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Dr. Saman Riaz
( Assistant Professor )
Cell:
051-8432273
Email:
saman.riaz@case.edu.pk
Description:
Dr. Saman Riaz did Ph.D. in Artificial Intelligence and Machine Learning from Xidian University, Xian, China. She was a researcher at the (Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China) research lab of School of Artificial Intelligence of Xidian University, China.
Educational Qualification:
Degree
Specialization
University
Year
PHD
Computer Science and Technology
Xidian University, Xian, China
2019
MS/Mphil
Mathematics
Quaid-i-Azam University, Islamabad, Pakistan
2008
M.Sc
Mathematics
Quaid-i-Azam University, Islamabad, Pakistan
2006
Work Experience:
Designation
From
To
Company
Assistant Professor
2014
Till Now
SS-CASE-IT: Sir Syed CASE Institute of Technology, Islamabad
Senior Lecturer
2010
2014
SS-CASE-IT: Sir Syed CASE Institute of Technology, Islamabad
Lecturer
2009
2010
SS-CASE-IT: Sir Syed CASE Institute of Technology, Islamabad
Research Interest:
Title
Description
Machine Learning, Big Data, Algorithm Design Patterns, Computational Intelligence, Probability and Stochastic, Numerical Analysis
Honors & Awards / Projects:
Year
Awarding Organization
Description
2016
CSC Scholarship
Won Full Bright (A - Category) Scholarship for Ph.D. Studies from Chinese Government Scholarship Council ( 2016-2019)
Memberships:
Organization
Title
From
To
SS-CASE-IT: Sir Syed CASE Institute of Technology, Islamabad
Member, Adventure Club
2008
2013
SS-CASE-IT: Sir Syed CASE Institute of Technology, Islamabad
Member, Disciplinary Committee
2014
2014
Courses Taught:
Title
Basic Mathematics
Calculus (1 & 2)
Differential Geometry
Differential Equations
Partial Differential Equations
Linear Algebra
Computational Mathematics
Probability and statistics
Numerical Analysis
Advance Engineering Mathematics
Stochastic
Advance Analysis of Algorithm
Key Publications (Journals & Books):
S.No.
Key Publications
1
S. Riaz, A. Arshad, and L. Jiao, “A Semi-Supervised CNN with Fuzzy Rough C-Mean for Image Classification," in IEEE Access, 2019. doi: 10.1109/ACCESS.2019.2910406. SCI (Impact Factor = 4.098)
2
A. Arshad, S. Riaz and L. Jiao, "Semi-Supervised Deep Fuzzy C-Mean Clustering for Imbalanced Multi-Class Classification," in IEEE Access, 2019.doi: 10.1109/ACCESS.2019.2901860. SCI (Impact Factor = 4.098)
3
Riaz S, Arshad A, Jiao L. “Fuzzy Rough C-Mean Based Unsupervised CNN Clustering for Large-Scale Image Data”, Applied Sciences, 2018. https://doi.org/10.3390/app8101869. SCI (Impact Factor = 2.217)
4
A. Arshad, S. Riaz, L. Jiao and A. Murthy, "The Empirical study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction," in IEEE Access, 2018. doi: 10.1109/ACCESS.2018.2866082. SCI (Impact Factor = 4.098)
5
S. Riaz, A. Arshad and L. Jiao, "Rough Noise-Filtered Easy Ensemble for Software Fault Prediction," in IEEE Access, 2018. doi: 10.1109/ACCESS.2018.2865383. SCI (Impact Factor = 4.098)
6
A. Arshad, S. Riaz, L. Jiao and A. Murthy, "Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction," in IEEE Access, 2018. doi: 10.1109/ACCESS.2018.2835304. SCI (Impact Factor = 4.098)
Key Publications (Conferences & Workshops):
S.No.
Key Publications
1
S. Riaz, A. Arshad and L. Jiao, "Rough-KNN Noise-Filtered Convolutional Neural Network for Image Classification," 3rd International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2018), Xi’an, China 2018. doi: 10.3233/978-1-61499-939-3-265. (Available on EI Compendex)
2
A. Arshad, S. Riaz, L. Jiao and A. Murthy, “A semi-supervised deep fuzzy C-mean clustering for two classes classification,” 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC 2017), Chongqing, China 2017. doi: 10.1109/ITOEC.2017.8122317 (Available on IEEE Xplore)
5/20/2020 4:15:00 PM
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