جست‌وجوی استاد و پژوهشگر

• Computer Science
• Artificial Intelligence
• Operating Systems
• +۳ مورد دیگر

Dr. Dylan Schwesinger is an instructor at Kutztown University's Department of Computer Science and Information Technology. He teaches graduate and undergraduate courses including CPSC 354 (Software Engineering I), CPSC 510 (Advanced Operating Systems), and CPSC 548 (Artificial Intelligence II). His courses cover topics such as system administration, DevOps, machine learning, and reinforcement learning. Dr. Schwesinger holds regular office hours Monday/Wednesday 4:00pm–5:30pm and Tuesday/Thursday 10:00am–11:00am. He is affiliated with the university's Computer Science department and utilizes both in-person and Zoom-based teaching methods. His instructional responsibilities include guiding students through software development lifecycles, operating system design, and advanced AI methodologies. Dr. Schwesinger maintains adherence to the university's CS&IT documentation standards and academic integrity policies. Additional resources for his courses include detailed syllabi and supplementary materials available through course portals.

Angela Schreyerمشاهده پروفایل

استاد

• Content Management
• Document Management
• Information Systems
• +۴ مورد دیگر

Prof. Dr. Angela Schreyer is a Professor of Content Management at the Department of Information Science, University of Applied Sciences Potsdam. She holds a doctoral degree in Arabic Studies from the University of Leipzig and has extensive training in scientific documentation and computer science. Her academic roles include Deputy Chair of the Audit Committee and participation in the DIN-NID working group on Records Management and the Brandenburgische Arbeitsgemeinschaft Information (BRAGI). Her research focuses on content management systems (CMS), digital asset management, records management, and document lifecycle processes. She has published extensively on topics like ISO-compliant appraisal frameworks, digital archives, and interdisciplinary applications of photographic archives. Her teaching spans Information Systems, Records Management, and Digital Asset Management across bachelor’s and master’s programs. Prof. Schreyer has supervised over 100 theses since 2004, covering areas like digital heritage preservation, contract management systems, and accessibility standards. She has contributed to projects such as the Philipp Holzmann AG image archive and the development of Typo3-based CMS at her institution. Her work bridges technical systems, archival practices, and educational innovation in information science. Education: University of Leipzig (Certified Interpreter), TU Dresden (Computer Science) Professional Training: Advanced documentation studies at FH Potsdam Key publications include works on risk-oriented records management (2021), curriculum redesign (2016), and digital archive systems (2010). Her research emphasizes practical applications of information systems in public and corporate contexts.

Mifrah Ahmadمشاهده پروفایل

مدرس ارشد

• Educational Game Design
• Gamification in Education
• Game-based Learning
• +۷ مورد دیگر

Dr. Mifrah Ahmad is a Senior Lecturer at Torrens University in the Department of Design and Creative Technology. She specializes in educational game design, blending software engineering principles with experiential and transformative learning theories. Her research focuses on bridging game design and education through qualitative and participatory approaches, including co-design methodologies between teachers and game designers. Dr. Ahmad holds a Ph.D. in Educational Game Design from Deakin University (2023), a Master’s in Computer Science from Universiti Teknologi Petronas (2015), and a BSc in Information and Communication Technology with a software engineering focus (2013). She has taught across disciplines at institutions in Malaysia and Australia since 2013, emphasizing adaptive and interdisciplinary education. Her research interests span gamification in education, teachers’ use of games in classrooms, VR/AI integration in learning, and design thinking. She explores how game elements scaffold student learning and examines educators’ practices through participatory design frameworks. Recent publications analyze game designers’ experiences, software perspectives in educational games, and teacher-student interactions in digital environments. She actively seeks to standardize educational game design processes and co-design models with multidisciplinary teams. Dr. Ahmad is currently accepting PhD students for projects on games in education, VR/AI applications, and participatory research methods.

• High-Performance Computer Architectures
• Cloud Computing Systems
• Internet-of-Things (IoT)
• +۳ مورد دیگر

Panagiotis Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving as Dean of the School of Electrical and Computer Engineering. He holds a PhD in Computer Engineering from NTUA (1988) and has extensive academic experience in parallel computing, medical informatics, and IoT applications. His work includes co-authoring seven textbooks on computer systems and supervising eight doctoral dissertations. Prof. Tsanakas has led major national and EU projects like EuroHPC and GRNET, managing Greece's academic networks and supercomputing infrastructure (ARIS). He pioneered systems like Eudoxus (textbook distribution), ZEUS (secure e-voting), and DIAVLOS (webcasting). His professional roles include Board membership of EuroHPC and leadership in GRNET, contributing to €60M annual savings through tech optimization. Research focuses on high-performance architectures, cloud systems, and AI in healthcare. He has published over 100 papers and actively teaches courses like Digital Health Technologies and Computer Architecture. His projects emphasize medical informatics, telemedicine platforms, and IoT-enabled health monitoring.

• Software Engineering
• Agile Methodologies
• Product Management
• +۳ مورد دیگر

Marthe Nordengen Berntzen holds dual affiliations: as a Scientific Assistant at BI Norwegian Business School and a Postdoctoral Fellow in Software Engineering at the University of Oslo’s Department of Informatics. Her research focuses on coordination mechanisms and software product management within large-scale Agile contexts, particularly in FinTech and organizational networks. She has contributed to understanding how social capital and empirical studies inform effective Agile practices in complex environments. Education: PhD in Software Engineering (2023) from BI Norwegian Business School (implied via doctoral thesis). Research interests include Agile methodologies, coordination theory, and scaling Agile frameworks in large-scale systems. Her work bridges theoretical insights with empirical studies, addressing challenges in organizational behavior and software development lifecycle management. Her articles explore coordination challenges in FinTech organizations, large-scale Agile adoption, and product management strategies, highlighting practical applications of Agile principles in complex contexts.

Stijn Hoppenbrouwersمشاهده پروفایل

مدرس

• Data & Knowledge Engineering
• Information Systems
• Data Governance
• +۴ مورد دیگر

Stijn Hoppenbrouwers is a lecturer and researcher at HAN University of Applied Sciences, affiliated with the Data & Knowledge Engineering Research Group. He holds a PhD in Computer Science and has over 30 years of experience in the interplay between language, information, knowledge, users, and systems. His expertise includes data governance, knowledge engineering, and collaborative modeling frameworks. He co-founded the part-time Master's program in Data Science at HAN and collaborates with institutions like Radboud University and TU/e. His research focuses on human-centered design of information systems, integrating socio-technical perspectives with computational methods. Key projects include the Bird's Eye Perspective (BEP27) learning environment, ICAI Lab for Energy Grids (AI-driven energy solutions), and the DEMAND project addressing data integration challenges. He also explores tax rule formalization (RegelSpraak) and healthcare predictive analytics. Stijn is active in knowledge transfer, serving on the ERDF-East expert committee and collaborating with municipalities, government agencies, and industry partners. His work emphasizes practical applications of AI, data engineering, and conceptual modeling in both academic and industrial contexts.

• Sustainable Transformation
• Smart Manufacturing
• Business Process Management
• +۵ مورد دیگر

Academic Profile Dr. Lai Xu is an Associate Professor in the Faculty of Science and Technology at Bournemouth University, UK. She holds a PhD in Computerized Information Systems from Tilburg University (2004), an MSc in Telecommunication and Information Systems from Xidian University (1999), and a BSc in Computer Science from Wuhan University of Technology (1992). Research Expertise Her research focuses on sustainable transformation , smart manufacturing , and digital enterprise solutions. Key domains include: Virtual factories and Industry 4.0 technologies Business Process as a Service (BPaaS) Enterprise interoperability and collaborative systems Digital twins for supply chain resilience Predictive maintenance in flexible manufacturing Publication Trends Recent work emphasizes Industry 4.0 applications , particularly digital twins for manufacturing optimization (2022-2025). Earlier research laid foundations in service-oriented architectures, e-contracting, and virtual enterprise modeling (2004-2018). A consistent focus on process innovation and cross-organizational collaboration spans her 130+ publications. Grants & Projects Principal Investigator for: EU Horizon SUSHEAS (Sustainable High Entropy Alloys, 2025) EU H2020 FIRST (Virtual Factories, €1.2M, 2017-2022) Developing Sustainable Intelligent Supply Chain (2022) Professional Engagements Represents the UK in IFIP WG 5.5 on Virtual Enterprises. Editorial board member for the International Journal of Simulation and Process Modelling . Regular reviewer for IEEE Transactions on Services Computing and other top journals.

• Social Media Analytics
• Text Mining
• Product Innovation
• +۷ مورد دیگر

Dr. Zhilei Qiao is an Assistant Professor of Information Systems at the Collat School of Business, University of Alabama at Birmingham (UAB). He holds a Ph.D. in Business Information Technology from Virginia Tech and has over seven years of IT industry experience with global companies like Infosys and DNV. His research focuses on social media analytics, text mining, and product innovation, with applications in healthcare, education, and mobile technology. Dr. Qiao has been recognized with awards such as the Best Research Paper Award at the 2020 Pre-ICIS Workshop SIGDSA and the Best Research Paper Runner-Up Award at the 2015 Business Analytics Congress. His work spans analyzing user-generated content to improve product innovation, examining AI’s impact on education, and studying cybersecurity risks in IoT devices. He has published in journals like the Journal of Management Information Systems and Journal of Computational and Graphical Statistics , and presented at conferences such as HICSS and AOM. Dr. Qiao teaches courses in business analytics, data science, and programming, including Introduction to Business Intelligence and Advanced Business Analytics . Professional activities include editorial roles for journals like Electronic Commerce Research and Applications and service on conference committees for events like AMCIS and CSWIM. His research interests also extend to entrepreneurship, mobile analytics, and the ethical implications of AI in education and healthcare.

Brian Baileyمشاهده پروفایل

دانشیار مدعو

• Web & Software Development
• Technical Management
• Networking
• +۳ مورد دیگر

Brian Bailey is an Adjunct Associate Professor in the Department of Information Technology and Management at the College of Computing, Illinois Institute of Technology. He holds an M.I.T.M. in Web & Software Development from Illinois Tech, a B.S. in Technical Management (Networking, IT, Project Management) from DeVry University, and an A.A.S. in Desktop/Graphic Design from College of DuPage. His professional role includes serving as Lead Experiment Engineer at Cro Metrics. Research interests focus on applied information technology management, software development methodologies, network infrastructure optimization, and interdisciplinary technical project leadership. Current work emphasizes bridging academic research with industry practices in software development lifecycle and IT project governance. No academic awards or grants are explicitly listed in available records. Advising activities and laboratory affiliations are not documented in the provided text. Office hours are by appointment only.

Ahmad Z. Naserمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Additive Manufacturing
• Sustainability Assessment
• +۴ مورد دیگر

Dr. Ahmad Z. Naser is an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. He leads the Smart and Sustainable Advanced Manufacturing (S²↔AM) Lab, focusing on AI-driven manufacturing, sustainability optimization, and circular economy principles. His research integrates computational intelligence, IoT, and machine learning to create sustainable manufacturing solutions. Education: B.Sc. & M.Sc. in Mechanical Engineering from American University of Sharjah (2009-2016), followed by a Ph.D. from the University of Guelph (2021-2023). Notably, he was nominated for the prestigious Governor General's Gold Medal. Before academia, he worked at NMDC Energy, a leading MENA energy company. Research Interests include Additive Manufacturing, AI applications, bio-based polymers, and sustainability assessment. His work emphasizes interdisciplinary collaboration to address global manufacturing challenges. The S²↔AM Lab prioritizes equity, diversity, and inclusion to foster innovation. Recent Research Trends: His publications (2023-2025) highlight advancements in machine learning for sustainability optimization, hybrid models for multi-criteria decision-making, and automated lifecycle assessment frameworks. Key areas include clustering algorithms, anomaly detection, and symbolic regression applied to manufacturing challenges. Awards: Nominee for Governor General's Gold Medal (2023) Advising: Supervises Ph.D., Master’s, and undergraduate students (e.g., Mohammad Obohat, Taskir Haque) in smart sustainable Additive Manufacturing. Labs/Teams: S²↔AM Lab focuses on equitable innovation, blending AI and sustainability in manufacturing systems.

• Business Process Management
• Artificial Intelligence
• Computer Science
• +۱ مورد دیگر

Fabiana Fournier is an active researcher at IBM Research, Haifa, Israel , focusing on business process management, artificial intelligence, and event-driven systems. Her work bridges theoretical advancements with practical applications in explainable AI, causal process modeling, and blockchain technologies. Key Research Themes: Explainability in business processes, causal dependency discovery, LLM-driven process analysis, and temporal aspects in smart contracts Recent Trends: Publications center on benchmark creation for causal reasoning, monetizing financial sentiment analysis, and unification of process models

• Semantic Web Services
• B2B Integration
• Workflow Management
• +۳ مورد دیگر

Christoph Bussler is a prominent researcher with extensive contributions to Semantic Web Services B2B Integration Cloud Computing Workflow Management Enterprise Application Integration His work focuses on semantic technologies, data engineering, and optimization frameworks. Recent publications analyze Cloud storage tier optimization Graph-based cost modeling Taxonomy for cloud storage costs Serverless-container hybrid systems SQL for NoSQL databases These studies emphasize scalable solutions and semantic interoperability. He has collaborated with experts like Dumitru Roman, Radu Prodan, and Dieter Fensel on projects involving Triple Space Computing WSMX Architecture Peer-to-Peer Service Discovery Rule-Based Classification

Marija Zahar Đorđevićمشاهده پروفایل

پژوهشگر

• Quality Management
• Digital Manufacturing
• Logistics Systems
• +۳ مورد دیگر

Marija Zahar Đorđević is a Researcher at the University of Kragujevac's Faculty of Engineering, affiliated with the Department of Production Engineering. Her work focuses on advanced manufacturing systems, quality management, and digital transformation in industrial and business processes. She holds a position since 2020 and contributes to research in technical-technological sciences with a specialization in mechanical engineering. Her research interests span Quality 4.0/5.0 systems, digital manufacturing technologies, logistics optimization, and software engineering applications. She has extensively explored smart quality frameworks, IoT-enabled logistics systems, and the integration of fuzzy logic methodologies in decision-making processes. Publications highlight her expertise in cloud-based ecological solutions, game development methodologies, and vulnerability assessment tools for projects in uncertain environments. Her work emphasizes real-world applications of theoretical models in SMEs and military logistics contexts. Her contributions include developing web-based applications using modern architectures (e.g., SPA) and ERP software analysis. She has also addressed challenges in project lifecycle quality, risk exposure in startups, and economic factors influencing quality of life.

Richard Scamellمشاهده پروفایل

استاد

• Database Management Systems
• Research Methodology
• Impact of Information Systems on Organizational Dynamics
• +۳ مورد دیگر

Richard Scamell is a Professor and Associate Dean for Student Affairs in the Decision and Information Sciences Department at the C. T. Bauer College of Business, University of Houston. He has been at the University since 1972, contributing over five decades to academia. Scamell holds a Ph.D., MBA, and B.A. in Statistics and Operations Research from the University of Texas at Austin. His teaching focuses on Database Management Systems, Decision Support Systems, and MIS Research Methods. He has advised over 60 doctoral students, chairing 16 committees, and received multiple Excellence in Teaching awards. His research spans database systems, information systems impact on organizations, and groupware acceptance, with publications in MIS Quarterly , Management Science , and IEEE Transactions . He co-authored Data Modeling and Database Design (Cengage Learning, 2015). Scamell serves as the NCAA Faculty Athletics Representative and has held interim roles in university administration. His work emphasizes human-centered IT design and organizational dynamics. Research Interests : Database Management Systems, Human-Computer Interface, Information Systems Impact, Research Methodology. Key Contributions : Pioneering studies in groupware adoption, SQL vs. QBE usability, and long-term academic service. His research bridges technology and organizational behavior, emphasizing practical applications in education and industry.

Janis Terpennyمشاهده پروفایل

استاد

• Smart Manufacturing Systems
• Design Education
• Digital Twin Technologies
• +۳ مورد دیگر

Janis Terpenny is a Professor at George Mason University with joint appointments in the Department of Systems Engineering and Operations Research and the Department of Mechanical Engineering. She brings extensive leadership experience from previous roles including Dean of Engineering at the University of Tennessee, Department Head at Penn State and Iowa State, and Director of the NSF Center for e-Design. Her research focuses on smart integrated systems for manufacturing and design education innovations. Education: PhD and MS in Industrial and Systems Engineering from Virginia Tech, BS in Applied Mathematics from Virginia Commonwealth University Her research spans smart manufacturing systems, design engineering, digital twins, and engineering pedagogy. Recent work emphasizes predictive maintenance algorithms and democratizing additive manufacturing through cloud platforms. She has received recognition as Fellow of ASME and IISE. Key scientific contributions include developing data fusion frameworks for manufacturing quality control, creating cloud-enabled predictive maintenance systems, and advancing ontology-based design tools for product lifecycle management. Her editorial roles include Area Editor for Engineering Economist and board membership at Computers in Industry . NSF Center for e-Design Director Digital Manufacturing Commons™ Initiative Leader Industry experience with General Electric Professional affiliations include AAAS, Alpha Pi Mu, ASEE, SME, and Tau Beta Pi. Current research explores AI-driven manufacturing diagnostics, inclusive engineering education models, and cloud-based design optimization.