CV

Education

PhD in Computer Science and Technology

Nanjing University of Science and Technology, China
September 2024 – Ongoing
Research Area: Bioinformatics

MSc in Software Engineering

Northeastern University, China
September 2020 – August 2021 (Online) || November 2022 – July 2024 (Offline)
CGPA: 3.53 out of 4.00
Thesis: Research and Implementation of a Diabetic Disease Identification Algorithm Based on Data Mining

BSc in Computer Science and Engineering

City University, Bangladesh
May 2015 - August 2019
CGPA: 3.74 out of 4.00
Thesis: An Automated Approach for Fruit Damage Detection and Classification using Machine Learning


Work Experience

PhD Researcher

Nanjing University of Science and Technology, China
September 2024 – Present

Graduate Researcher

Northeastern University, China
December 2022 – July 2024

Junior Software Developer

Syftet Limited, Bangladesh
September 2021 – November 2022

ICT Lecturer

Exceptional Educare, Bangladesh
October 2017 – August 2019 (Part-time) || August 2019 – September 2020 (Full-time)


Skills


Publications

Published Works

  1. Suicidal Behaviors Among High School Graduates with Preexisting Mental Health Problems: A Machine Learning and GIS-Based Study.
    International Journal of Social Psychiatry (2024)

  2. Exploring Sleep Duration and Insomnia Among Prospective University Students: A Study with Geographical Data and Machine Learning Techniques.
    Nature and Science of Sleep (2024)

  3. Prevalence and Factors Associated with Digital Addiction Among Students Taking University Entrance Tests: A GIS-Based Study.
    BMC Psychiatry (2024)

  4. Applications of Artificial Intelligence for Health Informatics: A Systematic Review.
    Journal of Artificial Intelligence for Medical Sciences (2023)

  5. Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
    Journal of Healthcare Informatics Research (2022)

  6. Smart Security Device for Women Based on IoT Using Raspberry Pi.
    In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2021.

Working Papers

  1. Predicting Substance Use Behaviors Among Students Taking University Entrance: A Cross-Sectional Study with Machine Learning Techniques. (Submitted in PLOS ONE)

  2. Predicting Suicidal Behaviors in Individuals with Diabetes: An Exploratory Study Using Machine Learning Models. (Under review on Perspectives in Psychiatric Care)

  3. AgroSathi: A Novel System for Detecting and Diagnosing Insect Pests for Field Crops. (Working on final version)

  4. Exploring the Potential of Comprehensive Deep Dense Layer Neural Networks for Diabetes Prediction: A Performance Study. (Master’s thesis working for publication)


Talks


Teaching Experience


Service and Leadership


For further details or inquiries, please feel free to contact me via email at writetoemran@outlook.com.