Nitin Ahire
December 17, 2024 2025-01-13 5:17Nitin Ahire
Dr. Nitin Ahire
Ph.D. Programme in Electronics, Specialising in Machine Learning
Ph.D. Admission Year: 2019-20
Guide: Dr. R. N. Awale
Contact
Biography
Nitin Ahire is a Research Scholar at VJTI (Veermata Jijabai Technological Institute), Mumbai. Additionally, he holds the position of Head of the Department (HoD) of the Electronics and Telecommunication Department at Xavier Institute of Engineering, Mumbai,
Academic Information (Degrees/Education)
Bachelor's degree in Electronics Engineering (BE in Electronics)
Master's degree in Digital Electronics (ME in Digital Electronics)
Area of Research
Machine learning, Embedded system
Research Interests
EEG Signal Analysis for the Identification of Learning Disabilities with an Emphasis on ADHD Detection
Research Grant
Minor Research Grant of Rs. 30000/- procured from University of Mumbai for research project on 'Enhancing 3D Printing Shape Accuracy for Complex Shaped Objects', for duration of one year in the academic year 2019.
Minor Research Grant of Rs. 26500/- procured from University of Mumbai for research project on 'IoT based automated hydroponics system', for duration of one year in the academic year 2018.
Professional Affiliation
HoD of the Electronics and Telecommunication Department, Xavier Institute of Engineering, Mumbai
Professional Experience
25 Years
Publications
- Ahire N, Awale RN, Wagh A. Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning. Ro J Pediatr. 2023;72(2):57-66. https://doi:10.37897/RJP.2023.2.1
- Ahire, N., Awale, R. N., & Wagh, A. (2024, January 1). Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset. Applied Neuropsychology. Child (Print). https://doi.org/10.1080/21622965.2023.2300078
- Ahire, N., Awale, R. N., & Wagh, A. (2023, August 30). Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning. Applied Neuropsychology. Adult (Print). https://doi.org/10.1080/23279095.2023.2247702
- Ahire, N., Awale, R. N., & Wagh, A. (2023, November 2). Attention module-based fused deep cnn for learning disabilities identification using EEG signal. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17277-7
- Ahire, N., Awale, R. N., & Wagh, A. (2023, January 1). Learning disability identification with EEG signal analysis using machine learning approach. AIP Conference Proceedings. https://doi.org/10.1063/5.0175631
- Ahire, N., Awale, R. N., & Wagh, A. (2023, November 28). Development of EEG-Based Identification of Learning Disability Using Machine Learning Algorithms. CRC Press eBooks. https://doi.org/10.1201/9781003359951-11
