I am currently working as Research Assistant as a second year PhD student at Visualization Design Lab, supervised by Prof. Alexander Lex in Kahlert School of Computing and SCI Institute, 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. I am very glad to share the good news, I will be presenting my workshop paper at AccessViz Workshop and a poster in IEEE VIS'24 Conference this fall!
My undergraduate thesis got published last year: "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. 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, Utah and Utah is quite famous for hiking, I tried hiking activities here. For now, I have done the 16.7 mile Grand Canyon hike and 14.2 mile Mt. Timpanogos summit!
Advisor: Prof. Alexander Lex
CGPA: 3.51/4.00
GPA: 5.00/5.00
GPA: 5.00/5.00
Workshop Paper: AccessViz (IEEE VIS'24)
Poster presentation at Conference: IEEE VIS'24 Conference
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.
Journal: Heliyon
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.
Conference: COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)
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.
Conference: COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)
Methods: Pattern Analysis, User Study
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 AnalysisCurrent state: Under Publication Process (Journal: High-Confidence Computing)
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.
During my internship, I was responsible for analyzing user, session, game level, and other activity data related to games.
Dancing is my passion. I began my dance journey with performing in the Inter University Dance Fest BUET in 2018. I dance in a variety of styles, from western to folk to semi-classical. I also took part in the Inter University Dance Fest at Khulna University, and Bangladesh University of Professionals in Bangladesh. I served as the 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.