Topical Advisory Panel
- Applied Biosciences and Bioengineering Section
- Applied Dentistry and Oral Sciences Section
- Biomedical Engineering Section
- Applied Microbiology Section
- Applied Neuroscience and Neural Engineering Section
- Materials Science and Engineering Section
- Chemical and Molecular Sciences Section
- Nanotechnology and Applied Nanosciences Section
- Surface Sciences and Technology Section
- Environmental Sciences Section
- Green Sustainable Science and Technology Section
- Earth Sciences Section
- Ecology Science and Engineering Section
- Energy Science and Technology Section
- Optics and Lasers Section
- Acoustics and Vibrations Section
- Applied Physics General Section
- Quantum Science and Technology Section
- Applied Thermal Engineering Section
- Fluid Science and Technology Section
- Computing and Artificial Intelligence Section
- Mechanical Engineering Section
- Civil Engineering Section
- Electrical, Electronics and Communications Engineering Section
- Applied Industrial Technologies Section
- Food Science and Technology Section
- Robotics and Automation Section
- Aerospace Science and Engineering Section
- Marine Science and Engineering Section
- Transportation and Future Mobility Section
- Agricultural Science and Technology Section
- Additive Manufacturing Technologies Section
Members
Interests: artificial intelligence; neural networks; machine learning; computer image analysis; computer engineering; prediction; production process optimization and modeling; process management; Internet of Things; business management; management process; trends in management
Special Issues, Collections and Topics in MDPI journals
2. College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, China
Interests: water pollution control; emerging organic pollutants; adsorption; catalysis; resource utilization
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Interests: structural health monitoring; finite element analysis; structural behavior; mechanical design; crashworthiness
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Interests: metal additive manufacturing; steel; heat treatment; metals for nuclear fusion application; alloy design
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Interests: ergonomics; innovative product development; digital human scan analysis; smart healthcare; VR/AR/MR; multimodal AI
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Interests: energy-water; smart energy systems; intelligent control
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Interests: physiotherapy; musculoskeletal manipulations; exercise therapy; clinical reasoning; evidence-based practice; patients-reported outcomes; biomedical instrumentation; electronics; 3D printing
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Interests: polymer; biopolymer; biomaterial; protein; polymer processing; drug delivery; tissue engineering; 3D printing; organ on a chip; artificial cell; polymeric nanoparticle
Interests: endodontic instrument; digital dentistry; augmented reality applications; restorative dentistry; prosthetic dentistry
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Interests: biomass energy; biomass materials; pyrolysis; machine learning; AspenPlus; LCA; TEA
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Interests: sustainable oxidation processes; catalysis; transformation and structural characterization of organic compounds; innovative products development from plant biomass; extraction of phytochemicals from agroforestry and agroindustrial by-products; value-added products; circular bioeconomy; liquid and gas chromatography; bioactivity; antioxidant; antimicrobial activity
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Interests: neutron and X-rays techniques for cultural heritage; neutron and X-ray imaging; diffraction; gamma spectroscopy; neutron resonance analysis; Raman spectroscopy and X-ray fluorescence
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Interests: static guided surgery; dynamic guided surgery; immediate loading; immediate implant placement
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Interests: endocrinology
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2. Instituto Murciano de Investigación Biosanitaria “Virgen de la Arrixaca” (IMIB-Arrixaca), 30100 Murcia, Spain
Interests: ionizing radiation; radiation effects; radiobiology; radiation protection; radiology; radiotherapy; radioprotectors; radiosensitizers; nonionizing radiation
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Interests: medical physics; dosimetry; radiation therapy; radiobiology; radiotherapy; cytotoxicity; raman spectroscopy; radioactivity
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Interests: artificial intelligence; computer science; machine learning and deep learning; computer vision; high energy astrophysics
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