جست‌وجوی استاد و پژوهشگر

Matthew R. Boutellمشاهده پروفایل

استاد

• Image Recognition
• Machine Learning
• Pattern Recognition
• +۴ مورد دیگر

Dr. Matthew R. Boutell is Professor and Associate Department Head of Computer Science and Software Engineering at Rose-Hulman Institute of Technology. He specializes in image recognition, machine learning, and pattern recognition, with additional expertise in robotics education and mobile application development. His research explores: Computer vision applications in photography and chromatography Machine learning techniques for security systems and game AI Innovative approaches to computer science education Entrepreneurial mindset development in technical curricula Analysis of Dr. Boutell's publications reveals three primary themes: Applied computer vision systems leveraging spatiotemporal and contextual features Educational research on instructional methods in computing fields Interdisciplinary applications of machine learning in chemistry and security Dr. Boutell received the Dean's Outstanding Teaching Award (2016) and served as a Fulbright Scholar at Copperbelt University in Zambia (2011-12). He played a key role in establishing Rose-Hulman's multidisciplinary robotics minor and developed courses in Android application development. His educational innovations include integrating robotics into introductory programming courses and creating video-based learning materials.

Clay Stevensمشاهده پروفایل

استادیار

• Software Engineering
• Programming Languages

Clay Stevens is an Assistant Professor at Iowa State University, specializing in Software Engineering and Programming Languages. His research focuses on scalable formal analysis techniques, IoT system security, and mobile computing challenges. He has contributed to advancing methods for automated incompatibility detection in Android systems, interaction threat analysis in IoT ecosystems, and optimizing program analysis through bound propagation and solution reuse. His work bridges theoretical foundations with practical applications, addressing scalability issues in software systems and leveraging game theory for understanding collaborative software development dynamics. Stevens has also explored health data visualization in mobile platforms and temporal reasoning in knowledge-based networks, showcasing a diverse technical portfolio. Notable contributions include the SAINTDroid tool for Android compatibility analysis and the Parasol framework for parallel model synthesis. His research consistently emphasizes improving efficiency and reliability in complex software environments. No scientific awards or grants are explicitly mentioned in the provided texts. Advising and team collaborations remain unspecified in the available data.

• Information Privacy
• Information Security and Assurance
• Auditing and Corporate Governance
• +۳ مورد دیگر

Associate Professor Jennifer ZIEGELMAYER holds a Doctor of Philosophy in Business Administration from the University of Mississippi and is affiliated with IÉSEG School of Management in France. She specializes in Management of Information Systems, focusing on research areas including Information Privacy, Information Security, Auditing, and Corporate Governance. Her academic roles include Track Coordinator for Management Information Systems (2017–2020) and Assistant Professor positions at IÉSEG, Qatar University, and Delta State University. She received the SAP Visionary Leadership Award (2015) for her contributions. Her teaching includes courses like Introduction to Information Systems and Cybersecurity Risk Management. Education: 2009: PhD in Business Administration, University of Mississippi, USA 2001: MS in Accounting and Information Systems, Middle Tennessee State University, USA 2000: Bachelor of University Studies, Middle Tennessee State University, USA Research Interests: ZIEGELMAYER’s work bridges IT and business governance, exploring topics such as privacy control models, automation’s psychological impacts, and audit committee dynamics. Recent studies include the environmental impact of IT use and ethical challenges in AI adoption. Publications Highlight: Her work spans cybersecurity, audit committee effectiveness, and educational technology, reflecting interdisciplinary engagement. Recent papers address automation anxiety and AI ethics, aligning with current tech challenges. Advising/Grants: No listed advisees or grants, though her research spans collaborative international projects.

• Cybersecurity
• Machine Learning
• Biometric Authentication
• +۴ مورد دیگر

Chan Yeob Yeun is a Professor at United Arab Emirates University in the College of Information Technology, with prior affiliation at Qatar University's Department of Computer Science. His research focuses on cybersecurity, machine learning, and biometric authentication systems, particularly in industrial IoT and digital twin environments. Current Affiliation: United Arab Emirates University, College of Information Technology Prior Affiliation: Qatar University, Department of Computer Science His work spans multiple domains including: Explainable AI for healthcare and security Biometric authentication using EEG and ECG signals Blockchain applications in UAV networks and industrial systems Federated learning security and data poisoning defense Digital twin threat modeling Recent publications demonstrate technical innovation in: YOLOv3-based safety monitoring Physics-informed neural networks Hybrid TESLA protocol security Shadow AI cybersecurity Metaverse threat intelligence

• Human-Computer Interaction
• Ubiquitous Computing
• Signal Processing
• +۳ مورد دیگر

Toshiki Takeuchi is an academic researcher known for contributions in Human-Computer Interaction (HCI), Ubiquitous Computing, and Signal Processing. His work spans interdisciplinary areas including healthcare informatics, wireless communication systems, and machine learning applications. He collaborates with institutions on projects involving emotion-aware systems, radio tomography, and bioinformatics tools. Research interests focus on: Designing systems for self-awareness and behavior change (e.g., driver behavior analysis, emotion logging) Signal processing in factory and vehicular environments (e.g., LOS/NLOS identification, mmWave MIMO) Medical NLP for clinical data analysis Secure software development for mobile applications Recent publications emphasize: Integration of NLP with electronic health records Radio tomography for spatial loss field estimation UI/UX innovations for health and transportation systems Grants and advising details are not explicitly documented in the provided texts. Collaborations include frequent work with researchers like Michitaka Hirose and Tomohiro Tanikawa.

• Network Security
• Android Security
• Cloud Computing Security
• +۷ مورد دیگر

Manoj Singh Gaur is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India. With a publication record spanning over two decades from 2003 to present, he has established himself as a prominent researcher in computer security and architecture. His work primarily focuses on network security, Android security, and Network-on-Chip architectures, with extensive collaborations with researchers from institutions worldwide including University of Padua (Italy), University of Southampton (UK), and other Indian institutions. Dr. Gaur's research interests encompass a broad spectrum of cybersecurity challenges, particularly in mobile and cloud environments. His work addresses critical issues such as Android malware detection, information leakage prevention, DDoS mitigation in cloud environments, and secure deduplication techniques. In computer architecture, he has made significant contributions to Network-on-Chip design, fault tolerance mechanisms, and power-efficient router microarchitectures. His research methodology often combines theoretical analysis with practical implementation, resulting in solutions that address real-world security and performance challenges. Analysis of his recent publications (2020-2023) reveals a continued focus on mobile security, particularly Android application security, with numerous papers on vulnerability detection, permission analysis, and information leakage prevention. Simultaneously, his work in Network-on-Chip architectures demonstrates sustained interest in fault-tolerant routing algorithms and performance optimization for multi-core systems. The interdisciplinary nature of his research, bridging security and architecture concerns, represents a distinctive contribution to the field. Dr. Gaur has mentored numerous students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and architectural challenges. His collaborative approach is evident in the diverse set of co-authors spanning multiple continents, reflecting international recognition of his expertise.

Timothy Tzen Vun Yapمشاهده پروفایل

استادیار

• System Identification
• Blockchain Technology
• Data Engineering
• +۳ مورد دیگر

Dr. Timothy Tzen Vun Yap is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University Malaysia. Previously, he served as Senior Lecturer and Chair of the Center for Big Data and Blockchain Technologies at Multimedia University. He holds a PhD in Engineering from Multimedia University's System Identification and Control Group. His research focuses on blockchain technology, machine learning, data engineering, and system identification, with emphasis on consensus mechanisms, Sybil resistance in blockchain networks, and sentiment/aspect modeling. His research interests span technical domains including spyware detection, network security, educational data mining, and cryptocurrency efficiency. Notable contributions include advancements in Bitcoin block propagation, dataset curation for malware classification, and machine learning applications in intrusion detection systems. He has also explored the intersection of machine learning and healthcare, such as predictive modeling for breast cancer risk factors. His publications reflect a trend toward interdisciplinary solutions, blending cybersecurity with machine learning and applying data science to societal challenges like tourism and education. Collaborations often target practical implementations of theoretical models, such as optimizing blockchain protocols or improving real-time network traffic analysis. Though no formal awards are listed, his prolific output (59+ research outputs) and diverse collaborations underscore his active role in academic and applied research. His work contributes to UN Sustainable Development Goals through technological solutions addressing education equity, healthcare accessibility, and secure digital infrastructure.

Marko Porjazoskiمشاهده پروفایل

استاد

• Telecommunications
• Network Security
• Quality of Service (QoS)
• +۶ مورد دیگر

Marko Porjazoski is a Professor at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, Macedonia. His academic roles include Professor (2021–present), Associate Professor (2017–2021), and Assistant Professor (2012–2017). He holds a Ph.D. in Telecommunications (2012), M.Sc. (2006), and Dipl.Ing. (2000) from the same institution. His research focuses on telecommunications, wireless networks, Quality of Service (QoS), LTE/LTE-Advanced, and network security. He has authored over 20 peer-reviewed publications, including works on network forensics, OTT billing systems, and interference coordination in LTE. His teaching spans undergraduate and postgraduate courses in network forensics, telecommunications services, and smart society ICT solutions. He leads projects on network performance analysis and security, with recent work emphasizing cloud-based video streaming and deep learning for cybersecurity. Education: Ph.D. in Telecommunications, 2012 M.Sc. in Telecommunications, 2006 Dipl.Ing. in Electronics and Telecommunications, 2000 Research Interests: Wireless network optimization, LTE/LTE-Advanced QoS management for video/OTT services Network forensics and cybersecurity Radio access technology selection Key Contributions: Developed a Service Quality Testing System for mobile networks Proposed architectures for OTT billing systems Analyzed fractional frequency reuse in LTE Designed algorithms for heterogeneous network performance Labs/Teams: Telecommunications Institute at FEIT.

Harshvardhan Takawaleمشاهده پروفایل

پژوهشگر

• Wearable Sensing
• Acoustics
• Multimodal Imaging
• +۷ مورد دیگر

Harshvardhan Takawale is a third-year Computer Science PhD student at the University of Maryland College Park, affiliated with the iCoSMoS Lab under Prof. Nirupam Roy. He has previously worked as a Lead Researcher at Silence Laboratories Singapore and interned at Nokia Bell Labs UK and Cambridge. Education: B.E. in Computer Science from BITS Pilani (2020), currently pursuing PhD at UMD. Research Interests: Focus on enabling acoustic and RF sensing on low-power wearable platforms, gesture/micro-motion detection for smart environments, and physics-informed ML for context-aware systems. His work bridges hardware constraints with advanced inference for ubiquitous healthcare and mobility services. Recent Publications: Contributions to wearable interfaces (Scribe), auditory attention detection on earables, and low-power acoustic event sensing highlight his expertise in multimodal systems and signal processing. Earlier works span cybersecurity (malware detection), NoC fault tolerance, and continuous authentication. Scientific Awards: Dean's Fellowship at UMD Computer Science (2022, 2023). Roles & Projects: Interned at Nokia Bell Labs on earable-based attention detection; led Silence Laboratories' projects on co-location authentication (>92% accuracy) and landmark extraction for proof-of-visit. Also served as Publicity Chair for HumanSys 2024.

Martina Lindorferمشاهده پروفایل

دانشیار

• Systems Security
• Privacy
• Mobile App Analysis
• +۵ مورد دیگر

Martina Lindorfer is an Associate Professor in the Security and Privacy Research Unit at TU Wien, leading the Secure Systems Lab (SecLab). She is also a key researcher at SBA Research. Her expertise spans systems security, privacy, mobile app analysis, and malware research. Prior to her current role, she was a Postdoc at UC Santa Barbara under Christopher Kruegel and Giovanni Vigna. Lindorfer holds a PhD from TU Wien (2016) with honors, and has received awards including the ERCIM Cor Baayen Award (2018) and the ACM Early Career Award (2020). She advises students on topics like IoT security and privacy, and contributes to academic service roles like Program Co-Chair for ACSAC and WOOT. Education: PhD in Computer Science (2016, TU Wien), Master's in Software Engineering (TU Wien), Bachelor's in Computer and Media Security (Hagenberg). Research focuses on mobile and IoT security, privacy protections, and APT analysis. Her team has published impactful work on topics like Android security models, iOS permission systems, and smart TV vulnerabilities. Awards highlight her contributions to cybersecurity research, including recognition for work on HbbTV privacy (Best Dutch Cyber Security Paper, 2024) and early-career excellence. Lindorfer also engages in outreach, mentoring, and policy discussions around digital humanism and academic cloudification risks. Labs/Teams: Heads the SecLab at TU Wien, collaborates with SBA Research, and leads projects like the TU Wien Cybersecurity Center (CySec). Active in organizing conferences and mentoring students through initiatives like the Austria Cyber Security Challenge.

Sharath Kumar Jagannathanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Data Privacy
• +۷ مورد دیگر

Dr. Sharath Kumar Jagannathan is an Assistant Professor at the Data Science Institute, Frank J. Guarini School of Business, Saint Peter’s University, New Jersey. He holds a Ph.D. in Computer Science (VIT Chennai) and expertise in AI, machine learning, and data privacy. As Director of the Ph.D. Program and Operation Lead for the Microsoft Academic Initiative Team, he bridges academia and industry, specializing in privacy preservation in social networks, AI-driven solutions, and big data technologies. His academic journey includes roles at VIT University and the University of Melbourne, with research published in Scopus-indexed journals and IEEE conferences. He has authored books like Artificial Intelligence – Origin, Trends and Applications and contributed chapters to Elsevier’s Next-Generation Cyber-Physical Microgrid Systems . His work spans fraud detection, energy storage systems, and mental health analysis via social media. Dr. Jagannathan has earned awards including the 2023 Outstanding Thesis Award and Research Excellence Awards. His teaching portfolio includes courses like Data Visualization and Machine Learning , and he mentors students on projects blending theory and practical problem-solving. His leadership extends to organizing academic events and workshops on emerging technologies. Notable contributions include patents on IoT-based health devices and AI-driven stock market tools, reflecting his commitment to innovation. He actively reviews manuscripts for journals like Information Discovery and Delivery and conferences like IEEE ICRTAC, further cementing his influence in data science and privacy research.

• Data Security
• Privacy Protection
• Blockchain Security
• +۲ مورد دیگر

Elena Ferrari is Professor of Computer Science at the University of Insubria and research leader at STRICT SociaLab, recognized for significant contributions to data security and privacy. She received the 2021 SIGSAC Outstanding Contributions Award for her pioneering work in security technologies. Her research develops privacy-preserving frameworks for emerging technologies including blockchain systems, edge computing environments, human digital twins, and IoT networks. Current projects address malware detection, metadata leakage prevention, decentralized learning security, and privacy-aware access control. Publications demonstrate consistent innovation in security mechanisms for complex systems. Recent work features blockchain-based malware containment, context-aware privacy enforcement, and edge computing security solutions. Ferrari has chaired major security conferences and contributes to advancing privacy-preserving computation. No student advising details or laboratory affiliations are documented in available sources.

• Computer Security
• Mobile Security
• Network Security
• +۶ مورد دیگر

Georg Merzdovnik is a Lecturer at Vienna University of Technology (TU Wien) with a focus on computer security and privacy . His work spans binary rewriting, web privacy, IoT security, and Android application analysis, reflected in publications in top venues like ACM Computing Surveys and IEEE Euro S&P. He actively supervises student research projects in security-related domains. Primary Affiliation: Vienna University of Technology (TU Wien) Research Interests include: Binary rewriting and obfuscation techniques Web privacy mechanisms post-GDPR IoT device security in IPv6 networks Mobile application threat analysis Malware detection in Windows shellcodes Evaluation of tracker-blocking tools Thesis Supervisions (2012–2024) cover topics like IoT testbeds, Android intent firewalls, and secure messaging services.

• Mobile Security
• Cross-Platform Analysis
• iOS/Android Ecosystems
• +۳ مورد دیگر

Magdalena Steinböck is a PreDoc Researcher at Vienna University of Technology (TU Wien), affiliated with the Security and Privacy research group (E192-06). She holds a Dipl.-Ing.in (Master's equivalent) and BSc in technical disciplines. Her research focuses on mobile ecosystem security , particularly cross-platform analysis of iOS and Android systems, including deep link security, local network permissions, and vulnerability mitigation strategies. Current research projects: IoTIO (2020–2025) , W4MP (2023–2027) Active contributor to software repository mining (MSR 2024 conference paper) Her technical work spans mobile application analysis frameworks, security hardening comparisons, and user-centric permission system evaluations. She has published on iOS/Android ecosystem differences and cross-platform app matching methodologies.

Alepis Efthimiosمشاهده پروفایل

دانشیار

• Object-Oriented Programming
• Mobile Applications
• Human-Computer Interaction
• +۳ مورد دیگر

Alepis Efthimios serves as an Associate Professor in the Department of Informatics at the University of Piraeus' School of Information and Communication Technologies. Appointed Lecturer in 2010, promoted to Assistant Professor in 2013, and elevated to Associate Professor in 2020, he specializes in object-oriented programming within software technology applications. Education: PhD in Informatics, University of Piraeus (2009) His research spans object-oriented programming, smart mobile device applications, human-computer interface design, educational software development, and Android security systems. With over 90 publications across international journals, book chapters, and conferences, his work emphasizes practical implementations in mobile computing and educational technology frameworks. He actively teaches postgraduate courses and has served on the academic staff of the Hellenic Open University since 2012, contributing to distance education initiatives in computing disciplines.