Hello, It's Me

Dr. M. Usman Ghani Khan

Chairman and Professor, Department of Computer Science University of Engineering & Technology, Lahore

I have over 21 years of Research Experience
in
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About Me

250 +

Publications

50 +

Research Grants

40 +

Foreign Experties

500 +

Trained Professors

I have over 21 years of Research Experience in

I am the Chairman of the Computer Science Department at UET Lahore and the Director of the Intelligent Criminology Research Lab under the National Center of Artificial Intelligence at the Al-Khwarizmi Institute of Computer Science (KICS), UET.

I have founded and directed five research labs at KICS, UET Lahore, including the Computer Vision & Machine Learning Lab, Bioinformatics Lab, Virtual Reality & Gaming Lab, Data Science Lab, and Software Systems Research Lab. As a dedicated staff and mentor, I specialize in subjects related to Artificial Intelligence, Machine Learning, and Deep Learning. I have also recorded freely available video lectures on YouTube for courses in Bioinformatics, Image Processing, Data Mining & Data Science, and Computer Programming.

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Citations per year

Citations: 4943

h-index: 35

i10-index: 105

Tool & Languages

C Language
100%
C Language
C++ Language
100%
C++ Language
C Sharp
100%
C Sharp
Java Language
100%
Java Language
JavaScript
100%
JavaScript
Python
100%
Python
HTML 5
100%
HTML 5
CSS 3
100%
CSS 3
Bootstrap
100%
Bootstrap
React
100%
React
Qt
100%
Qt
Microsoft SQL Server
100%
Microsoft SQL Server
SQLite
100%
SQLite
Oracle
100%
Oracle
MySQL
100%
MySQL
MongoDB
100%
MongoDB
PostgreeSQL
100%
PostgreeSQL
Firebase
100%
Firebase
Heroku
100%
Heroku
Amazon Web Services
100%
Amazon Web Services
Docker
100%
Docker
Google Cloud
100%
Google Cloud
Mircosoft Azure
100%
Mircosoft Azure
Django
100%
Django
Pocoo Flask
100%
Pocoo Flask
MATLAB
100%
MATLAB
Postman
100%
Postman
Adobe Photoshop
100%
Adobe Photoshop
Scikit-Learn
100%
Scikit-Learn
seaborn
100%
seaborn
OpenCV
100%
OpenCV
Pandas
100%
Pandas
Pytorch
100%
Pytorch
TensorFlow
100%
TensorFlow
GitSCM
100%
GitSCM
Linux
100%
Linux

Top 10 Research Papers

1

A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks

2

A realistic image generation of face from text description using the fully trained generative adversarial networks

3

Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)

4

Deep unified model for face recognition based on convolution neural network and edge computing

5

Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation

6

Computer-assisted brain tumor type discrimination using magnetic resonance imaging features

7

Soft computing-based EEG classification by optimal feature selection and neural networks

8

Technologies and challenges in developing Machine-to-Machine applications: A survey

9

Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM

10

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification

Research Papers

Cross-lingual transfer learning approaches by using pre-trained BERT models
A Multi-Genre Urdu Broadcast Speech Recognition System
Understanding and accurate information retrieval through search engines and task-oriented dialogue systems
Bidirectional Encoder Representation from Transformers (BERT)
My adventures from around the world
Experimental evaluation reveal that the fine-tuned models of mBERT and roBERTa-urdu
Intent Detection in Urdu Queries using Fine-tuned BERT models

Our Staff

M Nauman Hanif Team Lead of IDL Lab
Javeria Khan Team Lead of BRL Lab
Umar Daraaz Lodhi Team Lead of CVML Lab
Dr. Usman Ghani Khan Director