over 490 papers, including award-winning works, and advised 31 doctoral theses. Key roles include leadership in conferences (e.g., Asilomar 2018 General Chair) and technical committees (IEEE SPS). Recognitions include the EURASIP Technical Achievement Award (2015), IEEE Signal Processing Society Best Paper Awards (2007, 2017), and EURASIP Fellow status (2020). He co-chairs NATO panels on cognitive radars and ISAC. His research interests span signal processing fundamentals and applications in radar, communications, and machine learning. Recent work emphasizes ISAC, reinforcement learning for resource allocation, and causal inference in federated systems. He has pioneered waveform design techniques using GANs and Bayesian methods for spatial signal analysis. Educations: D.Sc. (Tech.) with honors from the University of Oulu (1994), Primus Doctor Award (1989-1994). Awards: IEEE Fellow, EURASIP Fellow, Member of Academia Europaea. Service: Associate Editor for IEEE Transactions, Chair of IEEE SPAWC and Asilomar conferences. His work bridges theory and practice, addressing challenges in radar-communication coexistence, energy-efficient edge computing, and secure distributed inference. He has delivered over 50 invited talks globally and actively contributes to NATO initiatives on cognitive radar systems.

• Cybersecurity
• Security Analytics
• Big Data Security Intelligence
• +۶ مورد دیگر

Gail-Joon Ahn is a Professor of Computer Science and Engineering at Arizona State University (ASU), serving as the Founding Director of the Center for Cybersecurity & Trusted Foundations (CTF) and the SEFCOM Laboratory. Previously, he was an Associate Professor at the University of North Carolina at Charlotte, leading the Center for Digital Identity and Cyber Defense Research. He holds a Ph.D. in Computer Science from George Mason University (2000). His research focuses on security analytics, big data-driven security intelligence, vulnerability management, identity privacy, and formal security models. Notable contributions include work on SDN security, phishing defense, and user-centric identity management systems. His research has been funded by major agencies like NSF, NSA, DoD, DOE, and industry partners including Cisco, Intel, and Microsoft. Ahn has received prestigious awards, including IEEE Fellow (2023), ACM Distinguished Scientist (2015), and the DOE Early Career Award (2003). He serves on editorial boards of top journals (e.g., IEEE TDSC, ACM TIFS) and chairs conferences like ACM CCS and ACM SACMAT. His leadership roles include steering committees for cybersecurity initiatives and advisory boards for institutions like NC A&T State University. Education: Ph.D., Computer Science, George Mason University, 2000 Key Grants: NSF-CISE (Privacy-Aware Data Sharing), NSA (DoD Information Assurance), DOE (Assured Resource Sharing) Labs: SEFCOM Lab, CTF Center

• Cryptography
• Lattice-based cryptography
• Post-quantum cryptography
• +۳ مورد دیگر

Professor Damien Stehlé is a faculty member at École Normale Supérieure de Lyon (ENS Lyon), where he is part of the AriC team within the Laboratoire de l'Informatique du Parallélisme (LIP). He is also a distinguished member of the Institut Universitaire de France. His research and teaching activities focus on cryptography, computational number theory, and computer algebra, with particular emphasis on lattice-based cryptographic systems. Stehlé's research primarily centers on the computational aspects of Euclidean lattices and their applications in cryptography. He has made significant contributions to lattice-based cryptography, particularly in the context of post-quantum cryptography. His work addresses fundamental questions about the hardness of lattice problems, algorithmic improvements for lattice reduction, and the development of practical cryptographic schemes based on lattice assumptions. He has been actively involved in the NIST post-quantum cryptography standardization process, contributing to the analysis of lattice-based candidates like Kyber and Saber. His publications span theoretical foundations to practical implementations, demonstrating a rare ability to bridge abstract mathematics with real-world cryptographic applications. Throughout his career, Stehlé has published extensively in top-tier cryptography and theoretical computer science venues. His research has been recognized with multiple best paper awards for groundbreaking contributions to the field. Best paper award at ASIACRYPT 2021 for 'On the hardness of the NTRU problem' Best paper award at ASIACRYPT 2015 for 'Improved security proofs in lattice-based cryptography' Best paper award at EUROCRYPT 2015 for 'Cryptanalysis of the Multilinear Map over the Integers' Professor Stehlé has supervised numerous PhD students over the years, often collaborating with other leading researchers in the field. He serves on program committees of major cryptography conferences and is a member of editorial boards for prestigious journals including the Journal of Cryptology and Designs, Codes and Cryptography. His research group at LIP's AriC team is recognized as a leading center for lattice-based cryptography research in Europe.

Sam Malekمشاهده پروفایل

استاد

• Software Engineering
• Security and Privacy
• Cryptography
• +۵ مورد دیگر

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine (UCI), and Director of the Software Engineering and Analysis Lab (SEAL). He holds a B.S. from UCI (2000) and M.S./Ph.D. from the University of Southern California (2004/2007). His research focuses on software engineering, security, accessibility, and self-adaptive systems, emphasizing tools for large-scale software analysis and protection. Malek has received prestigious awards, including the ACM SIGSOFT Test of Time Award (2020) and NSF CAREER Award (2013). His work bridges technical and human factors in cybersecurity, leveraging interdisciplinary approaches in the Donald Bren School of Information and Computer Sciences. Malek leads the Institute for Software Research (ISR) and has been funded by agencies like the Department of Defense, Department of Homeland Security, and NSF. His lab develops frameworks such as FUSION for self-adaptive systems and tools like Ma11y for accessibility testing. He also directs GAANN-funded cybersecurity initiatives to strengthen graduate education. Malek’s contributions span academic leadership, including editorial roles for top journals and expert testimony in intellectual property litigation. Research interests include secure software architectures, mobile computing vulnerabilities, and inclusive technology. His work addresses socio-technical challenges, such as balancing human behavior with technical safeguards against cyberattacks. Malek actively recruits Ph.D. students in software engineering to advance these critical areas.

Andreas Winterمشاهده پروفایل

استاد

• Quantum Shannon theory
• Classical Shannon theory
• Entropy and applications
• +۵ مورد دیگر

Andreas Winter is an ICREA Research Professor at Universitat Autònoma de Barcelona and holds a Hans Fischer Senior Fellowship at TUM-IAS, Technical University of Munich. He specializes in quantum and classical information theory with affiliations at the University of Cologne's Department of Quantum Information and Computation. His research examines fundamental limits in quantum communication, entropy applications, and quantum computing foundations. Education: Diploma in Mathematics, Freie Universität Berlin Ph.D. in Mathematics, Universität Bielefeld Research: His interdisciplinary work bridges quantum Shannon theory, thermodynamics, and discrete mathematics, exploring quantum channel capacities, information tradeoffs, and cryptographic protocols. Recent publications demonstrate advances in quantum coding efficiency and high-dimensional quantum systems. Awards: 2022: Hans Fischer Senior Fellowship, Alexander von Humboldt Prize, QCMC Quantum Award 2017: IEEE Information Theory Paper Award 2012: Whitehead Prize (LMS) 2007: Philipp Leverhulme Prize Leadership: Leads the Quantum Information Theory Focus Group at TUM-IAS, collaborating with Prof. Holger Boche on quantum communication frameworks.

• Information Theory
• Coding Theory
• Discrete Mathematics
• +۳ مورد دیگر

Charul Rajput is a Research Fellow at Aalto University's Department of Mathematics and Systems Analysis, School of Science. Their research focuses on Information Theory, Coding Theory, Discrete Mathematics, and Algebra, with a particular emphasis on caching systems and network optimization. Recent work includes advancements in hierarchical coded caching, hotplug models, and error probability analysis in communication channels. Publications span topics like function-correcting codes, private information retrieval, and locally recoverable codes. Rajput's research also intersects with systems analysis, addressing challenges in distributed storage and network efficiency. Research interests include the theoretical foundations of coding and information theory, with applications to modern communication systems. Key contributions address the design of efficient caching schemes and error-correcting codes for high-performance networks. No scientific awards or grants are explicitly mentioned in the provided texts. Rajput is affiliated with the Algebra and Discrete Mathematics research group at Aalto University, contributing to interdisciplinary projects that bridge pure mathematics and practical network systems.

• Chemical Sensors
• Measurement Systems
• Circuits and Systems Design
• +۴ مورد دیگر

Valerio Vignoli is an Associate Professor of Electronics at the University of Siena's Department of Information Engineering and Mathematics since 2005. He holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1994) from the University of Florence. His research focuses on chemical sensors, measurement systems, and circuits for ICT applications. He has pioneered low-cost IoT sensor solutions for environmental monitoring, healthcare, and industrial safety. Notable projects include magnetic contaminant detection systems, wearable health monitors for hazardous environments, and QCM-based biosensors for on-site diagnostics. His work integrates interdisciplinary approaches, such as applying machine learning to sensor signal processing and developing energy-efficient self-powered sensor nodes. He has contributed to advancing photoacoustic gas sensing, entropy estimation for secure random number generation, and wearables for occupational safety. His research emphasizes practical applications, including smart agriculture CO₂ monitoring and real-time worker health tracking. Dr. Vignoli has designed innovative systems like the remotely controlled test bench for ultrasonic anemometers and self-tunable chaotic TRNGs. His publications span sensor design, environmental technology, and hardware security, reflecting a commitment to bridging theoretical advancements with real-world implementation challenges.

• Sensor Technology
• Environmental Monitoring
• IoT Systems
• +۳ مورد دیگر

Ada Fort is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. Her research focuses on advanced sensor systems, including environmental monitoring, biomedical instrumentation, and IoT applications. She holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1992) from the University of Florence. Key research areas include wearable sensors for air quality monitoring, magnetic detection of contaminants, and QCM-based biosensors. Her work integrates machine learning for signal processing and fault detection in industrial and environmental systems. Notable projects involve self-sufficient IoT nodes powered by solar energy and low-cost sensor networks for agriculture and healthcare. Publications highlight innovations in sensor design, data imputation for environmental monitoring, and entropy-based security systems. Her contributions span interdisciplinary fields, linking engineering principles with applications in healthcare, agriculture, and climate science.

Jayakrishnan M. Purushothamaمشاهده پروفایل

استادیار

• Microwave Engineering
• Antenna Design
• Chipless RFID
• +۵ مورد دیگر

Jayakrishnan M. Purushothama is an Assistant Professor in the Microwave and Antenna Engineering Research Group at Heriot-Watt University's School of Engineering and Physical Sciences since March 2023. Previously, he held roles including Post-Doctoral Researcher (2019–2021) and Ph.D. scholar (2016–2019) at Université Grenoble Alpes, and Research Fellow (2014–2016) at Cochin University of Science and Technology. Education: B.Sc. (Electronics) & M.Sc. (Electronics Science), Mahatma Gandhi University & Cochin University of Science and Technology (2012–2014), both with first rank honours. Ph.D. (RF and Microwave Electronics Engineering), Université Grenoble Alpes (2019). Research interests focus on microwave antennas, beamforming, chipless RFID systems, CBRAM-based RF switches, medical biosensors, and electromagnetic compatibility. His work emphasizes reconfigurable systems, energy efficiency, and non-volatile memory applications in passive devices. Awards include the URSI Young Scientist Award (2020), 4th Prize in URSI Student Competition (2018), and UGC NET/JRF qualification (top 0.6% in 2013). Grants include ERC-funded ScattererID project (2019–2021) developing CBRAM-based RF switches. His lab explores innovations in antenna engineering, RF materials, and wearable electronics. Key contributions include reconfigurable antennas, low-cost RFID tags, and metamaterial-based shielding solutions.

Michail Maniatakosمشاهده پروفایل

دانشیار

• Encrypted Computation
• Industrial Control Systems Security
• Computer Architecture
• +۳ مورد دیگر

Michail Maniatakos is a Global Network Associate Professor of Electrical and Computer Engineering at NYU Tandon and a Research Associate Professor at NYU Abu Dhabi, serving as Program Head of Computer Engineering. He holds a PhD in Electrical Engineering from Yale University. His primary affiliations include the NYU Center for Cybersecurity (CCS) and directs the Modern Microprocessor Architectures (MoMA) Lab. Education: B.Sc. in Computer Science (University of Piraeus, 2006), M.Sc. in Embedded Systems (University of Piraeus, 2007), M.Sc. in Computer Engineering (Yale, 2008), M.Phil. in Electrical Engineering (Yale, 2009), and Ph.D. in Electrical Engineering (Yale, 2012). Research focuses on encrypted computation, industrial control systems security, and 3D printing security. His work is funded by the U.S. Office of Naval Research, DARPA, and Abu Dhabi's Department of Education and Knowledge. He has authored numerous IEEE/ACM publications, holds patents on privacy-preserving data processing, and serves on conference technical committees. Recent articles explore hardware security, adversarial machine learning, and privacy-preserving computation. His teams have developed secure microprocessor architectures and frameworks for ICS vulnerability analysis. Awards include Senior Member of IEEE. Teaching includes courses like Computer Organization and Architecture and Hardware Security , emphasizing design, security, and ethical implications of emerging technologies. Active in research initiatives such as the NYUAD secure microprocessor project and ICSFuzz framework development. Labs/Groups: MoMA Lab (specializing in microprocessor architectures and security), affiliated with NYU CCS. Collaborates on projects like TREBUCHEt (FHE accelerators) and ICSML (industrial control ML frameworks).

• Privacy-Preserving Protocols
• Secure Multi-Party Computation
• Homomorphic Encryption
• +۵ مورد دیگر

Daniel Demmler is an Assistant Professor at Darmstadt University of Technology's Department of Computer Science, specializing in privacy-preserving protocols and cryptographic systems. His research focuses on practical implementations of secure multi-party computation, homomorphic encryption, and privacy-preserving machine learning frameworks. Dr. Demmler's primary research interests lie in making cryptographic protocols practical for real-world applications. His work spans secure multi-party computation, threshold homomorphic encryption, federated learning security, and defenses against property inference attacks. He has made significant contributions to frameworks like MOTION for mixed-protocol computation and Noah's Ark for threshold-FHE systems. His research bridges theoretical cryptography with practical implementation challenges, focusing on efficiency and real-world applicability. Analysis of his recent publications reveals a strong focus on threshold cryptography and privacy-preserving machine learning. His work shows increasing sophistication in balancing security guarantees with computational efficiency, particularly in distributed settings. The trend indicates growing interest in quantum-resistant cryptographic approaches and defenses against emerging machine learning privacy threats. Best Paper Award at SECRYPT 2021 Distinguished Paper Award at CCS 2018 Dr. Demmler leads the Cryptology and Privacy Research Group at TU Darmstadt, collaborating extensively with international researchers in the field. His team focuses on developing practical implementations of advanced cryptographic protocols that can be deployed in real-world systems while maintaining strong security guarantees. Current projects include threshold homomorphic encryption systems and privacy-preserving machine learning frameworks.

Esther Hänggiمشاهده پروفایل

استاد

• Cyber Security
• Quantum Cryptography
• Information Security
• +۳ مورد دیگر

Esther Hänggi is a Professor and Co-Head of the Applied Cyber Security Research Lab at Lucerne University of Applied Sciences and Arts (HSLU), within the Lucerne School of Computer Science and Information Technology. She holds a Dr. sc. ETH Zurich in quantum information and cryptography and a MSc in Physics from EPF Lausanne. Her research focuses on cyber security, quantum cryptography, and quantum computing, with emphasis on practical applications like quantum-safe cryptography and post-quantum algorithms. She has led projects such as the Quantum-safe Hardware Security Module and contributed to initiatives like the IFZ FinTech. Her work bridges theoretical advancements and real-world implementations, including privacy amplification libraries and quantum key distribution systems. Notable awards include the ETH Medal for her doctoral thesis. She actively collaborates with institutions like the Swiss Quantum Initiative and the European Cyber Security Organisation, promoting quantum resilience in security systems.