جست‌وجوی استاد و پژوهشگر

Jean M. Ellefsonمشاهده پروفایل

استادیار

• Entrepreneurship
• Family Business
• System Dynamics and Systems Thinking
• +۴ مورد دیگر

Jean M. Ellefson is an Assistant Professor of Analytics at Alfred University's College of Business, accredited by AACSB. His specialties include Entrepreneurship, Family Business Management, System Dynamics, Diversity, Equity, and Inclusion, as well as Technology Eco-Systems and Native Plants. He actively engages students in consulting projects for external firms. Masters in Systems Engineering and Management (MIT) Masters in Applied Statistics (Rochester Institute of Technology) Bachelor of Chemical Engineering & Philosophy (Washington University in St. Louis) Research interests focus on bridging analytical methodologies with practical business challenges, particularly in family enterprises and sustainable technology ecosystems. His work emphasizes systems thinking to address DEI initiatives and operational efficiencies. Notable award: John and Mary Tabor Chair in Family Business and Entrepreneurship. Courses taught include Family Business Management, Innovation Management, and Analytics Capstone Projects. His research publications span document management systems, quality assurance, and call center optimization.

Sven Carsten Langeمشاهده پروفایل

استاد

• Manufacturing Processes
• Machine Tools and Production Machinery
• Automation and Assembly Technology
• +۵ مورد دیگر

Prof. Dr.-Ing. Sven Carsten Lange is a Professor at the University of Applied Sciences Emden/Leer, affiliated with the Department of Mechanical Engineering. His research focuses on advanced manufacturing processes, automation technologies, and human-machine interaction systems. Key areas include voice-controlled automation, lean production optimization, and international dual education programs. His research interests span: - Voice command integration in industrial production - Production workflow efficiency analysis - Hybrid manufacturing systems - Global dual education models for engineering - Ultra-precision machining techniques - Automation safety and human factors Recent work emphasizes voice control systems' role in future production halls, exploring: - Real-time process optimization - Human-motion efficiency improvements - Acoustic signal processing for industrial settings He has contributed to international conferences and journals, authoring over 50 publications since 2001. His work bridges academic research with industry applications, particularly in aerospace, automotive, and medical technology sectors. Professional roles include: - Co-founder of the 'Audiotechnologie für die intelligente Produktion' working group - Board member of VDI local chapters - Editorial board member for AOHER journal His research program emphasizes: - International education collaboration (China/Germany) - SME automation solutions - Cross-disciplinary production innovation

Yilmaz Uygunمشاهده پروفایل

استاد

• Logistics Engineering
• Machine Learning Applications
• Additive Manufacturing
• +۵ مورد دیگر

Prof. Dr. Dr.-Ing. Yilmaz Uygun is a Professor of Logistics Engineering, Technologies, and Processes at Constructor University Bremen, leading the MSc Programs in Supply Chain Management (SCM) and its online version (SCMonline). He holds two PhDs from the University of Duisburg-Essen and Dortmund University of Technology, specializing in logistics and production systems. His research focuses on data-driven logistics optimization, machine learning in supply chains, additive manufacturing, and wind energy systems. Education : 2013: PhD, University of Duisburg-Essen 2012: PhD, Dortmund University of Technology 2007: MEng Logistics Engineering, University of Duisburg-Essen 2006: MSc Logistics Management, University of Duisburg-Essen 2004: BA European Studies in Technology and Management, FH Südwestfalen Research Interests : Dr. Uygun's work emphasizes data-driven analysis and algorithmic optimization in logistics and supply chains, machine learning for anticipatory inventory planning , large-scale 3D printing , and system dynamics modeling . He explores interdisciplinary challenges in manufacturing ecosystems, including steel production and renewable energy systems. Awards & Grants : Fellow at Mercator Foundation (Turkey-Europe Future Forum) Lead researcher for projects such as 'HoneyComb 3D' (funded by BMWI), 'Scenario-based Sustainability Analysis for Alternative Materials' (industry-sponsored), and 'Wind-EnergieAutarke Schulen' (Metropolregion Nordwest). Professional Activities : He chairs VDI standards for lean production systems and collaborates with industry partners like the Fraunhofer Institute. His work integrates academic research with industrial applications, focusing on resilience, sustainability, and digital transformation.

Venugopal Balijepallyمشاهده پروفایل

دانشیار

• Management Information Systems
• Software Development
• IT Management
• +۴ مورد دیگر

Venugopal Balijepally is an Associate Professor of Management Information Systems (MIS) at Oakland University's School of Business Administration. He holds a PhD in Information Systems from the University of Texas at Arlington, alongside a post-graduate diploma in management (MBA) from the Management Development Institute (India), and engineering degrees from IIT Mumbai and Osmania University (India). His research focuses on software development methodologies, social capital of IT teams, knowledge management, and healthcare informatics, with notable contributions to MIS Quarterly, Journal of International Business Studies, and Journal of the AIS. He has been recognized with awards including the Oakland University Faculty Recognition Luncheon (2023) and multiple SBA Distinguished Service Awards. His teaching spans database management, systems analysis/design, and IS management. Recent research highlights include predictive models for healthcare risks during the pandemic and analysis of agile development practices. Balijepally's work bridges theoretical insights with practical applications in healthcare operations and IT strategy.

Kate Liمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Applied Data Analytics
• Health Information Technology
• +۳ مورد دیگر

Dr. Kate Li is an Associate Professor in the Department of Information System and Operations Management at Suffolk University. Her research focuses on healthcare operations management and applied data analytics, particularly examining drivers of superior healthcare outcomes through health information technology and hospital capacity management. She holds a PhD and MS from Pennsylvania State University and a BS from Peking University. Education Background: PhD, MS: Pennsylvania State University BS: Peking University Research Interests: Dr. Li specializes in healthcare analytics, predictive modeling, and operational efficiency in healthcare settings. Her work bridges empirical research methodologies (observational, experimental, and survey studies) with practical applications in hospital performance improvement and health IT adoption. She has contributed to understanding how staffing levels, electronic medical records, and value-based purchasing frameworks impact healthcare outcomes. Publications Overview: Her recent work emphasizes pandemic-related healthcare challenges, including analyses of hospital mortality rates during the second wave of the pandemic and the financial impacts of the pandemic. Earlier research includes Bayesian email campaign analysis and Chinese text mining techniques. Awards and Grants: Top 20 Most Downloaded Paper Award (Decision Sciences, 2020) ICCM Best Paper Silver Award (2020) Grants from Suffolk University and Wharton Customer Analytics Institute Teaching and Academic Contributions: Dr. Li instructs courses in operations management, predictive analytics, and healthcare analytics at both undergraduate and graduate levels. She has developed curricula integrating real-world healthcare data analysis and decision-making frameworks.

José María Conejeroمشاهده پروفایل

دانشیار

• Model Driven Software Development
• Big Data
• Machine Learning
• +۳ مورد دیگر

José María Conejero is an Associate Professor in the Department of Systems Informatics and Telematics at the University of Extremadura, Spain. He holds a PhD in Computer Science (2010) from the same institution. His research focuses on Model-Driven Software Development, Big Data, Machine Learning, Web Engineering, and Educational Technology. He has published over 50 articles in journals and conferences, and actively participates in program committees. Research interests include software modernization, reproducible data science workflows, legacy system migration (e.g., MigraSOA project), and AI applications in education. He co-founded MetrikaMedia, a university spin-off startup. Notable contributions include model-driven approaches for service-oriented architectures, aspect-oriented software metrics, and smart city applications using unmanned systems. His educational contributions involve developing recommender systems for student enrollment decisions and analyzing ChatGPT's impact on engineering education assessment methods. He has received the 'Best Paper' award at JENUI 2023. Key projects include semantic alignment of business processes with web services, aspect mining methodologies, and DSL development for smart home automation (HAAIS-DSL). He has also explored crosscutting concerns in software product lines and technical debt impact analysis.

Ayon Chakrabortyمشاهده پروفایل

دانشیار

• Lean Six Sigma
• Sustainable Supply Chain Management
• Circular Economy
• +۵ مورد دیگر

Associate Professor Ayon Chakraborty holds a position in Engineering Project Management at Federation University Australia’s Institute of Innovation, Science and Sustainability (IISS). Previously, he served as Associate Professor at Indian Institute of Management Tiruchirappalli and held a Post-Doctoral Research Fellowship at Queensland University of Technology. His expertise spans Quality Management methodologies (Lean, Six Sigma), Sustainable Supply Chains, Circular Economy practices, and Healthcare Operations. He leads international collaborations like the Erasmus+ and GCRF-funded projects on SME sustainability and wellbeing with Aston University (UK). Education: Ph.D. in Industrial & Systems Engineering (National University of Singapore, 2010); M.Eng. (Birla Institute of Technology, 2000); B.Eng. (University of Rajasthan, 1998). He coordinates Engineering Project Management programs and serves on editorial boards for journals such as International Journal of Lean Six Sigma and International Journal of Supply Chain Management . Research focuses on enhancing SME competitiveness through sustainability, circular economy adoption, and healthcare process optimization. Notable projects include cost optimization studies for Kauvery Hospital and OEM-driven sustainability frameworks for SMEs. His publications span over 30 refereed journal articles and conference papers, addressing topics like Lean in healthcare, cross-cultural service management, and Six Sigma frameworks. Teaching includes courses on Operations Management, Quality Analytics, and Circular Economy. He designs Management Development Programs for executives in Singapore, Australia, and India, emphasizing practical implementation of quality tools and sustainable practices. Current research priorities include advancing MSME sustainability through circular economy principles and technology adoption in healthcare operations. He actively seeks collaborators for projects on SMEs’ social wellbeing and OEM roles in sustainable manufacturing.

• Production Systems Optimization
• Flow Simulation and Optimization
• Energy-Efficient Optimization
• +۳ مورد دیگر

MEKHALEF BENHAFSSA Abdelkader is a Researcher-Lecturer at the Ecole d’Ingénieurs CESI, specializing in the Engineering and Numerical Tools research team. His work focuses on Production Systems Optimization, Multi-Agent Systems, and Energy-Efficient solutions within Industry 5.0 frameworks. He holds a PhD in Electrical Engineering (2017) and a Master's in Electrical Engineering (2013). Research activities include the DYNALOG project (2025-2027), exploring dynamic mission planning for robotic logistics systems. He has supervised multiple theses, including Kader Sanogo’s 2024 defense on robot scheduling in Industry 5.0 contexts. His teaching spans Design of Experiments, Python, and Automation across undergraduate and engineering cycles. Key research themes involve integrating human factors into robotic systems, optimizing production workflows through simulation, and advancing electrostatic separation technologies for waste management. His recent work emphasizes multi-agent systems for collision avoidance and scheduling in manufacturing environments. Professional contributions include over 23 peer-reviewed articles and conference proceedings, focusing on topics ranging from autonomous vehicle coordination to triboelectrostatic material separation.

• Music Technology
• Music Therapy
• Assistive Technology
• +۳ مورد دیگر

Rebecca Colclasure is a PhD Researcher at Anglia Ruskin University (ARU), affiliated with the Cambridge Institute for Music Therapy Research within the Faculty of Arts, Humanities, Education and Social Sciences. Her work focuses on adaptive music technology for disabled musicians and rehabilitation applications, particularly involving eyegaze systems and user experience design. She has over 25 years of experience in music education, accessible technology, and music production. Education: PhD in Music Therapy Research (submitted), ARU MA Music Education, University College London (UCL) PGCE Secondary Education, Middlesex University Associated Professional in Neurological Music Therapy, NMT Academy Research Interests: Rebecca specializes in co-design methodologies with disabled communities, particularly stroke survivors, to adapt mainstream technologies like rhythm games (e.g., DDR) for upper limb rehabilitation. Her work bridges music production, assistive technology, and inclusive education, emphasizing participatory design principles. Key Contributions: Developed eyegaze-based music production tools for users with severe mobility impairments Co-created the Fused Music project promoting disability-inclusive music innovation Presented at international conferences including UK Stroke Forum (2022), Music Tech Fest Berlin (2017), and European Research and Innovation Conference (2018) Labs/Teams: Central to the Fused Music initiative, which explores cutting-edge assistive music technologies through collaboration with artists, engineers, and healthcare professionals.

Mehmet Ozdemirمشاهده پروفایل

مدرس

• Digital Fabrication
• Computational Design
• Mass Personalization
• +۳ مورد دیگر

Mehmet Ozdemir is a Lecturer and researcher at the Faculty of Industrial Design Engineering at Delft University of Technology. His work focuses on digital fabrication, computational design, and sustainable design engineering. He holds dual PhDs in Mechanical Engineering (Politecnico di Milano) and Product Development (University of Antwerp), focusing on mass personalization methodologies in digital manufacturing. Expertise: Multi-material 3D printing, computational design tools (e.g., Grasshopper), and design for additive manufacturing Research: Explores novel structures/materials for FDM 3D printing, programmable foaming (4D printing), and texture/gradient control in printing His research emphasizes transforming manufacturing processes into design tools, pushing boundaries in multi-material printing applications. Ozdemir has been recognized with a Best Demo Honorable Mention (ACM UIST 2024) for his work on augmented reality component selection tools.

Christopher Deweyمشاهده پروفایل

مدرس ارشد

• Music Technology
• User Interface Design
• Audio Engineering
• +۳ مورد دیگر

Christopher Dewey is a Senior Lecturer in the Department of Computer Science at the University of Huddersfield, part of the School of Computing and Engineering. He is also a member of the Centre for Audio and Psychoacoustic Engineering. His research focuses on user interface design for music production and creative technologies, particularly interfaces for audio mixing and music performance. Dewey holds an MSc by Research (2014) and a PhD (2023) from the University of Huddersfield, with his doctoral work investigating audio mixing interfaces for popular music production. Beyond academia, he has significant industry experience as a live sound engineer, DJ, and producer in the British dub reggae scene. His expertise spans audio engineering, human-computer interaction, and creative technology. Key research areas include user-centered design of audio tools, spatial audio, and the application of data visualization principles to music production interfaces. Dewey actively collaborates with industry professionals and has presented at international conferences such as the AES Convention. His work aligns with UN Sustainable Development Goals, particularly in fostering cultural innovation and technological advancement. Recent publications (2024-2025) explore topics like immersive audio production for rap music, distortion in drum and bass, and user-centered analyses of mixing interfaces. He has supervised two academic works and maintains an h-index of 34 with over 4,000 citations. His community engagement includes promoting dub reggae culture through event organization, bridging academic and practical aspects of music technology.

Dingchang Zhengمشاهده پروفایل

استاد

• Healthcare Device Innovation
• Wearable Sensors
• Bio-signal Processing
• +۴ مورد دیگر

Dingchang Zheng is a Professor and Director of the Research Centre for Intelligent Healthcare. He specializes in medical device development, particularly in physiological measurements and bio-signal processing, with a focus on cardiovascular technologies, wearable devices, and IoT monitoring systems. His work addresses unmet clinical needs such as novel blood pressure measurement techniques and pre-term labor prediction. Education: PhD in Medical Physics from Newcastle University, UK. Research Interests: Healthcare device innovation, wearable sensors, bio-signal processing, computer modeling, and multidisciplinary collaboration across engineering, medicine, and industry. His work contributes to UN Sustainable Development Goals related to health and well-being. Awards: IPEM Martin Black Prize (2012) IET JA Lodge Award (2009) Grants & Projects: Principal Investigator on projects including: Development of a hearing aid IoT platform (2018–2020) Wearable respiratory rate device for infants (2018–2021) Uterine electrohysterogram system for preterm labor prediction (2016–2021) funded by the Bill & Melinda Gates Foundation Labs/Teams: Leads the Research Centre for Intelligent Healthcare, fostering international collaborations in China, Jordan, and Nigeria to advance healthcare technology adoption.

• Computer Graphics
• Computer Vision
• Virtual Reality
• +۴ مورد دیگر

Prof. Dr. Fabian DI FIORE is a Lecturer and Research Coordinator at the Department of Computer Science, Faculty of Sciences, Hasselt University. He is affiliated with the Expertise Center for Digital Media (EDM) and leads research in Computer Graphics, Virtual Reality, and Extended Reality (XR). His roles include coordinating research projects and teaching courses such as Operating Systems, Computer Animation & Simulation, and Computer Graphics & Visual Computing. His research focuses on modeling and simulation, computer vision, and digital media applications. Notable projects include XR innovations for manufacturing, digital support for industrial processes, and collaborative virtual environments for education. He coordinates 16 active research projects, emphasizing XR infrastructure and applied technologies in industry and healthcare. Prof. DI FIORE supervises PhD candidates in Extended Reality applications, such as Psychomotor Task Assistance and Training using XR. He is involved in education initiatives like the International interdisciplinary project and the International School program. His work bridges academic research and practical applications, with a focus on innovation in digital media and educational technology. His teaching responsibilities include coordinating courses on operating systems, computer animation, and project management. He is a co-owner of key training components such as Computer Architecture and International interdisciplinary projects, reflecting his dual role in education and research leadership.

• Human-Technology Interaction
• Industrial Automation
• Industrial Ergonomics
• +۴ مورد دیگر

Dr Iveta Eimontaite is a Lecturer in Human Factors and Cognitive Psychology at Cranfield University , affiliated with the Centre for Robotics and Assembly. Her work focuses on behavioral and cognitive aspects of Human-Technology Interaction (HTI), particularly in industrial contexts involving collaborative robots, exoskeletons, and augmented reality systems. Education: MSc in Cognitive Neuroscience (University of York, UK), PhD in Cognitive Psychology (Hull University, UK) Prior Positions: Research roles at Bristol Robotics Laboratory and Sheffield Robotics Her research explores psychological safety factors, operator acceptance of robotics, and emotion-driven decision-making in manufacturing environments. She employs mixed methods including physiological measures and behavioral experiments. Recent publications address Human-Robot Collaboration (2024), Industry 5.0 co-creation (2024), and AI-based positioning systems (2024), alongside earlier work on augmented reality interfaces (2022) and emotion effects in risk perception (2017). Current involvement in the H2020 SHERLOCK project emphasizes safe human-robot integration in manufacturing.

Marko Đapanمشاهده پروفایل

دانشیار

• Industrial Engineering
• Manufacturing Systems
• Occupational Safety
• +۷ مورد دیگر

Dr. Marko Đapan is an Associate Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His work focuses on advancing manufacturing systems through Industry 4.0/5.0 integration, occupational safety, and human-robot collaboration. He leads research in neuroergonomics, lean manufacturing, and risk assessment, emphasizing practical applications in SMEs and automotive industries. Key research interests include optimizing assembly line performance, mental workload assessment via EEG, and resilient supply chain design. His projects frequently address challenges in workplace safety compliance, process improvement through robotics, and mitigating human factors risks. Notable contributions include frameworks for neuroergonomic evaluations, risk assessment tools for SMEs, and studies on Industry 4.0 adoption. His work bridges technological innovation with human-centric design principles, particularly in high-risk industrial environments. Publications highlight interdisciplinary approaches combining machine learning with engineering practices, such as deep learning for waste sorting and IoT integration for ergonomic safety monitoring. Current trends in his work emphasize sustainable manufacturing practices aligned with occupational health goals. No scientific awards are listed. His advising and grant activities are not detailed in available texts, though his extensive publication record suggests active research collaboration. He is affiliated with the Faculty of Engineering's laboratories focused on neuroergonomics and human-robot interaction experiments.