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Amita Giri

Amita Giri

Assistant Professor

My Website

  • Biomedical signal processing
  • Brain source imaging or mapping 
  • Computational neuroscience
  • Brain computer interface (BCI)
  • Meditation and Sleep Study

From To Designation Organisation
June 2022 May 2024 Postdoctoral Associate Massachusetts Institute of Technology (MIT), USA
Award Institute Year Awarded
Outstanding Trainee Speaker Award MEG North America Workshop organised at National Institute of Health (NIH), Bethesda, Maryland, USA. 2023
PMRF Academic Excellence Award Ministry of Education, Government of India 2022
Best Paper Award International Conference on Advanced Computation and Computer Technologies – ICACCT-2021 2021
Prime Minister’s Research Fellowship Ministry of Education, Government of India 2018-2022
MHRD Fellowship Ministry of Education, Government of India 2017-2018
Distinguished Alumni Award National Institute of Technology (NIT), Uttarakhand 2017
State Government Academic Excellence Award Uttarakahnd State Government 2013-2017
L’Oréal India For Young Women in Science (FYWIS) Winner L’Oréal India 2013
Mathematics Olympiad (2nd State Rank) Mathematics Olympiad 2011
Degree Subject University Year Studied
Ph.D. Electrical Engineering Indian Institute of Technology Delhi 2017 - 2022
B.Tech Electronics and Communication Engineering National Institute of Technology (NIT) Uttarakhand 2013 - 2017

International Journals

[J7]. A. Giri, J. C. Mosher, A. Adler and D. Pantazis,"An F-ratio-based method for estimating the number of active sources in MEG " in Frontiers in Human Neuroscience , vol. 17, 2023.

[J6]. A. Giri, L. Kumar, N. Kurwale and T. Gandhi,"Anatomical Harmonics Basis based Brain Source Localization with Application to Epilepsy " in Scientific Reports, Nature , 12 (1), 2022, 11240.

[J5]. G. P. T. Choi, A. Giri and L. Kumar, "Adaptive area-preserving parameterization of open and closed anatomical surfaces " in Computers in Biology and Medicine , vol. 148, 2022, 105715.

[J4]. S. Pancholi, A. Giri, A. Jain, L. Kumar and S. Roy, "Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal " in IEEE Transactions on Cybernetics , vol. 53, no. 7, 2022, pp. 4094-4106.

[J3]. A. Giri, L. Kumar and T. Gandhi, "Cortical Source Domain Based Framework For Enhanced Brain Computer Interface Applications in IEEE Sensors Letters" , vol. 5, No. 12, 2021.

[J2]. A. Giri, L. Kumar and T. Gandhi, "Brain Source Localization in Head Harmonics Domain " in IEEE Transactions on Instrumentation and Measurement , vol. 70, pp. 1-10, 2020.

[J1]. A. Giri, G.P.T. Choi and L. Kumar, "Open and Closed Anatomical Surface Description via Hemispherical Area-Preserving Map" in Signal Processing , Elsevier, vol. 180, 107867, 2020.

International Conferences

[C4]. A. Giri, L. Kumar and T. Gandhi, "Robust EEG Source Localization Using Subspace Principal Vector Projection Technique" in 28th European Signal Processing Conference (EUSIPCO) , pp. 1075-1079, Amsterdam, Netherlands, IEEE, 2020.

[C3]. A. Giri, L. Kumar and T. Gandhi, "Head Harmonics based EEG Dipole Source Localization" in 53rd Asilomar Conference on Signals, Systems and Computers (ACSSC) , pp. 2149-2153, Pacific Grove, CA, USA, 2019, IEEE.

[C2]. A. Giri, L. Kumar and T. Gandhi, "EEG Dipole Source Localization in Hemispherical Harmonics Domain" in 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) , pp. 679-684, Honolulu, HI, USA, 2018, IEEE.

[C1]. S.K. Wupadrasta, A. Giri, L. Kumar and T. Gandhi, "Hemispherical Harmonics based Brain Source Localization" in 2018 Organization for Human Brain Mapping (OHBM), Singapore.