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Aaron JonesView profile

Professor

• Cyber Security
• Network Security
• Technology Forensics
• +7 more

Aaron Jones is a Professor at the University of Advancing Technology (UAT), where he serves as the Program Champion for the Cyber Security group of majors. With several years of experience at UAT, he also works as a cyber security analyst for a local law enforcement organization. His academic background includes a B.Sc. in Computer Information Systems from Park University (2013) and an M.A. in Intelligence Analysis with a focus in Cyber Security (2014). Professor Jones teaches courses in technology forensics, network security, network engineering, and technology leadership. His research and professional interests span across cyber security, network security, information security, web security, password management, Linux systems, open source intelligence, and identity theft prevention. He has published numerous articles on these topics, demonstrating his expertise in both theoretical and practical aspects of cyber security. His recent publications show a strong focus on emerging cyber threats, security tools, and educational approaches to cyber security. The articles span topics from drone security integration to UEFI attacks, password management, and Linux fundamentals, highlighting his comprehensive understanding of the cyber security landscape. His work often bridges academic theory with real-world applications, particularly in law enforcement contexts. Recognition from El Paso Police Department Recognition from State of Texas Recognition from Texas Military Forces Recognition from Chandler Police Department Professor Jones actively mentors students and encourages participation in internships and competitions to build practical experience. He founded the Phoenix Linux Users Group Cyber Security Meetup, where he teaches various cyber security topics to diverse audiences including students, teachers, law enforcement, military personnel, and government officials. His teaching philosophy emphasizes that every student is a cyber security ambassador responsible for developing internal networks and relationships with peers. He maintains strong industry connections, working with partners to ensure students gain relevant experience through internships and externships. His professional work as a software developer creating applications for law enforcement complements his academic role, providing students with real-world insights into cyber security challenges.

Cui YuView profile

Associate Professor

• Database Management
• Information Retrieval
• High-Dimensional Indexing
• +2 more

Dr. Cui Yu serves as an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where she maintains an active research program focused on database systems and information retrieval. With over two decades of scholarly contributions, her work bridges theoretical foundations and practical applications in data management. Her academic foundation includes a Ph.D. from the National University of Singapore, establishing her expertise in advanced database methodologies. This background enabled her pioneering work in high-dimensional indexing techniques that address the 'curse of dimensionality' in modern data systems. Dr. Yu's research program centers on innovative solutions for database indexing, query optimization, and information retrieval. She developed the influential iDistance method and FB+-tree indexing structures that transform high-dimensional data into manageable single-dimensional spaces. Her recent work demonstrates significant evolution from core database theory toward applied domains including privacy-preserving social networks, smart city infrastructure (notably CNN-based parking systems), and mobile applications for skill development. This trajectory reflects her ability to adapt database principles to emerging technological challenges while maintaining rigorous theoretical grounding. Analysis of her publication history reveals consistent leadership in database indexing innovation, with foundational work in the early 2000s maturing into diverse applications by the late 2010s. Her research maintains strong connections between theoretical indexing advances and real-world implementations across domains including multimedia retrieval, geospatial systems, and security applications. Her scientific recognition includes two significant U.S. patents: Apparatus and method for performing transformation-based indexing of high-dimensional data (US patent: 7117217, 2006) Transformation-based method for indexing high-dimensional data for nearest neighbor queries (US patent: 6,834,278, 2004) As an educator, Dr. Yu actively mentors students through research projects and application development initiatives. She teaches core curriculum courses including Computer Architecture, Database Systems at multiple levels (undergraduate CS 432, graduate CS 533), and Senior Capstone Projects. Her teaching load demonstrates substantial commitment to both foundational computer science education and advanced specialized topics, with consistent course offerings through 2025. She maintains active professional engagement through IEEE membership and continuous scholarly output.

Susan FarajiView profile

Professor

• Integral Abutment Bridges
• Finite Element Modeling
• Structural Behavior Analysis
• +3 more

Susan Faraji is a Professor in the Civil and Environmental Engineering Department at the Francis College of Engineering, University of Massachusetts Lowell. With over four decades of experience, she has established herself as a leading expert in structural engineering, particularly in the analysis and design of bridges and advanced structural mechanics. Education: Ph.D. in Civil Engineering (Structures and Applied Mechanics), University of Massachusetts, Amherst, 1983 M.S. in Structural Engineering, Northeastern University, 1979 B.S. in Structural Engineering, Arya-Mehr University, Tehran, Iran, 1979 Dr. Faraji's research focuses on integral abutment bridges, finite element modeling of structures, and the behavior of bridges through data collection and analysis. Her work bridges theoretical mechanics with practical engineering applications, contributing significantly to the design and safety of infrastructure. She has extensive industrial experience, collaborating with government agencies and consulting firms on diverse structural projects. Her publication record demonstrates a clear evolution from foundational theoretical work on shell/plate mechanics (1980s) to applied bridge engineering research (1990s-2000s), culminating in comprehensive textbooks and ongoing field monitoring projects. Current research emphasizes data-driven analysis of integral abutment bridge behavior under thermal and geometric variables. Scientific Awards: University Merit Award for Teaching, UMass Lowell University Merit Award for Service, UMass Lowell Dr. Faraji has secured substantial research funding from the US DOT, Massachusetts DOT, US Army Corps of Engineers, NCHRP, and NSF. Her sponsored projects include multi-year studies on integral abutment bridge behavior, seismic design methodologies, and structural analysis for infrastructure projects. She has mentored generations of engineers through her teaching and consulting practice, applying expertise to real-world challenges from tentage structures to major bridges. Her current work involves collaboration with HNTB Corporation on Vermont bridge monitoring and DOT-sponsored development of integral abutment bridge design guidelines, utilizing field instrumentation and data analysis teams for long-term structural assessment.

• Accounting Education
• Audit Technology
• Audit and Assurance Markets
• +5 more

Dr. Michael Kend is a Lecturer in the Department of Accounting, Info Sys & Supply Chain at RMIT University, where he has served full-time since 2007. Previously, he was an Accounting Lecturer at the Australian National University (ANU) from 2003 to 2007. His research focuses on accounting education, audit technology, audit and assurance markets, and corporate law reforms. He has published in leading journals such as Accounting and Finance and ABACUS , and secured grants from organizations like ICAEW, CPA Australia, and the ARC Linkage grants. Since 2025, he has coordinated the Department’s research seminars. Dr. Kend supervises Masters and PhD students and contributes to UN Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation, and Infrastructure). His work bridges academic research with practical audit challenges in diverse contexts, including Saudi Arabia, Vietnam, and Europe. Grants: ICAEW, CPA Australia, CA ANZ, ARC Linkage, AFAANZ Key Roles: Research Seminar Coordinator (RMIT Department of Accounting) Research Interests: Audit technology adoption, regulatory reforms, sustainability assurance, and the impact of emerging technologies on audit practices. His studies often analyze cross-jurisdictional differences and their implications for audit quality and professional standards.

• Bioinformatics
• Plant Genomics
• Small RNA Biology
• +3 more

Domenico De Paola is a permanent Researcher at the Institute of Biosciences and BioResources (IBBR) of the National Research Council of Italy (CNR), based at the Bari headquarters. His work integrates advanced bioinformatics with plant molecular biology to address agricultural challenges, particularly in Mediterranean crops. He holds a PhD in Plant Breeding and Pathology (2011) and a Degree in Biological Sciences (2007), both from the University of Bari. His career at CNR began as a Research Fellow in 2011, leading to a permanent position in 2012. De Paola's research focuses on Next Generation Sequencing data analysis , specializing in small non-coding RNAs and plant stress responses . Key areas include discovery of plant microRNAs and their targets, characterization of stress-responsive microRNAs in plant-microbe interactions, and identification of Bowman-Birk protease inhibitors in legumes. His work bridges computational biology with experimental validation to enhance crop resilience. An analysis of his 15 most recent publications (2015-2022) reveals consistent emphasis on plant genomics and stress adaptation mechanisms . Major themes include microRNA regulation in durum wheat under nutrient stress, chloroplast genome evolution in artichoke/cardoon complexes, and applications of high-throughput phenotyping for Mediterranean food security. His methodologies prominently feature NGS pipeline development and comparative genomic analyses. He actively participates in collaborative initiatives including BIodiverSO and PON 01_145 ISCOCEM projects, focusing on biodiversity conservation and crop improvement. Public engagement is evident through events like the 2019 Puglian Biodiversity Week. As part of IBBR's Bari division, De Paola utilizes the institute's genomic and proteomic facilities, contributing to research infrastructure that supports Mediterranean crop studies and germplasm conservation efforts.

Todd R. AndelView profile

Professor

• Cyber Security
• Network Security
• Embedded Systems Protection
• +5 more

Dr. Todd R. Andel serves as Dean of the School of Computing and Professor of Computer Science at the University of South Alabama. He previously held roles including Department Chair (2019–2023) and Associate Professor (2012–2015). His expertise spans cyber security, embedded systems protection, and network security protocols. Education: Ph.D. in Computer Science from Florida State University (2007), M.S.C.E. in Computer Engineering from Air Force Institute of Technology (2002), and B.S.C.E. in Computer Engineering from University of Central Florida (1998). Research focuses on side-channel analysis/defense, embedded systems security, and active cyber defenses. He leads the System Protection and Exploitation Research (SPERG) group, emphasizing malware analysis, program obfuscation, and formal methods in reverse engineering. The CFITS Center explores forensic technology and information security. Publications span 20+ years with notable work on MTD strategies, SCADA security, and IoT threats. No awards listed but maintains active research labs and educational toolkits for undergraduate research. Teaching includes courses on network security, computer architecture, and distributed systems. Advising details and grants are not explicitly listed.

George ClarkView profile

Assistant Professor

• Cybersecurity
• Critical Infrastructure
• Industrial Control Systems
• +5 more

Dr. George Clark is an Assistant Professor in the Department of Computer Sciences at the University of South Alabama’s School of Computing. His academic journey includes a Ph.D. in Computing (2019), M.S. in Computer Science (1999), and B.S. in Electrical Engineering (1992), all from the University of South Alabama. He previously held roles as Assistant Professor at Spring Hill College (2018–2022) and Adjunct Instructor at the University of South Alabama (2017–2018). His research focuses on cybersecurity in critical infrastructure, industrial control systems, cyber-physical systems, and robotics, with a particular emphasis on machine learning security. Key projects include defending robotic systems against cyberattacks and enhancing cybersecurity for autonomous vehicles. His teaching spans programming languages, computer architecture, and robotics, with courses at both undergraduate and graduate levels. Dr. Clark’s publications reflect his expertise in cybersecurity, machine learning, and robotics, including works on hybrid decision-tree neural networks (2020) and semiconductor workforce development (2024). His earlier research (1998–1999) explored software reuse methodologies, aligning with his broader interest in software engineering practices. Memberships: Senior Member of IEEE, Upsilon Pi Epsilon, Sigma Beta Delta Certifications: Professional Engineer License (Alabama #34818) He advises courses in interdisciplinary computing education and has contributed to curriculum development integrating robotics. His work bridges theoretical research with practical applications in both industry and academia.

Bram AdamsView profile

Associate Professor

• Release Engineering
• DevOps
• Software Analytics
• +5 more

Bram Adams is an Associate Professor at Queen's University's School of Computing, part of the Faculty of Arts and Science. He holds a Ph.D. in Computer Science Engineering from Ghent University (2008) and is an adjunct professor at Polytechnique Montreal. His research focuses on release engineering, software analytics, and human affect in software engineering, with contributions to build systems, software modularity, and green software practices. He leads the MCIS Lab, which studies software maintenance, construction, and intelligence. Research Interests: Release Engineering and DevOps Build Systems and Continuous Integration Software Analytics and Empirical Studies Human Affect in Software Engineering (sentiment/emotion analysis) Green Software and Energy Consumption Software Modularity and Concern Mining Awards: 2021 MSR Foundational Contribution Award Multiple Distinguished Paper and Best Paper Awards at ICSE, FSE, and MSR Most Influential Paper Awards for SCAM 2010 and AOSD 2009 Academic Service: General Chair of Mining Software Repositories (MSR) 2025 Editorial roles at IEEE TSE, Empirical Software Engineering, and Information and Software Technology Organizer of workshops on Software Health, Release Engineering, and Mining Software Repositories Labs/Teams: Heads the MCIS Lab at Queen's University, collaborating with researchers on release engineering, build systems, and software analytics.

• Information Security
• Software Security
• Security Engineering
• +4 more

Prof. Marc Rennhard is Director of the Department of Information Technology, Electrical Engineering and Mechatronics at ZHAW School of Engineering. He holds a PhD in anonymous internet communication from ETH Zurich (2004) and has over 20 years of experience in information security. His roles include Head of the Institute of Applied Information Technology (InIT) until 2023 and Head of the Information Security Research Group since 2005. He collaborates with ETH Zurich's Zurich Information Security Center (ZISC). Education: Dr. sc. techn. ETH (2004), Dipl. El.-Ing. ETH (2004), Certified CISSP (2004). Leadership includes projects like FASTscan, OptiPhish, and dokspot. Research focuses on software security, web application vulnerabilities, and automated security testing. Active in networks such as Information Security Society Switzerland (ISSS) and the Digital Society Initiative (DSI) Cybersecurity Advisory Board. Research interests span dynamic security analysis of Android systems, access control vulnerabilities, and machine learning for security. Over 30 publications include work on vulnerability detection, secure data storage (SecureSafe), and telematics security. Leading 15+ industry-funded projects with emphasis on applied cybersecurity solutions.

• Software Testing
• Cybersecurity
• Static Analysis
• +3 more

Stephan Lipp, M.Sc., is a Researcher at the Technical University of Munich (TUM) within the Department of Software and Systems Engineering. His work focuses on software testing methodologies, cybersecurity, and the integration of static analysis with fuzzing techniques. He contributes to projects such as SUPPRA (Algorand Center of Excellence), TAPFER, and CrESt, addressing challenges in secure software development and maintenance. His research interests span vulnerability detection in C/C++ software, optimization of fuzzing processes, and cross-language regression testing in continuous integration environments. Recent publications highlight empirical studies on static analyzers and novel approaches to estimating test coverage saturation. Lipp is actively involved in academic supervision and teaching, managing student projects and presentations. He is reachable at stephan.lipp@tum.de and emphasizes secure communication via PGP-encrypted emails.

• Security and Privacy
• Cyber-Physical Systems
• Machine Learning
• +3 more

Yuan Tian is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on security and privacy, with a particular emphasis on cyber-physical systems, machine learning applications in vulnerability detection, and human-computer interaction challenges in privacy preservation. He has collaborated with industry leaders such as Google, Facebook, Microsoft, Samsung, and others to address real-world security and privacy issues in mobile systems and IoT devices. His work spans theoretical frameworks for automated vulnerability repair to practical tools like AuthSaber for OAuth security verification. Key research areas include: Development of LLM-powered systems for vulnerability detection (e.g., VulBinLLM) Post-fuzzing analysis of firmware (FirmRCA) Privacy perception studies in smart environments (e.g., WiFi services and commercial buildings) Hardware/software co-design security for IoT His recent work bridges machine learning and cybersecurity, addressing threats in smart contracts, federated learning, and adversarial attacks. Notable contributions include frameworks for privacy-preserving inference in edge networks and sonar-based authentication systems for smart speakers. Awards and recognition: No specific awards listed, though his work has been widely adopted by industry partners. His research has been published in top-tier venues, including S&P, CCS, and IEEE S&P, reflecting its technical impact.

Marina RudyakView profile

Lecturer

• Global China Studies
• Chinese Foreign Aid Policy
• South-South Cooperation
• +3 more

Marina Rudyak is a sinologist and academic at Heidelberg University specializing in China Studies and International Development. Her work focuses on China's role as a global development actor, including foreign aid policy, the Belt and Road Initiative (BRI), and China's engagement in Africa and Central Asia. She holds a doctoral degree from Heidelberg University, where her dissertation examined the evolution of China's foreign aid system. Previously, she worked with the German Agency for International Cooperation (GIZ) in Beijing, managing regional economic cooperation projects. Her research interests include global China dynamics, political ideology in China, and coded communication in Chinese politics. She advises governmental and NGO stakeholders on Chinese aid, BRI implications, and EU-China-Africa cooperation. She is founder of the blog china-aid-blog.com and an active member of networks like the BMW Foundation Responsible Leaders and Global Diplomacy Lab. Rudyak teaches courses on Chinese politics, economy, and development policy at Heidelberg University and other institutions, including seminars on China's economic cooperation with developing countries and the BRI. She is fluent in Russian, German, English, and Mandarin Chinese. Awards: Geschwister-Supp-Foundation PhD Scholarship, BMW Foundation Responsible Leaders Network Member Key Projects: Dissertation on China's foreign aid system, multi-country GIZ project on regional economic integration Publications: Over 30 articles on Chinese aid policy, BRI, and development finance, including chapters in the Handbook of the International Political Economy of China

• Earth Observation and Remote Sensing
• Earth Sciences
• Climate Change
• +7 more

Roelof Rietbroek is an Assistant Professor in the Department of Water Resources at the University of Twente, Faculty of Geo-Information Science and Earth Observation. His research lies at the intersection of Earth observation, remote sensing, and geosciences, with a strong focus on climate-related phenomena such as sea-level rise, drought, flooding, and terrestrial water storage dynamics. Assistant Professor, Department of Water Resources, University of Twente Active researcher in Earth and Planetary Sciences with expertise in satellite gravimetry (GRACE), GNSS, and coastal remote sensing Contributor to open science through datasets and software (e.g., pygtide, shxarray, geoslurp) Collaborates internationally on climate adaptation, coastal hazards, and sustainable geoscience education His research interests span Earth Observation and Remote Sensing , Climate Change , GNSS Geodesy , Gravimetry , Sea Level Rise , and Terrestrial Water Storage . He leverages satellite data and geodetic techniques to monitor and model environmental changes, particularly in coastal and hydrological systems. His work integrates physical geodesy with hydrology and climate science to understand the impacts of global change. The analysis of his recent publications reveals a consistent focus on using space-based observations to address pressing environmental challenges. His articles span topics from coastal morphodynamics at Terschelling to global GNSS velocity fields and drought detection via water storage anomalies. The interdisciplinary nature of his work bridges geodesy, hydrology, and climate science, with increasing emphasis on open data, reproducibility, and educational integration. Scientific contributions and recognitions include: Active contributor to high-impact journals such as Natural Hazards and Earth System Sciences and International Journal of Sustainability in Higher Education Creator and maintainer of open-source tools: pygtide , shxarray , and geoslurp ORCID: 0000-0001-5276-5943 h-index of 21 with over 3,300 citations (Scopus) Rietbroek advises through collaborative research and supervises data and software development for environmental applications. His work is supported by institutional affiliations and access to advanced geospatial infrastructure. He is involved in educational innovation, particularly in integrating sustainability into geoscience curricula. He leads or contributes to data management frameworks that enable large-scale, cloud-based geoscientific analysis. He is a key figure in the geodetic and hydrological remote sensing community, with active research in both observational techniques and their application to societal challenges like climate adaptation and water security.

• Natural Language Processing
• Information Retrieval
• Web Personalization
• +6 more

Wolfgang Nejdl is a distinguished Professor at Leibniz University Hannover, working within the Faculty of Mathematics and Computer Science and affiliated with the Institute of Information Systems. With an extensive publication record spanning over two decades, he has established himself as a leading researcher in Natural Language Processing, Information Retrieval, and Web Personalization. His work bridges theoretical advances with practical applications, particularly in clinical NLP and semantic web technologies. Nejdl's research interests encompass a broad spectrum of topics including Natural Language Processing, Information Retrieval, Web Personalization, Semantic Web technologies, Machine Learning applications, Clinical NLP, and Recommender Systems. His recent work has focused on critical challenges such as clinical outcome prediction using MIMIC datasets, financial literacy evaluation of large language models, and developing resources for low-resource languages like Tigrinya. He has made significant contributions to understanding data drift in clinical applications and developing interpretable AI systems for healthcare. His publication record shows a consistent trajectory of impactful research, with recent articles demonstrating his ability to tackle emerging challenges in NLP and AI. From his foundational work on web personalization using ODP metadata to his current research on clinical NLP and low-resource language processing, Nejdl has consistently addressed important problems at the intersection of information systems and human needs. His work on stance detection incorporating toxicity and morality analysis represents innovative approaches to understanding social media discourse. Among his notable achievements are the development of the EDUTELLA P2P infrastructure based on RDF, significant contributions to boilerplate detection algorithms, and pioneering work on preventing shilling attacks in recommender systems. His research has been widely cited, reflecting its substantial impact on the fields of web science and natural language processing. Nejdl has supervised numerous students and collaborated extensively with researchers worldwide, particularly with Alexander Loeser, Jens-Michalis Papaioannou, and Paul Grundmann. His work demonstrates a consistent focus on practical applications of theoretical advances, particularly in healthcare and web technologies. He has also worked on important infrastructure projects like the L3S Research Center, contributing to the broader academic and technological ecosystem.

Bernhard RabeView profile

Researcher

• Embedded Systems
• Mobile Systems
• Distributed Systems
• +7 more

Bernhard Rabe is a researcher at the Hasso Plattner Institute (HPI), University of Potsdam, affiliated with the Professorship for Operating Systems and Middleware. He has been actively involved in research and teaching since 2002, focusing on embedded and mobile systems, distributed control labs, and scripting languages. His research interests span embedded systems, mobile computing, cloud software quality, remote laboratories, and .NET technologies for constrained environments. He has contributed significantly to the design and optimization of self-contained CLI assemblies and real-time control in distributed lab environments. The publication trends show a consistent focus on distributed systems, remote experimentation, and software architecture for embedded and cloud platforms. His work bridges academic research with practical applications in e-learning and industrial control systems. Bernhard Rabe has served in organizational and editorial roles for several workshops, including VIRTUAL-LAB and WoRD, and has reviewed for conferences in pervasive technologies and e-learning. He has co-authored technical reports and proceedings, contributing to the academic community through knowledge dissemination. He has contributed to multiple research projects such as the Distributed Control Lab, 64-Bit Laboratory, Lego.NET, and Vet-Trend, demonstrating a strong engagement with applied computing and system integration.