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Graduate Student Research Grants

The IEEE Computational Intelligence Society (CIS) funds scholarships for deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. Any student with a meritorious project is invited to apply, but scholarships will be granted only to applicants who are student members of the IEEE CIS and students at the time the scholarship is awarded

Each scholarship may cover expenses related to:

  1. a visit to another university, institute or research agency for collaboration with an identified researcher in the field of interest of the applicant.
  2. support to the student at their home institution for intensive work on a particular project.

Funds cannot be used for conference travel or buying computers or other equipment.

The field of interest of applicants is open, but should be connected with identifiable component of the CIS (neural networks, fuzzy systems, or evolutionary computation).

The amount of a CIS scholarship varies from $1,000 to $4,000. We expect to award 3-5 scholarships every year. The number of scholarships dependents on the budget approved by CIS ADCOM. Renewals and continuations for a second year support will be considered only if the justification for such a request is sufficiently compelling.

To apply for a CIS scholarship, interested applicants should submit a proposal to the CIS Graduate Student Research Grants Sub-Committee. Your proposal, to be submitted as a single PDF file, should state the general purpose of your request, and should follow these guidelines:

  1. cover page with the applicant's address, student status, IEEE number, expected graduation date, host institution (if applicable).
  2. detailed explanation of the research to be conducted with the support from the scholarship (10pt font, 3 page maximum)
  3. references related to the proposed research (10pt font, 1 page maximum)
  4. a timeline of tasks required to complete research goals
  5. a fully explanatory budget (1 page maximum)
  6. your resume (1 page maximum). Please provide your IEEE member number
  7. 2 reference letters supporting your application (including letters from sponsoring professors, if applicable). These must be included with your application and are not to be received individually

 

Information in the file must follow the above presentation order

Only if requested by the referee, reference letters can also be sent directly to the Graduate Student Research Grants Sub-Committee Chair in order to submit them without the intermediary of the student. Such letters will then not be viewable by the student.

All applications MUST BE RECEIVED no later than the deadline via email to the Graduate Student Research Grants Sub-Committee Chair.

Evaluation and selection will be based on:

  1. Merit of the proposed research
  2. Originality of the research
  3. Qualification and past performance of the applicant
  4. Supporting references
  5. Reasonableness of budget

After the end of the sponsored project:

  1. Student's research sponsor needs to provide a certification to the sub-committee chair stating that the student has performed satisfactory research work as proposed and has met the goals set forth in the proposal.
  2. Upon certification by the student's research sponsor, the student will receive funds as reimbursements for his/her expenses.
  3. Final technical report in the format of a major CIS conference publication are due on December 1 of the award year.

Note the following dates:

Submission of applications: February 14, 2014 - April 11, 2014

Notification of acceptance: May 16, 2014


 

 

2013 Grant Recipients and Final Reports

 

 

2012 Grant Recipients and Final Reports


 

2011 Grant Recipients and Final Reports


 

2010 Grant Recipients and Final Reports

 

 

2009 Grant Recipients and Final Reports

 

 

2008 Grant Recipients and Final Reports

 

  • Andrea Arcuri, University of Birmingham, UK:¬†Automatic Repair of Buggy Software
  • Anna V. Kononova, University of Leeds, UK:¬†Differential Evolution with Scale Factor Local Search for Large Scale Problems
  • Yanchao Wang, Jilin University, China:¬†Research on the Evolutionary Prediction of Very Complex Crystal Structures
  • Yu Wang, University of Science and Technology, China:¬†Investigation on Large Scale Global Optimization with Noise-Induced

 

2007 Grant Recipients and Final Reports

 

  • Broderick Crawford, Universidad T'ecnica Federico Santa Maria, Chile:¬†Integrating Ant Computing and Constraint Programming
  • Maciej Mazurowski, University of Louisville, USA:¬†Computational Intelligence in Patient-Sensitive Medical Decision Systems
  • Olga Nechaeva, Novosibirsk State University, Russia:¬†Neural network approach to construction of 3D surface and volume adaptive meshes based on self-organization
  • Dongrui Wu, University of Southern California, USA:¬†A Comparative Study of Ranking Methods, Similarity Measures and Uncertainty Measures for Interval Type-2 Fuzzy Sets
  • Yusuf Yare, Missouri University of Science and Technology, USA:¬†Optimal Maintenance Scheduling of Power Systems using an Algorithm Inspired by Swarm Intelligence and Quantum Evolution

 

2006 Grant Recipients and Final Reports

 

  • Christopher J. Rozell, Rice University at Houston, USA:¬†Dynamic systems for sparse coding
  • Mostafa Z. Ali, Wayne State University, USA:¬†Exploring Knowledge and Population Swarms via an Agent-Based Cultural Algorithms Simulation Toolkit (CAT)
  • Ting Huang, University of Illinois at Chicago, USA:¬†Neuarl Network Modeling and Feedback Error Learning Control for Automotive Fuel-Injection Sysetms
  • Feilong Liu, University of Southern California, USA:¬†An efficient centroid type reduction strategy for general Type-2 fuzzy logic system
  • Changbo Yang, Wayne State University, USA:¬†Region-based image annotation using multiple-instance learning
  • Wojciech Stach, University of Alberta, Canada:¬†Parallel Genetic Learning of Fuzzy Cognitive Maps
  • Tridib K. Das, University of Rolla, USA:¬†Bio-Inspired Algorithms for the Design of Optimal Controllers for Power System Stabilization

 

2005 Grant Recipients and Final Reports

 

  • Srinivas Andra, Rensselaer Polytechnic Institute, USA:¬†Combining dichotomizers for MAP field classification
  • Andrea Kulakov, Sts Cyril and Methodius University, Macedonia:¬†Efficient data management in wireless sensor networks using artificial neural networks
  • Swakshar Ray, University of Missouri-Rolla, USA:¬†Computaional intelligence for large power systems
  • Lingfeng Wang, Texas A&M University, USA:¬†Hybrid electric vehicle design based on a multi-objective optimization evolutionary algorithm

 

2004 Grant Recipients and Final Reports

 

  • Pedro DeLima, Oklahoma State University, USA:¬†Application of adaptive critic designs for fault tolerant control
  • Zuwairie Ibrahim, Meiji University, Japan:¬†Towards solving weighted graph problems by direct-proportional length-based DNA computing
  • Dragana Jankovic, Technical University of Delft, Netherlands:¬†Moisture transport and drying shrinkage cracking in cement-based materials at early age
  • Ivana Ljubic, Technical University of Vienna, Austria:¬†An evolutionary approach to the fractional prize-collecting Steiner tree problem
  • Roberto Santiago, Portland State University, USA

 

2003 Grant Recipients and Final Reports

 

  • Jian-Hung Chen:¬†Theoretical analysis of multi-objective genetic algorithms convergence time, population sizing, and disequilibrium
  • Min Chen:¬†Modeling of plasma-enhanced chemical vapor deposition of nano-crystalline silicon carbide films using neural network
  • Dan-Marius Dobrea:¬†Bio-psychical and physical fatigue state analysis and assessment
  • Timo Horeis:¬†Intrusion detection with neural networks - combination of self-organizing maps and radial basis function networks for human expert integration

 

2002 Grant Recipients and Final Reports

 

  • Zhe Chen:¬†Proportionate adaptation paradigms and application in network echo cancellation
  • Haiming Lu:¬†Dynamic population strategy sssisted particle swarm optimization in multiobjective evolutionary algorithm design

 

2001 Grant Recipients and Final Reports

 

  • Ivana Ljubic:¬†An evolutionary approach to weighted biconnectivity augmentation problems on graphs
  • Phayung Meesad:¬†Quantitative measures of a fuzzy expert system
  • Ganesh Kumar Venayagamoorthy:¬†Adaptive critic design based neurocontrollers for turbogenerator control
  • Khurram Waheed:¬†Blind source recovery: state space formulations

 

2000 Grant Recipients and Final Reports

 

  • George Chronis:¬†Spatial relations for mobile agent navigation
  • Karen Haines:¬†The functionality of extracellular diffusion in electrical neural processing
  • Serdar Iplikci:¬†An improved algorithm for convergence in training feedforward neural networks
  • Chung-Chu Leung:¬†The nth-term generalized fuzzy tree algorithm applied in edge detection
  • Slawo Wesolkowski:¬†Shading and highlight invariant color image segmentation