Research Interest: Pattern Recognition, Data Science, Machine Learning, Big Data and Biomedical and Healthcare Informatics.

Research Interest: Investigation of gene-nutrient interactions on metabolic- and cardiovascular disease- related outcomes using combined approaches from genetic epidemiology, statistical genetics and molecular biology

Research Interest: Statistical Computation and Applications, Statistical Analysis, Data Mining, Hidden Markov Models, Databases, Signal Processing, Modeling and Simulation.

Research Interest: Biophysics, Biochemistry, Biophysics Of Photosynthesis, Enzyme Kinetics, Biomathematics, Bioinformatics, Physics Of Vision, Photodynamic Therapy, Computational Biochemistry, Mathematical Modeling Of Biological Processes, Bioelectrochemistry, Quantum Physical Phenomena In Biology, Specifically, Mechanism Of Photosynthetic Water Splitting, Migration Of Excitation Energy In Photosynthetic Light Harvesting Complexes, Design Of Artificial Water-Splitting Photocatalyst, Calculation Of Electrostatic Potential On Membrane Proteins, Electron Transfer And Proton Transfer In Proteins, Structure And Function Of Ion Conducting Channels, Physical Chemistry,Spectroscopy,Biophysics,Photochemistry.

Research Interest: The genetic background of thrombosis and haemostasis, Biotechnology, Methods,Bioinformatics, Infectious Diseases, Bioinformatics and Computational, Biology,Hematology,Graphic Design, Cardiovascular System,

Research Interest: Statistics, Statistical Analysis, Data Science,Data Analysis, Optimization,Data Processing and Computer Science, Optimization Methods, Optimization Algorithms,

Research Interest: Biochemistry, Plant Biotechnology, PCR, MolecularBiology,Biotechnology, Bioinformatics, Parasitology, Virology, Microbiology.

Research Interest: Strannik, Strannik Virtual Scanning, Strannik Light Therapy, Autonomic Nervous Systems, Physiological Systems, Mathematical Model, Systems Biology, Neurology, Cognitive Neuroscience, Phenotype, Genotype, Human Brain Project.

Research Interest: Machine Learning, Biomedical big data, Bioinformatics, Data mining, Modeling and Molecular Dynamics, Systems Biology, Structural Genomics, De novo protein design, Structure-Activity relationship (SAR and QSAR), Network biology

Research Interest: Magnetoencephalography (MEG); magnetic source imaging (MSI); pediatric neuroimaging; human brain mapping; electroencephalography (EEG)

Research Interest: BioNanoMedicine, Cancer BioNanotechnology; Bio-Pharmaceutical, Medical Diagnostics,siRNA/microRNA and Biosensors.

Research Interest: Longitudinal data analysis, survival analysis, clinical trials, and mediation analysis

Research Interest: Mathematical and statistical modeling in biomedical and environmental sciences including1hyperbolastic growth models and their applications in medical and environmental systems of di erential equations. History and mathematical modeling of allelopathy. Longitudinal analysis of racial disparities in cancers.

Research Interest:Computational Biology, Systems Biology, Molecular And Cellular Biology, Biochemistry, Cancer, Neurobiology, Publications Mainly Focus On Significant Single Molecular Feedback, Upstream And Downstream, Activated And Inhibited Computational Network Construction And Analysis Between Normal And Disease Tissues. Functions Are Involved In Activating, Inhibiting, Ties, Linking Or Feedback, Etc. Contaning Not Restricting To Cell Cycle, Cancer Development, Immune Response, Nerve Transmission, Invasion, Cell Adhesion, Differentiation, Apoptosis, Cell Death, Cell Maturation, Survival, Cell Growth, Migration, Aging, Cell Motility, Angiogenesis, Vasculogenesis, Proliferation, DNA Replication, Mitosis, Or Their Regualtions, Etc. Intergative Mechanisms Are Put Forward Based On Different-Localization, Inside-Out,Outside-In Or Feedback.

Research Interest: Genome-scale metabolic network; Protein-protein interaction network, 

Xu Liu is currently a tenured full Professor in the School of Statistics and Management at Shanghai University of Finance and Economics. He received Ph.D. in Statistics at Yunnan University in January 2011. Xu was an NSF postdoctoral fellow in the Department of Statistics at Northwestern University during 2011-2013, and in the Department of Statistics and Probablity at Michigan State University during 2013-2016. His current research interests include deep learning and AI, theory and algorithms for high-dimensional data analysis, tensor modelling, and their various applications in bioinformatics. He published more than 20 papers on influential and prestigious academic journals including JASA, Biometrika, JoE, JMLR, Biometrics, Bioinformatics, Statistica Sinica. He is an Associate Editor of the Journal of Statistical Theory and Applications and International Journal of Organizational and Collective Intelligence.

Research Interest:   Generative models; Representation learning; Deep Learning; Transfer learning; High Dimensional Data Analysis;  Nonparametric and Semiparametric Models.

I am  Israr Fatima is a PhD researcher in Bioinformatics at the Center of Bioinformatics, College of Life Sciences, Northwest A&F University, China. My research focuses on computational drug discovery, immunoinformatics, AI-driven molecular design, and multi-omics data integration for therapeutic development. i has over five years of research experience in areas including molecular docking, molecular dynamics simulations, vaccine design, and single-cell RNA-seq analysis. i authored more than 30 peer-reviewed publications in internationally recognized journals and actively contributes to advancing computational approaches for disease modeling and drug discovery.

Research Interest(s): Molecular docking, Molecular dynamics simulations, Vaccine design, and Single-cell RNA-seq analysis

URL of your official website: ‪israr fatima‬ - ‪Google Scholar‬ 

Research Interest: Bioinformatics and Genome Data Analysis, Computational Biology and Biostatistics, Computer Programming In R Language (Biostatistics And Bioinformatics Applications), Expert Use Of Most Bioinformatics Analyses Software.