0000-0002-2573-7098 About
Dr. Harilal holds Ph.D. in Computational Neuroscience from Amrita University, where he studied neuronal excitability in granular layer ensembles of the cerebellum by modeling local field potential (LFP). He worked as Project Associate at Neurophysiology and Simulation Virtual Lab project, National Mission on Education through ICT, funded by Ministry for Human Resource Development, Govt. of India. His post-doctoral study was on “Quantification of epileptogenic network from Stereo EEG recordings using Epileptogenicity Ranking method”. Currently, he is an Assistant Professor and in-charge of the Brain Mapping research lab associated with Amrita Advanced Center for Epilepsy and the Department of Neurology.
Reviewer :
Frontiers in Human Neuroscience
Journal of Engineering in Medicine
Epilepsy & Behavior Reports
Biomedical and Pharmacology Journal (BPJ)
Master Thesis – Guided
2021, Arjun V, MCA – Localizing epileptogenic zone from spikes and high frequency oscillation’s using machine learning models in temporal lobe epilepsy.
2021, Irfana Noushad, M.Tech,- Studying autonomic dysfunction in epilepsy patients using stereo EEG and ECG.
2021, Nimisha K S, M.Sc. Neuro-electro-physio. – Localizing epileptogenic zone using spikes and High Frequency Oscillations.
2020, Abhilash Saj George &Arjun VijayanathaKurup, MCA – Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models
2020, Rohith Devisetty, Amsitha MB &Sasi Jyothirmai, B. Tech- Localizing epileptogenic network from SEEG using h2 non-linear correlation, mutual information and graph theory analysis.
Research Interest
Epileptogenic zone localization – Stereo EEG, HD-EEG & electrical source localization, SISCOM and Voxel Based Morphometry.
Modeling and simulation of neuronal dynamics
Artificial Intelligence in Medicine & Open source tool development
Employment
-
Amrita Institute of Medical Sciences Assistant Professor2019 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Personalized ECG-based artificial intelligence models for early seizure prediction Save
- Automated segmentation of postsurgical resection cavities on magnetic resonance imaging in focal epilepsy: A Multicentre Epilepsy Lesion Detection study Save
- Impact of Intranasal Administration of Ayurveda Medicine in Apparently Healthy Individuals on Neurophysiological Variables and Functional Connectivity Using Functional Magnetic Resonance Imaging: Protocol for an Exploratory Randomized Controlled Trial Save
- Temporal lobectomy in bilateral temporal lobe epilepsy: A relook at factors in selection, invasive evaluation and seizure outcome Save
- Impact of Intranasal Administration of Ayurveda Medicine in Apparently Healthy Individuals on Neurophysiological Variables and Functional Connectivity Using Functional Magnetic Resonance Imaging: Protocol for an Exploratory Randomized Controlled Trial (P… Save
- Improving the accuracy of epileptogenic zone localization in stereo EEG with machine learning algorithms Save
- Localizing epileptogenic network from SEEG using non-linear correlation, mutual information and graph theory analysis. Save
- Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A scoping systematic review. Save
- Quantification of Epileptogenic Network From Stereo EEG Recordings Using Epileptogenicity Ranking Method. Save
- Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials. Save