جستجوی استاد راهنمای دانشگاهی

• Software Engineering
• Software Testing
• Program Analysis
• +۴ مورد دیگر

Alessandro Orso is the Dean and Professor of the University of Georgia College of Engineering. Previously, he served as a professor at Georgia Institute of Technology, where he directed the Scientific Software Engineering Center and held leadership roles, including interim dean of the College of Computing (2023–2024). He earned his Ph.D. and master’s in computer science and electrical engineering from Politecnico di Milano, Italy. Orso’s research focuses on software testing, program analysis, and debugging, with applications in improving software reliability and security. His work includes developing automated testing tools (e.g., AutoRestTest), methodologies for scientific software engineering, and techniques for program debloating. His research has secured funding from agencies and industry partners like Google, IBM, and Microsoft, including a $11M grant from Schmidt Futures. His scientific awards include being a Distinguished Member of the ACM and IEEE Fellow. He advocates for innovative education, such as Georgia Tech’s Online Master of Science in Computer Science and his virtual software engineering course. His publications span automated testing, API analysis, and security, reflecting his commitment to advancing both academic research and practical software solutions. Orso’s leadership includes directing the Scientific Software Engineering Center, which pioneers methodologies for scientific software improvement and trains a new generation of engineers. His career blends academic excellence with impactful industry collaborations, driving advancements in software engineering practices.

Rahul Bhargavaمشاهده پروفایل

استادیار

• Data Storytelling
• Computational Journalism
• Community Data Practices
• +۵ مورد دیگر

Rahul Bhargava is an Assistant Professor in Journalism and Art + Design at Northeastern University, leading the Data Culture Group. His work focuses on creative data storytelling, computational journalism, and community-driven data practices to promote social justice and civic empowerment. He holds a Master of Science from MIT's Media Arts & Science program and a Bachelor of Science in Electrical and Computer Engineering from Carnegie Mellon University. Research interests include participatory data methods, feminist data science, AI ethics in newsrooms, and bridging gaps between technical and non-technical communities. Notable projects include the Data Theatre Collective (funded by Mellon Foundation), Data Murals , and Databasic.io tools. His 2025 book Community Data explores empowering marginalized groups through collaborative data practices. Key grants: Mellon Foundation ($500K), NSF ($724K), Knight Foundation Publications span journals like International Journal of Communication and conferences such as AEJMC and ICWSM Labs/affiliations: Media Ecosystems Analysis Group, MIT Data + Feminism Lab Teaching emphasizes hands-on data literacy, with courses on computational journalism and physical computing. His work has been featured in museum exhibits globally and recognized through awards including the Knight Foundation grants and Best Software (American Political Science Association).

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Maxime Gobertمشاهده پروفایل

پژوهشگر

• Database Systems
• Hybrid Polystores
• Database Schema Evolution
• +۴ مورد دیگر

Maxime Gobert is a researcher at the University of Namur's Faculty of Computer Science, specializing in database systems and software engineering. Having completed his PhD in March 2023 titled 'Design, Manipulation and Evolution of Hybrid Polystores,' Gobert has established himself as an expert in hybrid database systems, particularly focusing on the HyDRa framework for modeling and evolving polystores. His research interests span database systems, hybrid polystores, database schema evolution, software engineering, data-intensive systems, and static program analysis. Gobert's work bridges theoretical database concepts with practical applications, particularly in NoSQL databases like MongoDB and complex hybrid data storage environments. His publication record demonstrates a clear trajectory from his 2013 Master's thesis on database reverse engineering through to his recent work on database testing best practices and sign language processing applications. His research shows strong collaboration with colleagues at the University of Namur, particularly with Professor Cleve A., and extends to international collaborations as evidenced by his 2016 guest researcher position at the University of Geneva. Best New Idea and Emerging Results (NIER) Paper Award at the 20th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM 2020) Jean Fichefet 2013 award Gobert has contributed significantly to the development of the HyDRa framework for hybrid polystore management and has extended his research into sign language processing through collaborative projects creating bilingual sign language dictionaries and parallel corpora. His work demonstrates both technical depth in database systems and a commitment to applying this expertise to accessibility-focused applications.

Cameron Neylonمشاهده پروفایل

استاد

• Open Access
• Scholarly Communication
• Research Policy
• +۵ مورد دیگر

Professor Cameron Neylon is a leading academic in the field of Research Communication at Curtin University’s Centre for Culture and Technology . With an international reputation as an Open Access activist and scholarly communication strategist , he combines empirical science expertise with systemic change advocacy. His work spans open data , research policy , and digital scholarship , advising global institutions and governments. 2012–2015 : Advocacy Director, Public Library of Science (PLOS) 2005–2012 : Senior Scientist, ISIS Neutron Scattering Facility, UK 2001–2009 : Lecturer in Combinatorial Chemistry, University of Southampton Neylon’s research focuses on the intersection of systems theory , design methodologies , and open science . He explores how digital networks and open practices can reshape knowledge creation , research metrics , and institutional policy . His recent projects include Curtin’s New Models of Publishing and global open access performance analysis . His publications since 2012 emphasize open science infrastructure , data integrity , and equitable research systems . Articles like Open Access Research Outputs Receive More Diverse Citations (2024) and A User-Friendly Dashboard for Tracking Global Open Access Performance (2023) reflect his commitment to measurable, inclusive scholarly systems. 2012 : Fellow of the Open Forum Academy 2010 : SPARC Innovator Award for Panton Principles 2010 : Blue Obelisk for Open Data Contributions Neylon has held leadership roles in organizations such as Crossref and ImpactStory , and currently serves on the Future of Research Communication and E-scholarship board. His work integrates neutron scattering , bioinformatics , and policy design to address systemic challenges in academic practice.

• Real-time Systems
• Model Checking
• Critical Systems
• +۴ مورد دیگر

Yasmina Abdeddaïm is an Associate Professor at Université Gustave Eiffel and affiliated with ESIEE Paris. She works within the Laboratoire d'Informatique Gaspard-Monge (Softwares, Networks and Real-time team) and serves as Head of the Master in Artificial Intelligence and Cybersecurity (AIC) program. Her research focuses on real-time systems, critical systems, and scheduling algorithms. University: Université Gustave Eiffel Role: Head of Master AIC program Laboratory: Laboratoire d'Informatique Gaspard-Monge Team: Softwares, Networks and Real-time Her research spans real-time systems , mixed-criticality scheduling , energy-harvesting systems , and probabilistic schedulability . Recent publications analyze compilation optimization impacts on timing variability and propose new models for real-time deep neural networks over GPUs. She employs formal methods like timed automata for scheduling verification. Her teaching includes courses on Real-time Systems , Model Checking , Critical Application Development , and Artificial Intelligence . She is based at Cité Descartes, Champs-sur-Marne, France, with office contact details provided.

• Software Engineering
• Intelligent Systems
• Model-Based Systems Engineering
• +۳ مورد دیگر

Rüdiger Lunde is a Professor at Technische Hochschule Ulm , currently serving as Dean of Studies for Information Systems since September 2019. He previously chaired the Examination Board for programs including INF, CTS, TI, ICS, DSM, MD, and IS from 2014 to 2019. His primary research areas include Software Engineering , Intelligent Systems , and Model-Based Systems Engineering , with a focus on automated safety analysis and technical system simulation. Current Role: Dean of Studies for Information Systems Prior Role: Chair of Examination Board (2014–2019) His research leverages the smartIflow framework for safety tasks such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). He has contributed to formal verification methods using Computation Tree Logic (CTL) and explored temporal reasoning across varying time scales. Recent trends in his work include: Automated safety analysis in technical systems Integration of SysML for artifact generation Model decomposition techniques for complex systems Scientific awards: Best Paper Award at International Workshop on Applications in Information Technology (IWAIT-2015) Contact: Ruediger.Lunde@thu.de | Room: A306a | Consultation hours: By appointment via email.

Steven Dingمشاهده پروفایل

استادیار مدعو

• Artificial Intelligence
• Data Analytics
• Security
• +۴ مورد دیگر

Steven Ding is an Adjunct Assistant Professor and Lab Director at the School of Computing, Queen's University , leading the L1NNA Artificial Intelligence and Security Lab. His research focuses on the intersection of machine learning, data mining, and cybersecurity with applications in malware analysis, reverse engineering, and authorship attribution. Education: PhD in Information Studies (McGill University, 2019), M.A.Sc. in Information Systems Security (Concordia University), B.S. in Information Systems (University of the Fraser Valley), B.S. in Computer Science (University of Shanghai for Science & Technology) Research Interests: His work integrates artificial intelligence and security systems to develop solutions for malware phenotype decomposition, neural malware analysis, binary provenance, and explainable AI in cybersecurity. He explores data analytics for assembly code evolution and authorship analysis using machine learning and differential privacy . Publication Trends: His peer-reviewed work (IEEE Transactions, ACM conferences) emphasizes binary code analysis , neural networks , and cybersecurity , with a focus on static malware characterization , authorship attribution , and cross-architecture code similarity . Scientific Awards: FRQNT Doctoral Research Scholarship (2017-2018) Dean’s Graduate Award at McGill University (4 years, 2014-2018) NSERC Alliance Grant (2021-2024) Best Poster Award, SERENE-RISC Research Showcase (2016) Second Prize, Hex-Rays Software Plug-in Contest (2015) ACM SIGKDD Student Travel Award (2016) Advising & Grants: Dr. Ding has supervised numerous Ph.D. and Master’s students (e.g., Li Tao Li, Mark M. Adams) and secured significant funding from BlackBerry Cylance , DRDC , and NSERC , including a 1.24M CAD NSERC Alliance Grant (50%) and 1.5M CAD DRDC Contract (50%). Labs & Teams: The L1NNA lab collaborates with DRDC Canada, NVIDIA, and IEEE Security & Privacy, focusing on AI-driven security tools (e.g., Kam1n0 assembly clone search engine) and neural malware analysis . The lab is located in Goodwin Hall, Queen's University, and emphasizes practical software development and industrial partnerships .

Kinan Dak Albabمشاهده پروفایل

استادیار

• Data Privacy
• Systems Security
• Secure Computation
• +۷ مورد دیگر

Kinan Dak Albab is an Assistant Professor at the Faculty of Computing and Data Sciences (CDS) at Boston University, where he joined in summer 2024. His research spans systems, cryptography, and programming languages, focusing on building practical tools for data privacy and compliance-by-construction. He has developed influential systems such as Sesame, K9db, and DP-PIR, which have been published in top venues like SOSP, OSDI, and USENIX Security. PhD in Computer Science, Brown University MS in Computer Science, Boston University (2020) BS in Computer Science, American University of Beirut (2015) Kinan's research centers on data privacy , secure computation , and systems security . He designs tools that allow developers to build applications that are privacy-compliant by construction. His work leverages systems design, cryptographic protocols, and language-level enforcement to reduce developer burden while ensuring strong privacy guarantees. He is particularly interested in GDPR compliance, private information retrieval, and usability of secure systems. His publications span high-impact areas including end-to-end privacy enforcement (Sesame), database systems with built-in privacy (K9db), and efficient private information retrieval (DP-PIR). These works combine systems performance with strong theoretical foundations, enabling real-world deployment in domains like wage gap analysis and public policy. Presidential Award for Excellence in Teaching, Brown University (2025) Teaching Excellence Award, Boston University (2020) Vivli and Microsoft datatheon Outstanding Graduate Submission (2019) Hariri Institute Graduate Fellow (2017–2020) Mark Sawaya Excellence Award, AUB (2015) 1st Place, ACM Lebanese Collegiate Programming Contest (2015) Kinan has advised and collaborated on real-world secure computation deployments, including a project with the Boston Women's Workforce Council and the Greater Boston Chamber of Commerce to measure wage gaps across over 100 companies. His work contributed to the formation of the startup nthparty and has been cited in the White House’s National Strategy on Privacy-Preserving Data Sharing, the UN Handbook on Privacy-Preserving Computation, and the European Commission’s report on Technological Enablers for Privacy. He is the lead developer of the JIFF framework for secure multi-party computation on the web and has created tools like Carousels for resource estimation in secure programs. He leads the ETOS group and is affiliated with multiparty.org , an initiative focused on advancing privacy-preserving technologies through open-source tools and real-world applications.

• Digitalization
• Multi-Agent Systems
• Semantic Web
• +۵ مورد دیگر

Prof. Dr. Thomas Farrenkopf is a full-time Professor in the Department of Business Informatics at the Technische Hochschule Mittelhessen , serving as Dean of Studies . He leads the Business Informatics Bachelor program and specializes in digitalization, multi-agent systems, and AI-driven decision support. Expertise Areas : Industry 4.0, Smart Factory, Semantic Web, full-stack software development Contact : thomas.farrenkopf@mnd.thm.de Research Focus : His work bridges knowledge-based methods with practical applications in artificial intelligence, particularly through multi-agent systems for traffic modeling and business simulations. He developed AGADE Traffic (a knowledge-based traffic simulator) and ATHOS (a domain-specific language for multi-agent simulations), focusing on scalability and complexity reduction. Recent studies explore individual preferences' impact on traffic policies and agent-based feedback mechanisms in business contexts. Academic Contributions : With over 15 publications since 2013, his research spans agent-based modeling, semantic web applications, and smart manufacturing - notably improving throughput times in toolmaking by 90% through Industry 4.0 implementations. Teaching & Supervision : Actively supervises Bachelor's Practical Projects (BPP), providing guidance for internship-related academic work through structured evaluation processes and electronic reporting systems. Collaborations : Works with international researchers like Johannes Nguyen, Simon T. Powers, and Michael Guckert, publishing in venues such as SN Computer Science , Lecture Notes in Computer Science , and Journal of Artificial Societies and Social Simulation .

László Lengyelمشاهده پروفایل

استاد

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +۷ مورد دیگر

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

• Human Genetics
• Animal Genetics
• Genomic Data Analysis
• +۵ مورد دیگر

Jeffrey R. O'Connell, DPhil is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine, with a secondary appointment in Epidemiology & Public Health. He has held his position at the University of Maryland since 2002, initially as an Assistant Professor (2002-2008) before being promoted to Associate Professor in 2009, a position he continues to hold. Additionally, he maintains a research appointment at the USDA Animal Genetics Improvement Laboratory where he has worked since 2007. Dr. O'Connell's educational background includes a BS in Mathematics from the University of Delaware (1979), an MS in Mathematics from Drexel University (1984), an MS in Computer Science from Drexel University (1993), and a D.Phil in Mathematical Biology from Oxford University (2000). His academic journey reflects a strong foundation in mathematics and computational methods that underpins his research career. Dr. O'Connell's research focuses on developing, implementing and applying methods to analyze genomic data in large pedigree and population data. His primary area has been human genetics, which expanded to animal genetics in 2007 with his appointment at the USDA Animal Improvement Laboratory. He is the developer of MMAP (Mixed Models for Analysis of Pedigree/Populations), a comprehensive software package implementing analysis options for genome-wide association, variance components estimation, linkage analysis, genotype imputation, genomic prediction, haplotyping, and mega analysis. His work extensively utilizes large pedigree data such as the Old Order Amish and Holstein cattle. Dr. O'Connell collaborates with numerous research consortia including the Genetics of Liver Disease (GOLD), the Genetic Factors for Osteoporosis (GEFOS), the Cohorts of Heart and Aging Research in Genetic Epidemiology (CHARGE) musculoskeletal, adiposity, and lipid groups, and the Gene-by-Lifestyle Interaction consortium. He is also a member of the TOPMed whole genome sequencing effort and has been heavily involved in developing analytical tools for cloud-based computing to run genome-wide association and rare variant analysis, generalized linear mixed models for binary and threshold traits, and multi- and correlated trait models for analysis of large omics data sets. His research has resulted in numerous high-impact publications spanning statistical genetics, genomic analysis methods, and applications to both human and animal genetics. His work bridges computational methodology development with practical applications in genetic epidemiology and animal breeding.

Shravan Ravi Narayanمشاهده پروفایل

استادیار

• Secure Systems
• Program Verification
• Hardware-Based Security
• +۳ مورد دیگر

Dr. Shravan Ravi Narayan is an Assistant Professor in the Computer Science department at The University of Texas at Austin. His research focuses on secure systems, program verification, and hardware-based security, with groundbreaking work in Software Fault Isolation (SFI), WebAssembly security, and Spectre attack mitigation. He teaches courses like CS361S (Network Security and Privacy) and CS380S (Theory and Practice of Secure Systems). 2023 - Distinguished paper award at ASPLOS 2022 - Mozilla research award 2022 - IEEE Cybersecurity Award for Practice 2022 - NSA Best Scientific Cybersecurity Paper Honorable Mention 2021 - Google V8 research award His publications highlight innovations in hardware-assisted isolation (HFI), sandboxing runtime design (WaVe), and browser security frameworks like RLBox. His work bridges systems security, programming languages, and hardware architecture to create practical, verifiable security solutions. He actively recruits exceptional PhD candidates with expertise in security, programming languages, or computer architecture and collaborates with industry leaders like Firefox and Fastly.

• Safety Assurance
• Robotics
• Autonomous Systems
• +۵ مورد دیگر

Chris Harper is a Senior Research Fellow at the Bristol Robotics Laboratory, affiliated with the Faculty of Engineering and Technology at the University of the West of England. His work focuses on safety assurance in robotics and autonomous systems, with expertise spanning civil aerospace, rail, defense systems, and nuclear energy. AAIP Assistive Robotics in Healthcare CAV Forth ROBOPILOT SafeMRX Research Expertise: With over 25 years in system safety assurance, Harper specializes in safety case development, hazard identification, fault tree analysis (FTA), failure modes & effects analysis (FMEA), and simulation-based safety validation techniques. Key Contributions: He contributed to ISO 13482, the first international safety standard for mobile service robots, and developed the Environmental Survey Hazard Analysis (ESHA) method for autonomous systems. Publications: His work spans safety verification methodologies, swarm intelligence applications, and formal methods integration in autonomous vehicles. Recent articles highlight simulation-based assertion checking and ISO standardization efforts. 15+ years in robotics safety research ISO technical committee participation ESHA method development PhD in robotics safety methodology

Eunsuk Kangمشاهده پروفایل

استادیار

• Software Engineering
• Formal Methods
• Software Security
• +۴ مورد دیگر

Eunsuk Kang is an Assistant Professor at Carnegie Mellon University's Software and Societal Systems Department within the School of Computer Science. His research focuses on enhancing software system safety, security, and reliability through formal methods and rigorous modeling. Ph.D. in Computer Science, MIT Software Engineering, University of Waterloo Research spans cyber-physical systems , software security , formal verification , and ML resilience . Key areas include robust system design against evolving environments, specification engineering, and scalable automated reasoning. Recent publications highlight advancements in CPS safety , formal verification , and ML-based error mitigation . Collaborative projects span conferences like ICSE , CAV , and FMCAD . Scientific Awards CyLab 2025 Seed Funding CyLab 2023 Seed Funding Carnegie Bosch Institute Grant Advises doctoral students in software engineering and formal methods, with affiliations to the Software Design and Analysis (SoDA) Group and CyLab Security and Privacy Institute.