Pushpendra Singh

@nims.go.jp

Post-Doctoral Researcher
National Institute for Materials Science (NIMS)

Pushpendra Singh


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https://researchid.co/pushpendra

RESEARCH INTERESTS

Signal Processing in Biological Systems, Wireless Communication
21

Scopus Publications

768

Scholar Citations

17

Scholar h-index

23

Scholar i10-index

Scopus Publications

  • DVH-guided gradnorm subsampling for optimized radiotherapy planning: Validation on the CORT liver dataset
    Seema Singh, Pushpendra Singh, Alka Mishra, Santosh Kumar Mishra, Pawan Kumar Patnaik
    Biomedical Signal Processing and Control, 2026
  • Entropy-Heat Transfer Coupling in Vibrational Non-Newtonian Nanofluid Flow with two phase study
    Amrita Tripure, Santosh Kumar Mishra, Amrit Shende, Pushpendra Singh
    Evergreen, 2026
    This study investigates the coupled effects of mechanical vibration on heat transfer and entropy generation in non-Newtonian nanofluid flow under constant wall temperature conditions.The introduction of vibration promotes radial mixing and temperature uniformity, leading to a marked increase in convective heat transfer.Parametric analysis reveals that amplitude is the most influential factor, followed by frequency, Reynolds number, and nanoparticle concentration.Increasing vibration amplitude consistently enhances the Nusselt number across all Reynolds numbers, with values rising from approximately 38-118 in the static case to 202-224 at 4 mm amplitude and 100 Hz.The frequency effect becomes more prominent at higher amplitudes, with optimal enhancement observed between 25-100 Hz.Entropy-based analysis shows that vibration reduces total irreversibility by mitigating thermal gradients; however, excessive vibration can elevate viscous dissipation, increasing entropy generation.Thus, optimal thermal performance is achieved at moderate amplitudes and relatively high frequencies, balancing enhanced heat transfer with minimized entropy production.Two-phase numerical modeling accurately captures nanoparticle slip, diffusion, and clustering effects, exhibiting better agreement with experimental data than single-phase models.The findings provide valuable insights for the design and optimization of nanofluid-based thermal systems operating under vibrational environments.
  • Entropy–heat transfer coupling in vibrational non-Newtonian nanofluid flow
    Amrita Tripure, Manoj Sao, Santosh Kumar Mishra, Shubhrata Nagpal, Pushpendra Singh
    Pramana Journal of Physics, 2026
  • Exploring heat transfer augmentation and entropy generation in nanofluid flow induced by vibration: Influence of velocity and rheological properties
    Santosh Kumar Mishra, Amrit Shende, Alka Mishra, Pushpendra Singh
    Numerical Heat Transfer Part A Applications, 2026
    This study numerically investigates the heat transfer and entropy generation of nanofluid flow under mechanical vibration, employing approved formulations to model the nanofluid density, specific heat, viscosity, and conductivity. Specifically, the impact of vibration on laminar forced convection thermal flow of both pure water and Al2O3-water nanofluid within a pipe is explored using CFD. Various Reynolds numbers are examined under constant heat flux conditions, with nanofluid properties determined using established correlations. Results indicate that applying Al2O3 nanofluid slurry instead of pure water at low Reynolds numbers reduces entropy generation, proving advantageous. Vibration enhances heat transfer by intensifying fluid agitation and promoting particle dispersion near the wall, resulting in a significantly more uniform temperature distribution along the pipe, approximately 100 times more than steady-state flow. Analysis reveals vibration’s effectiveness in reducing irreversibility, especially at lower Reynolds numbers, with substantial enhancements in heat transfer coefficients, up to approximately fivefold compared to steady-state flow, particularly for nanofluid flows. Optimal conditions for maximizing heat transfer enhancement emphasize nanoparticle size and concentration. Mechanical vibration with different frequencies produces significant improvements in heat transfer compared to amplitude variations, primarily influenced by the Reynolds number. Overall, this study offers valuable insights into the intricate relationship between vibration, fluid dynamics, and heat transfer in nanofluid flows, with practical implications for optimizing thermal management systems across various engineering applications.
  • Refining cell classification for cervical cancer detection using an improved high dimensional feature fusion approach
    Seema Singh, Chandrahas Sahu, Pushpendra Singh, Alka Mishra, Santosh Kumar Mishra, Pawan Kumar Patnaik
    Medical Engineering and Physics, 2025
    INTRODUCTION: Early and accurate classification of cervical cell images is essential for timely detection and prevention of cervical cancer. Traditional cytological analysis methods, such as manual interpretation of Pap smears, are often labor-intensive and susceptible to human error. Recent advances in deep learning offer promising solutions, yet many existing models lack generalization across datasets and struggle with multi-class classification challenges. METHOD: To address these limitations, this work introduces a Modified High-Dimensional Feature Fusion (HDFF) framework. The proposed method integrates normalized feature vectors extracted from seven diverse pre-trained CNN architectures-VGG16, VGG19, ResNet50, XceptionNet, InceptionV3, DenseNet121, and a Lightweight Feature extractor. These features are concatenated to form a unified representation, which is then processed by a fully connected classifier with dropout and batch normalization to enhance generalization and reduce redundancy. RESULTS: The model is evaluated on four benchmark datasets: Herlev, SIPaKMeD, Mendeley LBC, and Malhari. It achieves an accuracy of up to 99.85 % in binary classification tasks and maintains high precision, recall, F1-score, specificity, and AUC in more complex multi-class settings. On the Herlev dataset, for example, it attains a precision of 0.995, recall of 0.987, and F1-score of 0.985. Compared to existing approaches, the Modified HDFF demonstrates lower misclassification rates and stable performance across class imbalances and dataset variations. CONCLUSION: The results confirm the robustness and adaptability of the Modified HDFF framework, making it a reliable candidate for real-world cervical cancer screening. Its ability to generalize across datasets underscores its clinical relevance and diagnostic value.
  • Enhancing ECG analysis through parametric quartic spline modeling and machine learning classification
    Alka Mishra, Surekha Bhusnur, Santosh Kumar Mishra, Pushpendra Singh
    Computational Intelligence for Connective Cognition Networks Advances and Applications, 2025
    This chapter presents a comprehensive investigation into electrocardiogram (ECG) modeling and classification methods. The primary focus is on utilizing parametric quartic splines to model ECG signals, allowing for the generation of a new dataset. This approach offers a novel perspective on ECG signal representation and opens avenues for further research into signal analysis and interpretation. In addition to ECG modeling, the study explores the application of machine learning techniques for ECG classification. Three different algorithms are employed: K-nearest neighbors (KNN), Naïve Bayes, and AdaBoost. The reported classification accuracy is 94% for KNN, 99% for Naïve Bayes, and 98% for AdaBoost. These methods are implemented using the Orange software platform, which provides a user-friendly interface for data analysis and machine learning tasks. The classification task encompasses distinguishing between normal sinus rhythms and abnormal sinus rhythms in ECG signals. By leveraging the power of machine learning, the study aims to achieve high accuracy in classifying ECG patterns, which is crucial for accurate diagnosis and patient management in clinical settings.
  • Strategic cancer therapy planning: optimizing treatment and quality of life with Markov decision processes
    Seema Singh, Chandrahas Sahu, Pushpendra Singh, Alka Mishra, Santosh Kumar Mishra, Pawan Kumar Patnaik
    Reports of Practical Oncology and Radiotherapy, 2025
    Background: In managing the progression of diseases, particularly cancer, Markov decision processes (MDP) and dynamic therapy regimes are gaining prominence. Despite this, cancer treatments often negatively impact patients' quality of life, leading many to abandon effective, accessible, and affordable therapies. Materials and methods: This paper introduces a novel MDP-based mathematical framework for optimizing multi-therapy treatment schedules in malignancy therapy. Through practical illustrations, we demonstrate the utility and applicability of the proposed framework. Our approach integrates both patient utility and the physician's net benefit function, accounting for treatment options and survival probabilities across diverse clinical profiles. The system state in our MDP model is defined by tumor progression and normal tissue side effects, while the response field encompasses treatment outcomes categorized into recurrence, tumor regression, and healthy tissue safety. At each decision stage, the physician assesses the patient's condition and selects the optimal treatment strategy to maximize the final reward, determined by the patient's health at the end state. Results/Conclusions: This framework offers a holistic approach to improving overall treatment outcomes while recognizing the importance of preserving patients' quality of life.
  • Effects of vibrational flow on nanofluid flow behavior under different temperature boundary conditions
    Santosh Kumar Mishra, Amrita Tripure, Alka Mishra, Pushpendra Singh
    Numerical Heat Transfer Part A Applications, 2025
    A comparative study was conducted using a well-validated computational fluid dynamics (CFD) model to investigate the effects on heat transfer. The study focused on forced convection internal flow of both base fluid and nanofluid, subjecting them to different boundary conditions. Vibration was applied in the transverse direction to the flow. The simulations were performed with varying Reynolds numbers, volume fractions, vibration frequencies, and amplitudes. In order to improve the predictive capabilities of the computational fluid dynamics (CFD) model for single-phase flow systems, rheological properties dependent on temperature were incorporated. The introduction of transverse vibrations swiftly disrupted the thermal boundary layer, resulting in an axial temperature increase for low Reynolds number flows. Consequently, under constant wall temperature conditions, this led to heightened heat transfer rates. The observed enhancement in heat transfer rate, achieved through variations in volume fraction and particle diameter, aligned with typical behavior exhibited by nanofluids under steady-state flow. However, under vibrational conditions, the heat transfer enhancement surpassed that of the pure liquid significantly. As frequency levels rose, the impact of vibrations diminished, while changes in amplitude exerted a more pronounced influence. The most substantial increase, approximately 540%, was witnessed under vibrational flow conditions compared to steady-state flow. The ratio of the heat transfer coefficient was about 28% higher when the flow was subjected to uniform heat flux but under unsteady-state conditions. However, there was not much growth in the outlet temperature observed.
  • Entropy generation in newtonian vs non-newtonian nanofluid flow under vibration
    Santosh Kumar Mishra, Alka Mishra, Pushpendra Singh
    Physica Scripta, 2024
    Numerical investigation into the effects of vibration on heat transfer and entropy generation in Newtonian and Non-Newtonian nanofluid flows through pipes reveals enhanced heat transfer via intensified fluid agitation and improved particle dispersion. Thermal entropy generation analysis shows reduced irreversibility in vibrated flow, indicating improved flow mixing. Vibration enhances heat transfer by intensifying fluid agitation and promoting particle dispersion near the wall, resulting in a significantly more uniform temperature distribution along the pipe, approximately 100 times more than steady-state flow. This study underscores vibration’s potential to optimize heat transfer and reduce entropy generation in nanofluid systems, emphasizing velocity and rheological impacts. Comparison of vibrated flow to steady-state flow for Newtonian and non-Newtonian fluids reveals significant improvements under vibration, particularly at lower Reynolds numbers where non-Newtonian fluids exhibit pronounced effects. Future research directions include exploring thermal radiation’s impact on entropy generation, analyzing different nanofluid compositions, and investigating varied boundary conditions and geometries to advance understanding in this field. This study provides valuable insights into the complex interplay among vibration, fluid dynamics, and heat transfer in nanofluid flows. Its findings have practical implications for optimizing thermal management systems in diverse engineering applications.
  • Comparative analysis of parametric B-spline and Hermite cubic spline based methods for accurate ECG signal modeling
    Alka Mishra, Surekha Bhusnur, Santosh Kumar Mishra, Pushpendra Singh
    Journal of Electrocardiology, 2024
  • An Optimal Framework for the Effective Delivery of the Radiation to the target by Considering the Case of Head and Neck Cancer
    Pushpendra Singh, Naveen Kumar Dewangan, Ravindra Manohar Potdar, Seema Singh, Alka Mishra, Santosh Kumar Mishra
    Polish Journal of Medical Physics and Engineering, 2024
  • Parametric B-Spline Method for Synthetic ECG Signal Generation: An Alternative Approach to Addressing Challenges in ECG Analysis
    Alka Mishra, Surekha Bhusnur, Santosh Kumar Mishra, Pushpendra Singh
    Aip Conference Proceedings, 2024
  • Exploring a new frontier in cardiac diagnosis: ECG analysis enhanced by machine learning and parametric quartic spline modeling
    Alka Mishra, Surekha Bhusnur, Santosh Kumar Mishra, Pushpendra Singh
    Journal of Electrocardiology, 2024
  • Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges
    Pushpendra Singh, Seema Singh, Alka Mishra, Santosh Kumar Mishra
    Research on Biomedical Engineering, 2024
  • A comprehensive analysis of the challenges and potential side effects of radiation therapy for palliative cancer treatment
    Pushpendra Singh, Alka Mishra, Santosh Kumar Mishra
    Medecine Palliative, 2024
  • Heat Transfer and Entropy Generation in Vibrational Flow: Newtonian vs. Inelastic Non-Newtonian Fluid
    Mishra, S. K., Mishra, A., Singh, P., Dubey, M.
    Journal of Applied Fluid Mechanics, 2024
  • Wavelet Based Random Noise Removal from Color Images Using Python
    Devanand Bhonsle, K K Saxena, Ruhi Uzma Sheikh, Anil Kumar Sahu, Pushpendra Singh, Tanu Rizvi
    2024 4th International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2024, 2024
  • Investigation of Thermomechanical and Flammability Behaviors of Hemp/Polypropylene Reinforced Polylactic Acid Composites
    D. Jeyasimman, J.Arun Prakash, R.Arun Prasath, A. Sivaraman, Pushpendra Singh, P. Satishkumar
    Materials Science Forum, 2024
  • Optimal Delivery of Fluence Profile Using Dynamic Multi-Leaf Collimator Leaf Trajectory Optimization
    Pushpendra Singh, Supriya Tripathi
    Ecs Transactions, 2022
  • A unified approach for optimal dose delivery and trajectory optimization for the treatment of prostate cancer
    Pushpendra Singh, Supriya Tripathi, Shresth Gupta
    Biomedical Signal Processing and Control, 2021
  • Fluence map optimisation for prostate cancer intensity modulated radiotherapy planning using iterative solution method
    Pushpendra Singh, Supriya Tripathi, Raunak Kumar Tamrakar
    Polish Journal of Medical Physics and Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Silver nanoparticle-enhanced plasmonic front-end for wideband scalp electrometry
    A Athawale, A Bandyopadhyay, P Singh
    Journal of Applied Physics 139 (15) , 2026
    2026
  • MHz Triplet of Triplet Sinusoidal Signal as Marker of Consciousness Not Triplet
    GCS Coma, LC Don't Show
    Proceedings of Trends in Electronics and Health Informatics: TEHI 2024, 441 , 2026
    2026
  • Room-temperature soliton–polariton condensation in a hierarchical helical-nanowire fractal gel
    P Singh, P Sahoo, A Bandyopadhyay
    Nanotechnology 37 (8), 085002 , 2026
    2026
    Citations: 2
  • Meninges act as a gate for EEG & DDG: only MHz frequencies can reflect from 14 layers, defining consciousness – a clinical study
    AB Pushpendra Singh, Sarika Katiyar, Saifullah Tipu, Shanthi Banishetty ...
    J. Multisc. Neurosci. 4 (1), 64-84 , 2025
    2025
    Citations: 3
  • Rectangular Nature of Megahertz Bursts Naturally Eliminates Operation Theater’s Sinusoidal Noises Affecting Anesthetized Subjects: A Clinical Study
    S Banishetty, S Katiyar, S Tipu, P Singh, T Dutta, R Ranjan, S Hameroff, ...
    International Conference on Trends in Electronics and Health Informatics … , 2024
    2024
  • Simulating Photonic Interference Using Quantum Walk
    C Roy, P Singh, CS Yadav, L Behera, A Bandyopadhyay
    International Conference on Trends in Computational and Cognitive … , 2024
    2024
  • High-Level Clocks Network Simulation for Input Challenges in Quantum Computing
    P Singh, C Roy, CS Yadav, L Behera, A Bandyopadhyay
    International Conference on Trends in Computational and Cognitive … , 2024
    2024
  • Optimizing Yagi Antenna Arrays for a Single-Channel Input in Optical Vortex Quantum Computing
    P Singh, CS Yadav, L Behera, A Bandyopadhyay
    International Conference on Trends in Computational and Cognitive … , 2024
    2024
  • Revisiting Self-Operating Mathematical Universe (SOMU) as a Theory for Artificial General Intelligence, AGI and G+ Consciousness
    S Pramanik, J Sarkar, P Singh, K Ray, A Bandyopadhyay
    Brain-like Super Intelligence from Bio-electromagnetism, 209-349 , 2024
    2024
    Citations: 2
  • Dodecanogram (DDG): advancing EEG technology with a high-frequency brain activity measurement device
    TDAB P. Singh, J. S. Manna, P. Dey, S. Sarkar, A. Pattanayaka, S. Nag, S ...
    Journal of Multiscale Neuroscience 3 (1), 13-26 , 2023
    2023
    Citations: 10
  • A general-purpose organic gel computer that learns by itself
    P Sahoo, P Singh, K Saxena, S Ghosh, RP Singh, R Benosman, JP Hill, ...
    Neuromorphic Computing and Engineering 3 (4), 044007 , 2023
    2023
    Citations: 7
  • An optical quantum computer that uses both quantum logic gate and quantum annealing
    P Singh, P Sahoo, CS Yadav, L Behera, A Bandyopadhyay
    International Conference on Trends in Computational and Cognitive … , 2023
    2023
    Citations: 2
  • Inventing the Potential of a High-Frequency EEG, Namely Dodecanogram (DDG): Human Subjects’ Study
    P Singh, J Sarkar, P Dey, S Sarkar, A Pattanaya, S Nag, S Pramanik, ...
    International Conference on Trends in Computational and Cognitive … , 2023
    2023
    Citations: 6
  • An Effective Way to Build a Single Photon Source: Double Ratchet Motors Use in Photon Antibunching
    P Singh, J HILL, T NAKAYAMA, A BANDYOPADHYAY
    MANA International Symposium 2023 , 2023
    2023
  • 1D to 20D tensors like dodecanions and icosanions to model human cognition as morphogenesis in the density of primes
    S Pramanik, P Singh, P Sahoo, K Ray, A Bandyopadhyay
    Proceedings of the Fourth International Conference on Trends in … , 2023
    2023
    Citations: 4
  • Self-survival of quantum vibrations of a tubulin protein and microtubule: quantum conductance and quantum capacitance
    K Saxena, P Singh, S Sahu, S Ghosh, P Sahoo, SD Krishnananda, ...
    Proceedings of the Fourth International Conference on Trends in … , 2023
    2023
    Citations: 9
  • A third angular momentum of photons
    P Sahoo, P Singh, J Manna, RP Singh, JP Hill, T Nakayama, S Ghosh, ...
    Symmetry 15 (1), 158 , 2023
    2023
    Citations: 8
  • The century-old picture of a nerve spike is wrong: filaments fire, before membrane
    S Ghosh, P Singh, J Manna, K Saxena, P Sahoo, SD Krishnanda, K Ray, ...
    Communicative & Integrative Biology 15 (1), 115-120 , 2022
    2022
    Citations: 18
  • A Multiband Tree-shaped Microstrip Antenna for Wireless Communication
    P Singh, K Ray, BH Ahmad, P Yupapin, A Bandyopadhyay
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 14 … , 2022
    2022
    Citations: 1
  • Amyloid-β Can Form Fractal Antenna-Like Networks Responsive to Electromagnetic Beating and Wireless Signaling
    K Saxena, P Singh, P Dey, MA Wälti, P Sahoo, S Ghosh, SD Krishnanda, ...
    International Conference on Trends in Electronics and Health Informatics … , 2022
    2022
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Fractal, scale free electromagnetic resonance of a single brain extracted microtubule nanowire, a single tubulin protein and a single neuron
    K Saxena, P Singh, P Sahoo, S Sahu, S Ghosh, K Ray, D Fujita, ...
    Fractal and Fractional 4 (2), 11 , 2020
    2020
    Citations: 84
  • Cytoskeletal Filaments Deep Inside a Neuron Are Not Silent: They Regulate the Precise Timing of Nerve Spikes Using a Pair of Vortices
    AB Pushpendra Singh, Pathik Sahoo, Komal Saxena, Jhimli Sarkar Manna, Kanad ...
    Symmetry 13 (5) , 2021
    2021
    Citations: 55
  • A Self-Operating Time Crystal Model of the Human Brain: Can We Replace Entire Brain Hardware with a 3D Fractal Architecture of Clocks Alone?
    DFAB Pushpendra Singh, Komal Saxena, Anup Singhania, Pathik Sahoo, Subrata ...
    Information 11 (5), 238 , 2020
    2020
    Citations: 55
  • Electrophysiology using coaxial atom probe array: live imaging reveals hidden circuits of a hippocampal neural network
    P Singh, K Saxena, P Sahoo, S Ghosh, A Bandyopadhyay
    Journal of Neurophysiology 125 (6), 2107-2116 , 2021
    2021
    Citations: 46
  • A brain-like computer made of time crystal: could a metric of prime alone replace a user and alleviate programming forever?
    S Reddy, D Sonker, P Singh, K Saxena, S Singh, R Chhajed, S Tiwari, ...
    Soft Computing Applications, 1-43 , 2018
    2018
    Citations: 41
  • Quaternion, Octonion to Dodecanion Manifold: Stereographic Projections from Infinity Lead to a Self-operating Mathematical Universe
    AB Pushpendra Singh, Pathik Sahoo, Komal Saxena, Subrata Ghosh, Satyajit ...
    International Conference on Trends in Computational and Cognitive Engineering , 2020
    2020
    Citations: 37
  • Complete dielectric resonator model of human brain from MRI data: a journey from connectome neural branching to single protein
    P Singh, K Ray, D Fujita, A Bandyopadhyay
    Engineering Vibration, Communication and Information Processing: ICoEVCI … , 2018
    2018
    Citations: 29
  • DNA as an electromagnetic fractal cavity resonator: its universal sensing and fractal antenna behavior
    P Singh, R Doti, JE Lugo, J Faubert, S Rawat, S Ghosh, K Ray, ...
    Soft Computing: Theories and Applications: Proceedings of SoCTA 2016, Volume … , 2017
    2017
    Citations: 29
  • A space-time-topology-prime, stTS metric for a self-operating mathematical universe uses Dodecanion geometric algebra of 2-20 D complex vectors
    P Singh, P Sahoo, K Saxena, S Ghosh, S Sahu, K Ray, D Fujita, ...
    Proceedings of International Conference on Data Science and Applications … , 2020
    2020
    Citations: 25
  • Fractal and periodical biological antennas: hidden topologies in DNA, wasps and retina in the eye
    P Singh, M Ocampo, JE Lugo, R Doti, J Faubert, S Rawat, S Ghosh, K Ray, ...
    Soft computing applications, 113-130 , 2018
    2018
    Citations: 25
  • Analysis of sun flower shaped monopole antenna
    P Singh, K Ray, S Rawat
    Wireless Personal Communications 104 (3), 881-894 , 2019
    2019
    Citations: 24
  • The century-old picture of a nerve spike is wrong: filaments fire, before membrane
    S Ghosh, P Singh, J Manna, K Saxena, P Sahoo, SD Krishnanda, K Ray, ...
    Communicative & Integrative Biology 15 (1), 115-120 , 2022
    2022
    Citations: 18
  • Compact design of rectangular patch antenna with symmetrical U slots on partial ground for UWB applications
    S Toshniwal, S Sharma, S Rawat, P Singh, K Ray
    Innovations in Bio-Inspired Computing and Applications: Proceedings of the … , 2015
    2015
    Citations: 18
  • Design of nature inspired broadband microstrip patch antenna for satellite communication
    P Singh, K Ray, S Rawat
    Advances in Nature and Biologically Inspired Computing: Proceedings of the … , 2015
    2015
    Citations: 18
  • Polyatomic time crystals of the brain neuron extracted microtubule are projected like a hologram meters away
    K Saxena, P Singh, J Sarkar, P Sahoo, S Ghosh, SD Krishnananda, ...
    Journal of Applied Physics 132 (19) , 2022
    2022
    Citations: 17
  • All basics that are wrong with the current concept of time crystal: learning from the polyatomic time crystals of protein, microtubule, and neuron
    K Saxena, P Singh, P Sahoo, S Ghosh, D Krishnanda, K Ray, D Fujita, ...
    Proceedings of Trends in Electronics and Health Informatics: TEHI 2021, 243-254 , 2022
    2022
    Citations: 17
  • Filaments and four ordered structures inside a neuron fire a thousand times faster than the membrane: theory and experiment
    P Singh, P Sahoo, S Ghosh, K Saxena, JS Manna, K Ray, ...
    Journal of Integrative Neuroscience 20 (4), 777-790 , 2021
    2021
    Citations: 17
  • Circular and elliptical shaped fractal patch antennas for multiple applications
    A Garhwal, MR Ahmad, BH Ahmad, S Rawat, P Singh, K Ray, ...
    International Journal of Engineering and advanced Technology (IJEAT) 8 (5 … , 2019
    2019
    Citations: 14
  • Biological antenna to the humanoid bot: electromagnetic resonances in biomaterials
    P Singh, K Ray, A Bandyopadhyay
    Springer Singapore , 2022
    2022
    Citations: 12
  • Designing of UWB monopole antenna with triple band notch characteristics at WiMAX/C-band/WLAN
    SK Vijay, MR Ahmad, BH Ahmad, S Rawat, P Singh, K Ray, ...
    Proceedings of International Conference on Data Science and Applications … , 2020
    2020
    Citations: 12