Dr. Syed Farooq Ali

About Dr. Syed Farooq Ali

Dr. Syed Farooq Ali, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Management and Technology, specializes in the field of Computer Vision, Digital Image Processing, Image & Video Coding, Medical Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

"On the frontiers of Twitter data and sentiment analysis in election prediction: a review."

Feature Based Techniques for a Face Recognition using Supervised Learning Algorithms based on Fixed Monocular Video Camera

Multi-stream Deep Convolution Neural Network with Ensemble Learning for Facial Micro-expression Recognition

Exploiting Deep Visual Geometry Group Architecture for Fall Detection in the Elderly People

Driver Drowsiness Detection with Region-of-Interest Selection Based Spatio-Temporal Deep Convolutional-LSTM

Multi-stream deep neural network for diabetic retinopathy severity classification under a boosting framework

A boosting framework for human posture recognition using spatio-temporal features along with radon transform

A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-term Load Forecasting

Dr. Syed Farooq Ali Information

University

Position

Assistant Professor . PhD (CS) MS Ohio State Uni USA. MS LUMS Lahore

Citations(all)

647

Citations(since 2020)

614

Cited By

160

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Dr. Syed Farooq Ali Skills & Research Interests

Computer Vision

Digital Image Processing

Image & Video Coding

Medical Imaging

Top articles of Dr. Syed Farooq Ali

"On the frontiers of Twitter data and sentiment analysis in election prediction: a review."

2023/8/21

Feature Based Techniques for a Face Recognition using Supervised Learning Algorithms based on Fixed Monocular Video Camera

Innovative Computing Review (ICR) Volume 2 Issue 2

2022/12

Multi-stream Deep Convolution Neural Network with Ensemble Learning for Facial Micro-expression Recognition

IEEE ACCESS

2023/10/16

Exploiting Deep Visual Geometry Group Architecture for Fall Detection in the Elderly People

UMT Artificial Intelligence Review

2023

Driver Drowsiness Detection with Region-of-Interest Selection Based Spatio-Temporal Deep Convolutional-LSTM

2022/12/14

Multi-stream deep neural network for diabetic retinopathy severity classification under a boosting framework

IEEE Access

2022/10/26

A boosting framework for human posture recognition using spatio-temporal features along with radon transform

Multimedia Tools and Applications

2022/8/5

A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-term Load Forecasting

IEEE Access

2022/8/4

Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection

Applied Sciences

2022/6/30

A techno-economic analysis for power generation through wind energy: A case study of Pakistan

Energy Reports

2021/11/1

Wind-to-Hydrogen Production Potential for Selected Sites in Pakistan

IEEE Access

2021/9/29

ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection

MDPI Sensors

2021

How to Learn Dynamic Programming from Scratch?

2021/5/16

Fingerprint matching, spoof and liveness detection: classification and literature review

2021/2

Pose estimation of driver’s head panning based on interpolation and motion vectors under a boosting framework

Applied Sciences

2021/12/7

On the Frontiers Of Rice Grain Analysis, Classification and Quality Grading: A Review

2021/11/23

optNet-50: An Optimized Residual Neural Network Architecture of Deep Learning for Driver's Distraction

2020/11/5

Feature-based optimized deep residual network architecture for diabetic retinopathy detection

2020/11/5

Using Skeleton based Optimized Residual Neural Network Architecture of Deep Learning for Human Fall Detection

2020/11/5

On the frontiers of pose invariant face recognition: A review

Artificial Intelligence Review

2019/7/27

See List of Professors in Dr. Syed Farooq Ali University(University of Management and Technology)

Co-Authors

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