Dr. Muhammad Amjad Iqbal

Associate Professor University of Central Punjab, Lahore, Pakistan
Phone: 0333 8044 344
Email:

Objective / To apply my knowledge towards betterment of society by working in a dynamic organization under the visionary leadership
Education / 2005-2010 NUCES, FAST Islamabad
PhD Computer Science
Thesis Title: “Function Optimization and Clustering using Computational Intelligence Techniques
Under supervision of Dr. A. Rauf Baig with major focus on
  • Computational Intelligence
  • Multimodal Function Optimization
  • Data Clustering
  • Image Segmentation
2000-2003BZ UniversityMultan
M.Sc.(Computer Science)
Publications / International Journal Accepted Papers
  1. Khawaja Tehseen Ahmad, Muhammad Amjad Iqbal, “Region and Texture Based Effective Image Extraction”, Cluster Computing, Springer, (Accepted), [Impact Factor 1.514]
  2. Khawaja Tehseen Ahmad, AunIrtaza, Muhammad Amjad Iqbal, ‘Fusion of Local and Global Features for Effective Image Extraction’, Journal of Applied Intelligence, April 2017, Springer, (Accepted), [Impact Factor 1.215]
  3. Ghulam Ali, Muhammad Amjad Iqbal, Tae-Sun Choi, “Boosted NNE Collections for Multicultural Facial Expression RecognitionPattern Recognition”, Pattern Recognition,Elseveir, [Impact Factor 3.096, JCR 2015].
  4. Ghulam Ali, Muhammad Amjad Iqbal. (2016). Neural Network Ensemble Collections for Multi-View Facial Expression Recognition. Journal of Convergence Information Technology.[ISI indexed]
  5. Muhammad Amjad Iqbal, Naveed Kazim Khan, Hassan Mujtaba, A. Rauf Baig, “A Novel Function Optimization Approach using Opposition based Genetic Algorithm with Gene Excitation”, International Journal of Innovative Computing, Information and Control (IJICIC indexed by ISI) Issue 7, No. 7, March 2011 [Impact factor 2.93, JCR 2011].
  6. M. ArfanJaffar, Muhammad Amjad Iqbal, Ayyaz Hussain, A. Rauf Baig, Anwar M. Mirza, “Genetic Fuzzy based Automatic Lungs Segmentation from CT scans Images” International Journal of Innovative Computing, Information and Control (IJICIC indexed by ISI) Issue 7, No. 4, March 2011 [Impact factor 2.93, JCR 2011].
  7. Hasan Mujtaba, Rauf Baig, Zahid Halim and Muhammad Amjad Iqbal, “Self-Motivated and Task-Oriented, Multi-Dimensional Learning in a Dynamic and Uncertain Environment without Human intervention”,International Journal of Innovative Computing, Information and Control (IJICIC indexed by ISI) Issue 7, No. 4, April 2011 [Impact factor 2.93, JCR 2011]
  8. Muhammad Ramzan,M. Qasim, M. Amjad Iqbal, ArfanJaffar, Sajid Anwar, “A Genetic Algorithm based Approach for Conflicts Resolution in Requirements”, International Journal of the Physical Sciences (IJPS) Volume 6, No. 4 (Indexed by ISI Impact Factor 0.48, JCR 2010)
  9. Muhammad Ramzan, M. ArfanJaffar, M. Amjad Iqbal,Sajid Anwar, Abdul Rauf, Arshad A. Shahid, “Value Based Conflict Identification and Resolution in Project Management using Genetic Algorithms”, Springer Journal of Telecommunication Systems, (indexed by ISI Impact factor 0.396, JCR 2012)
  10. Naveed Kazim Khan, Abdul Rauf Baig, Muhammad Amjad Iqbal, “Opposition-Based Discrete PSO Using Natural Encoding for Classification Rule Discovery”,IntJAdvRoboticSy9(191), 2012[Impact Factor 0.375, JCR 2012]
  11. Muhammad Aasim Qureshi, MohdFadzil Hassan, SohailSafdar, Rehan Akbar, Amjad Iqbal, Evolutionary Improvements in Time Complexity of Dijkstra’s Algorithm (A Survey), International Journal of Computer Science and Information Security (IJCSIS), Vol 15, No. 1
International Journal Submitted Papers
  1. Ghulam Ali and Muhammad Amjad Iqbal. (2016). “Naive Bayes Meta Classifier for Facial Expression Recognition”, Malaysian Journal of Computer Science.
  2. Ghulam Ali and Muhammad Amjad Iqbal. (2016). “Cross-Cultural Facial Expressions Analysis Based on Random Support Vector Machine Ensemble Collections”, ACM Transactions on Intelligent Systems and Technology.
  3. Ghulam Ali, Muhammad Amjad Iqbal and Khawaja Tehseen Ahmed. (2016). “A Meta-Learning Approach for Cross-Cultural Facial Expression Analysis”, International Arab Journal of Information Technology.
  4. Ghulam Ali and Muhammad Amjad Iqbal. (2016). “Artificial Neural Network Based Ensemble Approach for Multi-Culture Emotions Analysis”, International Journal of Pattern Recognition and Artificial Intelligence.
International Conferences Accepted Papers
  1. Abdul Wahab, Adnan Abid, Muhammad Amjad Iqbal, Cognitive Storage Model and Mapping with Classical Data Structures, ICCSS-2013, Merdan, Pakistan.
  2. Ghulam Ali, Muhammad Amjad Iqbal, Binary Neural Network for Human Emotions Classification, CSAE 2013, Guangzhou, China.
  3. Muhammad Amjad Iqbal, Naveed Kazim Khan, SheerazAkram, A. Rauf Baig , “Hybrid Mutation based Evolutionary approach for Function Optimization”, International Conference on Computer Sciences and Convergence Information Technology (ICCIT-2012), Jeju Island, Korea.
  4. Muhammad Amjad Iqbal, A. Rauf Baig, “Opposition based Genetic Algorithm with Cauchy Mutation for Function Optimization” International Conference on Information Science and Applications (ICISA) 2010 Seoul, Korea.
  5. Muhammad Ramzan, ArfanJaffar, Abdul Rauf, Muhammad Amjad Iqbal, Arshad Ali Shahid, “Genetic Algorithm Based Project Scheduling”, International Conference on Information Science and Applications (ICISA) 2010 Seoul, Korea.
  6. Kazim Khan Naveed, Iqbal Muhammad Amjad,Baig Abdul Rauf, “A New Discrete PSO for Data Classification”, International Conference on Information Science and Applications (ICISA) 2010, Seoul, Korea.
  7. MuhammadJamilAnwar, Muhammad Ishtiaq, M Amjad Iqbal, M ArfanJaffar, Block-based digital image watermarking using Genetic Algorithm, Emerging Technologies (ICET), 2010 6th International Conference on, 204-209, IEEE, 2010
  8. Muhammad Ramzan, M. ArfanJaffar, Sajid Anwar, Muhammad Amjad Iqbal, Arshad Ali Shahid, “Value Based Fuzzy Requirement Prioritization and its Evaluation Framework”,ICICIC 2009, Taiwan.
  9. Muhammad Rashid, A. Rauf Baig, and Muhammad Amjad Iqbal, “Honey Bee Foraging PSO Algorithm with Self-Adjusting Neighborhood Size”, International Conference on Advanced Computer Theory and Engineering, ICATE, 2009.
  10. M. ArfanJaffar, Qurat-ul-Ain, Sohail Masood, Muhammad Amjad Iqbal, Arshad Javed and Anwar M. Mirza, “Fuzzy Curvelet based Fully Automated Segmentation of Brain from MRI images” International Conference on Computer Science and its Applications, 2009.
  11. Naveed Kazim Khan, Muhammad Amjad Iqbal , A. Rauf Baig, “Data Mining by Discrete PSO using Natural Encoding”, FutureTech2010, Korea.
International Conference Submitted Papers
  1. Ghulam Ali and Muhammad Amjad Iqbal. Binary Neural Network Based Ensemble Classifier for Facial Expression Classification. (2016). 5th international conference on Information and Knowledge management, July 22-24, 2016, Beijing, China.
  2. Ghulam Ali and Muhammad Amjad Iqbal. Universal Emotions Classification with Boosted SVM Ensemble collections. 13th International Conference on Informatics in Control, Automation and Robotics. 29-31 July 2016. Lisbon, Portugal.

Experience / April 2014-June 2015 Research Professor, Signal and Image Processing Lab SIPL, Gwangju Institute of Science and Technology GIST, Gwangju, South Korea
2010-Current Faculty of IT, University of Central Punjab(UCP) Lahore
Associate Professor
Major course taught during my tenure at UCP so far include:
  • Dynamic Modeling
  • Data Mining
  • Machine Learning
  • Design and Analysis of Algorithms
  • Neural Networks
  • Artificial Intelligence
  • Digital Image Processing
2009-2010 UIIT, PMAS-Arid Agri. University, Rawalpindi
Assistant Professor
Major course taught during my tenure at UIIT so far include:
  • Distributed Database Systems
  • Operating Systems
  • Theory of Automata
  • Computer Communication and Networks
  • Data Structure and Algorithms
Visiting Faculty Member
2008-2009 NUCES, FAST, Islamabad
2008–2009Fatima Jinnah Women University Rawalpindi
2006–2007Federal Urdu University Islamabad
2007– 2008Bahria University Islamabad
Fall 2007IBMS, Agriculture University Peshawar
2003–2007Govt. P. G. College(W), 6th Road Rawalpindi
Thesis Supervised / PhD Thesis
Machine Learning based Approach for Facial Expressions Classification, Ghulam Ali, ThesisUnder Foreign/Local Review
Image Extraction Using Feature Vectors, KhawjaTehseen Ahmad, Proposal Stage
MS Thesis
Imran Raza, 2014, Data Mining Using Intelligent Systems: A Hybrid Model based on Neighborhood Rough Sets for Hybrid Data Processing, Completed
Jamil Anwar, 2010 Robust and Imperceptible watermarking of video streams using computational Intelligence Techniques, Completed
S. M. Naqi, 2010, Bayesian Classification using DCT features for Brain Tumor Detection. Completed
Tahir Mumtaz, Logo Recognition UsingMachine Learning Techniques. Completed
References / References will be furnished as the need arise.