Dr. Muhammad Imran Farid

CONTACT INFORMATION

Address: H#1, Lane#13, Sector E, DHA-2, Islamabad, Pakistan.      

Mobile: +92-(0) 3327788566  

Email: imran@au.edu.pk  or   drimranfarid.au@gmail.com

Status: HEC approved supervisor

CAREER SUMMARY

Date                                                                         Company                                                                                                Role

Feb 2016 - Present                                           Air University                                                                                      Assistant Professor

Sep 2010 - Aug 2011                                       Air University                                                                                      Lecturer

Apr 2009 - Jun 2010                                         Palmchip Ltd                                                                                       Senior SW Engineer (Contracted)

Sep 2008 – Mar 2009                                       COMSATS Institute of Information Technology           Research Engineer (Temporary)

Mar 2006 – Dec 2007                                       Path Intelligence Ltd                                                                      Radio Systems Assistant Engineer

Apr 2002 – Sep 2004                                         Pakistan Atomic Energy Commission                                  Scientific Officer

May 2001 – Mar 2002                                      Trust for Application of Scientific knowledge                 Research Officer

May 1999 – Mar 2001                                      Time & Tune                                                                                        Programmer 

EDUCATION

PhD       Sep 11 – Jan 16     Northwestern Polytechnical University, Xian, China. 

              (Information and Communication Engineering)  

Final thesis: Spatial and Spectral Information based Hyperspectral Image Classification. This thesis is about classification of high resolution hyperspectral images using spatial and spectral information. Hyperspectral images can be acquired from airborne or space-borne platforms, and can be used for the identification of different materials on ground as well as achieving the geometrical properties of different objects like buildings, water, roads, agriculture fields, shadows etc. This thesis focuses on the hyperspectral image (HSI) classification, which is the basis for most of the applications related to environmental monitoring and target detection.  In this thesis, some novel spatial-spectral classification approaches are proposed, which can automatically extract the useful information from hyperspectral images for different applications. Furthermore, limited availability of training samples and observed noise are common problems that many scientists encounter in practical remote sensing (RS), which are also concerned in the newly proposed classification approaches.


MSc       Oct 04 – Sep 05     University of Southampton, UK. 

              (Radio Frequency, Mobile & Sonar Communications)   (1st Div.)

Majors: MSc in Radio Frequency Communication Systems.

(Relevant subjects: Signal Processing, Sonar Systems Engineering, Digital Transmission, Cryptography and Data Compression, Mobile Radio Comm. Engineering, Radio Comm. Networks and Systems)

(Major Projects in MSc: Huffman and LZW compression and decompression in C Language. 16QAM Transceiver Design.

Final thesis: Directional finding in broadband sonar. In my thesis I simulate Narrow and Broadband Adaptive Beamforming algorithm for Sonar in MATLAB using different arrays. I did the comparison between narrow and broadband techniques and finally choose the best array for the sonar, which can detect the directional signal reception better than the other arrays in the presence of the noise. The technique can be applied to many communication systems like radar and mobile for best reception of signal quality.)

 

MSc        Feb 99 – Jan 01     Quaid-i-Azam University, Islamabad, Pakistan.   

              (Electronics Engineering)    (3.1)

(Relevant subjects: Applied Mathematics, Digital Logic Design, Electronics (I, II), Communication Theory, Programming Language-C, Computer Architecture, Microprocessor Based System Design, Control Systems, Software Engineering.)

BSc         Aug 96 – Jul 98     University of Punjab, Lahore, Pakistan.

          Mathematics and Physics   (3.1)

 

RESEARCH PAPERS

Journal Articles

[1] M. T. Khan, Muhammad Imran Farid, et al., "Determining the Frequency of Tubal Blockage in Infertility Patients Undergoing X-Rays Hysterosalpingography," Journal of Health and Rehabilitation Research , vol. 4, no. 2, 2024. 

[2] M. Hassan, S. Ali, J. Y. Kim, Muhammad Imran Farid, et al., “Offensive audio content detection model using reduced feature fusion for low resource language,” Multimedia Tools and Applications, 2022 (submitted) .

[3] Z. Ahmad, Muhammad Imran Farid, et al., "Magnetic Resonance Imaging Validates the Clinical Accuracy of the Mcmurray's Test in Diagnosing Medial Meniscal Tears," Pakistan Journal of Medical Health Sciences, vol. 18, no. 1, 2024. 

[4] Muhammad Imran Farid, M. T. Khalil, D. N. Ullah, et al., “Assessment of background parenchymal enhancement at dynamic contrast-enhanced MRI in predicting breast cancer recurrence risk,” Journal of Population Therapeutics and Clinical Pharmacology, vol. 31, no. 3, 2024. 

[5] S. Raza, N. Gul, H. A. Khattak, A.  Rehan, Muhammad Imran Farid, et al., “Brain tumor detection and classification using deep feature fusion and stacking concepts,” Journal of Population Therapeutics and Clinical Pharmacology, vol. 31, no. 1, 2024. 

[6] N. Sharif, N. Farid, M. Iqbal,  M. U. Haq, Muhammad Imran Farid, et al., “Gastric cancer prevention; detection of premalignant gastric lesions and surveillance for early detection of gastric cancer in Pakistan,” Journal of Population Therapeutics and Clinical Pharmacology, vol. 31, no. 3, 2024. 

[7] A. Salam, A. Malik, N. Farid, M. Lali, Muhammad Imran Farid, et al., “Role of ultrasound in the diagnosis of non-alcoholic fatty liver disease (NAFLD),” Pakistan Journal of Medical Health Sciences, vol. 17, no. 12, 2023. 

[8] Safdar Ali, Mehdi Hassan, Jin Yoiung Kim, Muhammad Imran Farid, Muhammad Sanaullah and Hareem Mufti, “FF-PCA-LDA: Intelligent Feature Fusion Based PCA-LDA Classification System for Plant Leaf Diseases”, Applied Sciences, MDPI, vol. 12, no. 7 : 3514, Mar. 2022. (IF: 2.838).

[9] Farid Muhammad Imran, Mingyi He and Yifan Zhang, “Systematic Comparison of Linear Feature Extraction methods for Classification of Hyperspectral Images with Noises”, International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 8, no. 9, pp. 13–20, Sept. 2015. (EI: 20154101346872). 

[10] Farid Muhammad Imran and Mingyi He, “Marker Selection using Skeletonization for very low training sample analysis of hyperspectral image classification”, International Journal of Hybrid Information Technology, vol. 8, no. 9, pp. 43–52, Sept. 2015. (EI: 20154101356229).

[11] Farid Muhammad Imran, “Marker Selection using Support Vector Machine Over-fitting for Very Low Training Sample Analysis of Hyperspectral Image Classification”, International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 8, no. 10, pp. 11–18, Oct. 2015. (EI Indexed). 

[12] Farid Muhammad Imran, “Noise Effects on Feature Mining Non-Parametric Supervised Feature Extraction Techniques”, International Journal of Multimedia and Ubiquitous Engineering, vol. 10, no. 12, pp. 207–216, Dec. 2015. (EI Indexed).


Conference Proceedings

[1] Mingyi He, Farid Muhammad Imran, Baassou Belkacem and Shaohui Mei, “Improving hyperspectral image classification accuracy using iterative SVM with spatial-spectral information”, The 1st IEEE Summit & International Conference on Signal and Information Processing (ChinaSIP), Beijing, China, pp. 471–475, Jul. 2013. (EI: 20135017076763).

[2] Farid Muhammad Imran and Mingyi He, “Extended Morphological Profiles with duality for hyperspectral Image classification”, Proceedings of IEEE WHISPERS, Tokyo, Japan, Jun. 2-5, 2015.

[3] Farid Muhammad Imran and Mingyi He, “SVM Over-fitting Marker Selection Method for Small-Sample Hyperspectral Image Classification”, Presented at Chinese WHISPERS 2015, Xi’an, pp. 126–131, Sept. 2015.

[4] Baassou Belkacem, Mingyi He, Farid Muhammad Imran and Shaohui Mei, “Hyperspectral image classification based on iterative Support vector machine by integrating spatial-spectral information”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Australia, pp. 1023–1026, Jul. 2013, (EI: 20140917388472).

WORK EXPERIENCE

A total of seven years experience in the field of Research and Development and eleven years in the field of Teaching.

02/16 – Present   Air University, Sector E-9, PAF Complex, Islamabad, Pakistan.  

Assistant Professor 

Job responsibilities 

Advanced Neural Network (Deep Learning). Contents: What is deep learning? The mathematical building blocks of neural networks, Introduction to Keras and      TensorFlow, Getting started with neural networks: classification and regression, Fundamentals of machine learning and its universal workflow, Working with Keras, Deep and advanced learning for computer vision, Deep learning for Timeseries, Deep learning for text, Generative deep learning and Best practices for the real world.   

Medical Imaging. Contents: Introducing MRI The Basics, Review of Vectors, Introduction to NMR - Nuclear Magnetism, Introduction to NMR - Spin Angular Momentum and Precession,  Introduction to NMR - Longitudinal Component Magnetization,  Introduction to NMR -- Transverse Component Magnetization,  Generating an NMR Signal  Resonance and Excitation, Excitation and Frames of Reference, Introduction to Relaxation, Transverse Magnetization Relaxation, Longitudinal Magnetization Relaxation, NMR Contrast, Contrast Agents,  Introduction to Magnetic Susceptibility, The Spin Echo, Hardware – Overview, Hardware - Static Magnetic Field, Hardware - RF Coils, Hardware - Receiver (A2D), Hardware - Gradient Magnetic Fields, Slice Selection, Frequency Encoding, Phase Encoding and k-space, K-space_ Features and Tricks, Spatial Localization and k-space Review and Q&A, 3D Fourier Transform Imaging, Field of View, Receiver Bandwidth and Aliasing, Chemical Shift, Review of Spatial Localization and Bandwidth, Introduction to Pulse Sequences, The Spin Echo Pulse Sequence, Multislice Imaging,  Multiecho Spin Echo Imaging,  The Gradient Echo Pulse Sequence and Modified Flip Angle, Inversion Recovery, Saturation Techniques,  Fast Spin Echo Pulse Sequence, Fast Gradient Echo and Echoplanar Imaging, Fast Imaging Image Review, Parallel Imaging, Improving Signal to Noise ratio of an MRI, Flow effect.

Advanced Digital Image Processing. Contents: Introduction, Digital Image Fundamentals, Intensity Transformation and Spatial Filtering, Filtering in the Frequency Domain, Image Restoration and Reconstruction, Wavelets and Multiresolution Processing, Morphological Image Processing, Image Segmentation, Representation and Description (depends upon the class progress), Object Recognition (depends upon the class progress).

Satellite Imaging. Contents: Concepts and Foundations of Remote Sensing, Introduction to Visual Image Interpretation, Multispectral, Thermal, and Hyperspectral Sensing, Digital Image Interpretation and Analysis. Introduction to Astronomy.

Digital Signal Processing. Contents: Processing and analysis of continuous (analog) and discrete-time (digital) signals. Sampling continuous signals: the sampling theorem, reconstruction, and aliasing. Z-Transforms and Inverse Z-Transform. Analog filters: Butterworth filters. Filter impulse and frequency responses, stability, and digital oscillators. The Discrete Fourier Transform (DFT). Fundamentals of the design and realization of the finite impulse response (FIR) and infinite impulse response (IIR) digital filters. Linear and non-linear phase filters. Decimation, interpolation, multi-rate digital signal processing.

Information Coding Theory. Contents: Importance of Information Coding Theory, Fundamentals of Information Coding Theory, Entropy and Uniquely decodable and prefix codes, Huffman Code, Kraft-McMillian Inequality, Optimal Coding, and Block Coding, Shannon Fano Elias Coding, Arithmetic Coding, Lempel-Ziv-Welch Coding, Error Control Coding Introduction, Types of Channel Codes, Decoding Strategies, Error Control Strategies,  Syndrome and error detection and correction, Encoding via convolutional code, State diagram and Trellis Diagram and Viterbi Algorithm.

Digital Logic Design. Contents:  Digital Systems and Binary Numbers, Boolean Algebra and Logic Gates,  Gate Level Minimization, Combinational logic, Synchronous Sequential Logic, Register and Counters, Memory and Programmable Logic.

Circuits and Devices. Contents:  Introduction to circuits and devices. Voltage and Current. Resistance. Ohm's Law, Power, and Energy. Series dc circuits. Parallel dc circuits. Methods of Analysis. Network Theorems. Capacitors. Inductors.

                  

09/10 – 08/11       Air University, Sector E-9, PAF Complex, Islamabad, Pakistan.  

Lecturer 

Job responsibilities 

Wireless Communications. Contents:  Introduction to Wireless Communication Systems. Modern Wireless Communication Systems. The Cellular Concept--System Design Fundamentals. Mobile Radio Propagation--Large Scale Path Loss. Mobile Radio Propagation--Small Scale Path Fading and Multipath. Equalization, Diversity, and Channel Coding.  Wireless Systems and Standards--GSM.

Lab of Analog Electronics, Digital Logic Design, and Network Analysis. I used Proteus in Analog Electronics, Verilog in Digital Logic Design, and PSpice in Network Analysis for simulation and circuits design. 

                                

04/09 – 06/10       Palmchip Ltd. F-10/2, Islamabad, Pakistan. (Contracted) 

Senior Software Engineer (Programming) 

Job responsibilities and projects. [Follow ISO 9001:2000]

                   Apart from this I have created website of this project in Django using Apache Server interface with MySQL. The website can create and edit the users data                             and have the ability for every employee to check his/her attendance. The website has the ability to operate level wise e.g. the permissions of manager and                               branch manager is different. I have also used Java Query where required e.g. creating table. [Window XP, NetBeans 6.7]

                     In this project I have studied different hard drives and its partition formation and Program accordingly. My major work was using Linux in Python and to make                     GUI using wxPython. Using parted command I got all the information of partition I need. I use ntfsclone command to clone system and use fdisk to create and                        manage partition and use other Linux commands where required. [Fedora 10, NetBeans 6.7] 

 

09/08 – 03/09      COMSATS Institute of Information Technology, Islamabad, Pakistan. (Temporary) 

Research Engineer (Research and Development). 

  

03/06 – 12/07       Path Intelligence Ltd., Port Solent, Portsmouth, U.K.

Radio Systems Assistant Engineer (Research and Development)

Job responsibilities and projects.

 

04/02 – 09/04       Pakistan Atomic Energy Commission, Islamabad, Pakistan.

Scientific Officer (Research and Development)

Major achievement: I successfully organized a team that had to design and test in 6 months, 6 different PCB designs, including 150 tested copies of each PCB. The project was delivered on time and within budget.

 Major projects:

 

05/01 – 03/02      Trust for Application of Scientific Knowledge, F-8/1, Islamabad, Pakistan.

Research Officer (Research and Development)        

Major projects:

 

05/99 – 04/01       Time & Tune, Blue Area, Islamabad, Pakistan.

Programmer (Installation and sales)

 

THESES AND  PROJECTS SUPERVISED

 MS Theses:

Final Year projects: