Ph.D. (VLSI DESIGN)
Dr. B R Ambedkar NIT Jalandhar, Jalandhar
Title: Modeling and Simulation of Memristor for Memory Cell Design
Awarded (November 25, 2019)
M.Tech (Microwave Electronics)
University of Delhi, New Delhi
Project: Design and Development of C Band RF Down-Converter
D.E.A.L. (DRDO) DEHRADUN
1st Div., 2012
Physical modeling, simulations, fabrications, electrical characterizations of semiconductor devices and their implementation in the designing of high speed, low power mixed-signal (digital/analog) circuits in the regime of submicron technology of CMOS.
Design and Image Encryption Implementation of High Performance and Resource-Efficient AES-128 Encryption Architecture Deepika Ben Thakor, Jeetendra Singh, Balwinder Raj Iciis 2025 Next Gen Engineering for Industry 5 0 Innovating Intelligent Systems for Human Centric Future Proceedings of 2025 IEEE 19th International Conference on Industrial and Information Systems, 2025 This paper presents an optimized hardware implementation of the Advanced Encryption Standard (AES-128) encryption algorithm, specifically designed to minimize resource consumption while achieving high throughput. Key optimizations include a fully parallel SubBytes operation utilizing 16 simultaneous S-boxes, runtime key derivation, and a loop-iterated architecture for round execution. This approach enhances processing speed while maintaining hardware efficiency. Functional correctness was rigorously verified using the NIST FIPS-197 standard test vectors, confirming reliable encryption and decryption for all specified cases. The implemented AES architecture achieves a throughput of 4.92 Gbps at 384.6 MHz on a Xilinx Artix-7 FPGA, encrypting 128-bit blocks in 11 clock cycles. Post-synthesis results demonstrate exceptional resource efficiency: utilization rates were 2.14% for Slice LUTs, 1.05% for registers, and 13.7% for BRAM. I/O utilization reached 96.25%, underscoring the design’s compact footprint. To demonstrate practical application, the design was adapted for image processing, successfully encrypting and decrypting a 128×128 pixel grayscale image. The encrypted output exhibited characteristic random noise, while the decrypted image perfectly reconstructed the original. These findings validate the design’s suitability for deploying AES-128 on FPGAs in secure, real-time embedded systems, IoT devices, and defense communication networks.
CWT based Fetal ECG signal analysis in terms of R-peaks detection Anirudh Chaturvedi, Niranjan Kumar, Varun Gupta, Vivek Kumar, Jeetendra Singh 3rd International Conference on Microwave Antenna and Communication Mac 2025, 2025 This paper presents a novel approach for fetal Electrocardiogram (FECG) signal analysis, focusing on accurate R-peak detection using the Continuous Wavelet Transform (CWT). The proposed method leverages the multi-resolution capabilities of CWT to process abdominal ECG signals, enabling precise time-frequency localization for isolating fetal R-peaks. Wavelet thresholding enhances signal clarity and reduces noise, ensuring robust performance in noisy conditions. The approach demonstrates consistent accuracy and F1-score of above 90%, showcasing its effectiveness in non-invasive prenatal monitoring. Despite its computational demands, the method significantly improves the reliability of fetal cardiac analysis, offering a valuable tool for diagnosing and monitoring fetal health.
Improvement in the sensing performance of SiGe pocket Si/Ge VTFET based biosensor using extended source electrode and nano-cavity length Jeetendra Singh, Shailendra Singh Materials Science and Engineering B, 2024 In this work, the sensing speed and sensitivity of the dielectric modulated biosensors has been enhanced by incorporating novel approach of source over electrode extension and nano cavity length extension in the SiGe p+ pocket doped Si/Ge vertical TFET , which is named Hetero-Junction Extended Source Electrode Vertical TFET (HJ-ESE-VTEFT). In this regard, the limit of material solubility is overcome by depositing extended electrode over the Ge source and the band gap modulation at the source channel interface is performed by formation of hetero junction due to P+ pocket of SiGe material. Band gap modulation causes band narrowing and results in high speed. On the application of negative bias on the extended source electrode attracts holes from the P+ Ge source and work as add-on in the band narrowing by enhancing the abruptness at the interface. The cavity length, which was initially under the gate electrode is further extended under the source electrode provide larger area to accommodate larger bio-molecules in the cavity through the electrostatic behavior of the device can be changed. In combination, p+ SiGe pocket, Ge Source, Extended source electrode, and extended cavity length give significant improvement in the sensing speed and sensing capabilities of the device. The electrostatic characteristics and then device sensitivity of the conventional VTFET and proposed device are compared to prove the effectiveness of the proposed device. There is an increment of two-order in drain current for the neutral bio-molecules and three-order increment in the charged bio-molecule having dielectric constant of k = 5 has been noticed in the results. The proposed device produces 5.5 times higher bio-molecule sensitivity as compared to the conventional V-TFET device for neutral bio-molecules having dielectric constant of k = 7 and at Vgs = 0.9 V. Moreover, the transit time using the HJ-ESE-VTEFT is 50 % lower as compared to the C-VTFET means the proposed device is 2 times higher sensing speed as compare to the C-VTFET.
Advancement of Neuromorphic Computing Systems with Memristors Jeetendra Singh, Shailendra Singh, Balwant Raj, Vikas Patel, Balwinder Raj Integrated Devices for Artificial Intelligence and VLSI, 2024 A computing device is deemed rudimentary if its operational scope is confined to elementary high-school-level mathematical tasks. Conversely, a mechanism that incorporates components of biotic origin, like as DNA units, as opposed to conventional electrical elements, closely mirrors the intricacies of the human brain. The instantiation of a computation system that operates neurons and synapses in parallel, exhibiting high capacity and low power consumption, constitutes a neuromorphic computing system (NCS). Neurons communicate through the transmission of both chemical and electrical signals. A neural network is established through minuscule junctions, termed "synapses," where each neuron is intricately linked to others, facilitating signal propagation. Neuromorphic systems seamlessly integrate computing systems and memories, thereby mitigating the separation between them and overcoming the challenges associated with the "memory wall." This chapter provides an exhaustive perspective on neuromorphic computing, commencing with an examination of recent challenges in achieving effective computing systems capable of supporting diverse novel applications. Subsequently, device-level perspectives are scrutinized to enhance the efficacy of neuromorphic solutions. The comprehensive applications of neuromorphic computing are delineated to maximize exposure for research groups and the scientific community engaged in this field.
Design and Performance Analysis of Negative Capacitance Effect in the Charge Plasma-Based Junction-Less Vertical TFET Structure Shailendra Singh, Jeetendra Singh Nano, 2023 In this paper, a negative capacitance (NC) effect in series with normal oxide capacitance is first time introduced to design negative capacitance charge plasma-based junction less vertical TFET structure (NC-CP-JL-VTFET). The introduced negative capacitance enhances the overall gate capacitance and hence gate capacitive coupling and thus renders high current capabilities with reduced sub-threshold slope and threshold voltage. With the use of negative capacitance along with oxide capacitance, it has been seen that the same drain current is achieved at lower gate voltage as compared to without use of negative capacitance and since the voltage scaling is done considerably, the dynamic power dissipation in circuit application can be reduced significantly. To generate the negative capacitance during the device operation; ferroelectric material [Formula: see text](VDF-TrFE) poly(vinylidene fluoride-trifluoro ethylene) is used in stack with SiO2 gate oxide. Various performance parameters of the designed structure such as electron–hole concentration in the tunneling junction, electric field, surface potential, electron–hole quasi-Fermi variation, and drain current variation are investigated and compared with the results of without considering the ferroelectric material in the gate oxide. The variation of the ferroelectric thickness on the device performance is also investigated. The investigation exhibits significant improvement in the drain current and in the other parameters as well. These improvements are seen because of higher capacitive coupling and these effects are further responsible for more energy band bending which in turn govern high electron tunneling. Due to the existence of negative capacitance, the peak value of the electric field gets doubled while the surface potential increases 44% from the normal structure.
Design and Image Encryption Implementation of High Performance and Resource-Efficient AES-128 Encryption Architecture DB Thakor, J Singh, B Raj 2025 IEEE 19th International Conference on Industrial and Information … , 2026 2026 Citations: 1
Radiations Effects on Advanced Multi-gate 3D Devices and Materials R Kumar, VB Sreenivasulu, J Singh, S Bala Transactions on Electrical and Electronic Materials 26 (5), 641-659 , 2025 2025 Citations: 1
434P: Clinicopathological characteristics and aggressive behavior of SMARCA4-deficient undifferentiated thoracic tumors mimicking NSCLC: Data from a tertiary cancer center in India N Patnaik, R Duggal, A Dua, J Singh, PS Mane, S Saxena, V Goel Journal of Thoracic Oncology 20 (3), S251 , 2025 2025
Improvement in the sensing performance of SiGe pocket Si/Ge VTFET based biosensor using extended source electrode and nano-cavity length J Singh, S Singh Materials Science and Engineering: B 310, 117688 , 2024 2024 Citations: 4
Advancement of Neuromorphic Computing Systems with Memristors J Singh, S Singh, B Raj, V Patel, B Raj Integrated Devices for Artificial Intelligence and VLSI, 193-215 , 2024 2024 Citations: 1
Design and estimation of GaAsSb/InGaAs hetero-junction double-dual gate vertical tunnel FET (HJ-VTFET) biosensor S Singh, J Singh Journal of Materials Science: Materials in Electronics 35 (2), 126 , 2024 2024 Citations: 6
Design and investigation of various memristor models for neuromorphic applications S Singh, R Dwivedi, J Singh, B Raj Nanoscale Memristor Device and Circuits Design, 21-38 , 2024 2024
Design and investigation S Singha, R Dwivedia, J Singh, B Raj Nanoscale Memristor Device and Circuits Design, 21 , 2023 2023
Highly sensitive N+ pocket doped vertical tunnel FET biosensor with wide range work function modulation gate electrodes G Wadhwa, J Singh, A Thakur, S Bhandari Materials Science and Engineering: B 297, 116730 , 2023 2023 Citations: 24
Design and Performance Analysis of Negative Capacitance Effect in the Charge Plasma-Based Junction-Less Vertical TFET Structure S Singh, J Singh Nano 18 (08), 2350060 , 2023 2023 Citations: 3
Integration of particle swarm optimization (PSO) and machine learning to improve classification accuracy during antenna design SK Singh, M Kumar, J Singh Transactions on Electrical and Electronic Materials 24 (3), 258-266 , 2023 2023 Citations: 6
Design and sensitivity estimation of linear graded work function gate electrode hetero junction vertical TFET biosensor J Singh, G Wadhwa, B Raj Microsystem Technologies 29 (2), 279-287 , 2023 2023 Citations: 17
Design and integration of vertical TFET and memristor for better realization of logical functions J Singh, S Singh, N Paras Silicon 15 (2), 783-792 , 2023 2023 Citations: 13
Advanced circuits and systems for healthcare and security applications B Raj, BB Gupta, J Singh CRC Press , 2022 2022 Citations: 2
Role of high-performance VLSI in the advancement of healthcare systems J Singh, B Raj, M Khan Advanced Circuits and Systems for Healthcare and Security Applications, 147-160 , 2022 2022 Citations: 3
Design and Analysis of Charge Plasma-Based SiGe Vertical TFET for Biosensing Applications S Singh, SK Bhalla, J Singh, S Gupta, B Raj, NK Yadav Advanced Circuits and Systems for Healthcare and Security Applications, 1-18 , 2022 2022
Shailendra Singh and Sanjeev Kumar Bhalla J Singh, S Gupta, B Raj Advanced Circuits and Systems for Healthcare and Security Applications, 1 , 2022 2022
Modeling and simulation analysis hetero junction doping less vertical TFET for biomedical application S Singh, J Singh, AK Singh, MK Shukla Silicon 14 (13), 8001-8008 , 2022 2022 Citations: 4
Design and investigation of SiGe heterojunction based charge plasma vertical TFET for biosensing application S Singh, AKS Chauhan, G Joshi, J Singh Silicon 14 (11), 6193-6204 , 2022 2022 Citations: 17
Investigation of N+ SiGe gate stacked V-TFET based on Dopingless charge plasma for gas sensing application S Singh, A Verma, J Singh, G Wadhwa Silicon 14 (11), 6205-6218 , 2022 2022 Citations: 22
MOST CITED SCHOLAR PUBLICATIONS
Design and investigation of 7T2M-NVSRAM with enhanced stability and temperature impact on store/restore energy J Singh, B Raj IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (6 … , 2019 2019 Citations: 195
Temperature dependent analytical modeling and simulations of nanoscale memristor J Singh, B Raj Engineering science and technology, an international journal 21 (5), 862-868 , 2018 2018 Citations: 167
An accurate and generic window function for nonlinear memristor models J Singh, B Raj Journal of Computational Electronics 18 (2), 640-647 , 2019 2019 Citations: 163
Comparative analysis of memristor models and memories design J Singh, B Raj Journal of Semiconductors 39 (7), 074006 , 2018 2018 Citations: 160
Modeling of mean barrier height levying various image forces of metal–insulator–metal structure to enhance the performance of conductive filament based memristor model J Singh, B Raj IEEE Transactions on Nanotechnology 17 (2), 268-275 , 2018 2018 Citations: 157
Tunnel current model of asymmetric MIM structure levying various image forces to analyze the characteristics of filamentary memristor J Singh, B Raj Applied Physics A 125 (3), 203 , 2019 2019 Citations: 132
Design and performance analysis of nano-scale memristor-based nonvolatile static random access memory J Singh, B Raj, M Khosla Sensor Letters 16 (10), 798-805 , 2018 2018 Citations: 127
Analysis of barrier layer thickness on performance of In1–x Ga x as based gate stack cylindrical gate nanowire MOSFET SK Sharma, J Singh, B Raj, M Khosla Journal of Nanoelectronics and Optoelectronics 13 (10), 1473-1477 , 2018 2018 Citations: 120
Design and investigation of junctionless DGTFET for biological molecule recognition G Wadhwa, P Kamboj, J Singh, B Raj Transactions on electrical and electronic materials 22 (3), 282-289 , 2021 2021 Citations: 116
Enhanced nonlinear memristor model encapsulating stochastic dopant drift J Singh, B Raj Journal of Nanoelectronics and Optoelectronics 14 (7), 958-963 , 2019 2019 Citations: 111
Design and investigation of doped triple metal double gate vertical TFET for performance enhancement G Wadhwa, J Singh, B Raj Silicon 13 (6), 1839-1849 , 2021 2021 Citations: 35
Influence of growing environment on growth, yield and chemical composition of strawberry (Fragaria× ananassa) fruits under open vs naturally ventilated polyhouse conditions S Pandey, J Singh, SK Singh, IB Mourya Indian Journal of Agriculture Science 85, 1540-1545 , 2015 2015 Citations: 33
Implementation of memristor towards better hardware/software security design J Singh Transactions on Electrical and Electronic Materials 22 (1), 10-22 , 2021 2021 Citations: 30
Population dynamics of Pink bollworm Pectinophora gossypiella (Saunders) in cotton crop SK Verma, DR Singh, J Singh, S Singh, N Yadav International Journal of Pure & Applied Bioscience 5 (2), 801-806 , 2017 2017 Citations: 25
Highly sensitive N+ pocket doped vertical tunnel FET biosensor with wide range work function modulation gate electrodes G Wadhwa, J Singh, A Thakur, S Bhandari Materials Science and Engineering: B 297, 116730 , 2023 2023 Citations: 24
Design and performance analysis of ultrathin nanowire FET ammonia gas sensor C Verma, J Singh, SK Tripathi, R Kumar Silicon 14 (11), 6321-6327 , 2022 2022 Citations: 23
Investigation of N+ SiGe gate stacked V-TFET based on Dopingless charge plasma for gas sensing application S Singh, A Verma, J Singh, G Wadhwa Silicon 14 (11), 6205-6218 , 2022 2022 Citations: 22
Implementation of linearly modulated work function A σ B 1−σ gate electrode and Si 0.55 Ge 0.45 N+ pocket doping for performance improvement in gate stack … G Wadhwa, J Singh Applied Physics A 126 (11), 877 , 2020 2020 Citations: 22
Investigation of inherent capacitive effects in linear memristor model J Singh, SK Sharma, B Raj Silicon 13 (10), 3423-3430 , 2021 2021 Citations: 21
Mamta Khosla analysis of barrier layer thickness on performance of In1-xGaxAs based gate stack cylindrical gate nanowire MOSFET J Singh, S Sharma, B Raj Journal of Nanoelectronics and Optoelectronics 13, 1473-1477 , 2018 2018 Citations: 20