جست‌وجوی استاد و پژوهشگر

• Computer Engineering
• Internet of Things (IoT)
• Human-Computer Interaction
• +۷ مورد دیگر

Diјana Stoјić is a Lecturer at the Department of Computer and Software Engineering , Faculty of Technical Sciences Čačak , affiliated with the University of Kragujevac . She holds a Master's degree in Computer Engineering and is currently pursuing her PhD in Electrical and Computer Engineering at the same faculty. Her academic role involves teaching subjects such as Programming Languages, Human-Computer Interaction, and Visual Programming. Born: March 7, 1988, in Foča, Bosnia and Herzegovina Education: Primary (Vuk Karadžić School, Čačak), Technical School in Čačak (Computer Engineering), BSc and MSc from the Technical Faculty in Čačak Her research interests span Computer Engineering , Internet of Things (IoT) , Machine Learning , and Human-Computer Interaction . Recent publications highlight her work in artificial neural networks , augmented reality applications , and image classification for agricultural and medical purposes. She has contributed to projects like the TR32043 project on low-power systems and the DeSKoll project on German-Serbian language resources. Notable scientific awards include: Award for Best First-Year Student in Electrical Engineering (Technical Faculty in Čačak) Scholarship from the Ministry of Education, Science, and Technological Development (2013-2017) Her grant involvement includes participation in the TR32043 project (2011-2019) and the DeSKoll project (2024-2025). She has also collaborated on lab experiments and remote engineering education initiatives during the pandemic.

Xiaoning Duمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Dr. Xiaoning Du is a Senior Lecturer (equivalent to Associate Professor) at the Department of Software Systems and Cybersecurity, Faculty of Information Technology, Monash University. She completed her PhD at Nanyang Technological University (2020) and bachelor’s at Fudan University (2014). Education: PhD, Nanyang Technological University (2020) Bachelor’s, Fudan University (2014) Her research bridges program analysis , formal methods , and AI-assisted software systems , focusing on security and quality assurance. Key contributions include tools like Devign , BigCodeBench , DeepStellar , and SimPy . Recent publications (2023-2025) span neural code generation evaluation , deep learning testing , and code dataset security , appearing in venues like ICLR, FSE, ISSTA, ICSE, and USENIX Security. Awards: 2024 Google Research Scholar 2023 FIT Dean’s Early Career Award ACM SIGSOFT Distinguished Paper (ISSTA'24) ICLR Oral Presentation (2025) Grants: 2021-2023 FIT ECR Seed Grants She actively serves on program committees including ICSE 2025 , ISSTA 2025 , and FSE 2026 , and mentors PhD students via full scholarships at Monash.

• Sustainability in Computing
• Energy Efficiency
• Software Engineering
• +۱۲ مورد دیگر

Wellington De Oliveira Junior is an Assistant Professor at the Faculty of Sciences, University of Lisbon, where he contributes to teaching and research in Computer Science. His work bridges software engineering with sustainability and digital security, with a focus on energy efficiency in computing systems. Education: PhD in Computer Science, Federal University of Pernambuco (2021) Master in Computer Science, Federal University of Pernambuco Bachelor in Computer Science, Federal University of Pernambuco Master in Management Sciences (partial), University of Liège His research interests center on sustainability in computing , energy efficiency , software quality , and security in mobile applications , particularly within Android systems. He explores topics such as energy-aware programming, software performance analysis, and secure mobile development frameworks. His work often intersects technology with sustainable development goals. The recent publications highlight a strong trend in energy-conscious software development , mobile app efficiency , and containerized system monitoring . These works span empirical studies in Java collections, Android development models, and computation offloading, reflecting a consistent focus on optimizing resource usage in software systems. Scientific Contributions: Supervised 4 master's dissertations Co-advised 2 master's students Active researcher in projects involving PhD, master's, and postdoctoral fellowships Published in high-impact journals and conferences in software engineering and systems architecture Wellington has played a significant role in advancing research at the intersection of software engineering and sustainable computing. His advising and project involvement demonstrate a commitment to nurturing academic talent and contributing to impactful technological innovation.

Sebastian Canzlerمشاهده پروفایل

پژوهشگر

• Computational Systems Biology
• Multi-omics Data Analysis
• Systems Toxicology
• +۵ مورد دیگر

Dr. Sebastian Canzler is the Head of the Computational Systems Biology group at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He is affiliated with the Department of Computational Biology & Chemistry and contributes to projects such as multiGSEA software development, XomeTox, and chemical grouping frameworks. Education: Diploma & PhD in Bioinformatics (University of Leipzig, 2011 & 2017) Professional Roles: PostDoc (University of Leipzig, 2017); PostDoc & Head (UFZ, 2018–Present) Research Interests: His work focuses on multi-omics data integration for chemical risk assessment, pathway enrichment analysis, single-cell transcriptomics in systems toxicology, and development of FAIR data management practices. He specializes in refining adverse outcome pathways (AOP) and applying explainable AI to predict chemical effects. Scientific Trends: Recent publications emphasize thyroid toxicity mechanisms, retinal organoid modeling, and computational frameworks for evaluating chemical mixtures. His software tools (multiGSEA, ProteinPrompt) address pathway analysis and protein interaction prediction. Collaborations: Works with Prof. Jörg Hackermüller, Prof. Martin von Bergen, and teams across bioinformatics, ecotoxicology, and exposure science.

• Speech Recognition
• Data Augmentation Techniques
• Signal Processing
• +۳ مورد دیگر

Prof. Jovan Galić is an Associate Professor at the Faculty of Electrical Engineering, University of Banja Luka, specializing in the Department of Telecommunications. His research focuses on speech recognition systems, signal processing, data augmentation techniques, and audio communication technologies. He has contributed to over 30 publications since 2010, with recent work emphasizing whispered speech recognition and visible light communication systems. He has participated in multiple international projects, including IoT applications using optical wireless technologies and smart city solutions. Notable collaborations involve华为 (Huawei) and NATO-funded initiatives. His educational contributions include textbooks on telecommunications fundamentals and information theory. Key research trends include applying machine learning to enhance speech recognition accuracy, optimizing feature extraction methods for whispered speech, and evaluating audio quality in emerging communication technologies like visible light systems.

Liia Butlerمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Software Engineering Education
• Debugging Education
• +۳ مورد دیگر

Liia Butler is a Teaching Professor at the University of Minnesota specializing in Computer Science Education. Previously, she completed her PhD in Computer Science at the University of Illinois Urbana-Champaign under Professor Geoffrey Herman's advisement, focusing on debugging education and collaborative learning in programming contexts. Her research bridges software engineering practices with pedagogical innovation to improve computer science instruction. Educational background: PhD in Computer Science (completed), University of Illinois Urbana-Champaign MS in Computer Science, University of Illinois Urbana-Champaign (co-advised by Tao Xie and Geoffrey Challen) BS in Computer Science with distinction, University of Kansas (transitioned from Film and German double-major) Her research centers on transforming programming education through explicit debugging instruction, collaborative learning structures, and motivation-focused assessment design. Butler investigates how to convert intimidating coding challenges into productive learning experiences, particularly for students without prior computing exposure. Her work examines structured role assignment in group work, autograding systems that incentivize quality submissions, and data-driven approaches to understanding student problem-solving patterns in introductory programming. Analysis of her publication record reveals consistent focus on three interconnected themes: (1) developing observation protocols for cooperative learning activities, (2) designing assessment mechanisms that motivate quality coding practices, and (3) applying software engineering techniques to educational contexts. Her research employs mixed methods including classroom observations, student solution analysis, and tool development, primarily targeting introductory programming courses where debugging skills are critically underemphasized. Scientific Awards: No scientific awards mentioned in source materials Butler has mentored 6 undergraduate students and accumulated 16 semesters of teaching experience across 7 courses. Her instructional roles range from undergraduate TA for programming fundamentals to Head TA positions for advanced compilers courses and teaching assistant training programs. She emphasizes creating inclusive learning environments where students discover programming's creative potential, drawing from her own transformative experience switching to computer science without prior background.

• Virtual Reality
• Computer Vision
• Human-Computer Interaction
• +۴ مورد دیگر

Joe K. Kearney is a Professor in the Department of Computer Science at the University of Iowa and the University of Minnesota. His career spans over three decades, focusing on virtual reality, computer vision, and human-computer interaction research. Key affiliations: University of Iowa (Iowa City, IA, USA), University of Minnesota (Minneapolis, MN, USA) Research domains: Virtual environments, perception-action coupling, motion capture systems, pedestrian behavior simulation Research trends show sustained contributions to immersive visualization , autonomous navigation , and human factors in virtual reality . His 2014-2025 work explores AR-based pedestrian safety systems, while earlier studies (1986-2006) established foundational frameworks for virtual environment simulation and optical flow analysis. Long-term collaborations with Jodie M. Plumert (1986-2021), James F. Cremer (1986-2009), and Pooya Rahimian (2015-2017) demonstrate consistent team research in VR cognition and autonomous systems.

Ayşe Tosun Kühnمشاهده پروفایل

دانشیار

• Software Engineering
• Software Quality
• Defect Prediction
• +۹ مورد دیگر

Ayşe Tosun Kühn is an Associate Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), where she also serves in administrative roles such as Deputy Dean and Management Board Member of the ITU Artificial Intelligence and Data Science Application and Research Center. She earned her Ph.D. in Computer Engineering from Boğaziçi University and has held academic positions at Sabancı University and the University of Oulu. Her research lies at the intersection of software engineering, empirical methods, and data science, with a focus on software quality, defect prediction, technical debt, vulnerability analysis, and test-driven development. She leads numerous funded research projects, including those supported by TÜBİTAK and industry collaborations, applying machine learning and reinforcement learning to software engineering challenges. Her recent publications reflect a strong trend in applying advanced machine learning techniques—particularly deep learning and reinforcement learning—to problems in software analytics, developer behavior modeling, and delivery optimization. She has made significant contributions to empirical studies on test-driven development, defect prediction models, and vulnerability detection in code. Her work is frequently published in high-impact journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, and Journal of Systems and Software. She has served as a guest editor and editorial board member for the Turkish Journal of Electrical Engineering and Computer Sciences , and has contributed book chapters on data science in software engineering. Her research has been cited over 1,700 times, with an h-index of 23. Scientific Awards: None explicitly mentioned. She advises several graduate students and has collaborated extensively with researchers in Turkey and internationally. She has also contributed to industry applications through projects on software measurement, defect prediction, and AI-based analytics. She is actively involved in organizing and contributing to major software engineering conferences and workshops. She is a key member of ITU’s AI and Data Science initiatives, contributing to both academic research and practical implementations in software engineering.

Wei Chenمشاهده پروفایل

استادیار

• Empirical Financial Accounting
• Financial Reporting
• Disclosure Practices
• +۵ مورد دیگر

Dr. Wei Chen is an Assistant Professor of Accounting at the University of Connecticut . He holds a Ph.D. in Accounting from the University of Iowa and an MBA from Dartmouth’s Tuck School of Business. His research focuses on empirical financial accounting, with an emphasis on financial reporting standards, disclosure practices, and methodological innovations. Dr. Chen’s work bridges accounting theory with real-world applications in digital platforms and emerging markets. Education: Ph.D. in Accounting, University of Iowa MBA, Tuck School of Business at Dartmouth College Research Interests: Financial reporting mechanics and transparency Platform economics and digital marketplaces Impact of regulatory policies on business models Cryptocurrency and blockchain ecosystems Open-source software innovation dynamics Key Research Themes from Publications: Examines how exchange listings influence venture development in token-funded projects Investigates signaling mechanisms in health consultation platforms Assesses implications of recreational cannabis legalization on illicit drug markets Explores organizational structures under generative AI adoption Studies Airbnb’s role in regulatory challenges and market competition Professional Engagement: Active in academia-industry dialogues around platform governance and AI ethics. No listed awards to date. Collaborates with global institutions on digital economy research.

• Software Engineering
• Cybersecurity
• Test Case Prioritization
• +۴ مورد دیگر

Dr. Alina Torbunova is a Researcher in the Department of Information Technology at Åbo Akademi University's Faculty of Natural Sciences and Engineering. Her work focuses on software engineering, cybersecurity education, and testing methodologies. Research Assistant, Faculty of Natural Sciences and Engineering Department of Information Technology Åbo Akademi University Research Interests: Integration of security concepts in programming education Test case prioritization algorithms (dynamic and static) Secure coding practices in industrial settings Development of security frameworks for software engineering Publication Trends: Recent work emphasizes security education in programming curricula (2025), systematic approaches to teaching security concepts (2024), and dynamic test case prioritization techniques (2024). Projects: FAST: Finnish Software Engineering Doctoral Research Network (Coordinator) Research Cybersecurity Training Cooperation Network (Project Associate)

David W. Binkleyمشاهده پروفایل

استاد

• Software Engineering and Testing
• Program Slicing and Clustering
• Information Retrieval in Software Engineering
• +۶ مورد دیگر

David W. Binkley is a Professor in the Department of Computer Science at Loyola University Maryland. His research focuses on Software Engineering and Testing Program Slicing and Clustering Information Retrieval Techniques in Software Engineering Safety-Critical Systems Code Clone Detection Recent work includes dynamic slicing of WebAssembly binaries and adaptive change recommendation systems using association rules. He has contributed extensively to empirical studies on dependence clusters, testability transformations, and observational slicing techniques. Key collaborations include institutions like Simula Research Laboratory (Norway) and NIST (National Institute of Standards and Technology). His publications span top-tier venues such as IEEE Transactions on Software Engineering, ACM TOPLAS, and ICSE.

Angelika Peerمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Human-Robot Interaction
• +۱۵ مورد دیگر

Angelika Peer is a Full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy, a position she has held since November 2017. Previously, she served as a Full Professor at the Bristol Robotics Laboratory, University of the West of England, UK (2014–2017), and as a senior researcher and lecturer at the Technical University of Munich, Germany, where she was also a TUM-IAS Junior Fellow. Her academic base is firmly within engineering, particularly in intelligent and human-centered systems. Diploma in Electrical Engineering and Information Technology, Technical University of Munich, 2004 Doctor of Engineering, Technical University of Munich, 2008 Her research interests are centered on intelligent systems that bridge humans and machines. Key areas include robotics, control systems, human-robot interaction (HRI), emotion recognition through physiological signals, shared control, and intelligent manufacturing. She investigates how dynamic models and machine learning can improve safety, adaptability, and efficiency in human-machine collaboration. Her work spans both theoretical control design and practical applications in Industry 5.0, sustainable production, and assistive technologies. Her recent publications (2023–2025) reflect a strong trend toward data-driven and model-based intelligent systems. Topics include energy-based safety control in HRI, neural-network-based trajectory adaptation in powder compaction, emotion intensity estimation using NARX models and appraisal theory, and task prediction in digitalized shop floors using support vector regression. These works demonstrate expertise in integrating dynamic modeling, machine learning, and real-time control with applications in manufacturing and human-centered computing. Angelika Peer has advised PhD students including Ehtisham Ul Hasan and Isabel Francisca Sota Machado Barradas. She is involved in research initiatives such as the Human-centered Intelligent Systems (HCIS) macro area at her university, promoting interdisciplinary work at the intersection of computer science, engineering, and human factors. Her research is supported by collaborations and publications in high-impact journals and conferences, with a strong emphasis on open access and peer-reviewed dissemination.

Michele BUGLIESIمشاهده پروفایل

استاد

• Computer Security
• Web Security
• Formal Methods
• +۴ مورد دیگر

Michele Bugliesi is a Full Professor of Computer Science at Ca' Foscari University of Venice, where he is affiliated with the Department of Environmental Sciences, Computer Science and Statistics. His research spans theoretical computer science with a strong emphasis on practical security applications in web technologies and distributed systems. Professor Bugliesi's primary research interests focus on computer security, particularly web security, formal methods for security analysis, programming languages, and blockchain technologies. His work combines theoretical foundations with practical implementations, addressing critical security challenges in modern computing environments. He has made significant contributions to understanding and preventing session hijacking attacks, developing content security policies, and analyzing smart contract security. Analysis of Professor Bugliesi's recent publications (2016-2025) reveals a clear evolution in his research focus. Initially centered on web security and formal verification methods, his work has expanded to include blockchain technologies, smart contracts, and more recently, the security implications of large language models. His publications consistently appear in top-tier computer security conferences and journals, demonstrating the high quality and impact of his research. Professor Bugliesi maintains an active research group and collaborates extensively with colleagues including Stefano Calzavara, Alvise Rabitti, and Sabina Rossi. His research has practical implications for improving the security of web applications, blockchain systems, and emerging AI technologies.

• Software Engineering
• Software Quality
• Code Smells
• +۷ مورد دیگر

José Pereira dos Reis is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he contributes to both teaching and research. He is also an Associate Researcher at ISTAR-Iscte, a research center focused on Information Sciences, Technologies, and Architecture. His work bridges software engineering with data science and human-centric development practices. His educational background includes a PhD in Information Science and Technology (2022), a Master’s in Computer Engineering (2008), and dual Bachelor’s degrees in Electrical Engineering and Electronic and Telecommunications Engineering from ISEL (1991, 1994). PhD in Information Science and Technology, ISCTE-University Institute of Lisbon, 2022 Master’s in Computer Engineering, FCT-UNL, 2008 Bachelor’s in Electrical Engineering - Systems and Communications, ISEL, 1994 Bachelor’s in Electronic and Telecommunications Engineering - Digital Systems, ISEL, 1991 His research interests center on Software Engineering , with a focus on Software Quality , Code Smells , and their detection through Machine Learning and collective intelligence . He explores Scientific Workflow Management Systems as tools for enabling non-programmers in data science, advocating for visual programming and parameterized templates to improve accessibility and reuse. His work also extends into Process Mining and Software Development Analytics , analyzing team efficiency and refactoring practices. The recent publications reflect a strong trend in empirical and systematic studies on code quality, visualization, and workflow systems. He frequently collaborates with researchers like F. Brito e Abreu and G. Figueiredo Carneiro, contributing to high-impact journals such as Archives of Computational Methods in Engineering and Empirical Software Engineering . His work combines technical rigor with human-centered design principles. He has been involved in research projects including: DataScience4NP : Exploring visual programming to enable non-programmers in data science using scientific workflow systems. SUSTENTURIS : Focused on sustainability and authenticity in tourism, developing tools for certification and marketing sustainable tourism products. José Pereira dos Reis supervises Master’s students, currently guiding two dissertations on Deteção de Code Smells and IDE Plugin for Metrics Collection from Java Code . He teaches courses such as Software Engineering , Software Architecture and Design , Algorithm Design and Analysis , and Object-Oriented Programming across undergraduate and graduate programs in Computer Engineering and related fields. He is affiliated with research platforms including Scopus, ORCID, Google Scholar, and ScienceVitae, and his work is widely cited across academic databases.

Kai-Hsiung Changمشاهده پروفایل

استاد

• Software Testing
• Software Comprehension and Visualization
• Software Complexity Metrics
• +۷ مورد دیگر

Kai-Hsiung Chang is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. He has been a faculty member since 1986, progressing from Assistant to Associate Professor in 1991, and to full Professor in 1998. He served as Department Chair from 2006 to 2016 and was honored with the Alumni Professorship from 2004 to 2009. Ph.D., Electrical and Computer Engineering, University of Cincinnati, 1986 M.S., Electrical and Computer Engineering, University of Cincinnati, 1982 Diploma, Electrical Engineering, Taipei Institute of Technology, 1977 Dr. Chang's research focuses on software testing, software comprehension and visualization, complexity metrics, information assurance education, computer supported cooperative work (CSCW), and artificial intelligence in software engineering. His work integrates formal methods and usage profiles to enhance software quality and safety. He has led research sponsored by the National Science Foundation (NSF) and the Department of Defense (DoD), particularly in pervasive and mobile computing and information assurance education. His recent publications reflect a strong focus on software testing methodologies, formal specification-based validation, collaborative systems, and intelligent software tools. Themes include object-oriented testing, complexity measurement, CSCW, and AI-driven test generation, indicating a long-standing commitment to improving software reliability and development processes. Alumni Professorship, Auburn University (2004–2009) ACM Certificate of Appreciation for Outstanding Service (1997) IEEE Senior Member INFOSEC Professional Certification (2005) Multiple Outstanding Teaching Awards at Auburn University (1989, 1992, 1997) Summer Faculty Fellowship at NASA Marshall Space Flight Center (1995) Dr. Chang has advised over 50 graduate students, including numerous Ph.D. and Master’s candidates, many of whom now hold academic and industry positions. He has served on NSF and DHS fellowship review panels, contributed to ABET accreditation as a commissioner and program evaluator, and participated in the IEEE-Computer Society/ACM Curriculum Committee for Software Engineering. He also served as Vice President of the International Society of Applied Intelligence. He has led significant research initiatives, including NSF-sponsored REU programs in pervasive computing, and has been deeply involved in curriculum development and professional service. His lab and research group have focused on software quality, intelligent systems, and collaborative environments, fostering interdisciplinary work in software engineering and AI.