Hamid Ashfaq
-
Lecturer
- hamid.ashfaq@case.edu.pk
Lecturer at Sir Syed CASE Institute of Technology. This profile contains relevant information about the faculty member. For any queries or further information, please feel free to reach out using the contact details provided above. The department is committed to supporting students and visitors with their questions and academic needs.
Mr. Hamid Ashfaq is working as a Lecturer in the Computer Science department at Sir Syed CASE Institute of Technology. He did MS (Artificial Intelligence) from Air University, Islamabad in 2023.
His area of interest are Computer Vision, 3D Reconstruction, Artificial Intelligence, Digital Twin, Deep Learning, Digital Image Processing and Application Development.
Website: https://sites.google.com/view/hamidashfaq
Degree
Specialization
University
Year
MS (AI)
Computer Vision, 3D
Air Univeristy Islamabad
2023
BSCS
CS
Hitech University, Taxila
2017
Designation
Company
From
To
Lecturer
Sir Syed CASE Institute of Technology, Islamabad
2023
Till Now
Lab Engineer
Sir Syed CASE Institute of Technology, Islamabad
2021
2023
Software Developer
Mechatronix
2020
2021
Visiting Faculty
Allama Iqbal Open University (AIOU)
2017
2020
QMS Intern (AM QMS)
Pakistan Telecommunication Limited (PTCL)
2017
2018
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Courses Taught
- Data Structure And Algorithm
- Digital Image Processing
- Visual Programming
- Operating System
- Artificial Neural Network
- Object Oriented Programming
- Compiler Construction
- Smart Application Development
- Computer Vision
Key Publications (Journals & Books)
[J1] S. A. Chelloug, H. Ashfaq et al., “Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education,” Comput. Mater. Contin., vol. 74, no. 1, pp. 1607-1624, 2023. https://doi.org/10.32604/cmc.2023.032245.
[J2] H. Ashfaq et al., “3D point cloud generation to understand real object structure via graph convolutional networks,” Trait. Du Signal, vol. 41, no. 6, pp. 2935–2946, 2024. https://doi.org/10.18280/ts.410613.
Key Publications (Conferences & Workshops)
[C1] H. Ashfaq and A. Jalal, "GCN-Based Objects Understanding with 2D to 3D Point Cloud Reconstruction," 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Bhurban, Murree, Pakistan, 2023, pp. 7-12, doi: 10.1109/IBCAST59916.2023.10712925.
[C2] H. Ashfaq and A. Jalal, "Deep Learning-based 3D Reconstructed Objects via Generative Models and Octree Structure," 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Bhurban, Murree, Pakistan, 2023, pp. 238-243, doi: 10.1109/IBCAST59916.2023.10712837.
[C3] H. Ashfaq and A. Jalal, "3D Shape Estimation from RGB Data Using 2.5D Features and Deep Learning," 2023 4th International Conference on Advancements in Computational Sciences (ICACS), Lahore, Pakistan, 2023, pp. 1-7, doi: 10.1109/ICACS55311.2023.10089663