46.		Homayoon S.M. Beigi, ``Neural Network Learning and Learning Control Through Optimization Techniques,'' Doctoral Thesis, School of Engineering and Applied Science, Columbia University, New York City, New York, 1991.

42.		Homayoon S.M. Beigi and C. James Li ``Learning Algorithms for Feedforward Neural Networks Based on Classical and Initial-Scaling Quasi-Newton Methods,'' ISMM Journal of Microcomputer Applications, Vol. 14, No. 2, 1995, pp. 41-52.

40.		Homayoon S.M. Beigi and C. James Li ``Learning Algorithms for Neural Networks Based on Quasi-Newton Methods with Self-Scaling,'' ASME Transactions, Journal of Dynamic Systems, Measurement, and Control, Vol. 115, No.1, March 1993, pp. 38-43.

20.		Homayoon Beigi, ``Neural Network Learning Through Optimally Conditioned Quadratically Convergent Methods Requiring NO LINE SEARCH,'' IEEE-36th Symposium on Circuits and Systems, Detroit, Michigan, August 16-18, 1993.

7.		Homayoon S.M. Beigi and C. James Li, ``New Neural Network Learning Based on Gradient-Free Optimization Methods,'' Receipient of IEEE Best Paper Award, The IEEE 1990 Long Island Student Conference on Neural Networks, Old Westbury, NY, April 21, 1990, pp. 9-12.

6.		Homayoon S.M. Beigi and C. James Li, ``Neural Network Learning Based on Quasi-Newton Methods with Initial Scaling of Inverse Hessian Approximate,'' Receipient of IEEE Best Paper Award, The IEEE 1990 Long Island Student Conference on Neural Networks, Old Westbury, NY, April 21, 1990, pp. 49-52.

5.		Homayoon S.M. Beigi and C. James Li, ``A New Set of Learning Algorithms for Neural Networks,'' Proc. of the ISMM International Symposium, Computer Applications in Design, Simulation and Analysis, New Orleans, LA, March 5-7, 1990, pp. 277-280.

1.		Homayoon S. M. Beigi, ``Neural Network Learning Through Optimization Techniques,'' (Invited) Neural Networks Internal Technological Liaison (ITL), IBM Fishkill, NY, May 11-13, 1992.