Hi,

I'm Taoseef


Graduate Student at Carleton University

Full-stack Software Engineer
Computer Vision, Machine Learning, and Data Mining Researcher
Team Guy


About Me


I pursued my B.S. in Computer Science and Engineering from the passion of exploring this field. With this aim, I have the focus to engage in core software development, and contribute to academic-industrial research that would make the lives of common people better. I am more fond of learning and working in the domains of Algorithms, Computer Vision, Machine Learning, and Data Mining related developments. Also, I have a keen interest in applying software engineering and HCI techniques to build efficient applications. I wish to contribute to the country’s economy with my skills and build applications that can positively affect human lives in society.

  •   Current Position and Workplace :
    Graduate Research Assistant at Artificial Intelligence and Machine Learning Lab, Institute of Data Science, School of Computer Science, Carleton University
    Former Position and Workplace :
    Lab Instructor and Full-Stack Software Engineer
    Department of Electrical and Computer Engineering,
    North South University
  •   Email :
    taoseefishtiak@cmail.carleton.ca

Profile Links


Showcase


  • North South University
    Lab Instrcutor
    From Jan, 2020
    Mar, 2021
  • North South University
    Research Assistant and Full-Stack Software Engineer
    From Dec, 2017
    Aug, 2021
  • North South University
    Teaching Assistant
    From Apr, 2019
    To Dec, 2019
  • Doctorbaari.com
    Front-End Developer
    From Mar, 2017
    To Nov, 2018

Working with !!


Python JavaScript Object-oriented PHP Java

Frameworks


Node.js with Express Laravel Angular

Research Interest


Computer Vision Statistical Machine Learning Data Mining

Publication


Tasmin, M., Ruman, S. U., Ishtiak, T., Suhan, A. U. R. C., Hasif, R., Zulminan, S., & Rahman, R. M. (2022). Assessment of Deep Learning Models for Human Activity Recognition on Multi-variate Time Series Data and Non-targeted Adversarial Attack. In Advances in Intelligent Systems Research and Innovation (pp. 129-159). Springer, Cham.
Tasmin, M., Ishtiak, T., Ruman, S. U., Suhan, A. U. R. C., Islam, N. S., Jahan, S., ... & Rahman, R. M. (2020, August). Comparative Study of Classifiers on Human Activity Recognition by Different Feature Engineering Techniques. In 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 93-101). IEEE.
Jakariya, M., Alam, M. S., Rahman, M. A., Ahmed, S., Elahi, M. L., Khan, A. M. S., ... & Ali, M. S. (2020). Assessing climate-induced agricultural vulnerable coastal communities of Bangladesh using machine learning techniques. Science of The Total Environment, 140255.
S. Rezwan et al., "A Minimalist Model of IoT based Sensor System for Sewage Treatment Plant Monitoring“, 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 2019, pp. 0939-0945. doi: 10.1109/IEMCON.2019.8936182
T. Ishtiak, S. Ahmed, M.H. Anila, S. Islam, R. Shelim, T. Farah, “Road state classification of Bangladesh with convolutional neural network approach”, (2019) WMSCI 2019 - 23rd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings, 4, pp. 129-134
S. Ahmed, T. Ishtiak, A. U. R. C Suhan, M.H. Anila, T. Farah, “Road state classification of Bangladesh with convolutional neural network approach”, (2019) Journal of Systemics, Cybernetics and Informatics: JSCI, Volume 17 - Number 4 (extended version for journal publication)
T. Ishtiak, S. Ahmed, M. H. Anila and T. Farah, "A Convolutional Neural Network Approach for Road Anomalies Detection in Bangladesh with Image Thresholding“, 2019 Third World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), London, United Kingdom, 2019, pp. 376-382. doi: 10.1109/WorldS4.2019.8903936
T. Ishtiak, R. M. Orpon, N. Mashnoor, M. Ahmed and M. A. Nazim, "An advanced application to decrease household power consumption and save energy detecting the weather condition," 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, 2017, pp. 622-627. doi: 10.1109/IEMCON.2017.8117168