Faculty Profile

Dr. Mian Muhammad Awais

Professor

Department Of Comp. Scienc

Dr. Awais received his Ph.D. from Imperial College, University of London. Prior to joining LUMS, Dr Awais conducted European Union research and development projects for a UK based SME. His Ph.D. work related to the development of on-line models for parametric estimation of solid fuel-fired industrial boilers. Dr Awais has also conducted research work on a class of iterative methods pertinent to Krylov subspaces for optimisation, such as the oblique projection and implicitly restarted model reduction methodologies.

    • Article
      • Awais, M. M. .(2014). Learning from demonstration in robots using the shared circuits model . IEEE Transactions on Autonomous Mental Development , , pp. 15
    • Journal Articles
      • Awais, M. M. .(2014). Database workload management through CBR and fuzzy based characterization . Applied Soft Computing Journal , Elsevier , pp. 18
      • Awais, M. M. .(2014). Comparing ranking methods: Complete RCI preference and multiplicative preference relations. . Journal of Intelligent and Fuzzy Systems , , pp. 849
      • Awais, M. M. .(2014). Incomplete preference relations: An upper bound condition. . Incomplete preference relations: An upper bound condition. , , pp. 1433
      • Awais, M. M. .(2014). Workload management: A technology perspective with respect to self-*characteristics . Artificial Intelligence Review , Springer , pp. 28
    • Conference Papers
      • Awais, M. M. .(2014). BOOSTRON: Boosting Based Perceptron Learning . The 21st International Conference on Neural Information Processing ICONIP , IEEE
      • Awais, M. M. .(2014). Intrusion detection using a cascade of boosted classifiers (CBC) . Proceedings of the International Joint Conference on Neural Networks , IEEE , pp. 8
      • Awais, M. M. .(2014). Impact of using information gain in software defect prediction models . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , Springer , pp. 12
      • Awais, M. M. Learning a Linear Feed-Forward ANN Using Boosted Decision Stumps . International Joint Conference on Neural Networks , IEEE
TitleSemesterCode
Introduction to Artificial IntelligenceFall Semester 2014-151401
Senior Project IFall Semester 2014-151401
Master's Thesis IFall Semester 2014-151401
Senior Project IISpring Semester 2014-151402
Master's ProjectSpring Semester 2014-151402
Master's Thesis ISpring Semester 2014-151402
Master's Thesis IISpring Semester 2014-151402
Intelligent ComputingSpring Semester 2014-151402
Theory of AutomataSpring Semester 2014-151402
Master's Thesis IISummer Semester 2014-151403
Introduction to Artificial IntelligenceFall Semester 2015-161501
Senior Project IFall Semester 2015-161501
Master's Thesis IFall Semester 2015-161501
Data MiningSpring Semester 2015-161502
Senior Project IISpring Semester 2015-161502
Master's Thesis ISpring Semester 2015-161502
Master's Thesis IISpring Semester 2015-161502
Doctoral Thesis ResearchSpring Semester 2015-161502
Intelligent ComputingSpring Semester 2015-161502
Introduction to Data MiningSpring Semester 2015-161502
Senior Project in Management ScienceSpring Semester 2015-161502
Senior Project ISummer Semester 2015-161503
Doctoral Thesis ResearchSummer Semester 2015-161503
Introduction to Artificial IntelligenceFall Semester 2016-171601
Senior Project IFall Semester 2016-171601
Senior Project IIFall Semester 2016-171601
Master's Thesis IFall Semester 2016-171601
Doctoral Thesis ResearchFall Semester 2016-171601
Senior Project IISpring Semester 2016-171602
Master's Thesis IISpring Semester 2016-171602
Doctoral Thesis ResearchSpring Semester 2016-171602
Independent StudySpring Semester 2016-171602
Directed Research ProjectSpring Semester 2016-171602
  • Past Courses
    TitleSemesterCode
    Introduction to ComputingAutumn Qtr 2003-04301
    Computer Science FundamentalsSpring Qtr 2003-04303
    Introduction to ComputingAutumn Qtr 2004-05401
    Introduction to Artificial IntelligenceWinter Qtr 2004-05402
    Artificial IntelligenceWinter Qtr 2004-05402
    Computer Science FundamentalsSpring Qtr 2004-05403
    Research Trends in Artificial IntelligenceSpring Qtr 2004-05403
    Introduction to Artificial IntelligenceAutumn Qtr 2005-06501
    Artificial IntelligenceAutumn Qtr 2005-06501
    RoboticsWinter Qtr 2005-06502
    Fuzzy SystemsWinter Qtr 2005-06502
    Research Trends in Artificial IntelligenceSpring Qtr 2005-06503
    Fluid and Thermal EngineeringSpring Qtr 2005-06503
    PhD Reading Course CSSummer Qtr 2005-06504
    Introduction to Artificial IntelligenceAutumn Qtr 2006-07601
    Artificial IntelligenceAutumn Qtr 2006-07601
    RoboticsWinter Qtr 2006-07602
    Fuzzy SystemsWinter Qtr 2006-07602
    MS Independent StudyWinter Qtr 2006-07602
    Doctoral Thesis ResearchSpring Qtr 2006-07603
    Fluid and Thermal EngineeringSpring Qtr 2006-07603
    Topics in Artificial IntelligenceSpring Qtr 2006-07603
    MS Independent StudySummer Qtr 2006-07604
    Doctoral Thesis ResearchSummer Qtr 2006-07604
    MS Independent StudyAutumn Qtr 2007-08701
    Doctoral Thesis ResearchAutumn Qtr 2007-08701
    Doctoral Thesis Research UnitsAutumn Qtr 2007-08701
    Independent Study IIIWinter Qtr 2007-08702
    MS Independent StudyWinter Qtr 2007-08702
    Doctoral Thesis ResearchWinter Qtr 2007-08702
    Doctoral Thesis Research UnitsWinter Qtr 2007-08702
    Doctoral Thesis ResearchSummer Qtr 2007-08704
    Introduction to Artificial IntelligenceAutumn Qtr 2008-09801
    Artificial IntelligenceAutumn Qtr 2008-09801
    Doctoral Thesis ResearchAutumn Qtr 2008-09801
    Fluid and Thermal EngineeringWinter Qtr 2008-09802
    Topics in Artificial IntelligenceWinter Qtr 2008-09802
    Doctoral Thesis ResearchWinter Qtr 2008-09802
    Doctoral Thesis ResearchWinter Qtr 2008-09802
    Doctoral Thesis ResearchSpring Qtr 2008-2009803
    Doctoral Thesis ResearchSpring Qtr 2008-2009803
    Master's ProjectSummer Qtr 2008-09804
    Introduction to ComputingFall Semester 2009-10901
    Doctoral Thesis ResearchFall Semester 2009-10901
    Senior Project IFall Semester 2009-10901
    Introduction to Artificial IntelligenceSpring Semester 2009-10902
    Senior Project ISpring Semester 2009-10902
    Senior Project IISpring Semester 2009-10902
    Doctoral Thesis ResearchSpring Semester 2009-10902
    Independent StudySpring Semester 2009-10902
    Intelligent ComputingSpring Semester 2009-10902
    Introduction to Artificial Intelligence LaboratorySpring Semester 2009-10902
    Doctoral Thesis ResearchSummer Semester 2009-10903
    Introduction to ComputingFall Semester 2010-111001
    Introduction to Artificial IntelligenceSpring Semester 2010-111002
    Intelligent ComputingSpring Semester 2010-111002
    Introduction to Artificial Intelligence LaboratorySpring Semester 2010-111002
    Introduction to Artificial Intelligence LabSpring Semester 2010-111002
    PhD Reading Course: Decision Making using Fuzzy LogicSpring Semester 2010-111002
    MS Independent StudySummer Semester 2010-111003
    Doctoral Thesis ResearchSummer Semester 2010-111003
    PhD Reading Course: Fuzzy JudgmentSummer Semester 2010-111003
    Introduction to Artificial IntelligenceFall Semester 2011-121101
    Introduction to ComputingFall Semester 2011-121101
    Master's ProjectFall Semester 2011-121101
    Master's Thesis IFall Semester 2011-121101
    Doctoral Thesis ResearchFall Semester 2011-121101
    Intelligent ComputingSpring Semester 2011-121102
    Doctoral Thesis ResearchSpring Semester 2011-121102
    MS Independent StudySpring Semester 2011-121102
    Doctoral Thesis ResearchSummer Semester 2011-121103
    Introduction to Artificial IntelligenceFall Semester 2012-131201
    Master's Thesis IFall Semester 2012-131201
    Doctoral Thesis ResearchFall Semester 2012-131201
    Master's ProjectSpring Semester 2012-131202
    Master's Thesis IISpring Semester 2012-131202
    Independent StudySpring Semester 2012-131202
    Independent StudySpring Semester 2012-131202
    Senior Project ISpring Semester 2012-131202
    Doctoral Thesis ResearchSpring Semester 2012-131202
    Theory of AutomataSpring Semester 2012-131202
    Doctoral Thesis ResearchSummer Semester 2012-131203
    PhD Reading Course: Decision Making & Soft Set TheorySummer Semester 2012-131203
    PhD Reading Course: Preference Relations in Fuzzy Soft Set TheorySummer Semester 2012-131203
    Introduction to Artificial IntelligenceFall Semester 2013-141301
    Senior Project IFall Semester 2013-141301
    Master's Thesis IFall Semester 2013-141301
    MS independent StudyFall Semester 2013-141301
    Doctoral Thesis ResearchFall Semester 2013-141301
    PhD Reading Course: Mathematical Methods in Artificial IntelligenceFall Semester 2013-141301
    PhD Reading Course: Introduction to Mathematical ProgrammingFall Semester 2013-141301
    Senior Project IISpring Semester 2013-141302
    Master's Thesis IISpring Semester 2013-141302
    Intelligent ComputingSpring Semester 2013-141302
    Theory of AutomataSpring Semester 2013-141302