Razvan Andonie
Professor
Research
My current research areas are: neural networks, deep learning, machine learning, artificial intelligence, and quantum machine learning. I am especially interested in implementing computational intelligence applications on high-performance architectures.
My PhD Students
Education
- PhD in Mathematics/Computer Science, Department of Mathematics and Computer Science, University of Bucharest, Romania. Dissertation: Syntactic and Informational Aspects of Pattern Recognition. Advisor: Solomon Marcus. I can trace my PhD adviser relations back 14 generations over 350 years, in forward chronological order: Erhard Weigel (1650), Gottfried Wilhelm Leibniz (1666), Jacob Bernoulli, Johann Bernoulli (1694), Leonhard Euler (1726), Joseph Louis Lagrange, Simeon Denis Poisson, Michel Chasles (1814), Gaston Darboux (1866), Emil Borel (1893) and Henri Lebesque (1902), Paul Montel (1907), Miron Nicolescu (1928), Solomon Marcus (1956), Razvan Andonie (1984).
- Master of Science in Mathematics/Computer Science, Department of Mathematics and Computer Science, University of Cluj-Napoca, Romania. In the Shanghai World Academic Ranking (2013), this department was in position 101-150.
News
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Machine Learning and Applications Summer School (MLASS 2022), July 26-29, 2022, Brasov, Romania
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Listen a radio interview about my research on wine quality prediction with some of my colleagues from C.W.U.
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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery (Editors: Boris Kovalerchuk, Kawa Nazemi, Răzvan Andonie, Nuno Datia, Ebad Banissi), Springer, 2022.
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Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (Editors: Boris Kovalerchuk, Kawa Nazemi, Răzvan Andonie, Nuno Datia, Ebad Banissi), Springer, 2024.
Academic Activities
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Teaching
My Online Textbooks
- Fundamental Algorithms - A C++ View (in Romanian), R. Andonie and I. Garbacea, Libris, Cluj-Napoca, 1995, ISBN 973-96494-5-9 *
- Computational Intelligence (in Romanian), R. Andonie and A. Cațaron, Transilvania University Press, Brasov, Romania, 2002
- Algorithms and Data Structures: Applications in Image Processing and Bioinformatics (in Romanian), R. Andonie, A. Cațaron, Z. Gaspar, H. Galmeanu, M. Ivanovici, I. Lorentz, L. Sasu, Transilvania University Press, Brasov, Romania, 2012, ISBN 978-606-19-0058-9
*All rights reserved. No part of these books may be reproduced, in any form or by any means, without permission in writing from the authors. Please do not re-post these documents on the internet. If you wish to make them available to your students, point them directly to this site.
Central Washington University, Ellensburg, WA- Cybersecurity (CS 430, introduced)
- Advanced Data Structures and Algorithms (CS 528, introduced)
- Advanced Algorithms for Scientific Computing (CS 529, introduced)
- Data Structures (CS 301)
- Advanced Data Structures (CS 302)
- The Logical Basis of Computing (CS 105)
- Advanced Visual Basic Programming (CS367)
- Algorithm Analysis (CS 427)
- Artificial Intelligence (CS 455)
- Computational Intelligence and Machine Learning (CS 457, introduced)
- P2P Systems (CS 474, introduced)
- Parallel Computing (CS 473, introduced)
- Principles of Language Design I (CS 361)
- Principles of Language Design II (CS 362)
- Programming Fundamentals I (CS 110)
- Programming Fundamentals II (CS 111)
- Research Seminar (CS 589, introduced)
- Software Engineering Project (CS 481)
- Computer Programming with Engineering Applications (CS 2073)
- Discrete Mathematical Structures (CS 3233)
- Introduction to Artificial Neural Networks (CS 4793)
- Software Engineering (CS 3773)
- Data Structures and Algorithm Analysis (CSC 2200)
- Introduction to Computer Science (CSC 1000)
- Parallel Computing (CSC 7220)
- Parallel/Distributed Computing Seminar (CSC 8220)
- Problem Solving and Programming in C++ (CSC 1100)
- Computational Intelligence (introduced), Level: Graduate
- Algorithms and Complexity (introduced), Level: Undergraduate
- Data Mining (introduced), Level: Graduate
- Parallel Algorithms and Architectures (introduced), Level: Graduate
- Neural Networks for Prediction (introduced), Level: Graduate
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Research Publications
Journal Publications
Andonie, R., Muşat, B. Signs and Supersigns in Deep Learning, International Journal of Computers Communications & Control, 19, 6392, 2024, 1-21.
Paler, A., Sasu, L., Florea, A., Andonie, R. Machine Learning Optimization of Quantum Circuit Layouts, ACM Transactions on Quantum Computing, 4, 2023, 1-25.
Galmeanu, H., Andonie, R. Weighted Incremental–Decremental Support Vector Machines for Concept Drift with Shifting Window, Neural Networks, 152, 2022, 528-541.
Muşat B., Andonie R. Information Bottleneck in Deep Learning - A Semiotic Approach, International Journal of Computers Communications & Control, 17, 2022, 1-16, ISSN 1841-9844.
Moldovan, A., Cataron, A., Andonie, R. Learning in Convolutional Neural Networks Accelerated by Transfer Entropy, Entropy, 23, 2021.
Galmeanu, H., Andonie, R. Concept Drift Adaptation with Incremental-Decremental SVM, Applied Sciences, 10,(20):9644, 2021.
Brasoveanu, A., Andonie, R. Integrating Machine Learning Techniques in Semantic Fake News Detection, Neural Processing Letters, 53, 2021, 3055-3072.
Muşat, B., Andonie, R. Semiotic Aggregation in Deep Learning, Entropy, 22, 2020, https://doi.org/10.3390/e22121365.
Andonie, R., Florea, A. Weighted Random Search for CNN Hyperparameter Optimization, International Journal of Computers Communications & Control, 15, 2020, ISSN 1841-9844.
Moldovan, A., Cataron, A., Andonie, R. Learning in Feedforward Neural Networks Accelerated by Transfer Entropy, Entropy, 22, 2020. Selected by the Academic Editor as being of special interest and featured in a special edition of Entropy entitled “Editor’s Choice Articles”.
Andonie R. Hyperparameter Optimization in Learning Systems, Journal of Membrane Computing, 1, 2019, 279-291.
Brice M., Andonie R. Automated Morgan Keenan Classification of Observed Stellar Collected by the Sloan Digital Sky Survey using a Single Classifier, The Astronomical Journal, 158, 2019.
Florea AC, Andonie R. Weighted Random Search for Hyperparameter Optimization, International Journal of Computers, Communications & Control, 14, 2019, 154-169, ISSN: 1841-9836.
Cataron A., Andonie R. Transfer Information Energy: A Quantitative Indicator of Information Transfer between Time Series, Entropy, 20, 2018.
Lorentz I., Andonie R., Sasu L. Parallel Bayesian ARTMAP and Its OpenCL Implementation, Neural Processing Letters, 47, 2018, 491-507.
Cataron A., Andonie R., Chueh Y. Asymptotically Unbiased Estimation of A Nonsymmetric Dependence Measure Applied to Sensor Data Analytics and Financial Time Series, International Journal of Computers, Communications & Control, 12, 2017, 475-491, ISSN 1841-9836.
Galmeanu H., Sasu L., Andonie R. Incremental and Decremental SVM for Regression, International Journal of Computers, Communications & Control, 11, 2016, 755-775, ISSN 1841-9836.
Lorentz I., Andonie R., Fabry-Asztalos L. Accelerating Molecular Structure Determination based on Inter-atomic Distances using OpenCL, IEEE Transactions on Parallel & Distributed Systems, 26, 2015, 3250-3263.
Popovici R., Andonie R., Szeliga, W.M., Melbourne T.I., Scrivner, Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers, International Journal of Computers, Communications & Control, 10, 2015, 78-88, ISSN 1841-9836.
Cațaron A., Andonie R., Chueh, Y. Asymptotically Unbiased Estimator of the Informational Energy with kNN, International Journal of Computers, Communications & Control, 8, 2013, 689-698, ISSN 1841-9836.
Sasu L., Andonie R. Bayesian ARTMAP for Regression, Neural Networks, 46, 2013, 23-31.
Sasu L., Andonie R. Function Approximation with ARTMAP Architectures, International Journal of Computers, Communications & Control, 7, 2012, 957-967, ISSN 1841-9836.
Andonie R., Fabry-Asztalos L., Abdul-Wahid B., Abdul-Wahid S., Barker B., Magill L. Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8, 2011, 80-93.
Andonie R., Dzitac I. How to Write a Good Paper in Computer Science and How Will It Be Measures by ISI Web of Knowledge, International Journal of Computers, Communications & Control, 5, 2010, 432-446.
Cataron A., Andonie R. Energy Supervised Relevance Neural Gas for Feature Ranking, Neural Processing Letters, 32, 2010, 59-73.
Andonie, R. Extreme Data Mining: Inference from Small Datasets, International Journal of Computers, Communications & Control, 5, 2010, 280-291.
Andonie R., Sasu L., Cataron A. A Novel Fuzzy ARTMAP Architecture with Adaptive Feature Weights based on Onicescu’s Informational Energy, International Journal of Computers, Communications & Control, 4, 2009, 104-117, ISSN 1841-9836.
Fabry-Asztalos, L., Andonie R., Collar C., Abdul-Wahid S., Salim, N. A Genetic Algorithm Optimized Fuzzy Neural Network Analysis of the Affinity of Inhibitors for HIV-1 Protease, Bioorganic & Medicinal Chemistry, 16, 2008, 2903-2911.
Cataron A., Sasu L. Andonie R. The Impact of Feature Weighting on the Fuzzy ARTMAP Neural Network, Bulletin of the Transylvania University of Brasov, Series A, 14, 2007, 215-222, ISSN 1223-964X.
Andonie R., Russo J.E., Dean R. Crossing the Rubicon: A Generic Intelligent Advisor, International Journal of Computers, Communications & Control, 2, 2007, 5-16, ISSN 1841-9836.
Andonie R., Sasu L. Fuzzy ARTMAP with Input Relevances, IEEE Transactions on Neural Networks, 17, 2006, 929-941.
Andonie R., Chronopoulos A.T., Grosu D., Galmeanu H. Efficient Concurrent Implementation of a Neural Network Algorithm, Concurrency and Computation: Practice and Experience, John Wiley & Sons, 18, 2006, 1559-1573.
Andonie R. The New Computational Power of Neural Networks, Neural Network World, 6, 1996, 469–475.
Andonie R., Carai C. Gaussian Smoothing by Optimal Iterated Uniform Filters, Computers and Artificial Intelligence, 11, 1992, 363–373.
Andonie R. A Converse H–Theorem for Inductive Learning with Subjective Probabilities, Computers and Artificial Intelligence, 9, 1990, 159–167.
Waniek D., Andonie R., Garbacea I., Cismas S. The Iris Image Analysis for Health Science and Medical Science Research, Alternative Medicine, 3, VNU Science Press, Utrecht, 1990, 716–720.
Andonie R. On The Inference of Probabilistic Regular Grammars, Revue roumaine de linguistique, Cahiers de linguistique theorique et appliquee, 24, 1987, 3–5.
Andonie R. Semiotic Aggregation in Computer Vision, Revue roumaine de linguistique, Cahiers de linguistique theorique et appliquee, 24, 1987, 103–107.
Andonie R., Petrescu F. Interacting Systems and Informational Energy, Foundations of Control Engineering, 11, 1986, 53‑59.
Marian A., Puscas P., Andonie R. The Bases of a Metalanguage in the Cybernetic Aesthetics (Possible Relationships Between The Visual and Sonorous Structures at The Level of Near, Mid, and Distant Orders), Revue roumaine de linguistique, 30, 1985, 51–65.
Andonie R., Marian A. A Probabilistic Model in the Automatic Generation of Visual Structures, Revue roumaine de linguistique, Cahiers de linguistique theorique et appliquee, 22, 1985, 3–17.
Andonie R. Picture Proportional Processing Grammars in Syntactic Image Modeling, Revue roumaine de linguistique, Cahiers de linguistique theorique et appliquee, 21, 1984, 3–19.
Andonie R. A Generative Picture Processing Device Used in Two–Dimensional Cutting Problems, Revue roumaine de linguistique, Cahiers de linguistique theorique et appliquee, 20, 1983, 3–13.
Andonie, R. Cybernetical Model of A Learning Process (in Romanian), Studii si cercetari matematice, 32, 1980, 225-234.
Andonie R. Simulierung eines Lernprozesses mit subjektiven Wahrscheinlichkeiten, in Grundlagenstudien aus Kybernetik und Geisteswissenschaft, 20/2, Herman Schroedel Verlag KG, Hannover, 1979, 45-50.
Bereczk S., Andonie R. Biotechnological Aspects of Perception and Memorization (in Romanian), Studii si cercetari de biotehnologie, 7, Institutul Politehnic Bucuresti, 1979, 362-369.
Andonie R., Marian A., Puscas P. Visual-Sonorous Correspondences (in Romanian), Studii si cercetari de biotehnologie, 7, Institutul Politehnic Bucuresti, 1979, 56-76.
Stan I., Andonie R. Cybernetical Model of the Artist‑Consumer Relationship (in Romanian), Studia Universitatis Babes‑Bolyai, 2, 1977, 9-15.
Conference Publications
Chao Huang Lin, Razvan Andonie, Adrian-Catalin Florea, Optimized Fully Convolutional Neural Network Encoder for Water Detection in SAR Images, Proceedings of the 26th International Conference Information Visualization, Vienna, Austria, 19-22 July 2022, IEEE Computer Society, doi: 10.1109/IV56949.2022.00064, 343-350.
Dunn, A., Inkpen, D., Andonie, R., Evaluation of Deep Learning Context-Sensitive Visualization Models, Proceedings of the 26th International Conference Information Visualization, Vienna, Austria, 19-22 July 2022, IEEE Computer Society, doi: 10.1109/IV56949.2022.00066, 359-365.
Dunn, A., Inkpen, D., Andonie, R. Context-Sensitive Visualization of Deep Learning Natural Language Processing Models, Proceedings of the 25th International Conference Information Visualisation, Melbourne, Australia, July 5-9, 2021, IEEE Computer Society, https://doi.org/10.1109/IV53921.2021.00035, Volume: 1, 170-175.
Adrian Brasoveanu, Razvan Andonie, Visualizing Transformers for NLP: A Brief Survey, Proceedings of the 24th International Conference Information Visualisation, Melbourne, Victoria, Australia, September 7-11, 2020, IEEE Computer Society, 257-266
Michael Brice, Razvan Andonie, Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019.
Dmytro Dovhalets, Boris Kovalerchuk, Szilard Vajda, Razvan Andonie. Deep Learning of 2-D Images Representing n-D Data in General Line Coordinates, Proceedings of the 4th International Symposium on Affective Science and Engineering (ISASE2018), May 31 - June 02, 2018, Eastern Washington University, Spokane, USA, Japan Society of Kansei Engineering (publisher), ISSN: 2433-5428 1-6.
Lemley, J., Andonie, R., Odah, A., Heer, P., Widger, J., Erkul, B., Magill, L., Littlefield, K. CWU-Chess: An Adaptive Chess Program that Improves After Each Game, Proceedings of the IEEE Games, Entertainment, Media Conference (GEM), August 15-17, 2018, Galway, Ireland, 86-89.
Chueh, Y., Cataron, A., Andonie, R. Mortality Rate Modeling of Joint Lives and Survivor Insurance Contracts Tested by A Novel Unilateral Dependence Measure, Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, 2016, Athens, Greece, 1-8.
Andonie, R., Johansen, A., Mumma, A., Pinkart, H., Vajda, S. Cost Efficient Prediction of Cabernet Sauvignon Wine Quality, Proceedings of the 2016 IEEE Symposium on Computational Intelligence for Industrial Applications (CIES) 2016, IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, 2016, Athens, Greece, 1-8.
Lemley, J., Abdul-Wahid, S., Banik, D., Andonie, R. Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images, Proceedings of The 27th Modern Artificial Intelligence and Cognitive Science Conference (MAICS 2016), Dayton, OH, USA, April 22-23, 2016, 97-102, ISSN: 1613-0073.
Lemley, J., Jagodzinski, F., Andonie, R. Big Holes in Big Data: A Monte-Carlo Algorithm for Detecting Large Hyper-rectangles in High Dimensional Data, Proceedings of COMPSAC 2016: The 40th IEEE Computer Society International Conference on Computers, Software & Applications, Atlanta, Georgia, USA, June 10-14, 2016, 563-571. Less than 18% of the submitted papers were accepted as full papers. A Python implementation produced by Pavel Komarov is available on GitHub.
Cataron, A., Andonie, R., Chueh, Y. Financial Data Analysis using The Informational Energy Dependency Measure, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015, 1-8.
Popovici, R., Andonie, R. Sensor Signal Clustering with Self-Organizing Maps, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015, 1-8.
Popovici, R., Andonie, R. Music Genre Classification with Self-Organizing Maps and Edit Distance, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015, 1-7.
Smithrud, J., McElroy, P., Andonie R. Massively Parallel kNN using CUDA on Spam-Classification, Proceedings of The 26th Modern Artificial Intelligence and Cognitive Science Conference (MAICS 2015), North Carolina A&T State University, Greensboro, North Carolina, USA, April 25-26, 2015, 175-180, ISSN: 1613-0073.
Cataron, A., Andonie, R., Chueh, Y. kNN Estimation of The Unilateral Dependency Measure between Random Variables, Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), IEEE Symposium Series on Computational Intelligence (SSCI), December 9-12, 2014, Orlando, Florida, 471-478, ISBN: 978-1-4799-4519-1.
Popovici, R., Andonie, R., Szeliga, W.M., Melbourne, T.I., Scrivner, C.W. Clustering and Visualization of Geodetic Array Data Streams using Self-Organizing Maps, Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vison Processing (CIMSIVP 2014), Symposium Series on Computational Intelligence (SSCI), December 9-12, 2014, Orlando, Florida, 182-189, ISBN: 978-1-4799-4504-7.
Comanelea, V., Ivanovici, M., Andonie, R. Feature Extraction from Satellite Images: A GPU-Based Machine Learning Approach, Proceedings of the 2014 Conference on Big Data from Space (BiDS '14), November 12-14, 2014, European Space Agency (ESA) / European Space Research Institute (ESRIN), Frascati, Italy, 307-310, ISBN: 978-92-79-43252-1.
Andonie R., Fabry-Asztalos L., Sasu, L. Bayesian ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2014), May 21-24, 2014, Honolulu, Hawaii, 1-8.
Cataron A., Andonie R. How To Infer The Informational Energy from Small Datasets, Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment, (OPTIM'2012), Brasov, Romania, May 24-26, 2012, 1065-1070.
Lorentz I., Andonie R., Fabry-Asztalos L. Solving Molecular Distance Geometry Problems in OpenCL, Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment, (OPTIM'2012), Brasov, Romania, May 24-26, 2012, 1421-1428.
Fabry-Asztalos L., Lorentz I., Andonie R. Molecular Distance Geometry Optimization using Geometric Build-up and Evolutionary Techniques on GPU, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2012), May 9-12, 2012, San Diego, USA, 321-328.
Dumitrescu M., Andonie R. Clustering Superpeers in P2P Networks by Growing Neural Gas, Proceedings of the Twentieth Euromicro Conference on Parallel, Distributed, and Network-Based Processing (PDP 2012), Feb. 15-17, Garching, Germany, IEEE Computer Society Press, Los Alamitos, 2012, 311-318, ISBN: 978-0-7695-44633-9.
Lorentz I., Malita M. Andonie R. Evolutionary Computation on the Connex Architecture, Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2011), Cincinnati, USA, April 16-17, 2011, 146-153, ISSN: 1613-0073.
Lorentz I., Malita M., Andonie R. Fitting FFT onto an Energy Efficient Massively Parallel Architecture, Proceedings of the Second International Forum on Next-Generation Multicore/Manycore Technologies (IFMT’10), ACM/IEEE International Symposium on Computer Architecture (ISCA 2010), Saint-Malo, France, June 19-23, 2010, ACM, ISBN: 978-1-4503-0008-7.
Galmeanu H., Andonie R. A Multi-Class Incremental and Decremental SVM Approach using Adaptive Directed Acyclic Graphs, Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS'09), Klagenfurt, Austria, September 24-26, 2009, 114-119.
Andonie R., Magill L., Schwing J., Sisson B., Wysocki B. An Adaptive Replication Algorithm in P2P File Systems with Unreliable Nodes, Proceedings of the 2009 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'09), Las Vegas, July 13-16, 398-404.
Andonie R., Fabry‑Asztalos L., Crivat B., Abdul‑Wahid S., Abdul‑Wahid, B. Fuzzy ARTMAP Rule Extraction in Computational Chemistry, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, June 14-19, 2009, ISSN 1098-7576, ISBN 978-1-4244-3553-1, 157-163 – Best Poster Award Runner-up.
Galmeanu H., Andonie R. Incremental / Decremental SVM for Function Approximation, Proceedings of the 11th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM 2008), Brasov, Romania, May 22-24, 2008, ISSN 1842-0133, ISBN 978-973-131-031-2, 155-160.
Andonie R., Cataron A., Sasu L. Fuzzy ARTMAP with Feature Weighting, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2008), A. Gammerman (ed.), Innsbruck, Austria, Febr. 11–13, 2008, ACTA Press, ISBN 978-0-88986-709-3, 91-96.
Andonie R., Fabry‑Asztalos L., Magill L., Abdul‑Wahid S. A New Fuzzy ARTMAP Approach for Predicting Biological Activity of Potential HIV‑1 Protease Inhibitors, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), San Jose, CA, Nov 2-4, 2007, IEEE Computer Society Press, ISBN 0-7695-3031-1, 56-61.
Andonie R., Malita M. The Connex Array as a Neural Network Accelerator, Proceedings of the IASTED International Conference on Computational Intelligence (CI 2007), R. Andonie (ed.), Banff, Alberta, Canada, July 2-4, 2007, ACTA Press, ISBN: 978-0-88986-671-3, 163-167.
Abdul-Wahid S., Andonie R., Lemley J., Schwing J., Widger J. Adaptive Distributed Database Replication Through Colonies of Pogo Ants, Proceedings of the IEEE International Parallel & Distributed Processing Symposium (IPDPS 2007), Long Beach, California, March 26-30, 2007, ISBN 1-4244-0909-8.
Abdul-Wahid S., Andonie R., Lemley J., Schwing, J., Widger J. Event-Driven Load Balancing of Partially Replicated Objects through a Swarm of Mobile Agents, Proceedings of the IASTED International Conference on Computational Intelligence (CI 2006), B. Kovalerchuk (ed.), San Francisco, November 20-22, 2006, ACTA Press, ISBN 0-88986-603-1, 110-115.
Andonie R., Fabry-Asztalos L., Abdul-Wahid S., Collar C., Salim N. An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors, Proceedings of the IEEE International Conference on Neural Networks (IJCNN 2006), Vancouver, BC, Canada, July 16-21, 2006, 7495-7502 - Best Session Presentation Award.
Cataron A., Andonie R. An Informational Energy Approach to Feature Selection, Proceedings of the 10th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM’2006), Brasov, Romania, May 18-19, 2006, 129-134, ISBN 973-635-705-8, 978-973-705-3.
Andonie R., Fabry-Asztalos L., Collar C., Abdul-Wahid S., Salim N. Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB’05), San Diego, November 14-15, 2005, 113-120.
Andonie R., Cataron A. Feature Ranking using Supervised Neural Gas and Informational Energy, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), Montreal, July 31-August 4, 2005, 1269-1273.
Andonie R., Russo J. E., Dean R. Crossing the Rubicon for An Intelligent Advisor, Proceedings of the Workshop “Beyond Personalization 2005”, in conjunction with the 2005 International Conference on Intelligent User Interfaces (IUI’05), M. van Setten, S. McNee, J. Konstant (eds.), January 9, 2005, San Diego, California, 7-12.
Cataron A., Andonie R. Energy Generalized LVQ with Relevance Factors, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), Budapest, Hungary, July 25-29, 2004, 1421-1426.
Andonie R. Kovalerchuk, B. Neural Networks for Data Mining: Constrains and Open Problems, Proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN’2004), M. Verleysen (ed.), Bruges, Belgium, April 28-30, 2004, 449-458 – Invited Tutorial Paper.
Cataron, A., Andonie R. Computing OWA Weights as Relevance Factors, Proceedings of the 9th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM’2004), May 13-14, 2004, Brasov, Romania, ISBN 973-635-285-4, 173-178.
Andonie R., Cataron A. An Informational Energy LVQ Approach for Feature Ranking, Proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN’2004), M. Verleysen (ed.), Bruges, Belgium, April 28-30, 2004, 471-476.
Andonie R., Sasu L. Convergence Properties of a Fuzzy ARTMAP Network, Proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN’2004), M. Verleysen (ed.), Bruges, Belgium, April 28-30, 2004, 495-500.
Cataron A., Andonie R. RLVQ Determination Using OWA Operators, Proceedings of the Third IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), M.H. Hamza (ed.), Benalmádena, Spain, ACTA Press, September 8-10, 2003, 434-438.
Andonie R., Sasu L., Beiu V. Fuzzy ARTMAP with Relevance Factor, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2003), Portland, Oregon, July 20-24, 2003, 1975-1980.
Beiu V., Quintana, J.M., Avedilo, M.J., Andonie R. Differential Implementations of Threshold Logic Gates, Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (SCS 2003), Iasi, Romania, July 10-11, 2003, 489-492.
Andonie R., Sasu L., Beiu V. A Modified Fuzzy ARTMAP Architecture for Incremental Learning Function Approximation, in: Neural Networks and Computational Intelligence, O. Castillo (ed.), Anaheim, California, ACTA Press, Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003), Cancun, Mexico, May 19-21, 2003, 124-129.
Andonie R., Sasu L. A Fuzzy ARTMAP Probability Estimator with Relevance Factor, Proceedings of the 11th European Symposium on Artificial Neural Networks (ESANN’2003), M. Verleysen (ed.), Bruges, Belgium, April 23-25, 2003, 367-372.
Chronopoulos A.T., Andonie R., Benche M., Grosu D. A Class of Loop Self-Scheduling for Heterogeneous Clusters, Proceedings of the Third IEEE International Conference on Cluster Computing (Cluster 2001), Newport Beach, California, October 8-11, 2001, 282-291.
Andonie R., Chronopoulos A.T., Grosu, D., Galmeanu, H. Distributed Backpropagation Neural Networks on a PVM Heterogeneous System, Proceedings of the 10th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS'98), Y. Pan, S.G. Akl, K. Li (eds.), IASTED-ACTA Press, Anaheim, 1998, 555-560.
Andonie R. Time-Space Trade-Offs in Parallel and Neural Computing, Proceedings of the EIS’98 International ICSC Symposium on Engineering of Intelligent Systems, ICSC Academic Press,Tenerife, Spain, February 11-13, 1998, 427-432.
Owens F.J., Andonie R., Zheng G.H., Cataron A., Manciulea S. A Comparative Study of the Multi-Layer Perceptron, the Multi-Output Layer Perceptron, the Time-Delay Neural Network and the Kohonen Self-Organizing Map in an Automatic Speech Recognition Task, Proceedings of the EIS’98 International ICSC Symposium on Engineering of Intelligent Systems, ICSC Academic Press, Tenerife, Spain, February 11-13, 1998, 624-629.
Andonie R. Time-Space Symmetry in Parallel and Neural Computing, Proceedings of the Satellite Conference of ECM’96 “Symmetry and Anti-Symmetry in Mathematics, Formal Languages and Computer Science”, Brasov, 18-19 July, 1996, 7-8.
Andonie R., Garbacea I. TIMPA – The Analysis of Cranial Computed Tomographies, Proceedings of the Conference on Optimization of Electric, Electronic, Driving, Automation, and Computing Equipments (OPTIM‘87), University of Brasov, Nov. 20‑21, 1987, 213‑216.
Andonie R. A Semiotic Approach to Hierarchical Computer Vision in: Cybernetics and Systems, J. Rose (ed.), (Proceedings of the Seventh International Congress of Cybernetics and Systems, London, Sept. 7–11, 1987), Thales Publications, Lytham St. Annes, 1987, 930–933.
Andonie R. A Generative Picture Processing Device Used in Two‑Dimensional Cutting Problems, in: Proceedings of the Seventh Conference on Probability Theory (August 29 – September 4, 1982, Brasov), M. Iosifescu (ed.), Editura Academiei R.S.R., Bucuresti, 1984, 599‑606.
Andonie R. On Learning Systems with Subjective Probabilities, in: Formalization of Psychological Theories (Proceedings of the 13–th European Mathematical Psychology Group Meeting, Sept., 1982), C. Micko, U. Schulz (eds.), Bielefeld, 1982, 1‑13.
Andonie R., Marian A., Puscas P. The Basis of a Metalanguage in the Cybernetic Aesthetics, Proceedings of the International Symposium on Application of Mathematics in System Theory, Brasov, Dec. 27‑30, 1978, 127-134.
Book Chapters
Brasoveanu, A., Andonie, R. Visualizing and Explaining Language Models, in: Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N., Banissi, E. (eds) Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery. Studies in Computational Intelligence, vol 1014. Springer, Cham2022, 213–237.
Kovalerchuk, B., Andonie, R., Datia, N., Nazemi, K., Banissi, E. Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions, in: Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N., Banissi, E. (eds) Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery. Studies in Computational Intelligence, vol 1014. Springer, Cham 2022, 1–27.
Braşoveanu, A., Andonie, R. Semantic Fake News Detection: A Machine Learning Perspective, in: Rojas I., Joya G., Catala A. (eds), Advances in Computational Intelligence - IWANN 2019, Lecture Notes in Computer Science 11506, Springer, Cham, 2019, 656-667, ISBN 978-3-030-20517-1.
Florea AC, Andonie R. A Dynamic Early Stopping Criterion for Random Search in SVM Hyperparameter Optimization, in: Lazaros S. Iliadis et al. (eds), Artificial Intelligence Applications and Innovations – AIAI 2018, IFIP Advances in Information and Communication Technology (vol. 519), Springer, 2018, 168-180, ISBN: 978-3-319-92006-1.
Florea AC., Anvik J., Andonie R. Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning, in: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017, Lecture Notes in Computer Science 10614, Springer, Cham, 2017, 64-71, ISBN 978-3-319-68611-0.
Cataron A., Andonie R. Transfer Information Energy: A Quantitative Causality Indicator Between Time Series, in: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017, Lecture Notes in Computer Science 10614, Springer, Cham, 2017, 512-519, ISBN 978-3-319-68611-0.
Florea, A.C, Anvik, J., Andonie, R. Spark-based Cluster Implementation of a Bug Report Assignment Recommender System, in: Lecture Notes in Artificial Intelligence 10246, L. Rutkowski et al. (eds.), Springer-Verlag, Berlin, 2017, 31-42, ISBN 978-3-319-59059-2.
Andonie, R., Malita, M., Stefan, G.M. MapReduce: From Elementary Circuits to Cloud, in: “Uncertainty Modelling”, Studies in Computational Intelligence 683, Springer International Publishing, V. Kreinovich (ed.), 2017, 1-14, ISBN: 978-3-319-51051-4.
Lorentz I., Andonie, R., Malita, M. An Implementation of Evolutionary Computation Operators in OpenCL, in: Intelligent Distributed Computing V, Studies in Computational Intelligence 382, F. Brazier, K. Nieuwenhuis, G. Pavlin, M. Warnier, C. Badica (eds.), Springer-Verlag, Berlin, 2012, 103-113, ISBN 978-3-642-24012-6.
Galmeanu H., Andonie, R. Practical Implementation Issues of an Incremental and Decremental SVM, in: ICANN 2008, Lecture Notes in Computer Science 5163, V. Kurkova et al. (eds.), Springer-Verlag, Berlin, 2008, 325–335.
Andonie R. It Matters Which Way You Go – The Moisil Heritage, in: “Grigore C. Moisil and His Followers in The Field of Theoretical Computer Science”, A. Iorgulescu, S. Marcus, S. Rudeanu, D. Vaida (ed.), Editura Academiei Romane, Bucharest, 2007, ISBN 978-973-27-1607-6, 238-239.
Cataron, A., Andonie, R. Informational Energy Kernel for LVQ, in: ICANN 2005, Lecture Notes in Computer Science 3697, W. Dutch et al. (eds.), Springer-Verlag, Berlin, 2005, 601-606.
Beiu, V., Zawadzki, A., Andonie, R., Aunet, S. Using Kolmogorov Inspired Gates for Low Power Nanoelectronics, in: IWANN 2005, Lecture Notes in Computer Science 3512, J. Cabestan, A. Prieto, D.F. Sandoval (eds.), Springer-Verlag, Berlin, 2005, 438-445.
Andonie R. The Psychological Limits of Neural Computation, in: Dealing with Complexity: A Neural Network Approach, M. Karny, K. Warwick, V. Kurkova (eds.), Springer–Verlag, London, 1997, 252-263, ISBN 3-540-76160-8.
Andonie R. A Converse H–Theorem for Inductive Processes with Subjective Probabilities, in: Systems of Artificial Intelligence, A. Davidoviciu, C. Giumale, D. Roman, A. Giuculescu, M. Malita, R. Predescu (eds.), EdituraAcademiei Romane, Bucuresti, 1991, 114–123, ISBN 973-27-0178-1.
Andonie R., Waniek D., Garbacea I., Cismas S. The Iris Image Analysis for Medical Diagnosis, in: Computer Assisted Radiology, H.U. Lemke, M.L. Rhodes, C.C. Jaffe, R. Felix (eds.), Springer–Verlag, New York, 1989, 716–720, ISBN 0-387-50890-2.
Andonie R., Garbacea I. A System For The Analysis of Cranial Computed Tomographies, in: Computer Assisted Radiology, H.U. Lemke, M.L. Rhodes, C.C. Jaffee, R. Felix (eds.), Springer–Verlag, New York, 1987, 749–753, ISBN 0-387-17812-0.
Andonie R., Marian A. Piet Mondrian – Computer Aided Analysis and Synthesis (in Romanian), in: Mathematical Semiotics of Visual Arts, S. Marcus (ed.), Editura stiintifica si enciclopedica, Bucuresti,1982, 66-72.
Books
Andonie R., Garbacea I. Fundamental Algorithms. A C++ View (in Romanian), Libris, Cluj‑Napoca, 1995, ISBN 973-96494-5-9.
Editor of Books/Proceedings
Kovalerchuk B., Kawa N., Andonie R., Datia N., Banissi E. (eds.) Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, Springer Cham, Studies in Computational Intelligence, vol 1014. Springer Cham 2022.
Andonie R. (ed.) Proceedings of the IASTED International Conference on Computational Intelligence (CI 2007), Banff, Alberta, Canada, July 2-4, 2007, ACTA Press, ISBN 978-0-88986-672-0.
Andonie R., Grosu D. (eds.) Neural Research Priorities in Data Transmission and EDA, Proceedings of NEUROTOP’ 97, Transylvania University of Brasov, Romania, 1997.
Textbooks
Andonie R., Cațaron A., Galmeanu H., Ivanovici M., Sasu L. Algorithms and Data Structures: Applications in Image Processing and Bioinformatics – Lecture Notes (in Romanian), Transylvania University Press, Brasov, Romania, 2013, ISBN 978-606-19-0206-4.
Andonie R., Cațaron A., Gaspar Z., Galmeanu H., Ivanovici M., Lorentz I., Sasu L. Algorithms and Data Structures: Applications in Image Processing and Bioinformatics (in Romanian), Transylvania University Press, Brasov, Romania, 2012, ISBN 978-606-19-0058-9.
Andonie R., Cataron A. Computational Intelligence (in Romanian), Transylvania University Press, Brasov, Romania, 2002.
Andonie R. Algorithms and Complexity (in Romanian), Transylvania University Press, Brasov, Romania, 1994.
Andonie R. Algorithm Analysis (in Romanian), Transylvania University Press, Brasov, Romania, 1992.
Theses
Andonie R. Syntactic and Informational Aspects of Pattern Recognition (in Romanian), PhD Thesis, 1984, Department of Mathematics and Computer Science, University of Bucharest, Romania.
Andonie R. Applications of Aesthetic Cybernetics in Design (in Romanian), Master's Thesis, 1977, Department of Mathematics and Computer Science, University of Cluj-Napoca, Romania.
Andonie R. Aesthetic Cybernetics (in Romanian), Diploma Thesis, 1976, Department of Mathematics and Computer Science, University of Cluj-Napoca, Romania.
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Other Publications
Andonie, R. It matters which way you go - The Moisil Heritage, Matematica poetica, in: Meetings with Solomon Marcus, L. Spandonide and Gh. Paun (ed.), Spandugiono, Bucharest, 2010, 270-277.
Taropa T., Andonie R. Abordari in determinarea experimentala a rigiditatii amortizarii lagarelor cu rostogolire echipate cu rulmenti radiali cu bile, Buletinul Conferintei Nationale de Dinamica Masinilor CDM’97, Transylvania University of Brasov, 1987, 425-428.
Andonie R. Recunoasterea formelor si inteligenta artificiala, Buletin de informare tehnico-stiintifica, 2, Bucharest, 1988, 37-41.
Andonie R. Incotro calculatorul? Studentimea comunista brasoveana, October - November, 1986, p. 7.
Andonie R. Inferenta gramaticala regulata probabilista in recunoasterea formelor, Lucrarile celui de-al V-lea Colocviu de informatica, October 18-19, Al. I. Cuza University, Iasi, 1985, 568-579.
Andonie R. Subjective Entropic Classification, preprint, CCE-CIAT, Brasov, 1983.
Andonie R., Petrescu F. Asupra unui algoritm de clasificare bazat pe energia informationala, Lucrarile celui de-al IV-lea Colocviu de informatica, October 27-29, Al. I. Cuza University, Iasi, 1983, 403-408.
Andonie, R. Syntactic Picture Processing in Two-Dimensional Cutting Problems, Research Report AI-AP003, Artificial Intelligence Research Group, Central Institute for Management and Informatics, Bucharest, July, 1982.
Andonie R. Picture Proportional Processing Grammars in Digital Image Description and Recognition, Research Report AI-FD024, Artificial Intelligence Research Group, Central Institute for Management and Informatics, Bucharest, October, 1982.
Andonie R. Creatia literar-artistica - creatia tehnico-stiintifica; incercare de dialog, Revista Steaua, 3, 1981, p. 25.
Andonie R., Marian A. Probabilistic Model in the Automatic Generation of Visual Structures, Selective Papers of the Romanian Design Center - AROMAR, 2, 1980, 14-22.
Andonie R., Marian A. Piet Mondrian – Computer Aided Analysis and Synthesis, Selective Papers of the Romanian Design Center - AROMAR, 2, 1980, 23-27.
Vlase S., Andonie R., Mihalcica V., Veiner H. Modele si pachet de programe in termo-elastodinamica motoarelor cu ardere interna, in: Informatica pentru conducere, Cluj-Napoca, 1980, 113-114.
Bereczk S., Andonie R. Biotehnologia superizarii semnalelor analogice, in: Informatica pentru conducere, Cluj-Napoca, 1980, 118-119.
Andonie R., Vlase S. Generarea pe calculator a mecanismelor plane cu articulatii prin gramatici picturale, preprint, CCE-CIAT, Brasov, 1980.
Andonie R., Marian, A. Gramatici picturale probabiliste - o noua metoda in prelucrarea imaginilor pe calculator, in: Informatica pentru conducere, Cluj-Napoca, 1980, 141-142.
Andonie R. Simularea creatiei artistice cu ajutorul calculatorului, in: Conducere, informatica, decizie, creativitate, Cluj-Napoca, 1979, p. 89.
Andonie R. Gramatici temporale, preprint, CCE-CIAT, Brasov, 1979.
Andonie R., Mihalcica V. Pachet de programe pentru calculul motoarelor cu ardere interna, Lucrarile celei de-a VII-a Sesiuni de comunicari tehnico-stiintifice CCSITT, Brasov, 1979, 85-89.
Vlase S., Mihalcica V., Veiner H., Andonie R. Comparatie intre metodele clasice si metodele noi de calcul ale motoarelor cu ardere interna, Lucrarile celei de-a VII-a Sesiuni de comunicari tehnico-stiintifice CCSITT, Brasov, 1979, 403-407.
Andonie R. Calcularea entropiei lanturilor Markov multiple cu ajutorul programarii neliniare, preprint, CCE-CIAT, Brasov, 1979.
Ulea M., Vlase S., Mihalcica V., Andonie R. Influenta jocurilor asupra reactiunilor care apar la palierele arborilor cotiti ai motoarelor cu ardere interna, in: Creativitatea in constructia, fabricarea si exploatarea automobilelor, vol. II, Pitesti, 1979, 313-318.
Andonie R., Marian A., Puscas P. Aplicatii ale plasticii cibernetice, Buletin stiintific studentesc, Bucuresti, 1978, 165-188.
Andonie R. Estetica cibernetica, in: Contributii studentesti la cercetarea stiintifica, University Center of Cluj-Napoca, 1977, 21-22.
Student Research and Resources
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Computational Chemistry
People
Computer Science Department
- Razvan Andonie, Ph.D.
Chemistry Department
- Levente Fabry-Asztalos, Ph.D.
CWU Alumni
- Christopher B. Abdul-Wahid (graduated 2009); presently, a PhD student (University of Notre Dame)
- Grant Barker (graduated 2009); presently, a PhD student (University of Washington, Seattle)
- Sarah Abdul-Wahid, M.S. (graduated 2006)
- Catharine J. Collar, M.S. (graduated 2006, PhD now)
- Nicholas Salim (graduated 2006)
- Heather N. Biles (graduated 2006)
- Lukas Magill (graduated 2008)
International Collaborators
- Istvan Lorentz, PhD student of R. Andonie. Transilvania University, Romania, PhD 2013, presently with Siemens, Romania.
- Bogdan Crivat, PhD student of R. Andonie. Transilvania University, Romania, PhD 2011, presently VP of Predixion Software, USA.
- Lucian Sasu, PhD student of R. Andonie, Transilvania University, Romania, PhD 2006, presently with Transilvania University and Siemens, Romania.
Publications
Lorentz, I., Andonie, R., Fabry-Asztalos, L. Accelerating Molecular Structure Determination based on Inter-atomic Distances using OpenCL, IEEE Transactions on Parallel & Distributed Systems, 26, 2015, 3250-3263.
Andonie R., Fabry-Asztalos L., Sasu, L. Bayesian ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2014), May 21-24, 2014, Honolulu, Hawaii, USA.
Lorentz I., Andonie R., Fabry-Asztalos L. Solving Molecular Distance Geometry Problems in OpenCL, Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment, (OPTIM'2012), Brasov, Romania, May 24-26, 2012, 1421-1428.
Fabry-Asztalos, L., Lorentz I., Andonie, R. Molecular Distance Geometry Optimization using Geometric Build-up and Evolutionary Techniques on GPU, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2012), May 9-12, 2012, San Diego, USA, 321-328.
Razvan Andonie, Levente Fabry-Asztalos, C. Badi‘ Abdul-Wahid, Sarah Abdul-Wahid, Grant Barker, Lukas Magill. Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8, 2011, 80-93.
Andonie R., Fabry‑Asztalos L., Crivat B., Abdul‑Wahid S., Abdul‑Wahid B. Fuzzy ARTMAP Rule Extraction in Computational Chemistry, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, June 14-19, 2009, 157-163, Best Poster Award Runner-up.
Fabry-Asztalos, L., Andonie, R., Collar, C., Abdul-Wahid, S., Salim, N. A Genetic Algorithm Optimized Fuzzy Neural Network Analysis of the Affinity of Inhibitors for HIV-1 Protease, Bioorganic & Medicinal Chemistry, 16, 2008, 2903-2911.
Andonie R., Fabry‑Asztalos L., Magill L., Abdul‑Wahid S. A New Fuzzy ARTMAP Approach for Predicting Biological Activity of Potential HIV‑1 Protease Inhibitors, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), San Jose, CA, Nov 2-4, 2007, IEEE Computer Society Press, ISBN 0-7695-3031-1, 56-61.
Andonie, R., Fabry-Asztalos, L., Abdul-Wahid, S., Collar, C., Salim, N. An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors, Proceedings of the IEEE International Conference on Neural Networks (IJCNN 2006), Vancouver, BC, Canada, July 16-21, 2006, 7495-7502, Best Session Presentation Award.
Andonie, R., Fabry-Asztalos, L., Collar, C., Abdul-Wahid, S., Salim, N. Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'05), San Diego, November 14-15, 2005, 113-120.
Presentations
Levente Fabry-Asztalos, Razvan Andonie. Fuzzy neural network analysis of the affinity of inhibitors for HIV-1 protease, Oral presentation at the 243rd American Chemical Society National Meeting, San Diego, CA, March 27, 2012.
Kristoffer Hepler, Forrest Williamson, Zachary Haberman, Razvan Andonie, Levente Fabry-Asztalos. Bee Colony Optimization of Protein Folding, Symposium on University Research and Creative Expression (SOURCE 2011), Ellensburg, May 19, 2011.
Forrest Williamson, Kristoffer Hepler, Zachary Haberman, Levente Fabry-Asztalos, Razvan Andonie. Analysis of Cathepsin-D Inhibitory Compounds by Computational Intelligence Methods, Symposium on University Research and Creative Expression (SOURCE 2011), Ellensburg, May 19, 2011.
Badi’ Adbul-Wahid, Grant I. Barker, Sarah Abdul-Wahid, Luke Magill, Catharine Collar, Nicholas Salim, Razvan Andonie*, Levente Fabry-Asztalos*. Using Computational Intelligence as Predictive Tool for Biological Activities of Drug Candidates Targeted Towards Therapeutically Important Enzymes for Rapid Screening, Posters on the Hill, Council on Undergraduate Research, Capitol Hill, Washington DC, May 5th, 2009. The posters are presented to the members of Congress.
Badi‘ Abdul-Wahid, Razvan Andonie, Levente Fabry-Asztalos, Bogdan Crivat, Sarah Abdul-Wahid. Fuzzy ARTMAP Rule Extraction in Computational Chemistry, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Badi' Abdul-Wahid, Gene Roseberry, Zacharias Thompson, Branden Lopez, Levente Fabry-Asztalos, Razvan Andonie. Applications of Graph Matching for Chemical Structures, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Badi' Abdul-Wahid, Grant Barker, Razvan Andonie, Levente Fabry-Asztalos. Predictive Software as a Rapid Screening Tool for Potential Drug Candidates, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Badi' Abdul-Wahid, Levente Fabry-Asztalos, Razvan Andonie. Prediction of Biological Efficacy for Potential Plasmodium Falciparum Plasmepsin IV Inhibitors, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Badi’ Adbul-Wahid, Levente Fabry-Asztalos, Razvan Andonie. Prediction of Biological Efficacy for Potential Plasmodium Falciparum Plasmepsin IV Inhibitors, Seattle Parasitology Conference, Seattle Biomedical Research Institute, May 14-15, 2009.
Grant I. Barker, Razvan Andonie, Levente Fabry-Asztalos. Computer modeling and neural networks used in the design of novel HIV-1 protease inhibitors for the therapeutic treatment of HIV/AIDS, Symposium on University Research and Creative Expression (SOURCE 2008), Ellensburg, May 15, 2008.
Badi’Adbul-Wahid, Razvan Andonie, Levente Fabry-Asztalos. Prediction of novel inhibitors targeting P. Falciparum Plasmepsin IV, Symposium on University Research and Creative Expression (SOURCE 2008), Ellensburg, May 15, 2008.
Badi’Adbul-Wahid, Grant I. Barker, Razvan Andonie, Levente Fabry-Asztalos. Ordered Fuzzy ARTMAP for predicting HIV-1 protease inhibitor activity, Symposium on University Research and Creative Expression (SOURCE 2008), Ellensburg, May 15, 2008, Outstanding Oral Presentation Award.
Badi’ Adbul-Wahid, Grant Barker, Levente Fabry-Asztalos, Razvan Andonie, Ordered Fuzzy ARTMAP for Predicting HIV-1 Protease Inhibitors, 2008 American Chemical Society – Puget Sound Section Undergraduate Research Symposium, The Evergreen State College, Olympia, WA, April 26th, 2008.
Lukas Magill, Razvan Andonie, Levente Fabry-Asztalos, Genetic Algorithm Optimized Fuzzy ARTMAP with Relevancies for HIV-1 Protease Prediction, Symposium on University Research and Creative Expression (SOURCE 2007), Ellensburg, May 17, 2007.
Badi’ Adbul-Wahid, Levente Fabry-Asztalos, Sarah Abdul-Wahid, Razvan Andonie, Dimensional abstraction: Generating novel potential inhibitors of Malarial Plasmepsin IV using computational methodologies, Symposium on University Research and Creative Expression (SOURCE 2007), Ellensburg, May 17, 2007.
Badi’ Adbul-Wahid, Sarah Abdul-Wahid, Levente Fabry-Asztalos, Razvan Andonie. In Silico Study of Plasmodium Falciparum Proteases Plasmepsin II and IV: Prediction of Biological Activity of Newly Designed Inhibitors, the 233th American Chemical Society National Meeting, Chicago, IL, March 25-29, 2007.
Andonie, R. Predicting Biological Activity of Potential HIV-1 Protease Inhibitors – A Computational Intelligence Approach, November 10th, 2006, Old Dominium University, Norfolk, VA, invited tutorial presentation.
Nicholas Salim, Catharine J. Collar, Sarah Abdul-Wahid, Levente Fabry-Asztalos, Razvan Andonie. Fuzzy-neural network predictions of IC50 values for potential HIV-1 protease inhibitors, Symposium on University Research and Creative Expression (SOURCE 2006), Ellensburg, May 18, 2006.
Sarah Abdul-Wahid, Catharine J. Collar, Nicholas Salim, Razvan Andonie, Levente Fabry-Asztalos. An integrated computational intelligence approach for predicting biological activity of potential HIV-1 protease inhibitors, Symposium on University Research and Creative Expression (SOURCE 2006), Ellensburg, May 18, 2006.
Nicholas Salim, Sarah Abdul-Wahid, Catharine J. Collar, Levente Fabry-Asztalos, Razvan Andonie. Application of a Fuzzy-Neural Network to Predict IC50 Values for Potential HIV-1 Protease Inhibitors, poster presentation, the 331th American Chemical Society National Meeting, Atlanta, GA, March 26-30, 2006.
Levente Fabry-Asztalos, Razvan Andonie, Catharine J. Collar, Sarah Abdul-Wahid, Nicholas Salim. Neuro-Fuzzy Prediction of Biological Activity and IF/THEN Rule Extraction for HIV-1 Protease Inhibitors, poster presentation, the 331th American Chemical Society National Meeting, Atlanta, GA, March 26-30, 2006.
Nicholas Salim, Catharine J. Collar, Sarah Abdul-Wahid, Levente Fabry-Asztalos, Rǎzvan Andonie. Application of fuzzy neural networks to predict IC50 values of novel HIV-1 protease inhibitors, oral presentation, the 14th Regional Murdock Conference on Undergraduate Research, Nampa, ID, November 12, 2005.
Catharine J. Collar and Levente Fabry-Asztalos. Modeling Bioactivity for Aspartic Protease Inhibitors Using Bioavailability and Physicochemical Molecular Descriptors, poster presentation, the 331th American Chemical Society National Meeting, Atlanta, GA, March 26-30, 2005.
Heather Biles, Michael Ellis, Catharine J. Collar, Levente Fabry-Asztalos. Analyzing Force Field and Charge Conditions to Enhance Biological Activity Predictions of Cathepsin D Inhibitors, poster presentation, the 331th American Chemical Society National Meeting, Atlanta, GA, March 26-30, 2005.
Sarah Abdul-Wahid, Catharine J. Collar, Nicholas Salim, Razvan Andonie, Levente Fabry-Asztalos. Explicit Knowledge Extraction from Properties of Chemical Structures, poster presentation, Symposium on University Research and Creative Expression (SOURCE 2005), Ellensburg, May 19, 2005.
Catharine Collar, Sarah Abdul-Wahid, Nicholas Salim, Levente Fabry-Asztalos, Razvan Andonie. Neuro-Fuzzy and Multiple Regression IC50 Prediction of HIV-1 Protease Inhibitors, oral presentation, Symposium on University Research and Creative Expression (SOURCE 2005), Ellensburg, May 19, 2005.
Catharine Collar, Levente Fabry-Asztalos. Predicting Biological Activity of HIV-1 Protease Inhibitors Using Multi-Variable Molecular Mathematical Modeling, oral presentation, Symposium on University Research and Creative Expression (SOURCE 2005), Ellensburg, May 19, 2005.
Sarah Abdul-Wahid, Nicholas Salim, Catharine J. Collar, Razvan Andonie, Levente Fabry-Asztalos. Predicting Biological Affinity of HIV-1 Protease Inhibitors Using A Neuro-Fuzzy Network, poster presentation, American Chemical Society Puget Sound Section Undergraduate Research Symposium, Seattle, WA, April 23, 2005.
Heather N. Biles, Catharine J. Collar, Levente Fabry-Asztalos. Molecular Modeling of Cathepsin-D Inhibitors; A Comparative Study with Pepstatin, poster presentation, the 14th Regional Murdock Conference on Undergraduate Research, Nampa, ID, November 19, 2004.
Our collaborative research involves modern drug discovery, the design, synthesis, and evaluation of potential enzyme inhibitory chemical compounds. Computational Intelligence and Computer Aided Molecular Modeling represent essential components of this endeavor. We are using Sybyl molecular modeling in conjunction with neural-networks - fuzzy logic - genetic algorithms techniques to design de novo structures which can become lead compounds for further drug development, and possibly future therapeutic agents.
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Bio-Inspired P2P Computing
People
Computer Science Department
- Razvan Andonie, PhD
- James Schwing, PhD
CWU Alumni
- Brandon Wysocki (graduated 2010)
- Ben Sisson (graduated 2010)
- Joseph Lemnley (graduated 2006)
- Sarah Abdul-Wahid, M.S. (graduated 2006)
- Jonathan Widger (graduated 2006)
- Berk Erkul (graduated 2007)
- Sorin (Alex) Bucse (graduated 2008)
- Lukas Magill (graduated 2008)
- Michael Wilson (graduated 2008)
- Ben Woodard (graduated 2008)
- Badi` Abdul-Wahid (graduated 2009)
International Collaborators
- Istvan Lorentz, Mihai Dumitrescu – Transilvania University, Romania, PhD students of R. Andonie
- Mihaela Malita, PhD, Anselm College, USA
Publications
Dumitrescu, M., Andonie, R. Clustering Superpeers in P2P Networks by Growing Neural Gas, Proceedings of the Twentieth Euromicro Conference on Parallel, Distributed, and Network-Based Processing (PDP 2012), Feb. 15-17, Garching, Germany, IEEE Computer Society Press, Los Alamitos, 2012, 311-318, ISBN: 978-0-7695-44633-9.
Lorentz I., Andonie, R., Malita, M. An Implementation of Evolutionary Computation Operators in OpenCL, in: Intelligent Distributed Computing V, Studies in Computational Intelligence 382, F. Brazier, K. Nieuwenhuis, G. Pavlin, M. Warnier, C. Badica (eds.), Springer-Verlag, Berlin, 2012, 103-113, ISBN 978-3-642-24012-6.
Lorentz I., Malita, M. Andonie, R. Evolutionary Computation on the Connex Architecture, Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2011), Cincinnati, USA, April 16-17, 2011, 146-153, ISSN: 1613-0073.
Lorentz I., Malita M., Andonie R. Fitting FFT onto an Energy Efficient Massively Parallel Architecture, Proceedings of the Second International Forum on Next-Generation Multicore/Manycore Technologies (IFMT’10), ACM/IEEE International Symposium on Computer Architecture (ISCA 2010), Saint-Malo, France, June 19-23, 2010, ACM, ISBN 978-1-4503-0008-7.
Andonie R., Magill, L., Schwing J., Sisson B., Wysocki B. An Adaptive Replication Algorithm in P2P File Systems with Unreliable Nodes, Proceedings of the 2009 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'09), Las Vegas, July 13-16, 2009, 398-404.
Abdul-Wahid, S., Andonie, R., Lemley, J., Schwing, J., Widger, J. Adaptive Distributed Database Replication Through Colonies of Pogo Ants, Proceedings of the IEEE International Parallel & Distributed Processing Symposium (IPDPS 2007) , Long Beach, California, March 26-30, 2007, ISBN 1-4244-0909-8.
Abdul-Wahid, S., Andonie, R., Lemley, J., Schwing, J., Widger, J. Event-Driven Load Balancing of Partially Replicated Objects through a Swarm of Mobile Agents, Proceedings of the IASTED International Conference on Computational Intelligence (CI 2006), B. Kovalerchuk (ed.), San Francisco, November 20-22, 2006, ACTA Press, ISBN 0-88986-603-1, 110-115.
Presentations
Brandon Wysocki, Ben Sisson, Razvan Andonie, James Schwing. An Adaptive Replication Algorithm in P2P File Systems with Unreliable Nodes, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Ben Woodward, Michael Wilson, Luke Magill, Sorin Bucse, James Schwing, Razvan Andonie, ANTS Need This Software, Symposium on University Research and Creative Expression (SOURCE 2008), Ellensburg, May 15, 2008.
James Schwing, Old Dominium, Norfolk, VA - Invited Presentation, November 10, 2006.
Joseph Lemley, Jonathan Widger, Virgil Mednick, Sarah Abdul-Wahid, James Schwing, Razvan Andonie, Biologically inspired solution for load balancing distributed data, Symposium on University Research and Creative Expression (SOURCE 2006), Ellensburg, May 18, 2006.
Swarms of mobile software agents, imitating the behavior of insects, can solve complex tasks. Such agents individually have simple behavior. However, as a collective unit, constructive behavior emerges, as it does in insect colonies. We intend to investigate distributed computing in a heterogeneous network using bio-inspired techniques. The system should be adaptive and completely distributed. It should perform dynamic, event-driven load balancing. Every node of the network should be capable of producing new events and introducing them into the network for computation. The architecture should be used as a general support for clustering and task allocation applications.
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CWU Chess
People
Computer Science Department
Razvan Andonie, Ph.D. (mentor)CWU Alumni
Ashur Odah (graduated 2004), Pushpinder Heer (graduated 2004), Joseph Lemnley (graduated 2006), Jonathan Widger (graduated 2006), Berk Erkul (graduated 2007), Lukas Magill (graduated 2008), Kyle Littlefield (graduated 2009).External Collaborator
Michael Diosi (Germany), one of the ARENA developers. Thanks Michael for introducing us to ARENA and for your continuous support!
Publications and Presentations
Lemley, J., Andonie, R., Odah, A., Heer, P., Widger, J., Erkul, B., Magill, L., Littlefield, K. CWU-Chess: An Adaptive Chess Program that Improves After Each Game, Proceedings of the IEEE Games, Entertainment, Media Conference (GEM), August 15-17, 2018, Galway, Ireland, 86-89.
Kyle Littlefield, Razvan Andonie. Integrating CWU Chess in the ARENA Chess GUI, Symposium on University Research and Creative Expression (SOURCE 2009), Ellensburg, May 21, 2009.
Lukas Magill, Joseph Lemley, Jonathan Widger, Berk Erkul, Razvan Andonie. Fuzzy ARTMAP for Chess Artificial Iintelligence, Symposium on University Research and Creative Expression (SOURCE 2006), Ellensburg, May 18, 2006. Joseph Lemley, Jonathan Widger, Razvan Andonie. An Adaptive Chess Program Distributed Over A Network of Workstations, Symposium on University Research and Creative Expression (SOURCE 2005), Ellensburg, May 19, 2005 - Outstanding Undergraduate Student Oral Presentations Award. Ashur Odah, Pushpinder Heer, Joe Lemley, Razvan Andonie. CWU-Chess - An Adaptive Chess Program, Student Poster Session of the Sixth Annual Northwestern Regional Conference of the Consortium for Computing Sciences in Colleges, Willamette University, Salem, Oregon, October 8 & 9, 2004.Writing a chess program is a notoriously difficult task. Our solution is to develop an adaptive distributed program that uses a genetic algorithm in combination with a neural network that can learn after each game it plays. The entire genetic algorithm/neural network component is part of the evaluation function used to rank each board. Given a board configuration, ten attributes are evaluated each of which is used as the input to the neural network. The weights of the neural network are optimized on a computer network, using a distributed genetic algorithm. Each time the evaluation function is called, the neural network calculates the value for a given board configuration which will then be used in a recursive search algorithm that uses Alpha-Beta pruning. The weights are adjusted at the end of the game based on its outcome. Work on parallelizing the alpha beta function to achieve greater search depths is partially complete. Our final goal is a fully distributed chess program which learns after each game it plays and analyzes in parallel strategies. CWU-Chess is integrated in the ARENA GUI. Approx. 250 chess engines run under Arena.
The free and publicly available UCI and Winboard protocols are used for the communication between CWU-Chess and Arena GUI. CWU-Chess can play against any of the Arena supported engines, against itself, and against a human partner.
Originally a final project in the CS457 Computational Intelligence course by Ashur Odah, Pushpinder Heer, and Joe Lemley, the CWU Chess program has turned in to a tradition for emerging research students.
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Research Resources
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- IEEE Resources & Tools for Authors
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