جست‌وجوی استاد و پژوهشگر

• Product Development
• Engineering Design
• Production Engineering
• +۵ مورد دیگر

Damien Motte serves as a Senior Lecturer at the Department of Design Sciences within Lund University's Faculty of Engineering (LTH), Sweden. His role integrates teaching innovation with research in engineering design and product development methodologies across industrial contexts. His academic credentials include: PhD in Product Development from Lund University Research Master in Industrial Engineering from École Centrale Paris MSc in Industrial Engineering from École des Mines d’Albi Motte's research spans production engineering, human work science, and ergonomics with emphasis on agile transformation in manufacturing, 3D food printing applications, and AI-enhanced failure analysis. His work bridges technical design processes with organizational behavior and business model innovation, particularly examining knowledge boundaries in large-scale transformations and emerging technologies' impact on traditional engineering practices. Recent publications reveal an interdisciplinary trajectory connecting engineering design with business strategy and organizational dynamics. Key trends include applying agile principles to hardware development, leveraging additive manufacturing for sustainable food systems, and integrating large language models into reliability engineering frameworks—demonstrating consistent focus on methodological innovation at the intersection of human factors and technical systems. No scientific awards were documented in available sources. Motte actively contributes to academic development through PhD supervision and editorial work. He has served as second supervisor for four doctoral candidates while maintaining editorial board membership for the International Journal of Design Creativity and Innovation, reflecting commitment to both research mentorship and scholarly discourse. No dedicated laboratory or research team affiliations were specified in the source material.

• Immersive Multimedia Learning
• Computer-Supported Collaborative Learning (CSCL)
• Productive Failure
• +۳ مورد دیگر

Dr. Christian Hartmann serves as an Academic Councillor and Research Assistant at the Chair of Teaching and Learning with Digital Media within the TUM School of Education since 2020. With a PhD in Educational Science from Ruhr University Bochum (2020) and prior research assistant experience at Ruhr University's Educational Psychology Chair (2015-2020), he brings extensive expertise in digital learning environments. Bachelor's & Master's in Education and History from Ruhr University Bochum Visiting scholar at Carnegie Mellon University's HCI Institute (2016) His research focuses on immersive learning technologies , including: Vicarious failure mechanisms in education Computer-supported cooperative learning (CSCL) Adaptive learning systems with VR/AR Coherence formation in multimedia environments Key publication trends show significant contributions to: Productive failure analysis (2018-2025) Social VR collaboration tools (2023) Immersive technology's impact on special education (2023) AI integration in science education (2025) As a program committee member for DELFI 2022 VR/AR Learning workshop and reviewer for journals like Learning & Instruction , he actively shapes educational technology research. His work has been presented at major conferences including EARLI (Austria 2025, Germany 2024), DGPs Congress (Austria 2025), and AERA Annual Meeting (USA 2025). Current affiliations include the European Association for Research on Learning and Instruction (EARLI) , International Society of the Learning Sciences (ISLS) , and German Society for Psychology (DGPs) . The Immersive Virtual Reality Lab at TUM School of Education serves as his primary research environment.

Kalogeraki Vanaمشاهده پروفایل

استاد

• Distributed Systems
• Real-Time Systems
• Big Data Systems
• +۸ مورد دیگر

Prof. Vana Kalogeraki is a Faculty Member at the Department of Informatics , Athens University of Economics and Business (AUEB) , and serves as the Dean of the School of Information Sciences and Technology and Director of the Computer Systems and Communications Laboratory . She has held academic positions at the University of California, Riverside and was a Research Scientist at Hewlett-Packard Labs . PhD: University of California, Santa Barbara M.S. & B.S.: University of Crete, Greece Her research focuses on Distributed and Real-Time Systems , Big Data Systems , Cloud Computing , Human-Centered Systems , and Crowdsourcing . She has published over 200 papers at top journals (IEEE TPDS, ACM TOS, etc.) and conferences (RTSS, DSN, ICDCS, VLDB, MDM), including co-authoring the OMG CORBA Dynamic Scheduling Standard . Her 2023-2025 publications address AI pipelines in serverless environments, edge computing for trauma detection via eye-tracking, and fairness in resource scheduling. She has received prestigious awards including an ERC Starting Grant , Best Paper Awards (DEBS 2017, IPDPS 2009), a Best Poster Award (EuroSys 2024), and multiple UC Research Awards . Her research is funded by the European Union (ARISTEIA, THALIS), NSF, and industry partners like SUN and Nokia. Advising Legacy : Supervised 10 PhD graduates (now at Google, Amazon, IBM, Apple) and over 60 MS/PhD committees Labs & Teams : Leads the Computer Systems and Communications Laboratory at AUEB, focusing on mobile human-centered systems and urban data analytics

Yüksel Yurtayمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Science
• +۸ مورد دیگر

Assoc. Prof. Dr. Yüksel Yurtay is an active faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. With a career spanning over three decades at the university since 1993, he has established himself as a prominent researcher and educator in the fields of data science, artificial intelligence, and business analytics. Education: Doctorate (2011-2020): Sakarya University, Institute of Business Administration/Production Management and Marketing, Thesis: "An empirical study on the impact of the dashboard on decision processes in the context of supply chain management" Master's (1996-1998): Sakarya University, Institute of Social Sciences/Production Management and Marketing, Thesis: "Activity based costing system and an application in electro-mechanical industry" Bachelor's (1987-1991): Anadolu University, Faculty of Arts and Sciences/Mathematics Dr. Yurtay's research focuses on the intersection of data science and business applications, with particular emphasis on dashboard systems, key performance indicators, and supply chain management. His work bridges theoretical computer science with practical business applications, developing innovative solutions for performance monitoring, decision support, and process optimization. His research portfolio demonstrates consistent productivity with publications spanning from 2018 through 2025, showing no signs of slowing down. Analysis of Dr. Yurtay's recent publications (2018-2025) reveals several key research trajectories: a strong focus on dashboard and KPI systems for business decision-making, growing interest in AI applications for emotion recognition (particularly in call center contexts), development of novel metaheuristic algorithms for optimization problems, and application of computer vision techniques for specialized detection tasks. His work consistently combines theoretical algorithm development with practical business applications. Dr. Yurtay has successfully secured research funding from prestigious sources including TÜBİTAK (project 1505) and industry partnerships with companies like Turkcell Global Bilgi. His current projects focus on real-time emotion recognition using deep learning and business process optimization. As an educator, Dr. Yurtay teaches core courses in numerical analysis, software engineering, computer engineering design, and data science. He has supervised graduate theses, including Akın YAŞAR's work on real estate photo quality evaluation using deep learning. His teaching portfolio reflects his expertise across both theoretical computer science and applied data analytics.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +۶ مورد دیگر

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

• Modeling and Simulation
• Digital Twins
• Multi-Perspective Modeling
• +۴ مورد دیگر

Mamadou Kaba Traore is a Professor at the University of Bordeaux , affiliated with the Production Engineering research group and the MEI team at the Integration, Material to System (IMS) Laboratory. His work focuses on Modeling and Simulation (M&S), Digital Twins , and Multi-Perspective Modeling . Research Interests: Traore's research spans Discrete Event System Specification (DEVS) , HiLLS (High-Level Language for System Specification), Process Mining , and System Inference . He develops frameworks like DMFDT (Data Management Framework for Digital Twin) and contributes to Model-Driven Systems Engineering and Verification & Validation methodologies. Recent Publications: Traore co-authored works on Digital Twin verification, DEVS standardization, and applications of simulation to healthcare and urban systems. His 2023 chapter in the Body of Knowledge for Modeling and Simulation outlines core areas of M&S theory. Earlier studies explore Fuzzy Clustering and Parallel Simulation techniques.

James Floryمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Diabetes Management
• Clinical Trials
• +۳ مورد دیگر

James Flory is an Associate Professor of Population Health Sciences at Weill Cornell Medical College , Cornell University. With an MD and MSCE from the University of Pennsylvania (2009) and a BA from Columbia University (2002), he specializes in pharmacoepidemiology and clinical research related to diabetes management, drug safety, and healthcare policy. Education: M.D., University of Pennsylvania School of Medicine, 2009 M.S.C.E., University of Pennsylvania School of Medicine, 2009 B.A., Columbia University, 2002 His research focuses on the intersection of diabetes pharmacology , cardiovascular risk , and health services research . He has contributed extensively to understanding drug safety (e.g., sulfonylureas, SGLT2 inhibitors, TRK inhibitors), medication adherence , and clinical decision-making in diabetes and oncology settings. His methodological work includes instrumental variable analysis , pragmatic trial design , and real-world data validation . James Flory's recent publications examine temperature-related diabetes complications , AI in clinical decision support , and policy impacts on medication utilization . His work combines epidemiological methods with health informatics to address critical questions in diabetic care , drug safety surveillance , and health equity .

Francesca Fallucchiمشاهده پروفایل

دانشیار

• Computer Science
• Information Science
• Semantic Web
• +۷ مورد دیگر

Francesca Fallucchi is an Associate Professor at Guglielmo Marconi University in Rome since 2008 and an information scientist at Georg-Eckert-Institut (GEI) since July 2017, working in the Human-Centered Technologies for Educational Media department. Her research focuses on the intersection of computer science and humanities, with particular emphasis on knowledge organization , information retrieval , semantic technologies , and big data management applied to educational media and cultural heritage. Her work bridges theoretical computer science with practical applications in digital humanities. Analysis of her recent publications (2021-2024) reveals a research trajectory spanning multiple domains: from foundational work in semantic web and NLP to emerging applications in metaverse technologies, blockchain for energy monitoring, and explainable AI for healthcare. Her work consistently demonstrates interdisciplinary approaches combining computer science with domain-specific challenges. Dr. Fallucchi has been actively involved in academic service, including organizing the 17th International Conference on Metadata and Semantics Research (MTSR 2023) and serving as editor for Computers trade magazine since 2021. Her professional activities include significant project leadership as Deputy Project Manager for Edumeres Toolbox and contributions to numerous research projects including GLOTREC, GEI-Digital, PalTex, DemoS, PVE-E, and WorldViews.

Yuzhu Liمشاهده پروفایل

استاد

• Digital Transformation
• Blockchain
• No-code/Low-code Development
• +۷ مورد دیگر

Dr. Yuzhu Li is a Professor at the Department of Decision & Information Sciences , Charlton College of Business , University of Massachusetts Dartmouth . Her expertise spans Digital Transformation , Blockchain , Information Systems Development , and Project Management . She teaches courses in Customer Analytics , Business Analytics , and Agile Development , emphasizing CRM strategies , Data Mining , and Information Visualization . PhD in Business Administration, University of Central Florida (2008) Master of Technology Management , Washington State University (2002) BA in Information Systems , Nankai University (1999) Her research focuses on Emerging Technologies like blockchain and AI, Behavioral Project Management , and E-commerce frameworks. Key themes include Team Resilience , Control Systems in Interorganizational Teams , and Digital System Security , with recent articles analyzing Bitcoin vulnerabilities and collaborative project governance. Dr. Li serves as Treasurer of the New England Association of Information Systems Chapter, an Editorial Review Board Member of the Project Management Journal, and Associate Editor of the Nankai Business Review International. She actively contributes to the academic community through roles in international conferences and editorial committees.

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

• Artificial Intelligence
• Blockchain
• Wearable Devices
• +۴ مورد دیگر

Dr. Yining Hu is a Lecturer at the School of Computer Science , University of Technology Sydney since January 2024. Her research and teaching focus on Artificial Intelligence , Blockchain , Cloud Computing , and Wearable Technology . She holds a PhD from the University of New South Wales and has collaborated with industry partners on blockchain applications for IoT security and sustainability. PhD: University of New South Wales Current role: Lecturer at UTS School of Computer Science Key research areas: Wearables, Blockchain, Cloud Computing Dr. Hu's publications demonstrate her technical expertise in blockchain-IoT integration, with notable works on secure transaction frameworks and carbon offset management. Her recent 2025 paper in Electronics explores blockchain-DNN synergy for IoT security. Earlier works cover wearables' security protocols and adaptive fitness tracking frameworks. She contributes to academic service as a member of the Editorial Board for the International Journal on Data Science and Technology (2024-2027). Her teaching portfolio includes advanced cloud computing and software development courses, with availability for Masters/PhD supervision . Current funded research includes blockchain for food traceability and a 2025-2028 LLM-driven text-to-SQL grant with Hampton Capital.

Måns Magnussonمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Probabilistic Machine Learning
• Statistical Inference from Textual Data
• +۴ مورد دیگر

Måns Magnusson is an Associate Professor at the Department of Statistics, Uppsala University, with affiliations at the Institute for Analytical Sociology (Linköping University) and the Institute for Future Studies. His work bridges Bayesian statistics, probabilistic machine learning, and textual analysis, focusing on model evaluation, diagnostics, and inference algorithms. He contributes to computational social science and digital humanities through text-as-data methods. Research Themes: Bayesian inference, probabilistic machine learning, statistical inference from textual data Key Applications: Sociology, political science, law, education statistics, public health Current Projects: Improving probabilistic programming generalizability (Swedish Research Council grant), SWERIK research infrastructure (Riksbankens jubileumsfond) His recent publications emphasize text mining, model comparison, and legal data challenges. He has developed tools for national ID number validation, hate crime estimation, and parliamentary corpus construction. Notable awards include the Cramér Prize (2018), Statistician of the Year (2023), and membership in the Swedish Young Academy (2023) and ELLIS (2024). Scientific Contributions: Botten Ada Bayesian election model, 'loo' package for cross-validation Collaborative Work: AI4Research sabbatical (2024), Riksbankens jubileumsfond funding Industry Background: Statistician roles at Swedish Agency for Education, Crime Prevention, and Public Health

Jasmine Gnanaduraiمشاهده پروفایل

دانشیار

• Machine Learning
• Wireless Sensor Networks
• Cloud Computing
• +۷ مورد دیگر

Jasmine Gnanadurai serves as an Associate Professor in the Department of Electrical Engineering & Computer Science at George Fox University's College of Engineering. She teaches a range of courses including Introduction to Computer Science, Software Engineering, Servant Engineering, and Senior Design. Her office is located in Wood-Mar 222, where she holds regular office hours for student consultation. Dr. Gnanadurai's educational background includes: Ph.D. in Computer Science (2017) from Anna University, Chennai, India M.Phil (2006) from Bharathidasan University, Tiruchirappalli, India M.C.A. (2000) from Bharathidasan University, Tiruchirappalli, India B.Sc. in Computer Science (1997) from Bharathidasan University, Tiruchirappalli, India Dr. Gnanadurai's research spans multiple cutting-edge domains in computer science and engineering. Her work in wireless sensor networks has focused on optimization algorithms for zone-based networks, particularly using techniques like DBSCAN clustering and particle swarm optimization. She has made significant contributions to cloud computing architecture, especially in resource allocation and load balancing for peer-to-peer networks. Her expertise extends to machine learning applications across diverse fields including agriculture productivity, student feedback analysis, and crowd behavior recognition. Her recent publications demonstrate a strong interdisciplinary approach, bridging computer science with practical applications in healthcare, education, smart cities, and transportation. She has published extensively on deep learning techniques for EMG-based hand gesture recognition, blockchain applications for electric vehicle charging infrastructure, and immersive technologies for educational settings. These works reflect her commitment to addressing real-world challenges through technological innovation. Dr. Gnanadurai actively contributes to the engineering education mission at George Fox University through multiple channels. She teaches foundational computer science courses, advanced software engineering, and participates in the university's distinctive Servant Engineering program where students develop solutions to humanitarian needs. She also guides senior engineering students through their capstone Senior Design projects, which partner with industry sponsors to solve real-world problems. As part of the College of Engineering, Dr. Gnanadurai works within interdisciplinary teams that collaborate on projects addressing humanitarian needs through the Servant Engineering program. This program connects students with community partners to develop engineering solutions that serve vulnerable populations, reflecting the university's Christian mission of service. Her involvement in Senior Design connects students with industry partners including Xerox, Intel, Garmin, and numerous regional companies, providing students with valuable real-world experience.

Nikolaos Samarasمشاهده پروفایل

استاد

• Algorithm Analysis
• Computational Complexity
• Algorithmic Operations Research
• +۹ مورد دیگر

Nikolaos Samaras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia in Thessaloniki, Greece. He has been serving as director of the Computational Methodologies & Operations Research (CMOR) Laboratory since April 2016. His academic career includes positions as Assistant Professor (2007-2012) and Lecturer (2003-2007) at the same institution, and earlier as an adjacent Lecturer at the Technological Institute of Western Macedonia (1998-2000). Dr. Samaras earned his Diploma in Applied Informatics from the University of Macedonia in 1996 and his Ph.D. in Applied Informatics from the same university in 2001. His educational background forms the foundation for his extensive research in computational optimization and operations research. Professor Samaras's research focuses on the interface between computer science and operations research, with particular expertise in linear and nonlinear optimization, network optimization, integer optimization, and scientific computing including HPC and GPU programming. His work has resulted in the development of new algorithmic families for optimization problems, efficient GPU implementations of the revised simplex algorithm, and novel algorithms and software for operations research. His research spans theoretical algorithm development, practical implementation, and real-world applications across various engineering and scientific domains. His extensive publication record includes over 35 journal papers in prestigious venues such as Computers and Operations Research, European Journal of Operational Research, and Journal of Artificial Intelligence Research, more than 85 conference papers, and four textbooks (two in English and two in Greek). His work has been recognized through citations and the Thomson ISI/ASIS&T Citation Analysis Research Grant in 2005. ACM Senior Member (2016) Thomson ISI/ASIS&T Citation Analysis Research Grant (2005) Editorial board member of Operations Research: An International Journal Reviewer for numerous top journals including Mathematical Programming Computation and European Journal of Operational Research Professor Samaras has supervised four current Ph.D. students working on hybrid simplex algorithms, large-scale optimization using Apache Hadoop, algorithmic procedures in matrix theory, and smoothed complexity analysis. He has successfully guided five Ph.D. students to completion, including Nikolaos Ploskas who won the 2014 HELORS Doctoral Dissertation Award. Additionally, he has supervised 45 master's theses and 84 bachelor's theses. His research group has secured funding from diverse sources including the European Union, Greek Secretariat of Research and Technology, and industry partners like Veltio Greece LTD. The Computational Methodologies & Operations Research (CMOR) Laboratory, which he directs, focuses on developing and implementing optimization algorithms with applications in transportation, energy systems, and business process design. The lab has produced notable software tools including Euclides and Visual LinProg, which have educational applications in linear programming.

Peter Knightsمشاهده پروفایل

استاد

• Engineering Asset Management
• Mine Maintenance
• Systems Engineering
• +۵ مورد دیگر

Professor Peter Knights is a faculty member at the School of Mechanical and Mining Engineering , University of Queensland, where he serves as Discipline Lead for Mining. He previously held the BMA Chair in Mining Engineering (2006–2015) and worked as Assistant Professor and later Associate Professor at the Catholic University of Chile (1996–2004), where he also held the Canadian Chair in Mining. Education: BEng (Mechanical) from University of Melbourne, MEng (Systems Engineering) from RMIT, PhD in Mining Engineering from McGill University. Research Focus: Engineering asset management, mine maintenance, systems engineering for mine safety, ESG integration in mine planning, and electrification of mining haulage. He pioneered ESG frameworks and developed the ValueTree software adopted by Rio Tinto. Recent Publications: His 15 most recent articles (2023–2025) emphasize digital twins , low-emission mining systems , ESG optimization , and battery trolley electrification in journals like Mining , Energies , and Mining Technology . Industry Impact: Developed the Jack-knife methodology for downtime analysis, now used in GE Wabtec's APS software, and innovative models for ultimate pit limits in FMIPCC systems. Supervision: Currently supervises PhD students on topics like AI-driven asset management, battery trolley systems, and rock mass preconditioning. Past supervision includes work on shovel sequence optimization and critical spare parts management.