جستجوی استاد راهنمای دانشگاهی

Gianluca Bontempi is a Professor in the Department of Computer Science at the Université Libre de Bruxelles (ULB), Faculty of Sciences. His research spans machine learning, time series forecasting, and big data analytics, with significant applications in credit card fraud detection, biomedical engineering, and causal inference. He leads projects on adaptive learning systems, financial cybersecurity, and high-dimensional data modeling. Research Focus: Bontempi's work integrates theoretical machine learning with real-world challenges. Key areas include: Developing dynamic factor models for multivariate time series forecasting Designing incremental learning frameworks for fraud detection in evolving data streams Advancing causal inference methods for personalized decision-making Creating interpretable AI systems for biomedical and financial applications Publication Trends: His recent articles (2019–2026) show a strong emphasis on combating concept drift in financial fraud systems, improving fairness in feature selection, and enhancing cross-domain adaptation techniques. Methodological innovations in multi-task learning and adversarial modeling are recurrent themes. Awards & Recognition: No awards explicitly mentioned in the source text. Research Infrastructure: Bontempi collaborates with interdisciplinary teams across Europe on large-scale projects involving biomedical data (TCGAbiolinks), urban mobility (traffic forecasting), and AI ethics (CLAIRE COVID-19 initiative).

• Machine Learning
• Time Series Forecasting
• Credit Card Fraud Detection
• +۳ مورد دیگر

Miloš Stanković is a Professor at the Faculty of Informatics and Computing, Singidunum University. His research focuses on distributed systems, reinforcement learning, machine learning applications, and sensor networks. He has contributed significantly to areas like multi-agent systems, optimization algorithms, and cybersecurity. Recent work includes distributed sensor network calibration, adaptive consensus algorithms, and AI-driven solutions for healthcare and infrastructure monitoring. Education: Not explicitly listed in provided texts. Likely holds advanced degrees in computer science or electrical engineering based on his publications. Research Interests: His primary areas include distributed multi-agent reinforcement learning, metaheuristic optimization for machine learning models, and real-world applications of AI in healthcare, surveillance, and smart infrastructure. He explores topics like sensor fusion, fault detection in networks, and consensus-based algorithms for decentralized systems. Article Trends: Recent publications emphasize AI-driven solutions (e.g., Parkinson’s disease detection via LSTM tuning, student dropout analysis with explainable AI) and distributed algorithms for multi-agent systems. His work bridges theoretical advancements in reinforcement learning with practical applications in sensor networks and cybersecurity. Grants/Projects: Not explicitly detailed, but involvement in EU-funded projects like Sinteza and SITCON conferences suggests external funding. Labs/Teams: Likely part of Singidunum’s research groups in AI, distributed systems, and cybersecurity. Collaborates with institutions like KTH Royal Institute of Technology (via co-author K.H. Johansson) on sensor networks and control systems.

• Machine Learning
• Distributed Systems
• Sensor Networks
• +۷ مورد دیگر

Prof. Turhan TUNALI is a distinguished Professor in the Department of Computer Engineering at Izmir University of Economics' Faculty of Engineering. With a Ph.D. in Nonlinear Control Systems from Washington University in Saint Louis (1985), his academic career spans over three decades since beginning as an Assistant Professor at Ege University in 1986. Ph.D. - Nonlinear Control Systems, Washington University in Saint Louis (1985) M.S. - Applied Statistics, Ege University (1980) B.S. - Electrical Engineering, Middle East Technical University (1978) Professor TUNALI's research focuses primarily on computer networks, with specialized expertise in video streaming systems, optical networks, and intelligent transportation systems. His work bridges theoretical networking principles with practical implementations in multimedia delivery and transportation applications. He has made significant contributions to peer-to-peer video streaming architectures, bandwidth adaptation algorithms, and optical network resilience strategies. His research demonstrates a consistent trajectory from foundational network protocols to advanced multimedia delivery systems. Analysis of his 15 most recent publications reveals a strong concentration in networked multimedia systems, particularly peer-to-peer video streaming technologies and optical network architectures. His work shows evolution from basic streaming protocols to sophisticated hierarchical clustering frameworks, backup strategies for resilient networks, and security implementations for scalable video coding. The publications span high-impact journals including IEEE Access, Signal Processing: Image Communication, and Computer Standards and Interfaces. Professor TUNALI has served as Editor for the Turkish Journal of Electrical Engineering and Computer Sciences (2015-2016) and has contributed to TÜBİTAK projects. His research has been supported by various funding mechanisms, though specific grants are not detailed in the provided information. He has supervised an impressive 20 graduate students to completion, including 11 PhD candidates and 9 master's students, primarily at Ege University. His advisees have pursued research in areas including video streaming, optical networks, intelligent transportation systems, and healthcare information systems, reflecting his broad research influence. Professor TUNALI maintains an active research laboratory focused on networked multimedia systems, with particular emphasis on resilient video delivery architectures and intelligent transportation applications. His current work appears to be investigating advanced optical networking strategies and next-generation video streaming technologies.

• Computer Networks
• Video Streaming
• Multimedia Systems
• +۴ مورد دیگر

Stephen Huang is Professor of Computer Science at the University of Houston's College of Natural Sciences and Mathematics. He directs the Center for Cybersecurity Research and has held administrative roles including Department Chairman and Director of Graduate Studies. He received his PhD in Computer Science from the University of Texas-Austin and served as National Research Council-NASA Senior Research Associate at NASA Goddard Space Flight Center. His 40+ year career encompasses cybersecurity research, algorithm design, and academic leadership. Research focuses on intrusion detection systems, malware analysis, network security, and applied algorithms. His work integrates machine learning with security applications, particularly in anomaly detection and behavioral analysis. Recent projects include NSA-funded research on automated intrusion detection through metadata traffic analysis. Publications demonstrate progression from foundational algorithms to advanced AI applications in security. Recent articles focus on VPN detection, Android malware analysis, and large language model interpretability, consistently applying computational theory to cybersecurity challenges. He leads the GAANN Fellowship Program in Cybersecurity and Research Experience for Undergraduates (REU) initiatives. His laboratory develops practical security solutions through collaborations with government agencies and industry partners.

• Cybersecurity
• Intrusion Detection
• Data Science
• +۳ مورد دیگر

Youki Kadobayashi is a Professor at NAIST, specializing in cybersecurity and network engineering. He holds a Ph.D. in Computer Science from Osaka University. His research focuses on Internet infrastructure evolution, cybersecurity education, and standards development. He collaborates with industry and academia on projects like creating technologies for failure recovery and infrastructure co-creation. Research interests include: Internet engineering, web security, cybersecurity education standards, and privacy-preserving systems. His work addresses challenges in smart home security, federated learning for fraud detection, and secure edge computing. Publications span topics like differential privacy, federated learning frameworks, and authentication protocols. He contributes to consortia such as WIDE and organizes competitions like CDMC and Hardening Zero. His lab explores advanced cybersecurity tools and datasets.

• Internet Engineering
• Web Security
• Cybersecurity Education
• +۴ مورد دیگر

Arne Boockmeyer is a PhD Student and Research Assistant at the Hasso Plattner Institute (HPI) in Potsdam since 2020, specializing in digital railway systems and distributed infrastructure validation. He holds an M.Sc. in IT-Systems Engineering from HPI (2017-2020) and a B.Sc. in the same field (2013-2016), with prior industry experience at SAP and miaplaza Inc. His research focuses on Railway Systems Simulation , Distributed Systems Testing , and Digital Infrastructure for Rail Transport , evidenced by 15+ publications between 2019-2025. Key contributions include SUMO-based railway simulation frameworks, PlanPro-to-SUMO conversion pipelines, and wireless safety systems for rail-road intersections. His work bridges academic research with industry applications, particularly with Deutsche Bahn and EULYNX standardization initiatives. Boockmeyer has served as Lecturer for the Digital Rail Summer School annually from 2020-2023 (Master's level). His publication trend shows increasing focus on railway digitalization (70% of 2023-2025 papers), with core methodologies in co-simulation techniques (35%), testbed development (25%), and IoT integration (20%). Teaching and professional activities include: Digital Rail Summer School Lecturer (2020-2023) iOS/Internal Tool Development at miaplaza Inc. (2014-2022) Internship at SAP Vancouver (2016-2017)

• Railway Systems Simulation
• Distributed Systems Testing
• IoT Systems Validation
• +۳ مورد دیگر

Rita Kuo is a Visiting Assistant Professor in the Department of Computer Science and Engineering at New Mexico Institute of Mining and Technology (New Mexico Tech), where she teaches foundational and advanced courses in computer science, including Python programming, object-oriented programming, web development, and human-computer interaction. She holds a Ph.D. in Electronic Engineering from Chung-Yuan Christian University, Taiwan, and has prior academic experience at Mingdao University and Knowledge Square, Inc. Ph.D., Electronic Engineering, Chung-Yuan Christian University (2007) M.S., Information and Computer Engineering, Chung-Yuan Christian University (2002) B.S., Information and Computer Engineering, Chung-Yuan Christian University (2000) Her research focuses on innovative educational technologies, especially game-based learning, mobile and ubiquitous learning, automatic item generation, and intelligent tutoring systems. She explores how gamification, cognitive theory, and AI can enhance student engagement and learning outcomes. Her work integrates computational intelligence with pedagogical design to create adaptive and motivating learning environments. The most recent publications highlight trends in educational game design, learning analytics via Moodle plugins, gamified reward systems, and tools for improving cybersecurity awareness. These works emphasize usability, student engagement, and the integration of cognitive and motivational theories into digital learning platforms. Her scientific contributions have been recognized with awards including the Best Technical Design Paper Award at GCCCE 2018 and an Excellent Paper Award at the International Conference on Technology in Education (2018). Best Technical Design Paper Award, GCCCE 2018 Excellent Paper Award, International Conference on Technology in Education, 2018 Rita Kuo has led and co-led multiple research grants, including projects funded by Google CSR, New Mexico Department of Transportation, and the Computing Research Association. She mentors undergraduate and graduate students in research related to educational technology, gamification, and learning analytics. Her leadership extends to professional service as Vice Chair in Equity, Diversity & Inclusion for IEEE TCLT and Chair of the Educational Gamification SIG in APSCE. She is actively involved in the development of platforms such as GRACE (annotation and clustering), ICER (in-game rewards), and ERIC API, and leads the design of educational games like MEGA World. Her current research emphasizes behavior analytics, mobile learning tools, and inclusive educational technologies.

• Game-based Learning
• Mobile Learning
• Ubiquitous Learning
• +۱۲ مورد دیگر

Manjeevan Singh Seera is an Associate Professor at Monash University Malaysia, School of Business, where he contributes to teaching and research in data analytics and machine learning. He holds a PhD in Computational Intelligence from Universiti Sains Malaysia and is a Certified Professional Engineer (Malaysia) and Chartered Engineer (UK), reflecting his dual expertise in academia and industry. PhD in Computational Intelligence, Universiti Sains Malaysia (2012) His research centers on machine learning applications in financial fraud detection, explainable AI, cyberbullying detection, sustainable energy, and health informatics. He develops intelligent systems for real-time fraud prevention and has pioneered work in microbiome-based cancer detection using AI. His work aligns with UN Sustainable Development Goals, particularly in education, sustainable economic growth, and responsible innovation. Recent publications reveal a strong trend in applying machine learning to societal challenges—ranging from ESG compliance and carbon penalties to deepfake-related child abuse and blockchain regulation in energy. His interdisciplinary work spans finance, healthcare, law, and environmental policy, demonstrating the versatility and impact of data-driven solutions. Certified Professional Engineer (Malaysia) Chartered Engineer (UK) Dr. Seera has secured competitive research grants and leads multiple active projects, including the development of multimodal cyberbullying detection systems for ASEAN languages and legal frameworks for blockchain in Malaysia’s energy sector. He has previously served in industry roles at Bank Negara Malaysia and Intel, bridging academic research with practical implementation. He also contributes to academic governance as an external examiner and peer reviewer. He is actively involved in research labs and collaborative networks focusing on AI for social good, fraud analytics, and sustainable technology. His team works at the intersection of AI, ethics, and policy, aiming to build trustworthy and impactful systems for real-world deployment.

• Machine Learning
• Data Analytics
• Financial Fraud Detection
• +۱۲ مورد دیگر

Simon Carding is a Professor of Mucosal Immunology at Norwich Medical School, University of East Anglia (UEA), and a Research Leader in the Gut Health and Food Safety (GHFS) Programme at the Institute of Food Research. He is also a member of the Norwich Institute for Healthy Aging. His work integrates mucosal immunology, gut microbiology, and host-microbe interactions to understand intestinal health and disease. PhD, MRC Clinical Research Centre, Harrow (1985) Visiting Instructor, NYU School of Medicine (1985–1986) Postdoctoral Associate & Howard Hughes Fellow, Yale University (1986–1991) Assistant/Associate Professor, University of Pennsylvania (1991–1999) Professor of Molecular Immunology, University of Leeds (1999–2008) Professor of Mucosal Immunology, UEA (2008–present) His research centers on mucosal immunology, intestinal microbial tolerance, and the role of host-microbe crosstalk in health and diseases like inflammatory bowel disease (IBD). He investigates autophagy, epithelial barrier function, dendritic cell biology, and the development of engineered Bacteroides for therapeutic delivery. His group also explores immunosenescence, chronic fatigue syndrome, and gut-brain axis interactions. The recent publications highlight a strong trend in bacterial extracellular vesicles, engineered probiotics, gut-brain translocation models, and functional assessment in chronic fatigue. His work often involves interdisciplinary approaches combining immunology, microbiology, bioengineering, and computational modeling. RCUK Grant Review and Advisory Panels (2000–) Grant reviewer for international funding bodies (2008–) Advisory boards for biomedical charities and industry (2000–) Invited speaker at national and international conferences (1990–) Reviewer for international journals (1986–) Simon Carding has supervised postgraduate research students in gut biology, mucosal immunity, and microbiome-related fields. He has secured grants from BBSRC, Innovate UK, and Invest in ME, including projects on viral phagocytosis, chronic fatigue, and bacterial vesicle vaccines. He founded Ovatus Ltd., a spin-out company with UK and international patents, demonstrating strong enterprise engagement. He leads the GHFS Programme, comprising 13 research groups and around 60 scientists, focusing on gut epithelial physiology, microbiome, immunity, and food safety. The programme integrates experimental and computational approaches to advance gut health research.

• Mucosal Immunology
• Gut Biology
• Inflammatory Bowel Disease (IBD)
• +۱۴ مورد دیگر

FH-Prof. Univ.-Doz. Dipl.-Ing. Dr. Ernst Piller is a Professor for IT-Security and Cryptography at the Department of Computer Science and Security, St. Pölten University of Applied Sciences, since 2007. He also serves as Head of the Institute for IT Security Research since 2009 and has held various leadership roles in IT security firms and academic institutions. Institute of IT Security Research Department of Computer Science and Security Study programs: IT Security (BA), Digital Innovation and Research (MA), Information Security (MA), Smart Engineering (BA) Research Interests: Dr. Piller's work focuses on IT Security, Cryptography, Cybersecurity, and Information Security. His research extends to practical applications in digital innovation, smart engineering, and secure systems development. Professional Roles: He has been a court surveyor for IT Security since 2000 and held leadership positions in companies such as Smart-ID e.U., Winter AG, CZS GmbH, and Austria Card GmbH. His career spans academic and industrial domains, blending theoretical and applied expertise in IT security. Contact: ernst.piller@fhstp.ac.at | Mobile: +43/676/847 228 636

• IT Security
• Cryptography
• Cybersecurity
• +۳ مورد دیگر

Aleksandar Jurišić is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he serves as Head of the Laboratory for Cryptography and Computer Security. He also maintains an affiliation with the Institute of Mathematics, Physics and Mechanics (IMFM) in Ljubljana and occasionally teaches at the Faculty of Mathematics. His educational background includes: B.A. from University of Ljubljana (1987), working under Joze Vrabec on topology applications in combinatorics M.Sc. (1990) and Ph.D. (1995) from University of Waterloo, working under Chris Godsil in algebraic combinatorics Jurišić's research interests focus on Algebraic Combinatorics, Cryptography, and Algorithmic Number Theory . His work bridges theoretical mathematics with practical security applications, particularly in elliptic curve cryptography and finite field implementations. He has made notable contributions to understanding mathematical phenomena like the Mercedes knot problem, which connects everyday observations with advanced mathematical concepts. His publications demonstrate a consistent focus on cryptographic implementations, particularly for resource-constrained environments like smart cards. His research spans theoretical mathematics (knot theory, combinatorics) to applied cryptography, showing how abstract mathematical concepts can solve practical security problems. Among his scientific recognitions , he received the Hasse Prize for his paper 'The Mercedes knot problem' published in American Mathematical Monthly. In 2005, he co-founded the Slovenian Society of Cryptology, demonstrating leadership in establishing cryptography as a field in Slovenia. As an educator and mentor , Jurišić has supervised over 25 diploma theses, 4 master's theses, and 1 PhD dissertation. His courses include Probability and Statistics, Cryptography and Computer Security, and Introduction to Probability and Statistics. He has led numerous educational projects focused on e-content development for mathematics and cryptography education. He leads the Laboratory for Cryptography and Computer Security , which has been involved in multiple Structural Funds projects including PKP series (e-content in education), NA-MA POTI (mathematical literacy), and ŠIPK 1 (Cryptogram - a portal for cryptography and computer security).

• Algebraic Combinatorics
• Cryptography
• Algorithmic Number Theory
• +۴ مورد دیگر

Dr. Budi Arief is a Senior Lecturer at the University of Kent's School of Computing, where he serves as Innovation Lead at the Institute of Cyber Security for Society (iCSS) and REF co-ordinator. His research focuses on cybercrime and computer security, particularly ransomware, IoT security, and combating child sexual abuse, with additional work in dependability, wireless sensor networks, distributed systems, and open source software. His research interests span: Core Security: Ransomware analysis, dark web markets, IoT vulnerabilities Interdisciplinary Studies: Psychological profiling of cybercrime victims, societal impacts of cyber threats Emerging Tech: AI/LLM applications in security analysis and vulnerability detection Recent publications (2021-2025) predominantly address ransomware dynamics, dark web ecosystem security, and AI-driven security tools. Key trends include empirical analysis of attack vectors, human behavioral factors in cybercrime, and critical evaluations of security mechanisms in decentralized systems. Funded Projects: UK EPSRC: EconoMical, PsycHologicAl and Societal Impact of RanSomware (EMPHASIS) (2017-2019) EU H2020: Novel Strategies to Fight Child Sexual Exploitation (HEROES) (2021-2024) UK EPSRC: Countering HArms caused by Ransomware in IoT (CHARIOT) (2023-2026) EU ISF: Child-protection strategies against sexual abuse (ALUNA) (2023-2025) UK Dstl/FNC: Playing Cyber Security Games (2023) UK VeTSS: Symbolic Computation for Verification (2021-2022) 15+ additional grants spanning IoT security, privacy tools, and cyber defense (2012-2017) He leads the Cyber Security Group and oversees research initiatives at the Institute of Cyber Security for Society (iCSS) , focusing on interdisciplinary cybersecurity solutions. Actively recruits PhD candidates for security-related research.

• Cybercrime
• Computer Security
• Ransomware
• +۷ مورد دیگر

Sarah Jane Hughes is a Professor and University Scholar in Commercial Law at Indiana University Maurer School of Law. She teaches courses including Sales, Negotiable Instruments, Secured Transactions, and Banking Law, and supervises the semester externship program in Washington, DC. Professor Hughes earned her A.B. cum laude from Mount Holyoke College in 1971 and her J.D. from the University of Washington in 1974, where she served on the board of editors for the Washington Law Review. Professor Hughes is a nationally recognized expert in payment systems, including domestic, international, Internet banking, smart cards, wire transfers, checks, embezzlement, and credit cards. Her expertise also extends to public and private methods to deter, detect, and prosecute domestic and international money laundering, as well as consumer protection and financial privacy. She has served as Attorney-Advisor at the Federal Trade Commission Bureau of Consumer Protection (1974-1988) and has been a Reporter for the Standing Committee on Payments Systems, Permanent Editorial Board for the Uniform Commercial Code since 2003. She is an elected member of the American Law Institute (2000-present) and serves on the American Bar Association liaison to the Money Services Act Drafting Committee. Professor Hughes' recent scholarly work focuses on virtual currencies, blockchain technology, and the evolving regulatory landscape for electronic payments. Her publications demonstrate a consistent trend toward examining the intersection of emerging financial technologies with traditional legal frameworks, particularly in the areas of consumer protection, money laundering prevention, and cybersecurity. She has been particularly active in analyzing regulatory approaches to cryptocurrencies at both state and federal levels, including her work as Reporter for the Uniform Regulation of Virtual Currency Business Act. Professor Hughes has received several prestigious awards for her teaching excellence: Leon Wallace Teaching Award (1993) Gavel Award (1996, 1997, 2000) As Faculty Supervisor and Instructor for the Washington DC Semester Program since Fall 2013, Professor Hughes has mentored numerous law students through externships in the nation's capital. She has provided expert testimony before Congressional committees on consumer protection issues in mobile payments and the present and future impact of virtual currency. Professor Hughes is actively involved in professional organizations including the American Bar Association's Cyberspace Law Committee, where she co-chairs the Working Group in Electronic Payment Services, and the Business Law, Antitrust and International Law Sections. Her work bridges academic scholarship with practical legal application in the rapidly evolving field of financial technology regulation.

• Virtual currencies
• Payments
• Commercial law
• +۷ مورد دیگر