- Scalable Multiple Instance Learning (MIL): Developed scalable and interpretable Multiple Instance Learning (MIL) algorithms in Python for critical predictive analyses in large-scale data i.e., predicting diseases from genomic and healthcare datasets.- Interpretable Deep Learning Models: Developed attention-based deep Convolutional Neural Network (CNN) and regression-model in Python capable of interpreting the prediction results i.e. groups of DNA sequences likely to be correlated to… Show more - Scalable Multiple Instance Learning (MIL): Developed scalable and interpretable Multiple Instance Learning (MIL) algorithms in Python for critical predictive analyses in large-scale data i.e., predicting diseases from genomic and healthcare datasets.- Interpretable Deep Learning Models: Developed attention-based deep Convolutional Neural Network (CNN) and regression-model in Python capable of interpreting the prediction results i.e. groups of DNA sequences likely to be correlated to the diseases.- Efficient Clustering: Developed an ultra-fast clustering method utilizing hashing, canopy clustering algorithm and multi-core CPU’s to gain speed while maintaining the cluster correctness.- Parallel Hashing Using MapReduce in Apache Spark: Utilized the MapReduce model to reduce data-dimensions in parallel using the Locality Sensitive Hash (LSH). Show less

- Teaching Programming: Taught the undergrad students in Computer Science the introductory programming in Python and object oriented programming in Java.

- Predicting Population Variations: Developed a cluster-based data-representation combined with a deep Convolutional Neural Network (CNN) to predict human population and ethnicity from the 1000 genome project, a large public catalog of human variations and genotype data. Used Python for the implementation.

- Teaching Data Structures and System Analysis: Taught the undergrad students in Computer Science the fundamentals of Data Structures, System Analysis and Design with UML diagrams and project management in agile developments.

- Teaching System Analysis and Pattern Recognition: Taught undergrad students System Analysis and Design. Conducted the lab for the Pattern Recognition course in MATLAB.