List of selected theses and dissertations supervised by Dr. Gursel Serpen.
MS Theses & Projects
Dustin Baumgartner, Thesis Title: A New Ensemble Design Based on
Global-Local Learners, In Progress.
Santhosh Pathical, Thesis Title: Feature Space Partitioning for High-Dimensional
Data Sets for Improved Performance within Ensemble Learning Context, In
Progress.
Michael J. Riesen, Project Title: Development of A Bayesian Belief Network Query
Tool and Automatic Query Generation for the NCVS Data, December 2007.
Mike Orra, Project Title: Instantiating a Knowledge Based Artificial Neural
Network based on PIOPED Criteria and Prediction of Retail Sales Trends with
Artificial Neural Networks Using Economic Indicators, January 2006.
Mike Orra, Project Title: Prediction of Retail Sales Trends with Artificial
Neural Networks Using Economic Indicators, May 2005.
Sasha Kozorez, Project Title: Theoretical and Empirical Explorations of
Simultaneous Recurrent Neural Network Dynamics, March 2004.
Mahesh Sabhnani, Thesis Title: Development of An Intrusion Detection System
Through Machine Learning and Rule Based Algorithms for Networked Computing,
August 2002.
Rama Iyer, Thesis Title: Lung Outline Reconstruction for Ventilation-Perfusion
Images Towards PIOPED-Compliant Feature Extraction, August 2001.
Yifeng Xu, Thesis Title: Dynamic System Analysis of Simultaneous Recurrent
Neural Network", August 2001.
Vishvanath Acharya, Thesis Title: Fuzzy Inference System for Diagnosis of
Pulmonary Embolism Using V/Q Scans", May 2000.
Undergraduate Research Projects & Honors Thesis
Abdul Dakkak, Project Title: Optimization of Operational Aspects of
Wireless Sensor Networks in Analogy with Artificial Neural Networks, In Progress
Joel Corra, NSF-REU Research Project Title: Training Simultaneous Recurrent
Neural Network with A Non-recurrent Learning Algorithm, August 2001.
Jeff Geib, NSF-REU Research Project Title: Simultaneous Recurrent Neural
Networks for Large Scale Optimization, August 2000.
Jason Bechtel, Honors Thesis Title: Authentication Using A Neural Network to
Identify Users by Typing Characteristics, August 2000.
List of Selected Publications by Dr. Gursel Serpen.
G. Serpen, D. K. Tekkedil, and M. Orra, "A Knowledge Based Artificial
Neural Network Classifier for Pulmonary Embolism Diagnosis," Computers in
Biology and Medicine, 2008 Feb; 38(2):204-220.
G. Serpen, "Hopfield Network as Static Optimizer: Learning the Weights and
Eliminating the Guesswork," Neural Processing Letters, 2008 Feb; 27(1):1-15.
G. Serpen and A. Patwardhan, "Enhancing Computational Promise of Neural
Optimization for Graph-Theoretic Problems in Real-Time Environment," Dynamics of
Continuous, Discrete, and Impulsive Systems, Part A Suppl., Advances in Neural
Networks, Vol. 14(S1), pp. 168-176, 2007.
G. Serpen and M. Sabhnani, "Measuring Similarity in Feature Space of Knowledge
Entailed by Two Separate Rule Sets," Knowledge Based Systems, Vol. 19, pp.
67-76, 2006.
G. Serpen, "A Heuristic and Its Mathematical Analogue within Artificial Neural
Network Adaptation Context," Neural Network World, Vol. 2/05, pp. 129-136, 2005.
G. Serpen and Y. Xu, "Theoretical Exploration on Local Stability of Simultaneous
Recurrent Neural Network for Static Combinatorial Optimization," Neural
Information Processing – Letters and Reviews, Vol. 2, No. 2, pp. 39-46, 2004.
G. Serpen, "Managing Spatio-Temporal Complexity in Hopfield Neural Network
Simulations for Large-Scale Static Optimization," Mathematics and Computers in
Simulation, pp. 279-293, 2004.
M. Sabhnani and G. Serpen, "On Failure of Machine Learning Algorithms for
Detecting Misuse in KDD Intrusion Detection Data Set", Intelligent Data
Analysis, Vol. 8, No. 4, pp. 403-415, 2004.
G. Serpen and Y. Xu, "Training Simultaneous Recurrent Neural Network with
Non-recurrent Backpropagation Algorithm," Neural Computing and Applications,
Vol. 12, No. 1, pp. 1-9, 2003.
G. Serpen and Y. Xu, "Weight Initialization for Simultaneous Recurrent Neural
Network Trained with A Fixed-Point Learning Algorithm," Neural Processing
Letters, Vol. 17, No. 1, pp. 33-41, 2003.
G. Serpen, R. Iyer, H. Elsamaloty, and I. Parsai, "Automated Lung Outline
Reconstruction in Ventilation-Perfusion Scans Using Principal Component Analysis
Techniques," Computers in Biology and Medicine, Vol. 33, pp. 119-142, 2003.
