B. Gajderowicz and A. Sadeghian, "Ontology Granulation Through Inductive Decision Trees," Accepted, USRW 2009.

H. Rahnama, A. Sadeghian, A. Ferworn, and X. Aubry, "A Context-Aware Development Framework for Building Self-Adaptive Mobile Software for Public Transport Systems," in Proc. of the 2009 16th World Congress on Intelligent Transport Systems, Sept. 2009.

A. Akbarzadeh, and A. Sadeghian, "A Knowledge Based Decision Support Architecture for Designing Brushless DC Motors," Accepted, IEEE ETFA 2009.

H. Pham, G. H. Mahmoud, A. Ferworn and A. Sadeghian, "Intelligent agent control using simple logic-based hierarchical planning," Accepted, SoSE 2009.

B. Gajderowicz, A. Sadeghian, and M. Santos, "Expectation Maximization Enhancement with Evolution Strategy for Stochastic Ontology Mapping," Accepted, GECCO 2009.

V. Akbarzadeh, A. Sadeghian, and M. Santos, "Inducing Relational Fuzzy Classification Rules by means of Cooperative Coevolution," in Foundations of Computational Intelligence, vol 4: Bio-Inspired Data Mining Theoretical Foundations and Applications, Studies in Computational Intelligence, Chapter 6. Springer Verlag, Germany, 2009.

A. Sadeghian, Z. Ye and B. Wu, "Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Neural Networks," IEEE Trans. Instrumentation and Measurement, vol. 58, no. 7, pp. 2253-2263, Jul. 2009.

I. Woungang, G. Ma, M. K. Denko, A. Sadeghian, S. Misra and A. Ferworn, "Survivability in Existing ATM-Based Mesh Networks", Proceedings of IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA-09), Bradford, UK, May 26-29, 2009.

N. Shafiei, H. getu, A. Sadeghian, and M. Papini, "Computer simulation of developing abrasive jet machined profiles including particle interference," Journal of Materials Processing Technology, vol. 209, no. 9, pp. 4366-4378, May 2009.

W. Melek, and A. Sadeghian,"A Theoretic Framework for Intelligent Expert Systems in Medical Encounter Evaluation," Expert System, vol. 26, no. 1, pp. 82-99, 2009.

K. V. Namjoshi, A. Sadeghian and J. D. Lavers, "An analytical estimation of dependence of copper loss in high frequency transformers on winding cross section," in Proc. of the 53rd Magnetism and Magnetic Materials Conf, 2008.

V. Akbarzadeh, M. Davoudpour, and A. Sadeghian, "Neural Network Modeling of Magnetic Hysteresis," in Proc. of the IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1267-1270, 2008.

T. Schmidt, H. Rahnama and A. Sadeghian, "A Review of Applications of Artificial Neural Networks in Cryptosystems," in Proc. of the International Symposium on Soft Computing for Industry (ISSCI 2008).

M. Talbot, M. Arvandi, and A. Sadeghian, "A Neural Network-Based Surface Roughness Discrimination Algorithm," in Proc. of the International Symposium on Intelligent Automation and Control (ISIAC 2008).

M. Arvandi, S. Wu, and A. Sadeghian, "On the Use of Recurrent Neural Networks to Design Symmetric Ciphers," IEEE Computational Intelligence Magazine, vol. 3, no. 2, pp. 42-53, May 2008.

K. V. Namjoshi, J. D. Lavers, and A. Sadeghian, "Tangential Magnetic Field at the Surface of Pot core Transformers," American Journal of Physics, vol. 103, no. 7, April 2008.

N. Papanicolau, J. Lee, B. Banihashemi, B. Debeljevic, S. Ranieri, M. Azrif, R. Karshafian, A. Giles, M. C. Kolios, A. Sadeghian, and G. J. Czarnota, "Novel Low-Frequency Ultrasound Detection of Apoptosis in vitro and in vivo," Accepted, Ultrasonic Imaging and Tissue Characterization Symposium, UITC 2008.

V. Akbarzadeh, A. Sadeghian, and M.V. dos Santos,"Derivation Of Relational Fuzzy Classification Rules Using Evolutionary Computation," Accepted, IEEE International Conference on Fuzzy Systems (IEEE-FUZZ'08), 2008.

H. Davande, M. Amiri, A. Sadeghian, and S. Chartier,"Auto-Associative Memory Based on a New Hybrid Model of SFNN and GRNN: Performance Comparison with NDRAM, ART2 and MLP," Accepted, IEEE International Joint Conference on Neural Networks, 2008.

H. Rahnama, A. M. Madni, A. Sadeghian , B. Gajderowicz, and C. Mawson,"Adaptive Context for Generic Pattern Matching in Ad Hoc Social Networks," Accepted, the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP 2008), 2008.

K. V. Namjoahi, J. D. Lavers, and A. Sadeghian, "A Method for Quick Estimation of Tangential Magnetic Field at the Surface of Pot Core Transformers," Accepted, 52nd Magnetism and Magnetic Materials Conference, 2007.

M. Amiri, H. Davande, A. Sadeghian and S. A. Seyyedsalehi, "Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN," in Proc. of the Int'l Joint Conf. on Neural Networks, pp. 2664-2670, 2007.

M. Arvandi, and A. Sadeghian, "Chosen Plaintext Attack Against Neural Network-Based Symmetric Cipher," in Proc. of the Int'l Joint Conf. on Neural Networks, pp. 847-851, 2007.

M. Afshin, A. Sadeghian,and K. Raahemifar, "On Efficient Tuning of LS-SVM Hyper-Parameters in Short-Term Load Forecasting: A Comparative Study," in Proc. of the 2007 IEEE Power Engineering Society General Meeting (IEEE-PES).

I. Woungang, S. Misra, A. Sadeghian, and A. Ferworn, "A Minimum Distance Bound on 1-Generator Quasi-Cyclic Codes," in Proc. of the 10th Canadian Workshop on Information Theory (CWIT 2007), pp. 156-159, 2007.

H. Pham, Q. H. Mahmoud, A. Ferworn, and A. Sadeghian, "Applying Model-Driven Development to Pervasive System Engineering," in Proc. of the First Workshop on Software Engineering for Pervasive Computing Applications, Systems and Environments 2007.

H. Rahnama, A. Sadeghian, and A. Madni, "Social Context Awareness in Ad Hoc System of Systems," in Proc. of IEEE System of Systems 2007.

A. Ferworn, A. Sadeghian, K. Barnum, H. Rahnama, and I. Woungang, "Rubble Search with Canine Augmentation Technology," in Proc. of IEEE System of Systems 2007.

A. Ferworn, A. Sadeghian, K. Barnum, H. Rahnama, and I. Woungang,"Canine as Robot in Directed Search" in Proc. of IEEE System of Systems 2007.

H. Pham, A. Ferworn, Q. H. Mahmoud, and A. Sadeghian, "Applying Model-Driven Development Techniques to the Development of Search and Rescue Systems," in Proc. of IEEE System of Systems 2007.

M. Afshin,and A. Sadeghian, "PCA-based Least Squares Support Vector Machines in Week-Ahead Load Forecasting," in Proc. of the 2007 IEEE Industrial and Commercial Power Systems Technical Conference (IEEE-I&CPS).

I. Woungang, A. Tsemo, A. Sadeghian, and S. Misra, "An Algebraic Characterization of a class of Quasi-Cylic Code," in Proc. of Blackwell-Tapia conference in Mathematics, Institute for Mathematics and its Applications, Minneapolis, Nov. 2006.

H. Rahnama, A. Sadeghian and W. Melek, "Fuzzy Bayesian Moels for Classification and Diagnosis in generalized Cardiology Discipline"in Proc. of the World Automation Conf., Jul. 2006.

M. Arvandi, S. Wu, A. Sadeghian, W. Melek, and I. Woungang, “Symmetric Cipher Design Using Recurrent Neura Networks" in the Proc. of the 2006 International Joint Conference on Neural Networks (IJCNN 2006), pp. 2039 - 2046.

H. Rahnama, and A. Sadeghian, “A Generic Expert System with Fuzzy Bayesian Inference for Medical Classification and Diagnosis in Cardiology,”in Proc. of the 5th ICUE 2006.

I. Woungang, S. Misra, and A. Sadeghian, “A Lower Bound on the Minimum Distance of a 1-Generator Quasi-Cyclic Code,”in Proc. of the 23rd Queen's Biennial Symposium on Communications, pp. 63-65, May 2006.

A. Ferworn, A. Sadeghian, K. Barnum, H. Rahnama, H. Pham, C. Erickson, D. Ostrom, and L. Dell’Agnese, “Urban Search and Rescue with Canine Augmentation Technology,” 1st International Conference on System of Systems Engineering (SoSE’2006), accepted. 

I. Woungang, A. Sadeghian, S. Wu, S. Misra, and M. Arvandi, "Wireless Web Security Using a Neural Network-Based Cipher," Chapter II in Web Services Security and E-Business, G. Radhammani and G. S.V. Radha Krishna Rao (Eds.), Idea Group Publishing Inc., USA, ISBN: 1-59904-168-5, pp. 32-56, 2006.

Z. Ye, A. Sadeghian, and B. Wu, “Mechanical Fault Diagnosis for Induction Motor with Variable Speed Drives using Adaptive Neuro-Fuzzy Inference System,” Electric Power Systems Research, vol. 76, no. 9, pp. 742-752, Jun. 2006.

W. Melek, A. Sadeghian, H. Najjaran, and M. Noorfar, "A Neuro Fuzzy-based Expert System for Disease Diagnosis," in Proc. of the 2005 IEEE International Conference on Systems, Man and Cybernetics, pp. 3736-3741, Oct. 2005.

A. Sadeghian and J. D. Lavers, "Implementation of Knowledge-Based System for Iron Core Inductor Design," IEEE Trans. on Magnetics, vol. 40, no. 6, pp. 3495 - 3504, Nov. 2004.

I. Woungang, D. Sa, A. Sadeghian, and W. Melek, "Design of Broadband Networks Based on the Virtual Network Concept," in Proc. of the 3rd ICUE 2004.

I. Woungang, A. Sadeghian, and W. Melek, "Bounds on the Minimum Distances of a Class of q-ary Images of q^m-ary Irreducible Cyclic Codes," in Proc. of the 2004 IEEE International Symposium on Information Theory, Jul. 2004

W. Melek, A. Sadeghian, and A. Goldenberg, "Study of the Generalization Capability of the Sugeno-Yasukawa Class of Fuzzy Inference Systems," in Proc. of the IPMU (Information Processing and Management of Uncertainty in Knowledge-Based Systems) 2004.

Z. Ye, B. Wu and A. Sadeghian, "Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition,"IEEE Trans. on Industrial Electronics, vol. 50, no. 6, pp. 1217-1228, Dec. 2003.

A. Sadeghian,"An Interpretation of Preisach-Krasnoselskii Hysteresis Model with the use of Artificial Neural Networks," in Proc. of the IEEE International Conference on Magnetics (INTERMAG'2002).

V. W. Choy, A. Sadeghian, M. D. Sherar and W. M. Whelan, "Evaluation of a Fuzzy Logic Controller for Laser Thermal Therapy," in Proc. of SPIE, Vol. 4617, p. 77-86, Laser Tissue Interaction XIII, Steven Jacques; Ed., 2002.

A. Sadeghian, "Nonlinear Neuro-Fuzzy Prediction: Methodology, Design & Application,"in Proc. of the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'2001), vol. 2, pp. 1022-1026, Dec. 2001.

A. Sadeghian and J. D. Lavers, "On the Use of Recurrent Neuro-Fuzzy Networks for Predictive Control," in Proc. of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS'2001), pp. 233-239,Jul. 2001.

Z. Ye, B. Wu and A. Sadeghian, "Electrical Machine Fault Detection using Adaptive Neuro-Fuzzy Inference," in Proc. of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS'2001),pp. 390-395, Jul. 2001.

Z. Ye, B. Wu and A. Sadeghian, "Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition," in Proc. of the Applied Power Electronics Conference (APEC'2001), pp. 1022-1029, Mar. 2001.

Z. Ye, B. Wu and A. Sadeghian, "Induction Motor Mechanical Fault Online Diagnosis with the Application of Artificial Neural Network," in Proc. of the Applied Power Electronics Conference (APEC'2001), pp. 1015-1021, Mar. 2001.

A. Sadeghian and J. D. Lavers, "Application of Feedforward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces," Proc. of The IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'2000), vol. 4, pp. 420-425, July 2000.

A. Sadeghian and J. D. Lavers, "Neuro-Fuzzy Predictors for the Approximate Prediction of v-i Characteristic of Electric Arc Furnaces," Proc. of The 19th International Meeting of the North American Fuzzy Information ProcessingSociety (NAFIPS'2000), pp. 183-187, July 2000.

A. Sadeghian and J. D. Lavers, "Recurrent Neuro-Fuzzy Predictor for the Prediction of vi characteristics of Electric Arc Furnaces," in Proc. of The 9th IEEE International Conference on Fuzzy Systems (IEEE-FUZZ'2000), Vol. 1, pp. 110-115, May 2000.

A. Sadeghian and J. D. Lavers, "Implementation of a Knowledge-Based System Approach for Inductor and Transformer Design," in Proc. of The 8th European Conference on Power Electronics and Applications (EPE'99), Sept. 99.

A. Sadeghian and J. D. Lavers, "Nonlinear Black-Box Modeling of Electric Arc Furnace: An Application of Fuzzy Logic Systems," in Proc. of The 8th IEEE International Conference on Fuzzy Systems (IEEE-FUZZ'99), vol. 1, pp. 234-239, Aug. 99.

A. Sadeghian and J. D. Lavers, "Application of Radial Basis Functions to Model Electric Arc Furnaces," in Proc. of IEEE International Joint Conference on Neural networks (IJCNN'99), Vol. 6, pp. 3996-4001, July 99.

A. Sadeghian and J. D. Lavers, "Application of Adaptive Fuzzy Logic Systems to Model Electric Arc Furnaces," in Proc. of The 18th meeting of North American Fuzzy Information Processing Society (NAFIPS'99), pp. 854-858 ,June 99.