جست‌وجوی استاد و پژوهشگر

• Database Systems
• Semantic Web
• Graph Databases
• +۳ مورد دیگر

Jacques CHABIN serves as a Lecturer at the University of Orleans, affiliated with the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans) research laboratory. His academic role centers on advancing database theory and semantic technologies within the institution's computer science research ecosystem. His research spans database systems with emphasis on semantic web architectures, graph database evolution, and formal language applications. Key investigations include RDF/S schema management, null value handling in incomplete databases, and context-driven querying systems for urban graph analysis. Recent work addresses privacy-preserving techniques in semantic networks and consistency maintenance during database evolution. Analysis of his 15 most recent publications reveals persistent focus on graph-based data management systems. The 2020-2024 output demonstrates progression from foundational XML schema evolution toward contemporary property graph challenges, with consistent attention to data consistency, constraint enforcement, and practical tool development like DataFix for database repair. As an active member of LIFO, Chabin contributes to the laboratory's mission in fundamental computer science research. His collaborative work with researchers including Mirian Halfeld-Ferrari and Nicolas Hiot reflects integration within the laboratory's database systems research group focused on theoretical and applied data management challenges.

Karsten Weickerمشاهده پروفایل

استاد

• Algorithms
• Evolutionary Algorithms
• Algorithm Engineering
• +۴ مورد دیگر

Karsten Weicker is a Professor of Practical Computer Science at the Faculty of Computer Science and Media, Leipzig University of Applied Sciences (HTWK Leipzig). He has been serving in this position since 2004, bringing expertise in algorithms and computational methods to the institution. Field of appointment: Practical Computer Science Office hours: Winter semester 24/25: Tue 1 p.m. - 2 p.m. (odd weeks), Thu 1 p.m. - 2 p.m. (even weeks) and by appointment Contact: Phone: +49 341 3076-6395, Fax: +49 341 3076-6381 Professor Weicker's research focuses on algorithmics for application problems and evolutionary heuristics. His work involves formal modeling of application problems, development of specialized algorithms, and empirical analysis of results. Specific application areas include train reservation mapping, examination planning, resilient Lego structure construction, project management optimization, and floor plan optimization. He has developed multimedia learning units for evolutionary algorithms that visualize search dynamics through carefully designed experiments and data visualization techniques. His research bridges theoretical computer science with practical applications across various domains. Professor Weicker teaches multiple core computer science courses including Algorithms and Data Structures, Software Engineering, Software Project, Project Management Internship, Evolutionary Algorithms, Algorithm Engineering, and IT Security across both bachelor's and master's programs. He actively supervises bachelor's and master's theses, requiring students to follow specific guidelines outlined in his "Academic Work and Writing in Computer Science" document. Thesis topics typically focus on algorithm development for specific application problems or evolutionary computation approaches. Professor Weicker completed his Promotion (doctoral thesis) in 2003 on "Evolutionary Algorithms and Dynamic Optimization Problems" at the University of Stuttgart, where he previously worked as a Research Associate in the Department of Formal Concepts at the Institute of Computer Science. Before that, he was a Research Assistant at the Chair of Computer Architecture at the University of Tübingen. His educational background includes a Diploma in Computer Science and M.Sc. in Computer Science (both 1997), with studies at the University of Massachusetts at Amherst (1995-1997) and the University of Stuttgart (1990-1997) where he also minored in Mathematics.

• Network Functions Virtualization (NFV)
• Dependability modeling
• Wireless network security
• +۴ مورد دیگر

Besmir Tola serves as Associate Professor in the Department of Information Security and Communication Technology at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His academic trajectory progressed from Researcher (2019-2020) to Assistant Professor (2020-2022) and current Associate Professor role since 2022, following a Marie Curie Research Fellowship (2015-2019). He maintains active industry connections through visiting positions at Nokia Bell Labs (2016) and SIKT (2018). His educational background includes: Master of Science in Electronic and Telecommunication Engineering, University of Siena, Italy PhD in Information Security and Communication Technology, NTNU Dr. Tola's research program centers on critical challenges in network virtualization and security, with four pillars: dependability modeling of softwareized networks, performance analysis of virtualized services, wireless security, and orchestration of softwarized networks. His work bridges theoretical modeling and practical implementation, particularly addressing carrier-grade requirements for Network Functions Virtualization (NFV) in telecom infrastructure. Key contributions include novel approaches to software rejuvenation for NFV-MANO systems and redundancy allocation mechanisms for high-availability services. Analysis of his 15+ publications (2015-2023) reveals an evolving research trajectory: early work established foundational models for cloud service failures (2017), followed by comprehensive NFV availability frameworks (2019-2021), and recent innovations in offline communication security (2022-2023). The publications consistently address resilience engineering across journals like IEEE Transactions on Network and Service Management and conferences including IEEE INFOCOM. His primary recognition is the prestigious Marie S. Curie Research Fellowship under the CleanSky ITN project, enabling international collaboration on critical network virtualization challenges. This fellowship represents significant competitive research funding in the European research landscape. Dr. Tola actively contributes to pedagogy as instructor for core networking courses including Interconnected Networks and Network Security (DCST2001) and Data Communication and Networks (DCST1006), implementing innovative flipped classroom approaches as documented in his 2022 UNIPED Program presentation. He advises bachelor students in the Digital Infrastructure and Cyber Security program through DCST2900 thesis supervision. He leads research within NTNU's Networking Research Group and extends impact through Cisco Networking Academy accreditation for CCNA, DevNet, CyberOps, and Cloud Security training. His IEEE leadership includes Chairing the NTNU Student Branch (2018-2021) and serving on the Norway Section Executive Committee (2018-2019).

• Computer Vision
• Machine Learning
• Medical Image Analysis
• +۴ مورد دیگر

Dr. Xianfang Sun is a Senior Lecturer at Cardiff University's School of Computer Science and Informatics, where they have been a faculty member since 2005. Their research bridges traditional control theory with modern computer vision and machine learning applications. They actively supervise postgraduate students and maintain collaborations across multiple disciplines. Dr. Sun's research spans machine learning, computer vision, and graphics with a focus on medical imaging applications. Their work demonstrates a clear evolution from early control theory research toward applied computer vision systems, particularly in medical diagnostics and agricultural technology. Current projects emphasize lightweight architectures for real-world deployment, especially in brain tumor segmentation and fruit ripeness detection systems. Their publication record reveals strong trends in medical image analysis (brain tumor segmentation, cancer cell manipulation), agricultural computer vision (fruit ripeness detection), and media forensics. Recent work prioritizes clinically adaptable systems with computational efficiency, showing practical implementation focus rather than purely theoretical contributions. Dr. Sun has secured funding through EPSRC projects and previously led NSFC and 863 Program projects in China. Their supervision interests include AI for medical diagnosis, image processing, pattern recognition, and 3D geometry processing. Based at Cardiff University's Abacws building, Dr. Sun maintains active research in both theoretical and applied aspects of visual computing, with recent work showing increasing emphasis on real-world medical applications requiring robust and efficient implementations.

Liming Zhuمشاهده پروفایل

استاد

• Software Architecture
• Distributed Systems
• DevOps
• +۶ مورد دیگر

Dr. Liming Zhu is a Conjoint Full Professor at the School of Computer Science and Engineering, University of New South Wales, and leads the Software and Computational Systems Research Program at Data61, CSIRO. This research program comprises over 200 personnel working across key technology domains including big data analytics infrastructure, computational science platforms, trustworthy systems, distributed systems, business process management, legal informatics, provenance tracking, behavior analytics, blockchains, and software engineering. His research expertise spans software architecture in enterprise and embedded systems, dependable and secure distributed systems, DevOps and continuous deployment methodologies, big data analytics infrastructure and pipelines, blockchain applications, software ecosystems, and model-driven development. His work intersects with multiple Fields of Research including Computer Software, Distributed Computing, Software Engineering, Computer System Security, and Data Security. Zhu's publication record demonstrates significant scholarly impact with 97 journal articles, 186 conference papers, 39 preprints, 7 book chapters, and 1 authored book. His research program at Data61 focuses on translating theoretical advances into practical systems that address real-world challenges in data management, system security, and software development processes. The research program has particular strength in developing infrastructure for computational sciences, including specialized applications in imaging processing and bioinformatics/life sciences. Software and Computational Systems Research Program, Data61, CSIRO (Leadership role) School of Computer Science and Engineering, University of New South Wales (Conjoint Full Professor) Dr. Zhu actively supervises PhD students at UNSW, having successfully guided 6 doctoral candidates to completion as primary supervisor. His teaching focuses on software architecture courses, connecting academic theory with industry practice. The research program he leads serves as a bridge between academic inquiry and practical application, working closely with industry partners to develop innovative solutions in data platforms, trustworthy systems, and software engineering practices.

Utu Ilieمشاهده پروفایل

دانشیار

• Power Systems Engineering
• Energy Transition
• Electrical Networks
• +۴ مورد دیگر

Utu Ilie is an Associate Professor and currently serves as Dean of the Faculty of Mechanical and Electrical Engineering at the University of Petroşani. His academic role is centered within the Department of Automation, Computers, Electrical and Power Engineering. His research focuses on power systems engineering, energy transition strategies, grid resilience, and industrial energy efficiency. Key areas include optimizing power transmission, integrating renewable energy sources, and addressing occupational safety in critical infrastructure. Recent articles highlight work on power substation stability, smart grid technologies, and decarbonization. His publications emphasize practical solutions for energy security, grid modernization, and compliance with EU sustainability targets. Ilie has also contributed to educational materials on electrical machines and automation systems. His work underscores the importance of bridging theoretical research with industrial applications, particularly in Romania's energy sector. No specific awards or grants are explicitly mentioned in the provided texts, though his extensive publication record reflects active engagement in both academic and applied research.

• Software Engineering
• Information Security
• Requirements Engineering
• +۸ مورد دیگر

Vaibhav K. Anu is a prominent software engineering researcher with significant contributions to information security, requirements engineering, and computer science education. His work focuses on human error analysis in software development, vulnerability prediction, and integrating cybersecurity concepts into educational curricula. Core Research Areas: Software metrics, human error taxonomy, vulnerability detection, educational technology Recent Trends: Expanding into K-12 computer science education and AI for STEM learning Publication Highlights show interdisciplinary work spanning: • Security Governance - Taxonomy of security metrics • Educational Innovation - Developing AI case studies for middle school • Error Analysis - Creating systematic frameworks for requirements inspection Collaboration Network includes researchers from: Seton Hall University (Gursimran Walia) University of Alabama in Huntsville (Jeffrey Carver) Stevens Institute of Technology (Katherine Herbert)

• Horticulture
• Greenhouse Technology
• Sustainable Agriculture
• +۵ مورد دیگر

Cecilia Stanghellini is a researcher at Wageningen University & Research specializing in Greenhouse Technology and Sustainable Agriculture . Her work focuses on optimizing resource efficiency in controlled-environment agriculture through advanced greenhouse systems. Key Research Areas : Circular economy in horticulture, light and energy management, water conservation, and urban agriculture. Projects : Leading EU initiatives like EDEN-ISS (space agriculture) and FoodE (urban food systems). Recent publications highlight innovations in phosphorus recycling , passive solar spectrum manipulation , and vertical farming sustainability . She supervises PhD candidates in projects exploring closed-loop systems and climate-resilient greenhouse design. Her work with datasets and international collaborations demonstrates a commitment to global agricultural challenges, including those in arid regions and extraterrestrial environments like Mars and the South Pole.

Joydeep Bhattacharjeeمشاهده پروفایل

استاد

• Wetland Ecology
• Restoration Ecology
• Biodiversity Conservation
• +۷ مورد دیگر

Dr. Joydeep Bhattacharjee serves as Professor of Biology and Graduate Program Coordinator in the School of Sciences at the University of Louisiana at Monroe (ULM). His work bridges wetland ecology, biodiversity conservation, and climate change research with significant fieldwork in Himalayan hotspots, Louisiana wetlands, and the Rio Grande Valley. Education: Ph.D. in Wildlife Science, Texas Tech University (2005) M.S. in Botany (Cytology & Genetics), North Bengal University, India (2000, Distinction) B.S. in Botany (Minors: Zoology & Chemistry), Siliguri College, India (1996) Research Focus: His expertise spans wetland restoration, invasive species dynamics, and carbon sequestration in high-altitude ecosystems. He pioneers computational approaches to ecological modeling while investigating plant community responses to climate stressors. His work in northeastern Himalayas through the Obama-Singh Initiative highlights transnational conservation efforts. Publication Trends: Recent articles reveal strong emphasis on riparian restoration (cottonwood-saltcedar competition), climate monitoring (methane flux stations), and pollution impacts (lichen biomonitoring). His work consistently integrates field ecology with computational modeling to address biodiversity loss in vulnerable ecosystems. Grant Leadership: As Principal Investigator, he secured $250K for Himalayan biodiversity assessment and $86K for Louisiana carbon flux monitoring. Key funded projects include Wildlife Habitat Evaluation in Restored Bottomland Hardwoods ($46K) and Out Standing in the Field STEM education initiatives ($127K), demonstrating commitment to both ecological research and science pedagogy. Collaborative Networks: He maintains active partnerships with Oklahoma State University (wetland ecology), Kansas State University (riparian systems), North Carolina State University (carbon modeling), and Indian institutions for Himalayan conservation projects, reflecting his interdisciplinary approach to global environmental challenges.

Stephane Faulknerمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Requirement Engineering
• +۷ مورد دیگر

Stephane Faulkner is a researcher at the Namur Digital Institute , University of Namur. Holding a Doctor of Economics degree, his work bridges Multi-Agent Systems , Requirement Engineering , and Blockchain applications in Information Systems. He supervises PhD candidates like Vermaut, B. and DEHOUSSE, S. and contributes to projects such as the Data-Intensive Recommendation Framework for Player Selection in Sport Management . Research Trends : Recent work includes Generative AI in decision-support systems (2025) Bibliometric analysis of soccer performance (2024) Blockchain-based requirements engineering (2021) User interface modeling from informal designs (2005) Affiliations : He collaborates with researchers across Europe, with projects spanning software engineering, sports analytics, and decentralized applications. His expertise aligns with UN SDGs in education and digital transformation.

Alfred Taudesمشاهده پروفایل

استاد

• Operations and Supply Chain Management
• Cryptoeconomics
• Blockchain Technology
• +۵ مورد دیگر

Alfred Taudes is a Full Professor at WU Vienna University of Economics and Business, affiliated with the Department of Information Systems and Operations Management and the Institute for Production Management. His research focuses on the intersection of Operations and Supply Chain Management, Cryptoeconomics, and Blockchain Technology, with an emphasis on Digitalization’s impact on Operations Management and Decentralized Finance. Doctoral Degree in Business Administration (WU Vienna) Magister Degree in Management Information Systems (Vienna University) PhD (Habilitation) in both fields (WU Vienna) Over his career, he has led large-scale research projects such as the WWTF-project "Integrated Demand and Supply Chain Management" and the Special Research Area "Adaptive Models in Economics and Management Science." He has also served as a visiting professor at universities in Augsburg, Münster, Essen, and Tsukuba, Japan. The recent 15 articles highlight his work in Blockchain Applications, Cryptoeconomics, and Supply Chain Resilience, with sub-fields including Smart Contracts, Decentralized Federated Learning, and Cryptographic Solutions for Operational Challenges. These publications reflect his interest in leveraging advanced technologies to address complex problems in Finance and Operations. Cooperation Officer of the Year 2013/14 (2015) Distinguished Paper Award WI 2009 (2009) VHB Best Paper Award (2009) Nomination VHB Best Paper Award (2008) Dr. Wolfgang Houska - Recognition Award (2007) His advisory and grant work spans major European research initiatives, including the Austrian Blockchain Center and projects on Decentralized Finance. He has also contributed to labs and teams focused on Blockchain and Cryptoeconomics, such as the Institute for Production Management and the WU Working Paper Series on Cryptoeconomics.

• Atomic-scale manufacturing
• Plasma-assisted hybrid machining
• Electrochemistry-assisted hybrid machining
• +۵ مورد دیگر

Deng Hui is a tenured Associate Professor and doctoral supervisor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he serves as Director of the Shenzhen Semiconductor Special Equipment Engineering Research Center and the Huawei-SUSTech Ultra-Precision Manufacturing and Measurement Innovation Laboratory. He established the Plasma Advanced Manufacturing Laboratory (APMLab) in 2017 and leads research focused on atomic-scale precision manufacturing technologies. Education: Ph.D. in Precision Science & Technology, Osaka University (2016) M.A. in Precision Science & Technology, Osaka University (2013) B.Sc. in Mechanical Design and Automation, Huazhong University of Science and Technology (2010) Dr. Deng's research spans atomic and near-atomic scale manufacturing, with emphasis on plasma-assisted and electrochemistry-assisted hybrid machining techniques. His work bridges fundamental atomic-scale physical and chemical reactions with practical applications in semiconductor manufacturing. The research focuses on two complementary approaches: developing non-stress atomic-level material removal methods for microscale atomic-precision manufacturing, and implementing numerical control machining algorithms for macroscale nanometer-precision manufacturing. His innovations address critical challenges in semiconductor manufacturing where atomic-level surface control is essential. Analysis of his publication record reveals a consistent focus on plasma and electrochemical techniques for ultra-precision surface processing of challenging materials like silicon carbide, gallium nitride, and diamond. His work demonstrates progression from fundamental mechanisms to practical applications, with increasing emphasis on semiconductor manufacturing challenges in recent years. Selected Awards: Rudolf Kingslake Award from SPIE (2016) Multiple listings in "Top 2% Scientists in the World" (2020-2023) Best Paper/Presentation Awards from international conferences Japan Machine Tool Technology Promotion Award (2014) Dr. Deng actively mentors graduate students and has secured significant research funding for his laboratory. He serves on editorial boards for prestigious journals including International Journal of Extreme Manufacturing and Nanomanufacturing and Metrology. His laboratory maintains strong international collaborations, particularly with Osaka University in Japan, and has established partnerships with industry through the Huawei-SUSTech Innovation Laboratory. The Plasma Advanced Manufacturing Laboratory (APMLab) focuses on cutting-edge research in atomic-scale material processing, with particular emphasis on semiconductor manufacturing applications. The lab maintains state-of-the-art plasma processing equipment and collaborates closely with semiconductor industry partners to address real-world manufacturing challenges requiring atomic-level precision.

• Autonomous Systems
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Muhammad Adnan serves as a Research Fellow at the Department of Technology and Safety, UiT The Arctic University of Norway, with contact details including email muhammad.adnan@uit.no and phone +47 77 66 02 47. His research spans critical domains in modern engineering and computer science, with primary focus areas: Autonomous Maritime Systems : Developing operational frameworks for remotely controlled vessels and onshore operation centers Machine Learning Applications : Advancing ensemble methods for classification, spam detection, and remote sensing Computer Vision Integration : Leveraging electro-optical/NIR sensors for maritime object detection Cybersecurity Solutions : Enhancing email security through stacking ensemble techniques Recent publications (2023-2024) reveal a concentrated research trajectory merging maritime autonomy with AI-driven solutions, demonstrating significant interdisciplinary work across navigation support systems, sensor fusion, and transfer learning applications. His output shows consistent publication in high-impact journals with practical engineering implementations. No scientific awards were documented in the provided materials. Information regarding student supervision, grant funding, or laboratory affiliations was not available in the source text.

Marcus Vögtleمشاهده پروفایل

استاد

• Empirical Capital Market Research
• Investment Banking
• Corporate Finance
• +۳ مورد دیگر

Prof. Dr. Marcus Vögtle serves as Professor and Head of the Business Administration-Banking program within the Faculty of Economics at Baden-Württemberg Cooperative State University Villingen-Schwenningen since 2009, having joined the institution as Professor in 2003. His academic leadership spans over 15 years in dual higher education systems. His educational foundation includes a Diploma in Economics from Albert Ludwig University of Freiburg (1987-1992), banker training at Deutsche Bank AG (1985-1987), and research associate position at the same university (1992-1996), culminating in his 1996 PhD. Vögtle's research centers on empirical capital market analysis, investment banking practices, and corporate valuation methodologies. His work bridges theoretical finance with practical banking applications, particularly examining German/European market structures. Key investigation areas include shareholder value drivers, defensive M&A tactics, and innovative financial instruments like green bonds and catastrophe bonds. He emphasizes real-world case studies from eurozone transactions and regulatory environments. Publication trends reveal evolving focus from foundational banking information systems (1990s) to contemporary capital market instruments. Recent work analyzes crisis-response mechanisms (banking/catastrophe bonds), ESG finance (green bonds), and market microstructure (ETFs), consistently applying empirical methods to German/European contexts with strong practitioner relevance. No scientific awards were documented in the source materials. Regarding academic mentoring, no student lists or grant details were provided. His teaching portfolio includes Financial Markets, Corporate Finance, Mergers & Acquisitions, and Value-oriented Management, reflecting his research expertise. No dedicated research laboratories or teams were mentioned in institutional documentation.

• Material Flow Analysis
• Remote Sensing
• Emission Reduction
• +۶ مورد دیگر

Kun Sun is a postdoctoral researcher at the Department of Green Technology (IGT) within the Faculty of Engineering at the University of Southern Denmark. His work intersects machine learning, remote sensing, and urban sustainability, focusing on material flow analysis and environmental impact assessment. Research Interests: Active in material flow analysis, remote sensing applications, and emission reduction strategies, Kun Sun's research combines deep learning techniques with environmental science to address urban sustainability challenges. His recent projects include building material identification and sociometabolic transitions in Eastern Europe. Scientific Awards: Contributed to the project "Exploring the green transformation of the Danish pork supply chain and its contribution to carbon neutrality" (2025). Projects: Participates in ongoing research analyzing the Danish pork supply chain's role in achieving carbon neutrality. This work emphasizes circular economy strategies and industry transformation. Media Contributions: Has been featured in three 2025 press releases discussing AI applications for building material recycling, climate benefits in AI, and scanning technologies for urban sustainability.