جست‌وجوی استاد و پژوهشگر

Chu Maمشاهده پروفایل

استاد

• Acoustic functional materials
• Biomedical ultrasonic imaging
• Non-destructive testing
• +۴ مورد دیگر

Chu Ma is a Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison, leading the Acoustic Sensing and Functional Materials (ASFM) Laboratory. His primary affiliations include dual appointments in Mechanical Engineering and the College of Engineering. He specializes in acoustic functional materials and their applications in biomedical imaging, non-destructive testing, and communication systems. Education: PhD, 2019, Massachusetts Institute of Technology MS, 2013, University of Michigan-Shanghai Jiao Tong University Joint Institute BS, 2011, Shanghai Jiao Tong University Research focuses on metamaterials for acoustic sensing, biomedical ultrasonics, and computational imaging. His lab develops innovative systems for subwavelength imaging and vibration analysis. Recent projects include wireless acoustic sensors and functional material designs for medical and industrial applications. Key awards include the NSF CAREER Award (2023), 3M Non-Tenured Faculty Award (2023), and Dugald C. Jackson Assistant Professorship (2024). He has published widely on metamaterial-based sensors, acoustic subwavelength imaging, and biomedical applications of thermoacoustic systems. Teaching includes courses on electro-acoustic engineering, linear waves, and independent research supervision. Collaborations span mechanical engineering and biomedical fields, with active projects in silk-based acoustic fabrics and microwave-induced thermoacoustic signal monitoring.

Minto Michaelمشاهده پروفایل

استادیار

• Food Microbiology
• Food Safety
• Dairy Microbiology
• +۷ مورد دیگر

Minto Michael is an Assistant Professor of Dairy Science at Washington State University's School of Food Science. His research focuses on applied food microbiology, particularly dairy microbiology and food safety. He leads two laboratories: a Biosafety Level 2 (BSL-2) Dairy Microbiology Lab and a Food Processing Lab, addressing probiotic longevity, dairy product safety, and antimicrobial interventions. He teaches courses like Dairy Processing and Science on Your Plate. His work includes thermal inactivation studies, hyperspectral imaging for pathogen detection, and ultrafine bubble technology applications in food safety. Education: Ph.D. (2014), M.S. (2010), and B.E. (2006) in Food Science/Technology from Kansas State University and Punjab's Sant Longowal Institute. Postdoctoral research at Kansas State University's Food Safety and Defense Lab (2015–2018) and prior roles as a Quality Control Analyst in India. Research emphasizes dairy powder safety, biofilm removal, and rapid pathogen identification via hyperspectral imaging. Collaborations include validation of food processing steps (e.g., baking, frying) to control pathogens like Salmonella and Listeria. Over 30 peer-reviewed publications focus on thermal inactivation parameters, antimicrobial efficacy, and probiotic viability. Awards and grants: No explicit mentions, but extensive industry partnerships and federally funded research projects are implied through published outputs. Active lab teams and student mentorship in food safety innovation. Labs/Teams: Leads interdisciplinary teams in food microbiology, collaborating with industry partners on applied safety solutions. Research extends to pet food, bakery, and dairy sectors.

Mohammed Kamruzzamanمشاهده پروفایل

استادیار

• Hyperspectral Imaging
• Food Safety
• Nanozymes
• +۵ مورد دیگر

Mohammed Kamruzzaman is an Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign (UIUC), with affiliations to the Center for Digital Agriculture and the National Center for Supercomputing Applications (NCSA). His research focuses on advancing food safety and agricultural quality assessment through innovative technologies like hyperspectral imaging, near-infrared spectroscopy, and nanozyme-based sensing systems. Key research areas include non-destructive food quality analysis, smart sensor development, and AI-driven solutions for agriculture. He explores applications ranging from detecting adulteration in food products to optimizing biomass characterization for biofuels. His work integrates machine learning and chemometrics to enhance precision in agricultural and biomedical diagnostics. Recent publications highlight advancements in hyperspectral imaging for egg and hatchery industry applications, AI-enabled optical sensing for food drying processes, and sustainable nanozyme platforms for toxin detection. His contributions bridge engineering, chemistry, and computer science to address global challenges in food security and environmental sustainability. Collaborations span academia and industry, with a focus on translating research into practical tools for farmers, food processors, and environmental monitoring systems. He actively publishes in high-impact journals like Artificial Intelligence Review , Food Chemistry , and Computers and Electronics in Agriculture .

Silvia Paniمشاهده پروفایل

مدرس ارشد

• Medical Imaging
• Radiation Physics
• X-ray Techniques
• +۴ مورد دیگر

Dr. Silvia Pani is a Senior Lecturer in Applied Radiation Physics at the University of Surrey, part of the School of Mathematics and Physics. She holds a Laurea in Physics from the University of Trieste (1996) and a PhD in Physics (2001). Her career includes postdoctoral work on synchrotron beamlines, a Marie Curie Fellowship at University College London (2004), and roles at Queen Mary University of London and Barts NHS Trust. She joined Surrey's Physics Department in 2008 and became Senior Lecturer in 2017. Roles: Programme Director (MSc Medical Physics), Radiation Protection Supervisor Education: Postgraduate Certificate in Academic Practice (2010) Research focuses on X-ray imaging techniques for medical and security applications, including breast imaging, quantitative spectroscopic methods, and adaptation of synchrotron techniques to laboratory settings. Key collaborations involve institutions like Rutherford Appleton Labs, University of Manchester, and the Home Office. Publications emphasize hyperspectral detectors, scatter-free imaging, and CT optimization. Her work combines detector development with clinical applications, aiming to improve diagnostic accuracy while reducing radiation dose.

Zoheir ABOURAمشاهده پروفایل

استاد

• Composite Materials
• Structural Health Monitoring
• Nanomaterials
• +۳ مورد دیگر

Zoheir ABOURA is a Professor at the Laboratoire Roberval, Université de Technologie de Compiègne. He leads the Materials and Surfaces team, focusing on advanced composite materials and structural health monitoring technologies. His work integrates nanotechnology, piezoelectric sensors, and data analysis for industrial applications. Research interests include enhancing conductivity in carbon fiber composites, developing piezoresistive sensor systems for damage detection in aerospace composites, and analyzing thermal/mechanical behavior of polymer-matrix materials. Collaborations include SAFRAN Aircraft Engines, Zodiac Aerospace, and ARKEMA. Recent publications (2018-2019) emphasize nanofiller incorporation in composites, structural health monitoring via tufted reinforcements, and in-situ piezoelectric sensor integration during manufacturing. Current projects involve thermoplastic composites under self-heating conditions. Labs/Teams: Materials and Surfaces team at Laboratoire Roberval. Industrial partnerships focus on aerospace and composite material applications.

Liangliang Chengمشاهده پروفایل

استادیار

• Structural Health Monitoring
• Non-Destructive Testing
• Vibration Analysis
• +۲ مورد دیگر

Dr. Liangliang Cheng is a Tenure Track Assistant Professor in Dynamics and Vibration at the University of Groningen. His research develops physically interpretable machine learning methods for structural health monitoring and non-destructive testing applications. Research innovations include: Novel computer vision techniques for vibration measurement Advanced signal processing for damage detection Machine learning frameworks for structural diagnostics

• Aerospace Engineering
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Michele Pasquali is an Associate Professor at the Department of Mechanical and Aerospace Engineering of Sapienza University of Rome. His research focuses on advanced materials for aerospace and high-energy physics applications, structural health monitoring, Industry 4.0 integration in aerospace manufacturing, and preliminary design methodologies for satellite systems and collimation systems in particle accelerators. His work often intersects with experimental facilities at CERN, particularly the HiRadMat facility for material testing under extreme conditions. Key research themes include: Development of advanced composite materials for aerospace and accelerator components Integration of AI and immersive technologies (AR/VR) in manufacturing and assembly processes Optimization of beam collimation systems for high-luminosity particle accelerators like the HL-LHC and FCC Economic analysis of space infrastructure concepts such as lunar propellant mining Systems engineering approaches for Earth observation satellite constellations His recent projects include: Design of a Cyber-Physical System for AR-assisted assembly of aerospace components Material characterization studies for vacuum beam windows at CERN facilities Preliminary analysis of moon-mined propellant viability for on-orbit refueling Collaborations involve major scientific institutions such as CERN and contributions to Future Circular Collider (FCC) conceptual design reports. His work bridges theoretical modeling with practical implementation in cutting-edge engineering systems.

• Machine Vision
• Image Processing
• Laser Sensing
• +۵ مورد دیگر

Dr. Xin Wang is an Associate Professor at the Malaysia School of Engineering, Monash University Malaysia. She holds a PhD from Nanyang Technological University (NTU) and has held roles such as Research Fellow at NTU's Robotics Research Center (2007–2009) and Assistant Professor at Universiti Tunku Abdul Rahman (2009–2012). She became a Senior Lecturer at Monash in 2012 and promoted to Associate Professor in 2018. She also served as a Visiting Professor at the National Metrology Centre (Singapore, 2011) and the Centre for Optical & Laser Engineering, NTU (2016). Research Interests: Focus on machine vision, image processing, laser sensing, optical metrology, deep learning, AI in healthcare, non-destructive testing, and structural health monitoring. She has published over 70 peer-reviewed papers and 2 book chapters. Her work aligns with UN SDGs related to innovation and industrialization. Awards: Distinguished Woman Researcher (2025) IEEE SMC Volunteer Award (2020) ITEX 2018 Silver Medal (Team) ITEX 2021 Gold Medal (Team) Teaching: Monash courses include MEC3457 (Systems and Control) and MEC4801 (Non-Destructive Testing and Inspection).

Elena Dragomirescuمشاهده پروفایل

دانشیار

• Wind Engineering
• Structural Reliability
• Bridge Engineering
• +۵ مورد دیگر

Elena Dragomirescu is an Associate Professor in the Department of Civil Engineering at the University of Ottawa's Faculty of Engineering. She joined the department in 2008 after research positions at Yokohama National University (2004) and Nagoya University (2006), establishing expertise in structural reliability and wind engineering for bridges and infrastructure. Her educational background includes: Ph.D. in Civil Engineering from Yokohama National University, Japan M.A.Sc. in Civil Engineering from University of Bucharest, Romania (UNESCO Chair Program) B.Sc. in Civil Engineering from University of Bucharest, Romania Dr. Dragomirescu's research focuses on wind effects on structures , particularly aerodynamics of suspension bridges and structural reliability . She develops probabilistic methods for predicting wind-induced fatigue in slender structures using computational wind engineering (CFD) and aerodynamic formulations. Current projects address moisture ingress in building envelopes and machine learning applications for structural health monitoring, reflecting adaptation to climate resilience challenges. Analysis of her 2021-2025 publications reveals dual research thrusts: (1) moisture dynamics in building envelopes across Canadian climates, and (2) deep learning (LSTM/transformers) for structural assessment of bridges/beams. This strategic integration of data-driven methods with core wind engineering expertise demonstrates responsiveness to infrastructure resilience demands while maintaining theoretical rigor in probabilistic structural dynamics. She has received numerous scholarships and awards throughout her career, though specific honors are not detailed in available sources. Professional service includes membership in the Steering Committee for Japanese National Wind Engineering Guidelines (2008-2010) and active roles in JAWE, JSCE, CSCE, and IAWE. As coordinator of the International Exchange Program for Students, Dr. Dragomirescu facilitates global academic partnerships. Her research has been supported through international collaborations with Ecoland and UNESCO, and she regularly serves as a journal reviewer. Future work appears directed at machine learning applications for real-time structural integrity assessment under extreme winds, with implications for bridge safety standards and climate-adaptive building design. Her laboratory work involves wind tunnel testing and computational simulations for aerodynamic studies of bridge components (cable stays, multi-box decks) and building envelope systems, complemented by experimental validation of structural dynamics phenomena.

• Geophysics
• Petrophysics
• Gas Hydrate Systems
• +۲ مورد دیگر

Ann Cook is Professor and Director of Undergraduate Studies in the School of Earth Sciences at Ohio State University. Her research employs petrophysics and geophysics to study natural gas hydrate systems globally, with focus on the Gulf of Mexico, Arctic, and Pacific margins. She examines hydrate formation mechanisms, quantification methods, and geological controls through core analysis, seismic interpretation, and modeling. Her extensive publication record demonstrates consistent focus on hydrate-bearing reservoirs, submarine landslides, and sediment characterization. Recent work emphasizes advanced techniques including pressure coring, CT scanning, and noble gas tracing. She has led multiple Gulf of Mexico research expeditions including UT-GOM2-2.

• Structural Engineering
• Masonry Structures
• FRP Strengthening
• +۳ مورد دیگر

Professor Mark Masia is a faculty member in the School of Engineering at the University of Newcastle, specializing in structural engineering and masonry systems. He holds a PhD from the University of Newcastle, with research focused on masonry structural behavior, FRP strengthening, and seismic retrofitting. His career spans over two decades, including roles as Lecturer, Senior Lecturer, and Professor at the University of Newcastle. Research interests include experimental and numerical modeling of unreinforced masonry (URM) structures, FRP-strengthened masonry, and the development of design methods for URM. Teaching expertise covers statics, structural mechanics, and design of masonry, concrete, and timber structures. Administrative roles include Program Convenor for Civil Engineering and leadership in academic committees. Key Contributions: Development of semi-interlocking masonry systems for improved seismic performance. Investigations into corrosion effects on masonry wall ties and durability enhancement. Advancements in probabilistic modeling and reliability assessment of masonry structures. Publications span over 100 peer-reviewed articles, focusing on masonry mechanics, material characterization, and structural safety. His work bridges experimental testing, numerical analysis, and practical engineering applications.

Md Akhtar Hossainمشاهده پروفایل

مدرس

• Civil Engineering
• Structural Engineering
• Fire Protection Engineering
• +۳ مورد دیگر

Dr. Md Akhtar Hossain is a Lecturer and Research Associate at the School of Engineering, University of Newcastle, Australia. He previously served as a Lecturer and Program Coordinator at the University of Newcastle (UON), Singapore. His academic journey includes a Doctorate in Civil Engineering from the University of Newcastle, an MSc in Fire Safety Engineering from European universities, and a BSc in Civil Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh. He has been affiliated with the University of Newcastle since 2015 and has held roles such as Course Coordinator for multiple Civil Engineering programs. His research focuses on experimental and numerical modeling of masonry structures, FRP strengthening, computational mechanics, and fire protection materials. He has authored over 20 articles in international journals and conferences, with notable contributions to masonry behavior under seismic and fire conditions. His work has been recognized through awards such as the M.A. Hatzinikolas Award (2017) and the UNIPRS Scholarship (2015). Dr. Hossain has secured grants totaling AUD 10,500, including a Faculty Strategic Research Grant (2020) and a Conference Travel Grant (2024). He collaborates internationally, with research networks spanning Australia, Bangladesh, and Europe. His teaching spans courses like Structural Mechanics, Geomechanics, and Fire Safety Compliance. He is a member of Engineers Australia and the Concrete Institute of Australia.

Dawit Negusseyمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geofoam
• Soil Mechanics
• +۳ مورد دیگر

Dawit Negussey serves as a Professor and Graduate Dean’s Faculty Fellow for Diversity and Inclusion at Syracuse University, where his work advances geotechnical engineering through innovative infrastructure solutions. His research bridges academic theory with practical industry applications, particularly in sustainable civil engineering systems. Educational Background Ph.D. in Civil Engineering, University of British Columbia Research Expertise Negussey's research program focuses on EPS geofoam geotechnics , addressing critical infrastructure challenges through: Forensic analysis of culvert and pipeline failures Optimization of geofoam installation parameters (density, vertical gaps) Non-destructive testing methodologies for material quality assurance Long-term creep behavior under confinement conditions Integration of sensor networks for structural health monitoring Applications in bridge support and transportation infrastructure His interdisciplinary approach combines soil mechanics, materials science, and sensor technology to enhance infrastructure resilience and safety. Scholarly Impact Analysis of his 2013-2019 publications reveals consistent contributions to geofoam engineering, with emphasis on practical failure investigation, construction techniques, and performance validation. His work in ASCE journals and specialized conferences demonstrates strong industry relevance, particularly in infrastructure rehabilitation and lightweight fill applications. Teaching and Leadership Negussey teaches core courses in Soil Mechanics, Geotechnical Engineering, and Transportation Engineering while advancing Syracuse University's diversity initiatives through his Graduate Dean’s Fellowship, promoting inclusive excellence in graduate education. Awards and Service No scientific awards were documented in the source material. His administrative role as Graduate Dean’s Faculty Fellow highlights commitment to academic service and graduate student development, though specific grant activities or advising details were not provided.

Philipp Hukeمشاهده پروفایل

استاد

• Optical Metrology
• Non-Destructive Testing
• Coherent Technologies
• +۶ مورد دیگر

Prof. Philipp Huke is a Professor in the Department of Technology at the University of Applied Sciences Emden/Leer. His research focuses on optical metrology, non-destructive testing methods, and coherent technologies. He coordinates the 'Calibration-Unit' sub-project in the HIRES international research initiative. Key areas include laser frequency comb applications, Fourier transform spectroscopy, and high-precision radial velocity measurements. Expertise: Optical inspection systems, 3D shape measurement, thermography, digital image correlation Key projects: HoloMet 2010 conference contributions, automotive component quality inspection systems His work bridges fundamental optical research with industrial applications, particularly in automotive manufacturing and precision instrumentation. Notable contributions include algorithm development for spectroscopic phase correction and iodine cell calibration methods for astrophysical measurements.

Marcus Oliver Weberمشاهده پروفایل

استاد

• Textile Engineering
• Knitting Technology
• Sustainable Textiles
• +۴ مورد دیگر

Marcus Oliver Weber is a Professor at the Department of Textile and Clothing Technology at Niederrhein University of Applied Sciences. He also serves as Head of the Department of Textile Management at Technische Universität Berlin (TUB). His work spans textile engineering, knitting innovation, and sustainable material science. Academic Rank: Professor Primary Role: Niederrhein University of Applied Sciences Secondary Role: Head of Department of Textile Management at TUB Research Interests focus on advanced knitting technologies , smart textiles , and sustainable fiber applications . Key areas include biodegradable textile solutions, conductive yarns for sensor applications, and technical textiles for protective, medical, and automotive sectors. Recent Publications highlight innovations in PLA-based biodegradable packaging , ultrasonic welding of nanofibers , and thermodynamic properties of spacer fabrics . His work emphasizes sustainable practices, material testing, and smart textile integration. Scientific Awards & Activities include UNIDO Technical Advisor Bundesgerichtshof (BGH) Technical Advisor ISO Standardization Committee for Knitting Machines Patents cover novel yarn feeding systems and textile machine designs. Teaching responsibilities include courses in Textile and Clothing Technology , Design Engineering , and Textile Product Management .