Profile Details

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Hire Dr. Muhammad Usman Y.

Pakistan

USD 20 /hr

Scientific Researcher with a PhD in Computer Science. Expertise in development,writing and publishing scientific papers.

Profile Summary

Experienced researcher with a demonstrated history of working in the higher education industry. Skilled in Computer Vision, Machine Learning, Machine Vision, Big Data Analytics, Apache Spark, Deep Learning, Hadoop, and Artificial Intelligence (AI). Strong research professional with a Doctor of Philosophy - PhD focused in Computer Science. My core skills are research, scientific editing, science writing, data analysis, and science consulting. My research is focused in the field of Machine Vision, but I have a broad interest in related scientific fields such as Image Processing, Video Processing, Signal Processing and Data Science. I have published high impact articles/conference proceedings (see below) and as both an author and peer-reviewer in computer science journals, I know what works and what does not. I can also take a project from scratch and then move on to initial study design, algorithm development, statistical analysis, and finalizing a report or article. I always make sure that the project is in a very good shape, whether it's in the initial design stages or final editing phase.

Subject Matter Expertise

• ☆ Signal Processing
• ☆ Data Science
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Computer Vision
• ☆ Health Data Analysis
• ☆ Research
• ☆ Literature Search
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Scientific Proofreading & Editing

Services

• Writing
• Research
• Data & AI

Writing Technical Writing

Research Fact Checking, Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Data & AI Statistical Analysis

Work Experience

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.

May 2019 - Present

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.

October 2014 - January 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.

May 2010 - June 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.

February 2008 - April 2009

Education

Ph.D- Computer Science

University of Derby, UK

October 2014 - January 2019

MS- Computer Engineering

Dalarna University, Sweden

September 2010 - June 2012

BS- Computer Engineering

COMSATS University

September 2004 - August 2008

Certifications

• British Machine Vision Summer School

  Swansea University

  June 2016 - Present

• Academic English Skills Training

  University of Derby

  June 2015 - Present

• Postgraduate Research Skills Training

  Dalarna University, Sweden

  June 2012 - Present

Publications

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. p. 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). p. 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). p. 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. p. 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. p. 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. p. 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. p. 18-26.