جست‌وجوی استاد و پژوهشگر

Rrezarta Krasniqiمشاهده پروفایل

استادیار

• Software Engineering
• Requirements Engineering
• Software Quality
• +۳ مورد دیگر

Rrezarta Krasniqi is an Assistant Professor in the Department of Software and Information Systems at the University of North Carolina at Charlotte. She holds a Ph.D. in Computer Science and Engineering from the University of North Texas (2024) and has previously taught at multiple institutions while working as a senior Java developer in industry. Research Focus: Her work centers on improving software quality through automated detection of quality-related bugs, using AI-driven approaches and empirical methodologies to address challenges in code scattering, requirement vagueness, and system-wide reliability issues. She specializes in semantic analysis, classifier development, and 3D visualization tools for codebase monitoring. Key Contributions: Developed RetroRank for bug-fixing comment recommendation (2021-2023) Pioneered SoftQualDetector for semantic quality concern mapping (2023-2024) Co-authored surveys on quality concern management in open-source communities Publications: Her work spans leading venues like EMSE'23, ICSME'23, SANER'23, and SQJ'23, with earlier contributions at ICSE'2017 and FSE'2018 through the TraceLab reproducibility framework.

Michael Ruthمشاهده پروفایل

دانشیار

• Software Engineering
• Distributed Systems
• Software Testing

Michael Ruth is an Associate Professor and Program Director of Computer Science & Cyber Security in the Department of Computer Science and Information Technology at Roosevelt University, within the College of Science, Health and Pharmacy. He joined the university in 2009 as an Assistant Professor and was promoted to Associate Professor in 2015 after completing his PhD at the University of New Orleans. His educational background includes: Ph.D. in Engineering & Applied Science from the University of New Orleans M.S. in Computer Science from the University of New Orleans Dr. Ruth's research centers on software engineering with specialized focus on software testing and distributed systems. His primary contributions involve developing decentralized regression test selection frameworks for web services, addressing critical challenges in balancing service provider constraints with testing effectiveness. His work explores concurrency management, fault locatability, and benchmark development for web service testing. Analysis of his 11 publications (2005-2010) reveals consistent thematic focus on regression testing methodologies for service-oriented architectures. Key research trajectories include client-side framework development for resumable applications, adaptation of SRMR messaging protocols, and empirical validation of decentralized testing frameworks. His publications demonstrate progressive refinement of techniques for web service testing while maintaining practical applicability in distributed environments. Scientific awards: No scientific awards or fellowships were mentioned in the source materials. Regarding academic advising and research funding, the available documentation does not specify any graduate students supervised or grant awards received. His industrial experience includes software development roles with the US Navy and network engineering at a New Orleans bank prior to his academic appointment. No dedicated research laboratories or specialized teams are described in the provided information, though his academic genealogy traces through notable figures including Frederick Terman and Vannevar Bush.

• Software Verification
• Formal Methods
• Program Synthesis
• +۴ مورد دیگر

Madhusudan Parthasarathy is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, College of Engineering. His research focuses on software verification, formal methods, and logic in computer science, with significant contributions to trustworthy AI systems, program synthesis, and security. Ph.D. in Theoretical Computer Science (2002), Institute of Mathematical Sciences, University of Madras Research interests include automating software verification, building correct-by-design systems, and exploring synergies between machine learning and program synthesis. He pioneered visibly pushdown languages , impacting XML processing and program verification. His tools like VEX and Strand advanced security and heap reasoning. Recent articles focus on blockchain verification, timed automata, and learning logics from data. His work has been widely cited, with the visibly pushdown language paper alone generating over 940 scholarly entries. Best Paper Award, 19th USENIX Security Symposium (2010) He has advised numerous students and postdocs, with former advisees now at institutions like Purdue University and Google. His outreach initiatives include the ConTraIL privacy-preserving contact tracing project and the MASSIVELY EMPOWERED CLASSROOMS MOOC platform for Indian undergraduates. He teaches courses like CS 521: Advanced Topics in Programming Systems and CS 474: Logic in Computer Science , while actively serving on program committees for top-tier conferences such as POPL and PLDI.

Kate M. Lesciottoمشاهده پروفایل

استادیار

• Forensic Anthropology
• Sex Estimation
• Biomechanics
• +۶ مورد دیگر

Kate M. Lesciotto, JD, PhD, D-ABFA is an Assistant Professor at the Center for Anatomical Sciences , affiliated with the College of Biomedical and Translational Sciences at UNT Health in Fort Worth, TX. Her work bridges forensic anthropology, biomechanics, and legal systems, focusing on skeletal analysis, trauma interpretation, and the Daubert standard's impact on forensic science. Education PhD in Anthropology, Pennsylvania State University (2020) MS in Forensic and Biological Anthropology, Mercyhurst University (2015) Juris Doctor (JD), Washington University in St. Louis (2009) BS in Biological Science and Zoology, Colorado State University (2004) Her research centers on forensic anthropology , with three primary areas: (1) sex estimation from skeletal remains using metric/morphological data and statistical models; (2) biomechanics of skeletal trauma via experimental bending models and medical imaging; and (3) the intersection of forensic anthropology and legal systems , particularly Daubert standard admissibility criteria. Recent projects include NSF/National Institute of Justice-funded software development for sex estimation and collaborations on cranial bone development studies. Dr. Lesciotto's publications reflect expertise in forensic identification , methodological validation , and science communication . She has contributed to software tools, biomechanical protocols, and educational outreach initiatives like March Mammal Madness. Her 2021-2025 work demonstrates consistent focus on improving forensic accuracy, legal standards, and developmental imaging techniques. Scientific Awards ABFA Board-Certified Forensic Anthropologist (2023) As a practicing forensic anthropologist, she consults for Texas counties and trains law enforcement. At UNT Health, she directs Graduate Structural Anatomy (PHAN 5301) and teaches gross anatomy to medical, physical therapy, and physician assistant students. Her work integrates biomedical research , legal analysis , and pedagogical innovation , reflecting interdisciplinary expertise in forensic science.

Fei Chiangمشاهده پروفایل

دانشیار

• Data Management
• Data Quality
• Data Privacy
• +۶ مورد دیگر

Dr. Fei Chiang is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her research focuses on data management , with emphasis on data quality, data privacy, information extraction , and contextual data cleaning . She has collaborated with IBM Global Services and Microsoft Research on improving data quality in enterprise systems. Key research themes include graph databases , temporal data analysis , and privacy-aware data processing Recent publications explore federated learning , SQL understanding in LLMs , and temporal graph constraints Industry collaborations with IBM Toronto Lab and Microsoft Research have led to innovations in data cleaning automation and semantic analysis. Her work bridges database theory with machine learning applications in healthcare inventory optimization and flight reliability prediction.

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

Alessandro (Alex) Orso is the Dean and Professor at the University of Georgia College of Engineering , starting in 2025. Previously, he spent 25 years at Georgia Institute of Technology , where he served as a Professor in the College of Computing , Director of the Scientific Software Engineering Center , and Associate Dean for Off-Campus and Special Initiatives . Education: Ph.D. in Computer Science – Politecnico di Milano, Italy M.S. in Electrical Engineering – Politecnico di Milano, Italy B.S. in Electrical Engineering – Politecnico di Milano, Italy Research Focus: Alex Orso is a leading expert in software engineering , with a focus on software testing , program analysis , and debugging . His work aims to improve software reliability, security, and trustworthiness , and has been validated on real-world systems. He has led initiatives to integrate AI and large language models into testing workflows, particularly for REST APIs and mobile applications . Scientific Recognition: Distinguished Member of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) ISSTA Impact Paper Award (2021) Research Funding & Leadership: Orso has secured major funding from Google, IBM, Microsoft , and government agencies. In 2021, he led the acquisition of $11 million from Schmidt Futures to establish the Scientific Software Engineering Center at Georgia Tech, where he served as inaugural director. Teaching & Innovation: He was an early advocate of Georgia Tech’s Online Master of Science in Computer Science (OMSCS) and has taught a virtual software engineering course since its launch in 2014.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +۴ مورد دیگر

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

• Networking
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Siegmar Sommer is a Researcher at the Humboldt University of Berlin , affiliated with the Institute of Computer Science under the Faculty of Mathematics and Natural Sciences . He has worked at the university since 1986 in various technical and scientific roles. Dipl.-Ing. in Computer Engineering (1982) Dr.-Ing. in Computer Science (1986) Postgraduate studies in Higher Education (1990) His research focuses on networking , distributed systems , and network security , with historical contributions to optical information transmission , LAN protocols , and security-relevant systems . His work bridges hardware-software co-design and educational theory in technical disciplines. The 1980s-1990s articles highlight expertise in LAN architecture, optical communication, and security frameworks. Keywords span Networking , Operating Systems , and Education , with subfields like Fiber Optic Networks , CSMA/CD Protocols , and Higher Education Curriculum . He contributed to the Computer Engineering Group and holds a patent for " Bus Access Method for a Local Computer Network " (1986). His teaching legacy includes courses on programming languages (BASIC, PASCAL, PEARL), computer graphics, and modern topics like Wireless Communication Systems and Reliable Distributed Systems . Contact: Email: sommer@informatik.hu-berlin.de Phone: +49 30 2093-41256 Office: Room IV.303, Rudower Chaussee 25, Berlin-Adlershof

Ondrej Vaculinمشاهده پروفایل

استاد

• Passive Vehicle Safety
• Automated Driving
• Vehicle Dynamics
• +۳ مورد دیگر

Prof. Ondrej Vaculin, Ph.D., is a Professor at Technische Hochschule Ingolstadt (THI), specializing in passive vehicle safety, mechatronic systems, and automated driving. He joined THI in 2018 and previously held roles at TÜV SÜD Prague (2008–2018) as Vice President for Safety and Security in Automotive, and as a researcher at Czech Technical University (2005–2008) and DLR Oberpfaffenhofen (2000–2005). His research focuses on enhancing vehicle safety through advanced simulation, sensor integration, and machine learning applications. Education: Ph.D. in Mechanics of Solids, Deformable Bodies and Continua from Czech Technical University in Prague (2001), and a degree in Technical Cybernetics from the Faculty of Electrical Engineering at the same university (1991). His work bridges theoretical research and practical implementation, addressing challenges in automated driving systems, crash simulation, and human body diversity in safety design. Research interests include passive safety systems, autonomous vehicle dynamics, and infrastructure integration for safety enhancements. Recent publications emphasize collaborative smart infrastructure, sensor fusion for free space detection, and machine learning in crash detection. He actively contributes to FISITA, serving as a Council Delegate and member of technical committees. Awards/memberships: Active in FISITA, holding leadership roles in technical committees. No explicit awards listed, though his contributions to automotive safety standards are notable. Grants and advising: While no specific grants or students are detailed, his extensive industry and academic collaborations (e.g., IN2Lab testing field projects) highlight his role in applied research and development.

Mohammad T. Khasawnehمشاهده پروفایل

استاد

• Healthcare Systems Engineering
• Operations Management
• Data Science
• +۳ مورد دیگر

Mohammad T. Khasawneh is a SUNY Distinguished Professor and Director of the School of Systems Science and Industrial Engineering at Binghamton University. He leads the Watson Institute for Systems Excellence (WISE) and the Healthcare Systems Engineering Center. His roles include Director of the Manhattan Graduate Program in Health Systems. Education: BS and MS in Mechanical Engineering from Jordan University of Science and Technology (1998, 2000), PhD in Industrial Engineering from Clemson University (2003). Research focuses on healthcare systems engineering, operations management, and data science. His work optimizes healthcare systems for improved patient outcomes and cost efficiency. Key areas include predictive analytics, hospital resource utilization, and clinical performance improvement. He has generated over $15M in external funding and led projects with U.S. hospital systems. Notable achievements include developing the Executive Master of Science in Health Systems and an MS in Healthcare Systems Engineering. His research has produced 60+ journal articles and 120+ conference papers. Awards include SUNY Chancellor’s Awards for Teaching (2011) and Scholarship (2021), University Awards for Graduate Director (2015) and International Education (2016). He is an IISE Fellow and holds honorary visiting professorships at Hebei University of Technology (China) and Vellore Institute of Technology (India). Grants and funding: $2.5-3M annually via WISE, $39M in software/equipment grants. Lab/Initiatives: Healthcare Systems Engineering Center, WISE, and multiple hospital partnerships.

Khaled Sobhanمشاهده پروفایل

استاد

• Geotechnical Engineering
• Pavement Materials/Design
• Geosynthetics
• +۳ مورد دیگر

Professor Khaled Sobhan is affiliated with the Department of Civil, Environmental and Geomatics Engineering at Florida Atlantic University . His research focuses on geotechnical engineering, pavement design, and sustainable materials. Education: Ph.D. from Northwestern University His work includes studies on soil stabilization, geosynthetic reinforcement, and fatigue analysis of recycled construction materials. Recent projects involve InSAR-based subsidence monitoring and seismic stability of retaining walls. Key trends in his publications (2025–2020) include applications of artificial neural networks in foundation analysis, geosynthetic contributions to pavement durability, and marine corrosion resistance of geopolymer concrete. His lab specializes in geotechnical testing for coastal infrastructure resilience.

• Distributed Systems
• Fault-Tolerant Computing
• Asynchronous Algorithms
• +۳ مورد دیگر

Prof. Ulrich Schmid is a full professor at TU Wien, affiliated with the Forschungsbereich Embedded Computing Systems. His research focuses on distributed systems, fault-tolerant computing, and asynchronous algorithms. He leads projects like 'Asynchronous Distributed Algorithms in the Theta-Model' and 'Gracefully Degrading Agreement in Directed Dynamic Networks.' Prof. Schmid has received honors at TU Wien and actively supervises numerous students in PhD and Master's programs. His academic work spans theoretical foundations (e.g., epistemic logic in Byzantine systems) and practical applications (e.g., digital circuit delay modeling). Key contributions include hybrid delay models for integrated circuits and formal verification frameworks for timed circuits. Collaborations involve institutions like the Institut für Technische Informatik and the E191-02 research group. Notable research areas: Byzantine fault tolerance, consensus protocols, and embedded systems Leadership in 4 major projects addressing distributed computing challenges Recipient of TU Wien honors (2021) Prof. Schmid's lab emphasizes bridging theoretical computer science with hardware-software co-design, producing over 220 publications and 10+ supervised theses since 2000.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

• Formal Methods
• Software Engineering
• Model-Based Testing
• +۳ مورد دیگر

Petra van den Bos is an Assistant Professor at the University of Twente, affiliated with both the Digital Society Institute and the Formal Methods and Tools department. Her research focuses on advancing software engineering through formal methods, model-based testing, and automated testing techniques. She has contributed to integrating Behavior-Driven Development (BDD) with model-based approaches, as well as developing tools like VeyMont for choreography-based concurrent programming. Her work emphasizes practical applications in video game development, web testing, and user story-driven methodologies. Notably, she received the FORTE 2023 Best artefact award for outstanding contributions to formal techniques. Petra collaborates on datasets archived on Zenodo, showcasing reproducible research in testing frameworks and formal verification. Research Interests: Formal Methods, Model-Based Testing, Automated Testing, Concurrent Programming, and Software Verification. Awards: FORTE 2023 Best artefact (2022). Advising & Grants: No formal advisees listed; contributions focus on collaborative research projects and open-source tool development. Labs/Teams: Active in the Formal Methods and Tools research group, advancing software reliability through interdisciplinary approaches.

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .