Faculty Profile

Dr. Mian Muhammad Awais

Professor

Department Of Computer Sciences

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
Semester Title Code
Spring Semester 2017-18 Master's Thesis 1702
Spring Semester 2017-18 Introduction to Data Mining 1702
Spring Semester 2017-18 Intelligent Computing 1702
Spring Semester 2017-18 Data Mining 1702
Fall Semester 2017-18 Master's Thesis 1701
Fall Semester 2017-18 Doctoral Thesis Research 1701
Summer Semester 2016-17 Doctoral Thesis Research 1603
Spring Semester 2016-17 Directed Research Project 1602
Spring Semester 2016-17 Independent Study 1602
Spring Semester 2016-17 Doctoral Thesis Research 1602
Spring Semester 2016-17 Master's Thesis II 1602
Spring Semester 2016-17 Senior Project II 1602
Fall Semester 2016-17 Doctoral Thesis Research 1601
Fall Semester 2016-17 Master's Thesis I 1601
Fall Semester 2016-17 Senior Project II 1601
Fall Semester 2016-17 Senior Project I 1601
Fall Semester 2016-17 Introduction to Artificial Intelligence 1601
Summer Semester 2015-16 Doctoral Thesis Research 1503
Summer Semester 2015-16 Senior Project I 1503
Spring Semester 2015-16 Senior Project in Management Science 1502
Spring Semester 2015-16 Introduction to Data Mining 1502
Spring Semester 2015-16 Intelligent Computing 1502
Spring Semester 2015-16 Doctoral Thesis Research 1502
Spring Semester 2015-16 Master's Thesis II 1502
Spring Semester 2015-16 Master's Thesis I 1502
Spring Semester 2015-16 Senior Project II 1502
Spring Semester 2015-16 Data Mining 1502
Fall Semester 2015-16 Master's Thesis I 1501
Fall Semester 2015-16 Senior Project I 1501
Fall Semester 2015-16 Introduction to Artificial Intelligence 1501
Summer Semester 2014-15 Master's Thesis II 1403
Spring Semester 2014-15 Theory of Automata 1402
Spring Semester 2014-15 Intelligent Computing 1402
Spring Semester 2014-15 Master's Thesis II 1402
Spring Semester 2014-15 Master's Thesis I 1402
Spring Semester 2014-15 Master's Project 1402
Spring Semester 2014-15 Senior Project II 1402
Fall Semester 2014-15 Master's Thesis I 1401
Fall Semester 2014-15 Senior Project I 1401
Fall Semester 2014-15 Introduction to Artificial Intelligence 1401
  • Past Courses
    Semester Title Code
    Spring Semester 2013-14 Theory of Automata 1302
    Spring Semester 2013-14 Intelligent Computing 1302
    Spring Semester 2013-14 Master's Thesis II 1302
    Spring Semester 2013-14 Senior Project II 1302
    Fall Semester 2013-14 PhD Reading Course: Introduction to Mathematical Programming 1301
    Fall Semester 2013-14 PhD Reading Course: Mathematical Methods in Artificial Intelligence 1301
    Fall Semester 2013-14 Doctoral Thesis Research 1301
    Fall Semester 2013-14 MS independent Study 1301
    Fall Semester 2013-14 Master's Thesis I 1301
    Fall Semester 2013-14 Senior Project I 1301
    Fall Semester 2013-14 Introduction to Artificial Intelligence 1301
    Summer Semester 2012-13 PhD Reading Course: Preference Relations in Fuzzy Soft Set Theory 1203
    Summer Semester 2012-13 PhD Reading Course: Decision Making & Soft Set Theory 1203
    Summer Semester 2012-13 Doctoral Thesis Research 1203
    Spring Semester 2012-13 Theory of Automata 1202
    Spring Semester 2012-13 Doctoral Thesis Research 1202
    Spring Semester 2012-13 Senior Project I 1202
    Spring Semester 2012-13 Independent Study 1202
    Spring Semester 2012-13 Independent Study 1202
    Spring Semester 2012-13 Master's Thesis II 1202
    Spring Semester 2012-13 Master's Project 1202
    Fall Semester 2012-13 Doctoral Thesis Research 1201
    Fall Semester 2012-13 Master's Thesis I 1201
    Fall Semester 2012-13 Introduction to Artificial Intelligence 1201
    Summer Semester 2011-12 Doctoral Thesis Research 1103
    Spring Semester 2011-12 MS Independent Study 1102
    Spring Semester 2011-12 Doctoral Thesis Research 1102
    Spring Semester 2011-12 Intelligent Computing 1102
    Fall Semester 2011-12 Doctoral Thesis Research 1101
    Fall Semester 2011-12 Master's Thesis I 1101
    Fall Semester 2011-12 Master's Project 1101
    Fall Semester 2011-12 Introduction to Computing 1101
    Fall Semester 2011-12 Introduction to Artificial Intelligence 1101
    Summer Semester 2010-11 PhD Reading Course: Fuzzy Judgment 1003
    Summer Semester 2010-11 Doctoral Thesis Research 1003
    Summer Semester 2010-11 MS Independent Study 1003
    Spring Semester 2010-11 PhD Reading Course: Decision Making using Fuzzy Logic 1002
    Spring Semester 2010-11 Introduction to Artificial Intelligence Lab 1002
    Spring Semester 2010-11 Introduction to Artificial Intelligence Laboratory 1002
    Spring Semester 2010-11 Intelligent Computing 1002
    Spring Semester 2010-11 Introduction to Artificial Intelligence 1002
    Fall Semester 2010-11 Introduction to Computing 1001
    Summer Semester 2009-10 Doctoral Thesis Research 903
    Spring Semester 2009-10 Introduction to Artificial Intelligence Laboratory 902
    Spring Semester 2009-10 Intelligent Computing 902
    Spring Semester 2009-10 Independent Study 902
    Spring Semester 2009-10 Doctoral Thesis Research 902
    Spring Semester 2009-10 Senior Project II 902
    Spring Semester 2009-10 Senior Project I 902
    Spring Semester 2009-10 Introduction to Artificial Intelligence 902
    Fall Semester 2009-10 Senior Project I 901
    Fall Semester 2009-10 Doctoral Thesis Research 901
    Fall Semester 2009-10 Introduction to Computing 901
    Summer Qtr 2008-09 Master's Project 804
    Spring Qtr 2008-2009 Doctoral Thesis Research 803
    Spring Qtr 2008-2009 Doctoral Thesis Research 803
    Winter Qtr 2008-09 Doctoral Thesis Research 802
    Winter Qtr 2008-09 Doctoral Thesis Research 802
    Winter Qtr 2008-09 Topics in Artificial Intelligence 802
    Winter Qtr 2008-09 Fluid and Thermal Engineering 802
    Autumn Qtr 2008-09 Doctoral Thesis Research 801
    Autumn Qtr 2008-09 Artificial Intelligence 801
    Autumn Qtr 2008-09 Introduction to Artificial Intelligence 801
    Summer Qtr 2007-08 Doctoral Thesis Research 704
    Winter Qtr 2007-08 Doctoral Thesis Research Units 702
    Winter Qtr 2007-08 Doctoral Thesis Research 702
    Winter Qtr 2007-08 MS Independent Study 702
    Winter Qtr 2007-08 Independent Study III 702
    Autumn Qtr 2007-08 Doctoral Thesis Research Units 701
    Autumn Qtr 2007-08 Doctoral Thesis Research 701
    Autumn Qtr 2007-08 MS Independent Study 701
    Summer Qtr 2006-07 Doctoral Thesis Research 604
    Summer Qtr 2006-07 MS Independent Study 604
    Spring Qtr 2006-07 Topics in Artificial Intelligence 603
    Spring Qtr 2006-07 Fluid and Thermal Engineering 603
    Spring Qtr 2006-07 Doctoral Thesis Research 603
    Winter Qtr 2006-07 MS Independent Study 602
    Winter Qtr 2006-07 Fuzzy Systems 602
    Winter Qtr 2006-07 Robotics 602
    Autumn Qtr 2006-07 Artificial Intelligence 601
    Autumn Qtr 2006-07 Introduction to Artificial Intelligence 601
    Summer Qtr 2005-06 PhD Reading Course CS 504
    Spring Qtr 2005-06 Fluid and Thermal Engineering 503
    Spring Qtr 2005-06 Research Trends in Artificial Intelligence 503
    Winter Qtr 2005-06 Fuzzy Systems 502
    Winter Qtr 2005-06 Robotics 502
    Autumn Qtr 2005-06 Artificial Intelligence 501
    Autumn Qtr 2005-06 Introduction to Artificial Intelligence 501
    Spring Qtr 2004-05 Research Trends in Artificial Intelligence 403
    Spring Qtr 2004-05 Computer Science Fundamentals 403
    Winter Qtr 2004-05 Artificial Intelligence 402
    Winter Qtr 2004-05 Introduction to Artificial Intelligence 402
    Autumn Qtr 2004-05 Introduction to Computing 401
    Spring Qtr 2003-04 Computer Science Fundamentals 303
    Autumn Qtr 2003-04 Introduction to Computing 301