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プロフィール詳細
Dr. Muhammad Usman Y.に依頼
Pakistan
Scientific Researcher with a PhD in Computer Science. Expertise in development,writing and publishing scientific papers.
プロフィール概要
専門分野
サービス
職務経験
Comsats University
Researcher- I am currently working with Comsats University. I am involved in a number of teaching and research activities including development and delivery of materials as well as submission of scientific research papers and funding proposals.
5月 2019 - 現在
University of Derby, UK
Research Associate- I worked with University of Derby under a European Regional Development Funded project. I was responsible for carrying out research and development based projects for a number of companies present at Derby including DevTank, Fishbone and HubAutoID.
10月 2014 - 1月 2019
Dalarna University, Sweden
Research Student- I worked on various research activities, I proposed and developed a novel computer method for the Classification of cause of impairment in spiral drawings. This computer method aimed to classify bradykinesia and dyskinesia in to two distinct classes.
5月 2010 - 6月 2014
Sadat Hyder Morshed Associates
Software Developer- I developed a toolkit for British petroleum using VB 6 and VB.net. I was also responsible for the maintenance of Linux based web servers and their control panels.
2月 2008 - 4月 2009
学歴
Ph.D- Computer Science
University of Derby, UK
10月 2014 - 1月 2019
MS- Computer Engineering
Dalarna University, Sweden
9月 2010 - 6月 2012
BS- Computer Engineering
COMSATS University
9月 2004 - 8月 2008
認定資格
出版物
JOURNAL ARTICLE
Muhammad Usman Yaseen and Ashiq Anjum and Giancarlo Fortino and Antonio Liotta and Amir Hussain(2021). Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks . Pattern Recognition. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 108207. Elsevier {BV}
Yaseen, M.U., Anjum, A., Farid, M., Antonopoulos, N.(2019). Cloud-based video analytics using convolutional neural networks . Software - Practice and Experience. 49. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 565-583.
Yaseen, M.U., Anjum, A., Rana, O., Antonopoulos, N.(2019). Deep learning hyper-parameter optimization for video analytics in clouds . IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 253-264.
Yaseen, M.U., Anjum, A., Rana, O., Hill, R.(2018). Cloud-based scalable object detection and classification in video streams . Future Generation Computer Systems. 80. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 286-298.
(2010). Estimating the Effects of Jammers via Conservation of Flow in Wireless AdHoc Networks.
CONFERENCE PAPER
(2018). Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics . 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC).
Yaseen, M.U., Anjum, A., Antonopoulos, N.(2017). Modeling and analysis of a deep learning pipeline for cloud based video analytics . BDCAT 2017 - Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 121-130.
Yaseen, M.U., Zafar, M.S., Anjum, A., Hill, R.(2016). High performance video processing in cloud data centres . Proceedings - 2016 IEEE Symposium on Service-Oriented System Engineering, SOSE 2016. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 180-189.
Yaseen, M.U., Anjum, A., Antonopoulos, N.(2016). Spatial frequency based video stream analysis for object classification and recognition in clouds . Proceedings - 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 18-26.