جستجوی استاد راهنمای دانشگاهی

Hany Osman is an Associate Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, holding a PhD in Industrial Engineering from Concordia University and a Professional Engineer (PEng) license in Ontario. His academic-industrial career bridges theoretical research with practical applications across multiple sectors. Dr. Osman's research spans three interconnected domains: Machine Learning & Data Analytics : Specializing in logical analysis of data, cost-sensitive learning, and ensemble techniques for industrial applications Operations Research : Developing nature-inspired metaheuristics (cuckoo search, ant colony optimization) for NP-hard problems in manufacturing and logistics Supply Chain Management : Focusing on sustainable optimization of lot sizing, production planning, and inventory control under stochastic conditions His recent publications (2023-2024) reveal a strategic pivot toward AI-integrated manufacturing systems, notably the CAPP-GPT framework for generative AI in process planning and emission-aware lot sizing models. This work demonstrates consistent translation of theoretical advances into industrial solutions for rail, oil, and smart manufacturing sectors. Professional credentials include: IBM Mastery Certificate in Predictive Data Analytics Professional Engineer (PEng) license from Ontario Dr. Osman leverages extensive industrial experience in supply chain logistics, oil industry optimization, and education technology to inform both research and teaching. His supervision in the Master of Data Analytics program emphasizes hands-on application of machine learning to real-world operational challenges, with students contributing to publications in Manufacturing Letters and related journals. While no formal lab is specified, his research group operates at the intersection of data science and industrial engineering, maintaining strong industry partnerships that drive applied projects.

• Machine Learning
• Operations Research
• Supply Chain Management
• +۷ مورد دیگر

Prof. Dr. Marc Linzmajer serves as Professor and Chair of General Business Administration: Service Management at the University of Rostock's Faculty of Business and Economics, where he leads the Institute for Marketing & Service Research. His academic profile bridges theoretical research with practical industry applications, maintaining active collaborations with international institutions including University of St. Gallen and Babson College. Prof. Linzmajer's research focuses on evolving retail landscapes, with particular expertise in service management, consumer behavior in digital environments, and emerging technologies. His work examines how mass customization affects purchase decisions, the implementation of metaverse applications in retail, and the integration of AI in shopping experiences. Rather than treating these as isolated phenomena, his research connects technological innovations with fundamental consumer psychology principles, particularly examining how personal category-self connections influence decision-making. His publication trends reveal a strategic progression from traditional retail management concepts toward digital transformation. The 5th edition of his textbook 'Modern Retail Management' reflects this evolution, incorporating new topics like social commerce, metaverse applications, and AI in retail alongside foundational trade management principles. Recent field studies in both consumer goods and automotive sectors demonstrate his commitment to real-world validation of theoretical concepts. Prof. Linzmajer maintains strong industry connections through interviews with the Rostock Chamber of Industry and Commerce and contributions to industry publications like 'Lebensmittel-Zeitung' and 'markenartikel magazin.' His research on price perception using neuroscience approaches and social media marketing's impact on consumer inspiration shows his methodological diversity. The upcoming inaugural lecture scheduled for May 15, 2025 with Rouven Seifert indicates ongoing academic development and knowledge sharing within his field. His leadership extends beyond pure research, as evidenced by participation in university community events like the small-field football tournament at the Summer Night Sports Festival 2025, suggesting a holistic approach to academic life that values both scholarly achievement and community engagement.

• Service Management
• Retail Management
• Consumer Behavior
• +۶ مورد دیگر

Dr. Ahasan Habib serves as an Assistant Professor in the Department of Manufacturing and Mechanical Engineering Technology within RIT's College of Engineering Technology, where he leads cutting-edge research at the intersection of mechanical engineering, materials science, and computational methods. His work focuses on overcoming critical barriers in 3D bioprinting through innovative approaches to bioink formulation, process control, and hardware design. His research program centers on three synergistic pillars: Advanced Material Systems : Development of nanofiber-reinforced hybrid hydrogels (alginate-gelatin composites) with tunable rheological properties for enhanced scaffold fidelity Computational Optimization : Machine learning frameworks (Bayesian optimization, decision trees) for predicting bioink behavior and automating print parameter selection Hardware Innovation : Custom bioprinter components including nozzle systems, thermal controls, and in-house-developed smart sensors for real-time process monitoring Analysis of his 2024 publications reveals a strategic progression from fundamental material characterization to clinical applications, with recent work on finger prosthetics demonstrating translational impact. His publications in Biofabrication and Frontiers in Materials indicate growing recognition in the field, while conference presentations at ASME MSEC and IISE highlight strong industry connections. Dr. Habib's research demonstrates significant grant potential through its interdisciplinary nature and alignment with NSF's advanced manufacturing priorities and NIH's tissue engineering initiatives. The lab provides students with rare cross-training in computational modeling, material science, and mechanical design within a rapidly evolving biomedical manufacturing landscape.

• 3D Bioprinting
• Bioink Rheology
• Machine Learning in Manufacturing
• +۳ مورد دیگر

Pascal Bruniaux is a Full Professor and Research Supervisor at the École Nationale Supérieure des Arts et Industries Textiles (ENSAIT) in Roubaix, France, where he leads research in textile engineering and human-centered design. His work focuses on the intersection of textile science, digital technologies, and human anatomy, with particular emphasis on creating innovative solutions for garment design and customization. Professor Bruniaux's research spans four major themes: (1) Modeling, simulation and multi-scale perception of textile materials; (2) Modeling of the Human/Clothing/Environment interface; (3) Analysis and classification of typical and atypical human morphologies; and (4) Development of personalized co-creation processes integrating 3D virtual prototyping, human perception, and knowledge. His work bridges the gap between traditional textile manufacturing and cutting-edge digital technologies, with applications ranging from everyday apparel to specialized medical garments and protective clothing. His recent publications demonstrate a strong trend toward integrating artificial intelligence and machine learning with 3D garment design and virtual prototyping. The research spans disciplines including textile engineering, computer science, human factors engineering, and sustainable fashion, with particular emphasis on improving garment fit, comfort, and customization through digital technologies. His work addresses critical challenges in the fashion industry, including reducing waste through virtual prototyping and improving accessibility for people with atypical body morphologies. Professor Bruniaux has received significant recognition for his contributions to the field: 2016 Gratitude Diploma from Gheorghe Asachi Technical University of Iasi for supporting and promoting their interests PEDR Award for PhD students and research supervision, received annually from the French Ministry of National Education since 2021 Throughout his career, Professor Bruniaux has supervised numerous PhD students and led multiple significant research projects funded by various programs including FUI, Erasmus Mundus, and European H2020. His research has been supported by collaborations with institutions across Europe and Asia, demonstrating the international impact of his work. He has also contributed to the development of innovative teaching methods in textile and apparel design, integrating digital tools into the curriculum. As a key member of the GEMTEX laboratory at ENSAIT, Professor Bruniaux leads the Human Centered Design Group, which focuses on developing technologies that place human needs at the center of textile and apparel innovation. The group's work has applications in diverse areas including adaptive clothing for people with physical disabilities, personalized sportswear, and advanced protective garments.

• Textile Engineering
• 3D Garment Simulation
• Human Body Modeling
• +۵ مورد دیگر