Artificial Intelligence Applications for Brain-Computer Interfaces

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. Dr. Qaisar currently holds the position of Research & Innovation Department Head for the South-East Region at CESI LINEACT, located in France. In recognition of his teaching and learning excellence, he was honored with the Queen Effat Award in May 2016. Dr. Qaisar's accomplishments encompass two granted patents, as well as an extensive portfolio of published works spanning journal articles, book chapters, and conference papers. Furthermore, Dr. Qaisar contributes to the academic community as an editor for various international journals and is actively involved in the technical and review committees of several international journals and conferences. His current areas of research focus include signal processing, circuits and systems, artificial intelligence, event-driven systems, biomedical and bioinformatics applications, smart grid technology, energy storage, and sampling theory. Dr. Akash Kumar Bhoi accomplished academic and researcher with over a decade of experience in Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, and Biomedical Computing. Recognized globally for research excellence, ranked in the Top 0.5% of Scholars worldwide (ScholarGPS, 2024 & 2025) and listed among the World’s Top 2% Scientists (Stanford University & Elsevier, 2022, 2023 & 2025). Prolific contributor with 200+ Scopus-indexed publications, multiple edited books with Springer/Elsevier, and an h-index of 39 (Google Scholar). Dr. Bhoi is currently associated with Graphic Era Deemed to be University, Dehradun. More than a decade of academic & research experience in India, Italy, Australia, and South Korea. Expertise spans computational intelligence, data analytics, healthcare informatics, biomedical signal and image processing, cloud/edge computing, and IoT applications.Parvathaneni Naga Srinivasu has earned his Ph.D. degree at GITAM (Deemed to be University) and his areas of research include Biomedical Imaging, Image Enhancement, Image Segmentation, Object Recognition, Image Encryption, Optimization Algorithms, Soft computing, and Natural Language Processing. He is working as an Assistant Professor at the Department of Computer Science and Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam. He is a member of CSI, IAENG, IARA and a regular reviewer for Scopus indexed journals like JCS and IJAIP, Inderscience. He is a guest editor for the special issues and books that are published by reputed publishers like Bentham Science, Springer, and Elsevier. He is a passionate researcher and his articles have been published in national and international journals alongside conferences.

• 1. Introduction to brain-computer interface: research trends and applicationsSAEED MIAN QAISAR AND ABDULHAMIT SUBASI2. Preprocessing and feature extraction techniques for brain-computer interfaceABDULHAMIT SUBASI AND SAEED MIAN QAISAR3. Emotional state monitoring and applications with brain-computer interfacesEVIN SAHIN SADIK4. Hand kinematics and decoding hindlimb kinematics using local field potentials using a deep neural network decoding frameworkJIGAR SARDA, MILIND SHAH, ROHAN VAGHELA, DARSH VAISHNANI AND HIRVA PATEL5. Closed-loop brain_computer interfaces for musculoskeletal impulse predictionK. RANJINI, POOJA GOUD, AMBESHWAR KUMAR AND R. MANIKANDAN6. Classification of motor imagery tasks in brain-computer interface using ensemble learningABDULHAMIT SUBASI AND SAEED MIAN QAISAR7. The application of brain_computer interface in Alzheimer’s disease studies based on machine learning algorithmsHELIA GIVIAN8. Brain_computer interfaces and deep learning methods for cognitive impairmentsSEDA SASMAZ KARACAN9. Prospects and challenges in decoding consumer behavior using neurotechnologyTARA CHAND, VASUNDHARAA S. NAIR, PARVATHANENI NAGA SRINIVASU AND VINOD JANGIR KUMAR10. Electroencephalography-based emotion recognition with empirical mode decomposition and ensemble machine learning methodsABDULHAMIT SUBASI, MUHAMMED ENES SUBASI AND SAEED MIAN QAISAR11. Brain-computer interfaces for security and authenticationMOUMITA CHANDA, OLIVE MAZUMDER, SOUVIK PAUL AND TAWFIKUR RAHMAN12. A case study on artifical intelligence based data processing in passive brain-computer interfacePARVEEN KUMAR SEKHARAMANTRY, USAMA A. SYED, UMER FAROOQ AND DINH DUNG VAN13. Analyzing eyewitness recognition accuracy using event-related potential and eye-tracking analysis: an experimental investigationSAMIKSHA DAS, DERICK H. LINDQUIST, TARA CHAND AND MOHITA JUNNARKAR14. Ambient assisted living through passive brain-computer interface technology for assisting paralyzed peopleSANCHITA GOSWAMI, PRITHU BANIK, ANIKET KUMAR MEENA AND ANJANEYULU BENDI15. Challenges and future directions in brain-computer interface research for exoskeletons usageHEMANTH P.K. SUDHANI, PRABHAKAR VATTIKUTI AND DASARI REKHA