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IEEE CIS > Members Activities
Distinguished Lecturer Program
DLP Committee
Members:
Pablo A. Estevez, Chile
Takashi Omori, Japan
Joaquin Sitte, Australia
Annamaria Varkonyi-Koczy, Hungary
Jacek M. Zurada, USA
DLP Calendar
The IEEE CIS Distinguished Lecturer Program is sponsoring the following activities in 2008:
- Speaker: Pablo Estevez
Date: January 31
Location: Cuernavaca, Mexico
Chapter: Mexico Chapter
- Speaker: Robert Marks
Date: April 2
Location: Fort Worth, USA
Chapter: Dallas Chapter
- Speaker: Jacek Zurada
Date: September 7
Location: Technical University - Varna, Bulgaria
Chapter: Bulgaria Chapter
- Speaker: Russell Eberhart
Date: December 15-17
Location: University of Chile
Chapter: Chile Chapter
Program Description
1. Objective
The goal of the CIS Distinguished Lecturer Program is to serve the needs of the members of the CIS Society, in particular those engineers working in industry and government, to enhance their professional vitality by keeping them informed of the latest research advances and their practical applications. A request for sponsorship of a lecture by one of the CIS Distinguished Lecturers must be made by a CIS Chapter Chair, and speakers should tailor their talks to serve the above purpose. Chapters are strongly encouraged to make use of this program.
The CIS Distinguished Lecturer Program is not intended to provide speakers for conferences or for university seminars.
2. Distinguished Lecturers Nomination
CIS Distinguished Lecturers are nominated by Chapter Chairs or by the CIS Executive / Administrative Committees and serve for a term of two years.
3. Distinguished Lecturers Appointment
CIS Distinguished Lecturers are appointed by the CIS Executive Committee with the consent of the CIS Administrative Committee.
4. Distinguished Lectures Reappointment
Distinguished Lecturers may be reappointed indefinitely but must deliver at least one lecture in their previous period of appointment. The latter requirement may be waived by the CIS Administrative Committee.
5. Distinguished Lecturers Eligibility
CIS Distinguished Lecturers should be CIS members in good standing who have advanced to Fellow grade. This requirement may be waived by the CIS President on special cases.
6. DLP Lectures
Upon appointment, CIS Distinguished Lecturers should provide the DLP Chair with contact information and titles of their lectures. Within a period of 90 days after their appointment, Distinguished Lecturers should also provide electronic versions of their presentation material for posting on the CIS WWW site.
7. Steps for organizing a distinguished lecturer visit
7.1. Based on the interests of the members, the Chapter Chair chooses a topic and lecture from the ist of current DLP lecturers and topics. The chair should contact the lecturer directly, copying the DLP Chair (address above), and work out preliminary details of the visit (chapter event, date, location, etc.).
7.2. This preliminary information, including an estimate of the cost, should be sent to the DLP Chair for approval. In general, the Lecturer's travel expenses will be reimbursed up to a maximum of $1500. If expenses are incurred by the chapter, e.g., for hotel accommodations or for refreshments at the time of the lecture, they are paid to the chapter through IEEE. However, expenses to the lecturer will be paid first.
7.3. After the visit is approved by the DLP chair, the Chapter Chair should contact the lecturer to finalize arrangements. The lecture should be open to all members of IEEE. The chair is expected to publicize the event in the chapter or section newsletter and/or by special mailings to all members of the section. The event must be announced as "sponsored by the Neural Networks Society under its Distinguished Lecturer Program", and the lecturer should be mentioned as a CIS Distinguished Lecturer. If other IEEE societies or other organizations have offered to support this chapter activity, then proper acknowledgment of them should also be made.
7.4. Immediately following the event, the Chapter Chair should send a summary report to the DLP chair including information on the date and title of the lecture, a copy of the announcement/publicity, etc.
7.5. Reimbursement. The lecturer (and the chapter officers, if necessary) should retain receipts for all expenses, airline ticket stubs, etc. (See 7.2 above.) Following the event, the lecturer should complete the IEEE travel reimbursement form and send it by email or fax to the DLP chair. Hardcopy of the spreadsheet and original receipts should be mailed to the CIS Vice-president, Finance. If chapter officers require reimbursement, they should contact the DLP chair for instructions.
Speakers
Research Field: Mathematical foundations of neural computation.
Lecture Topic 1: Mathematical theories of neural networks.
Lecture Topic 2: Multilayer perceptron and information geometry.
Lecture Topic 3: Independent component analysis.
 | James C. Bezdek
Computer Science Department
University of West Florida
11000 University Parkway
Pensacola, FL 32514, USA
phone: (+1 850) 474 2545
fax: (+1 850) 857 6056
email: jbezdek .a_t. uwf.edu |
Research Field: Pattern recognition, optimization, neural networks, fuzzy sets.
Lecture Topic 1: Introduction to fuzzy models. (for undergraduate audiences)
Lecture Topic 2: Introduction to clustering and classification. (for undergraduate audiences)
Lecture Topic 3: A variety of research talks (at the graduate level), covering topics such as: alternating optimization, clustering in very large data sets, clustering in incomplete data, cluster validity, visual cluster validity, system identification with fuzzy rule based systems, feature analysis, prototype classifiers, relational clustering, edge detection, self-organizing feature maps and image segmentation.
Research Field: Industrial and financial applications of computational intelligence.
Lecture Topic 1: Evolutionary algorithms + domain knowledge = real-world evolutionary computation.
Lecture Topic 2: From insurance underwriting to remaining-life forecasting in industrial processes: case studies in classification and predictions using soft computing methodologies.
Lecture Topic 3: The development and maintenance of fuzzy rule-based and case-based systems: life cycle issues.
 | Russell C. Eberhart
Electrical and Computer Engineering Department
Indiana University Purdue University Indianapolis (IUPUI)
723 West Michigan Street, SL-160
Indianapolis, IN 46206-5132, USA
phone: (+1 317) 274 9721
fax: (+1 317) 274 4493
email: reberhar .a_t. iupui.edu
www: www.engr.iupui.edu/~eberhart |
Research Field: Computational intelligence.
Lecture Topic 1: Particle swarm optimization.
Lecture Topic 2: Evolving neural networks.
Lecture Topic 3: Biomedical applications of computational intelligence.
 | Rolf Eckmiller (Region 8)
Division of Neuroinformatics, Department of Computer Science
University of Bonn
Romerstrasse 164
Bonn 53117, Germany
phone: (+49 228) 73 44 22
fax: (+49 228) 73 44 25
email: eckmiller .a_t. nero.uni-bonn.de |
Research Field: Computational neuroscience, neural networks, neuroscience of visual and oculomotor system, neurotechnology / learning neural interfaces.
Lecture Topic 1: Computational neuroscience.
Lecture Topic 2: Learning neural interfaces.
Lecture Topic 3: Neural control of vision and eye movements.
 | Mohamed A. El-Sharkawi
Department of Electrical Engineering
University of Washington
Seattle, WA 98195-2500, USA
phone: (+1 206) 685 2286
fax: (+1 206) 543 3842
email: elsharkawi .a_t. ee.washington.edu |
Research Field: Intelligent systems.
Lecture Topic 1: Applications of intelligent systems to power systems.
Lecture Topic 2: Applications of intelligent systems to control.
Lecture Topic 3: Ancillary intelligent system technology.
Research Field: Self-organizing neural networks, fuzzy min-max neural networks, evolutionary computation.
Lecture Topic 1: Data projection and visualization using self-organizing neural networks.
Lecture Topic 2: Fuzzy min-max neural networks for image segmentation.
Lecture Topic 3: Evolutionary computation: application to feature selection and nonlinear mappings.
Lecture Topic 1: Evolutionary computation.
Lecture Topic 2: Neural networks.
Lecture Topic 3: Complex adaptive systems.
 | Toshio Fukuda (Region 10)
Department of Micro-Nano Systems Engineering
Nagoya University
Furo-cho, Chikusa-ku
Nagoya 464-8603, Japan
phone: (+81 52) 789 4478
fax: (+81 52) 789 3115
email: fukuda .a_t. mein.nagoya-u.ac.jp |
Lecture Topic 1: Intelligent robotic systems.
Lecture Topic 2: Adaptation, learning and evolution.
Lecture Topic 3: Human adaptive interfaces.
 | James M. Keller
Electrical and Computer Engineering Department
University of Missouri-Columbia
217 Engineering Building West
Columbia, MO 65211-2060, USA
phone: (+1 573) 882 7339
fax: (+1 573) 882 0397
email: KellerJ .a_t. missouri.edu
www: www.missouri.edu/~kellerj |
Research Field: Pattern recognition and computer vision.
Lecture Topic 1: Introduction to fuzzy set theory and fuzzy logic.
Lecture Topic 2: Computational models for linguistic spatial reasoning and human/machine interaction.
Lecture Topic 3: Soft computing for senor and algorithm fusion.
 | Robert J. Marks
Department of Electrical and Computer Engineering
Baylor University
1311 S. 5th Street, ECS 304B
Waco, TX 76798-7356, USA
phone: (+1 254) 710 7302
fax: (+1 254) 710 3839
email: r.marks .a_t. ieee.org
www: www.RobertMarks.org |
Research Field: Computational intelligence.
Lecture Topic 1: Swarm Intelligence: How Can We Learn From Stupid Bugs Doing Smart Things.
Lecture Topic 2: Conservation of Information in Search: Measuring the Cost of Success.
Lecture Topic 3: Algorithmic Information Theory Lessons from Godel, Turing and Chaitin: Some Things Computational Intelligence Will Never Do.
 | Jerry Mendel
Department of Electrical Engineering
University of Southern California
3740 McClintock Ave
Los Angeles, CA 90089-2564, USA
phone: (+1 213) 740 4445
fax: (+1 213) 740 4651
email: mendel .a_t. sipi.usc.edu
www: sipi.usc.edu/~mendel |
Research Field: Rule-based fuzzy logic systems, type-2 fuzzy sets and fuzzy logic systems, rule-based classification of ground vehicles, fuzzistics.
Lecture Topic 1: New directions in fuzzy logic systems.
Lecture Topic 2: Fuzzy sets for words: why type-2 fuzzy sets must be used.
Lecture Topic 3: Type-2 fuzzy sets: some questions and answers.
Lecture Topic 1: Intelligent control.
Research Field: Granular computing and computational intelligence.
Lecture Topic 1: Fuzzy logic neurons and use-centric neurocomputing.
Lecture Topic 2: Knowledge-based fuzzy clustering
Lecture Topic 3: Foundations and Applications of Granular Computing
Note: These lectures could be offered at undergraduate as well as graduate level.
Research Field: Reasoning under uncertainty and soft computing.
Lecture Topic 1: Intelligent control of disributed teams of robots.
Lecture Topic 2: Qualitative description of complex data objects.
Lecture Topic 3: Similarity/Knowledge-based indexing and retrieval.
Lecture Topic 1: Flexible neuro-fuzzy systems and their applications to modelling and classification.
Lecture Topic 2: Probabilistic neural networks in stationary and time-varying environments.
Lecture Topic 3: Rough-neuro-fuzzy-genetic hybrid systems and their applications.
 | Evangelia Micheli-Tzanakou
Department of Biomedical Engineering
Rutgers University
617 Bowser Road
Piscataway, NJ 08855-0909, USA
phone: (+1 732) 445 2037
fax: (+1 732) 445 3753
email: etzanako .a_t. rci.rutgers.edu |
Lecture Topic 1: Applications of computational intelligence (general).
Lecture Topic 2: Feature extraction in computational intelligence.
Lecture Topic 3: Brain fingerprinting in home security.
Research Field: TBA
Lecture Topic 1: TBA
Lecture Topic 2: TBA
Lecture Topic 3: TBA
Research Field: Evolutionary computation, neural network ensembles.
Lecture Topic 1: Automatic divide-and-conquer using populations and ensembles.
Lecture Topic 2: Co-evolution, games and social behaviors.
Lecture Topic 3: Evolutionary optimisation and constraint handling.
Research Field: Fuzzy logic and its applications.
Lecture Topic 1: Computing with words and perceptions - a paradigm shift in computing and decision analysis.
Lecture Topic 2: From search engines to question-answering systems - the need for new tools.
Lecture Topic 3: Perception-based decision analysis.
 | Jacek M. Zurada
Department of Electrical and Computer Engineering
University of Louisville
405 Lutz Hall
Louisville, KY 40292, USA
phone: (+1 502) 852 6314
fax: (+1 502) 852 3940
email: j.zurada .a_t. ieee.org
www: ci.uofl.edu/zurada |
Lecture Topic 1: Data mining, neural networks and rule extraction.
Lecture Topic 2: Modeling of microelectronic fabrication facilitiy with NN and PCA.
Lecture Topic 3: Unsupervised and supervised learning.
Lecture Topic 4: Publishing successful papers in CSE and CIS.
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