Ishrat Jahan Eliza

Salt Lake City, UT 84108·

I am currently on my Computer Science Ph.D fellowship as a first year student at Visualization Design Lab, supervised by Prof. Alexander Lex in Kahlert School of Computing, University of Utah. I graduated from Bangladesh University of Engineering and Technology in 2022 with a BSc in Computer Science and Engineering. After my graduation, I worked at IQVIA, a human data science company, as a part of the data science team. Parallel to this, I have a keen interest in Human-Computer Interaction (HCI) research that focuses on accessibility techniques, process-based data analysis and qualitative research techniques.

I conducted my undergraduate thesis in the last year on "eDakterBari - A Human-Centered Solution Enabling Online Medical Consultation for Resource-Constrained Communities in Bangladesh." As part of my undergrad thesis, I worked with Dr. A. B. M. Alim Al Islam, Professor, CSE, BUET, in the field of HCI. In addition, I worked on two Exploratory Data Analysis-based research projects with Dr. Sriram Chellappan, Professor, Department of Computer Science and Engineering, University of South Florida. I aspire to study the social, psychological, and environmental issues that affect the local communities. To view my publications, please visit my Google Scholar profile.

Aside from my academic pursuits, dancing has always been a great passion of mine. I really enjoy exploring new places and getting acquainted with diverse cultures. As I have now moved into Salt lake city in Utah and Utah is quite famous for hiking, I tried to spend this summer weekends with minor hiking activities.


Kahlert School of Computing, University of Utah

Computer Science

Advisor: Prof. Alexander Lex

August 2023 - Current

Bangladesh University of Engineering and Technology

Bachelor of Science
Computer Science and Engineering

CGPA: 3.51/4.00

February 2017 - May 2022

Savar Cantonment Public School and College

Higher Secondary Certificate

GPA: 5.00/5.00


Savar Cantonment Board Girl’s High School

Secondary School Certificate

GPA: 5.00/5.00



eDakterBari: A Human-Centered Solution Enabling Online Medical Consultation and Information Dissemination for Resource-Constrained Communities in Bangladesh

Authors: Ishrat Jahan Eliza, Mobashwira Akter Urmi, Mobasshira Akter Urmi, M.D. Tousif Tanjim Anan, Tanveer Hossain Munim, Fattah-Zul-Ikram Galib A. B. M. Alim Al Islam

eDakterBari is a platform for providing health services to orphans, a community in Bangladesh with limited resources. The orphans in orphanages and the administrators of orphanages, and the respectable doctors are our primary users. We are concentrating on the service intermediation to provide healthcare through the suitable intermediaries for the orphans and developing interactive systems according to the user requirements. To do so, we have surveyed orphanages in different areas of Dhaka city and gathered information about the availability of healthcare services in the orphanages. Later, we deployed our eDakterBari to the orphanages with the help of intermediaries who are closely conected to the orphans in the orphanages.

Methods: Qualitative Survey Analysis via Semi-structured interviews, Interactive software development

Journal: Heliyon

Note: CORONOSIS: Corona Prognosis via a Global Lens to Enable Efficient Policy-making Both at Global and Local Levels

Authors: Ishrat Jahan Eliza, Md Hasibul Husain Hisham, Mohammad Nuwaisir Rahman, Ajwad Akil, Abir Mohammad Turza, Fahim Morshed, Nazmus Sakib, Sriram Chellappan, A. B. M. Alim Al Islam

Coronavirus (COVID-19) pandemic has been the defining global health crisis. New policies need to be forged by policy-makers for various sectors such as trading, banking, education, etc., to lessen losses and to heal quickly. For efficient policy-making, in turn, some prerequisites needed are historical trend analysis on the pandemic spread, future forecasting, the correlation between the spread of the disease and various socio-economic and environmental factors, etc. Besides, all of these need to be presented in an integrated manner in real-time to facilitate efficient policy-making. Therefore, in this work, we developed a web-based integrated real-time operational dashboard as a one-stop decision support system for COVID-19. In our study, we conducted a detailed data-driven analysis based on available data from multiple authenticated sources to predict the upcoming consequences of the pandemic through rigorous modeling and statistical analyses. We also explored the correlations between disease spread and diverse socio-economic as well as environmental factors. Furthermore, we presented how the outcomes of our work can facilitate both contemporary and future policy-making.

I contributed to this project by conducting statistical analysis to identify relationships between various environmental, socioeconomic, and COVID-19 variables (death, affected). In addition, the other member of the data analysis team and I performed prediction analysis using the epidemiological model SIR. Later, to make it accessible online, I placed the entire project in the AWS.

Methods: Mathematical Computing, Statistical Analysis

Conference: COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)

Click here to download the paper

Revealing Influences of Socioeconomic Factors over Disease Outbreaks

Authors: S Mahmudul Hasan, Alabi Mehzabin Anisha, Rudaiba Adnin, Ishrat Jahan Eliza, Ishika Tarin, Sadia Afroz, A. B. M. Alim Al Islam

A better disease outbreak analysis and surveillance system can harness state-of-the-art data mining and machine learning techniques to produce better forecasting. In this regard, understanding the correlation between disease outbreaks and socioeconomic factors should pave the way for such systems by providing useful indicators. Therefore, in this study, we accumulated data on 72 infectious diseases and their outbreaks all over the globe over a period of 23 years as well as corresponding different socioeconomic data. We, then, performed point-biserial and spearman correlation analysis over the collected data. Our analysis of the obtained correlations demonstrates that various disease outbreak attributes are positively and negatively correlated with different socioeconomic indicators. For example, indicators such as lifetime risk of maternal death, adolescent fertility rate, etc., are positively correlated, while indicators such as life expectancy at birth, measles immunization, etc., are negatively correlated, with disease outbreaks that affect the digestive organ system. In this paper, we find and summarize the correlations between 126 outbreak attributes derived from the characteristics of the 72 diseases in consideration and 192 socioeconomic factors.which is a novel contribution to the field of disease outbreak analysis and prediction.

I contributed to the research by performing large-scale point-biserial and correlation analysis on the accumulated data to quantify the strength and nature of relationships between two disease outbreak attributes and various socioeconomic indicators.

Methods: Exploratory Data Analysis

Conference: COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)

Click here to download the paper


Enhancing Accessibility in Scientific Visualizations for Individuals with Visual Impairments

Collaborators: Alexander Lex

Methods: Pattern Analysis, User Study
Tools: Python

Current state: Under Progress (Targeted Conference: IEEE VIZ)

Perspectives Dissection for COVID-19 Pandemic

Collaborators: Rudaiba Adnin, Ishika Tarin, Sadia Afroz, Sriram Chellappan, A. B. M Alim Al Islam

It is a user study to analyze the COVID-19 viewpoints of individuals in Bangladesh, India, and the United States, three of the major affected nations. We conduct a comparative analysis of the responses with the goal of identifying any potential sociocultural variances between the perspectives and experiences of the residents of those three nations. Our study found correlations among the perspectives and experiences of the pandemic.

Methods: Semi-structured interviews, Exploratory Data Analysis

Current state: Under Review (Journal: World Development)

Investigation on Changes in COVID-19 Sentiments over Social Media

The details of individual feelings and how they change on social media before and during the epidemic are explored in our study. We thoroughly investigate the currently available libraries and their potential combinations in order to create a method that is more efficient than the frequently inadequate out-of-the-box sentiment-analyzing libraries for text posts for analyzing sentiments in Twitter text posts relevant to the pandemic. In addition to word posts, we also undertake a longitudinal bimodal exploratory data analysis utilizing image postings.

Methods: Sentiment Analysis, Bimodal Correlation

Current state: Under Review (Journal: Technological Forecasting and Social Change)

WORK Experience

Software Developer


Together with the Data Science team, I am developing a number of potential algorithms that may be used to estimate the market potential for the medical products produced by international organizations. The goal is to assist the clients in implementing cutting-edge therapeutic approaches for the creation and marketing of medications. In order to achieve modularity and match the service to the demands of the customer, it is part of my responsibility to find solutions to a variety of issues. I also develop unit test cases in Python to test the potential algorithms that are now running in the backend service.

June 2022 - July 2023

Data Analyst Intern

Free Pixel Games Ltd.

During my internship, I was responsible for analyzing user, session, game level, and other activity data related to games.

December 2020 - January 2021


Programming Languages
Programming Frameworks
  • Git
  • Linux
  • Shell (Bash)
  • Latex
  • Tableau
  • Figma

Personal Interests


I absolutely love dancing. During my university years, I began my dance journey with Inter University Dance Fest. I dance in a variety of styles, from western to folk to semi-classical. Later, I took part in the Inter University Dance Fest at Khulna University, and Bangladesh University of Professionals. I held the position of President of the BUET Dance Club during my final year of undergrad. Some of my dance performances can be found in this link.


My wanderlust soul always yearns to go to new places. I put on my travel stuff and begin checking into the locations on my bucket list whenever I have a few free days amidst my busy days. My love of exploring has taken me to highlands, roaring waterfalls, and beaches.


Click here to download my full CV.