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