Jacek M. Zurada, Ph.D

Invited Talks

What Authors Should Know to Successfully Publish Papers in Good Journals

Distinguished Lecture for IEEE SMC, IEEE Chilecon 2017, October 18, 2017, Pucon, Chile.

New initiatives in technologies of the future, large databases, reproducible research and publications

Plenary Lecture, Konferencja Bazy Danych dla Nauki: INFOBAZY 2017, September 11-13, 2017, Gdansk, Poland.

Towards Better Understanding of Data: Sparse Coding, Additive Features, Perceptrons and Constrained Autoencoders

Keynote Address, 2018 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017), July 3-5, 2017, Gdynia, Poland.

Deep Neural Networks Learning through Receptive Field Optimization

Distinguished Lecture for IEEE SMC, January 16, 2017, Malaysia Chapter, Kuala Lumpur.

Deep Neural Network Learning through Receptive Fields Optimization for Data Representation

Distinguished IEEE SMC Lecture, Gdynia, Poland, November 1, 2016.

Towards Better Understanding of Data: Learning Additive Features by NMFs, Perceptrons and Autoencoders

International Symposium on New Trends in Computational Intelligence, Qingdao, China, May 28, 2016.

Towards Better Understanding of Data: Learning Additive Features by NMFs, Perceptrons and Autoencoders

Nanyang Technological University, Special Lecture for the School of Computer Science April 28, 2016.

Discriminative Learning Under Constraints: Receptive Fields, Features and Convolutional AEs for 2D and 3D Images

IEEE CIS Winter School, Emerging Research Trends in Computational Intelligence - Theory and Applications, Ahmedabad, India, March 1-5, 2016.

Computational Intelligence Methods and their Applications for Data Analysis

IEEE CIS Winter School, Emerging Research Trends in Computational Intelligence - Theory and Applications, Ahmedabad, India, March 1-5, 2016.

Learning Receptive Fields under Constraints

Electrical and Computer Engineering Department Seminar, University of Louisville, December 2, 2015

Towards Better Understanding of Data: Constrained Learning of Latent Features in Neural Networks

Budapest, Hungary, Distinguished IEEE CIS Lecture, September 1, 2015

Towards Better Understanding of Data: Learning Latent Features under Constraints

Department of Computer Science, University Wroclaw, Poland, May 7, 2015

Towards Better Understanding of Data: Learning Latent Features under Constraints in Shallow Networks

Invited Keynote Lecture, 21st International Conference on Neural Information Processing (ICONIP 2014), Kuching, Malaysia, November 4, 2014

23 Computing Technologies That Will Shape the World in 2022: Towards a Seamless Intelligence

Zurada, J. M., Milojicic, D., IEEE Big Data Initiative Workshop IEEE, Hoboken Institute of Technology, Hoboken, NJ, October 1, 2014

Neural Networks and Machine Learning Approaches as Tools for Pattern Recognition

Computational Intelligence and Machine Learning Seminar, Tech Edge Center, Dayton, Ohio, November 6, 2013

Authors' profile and collaborative networks of authors and researchers

IEEE Workshop for Leading Researchers, Tokyo, Japan. November 1, 2013

Non-negative Matrix Factorization and Its Application to Pattern Analysis and Text Mining

Keynote Lecture at the Federated Conference on Computer Science, Krakow, Poland, 8 - 11 September, 2013

Non-negative Matrix Factorization with Correntropy Similarity Measure and Its Application to Pattern Analysis and Text Mining

Michael Fam Professor Lecture, Nanyang Technological University, Singapore, May 28, 2013

Global Technical Activities in IEEE: Challenges and Strategies

Invited Lecture at Nanyang Technological University, Singapore, May 10, 2013

Computational Intelligence Methods for Factory Automation and Industrial Applications

Keynote Address, 17th IEEE Conference on Emerging Technologies in Factory Automation, Krakow, Poland, September 17-21, 2012

Publishing in Computer and Electrical Engineering: Old Issues and New Challenges

Computer Science and Engineering Department and IEEE Computer Society-Louisville Chapter, University of Louisville, September 7, 2012

Non-negative Matrix Factorization and its Application to Text Mining and Pattern Analysis

Dalian University of Technology Lecture, Dalian, China, June 21, 2012

Nonnegative Matrix Factorization and Its Application to Understandable Pattern Analysis and Text Mining

China University of Petroleum, Qingdao, China, June 18, 2012

Nonnegative Matrix Factorization and Its Application to Understandable Pattern Analysis and Text Mining

Department of Electrical Engineering, University of Catania, Sicily, Italy, Fulbright Lecture, May 28, 2012

Non-negative Matrix Factorization for Pattern Analysis

Seminari Scientifici Circuiti e Algoritmi per il Trattamento dei Signali, Reggio di Calabria, Italy, May 21, 2012

Non-negative factorizations of sample matrices for interpretable pattern classifiers

Invited Plenary Lecture at 22nd Italian Workshop on Neural Networks, May 17-19, 2012, Vietri sul Mare, Salerno, Italy

IEEE Periodicals Today and Tomorrow

Invited Plenary Lecture at the International Conference on ArtificialIntelligence and Soft Computing (ICAISC 2012), Zakopane, Poland, April 30-May 4, 2012

Bioinformatics Research with Support Vector Machines and Decision Trees

Invited Plenary Lecture at International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2011), Istanbul, Turkey, June 15-18, 2011

Mixing Computational and Artificial Intelligence: Discovery of Prediction Rules in Protein Secondary Structures

IEEE CIS Distinguished Lecture for Turkish IEEE CIS Chapter, Istanbul, June 15, 2011

Publishing in Computer and Electrical Engineering: Authors, Readers and Editors Perspectives

Open Lecture for ECE/CECS faculty and PhD students, University of Louisville, June 2, 2011

Engineering Publications and the Internet

Invited Lecture for 70-th Anniversary of Association of Polish-American Engineers, New York, New York, May 13-15, 2011

Towards Better Understanding of Protein Secondary Structure: Extracting Prediction Rules

Invited Plenary Lecture at the 3rd International Conference on Machine Learning and Computing, Singapore, February 26-28, 2011

How to Publish Papers in IEEE Computational Intelligence Society Journals

Plenary Discussion at IEEE World Congress on Computational Intelligence (WCCI 2010), July 18-23, 2010, Barcelona, Spain

Building Virtual Organizations and Computational Intelligence - Machine Learning Networks

Invited Plenary Lecture at Summer School on Computational Intelligence in Healthcare, Technical University of Eindhoven, The Netherlands, September 20-24, 2010

Towards better Understanding of Protein Secondary Structure: Extracting Prediction Rules

Invited Plenary Lecture at Summer School of Computational Intelligence in Healthcare, Technical University of Eindhoven, The Netherlands, September 20-24, 2010

Virtual Organizations and Computational Intelligence - Machine Learning Networks for Interdisciplinary and Data-Driven Research

Invited Plenary at the 3rd International Congress on Image and Signal Processing (CISP 2010) and the 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Yantai, China, October 16-18, 2010

Virtual Organizations in Engineering and Computational Intelligence Virtual Community

Invited Plenary and IEEE CIS Distinguished Lecture, VI Latin-American Summer School on Computational Intelligence (EVIC 2009), Universidad de Chile, Santiago, Chile, December 16-18, 2009

Computational Intelligence and Machine Learning Virtual Infrastructure Network

Invited Plenary Lecture at 2nd Int’l Workshop on Advanced Computational Intelligence, CINVESTAV-IPN, Mexico City, October 8-9, 2009

Towards better Understanding of Protein Secondary Structure: Extracting Prediction Rules

Lecture at the Nanyang Technological University organized jointly by the Centre for Computational Intelligence and IEEE Singapore Computational Intelligence Chapter, School of Computer Engineering, May 21, 2009

Publishing in Engineering and Sciences: Authors, Readers and Editors Perspectives

IEEE CIS Distinguished Lecture, Montreal Chapter, Canada, November 21, 2008

Learning in Networks: Complex-valued Neurons, Pruning and Rule Extraction

IEEE CIS Distinguished Lecture, Montreal Chapter, Canada, November 21, 2008

Networks with Complex-valued Neurons and their Applications in Image Analysis and Bioinformatics

5th International Symposium on Automatic Control, Wismar, Germany, September 18, 2008 (with Dr. I. Aizenberg)

Building Cyberinfrastructures in Engineering: Virtual Organizations, and Computational Intelligence - Machine Learning Network

Lecture at Nanyang Technological University, School of Computer Engineering, June 19, 2008

Neural Networks with Complex-valued Neurons for Recurrent and Feedforward Architectures

Plenary Lecture, ICMLA 2007, Cincinnati, Ohio, December 13-15, 2007

Data mining, neural networks and rule extraction

IEEE CIS Distinguished Lecture, Ottawa Chapter, November 9, 2007

Associative Memories and Feedforward Neural Networks with Complex-valued Neurons

4th Forum-Conference on Computer Science for Ph.D. Students and Postdoctoral Researchers, Smardzewice, Poland, June 11-14, 2007

Neural Networks for Data Mining and Rule Extraction

IEEE Computational Intelligence Society Chapter Lecture, Paris, France, May 24, 2007

Fully Coupled and Feedforward Neural Networks with Complex-valued Neurons

Lecture at Department of Databases and Machine Learning, Universite de Pierre et Marie Curie, Paris, France, May 10, 2007

Associative Memories and Feedforward Neural Networks with Complex-valued Neurons

Lecture at the Nanyang Technological University, School of Computer Engineering, March 30, 2007

Publishing in engineering and sciences: authors, readers and editors perspectives

Nanyang Professor’s Lecture, Nanyang Technological University, March 19, 2007

Learning in Neural Networks: Looking for Better Training Methods and New Neuron Models

Lecture at the University of Chile, January 29, 2007

Supervised and Unsupervised Learning: Looking for Better Training Methods and Meaningful Models

Invited Plenary talk at 14th National Conference on Fuzzy Theory and Applications, Tainan, Taiwan, December 14, 2006.

Publishing Successful Papers in CSE and CIS: Editorial Perspective

Distinguished Lecture for CIS Tainan Chapter, Taiwan, December 13, 2006.

Neural Networks for Selected Data Mining Tasks

International Seminar of Computational Intelligence Society - Mexico Chapter, Tijuana, Mexico, October 11, 2006.

Neural Networks, Data Mining and Rule Extraction

IEEE Computational Society Distinguished Lecture for the Belgrade CIS Section and Neurel'06, Belgrade, Serbia, September 25, 2006.

Challenges and Opportunities in Neural Networks Research

Plenary Panel Discussion Moderator, Third International Symposium on Neural Networks, Chengdu, China, May 28-31, 2006.

Artificial Neural Networks: Next Frontiers

Plenary Lecture at IEEE CIS Lecture Series, Xi'an Jiao-tong University, Xi'an, China, May 14, 2006.

Artificial Neural Networks: Fundamentals and Challenges

Plenary Lecture at IEEE CIS Lecture Series, University of Technology, Guangzhou, China, May 12, 2006.

Artificial Neural Networks: Fundamentals and Selected Open Problems

Plenary Lecture at IEEE CIS Lecture Series, Shanghai Jiao-tong University, Shanghai, China, May 10, 2006.

The IEEE Computational Intelligence Society, President's Lecture

Second Latin-American Summer School on Computational Intelligence (EVIC 2005), Universidad de Chile, Santiago, Chile, December 15, 2005.

Rule Extraction and Data Mining

Lecture for IEEE Computational Intelligence Society Mexico Chapter Meeting, Mexico City, October 17, 2005.

Data Mining, Neural Networks and Rule Extraction

Invited Plenary Lecture, Wismarer Automatisierungs Symposium, Techniche Hochschule Wismar, Germany, September 22, 2005.

Neural Networks Learning for Data and Image Mining

Lecture for Hunan University, School of Electrical and Computer Engineering, Changsha, China, August 30, 2005.

Open Problems and Challenges in Natural Computation and Knowledge Discovery

Panel Discussion Moderator, First International Conference on Natural Computation and The Second International Conference on Fuzzy Systems and Knowledge Discovery, Changsha, China, August 28, 2005.

Artificial Neural Networks: Fundamentals and Selected Open Problems

Seminar for Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore, August 11, 2005.

Publishing in Electrical and Computer Engineering: Background and Case Studies

Invited Lecture for Pattern Recognition and Machine Intelligence Association, Singapore, August 8, 2005.

Neural Networks for Selected Data Mining Tasks

2005 Ryerson Distinguished Lecture Series on Neural Networks and Computational Intelligence for Signal Processing and Bioinformatics, Toronto, Canada, May 13, 2005.

Artificial Neural Networks: Fundamentals and Selected Open Problems

1st Polish and International PD Forum AND Conference on Computer Science, Bronislawow, Poland, April 12, 2005. (Invited Plenary Lecture)

Data Mining, Neural Networks and Rule Extraction

Public Lecture at the Honorary Professorship Award Ceremony at Hebei University, Baoding, China, August 29, 2004.

How to Succeed in Publishing in Electronic and Computer Engineering

Invited Lecture at 2004 International Conference on Machine Learning and Cybernetics, Shanghai, China, August 26-19, 2004.

Neural Networks for Semiconductor Fabrication Design Centering and Yield Maximization

School of Electronic and Electrical Engineering, Public Lecture at Nanyang Technological University, Singapore, August 11, 2004.

Blind Signal Separation and Extraction: Recent Trend, Future Perspectives, and Applications

7th International Conference on Artificial Intelligence and Soft Computing (ICAISC'04), Zakopane, Poland, June 7-11, 2004. (Invited Plenary Lecture, with Dr. A. Cichocki)

How to Succeed in Publishing in Electronic and Electrical Engineering

School of Electronic and Electrical Engineering, Public Lecture at Nanyang Technological University, Singapore, May 7, 2004.

How to Succeed in Publishing in Computer Science and Engineering

Department of Computer Science, Seminar at the Hong Kong University of Science and Technology, January 27, 2004.

Data Mining, Neural Networks and Rule Extraction

IEEE NNS Distinguished Lecture in Region 9, University of Sao Paolo-Escola Polytechnica, Brazil, March 8-10, 2004.

Successful Publishing in Computer Science and Engineering

Seminar for the National Central University, Chung-Li, Taiwan, September 25, 2003.

Neural Networks and Rule Extraction

Seminar for the Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, September 24, 2003.

Neural Networks for Intelligent Modeling of Systems and Data Mining

Keynote Address at the International Conference on Neural Networks and Computational Intelligence (NCI 2003), Cancun, Mexico, May 19-21, 2003.

Data Mining, Neural Networks and Rule Extraction

Keynote Address at the International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), Faro, Portugal, April 8-11, 2003.

From Data Mining and Neural Networks Modeling Towards Rule Extraction

Keynote Address at the International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA 2003), Vienna, Austria, February 12-14, 2003.

Design Centering and Yield Improvement for IC Manufacturing Using Neural Networks

Invited Lecture at CIMPA-UNESCO-INDIA School of Soft Computing for Image Processing and Pattern Recognition, Calcutta, India, December 2-13, 2002.

Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?

Panel Moderator at the 9th International Conference on Neural Information Processing (ICONIP'02) -4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02) - 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, November 18-22, 2002.

From Data Mining and Neural Networks Modeling Towards Rule Extraction

Keynote Address at the First IEEE International Machine Learning and Cybernetics Conference, Beijing, China, November 4-5, 2002.

Neural Networks: From System Modeling to Logic Rules

Keynote Address at the Parallel and Distributed Systems Conference, Louisville, Kentucky, September 19, 2002.

A Hybrid Connectionist System for Multiple Regression

Invited Plenary Presentation at the 6th International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15, 2002. (with R. Setiono)

Neural Networks, NNS and TNN

Opening Statement for the 6th International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15, 2002.

Beyond Two-state Dynamics: Generalized Attractor Neural Networks

Invited Plenary Lecture at the 6th PRIS (Program of Research into Intelligent Systems) Conference, National University of Singapore, Singapore, June 27, 2001.

Neural Networks as Tools for Intelligent Data Analysis

Plenary Lecture, Advanced Study Institute Symposium on Neural and Evolutionary Computations in Spatial Data Analysis, Chinese University of Hong Kong, Hong Kong, June 12-17, 2000.

Optimisation de l'architecture neuronale du perceptron pour l'extraction de regles de decision

Seminar on Interpretation et Classification des Observations pour l'Elaboration de Regles de Decision Suivant une Approche Connectioniste, L'Ecole d'Ingenieurs des Hautes Etudes Industrielles, Lille, France, December 13, 1999.

Seminar on Soft Computing, Knowledge Discovery, and Text Mining

Program on Research into Intelligent Systems, National University of Singapore, December 10, 1999.

Plenary Keynote Lecture: The Future of Neural Networks and Neuro-Fuzzy Systems

2nd Wismarer Automatisierrungssymposium, Wismar, Germany, September 16-17, 1999

From Chaos to Organization: Neurodynamics of 2D Active Medium

Panel Discussion: 21st Century of the Brain, 5th International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, October 21-23, 1998.

Neural Networks Learning for Data Mining

Invited Plenary Talk, 6th International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, October 16-20, 1998

Neural Networks: Past, Present and Future

Special Lecture for the Department of Electronics and Communications, Technical University of Poznan, Poznan, Poland, June 12, 1998.

Engineering Education in the United States

Seminar for the Department of Electronics, Communications and Computer Science, Technical University of Gdansk, Gdansk, Poland, May 7, 1997.

Neural Networks: Past, Present and Future

Seminar for the Department of Electronics, Communications and Computer Science, Technical University of Gdansk, Gdansk, Poland, May 6, 1997.

Perceptron Networks with Reduced Architectures for Rule Extraction, Systems Engineering Seminar

ECECS Department, University of Cincinnati, February 27, 1997.

Architecture Reduction Techniques for Neural Networks

Seminar for the Electrical and Electronic Engineering Department, Hong Kong Polytechnic University, January 13, 1997.

Architecture Reduction Techniques for Neural Networks

Seminar for the Brain Information Processing Research Program, Institute for Physical and Chemical Research, RIKEN, Tokyo, Japan, January 10, 1997.

Pruning of Feedforward Neural Networks and their Inputs

Seminar for the Department of Computer and Systems Science, Osaka Prefecture University, Osaka, Japan, October 7, 1996.

Pruning of Feedforward Neural Networks and their Inputs

Research Seminar, Department of Computer and Communication Engineering, Edith Cowan University, Perth, Australia, June 24, 1996.

Neural Networks: Past, Present and Trends

Research Seminar, Department of Computer and Communication Engineering, Edith Cowan University, Perth, Australia, June 17, 1996.

Neural Networks: Past, Present and Trends

Computer Science and Engineering Seminar, University of Louisville, February 29, 1996.

Neuronale Netze und Fuzzy-Logic und Ihre Anwendungen

Graduate Seminar, Rostock University, Rostock, Germany, January 18, 1996.