Never regard your study as a duty, but as the enviable opportunity to learn to know the liberating influence of beauty in the realm of spirit for your own personal joy and to the profit of the community to which your later work belongs.

  - Albert Einstein

Academic Advising

Graduate Research Students

Ph.D. Supervisor

  • Cong Tran (2004), University of South Australia, Australia. 

Ph.D. Thesis Title: Intelligent Decision Support Systems in Tactical Air Combat Environment. 

Publications

  1. Cong Tran, Ajith Abraham and Lakhmi Jain, Modeling Decision Support Systems Using Hybrid Neurocomputing, Neurocomputing Journal, Elsevier Science, Netherlands, Volume 61C, pp. 85-97, 2004.

  2. Cong Tran, Ajith Abraham and Lakhmi Jain, Soft Computing Paradigms for Modeling Decision Support Systems, Knowledge-Based paradigms and Applications, John Fulcher (Ed.), Idea Group Inc. Publishers, USA, 2005 (in press).

  3. Cong Tran, Ajith Abraham and Lakhmi Jain, Decision Support Systems Using Hybrid Neurocomputing, Third International Conference on Hybrid Intelligent Systems, Australia, Design and Application of Hybrid Intelligent Systems, Abraham A., Köppen M. and Franke K. (Eds.), IOS Press, Amsterdam, The Netherlands, pp. 779-788, 2003.

  4. Cong Tran, Ajith Abraham and Lakhmi Jain, A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems, The IEEE International Conference on Fuzzy Systems, FUZZ-IEEE'03, IEEE Press, ISBN 0780378113, pp. 1092-1097, 2003.

  5. Cong Tran, Ajith Abraham and Lakhmi Jain, TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System, Advances in Soft Computing: Engineering Design and Manufacturing, Jose Benitez et al. (Eds.), Springer Verlag, Germany, pp. 53-62, 2003.  

  6. Cong Tran, Ajith Abraham and Lakhmi Jain, Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic Approach for Tactical Air Combat Decision Support System, 15th Australian Joint Conference on Artificial Intelligence (AI'02) Australia, LNAI 2557, Springer Verlag, Germany, pp. 672-679, 2002.

  7. Cong Tran, Lakhmi Jain and Ajith Abraham, Adaptive Database Learning in Decision Support System Using Evolutionary Fuzzy Systems: A Generic Framework, Hybrid Information Systems, Advances in Soft Computing, Physica Verlag, Germany, ISBN 3790814806, pp. 237-252, 2002.

Ph.D. Committee

  • Srinivas Mukkamala (2003-2004), New Mexico Tech, USA

Publications

  1. Srinivas Mukkamala, Andrew H. Sung and Ajith Abraham, Intrusion Detection Using Ensemble of Soft Computing and Hard Computing Paradigms, Journal of Network and Computer Applications, Elsevier Science, Volume 28, Issue 2, pp. 167-182, 2005.

  2. Srinivas Mukkamala, Andrew H. Sung and Ajith Abraham, Designing Intrusion Detection Systems: Architectures and Perspectives, The International Engineering Consortium (IEC), Annual Review of Communications, Chicago, USA, Volume 57, pp. 1229-1241, 2004.

  3. Srinivas Mukkamala, Andrew Sung and Ajith Abraham, Cyber Security Challenges: Designing Efficient Intrusion Detection Systems and Antivirus Tools, Enhancing Computer Security with Smart Technology, V. Rao Vemuri and V. Sree Hari Rao (Eds.), CRC Press, USA, 2005.

  4. Srinivas Mukkamala, Andrew Sung and Ajith Abraham, Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach, The 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems, Innovations in Applied Artificial Intelligence, Robert Orchard, Chunsheng Yang, Moonis Ali (Eds.), Lecture Notes in Computer Science 3029, Springer Verlag, Germany, pp. 633-642, 2004.

  5. Srinivas Mukkamala, Andrew Sung, Ajith Abraham and Vitorino Ramos, Intrusion Detection Systems Using Adaptive Regression Splines, 6th International Conference on Enterprise Information Systems, ICEIS'04, Portugal, I. Seruca, J. Filipe, S. Hammoudi and J. Cordeiro (Eds.), ISBN 9728865007, Vol. 3, pp. 26-33, 2004.

  6. Srinivas Mukkamala, Andrew Sung and Ajith Abraham, Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes, Third International Conference on Hybrid Intelligent Systems, Australia, Design and Application of Hybrid Intelligent Systems, Abraham A., Köppen M. and Franke K. (Eds.) IOS Press, Amsterdam, The Netherlands, pp. 116-125, 2003.

  7. Srinivas Mukkamala, Andrew Sung and Ajith Abraham, Intrusion Detection Using Ensemble of Soft Computing Paradigms, Third International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications, Advances in Soft Computing, Springer Verlag, Germany, pp. 239-248, 2003.

M.S. Supervisor

Brent Doeksen (2003), Oklahoma State University, USA

Publications

  1. Brent Doeksen, Ajith Abraham, Johnson Thomas, Marcin Paprzycki, Real Stock Trading Using Soft Computing Models, IEEE International Conference on Information Technology: Coding and Computing (ITCC'05), USA, IEEE Computer Society, 2005.

Saulat Farooq (2005), University of South Australia, Australia. 

  1. Saulat Farooque, Ajith Abraham and Lakhmi Jain, Collaborative Agent Learning Using Hybrid Neurocomputing, IADIS International Conference on Applied Computing, Portugal, ISBN: 972-99353-6-X, Nuno Guimarães and Pedro Isaías (Eds.) pp. 377-384, 2005.

  2. Saulat Farooque, Ajith Abraham and Lakhmi Jain, Collaborative Agent Learning Using Neurocomputing, 11th International Conference on Neural Information Processing, ICONIP'04, Pal N.R. et al. (Eds.) Springer Verlag, Germany, Lecture Notes in Computer Science,  Vol. 3316, ISBN 3-540-23931-6, pp. 619-624, 2004.

M.S. Committee

Srilatha Chebrolu (2003), Oklahoma State University, USA 

Publications

  1. Srilatha Chebrolu, Ajith Abraham and Johnson Thomas, Feature Deduction and Ensemble Design of Intrusion Detection Systems, Computers and Security, Elsevier Science, 2005 (in press).

  2. Srilatha Chebrolu, Ajith Abraham and Johnson Thomas, Hybrid Feature Selection for Modeling Intrusion Detection Systems, 11th International Conference on Neural Information Processing, ICONIP'04, Pal N.R. et al. (Eds.) Springer Verlag, Germany, Lecture Notes in Computer Science, Vol. 3316, ISBN 3-540-23931-6, pp. 1020-1025, 2004.

  3. Srilatha Chebrolu, Ajith Abraham and Johnson P Thomas, Data Reduction and Data Classification in an Intrusion Detection System, 2004 South Central Information Security Symposium (SCISS'04), Texas, USA, 2004.

Miao Chong (2003), Oklahoma State University, USA 

Publications

  1. Miao M. Chong, Ajith Abraham, Marcin Paprzycki, Traffic Accident Analysis Using Decision Trees and Neural Networks, IADIS International Conference on Applied Computing, Portugal, IADIS Press, Nuno Guimarães and Pedro Isaías (Eds.), ISBN: 9729894736, Volume 2, pp. 39-42, 2004.

  2. Miao Chong, Ajith Abraham, Marcin Paprzycki, Traffic Accident Data Mining Using Machine Learning Paradigms, Fourth International Conference on Intelligent Systems Design and Applications (ISDA'04), Hungary, ISBN 9637154302, pp. 415-420, 2004.

Ruiyuan Guo (2003), Oklahoma State University, USA

Publications

  1. Marcin Paprzycki, Ajith Abraham and Ruiyuan Guo, Data Mining Approach for Analyzing Call Center Performance, The 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems, Innovations in Applied Artificial Intelligence, Robert Orchard, Chunsheng Yang, Moonis Ali (Eds.), Lecture Notes in Computer Science 3029, Springer Verlag, Germany, pp. 1092-1101, 2004.

Pramesh Muppala (2003), Oklahoma State University, USA

Publications

  1. Pranesh Muppala, Johnson Thomas, Ajith Abraham, Intelligent Distributed Authentication Scheme for Ad Hoc Wireless Networks, IEEE International Conference on Information Technology: Coding and Computing (ITCC'05), USA, IEEE Computer Society, 2005.

Sandhya Peddabachigari (2003), Oklahoma State University, USA

Publications

  1. Sandhya Peddabachigari, Ajith Abraham and Johnson Thomas, Intrusion Detection Systems Using Decision Trees and Support Vector Machines, International Journal of Applied Science and Computations, USA, Vol.11, No.3, pp.118-134, 2004. .

 

Classroom Teaching 

 

Subject

Level

Responsibility

Chung Ang University, Seoul, Korea (Fall 2004 -- )
Data Mining Graduate Instructor
Computational Intelligence Graduate Instructor

Electronic Commerce

Under graduate Instructor

Computer Architecture

Under graduate

Instructor

Oklahoma State University, (Fall 2002 -- Spring 2004)

CS 6700, Fuzzy Sets, Fuzzy Logic and Fuzzy Inference Systems: Theory and Applications

Graduate

Instructor

CS 6400, Intelligent Data Mining

Graduate

Instructor

CS 4154, Computer Science Migration

Graduate

Instructor

CS 4793, Artificial Intelligence I

Under graduate

Instructor

CS 5793, Artificial Intelligence II

Graduate

Instructor

 

Monash University, Australia (1999 March - 2001 December)

 

Evolutionary and Neural Computing

Graduate

Instructor

Computer Models for Business Decisions

Graduate

Tutor

Project Management

Graduate & under graduate

Tutor

General Operations Management

Graduate & under graduate

Tutor