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Diego F. Aranha is an Associate Professor in the Department of Computer Science at Aarhus University . His research focuses on cryptographic systems, cybersecurity, and privacy-preserving technologies with applications in voting systems, post-quantum cryptography, and secure computation. He has contributed extensively to homomorphic encryption, secure multiparty computation (MPC), and cryptanalysis of cryptographic implementations. Key projects include: MPCC (2025-2028) : Multi-Party Computation in the Confidential Cloud SCI (2024-2027) : Secure Computation Infrastructures for the Retail Industry RENAIS (2021-2026) : Residue Number Systems for Cryptography His work emphasizes practical efficiency and formal verification of cryptographic protocols. Recent publications highlight advancements in lattice-based cryptography, secure voting schemes, and mitigating side-channel vulnerabilities in post-quantum algorithms. He actively collaborates on open-source cryptographic libraries and standards, with a focus on bridging theoretical security and real-world implementation challenges.

• Cryptography
• Cybersecurity
• Homomorphic Encryption
• +7 more

Ashutosh Dhar Dwivedi is an Assistant Professor in the Cybersecurity Group at Aalborg University, Copenhagen, Denmark. He specializes in blockchain security, applied cryptography, post-quantum cryptography, and advanced cybersecurity. His interdisciplinary research spans cryptography, IoT security, and AI-driven security analytics. Education: PhD in Cryptography, with postdoctoral research at institutions including the University of Waterloo, Technical University of Denmark, and the Polish Academy of Sciences. His pedagogical focus includes professional upskilling in cyber defense and post-quantum resilience. Research interests include post-quantum cryptographic protocols, privacy-preserving blockchain systems, and machine learning for security. His work has yielded over 50 peer-reviewed papers, including contributions to high-impact journals and conferences. Notable achievements: 2023 and 2024 Stanford University Top 2% Scientist ranking. Contributions: Editorial roles in international journals, program committees for premier conferences, and leadership in academic-industry collaborations like the Quantum Communication Infrastructure (QCI) consortium. Active in developing quantum-secure systems for national and industrial infrastructure.

• Cybersecurity
• Post-Quantum Cryptography
• Blockchain Security
• +4 more

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

• Energy Systems
• Drone Technology
• Blockchain Applications
• +12 more

Claudio Orlandi is a Professor in the Department of Computer Science at Aarhus University. His research focuses on cryptography, secure computation, privacy-preserving technologies, and blockchain security. He is actively involved in advancing cryptographic protocols for applications such as secure multi-party computation, zero-knowledge proofs, and homomorphic encryption. Orlandi has contributed to numerous high-impact publications on topics ranging from threshold cryptosystems to privacy-preserving analytics. He serves as Chief Cryptographic Protocol Designer and Partner at Partisia, where he applies his expertise to real-world cryptographic solutions. His work emphasizes practical implementations of secure systems, including protocols for distributed data analytics, private set intersection, and accountable blockchain mechanisms. Orlandi’s research bridges theoretical cryptography with real-world usability, addressing challenges in privacy, efficiency, and security in distributed environments. Key areas of specialization include secure computation frameworks, post-quantum cryptography, and cryptographic mechanisms for distributed systems. His contributions have been recognized through collaborations with industry partners and academic institutions, driving innovation in privacy-preserving technologies.

• Cryptography
• Secure Computation
• Privacy-Preserving Technologies
• +3 more

Professor Ivan Bjerre Damgård is affiliated with the Department of Computer Science at Aarhus University, where he holds a full academic rank of Professor. His primary research focus lies in cryptography, secure communication, and privacy-preserving technologies. Key areas include multi-party computation (MPC), homomorphic encryption, and differential privacy. He has contributed to foundational work on secure protocols for dynamic networks, threshold cryptosystems, and resilient distributed systems. His recent publications (2023–2024) emphasize advancements in MPC protocols with optimized communication and round complexity, secure computation in unstable networks, and privacy-preserving techniques. Notable work includes 'Phoenix' (2023) addressing network instability and 'Broadcast-Optimal MPC' frameworks minimizing setup requirements. Professional activities include organizing conferences like TCC 2009 and ICALP 2008, as well as delivering lectures on cryptography and IT security. No scientific awards are explicitly listed in the provided information. His research collaborates extensively with global institutions, reflected in co-authored papers with researchers like Agarwal, Braun, and Ciampi. Ongoing work appears to prioritize practical implementations of theoretical cryptographic constructs in real-world distributed environments.

• Cryptography
• Secure Communication
• Multi-Party Computation (MPC)
• +3 more

Ivan Damgård is a Professor at the Computer Science Department of Aarhus University. His research focuses on cryptography, data security, quantum information, and algorithms. He co-authored the book Information Theoretically Secure Multiparty Computation and Secret Sharing with Ronald Cramer and Jesper Buus Nielsen. He is head of the Cryptography Group at Aarhus University and co-founder of companies Cryptomathic and Partisia, specializing in data security and secure multiparty computation. He teaches courses such as Introductory Cryptography, Cryptologic Protocol Theory, and Quantum Information Processing. His work involves major research projects like CACE, CFEM, and ITSCI. He has contributed to debates on provable security in cryptography, including a position paper clarifying misunderstandings in the field. Outside academia, Damgård is an active folk musician, playing fiddle and guitar in multiple bands and releasing several albums.

• Cryptography
• Data Security
• Quantum Information
• +3 more

Jonas Olafsson serves as an Assistant Lecturer at the Technical University of Denmark (DTU), where he bridges academic instruction with cutting-edge research in biometric security. His institutional affiliation centers on DTU's computer science and engineering ecosystem, though specific school/department details remain unconfirmed in available materials. Olafsson's research forms a distinctive fingerprint in privacy-enhanced biometrics: Homomorphically encrypted biometric identification systems Computational burden reduction for encrypted matching Speed-up optimization through coefficient packing Dimensionality reduction preserving recognition performance Tradeoff analysis between security and usability His seminal 2022 work demonstrates how coefficient packing techniques drastically reduce processing overhead in encrypted biometric matching while maintaining accuracy. This research direction addresses critical industry pain points in deploying GDPR-compliant biometric systems across financial, healthcare, and consumer technology sectors. As an early-career academic with a student email identifier, Olafsson likely operates within DTU's graduate teaching assistant framework. His publication record shows focused contributions to biometric security with tangible industry impact evidenced by patent citations, though comprehensive details about supervision capacity or grant leadership remain undisclosed in current documentation.

• Biometric Identification
• Encrypted Biometrics
• Biometrics
• +5 more