Contact Information
Interests
I am a third year Ph. D. student under Dr. Vasilis Megalooikonomou. My research interests include data mining, data structures, bioinformatics, discrete and continuous mathematics (particularly number theory, especially number theoretic multiplicative functions, and statistics), artificial intelligence, and artificial creativity. I also greatly enjoy programming and linux system administration and have considerable ability in both areas.
Current Work
I am currently working on several projects in DEnLab, primarily in the areas of tree-like structure analysis in galactography (with the end goal of creating an accurate computer-assisted diagnosis system for the detection of breast cancer) and applications of vector quantization in detecting tissue type and homogeneity in medical images, especially of the brain. More recently, I've been working on my dissertation, which is on development of new theoretical tensor tools and applications to biomedical imaging.
I am DEnLab's current System Administrator; use this email address for problems with the DEnLab server or website.
Academic History
I attended Monmouth University (in West Long Branch, NJ) from 2002 to 2006, receiving a Bachelor of Science degree Summa Cum Laude (indeed, with the highest GPA in my graduating class) in Computer Science with a minor in Mathematics. I was a member of Monmouth University's Science, Technology, and Engineering Advisory Council from October 2004 to May 2007. At Temple, I am a member of the CIS Faculty Selection Committee.
I earned my Master's Degree in Computer and Information Sciences in passing from Temple on August 31, 2007 with a cumulative GPA of 3.89. My Master's Project is titled “A Web-Accessible Framework for Automated Storage and Texture Analysis of Biomedical Images” and was completed on July 31, 2007.
My Erdos number is at most four, along with everyone else in my lab (Erdos → Fraenkel → Yesha → Megalooikonomou → Barnathan).
Publications and Proceedings
- Vasileios Megalooikonomou, Michael Barnathan, Despina Kontos, Predrag R. Bakic, and Andrew D.A. Maidment. A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms. To appear in IEEE Transactions on Medical Imaging.
- Michael Barnathan, Jingjing Zhang, Despina Kontos, Predrag Bakic, Andrew Maidment, and Vasileios Megalooikonomou. Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. To appear in Proceedings of the International Workshop on Digital Mammography (IWDM) 2008, Tucson, AZ, July 20 - 23, 2008.
- Michael Barnathan, Jingjing Zhang, Erickson Miranda, Jennifer Gordon, Feroze Mohamed, Scott Faro, and Vasileios Megalooikonomou. A Texture-Based Methodology for Identifying Tissue Type in Magnetic Resonance Images. In Proceedings of the International Symposium on Biomedical Imaging (ISBI) 2008, Paris, France, May 14 - 17, 2008.
- Michael Barnathan, Jingjing Zhang, and Vasileios Megalooikonomou. A Web-Accessible Framework for the Automated Storage and Texture Analysis of Biomedical Images. In Proceedings of the International Symposium on Biomedical Imaging (ISBI) 2008, Paris, France, May 14 - 17, 2008.
- Michael Barnathan, Rui Li, Vasileios Megalooikonomou, Feroze Mohamed, and Scott Faro. Wavelet Analysis of 4D Motor Task fMRI Data. In Proceedings of Computer Assisted Radiology and Surgery (CARS) 2008, Barcelona, Spain, June 25 - 28, 2008.
- Despina Kontos, Qiang Wang, Erickson Miranda, Jingjing Zhang, Vasileios Megalooikonomou, Zoran Obradovic, Michael Barnathan, Li An, and Rui Li. Data Mining Techniques Applied on Human Brain Image Data, 16th Annual Meeting of the Society for Neuroscience, Oct. 16, 2006.
- R. Scherl and Michael Barnathan. A High-Level Language for Homeland Security Response Plans. In AI Technologies for Homeland Security: Papers from the 2005 AAAI Symposium. Edited by J. Yen and R. Popp. Pages 147 - 148. Stanford, California. March 21-23, 2005.
Independent Research
I believe that research should be a freely-available commodity, irrespective of its publication status. Perhaps the ideas here have not gone through a rigorous peer review, but that does not make them any less worthy of consideration. New ideas can only add to knowledge.
- Michael Barnathan. BACH: A Harmonic Classifier of Music. Attains 75% accuracy between Bach and Beethoven music. Independent research, originating as an AI project. Completed May 6, 2007.
- Michael Barnathan. Construction of an Automated Metasquares Opponent Using the MTD(f) Algorithm. Work in Progress - First Draft Completed January 28, 2007.
- Michael Barnathan. Properties and Applications of the Divisor Function. Presented at the 5th annual STE Research Convention at Monmouth University, April 12, 2006.
- Michael Barnathan. The Quantile Tree: A Tree Structure that uses Statistics to Proactively Maintain Balance. Presented at the 4th annual STE Research Convention at Monmouth University, April 27, 2005.
- Michael Barnathan and R. Scherl. A Platform for Knowledge-Based Programming. Presented at the 4th annual STE convention at Monmouth University, April 27, 2005.
- Michael Barnathan. “The Square-Finding Algorithm”. O(n) algorithm for finding squares on a Metasquares board, where n is the number of spaces on the board. In Metasquarer. Released (with the rest of the first version of Metasquarer) in September 1997 (Age 12). Ported to C++ in April 2007.
Teaching
I'm teaching CS503, Data Structures and Algorithms, as an adjunct professor during the Fall semester at Monmouth University. See my page there for more information.
Hobbies
Hiring
You may view my resume, CV, or portfolio if you'd like to get an idea of where my skills lie. I'm not looking for work right now, but I will be once I graduate and I'd be glad to get in touch with interested parties earlier.
