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College of Electrical & Mechanical Engineering  (CEME)
Dr. Usman Qamar
Assistant Professor
Department of Computer & Software Engineering

CE&ME
National University of Sciences and Technology (NUST)
Peshawar Road Rawalpindi
Tel : +92-51-9278050-4141

Specialization
Data Mining, Decision Sciences and Natural Language Processing

Education
Ph.D/Post Doc, UK

Dr Usman Qamar has over 15 years of experience in data engineering and decision sciences both in academia and industry having spent nearly 10 years in the UK. He has a Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil in Computer Systems was a joint degree between UMIST and University of Manchester which focused on feature selection in big data. In 2008/09 he was awarded PhD from University of Manchester, UK. His PhD specialization is in Data Engineering, Knowledge Discovery and Decision Science. His Post PhD work at University of Manchester, involved various research projects including hybrid mechanisms for statistical disclosure (feature selection merged with outlier analysis) for Office of National Statistics (ONS), London, UK, churn prediction for Vodafone UK and customer profile analysis for shopping with the University of Ghent, Belgium. Dr. Qamar also has the honour of being the finalist  of  the British  Council’s International Professional Achievement Award as well   as the recipient of the prestigious Charles Wallace Fellowship.​​

Education

    Post-Doc, University of Manchester, UK, 2011

    PhD, University of Manchester, UK, 2008/09

    MPhil, University of Manchester, UK, 2005

    MS, University of Manchester Institute of Science and Technology (UMIST), UK, 2002

    B.E, National University of Sciences and Technology (NUST), Pakistan, 2001

Professional Profile

    2011- Present: Director, Knowledge and Data Science Research Centre, National University of Sciences and Technolgy (NUST), Pakistan

    2011- Present: Assistant Professor, National University of Sciences and Technolgy (NUST), Pakistan

    2009 – 2011:  Post-Doc, University of Manchester, UK

    2005 – 2009:  Teaching Assistant, University of Manchester, UK

    2003 – 2005:  Lab Demonstrator, University of Manchester Institute of Science and Technology (UMIST), UK


Knowledge and Data Science Research Centre (KDRC) at Department of Computer Engineering, College of Electrical & Mechanical Engineering (CEME), National University of Sciences and Technology (NUST) was established in 2011 to meet the challenges of data-driven and knowledge-driven large-scale intelligent systems for real-world applications and to complement research in other fields. The centre was established by Dr Usman Qamar, who become the founding director of it. The main aim is the analysis, design, implementation and application of several machine learning techniques and methodologies to support the operation or behaviour analysis of real-world complex systems or domains. The research is focused on the analysis, design, management or supervision of these domains, such as in healthcare and bioinformatics, in social and internet-based systems and in the industrial sector.

Evolving around data and information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation. The Centre is developing novel methods and systems for information extraction and retrieval, natural language processing, the use of ontologies for document classification and extraction, data intensive computing, bioinformatics and business intelligence.

Our main areas of research are:

    Big Data

    Natural Language Processing

    Health Sciences

    Counter Terrorism

More Information about the Centre can be found at www.kdrc.live

Publications

    2 Books

    4 Book Chapters

    30 Impact Factor Journal* Publications (74.6 Combined Impact factor*)  *Thomson Reuters Journal Citation Reports

    66 Conference Publications

    2 Technical Reports

Patents

    Application no: GB1614565.8 (applied with Intellectual Property Office, UK)

    Application no: GB1700667.7 (applied with Intellectual Property Office, UK)

Supervision

    3 PhD students successfully supervised

    5 PhD students under supervision

    58 MS students successfully supervised

    8 MS students under supervision

Awards

    PhD Research Fellowship, Engineering and Physical Sciences Research Council (EPSRC), UK

    Finalist for the UK Alumni Awards 2017 in the category of Professional Achievement, held by British Council

    Recipient of Charles Wallace Visiting Fellowship


Books

[104] Data Mining: Here, There & Everywhere by Usman Qamar, Springer & Co, 2017

[103] Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Summair Raza & Usman Qamar, Springer & Co, 2017

Chapters in Book

[102] Hiba Khalid, Mazhar Hameed, Usman Qamar, Evolutionary Testing Using Particle Swarm Optimization in IOT Applications, Lecture Notes in Networks and Systems (2017), Publisher: Springer, ISBN: 978-3-319-56991-8

[101] Sobh Zeb, Usman Qamar, Faiza Hussain, Sentiment Analysis, Web Technologies and Applications (2016), Publisher: Springer, ISBN: 978-3-319-45834-2

[100] Sobia Shafiq, Wasi Haider Butt, Usman Qamar: Attack Type Prediction Using Hybrid Classifier, Advanced Data Mining and Applications (2015), Publisher: Springer, ISBN: 978-3-319-14716-1

[99] Usman Qamar, Recent Advances in Knowledge Engineering and Systems Science, Volume 10 of Recent advances in computer engineering series (2013), Publisher: WSEAS LLC, ISSN: 1790-5109

Impact Factor* Journal Papers

*Thomson Reuters Journal Citation Reports

[98] Summair Raza, Usman Qamar, Redefining Core Preliminary Concepts of Classic Rough Set Theory for Feature Selection, Engineering Applications of Artificial Intelligence, Elsevier, 2017, I.F: 2.98

[97] Saba Bashir, Usman Qamar, Farhan Hassan Khan, WebMAC: A Web based Clinical Expert System, Information Systems Frontiers, Springer, 2016, I.F: 2.51

[96] Farhan Hassan Khan, Usman Qamar, Saba Bashir, A Semi-Supervised Approach to Sentiment Analysis using Revised Sentiment Strength based on SentiWordNet, Knowledge and Information Systems, Springer, 2016, I.F: 2.01

[95] Farhan Hassan Khan, Usman Qamar, Saba Bashir, eSAP: A Decision Support Framework for Enhanced Sentiment Analysis and Polarity Classification, Information Sciences, Elsevier, 2016, I.F: 4.83

[94] Farhan Hassan Khan, Usman Qamar, Saba Bashir, Lexicon based Semantic Detection of Sentiments using Expected Likelihood Estimate Smoothed Odds Ratio, Artificial Intelligence Review, Springer, 2016, I.F: 2.62

[93] Asad Bukhari, Usman Qamar, Ume Ghazia, URWF: User Reputation based Weightage Framework for Twitter Micropost Classification, Information Systems and e-Business Management, Springer, 2016, IF: 1.72

[92] Farhan Hassan Khan, Usman Qamar, Saba Bashir, Senti-CS: Building a Lexical Resource for Sentiment Analysis using the Subjective Feature Selection and Normalized Chi-Square based Feature Weight Generation, Expert Systems,  Wiley & Co, 2016, IF: 1.18

[91] Farhan Hassan Khan, Usman Qamar, Saba Bashir, SWIMS: Semi-Supervised Subjective Feature Weighting and Intelligent Model Selection for Sentiment Analysis, Knowledge-Based Systems, Elsevier, 2016, I.F: 4.52

[90] Farhan Hassan Khan, Usman Qamar, Saba Bashir, Multi-Objective Model Selection (MOMS) based Semi-Supervised Framework for Sentiment Analysis, Cognitive Computation, Springer, 2016, I.F: 3.44

[89] Saba Bashir, Usman Qamar, Farhan Hassan Khan, Lubna Naseem, HMV: A decision support framework using multi-layer classifiers for disease prediction, Journal of Computational Science, Elsevier, 2016, I.F: 1.74

[88] Muhammad Summair Raza, Usman Qamar, An incremental dependency calculation technique for feature selection using rough sets, Information Sciences, Elsevier, 2016, I.F: 4.81

[87] Saba Bashir, Usman Qamar, Farhan Hassan Khan, IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework, Journal of Biomedical Informatics, Elsevier, 2015, I.F: 2.75

[86] Farhan Hassan Khan, Usman Qamar, Saba Bashir, SentiMI: Introducing Point-wise Mutual Information with SentiWordNet to Improve Sentiment Polarity Detection, Applied Soft Computing, Elsevier, 2015, I.F: 3.54

[85] Abdul Wahab Muzaffar, Farooque Azam, Usman Qamar, A Relation Extraction Framework for Biomedical Text using Hybrid Feature Set, Computational and Mathematical Methods in Medicine, 2015, I.F: 0.93

[84] Usman Qamar, Rozina Nisa, Saba Bashir, Farhan Hassan Khan, A Majority Vote based Classifier Ensemble for Web Service Classification, Business & Information Systems Engineering, Springer, 2015, IF: 3.39

[83] Sheeraz Akram, Younus Javed, Usman Akram, Usman Qamar, Ali Hassan, Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images, Journal of Medical Imaging and Health Informatics, 2015, IF: 0.877

[82] Farhan Hassan Khan, Usman Qamar, Saba Bashir, Building normalized sentiMI to enhance semi-supervised sentimen9t analysis, Journal of Intelligent and Fuzzy Systems, 2015, IOS Press, IF: 1.8

[81] Saba Bashir, Usman Qamar, Farhan Hassan Khan, A Multi-Objective Optimization Framework for Heart Disease Prediction using Weighted Vote based Classifier Ensemble, Computational Intelligence, Wiley & Co, 2015, IF: 1.00

[80] Saba Bashir, Usman Qamar, Farhan Hassan Khan: BagMOOV, A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting. Australasian physical & engineering sciences in medicine / supported by the Australasian College of Physical Scientists in Medicine and the Australasian Association of Physical Sciences in Medicine, Springer, 2015, IF: 1.17

[79] Aqdas Ikram, Usman Qamar, Developing an expert system based on association rules and predicate logic for earthquake prediction, Knowledge based Systems, Elsevier, 2015, IF: 4.51

[78] Abid Hussain, Nazar A. Saqib, Usman Qamar, Muhammad Zia, Hassan Mahmood, Protocol-Aware Radio Frequency Jamming in Wi-Fi and Commercial Wireless Networks, Journal of Communications and Networks, IEEE, 16(4):397-406, 2014, IF: 1.0

[77] Saba Bashir, Usman Qamar, Farhan Hassan Khan, Younus Javed, MV5: A Clinical Decision Support Framework for Heart Disease Prediction using Majority Vote based Classifier Ensemble. Arabian Journal for Science and Engineering, Springer, 08/2014, IF: 0.865

[76] Saba Bashir, Usman Qamar, Farhan Hassan Khan, Heterogeneous Classifiers Fusion for Dynamic Breast Cancer Diagnosis using Weighted Vote based Ensemble, Quality and Quantity, Springer, 08/2014, IF: 1.1

[75] Rozina Nisa, Usman Qamar, A Text Mining based Approach for Web Service Classification, Information Systems and e-Business Management, Springer, 07/2104, IF: 1.73

[74] Sheeraz Akram, Muhammad Younus Javed, Usman Qamar, Aasia Khanum, Ali Hassan, Artificial Neural Network based Classification of Lungs Nodule using Hybrid Features from Computerized Tomographic Images. Applied Mathematics & Information Sciences, Volume 9, No. 1, pp:183-195, 2014, IF: 1.232

[73] Aqdas Ikram, Usman Qamar, A rule-based expert system for earthquake prediction. Journal of Intelligent Information Systems, Springer, Volume 43, Issue 2, pp 205-230, 2014, IF: 1.29

[72] Hina Anwar, Usman Qamar, Abdul Wahab Muzaffar Qureshi, Global Optimization Ensemble Model for Classification Methods. The Scientific World Journal, 04/2014. IF: 1.3

[71] Farhan Hassan Khan, Saba Bashir, Usman Qamar, TOM, Twitter opinion mining framework using hybrid classification scheme, Decision Support Systems, Elsevier, Volume 57, January 2014, Pages 245–257. IF: 3.22

[70] Riaz, F. ; Hassan, A. ; Rehman, S. ; Qamar, U., Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features, IEEE Signal Processing Letters, Volume: 20 , Issue: 2013 , Page(s): 607 – 610. IF: 1.66

[69] Usman Qamar, A dissimilarity measure based Fuzzy c-means (FCM) clustering algorithm, Journal of Intelligent and Fuzzy Systems, Volume 26, Number 1, Pages 229-238, IOS Press, 2013, IF: 1.812

Conference Papers:

[68] Sara Tanvir, Mamoona Safdar, Hanny Tufail, Usman Qamar, Merging Prototyping with Agile Software Development Methodology, International Conference on Engineering, Computing & Information Technology, Kuala Lumpur, Malaysia, 10/2017

[67] Adnan Ullah, Usman Qamar, Farhan Hassan Khan, Dimensionality Reduction Approaches and Evolving Challenges in High Dimensional Data, ACM International Conference on Internet of Things and Machine Learning (IML 2017), Liverpool, UK, 10/2017

[66] Shaista Sabir, Usman Qamar, Tanveer Ahmed, Mubashir zafar Ali, A preconception Gender assessment using Data Mining Techniques based on Implementation of Natural Laws & Favoring Factors, ACM International Conference on Internet of Things and Machine Learning (IML 2017), Liverpool, UK, 10/2017

[65] Sadaf Sahar, Usman Qamar, Sadaf Ayaz, Multi Layer Neural Network and Fuzzy Logic Based Software Quality Prediction, 19th International Conference on Software Engineering Ethics, Safe, Reliable and Quality Software, London, UK, 09/2017

[64] Qadeem Khan, Usman Qamar, Wasi Haider Butt, Saad Rehman, Dataset Designing of Software Architectures Styles for Analysis through Data Mining Clustering Algorithms, IEEE Intelligent Systems Conference (IntelliSys 2017), London, UK, 09/2017

[63] Amna Noreen, Usman Qamar, Semantic Analysis of Social Media and Associated Psychotic Behavior, 13th IEEE International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017), Guilin, China, 07/2017

[62] Hiba Khalid, Usman Qamar, Mazhar Hameed, Multi-Perspective Ant Colony Optimization for mining and understanding the topology oriented Big Data, 25th World Congress on Engineering (WCE 2017), London, UK, 07/2017

[61] Hiba Khalid, Mazhar Hameed, Usman Qamar, Kizer Abbas, Optimizing Software Project Management Staffing and Work-force Deployment Processes using Swarm Intelligence, IEEE Computing Conference, London, UK, 07/2017

[60] Sundus Ayyaz, Usman Qamar, Improving Collaborative Filtering by Selecting an Effective User Neighborhood for Recommender Systems, 18th IEEE International Conference on Industrial Technology (ICIT), Toronto, Canada, 03/2017

[59] Aamna Iqtidar, Abdul Wahab Muzaffar, Usman Qamar, Saad Rehman, A Biomedical Ontology on Genetic Disease, ACM International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), Cambridge, UK, 03/2017

[58] Qadeem Khan, Usman Qamar, Wasi Haider Butt, Saad Rehman, Implementation and Evaluation of Optimized Algorithm for Software Architectures Analysis through Unsupervised Learning, 17th IEEE international Conference on Sciences and Techniques of Automatic control & computer engineering (STA2016), Sousse, Tunisia, 12/2016

[57] Muhammad Summair Raza, Usman Qamar, A Rough Set Based Feature Selection Approach using Random Feature Vectors, 14th IEEE International Conference on Frontiers of Information Technology (FIT’16), Islamabad, Pakistan, 12/2016

[56] Bushra Zafar, Usman Qamar, Michael Cochez, Using Distributional Semantics for Automatic Taxonomy Creation, 14th IEEE International Conference on Frontiers of Information Technology (FIT’16), Islamabad, Pakistan, 12/2016

[55] Bushra Zafar, Usman Qamar, Michael Cochez, A Domain-Independent Hybrid Approach for Automatic Taxonomy Induction, 17th IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT-16), Guangzhou, China, 12/2017

[54] Mazhar Hameed, Usman Qamar, Usman Akram, Business Intelligence: Self Adapting and prioritizing database algorithm for providing big data insight in domain knowledge and processing of volume based instructions based on scheduled and contextual shifting of data, IEEE Future Technologies Conference (FTC), San Francisco, United States, 12/2106

[53] Hiba Khalid, Usman Qamar, Usman Akram, Imparting Data Knowledge in discrete data volumes using crowded agent approach for multi-perspective and visualized big data, IEEE Future Technologies Conference (FTC), San Francisco, United States, 12/2106

[52] Faiza Hussain, Sobh Zeb, Usman Qamar, A Novel Approach for Searching Linguistic Synonyms through Parts of Speech Tagging, IEEE/WIC/ACM International Conference on Web Intelligence (WI’16), At Omaha, Nebraska, USA, 10/2016

[51] Saadia Ismail, Majed Alshmari, Usman Qamar, Wasi Haider Butt, Hafiz Farooq Ahmad, HL7 FHIR Compliant Data Access Model for Maternal Health Information System, 6th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2016), Taichung, Taiwan, 10/2016

[50] Sobh Zeb, Usman Qamar, Faiza Hussain, Sentiment Analysis on User Reviews through Lexicon and Rule-based Approach, The 18th Asia Pacific Web Conference, At Suzhou, China, 09/2016

[49] Amna Rahman, Usman Qamar, A Bayesian Classifiers based Combination Model for Automatic Text Classification, 7th IEEE International Conference on Software Engineering and Service Science (ICSESS 2016), Beijing, China, 08/2016

[48] Hiba khalid, Mazhar Hameed, Usman Qamar, Evolutionary testing using particle swarm optimization in IOT applications, IEEE SAI Intelligent Systems Conference 2016 (IntelliSys 2016), London, UK, 08/2016

[47] Faiza Hussain, Usman Qamar, Identification and Correction of Misspelled Drugs’ Names in Electronic Medical Records (EMR), 18th International Conference on Enterprise Information Systems (ICEIS), Rome, Italy, 05/2016

[46] Sundus Ayyaz, Usman Qamar, Automatic Topic Spotting in Biomedical Literature of diseases using Fuzzy Logic, 22nd International Conference on Computer and Information Science and Technology, Ottawa, Canada, 04/2016

[45] Andleeb Shehnaz, Usman Qamar, Abdul Wahab Muzaffar, Building a core biomedical knowledge base, IEEE BigDataService 2016, Oxford, United Kingdom, 04/2016

[44] Muhammad Summair Raza, Usman Qamar, A hybrid feature selection approach based on heuristic and exhaustive algorithms using Rough set theory, ACM Conference on Internet of things and Cloud Computing (ICC 2016), Cambridge, United Kingdom, 03/2016

[43] A.B.N. Alvi, Usman Qamar, Abdul Wahab Muzaffar, Wasi Haider Butt, A Novel Hybrid Classifiers based Model for mining in Neuro-imaging, ACM Conference on Internet of things and Cloud Computing (ICC 2016), Cambridge, United Kingdom, 03/2016

[42] Iqra Basharat, Ali Raz, Mamuna Fatima, Usman Qamar, Shoab Ahmed, A Framework for Classifying Unstructured Data of Cardiac Patients: A Supervised Learning Approach, IEEE SAI Intelligent Systems Conference 2016 (IntelliSys 2016), London, UK, 02/2016

[41] Zahra Khan, Usman Qamar, Text Mining Approach to Detect Spam in Emails, International Conference on Innovations in Intelligent Systems and Computing Technologies (ICIISCT2016), Manila, Philippines, 02/2016

[40]Aisha Ahmad, Anam Shahjahan, Wasi Haider, Usman Qamar, Influence of Key Player Detection and Removal on Efficiency and Performance of Covert Networks using Social Network Analysis, International Conference on Recent Advances in Computer Systems, 01/2016

[39] Samiullah Khan, Usman Qamar, Abdul Wahab Muzaffar Qureshi, A Framework for Evaluation of OWL Biomedical Ontologies based on Properties Coverage, 13th IEEE International Conference on Frontiers of Information Technology (FIT’15), Islamabad, Pakistan; 12/2015

[38] Bakhtawar Seerat, Usman Qamar: Rule Induction Using Enhanced RIPPER Algorithm for Clinical Decision Support System, Sixth IEEE International Conference on Intelligent Control and Information Processing (ICICIP 2015), Wuhan, China; 11/2015

[37] Syed Hasnain Ali, Madiha Guftar, Abdul Wahab Muzaffar, Usman Qamar, A Feature Reduction Framework based on Rough Set for Bio Medical Data Sets, IEEE SAI Intelligent Systems Conference 2015 (IntelliSys 2015), London, UK; 11/2015

[36] Madiha Guftar, Usman Qamar: A Rule based Expert System for Syncope Prediction , IEEE SAI Intelligent Systems Conference 2015 (IntelliSys 2015), London, UK; 11/2015

[35] Aqsa Bajwa, Usman Humayun, Usman Qamar: Framework for incorporating profile networks with recommender systems, 10th International Conference on Computer Science and Information Technologies (CSIT-2015), Yerevan, Armenia; 10/2015

[34] Saira Seemab, Talal Ibrahim, Usman Qamar, Predicting Patient Drop Off by Mining Hospital Data, International Conference on artificial intelligence and computer science 2015 (AICS2015), Malaysia; 10/2015

[33] Usman Humayun, Aqsa Bajwa, Usman Qamar: Framework for incorporating social networks with linkedin systems, 10th International Conference on Computer Science and Information Technologies (CSIT-2015), Yerevan, Armenia; 10/2015

[32] Shahzada Zeeshan Waheed, Usman Qamar: Data Flow Based Test Case Generation Algorithm for Object Oriented Integration Testing IEEE International Conference on Software Engineering and Service Science (ICSESS 2015), Beijing,China; 09/2015

[31] Shoaib Hassan, Usman Qamar, Purification of Requirement Engineering Model for Rapid Application Development, IEEE International Conference on Software Engineering and Service Science 2015 (ICSESS 2015); 09/2015

[30] Waqas Ahmed, Usman Qamar, Analyzing Different Validation and Verification Techniques for Safety Critical Software System, IEEE International Conference on Software Engineering and Service Science 2015, (ICSESS 2015); 09/2015

[29] Muhammad Arslan Idris, Usman Qamar, Automatic Performance Analysis of Cloud based Load Testing of Web-Application & Its Comparison with Traditional Load Testing, IEEE International Conference on Software Engineering and Service Science (ICSESS 2015); 09/2015

[28] Muhammad Zubair Khan, Usman Qamar, Towards Service Evaluation and Ranking Model for cloud Infrastructure Selection, The 7th International Symposium on UbiCom Frontiers – Innovative Research, Systems and Technologies, Beijing, China; 08/2015

[27] Shoaib Hassan, Usman Qamar, Taimoor Hassan, Software Reverse Engineering to Requirement Engineering for evolution of legacy system, IEEE International Conference on IT Convergence and Security 2015 (ICITCS2015), Kuala Lumpur, Malaysia; 08/2015

[26] Abdul Wahab Muzaffar, Farooque Azam, Usman Qamar, Muhammad Latif, Shumyla Rasheed Mir, A Hybrid Approach to Extract and Classify Relation from Biomedical Text, The 14th International Conference on Information & Knowledge Engineering (IKE’15), USA; 07/2015

[25] Kashif Khan, Usman Qamar: Improved Single-Label Text Categorization by Instance Filtration. 9th IEEE International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2015), Blumenau, Brazil: 07/2015

[24] Muhammad Ashraf Khan Niazi, Abdul Wahab Muzaffar, Muhammad Latif, Usman Qamar: Signature Automation of UMLS Concepts: An Un-Supervised Named Entity Recognition Framework for Classification of DNA and RNA in Biological Text. IEEE Science and Information Conference 2015, London, UK.; 07/2015

[23] Madiha Guftar, Ammar Asjad, Hasnain Ali, Usman Qamar: A novel framework for prediction of Syncope disease using CRISP-DM methodology. The 7th International Conference on Future Computer and Communication (ICFCC 2015), Singapore; 05/2015

[22] Fareeha Choudhry, Usman Qamar: Rule Based Inference Engine to forecast the Prevalence of Congenital Malformations in live births. 13th IEEE International Conference on Software Engineering Research, Management and Applications (SERA 2015), Hammamet, Tunisia; 05/2015

[21] Muhammad Latif, Usman Qamar, Abdul Wahab Muzaffar: Content-Specific Unigrams and Syntactic Phrases to Enhance SentiWordNet based Sentiment Classification. 7th International Conference on Machine Learning and Computing (ICMLC 2015), Florence, Italy; 03/2015

[20] Faryal Nosheen, Usman Qamar: Flexibility and Privacy Control By Cookie Management. IEEE Conference on Digital Information, Networking, and Wireless Communications (DINWC2015), University of Synergy, Moscow, Russia.; 02/2015

[19] Sundus Ayyaz, Saad Rehman, Usman Qamar, A Four Method Framework for fighting Software Architecture Erosion, XIII International Conference on Computer Science and Software Engineering, London, UK, 01/2015

[18] Musarrat Hussain, Zahoor Ahmad, Abdur Rehman, Usman Qamar: Impact Minimization of Requirements Change in Software Project through Requirements Classification. ACM 9th Annual International Conference on Ubiquitous Information Management and Communication (IMCOM 2015), Bali, Indonesia.; 01/2015

[17] Aniqa Azam, Usman Akram, Usman Qamar, Optic Disc Segmentation from Colored Retinal Images using Vessel Density, 12th International Conference on Frontiers of Information Technology (FIT), Islamabad Pakistan; 12/2014

[16] Saba Bashir, Usman Qamar, Farhan Hassan Khan, M. Younus Javed: An Efficient Rule-based Classification of Diabetes Using ID3, C4.5 & CART Ensembles. 12th International Conference on Frontiers of Information Technology (FIT), Islamabad Pakistan; 12/2014

[15] Roohi Hussain, Usman Qamar: An Approach to Detect Spam Emails by Using Majority Voting. The International Conference on Data Mining, Internet Computing, and Big Data (BigData2014), Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia; 11/2014

[14] Faryal Gohar, Wasi Haider Butt, Usman Qamar: Terrorist Group Prediction Using Data Classification. The International Conference on Artificial Intelligence and Pattern Recognition (AIPR2014), Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia; 11/2014

[13] Nabila Perveen, Usman Qamar: Inference Engine for Classification of Expert Systems Using Keyword Extraction Technique. The International Conference on Artificial Intelligence and Pattern Recognition (AIPR2014), Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia; 11/2014

[12] Saba Bashir, Usman Qamar, Younus Javed: An Ensemble based Decision Support Framework for Intelligent Heart Disease Diagnosis. International Conference on Information Society (i-Society 2014), London,UK; 11/2014

[11] Farhan Hassan Khan, Usman Qamar, M. Younus Javed: SentiView: A Visual Sentiment Analysis Framework. International Conference on Information Society (i-Society 2014), London, UK; 11/2014

[10] Bureera Sabir, Usman Qamar, Abdul Wahab Muzzafar: Ontology Development and Evaluation for Urinal Tract Infection. IEEE Symposium Series on Computational Intelligence (SSCI), USA; 10/2014

[9] Usman Qamar, Younus Javed: Frequent Itemset Mining using Rough-Sets. XII International Conference on Computer Science and Information Management (ICCSIM), London,UK; 10/2014

[8] Mr. Asad Bukhari, Um-e-Ghazia, Usman Qamar: Critical Review of Sentiment Analysis Techniques. International Conference on Artificial Intelligence and Computer Science 2014; 10/2014

[7] Usman Qamar, Younus Javed: FASTER: A Hybrid Algorithm for Feature Selection and Record Reduction in Rare Frequent Itemset. Proceedings of the World Congress on Engineering 2014, London,UK; 07/2014

[6] Usman Qamar: A Rough-Set Feature Selection Model for Classification and Knowledge Discovery. Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, Manchester; 10/2013

[5] Usman Qamar: Automated Entropy Value Frequency (AEVF) Algorithm for Outlier Detection in Categorical Data. 12th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED ’13), Cambridge, UK; 02/2013

[4] W.H. Butt, S.A. Khan, U. Qamar: Detecting covert dubious actors using cross domain associations. Innovative Computing Technology (INTECH), 2013 Third International Conference on; 01/2013

[3] F. Khan, S.A. Khan, U.U. Yasin, I. ul Haq, U. Qamar: Detection of glaucoma using retinal fundus images. Biomedical Engineering International Conference (BMEiCON), 2013 6th; 01/2013

Technical Reports

[2] Usman Qamar, Technical Report, A FASTER way to record reduction and attribute selection for large Data, School of Computer Science, University of Manchester, 2010.

[1] Usman Qamar, Technical Report, Rough Set Tutorial, School of Computer Science, University of Manchester, 2010.​

DESIGNATION​ ​FROM​​​ TO​​ University / Institute​​
​Assistant Professor ​March 2011 ​Date ​​Deptt of Computer Engineering, NUST College of EME
​Teaching Assistant ​2005 ​2009 ​University of Manchester, UK
​Lab Demonstrator ​2002 ​2004 ​University of Manchester Institute of Science and Technology (UMIST), UK

 

Courses Taught:

​Course Code
​Course Title
​CSE 860 ​Advanced Software Engineering
​CSE 810 ​Data Engineering
​CSE 786 ​Web Engineering
​EC-360 Software Engineering
 

​Designatin ​From ​To ​Company
​Post Doc ​2009 ​2011 ​niversity of Manchester, Vodafone UK, Office of National Statics (ONS) UK, University of Ghent, Belgium