Experience

University of Ottawa

• Canada
• Higher Education
• 700 & Above Employee

• Ph.D. Candidate

  • Jan 2017 - Present

  My PhD thesis is focused on automated analysis of human activities from unconstrained videos using deep learning. More specifically, I am working on real-time spatio-temporal detection of multiple and concurrent human activities in realistic videos (e.g., surveillance camera videos, web videos). The outcome of this research has the potential to drive a number of applications including autonomous driving, intelligent video surveillance, semantic video search, and retail analytics, to name a few. My PhD thesis is focused on automated analysis of human activities from unconstrained videos using deep learning. More specifically, I am working on real-time spatio-temporal detection of multiple and concurrent human activities in realistic videos (e.g., surveillance camera videos, web videos). The outcome of this research has the potential to drive a number of applications including autonomous driving, intelligent video surveillance, semantic video search, and retail analytics, to name a few.



National Research Council Canada / Conseil national de recherches Canada

• Canada
• Research Services
• 700 & Above Employee

• AI Research And Development Intern

  • May 2020 - Apr 2021

  - Performed research and development of deep learning techniques for vegetation detection in UAV imagery for Railway monitoring. Results published in the 7th VEHITS conference. - Designed a data analytics project to estimate the energy consumption and predict the maintenance needs of TTC electric bus fleet using Machine Learning. Also, wrote the corresponding technical project proposal for funding considerations from Transport Canada. - Performed research and development of deep learning techniques for vegetation detection in UAV imagery for Railway monitoring. Results published in the 7th VEHITS conference. - Designed a data analytics project to estimate the energy consumption and predict the maintenance needs of TTC electric bus fleet using Machine Learning. Also, wrote the corresponding technical project proposal for funding considerations from Transport Canada.



University of Manitoba

• Canada
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant, Computer Vision Lab

  • Sep 2014 - Aug 2016

  - Pursued a thesis-based Master's program in Computer Science. - Worked on Image Semantic Segmentation using Convolutional Neural Network (CNN). Results published in ISVC'16. - Worked on Image/Video retrieval problem using deep learning. Results published in CRV'16 and obtained the "Best Computer Vision Paper Award". - Explored different deep learning frameworks including Caffe, Tensorflow, MatconvNet and Theano. - Pursued a thesis-based Master's program in Computer Science. - Worked on Image Semantic Segmentation using Convolutional Neural Network (CNN). Results published in ISVC'16. - Worked on Image/Video retrieval problem using deep learning. Results published in CRV'16 and obtained the "Best Computer Vision Paper Award". - Explored different deep learning frameworks including Caffe, Tensorflow, MatconvNet and Theano.



Two Hat

• Canada
• IT Services and IT Consulting
• 1 - 100 Employee

• Mitacs-Accelerate Graduate Research Assistant

  • Feb 2016 - Jun 2016

  Conducted an independent, stand-alone research project that involved automatic filtering of inappropriate images for kids from social media platforms using deep learning. As part of this project, I designed and developed a Convolutional Neural Network (CNN) model that can automatically tag an image as "inappropriate" for kids (e.g.; images containing knife, gun, syringe, bikini etc.). Conducted an independent, stand-alone research project that involved automatic filtering of inappropriate images for kids from social media platforms using deep learning. As part of this project, I designed and developed a Convolutional Neural Network (CNN) model that can automatically tag an image as "inappropriate" for kids (e.g.; images containing knife, gun, syringe, bikini etc.).



Begum Rokeya Universtiy, Rangpur

• Bangladesh
• Information Technology & Services
• 100 - 200 Employee

• Assistant Professor in Computer Science & Engineering

  • Apr 2009 - Aug 2014

  - As an assistant professor, my key responsibilities involved designing and delivering lectures in the class as well as conducting the labs for undergraduate courses of Computer Science & Engineering. - I was also actively involved with research in Computer Vision and Machine Learning as well as Wireless Sensor Networks. - As an assistant professor, my key responsibilities involved designing and delivering lectures in the class as well as conducting the labs for undergraduate courses of Computer Science & Engineering. - I was also actively involved with research in Computer Vision and Machine Learning as well as Wireless Sensor Networks.



HSBC

• United Kingdom
• Financial Services
• 700 & Above Employee

• Information Technology Officer

  • Nov 2007 - Mar 2009

  - Designing and developing software solutions to transform business needs into IT-managed solutions. - Analyzing and re-engineering existing IT processes and procedures in order to increase efficiency. - Doing market research of new IT initiatives with a view to proposing innovative IT solutions for better business management. - Providing full-fledged and end-to-end IT support. - Designing and developing software solutions to transform business needs into IT-managed solutions. - Analyzing and re-engineering existing IT processes and procedures in order to increase efficiency. - Doing market research of new IT initiatives with a view to proposing innovative IT solutions for better business management. - Providing full-fledged and end-to-end IT support.