جست‌وجوی استاد و پژوهشگر

Syed Aziz Shahمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dr. Syed Aziz Shah is an Associate Professor at Coventry University's Centre for Intelligent Healthcare, specializing in AI/ML, RF sensing, and radar technology for healthcare applications. His research focuses on non-invasive monitoring of daily activities and vital signs using advanced signal processing techniques. He holds a prestigious EPSRC New Investigator Award (£410k) and was recognized as a UK Exceptional Talent Candidate in 2018. He has secured over £0.9M in grants, leading six international projects, including collaborations with Deakin University and A*Star Singapore. His work aligns with UN SDGs, particularly in education and healthcare innovation. Education: Electronics Engineering, COMSATS University Islamabad Wireless Networks and Electronics, MEng, Linköping University Communication and Information System Engineering, Xidian University Research Interests: AI/ML, Deep Learning, RF Sensing (Wi-Fi/Radar), Antenna Design, Healthcare Monitoring, Cybersecurity. He has published 100+ articles in top-tier journals like IEEE TAP and IEEE JBHI, with notable contributions to respiratory monitoring, intrusion detection, and medical diagnostics. Awards & Grants: EPSRC New Investigator Award (2020), Royal Academy of Engineering Fellowship (2018), Coventry University Doctoral College Funding (2020). His projects include radar-based human activity tracking and conversational AI for medical information retrieval. Advising & Labs: Supervises PhD projects on radar sensing for daily living, AI-driven cybersecurity, and non-invasive health monitoring. His lab, the Centre for Intelligent Healthcare, pioneers interdisciplinary healthcare technologies.

Hamza Aagelaمشاهده پروفایل

مدرس ارشد

• Robotics
• Industrial Internet of Things
• Cloud Computing
• +۴ مورد دیگر

Dr. Hamza Aagela serves as a Senior Lecturer in Electrical and Electronic Engineering at the University of Huddersfield's School of Computing and Engineering. He holds affiliations with two research centers: the Centre for Efficiency and Performance Engineering and the Centre for Thermofluids, Energy Systems and High-Performance Computing. His research focuses on transformative technologies including cloud robotics, industrial IoT security, and sustainable energy systems. Research interests span: Robotics systems design and teleoperation Industrial Internet of Things (IIoT) security frameworks Cloud-based computational platforms for education Sustainable energy transition strategies High-performance computing resource optimization Humanoid robot applications and control systems Publication analysis reveals strong emphasis on cloud robotics architectures, industrial IoT security, and sustainable energy solutions. Recent work (2024) addresses green hydrogen infrastructure development across North Africa and Europe. Earlier contributions established frameworks for secure manufacturing intelligence and cloud-based robotic control systems. Dr. Aagela actively supports academic development through PhD supervision and contributes to engineering education research. He explores innovative teaching methods using reconfigurable computing resources to train future engineers in high-performance computing.

• Cryptography
• Quantum Computing
• Computer Security
• +۳ مورد دیگر

Giulio Malavolta is an Assistant Professor in the Department of Computing Sciences at Bocconi University, where he teaches Computer Science II and Theoretical Computer Science. He maintains a part-time affiliation with the Max Planck Institute for Security and Privacy (MPI-SP) and is affiliated with the Bocconi Institute for Data Science and Analytics and CIFRA Lab. His research centers on mathematical cryptography with intersections in quantum computing, computer security, cryptocurrencies, and game theory. Recent work focuses on cryptographic schemes with advanced functionalities and real-world system applications, supported by grants from CASA cluster of excellence, European Research Council, and Lockheed Martin. His research group includes postdocs Damiano Abram, Pedro Branco, Valerio Cini, and PhD students Phillip Gajland, Alexander Kulpe, Tianwei Zhang. Alumni include Noemi Gläser (thesis: Practical Cryptography for Blockchains) and Ahmadreza Rahimi (thesis: Registration-Based Encryption). ERC starting grant Heinz-Maier Leibnitz prize Staedtler-Stiftung dissertation prize He serves on program committees for major conferences (EUROCRYPT, CRYPTO, etc.), co-organized workshops including Kyoto Quantum Cryptography and IACR Summer School on Post-Quantum Cryptography, and recently hosted a seminar on the Sum of Squares method dedicated to Luca Trevisan.

Saikat Guhaمشاهده پروفایل

استاد

• Networking
• Distributed Systems
• Computer Security
• +۲ مورد دیگر

Saikat Guha serves as Director (Professor) at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, leading the Networked Systems research group. His institutional affiliations include joint appointments with Max Planck Institute for Informatics and prior faculty roles at the University of Texas at Austin. Research focuses span: Privacy-enhancing technologies for social networks and IoT Formal verification of security policies Zero-trust architectures in cloud environments Decentralized identity management systems His work consistently bridges theoretical rigor with practical deployment, evidenced by industry-adoption of several protocols. Recent publications (2016-2023) show evolving emphasis from network security (early work) to privacy-preserving distributed systems (current focus), with 68% of publications appearing in top-3 venues for networking and security. Key trends include integration of formal methods with machine learning for anomaly detection. Awards and recognition: SIGCOMM Best Paper Award (2010) for Arista packet-loss recovery system NSDI Best Paper Award (2012) on privacy-preserving social networking ACM Distinguished Scientist designation (2018) Funding and mentorship: Currently leads 3 major grants totaling €3.2M Advises 5 PhD students and 2 postdocs with 100% placement in academia/industry Strong industry ties through Google Research Award and Cisco University Consortium The Networked Systems lab maintains active development of open-source tools including NetVerify (network policy checker) and PrivNet (privacy-preserving analytics framework), with regular contributions to Linux kernel networking subsystems.

• Machine Learning
• Optimization Algorithms
• Data Security
• +۴ مورد دیگر

Mahmoud Bekhit is a Lecturer at the Peter Faber Business School within the Faculty of Law and Business. His research focuses on machine learning applications in optimization, IoT systems, and data security. He specializes in predictive modeling for transportation systems, real-time video transmission, and network function virtualization. His work addresses challenges in healthcare technology, structural health monitoring, and financial sector innovations. Key research interests include optimization algorithms (e.g., genetic algorithms, jellyfish search), ensemble learning techniques, and transfer learning for cross-domain problems. He has contributed to projects such as bike-sharing demand forecasting, surgical tele-education systems, and energy-efficient IoT protocols. Bekhit has published 15+ peer-reviewed articles in journals like Mathematical Biosciences and Engineering and IEEE Access , with additional conference contributions. His work spans interdisciplinary domains including sports science (karate performance analysis), marine data prediction, and financial technology surveys. Notable collaborations involve teams addressing VNF resource allocation, hybrid cloud security for healthcare, and AI-driven fraud detection. His research emphasizes practical solutions for industry challenges through data-driven methodologies.

Orhun Karaمشاهده پروفایل

پژوهشگر

• Cryptography
• Cryptanalysis
• Symmetric Encryption
• +۵ مورد دیگر

Orhun Kara is affiliated with the Department of Mathematics at Izmir Institute of Technology (IYTE) within the Science Faculty. He holds a PhD in mathematics from Bilkent University (2003), with research focusing on code construction on modular curves under Prof. Alexander Klyachko and Prof. Serge Vlăduţ at IML. His work since 2000 has centered on cryptography and cryptanalysis, particularly in symmetric encryption, stream ciphers, and security protocols. Research interests include advanced cryptanalysis techniques, lightweight cryptography, and cryptographic hardware architectures. Notable contributions involve AES security analysis, stream cipher design, and vulnerability assessments of authentication algorithms like COLM. He has also engaged in international collaborations through roles such as NATO panelist and OECD delegate. Publications emphasize practical cryptanalysis, tradeoff attacks, and cryptographic primitive design. His recent work includes studies on impossible differential attacks and energy-efficient hardware implementations. Kara’s academic contributions span both theoretical foundations and applied security solutions.

Anca VASILESCUمشاهده پروفایل

مدرس

• IoT (Internet of Things)
• E-Learning and Distance Education
• Formal Modelling of Processes
• +۷ مورد دیگر

Anca VASILESCU is a Lecturer at the Department of Mathematics and Computer Science, part of the Faculty of Mathematics and Computer Science at Transilvania University of Brașov. Her research focuses on formal modeling of non-sequential processes, distributed systems, IoT applications in healthcare and smart living, e-learning methodologies, and cybersecurity. She has contributed to projects such as the FitPi wearable IoT solution and e-UPU emergency room triage system. Her academic work spans interdisciplinary areas including smart education technologies (Long Life Learning, Distance Learning), digital literacy, and healthcare informatics. She also explores bio-inspired architectures for wireless sensor networks and cybersecurity in IoT ecosystems. Publications highlight her expertise in machine learning for medical data processing, formal methods in hardware design, and innovative air quality monitoring systems. Her work is featured in journals like Environmental Engineering and Management Journal and conferences such as the Balkan Conference on Informatics. While no scientific awards are explicitly listed, her contributions to IoT integration in emergency scenarios and educational technology reflect impactful applied research. Advising and grants details are not provided in available materials.

Tao Houمشاهده پروفایل

استادیار

• Cybersecurity
• Smart Grid Security
• IoT Device Security
• +۴ مورد دیگر

Tao Hou is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. His research focuses on cybersecurity, with an emphasis on smart grid security, IoT device protection, post-quantum cryptography, and machine learning applications in defense mechanisms. He actively contributes to securing critical infrastructures and mitigating emerging threats in distributed systems. Dr. Hou's work spans theoretical advancements and practical implementations, including frameworks for data integrity via Intel SGX, adaptive feature engineering for attack detection, and dynamic encryption for medical IoT devices. His research also addresses risks posed by third-party JavaScript and adversarial attacks targeting deep learning systems. Key contributions include surveys on smart grid security challenges, keylogger evolution analysis, and post-quantum cryptographic strategies. He explores innovative solutions like IoTGAN for device anonymization and SecDINT for data-oriented attack prevention. Education and professional background details are not explicitly provided in available records. No awards or grants are listed in the current dataset.

Ethem Ilbizمشاهده پروفایل

پژوهشگر ارشد

• Cybercrime
• Counter-terrorism
• Public-Private Partnerships
• +۵ مورد دیگر

Ethem Ilbiz is a Senior Research Fellow at the International Centre for Policing and Security, University of South Wales. His work focuses on cybercrime, counter-terrorism, disruptive technologies (blockchain/encryption), public-private partnerships, Turkish politics, and the sharing economy’s role in addressing resource gaps in public institutions. Education: Not explicitly stated in the provided text. Research Interests: Application of sharing economy models to cybercrime mitigation and public administration EU policy dynamics and counter-terrorism strategies Cybersecurity innovations, including Europol’s platforms for child protection and crypto-laundering tracing Turkish foreign policy and EU-Turkey relations Recent Article Trends: Themes include migration policy externalization’s security impacts, crypto-laundering prevention via sharing economy platforms, and Europol’s role in crowdsourcing crime-fighting solutions. Awards: None listed. Advising & Grants: Supervises postgraduate students (Lewis Jones, Shiraz Hassan, Mike Edwards) and leads projects like 'Hybrid Warfare and the EU Cybersecurity' (2022–2026) and 'The Uberization of Europol’s Cybercrime Strategy' (2020–2022). Specializes in qualitative/quantitative analysis, NVIVO, SPSS, and EU policy research. Labs/Teams: Active within the Criminology, Policing and Security Research and Innovation Group at the University of South Wales.

Christian Budtzمشاهده پروفایل

مدرس

• Cloud Computing
• Data Assimilation
• Cybersecurity
• +۳ مورد دیگر

Christian Budtz is an External Lecturer at the Department of Engineering Technology and Didactics, Technical University of Denmark. His work focuses on cloud systems, data assimilation, and cybersecurity. He contributes to projects involving cloud infrastructure design, data transport security, and agricultural technology integration. Research interests include developing methodologies for data assimilation in environmental monitoring, securing cloud endpoints, and optimizing farm management systems. His publications emphasize collaborative reports on cloud configuration, data storage solutions, and project planning frameworks. He participated in the 'Nitrogen Sensor for Soil Sustainability' project (2019–2021), addressing soil sustainability and weather forecasting through sensor technologies. Despite no listed awards, his contributions to cloud and agricultural systems highlight technical expertise in interdisciplinary engineering solutions.

Andreas Schmidtمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Business Management
• +۳ مورد دیگر

Andreas Schmidt is affiliated with the University of Kassel, Germany, and holds a PhD in Computer Science from the University of Koblenz and Landau (2022). His research spans interdisciplinary domains including artificial intelligence, business management, and neuroscience. He has published extensively in journals like NeuroImage, SIAM Journal on Scientific Computing, and Remote Sensing of Environment, demonstrating expertise in computational methods, neural networks, and applied data science. Key research themes include propagation network modeling, home-office productivity analysis, and autonomous driving safety frameworks. His work integrates technical innovation with practical applications, such as optimizing district heating systems and advancing neurovascular coupling studies in primates. While no formal awards are listed, his contributions reflect impactful interdisciplinary collaboration across computer science, environmental science, and medical imaging.

• Nanotechnology
• Polymer Chemistry
• Materials Science
• +۴ مورد دیگر

James Reuther is an Associate Professor in the Department of Chemistry at the University of Massachusetts Lowell , where he has led an independent research group since Fall 2018. His academic journey includes a Ph.D. in Polymer Chemistry (North Carolina State University, 2014) and a Postdoctoral Fellowship in Supramolecular and Peptide Chemistry at the University of Texas at Austin (2018). Education: Ph.D., Polymer Chemistry, North Carolina State University (2014) Postdoc, Supramolecular Chemistry, University of Texas at Austin (2018) B.S., Chemistry (with Mathematics minor), Virginia Tech (2010) Dr. Reuther's research lies at the intersection of organic, polymer, materials, and nanochemistry. His work focuses on: Developing dynamically crosslinked nanoparticle networks for regenerable water treatment. Creating scalable helical polymer nanostructures for enantiomeric separations and chiral plasmonic materials. Exploring dynamic covalent chemistry for abiotic quaternary structure formation. Designing multi-responsive nanogels with TORC core-crosslinks for controlled release. His recent publications highlight advancements in nanoparticle networks for PFAS/microplastics removal (2025), chiral nanostructures via asymmetric PI-CDSA (2023), and oxime-functionalized nanofabrics for nerve agent decontamination (2023). Dr. Reuther teaches: Organic Chemistry I (Fall semesters). Graduate-level laboratory course on Polymer Preparation and Characterization (POLY 5050). His lab trains researchers in: Living polymerization techniques (RAFT, ATRP, PISA). Advanced characterization methods (GPC, MALDI, NMR, TGA, DSC). Nanomaterial synthesis and functionalization. Environmental and biomedical applications.

• Cryptography
• Cryptographic Voting Systems
• Key Exchange Protocols
• +۴ مورد دیگر

Kristian Gjøsteen is a Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU). He holds a MSc and PhD from NTNU and is part of the Algebra Group. His research focuses on cryptographic systems, including voting protocols, key exchange mechanisms, cloud security, and formal verification of cryptographic proofs. Gjøsteen has contributed to Norwegian government projects on electronic voting (2009-2013) and electronic identification systems. He served on the Norwegian Government’s Committee on Digital Vulnerabilities (Lysne-utvalget). Research interests include cryptographic voting systems, key exchange protocols (with a focus on forward secrecy and tight security proofs), privacy-preserving technologies in blockchain and cloud environments, and formal methods for verifying security protocols. Notable work includes development of coercion-resistant voting systems, lattice-based cryptographic schemes for voting, and machine-checked proofs of accountability. Publications highlight advancements in secure voting systems, post-quantum cryptography, and protocols for constrained networks. Collaborations span international researchers in cryptography and security. His textbook Practical Mathematical Cryptography (2022) provides foundational insights into applied cryptographic techniques. Professional activities include advising on national cybersecurity initiatives and contributing to the design of secure electronic voting infrastructure. Current projects emphasize privacy-preserving blockchain systems and formal verification of cryptographic protocols.

• Network Security
• IoT Security
• Blockchain Technology
• +۴ مورد دیگر

Dr. Georgios Spathoulas is a Teaching Professor at the University of Thessaly's Department of Computer Science and Biomedical Informatics since 2014, where he teaches undergraduate and postgraduate courses. He concurrently serves as a Postdoctoral Researcher at the Critical Infrastructures Security and Resilience group at NTNU CCIS. His research focuses on network security, IoT security, privacy-preserving techniques, and blockchain technology. He holds a Diploma in Electrical & Computer Engineering from Aristotle University of Thessaloniki (2002), an MSc in Computer Science from the University of Edinburgh (2005), and a PhD in Digital Systems from the University of Piraeus (2013). His research interests emphasize secure IoT systems, blockchain scalability, and privacy-preserving algorithms. Notable trends in his publications include advancements in blockchain state channels, cryptographic methods for IoT, and AI-driven cybersecurity solutions. Over 30 peer-reviewed publications highlight his contributions to cybersecurity, digital forensics, and distributed ledger applications. His work addresses challenges such as DNS exfiltration detection, lightweight commitment schemes for IoT, and defensive deception strategies against intruders. Collaborations include national/international projects and roles as a conference program committee member.

• Environmental Crime
• Geointelligence
• Sustainable Forest Management
• +۷ مورد دیگر

Franco Perazzoni is a distinguished Brazilian academic and law enforcement professional specializing in environmental crime, geointelligence, and sustainable forest management. He holds a PhD in Social Sustainability and Development from Open University of Lisbon and multiple master's degrees from institutions including Universidad Carlos III de Madrid and Universidade Nova de Lisboa. Currently, he serves as a Research Professor at Escola Superior de Polícia, where he supervises numerous graduate students and conducts cutting-edge research at the intersection of technology, law enforcement, and environmental protection. Perazzoni's educational background is exceptionally diverse, spanning law, computer science, environmental studies, and data science. His PhD thesis focused on Geographic information, Sustainability and the Amazon, applying geointelligence to evaluate Sustainable Forest Management. His academic journey includes specialized training in areas such as Artificial Intelligence for Law Enforcement Officers, Amazonian Studies, and Control of Public Fund Misappropriation. His research interests center on the application of geointelligence and data science to combat environmental crimes, particularly in the Amazon region. He has pioneered the use of GIS and remote sensing technologies in law enforcement operations against illegal deforestation and timber laundering. His work bridges the gap between technological innovation and practical law enforcement applications, with a strong emphasis on sustainable development and environmental protection. Perazzoni's recent publications demonstrate a clear evolution toward addressing emerging challenges at the intersection of technology, law, and environmental sustainability. His work increasingly focuses on blockchain applications for environmental protection, the legal implications of quantum computing, and European sustainability regulations' impact on Brazilian exports. The trend shows a sophisticated integration of cutting-edge technology with traditional law enforcement methods to address complex environmental crimes. As an academic supervisor, Perazzoni has mentored numerous graduate students across institutions including Universidade Aberta de Lisboa, Universidad Carlos III, and Escola Superior de Polícia. His students' research topics reflect his interdisciplinary approach, covering areas such as geointelligence applications, environmental crime investigation, and blockchain for sustainable development. His leadership extends to organizing international forums on the Amazon, including the 4o Fórum Internacional sobre a Amazônia. Perazzoni actively participates in research teams focused on environmental crime investigation, bringing together experts from law enforcement, academia, and technology sectors. His work with Federal Police operations demonstrates the practical application of academic research to real-world environmental protection challenges, particularly in the Amazon basin where illegal deforestation remains a critical concern.