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Name Dr. Muhammad Javed Iqbal
Designation Assistant Professor
Department Computer Science (Taxila)
Highest Qualification Ph.D. Information Technology, Universiti Teknologi PETRONAS, Malaysia
Specialization Artificial Intelligence, Machine Learning, Pattern Recognition,Computational Intelligence Algorithms for Biological Data Classification and Big Data Mining
Phone No 051-9047854
Cell No
Fax No
Email [email protected]

2011-2015

PhD Information Technology with specialization in Machine Learning, Data Science, Pattern Recognition and Deep Learning.

Universiti Teknologi PETRONAS, Malaysia

2004-2008

M.S. / M.Phil Computer  Science with specialization in Machine Learning.

International Islamic University, Islamabad

1999-2002

M.Sc. Computer Science

University of Agriculture, Faisalabad

1997-1999

B.Sc. Math(A+B), Physics

Bahauddin Zikariya University, Multan

1995-1997

F.Sc.(Pre-Engineering)  B.I.S.E. Multan

1993-1995

Matric(Science group)  B.I.S.E. Multan

Machine Learning, Data Science, Pattern Recognition and Deep Learning; 

Computational Intelligence Algorithms for Biological Data Classification, Bioinformatics and Big Data Mining.

Journals

  1. Awais, M., Iqbal, M. J., Ahmad, I., Alassafi, M. O., Alghamdi, R., Basheri, M., & Waqas, M. (2019). Real-Time Surveillance Through Face Recognition Using HOG and Feedforward Neural Networks. IEEE Access, 7, 121236-121244.
  2. Iqbal, M. J., I. Faye, B. B. Samir and A. Md Said (2014). "Computational Technique for Efficient Classification of Protein Sequences with Distance Based Feature Encoding" Computational Intelligence Wiley-Blackwell 2015: 12 (IF=0.78).
  3. Iqbal, M. J., I. Faye, B. B. Samir and A. Md Said (2014). "Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics" The Scientific World Journal 2014: 12 (IF 1.21(2014)).
  4. I. Ahmad, M. Basheri, M. J. Iqbal and A. Rahim, "Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection," in IEEE Access, vol. 6, pp. 33789-33795, 2018. (IF 4.098).
  5. M. Z. Din, S. M. Adnan, M. J. Iqbal, W. Ahmad, S. Aziz, J. Rashid, W. Ismail, Classification of Disease in Tomato Plants' Leaf Using Image Segmentation and SVM, Technical Journal, University of Engineering and Technology (UET) Taxila, Pakistan Vol. 23 No. 2-2018.
  6. JI Muhammad, Rizwan Rashid, Asif Nawaz, A survey on sentiment classification algorithms, challenges and applications, Acta Universitatis Sapientiae, Informatica, Vol 10, 1-2018.
  7. M. Bakhsh, I. Ahmad, M. Javed. Iqbal, and A. A. Alelaiwi, "An assessment of authentication and key management protocol of IEEE 802.16d (WIMAX) Wireless Mesh Networks" Information (Japan), vol. 16, pp. 3005-3012, 2013.
  8. Shakeela Bibi, Javed Iqbal, Adnan Iftekhar, Analysis of Compression Techniques for DNA Sequence Data, EUROPEAN ACADEMIC RESEARCH, Vol. 6 No. 1-2018

Book Chapter

  1. Bakhsh, Muhammad, Amjad Mahmood, Nazir A. Sangi and Muhammad Javed Iqbal. "M-Learning Acceptance Among Faculty and Students in Pakistan: A Structural Equation Modeling." Structural Equation Modeling Approaches to E-Service Adoption. IGI Global, 2019. 187-221.
  2. Iqbal, M. J., I. Faye, A. Said, and B. Samir, "Data Mining of Protein Sequences with Amino Acid Position-Based Feature Encoding Technique" in Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). vol. 285, T. Herawan, M. M. Deris, and J. Abawajy, Eds., ed: Springer Singapore, 2014, pp. 119-126.

Conferences

  1. Asif, Mehmood, Iqbal M. Javed, Hassan Dawood, Ping, Guo, “Computationally Efficient Low Power Neuron Model for Digital Brain” 14th International Conference on Computational Intelligence and Security (CIS) 2018.
  2. Huzaifa Rashid, Nauman Zafar, M Javed Iqbal, Hassan Dawood, Hussain Dawood, “Single Image Dehazing using CNN”, 2018 International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2018.
  3. J Rashid, SM Adnan, M Javed Iqbal, MW Nisar, A Irtaza, SY Arafat, Advertiser's perception of Internet marketing for small and medium enterprises in Pakistan, 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET 2018).
  4. Iqbal, M. J., I. Faye, A. Said, and B. Samir, “Classification of GPCRs Proteins Using a Statistical Encoding Method”, IEEE IJCNN 2016.
  5. Iqbal, M. J., I. Faye, A. Said, and B. Samir, “Optimized Tree-Classification Algorithm for the Classification of Protein Sequences”, in IEEE International Symposium on Mathematical Sciences and Computing (iSMSC) 2015.
  6. Iqbal, M. J., I. Faye, A. Said, and B. Samir, “Computational Intelligence Techniques for Biological Data Mining: An Overview”, in the proceedings of 3rd International Conference on Fundamental and Applied Sciences (ICFAS2014), UTP ESTCON 2014.
  7. Iqbal, M. J., I. Faye, A. Said, and B. Samir, “An Efficient Computational Intelligence Technique for Classification of Protein Sequences” in the proceedings of Second International Conference on Computer and Information Sciences, ICCOINs 2014 UTP ESTCON 2014.
  8. Iqbal, M. J., I. Faye, A. Said, and B. Samir, “A Distance-Based Feature-Encoding Technique for Protein Sequence Classification in Bioinformatics”, in Proceedings of IEEE 2013 International Conference on Computational Intelligence and Cybernetics (IEEE CyberneticsCom 2013.
  1. Principal Investigator of NRPU 2016 research funding of approximately 2.3 Million PKR.
  2. Principal Investigator of a PG Research Project of worth 500,000 PKR titled” Big Data Analysis & Visualization using State of Art Machine Learning Techniques”

Jan 2016- Present

Assistant Professor Computer Science, University of Engineering & Technology (UET), Taxila

July 2015-Jan 2016

Assistant Professor Computer Science, COMSATS Institute of Information Technology (CIIT) Wah Campus, Wah Cantt

2011-2015

Undergraduate Tutor at Universiti Teknologi PETRONAS, Malaysia

2010- 2011

 Lecturer Computer Science at University of Wah, Wah Cant

2010- 2011

Visiting Lecturer Computer Science at Federal Urdu University of Arts, Science and Technology (FUUAST) Islamabad

2008- 2010

IT Training Officer  at Islamabad Model College for Girls(Post Graduate), F-7/2 Islamabad

2006- 2008

 IT Training Officer at  Akhtar Hameed Khan National Centre for Rural Development & MA Islamabad

2005- 2006

Network Support Engineer at Network Administration and Research Center, University of Engineering and Technology Taxila

2004-2005

Lecturer Computer Science at Mohi-ud-Din Islamic University, Islamabad Campus        

2002- 2004

Lecturer Computer Science at Govt. Degree College Attock

Postraudate and Underraduate Classes.

Awarded with the SILVER medals in Science and Engineering Design Exhibition twice (SEDEX 32 & 33) with the best researcher with research titles “An Efficient Computational Intelligence Technique for Protein Sequence Classification in Bioinformatics” and “Computational Intelligence Model for Biological Data Mining” organised by Universiti Teknologi PETRONAS, Malaysia.

  • International Conference on Advanced Data and Information Engineering (DaEng-2013)
  • 14th International Conference on Computational Intelligence and Security (CIS) 2018.
  • International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2018.
  • 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET 2018).
  • International Joint Conference on Neural Networks (IJCNN)
  • IEEE International Symposium on Mathematical Sciences and Computing (iSMSC) 2015.
  • International Conference on Fundamental and Applied Sciences (ICFAS2014), UTP ESTCON 2014.
  • International Conference on Computer and Information Sciences, ICCOINs 2014 UTP ESTCON 2014.
  • IEEE 2013 International Conference on Computational Intelligence and Cybernetics (IEEE CyberneticsCom 2013 Indonesia
  • Deep Learning Based Cursive Script Detection and Recognition in Outdoor Roads Environment.
  • An Efficient Computational Model of Biological Neuron of Human Brain.
  • Optimized Gene Selection and Classification of Cancer from Microarray Gene Expression Data Using Deep Learning
  • Insightful Predictions and visual analytics of Biological Inspired Data.
  • Design and Development of an Intelligent Real-Time Security and Surveillance System for Smart Public/Private Organizations
  • Stock Value Prediction and Classification Using State of the Art Machine Learning Techniques
  • Grammatical Evolution of Neural Networks for Forecasting the Stock Price and Volume
  • Prediction and classification of Cardiovascular and Thyroid Disease using Risk Factors
  • Sentiment Analysis of the popular Social Media Networks.
  • Recommender System for Gender Prediction from Text.
  • Natural Language Processing for handling Structured and Unstructured Data.
  • Instructor of the two days short course on pattern recognition for biomedical applications organized by Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Malaysia.
  • One Week Workshop on Big Data Analytics and Cloud Computing for High Performance Computing at Universiti Teknologi PETRONAS, Malaysia.
  • Five days Training on state of the art Techniques of Machine Learning and Pattern Recognition for Analysis and Predictions at Universiti Teknologi Malaysia.
  • Workshop on Data Science and Future Predictions at COMSATS Institute of Information Technology Wah Cantt.
  • Two Days Workshop on Outcome Based Education (OBE) for Technologist and Graduate Assistant on 19th December, Universiti Teknologi PETRONAS, Malaysia.
  • Three days Training Course on PC2 Software Training at Universiti Teknologi PETRONAS, Malaysia.
  • Analsysis of Next Generation Sequencing Data at COMSATS Institute of Information Technology Islamabad Campus