Dr Rajesh Kumar Jha
Associate Professor
| Department of Electronics and Communication Engineering
ICFAI Foundation for Higher Education, Hyderabad
Telangana
Expertise:
Electrical and Electronic Engineering
48
Publications
1
Projects
378
Scopus Citations
327
CrossRef
10 Years 7 Months Total Experience
Scopus
378
Citations
12
h-index
CrossRef
327
Citations
11
h-index
Google Scholar
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Professional Recognition
NPDF
2020
SERB
Merit First rank in M.Tech
2020
IIIT allahabad
Institute Postdoctoral Fellow-IIT Delhi
2022
IIT Delhi
M.Tech MHRD fellowship
2015
MHRD
MHRD PhD Fellowship
2017
MHRD
Community & Membership
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IAEEEE
SeniorIAENG
RegularPersonal Details
Doctor of Philosophy
2020
Indian Institute of Management Ahmedabad
Master of Technology
2017
Indian Institute of Management Ahmedabad
Bachelor of Engineering
2013
Homi Bhabha National Institute, Mumbai
Associate Professor
Jul 2024 – Present
ICFAI Foundation for Higher Education, Hyderabad
| Department of Electronics and Communication Engineering
Post-Doctoral Fellow
Jul 2022 – Jul 2024
Indian Institute of Technology, Delhi
Assistant Professor
Oct 2020 – Jul 2022
ICFAI Foundation for Higher Education, Hyderabad
Teaching Assistant
Jul 2015 – Feb 2020
Indian Institute of Information Technology, Allahabad
| Department of Electronics and Communication Engineering
Engineering and Technology
Scholarly Work
Investigation of Negative Capacitance and Memory Parameters in 2D Van Der Waals heterostructure based Ferroelectric Materials, for Next Generation logic in memory field effect transistors
CompletedBrain Tissue Segmentation and Analysis of Structural Connectivity using Deep Learning Techniques
Design and Implementation of Enhanced Long Range Data Transmission System for Dense IoT networks with Deep learning techniques
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Scholarly Publications
Preparation and characterization of Al2O3 film deposited by RF sputtering and plasma enhanced atomic layer deposition
On the structural and electrical properties of metal-ferroelectric-high k dielectric-silicon structure for non-volatile memory applications
Memory improvement with high-k buffer layer in metal/ SrBi2Nb2O9/Al2O3/silicon gate stack for non-volatile memory applications
LoRa DL: a deep learning model for enhancing the data transmission over LoRa using autoencoder
Correction to: Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches (Acta Neurologica Belgica, (2023), 10.1007/s13760-023-02170-9)
Open Access
10.1007/s13760-023-02301-2
Crossref: 1
Segmentation of White Matter Lesions in MRI Images Using Optimization-Based Deep Neural Network
Spreading Factor Optimization for Interference Mitigation in Dense Indoor LoRa Networks
Stability and degradation mechanisms of perovskite solar cells: Physics, kinetics, and mitigation strategies toward commercialization
Open Access
Showing 1 to 8 of 48 publications