IEEE CIS Graduate Student Research Grants
Grants to support graduate students for research visits during academic breaks, covering travel and living costs. Application deadline was March 30, 2026.
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Grants to support graduate students for research visits during academic breaks, covering travel and living costs. Application deadline was March 30, 2026.
Research paper on using deep learning and transfer learning for brain tumor detection and classification from MRI scans.
This PDF details a generalized approach for calculating the similarity of discontinuous intervals, addressing information loss and aliasing issues with existing methods.
Report detailing research on a closed-loop repair of software bugs, funded by the IEEE CIS Graduate Student Research Grant in 2009.
Research report on computational evolution, focusing on ecological interactions and conditional dispersal in biologically-inspired algorithms. Details methods, results, and discussion.
Technical report on adversarial attacks in EEG-based Brain-Computer Interfaces using active learning and deep learning. Focuses on black-box attacks and query synthesis.
Report detailing research on Binary Graph Neural Networks (BGNNs) by Luca Colombo, a recipient of the IEEE CIS Graduate Research Grant.
Report on interpreting neural network uncertainty using conceptual hierarchies to create an uncertainty fingerprint for better model analysis and understanding of decision-making.
This PDF details an area-based similarity measure for interval type-2 fuzzy sets and its application to service quality evaluation using a Computing With Words model.
This PDF details a computational model using percolation theory to simulate information transmission in neural networks, relevant to understanding general anesthesia.
Report detailing the application of deep learning networks on audio and music problems, specifically for music tag classification, audio scene classification, and bird audio classification.
This PDF details a new Network Representation Learning framework (HSRL) for capturing both local and global network topology using hierarchical sampling.
Research report on large-scale multi-objective evolutionary optimization, detailing challenges and proposing a new algorithm (DLS-MOEA) for improved performance.
Research report on the relationship between dorsal raphe nucleus neuronal population activity and cortical rhythms in mice, using electrocorticogram recordings and coherence analysis.
Research report on cross-headset EEG classification using Spatial Distillation and Distribution Alignment (SDDA) framework for brain-computer interfaces.
Research report on a semi-supervised domain adaptation approach (APE-cosine) for cross-patient epileptic seizure classification using EEG signals and deep learning.
This PDF details an event-triggered integral reinforcement learning algorithm for optimal control of nonlinear continuous-time systems with partially unknown dynamics.
Research report on a new memetic algorithm (D-MAENS) for the multi-objective capacitated arc routing problem, outperforming existing methods.
This PDF discusses combining quality indicators for multi-objective optimization, proposing a theoretical basis for new Pareto-compliant indicators.
This PDF report details Non-Negative Matrix and Tensor Factorization methods for analyzing gene-sample-time (GST) microarray data, focusing on classification and gene selection.
Report detailing a novel vision-based object detection method for autonomous driving using temporal information and deep learning, which won the 2017 IVFC competition.
Report detailing theoretical analysis of convergence in Generative Adversarial Networks (GANs) using evolutionary algorithms, submitted for the IEEE CIS Graduate Student Research Grant in 2017.
This PDF details a computational intelligence methodology for discovering glutamic acid isomers, proposing a novel molecular memetic algorithm (MOL-MA).
This PDF details research on distributed robust consensus control for nonlinear multi-agent systems using adaptive dynamic programming, supported by an IEEE CIS Graduate Student Research Grant.
Report detailing Tianyu Xiang's IEEE CIS Graduate Student Research Grant project on brain-inspired computational intelligence for human learning modeling.
Report detailing Ruimin Peng's IEEE CIS 2025 Graduate Student Research Grant project on resource-efficient neural network design for seizure detection on BCI devices.
The IEEE Computational Intelligence Society's strategic plan for 2023-2025 outlines priorities, goals, and objectives for advancing the society and its members.
Research report on trustworthy machine learning, focusing on explainability and fairness in AI models using multi-objective evolutionary learning.
The IEEE PSPB Operations Manual outlines the structure, mandate, and operational procedures for the Publication Services and Products Board and its committees.
Report detailing Chenyang Li's 2025 IEEE CIS Graduate Student Research Grant project on generative model-driven evolutionary search for optimization problems.
Report detailing Steven Golob's IEEE CIS 2025 Graduate Student Research Grant project on GAN-based biomedical synthetic data privacy.
Report detailing research on synaptic plasticity for continual learning in spiking neural networks, funded by an IEEE CIS Graduate Research Grant.
Abstract of a research project on evolutionary algorithms for variational quantum circuits, introducing a Python package for training these algorithms.
Report detailing research on Advancing AI for Educational Infrastructure by IEEE CIS Graduate Student Grant recipient Mohammad Arafath Uddin Shariff.
Report from Ignacio Bugueno-Cordova on their IEEE CIS 2025 Graduate Student Research Grant project about enhancing social robot interaction.
Report detailing Runyu Lu's IEEE CIS Graduate Student Research Grant project on Multi-Agent Reinforcement Learning for Cross-Graph Policy Generalization in Pursuit-Evasion Games.
Report detailing a neuromorphic state machine architecture for robotic arm control using Dynamic Field Theory, implemented on Intel's Loihi 2 chip.
Report detailing Hana Lebeta Goshu's IEEE CIS 2025 Graduate Student Research Grant project on 3D Gaussian Splatting and Fuzzy-Neural Systems for Adaptive STEM Learning.
Abstract of a research paper on Neighboring Variational Information Flow (NVIF) for multi-agent reinforcement learning, focusing on stable communication protocols.
Report detailing research on Federated Learning using Fuzzy Logic, authored by Asier Urio-Larrea, a recipient of the IEEE CIS Graduate Research Grant.
Report detailing Allegra Cuzzocrea's IEEE CIS 2025 Graduate Student Research Grant project on Quantum circuit Transpilation using evolutionary reinforcement learning.
Report detailing Shyam Chand G's IEEE CIS 2025 Graduate Student Research Grant project on AI for food security using hyperspectral imaging.
Report detailing Wenxing Lan's IEEE CIS Graduate Student Research Grant project on assessing vehicle trajectory prediction models using procedural content generation.
Research report detailing class incremental learning in Brain Computer Interfaces, funded by an IEEE CIS Graduate Research Grant. Includes experimental framework and algorithm validation.
Abstract of a research paper on Evolutionary Reinforcement Learning (ERL) and a proposed cooperative coevolutionary reinforcement learning (CoERL) algorithm.
Abstract of a research paper on soft magnetic sensors for tactile perception, detailing a neural network model that fuses prior analytical knowledge for precise tactile sensing.
Report detailing research on improved decomposition-based multi-objective genetic programming for feature learning in data-efficient image classification by Tuo Zhang, a recipient of the IEEE CIS Graduate Research Grant.
Plain-English summaries of meaningful source-page changes.