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نمایش ۱۶-۳۰ از ۱۵۵ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Eleonora Bilottaمشاهده پروفایل

استاد

University of CalabriaItaly

Eleonora Bilotta is a Full Professor of General Psychology at the Department of Physics, University of Calabria, Italy. She is the coordinator of the Ph.D. Course in Psychology of Programming and Artificial Intelligence and vice-coordinator of the Ph.D. Course in Science, Engineering of Environment, Construction, and Energy. Her research spans interdisciplinary fields such as cognitive psychology, educational technologies, artificial life, and mathematical modeling of behavior. Prof. Bilotta has over 150 publications and has contributed to journals like Complexity and International Journal of Bifurcation and Chaos . She led initiatives like the COMSON project (EU-funded) for e-learning platforms and directed the Evolutionary Systems Group (ESG). She also organized conferences such as the International Conference on Simulation of Adaptive Behavior and the Workshop on Artificial Life. Her work bridges science and art, leveraging chaos theory for creative design and educational tools. She collaborates globally, including with institutions like Bergische Universität Wuppertal and Chapman University. Her labs focus on cognitive science, modeling, and simulation, emphasizing innovation in education and technology.

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Andrew Longstaffمشاهده پروفایل

استاد

University of HuddersfieldUnited Kingdom

Andrew Longstaff is a Professor of Machine Tool Metrology at the University of Huddersfield, affiliated with the Department of Engineering and School of Computing and Engineering. He serves as Research Director at the Centre for Precision Technologies and is an Associate Member of the Behavioural Research Centre. His research focuses on improving machine tool performance through advanced metrology, thermal error modeling, sensor technology, and precision manufacturing processes. He holds a PhD from the University of Huddersfield and has led multiple high-value European and UK research projects, including Innovate UK initiatives and Knowledge Transfer Partnerships. Longstaff’s expertise includes machine tool calibration, vibration analysis, and the application of artificial intelligence for data processing in manufacturing. He is deeply involved in industry collaboration, working with machine tool manufacturers and end-users to address technical challenges. His work aligns with UN Sustainable Development Goals related to industrial innovation and infrastructure (SDG 9). He is a Fellow of the Higher Education Academy and a member of professional bodies such as the IET and CMI. His recent research trends emphasize thermal error compensation, ultrasonic core temperature measurement, and advanced sensor integration. Over 124 publications highlight contributions to precision engineering, with a focus on metrology, manufacturing systems, and sensor development. Awards include the EPSRC High Value Manufacturing Catapult Fellowship (2014). He supervises PhD students and teaches the MSc in Engineering Control Systems and Instrumentation, embedding his research into education.

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David Grimshawمشاهده پروفایل

مدرس ارشد

Manchester Metropolitan UniversityUnited Kingdom

David Grimshaw is a Senior Lecturer and Deputy Head at the School of Art and Design , Manchester Metropolitan University. He graduated from BA(Hons) 3-dimensional Design in 1989 and returned to teach in 1997 after a successful freelance design consultancy career. He has held roles including Subject Lead for MA/MSc Product Design and International Lead for Design, where he developed global academic partnerships for collaborative projects. Education : BA(Hons) 3-dimensional Design, Manchester School of Art (1989) David's research explores the relationship between digital design and manufacturing and the materials and processes of craft making . His work investigates how digital tools can preserve material expression and sustainability, with a focus on integrating contemporary craft approaches into digital production. He has presented internationally at conferences like the Canadian Craft Biennial and International Association of Societies of Design Research. His recent publications and exhibitions, including Crafting the Digital (2018) and Object Lessons (2017), highlight trends in materiality preservation and digital-craft integration . He also led a DTI-funded Knowledge Transfer Partnership with Halo Furnishings to implement design management structures and contemporary furniture ranges. David serves as an external examiner and academic validator for institutions such as University of Northampton and NAFA Singapore. He is a member of the Design Research Hub at Manchester Metropolitan University, contributing to educational handling collections like Why do objects look the way they do? (2011) for Manchester Art Gallery.

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Mohammed Shafaeمشاهده پروفایل

استادیار

University of ArizonaUnited States

Mohammed Shafae is an Assistant Professor in the Department of Systems and Industrial Engineering at the University of Arizona, where he has been serving since 2018. He is also a member of the Graduate Faculty, contributing to advanced research and mentorship in engineering disciplines. Education: PhD in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Production Engineering, Alexandria University, Alexandria, Egypt BS in Production Engineering, Alexandria University, Alexandria, Egypt His research centers on cyber-physical systems security , smart manufacturing systems , and data-driven quality control , with a strong emphasis on leveraging manufacturing data for process monitoring, modeling, and securing machining and additive manufacturing systems. His work integrates statistical process monitoring, machine learning, and advanced metrology to enhance manufacturing resilience and efficiency. His recent publications (2022–2025) reflect a clear trend toward securing Industry 4.0 systems, with a focus on digital twin security, attack detection in machining, and anomaly detection in additive manufacturing using photodiode and thermal data. He also explores futuristic applications such as in-situ lunar manufacturing using regolith-based materials. Scientific Awards: First Place in the ASCEND Propel Pitch Competition (AIAA, Fall 2020) Virginia Tech Teaching Excellence Award (Spring 2017) Harold Schneikert Graduate Fellowship (Spring 2016) David H. Burrows Graduate Fellowship (Fall 2015) Best Track Paper Award (IEOM 2012) Prize for Excellence in Senior Design Project (Cairo, 2009) Dr. Shafae actively mentors graduate students, co-authoring numerous publications with advisees in areas such as cybersecurity, additive manufacturing, and process monitoring. While specific grant details are not listed, his research is clearly funded through competitive fellowships and likely external grants given the volume and quality of his outputs. He has no listed labs or teams in the provided text, but his collaborative work suggests active participation in research groups focused on smart manufacturing and cybersecurity.

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Nevzat Bircan Bugdayciمشاهده پروفایل

استادیار

Michigan State UniversityUnited States

Nevzat Bircan Bugdayci is an Assistant Professor of Mechanical Engineering at Michigan State University (MSU), appointed since Spring 2024. Previously, he was a Postdoctoral Research Associate at the University of Michigan's Smart and Sustainable Automation Lab (2023). He holds a Ph.D. in Mechanical Engineering from ETH Zurich (2022), an M.Sc. from Koç University (2013), and a B.Sc. from METU (2011). His research focuses on physics-based and data-driven approaches in advanced manufacturing, including additive manufacturing optimization (e.g., LPBF), milling process stability, and in-situ process monitoring using machine tool signals. Education: Ph.D., Mechanical Engineering, ETH Zurich, Switzerland (2022) M.Sc., Mechanical Engineering, Koç University, Turkey (2013) B.Sc., Mechanical Engineering, METU, Turkey (2011) Research Interests: Physics-based optimization of laser scan strategies in additive manufacturing Data-driven stability predictions in milling Non-invasive process monitoring using controller signals Residual stress reduction in LPBF processes Adaptive manufacturing systems for material inhomogeneity Teaching: Instructor: ME 391 Mechanical Engineering Analysis at MSU (Spring/Fall 2024) Prior Teaching Assistant roles at ETH Zurich and Koç University Labs/Teams: Former member of the Smart and Sustainable Automation Lab at the University of Michigan. Collaborates with industry on LPBF and machining process innovations. Future Work: Expanding SmartScan to industrial-scale additive manufacturing applications and developing real-time adaptive milling systems for heterogeneous materials.

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Hassan Shirvaniمشاهده پروفایل

استاد

Anglia Ruskin UniversityUnited Kingdom

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

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Tiffany Calvertمشاهده پروفایل

دانشیار

Washington University in St. LouisUnited States

Tiffany Calvert is an Associate Professor and Chair of the MFA in Visual Art program at Washington University in St. Louis’s Sam Fox School of Design & Visual Arts. Her work merges traditional painting techniques like fresco and oil with digital technologies such as AI-driven image generation (StyleGAN) and 3D modeling. She explores themes of algorithmic aesthetics, historical art recontextualization, and the intersection of art and capitalism. Education: MFA in Visual Art, Mason Gross School of the Arts, Rutgers University (2005) BA in Studio Art, Oberlin College (1998) Research Interests: Calvert investigates how artificial intelligence and data manipulation reshape painting’s legacy. Her Machine Vision series employs machine learning trained on historical still lifes, creating hybrid works that critique economic speculation (e.g., tulip mania) and digital reproduction’s impact on artistic value. Her practice bridges gendered art histories and contested boundaries between human and algorithmic creativity. Awards & Grants: Great Meadows Foundation Professional Development Grant (2024) University of Louisville Inaugural Creative Works Award (2023) Pollock-Krasner Foundation Grant (2010) Geraldine R. Dodge Fellowship (2010) Advising & Labs: As MFA Director, she oversees WashU’s graduate visual art program. Her studio practice incorporates advanced digital fabrication tools and interdisciplinary collaborations. Upcoming projects include a 2024 solo exhibition at KMAC Museum exploring AI-driven “adversarial nature” themes. Exhibition Highlights: Recent shows include Living Arrangements (Kathryn Markel Fine Arts, 2023) and Adversarial Nature (Tinney Contemporary, 2023). Her work has been featured in Hyperallergic, Evergreen Review, and Majuscule magazine.

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Matthew Ballouمشاهده پروفایل

استاد آموزشی

University of Missouri , ColumbiaUnited States

Matthew Ballou is a Full Teaching Professor of Painting and Drawing in the School of Visual Studies at the University of Missouri, where he has taught since 2007 and was promoted to his current rank in 2019. His academic home resides within the university's visual arts ecosystem, focusing on foundational studio practices and contemporary art theory. Ballou's research explores Eastern and Western Mandala forms, investigations into artists like Miyoko Ito and Richard Diebenkorn, and the intersection of natively digital art practices with physical materials. His scholarly work extends to developing pedagogical applications of technology in art education and utilizing CNC routers and laser engravers in artistic creation. His artistic output includes the WHENEVERwhen series, The Impossible Interior paintings addressing the 2015 Kunduz hospital bombing, and collaborative projects with artists Joel T. Dugan and Geo K. Weissler. His writing career spans over twenty years with notable publications including a cover feature on Odd Nerdrum in Image Journal , a profile on Joey Borovicka in The New Territory , a Diebenkorn retrospective review for neotericART , and recent contributions to Oxford University Press's Grove Art. He has curated exhibitions across multiple states and maintains active artistic collaborations. Outstanding Graduate Faculty Award from University of Missouri Graduate Student Association (2012) William T. Kemper Fellowship for Teaching Excellence Nominee (2019, 2020) Ballou's educational background includes a BFA from the School of the Art Institute of Chicago (2001) and an MFA from Indiana University (2005). His artistic practice integrates traditional painting and drawing with digital fabrication techniques, while his teaching philosophy emphasizes attention, presence, and engagement with artistic lineages. Recent projects include memorial works for Eric Sweet and documentation of cosmic events like Comet Tsuchinshan–ATLAS, reflecting his ongoing exploration of temporality and perspective.

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Dele Owodunniمشاهده پروفایل

مدرس ارشد

University of ChesterUnited Kingdom

Dr. Dele Owodunni is a Senior Lecturer in Mechanical Engineering and Programme Leader of the MSc Mechanical Engineering at the University of Chester. He specializes in Design and Manufacturing, focusing on socially-responsible computerization of engineering processes based on law-like principles. His research includes developing taxonomies for design shapes and advancing sustainable manufacturing practices. Dr. Owodunni has secured over £100,000 in UK funding for research and enterprise activities. His work emphasizes improving design for manufacturing (DFM) in aerospace contexts, defect data management, and energy efficiency in machining. He has supervised PhD students and contributed to collaborative knowledge-sharing frameworks in manufacturing. His research interests span feature recognition in CAD/CAM, process optimization, and sustainability. Notable contributions include frameworks for micro-blogging in knowledge sharing and energy-efficient machining strategies. He actively engages in enterprise activities and has over 15 years of experience in UK academia and industry.

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Sena Chaeمشاهده پروفایل

استادیار

University of IowaUnited States

Dr. Sena Chae is an Assistant Professor in the College of Nursing at the University of Iowa. She holds a PhD in Nursing from the University of Iowa, an MS in Health Informatics from the same university, an MSN from Yonsei University (South Korea), and a BSN from CHA University (South Korea). Her research focuses on nursing informatics, data-driven solutions for symptom prediction, standardized nursing terminology (NIC/NOC), and symptom science. She has developed algorithms to extract symptom data from clinical notes and explores relationships between chronic conditions and symptoms in acute leukemia patients. Dr. Chae’s work emphasizes leveraging health informatics for risk prediction in home healthcare, including models for hospitalization and emergency department visits. Her research integrates machine learning, natural language processing, and clinical decision support systems to improve patient outcomes. Notable projects include clustering cancer patients by symptom trajectories and validating nursing outcome classifications for cardiac disease. Education: PhD in Nursing, University of Iowa MS in Health Informatics, University of Iowa MSN in Nursing Education & Administration, Yonsei University BSN, CHA University Her articles highlight trends in predictive analytics for home healthcare risks, natural language processing of clinical notes, and symptom trajectory modeling. She has contributed to improving the readability of mHealth apps for heart failure patients and explored concordance between POLST documentation and care practices. Labs/Teams: Collaborates with the Center for Nursing Classification and Clinical Effectiveness (CNC) and the Iowa Center for Advancing Multimorbidity Science (CAMS). Grants & Future Work: Focuses on innovativeness in healthcare progress through academia-practice collaboration, fairness in AI models, and symptom science in oncology and chronic disease management.

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Amos Ngمشاهده پروفایل

استاد

University of SkövdeSweden

Amos H.C. Ng is a Professor of Automation Engineering at the School of Engineering Science, University West (Högskolan i Skövde). His academic qualifications include BEng, MPhil, and PhD degrees, complemented by professional certifications such as Chartered Engineer (UK) and membership in the Institution of Engineering and Technology (UK). His research focuses on production simulation, multi-objective optimization, simulation-based innovization, and digital human modeling, with applications in manufacturing systems, Industry 4.0, and smart manufacturing. Ng has contributed to over 150 publications since 2000, spanning topics like decision support systems, maintenance optimization, and reconfigurable manufacturing. His work integrates simulation, data mining, and evolutionary algorithms to address challenges in production systems, including bottleneck analysis, energy efficiency, and human-robot collaboration. Notable projects include developing the Mimer knowledge discovery tool and frameworks for digital twin applications in production lines. His research emphasizes practical industry applications, collaborating with organizations to improve production processes through advanced methods like trend mining and cloud-based optimization. Ng also serves as a course coordinator and contributes to educational initiatives in automation engineering.

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Hossein Ramezaniمشاهده پروفایل

دانشیار

University of Southern DenmarkDenmark

Hossein Ramezani is an Associate Professor at SDU Mechatronics, University of Southern Denmark. His research focuses on control systems, refrigeration technologies, wind power security, and energy efficiency, with applications in industrial and marine systems. Current affiliations: Institute of Mechanical and Electrical Engineering, SDU Mechatronics Academic rank: Associate Professor His recent work includes: Anti-windup control algorithms for constrained systems Cybersecurity in wind power generation Optimization of CO2 refrigeration systems with ice storage Roll stabilization using canting keels Research trends emphasize: Integration of reinforcement learning in secure control Energy efficiency improvements in commercial refrigeration Resilient control strategies under cyber threats Marine actuator design for stability Scientific awards: Recipient of 'Teacher of the Year' award (2019) Teaching and supervision activities include: Co-supervision of PhD projects like DREAMS (2024-2027) Development of control systems for CNC machines and marine stabilization

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David J. Willisمشاهده پروفایل

دانشیار

University of Massachusetts LowellUnited States

David J. Willis is an Associate Professor in the Department of Mechanical and Industrial Engineering at the Francis College of Engineering, University of Massachusetts Lowell. His research spans computational and experimental aerodynamics, renewable energy systems, and engineering education innovation. Education: Ph.D. in Aeronautics and Astronautics, Massachusetts Institute of Technology (2006) S.M. in Aeronautics and Astronautics, Massachusetts Institute of Technology (2003) B.Eng. in Aerospace, Carleton University (2000) Research Focus: Dr. Willis develops advanced computational models for aerodynamic phenomena including biologically-inspired flight and wind energy systems. His experimental work investigates fluid-structure interactions and material properties for aerospace applications. In engineering education, he creates hands-on learning frameworks to enhance STEM pedagogy and manufacturing instruction. Publication Trends: Recent work (2023-2024) focuses on experimental characterization of parachute materials and aeroacoustic structural monitoring. Earlier publications established computational methods for unsteady flows, flapping flight energetics, and educational technology. His work consistently bridges theoretical modeling with experimental validation across aerospace and renewable energy domains. Sponsored Research: ENG-ED 4.0: Educating Next-Gen Engineers (Davis Educational Foundation) Collaborative Research: Leading Edge Vortex Evolution (NSF) UML-WIND 2016 Collegiate Wind Competition (NREL) Wind Energy Research Workshop (NSF) Hands-on MADE 4 ME (NSF)

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Jiří Kosinkaمشاهده پروفایل

دانشیار

University of GroningenNetherlands

Jiří Kosinka is an Associate Professor (Tenure Track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Scientific Visualization and Computer Graphics research group. His roles include coordinating and lecturing in Computer Graphics and Advanced Computer Graphics courses, as well as serving as an editor for journals like Computer-Aided Design and Graphical Models . Academic Position: Associate Professor, Tenure Track Affiliations: Bernoulli Institute, Faculty of Science and Engineering Research Group: Scientific Visualization and Computer Graphics Education PhD in Mathematics (2006), Charles University, Prague MSc in Mathematics (2002), Charles University, Prague Research Interests Kosinka's work focuses on geometric modeling, computer graphics, and image processing. He develops algorithms for subdivision surfaces, numerical quadrature, and fluid simulation, with applications in surgical planning and medical visualization. His research bridges theoretical contributions with practical implementations in CAD systems and real-time rendering. Conference Contributions Co-organizer of DGMM 2025 (Discrete Geometry and Mathematical Morphology) in Groningen Program Chair for AniNex 2022/2023 (Next Generation Computer Animation) IPC member for SGP, SPM, Pacific Graphics, and other key conferences Editorial Roles He serves on the editorial boards of Computer-Aided Design and Graphical Models , and has guest-edited special issues in Computer Aided Geometric Design . Labs & Teams He leads the Scientific Visualization and Computer Graphics group, collaborating on projects like BoneStory (3D surgical planning) and fluid dynamics simulations. His lab focuses on advancing geometric algorithms and their real-world applications.

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Nebojsa Stankovicمشاهده پروفایل

استادیار

University of KragujevacSerbia

Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.

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