Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering
5
Scopus Publications
7
Scholar Citations
2
Scholar h-index
Scopus Publications
Quantum-artificial intelligence framework for suppressing dendrites and enhancing interface stability in lithium-metal solid-state batteries Surya Kalyan Chakravarthy Nidamanuri, Mohammed Bilal Netibottu, Bhaskara Rao Kasipogula, Jafar Ali Ibrahim Syed Masood, Raenu Kolandaisamy, Kousik Nalliyanna Gounder Veerappan Energy Exploration and Exploitation, 2026 With the increasing call for sustainable energy storage, solid-state batteries (SSBs) stand out as promising for dealing with the safety, energy density, and lifespan performance bottlenecks associated with commercial lithium-ion systems. Nonetheless, factors such as dendrite formation and unstable electrode–electrolyte interfaces still hamper their commercial adoption in grid-scale renewable applications. In this work, we present a quantum-informed artificial intelligence framework that combines quantum chemistry-based interfacial descriptors and machine learning algorithms to predict, suppress, and optimize dendritic propagation and interfacial breakdown in lithium-metal SSBs. The framework benefits from density functional theory-based quantum simulations to guide the training of graph-based artificial intelligence predictors, thus offering material and interface design in a realistic operational environment. Our work shows enhanced thermal stability, ionic conductivity, and interface coherence and provides a strategic step toward the practical applications of deployable SSBs for smart grids. The model is consistent with the Sustainable Development Goal objectives for affordable energy, climate action and innovation, and it represents a road for scalable, sustainable, and intelligent energy storage.
A chopper amplifier with adaptive biasing OTA for biomedical applications, featuring high gain and CMRR Bhaskara Rao Kasipogula, Gurumurthy Komanapalli Plos One, 2024 This paper presents a design of fully differential chopper amplifier employing the flipped voltage follower (FVF) adaptive biasing technique, focusing on its potential use in biopotential recording applications. The suggested architectural OTA incorporates self-cascoded current mirrors (SCCMs) as the active load to achieve a substantial output swing. The FVFs based adaptive biasing approach for the differential input stage boosts extra current and enhances gain and dynamic characteristics. The chopper amplifier attains a common mode rejection ratio (CMRR) of more than 100 dB through the strategic utilization of chopper modulators and pseudo-resistors. Additionally, this device exhibits characteristics such as accurate and stable gain, high input impedance, and a compact physical footprint. The present study also includes a comparison between the suggested structure and the bio-potential amplifiers discussed in the existing literature. This comparison is based on key metrics such as gain, input referred noise (IRN), CMRR, and input impedance (Zin). The proposed structure yielded a gain of 63.72 dB, an IRN of 0.07nVrms, a CMRR of 127.97 dB and a Zin of 1.54 GΩ. The bio-potential chopper amplifier under consideration was constructed and simulations were performed by utilizing the Cadence Virtuoso Spectre simulator tool at 180 nm CMOS technology node.
A High Gain, High CMRR, Low Noise Bio-Potential amplifier based on Switched Capacitor Feedback Amplifier Bhaskara Rao Kasipogula, Gurumurthty Komanapalli Journal of Integrated Circuits and Systems, 2024 This paper describes a biopotential amplifier based on an operational transconductance amplifier (OTA) de-signed specifically for bio-potential recordings to achieve high gain and low noise. The amplifier uses a differential architec-ture with chopper modulators and pseudo-resistors to achieve a Common Mode Rejection Ratio (CMRR) of over 100 dB. The design has several key features, including precise and high steady gain, large output swing, good load-driving capabilities, high input impedance (Zin), and a small footprint. The paper compares the proposed circuit with other bio-potential ampli-fiers in the literature, focusing on key parameters such as gain, input referred noise (IRN), CMRR, and Zin. The outcomes show that the suggested amplifier has a gain of 57.7 dB, an IRN of 0.839 µVrms, a CMRR of 108.13 dB, and consumes 8.854 µW at 0.8 V. The proposed bio-potential amplifier was implemented using a 180 nm CMOS technology node and was verified through simulations using the Cadence Virtuoso Spec-tre Simulator. The findings indicate that the proposed design is highly effective for recording bio-potentials in various appli-cations.
A High Gain and High CMRR Chopper Amplifier Using Current Splitting OTA for Biomedical Applications Bhaskara Rao Kasipogula, Gurumurthy Komanapalli, Manikata Kurivella 2023 International Conference on Next Generation Electronics Nelex 2023, 2023 This paper proposes a capacitively-coupled current splitting OTA designed specifically for biomedical recording applications, focusing on achieving power efficiency, low noise, and high swing. The utilization of contemporary current splitting and current scaling techniques in the current mirror has resulted in a highly favorable balance between power consumption and noise levels. The design being discussed is characterized by its simplicity since it does not have a cascode transistor. Despite this simplicity, it can achieve an open-loop gain of over 60 dB without incurring any additional power consumption. Consequently, the suggested configuration exhibits a superior power efficiency factor (PEF) and an enhanced output swing. To mitigate flicker noise and optimize the balance between power consumption and noise performance, PMOS transistors operating in the sub-threshold region have been employed, utilizing an optimal size. The amplifier has been built and simulated using the Cadence Virtuoso tool with 0.18 µm CMOS technology. Corner simulations have been conducted to analyze the effects of process variations and mismatch. The amplifier under consideration has a gain and CMRR of 57.06 dB, and 161.7 dB, within its specified frequency range of 0.5 Hz to 10 kHz respectively. The total input-referred noise (IRN) is 14.45 ${\\bf{\\mu Vrms}}$ within the frequency range of 1 Hz to 10 kHz. The amplifier's power consumption is measured to be 6.17 ${\\bf{\\mu W}}$ when operating with a supply voltage of $ \\pm \\;0.8\\;{\\bf{V}}$. The proposed technique is suitable for a variety of biomedical applications due to its high gain and high CMRR.
Design and Performance Assessment of Dielectrically Modulated Reverse T-Shaped TFET Biosensor Manikanta Kurivella, Umakanta Nanda, Bhaskara Rao Kasipogula 2023 International Conference on Next Generation Electronics Nelex 2023, 2023 The manuscript introduces a novel biosensor called the “Reverse T-shaped channel Double Gate TFET.” This innovative biosensor incorporates a dual cavity design to detect both charged and neutral biomolecules effectively. To enhance the sensing capabilities of the device, dual cavities are strategically positioned near both gate metals. In this document, we evaluate the biosensor's sensitivity to four different biomolecules, each characterized by distinct dielectric constants. The biomolecules under consideration and their respective dielectric constants are Uricase (k=1.54), Streptavidin (k=2.1), Protein (k=2.50), ChOx (k=3.30), and APTES (k=3.57). Additionally, we thoroughly investigate the biosensor's capability to detect charged biomolecules, specifically deoxyribonucleic acid (DNA), which possesses a specific dielectric constant of k=6. Additionally, the manuscript evaluates the device's sensitivity in terms of its “Switching ratio,” providing a comprehensive assessment of its performance.
RECENT SCHOLAR PUBLICATIONS
Nanoparticle Assisted Early Treatment of Regional Skin Invasion Caused by Glioblastoma Multiforme Micro-Environment KB Rao, G Samara, TA Babu, N Karthik, N Chidambararaj 2025 International Conference on Recent Innovation in Science Engineering … , 2025 2025
A chopper amplifier with adaptive biasing OTA for biomedical applications, featuring high gain and CMRR BR Kasipogula, G Komanapalli PloS one 19 (11), e0313423 , 2024 2024 Citations: 2
A High Gain, High CMRR, Low Noise Bio-Potential amplifier based on Switched Capacitor Feedback Amplifier BR Kasipogula, G Komanapalli Journal of Integrated Circuits and Systems 19 (2), 1-9 , 2024 2024 Citations: 2
A high gain and high CMRR chopper amplifier using current splitting OTA for biomedical applications BR Kasipogula, G Komanapalli, M Kurivella 2023 International Conference on Next Generation Electronics (NEleX), 1-5 , 2023 2023 Citations: 2
Design and Performance Assessment of Dielectrically Modulated Reverse T-Shaped TFET Biosensor M Kurivella, U Nanda, BR Kasipogula 2023 International Conference on Next Generation Electronics (NEleX), 1-5 , 2023 2023 Citations: 1
Web Design Irrigation in Wireless Sensor Network Using Raspberry Pi KB Rao, MB Marneni 2016
MOST CITED SCHOLAR PUBLICATIONS
A chopper amplifier with adaptive biasing OTA for biomedical applications, featuring high gain and CMRR BR Kasipogula, G Komanapalli PloS one 19 (11), e0313423 , 2024 2024 Citations: 2
A High Gain, High CMRR, Low Noise Bio-Potential amplifier based on Switched Capacitor Feedback Amplifier BR Kasipogula, G Komanapalli Journal of Integrated Circuits and Systems 19 (2), 1-9 , 2024 2024 Citations: 2
A high gain and high CMRR chopper amplifier using current splitting OTA for biomedical applications BR Kasipogula, G Komanapalli, M Kurivella 2023 International Conference on Next Generation Electronics (NEleX), 1-5 , 2023 2023 Citations: 2
Design and Performance Assessment of Dielectrically Modulated Reverse T-Shaped TFET Biosensor M Kurivella, U Nanda, BR Kasipogula 2023 International Conference on Next Generation Electronics (NEleX), 1-5 , 2023 2023 Citations: 1
Nanoparticle Assisted Early Treatment of Regional Skin Invasion Caused by Glioblastoma Multiforme Micro-Environment KB Rao, G Samara, TA Babu, N Karthik, N Chidambararaj 2025 International Conference on Recent Innovation in Science Engineering … , 2025 2025
Web Design Irrigation in Wireless Sensor Network Using Raspberry Pi KB Rao, MB Marneni 2016