IEEE AI Ethics Research Grants

IEEE AI Ethics Research Grants is sponsored by IEEE. This program funds research aligned with the IEEE Ethically Aligned Design framework and related IEEE AI standards. It supports work on ethical AI system design, value-sensitive engineering, autonomous system safety, and the development of technical standards for AI accountability.

Projects contributing to IEEE's suite of AI ethics standards (P7000 series) receive priority.

Graduate Student Research Grants - IEEE Computational Intelligence Society IEEE Computational Intelligence Society Graduate Student Research Grants Graduate Student Research Grants 𝟮𝟬𝟮𝟲 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗚𝗿𝗮𝗻𝘁𝘀 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗡𝗼𝘄 Closed The IEEE Computational Intelligence Society (CIS) invites applications for Graduate Student Research Grants.

The grants aim to support graduate students to undertake research visits during academic breaks by paying towards travel and living costs. Applications can be for research that relates to an identifiable component of CIS, such as neural networks, evolutionary computation and fuzzy systems. Successful grant applicants will receive financial support to conduct research during their academic break periods.

The aim of the grant is to support visits to another research institution for collaboration with an established researcher in the applicant’s field of interest, relevant to computational intelligence. In certain cases, the grant may also support intensive research work on a specific project at the applicant’s own institution, provided that the work is supervised by an established researcher at the institution.

An example is where, due to extenuating circumstances, such work is not feasible during regular academic semesters. Sufficient justification will be required in this case. The grant amount awarded will range from $1,000 to $4,000, depending on the budget requested for the proposed activities.

The total number of grants awarded each year depends on the budget approved by CIS AdCom. Renewal for continued support in the following year will only be considered if a sufficiently compelling justification is provided and approved. The funds may be used to cover travel, housing, and living expenses, but they CANNOT be used for stipends, salaries, conference travel, or the purchase of computers or other equipment.

Funds will be reimbursed on successful completion of the project on submission of receipts and certification from the primary research supervisor. Applicants must be Graduate Students and IEEE CIS student members at the time the grant is awarded.

The application must include a primary research supervisor who agrees to certify willingness to supervise the applicant on the proposed project and endorse the final project technical report upon its completion. To apply for the grant, applicants should complete the Submission Form online and attach the proposal as a single PDF file . Applications must be received no later than March 30, 2026 .

(Now Closed) The proposal must include the following content, in the order specified: 1. Cover page with the applicant’s address, student status, IEEE membership number, home institution, expected graduation date, host institution (if applicable), and the primary research supervisor for the grant. 2.

Detailed explanation of the proposed research to be conducted with the support of the grant (10pt font, 3-page maximum). 3. References related to the proposed research (10pt font, 1-page maximum).

4. Timeline of tasks required to achieve the proposed research goals. 5.

Detailed budget and justification , including individual line items with a justification for each requested item and amount (1-page maximum). If the work is to be conducted at the applicant’s home institution, explain why the funds are necessary to continue the work during break periods and why the work cannot proceed and be completed during regular academic semesters (additional 1-page maximum). 6.

Resume of the applicant (1-page maximum), including your IEEE membership number. 7. Two reference letters supporting the application, including one from the applicant’s current principal academic supervisor (if applicable).

The letters should be appended to the application proposal, rather than submitted separately. Note: Only if requested by the referee, reference letters may instead be sent directly to the Graduate Student Research Grants Sub-Committee Chair, to bypass the applicant as an intermediary. In such cases, the letters will not be viewable by the applicant.

Evaluation and selection will consider the following aspects: Technical quality, including relevance to computational intelligence, significance, and innovation Feasibility, including budget reasonableness Benefits to the CIS and beyond Qualifications and past performance of the applicant, including reference checks At the end of the Sponsored Project 1.

The primary research supervisor for the grant must provide a certification to the Graduate Student Research Grants 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 primary research supervisor, the student will receive the funds awarded.

3. The expectation is that the completed research will be presented at an IEEE conference. 4.

The final technical report in the format of a major CIS conference publication is due on December 1 of the award year, and should be emailed to the Graduate Student Research Grants Sub-Committee Chair. Deadline for submission of applications: March 30, 2026 (Now Closed) Notification for accepted proposals: May 11, 2026 The project work must be completed, and the funds must be spent by November 30, 2026.

2026 Graduate Student Research Grants Committee Graduate Student Research Grants Committee Chair School of Computing, Mathematics and Digital Technology Manchester Metropolitan University https://www. mmu. ac.

uk/staff/profile/dr-annabel-latham Manchester Metropolitan University University of Southern Denmark, Odense National Yang Ming Chiao Tung University Grant Recipients and Final Abstracts Allegra Cuzzocrea for the project " EVOQT: EVOlutionary reinforcement learning for Quantum circuit Transpilation " Tianyu Xiang for the project “ Brain-inspired Computational Intelligence Algorithm for Human Learning Modeling ” Chenyang Li for the project “ Generative Model-Driven Evolutionary Search for Large-Scale Dynamic Multi-Objective Optimization Problems ” Wenxing Lan for the project “ Assess Vehicle Trajectory Prediction Models via Procedural Content Generation ” Runyu Lu for the project “ Multi-Agent Reinforcement Learning for Cross-Graph Policy Generalization in Pursuit-Evasion Games ” Mohammad Arafath Uddin Shariff for the project “ Advancing AI for Educational Infrastructure: Robust Traffic Prediction and Benchmarking for Research and Education Networks ” Hana Lebeta Goshu for the project “ 3DGS-FuNSTEM: 3D Gaussian Splatting and Fuzzy-Neural Systems for Adaptive STEM Learning ” Ruimin Peng for the project “ Resource-Efficient Neural Network Design for Seizure Detection on Implantable Brain-Computer Interfaces (BCIs) Devices ” Steven Golob for the project “ Strengthening Defenses in GAN-based Biomedical Synthetic Data ” Ignacio Bugueno-Cordova for the project “ Enhancing Autonomous Interaction of Social Robots in Educational Environments through Reinforcement Learning ” Shyam Chand G for the project “ Advancing AI for Education and Food Security: Hyperspectral Imaging for Postharvest Quality Assessment and Contaminant Detection ” 2024 Grant Recipients and Final Abstracts Luca Colombo for the project " Toward Binary-native and Gradient-free Learning of Binary Graph Neural Networks " Asier Urio-Larrea for the project " Federated Learning using Fuzzy Logic " Dingkun Liu for the project " Cross-Headset EEG Classification with Spatial Distillation and Distribution Alignment " Iosu Rodriguez-Martinez for the project "Reinforcement Learning Safeguarding through a Fuzzy-Rule Based Supervisor" S.

Sai Thejeshwar for the project " A Neuromorphic State Machine Architecture for Robotic Arm Control Using Dynamic Field Theory " Ziming Wang for the project " Towards Trustworthy Machine Learning – Building Fair and Explainable Models based on Multi-Objective Evolutionary Learning " Xinping Xu for the project " Synaptic Plasticity Based Continual Learning " Xinyao Yang for the project " Class Incremental Learning in Brain Computer Interfaces " Tuo Zhang for the project " Improved Decomposition-based Multi-objective Genetic Programming for Feature Learning in Data-Efficient Image Classification 2023 Grant Recipients and Final Report Abstracts Jianjun Chai for the project “ Stable and Efficient Communication for Large-Scale Multi-Agent Reinforcement Learning ” Angela Chiatto for the project “ EVOlutionary algorithms toolbox for VAriational Quantum circuits (EVOVAQ) ” Meijiang Gui for the project “ Fusing Prior Analytical Knowledge into Neural Network for Tactile Information Representation ” Chengpeng Hu for the project “ Distilling Evolutionary Reinforcement Learning via Cooperative Co-evolution ” Zeqiong Lv for the project “ Theoretical Analysis of Evolutionary Neural Architecture Search Algorithms ” Xinming Shi for the project “ Evolving Analog Circuits Using Interpretable Genetic Programming with Semantic Diversity ” 2022 Grant Recipients and Final Reports Xinru Chen for the project " EEG-Based Epileptic Seizure Detection Using Transfer Learning and Semi-Supervised Learning " Xiaoqing Chen for the project " Adversarial Artifacts Detection in EEG-Based Brain Computer Interface " Angie Boggust for the project " Interpreting Uncertainty " Jessica Bo for the project " Bridging the Clinical Implementation Gap of Deep Learning Models through Stylized Data Augmentation " Hao Tong for the project " Data-driven Meta-heuristics for Dynamic Capacitated Arc Route Problem " 2021 Grant Recipients and Final Reports Aboutaib Brahim for the project " Rigorous Analysis of Parallel Evolutionary Algorithms " Yongwei Zhang for the project " Adaptive dynamic programming for distributed consensus control of nonlinear multi-agent systems " Najwa Kouka for the project " EEG Channel Selection-based Binary Particle Swarm Optimization with Recurrent Convolutional Autoencoder for Emotion Recognition " Ziwei Wang for the project " EEG-Based Children Epilepsy Prediction Using Transfer Learning " Roberto Schiattarella for the project " Quantum FUzzy inference for high energy Physics Applications (QUFUPA) " 2020 Grant Recipients and Final Reports Mengliang Zhu for the project " EEG-Based Driver Drowsiness Estimation Using Deep Network Adaptation for Regression-Based on Domain Generalization " Cristiana Pacheco for the project " Game Design for Player Believability Assessment Proposal " Zhentao Tang for the project "Safe multi-agent deep reinforcement learning from simulation to real-world application" Chao Pan for the project " Neural Architecture Search Based on Evolutionary Algorithm " Ines Abdennaji for the project " Novel Consensus Method based on Discrete Fuzzy Numbers " 2019 Grant Recipients and Final Reports Xue Jiang for the project " Active Learning and Deep Learning for Adversarial Attacks in EEG-Based Brain-Computer Interfaces " Xiaohu Zhou for the project " A Neural-Network-Based Multilayer Learning Framework for Cardiovascular Robots " Chandan Kumar Behera for the project " Brain circuits and emotional learning " Jinli Yao for the project " An Area-based Similarity Measure for Interval Type-2 Fuzzy Set and Its Application to Multi-attribute Decision Making " Artur Luis Fernandes de Souza for the project " Automated Adaptation of Deep Learning Topologies Applied to Serial Crystallography " 2018 Grant Recipients and Final Reports Shaily Kabir, "Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions" Jes´us Guillermo Falc´on-Cardona, "On the Combination of Quality Indicators for Multi-Objective Optimization" Yaran Chen, "A temporal-based deep learning method for multiple objects detection in autonomous driving" Guoji Fu, "Learning Topological Representation for Networks via Hierarchical Sampling" Wenjing Hong, "Large-Scale Multi-Objective Evolutionary Optimization" 2017 Grant Recipients and Final Reports Chandranath Adak, "Adaptive Metaheuristic Deep Learning for Study towards Human Cognition using Complex Handwriting Pattern" Qichao Zhang, "Event-triggered integral reinforcement learning for nonlinear continuous-time systems" Subhashis Banerjee, "Brain Tumor Detection and Classification from Multi-Channel MRIs using Deep Learning and Transfer Learning" Saeid Samadidana, "A Distributed Approach to Design Satellite Tracking System" Soham Mandal, "Theoretical Analysis of Convergence and Associated Issues in Generative Adversarial Network (GAN) Using Evolutionary Algorithm" 2016 Grant Recipients and Final Reports Rong Xiao, "Spiking Neural Networks for Object Recognition by Exploiting Precise Timing Neural Information Encoding" Kalyan Shankar Bhattacharjee, "Adaptive Reference Direction Control for Decomposition Based Evolutionary Algorithms" Vikram Shenoy Handiru, "Supervised learning approach for cortical source space feature extraction and causal inference of cortical networks for applications in stroke rehabilitation" Mohamed El Yafrani, "A Study of Multi-objectiveness in the Travelling Thief Problem" 2015 Grant Recipients and Final Reports Hongwen Ma, "Distributed control of second-order nonlinear time-delayed multiagent systems with disturbance using neural networks" Yuanheng Zhu, "Solving Nonlinear Zero-Sum Game with Completely Unknown Dynamics via Iterative Adaptive Dynamic Programming" Peng Yang, "Robust Optimization with Multiple Solutions" Ehsan Hosseini-Asl, "Part-based Feature Extraction in Deep Learning Models" (report to be posted soon) Abhijit Das, A Semi-supervised Pipelined Deep Learner for an Adaptive and Efficient Biometric System" 2013 Grant Recipients and Final Reports Hongliang Li, Chinese Academy of Sciences, "Adaptive Dynamic Programming for Two-Player Zero-Sum Differential Games with Completely Unknown Systems" Kanishka Tyagi, Seoul National University, "Applications of Deep Learning Network on Audio and Music Problems" Xiaofen Lu, University of Science and Technology of China, Hefei, Anhui, China " Evolutionary Optimization with Hierarchical Surrogates " 2012 Grant Recipients and Final Reports Dawei He, Georgia Institute of Technology, USA: Short-Term Wind Power Forecasting Based on a New Feature Selection Technology and Support Vector Machine Rui Jorge Almeida, Erasmus University Rotterdam, The Netherlands: Linguistic Summaries of Intensive Care Unit Septic Shock Patients David Zhou, Carnegie Mellon University, "Computing a percolation model of information transmission for modeling general anesthesia" 2011 Grant Recipients and Final Reports Minlong Li, University of Science and Technology, China: Selective Further Learning for Class Imbalanced Incremental Learning Mostafa M.

Ellabaan, Nanyang Technological University,Singapore: A Computational Intelligence Methodology for Unique, Low-Energy Glutamic Acid Isomers Discovery Rafael Falcon, University of Ottawa, Canada: Music-Aware Artificial Fireflies to Sensor Relocation by a Robot Team 2010 Grant Recipients and Final Reports Yifeng Li, University of Windsor, Canada: Non-Negative Matrix and Tensor Factorization Methods for Microarray Data Analysis Bipul Luitel, Missouri University of Science & Technology, USA: Real-Time Implementation of Cellular Neural Networks for Smart Grid Applications Zai Wang, University of Science and Technology of China, China: An Efficient Particle Swarm Optimizer for Multi-level Redundancy Allocation Problem 2009 Grant Recipients and Final Reports Yi Mei, University of Science and Technology, China: Decomposition-Based Memetic Algorithm for Multi-Objective Capacitated Arc Routing Problem.

Joshua Payne, Dartmouth Medical School, USA: Toward computational evolution: Incorporating ecological interactions and conditional dispersal into biologically-inspired algorithms. ThanhVu Nguyen, University of New Mexico, USA: A closed-loop repair of software bugs. Pinaki Mitra, Missouri University of Science and Technology, USA: Adaptive Critics with Spiking Neural Networks for Applications in Smart Power Grids.

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 assisted 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 Graduate Student Research Grants Welcome from the Vice President for Education Graduate Student Research Grants Congratulations 2025 CIS Students High School Outreach Subcommittee Education Repository Subcommittee Education Portal Subcommittee Content Creation Subcommittee Education Competition Subcommittee Industrial & Governmental Activities