Assistant Professor
School of Computer Science and Artificial Engineering
Incheon National University, South Korea
9 years
Crossbar Resistive-RAM for neural network, 2D MOSFET and TFT, Neuromorphic Multimodal Sensor, Semiconductor and Nanotechnology Device Fabrication
Crossbar Resistive-RAM for neural network, and Neuromorphic Multimodal Sensor for IOT
Mail: ajitkumar@sru.edu.in
Ph.D in Electronics Engineering from Incheon National University - South Korea
M.Tech in Materials Science from IIT Bombay - Maharashtra
B.Tech in Electrical and Electronics Engineering from Maharshi Dayanand University - Haryana
Assistant Professor at Woxsen University - Sangareddy, from 2024-10-22 to 2025-06-18.
Post-doctoral Researcher at Incheon National University - South Korea, from 2023-09-01 to 2024-10-16.
Application Developer at IBM India Pvt Ltd - Gurugram, from 2013-12-16 to 2017-07-21.
PG
UG
Seung Gi Seo, Jinheon Jeong, Seung Yeob Kim, Ajit Kumar, Sung Hun Jin, “Reversible and controllable threshold voltage modulation for n-channel MoS2 and p-channel MoTe2 field-effect transistors via multiple counter doping with ODTS/poly-L-lysine charge enhancers”, https://doi.org/10.1007/s12274-021-3523-8, Nano Research, 14, 3214–3227 (2021), (I.F = 9.9, citations=14)
Neeraj Panwar, Pankaj Kumbhare, Ajit K Singh, N Venkataramani, Udayan Ganguly, “Effect of Morphological Change on Unipolar and Bipolar Switching Characteristics in Pr0.7Ca0.3MnO3 Based RRAM”, https://doi.org/10.1557/opl.2015.192, MRS Online Proceedings Library 1729, 47–52 (2014), (I.F = 1.9, citations=12)
Mokurala Krishnaiah, Ajit Kumar, Jun young Song, Sung Hun Jin, “Cu/(Co-Sn) ratio effects on physical and photodetection properties for visible light absorbing Cu2CoSnS4 nanoparticles via a one-pot hydrothermal process”, https://doi.org/10.1016/j.jallcom.2020.156174, Journal of Alloys and Compounds 847 (2020) 156174 (I.F = 6.371, citations=13)
Mokurala Krishnaiah, Md. Mohibul Islam Khan, Ajit Kumar, Sung Hun Jin “Impact of CsI concentration, relative humidity, and annealing temperature on lead-free Cs2SnI6 perovskites: Toward visible light photodetectors application”, https://doi.org/10.1016/j.matlet.2020.127675, Materials Letters 269 (2020) 127675 (I.F = 3.54, citations=19)
Mokurala Krishnaiah, Ajit Kumar, Ajay K. Kushwaha, Junyoung Song, Sung Hun Jin, “Thickness dependent photodetection properties of solution-processed CuI films: Towards cost-effective flexible visible photodetectors”, https://doi.org/10.1016/j.matlet.2021.130815, Materials Letters, 305 130815, (2021), (I.F = 3.574, citations=11)
Mokurala Krishnaiah, Ajit Kumar, Dhananjay Mishra, Ajay Kumar Kushwaha, Sung Hun Jin, Jong Tae Park “Solution-processed CuI films towards flexible visible-photodetectors: Role of annealing temperature on Cu/I ratio and photodetective properties”, https://doi.org/10.1016/j.jallcom.2021.161326, Journal of Alloys and Compounds, 887 161326, (2021), (I.F = 6.371, citations=23)
Mokurala Krishnaiah, Ajit Kumar, Dhananjay Mishra, Niraj Kumar, Junyoung Song, Sung Hun Jin “Process ambient effects on amorphous phase control of Sn-doped CuI films: Towards flexible transparent photodetector application” https://doi.org/10.1016/j.matlet.2023.134112, Materials Letters, 340, 134112, (2023), (I.F= 3.574, citations=4)
Mokurala Krishnaiah*, Ajit Kumar*, Dhananjay Mishra, Hyeon-Bin Jo, Geun Lee, and Sung Hun Jin* “Process Ambient Effects on Defect State Generation in CuI Films: Toward Multimodal Sensor Application via Patternable CuI Arrays” https://doi.org/10.1016/j.apsusc.2023.157251, Applied Surface Science, 626, 157251, (2023), (I.F=7.392, citations=5)
Mokurala Krishnaiah, Ajit Kumar, and Sung Hun Jin “Metal Work Function Effects on the Performance of UV-Visible-NIR Cs2SnI6 Photodetectors for Flexible Broadband Application”, https://doi.org/10.1002/pssr.202300107, Phys. Status Solidi RRL, 2300107 (2023), (I.F=3.277, citations=2)
Dhananjay Mishra, Krishnaiah Mokurala, Ajit Kumar, Seung Gi Seo, Hyeon Bin Jo, Sung Hun Jin, “Light-Mediated Multi-Level Flexible Copper Iodide Resistive Random Access Memory for Forming- Free, Ultra-Low Power Data Storage Application” https://doi.org/10.1002/adfm.202211022, Advanced Functional Materials, 2211022, (2022), (I.F= 19.924, citations=29)
Mokurala Krishnaiah, Seungyeob Kim, Ajit Kumar, Dhananjay Mishra, Seung Gi Seo, Sung Hun Jin, “Physically Detachable and Operationally Stable Cs2SnI6 Photodetector Arrays Integrated with ?-LEDs for Broadband Flexible Optical System” https://doi.org/10.1002/adma.202109673, Advanced Materials, 2109673, 2022, (I.F= 32.086, citations=44)
Bidyashakti Dash, Ajit Kumar, Han Min Kim, Seo Young Cho, Sung Hun Jin, “Physically Dissoluble Cesium Iodide-Based Resistive Switching Memory for Self-Vanishing Security Application”, https://doi.org/10.1021/acsami.5c00862, ACS Applied Materials & Interfaces, 2025 (I.F=8.5)
Ajit Kumar, M Krishnaiah, D Mishra, SH Jin, “Thickness dependent resistive switching behaviours in Ta2O5 layer at low temperature: Towards flexible, invisible, cryo-electronic applications in aerospace”, https://doi.org/10.1016/j.matlet.2022.132272, Materials Letters, 319, (2022) 132272. (I.F=3.574, citations=3)
Ajit Kumar, Mokurala Krishnaiah, D Mishra, H Jo, SH Jin, “Role of IGZO thickness for oxygen reservoir control in stacked IGZO/ZrOx layers: Towards reliable, uniform performance of flexible random-access memories” https://doi.org/10.1016/j.jallcom.2022.166199, Journal of Alloys and Compounds, 922, 166199 (impact factor (I.F)= 6.371, citations=15)
Ajit Kumar, Mokurala Krishnaiah, Jinwoo Park, Dhananjay Mishra, Bidyashakti Dash, Hyeon-Bin Jo, Geun Lee, Sangwook Youn, Hyungjin Kim, Sung Hun Jin. “Multibit, Lead-Free Cs2SnI6 Resistive Random Access Memory with Self-Compliance for Improved Accuracy in Binary Neural Network Application” https://doi.org/10.1002/adfm.202310780, Advanced Functional Materials, 2310780, (2023), (I.F= 19.924, citations=13)
The claimed portion of the design of the REAL TIME DATA VERIFICATION DEVICE consists of portable device seamlessly integrates with data collection sensors, such as cameras and microphones, via USB-C or wireless connections. Equipped with advanced machine learning algorithms and pre-trained models, the device autonomously analyzes incoming data to detect and flag errors, outliers, and inconsistencies as they occur. It features an autonomous labelling assistant that corrects detected errors and applies consistent labelling
