جستجوی استاد راهنمای دانشگاهی

• Optical Communications
• Optoelectronic Circuits
• Optical Switching
• +۷ مورد دیگر

Amalia Miliou is a Professor in the Department of Informatics at Aristotle University of Thessaloniki, where she has served since 1993, progressing through the academic ranks from Lecturer to her current position as Professor since 2022. She holds a PhD in Electrical and Computer Engineering from the University of Florida (1991) with specialization in Optoelectronics, following an MSc in the same field (1988) and a Physics degree from Aristotle University (1985). Her research focuses on optical communications systems, with specific expertise in optoelectronic circuits simulation, optical switching, optical RAM development, converged fiber-wireless technology, 5G networks, and secure optical communications using chaos theory. Over her career, she has supervised numerous graduate students across these research areas, with thesis topics spanning optical memory systems, fiber-wireless integration, chaos-based secure communications, and advanced optical network architectures. Her recent publications (2021-2024) demonstrate a strong focus on next-generation optical networking solutions for 5G/6G applications, including fiber-wireless convergence, optical memory systems for high-speed networks, and innovative approaches to optical signal processing. Her work bridges fundamental photonics research with practical telecommunications applications, particularly in addressing the bandwidth and latency challenges of modern mobile networks. Professor Miliou has served as the Coordinator of the LLP-ERASMUS student exchange program at the Department of Informatics since 1997 and has held various administrative positions including membership in the University Senate and General Assembly. She has led and participated in numerous research projects, most recently focusing on technological improvements for 5G systems through optical-wireless network development (2019-2021), next-generation healthcare applications leveraging 6G networks (2023-2027), and photonic integrated circuits for random access memory (2012-2015).

• Informatics Law
• Cyber Law
• Data Protection
• +۹ مورد دیگر

Ioannis Iglezakis is an Associate Professor at the School of Law, Aristotle University of Thessaloniki (AUTH), specializing in the intersection of law and technology. His academic career spans over three decades with continuous contributions to informatics law, cyber law, data protection, and privacy law. At AUTH, he teaches courses including Law of Informatics, Computers and Law I (Cyberlaw I), Computers and Law II (Privacy and Security in the Information Society), Legal Aspects of Cybercrime, Internet-Law, and Law and Information Technology. Dr. Iglezakis earned his undergraduate degree in Law from AUTH in 1987, followed by a Magister Legum Europae from Hannover University in 1993. He completed his postgraduate studies in History, Philosophy and Sociology of Law at AUTH in 1990 and earned his PhD in Law from AUTH in 1999. His educational background combines Greek legal training with European legal perspectives. His research interests focus on the legal challenges posed by digital technologies, with particular emphasis on data protection, privacy law, cybercrime regulation, digital rights, and the application of GDPR in various contexts. He has published extensively on topics including the right to be forgotten, digital identity management, workplace surveillance in the digital age, hate speech online, and the legal implications of emerging technologies like blockchain and artificial intelligence. His work bridges theoretical legal analysis with practical applications in the rapidly evolving digital landscape. The trends in his publications reveal a consistent focus on the evolving relationship between law and technology, with increasing attention to GDPR implementation, health data protection, and the challenges of algorithmic decision-making. His work spans multiple disciplines including legal theory, privacy studies, cyber security, and digital governance, reflecting the interdisciplinary nature of modern informatics law. Dr. Iglezakis has supervised over 50 master's theses at AUTH, mentoring the next generation of legal scholars in areas including cloud computing contracts, personal data protection, social media law, intellectual property in digital environments, and cybercrime. His administrative roles have included membership on the European Educational Programs Committee (2011-2012) and the Legal Committee of AUTH (2013-2014). His research projects include the 2018-2019 study on 'Legal Issues of Mobile Applications Development, Distribution and Use,' the 2014 '6th International Conference on Informatics Law,' and the 2013-2015 Center of Excellence for Cybercrime for Education, Research and Training in Greece. These projects highlight his commitment to addressing practical legal challenges in the digital domain while contributing to academic discourse.

Nikos Giatrakosمشاهده پروفایل

استادیار

• Big Data Management
• Internet of Things (IoT)
• Distributed Systems
• +۳ مورد دیگر

Nikos Giatrakos is an Assistant Professor at the School of Electronic & Computer Engineering, Technical University of Crete, and a core member of the Software Technology and Network Applications Lab (SoftNet) . His work bridges Big Data systems, IoT, and advanced analytics, with a focus on real-time processing and scalable architectures. Previously, he served as a postdoctoral researcher at the same laboratory. Education PhD in Computer Science, University of Piraeus (2012) Postgraduate Diploma in Information Systems, Athens University of Economics and Business (2008) BSc in Computer Science, University of Piraeus (2006) Research Focus : Nikos specializes in software architectures for Big Data streaming, including Distributed Big Data Processing , Federated Machine Learning , Cloud-to-Edge Data Management , and Approximate Query Processing . His work has also advanced Complex Event Processing and Outlier Detection in decentralized environments. Scientific Contributions : His research has led to the DAG* workflow optimizer for IoT, the SuBiTO framework for real-time neural learning, and the INFORE approach for cross-platform analytics. He received the Best System Demonstration Award at ACM CIKM 2020 for INforE. Academic Leadership : Nikos teaches Object-Oriented Programming, Data Science, and Distributed Systems. He has supervised numerous European and national grants as Principal Investigator and served on program committees for top-tier conferences like SIGMOD, VLDB, and DEBS.

Christos Xenakisمشاهده پروفایل

استاد

• Systems Security
• Network Security
• Mobile and Wireless Communications Security
• +۶ مورد دیگر

Prof. Christos Xenakis is a Professor at the Department of Digital Systems of the University of Piraeus, where he has been a faculty member since 2007. He is also the director of the Postgraduate Degree Programme on "Digital Systems Security" and a member of the Systems Security Laboratory at the University of Piraeus. Prof. Xenakis received his B.Sc. in Computer Science in 1993, M.Sc. in Telecommunication and Computer Networks in 1996, and Ph.D. in 2004, all from the Department of Informatics and Telecommunications at the University of Athens. His research interests focus on systems, networks and application security . He has participated in numerous European (ACTS, ESPRIT, IST, AAL, DGHOME, Marie Curie, Horizon2020) and National research programs, coordinating several Horizon2020 projects including CUREX, SealedGRID, INCOGNITO and SECONDO. He has also served as Principal Investigator for Horizon Europe projects like ENTRUST and ERATOSTHENES. Prof. Xenakis has authored over 90 publications in peer-reviewed journals and international conferences, focusing on cybersecurity topics such as blockchain security, smart contracts, self-sovereign identity, adversarial machine learning, smart grid security, cyber insurance, phishing detection, wireless security, and authentication protocols. He has served on editorial boards of several scientific journals including Computers & Security , Computer Communications , and IET Information Security . He is also a member of the steering committee of the European Cyber Security Challenge and leader of the Hellenic Cyber Security Team.

Steve Blackburnمشاهده پروفایل

استاد

• Memory Management
• Garbage Collection
• Virtual Machine Design and Implementation
• +۷ مورد دیگر

Steve Blackburn is a research scientist at Google DeepMind and professor of computer science at the Australian National University in the College of Engineering and Computer Science. His primary research focus is on programming language implementation, with expertise spanning memory management, virtual machines, and performance analysis. He has served in significant leadership roles including Associate Dean for Diversity and Inclusion (2016-2019) and as Program Chair for PLDI 2015 and General Chair for PLDI 2023. Blackburn's research interests center on making software run faster and more power-efficiently on modern hardware. His primary areas include microarchitectural support for managed languages, fast and efficient garbage collection, and the design and implementation of virtual machines. He maintains a strong interest in sound methodology and infrastructure for successful research innovation. His work bridges theoretical computer science with practical systems implementation, with particular focus on memory management frameworks and performance benchmarking. His publication record reveals a consistent focus on memory management systems, with recent work exploring garbage collection in modern contexts including CRuby, Julia, mobile devices, and memory-disaggregated datacenters. His research shows an evolution from foundational garbage collection algorithms toward practical implementations addressing real-world constraints in contemporary programming languages and hardware platforms. A notable trend is his increasing focus on quantifying and understanding the true costs of garbage collection in production environments. Fellow of the ACM Blackburn has supervised numerous doctoral students including Zhen He, John Zigman, Robin Garner, Ting Cao, and currently advises Wenyu Zhao, Zixian Cai, and others. He has also served on multiple program committees for major conferences including PLDI, ASPLOS, ISMM, and OOPSLA, demonstrating his significant contributions to the programming languages and systems research community. His service includes editorial roles for ACM Transactions on Programming Language Applications and Systems from 2017-2020. He leads two major research infrastructure projects: the MMTk memory management framework and the DaCapo benchmark suite, both of which have become foundational tools for researchers in programming languages and systems. These projects reflect his commitment to shared research infrastructure and reproducible methodology in systems research.

Andy D. Pimentelمشاهده پروفایل

استاد

• Multi-core embedded systems
• System-level design, modeling and simulation
• Design space exploration
• +۷ مورد دیگر

Andy D. Pimentel is a Full Professor at the University of Amsterdam, where he chairs the Parallel Computing Systems (PCS) group within the Systems and Networking Lab at the Informatics Institute. His work focuses on the design, programming, and run-time management of multi-core and multi-processor computer systems, with particular attention to performance, power/energy consumption, system dependability, and design productivity. His academic background includes: PhD in Computer Science, 1998, University of Amsterdam MSc in Computer Science, 1993, University of Amsterdam Professor Pimentel's research spans multiple critical areas in modern computing systems. His primary interests include multi-core embedded systems, system-level design and simulation, design space exploration, performance and power analysis, system dependability, hardware/software co-design, run-time resource management, and Edge AI. His work addresses the growing challenges of making computer systems faster, more sustainable, energy efficient, reliable, and secure in an era of increasing computational demands and climate concerns. The PCS group he leads performs research on the modeling, analysis and optimization of extra-functional aspects of computing systems, which play a pivotal role in their work. An analysis of Professor Pimentel's recent publications reveals a strong focus on edge computing, distributed AI, and energy-efficient system design. His work bridges theoretical computer architecture with practical implementation challenges, particularly in the context of resource-constrained environments. Key trends include the adaptation of AI models for edge devices, thermal management in advanced architectures, and optimization of multi-core systems for both performance and energy efficiency. His research increasingly addresses sustainability concerns in computing, reflecting broader industry and academic priorities. His notable scientific achievements include: IEEE CEDA Outstanding Service Recognition Award DATE Fellow Award Professor Pimentel has served in numerous leadership roles in the academic community, including as General Chair of Design Automation and Test in Europe (DATE) 2024, Vice General Chair of IEEE/ACM Embedded Systems Week 2025, and General Chair of IEEE/ACM Embedded Systems Week 2026. He has secured significant research funding for projects related to sustainable computing, edge AI, and multi-core system design. His professional service includes board membership with the ICT Research Platform Nederland (IPN) since 2020 and leadership roles in major conferences such as DATE, Embedded Systems Week, and SAMOS. The Parallel Computing Systems group he chairs is a vibrant research team within the Systems and Networking Lab at the Informatics Institute. The PCS group focuses on the challenges of modern computing systems, particularly addressing the extra-functional aspects like performance, power consumption, and system dependability. Their work is highly relevant to current technological challenges in edge computing, sustainable systems design, and the integration of AI into resource-constrained environments.

Siris Vasiliosمشاهده پروفایل

استاد

• Resource Management in Networks
• Distributed Ledger Technologies (DLTs)
• Blockchains and IoT Security
• +۳ مورد دیگر

Professor Siris Vasilios holds the position of full Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). Previously, he served as Assistant and Associate Professor at AUEB (2009–2020) and the University of Crete (2002–2009). His expertise spans resource management in networks, blockchain-based IoT security, and future communication systems. He has published over 150 papers in top venues like IEEE INFOCOM and ACM Mobicom, and holds three patents in wireless resource management. Education: Diploma in Physics (1990), National and Kapodistrian University of Athens M.S. in Computer Science (1992), Northeastern University, Boston, USA Ph.D. in Computer Science (1998), University of Crete Research Interests: His work focuses on trusted communication in IoT , leveraging blockchain technologies for secure systems. Key areas include distributed ledger applications, energy-efficient network protocols, and satellite-terrestrial integration. He emphasizes combining theoretical methods with practical system implementations. Awards & Recognition: He has coordinated EU-funded projects (e.g., SOFIE) and served as Technical Program Chair for IEEE WoWMoM 2018 and IQ2S 2015. His research has been recognized through grants from Greek governmental and industry partners. Grants & Projects: Principal Investigator for multiple EU research projects Lead on Greek national and industry-funded initiatives Contributed to the SOFIE project addressing IoT security via interledger technologies Labs & Teams: Active in the Department of Informatics' research groups, focusing on experimental systems like Dedalus for wireless maritime networking and blockchain-based IoT prototypes.

Vlachos Kostasمشاهده پروفایل

استادیار

• Robotics
• Control of Robotic Mechanisms
• Microrobotics
• +۷ مورد دیگر

Kostas Vlachos is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He has been in this position since 2014, following prior teaching roles at the University of Thessaly (2007–2013). He is a member of the Information Processing and Analysis (I.P.AN.) research group and actively supervises PhD, MSc, and diploma students in robotics and control systems. PhD, School of Mechanical Engineering, National Technical University of Athens, 2004 MSc, Interdepartmental Postgraduate Program in Automation Systems, National Technical University of Athens, 2000 Diploma in Electrical Engineering, Technical University of Dresden, Germany, 1993 His research focuses on robotics and control, with emphasis on microrobotics , haptic mechanisms , medical simulators , and autonomous navigation . He has made significant contributions to over-actuated marine platforms, reinforcement learning for navigation, and tactile robotic systems. His work bridges mechanical engineering and computer science, particularly in intelligent robotic control. The 15 most recent publications highlight a strong trend in autonomous marine robotics , multi-agent reinforcement learning , and intelligent control systems . Key themes include energy-efficient control, obstacle avoidance, sensor fusion, and learning-based navigation. The research spans from theoretical control design to real-world implementation in unmanned surface vehicles and microrobots. Best Student Paper Award, 9th Hellenic Conference on AI (SETN 2016) Vlachos has supervised over 30 students at various levels and has participated in multiple national and European research projects in robotics and automatic control. His teaching includes courses such as Computational Mathematics, Robotics, and Robotic Systems. He collaborates extensively with researchers like E. Papadopoulos and K. Blekas. He leads research within the Information Processing and Analysis (I.P.AN.) group, focusing on intelligent perception and control of robotic systems. His lab works on mobile manipulators, haptic devices, mini-robots, and marine platforms, integrating simulation (ROS/Gazebo) with real-world experimentation.

Spyridon Pergantisمشاهده پروفایل

استاد

• Analytical Chemistry
• Environmental Chemistry
• Mass Spectrometry
• +۵ مورد دیگر

Professor Spyridon Pergantis is a distinguished faculty member in the Department of Chemistry at the University of Crete, where he has served since 2003, advancing from Assistant Professor to Associate Professor in 2008, and ultimately achieving Full Professor status in 2014. His academic journey began with a BSc in Chemistry from the University of Ioannina in 1988, followed by a PhD from the University of British Columbia in 1994. Prior to his current position, he held research positions at the U.S. Environmental Protection Agency, Utrecht University, and Birkbeck College, University of London. Professor Pergantis specializes in advanced analytical chemistry techniques, with research focusing on metal speciation analysis (particularly arsenic, selenium, and antimony), novel metal species identification, metal-biomolecule interactions, nanoparticle determination using single particle ICP-MS, and advances in sonic-spray ionization mass spectrometry. His work integrates various separation techniques including HPLC, nanoHPLC, ion mobility spectrometry, and affinity chromatography coupled with multiple mass spectrometry methods. His laboratory at the University of Crete (Room A228) maintains an active research program addressing critical environmental and biological analytical challenges. His publication record demonstrates consistent research productivity with significant contributions to environmental analytical chemistry, particularly in nanoparticle analysis and metal speciation. Recent work shows expansion into cardiovascular health research through selenium biomarker studies and innovative approaches to undergraduate chemistry education. Professor Pergantis leads a research group focused on developing cutting-edge analytical methodologies with applications spanning environmental monitoring, food safety, and biomedical research.

Wei Yangمشاهده پروفایل

دانشیار

• Software Testing
• Mobile Security
• Machine Learning for Software Engineering
• +۳ مورد دیگر

Wei Yang is an Associate Professor in the Department of Computer Science at the University of Texas at Dallas, actively contributing to software engineering research through program committee roles at ICSE, FSE, ASE, and ISSTA conferences since 2015. His research focuses on software testing innovation , particularly in mobile security, GUI testing, and AI-driven test automation. Key contributions include frameworks for malware analysis (MalScan), UI exploration (Guardian, Vet), and neural network testing (DeepPerform, EREBA), addressing critical challenges in test oracle generation, flaky tests, and resource-constrained environments. Recent work demonstrates a strategic shift toward LLM and foundation model applications for testing, with 2023-2026 publications exploring vision-language models for GUI testing, parameter ownership in collaborative AI development, and instruction alignment in large language models. This evolution reflects the field's broader trajectory toward AI-integrated quality assurance.

• Internet of Things (IoT)
• Edge Computing
• eHealth Systems
• +۷ مورد دیگر

Dr. Menychtas Andreas is an Assistant Professor at the Department of Digital Systems, School of Informatics and Communications, University of Piraeus. He holds a PhD from the National Technical University of Athens (2009), specializing in service-oriented architectures. His teaching focuses on distributed computing, programming, and information systems development across multiple institutions including the University of Piraeus and Hellenic Open University. Research interests center on modern computing infrastructures, software development, and IoT applications, with particular emphasis on Edge Computing, smart cities, telemedicine, and machine learning. He has led over 20 European and national projects, publishing >100 articles with 1,900+ citations. Key areas include AR healthcare solutions, bias mitigation in AI, and secure medical IoT systems. Notable contributions include the MedSecurance project (medical IoT security), CrowdHEALTH platform (big data-driven public health policies), and AGILE framework (open-source edge computing). His work bridges theoretical research with practical implementations in wearable tech, telemedicine systems, and urban smart infrastructure. Grants and collaborations highlight extensive industry partnerships, with current focus on digital twins for healthcare robotics (AI4Work), AI-driven pandemic monitoring, and gamification in healthcare platforms. His lab develops innovative solutions at the intersection of AR, edge computing, and healthcare informatics.

• Internet of Things
• Edge Computing
• Distributed Systems
• +۷ مورد دیگر

Andreas Menykhtas serves as an Assistant Professor at the Department of Digital Systems within the School of Information and Communication Technologies at the University of Piraeus. His academic journey began at the National Technical University of Athens where he completed his undergraduate studies in Electrical and Computer Engineering in 2004, followed by postgraduate and doctoral studies at the same institution, earning his PhD in Engineering in 2009 with a specialization in service-oriented infrastructure. His research spans the evolving landscape of modern information systems infrastructure, with particular emphasis on Internet of Things, Edge Computing, distributed systems, and cloud computing environments. Dr. Menykhtas has developed expertise in software development, artificial intelligence, machine learning applications, smart cities infrastructure, and e-health systems. His scholarly contributions include over 100 publications in scientific journals, international conferences, and book chapters that have collectively garnered more than 1,900 citations. His publication record reveals a strong trajectory in distributed computing architectures, with recent work focusing on the integration of AI techniques at the network edge, optimization of resource allocation in multi-tenant environments, and development of service-oriented frameworks for smart city applications. The interdisciplinary nature of his research bridges computer science, engineering, and practical applications in urban and healthcare contexts. Dr. Menykhtas has extensive teaching experience across multiple Greek institutions, having delivered undergraduate and graduate courses on distributed computing, programming, and information systems development at the University of West Attica, the Hellenic Open University, and the University of Piraeus. His research activities include participation as scientific manager, researcher, and engineer in numerous European and national research projects.

• Embedded Systems
• Cyber-physical Systems
• Hardware-Software Co-design
• +۴ مورد دیگر

Prof. Nikolaos Voros is a Professor at the Department of Computer and Electrical Engineering, University of the Peloponnese. He holds a PhD (2001) and Diploma (1996) in Computer and Informatics Engineering from the University of Patras. He leads the Embedded Systems Laboratory , an official Digital Innovation Hub of the European Commission. His research focuses on embedded/cyber-physical systems, including specification techniques, hardware-software co-design, formal refinement, and IoT platforms. He has coordinated over 30 EU-funded projects, including Horizon 2020 initiatives like ARGO and RADIO. He serves as an associate editor for journals like IEEE Transactions on Nanotechnology and has authored multiple books on system-level design and reconfigurable systems. He directs the Master's program 'Smart ICT Services & Infrastructures' and organizes international conferences like ISVLSI and ARC. Education: Diploma in Computer and Informatics Engineering (1996), University of Patras PhD in Computer and Informatics Engineering (2001), University of Patras Research Interests: Embedded systems, cyber-physical systems, hardware-software co-design, formal methods, IoT, and AI-driven assistive technologies. His work emphasizes safety-critical systems, real-time applications, and EU-funded innovations. Grants & Projects: Scientific coordinator of Horizon 2020 projects ARGO and RADIO. Managed FP7 projects ALMA and ARMOR. Over 30 EU-funded initiatives in embedded systems and cyber-physical systems. Labs & Teams: Leads the Embedded Systems and Applications Design Laboratory , a European Commission-recognized hub for innovation in embedded systems and IoT platforms.

Konstantinos Limniotisمشاهده پروفایل

مدرس

• Cryptography
• Boolean Functions
• Network Security
• +۵ مورد دیگر

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.