Shafiullah Soomro

Doctorate (Ph.D.) Application Software, 2018
Department of Computer Science & Engineering,
Chung-Ang University Seoul, South Korea.


Best PhD Graduate in Chung-Ang University.

Teaching various courses at Artificial Intelligence and Computer Science departments.

Member of Research Community and Academic curriculum design at the department of Computer Science and Artificial Intelligence.

Taught 11 undergraduate, 2 MS and one PhD courses in last 4 years.

2 Masters and 1 PhD students on going students.

High Impact Journal Publications.

Mentor of various MS students in Korea and Pakistan.

Undervisning

Teaching Experience:

30th January2022– 31st October 2023
Associate Professor
• Department of Artificial Intelligence, Quaid-e-Awam University of
Engineering Science and Technology Nawabshah Sindh Pakistan.
27th October 2019– 30th January 2022
Assistant Professor
• Department of Artificial Intelligence, Quaid-e-Awam University of
Engineering Science and Technology Nawabshah Sindh Pakistan.
March 2015–October 2017
Teaching Assistant
• Department of Computer Science and Engineering • Chung-Ang
University, Seoul, South Korea.

Courses Taught
• Artificial Intelligence
• Digital Image Processing
3
•
Theory of Programming Language
•
Data Structure and Algorithms
•
Design and Analysis of Algorithms
•
Software Engineering
•
Social Computing
•
Advance Image Processing and Computer Vision (PhD Course)
•
Machine Learning (Masters Course)

Forskning

My essential fields of exploration are Image Processing Computer Vision and Artificial Intelligence (AI). I am keenly interested in issues with medical image segmentation, which can be accomplished in many ways. I have been doing this using several methods starting from manual segmentation. Currently, I am working on an automatic segmentation technique based on machine learning. I have formulated applications in biomedical imaging based on qualitative and quantitative analysis. Therefore, my experimental work combines both hypothetical and useful parts of medical image analysis.
During my Ph.D. I have worked on many projects funded by Different agencies in South Korea. Most of these projects were based on medical image segmentation.
Current Work
Forest Attributes. Machine Learning and Neural Network Innovations
We utilized field data obtained from the Swedish National Forest Inventory (NFI), coupled with area-based metrics derived from the Swedish national airborne laser scanning (ALS). The data originated from the comprehensive permanent sample of the NFI, covering the entire country. This field data encompasses various biophysical parameters collected from survey plots, including stem volume (V) measured in cubic meters per hectare (m³ ha⁻¹), above-ground biomass (AGB) expressed in tons per hectare (ton ha⁻¹), basal area (B) in square meters per hectare (m² ha⁻¹), basal area-weighted mean tree height (H) in meters (m) and basal area-weighted mean stem diameter (Dgv) in centimeters (cm).

My Research Profiule:

https://scholar.google.com/citations?hl=en&user=i79QY20AAAAJ