Dr Usman Qamar

DrUsmanQamarEducation

  • Postgraduate Diploma in Health Research, University of Oxford, UK, 2018
  • Post-Doc in Decision Sciences, 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, 2003
  • B.E, National University of Sciences and Technology (NUST), Pakistan, 2001

Professional Profile

  • Present: Tenured Associate Professor, National University of Sciences and Technology (NUST), Pakistan
  • 2018-Present: Joint Director, Digital Pakistan Lab, National Centre of Big Data and Cloud Computing, Pakistan
  • 2011-Present: Director, Knowledge and Data Science Research Centre, National University of Sciences and Technology (NUST), Pakistan
  • 2009-2011:  Post Doc Researcher , 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

Biography:  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. He has also done a post graduation in Medical & Health Research, from University of Oxford, UK, where he worked on evidence-based health care, thematic qualitative data analysis and healthcare innovation and technology. He is director of Knowledge and Data Science Research Centre, a Centre of Excellence at NUST, Pakistan and principal investigator of Digital Pakistan Lab, which is part of National Centre for Big Data and Cloud Computing.  He has authored over 150 peer reviewed publications which includes 2 books published by Springer & Co, 21 Book Chapters, 38 Impact Factor Journal Publications with a combined impact factor of 104 (Clarivate Analytics Impact Factor) and over 100 Conference Publications. Many of his papers have been awarded best research paper awards by Higher Education Commission, Pakistan. Because of his extensive publications he is member of Elsevier Advisory Panel. He has successfully supervised 4 PhD students and over 70 master students. Dr. Usman has been able to acquire nearly PKR 100 million in research grants. He has received multiple research awards, including Best Book Award 2017/18 by Higher Education Commission (HEC), Pakistan, Best Researcher of Pakistan 2015/16 by Higher Education Commission (HEC), Pakistan, Best Overall NUST University Researcher Award 2016 and Best College of E&ME researcher award 2016 as well as gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2013 & 2017 and Silver award in APICTA (Asia Pacific ICT Alliance Awards) 2013 in category of R&D hosted by Hong Kong. He is also recipient of the prestigious Charles Wallace Fellowship 2016/17 as well as British Council Fellowship 2018, visiting research fellow at Centre of Decision Research, University of Leeds, UK and scientific director of Data and Text Mining Lab, Manchester Metropolitan. He is also an expert committee member of engineering & technology for the evaluation/recognition of national research journals for Higher Education Commission (HEC), Pakistan. Finally, he has the honour of being the finalist of the British Council’s Professional Achievement Award 2016/17.

Email: usmanq@ceme.nust.edu.pk

Publications

  • 2 Books (Publisher: Springer & Co)
  • 21 Book Chapters
  • 38 Impact Factor Journal* Publications (104.139 Combined Impact factor*)  *The Clarivate Analytics Impact Factor
  • 100+ Conference Publications
  • 2 Technical Report

Patents

  • Application no: GB1614565.8 (applied with Intellectual Property Office, UK)
  • Application no: GB1700667.7 (applied with Intellectual Property Office, UK)

Supervision

  • 4 PhD students successfully supervised
  • 3 PhD students under supervision
  • 73 MS students successfully supervised
  • 8 MS students under supervision

Funding

  • Higher Education Commission/Planning Commission: PKR 88.4 Million
  • Ignite: PKR 9.8 Million

International  Awards

  • British Council Fellow 2018
  • Charles Wallace Fellow 2016/17
  • Finalist of the British Council’s International Professional Achievement Award 2016/17
  • Silver award in APICTA (Asia Pacific ICT Alliance Awards) 2013 in category of R&D
  • PhD Research Fellowship, Engineering and Physical Sciences Research Council (EPSRC), UK

National Awards

  • Best Book Award 2017/18 at 7th Outstanding Research awards by Higher Education Commission (HEC), Pakistan
  • Best Researcher of Pakistan 2015/16 at 6th Outstanding Research awards by Higher Education Commission, Pakistan
  • Two best research paper awards at 6th Outstanding Research awards by Higher Education Commission, Pakistan
  • Best overall NUST University Researcher Award 2016
  • Best NUST College of E&ME, Researcher Award 2016/17,
  • Gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2017
  • Gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2013

Publications

2019

[161] Ayesha Shahnaz, Usman Qamar, Ayesha Khalid, Using Blockchain for Electronic Health Records, IEEE Access, 2019, I.F: 4.081

[160] Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, by Summair Raza & Usman Qamar, Springer & Co, 2019. Hardcover, ISBN: 978-981-32-9165-2

[159] Sadia Majeed, Usman Qamar, Wasi Haider, Farhan Hassan Khan, Improving social network analysis to enhance the identification of influential nodes, 15th IEEE International Conference on Emerging Technologies (ICET’2019), Peshawar, Pakistan, 2019

[158] Usman Ali, Usman Qamar, Khawaja Sarmad Arif, Kanwal Wahab, A Knapsack Problem Based Distributed Algorithm for Local Level Management in Smart Grids, XIV Springer International Workshop on Artificial Life and Evolutionary Computation,  Rende, Italy, 2019

[157] Summair Raza & Usman Qamar, Introduction to Feature Selection, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[156] Summair Raza & Usman Qamar, Background of RST, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[155] Summair Raza & Usman Qamar, Critical Analysis of Feature Selection Algorithms, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[154] Summair Raza & Usman Qamar, Advance Concepts in RST Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[153] Summair Raza & Usman Qamar, Unsupervised Feature Selection Using RST, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[152] Summair Raza & Usman Qamar, Rough Set-Based Feature Selection Techniques, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[151] Summair Raza & Usman Qamar, Rough Set Theory, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[150] Summair Raza & Usman Qamar, Dominance-Based Rough Set Approach, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[149] Summair Raza & Usman Qamar, Fuzzy Rough Sets, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, Springer & Co, 2019

[148] Sadia Majeed, Aftab Farooq, Usman Qamar, Muhammad Uzair, Social Network Analysis Visualization Tools: A comparative Review, IEEE Intelligent Systems Conference (IntelliSys), London, United Kingdom, 2019

[147] Muhammad Asad, Usman Qamar, Younas Khan, Saba Bashir, Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients, IEEE Intelligent Systems Conference (IntelliSys), London, United Kingdom, 2019

[146] Aiman Qadeer, Usman Qamar, A Dynamic Ensemble Selection Framework using dynamic weighting approach, IEEE Intelligent Systems Conference (IntelliSys), London, United Kingdom, 2019

[145] Younas Khan, Usman Qamar, Muhammad Asad, Babar Zeb, Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis, IEEE Intelligent Systems Conference (IntelliSys), London, United Kingdom, 2019

[144] Muhammad Asad, Usman Qamar, A review of Continuous blood glucose monitoring and prediction of blood glucose level for diabetes type 1 patient in different Prediction Horizons (PH) using Artificial Neural Network (ANN), Intelligent Systems Conference (IntelliSys) London, UK, 2019

[143] Anam Amjid, Usman Qamar, UAMSA: Unified Approach for Multilingual Sentiment Analysis Using GATE, 6th ACM Conference on the Engineering of Computer Based Systems, Bucharest, Romania, 2019

[142] Muhammad Summair Raza, Usman Qamar, A parallel approach to calculate lower and upper approximations in dominance based rough set theory, Applied Soft Computing, Elsevier, 2019, I.F: 4.831

[141] Andleeb Aslam, Usman Qamar, Opinion Mining Using Live Twitter Data, 22nd IEEE International Conference on Computational Science and Engineering (IEEE CSE 2019), New York, USA, 2019

[140] Reda Khan, Usman Qamar, Andleeb Aslam, Pakizah Saqib, Aleena Ahmad, Quality framework for ontologies evaluation based on structural characteristics, 22nd IEEE International Conference on Computational Science and Engineering (IEEE CSE 2019), New York, USA, 2019

[139] Kanwal Wahab, Usman Qamar, Khawaja Sarmad Arif, Building a biomedical ontology for Chronic Liver Disease, IEEE International Conference on Computer, Information, and Telecommunication Systems (CITS-2019), Beijing, China, 2019

[138] Muhammad Latif, Usman Qamar, A Novel Ensemble Approach for Feature Selection to Improve and Simplify the Sentimental Analysis, Springer Computing Conference, London, United Kingdom, 2019

[137] Pakizah Fatima, Usman Qamar, Andleeb Aslam, Aleena Ahmad, Hybrid of Filters and Genetic Algorithm – Random Forests based Wrapper approach for Feature Selection and Prediction, Springer Computing Conference, London, United Kingdom, 2019

[136] Khawaja Sarmad Arif, Usman Qamar, Kanwal Wahab, Building a biomedical ontology for respiratory tract infection, 7th ACM Internation Conference on Computer and Communication Management (ICCCM-2019), Bangkok, Thailand, 2019

[135] Iqra Tahir, Usman Qamar, EEG signal classification using neural network trained with SO for Epilepsy Identification, 11th ACM International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, China, 2019

[134] Asma Shaheen, Usman Qamar, OOCQM: Object Oriented Code Quality Meter, 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), Toyama, Japan

[133]Munazza Ansar, Usman Qamar, Raheela Bib, Asma Shaheen, Identification of Difficult English Words for Assisting Hearing Impaired Children in Learning Language, 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019), Honolulu, Hawaii, 2019

[132] Anila Umar, Usman Qamar, Detection and Diagnosis of Psychological Disorders Through Decision Rule Set Formation, 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019), Honolulu, Hawaii, 2019

[131] Raheela Bibi, Usman Qamar, Munazza Ansar, Asma Shaheen, Sentiment analysis for Urdu news Tweets using Decision tree, 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019), Honolulu, Hawaii, 2019

[130] Sami Ul Haq, Usman Qamar, Ontology Based Test Case Generation for Black Box Testing, ACM 8th International Conference on Educational and Information Technology (ICEIT 2019), University of Cambridge, Cambridge, UK, 2019

[129] Usman Ali, Khawaja Sarmad Arif, Usman Qamar, A Hybrid Scheme for Feature Selection of High Dimensional Educational Data, IEEE International Conference on Communication Technologies 2019 (ComTech-2019), Rawalpindi, Pakistan 2019

[128] Muhammad Asad, Usman Qamar, Younas Khan, Blood Glucose Level Prediction with minimal inputs Using Neural Network, 11th ACM International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, China, 2019

[127] Younas Khan, Usman Qamar, Nazish Yousaf, Machine Learning Techniques for Heart Disease Datasets: A Survey, 11th ACM International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, China, 2019

2018

[126] Sadia Majeed, Usman Qamar, Aftab Farooq, State of Art Techniques for Social Influence Analysis: A Systematic Literature Review, 16th IEEE International Conference on Frontiers of Information Technology (FIT’18), Islamabad, Pakistan, 2018

[125] Sidra Shafi, Usman Qamar, Web Services Classification using an Improved Text Mining Technique, 11th IEEE International Conference on Service Oriented Computing and Applications, Paris, France, 2018

[124] Maryum Hamdani, Usman Qamar, A comparison of Modern Localization Techniques in Wireless Sensor Networks (WSNs), Future Technologies Conference (FTC), Vancouver, BC, Canada, 2018

[123] Fateh ur RehmanMuhammad AbbasMuhammad Saad Rehman, Usman Qamar, Similarity-Based Missing Values Filling Algorithm, IEEE Thirteenth International Conference on Digital Information Management (ICDIM), Berlin, Germany, 2018

[122] Saadia Hafeez, Usman Qamar, Towards a biomedical ontology on breast cancer, Journal of Biomedical Informatics, Elsevier, 2018, I.F: 2.882

[121] Sundus Ayyaz, Usman Qamar, Raheel Nawaz, HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing Recommendations with Confidence, Plos One, 2018, I.F: 2.766

[120] Alia Fatima, Usman Qamar, Incremental Wrapper based Random Forest Gene Subset Selection for Tumor Discernment,  Springer 28th International Conference on Database and Expert Systems Applications,  Regensburg, Germany, 2018

[119] Muhammad Summair Raza, Usman Qamar, A heuristic based dependency calculation technique for rough set theory, Pattern Recognition, Elsevier, 2018, I.F: 4.588

[118] Maryum Hamdani, Usman Qamar, A comparison of Modern Localization Techniques in Wireless Sensor Networks (WSNs), Springer Future Technologies Conference, Vancouver, BC, Canada, 2018

[117] Iqra Muhammad, Usman Qamar, A systematic review of time series based spam identification techniques, Springer Future Technologies Conference, Vancouver, BC, Canada, 2018

[116] Rabia Noureen, Usman Qamar, InstaSent: A Novel Framework for Sentiment Analysis based on Instagram Selfies, IEEE IntelliSys 2018, London, UK, 2018

[115] Iqra Muhammad, Usman Qamar, Farhan Hassan Khan, Temporal Spam Identification- A multifaceted approach to identifying review spam, IEEE IntelliSys 2018, London, UK, 2018

[114] Madeha Arif, Usman Qamar, Farhan Hassan Khan, Saba Bashir, A Survey of Customer Review Helpfulness Prediction Techniques, IEEE IntelliSys 2018, London, UK, 2018

[113] Farhan Hassan Khan, Usman Qamar, Saba Bashir,  Enhanced Cross-Domain Sentiment Classification Utilizing a Multi-Source Transfer Learning Approach, Soft Computing, Springer, 2018, I.F: 2.617

[112] Aiman Nazir, Usman Qamar, Automated misspelling detection and correction in clinical free-text records, IEEE International Conference on Artificial Intelligence and Big Data (ICAIBD18), Chengdu, China, 2018

[111] Fateh ur Rehman, Bilal Maqbool, Muhammad Qasim Riaz, Usman Qamar, Scrum Software Maintenance Model: Efficient Software Maintenance in Agile Methodology,  21st IEEE Computer Society National Computer Conference (NCC2018)

[110] Sadaf Munir, Usman Qamar, Hina Aziz, Automated Misspelling Detection and Correction in Medical Records, IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2018), Penang, Malaysia, 2018

[109] Aiman Nazir, Asma Shaheen, Iqra Zafar, Usman Qamar, GGSE-Website Usability Evaluation Framework, IEEE Computing Conference 2018, London, UK, 2018

[108] Madeha Arif, Usman Qamar, A Framework for Feature Extraction and Ranking for Opinion Making from Online Reviews, IEEE Computing Conference 2018, London, UK, 2018

2017

[107] Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Summair Raza & Usman Qamar, Springer & Co, 2017. Hardcover ISBN 978-981-10-4964-4

[106] Summair Raza & Usman Qamar, Background of RST, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Springer & Co, 2017

[105] Summair Raza & Usman Qamar, Critical Analysis of Feature Selection Algorithms, Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Springer & Co, 2017

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

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

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

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

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

[99] 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

[98] Qadeem Khan, Usman Qamar, Wasi Haider, Saad Rehman, Implementation and Analysis of Novel Clustering Algorithm Without Initial Value Selection for Software Architectural Styles Data Set, 15th International Conference on Frontiers of Information Technology (FIT’17), Islamabad, Pakistan, 2017

[97] Mazhar Hameed, Hiba Khalid, Usman Qamar, Reinforced Experience Generator based on Query Nature and Data Bulking, IEEE Future Technologies Conference (FTC) 2017, Vancouver, Canada, 2017

[96] 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, 2017

[95] Muhammad Summair Raza, Usman Qamar, Feature selection using Rough Set-based direct dependency calculation by avoiding the positive region, International Journal of Approximate Reasoning, Elsevier, 2017, I.F: 2.841

[94] 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, 2017

[93] 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, 2017

[92] Bureera Sabir, Nabila Parveen, Usman Qamar, Abdul Wahab Muzaffar Qureshi, Impact Analysis on Evolution Patterns of Service Oriented Systems, International Conference on Engineering, Computing & Information Technology, Kuala Lumpur, Malaysia, 2017

[91] 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, 2017

[90] Muhammad Summair Raza, Usman Qamar, A Parallel Rough Set based Dependency Calculation Method for Efficient Feature Selection, Applied Soft Computing, Elsevier, 2017, I.F: 3.907

[89] 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: 2.980

[88] 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, 2017

[87] 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, 2017

[86] 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, 2017

[85] 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, 2017

[84] 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, 2017

[83] 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, 2017

2016                                                                  

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

[81] Saba Bashir, Usman Qamar, Farhan Hassan Khan, WebMAC: A Web based Clinical Expert System, Information Systems Frontiers, Springer, 2016, I.F: 3.232

[80] 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: 4.247

[79] 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: 4.830

[78] 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, 2016

[77] 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, 2016

[76] 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, 2016

[75] 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, 2016

[74] 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, 2016

[73] 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: 3.814

[72] 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: 2.720

[71] 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: 1.431

[70] 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, 2016

[69] 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, 2016

[68] 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, 2016

[67] 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, 2016

[66] 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, 2016

[65] 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, 2016

[64] 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: 4.521

[63] 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, 2016

[62] 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, 2016

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

[60] 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, 2016

[59] 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, 2016

[58] 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: 3.479

[57] 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: 3.925

[56] 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, 2016

[55] 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, 2016

[54] 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, 2016

[53] Muhammad Summair Raza, Usman Qamar, An incremental dependency calculation technique for feature selection using rough sets, Information Sciences, Elsevier, 2016, I.F: 4.810

2015

[52] 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

[51] 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: 2.882

[50] 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; 2015

[49] 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; 2015

[48] 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; 2015

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

[46] 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: 3.907

[45] 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: 1.545

[44] 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; 2015

[43] 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; 2015

[42] 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

[41] 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); 2015

[40] 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

[39] 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); 2015

[38] 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); 2015

[37] 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

[36] 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

[35] 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; 2015

[34] 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; 2015

[33] 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; 2015

[32] 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: 2015

[31] 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.; 2015

[30] 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; 2015

[29] 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; 2015

[28] 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; 2015

[27] 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.; 2015

[26] 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.; 2015

[25] 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: 1.352

2014

[24] 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

[23] 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: 1.252

[22] 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, 2014, IF: 1.177

[21] Saba Bashir, Usman Qamar, Farhan Hassan Khan, Heterogeneous Classifiers Fusion for Dynamic Breast Cancer Diagnosis using Weighted Vote based Ensemble, Quality and Quantity, Springer, 2014, IF: 1.211

[20] 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; 2014

[19] 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; 2014

[18] 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; 2014

[17] 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

[16] 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; 2014

[15] 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; 2014

[14] 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; 2014

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

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

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

[10] 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; 2014

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

[8] 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

2013

[7] 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

[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; 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; 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; 2013

[3] 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; 2013

2010

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

2009

[1] Usman Qamar, Technical Report, Rough Set Tutorial, School of Computer Science, University of Manchester, 2009.

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