(Topics include but are not limited to)
Topic 1: Bioengineering
molecular genetics
microbiology
Cell Biology
biochemistry
chemical engineering
Energy Science
Modern Bioengineering
genetic engineering
cell engineering
Enzyme Engineering
Fermentation Engineering
biology
zoology
entomology
Neurobiology
Neuroscience
bioengineering
Cell genetic engineering
edible fungi
Biological pesticides
Biomass energy 
Microbial Applications
Agricultural Biotechnology
Food fermentation
Biological agents
Bioelectronics Engineering
Bioreactor
Sterilization technology
Emerging Protein Engineering
medicine
food
farming and forestry
gardening
chemical industry
metallurgy
oil recovery
New technology for fermentation tanks
Environmental protection of new substrates
environmental science
molecular biology
Food Technology
Biomechanics and biomechanical engineering
Topic 2: Medical Science
biomedical science
Medical Science
Remote healthcare
Clinical Decision Support System
Pharmaceutical Engineering
Nutrition Science
Machine Learning and Medical Deep Learning
Virtual nursing
Intelligent diagnosis and treatment
Healthy diet
Bioinformatics
Biomedical sensors
Dietary balance research
Information Science and Technology
Virtual diagnosis and treatment system
Chemistry, Pharmacology, and Toxicology
Food Safety
Healthcare
Medical Information Technology
Optical imaging and diagnostic technology
Biomedical data mining and pattern recognition
Medical Imaging Technology and Applications
Biomedical signal processing and medical information
Topic Three: Intelligent Systems
computational intelligence 
expert system
Fuzzy Sets and Systems
genetic algorithm
Induction and Transduction Reasoning
Intelligent behavior
intelligent control
Intelligent data analysis
Intelligent data mining
Intelligent fault diagnosis and intelligent measurement
intelligent network 
Intelligent security system
Intelligent signal processing
machine learning
natural language processing
Biology and Parallel Implementation of High Performance Computing Systems
image analysis
Inferring from high-throughput experimental data
The Application of Information Technology in Computational Bioengineering
Model integration from biological databases
Multi scale modeling and analysis methods
Pattern recognition, clustering, and classification
Simulation and Modeling
Specific themes and population-based modeling methods
systems biology
Transcriptome
visualization
Web Services in Bioinformatics