Pioneering AI Research.
Inspiring Minds.
I'm Nandan Tiwari, a Research Scholar and Data Science Trainer dedicated to advancing machine learning and empowering the next wave of tech talent.
A Dual Passion for Discovery and Education.
My work is a synergy of two core pursuits: pushing the boundaries of artificial intelligence through research, and demystifying its complexities through education. I specialize in building efficient, interpretable deep learning models, with a focus on NLP and Computer Vision.
I translate cutting-edge theory into practical, applicable skills. My goal is to create a learning environment that is not just informative, but truly transformative for aspiring data professionals.
0
Professionals & Students Trained
0
Academic/Corporate Workshops Delivered
0
Publications
My Research Focus
Efficient NLP
Developing scalable neural architectures for large language models to improve performance and accessibility.
Autonomous Systems
Using Deep learning to train intelligent agents in complex, dynamic environments for EEG cleaning and Analysis.
Generative Vision
Exploring Generative Adversarial Networks (GANs) for high-fidelity image synthesis and data augmentation using Brain Signal.
Recent Publications
A selection of my recent contributions to the field of data science and neural engineering.
BiGRU-TFA: An Attention-Enhanced Model for EEG Signal Reconstruction
Published in: IEEE Sensors Journal
Electroencephalogram (EEG) signals are often contaminated by artifacts from physiological and nonphysiological sources, complicating their analysis and interpretation. Traditional methods for artifact removal struggle with nonstationary noise and overlapping neural components...
EEG dataset for natural image recognition through visual stimuli
Published in: Data in Brief Journal
Electroencephalography (EEG) is a technique for measuring the brain's electrical activity in the form of action potentials with electrodes placed on the scalp. Because of its non-invasive nature and ease of use, the approach is becoming increasingly popular for investigations...
Brain Fingerprinting and Machine Learning: A Futuristic Approach to Forensic Science
Presented at:2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN)
Brain fingerprinting (BF) is a cutting-edge approach in forensic science that analyzes the brain wave response that determines personal involvement in an event. This paper explores the use of brain waves generated using electroencephalogram (EEG) devices and its contribution to diverse real world applications....
Empowering Through Training.
I offer comprehensive programs to equip individuals and teams with the skills needed to excel in the data-driven economy.
Training in Action
Glimpses from corporate workshops, university lectures, and collaborative sessions.
Trusted By Leading Organizations
I've had the privilege of providing training for teams at companies including:
Professional Journey
Research Scholar
Birla Institute of Technology | Full Time | 2023 - Present
Project: Visually Evoked EEG Classification and Percieved Image Regeneration using Deep Learning Technique for Brain Fingerprinting.
Sponsored By: ANRF (SUPRA) Government of India.
Conducting PhD research on efficient deep learning models. Published multiple papers and presented at international conferences.
Member of the Board of Advisors
Henry Harvin Education | Freelance | Sep 2023 - Sep 2025
A Member of the Board of Advisors in an H.H.E guiding syllabus and training improvements by ensuring curriculum relevance, industry alignment, and integration of emerging research trends.
Machine learning Trainer
Cetpa Infotech PVT. LTD | Full Time | Aug 2021 - Apr 2022
Conducted training sessions and workshops to upskill participants in ML concepts and applications. – Designed practical exercises and guided learners through end-to-end ML workflows.
Machine learning Trainee
Cetpa Infotech PVT. LTD | Full Time | Jan 2021 - Aug 2021
Hands-on experience in data preprocessing, model building, and evaluation. – Worked on applying ML algorithms to real-world datasets and improving accuracy.