Development of an simplified modeling control system for maximization of polymerization in a pilot plant. - M. J. H. Khan; Muhammad Mahbubur Rashid; Md Meftahul Ferdaus (ASCC, 2015)

Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICACI, 2017)

Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2017)

Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Big Data Analytics based on PANFIS MapReduce. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Md Meftahul Ferdaus; Qing Cai; Mukesh Prasad (INNS Conference on Big Data, 2018)

A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew Garratt (SMC, 2018)

A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (SSCI, 2018)

RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. - Md Meftahul Ferdaus; Mohamad Abdul Hady; Mahardhika Pratama; Harikumar Kandath 001; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation. - Md Meftahul Ferdaus (ICDM Workshops, 2019)

Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Md Meftahul Ferdaus (SSCI, 2019)

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2019)

Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (Appl. Soft Comput., 2019)

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (J. Artif. Intell. Soft Comput. Res., 2019)

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Fuzzy Syst., 2019)

Development of advanced autonomous learning algorithms for nonlinear system identification and control. - Md Meftahul Ferdaus (2019)

Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (Artif. Intell. Rev., 2020)

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (Inf. Sci., 2020)

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Yongping Pan 001 (IEEE Trans. Fuzzy Syst., 2020)

Does Adversarial Oversampling Help us? - Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (CIKM, 2021)

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. - Deeksha Aggarwal; J. Senthilnath 001; Uttam Kumar 001; Vivek Yadav; Sushant Kulkarni; Md Meftahul Ferdaus; Xiaoli Li 001 (ICDM (Workshops), 2021)

Data Oversampling with Structure Preserving Variational Learning. - Indu Solomon; Senthilnath Jayavelu; Md Meftahul Ferdaus; Uttam Kumar 001 (CIKM, 2022)

Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. - Harshita Boonlia; Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Ankan Mullick (ICIP, 2022)

Latent Preserving Generative Adversarial Network for Imbalance Classification. - Tanmoy Dam; Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (ICIP, 2022)

Scalable Adversarial Online Continual Learning. - Tanmoy Dam; Mahardhika Pratama; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Hussein A. Abbass (ECML/PKDD (3), 2022)

Significance of activation functions in developing an online classifier for semiconductor defect detection. - Md Meftahul Ferdaus; Bangjian Zhou; Ji Wei Yoon; Kain Lu Low; Jieming Pan; Joydeep Ghosh; Min Wu 008; Xiaoli Li 001; Aaron Voon-Yew Thean; J. Senthilnath 001 (Knowl. Based Syst., 2022)

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches. - Md Meftahul Ferdaus; Forhad Zaman; Ripon K. Chakrabortty (IEEE Trans. Cybern., 2022)

Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online. - Md Meftahul Ferdaus; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation. - Rasha Alshawi; Md. Tamjidul Hoque; Md Meftahul Ferdaus; Mahdi Abdelguerfi; Kendall N. Niles; Ken Prathak; Joe Tom; Jordan Klein; Murtada Mousa; Johny Javier Lopez (CoRR, 2023)

WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (IEEE Geosci. Remote. Sens. Lett., 2023)

PASE: An autonomous sequential framework for the state estimation of dynamical systems. - Harikumar Kandath 001; Md Meftahul Ferdaus; Zhen Wei Ng; Bangjian Zhou; Suresh Sundaram 002; Xiaoli Li 001; Senthilnath Jayavelu (Expert Syst. Appl., 2023)

KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements. - Md Meftahul Ferdaus; Mahdi Abdelguerfi; Elias Ioup; David Dobson; Kendall N. Niles; Ken Pathak; Steven Sloan (AIMLSystems, 2024)

Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Jiefei Wang; Phi Vu Tran; Md Meftahul Ferdaus (ECC, 2024)

HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification. - Gao Yu Lee; Tanmoy Dam; Daniel Puiu Poenar; Vu N. Duong; Md Meftahul Ferdaus (WACV, 2024)

A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control. - Md Meftahul Ferdaus; Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; J. Senthilnath 001 (Appl. Soft Comput., 2024)

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches. - Gao Yu Lee; Jinkuan Chen; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (CoRR, 2024)

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models. - Md Meftahul Ferdaus; Mahdi Abdelguerfi; Elias Ioup; Kendall N. Niles; Ken Pathak; Steven Sloan (CoRR, 2024)

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes. - Rasha Alshawi; Md Meftahul Ferdaus; Md. Tamjidul Hoque; Kendall N. Niles; Ken Pathak; Steven Sloan; Mahdi Abdelguerfi (CoRR, 2024)

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network. - Rasha Alshawi; Md Meftahul Ferdaus; Mahdi Abdelguerfi; Kendall N. Niles; Ken Pathak; Steven Sloan (CoRR, 2024)

DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (CoRR, 2024)

GATE: A guided approach for time series ensemble forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Md Meftahul Ferdaus; Murat Tahtali; Savitha Ramasamy; Mahardhika Pratama (Expert Syst. Appl., 2024)

Unlocking the capabilities of explainable few-shot learning in remote sensing. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (Artif. Intell. Rev., 2024)

X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams. - Md Meftahul Ferdaus; Tanmoy Dam; Sameer Alam; Duc-Thinh Pham (IEEE Trans. Artif. Intell., 2024)

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes. - Rasha Alshawi; Md Meftahul Ferdaus; Md. Tamjidul Hoque; Kendall N. Niles; Ken Pathak; Steven Sloan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks. - Christina Thrainer; Md Meftahul Ferdaus; Mahdi Abdelguerfi; Christian Guetl; Steven Sloan; Kendall N. Niles; Ken Pathak (CoRR, 2025)

Few-Shot Learning in Video and 3D Object Detection: A Survey. - Md Meftahul Ferdaus; Kendall N. Niles; Joe Tom; Mahdi Abdelguerfi; Elias Ioup (CoRR, 2025)

Foundation Models for Clean Energy Forecasting: A Comprehensive Review. - Md Meftahul Ferdaus; Tanmoy Dam; Md. Rasel Sarkar; Moslem Uddin; Sreenatha G. Anavatti (CoRR, 2025)

KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning. - Md Meftahul Ferdaus; Mahdi Abdelguerfi; Elias Ioup; Steven Sloan; Kendall N. Niles; Ken Pathak (CoRR, 2025)

ASPEN-WIND: Adaptive spectral and self-supervised interactive CNN-LSTM for enhanced wind power forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Md Meftahul Ferdaus; Tanmoy Dam (Expert Syst. Appl., 2026)