IEEE CIS Past Award Recipients

Neural Networks Pioneer Award

2023: Donald C. Wunsch II
2022: Derong Liu
2021: Sepp Hochreiter
2019: Yoshua Bengio
2018: Lee Giles
2016: Marios M. Polycarpou
2016: Jürgen Schmidhuber
2014: Yann LeCun
2014: Jun Wang
2013: Frank Lewis
2011: Jose C. Principe
2010: Vladimir Vapnik
2009: John G. Taylor
2008: Gail Carpenter
2008: Kumpati S. Narendra
2007: Michael Jordan
2006: Erkki Oja
2006: Donald Specht
2005: Carver Mead
2004: Andrew Barto
2003: Kunihiko Fukushima
2002: Terrence J. Sejnowski
2001: James McClelland
2001: David E. Rumelhart
2000: Leon Chua
1999: Robert Hecht-Nielsen
1998: Geoffrey E. Hinton
1997: John J. Hopfield
1995: Michael A. Arbib
1995: Nils J. Nilsson
1995: Paul J. Werbos
1994: Christoph von der Malsburg
1993: Thomas M. Cover
1992: Shun-Ichi Amari
1992: David Willshaw
1992: Walter Freeman
1991: Stephen Grossberg
1991: Teuvo Kohonen
1991: Bernard Widrow

Fuzzy Systems Pioneer Award

2023: Hao Ying
2022: Gang (Gary) Feng
2021: Lawrence O. Hall and Kazuo Tanaka
2020: Laszlo Koczy
2019: Hisao Ishibuchi
2018: Bernadette Bouchon Meunier
2018: Rudolf Kruse
2017: Chin-Teng Lin
2016: Frederick E. Petry
2015: Nikhil Pal
2015: Dimitar Filev
2014: Masaharu Mizumoto
2013: Witold Pedrycz
2012: Piero P. Bonissone
2012: Abraham Kandel
2011: Hans J. Zimmermann
2010: Hideo Tanaka
2009: Enrique H. Ruspini
2009: Tomohiro Takagi
2008: Jerry M. Mendel
2008: Takeshi Yamakawa
2007: James M. Keller
2007: George Klir
2006: Janusz Kacprzyk
2005: Enric Trillas
2004: Ronald Yager
2003: Ebrahim J. Mamdani
2002: Didier Dubois
2002: Henri Prade
2001: Jim Bezdek
2000: Michio Sugeno
2000: Lotfi Zadeh

Evolutionary Computation Pioneer Award

2023: Stephanie Forrest
2022: Darrell Whitley
2021: Carlos Coello Coello
2020: Risto Miikkulainen
2019: Zbigniew Michalewicz
2018: Kalyanmoy Deb
2017: Kenneth Price & Rainer Storn 
2016: Marco Dorigo
2015: Thomas Bäck
2014: George Burgin
2013: Xin Yao
2012: Russell C. Eberhart and James Kennedy
2012: J.David Schaffer
2011: Larry J. Eshelman
2010: John Greffenstette
2010: David E. Goldberg
2008: David B. Fogel
2005: Kenneth De Jong
2004: Richard Friedberg
2003: John H. Holland
2002: Ingo Rechenberg
2002: Hans-Paul Schwefel
2001: Michael Conrad
2000: George Box
1999: Alex S. Fraser
1998: Lawrence J. Fogel

Enrique Ruspini Meritorious Service Award

2023: Hisao Ishibuchi and Janusz Kacprzyk
2021: Nikhil R. Pal
2020: Pau-Choo Julia Chung
2019: Pablo Estevez
2017: Xin Yao
2016: Gary Fogel
2015: Marios Polycarpou
2013: Gary Yen
2012: Bernadette Bouchon-Meunier
2011: Patrick K. Simpson
2010: James M. Keller
2009: Vincenzo Piuri
2008: Jacek M. Zurada
2007: David B. Fogel
2006: Evangelia Micheli-Tzanakou
2005: Piero P. Bonissone
2004: Enrique H. Ruspini
2003: Clifford Lau
2002: Walter Karplus
2001: James C. Bezdek
2000: Robert J. Marks

IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award

2023: Jun Yin and Shiliang Sun: "Multiview Uncorrelated Locality Preserving Projection” IEEE TNNLS, Vol. 31, pp. 3442-3455, 2020

2022: Chenguang Yang, Chuize Chen, Wei He, Rongxin Cui, and Zhijun Li. "Robot Learning System based on Adaptive Neural Control and Dynamic Movement Primitives." IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 3, pp.777-787, 2019.

2021: C.L.Philip Chen and Zhulin Liu, for the paper entitled "Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 1, pp. 10-24, January 2018.

2019:  Klaus Greff, Rupesh K Srivatava, Jan Koutnik, Bas R. Steunebrink and Juergen Schmidhuber, for the paper entitled "LSTM: A Search Space Odyssey”, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2222 - 2232, October 2017.

2018: Tong Wang, Huijun Gao, and Jianbin Qiu, for the paper entitled "A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 416-425, February 2016.

2017: Derong Liu and Xiong Yang, "Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems," IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 4, pp. 866-879, Apr. 2015.

2016: CLP Chen, GX Wen, YJ Liu, FY Wang, "Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-delay Systems using Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, No. 6, pp. 1217-1226, 2014.

2015: Cesare Alippi, Giacomo Boracchi and Manuel Roveri, “Just-in-Time Classifiers for Recurrent Concepts", Vol. 24, No. 4, 2013, pp. 620-634.

2015: Qiang Yu, Huajin Tang, Kay Chen Tan and Haizhou Li, “Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons", Vol. 24, No. 10, 2013, pp. 1539-1552.

2013: Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fangxiang Wu, “Recurrent Neural Network for Non-Smooth Convex Optimization Problems with Application to the Identification of Genetic Regulatory Networks", Vol. 22, No. 5, May 2011, pp. 714-726.

2012: Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang and Zhanshan Wang, "Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay", Vol. 21, No. 1, January 2010, pp. 91-106.

2011: H. Chen, P. Tino and X. Yao, “Probabilistic Classification Vector Machines”, Vol. 20, No. 6, June 2009, pp. 901-914.

2010: Qingshan Liu and Jun Wang, "A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming," Vol. 19, No. 4, April 2008, pp. 558-570.

2008: Michael E. Mavroforakis and Sergios Theodoridis, "A geometric approach to support vector machine classification", Vol. 17, No. 3, May 2006, pp. 671-682.
2007: DL Wang, "The Time Dimension for Scene Analysis", Vol. 16, No. 6, November 2005, pp. 1401-1426.
2006: J. Kwok and I. Tsang, "The pre-image problem in kernel methods," Vol. 15, No. 6, November 2004, pp. 1517-1525.
2005: L. Rutkowski and K. Cpalka, "Flexible neuro-fuzzy systems," Vol. 14, No. 3, May 2003, pp. 554-574.
2004: J. Lu, K. N. Plataniotis and A. N. Venetsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms," Vol. 14, No. 1, January 2003, pp. 117-126.
Published in 2001: M. Baglietto, T. Parisini, and R. Zoppoli, "Distributed-information neural control: the case of dynamic routing in traffic networks," Vol. 12, No. 3, May 2001, pp. 485-502.
Published in 2000: George N. Karystinos and Dimitris A. Pados, "On overfitting, generalization and randomly expanded training sets," Vol. 11, No. 5, September 2000, pp. 1050-1057.
Published in 1999: R. Eckhorn, "Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models," Vol. 10, No. 3, May 1999, pp. 464-479.
Published in 1998: Yasuo Matsuyama, "Multiple descent cost competition: restorable self-organization and multimedia information processing," Vol. 9, No. 1, January 1998, pp. 106-122.
Published in 1995: J. Mao and A.K. Jain, "Neural networks for feature extraction and multivariate data projection," Vol. 6, No. 2, March 1995, pp. 296-317

IEEE Transactions on Fuzzy Systems Outstanding Paper Award

2023: Jie Lu; Hua Zuo; Guangquan Zhang: ” Fuzzy Multiple-Source Transfer Learning IEEE Transactions on Fuzzy Systems, vol. 28, no. 12, pp. 3418-3431, December 2020

2022: C. Li, Y. Dong and F. Herrera, "A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups," in IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 221-233, Feb. 2019, doi: 10.1109/TFUZZ.2018.2857720.

2021: Armando Segatori, Francesco Marcelloni, Youyong Kong and Witold Pedrycz for the paper entitled "On Distributed Fuzzy Decision Trees for Big Data", IEEE Transactions on Fuzzy Systems, vol. 26, no. 1, pp. 174-192, February 2018.

2019: Yue Deng, Zhiquan Ren, Youyong Kong, Feng Boa and Qionghai Dai for the paper entitled “A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification”, IEEE Transactions on Fuzzy Systems, vol. 25, no. 4, pp. 1006-1012, August 2017.

Published in 2016: Mahardhika Pratama, Jie Lu, and Guangquan Zhang for the paper entitled “Evolving Type-2 Fuzzy Classifier”, IEEE Transactions on Fuzzy Systems, vol. 24, no. 3, pp. 574-589, 2016.
Published in 2015: Shaocheng Tong, Shuai Sui and Yongming Li, “Fuzzy adaptive output feedback control of MIMO nonlinear systems with partial tracking errors constrained”, IEEE Transactions on Fuzzy Systems, vol.23, no.4, pp.729-742, 2015
Published in 2014: Hui Zhang, Yang Shi and Junmin Wang, “On Energy-to-Peak Filtering for Nonuniformly Sampled Nonlinear Systems: A Markovian Jump System Approach IEEE Transactions on Fuzzy Systems, vol. 22, no. 1, pp. 212-222, 2014
Published in 2013: Humberto Bustince, Mikel Galar, Benjamin Bedregal, Anna Kolesárová and Radko Mesiar, "A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications," Vol. 21, No. 6, 2013, pp. 1150-1162.
Published in 2012: Rosa M. Rodríguez, Luis Martínez, and Francisco Herrera, "Hesitant Fuzzy Linguistic Term Sets for Decision Making," Vol. 20, No. 1, February 2012, pp. 109-119.
Published in 2012: Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, and Bernard De Baets, "A Kernel-Based Framework for Learning Graded Relations From Data," Vol. 20, No. 6, December 2012, pp. 1090-1101.
Published in 2011: Dongrui Wu and Jerry M. Mendel, "On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems," Vol. 19, No. 1, 2011, pp. 179-192.
Published in 2010: Deng-Feng Li, "TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making with Interval-Valued Intuitionistic Fuzzy Sets,” Vol. 18, No. 4, August 2010, pp. 299-311
Published in 2010: Christian Wagner and Hani Hagras, “Toward General Type-2 Fuzzy Logic Systems Based on zSlices,” Vol. 18, No. 4, April 2010, pp. 637-660
Published in 2008: Francisco Herrera, Enrique Herrera-Viedma and Luis Martinez Lopez, "A fuzzy linguistic methodology to deal with unbalanced linguistic term sets," Vol. 16, No. 2, April 2008, pp. 354-370
Published in 2007 (bestowed in 2009):Simon Coupland and Robert John, "Geometric type-1 and type-2 fuzzy logic systems," Vol. 15, No. 1, February 2007, pp. 3-15.
Published in 2006 (bestowed in 2008):Zhiheng Huang and Qiang Shen, "Fuzzy interpolative reasoning via scale and move transformations", Vol. 14, No. 2, April 2006, pp. 340-359.
Published in 2005 (bestowed in 2007):C-L Chen, G. Feng, D. Sung, X-P Wang, "H_infinity Control of Discrete-time Fuzzy Systems with application to Chaos Control", Vol. 13, No. 4, August 2005, pp. 531-543.
Published in 2004 (bestowed in 2006): H. Hagras, "A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots," Vol. 12, No. 4, August 2004, pp. 524-539.
Published in 2003: L. Kuncheva, "Fuzzy versus non-fuzzy in combining classifiers designed by boosting," Vol. 11, No. 6, December 2003, pp. 729-741.
Published in 2002: D. Dubois, E. Hüllermeier, and H. Prade, "Fuzzy set-based methods in instance-based reasoning," Vol. 10, No. 3, June 2002, pp. 322-332.
Published in 2001: S. Guillaume, "Designing fuzzy inference systems from data: an interpretability-oriented review," Vol. 9, No. 3, June 2001, pp. 426-443.
Published in 2000: M. A. Mohammed and P. Gader, "Generalized hidden Markov models - parts I and II," Vol. 8, No. 1, February 2000, pp. 67-94.
Published in 1999: N. N. Karnik, J. M. Mendel and Q. Liang, "Type-2 fuzzy logic systems," Vol. 7, No. 6, December 1999, pp. 643-658.
Published in 1998: J. Joh, Y. Chen, and R. Langari, "On the stability of issues of linear Tagaki-Sugeno fuzzy models," Vol. 6, No. 3, August 1998, pp. 402-410.  
Published in 1996: K. Tanaka, T. Ikeda, H.O. Wang "Robust Stabilization of a Class of Uncertain Nonlinear Systems via Fuzzy Control:Quadratic Stabilizability, H-infinity Control Theory and Linear Matrix Inequalities », Vol.4, No.1, pp.1-13

IEEE Transactions on Evolutionary Computation Outstanding Paper Award

2023: Kavitesh Kumar Bali; Yew-Soon Ong; Abhishek Gupta; Puay Siew Tan, “Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II IEEE Transactions on Evolutionary Computation, Vol. 24, No. 1, pp. 69-83, February 2020

2019: Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda and Yusuke Nojima for the paper entitled “Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes”, IEEE Transactions on Evolutionary Computation, vol. 21, no. 2, pp. 169 - 190, April 2017.

Published in 2016: Abhishek Gupta, Yew Soon Ong and Liang Feng for the paper entitled “Multifactorial Evolution: Toward Evolutionary Multitasking”, IEEE Transactions on Evolutionary Computation, vol. 20, no. 3, pp. 343-357, 2016.

Published in 2015: Xingyi Zhang, Ye Tian, Ran Chen and Yaochu Jin, “An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, 19(2): 201-213, April 2015.

Published in 2014: Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei and Xin Yao, "Cooperative co-evolution with differential grouping for large scale optimization”, IEEE Transactions on Evolutionary Computation, 18(3): 378-393, 2014

Published in 2013: Urvesh Bhowan, Mark Johnston, Mengjie Zhang and Xin Yao, "Evolving Diverse Ensembles Using Genetic Programming for Classification with Unbalanced Data," Vol. 17, No. 3, 2013, pp. 368-386.

Published in 2012: Oliver Schütze, Xavier Esquivel, Adriana Lara, and Carlos A. Coello Coello, "Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multi-Objective Optimization," Vol. 16, No. 4, August 2012, pp. 504-522.

Published in 2010: Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello and Oliver Schütze, “HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms”, Vol. 14, No. 1, February 2010, pp. 112-132.

Published in 2009: A. K. Qin, V. L. Huang and P.N. Suganthan, “Differential Evolution Algorithm with Strategy Adaptation for Global Numerical Optimization”, Vol. 13, No. 2, April 2009, pp. 398-417.

Published in 2009: Q. H. Nguyen, Y. S. Ong and M. H. Lim, “A Probabilistic Memetic Framework” Evolution Algorithm with Strategy Adaptation for Global Numerical Optimization”, Vol. 13, No. 3, June 2009, pp. 604-623.

Published in 2008: S. Y. Chong, P. Tino and X. Yao, "Measuring generalization performance in coevolutionary learning," Vol. 12, No. 4, August 2008, pp. 479-505.
Published in 2007 (bestowed in 2009):Qingfu Zhang and Hui Li, "MOEA/D: a multi-objective evolutionary algorithm based on decomposition," Vol. 11, No.6, December 2007, pp. 712-731.

Published in 2006 (bestowed in 2008): Joshua Knowles, "ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization", Vol. 10, No. 1, February 2006, pp. 50-66.

Published in 2005 (bestowed in 2007): C. Blum and M. Dorigo, Search Bias, "Ant-Colony Optimization: On the role of Competition-balanced Systems", Vol. 9, No. 2, April 2005, pp. 159-174.

Published in 2004 (bestowed in 2006): A. Pruegel-Bennett, "Symmetry breaking in population-based optimization," Vol. 8, No. 1, February 2004, pp. 63-79.

Published in 2003: J. Knowles and D. Corne, "Properties of an adaptive archiving algorithm for storing nondominated vectors," Vol. 7, No. 2, April 2003, pp. 100-116.

Published in 2002: M. Clerc and J. Kennedy, "The particle swarm explosion: stability and convergence in a multi-dimensional complex space," Vol. 6, No. 1, February 2002, pp. 58-73.

Published in 2001: A. Sierra, J. A. Macias and F Corbacho, "Evolution of functional link networks," Vol. 5, No. 1, February 2001, pp. 54-65.

Published in 2000: C. Dimopoulous and A. M. S. Zalzala, "Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons," Vol. 4, No. 2, July 2000, pp. 93-113.

Published in 1999: A. E. Eiben, R. Hinterding, and Z. Michalewicz, "Parameter control in evolutionary algorithms," Vol. 3, No. 2, July 1999, pp. 124-141.

IEEE Transactions on Autonomous Mental Development Outstanding Paper Award

2023: Tobias Fischer and Yiannis Demiris,” Computational Modeling of Embodied Visual Perspective Taking IEEE Transactions on Cognitive and Developmental Systems, Vol. 12, No. 4, pp. 123-132, 2020

2019: Dongbin Zhao, Yaran Chen and Le Lv, for the paper entitled “Deep Reinforcement Learning With Visual Attention for Vehicle Classification“, IEEE Transactions on Cognitive and Developmental Systems, vol. 9, no. 4, pp. 356 – 367, December 2017.

Published in 2016: Hande Celikkanat, Guner Orhan, Nicolas Pugeault, Frank Guerin, and Erol Şahin, for the paper entitled Learning Context on a Humanoid Robot Using Incremental Latent Dirichlet Allocation, IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), vol. 8, no. 1, pp. 42-59, 2016.

Published in 2015: Wei-Long Zheng and Bao-Liang Lu, ”Investigating Critical Frequency Bands and Channels for EEG-based Emotion Recognition with Deep Neural Networks, IEEE Transactions on Autonomous Mental Development (IEEE TAMD), vol. 7, no. 3, pp. 162-175, 2015.

Published in 2013: Joanna Rączaszek-Leonardi, Iris Nomikou and Katharina J. Rohlfing, "Young Children’s Dialogical Actions: The Beginnings of Purposeful Intersubjectivity," Vol. 5, No. 3, 2013, pp. 210-221.

IEEE Transactions on Games Outstanding Paper Award (Formerly IEEE Computational Intelligence and AI in Games)

2023: Yunqi Zhao; Igor Borovikov; Fernando de Mesentier Silva; Ahmad Beirami; Jason Rupert; Caedmon Somers; Jesse Harder; John Kolen; Jervis Pinto; Reza Pourabolghasem; James Pestrak; Harold Chaput; Mohsen Sardari; Long Lin; Sundeep Narravula; Navid Aghdaie; Kazi Zaman, "Winning Is Not Everything: Enhancing Game Development With Intelligent Agents”, IEEE Transactions on Games, Vol. 2, Issue 2, pp. 199-212, June 2020.

Published in 2014: Richard Evans and Emily Short, "Versu—A Simulationist Storytelling System. IEEE Transactions on Computational Intelligence and AI in Games", Vol. 6, No. 2, 113 – 130. 2014. Published in 2013: Noor Shaker, Georgios N. Yannakakis and Julian Togelius, "Crowd-Sourcing the Aesthetics of Platform Games," VVol. 5, No. 3, 2013, pp. 276-290.

Published in 2012: Achiya Elyasaf, Ami Hauptman, and Moshe Sipper, "Evolutionary Design of FreeCell Solvers," Vol. 4, No. 4, December 2012, pp. 270-281.

IEEE Computational Intelligence Magazine Outstanding Paper Award

2023: Md Shad Akhtar, Asif Ekbal, and Erik Cambria, " How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble” IEEE Computational Intelligence Magazine, Vol. 15, Issue 1, pp. 64-75, Feb. 2020.

Published 2017 (bestowed in 2019): Ye Tian, Ran Cheng, Xingyi Zhang and Yaochu Jin, for the paper entitled "PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization", IEEE Computational Intelligence Magazine, vol. 12, no. 4, pp. 73-87, November 2017.

Published in 2016: Jun Hu, Huajin Tang, Kay Chen Tan and Haizhou Li, for the paper entitled "How the Brain Formulates Memory: A Spatio-Temporal Model," IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 56-68, May 2016.
Published in 2015: G. Ditzler, M Roveri and C Alippi, "Learning in Nonstationary Environments: A survey" , IEEE Computational Intelligence Magazine, vol. 10, no. 4, pp. 12-25, Nov. 2015
Published in 2014: Zhi-Hua Zhou, Nitesh V. Chawla, Yaochu Jin and Graham J.Williams, “Big data opportunities and challenges: Discussions from data analytics perspectives”, IEEE Computational Intelligence Magazine, vol. 9, no. 4, 2014 November, pp.62-74.
Published in 2013: Nicola Bova, Óscar Ibáñez and Óscar Cordón, "Image Segmentation Using Extended Topological Active Nets Optimized by Scatter Search," Vol. 8, No. 1, 2013, pp. 16-32.
Published in 2012: Minh Nghia Le, Yew Soon Ong, Yaochu Jin, and Bernhard Sendhoff, "A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design," Vol. 7, No. 1, February 2012, pp. 20-35.

Outstanding Chapter Award

2023: IEEE Computational Intelligence Chapter, Bangalore Section
2022: IEEE CIS Student Branch Chapter, G H Raisoni College of Engineering, Nagpur, India
2021: IEEE CIS Student Branch at Universidade de Brasília, Brazil
2019: IEEE CIS San Diego Chapter
2018: Hyderabad Chapter, Naresh kumar Mallenahalli
2017: Madras Chapter, N Kumarappan
2016: Xiamen Chapter, Min Jiang
2015: Hefei Chapter, Bin Li 
2014: UKRI Chapter, Damien Coyle
2013: Hyderabad Chapter, Amit Kumar
2012: CIS Singapore Chapter, P. N. Suganthan
2011: Egypt Chapter, Hani Hagras
2010 : Argentina Chapter, Gerardo Gabriel Acosta
2009: Queensland Chapter, Brijesh Verma
2008: Poland Chapter, Leszek Rutkowski
2007: Mexico Chapter, Patricia Melin
2006: Chile Chapter, Pablo Estevez

Outstanding PhD Dissertation Award

2023: Daniel Yazdani for his dissertation entitled "Particle: Swarm optimization for dynamically changing environments with particular focus on scalability and switching cost." Liverpool John Moores University, August 2018.

2020: Zhen Ni
2019: Ran Cheng for his dissertation entitled "Nature Inspired Optimization of Large Problems"/ University of Surrey, United Kingdom, March 2016
2018: Dr. Zhi-Hui Zhan for his dissertation entitled "Research into Machine Learning Aided Particle Swarm Optimization and Its Engineering Application "
2017: Daniel Leite, "Evolving granular systems". University of Campinas, Brazil (Supervisor: Professor Fernando Gomide)
2016: Wei-Neng Chen, "Set-Based Discrete Particle Swarm Optimization and its Application to Project Resource Scheduling," Sun Yat-Sen University, China, 2012
2015: Yong Wang, "Evolutionary Algorithm for Complex Continuous Optimization Problems," Central South University, China, 2011
2014: Jane Jing Liang, “Novel Particle Swarm Optimizers with Hybrid, Dynamic and Adaptive Neighborhood Structures,” Nanyang Technological University, Singapore, March 2009
2013: Haiping Lu, “Multilinear subspace learning for face and gait recognition” University of Toronto, USA, 2009
2012: Dongrui Wu, "Intelligent Systems for Decisions Support," University of Southern California, USA, 2009
2011: Huanhuan Chen, "Diversity and Regularization in Neural Network Ensembles," University of Birmingham, UK, 2008
2010: Michael Mavroforakis, "Geometric Approach to Statistical Learning Theory through Support Vector Machines with Application to Medical Diagnosis", National & Kapodistrian University of Athens, Greece, 2008
2009: Siang Yew Chong, "Generalization and Diversity in Co-evolutionary Learning", University of Birmingham, UK, 2007
2008: Damien Coyle, "Intelligent Preprocessing and Feature Extraction Techniques for a Brain Computer Interface", University of Ulster, Northern Ireland, UK, 2006
2007: Juwei Lu, "Discriminant Learning for Face Recognition", University of Toronto, Canada, 2004

Outstanding Organization Award

2017: British Telecom
2015: Larus Technologies Corporation, Canada
2014: Honda Research Institute Europe, Germany
2012: The European Centre for Soft Computing, Spain
2011: Natural Selection, Inc.

Outstanding Early Career Award

2023: Bing Xue
2021: Zhi-Hui Zhan
2020: Julian Togelius
2019: Erik Cambria
2018: Ke Tang
2017: Dong Xu
2016: Yun Fu
2015: Nitesh Chawla
2014: Haibo He
2013: Zhi-Hua Zhou
2012: Kay Chen Tan
2011: Oscar Cordón