جستجوی استاد راهنمای دانشگاهی

Kian Pokornyمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Data Science
• +۱ مورد دیگر

Kian Pokorny serves as Professor of Computing at McKendree University, maintaining an office in Clark Hall 200 with contact phone (618) 537-6440. His academic foundation includes a Ph.D. from Louisiana Tech and dual degrees (M.S., B.S.) from Central Missouri State University. Education background: Ph.D., Louisiana Tech M.S., Central Missouri State University B.S., Central Missouri State University His research spans Artificial Intelligence , Soft Computing , Data Science , and Computer Science Education , driven by the philosophy: "My highest priority as an educator is to produce lifelong learners with strong critical thinking skills. This I hope to accomplish by creating a non-threatening, student-centered environment within my classroom that allows students to achieve the highest possible levels of learning." This commitment manifests in curriculum innovations and educational tool development. Analysis of his 15 most recent publications reveals consistent focus on computer science pedagogy evolution. Key trends include: integration of data science into traditional curricula (2022), machine learning applications for institutional analysis (2021), and sustained development of the Frances tool suite for computer architecture education (2009-2012). His work bridges theoretical computer science with practical educational implementation, demonstrating particular strength in constraint satisfaction problems and fuzzy logic applications. Scientific recognition: ACI Grant for Intelligent Tutoring Systems Design: An Empirical Approach (2005-2006) While specific student advisees aren't documented, his extensive publication record in educational methodology suggests significant mentorship impact. The ACI grant specifically supported research into adaptive learning systems, indicating early recognition of his contributions to educational technology innovation. No laboratory facilities or research teams are referenced in available materials.

Shing-Chi Cheungمشاهده پروفایل

استاد

• Software Engineering
• Program Analysis
• Software Testing
• +۷ مورد دیگر

Shing-Chi Cheung is a Professor of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), School of Engineering. He founded the CASTLE research group and co-founded the International Workshop on Automation of Software Testing (AST) in 2006. His leadership includes serving as General Chair of FSE 2014 and chairing multiple APSEC conferences. His research focuses on software quality enhancement through program analysis, testing, debugging, and AI techniques, targeting Android apps, open-source software, deep learning systems, smart contracts, and spreadsheets. Current projects include metamorphic testing frameworks, binary analysis tools, and vulnerability detection systems for emerging technologies. His publication portfolio demonstrates consistent contributions to software engineering since 2016, with recent work emphasizing AI-integrated testing methodologies, smart contract security, and deep learning system reliability. Key trends show increasing focus on cross-language analysis, data visualization quality, and compiler-level verification for modern software stacks. Distinguished Member of the ACM Fellow of the British Computer Society Editorial board member: Science of Computer Programming (SCP), Journal of Computer Science and Technology (JCST) Former editorial board member: IEEE Transactions on Software Engineering (2006-2009), Information and Software Technology (2012-2015) Four patents in China and the United States Cheung actively mentors through the CASTLE research group and serves on program committees for major conferences including ICSE, ESEC/FSE, and ISSTA. His work bridges academic research with practical applications through industry collaborations and tool development. He has contributed to numerous workshops and symposia as steering committee member and program chair.

Zhiyun Qianمشاهده پروفایل

استاد

• System Security
• Network Security
• Vulnerability Analysis
• +۵ مورد دیگر

Zhiyun Qian is the Everett and Imogene Ross Professor in the Department of Computer Science and Engineering at the University of California Riverside. His research bridges academic security research with practical hacking techniques, focusing on vulnerability discovery and analysis across operating systems, networks, and mobile platforms. His primary research interests include: System security: Automated cyber attacks/defenses, kernel vulnerability discovery, and security tool development Network security: TCP side channels, multi-path TCP flaws, and firewall evasion techniques AI/ML applications for security: LLM-integrated static analysis and reinforcement-learning-based fuzzing His work has led to critical discoveries including unfixable TCP side channel vulnerabilities (CVE-2016-5696) recognized with GeekPwn awards. His research methodology combines program analysis, reverse engineering, fuzzing, model checking, and machine learning to build practical security systems. Notable scientific awards include: GeekPwn 2016 most creative idea award Geekpwn 2017 winner award Applied Networking Research Prize Professor Qian actively mentors students in security competitions including Pwn2Own and GeekPwn. He serves on prestigious program committees including IEEE Security and Privacy (Oakland), ACM CCS, and USENIX Security. His teaching portfolio includes graduate courses CS 254 (Network Security) and CS 255 (Computer Security), along with undergraduate courses CS 153 (Operating Systems) and CS 165 (Computer Security). He leads the SecLab research group at UCR (GitHub: seclab-ucr, 3824★) developing security tools for kernel and Android ecosystems. Current projects focus on LLM-enhanced static analysis, precise vulnerability detection, and automated patch testing.

Yao Wanمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Software Engineering
• Natural Language Processing
• +۳ مورد دیگر

Yao Wan is an Associate Professor at the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST) in Wuhan, China. He leads the ONE Lab, focused on empowering machines to interact with the physical world through unified natural language interfaces (Language + X paradigm). He obtained his Ph.D. from Zhejiang University and has research visiting experience at Chinese University of Hong Kong, University of Technology Sydney, and University of Illinois Chicago. His research bridges Artificial Intelligence and Software Engineering, with core interests in: Natural Language Processing for code intelligence Large Language Model applications Multimodal learning across code, vision, and UI domains Program analysis and code generation Software engineering automation His publications demonstrate strong focus on applying transformer-based models to software engineering challenges, with recent work expanding into multimodal applications. Research spans code model security, GUI generation, data visualization, and compiler understanding, predominantly using deep learning approaches. Awards: IEEE TCSE Distinguished Paper Award for SANER 2025 publication He actively mentors students through the ONE Lab and serves on program committees for top conferences including ASE, ISSTA, and ICSE. He is seeking highly-motivated undergraduate researchers to join his team. The ONE Lab conducts cutting-edge research at the intersection of programming languages and artificial intelligence, with ongoing projects in code intelligence, multimodal learning, and LLM applications for software engineering.

Soner Onderمشاهده پروفایل

استاد

• Computer Architecture
• Processor Design
• Memory Systems
• +۳ مورد دیگر

Soner Onder is a Professor in the Department of Computer Science at Michigan Technological University, with an affiliated appointment in the Electrical and Computer Engineering department. His work focuses on computer architecture, programming languages, and simulation techniques, contributing significantly to processor design and memory systems research. Dr. Onder received his PhD in Computer Science from the University of Pittsburgh in 1999. His academic career has established him as a leading researcher in computer architecture with publications spanning two decades in top-tier conferences. Dr. Onder's research spans multiple areas of computer architecture and compiler design, with emphasis on processor design, memory systems, and compiler optimizations. He has made significant contributions to memory disambiguation techniques, branch prediction mechanisms, and energy-efficient processor designs. His work often bridges hardware and software domains, exploring how compiler techniques can better exploit architectural features. Recent research focuses on memory dependence prediction, recovery mechanisms for mispredictions, and energy-efficient data access patterns, with his "Future Gated Single Assignment Form" representing an innovative approach to program representation that bridges compiler design and architectural support. US Patent 7747993: Methods and systems for ordering instructions using future values (2010) Dr. Onder has advised numerous PhD students to completion, including Scott Pomerville (2024), Gorkem Asilioglu (2020), Omkar Javeri (2020), and Zhaoxiang Jin (2018). His research has been supported by grants including "Statically Controlled Asynchronous Lane Execution (SCALE)" and "Vectorized Instruction Space (VIS)" projects. He developed the FAST (Flexible Architecture Simulation Tool) for architectural research and continues to lead an active research program with publications appearing in top-tier venues through 2018. Dr. Onder leads research in computer architecture with a focus on practical implementations. His FAST simulation tool provides a flexible platform for testing architectural innovations. His work often involves collaboration with both compiler researchers and hardware designers to create holistic solutions to performance bottlenecks in modern processors, demonstrating the interdisciplinary nature of his research that bridges hardware and software concerns in computer system design.

Hwa Cheon Leeمشاهده پروفایل

مدرس

• Korean culture
• Korean literature
• Language Education
• +۱ مورد دیگر

Hwa Cheon Lee serves as a Lecturer in the Korean Department at Boğaziçi University, Türkiye, teaching Korean language courses continuously since 2010 while pursuing doctoral studies. Their work bridges academic instruction with practical cultural transmission to Turkish learners. Educational background includes: Ph.D. (expected 2025) in Korean Language and Literature, Erciyes University, Türkiye M.A. in Education Engineering, Sookmyung Woman’s University, South Korea (2014) B.A. in Economics, Boğaziçi University, Türkiye (1999) Lee's research centers on Korean culture and literature, manifested through pedagogical innovations that make Korean accessible to Turkish speakers. The integration of cultural context within language instruction forms the cornerstone of their approach, enabling students to grasp both linguistic structures and societal nuances. Publications reveal a consistent focus on practical language acquisition tools, with multiple editions of Korece Öğreniyorum 1&2 evolving to meet learner needs, alongside the proverb compilation Kore Atasözleri which bridges linguistic study with cultural wisdom. These works collectively emphasize structured progression from basic grammar to cultural literacy. As an educator, Lee has facilitated significant student outcomes through the Global Korea Scholarship Program (GKS), with nearly annual selections of students for advanced study in South Korea since 2012. This success stems from tailored instructional methods that prepare learners for immersion experiences and academic pursuits.