TRAINNING in MATH & CS

Postgraduate
Bachelor'e degree

TEACHING EXPERIENCES

Data Mining
Logic programming in Prolog language
Mathematical Analysis


SKILLS in ARTIFICIAL INTELLIGENCE

Pattern Recognition

Image Understanding, Data Mining, Artificial Neural Networks, Feature Extraction, Fuzzy Logics, Decision Trees, Genetic Algorithms, Case-Based Reasoning, Reinforcement Learning, Clustering.

Mathematical Modeling and Optimization

Finite Element Modeling from 2D and 3D X-ray and MRI Biomedical images, Computer Simulation.

Computer Programming Languages

C, Java, JavaScript, HTML, SQL, HiveQL, Python, Matlab, Perl, Prolog, R

Computer Programming Integrated Development Environment (IDE)

Eclipse, NetBeans, PyCharm, Microsoft Visual Studio, Matlab Comsol Multiphysics, Android Studio, Dreamweaver

Computer Programing Frameworks and Libraries

Java Spring Boot, Python Django, Ambari, Spark, Hadoop, JQuery, OpenCV, Point Cloud Library (PCL), OpenGL, CUDA, Tensorflow.


COMPUTATIONAL BIOLOGY and BIOINFORMATICS

ChIP-seq data analysis, DNA binding motif enrichement analysis

Single cell transcriptome analysis (SmartSeq2, 10X genomics)

Bulk sample cDNA microArray and RNA-seq transcriptome analysis

microRNA, lncRNA, protein-protein interaction network analysis

Pathway and Gene Regulatory Network analysis



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Last updated April 2019