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Cheng Wang

Cheng WangCheng Wang, M.D., Ph.D. is a Senior Scientist at the National Center for Toxicological Research (NCTR)/US Food and Drug Administration (FDA). He is also an Adjunct Faculty member in the Department of Pharmacology and Toxicology, University of Arkansa for Medical Sciences (UAMS).
Dr. Wang is the P.I. of protocols (grants) supported by the NCTR/FDA, National Toxicology Program and NICHD. He is currently responsible for leading a research team that provides unique and highly specialized skills in neural toxicology, pharmacology, systems biology and stem cell biology research. Dr. Wang has published more than 80 peer-reviewed research articles in prestigious journals and 20 book chapters. Dr. Wang is a Co-Editor-in-Chief of the book entitled “Developmental Neurotoxicology Research: Principles, Models, Techniques, Strategies, and Mechanisms” and “Neural Cell Biology”. He also serves as Editor-in-Chief for Journal of Evolving Stem Cell Research (JESR) and Global Journal of Anesthesiology.

Dr. Wang was awarded the Outstanding Performance Award at the Society of Toxicology 44th Annual Meeting and the 2007 FDA Scientific Achievement Award for Excellence in Laboratory Science. He also was awarded a 2008 FDA Group Recognition Award for his participation in the Pediatric Anesthesia Research Group.

Research Interests
Neural Stem Cell Biology
Application of Systems Biology in Neurotoxicological Studies during Development
Activity-induced Synaptic Plasticity and Neural Cell Adhesion Molecule
Potential Pediatric Anesthetic-induced Neural Cell Death and the Potential Role of Neurotransmission (Mechanistic Studies)
Mitochondrial DNA Damage and Expression Levels of DNA Repair Enzymes
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Wireless Algorithms, Systems, and Applications
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AED336
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23 May 2014
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5G Wireless Systems
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Detonation Control for Propulsion
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5G Wireless Systems
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Detonation Control for Propulsion
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VLSI Test Principles and Architectures
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Due Date-Related Scheduling with Two Agents
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Artificial Intelligence in Education: Emerging Technologies, Models and Applications
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Artificial Intelligence in Education: Emerging Technologies, Models and Applications
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Computational Optical Phase Imaging
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Reconstruction and Intelligent Control for Power Plant
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Novel Precast Concrete Structure Systems
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Advances in Cognitive Radio Systems
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Bioelectrochemistry Stimulated Environmental Remediation
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Large-Scale Disk Failure Prediction
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Computational Structural Behavior
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Evolutionary Multi-Criteria Optimization
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Human-Machine interfaces in Medical Robotics
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Chassis-Domain-Oriented Dynamic Control for Autonomous Vehicles
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