Personal information

Deep Learning, Time Series Analysis, Traffic Speed Prediction, Large Language Models (LLMs)
Pakistan

Biography

Adnan Riaz is working as a lecturer in Department of Creative Technologies, Faculty of Computing and Artificial Intelligence, Air University, PAF Complex, E-9, Islamabad, Pakistan. He received the B.S. degree in Software Engineering from department of Computer Science, COMSATS University Islamabad, Pakistan former(COMSATS Institute of Information Technology) in 2017 and MS degree in Computer Science and Technology from Dalian University of Technology China. He is currently pursuing PhD in Computer Science and Engineering from University of Bologna, Italy. His research interests include deep learning, Transfer Learning, Traffic Speed Prediction, Time Series Analysis, Mining Software Repository, Large Language Models(LLMs), Code Generation and big data bioinformatics.

Activities

Employment (1)

Air University : Islamabad, Islamabad, PK

2021-08-23 to present | Lecturer (Department of Creative Technologies)
Employment
Source: Self-asserted source
Adnan Riaz

Education and qualifications (3)

University of Bologna: Bologna, IT

2022-11-01 to present | Computer Science and Engineering (Computer Science and Engineering)
Education
Source: Self-asserted source
Adnan Riaz

Dalian University of Technology: Dalian, Liaoning, CN

2017-09-01 to 2020-07-15 | Master of Computer Science and Technology (School of Computer Science and Technology)
Qualification
Source: Self-asserted source
Adnan Riaz

COMSATS University Islamabad: Islamabad, PK

2013-09-01 to 2017-06-30 | Software Enginerring (Computer science )
Education
Source: Self-asserted source
Adnan Riaz

Works (9)

SevPredict: Exploring the Potential of Large Language Models in Software Maintenance

AI
2024-12-05 | Journal article
Contributors: Muhammad Ali Arshad; Adnan Riaz; Rubia Fatima; Affan Yasin
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Augmentation of Deep Learning Models for Multistep Traffic Speed Prediction

Applied Sciences
2022-09-27 | Journal article
Part of ISSN: 2076-3417
Contributors: Adnan Riaz
Source: Self-asserted source
Adnan Riaz

A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques

Computational Intelligence and Neuroscience
2022-09-14 | Journal article
Contributors: Rubia Fatima; Naila Samad Shaikh; Adnan Riaz; Sadique Ahmad; Mohammed A. El-Affendi; Khaled A. Z. Alyamani; Muhammad Nabeel; Javed Ali Khan; Affan Yasin; Rana M. Amir Latif et al.
Source: check_circle
Crossref

Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification

The Journal of Supercomputing
2021-07 | Journal article
Part of ISSN: 0920-8542
Part of ISSN: 1573-0484
Source: Self-asserted source
Adnan Riaz

Fighting Deepfakes Using Body Language Analysis

Forecasting
2021-04-28 | Journal article
Part of ISSN: 2571-9394
Source: Self-asserted source
Adnan Riaz

Deep Learning-Based Resolution Prediction of Software Enhancement Reports

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)
2021-01-27 | Conference paper
Source: Self-asserted source
Adnan Riaz

SBAG: A Hybrid Deep Learning Model for Large Scale Traffic Speed Prediction

International Journal of Advanced Computer Science and Applications
2020 | Journal article
Part of ISSN: 2158-107X
Source: Self-asserted source
Adnan Riaz

Inhibition of 2C Coxsackie B Virus Protein to Decrease Pathogenicity of Diabetes Mellitus Type 1

Current Computer-Aided Drug Design
2020-06-02 | Journal article
Part of ISSN: 1573-4099
Source: Self-asserted source
Adnan Riaz

Cas-GANs: An Approach of Dialogue Policy Learning based on GAN and RL Techniques

2019-07-31 | Journal article
Source: Self-asserted source
Adnan Riaz

Peer review (3 reviews for 2 publications/grants)

Review activity for Neural Processing Letters. (2)
Review activity for The journal of supercomputing. (1)