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Objective

Education

• Ph.D. in Computer Science
• Cumulative GPA: 3.81 / 4.00

• B.Sc. in Computer Science and Engineering
• Cumulative GPA: 3.85 / 4.00
• Class position: 12^th (among 138 students)

PhD projects

• In this project, a deep learning based tool is modeled for predicting polyadenylation sites from sequence data. The tool detects polyadenylation sites not only in coding region but also in noncoding and intergenic regions. In addition, the tool predicts tissue specific polyadenylation sites. Moreover, when multiple polyadenylation sites of a gene are given, it detects relatively strong polyadenylation site.
• Status: Ongoing and will be submitted in Bioinformatics or Nucleic Acids Research (NAR).

• In this project, a new tool has been proposed for detecting novel alternative polyadenylation (APA) sites from RNA-Seq data. It can deal with more than two APA sites in a gene. After detecting novel APA sites, the tool identifies differentially expressed APA sites between two biological samples. It also identifies shortening/lengthening events in 3' untranslated regions of genes
• Status: Accepted by Bioinformatics.

Work Experience

• Designing and Developing Health Insurance Portability and Accountability Act (HIPAA) compliant documentation software solution for development disabilities support providers in United States of America.

Professional Projects

• Using this module employment specialists can maintain a directory of employers and the jobs they offer. It allows user to find jobs that matches the skills and the need of the individuals. It also helps the user to keep track of all employment referrals, assessments, milestones, and manage the training and coaching requirements of the individuals.

• The Individual Support Plan and its components were built to meet the requirements of Therap's contract with the state of Nebraska, USA. The full life-cycle of yearly plan building for persons with developmental disabilities is being done using this module. This life cycle has several steps: collecting health, family and financial information for assessment and identification of needs and limitations, transforming these information into meeting agenda items, building a support plan based on the meeting outcomes and tracking collected data against programs.

• This module is designed to be used by agencies/service providers. These agencies/service providers support people who need timely monitoring. The tool was developed as a part of the "Individual Support" package of the Therap Application suite.

• Issue tracker module is an online platform for the Therap users to communicate with the live support provider of the company. Both the users and the live support persons can track the status of these issues using this module.

Academic Projects

• Neural network algorithm is implemented for digit recognition (Matlab). Performance comparison is done by changing parameters: number of node per layer, number of layers etc. The performance of the neural network model is also compared with SVM for the given data.

• Suffix tree algorithm is implemented to search short reads in reference genome (Java).

• Weather station data is analyzed to output some stats and to find the most stable temperatured state (Hadoop and Java).

• Basic blocks and edges profiling for a computer program. Loop iteration count is also done for the given program.

Awards and Scholarships

• Dean’s Distinguished Fellowship, Department of Computer Science, UCR.
• Talent Scholarship, Department of Computer Science and Engineering, BUET.
• General Scholarship, Department of Computer Science and Engineering, BUET.
• Dean’s list, Department of Computer Science and Engineering, BUET (four years).
• Scholarship for good results in Higher Secondary School Certificate and Secondary School Certificate exams in Bangladesh.

• Department of Computer Science and Engineering, UC Riverside
• Website
• Email: jiang@cs.ucr.edu

• Department of Computer Science and Engineering, UC Riverside
• Website
• Email: stelo@cs.ucr.edu