Dr. MUHAMMAD HUSSAINfac.ksu.edu.sa › sites › default › files › cv_drmhussain.pdfMuhammad Hussain 5 o Muhammad Nadeem Ashraf, Automatic Screening of Diabetic Retinopathy at

Dr. MUHAMMAD HUSSAIN

Professor

Department of Computer Science,

College of Computer and Information Sciences,

King Saud University,

P.O. Box 51178, Riyadh 11543,

Kingdom of Saudi Arabia

Tel: +966-1-4673427, Cell: +966-559268196

Fax : +966-1-4675630

Email: [email protected], [email protected]

Member IEEE (#92183451)

Web: http://faculty.ksu.edu.sa/mhussain

AT A GLANCE

NAME: MUHAMMAD HUSSAIN

NATIONALITY: PAKISTAN

EDUCATION: Ph.D. (JAPAN) in Computer Science

CURRENT POSITION:

PROFESSOR

Department of Computer Science,

King Saud University, SAUDI ARABIA

WORK EXPERIENCE:

About 24 years teaching / research experience

PROFESSOR


Dec. 2013 ~ to date

ASSOCIATE PROFESSOR


Dec. 2009 ~ Nov. 2013

ASSISTANT PROFESSOR


Sept. 2005 ~ Nov. 2009

CURRENT RESEARCH

Deep Learning, Biometrics, Medical Imaging

RESEARCH PUBLICATIONS

TOTAL: 157

PATENT: 2

JOURNAL: 82 (57 ISI indexed, 6 ISI indexed under review, 5

Scopus indexed, 14 others)

BOOKS / EDITED BOOKS: 2

BOOKS CHAPTERS: 14 (9 Springer LNCS)

INT. CONFERENCE PROC.: 59

Muhammad Hussain

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EDUCATION

Ph. D.

Institution: Kyushu University, Fukuoka, JAPAN

Completed: March, 2003 (Apr. 2000 ~ Mar. 2003)

Specilization: Computer Science

M. Phil.

Institution: University of the Punjab, Lahore, Pakistan

Completed: April, 1993 (Sept. 1990 ~ April 1993)

Grade: First Class – Second position in the university

M. Sc.

Institution: University of the Punjab, Lahore, Pakistan

Completed: January 1990 (Sept. 1987 ~ Aug. 1989)

Grade: First Class – Third Position in the university

EXPERIENCE

2013~todate Professor

Institution: Department of Computer Science,

King Saud University, Riyadh, Saudi Arabai

Duties: Teaching and research suppervison at graduate and

undergraduate levels

Period: Dec. 2013 ~ To Date

2009~13 Associate Professor

Institution: Department of Computer Sceince,




Period: Dec. 2009 ~ Nov. 2013

2005~09 Assistant Professor

Institution: Department of Computer Sceince,




Period: Sept 2005 ~ Dec. 2009

2003-05 Researcher

Institution: Japan Science and Technology Agancy, Japan

Duties: Research on multiresolution techniques for Computer Graphics

Period: April 2003 ~ Sept. 2005

2000-03 Teaching and Research Assistant

Institution: Department of Infromatics,

Gaduate School of Information Science and Electrical

Engineering, Kyushu University, Fukuoka, Japan

Muhammad Hussain

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Duties: Assisted in teaching various Computer Science courses at

undergraduate and graduatle levels and research

Period: April 2000 ~ March 2003

1999-2000 Resaerch Associate

Institution: Department of Infromatics,

Gaduate School of Information Science and Electrical

Engineering, Kyushu University, Fukuoka, Japan

Duties: Resaerch

Period: April 1999 ~ March 2000

1995-99 Lecturer

Institution: Department of Mathematics,

Punjab University, Lahore, Pakistan

Duties: Taught different courses to M.Sc. Classes

Period: January 1995 ~ March 1999

1997-99 Lecturer on Visit

Institution: FAST Institute of Computer Science,

Faisal Town, Lahore, Pakistan

Duties: Taught different courses to BCS class

Period: June 1997 ~ March 1999

1995-96 Lecturer on Visit

Institution: Govt. F.C. College, Lahore, Pakistan

Duties: Taught FORTRAN & PASCAL programming to M.Sc. classes

Period: Sept. 1995 ~ August 1996

TEACHING AND RESEARCH SUPERVISION

Have supervised the following 21 MS thesis and projects (2005 ~ todate)

o EEG-based Person Identification Using Deep Convolutional Neural Network - Walaa Alsumari

o Schizophrenia Classification based on EEG Signals using Deep Learning -

Noudha Alsalooli

o EEG Signal based Brain-Computer Interface using Deep Learning - Nihal Alsaied

o Automatic Detection and Classification of Masses in Mammograms - Amal

Abdulaziz Almazrua

o Automatic Detection and Classification of Microcalcifications in Mammograms -

Manal Abdulaziz Almazrua

o Illumination Invariant Face Recognition – Fawzia Al-Otaibi

o Robust Automatic Detection of Major Depressive Disorder on

Electroencephalography using Deep Learning - Anjoom Ibrahem Alabdulali

o Classification of Breast Density in Mammography – Fatimah AlQahtani

Research Supervised

Muhammad Hussain

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o Image watermarking using multiresolution approaches - Laila Mohammad Al-

Shehri

o Studying the effects of 2D and 3D content on Learning and Memory Retention

using EEG Topomaps – Saeed Bamatraf

o Texture Features Analysis of Fundus Images for the Detection of Hemorrhages

and Microaneurysms in Diabetic Retinopathy - Muhammad Nadeem Ashraf

o Toward a competitive classifier for human gait - Abdulrahman Al-Ghadir

o Image Forgery Detection Exploiting Image Randomness – Amani Al-Ahmedi

o Comparison of Different Feature Descriptors for Category Specific Face

recognition – Taghreed Alamri

o Category specific face recognition using multiresolution techniques and PSO –

Sara Al-Otaibi

o Image Splicing Detection - Sahr Saleh

o Enhancing Hand Based Authentication and Identification by Feature Selection –

Awabed Al-Jibreen

o Feature Extraction/Selection for Category Specific Face Recognition based on

Gender Classification – Ihsan Ullah

o Contrast Enhancement of Mammograms for Breast Cancer Detection based on

Multiresolution Framework – Helala Al-Shehri

o Forgery detection – Najah Muhammed

o Simplification of Polygonal Models for Distributed Visualization - Hessah

Alsaaran, KSU.

Current and Past Ph.D thesis Supervision (2005 ~ todate)

o Raqinah Mohammed Ibrahim Alrabiah, Gender Recognition Based on the

Periocular Region in the Wild Using Deep Learning - Department of Computer

Science, KSU, Riyadh, Saudi Arabia.

o Mariam Abdullah Busaleh, Density Specific Mass Classification in

Mammography using Deep Learning - Department of Computer Science, KSU,

Riyadh, Saudi Arabia.

o Khalid Abdullah Babutain, Early Intelligent Computer Aided Diagnosis of Ischemic

Brain Stroke on CT Images using Deep Learning - Department of Computer


o Eman Ali Nazmi ALsaidi, An Efficient and Robust Cardiac Arrhythmia

Screening System using Deep Learning, Department of Computer Science, KSU,

Riyadh, Saudi Arabia.

o Fahman Ali Esmail Saeed, An Automatic Diabetic Retinopathy Screening System

based on Deep Learning, Department of Computer Science, KSU, Riyadh, Saudi

Arabia.

o Emad Qazi, Feature Extraction for the Classification of Electroencephalography

(EEG) Brain Signals using Deep Learning and Hand-Engineered Techniques,

Department of Computer Science, KSU, Riyadh, Saudi Arabia.

o Helala M. Al-Shehri, Fusion of Feature Representations and Matching

Techniques for Fingerprint Sensor Interoperability, Department of Computer


Muhammad Hussain

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o Muhammad Nadeem Ashraf, Automatic Screening of Diabetic Retinopathy at

Early Stage using Colored Fundus Images, COMSATS Institute of Information

Technology, Lahore, Pakistan. (Co-Advisor).

o Muhammad Khurshid Asghar, Image Forgery Detection and Localization for

Forensic Applications, COMSATS Institute of Information Technology, Lahore,

Pakistan. (Co-Advisor).

o Syed Jamal Safdar Gardezi, breast Cancer Detection using Gamma Corrections

and Curvelet Coefficients, Department of Computer Science, UTP, Malaysia (Co-

Advisor).

o Iftikhar Ahmed, Feature Subset Selection in Intrusion Detection Using Soft

Computing Techniques, Department of Computer Science, UTP, Malaysia (Co-

Advisor).

o Hafiz Muhammad Imran, Hybrid Soft Computing Approach for Intrusion

Detection Systems, Malaysian University of Science & Technology, Malaysia

(Co-Advisor).

Have Examined the following 8 Ph. D. thesis (2005 ~ todate)

o Abduljawad A. Amory, A Novel Tree-Based Deep Learning Model, Department

of Computer Science, KSU, Saudi Arabia.

o Abdu Hasan Abdu Gumaei, Effective Approaches for Multispectral Palmprint

Recognition Based on Different Fusion Techniques, Department of Computer

Science, KSU, Saudi Arabia.

o Eman Abulhamid Azaid, Split Read-based Detection for Genome Structrual

Variations using Next-Geberation Sequencing, Department of Computer Science,

KSU, Saudi Arabia.

o Abeer N. Al-Nafjan, Augmenting Speech Language Rehabilitation Using

Emotion Detection Based on Brain Computer Interfaces, Department of

Computer Science, KSU, Saudi Arabia.

o Alia Alabdulkarim, Privacy-Preserving Healthcare System for Clinical Decision-

Support and Emergency Call System, Department of Copmputer Engineering,

KSU, Saudi Arabia.

o Mohamed Shakir, Development of a Wearable Electroencephelography Based

System for Epileptic Seizure Prediction, Universiti Technologi Petronas,

Malaysia.

o Hajar Mohammedsaleh H. Alharbi, Suspicious Mass Detection in Digitized

Screening Mammography, University of New England, Australia.

o Abdulrakeeb Mahyoub Ali Al-Ssulami, Towards an Efficient Algorithm for Exact

String Matching, Department of Computer Science, KSU, Saudi Arabia

o Ata Ullah, Matrix based Hybrid Key Establishment Schemes for Securing the

Communication in Group based WSN - Internaltional Islamic University,

Islamabad, Pakistan.

Muhammad Hussain

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o Muhammad Al Rahhal, Advanced Methods for Classification of

Electrocardiogram Signals, Department of Copmputer Engineering, KSU, Saudi

Arabia

o Hala Al Shamlan, A Novel Cancer Classification Model for Microarray Gene

Expression Profile, Department of Computer Science, KSU, Saudi Arabia

Have taught the following courses from Sept. 2005 ~ to date

Undergraduate courses o CSC111 – Computer Programming

o CSC212 – Data Structures

o CSC477 – Computer Graphics and HCI

o SWE485– Selected topics in Software Engineering (Formal Methods and Design

Patterns)

o SWE482– Human Computer Interaction (HCI)

o SWE507- Formal Methods for Software Engineering

M.Sc. courses o CSC558 – Image Processing and Pattern Recognition

o CSC566 – Advanced Applications of Pattern Recognition and Machine

Learning

o CSC572 – Advanced Computer Graphics

o CSC512 – Algorithm Design and Analysis

Ph.D. courses

o CSC669 – Selected Topics in Image Processing and Pattern Recognition

o CSC601 – Advanced Computing and Applications

o CSC678 – Selected topics in Virtual Reality and Computer Vision

o CSC696 – Independent Resrach Study-I

o CSC697 – Independent Resrach Study-II

CURRENT RESEARCH INTERESTS

My research interests include Image Processing, Pattern Recognition, Machine Learning

and Computer Graphics. The focus of my research is on:

Deep Learning

Biometrics: Face, Periocular and Fingerprint Recognition

Neuroimaging – EEG brain signals

Medical Image Processing and Analysis

Image Forensics

Computer Graphics – Multiresolution Modeling of 3D data

RESEARCH GRANTS

Courses Taught

Muhammad Hussain

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o Research Group (RGP- 1439-067) – DSR KSU

Place: DSR- King Saud University

Duration: One years (Dec. 2, 2018 ~ Dec. 01, 2019)

Respocibility: Principal Investigator

Amount of Grant: 150000SAR

o Fingerprint Sensor Interoperability (13-INF946-02)

Place: NPST (KACST) - King Saud University

Duration: Two years (Apr. 2015 ~ Mar. 2017)


Amount of Grant: 1,662,600SAR

o The Design and Analysis of 3D Educational Content for Learning and

Memorization Processes (12-INF2582-02)


Duration: Two years (Jan 2014 ~ Dec. 2015)



o Category Specific Face Recognition (10-INF1044-02)


Duration: Two years (Jan. 2011 ~ Dec. 2012)



o Non-intrusive Image Forgery Detection using Multiresolution Framework (10-

INF1140-02)


Duration: Two years (Jan. 2012 ~ Dec. 2013)

Respocibility: Co-Investigator


o Computer Aided Diagnosis for Breast Cancer Detection (08-INF325-02)


Duration: Two years (Oct 2010 ~ Sept. 2012)


Amount of Grant: 955,000SAR

o Enhancement of Medical Images for Diagnosis

Place: Reseach Center, CCIS, King Saud University

Duration: One year (Jan. 2009 ~ Dec. 2009)

Responciblity: Principal Investigator

Amount of Grant: 72,500SAR

o LOD Modeling of Real 3D Objects

Place: Reseach Center, CCIS, King Saud University

Duration: One year (Feb. 2007 ~ May 2008)


Muhammad Hussain

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o Real-World Oriented Embodiment Programming

Place: Japan Science and Technology Agency (JST) - Japan

Duration: Two and half years (April 2003 ~ Sept. 2005)

Respocibility: Investigator

MISCELLANEOUS ACTIVITIES

Member Ph.D. Committee (Session 2018-19), Dept. of CS., CCIS, KSU

Member Ph.D. Comprehensive Exam Committee (Session 2018-19), Dept. of CS.,

CCIS, KSU



CCIS, KSU



CCIS, KSU



CCIS, KSU


Member Grduation Project Committee (Session 2013-14), Dept. of SE., CCIS,

KSU

Member Grduation Project Committee (Session 2012-13), Dept. of SE., CCIS,

KSU

Member Capstone Committee (Session 2012-13), Dept. of CS., CCIS, KSU






Convener Rules and Tasks Committee (Session 2009-10), Dept. of CS., CCIS,

KSU



Member RA Recruitment Committee (Session 2008-09), Dept. of CS., CCIS, KSU

Member Postgraduate Committee (Session 2008-09) , Dept. of CS., CCIS, KSU


Member Research Committee (Session 2007-08) , Dept. of CS., CCIS, KSU



Member of the Board of the Faculty of Science, P.U. Lahore, Pak. (Sept. 1997 ~

August 1998)

Course coordinator for Computer Graphics and Numerical Methods courses at FAST

Institute of Computer Science, Lahore, Pak (Spet 1996 ~ March 1999)

Administrative Contributions Member

Muhammad Hussain

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Associate Editor, Journal of King Saud University - Computer and Information

Sciences (Elsvier), January 2014 – Sept 2018.

Served as reviewer for the following journals:

- IEEE Transactions on Human-Machine Systems

- IET Computer Vision

- Pattern Recognition (Elsvier)

- Forensic Science International (Elsvier)

- Computer Methods and Programs in Biomedicine (Elsvier)

- Machine Vision and Applications (Elsvier)

- Computers in Biology and Medicine (Elsvier)

- Engineering Applications of Artificial Intelligence (Elsvier)

- Signal, Image and Video Processing (Springer)

- International journal of Computer Vision and Image Processing (IGI Global)

- Paralell Processing Letters (World Scientific Singapore)

- Journal of Visualization, The Visualization Society of Japan

Co-Chair (Graphics), ISVC 2010, Las Vegas, USA

PC Member of the following International Conferences

- ISVC 2014, 2015, 2016, 2017, 2018, 2019 Las Vegas, Nevada, USA

- ISVC 2013, Crete, Greece

- ISVC 2012, Organizer Special Session on Face Processing and Recognition,

Crete, Greece

- IV2016, GMAI2016, Lisbon, Portugal

- IV2015, GMAI2015, Spain

- IV2014, GMAI2014, Paris, France

- IV2013, London, UK

- IV2012, Montpellier, France

- IV 2010, London, UK

- Computer Gaming Track, SIGGRAPH ASIA 2012, Singapore.

- Multimedia Application Track, 3PGCIC-2012, University of Victoria, Victoria,

Canada

- IV 2011, London, UK

- 3PGIC 2011, Barcelona, Spain

- 3PGIC 2010, Fukuoka, Japan

Served as reviewer for the following International Conferences

- CGI 2012, Bournemouth, UK

- IV’09, GMAI’09, CGIV’09, IV’08, GMAI’08, IV’07, CGIV’07, IV’06,

CGIV’06, IV’05, CGIV’05, GMVAG'05, SCCG’04, CGIV’04, CGIV’04

Invited Talk GMSV Workshop 2011, Tabuk, KSA

Associate Editor of International Journal of Computer Graphics and CAD/CAM,

2005

Invited Talk at the Department of Computer Science, COMSATS, Lahore, Pakistan,

June 2016.

Community Service

Muhammad Hussain

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HONORS

Monbusho Scholarship During Ph.D. awarded by Monbusho, Govt. of Japan

(April 1999 ~ March 2003)

Merit Scholarship During M.Phil. awarded by University Grants Commission, Pakistan

(Sept. 1990 ~ Aug. 1993)

Merit Scholarship

During M.Sc awarded by Director of Lahore Division, Pakistan

(Sept 1987 ~ Aug. 1989)

Third Position in M.Sc. (1990)

In order of merit in Punjab University among hundreds of candidate

RESEARCH PUBLICATIONS

I have two US patents and 155 research papers, which include 82 journal papers (76

publisehd+6 under review), 2 books, 14 book chpaters and 59 international conference

papers. The 57 journal papers have been published in ISI indexed journals with impact

factors ranging from 10.244 to 0.299.

[1] Fahman Saeed, Hussain, M., Hatim Aboalsmah, “Method for Fingerprint

Classification”, U.S. Patent No. US9530042B1, Dec27, 2016.

[2] Qazi Emad Ul Haq, Hussain, M., Hatim Aboalsmah, “Method of Classifying Raw

EEG signals”, U.S. Patent No. US10299694, May 28, 2019.

Under Review

[3] Laila AlShehri1, Hussain1, M., Hatim Aboalsamh, Wadood Abdul, “Fragile

Watermarking for Image Authentication using BRINT and ELM”, Multimedia Tools

and Applications, (Revision submitted) 2019. [IF: 2.101, Q2, ISI indexed]

[4] Qazi Emad-ul-Haq, Hussain, M., Hatim Aboalsamh, Saeed Bamatraf, Aamir Saeed

Malik, Hafeez Ullah Amin, “A review on understanding brain and memory Retention

and Recall processes using EEG and fMRI techniques”, Psychiatry Research:

Neuroimaging (Revision submitted), 2019. [IF: 2.27, Q3, ISI indexed]

[5] Emad-ul-Haq Qazi, Hussain, M., Hatim AboAlsamh, Ihsan Ullah, “Automatic

Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight

Deep CNN Models”, Future Generation Computer Systems, (Under review), 2019.

[IF: 4.64, Q1, ISI indexed]

[6] Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Hussain, M., Zulfiqar

Habib, “Classification of Authentic and Tampered Video Using Motion Residual and

JOURNAL PAPERS

PATENT

Muhammad Hussain

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Parasitic Layers”, Applied Soft Computing, (Under review) 2019. [IF: 4. 873, Q1, ISI

indexed]

[7] Fahman Saeed, Hussain, M., Hatim A Aboalsamh, “Automatic Diabetic Retinopathy

Diagnosis Using Deep Learning Technology” Medical Image Analysis (Under

review) 2019 [IF: 8. 88, Q1, ISI indexed].

Accepted/Published

[8] Amani Alahmadia, Hussain, M., Hatim Aboalsamh and Aqil Azmia, “ConvSRC:

SmartPhone-based Periocular Recognition using Deep Convolutional Neural

Network and Sparsity Augmented Collaborative Representation”, Journal of

Intelligent & Fuzzy Systems, (Revision submitted), 2019. [IF: 1.637, Q3, ISI

indexed]

[9] Aqil M. Azmi, Maram F. Al-Jouie, Hussain M., AAEE – “Automated evaluation of

students’ essays in Arabic language”, Information Processing and Management, 56

(2019), pp. 1736- 1752, 2019 [IF: 3.892, ISI indexed].

[10] Norah Asiri, Hussain M., Fadwa Al-Adel, Nazih Alzaidid, “Deep learning based

computer-aided diagnosis systems for diabetic retinopathy: A survey”, Artificial

Intelligence in Medicine, Vol 99, August 2019 [IF: 3.574, ISI indexed].

[11] Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Hussain M., Zulfiqar

Habib, “Spatial Video Forgery Detection and Localization using Texture Analysis of

Consecutive Frames”, Advances in Electrical and Computer Engineering Journal,

Vol. 19(3), pp. 97-108, 2019 2019 [IF: 0.650, ISI indexed].

[12] Khurshid Asghara, Xianfang Sun, Paul L. Rosinc, Mubbashar Saddique, Hussain M.,

Zulfiqar Habib, “Edge-Texture Feature based Image Forgery Detection with Cross

Dataset Evaluation”, Machine Vision and Applications (Revision submitted), 2019.

[IF: 1.306, ISI indexed]

[13] Helala AlShehri, Hussain, M., Hatim AboAlSamh, Qazi Emad-ul-Haq, Mansour Al-

zuair and Aqil M. Azmi, “Alignment-Free Cross-Sensor Fingerprint Matching based

on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor”, IEEE

Access, Vol. 7, pp. 86436 – 86452, 20 June 2019. [IF: 4.098, ISI indexed]

[14] Emad-ul-Haq Qazi, Hussain, M. and Hatim Aboalsamh, “An Efficient Intelligent

System for the Classification of Electroencephalography (EEG) Brain Signals using

Nuclear Features for Human Cognitive Tasks”, Journal of Intelligent & Fuzzy

Systems, Vol. 37(1), pp. 913-928, 2019. [IF: 1.637, ISI indexed]

[15] AM Al-Ssulami, AM Azmi, Hussain, M., “CodSeqGen: A tool for generating

synonymous coding sequences with desired GC-contents”, Genomics, (Accepted),

2019. [IF: 3.16, ISI indexed]

[16] Amani Alahmadi, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, PCAPooL:

Unsupervised Feature Learning for Face Recognition using PCA, LBP and Pyramid

Pooling Pattern Analysis and Applications, (Accepted), 2019. [IF: 1.281, ISI

indexed]

[17] Muhammad Nadeem Ashraf, Hussain, M. and Zulfiqar Habib, “Review of Various

Tasks Performed in the Preprocessing Phase of a Diabetic Retinopathy Diagnosis

Muhammad Hussain

12

System”, Current Medical Imaging Reviews, (Accepted), 2019. [IF: 0.533, ISI

indexed]

[18] Helala alshehri, Hussain, M., Hatim Aboalsamh, and Mansour Al-zuair, “Cross-

Sensor Fingerprint Matching Method Based on Orientation, Gradient, and Gabor-

HoG Descriptors with Score Level Fusion” IEEE Access, Vol. 6, pp. 28951-28968,


[19] Ihsan Ullah, Hussain, M., Emad-ul-Haq Qazi and Hatim Aboalsamh, “An

Automated System for Epilepsy Detection using EEG Brain Signals based on Deep

Learning Approach”, Expert Systems with Applications, Vol. 107, pp. 61-71, 2018.


[20] Helala AlShehri, Hussain, M., Hatim AboAlSamh and Mansour AlZuair, “A Large-

Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem”,

Sensors, Vol. 18(4), 2018. [IF: 3.031, ISI indexed]

[21] AlShehri, H, Hussain, M, AboAlSamh, HA, AlZuair, M., “Fingerprint Verification

System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score

level Fusion”, International Journal of Computer Science and Software Engineering,

Vol. 7(3), pp. 47–51, 2018.

[22] Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal Kamel, Hussain,

M., “Mammogram classification using Dynamic time warping”, Multimedia Tools

and Applications, Vol. 77(3), pp. 3941-3962, February 2018. [IF: 2.101, ISI indexed]

[23] Emad-ul-Haq Qazi, Hussain, M., Hatim Aboalsamh, Aamir Malik, HafeezUllah

Amin, Saeed Bamatraf, “Single Trial EEG Patterns for the Prediction of Individual

Differences in Fluid Intelligence”, Frontiers in Human Neuroscience, Published

online Jan 20, 2017. [IF: 2.871, ISI indexed].

[24] W Abdul, A Alzamil, H Masri, S Ghouzali, Hussain, M., M AlZuair, “Fingerprint

and Iris Template Protection for Health Information System Access and Security”,

Journal of Medical Imaging and Health Informatics, Vol. 7 (6), pp. 1302-1308, 2017.


[25] Rana Fayyaza Ahmad, Aamir Saeeda Malik, Nidal Kamel, Faruque Reza, Hafeez

Ullaha Amin, Hussain, M., “Visual brain activity patterns classification with

simultaneous EEG-fMRI: A multimodal approach”, Technology and Health Care,

vol. 25(3), pp. 471-485, 2017. [IF: 0.787, ISI indexed]

[26] B Al-Dhafian, I Ahmad, Hussain, M., Fazal-e-Amin, M Imran, “Improving the

Security in Healthcare Information System Through Elman Neural Network Based

Classifier”, Journal of Medical Imaging and Health Informatics, Vol. 7 (6), pp. 1429-

1435, 2017. [IF: 0.549, ISI indexed]

[27] A Al-Amro, Hussain, M., I Ahmad, A Alghamdi, MA Al-Wadud, “Performance

Comparison of Kernel Principal Component Analysis's Kernels in Intrusion

Detection”, Journal of Medical Imaging and Health Informatics, Vol. 7 (3), pp. 733-

738, 2017. [IF: 0.549, ISI indexed]

[28] Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal Kamel, Hussain,

M., “Mammogram classification using Chi-square distribution on local binary pattern

Muhammad Hussain

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features”, Journal of Medical Imaging and Health Informatics, vol. 7(1), pp. 30-34,


[29] Wajid Mumtaz, Likun Xia, Syed Saad Azhar Ali, Mohd Azhar Mohd

Yasin, Hussain, H., Aamir Saeed Malik, “Electroencephalogram (EEG)-based

computer-aided technique to diagnose major depressive disorder (MDD)”,

Biomedical Signal Processing and Control, Vol. 31(2017) pp.108–115, 2017. [IF:

2.783, ISI indexed]

[30] Ghulam Muhammad, Hussain, H., Muneer Al-Hammadi, Hatim Aboalsamh, Hassan

Mathkour and Amir Saeed Malik, “Short-term and long-term memory analysis of

learning using 2D and 3D educational contents”, Behaviour & Information

Technology (Taylor & Francis), vol. 35, pp. 958-967, Sep. 2016. [IF: 1.380, ISI

indexed]

[31] Salabat Khan, Hussain, M., Hatim Aboalsamh, Hassan Mathkour, George Bebis,

Mohammed Zakariah, “Optimized Gabor features for mass classification in

mammography”, Applied Soft Computing, Vol. 44, pp. 267–280, 2016. [IF:3.907, ISI

indexed]

[32] Amani Alahmadi, Hussain, M., Hatim Aboalsamh, Ghulam Muhammad, George

Bebis, Hassan Mathkour, “Passive Detection of Image Forgery using DCT and Local

Binary Pattern”, Signal, Image and Video Processing (Springer), Vol. 11(1), pp. 81–

88 2017. [IF: 1.643, ISI indexed]

[33] Salabat Khan, Hussain, M. Hatim Aboalsamh and George Bebis, “A comparison of

different Gabor feature extraction approaches for mass classification in

mammography” Multimedia Tools Appl., Vol. 76(1), pp 33–57, 2017 [IF: 4.873, ISI

indexed].

[34] Khurshid Asghar, Zulfiqar Habib, Hussain, M., “Copy-Move and Splicing Image

Forgery Detection and Localization Techniques: A Review”, Australian Journal of

Forensic Sciences, published online: 29 Apr 2016 [IF: 1.522, ISI indexed].

[35] Saeed Bamatraf, Hussain, M., Hatim A. Aboalsamh, Qazi Emad-Ul-Haq, Aamir

Saeed Malik, Hafeezullah Amin, Hassan Mathkour, Ghulam Muhammad and Hafiz

Muhammad Imran, “A System for True and False Memory Prediction based on 2D

and 3D Educational Contents and EEG Brain Signals”, Computational Intelligence

and Neuroscience, Article Number: 8491046, 2016. [IF: 2.154, ISI indexed]

[36] Hafeez Ullah Amin, Aamir Saeed Malik, Nidal Kamel, Hussain, M., “A Novel

Approach Based on Data Redundancy for Feature Extraction of EEG Signals”, Brain

Topography, Springer, vol. 29(2), pp 207–217, March 2016 [IF: 3.104, ISI indexed].

[37] Qing-Chuan, Zhi-Ming, George Bebis, Hussain, M., “Face recognition using a novel

image representation scheme and multi-scale local features”, International Journal of

Biometrics, vol. 7(3), pp 191-212, 2015 [Scopus indexed].

Muhammad Hussain

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[38] Qazi Emad-ul-Haq, Hatim Aboalsamh, Abdelfettah Belghith, Hussain, M., Wadood

Abdul, Mostafa H. Dahshan, Sanaa Ghouzali, “Challenges and Solutions for Internet

of Things Driven by IPv6” KSII Transactions on Internet and Information Systems,

Vol. 9(12), pp. 4739 – 4758, December 31, 2015 [IF: 0.711, ISI indexed].

[39] Hafeez Ullah Amin, Aamir Saeed Malik, Nidal Kamel, Weng-Tink Chooi and

Hussain, M., “P300 correlates with learning & memory abilities and fluid

intelligence” Journal of NeuroEngineering and Rehabilitation (2015) 12:87, 2015

[IF:3.865, ISI indexed].

[40] Mohamed A. Berbar, Awatif Alqahtani, Hussain M., “Masses Classification using

Discrete Cosine Transform and Wavelet-based Directional Filter Bank for Breast

Cancer Diagnosis”, Journal of Medical Imaging and Health Informatics, vol. 6(1),

pp. 117-124(8), February 2016 [IF: 0.549, ISI indexed].

[41] Faezeh Tafazzoli, George Bebis, Sushil Louis and Hussain, M., “Genetic Feature

Selection for Gait Recognition” Journal of Electronic Imaging, vol. 24(1) 013036,

February 25, 2015. [IF: 0.924, ISI indexed].

[42] Hussain, M., Sahar Q. Saleh, George Bebis, Ghulam Muhammad, Hatim

Aboalsamh, and Hassan Mathkour “Evaluation of Image Forgery Detection Using

Multi-Scale Weber Local Descriptors”, International Journal on Artificial

Intelligence Tools, Vol. 24, No. 4 (2015) 1540016 (28 pages). [IF: 0.849, ISI

Indexed].

[43] Hafeez Ullah Amin, Aamir Saeed Malik, Rana Fayyaz Ahmad, Nasreen Badruddin,

Nidal Kamel, Hussain, M., WengTink Chooi, “Feature extraction and classification

for EEG signals using wavelet transform and machine learning techniques”

Australasian Physical & Engineering Sciences in Medicine, vol. 38(1), pp 139–149,

March 2015 [IF: 1.000, ISI indexed]

[44] Aamir Saeed Malik, Hafeezullah Amin, Nidal Kamel, Weng-Tink Choi, Hussain,

M., “The Effects of 3DTechnology on the Brain during Learning and Memory Recall

Processes”- Abstract, Annals of Neurology, S18, Vol. 76, pp. S-24, October 2014 [IF:

10.244, ISI Indexed].

[45] Hussain, M., Mammogram Enhancement Using Lifting Dyadic Wavelet Transform

and Normalized Tsallis Entropy, Journal of Computer Science and Technology, vol.

29(6): pp. 1048-1057, 2014 [IF: 1.185, ISI Indexed].

[46] Ihsan Ullah, Aboalsamh, H., Hussain, M., Muhammad, G., Mirza, A. M., Bebis, G.,

“Gender Classification using Texture Descriptors,” Journal of Internet Technology,

vol. 15(5), pp.801-812 (2014/9) [IF: 0.715, ISI Indexed].

[47] Yasser A. Reyad, Mohamed A. Berbar, Hussain M., “Comparison of Statistical,

LBP, and Multi-Resolution Analysis Features for Breast Mass Classification,” J Med

Syst (2014) 38(9), pp. 1-15, 2014 [IF: 2.415, ISI Indexed]

Muhammad Hussain

15

[48] Ahmad, I, Hussain M., Alghamdi, A., Alelaiwi, A., “Enhancing SVM performance

in intrusion detection using optimal feature subset selection based on genetic

principal components,” Neural Computing and Applications, vol. 24, pp. 1671–1682,

Springer-Verlag, (ISSN 0941-0643), 2013 [IF: 4.213, ISI Indexed].

[49] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Effective Extraction of

Gabor features for False Positive Reduction and Mass classification in

Mammography,” Applied Mathematics and Information Sciences - An International

Journal, vol. 8(1L), pp. 397-412 (Apr. 2014) [ISI Indexed].

[50] Hussain, M., Ihsan Ullah, Aboalsamh, H., Muhammad, G., Bebis, G., and Mirza, A.

M., “Gender Recognition from Face Images with Dyadic Wavelet Transform and

Local Binary Pattern,” International Journal on Artificial Intelligence Tools vol.

22(6), 1360018 (18 pages), 2013 (ISSN: 0218-2130) [IF: 0.565, ISI Indexed].

[51] Ghulam Muhammad, Munner H. Al-Hammadi, Hussain, M., and George Bebis,

“Image Forgery Detection Using Steerable Pyramid Transform and Local Binary

Pattern”, Machine Vision and Applications, Springer-Verlag, vol. 25(4), pp. 985-995,

May 2014 (ISSN 0932-8092) [IF: 1.306, ISI Indexed].

[52] Kausar, N., Samir, B.B., Ahmad, I., Hussain, M., “Efficient intrusion detection

system based on support vector machines using optimized kernel function”, Journal

of Theoretical and Applied Information Technology 60 (1), pp. 55-63, 2014 [Scopus

Indexed].

[53] Hussain, M., “False Positive Reduction in Mammography using Multiscale Spatial

Weber Law Descriptor and Support Vector Machines,” Neural Computing and

Applications, vol. 25(1), pp 83–93, Springer-Verlag, July 2014 (ISSN 0941-0643)

[IF: 4.213, ISI indexed].

[54] Ihsan Ullah, Hussain, M., Aboalsamh, H., El-Zaart, A., “Novel Technique for

Mammogram Image Segmentation using Moment Preserving Principle,”

Information-Tokyo, vol. 16(5), pp. 3155-3164, May, 2013 (ISSN 1343-4500).

[55] Hussain, M., “Efficient Decimation of Polygonal Models using Normal Field

Deviation,” Computing and Informatics, vol. 32(3), pp. 527–547, July 2013 (ISSN

1335-9150) [IF: 0.524, ISI indexed].

[56] Hussain, M., Al-Shehri, H., Berbar, M., “Contrast Enhancement of Mammograms

using Non-subsampled Contourlet Transform and Tsallis entropy,” Information-

Tokyo, vol. 16(5), pp. 3267-3274, May, 2013.

[57] Maryam J., Bebis, G., Hussain, M., and Muhammad, G., “Accurate and Robust

Localization of Duplicated Region in Copy Move Image Forgery,” Machine Vision

and Applications (MVA), Springer-Verlag, vol. 25(2), pp 451-475, 2014 (ISSN 0932-

8092) [IF: 1.306, ISI Indexed].

Muhammad Hussain

16

[58] Muhammad, G., and Hussain, M., “Passive Detection of Copy-Move Image Forgery

using Undecimated Wavelets and Zernike Moments,” Information-Tokyo, vol.16 (5),

pp. 2957-2964, May, 2013, (ISSN 1343-4500).

[59] Ahmad, I., Alghamdi, A., Hussain, M., Haque, M. A., “The Impact of Feature Subset

Selection in MLP Based Intrusion Detection Mechanism,” Information-Tokyo, vol.

16(5), pp. 3145-3154, May, 2013.

[60] Ahmad, I., Alghamdi, A., Hussain, M., and Quadri, A., “On the Provisioning of

Extending the Efficiency of Intrusive Analysis Engine through Optimal Feature

Subset Selection,” Information-Tokyo, vol. 16(3A), pp. 2053-2062, March, 2013.

[61] Noreen, N., Hayat, K., Madani, S. A., Hussain, M., “Curvelet based Brain Tumor

Detection from Magnetic Resonance Images,” Information-Tokyo, vol. 16(5), pp.

3259-3266, May, 2013.

[62] Hussain, M., “Ensemble Classifier for Benign-Malignant Mass Classification,”

International Journal of Computer Vision and Image Processing (IJCVIP), IGI

Global, vol. 3(1), pp. 66-77, January-March 2013 (ISSN: 2155-6997).

[63] Shicai Yang, Bebis G., and Hussain, M., Ghulam M., Anwar M. Mirza,

“Unsupervised Discovery of Visual Face Categories,” International Journal on

Artificial Intelligence Tools, vol. 22, No. 1, February 2013 (ISSN: 0218-2130) [IF:


[64] Kausar, N., Samir, B. B., Ahmad, I., Hussain, M., “Survey of Classification

Techniques in Intrusion Detection System for Determining Optimized Solution,”

Information-Tokyo, vol. 16(5), pp. 2987-2994, May, 2013.

[65] Hussain M., “Volume and Normal Field Based Simplification of Polygonal Models,”

Journal of Information Science and Engineering, vol. 29(2), pp. 267-279, March

2013 (ISSN: 1016-2364) [IF: 0.468, ISI Indexed].

[66] Sun, Z., Bebis, G., and Hussain, M., “Vehicle Detection Using Probabilistic Fusion,”

The Arabian Journal of Science and Engineering, vol. 38(10), pp. 2693–2701,

Springer-Verlag, October 2013 (ISSN 1319-8025) [IF: 1.092, ISI Indexed].

[67] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., Mirza, A. M., Aboalsamh, H.,

“Race Classification from Face Images using Local Descriptors,” International

Journal on Artificial Intelligence Tools, vol. 21(5), pp. 1–25, October 2012 [IF:


[68] Muhammad, G., Hussain, M., and Bebis, G., “Passive copy move image forgery

detection using undecimated dyadic wavelet transform,” Digital Investigation, vol. 9

(1), 2012, pp. 49–57, June 2012 (ISSN: 1742-2876) [IF: 1.660, ISI Indexed].

[69] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., “Optimized Intrusion

Detection Mechanism Using Soft Computing Techniques,” Telecommunication

Muhammad Hussain

17

System Journal, vol 52(4), pp 2187-2195, April 2013 (ISSN: 1018-4864) [IF: 1.527,

ISI Indexed].

[70] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., “Distributed Denial of Service

Attacks Detection Using Support Vector Machine,” Information-Tokyo, Vol. 14,

No.1, 2011, pp.127-134, January 2011 [IF: 0.358 ISI Indexed].

[71] Patten, T., Li, W., Bebis, G., Hussain, M., and Freeman, M., “Assessing Insect

Growth Using Image Analysis,” International Journal on Artificial Intelligence

Tools, Vol 20, No.3, pp. 511-530, June 2011 [IF: 0.565, ISI Indexed].

[72] Ahmad, I., Abdullah, A., Alghamdi, A., Alnfajan, K., Hussain, M., “Intrusion

detection using feature subset selection based on MLP”, Scientific Research and

Essays 6 (34), pp. 6804, 2011.

[73] Hussain, M., “Efficient Simplification Method for Generating High Quality LODs of

3D Meshes,” Journal of Computer Science and Technology, Vol. 24, No. 3, May

2009, pp. 604 -613 (ISSN: 1000-9000) [IF: 0.878, ISI Indexed].

[74] Hussain, M., “Representation of Polygonal Surfaces as Displaced Subdivision

Surfaces,” Journal of Computer Science, Vol. 5, No. 4, 2009, pp.242-249 [Scopus

Indexed].

[75] Hussain, M., Abdukirim, T., and Okada, Y., “Wavelet-Based Edge Detection in

Digital Images,” International Journal of Image and Graphics (IJIG), Vol. 8, No. 4,

2008, pp. 513-33.

[76] Abdukirim, T., Hussain, M., Niijima, K., and Takano, S., “The Dyadic Lifting

Schemes and the Denoising of Digital Images,” International Journal of Wavelets,

Multiresolution and Information Processing (IJWMIP), Vol. 6, No. 3, 2008, pp 331-

351, May 2008, (ISSN: 0219-6913) [ISI Indexed].

[77] Hussain, M., Okada, Y., and Niijima, K., “An Efficient Method for Converting

Polygonal Models into Displaced Subdivision Representation,” IEICE Transactions

on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E89-

A, No. 3, 2006, pp. 807-816, March 2006 (ISSN: 1745-1337) [ISI Indexed].

[78] Hussain, M., Okada, Y., and Niijima, K., “Fature Peserving and Memory Efficient

Simplification of Polygon Meshes,” International Journal of Modelling and

Simulation, Vol. 25, No. 4, 2005, pp. 253-258 [Scopus Indexed].

[79] Hussain, M., Okada, Y., “LOD Modelling of Polygonal Models,” Machine Graphics

and Vision, Vol. 14, No. 3, 2005, pp. 325-343 [Scopus Indexed].

[80] Hussain, M., “Displaced Subdivision Representation of Polygonal Models,”

International Journal of Computer Graphics and CAD/CAM, Vol. 1, No. 2, 2005,

pp.71-81.

Muhammad Hussain

18

[81] Hussain, M., Okada, Y., and Niijima, K., “Efficient and Feature-Preserving

Triangular Mesh Decimation,” Journal of WSCG, Vol. 12, No. 1, 2004, pp. 167-174

[Scopus Indexed].

[82] Hussain, M., Okada, Y., and Niijima, K., “Fast, Simple, Feature Preserving and

Memory Efficient Simplification of Triangle Meshes,” Special issue of International

Journal of Image and Graphics (IJIG) on 3D Vision and Medical Image Processing,

Vol. 3, No. 4, 2003, pp. 653-670.

[83] Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud; Hussain, M.;

Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L., Advances in Visual

Computing, LNCS Vol. 6453, 6454, 6455, Springer 2010.

[84] Muhammad Nadeem Ashraf, Zulfiqar Habib, Hussain, M., Computer Aided

Diagnosis of Diabetic Retinopathy, LAP LAMBERT Academic Publlishing,

Germany (ISBN: 978-3-659-77209-2), 2015.

[85] Hussain, M., Awabed Jibreen, Hatim Aboalsmah, Hassan Madkour, George Bebis

and Gholamreza Amayeh, “Feature Selection for Hand-Shape Based Identification”,

Advances in Intelligent Systems and Computing, Springer, Proc. CISIS 2015,

Burgos, SPAIN.

[86] Faezeh Tafazzoli, George Bebis, Sushil Louis and Hussain, M., “Improving Human

Gait Recognition Using Feature Selection", Advances in Visual Computing, LNCS

Springer (2014), Volume 8888, pp 830-840, Proc. 10th International Symposium on

Visual Computing (ISVC'14), December 8-10, 2014, Las Vegas, Nevada, USA.

[87] Anwar M. Mirza, Hussain M., Huda Almuzaini, Ghulam Muhammad, Hatim

Aboalsamh and George Bebis, “Gender Recognition using Fusion of Local and

Global Facial Features”, Advances in Visual Computing, LNCS Springer (2013),

Vol. 8034, pp 493-502, ISVC 2013, July 29-31, 2013, Crete, Greece.

[88] Muneer H. Al-Hammadi, Ghulam Muhammad, Hussain, M., and George Bebis,

“Curvelet Transform and Local Texture Based Image Forgery Detection”, Advances

in Visual Computing, LNCS Springer (2013), Vol. 8034, pp 503-512, ISVC 2013,

July 29-31, 2013, Crete, Greece.

[89] Sahar Q. Saleh, Hussain, M., Ghulam Muhammad and George Bebis, “Evaluation of

Image Forgery Detection Using Multi-Scale Weber Local Descriptors”, Advances in

Visual Computing, LNCS Springer (2013), Vol. 8034, 2013, pp. 416-424, ISVC

2013, July 29-31, 2013, Crete, Greece.

BOOK CHAPTERS

BOOKS / EDITED BOOKS

http://www.springerlink.com/content/978-3-642-33190-9/






Muhammad Hussain

19

[90] Hussain, M., Sarah Al-Otaibi, Ghulam Muhammad, Hatim Aboalsamh, George

Bebis, Anwar M. Mirza, “Gender Recognition Using Nonsubsampled Contourlet

Transform and WLD Descriptor” Image Analysis, LNCS Springer (2013), Vol. 7944,

2013, pp. 373-383, Proc. SCIA 2013, June 17-20, 2013, Espoo, Finland.

[91] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Mass Detection in Digital

Mammograms using Optimized Gabor Filter Bank,” Advances in Visual Computing,

LNCS Springer (2012), Vol. 7432, 2012, pp. 82-91, ISVC 2012, July 16-18, 2012,

Crete, Greece.

[92] Ihsan Ullah, Hussain, M., Aboalsamh, H., Muhammad, G., Bebis, G., and Mirza, A.

M., “Gender Recognition from Face Images with Dyadic Wavelet Transform and

Local Binary Pattern,” Advances in Visual Computing, LNCS Springer (2011), Vol.

7432, 2012, pp 409-419, ISVC 2012, July 16-18, 2012, Crete, Greece.

[93] Najah M., Hussain, M., Ghulam M., and Bebis, G., “A Non-Intrusive Method for

Copy-Move Forgery Detection” Advances in Visual Computing, LNCS Springer

(2011), Vol. 6939, pp. 516-525, ISVC2011, Sept. 26-28, 2011, Las Vegas, USA.

[94] Kausar, N., Samir, B. B., Abdullah, A., Ahmed, I., Hussain, M., “A Review of

Classification Approaches Using Support Vector Machine in Intrusion Detection,”

Informatics Engineering and Information Science - Communications in Computer

and Information Science Springer (2011), Vol. 253, 2011, pp. 24-34, ICIEIS 2011,

November 14-16, 2011, Kuala Lumpur, Malaysia.

[95] Hussain, M., “Fast and Reliable Decimation of Polygonal Models based on Volume

and Normal Field,” Advances in Visual Computing, LNCS Springer (2010), Vol.

6453, pp. 64-73, Proc. ISVC 2010, NV, USA (Best Paper Award).

[96] Hussain, M, “Fast Decimation of Polyhedra,” Advances in Visual Computing, LNCS

Springer (2008), Vol. 5358, pp. 119-128, ISVC 2008, Dec. 3~4, 2008, Las Vegas,

USA.

[97] Hussain, M., Okada, Y., and Niijima`, K., “User-Controlled Multiresolution

Modeling of Polygonal Models,” Computer Vision and Graphics, Computational

Imaging and Vision Springer (2006), Vol. 32, pp. 125-130, ICCVG 2004, September

22-24, 2004, Warsaw, Poland.

[98] Hussain, M., Okada, Y., and Niijima, K., “Efficient Simplification of Triangular

Meshes,” Geometric Modeling, Techniques, Applications, Systems and Tools, pp.

203-214. Editor: M. Sarfraz, John Wiley and Sons Ltd, UK, 2003.

[99] Hussain, M., Hatim Aboalsamh, Saeed Bamatraf, Emad-ul-Haq Qazi, “Color

Histogram Features for the Classification of Brain Signals using 2D and 3D

INTERNATIONAL CONFERENCE PAPERS

JOURNAL PAPERS



Muhammad Hussain

20

Educational Content”, International conference on Computer Applications & Information

Security (ICCAIS'2019). 01-03 May, 2019, Riyadh, Saudi Arabia.

[100] Fahman Saeed, Hussain M. and Hatim Aboalsamh, “Classification of Live Scanned

Fingerprints using Histogram of Gradient Descriptor”, Proc. of SCS-NCC’ 2018,

Apr. 25 – 26, 2018, Riyadh, Saudi Arabia.

[101] Fahman Saeed, Hussain, M. and Hatim Aboalsamh, “Classification of Live Scanned

Fingerprints using Dense SIFT based Ridge Orientation Features”, Proc. of

ICCAIS’2018, 04-06 April, 2018, Riyadh, Saudi Arabia.

[102] Raqinah Alrabiah, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, George

Bebis, “Pooled Homomorphic Binary Rotation Invariant and Noise Tolerant Face

Recognition under Varying Illumination”, LNCS Springer, vol. 10072, pp. 779-789,

Proc. ISVC 2016, December 12-14, 2016 Las Vegas, Nevada, USA.

[103] Mariam Busaleh, Hussain, M., Hatim A. Aboalsamh, Mansour Zuair, George Bebis

“False Positive Reduction in Breast Mass Detection using the Fusion of Texture and

Gradient Orientation Features”, LNCS Springer, vol. 10072, pp. 669–678, Proc.

ISVC 2016, December 12-14, 2016 Las Vegas, Nevada, USA.

[104] Qazi Emad-ul-Haq, Hussain, M., Hatim Aboalsamh, Saeed Bmatraf, Ihsan Ullah

“An Intelligent System to Classify Epileptic and Non-Epileptic EEG Signals”, Proc.

12th International Conference on Signal Image Technology & Internet-Based

Systems (SITIS 2016), 28 November–1 December 2016, Naples, Italy.

[105] Saeed Bamatraf, Hussain, M., Hatim Aboalsamh, Hassan Mathkour, Aamir Saeed,

Hafeez Ullah Amin, Ghulam Muhammad1, Emad-Ul-Haq Qazi1, “A System based

on 3D and 2D Educational Contents for True and False Memory Prediction using

EEG Signals”, Proc. IEEE EMBS-NER 2015, pp. 1096-1099, April 22-24, 2015,

Montpellier, France.

[106] Hafeez Ullah Amin, Aamir Saeed Malik, Nasreen Badruddin, Nidal Kamel, Hussain,

M. “Effects of Stereoscopic 3D Display Technology on Event-related Potentials

(ERPs)”, Proc. IEEE EMBS-NER 2015, pp. 1084-1087, April 22-24, 2015,

Montpellier, France.

[107] Saeed Bamatraf, Hatim Aboalsamh, Hussain M., Hassan Mathkour, Emad-Ul-Haq

Qazi, Aamir Malik, HafeezUllah Amin, “Studying the Effects of 2D and 3D

Educational Contents on Memory Recall using EEG Signals, PCA and Statistical

Features”, in Proc. AIMS 2015, IEEE Computer Society, pp. 187-192, Madrid Spain,

2014.

[108] Hussain M., Sarah Al-Otaibi, Hatim Aboalsamh, George Bebis, Ghulam

Muhammad, “Nonsubsampled Contourlet Transform Based Descriptors for Gender

Recognition,” Proc. CGIV 2014, IEEE Computer Society Press, Singapore, 2014.

[109] Muhammad Nadeem Ashraf a, Zulfiqar Habiba, Hussain M., “Texture Feature

Analysis of Digital Fundus Images for Early Detection of Diabetic Retinopathy,”

Proc. CGIV 2014, IEEE Computer Society Press, Singapore, 2014.

Muhammad Hussain

21

[110] Hussain, M., Sahar Q. Saleh, Hatim Aboalsamh, Ghulam Muhammad, and George

Bebis “Comparison between WLD and LBP Descriptors for Non-intrusive Image

Forgery Detection”, Proc. INISTA 2014, IEEE Computer Society Press, Alberobello,

Italy, 2014.

[111] Ghulam Muhammad, M. Solaiman Dewan, Mohammad Moniruzzaman, Hussain,

M., Mohammad Nurul Huda “Image Forgery Detection using Gabor Filters and

DCT” Proc. ICEEICT 2014, IEEE Computer Society Press , Dhaka, Bengladesh.

[112] Hafeez Ullah Amin, Aamir Saeed Malik, Nasreen Badruddin, Hussain, M. Nidal

Kamel, Weng-Tink Chooi, “Brain Behavior during Reasoning and Problem Solving

Task: An EEG Study”, Proc. 5th International Conference on Intelligent and

Advanced Systems ((ICIAS2014), to appear, 2014, Kuala Lumpur, Malaysia.

[113] Syed Jamal Safdar Gardezi, Ibrahima Faye, Nidal Kamel, Mohamed Meselhy

Eltoukhy, Hussain, M., “Performance Analysis of Morphological Component

Analysis (MCA) Method for Mammograms Using Some Statistical Features”, Proc.

3rd International Conference on Fundamental and Applied Sciences (ICFAS2014), to

appear, 2014, Kuala Lumpur, Malaysia.

[114] Amani A. Alahmadi, Hussain M.., Hatim Aboalsamh, Ghulam Muhammad, George

Bebis, “Splicing Image Forgery Detection Based on DCT and Local Binary Pattern”,

Proc. GlobalSIP 2013, IEEE Computer Society Press, pp. 253-256, December 3-5,

2013, Austin, Texas, USA.

[115] Hussain, M., Ghulam Muhammad, Sahar Q. Saleh, Anwar M. Mirza, George Bebis,

“Image Forgery Detection Using Multi-Resolution Weber Local Descriptors”, Proc.

EUROCON 2013, IEEE Computer Society Press, pp. 1570 - 1577, July 1-4, 2013,

Zaghreb, Croatia.

[116] Motasem AlSawadi, Ghulam Muhammad, Hussain, M., and George Bebis, “Copy-

move image forgery detection using local binary pattern and neighborhood

clustering,” European Modeling Symposium (EMS), Manchester, UK, November

2013.

[117] Ghulam Muhammad, Muneer H. Al-Hammadi, Hussain M., Anwar M. Mirza,

George Bebis, “Copy Move Image Forgery Detection Method Using Steerable

Pyramid Transform and Texture Descriptor”, Proc. EUROCON 2013, IEEE

Computer Society Press, pp. 1586 - 1592, July 1-4, 2013, Zaghreb, Croatia.

[118] Ghulam Muhammad, Faten A. Alomar, Hussain, M., Anwar M. Mirza, Hatim

Aboalsamh, and George Bebis, “Gender Recognition from Faces Using Bandlet and

Local Binary Patterns” Proc. IWSSIP 2013, IEEE Computer Society Press, pp. 59 -

62, July 7-9, 2013, Bucharest, Romania.

[119] Maryam Jaberi, George Bebis, Hussain, M., and Ghulam Muhammad, “Improving

the Detection and Localization of Duplicated Regions in Copy-Move Image

Muhammad Hussain

22

Forgery”, Proc. DSP 2013-18th International Conference on Digital Signal

Processing, IEEE Computer Society, pp. 1 - 6, July 1-3, 2013, Santorini, Greece.

[120] Hussain, M., “False Positive Reduction using Gabour Feature Subset Selection”,

Proc. ICISA 2013, IEEE Computer Society Press, pp. 218-221, June 24-26, 2013,

Pattaya, Thailand.

[121] Taghreed Alamri, Hussain, M., Ghulam Muhammad, Hatim Aboalsamh, George

Bebis and Anwar M. Mirza, “Category Specific Face Recognition Based on Gender”,

Proc. ICISA 2013, IEEE Computer Society Press, pp. 214-217, June 24-26, 2013,

Pattaya, Thailand.

[122] Hussain, M., Muhammad, G., Bebis, G., “Face Recognition using Multiscale and

Spatially Enhanced Weber Law Descriptor,” Proc. SITIS 2012, IEEE Computer

Society Press, pp. 85-89, Nov. 25-29, 2012, Naples, Italy.

[123] Hussain, M., Muhammad, G., Sahar Q. S., Bebis, G., and Mirza, A. M., “Copy-move

Image Forgery Detection using Multi-resolution Weber Descriptors,” Proc. SITIS

2012, IEEE Computer Society Press, pp. 395-401, Nov. 25-29, 2012, Naples, Italy.

[124] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “A Comparison of Different

Gabor features for Mass Classification in Mammography,” Proc. SITIS 2012, IEEE

Computer Society Press, pp. 142-148, Nov. 25-29, 2012, Naples, Italy.

[125] Berbar, M. A., Reyad, Y. A., Hussain, M., “Breast Mass Classification using

Statistical and Local Binary Pattern Features,” Proc. IEEE GMAI 2012-7th

International Conference on Geometric Modeling and Imaging, IEEE Computer

Society Press, pp. 486-490, 11-13 July 2012, Montpellier, France.

[126] Hussain, M., Khan, S., Muhammad, G., and Bebis, G., “Mass Detection in Digital

Mammograms using Gabor Filter Bank,” Proc. IET Image Processing, July 2~3,

2012, London, UK.

[127] Muhammad, G., Hussain, M., Mirza, A. M., and Bebis, G., “Dyadic wavelets and

DCT based blind copy-move image forgery detection,” Proc. IET Image Processing,

July 3~4, 2012, London, UK.

[128] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., , Mirza, A. M., Aboalsamh,

H., “Race Recognition using Local Descriptors,” Proc. 37th IEEE ICASSP 2012, pp.

1525 – 1528, March 25~30, 2012, Kyoto, Japan.

[129] Hussain, M., Khan, N., “Automatic Mass Detection in Mammograms using

Multiscale Spatial Weber Local Descriptor,” Proc. 19th IEEE IWSSIP 2012, pp. 288-

291, April 11~14, Vienna, Austria.

[130] Ihsan Ullah, Hussain, M., Muhammad, G., Aboalsamh, H., Bebis, G., and Mirza, A.

M., “Gender Recognition from Face Images with Local WLD Descriptor,” Proc. 19th

IEEE IWSSIP 2012, pp. 417 – 420, April 11~14, Vienna, Austria.

Muhammad Hussain

23

[131] Muhammad, G., Hussain, M., Alenezy, F., Bebis, G., Mirza, A. M., and Aboalsamh,

H., “Race Recognition from Face Images Using Weber Local Descriptor,” Proc. 19th

IEEE IWSSIP 2012, pp. 421 - 424, April 11~14, Vienna, Austria.

[132] Kausar, N., Samir, B. B., Sulaiman, S. B., Ahmad, I., Hussain, M., “An Approach

towards Intrusion Detection using PCA Feature Subsets and SVM,” Proc. ICCIS

2012-International Conference on Computer & Information Sciences, IEEE

Computer Society Press, pp. 569-574, June 12-12, 2012, Kuala Lumpur, Malaysia.

[133] Gumaei, A., El-Zaart, A., Hussain, M., Berbar, M., “Breast Segmentation using K-means

Algorithm with A Mixture of Gamma Distributions,” RELABIRA 2012, IEEE

Computer Society Press, pp. 97-102, May 28-29, 2012, Lebanon.

[134] Hussain, M., Summrina K. W., Elzaart, A., Berbar, M. A., “Comparison of SVM

Kernel Functions for Breast Cancer Detection,” Proc. CGIV2011, IEEE Computer

Society Press, pp. 145-150, August 17-19, 2011, Singapore.

[135] Najah M., Hussain, M., Ghulam M., and Bebis, G., “Copy-move forgery detection

using dyadic wavalet transform” Proc. CGIV2011, IEEE Computer Society Press, pp.

103-108, August 17-19, 2011, Singapore.

[136] Muhammad, G., Hussain, M., Khawaji, K., and Bebis. G., “Blind Copy Move Image

Forgery Detection using Dyadic Wavelet Transform,” Proc. DSP 2011-17th

International Conference on Digital Signal Processing, IEEE Computer Society, pp.

1-6, July 6-8, 2011, Corfu, Greece.

[137] Ahmad, I., Abdullah, A., Alghamdi, A., Hussain, M., Al-Nafjan, K., “Features

Subset Selection for Network Intrusion Detection Mechanism Using Genetic Eigen

Vectors,” Proc. ICTTA 2011-International Conference on Telecommunication

Technology and Applications, pp. 75-79, May 2-4, 2011, Sydney, Australia.

[138] Kausar, N., Samir, B. B., Abdullah, A., Ahmad, I., Hussain, M., “Improving

Intrusion Detection Using an Optimized Approach of SVM,” Proc. HONET 2011-8th

International Conference on High-capacity Optical Networks and Emerging

Technologies, December 19-21 2011, Riyadh, KSA.

[139] Kausar, N., Samir, B. B., Abdullah, A., Ahmed, I., Hussain, M., “An Overview of

Network Attacks for Developing Intrusion Detection Mechanism,” Proc. WCIT-2011,

Procedia-Computer Science, Elsevier, November 22-27, 2011, Antalya, Turkey.

[140] Amayeh, G., Bebis, G., and Hussain, M., “A Comparative Study of Hand

Recognition Systems,” Proc. ETCHB-2010, IEEE Computer Society, pp. 1-6, August

2010, Istanbul, Turkey.

[141] Alsaaran, H., Hussain, M., “Simplification of Polygonal Models for Distributed

Visualization,” Proc. GMAI09, IEEE Computer Scociety, pp. 241-246, 15 - 17 July

2009, Barcelona, Spain.

Muhammad Hussain

24

[142] Hussain, M, “A Comparision of Efficient Decimation Algorithms for Polygonal

Models,” Proc. GMAI 2007, IEEE Computer Society, pp. 67-72, July 4-6, 2007,

Zurich, Switzerland.

[143] Hussain, M., Okada, Y., and Niijima, K., “Multilevel Edge Detection,” Proc. ISSPA

2005-8th International Symposium on Signal Processing and its Applications, IEEE

Computer Society, August 28-31, 2005, Sydney, Australia

[144] Hussain, M., Okada, Y., and Niijima, K., “Convertion of Polygonal Surfaces to

Displaced Subdivision Surfaces,” Proc. GMVAG2005, July 21-26, 2005, Salt Lake

City, Utah, USA.

[145] Hussain, M., Okada, Y., and Niijima, K., “User-Controlled Simplification of

Polygonal Model,” Proc. 3DPVT04-2nd International Symposium on 3D data

Processing, Visualization, and Transmission, IEEE Computer Society, pp. 918-925,

September 6-9, 2004, Thessaloniki, Greece.

[146] Hussain, M., Okada, Y., and Niijima, K., “A Unified Framework for User-

Controlled Simplification,” Proc. CGIV04-International Conference on Computer

Graphics, Imaging, and Visalization, IEEE Computer Society Press, July 27-29,

2004, Penang, Malaysia.

[147] Hussain, M., Okada, Y., and Niijima, K., “LOD modeling of polygonal models

based on multiple choice optimization,” Proc. MMM2004-10th International Multi-

Media Modelling Conference, IEEE Computer Society Press, pp. 203-210, January 5-

7, 2004, Brisbane, Australia.

[148] Hussain, M., Okada, Y., and Niijima, K., “A Fast and Memory-efficient Method for

LOD Modeling of Polygonal Models,” Proc. GMAG03-2003 International

Conference on Geometric Modeling and Graphics 2003, IEEE Computer Society

Press, pp. 137-142, July 2003, London, UK.

[149] Hussain, M., Okada, Y., and Niijima, K., “Displaced Subdivision Meshes,” Proc.

MSO03-International Conference on Modeling, Simulation and Optimization, pp.

214-219, June 2003, Banff, CANADA.

[150] Hussain, M., Okada, Y., and Niijima, K., “Displaced 3 Subdivision Surfaces,”

Proc. SIACG’02-1st Ibro-American Symposium in Computer Graphics, pp. 17-20,

July 2-5, 2002, Guimaraes, Portugal.

[151] Hussain, M., Okada, Y., and Niijima, K., “Feature Preserving Simplification of

Polygonal Models,” Proc. CISST'02-International Conference on Imaging Science,

Systems, and Technology, pp.791-797, June 24-27, 2002, Las Vegas, USA.

[152] Hussain, M., Okada, Y., and Niijima, K., “Efficient Simplification of Polygonal

Surface Models,” Proc. IV2001-5th International Conference on Information

Muhammad Hussain

25

Visualization 2001, IEEE Computer Society Press, pp. 464-469, July 2001, London,

UK.

[153] Hussain, M., Okada, Y., and Niijima, K., “Fast, Simple and Memory Efficient Mesh

Simplification,” Proc. CGIM2001-4th International Conference on Computer

Graphics and Imaging, pp. 72-77, August 2001, Hawaii, USA.

[154] Sarfraz, M., Habib, Z., Hussain, M., “Piecewise Interpolation for designing of

Parametric Curves,” Proc. IV’98-2nd International Conference on Information

Visualization, IEEE Computer Society Press, pp. 307-313, August 1998, London,

UK.

[155] Sarfraz, M., Hussain, M., Siddiqi S.S., Ali, J. M., “Designing with Rational Cubic

Splines,” Proc. International Conference on the Applications of Numerical Methods

in Engineering, pp. 520-526, Malaysia.

[156] Sarfraz, M., Hussain, M., Habib, Z., “Local Convexity Preserving Rational Cubic

Spline Curves,” Proc. IV’97-1st International Conference on Information

Visualization, IEEE Computer Society Press, pp. 211-217, August 1997, London UK.

[157] Sarfraz, M., Hussain, M., “A Rational Quadratic B-Spline Method with Shape

Control,” Proc. ISCIS1995-10th International Symposium on Computer and

Information Sciences, IEEE Computer Society Press, pp. 573-580, October-

November 1995, Izmir, Turkey.

[158] Hussain, M, George Bebis, Ghulam Muhammad, Anwar M. Mirza, Category

Specific Face Recognition, NPST, King Saud University, Riyadh, Report No. 10-

INF1044-02, July 2013.

[159] Hussain, M, Ali El-Zaart and Mohamed Berbar, Computer Aided Diagnosis System

for Breast Cancer Detection, NPST, King Saud University, Riyadh, Report No. 08-

INF325-02, Jan 2013.

[160] Hussain, M, LOD Modeling of Real 3D Objects. Research centr, King Saud

University, Riyadh, Report No. RC4/427-428, May, 2008.

[161] Hussain, M. Simplification and Refinement for Hierarchical Structure of Triangular

Meshes. Ph. D. Thesis, Kyushu University, Japan, 2003.

[162] Hussain, M. Rational Quadratic B-Spline Curves and Surfaces for use in Computer

Graphics. M.Phil. Thesis, Punjab University, Pakistan, 1993.

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Dr. MUHAMMAD HUSSAINfac.ksu.edu.sa › sites › default › files › cv_drmhussain.pdfMuhammad Hussain 5 o Muhammad Nadeem Ashraf, Automatic Screening of Diabetic Retinopathy at