جستجوی استاد راهنمای دانشگاهی

• Cancer Genomics
• Liquid Biopsies
• Machine Learning in Oncology
• +۷ مورد دیگر

Ash A. Alizadeh is the Moghadam Family Professor of Medicine, Oncology, and Hematology (by courtesy) at Stanford University, where he serves as leader of the Cancer Genomics Program at Stanford Cancer Institute. He holds multiple academic appointments including Professor in Medicine - Oncology, and membership in Bio-X, the Institute for Stem Cell Biology and Regenerative Medicine, and the Maternal & Child Health Research Institute (MCHRI). Dr. Alizadeh received his BS in Biochemistry from UCLA (1994), MD from Stanford Medical School, and PhD in Biophysics from Stanford. He completed additional training at the National Cancer Institute (NCI), the National Institutes of Health (NIH), and the Howard Hughes Medical Institute (HHMI). His primary research focuses on developing and applying genome technologies and computing (machine learning & data science) to problems in human disease, with special emphasis on cancer detection, classification, monitoring, and tumor immunology. His laboratory pioneers noninvasive cancer genomic techniques including CAPP-Seq, PhasED-Seq, and EPIC-Seq for "liquid biopsies" that analyze circulating nucleic acids for early cancer detection and monitoring therapeutic response. Using machine learning approaches, his group studies how cellular compositional variation impacts cancer behavior and therapeutic response, including anti-tumor immunity. His work spans molecular, cellular, organism and population levels of tumor behavior analysis. Dr. Alizadeh has received numerous prestigious awards including the Scholar Award from the American Society of Hematology (ASH), the Leukemia & Lymphoma Society (LLS), the V-Foundation, as well as awards from the American Red Cross, Damon Runyon Cancer Research Foundation, and Doris Duke Charitable Research Foundation. He is an elected member of the American Society for Clinical Investigation (ASCI) and serves on the Scientific Advisory Board of the Lymphoma Research Foundation (LRF). As an educator and mentor, Dr. Alizadeh advises numerous doctoral students, postdoctoral fellows, and medical scholars. He teaches in the Department of Medicine and Immunology and serves on various admissions panels at Stanford. His laboratory, the Alizadeh Lab, is a hub for interdisciplinary cancer genomics research that combines computational biology, molecular genetics, and clinical oncology to develop novel cancer diagnostics and therapeutics.

Stephen D. Hartمشاهده پروفایل

استاد

• clinical-forensic psychology
• violence risk assessment
• psychopathic personality disorder
• +۵ مورد دیگر

Stephen D. Hart is a Full Professor in the Department of Psychology at Simon Fraser University, with expertise in clinical-forensic psychology. His work focuses on assessment in criminal and civil settings, particularly violence risk and psychopathic personality disorder. He has also served as a Visiting Professor at the University of Bergen since 2000 and provides violence risk assessment and management services through Protect International Risk and Safety Services. Dr. Hart completed his education at the University of British Columbia, obtaining a BA in 1984, MA in 1987, and PhD in 1993. He began teaching at Simon Fraser University in 1990 and was appointed a regular faculty member in 1994. His primary research interest is clinical-forensic assessment, with specific focus on violence risk (including intimate partner violence, sexual violence, stalking, workplace violence, and terrorism) and psychopathic personality disorder. He co-developed the Structured Professional Judgment (SPJ) approach to violence risk assessment and has co-authored numerous SPJ violence risk assessment guides including HCR-20, RSVP, SVR-20, SARA, B-SAFER, SAM, PATRIARCH, MLG, and EARLI. He also developed the Comprehensive Assessment of Psychopathic Personality (CAPP) concept map with colleagues at Glasgow Caledonian University and the University of Liverpool. His publication record shows consistent output with significant contributions to understanding violence risk assessment across cultures and settings, as evidenced by his work on cases like Ewert v. Canada. His recent publications focus on economic analysis of crime costs associated with psychopathic personality disorder, stalking recidivism, and online stalking behaviors. Distinguished Contributions Award, American Academy of Forensic Psychology (2019) Distinguished Achievement Award, Association of Threat Assessment Professionals (2009) Career Achievement Award, Section on Clinical Emergencies and Crises (Section VII) of the Society of Clinical Psychology (2003) Jerome Fisher Memorial Lecture Award (2001) Saleem Shah Award for Early Career Research Excellence (1995) Dr. Hart has supervised numerous graduate and undergraduate students at Simon Fraser University and other institutions, and has acted as external examiner for graduate students worldwide. His research has received substantial funding, enabling the development and validation of multiple assessment instruments that have become standards in forensic practice. He has also served as Editor of the Journal of Threat Assessment and Management, further demonstrating his leadership in the field. Dr. Hart leads or significantly contributes to research teams focused on violence risk assessment and psychopathy assessment, collaborating with international colleagues across multiple disciplines including psychology, psychiatry, criminology, and law. His work bridges academic research and practical application in forensic settings globally.

Justin Pichéمشاهده پروفایل

استاد

• Criminology
• Penal Abolition
• Carceral Geography
• +۲ مورد دیگر

Justin Piché, PhD is Full Professor in the Department of Criminology at the University of Ottawa and Director of the Carceral Geography (Col)laboratory. His research examines the material and symbolic dimensions of criminalization and punishment, focusing on carceral infrastructure, resistance to penality, and justice alternatives. Affiliations : Co-editor, Journal of Prisoners on Prisons (University of Ottawa Press) Founding member, Criminalization and Punishment Education Project (CPEP) Board member, Érudit Criminologie Member, Coalition Against the Proposed Prison (CAPP) Prison Pandemic Partnership (2020-2023) Grants : SSHRC Partnership Development Grant 890-2024-0011 (Disaster Prisons Partnership) SSHRC Insight Grant 435-2022-0585 (Locating Penitentiaries in Canada) SSHRC Insight Development Grant 430-2022-0037 (Escape Rooms and Prison Tourism) SSHRC Partnership Engage Grant 892-2023-0034 Research Trends (2023-2024): Critical analysis of carceral tourism, prison infrastructure impacts, and pandemic-era penal policies, emphasizing human rights and community-based alternatives. Awards : 2012 SSHRC Aurora Prize 2016 Young Researcher of the Year 2020 Media/Community Activities Award 2024 John Keith Irwin Distinguished Scholar Award Degrees : PhD in Sociology (Carleton University, 2012) MA in Criminology (University of Ottawa, 2006) B.Soc.Sci. in Criminology/Sociology (University of Ottawa, 2003-2004)

Mariusz Dejaمشاهده پروفایل

استاد

• Additive Manufacturing
• Computer-Aided Manufacturing (CAM)
• Abrasive Machining
• +۳ مورد دیگر

Prof. Mariusz Deja serves as the Dean of the Faculty of Mechanical Engineering and Ship Technology at Gdańsk University of Technology. He holds a PhD (2001) and habilitation (2014) in Mechanical Engineering. His academic roles include Head of the Department of Manufacturing and Production Engineering (since 2019), and former Vice-Dean for Education (2016–2020) and Vice-Dean for Cooperation (2020–2024). Education: Master's in Mechanical Engineering (1993), Pedagogical Studies (1993), and postgraduate courses in TQM and ECO-Integrated Mechanical Engineering (1997). Professional experience includes roles as an assistant (1993–2001), assistant professor (2002–2017), associate professor (2017–2019), and full professor (since 2019). Research focuses on abrasive machining, additive manufacturing, and CAPP algorithms. Key interests include material removal processes, precision engineering, and tool fabrication using AM. Collaborations include visiting professorships at China's Dezhou University (2018), Germany's Technical University of Berlin (2021–present), and Sweden's KTH Stockholm (2023–2024). Awards include the Silver Cross of Merit (2016) and multiple Rector Awards for scientific, didactic, and organizational achievements. His work spans over 98 publications, with recent studies on 3D printing applications, container terminal logistics, and AI-driven defect analysis. Labs/Teams: Involved in research infrastructure related to additive manufacturing tools and precision machining systems. Active in projects like the NEPTUN initiative (Horizon Europe-funded) and Industry 4.0 collaborations.

Sally S Cohenمشاهده پروفایل

استاد بالینی

• Health Policy
• Public Health
• Pediatric Nursing
• +۱۲ مورد دیگر

Sally S. Cohen, PhD, RN, FAAN, is a Clinical Professor at NYU Rory Meyers College of Nursing, where she integrates health policy into nursing education, practice, and research. She is a nationally recognized leader in advancing nursing and health policy at both state and national levels. Her interdisciplinary scholarship spans public health, children’s rights, bullying prevention, and the politics of policymaking for children’s issues. Her educational background includes a PhD from Columbia University, an MSN from Yale University, and a BA from Cornell University. She has held key leadership roles, including directing the Robert Wood Johnson Foundation Nursing and Health Policy Collaborative at the University of New Mexico and developing the Nursing Management, Policy, and Leadership specialty at Yale School of Nursing. Dr. Cohen’s research focuses on health disparities, child and adolescent mental health, bullying, care transitions, and policy advocacy. Her recent publications analyze racial and gender disparities in mental health, school-based services, and the integration of health and education systems. She also emphasizes the role of nurses in shaping public policy, particularly through tax and Medicare reforms. Her influential work as editor-in-chief of Policy, Politics & Nursing Practice (2014–2019) helped create a global forum for policy dialogue. Her publications reflect a strong trend toward interdisciplinary, policy-relevant research with direct implications for nursing practice and public health. Notable honors include: Lois Capps Policy Luminary Award (2019) 90 Outstanding Yale Nurses (2013) Kaplan-Landy Award for Vision, Innovation, and Leadership (2008) Election to the American Academy of Nursing (1988) and New York Academy of Medicine (2006) Dr. Cohen has advised national policy efforts, including advocacy that led to the establishment of the National Institute of Nursing Research in 1985. She has not received explicit mentions of grants, but her leadership in federally and foundation-funded initiatives (e.g., Robert Wood Johnson Foundation) suggests significant grant involvement. She is currently accepting PhD students, indicating active mentorship. She is affiliated with multiple professional organizations, including the American Academy of Nursing, American Public Health Association, and Society for Developmental and Behavioral Pediatrics, reflecting her interdisciplinary engagement.

• Optimization
• Combinatorics
• Tropical Geometry
• +۳ مورد دیگر

Xavier Allamigeon is a researcher at INRIA and CMAP (Centre de Mathématiques Appliquées) at École Polytechnique, where he also serves as a part-time associate professor in the Applied Mathematics Department. His research focuses on optimization, combinatorics, tropical geometry, game theory, and formalization of mathematics in proof assistants, with a particular emphasis on computational aspects of these fields. He earned his Ph.D. in 2009 from École Polytechnique with a thesis on static analysis of memory manipulations and tropical polyhedra. His work bridges theoretical mathematics and practical applications, including contributions to emergency call center modeling and epidemic monitoring during the COVID-19 pandemic. Key awards include the 2022 Prix Inria–Académie des sciences, the 2021 SIAM SIGEST award, and the 2010 Gilles Kahn Prize for Best Dissertation in Computer Science. His research has led to the development of tools like the Tropical Polyhedra Library (TPLib) and formal proofs in proof assistants such as Coq. He has supervised multiple Ph.D. students and contributed to funded projects such as URGE (2023–2026) and CAPPS (2018–2021). His interdisciplinary work spans optimization, formal methods, and applied mathematics, with applications in healthcare systems and computational geometry.

• Robotics
• Mechatronics
• Micro/nano manipulation
• +۱۴ مورد دیگر

Bijan Shirinzadeh is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University's Faculty of Engineering. His research spans robotics, mechatronics, micro/nano manipulation, robotic surgery, and advanced manufacturing systems. He is actively involved in cutting-edge research in automation, sensing, and control. His primary research interests include: Robotics and Mechatronics Micro/nano manipulation and positioning Robotic-assisted Minimally Invasive Surgery Haptically-enabled surgical instruments Autonomous and complex robotic systems Advanced sensing and control algorithms Multi-arm manipulation and robotic fibre placement Automated tooling and fixturing His recent publications (2024–2025) demonstrate sustained research activity in precision robotics, UAV navigation, transducer design, and biomedical identification, reflecting strong interdisciplinary work in mechanical systems, control theory, and biomedical applications. These articles emphasize innovations in compliant mechanisms, piezoelectric actuation, Kalman filtering, and frequency-coupled ultrasonic devices. Bijan Shirinzadeh's scientific contributions align with UN Sustainable Development Goals in automation and manufacturing. His work has resulted in over 437 research outputs, including journal articles and conference papers. He advises students and leads research projects in robotics and automation, though specific names are not listed. His lab likely focuses on precision mechatronic systems, surgical robotics, and intelligent control. He collaborates internationally, particularly in areas of UAV systems, micro-manipulation, and transducer development.

Olivier Cappéمشاهده پروفایل

استاد مدعو

• Machine Learning
• Statistical Signal Processing
• Bayesian Methods
• +۳ مورد دیگر

Olivier Cappé is a CNRS Research Director at the Department of Computer Science of École normale supérieure (DI ENS - CNRS/ENS/Inria) and an Adjunct Professor at Université PSL. He is affiliated with the Centre Sciences des Données (CSD) at ENS and serves as a Chair holder and member of the Executive committee of the Pr[AI]rie-PSAI (Paris School of AI) project. Previously, he served as deputy scientific director at INS2I (2017-2023) and headed the Information Processing and Communication Laboratory (LTCI) from 2013 to 2016. Dr. Cappé's research focuses on statistical signal processing and machine learning. His work spans several areas including Bayesian methods, Markov Chain Monte Carlo, online learning, multi-armed bandit models, and differential privacy for machine learning. Starting in speech and audio processing in the 1990s, he contributed to natural language processing applications in the 2000s, and has focused extensively on online learning and bandit algorithms since 2010. His recent work also addresses privacy issues in machine learning systems. Cappé teaches Reinforcement Learning and Differential Privacy for Machine Learning courses in the IASD master program at Université PSL. His publication record shows consistent output across multiple research areas, with recent work focusing on bandit algorithms, online learning, and privacy-preserving machine learning. His research bridges theoretical foundations with practical applications in digital advertising, recommendation systems, and pandemic response analysis. Grand Prize of the EADS Corporate Foundation (Information Sciences) from the French Academy of Sciences (2013) Co-author of 'Tout comprendre (ou presque) sur l'intelligence artificielle' with Claire Marc Dr. Cappé holds a Supélec engineering degree (1990) and a doctorate from ENST (currently Télécom ParisTech, 1993). He joined CNRS as a researcher in 1996 and has maintained a productive research career spanning over 30 years, with significant contributions to both theoretical and applied aspects of statistical signal processing and machine learning.

• Computer-Integrated Manufacturing
• Computer-Aided Design
• Computer-Aided Manufacturing
• +۹ مورد دیگر

Olusanjo Fadiya is a Lecturer in Mechanical Engineering at the Faculty of Computing, Engineering and Science, University of South Wales. He is a member of the Engineering Research and Innovation Group and his work contributes to the UN Sustainable Development Goals. His educational background includes: PhD in Industrial Engineering (Materials Logistics Systems) from the University of Wolverhampton (2008-2012) MSc in Mechanical Engineering from University College London (2004-2005) BEng in Mechanical Engineering (Manufacturing option) from the University of Ilorin, Nigeria (1997-2002) Dr. Fadiya has developed expertise in computer-integrated manufacturing (CIM) with specialization in computer-aided design (CAD), computer-aided manufacturing (CAM), and computer-aided process planning (CAPP). His research spans design, modeling, analysis, CNC programming, additive manufacturing, and process planning. His scholarly fingerprint reveals strong connections across manufacturing (100%), engineering (96%), mechanical engineering (81%), logistics (80%), construction industry (72%), and planning processes (64%). His publication record shows a progression from construction logistics research (2010-2015) examining plant theft, construction waste, and ICT-based logistics frameworks, to his most recent 2023 work focusing on student-centered educational methodology using appreciative inquiry. This represents a notable expansion of his research into engineering education while maintaining connections to quality management principles. Professional contributions include serving as an External Examiner at the University of Southern Queensland (April-June 2019).

Susan Lupackمشاهده پروفایل

مدرس ارشد

• Classics
• Greek and Roman Archaeology
• Minoan Religion
• +۵ مورد دیگر

Susan Lupack is a Senior Lecturer in the Ancient History Department within the School of Humanities at Macquarie University, where she joined in February 2017. She brings extensive international experience from teaching positions at Brooklyn College, University College London, and the University of Pennsylvania, along with her prior role as Editor of Hesperia, The Journal of the American School of Classical Studies at Athens (2013-2017). B.A. with Honours in Classics, New York University M.A. in Latin, University of Texas at Austin Ph.D. in Classics (specialty: Greek and Roman Archaeology), University of Texas at Austin American School of Classical Studies at Athens (Fulbright Fellow and Capps Fellow) Dr. Lupack's research focuses on Aegean Bronze Age civilizations, with particular expertise in Minoan and Mycenaean religion, economy, and society. Her fieldwork spans archaeological projects in Italy, Israel, Cyprus, and Greece, including the Pylos Regional Archaeological Survey, Athenian Agora Excavations, and the Eastern Boeotia Archaeological Project (2006-2012). She currently co-directs the Perachora Peninsula Archaeological Project and contributes to an ARC Linkage Project investigating a 19th-century shale-mining community. Her recent publications demonstrate a consistent focus on Aegean religious practices across time periods, with significant contributions to major reference works including the Oxford Handbook of the Bronze Age Aegean. Current research includes her forthcoming book Mycenaean Religion: The Creation and Expression of a Society's Ideology and a Ted Ed video on The Decipherment of Linear B. Faculty of Arts Teaching Innovation Award (2023) Dr. Lupack actively supervises research and participates in significant archaeological fieldwork. Her current projects include the Perachora Peninsula Archaeological Project (2019-2026) and the ARC Linkage Project 'History, heritage and environmental change in a deindustrialised landscape' (2020-2024). She is also affiliated with the Centre for Ancient Cultural Heritage and Environment (CACHE) at Macquarie University. Her laboratory work focuses on ceramic analysis and archaeological survey methodology, particularly through the Perachora Peninsula Archaeological Project which investigates the religious and social landscape around the Sanctuary of Hera. She frequently presents her findings at international conferences and has established significant collaborations with researchers across Europe and Australia.

Zoe Sutherlandمشاهده پروفایل

مدرس ارشد

• Disability Theory and Politics
• Feminist Theory
• Social Reproduction
• +۷ مورد دیگر

Zoe Sutherland is a Senior Lecturer at the University of Brighton within the School of Humanities and Social Science, affiliated with the Centre for Applied Philosophy, Politics and Ethics (CAPPE). Her work bridges academic research with community collaboration, particularly in disability politics and feminist theory. She holds a DPhil in Philosophy from the University of Sussex, following BA and MA degrees from Middlesex University and King’s College London. Her research focuses on disability theory, feminist social reproduction politics, and critical engagements with art history. Notably, she co-leads CAPPE’s ‘Disability Politics’ and ‘Politics of Reproduction’ initiatives, organizing interdisciplinary events and collaborations with disabled communities and feminist groups. Her scholarship critiques historical eugenics, capitalist systems, and postwar art movements like Conceptual Art. Key collaborations include work with the Global Anti-Eugenics Forum and From Small Beginnings, examining eugenics legacies. She has also curated events like ‘Disability Politics After Covid’ and ‘Radical Disability Politics – A Global Dialogue’. Her teaching spans courses on gender, body politics, and revolutionary theory.

• Process planning
• Production optimization and logistics
• Techno-economic optimization
• +۵ مورد دیگر

Dejan Lukić serves as Full Professor and Vice-Dean for Investments and Cooperation with Industry at the Faculty of Technical Sciences, University of Novi Sad. He has held progressively senior academic positions since joining the institution in 2000, including Director of the Department of Production Engineering (2021-2024) and Assistant Director (2018-2021). His academic journey began with undergraduate studies in Mechanical Engineering at the same faculty, followed by master's (2007) and doctoral degrees (2012) in specialized production engineering fields. His educational background includes: Bachelor's degree in Mechanical Engineering, Faculty of Technical Sciences (1999) Master's thesis: 'Development of a system for automated design of technological processes for manufacturing plastic injection molds' (2007) Doctoral dissertation: 'Development of a general model of technological preparation of production' (2012) Professor Lukić's research focuses on process planning, production optimization, and techno-economic analysis in manufacturing systems. His work bridges theoretical frameworks with practical industrial applications, particularly in virtual design, CAPP systems integration, and optimization of manufacturing processes. He has made significant contributions to the application of digital technologies in production engineering, including STEP-NC implementation, fuzzy logic for quality control, and collaborative process planning systems. His publication record demonstrates consistent advancement in manufacturing process optimization, with recent work emphasizing multi-criteria decision making, thin-walled structure machining, and digital integration of manufacturing systems. The research trajectory shows evolution from foundational work in traditional process planning toward contemporary applications involving artificial intelligence, collaborative systems, and Industry 4.0 technologies. Professor Lukić has been actively involved in academic service, participating in numerous evaluation committees, professional competitions, and serving as representative of Serbia in the Assembly of the Institute for Materials Testing. His industrial engagement includes consulting on CE/3A product marking, technical system maintenance, and implementation of application software solutions. As an educator and mentor, he has supervised more than 45 undergraduate and master's theses, completed one doctoral dissertation supervision, and currently guides three doctoral candidates. He teaches a comprehensive curriculum spanning process planning, production optimization, logistics, and technological preparation of production across all academic levels. His leadership extends to heading the Master of Professional Studies in Production Engineering program and serving on program committees for multiple scientific conferences and journals in mechanical engineering. Professor Lukić also maintains active industry collaboration through solving professional problems related to product development, manufacturing systems maintenance, and specialized training programs.

Deepti Salviمشاهده پروفایل

استاد

• Food Safety
• Non-thermal Processing
• Plasma Technology
• +۷ مورد دیگر

Dr. Deepti Salvi serves as Associate Department Head of Food Engineering in the Department of Food Science at North Carolina State University's College of Agriculture and Life Sciences. She maintains an active research laboratory focused on innovative food processing technologies, particularly cold atmospheric pressure plasma applications for food safety and quality. Her educational background includes a Ph.D. in Biological and Agricultural Engineering from Louisiana State University (2008), an M.E. in Food Engineering and Bioprocess Technology from Asian Institute of Technology, Thailand (2005), and a B.Tech. in Agricultural Engineering from Dr. B. S. Konkan Agriculture University, India (2003). Dr. Salvi's research interests center on food processing techniques including cold atmospheric pressure plasma, high pressure processing, microwave processing, extrusion, and ultraviolet processing to ensure food safety and quality. She investigates the role of physical properties of food to control excessive caloric intake and enhance nutrient absorption in the human gastrointestinal tract, and conducts numerical modeling of transport phenomena in biological and food engineering systems. Her recent publications reveal a strong emphasis on plasma-activated water applications across various food matrices, UV-C treatments for powder decontamination, and electrode design optimization for more efficient plasma systems. Her work spans both fundamental research on mechanisms of action and practical applications for industry implementation. Dr. Salvi has secured numerous research grants as Principal Investigator from USDA, NSF (through CAPPS), and industry partners including the American Egg Board. Her current projects focus on next-generation plasma solutions for food safety, UV-C technology for powdered foods, and development of ready-to-eat healthy snacks through extrusion. She actively mentors graduate and undergraduate students, with current lab members including post-doctoral researchers, Ph.D. candidates, M.S. students, and undergraduate researchers. Her laboratory maintains strong collaborations with researchers across multiple disciplines including microbiology, electrical engineering, and packaging science.

Zhang Yunfengمشاهده پروفایل

دانشیار

• Computational Intelligence in Design and Manufacturing
• Reverse Engineering
• CAPP and Production Scheduling
• +۲ مورد دیگر

Zhang Yunfeng is an Associate Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS), where he has been a faculty member since 1992. He teaches undergraduate courses including ME3261: Principles of CAD/CAM and ME4262: Automation in Manufacturing, contributing to advanced manufacturing education. He earned his B.Eng. from Shanghai Jiao Tong University (1985) and Ph.D. from the University of Bath (1991), establishing his expertise in computational manufacturing systems. His research spans Computational Intelligence in Design and Manufacturing—with focus areas in reverse engineering, CAPP coupled with production scheduling, and multi-axis tool-path planning—and UAV Applications, particularly mission planning for heterogeneous UAVs in complex environments. Analysis of his 2009-2015 publications reveals strong emphasis on sustainable manufacturing (energy-efficient machining processes) and intelligent UAV coordination systems. His work consistently bridges theoretical computational intelligence with industrial implementation, yielding practical algorithms for manufacturing optimization and aerial robotics. Professional recognition includes: Senior Member of the Society of Manufacturing Engineers (SME) His academic service encompasses key CAD/CAM instruction and research supervision. While specific grant details and student lists are unreported, his sustained publication output and 30+ year tenure at NUS indicate substantial research funding and mentorship activities in manufacturing automation and UAV technology.

Xianzhi Zhangمشاهده پروفایل

مدرس ارشد

• Manufacturing Informatics
• Intelligent Manufacturing
• Cloud Manufacturing
• +۱۳ مورد دیگر

Xianzhi Zhang is a Senior Lecturer in Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield, United Kingdom. He is an Associate Member of both the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems and High-Performance Computing. He is currently accepting PhD students and actively supervising research in advanced manufacturing and intelligent systems. Research Interests: His expertise lies in manufacturing informatics and the integration of manufacturing systems. He specializes in intelligent manufacturing, cloud manufacturing, Big Data applications in manufacturing, STEP-NC standards, and Computer-Aided Process Planning (CAPP). His work supports sustainable industrialization and aligns with UN Sustainable Development Goals. He applies data-driven methods and knowledge management to improve manufacturing efficiency and interoperability in Industry 4.0 environments. Recent Research Trends: Analysis of his latest publications (2020–2023) reveals a strong focus on smart manufacturing technologies, including real-time condition monitoring in additive manufacturing using acoustic emissions, development of advanced composite materials for electromagnetic shielding, and optimization of machining processes through friction modeling. His interdisciplinary work spans materials science, biomedical engineering, and industrial informatics. Professional Activities: He is a member of the Institution of Engineering & Technology (IET) and has delivered multiple oral and invited presentations on interoperable manufacturing, process planning, and connected vehicles. His research output includes 29 publications with significant citations, particularly in engineering and materials science domains. Advising and Grants: He is actively involved in PhD supervision and encourages prospective students to pursue research in his areas of expertise. While specific grants are not listed, his past involvement in EU projects such as 'Dematerialisation of machine tools' and STEPMAN indicates a history of externally funded research. Labs and Research Centers: He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems and High-Performance Computing at the University of Huddersfield, contributing to interdisciplinary research in high-performance engineering systems.