Sencun Zhu is an Associate Professor in the Department of Computer Science and Engineering, specializing in cybersecurity, network security, and privacy-preserving technologies. With over 183 research outputs and an h-index of 51, Zhu's work spans wireless sensor networks, Android security, federated learning, and intrusion detection systems. Key Research Areas: Cybersecurity, wireless sensor networks, adversarial machine learning, privacy-preserving analytics, and Android vulnerability detection. Projects: Led multiple NSF-funded initiatives including "Combating Worm Propagation in Emergent Networks" (2007-2013), "Obfuscation-Resilient Software Plagiarism Detection" (2013-2017), and "Reputation-Escalation-as-a-Service" (2016-2020). Recent Trends: Focus on backdoor attacks in AI models, edge computing privacy solutions, and honeypot technologies leveraging large language models. Collaborations: Active in cybersecurity and sensor networks, with partnerships across academia and industry.
Prof. Dr. Michael Rademacher is a full-time Professor of Embedded Systems and Networks at Hochschule Bonn-Rhein-Sieg (H-BRS) and Research Group Leader of 'Secure Mobile Communication' at Fraunhofer FKIE. His dual affiliation bridges academic research and applied industry solutions, focusing on wireless networks and cybersecurity. Research Focus: Rademacher's work spans wireless communication (5G, LoRaWAN), IoT security, and network protocol optimization. He leads projects like HiLeit, developing satellite-5G hybrid networks for emergency services, and DigitalTwin-4-Multiphysics-Lab for industrial simulations. His lab investigates vulnerabilities in mobile systems while creating tools like Katti for automated web threat detection. Awards & Recognition: VDI Köln Promotion Prize, 1st Place (2014) Best Master's Thesis in Computer Science, H-BRS (2014) AFCEA Bonn Study Award, 1st Prize (2014) Projects & Grants: He directs multiple funded initiatives, including HiLeit (resilient disaster communication) and Cyber Security Learning Lab. His teams develop open-source frameworks like open5Gcube for network testing and publish extensively on TLS optimization and spectrum management.
Ivan Tot is an Associate Professor at the University of Defense's Military Academy in Belgrade, with a career spanning roles as Teacher (1999-2010) and Assistant Professor (2015). His academic foundation includes a Doctorate from the Military Academy (2010), a Master's from the University of Kragujevac (2008), and an undergraduate degree from the Military Technical Academy (1999). His research bridges Information Systems , Biometric Verification , and IoT Security , with applications in defense logistics, mobile communications, and healthcare technology. Recent publications explore biometric maternity verification, encrypted SMS applications, and military data-gathering techniques. He contributed to key projects: New information technologies for analytical decision-making (Ministry of Science, 2010-2016) Performance Analysis of Tactical Telecommunications Systems (Military Academy, 2010-2015) Database models for logistics decision support (Military Academy, 2013-2015) He authored the textbook Information Systems for Decision Support (2013) and maintains a focus on practical, security-oriented solutions.
Eric Bodden is a Professor for Secure Software Engineering at Paderborn University and co-director of Fraunhofer IEM. He is also a member of the directorate of the Collaborative Research Center CROSSING at TU Darmstadt. As an ERC fellow, Bodden leads the Attract-Group on Secure Software Engineering at Fraunhofer IEM, where he develops code analysis technology for security in collaboration with leading national and international software development companies. Bodden is one of the leading experts in secure software engineering with a specialty in building highly precise tools for automated program analysis. His research spans static program analysis, Android security, taint analysis, and cryptographic API security. He has made significant contributions to the field through frameworks like FlowDroid for Android analysis, DroidBench benchmark suite, and as one of the chief maintainers of the Soot program analysis framework. His work bridges theoretical advances with practical applications, focusing on creating tools that can be effectively used by developers to enhance software security. His recent publications demonstrate a continued focus on advancing static analysis techniques, with increasing attention to modern challenges like C/C++ analysis, large language models in program analysis, and addressing security vulnerabilities in dependency management. His work shows a consistent trajectory of improving analysis precision, scalability, and usability for developers. Heinz Maier-Leibnitz-Preis (2014) ERC fellow BITKOM Management Club membership (2013) Bodden has advised numerous doctoral students whose theses cover diverse aspects of secure software engineering, including static analysis for Android applications, secure integration of cryptographic software, and information flow security engineering. His research group has received recognition through multiple dissertation awards including Summa cum laude distinctions and the Ernst Denert Software Engineering Award. The group has developed influential tools like FlowDroid, CogniCrypt, and SootUp that have shaped the field of secure software development. At Fraunhofer IEM, Bodden heads the Attract-Group on Secure Software Engineering, which collaborates with industry partners to develop practical security analysis solutions. His team has created several influential frameworks including FlowDroid for Android security analysis and the DroidBench benchmark suite. The group's work bridges academic research with real-world applications, focusing on making security analysis tools more precise, scalable, and usable for developers.
Professor Jerzy Brzeziński is a distinguished academic at Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With a career spanning several decades, he has established himself as a leading researcher in distributed systems and networking, maintaining active research productivity with publications as recent as 2022. Professor Brzeziński's research interests focus on distributed systems, peer-to-peer networks, service-oriented architecture, mobile ad hoc networks, and distributed shared memory systems. His work bridges theoretical foundations with practical applications, particularly in areas like gaming platforms, secure data exchange, and reliable communication protocols. Recent publications demonstrate continued innovation in sybil-proof data exchange mechanisms and broadcast protocols for mobile networks. Analysis of his publication trends reveals an evolution from foundational work on memory systems and consistency models in the early 2000s toward more applied research in peer-to-peer systems, gaming applications, and sustainable computing in recent years. His work consistently addresses core challenges in distributed computing while adapting to emerging technological contexts. Professor Brzeziński has supervised at least 10 doctoral students throughout his career, including Andrzej Stroiński, Michał Kalewski, and Łukasz Piątkowski. His mentorship has produced significant contributions to the field, with students researching topics like Petri Net models, reliable broadcast protocols, and server synchronization. His research is characterized by strong collaborative networks, frequently working with colleagues at Poznań University of Technology and former students. This collaborative approach has resulted in numerous high-impact publications in reputable journals and conference proceedings across the distributed systems domain.
Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.
Visa Vallivaara serves as Master of Science Research Team Leader at VTT Technical Research Centre of Finland, heading the BA6410 CryptoLab. His research directly contributes to cybersecurity advancements under UN Sustainable Development Goals, with expertise spanning post-quantum cryptography, quantum-safe systems, and blockchain security. Research Interests: Vallivaara's work centers on cryptographic resilience against quantum computing threats, specializing in lattice-based signature algorithms and hybrid quantum-classical optimization. His fingerprint analysis reveals dominant expertise in algorithms (100%), cryptography (96%), and quantum cryptography (54%), with significant contributions to blockchain (54%) and security protocols (55%). This positions him at the forefront of Finland's national quantum-safe transition efforts. Publication Trends: Recent outputs (2022-2025) demonstrate a clear trajectory from theoretical foundations to practical implementation. His work bridges NIST PQC standardization with developer adoption challenges, featuring combinatorial optimization frameworks and cryptographic metrics for real-world systems. The 2025 poster on hybrid quantum-classical algorithms represents the cutting edge of his current research direction. Scientific Awards: CyCon 2015 Student Award (2nd place) for cybersecurity research innovation Advising and Grants: Vallivaara has supervised 2 research projects and currently leads Business Finland-funded initiatives including BLimPQC (2025-2028) and Secur-e-Health (2023-2025). His grant portfolio reflects strategic focus on quantum-safe communication requirements and practical implementation frameworks, with active collaboration across Finnish research and industry sectors. Labs and Teams: As leader of BA6410 CryptoLab at VTT, Vallivaara directs Finland's specialized research unit for post-quantum cryptography. The lab produces both theoretical frameworks (e.g., cryptographic metrics) and applied tools (e.g., LOAP blockchain auditing system), maintaining strong connections to national cybersecurity infrastructure development through Business Finland partnerships.
Prof. Dr. Ronny Standtke is Co-group leader of the Digital Manufacturing Group at the Institute of Digital Construction & Wood Industries, Bern University of Applied Sciences in Biel, Switzerland. He holds a doctoral degree in Computer Science from the University of Freiburg and a Diplom-Informatiker from TU Dresden, with additional studies at TU Helsinki. His academic appointments include Professor for Digital Manufacturing at BFH (2021-2023) and lecturer positions at FHNW and PH FHNW. Research interests span digital manufacturing, computer science applications, and sustainable digitalization, with specialized focus on: Digital twins and BIM for construction industries CAD/CAM integration and process automation Data science applications in wood technology Open-source solutions for public sector IT infrastructure His publications demonstrate interdisciplinary contributions, evolving from early cybersecurity and anonymity research (2001-2008) toward educational technology innovations like the Lernstick platform (2011-2015), with recent work in public sector digitalization and civil engineering risk assessment (2023-2024). Awards include the IBM Open Education Award 2015 for developing the Lernstick learning environment. Current projects focus on: Secure remote assessment systems Open-source alternatives to proprietary software in government Business integration platforms for wood industry automation He leads bachelor thesis supervision in digital manufacturing optimization and has advised 10+ students on topics including: Production planning automation Shopfloor data analytics ERP system development
陳恭 is a Professor at the Department of Information Management, College of Business, National Chengchi University. With expertise spanning blockchain technology, information security, and software engineering, he has established himself as a leading academic in Taiwan's fintech research community. His work bridges theoretical computer science with practical business applications, particularly in digital finance and secure information systems. Dr. 陳恭 earned his PhD in Computer Science from Yale University (1989-1994), following Bachelor's and Master's degrees from National Taiwan University. His academic journey at National Chengchi University spans over two decades, progressing from Associate Professor to his current position as Professor, with significant administrative roles including Department Chair and Director of the Computer Center. Professor 陳恭's research primarily focuses on blockchain and smart contracts, Open API technology and security, social big data analysis, and programming languages. His work demonstrates a clear evolution from foundational programming language research to cutting-edge blockchain applications. He has made significant contributions to secure multi-party computation, aspect-oriented programming, and blockchain-based systems, with publications in top journals and conferences across computer science, public administration, and business innovation. An analysis of Professor 陳恭's recent publications (2016-2024) reveals a strong concentration on blockchain technology and its financial applications, particularly in smart contracts, consensus algorithms, and secure data dissemination. His research increasingly integrates with IoT systems and demonstrates practical applications in financial technology, showing a clear trajectory from theoretical foundations to real-world business solutions. His notable achievements include: Senior Excellent Teacher (20 years) from National Chengchi University Multiple Distinguished Professor appointments Special Outstanding Talent Award from the National Science Council Multiple Internationalization Excellent Research Awards Professor 陳恭 has secured numerous research grants from both governmental agencies like the Ministry of Science and Technology and private sector organizations including financial institutions and technology companies. His projects often focus on blockchain applications, fintech innovation, and information security, demonstrating strong industry-academia collaboration. He is actively involved in establishing National Chengchi University as a leading center for blockchain research in Taiwan, contributing to research centers focused on fintech innovation and digital transformation. His work has fostered significant collaborations between academia and industry in the rapidly evolving field of digital finance.
Zhiyuan Wan is an Associate Professor in the College of Computer Science and Technology at Zhejiang University, China. His academic career spans multiple prestigious institutions across North America and Asia, with a focus on advancing software engineering practices through empirical research and tool development. Dr. Wan's educational background includes: Ph.D. in Computer Science from Zhejiang University (2014) His postdoctoral journey featured positions at: University of British Columbia, Canada (2019-2020) Singapore Management University (2018) Zhejiang University (2016-2020) Lehigh University, United States (2014-2015) Dr. Wan's research program centers on empirical software engineering with particular expertise in blockchain technologies and software security. His work bridges theoretical insights with practical tool development, focusing on: Smart contract security and vulnerabilities in cryptocurrency ecosystems Code search and recommendation systems for developer productivity Empirical studies of developer practices and challenges Impact of machine learning on software development workflows His approach combines rigorous empirical methods with practical tool building to address real-world challenges faced by software practitioners. Analysis of Dr. Wan's recent publications reveals a strategic evolution toward blockchain security research, beginning around 2020 with studies on smart contract security and expanding to cover NFT ecosystems, Solana blockchain transactions, and cross-chain vulnerabilities. His work consistently applies empirical methods to uncover practical insights while developing tools that directly address identified challenges in software development. Dr. Wan actively contributes to the software engineering community through service on program committees for major conferences including ASE, ICSE, ESEC/FSE, and ISSTA. His academic leadership extends to mentoring relationships with students and collaborators across international institutions, though specific advisees are not documented in the provided materials.
