جست‌وجوی استاد و پژوهشگر

• Adversarial Machine Learning
• Text Processing
• Machine Learning Algorithms
• +۳ مورد دیگر

Nura Aljaafari is a researcher in the Department of Computer Science, focusing on adversarial machine learning and text processing. Her work explores the robustness of machine learning models against adversarial attacks and defenses, particularly in federated learning and natural language processing contexts. Dr. Aljaafari holds a Doctor of Philosophy (Ph.D.) in Computer Science, providing expertise in advanced computing and machine learning methodologies. Her research interests center on adversarial machine learning, text processing, and enhancing the security of machine learning algorithms. Her recent studies include analyzing token compositionality in large language models and interpreting conceptual frameworks in GPT models, highlighting her focus on model interpretability and reliability. Earlier work includes investigating adversarial attacks in federated learning systems and developing defenses for license plate recognition systems. While her profile does not explicitly list awards or grants, her publications have garnered significant attention, with citations in cybersecurity and machine learning fields. Collaborations include developing bioinformatics tools using GANs and analyzing organizational security practices in Saudi Arabian contexts.

Lin Weiمشاهده پروفایل

استاد

• Bioenergy
• Biomass Conversion
• Food Processing and Safety
• +۳ مورد دیگر

Dr. Lin Wei is a Professor and Graduate Coordinator in the Department of Agricultural and Biosystems Engineering at South Dakota State University (SDSU). He holds a B.S. in Agricultural Engineering from China Agricultural University, M.S. in Mechanical Engineering (Guangxi University), and M.S./Ph.D. in Biological Engineering (Mississippi State University). His research focuses on biomass conversion, bioenergy production, smart agriculture, and food safety. He leads projects on biochar-based fertilizers, cold plasma food safety technologies, and AI-driven precision farming. Dr. Wei has authored over 80 peer-reviewed papers and secured $7M+ in grants. He chairs multiple professional committees (ASABE Renewable Energy, USDA-S1075, ISO-WG6) and serves as editor for journals like Agricultural Engineering and Transactions of the ASABE. Recent grants include biochar soil health studies ($583K USDA) and nanobubble dairy waste management ($22K SD WRI). His team develops smart sensors for crop monitoring and biopolymer nanocomposites for food packaging. Notable awards include 2024 Outstanding Researcher (College of Agriculture) and 2022 Excellence in Editing (ASABE). Ongoing work integrates thermochemical processes with AI to enhance biofuel production efficiency and environmental sustainability.

Jasmin Jahicمشاهده پروفایل

پژوهشگر

• Concurrent Computing
• Software Engineering
• Embedded Systems
• +۳ مورد دیگر

Jasmin Jahic is a Researcher at the Computer Architecture Group of the University of Cambridge, working under Timothy M. Jones. She holds a PhD in 'Supervised Testing of Embedded Concurrent Software' from the University of Kaiserslautern (2020) and has extensive experience as a researcher and project manager at the Fraunhofer Institute for Experimental Software Engineering. Her research focuses on concurrency in embedded systems, software engineering, AI integration, and low-power systems. Education: PhD in Computer Science from the University of Kaiserslautern (2020). Prior roles include Project Manager at Fraunhofer IESE and Coordinator of the European Master Program in Software Engineering. Research Interests: Concurrent computing, embedded systems architecture, AI applications in software engineering, and low-power system design. She explores concurrency bugs, synchronization mechanisms, and software architecture evolution in the context of Industry 4.0 and autonomous systems. Professional Activities: Co-Organizer of SAMOS workshops (2018–2021), Reviewer for IEEE/ACM conferences, and contributor to European Strategic Research Agendas for embedded systems. Teaches courses on software architectures for embedded systems and supervises numerous graduate students. Key Contributions: Frameworks like BOSMI for multithreaded software testing, FERA for concurrency bug detection, and research on AI adoption in traditional embedded systems. Active in HiPEAC conferences and industry partnerships.

Sandhya Dwarkadasمشاهده پروفایل

استاد

• Parallel and distributed computing
• Computer architecture
• Compiler/Runtime-Architecture Interaction
• +۵ مورد دیگر

Sandhya Dwarkadas is the Walter N. Munster Professor and Chair of the Department of Computer Science at the University of Virginia. Her research focuses on the intersection of computer hardware and software, particularly in parallel computing, computer architecture, and compiler/runtime-architecture interaction. She holds dual roles as department chair and active researcher, balancing leadership with contributions to energy-efficient and reconfigurable computing systems. Education: B.Tech. in Electrical Engineering, Indian Institute of Technology (1986) M.S. and Ph.D. in Electrical and Computer Engineering, Rice University (1989, 1993) Research interests emphasize parallel and distributed computing architectures, with a focus on energy efficiency, cache coherence, and security in multicore systems. Recent work explores mitigating side-channel attacks via innovations like TimeCache and RollingCache. Her publications span 30+ years, addressing both foundational and applied challenges in computer systems. Awards highlight her impact: ACM and IEEE Fellowships (2018/2017), University of Rochester’s Hajim Award (2020), and AAAS Fellowship (2024). She actively mentors students through courses like CS 6190 and leads interdisciplinary projects like TriForce. Labs/Teams: Her work is anchored in the University of Virginia’s Computer Science Department, collaborating across academia and industry to advance next-generation computing systems.

Eric Wustrowمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Anticensorship
• +۴ مورد دیگر

Eric Wustrow is an Associate Professor in the Department of Electrical, Computer, and Energy Engineering (ECEE) at the University of Colorado Boulder. His research focuses on computer security, network security, anticensorship, and protocol security. He has advised multiple PhD students including Abdulrahman Alaraj, Jackson Sippe, and Gaukas Wang. Research Interests: Network security and protocol analysis Anticensorship techniques and measurement Internet measurement and infrastructure analysis Cryptography and secure system design Notable Contributions: Developed ZMap, a fast internet-wide scanning tool Pioneered anticensorship research through projects like Telex and TapDance Conducted impactful studies on TLS vulnerabilities and cryptographic key management Awards: Best Paper at USENIX Security 2012 IRTF Applied Networking Research Prize (2024) Third Prize in 2021 Internet Defense Prize Labs/Teams: Active contributor to Refraction Networking projects and cybersecurity tool development initiatives.

Mark Harrisمشاهده پروفایل

دانشیار

• Information Security Management
• Socio-Behavioral Aspects of Technology Adoption
• Trust-Based Models in Cybersecurity
• +۳ مورد دیگر

Mark Harris is an Associate Professor and Interim Department Chair in the Department of Cyber Security at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. in Business/Commerce and Management Information Systems from Virginia Commonwealth University, along with multiple other degrees. His research focuses on socio-behavioral aspects of information security, particularly trust-based models influencing technology adoption (e.g., mobile payments, telemedicine). He has received awards including the Augusta University Graduate School Distinguished Service Award (2020) and SCCS Outstanding Faculty Award (2020). Education: Ph.D., Business/Commerce & MIS, Virginia Commonwealth University (2010) MS, Business, Old Dominion University (2003) BSBA, Management Information Systems, Old Dominion University (1999) Recent Research Trends: Recent publications emphasize trust frameworks in telemedicine adoption, mobile payment systems, and cybersecurity compliance strategies. His work bridges behavioral psychology with technological adoption barriers, frequently using empirical reviews to identify gaps in theoretical models. Awards & Service: Recipient of 2018 International Journal of Information Management Review Excellence Award Curriculum Sub-Committee Member at Augusta University's Graduate School Editorial Board Member for International Journal of Information Management Teaching & Leadership: Serves as Director of the Master’s in Information Security Management Program (2016–2022) and currently chairs multiple university committees. Teaches graduate courses on information security research and legal issues in cybersecurity.

Bharanidharan Shanmugamمشاهده پروفایل

دانشیار

• IoT Security
• Cyber Risk Management
• Network Security
• +۳ مورد دیگر

Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.

Liqiang Wangمشاهده پروفایل

استاد

• Big Data Analytics
• High-Performance Computing (HPC)
• Parallel Computing
• +۳ مورد دیگر

Liqiang Wang is a Professor in the Department of Computer Science at the University of Central Florida (UCF), where he directs the Big Data Lab. Previously, he served as faculty at the University of Wyoming (2006-2015). He holds a Ph.D. in Computer Science from Stony Brook University (2006) and spent a visiting research period at IBM T.J. Watson Research Center (2012-2013). His research focuses on big data analytics, high-performance computing, parallel systems optimization, and applying deep learning to detect programming errors and enhance model robustness. Education: Ph.D., Computer Science, Stony Brook University (2006); Visiting Researcher, IBM Watson (2012-2013). Research Interests: Improving accuracy and security of big data models, optimizing parallel computing systems (HPC, Cloud, GPUs), program analysis for concurrency errors, and deep learning applications in anomaly detection and adversarial robustness. Notable projects include scalable LSQR algorithms for seismic tomography and the OpenMP Analysis Toolkit (OAT) for concurrency error detection. Key Awards: NSF CAREER Award (2011), Castagne Faculty Fellowship (2013-2015), UCF Mid-Career Refresh Award (2020), and grants including a $50K NSF CIVIC-PG grant (2022) and Google/Meta donations. Advising and Grants: Supervises over 20 Ph.D./M.S. students and has secured grants totaling over $100K. Notable collaborations include seismic tomography with NCAR and cloud computing optimization. Labs/Teams: Director of UCF’s Big Data Lab, collaborating on projects like Parallel LSQR and Anti-Neuron Watermarking.

Russell Sabellaمشاهده پروفایل

استاد

• School Counseling
• Solution-Focused Brief Counseling
• Educational Technology
• +۴ مورد دیگر

Russell Sabella is a Professor and Program Coordinator in the Department of Leadership, Counseling, and Human Development at Florida Gulf Coast University (FGCU). He holds a Ph.D. in Counselor Education and Supervision, an M.Ed. in School Counseling, and a B.S. in Psychology. Dr. Sabella specializes in solution-focused brief counseling, comprehensive school counseling programs, and addressing cyberbullying and digital safety issues. His research interests include applying solution-focused techniques to parent conferences, leadership program development, and classroom interventions. He has authored/co-authored over a dozen books, including Solution-Focused School Counseling: The Missing Manual (2020) and School Counselor Side Hustle (2019). His workshops, such as the Technology Boot Camp for Counselors, have trained thousands nationwide. Dr. Sabella served as President of the American School Counselor Association (2003–2004) and the Florida School Counselor Association (2013–2014). He has received awards including FGCU's Teaching and Service Excellence Awards and the Florida School Counselor Association's Lifetime Achievement Award. His work emphasizes technology integration in counseling and fostering resilience in educational settings. He teaches courses like Introduction to School Counseling, Research & Program Evaluation, and Leadership in Counseling. His publications span over three decades, addressing topics from cyberbullying prevention to post-pandemic student resilience. Dr. Sabella's contributions bridge practical counseling methods with modern technological challenges in education.

Rocco OLIVETOمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Prof. Rocco OLIVETO is a Full Professor at the University of Molise, affiliated with the School of Biosciences and Territory. His research spans software engineering, artificial intelligence, cybersecurity, and healthcare technology. He focuses on empirical studies of developer practices, AI-driven code analysis, vulnerability detection in smart contracts, and human-centric computing. His work also addresses challenges in game development, mobile app optimization, and wearable health monitoring systems. Notable research areas include code readability assessment, machine learning applications in healthcare diagnostics, and the effectiveness of AI tools like GitHub Copilot. He has contributed to projects like QualAI (continuous quality improvement for AI systems) and 2Vita-B (cognitive and physical rehabilitation systems). His empirical studies often bridge academic research with real-world developer workflows, emphasizing practical applicability. Prof. Oliveto's recent work explores topics such as automated gameplay analysis for game debugging, detection of engagement issues in video games, and robust methods for identifying security vulnerabilities. He has also investigated Dockerfile quality, developer frustration metrics, and the ethical implications of AI in administrative document simplification.

Youssef TLICHEمشاهده پروفایل

استادیار

• Supply Chain Management
• Logistics
• Quantitative Methods
• +۳ مورد دیگر

Youssef TLICHE is an Assistant Professor in Supply Chain Management and Logistics at EM Normandie, where he has been since 2021. He previously held an assistant professorship at Université Le Havre Normandie (2019–2020). He serves as Academic Director of the Graduate programs in Supply Chain Logistics Innovations. He holds a PhD in Management Sciences from Université Le Havre Normandie (2020) and an Engineering degree in Statistics and Data Analysis from ESSAI Tunis (2015). His research focuses on quantitative methods in supply chain management, including collaborative forecasting, decentralized supply chain optimization, and blockchain applications. He also explores decarbonization strategies in maritime logistics and the impact of AI on e-commerce. Key contributions include work on demand inference, inventory optimization, and blockchain in finance. His recent articles address topics such as AI-driven recommendation systems, wind-powered vessel financing, and Industry 4.0’s impact on supply chain vulnerability. No scientific awards are listed. His advising and grant activities remain unspecified in the provided text.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +۳ مورد دیگر

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

Tanel Alumäeمشاهده پروفایل

دانشیار

• Speech Processing
• Natural Language Processing
• Machine Learning
• +۵ مورد دیگر

Tanel Alumäe is a Tenured Associate Professor of Speech Processing and Head of the Laboratory of Language Technology at Tallinn University of Technology (TalTech). He holds a PhD in Information and Communication Technology from TalTech (2006) and has conducted research at institutions like LIMSI/CNRS, Aalto University, and Raytheon BBN Technologies. His research focuses on speech processing, speaker and language recognition, and low-resource language technologies. Affiliations: Department of Software Science, School of Information Technologies, TalTech. Education: PhD in ICT (2006), MSc in Informatics (2002), Diploma in Computer & Systems Engineering (1999). Research interests include speech recognition, speaker diarization, spoken language translation, and combating DeepFake voices. He leads teams achieving top results in competitions like IARPA BABEL, NIST LRE, and Interspeech challenges. His work emphasizes open-source tools and equitable AI solutions. Key Awards: Best Student Paper at Odyssey 2024 and TSD 2018. Keeletegu Awards (2019, 2011) for contributions to Estonian language technology. Grants & Leadership: Managed the National Programme for Estonian Language Technology (2011–2017). Serves as Secretary of the Northern European Association for Language Technology (NEALT) and Area Chair for ICME, EACL, and Interspeech conferences. Labs & Teams: Directs the Laboratory of Language Technology, focusing on practical applications of speech and language technologies.

Karim ZKIKمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technologies
• Artificial Intelligence
• +۳ مورد دیگر

Karim ZKIK is an Associate Professor of Cyber Security and Information Systems at ESAIP Graduate School of Engineering, Angers, France. Previously, he served as an Assistant Professor at the International University of Rabat (UIR), Morocco. His roles include Educational Manager of the Cyber Security track, Head of the Cybersecurity Innovation Hub, and committee member for ABET certification and curriculum design. He actively contributes to academic service, organizing conferences such as the International Conference on Cryptology, Coding Theory, and Cyber Security (I4CS 2022), and serves as a Guest Editor for Computers and Industrial Engineering . His research focuses on cybersecurity for connected systems, blockchain technologies, AI-driven security solutions, and cyber resilience in industrial control systems. Recent work explores integrating blockchain and machine learning for threat detection, secure IoT networks, and supply chain resilience. Key contributions include frameworks for cyber resilience in retail and airlines, blockchain-based crowdfunding security, and SDN-based attack mitigation. ZKIK holds a Habilitation (2024) and PhD in Cyber Security from Université d’Angers and Mohamed V University, Rabat. He holds over 20 certifications from EC-Council, IBM, and Cisco. His work bridges theoretical research and industry applications, addressing challenges in smart environments, industrial systems, and sustainable supply chains.

• Policing
• Private Security
• Security Governance
• +۴ مورد دیگر

Dr. Adam Aitken is a Lecturer at the School of Health and Society, University of Salford, Manchester, UK. His career spans over a decade in criminology and security studies, with prior roles as a Criminology Lecturer at De Montfort University (2017-2021) and Assistant Lecturer at the University of Glasgow (2013-2017). Education: Postgraduate Certificate in Academic Practice (2023-2024), University of Salford PhD in Criminology (2013-2017), University of Glasgow MSc in Applied Social Research in Criminology (2011-2012), University of Stirling BSc (Hons) in Criminological Studies (2004-2008), Abertay University Research Interests: Adam's work focuses on security governance , police legitimacy , private security dynamics , and community resilience , particularly in contexts like sporting mega-events and environmental disasters. His current BA/Leverhulme-funded project examines placemaking and rural resilience to UK flooding. Publication Trends: His recent articles (2024-2025) address digital policing, community resilience, and semiotic approaches to security signals. Earlier works analyze mega-event security, democratic governance, and environmental harms. Scientific Awards: Shortlisted 2nd Place (2015) for poster on mega-event policing at SIPR Postgraduate Student Symposium PhD Supervision: Adam has supervised PhD completions (Michael Mathura, 2020) and is primary supervisor for Brian Roberts' ongoing work on AI in UK policing. He contributes to the Centre for Research on Inclusive Society and aligns with UN SDGs for health, urban sustainability, and climate action.