1. Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
Author(s): H. Modares, F. L. Lewis, and M.-B. Naghibi-Sistani
Pages: 1513-1525
2. Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition
Author(s): V. G. Kaburlasos, S. E. Papadakis, and G. A. Papakostas
Pages: 1526-1538
3. Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons
Author(s): Q. Yu, H. Tang, K. C. Tan, and H. Li
Pages: 1539-1552
4. Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data
Author(s): R. Jenssen
Pages: 1553-1564
5. RBF-Based Technique for Statistical Demodulation of Pathological Tremor
Author(s): F. Gianfelici
Pages: 1565-1574
6. Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding
Author(s): E. Rodriguez-Martinez, T. Mu, J. Jiang, and J. Y. Goulermas
Pages: 1575-1587
7. Coordination of Multiagents Interacting Under Independent Position and Velocity Topologies
Author(s): J. Qin and C. Yu
Pages: 1588-1597
8. Learning Capability of Relaxed Greedy Algorithms
Author(s): S. Lin, Y. Rong, X. Sun, and Z. Xu
Pages: 1598-1608
9. Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection
Author(s): M. Tan, I. W. Tsang, and L. Wang
Pages: 1609-1622
10. Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting
Author(s): R. Coop, A. Mishtal, and I. Arel
Pages: 1623-1634
11. SVR Learning-Based Spatiotemporal Fuzzy Logic Controller for Nonlinear Spatially Distributed Dynamic Systems
Author(s): X.-X. Zhang, Y. Jiang, H.-X. Li, and S.-Y. Li
Pages: 1635-1647
12. Single Image Super-Resolution With Multiscale Similarity Learning
Author(s): K. Zhang, X. Gao, D. Tao, and X. Li
Pages: 1648-1659
13. Tracking Algorithms for Multiagent Systems
Author(s): D. Meng, Y. Jia, J. Du, and F. Yu
Pages: 1660-1676
14. A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps
Author(s): D. Wang and S. Tapan
Pages: 1677-1688
15. EEG-Based Learning System for Online Motion Sickness Level Estimation in a Dynamic Vehicle Environment
Author(s): C.-T. Lin, S.-F. Tsai, and L.-W. Ko
Pages: 1689-1700
16. New Algebraic Criteria for Synchronization Stability of Chaotic Memristive Neural Networks With Time-Varying Delays
Author(s): G. Zhang and Y. Shen
Pages: 1701
Thursday, 3 October 2013
Saturday, 7 September 2013
IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 9, September 2013
1. Study of the Convergence Behavior of the Complex Kernel Least Mean Square Algorithm
Author(s): Paul, T.K. ; Ogunfunmi, T.
Pages: 1349-1363
2. Transductive Face Sketch-Photo Synthesis
Author(s): Wang, N. ; Tao, D. ; Gao, X. ; Li, X. ; Li, J.
Pages: 1364-1376
3. Learning Sparse Kernel Classifiers for Multi-Instance Classification
Author(s): Fu, Z. ; Lu, G. ; Ting, K.M. ; Zhang, D.
Pages: 1377-1389
4. FPGA-Based Distributed Computing Microarchitecture for Complex Physical Dynamics Investigation
Author(s): Borgese, G. ; Pace, C. ; Pantano, P. ; Bilotta, E.
Pages: 1390-1399
5. Neural-Adaptive Control of Single-Master–Multiple-Slaves Teleoperation for Coordinated Multiple Mobile Manipulators With Time-Varying Communication Delays and Input Uncertainties
Author(s): Li, Z. ; Su, C.-Y.
Pages: 1400-1413
6. Cube Kohonen Self-Organizing Map (CKSOM) Model With New Equations in Organizing Unstructured Data
Author(s): Lim, S.P. ; Haron, H.
Pages: 1414-1424
7. Real-Time Model Predictive Control Using a Self-Organizing Neural Network
Author(s): Han, H.-G. ; Wu, X.-L. ; Qiao, J.-F.
Pages: 1425-1436
8. Memory Models of Adaptive Behavior
Author(s): Traversa, F.L. ; Pershin, Y.V. ; Di Ventra, M.
Pages: 1437-1448
9. Model of an Excitatory Synapse Based on Stochastic Processes
Author(s): L'Esperance, P.-Y. ; Labib, R.
Pages: 1449-1458
10. Combined Convex Technique on Delay-Dependent Stability for Delayed Neural Networks
Author(s): Li, T. ; Wang, T. ; Song, A. ; Fei, S.
Pages: 1459-1465
11. Low-Temperature Fabrication of Spiking Soma Circuits Using Nanocrystalline-Silicon TFTs
Author(s): Subramaniam, A. ; Cantley, K.D. ; Stiegler, H.J. ; Chapman, R.A. ; Vogel, E.M.
Pages: 1466-1471
12. Effect of Input Noise and Output Node Stochastic on Wang's kWTA
Author(s): Sum, J. ; Leung, C.-S. ; Ho, K.
Pages: 1472-1477
13. Controllability and Observability of Boolean Control Networks With Time-Variant Delays in States
Author(s): Zhang, L. ; Zhang, K.
Pages: 1478-1483
14. Quantized Kernel Recursive Least Squares Algorithm
Author(s): Chen, B. ; Zhao, S. ; Zhu, P. ; Principe, J.C.
Pages: 1484-1490
15. On the Optimal Class Representation in Linear Discriminant Analysis
Author(s): Iosifidis, A. ; Tefas, A. ; Pitas, I.
Pages: 1491-1496
16. L\infty Analysis and State-Feedback Control of Hopfield Networks
Author(s): Stoica, A.-M. ; Yaesh, I.
Pages: 1497-1502
17. Sequential Blind Identification of Underdetermined Mixtures Using a Novel Deflation Scheme
Author(s): Zhang, M. ; Yu, S. ; Wei, G.
Pages: 1503-1509
Author(s): Paul, T.K. ; Ogunfunmi, T.
Pages: 1349-1363
2. Transductive Face Sketch-Photo Synthesis
Author(s): Wang, N. ; Tao, D. ; Gao, X. ; Li, X. ; Li, J.
Pages: 1364-1376
3. Learning Sparse Kernel Classifiers for Multi-Instance Classification
Author(s): Fu, Z. ; Lu, G. ; Ting, K.M. ; Zhang, D.
Pages: 1377-1389
4. FPGA-Based Distributed Computing Microarchitecture for Complex Physical Dynamics Investigation
Author(s): Borgese, G. ; Pace, C. ; Pantano, P. ; Bilotta, E.
Pages: 1390-1399
5. Neural-Adaptive Control of Single-Master–Multiple-Slaves Teleoperation for Coordinated Multiple Mobile Manipulators With Time-Varying Communication Delays and Input Uncertainties
Author(s): Li, Z. ; Su, C.-Y.
Pages: 1400-1413
6. Cube Kohonen Self-Organizing Map (CKSOM) Model With New Equations in Organizing Unstructured Data
Author(s): Lim, S.P. ; Haron, H.
Pages: 1414-1424
7. Real-Time Model Predictive Control Using a Self-Organizing Neural Network
Author(s): Han, H.-G. ; Wu, X.-L. ; Qiao, J.-F.
Pages: 1425-1436
8. Memory Models of Adaptive Behavior
Author(s): Traversa, F.L. ; Pershin, Y.V. ; Di Ventra, M.
Pages: 1437-1448
9. Model of an Excitatory Synapse Based on Stochastic Processes
Author(s): L'Esperance, P.-Y. ; Labib, R.
Pages: 1449-1458
10. Combined Convex Technique on Delay-Dependent Stability for Delayed Neural Networks
Author(s): Li, T. ; Wang, T. ; Song, A. ; Fei, S.
Pages: 1459-1465
11. Low-Temperature Fabrication of Spiking Soma Circuits Using Nanocrystalline-Silicon TFTs
Author(s): Subramaniam, A. ; Cantley, K.D. ; Stiegler, H.J. ; Chapman, R.A. ; Vogel, E.M.
Pages: 1466-1471
12. Effect of Input Noise and Output Node Stochastic on Wang's kWTA
Author(s): Sum, J. ; Leung, C.-S. ; Ho, K.
Pages: 1472-1477
13. Controllability and Observability of Boolean Control Networks With Time-Variant Delays in States
Author(s): Zhang, L. ; Zhang, K.
Pages: 1478-1483
14. Quantized Kernel Recursive Least Squares Algorithm
Author(s): Chen, B. ; Zhao, S. ; Zhu, P. ; Principe, J.C.
Pages: 1484-1490
15. On the Optimal Class Representation in Linear Discriminant Analysis
Author(s): Iosifidis, A. ; Tefas, A. ; Pitas, I.
Pages: 1491-1496
16. L\infty Analysis and State-Feedback Control of Hopfield Networks
Author(s): Stoica, A.-M. ; Yaesh, I.
Pages: 1497-1502
17. Sequential Blind Identification of Underdetermined Mixtures Using a Novel Deflation Scheme
Author(s): Zhang, M. ; Yu, S. ; Wei, G.
Pages: 1503-1509
Tuesday, 3 September 2013
Webinar: So you want to be an Academic? Some Tips and Tricks
Professor Bob John of University of Nottingham, United Kingdom, will give a live webinar
to our IEEE CIS members and friends. The information of the webinar is
shown below:
Webinar arrangement
Topic:
Webinar arrangement
Topic:
So you want to be an Academic? Some Tips and Tricks
Date and time:
Date and time:
2:00 PM, Oct 23, 2013, BST (London Time)
9:00 AM, Oct 23, 2013, EDT (New York Time)
9:00 PM, Oct 23, 2013, HKT (Hong Kong Time)
Webinar ID:
Webinar ID:
112-059-947
Registration
Registration
The webinar is free-of-charge. We only have limited seats. First come first served.
Please register for "So you want to be an Academic? Some Tips and Tricks" on Oct 23, 2013 2:00 PM BST at:
https://attendee.gotowebinar. com/register/ 5187699622185856768
Webinar information
https://attendee.gotowebinar.
Webinar information
Speaker:
Professor Bob John, Automated Scheduling, Optimisation and Planning Group (ASAP), University of Nottingham, United Kingdom
Abstract:
Abstract:
This webinar will be given by Bob John who has led two highly successful computational intelligence research groups (www.cci.dmu.ac.uk and www.asap.ac.uk) for more than 12 years. He will give his personal views, based on his experiences, of what's needed to become an academic. Although based in the United Kingdom the points he makes will broadly translate to other countries. He will discuss your best strategies for producing publications, the role of networking, looking for funding and generally how to get on the academic career ladder.
Speaker's Biography:
Speaker's Biography:
Bob has a BSc Mathematics, a MSc in Statistics and a PhD in Fuzzy Logic. He worked in industry for 10 years as a mathematician and knowledge engineer developing knowledge based systems for British Gas and the financial services industry. Bob spent 24 years at De Montfort University in various roles including Head of Department, Head of School and Deputy Dean. He led the Centre for Computational Intelligence research group from 2001 until 2012. He has over 150 research publications of which about 50 are in international journals. Bob joined the University of Nottingham this year where he heads up the Automated Scheduling, Optimisation and Planning (ASAP) research group in the School of Computer Science. The ASAP research group carries out multi-disciplinary research into mathematical models and algorithms for a variety of real-world optimisation problems. ASAP has 8 academic staff, 9 researchers and over 30 PhD students.
Only limited seats are available. Please register as soon as possible.
After registering, you will receive a confirmation email containing information about joining the webinar.
Only limited seats are available. Please register as soon as possible.
After registering, you will receive a confirmation email containing information about joining the webinar.
Wednesday, 21 August 2013
Second Annual CIS IEEE Video Competition
Following on from the first video competition, which produced two
outstanding winning videos about fuzzy logic, we invite you to produce
an introductory 3-minute video about one of the following Computational
Intelligence fields of interest:
● Neural Networks
● Evolutionary Computation
● Hybrid Intelligent Systems
The winners of the previous competition can be seen at:
● www.youtube.com/watch?v=J_Q5X0nTmrA
● www.youtube.com/watch?v=P8wY6mi1vV8
The aim of the video is to answer the question “what is...?”, for a Computational Intelligence field of interest, to an audience of high school students and the general public, with limited mathematical background. The video should also explain an example application of how the method can be used in everyday life. The video should be suitable for posting on YouTube and Facebook. The video competition is an exciting opportunity for all IEEE members to work together in conveying technical topics to nonexperts.
Prizes for entrants:
1st prize: 600USD + iPad* + CIS membership (1 year)
2nd prize: 500USD + CIS membership (1 year)
3rd prize: 400USD + CIS membership (1 year)
Prize for everyone: An iPad* will be raffled to anyone who “likes” a video on our www.facebook.com/IEEE.CIS page (excluding competition entrants and organisers).
Teams consist of 1 to 5 people. The team leader must be an IEEE member.
Registration deadline is 2nd September 2013.
Video submission deadline is 14th October 2013.
Winners will be notified on 1st December 2013.
Rules and submission details can be found at cis.ieee.org/videocomp. Please contact cis.ieee@gmail.com for specific queries.
*Disclaimer: The iPad prize does not apply to countries officially embargoed by the Office of Foreign Assets Control (OFAC) of the U.S. Department of the Treasury. In accordance with U.S. law, IEEE is unable to provide such goods to OFAC embargoed countries. In the case where the first place winner comes from an OFAC embargoed country, no iPad 2 will be awarded.
● Neural Networks
● Evolutionary Computation
● Hybrid Intelligent Systems
The winners of the previous competition can be seen at:
● www.youtube.com/watch?v=J_Q5X0nTmrA
● www.youtube.com/watch?v=P8wY6mi1vV8
The aim of the video is to answer the question “what is...?”, for a Computational Intelligence field of interest, to an audience of high school students and the general public, with limited mathematical background. The video should also explain an example application of how the method can be used in everyday life. The video should be suitable for posting on YouTube and Facebook. The video competition is an exciting opportunity for all IEEE members to work together in conveying technical topics to nonexperts.
Prizes for entrants:
1st prize: 600USD + iPad* + CIS membership (1 year)
2nd prize: 500USD + CIS membership (1 year)
3rd prize: 400USD + CIS membership (1 year)
Prize for everyone: An iPad* will be raffled to anyone who “likes” a video on our www.facebook.com/IEEE.CIS page (excluding competition entrants and organisers).
Teams consist of 1 to 5 people. The team leader must be an IEEE member.
Registration deadline is 2nd September 2013.
Video submission deadline is 14th October 2013.
Winners will be notified on 1st December 2013.
Rules and submission details can be found at cis.ieee.org/videocomp. Please contact cis.ieee@gmail.com for specific queries.
*Disclaimer: The iPad prize does not apply to countries officially embargoed by the Office of Foreign Assets Control (OFAC) of the U.S. Department of the Treasury. In accordance with U.S. law, IEEE is unable to provide such goods to OFAC embargoed countries. In the case where the first place winner comes from an OFAC embargoed country, no iPad 2 will be awarded.
Wednesday, 14 August 2013
IEEE Transactions on evolutionary Computation: Volume 17, Issue 4, August 2013
1. Multiobjective Metaheuristics for Traffic Grooming in Optical Networks
Author(s): Rubio-Largo, A. ; Vega-Rodriguez, M.A. ; Gomez-Pulido, J.A. ; Sanchez-Perez, J.M.
2. Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization
Author(s): Wang, R. ; Purshouse, R.C. ; Fleming, P.J.
3. A Hybrid Framework for Evolutionary Multi-Objective Optimization
Author(s): Sindhya, K. ; Miettinen, K. ; Deb, K.
4. A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem
Author(s): Zhong, J.-H. ; Shen, M. ; Zhang, J. ; Chung, H.S.-H. ; Shi, Y.-H. ; Li, Y.
5. Evolutionary Foundation of Bounded Rationality in a Financial Market
Author(s): Kinoshita, K. ; Suzuki, K. ; Shimokawa, T.
6. Self-Adaptive Evolution Toward New Parameter Free Image Registration Methods
Author(s): Santamaria, J. ; Damas, S. ; Cordon, O. ; Escamez, A.
7. Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction
Author(s): Islam, M.K. ; Chetty, M.
8. Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization
Author(s): Palafox, L. ; Noman, N. ; Iba, H.
9. A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces
Author(s): Buck, A.R. ; Keller, J.M. ; Skubic, M.
Author(s): Rubio-Largo, A. ; Vega-Rodriguez, M.A. ; Gomez-Pulido, J.A. ; Sanchez-Perez, J.M.
2. Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization
Author(s): Wang, R. ; Purshouse, R.C. ; Fleming, P.J.
3. A Hybrid Framework for Evolutionary Multi-Objective Optimization
Author(s): Sindhya, K. ; Miettinen, K. ; Deb, K.
4. A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem
Author(s): Zhong, J.-H. ; Shen, M. ; Zhang, J. ; Chung, H.S.-H. ; Shi, Y.-H. ; Li, Y.
5. Evolutionary Foundation of Bounded Rationality in a Financial Market
Author(s): Kinoshita, K. ; Suzuki, K. ; Shimokawa, T.
6. Self-Adaptive Evolution Toward New Parameter Free Image Registration Methods
Author(s): Santamaria, J. ; Damas, S. ; Cordon, O. ; Escamez, A.
7. Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction
Author(s): Islam, M.K. ; Chetty, M.
8. Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization
Author(s): Palafox, L. ; Noman, N. ; Iba, H.
9. A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces
Author(s): Buck, A.R. ; Keller, J.M. ; Skubic, M.
Tuesday, 13 August 2013
IEEE Transactions on Fuzzy Systems: Volume 21, Issue 4, August 2013
1. Knowledge-Leverage-Based Fuzzy System and Its Modeling
Author(s): Deng, Z. ; Jiang, Y. ; Chung, F.-L. ; Ishibuchi, H. ; Wang, S.
2. Trilateral Teleoperation of Adaptive Fuzzy Force/Motion Control for Nonlinear Teleoperators With Communication Random Delays
Author(s): Li, Z. ; Ding, L. ; Gao, H. ; Duan, G. ; Su, C.-Y.
3. Reliable All-Pairs Evolving Fuzzy Classifiers
Author(s): Lughofer, E. ; Buchtala, O.
4. Priority Weight Intervals Derived From Intuitionistic Multiplicative Preference Relations
Author(s): Xu, Z.
5. A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays
Author(s): Su, X. ; Shi, P. ; Wu, L. ; Song, Y.-D.
6. Looking for Like-Minded Individuals in Social Networks Using Tagging and E Fuzzy Sets
Author(s): Yager, R.R. ; Reformat, M.Z.
7. Adaptive Moving-Target Tracking Control of a Vision-Based Mobile Robot via a Dynamic Petri Recurrent Fuzzy Neural Network
Author(s): Wai, R.-J. ; Lin, Y.-W.
8. A Fuzzy Logic-Based System for Indoor Localization Using WiFi in Ambient Intelligent Environments
Author(s): Garcia-Valverde, T. ; Garcia-Sola, A. ; Hagras, H. ; Dooley, J.A. ; Callaghan, V. ; Botia, J.A.
9. Extending the Contraposition Property of Propositional Logic for Fuzzy Abduction
Author(s): Chakraborty, A. ; Konar, A. ; Pal, N.R. ; Jain, L.C.
10. A Behavioral Distance for Fuzzy-Transition Systems
Author(s): Cao, Y. ; Sun, S.X. ; Wang, H. ; Chen, G.
11. New Stability Conditions Based on Piecewise Fuzzy Lyapunov Functions and Tensor Product Transformations
Author(s): Campos, V.C.S. ; Souza, F.O. ; Torres, L.A.B. ; Palhares, R.M.
12. Relaxation Technique for a T–S Fuzzy Control Design Based on a Continuous-Time Fuzzy Weighting-Dependent Lyapunov Function
Author(s): Kim, S.H.
13. Comparing Fuzzy, Probabilistic, and Possibilistic Partitions Using the Earth Mover’s Distance
Author(s): Anderson, D.T. ; Zare, A. ; Price, S.
14. Parallel Algorithms for Fuzzy Ontology Reasoning
Author(s): Bobillo, F. ; Delgado, M. ; Sanchez-Sanchez, J.C.
15. A Matrix Approach to Latticized Linear Programming With Fuzzy-Relation Inequality Constraints
Author(s): Li, H. ; Wang, Y.
Author(s): Deng, Z. ; Jiang, Y. ; Chung, F.-L. ; Ishibuchi, H. ; Wang, S.
2. Trilateral Teleoperation of Adaptive Fuzzy Force/Motion Control for Nonlinear Teleoperators With Communication Random Delays
Author(s): Li, Z. ; Ding, L. ; Gao, H. ; Duan, G. ; Su, C.-Y.
3. Reliable All-Pairs Evolving Fuzzy Classifiers
Author(s): Lughofer, E. ; Buchtala, O.
4. Priority Weight Intervals Derived From Intuitionistic Multiplicative Preference Relations
Author(s): Xu, Z.
5. A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays
Author(s): Su, X. ; Shi, P. ; Wu, L. ; Song, Y.-D.
6. Looking for Like-Minded Individuals in Social Networks Using Tagging and E Fuzzy Sets
Author(s): Yager, R.R. ; Reformat, M.Z.
7. Adaptive Moving-Target Tracking Control of a Vision-Based Mobile Robot via a Dynamic Petri Recurrent Fuzzy Neural Network
Author(s): Wai, R.-J. ; Lin, Y.-W.
8. A Fuzzy Logic-Based System for Indoor Localization Using WiFi in Ambient Intelligent Environments
Author(s): Garcia-Valverde, T. ; Garcia-Sola, A. ; Hagras, H. ; Dooley, J.A. ; Callaghan, V. ; Botia, J.A.
9. Extending the Contraposition Property of Propositional Logic for Fuzzy Abduction
Author(s): Chakraborty, A. ; Konar, A. ; Pal, N.R. ; Jain, L.C.
10. A Behavioral Distance for Fuzzy-Transition Systems
Author(s): Cao, Y. ; Sun, S.X. ; Wang, H. ; Chen, G.
11. New Stability Conditions Based on Piecewise Fuzzy Lyapunov Functions and Tensor Product Transformations
Author(s): Campos, V.C.S. ; Souza, F.O. ; Torres, L.A.B. ; Palhares, R.M.
12. Relaxation Technique for a T–S Fuzzy Control Design Based on a Continuous-Time Fuzzy Weighting-Dependent Lyapunov Function
Author(s): Kim, S.H.
13. Comparing Fuzzy, Probabilistic, and Possibilistic Partitions Using the Earth Mover’s Distance
Author(s): Anderson, D.T. ; Zare, A. ; Price, S.
14. Parallel Algorithms for Fuzzy Ontology Reasoning
Author(s): Bobillo, F. ; Delgado, M. ; Sanchez-Sanchez, J.C.
15. A Matrix Approach to Latticized Linear Programming With Fuzzy-Relation Inequality Constraints
Author(s): Li, H. ; Wang, Y.
Monday, 5 August 2013
Nominations for IEEE CIS Distinguished Lecturers
The Committee of the Distinguished Lecturer Program (DLP) of the IEEE
CIS Society invites all Society’s Technical Committees Chairs, Chapter
Chairs, EiCs, and AdCom/ExCom members to nominate Distinguished
Lecturers. Five to seven exceptionally outstanding IEEE CIS members will
be selected among the nominees to serve as the DLs for the three year
term of 2014-2016. The nominations should be received no later than August 30, 2013.
The nomination form, procedure, policies and criteria for the Selection of DL Lecturers are available at the following URL: http://cis.ieee.org/distinguished-lecturers-program.html
The nomination form, procedure, policies and criteria for the Selection of DL Lecturers are available at the following URL: http://cis.ieee.org/distinguished-lecturers-program.html
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