جست‌وجوی استاد و پژوهشگر

• Software Development Methodology
• Agile Software Development
• Lean Software Development
• +۷ مورد دیگر

Professor Valentino Vranić is affiliated with the Faculty of Informatics at Pan-European University , Bratislava, Slovakia. He is a leading figure in software development methodology, focusing on bridging implementation and organizational perspectives through patterns, agile, and lean approaches. Position: Professor Workplace: Institute of Applied Informatics Room: 311, Bratislava Email: valentino.vranic@paneurouni.com, val.vranic@gmail.com Research Interests : Professor Vranić specializes in: Software architecture and modeling Aspect-oriented programming (AOP) and modularization Use case-driven development Drama patterns and organizational pattern animation Peripheral perception in distributed teams Agile and lean methodologies Scientific Contributions : Coined drama patterns and peripheral perception techniques Authored textbooks "Software Modeling: Use Cases, UML and Beyond" and "Object-Oriented Programming: Objects, Java and Aspects" Established AdvanSD Research Group at Slovak University of Technology Leadership & Service : Program Co-Chair of premier PLoP Conference (2023-2024) Board member of Hillside Group Active in ADBIS Conference program committees

• Information Systems
• Service Innovation
• Digital Transformation
• +۳ مورد دیگر

Dr. Laleh Kasraian is a Senior Lecturer in Information Systems at the School of Computer Science and Informatics, De Montfort University, UK. With over 20 years of industry experience, she specializes in IS/IT Service Co-Production, Service Design Methodologies, Digital Transformation, Business Analytics, and Data Modeling. Her work bridges academic research and practical application in areas like e-Banking, Energy Management Systems, and Enterprise Resource Planning. PhD in Business Information Systems, University College Cork (2017) MSc in eCommerce & Marketing, Lulea University of Technology (2007) BSc in Computer Software Engineering, Tehran Azad University (1996) Her research focuses on Service Innovation , examining how core IS capabilities drive co-production lifecycles and digital transformation. She has contributed to QoS-aware frameworks for distributed systems and explored Lean Startup methodologies in corporate settings. Recent work emphasizes collaborative decision-making and data modeling for smarter IT strategies. Scientific awards include Fellow of the Higher Education Academy . She has published extensively on IS trends, service co-production, and technology deployment, with notable works spanning from 1995 to 2023. Her teaching spans modules like Systems Analysis & Design, Data Mining, and Big Data Business Models.

Anne Baanenمشاهده پروفایل

مدرس

• Formal Verification
• Type Theory
• Logic
• +۴ مورد دیگر

Anne Baanen is a Lecturer in the Department of Computer Science at the Faculty of Science, Vrije Universiteit Amsterdam. They recently completed their PhD in theoretical computer science under the supervision of Jasmin Blanchette and Sander Dahmen as part of the Lean Forward project. Their current teaching responsibilities include coordinating the Logic and Modelling course and supervising projects in Computer Assisted Proofs. Their educational background includes double majors in Computing Science and Mathematics for both Bachelor's and Master's degrees at Utrecht University. During their time at Utrecht, they were active in student organizations, serving as chair of the programming committee WebCie and the LGBT+ organization TrotCie, while also contributing to the student newspaper de Vakidioot. Dr. Baanen's research operates at the intersection of computing science and mathematics, spanning intuitionistic logic, type theory, formal verification, and functional programming. Their work heavily involves the Lean theorem prover, focusing on formalizing advanced mathematical concepts like algebraic number theory, Dedekind domains, and class groups. They are particularly interested in the design of morphisms and substructures in dependent type theory, as evidenced by their presentations on bundling in type theory. Analysis of their publication record shows a consistent focus on formalizing mathematical structures using the Lean theorem prover, with particular emphasis on algebraic number theory and the design of effective type class systems. Their work bridges theoretical computer science and advanced mathematics, contributing to both the formal methods community and mathematical research. Dr. Baanen is also active in sustainable ecology, LGBT+ rights advocacy, and software freedom movements. Their teaching portfolio spans from Logical Verification to Grondslagen van de Wiskunde (Foundations of Mathematics), demonstrating both breadth and depth in computer science education. They have presented at numerous international conferences including CPP, ITP, IJCAR, and ICFP, establishing themselves as an emerging researcher in formal methods. Based in Amsterdam, they maintain an active research profile while contributing to the academic community through teaching and conference organization, including co-organizing the Formalization of Cohomology Theories workshop at BIRS in Banff, Canada.

Tomáš Skřivanمشاهده پروفایل

پژوهشگر ارشد

• Physics Simulation
• Computer Graphics
• Numerical Methods
• +۳ مورد دیگر

Tomáš Skřivan serves as a Research Fellow at the Hoskinson Center for Formal Mathematics , Carnegie Mellon University. His work bridges formal mathematics with practical scientific computing through the development of the SciLean library in Lean 4, targeting enhanced reliability in machine learning and simulation software. Skřivan's research spans interdisciplinary domains with core emphases on: Physics-based simulation of fluid dynamics and wave phenomena Computer graphics algorithms for light transport and rendering Formal verification techniques applied to numerical methods Mathematical modeling of viscoelastic materials His publication trajectory since 2016 reveals evolving expertise from computational fluid dynamics (water wave simulation, viscoelastic modeling) toward formal methods in scientific computing, consistently merging theoretical rigor with practical implementation. Recent work on SciLean represents a strategic pivot toward verified software foundations. As a key contributor to the Hoskinson Center's mission, Skřivan collaborates on projects leveraging proof assistants to eliminate errors in scientific code. The center, established through Charles Hoskinson's support, pioneers mathematically guaranteed correctness in computational science through formal verification frameworks.

Craig Littlejohnمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics Management
• Industrial Engineering
• +۳ مورد دیگر

Dr. Craig Littlejohn serves as Professor of Industrial Engineering at South Carolina State University, where he has maintained continuous faculty appointment since 2009. His institutional affiliation centers within the Department of Industrial Engineering, teaching foundational courses including Industrial Statistics, Engineering Modeling and Simulation, Supply Chain Engineering Management, and Operations Research II across the engineering curriculum. His educational foundation includes: PhD in Industrial and Systems Engineering from North Carolina Agricultural and Technical State University (2009) Master of Science in Industrial and Systems Engineering from North Carolina Agricultural and Technical State University (2004) Dual Bachelor of Science degrees from North Carolina State University in Chemical Engineering and Wood and Paper Science (2001) Research activities demonstrate sustained focus on supply chain optimization and logistics management, with specialized contributions in maintenance scheduling methodologies and traceability technology implementation. His work bridges theoretical industrial engineering principles with practical applications in agricultural supply chains and food safety systems, particularly examining technology adoption challenges for small-scale farmers. Current investigations extend into bio-inspired life cycle management processes and flexible manufacturing system enhancements. Publication patterns reveal consistent engagement with industrial engineering practice communities, emphasizing real-world problem solving in maintenance operations, agricultural traceability, and supply chain resilience. Recent works increasingly integrate automated identification technologies with traditional engineering frameworks to address resource constraints in limited-scale farming operations and food safety infrastructure. Professional activities include instruction across seven core industrial engineering courses and active research output through conference proceedings and specialized engineering journals, though no formal student advisement or award recognition is documented in available materials.

Constance Richterمشاهده پروفایل

استاد

• Human-Centered Design
• User Experience (UX)
• Information Design
• +۱۲ مورد دیگر

Professor Dr. Constance Richter is a faculty member at Aalen University, affiliated with the Faculty of Optics and Mechatronics and the Human Centricity department. She serves as Vice Dean and Dean of Studies, demonstrating significant academic leadership. Her work spans teaching, research supervision, and applied projects in human-centered design and user experience. Her research interests lie at the intersection of human-computer interaction, information design, and digital transformation. She focuses on user experience in automotive interfaces, virtual reality for education, AI in technical communication, and organizational UX maturity. Her work emphasizes practical application, often in collaboration with industry leaders like Porsche, Bosch, and Mercedes-Benz. The supervised theses reflect a strong trend toward applied research in adaptive interfaces, usability, digital twins, and immersive technologies. Her publications, inferred from thesis titles and abstracts, span topics from VR learning environments to AI integration in product development, indicating a multidisciplinary and industry-relevant research profile. Scientific Awards: No awards mentioned in the provided text. She actively supervises numerous bachelor's and master's students, guiding research in UX, technical communication, and digital innovation. Her projects often involve prototyping, user testing, and real-world implementation, supported by industry partnerships. She is involved in educational innovation, including hybrid learning and virtual workspaces. She leads and contributes to initiatives in digital transformation, including the development of digital mindsets, lean UX practices, and the use of VR in academic settings. Her work extends to organizational change, as seen in projects on becoming UX-driven companies and adapting to post-pandemic work environments.

Phillip Haagمشاهده پروفایل

پژوهشگر

• Sustainable Construction
• Building Lifecycle Management
• Supply Chain Management
• +۳ مورد دیگر

Phillip Haag is a doctoral researcher at the Institute of Construction Management (IBL) at the University of Stuttgart, focusing on sustainable transformation of the construction value chain, economic quality in building processes, and supply chain logistics. His work bridges technical and business aspects of construction, emphasizing lifecycle integration and digitalization. Research interests include: Holistic Quality Models Construction Logistics Digital Technology Implementation Economic Quality Assessment Recent publications highlight his work on sustainable construction decision-making, graded concrete components, and digital barriers in construction, alongside contributions to industry policy frameworks like the BBB Memorandum. He supervises lectures on construction process management, real estate technology, and building systems engineering, while supporting thesis work on these topics.

Ufuk Cebeciمشاهده پروفایل

استاد

• Quality Management
• Manufacturing Systems Management
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Ufuk Cebeci is a faculty member at Istanbul Technical University , affiliated with the Department of Industrial Engineering . His academic career spans over three decades, with roles progressing from Lecturer (1994) to Professor (since 2020). Fields of Study: Quality Management, Manufacturing Systems Management, Artificial Intelligence Key Research Areas: Decision Support Systems, Lean Manufacturing, ERP Systems, Fuzzy Logic, Customer Relationship Management Research Trends show consistent focus on applying computational intelligence to industrial challenges, particularly through fuzzy logic and hybrid methodologies. His work addresses strategic management, process optimization, and digital transformation across sectors like textiles, construction, and banking. Awards: Most Cited Paper Award (Elsevier, 2017), Awards for Excellence (Emerald Group, 2015) Advising includes supervising 30+ theses in areas like lean manufacturing maturity analysis, ERP satisfaction studies, and AI-driven supply chain solutions. His grants involve projects on carbon footprint tracking software, production scheduling optimization, and IoT-integrated energy management systems.

Eric Vogelمشاهده پروفایل

مدرس

• Project Management
• Software Engineering
• Consumer Electronics
• +۳ مورد دیگر

Eric Vogel is a Lecturer at Oregon State University's College of Engineering, affiliated with the School of Electrical Engineering and Computer Science. He teaches in the Ecampus online-only program, focusing on bridging academic learning with industry practices. Degree: B.S. in Mechanical Engineering from Oregon State University Eric's professional expertise stems from 43 years in the tech industry, where he led the development of consumer electronics such as calculators, smartphones, notebook computers, and fingerprint scanners. His work involved managing both hardware and software projects, establishing global engineering centers, and mentoring project managers. As an instructor, he emphasizes industry norms, best practices, and real-world product development challenges. His fields of interest include project management, software engineering, and product development, particularly in the context of consumer electronics and engineering management. These align with his extensive industry experience and teaching responsibilities. Scientific Awards and Accolades: U.S. Patent 5,216,627 (Hewlett-Packard) U.S. Patent 5,175,700 (Hewlett-Packard) Lean Six Sigma Yellow Belt holder (2016–present) Project Management Professional (PMP) credential holder (2011–present) Certified ScrumMaster (CSM) (2006–present) Eric has taught courses such as CS 469 (Real-World Project Management in Computer Science), ENGR 102 (Foundations of Computer Science and Software Engineering), and CS 271 (Computer Architecture and Assembly Language), reflecting his focus on practical skills and industry applications.

• Information Systems
• Knowledge-based Systems
• Human-Computer Interaction
• +۱۰ مورد دیگر

Dr. Maryam Atoofi is a Senior Lecturer in Engineering at the Faculty of Environment and Technology, University of the West of England, affiliated with the Department of Engineering, Design and Mathematics and Department of Computer Science and Creative Technologies. Her work spans software engineering, human-computer interaction, and big data analytics. Oxford AICert. PGCHE MA Business and Management PhD Computer Application PGD Applied Social Research MSc Information Technology MBCS, FHEA, MIEEE Her expertise includes: User experience (UX) software design Brain-Controlled Robots Intelligent Artificial Retina Software Engineering Computing Project Database Design Human-Computer Interaction Lean Manufacturing

Ralf Plattfautمشاهده پروفایل

استاد

• Process Management
• Business Process Innovation
• Digital Transformation
• +۵ مورد دیگر

Ralf Plattfaut is Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023, where he leads the business process innovation and automation lab. Previously, he served as Professor for Business Informatics at South Westphalia University of Applied Sciences (2019-2023) and as Associate Partner at McKinsey & Company (2013-2019). His academic journey includes research positions at the European Research Center for Information Systems at University of Münster and visiting fellowships at Queensland University of Technology and University of Liechtenstein. His educational background includes: Master of Science in Information Systems (MScIS) from WWU Münster (2009), thesis on 'Lean Enterprise Content Management' Bachelor of Science in Information Systems (BScIS) from Hochschule Liechtenstein (2008), thesis on 'IT-Controlling - Investitionsrechnung und Simulation auf Basis des ARIS-Toolset' Studies in Information Systems at WWU Münster (2004-2009) with core subjects in Business Administration, Information Systems, and Finance PhD studies in Information Systems at University of Münster (2009-2013) Plattfaut's research focuses on business process management, digital transformation, and process automation. His work bridges academic theory with practical business applications, particularly examining how organizations implement and govern process innovations. He has made significant contributions to understanding Robotic Process Automation adoption, process mining applications, and the challenges of digital transformation in various sectors including healthcare, utilities, and public administration. His publication portfolio shows a clear trajectory from foundational work on process modeling and IT controlling through to contemporary research on AI-supported process automation and the societal implications of digital transformation. Recent work increasingly addresses the intersection of process management with emerging technologies while maintaining focus on practical implementation challenges faced by organizations. His scientific recognition includes multiple best paper nominations and awards at premier conferences including ICIS, HICSS, and BPM. Notably, he won the MINTchallenge for innovative teaching and received awards for research on public sector process management and RPA implementation challenges. As an active academic leader, Plattfaut serves on editorial boards for Information Systems and e-Business Management and Intelligent Systems in Accounting, Finance and Management journals. He has chaired tracks at major conferences including Wirtschaftsinformatik and Business Process Management conferences. His funded research projects demonstrate strong connections between academic inquiry and practical business needs, with recent grants from DFG, BMBF, and state ministries supporting research on process automation, process mining in utilities, and lightweight IT governance. Plattfaut maintains an active consulting practice supporting organizations on digital transformation journeys, particularly focusing on business process innovation. He also serves on the Advisory Board 'Digitale Region menschlich gestalten' for the Regional Development Programme 'Regionale 2025'.

Jay Kapelluschمشاهده پروفایل

استاد

• Occupational Biomechanics
• Musculoskeletal Disorders
• Industrial Engineering
• +۳ مورد دیگر

Dr. Jay Kapellusch is a Professor and Head of School in the School of Rehabilitation Sciences & Technology at the University of Wisconsin-Milwaukee (UWM) , where he also serves as Associate Dean for Academic Affairs in the College of Health Professions & Sciences . His work spans occupational therapy , biomechanics , and industrial engineering , focusing on proactive job design algorithms to prevent musculoskeletal disorders. His research bridges ergonomics with Lean Manufacturing and Six Sigma , integrating statistical quality control and methods engineering to create industry-aligned job design systems. Additionally, he develops assistive devices for older and disabled populations , aiming to enhance societal participation. With the UWM Center for Ergonomics , he collaborates on risk management software, training packages, and fee-for-service consulting for manufacturing and healthcare sectors. The 15 most recent publications highlight interdisciplinary trends in occupational biomechanics , musculoskeletal epidemiology , and machine learning applications for exposure assessment. Key subfields include carpal tunnel syndrome , low back pain , handgrip strength norms , and psychosocial risk factors , with NHANES and prospective cohort studies providing empirical grounding. His NIOSH-funded grant explored cardiovascular and metabolic risks in truck drivers , addressing career longevity and injury prevention. As mentor and leader, he extends his lab's impact through ergonomic consulting and industry partnerships , emphasizing practical solutions for workplace health and productivity.

Nejat YUMUŞAKمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۵ مورد دیگر

Prof. Nejat YUMUŞAK is a full Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has built his academic career since 1995. His progression includes roles as Research Assistant (1993-1998), Assistant Professor (1998-2004), Associate Professor (2005-2011), and Professor (2011-present). Education PhD in Electrical-Electronics Engineering, Sakarya University (1995-1998) Thesis: Analysis of Power System Circuit Elements Using Artificial Neural Networks MSc in Electrical-Electronics Engineering, Dumlupinar University (1994-1995) Thesis: Calculation and Measurement of Transformer Parameters at High Frequencies BSc in Electrical-Electronics Engineering, Istanbul Technical University (1989-1993) Research Focus Prof. YUMUŞAK's research integrates artificial intelligence with multidisciplinary applications. Primary domains include: Bioinformatics & Medical AI : Developing deep learning models for COVID-19 mutation prediction, leukemia classification via blood smear analysis, and gastrointestinal anomaly detection using endoscopic data. Signal Processing & Security : Advancing acoustic event detection for security systems and vulnerability testing through intelligent fuzzing techniques. Optimization & Industrial Applications : Creating metaheuristic algorithms (e.g., enhanced Wild Horse Optimizer) for energy efficiency and Industry 4.0 digitalization. Publication Trends His recent articles (2022-2025) demonstrate strong emphasis on transformer architectures for virology, ensemble methods for medical diagnostics, and CNN/LSTM networks for genomic and acoustic data analysis. Over 50% of recent works focus on healthcare applications, particularly cancer and pandemic-related prediction models. Contact & Recognition Contact via nyumusak@sakarya.edu.tr or phone (0264) 264 58 94. His work has received 793 citations (Web of Science) with an H-index of 14.

Thomas Beckerمشاهده پروفایل

مدرس

• Career Development
• Adult Development Psychology
• Adult Learning
• +۳ مورد دیگر

Thomas Becker serves as a Lecturer in Engineering Management within the School of Engineering at the University of St. Thomas, teaching graduate courses that bridge industry practice and academic theory. His educational background includes: MBA in Marketing, University of St. Thomas (1989) BA in Economics, University of St. Thomas (1984) BA in Business Finance, University of St. Thomas (1984) Becker's expertise centers on career development and adult learning psychology, applied through his industry experience in operations management. His professional trajectory spans financial analysis at a Minneapolis property management firm, software consulting, and significant roles at Andersen Windows where he managed customer conversion programs, sales incentives, and electronic quoting systems. Currently at 3M, he oversees customer service teams handling product testing, repair, and redistribution. He teaches ETLS 504: Excellence in Operations (covering lean manufacturing, JIT, and logistics) and ETLS 525: Engineering Economics (focusing on financial analysis for engineers), emphasizing real-world applications from his corporate career.

Gabriella Anderssonمشاهده پروفایل

استاد

• Materials Physics
• Magnetism in Thin Films
• Multilayers and Superlattices
• +۳ مورد دیگر

Professor Gabriella Andersson is a leading materials physicist at Uppsala University , serving as Professor of Materials Physics within the Department of Physics and Astronomy. She has held numerous leadership roles including Deputy Head (2015-2020), Section Dean of Physics (2020-2023), and Director of Studies for the doctoral program in physics since July 2023. Education & Qualifications: FD (PhD) in Physics Docent in Physics Excellent Teacher Award (2013) Research Focus: Professor Andersson's research centers on the magnetic properties of thin films, multilayers, and nanostructures. Her work particularly emphasizes magneto-optical domain imaging using Kerr microscopy and the fine-tuning of magnetic properties through atomic-level engineering. She investigates how combinations of elements can create tailored magnetic effects, focusing on applications in micro- and nanometer-scale materials. Research Methodology: Her experimental approach includes sample fabrication using combinatorial sputtering and characterization through X-ray diffraction, magneto-optical Kerr effect (MOKE), and neutron scattering techniques. She has developed expertise in strain engineering and interface control to manipulate magnetic anisotropy and domain structures. Key Research Themes: Magnetism in amorphous and crystalline thin films Exchange coupling in magnetic multilayers Magnetic anisotropy engineering Domain imaging and magnetization dynamics Rare-earth-lean magnetic materials All-optical switching phenomena Scientific Recognition: Excellent Teacher Award (2013) Professor of Materials Physics (2015) Coordinated VR Graduate School in Materials Science (2008-2015) Funding & Grants: Her research has been supported by prestigious organizations including the Royal Swedish Academy of Sciences, the Royal Physiographic Society of Lund, Magnus Bergvall Foundation, Göran Gustafsson Foundation, STINT, Carl Tryggers Foundation, and the Swedish Research Council (Vetenskapsrådet). Teaching & Supervision: Professor Andersson teaches undergraduate courses in mechanics, electromagnetism, and measurement technology. She has coordinated the VR graduate school in materials science and serves as director of studies for the doctoral program in physics. Her teaching philosophy emphasizes activating problem-solving exercises and has contributed to educational literature on physics education. Laboratory & Facilities: Her research is conducted at the Ångström Laboratory, one of Europe's most advanced materials research facilities, equipped with state-of-the-art deposition systems, magnetic characterization tools, and neutron/X-ray scattering capabilities.