Chandan Choubey

@niet.co.in

Assistant Professor, Computer Science & Engineering Department
Noida Institute of Engineering & Technology

Chandan Choubey


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https://researchid.co/chan208205
Chandan Choubey received B.Tech degree from Uttar Pradesh Technical University, Lucknow in 2008, M.Tech degree from National Institute of Technology Kurukshetra in 2010. Presently, he is working as Assistant Professor in Dronacharya Group of Institution, Greater Noida and pursuing his Doctorate degree in the field of Robotics and its Control from NIT Kurukshetra. His areas of interest includes Robotic System and its control, Optimization, Soft Computing and its application for the Dynamics and Control of Parallel Manipulators.

EDUCATION

PhD from NIT Kurukshetra
M.Tech from NIT Kurukshetra
B.Tech from Uttar Pradesh Technical University, Lucknow

RESEARCH INTERESTS

Control system
Optimization Techniques
Optimal Trajectory generation of robotic arm
Optimal Trajectory tracking of robotic arm
25

Scopus Publications

159

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Voltage Conveyor Transconductance Amplifier (VCTA): A Novel Analog Building Block for Advanced Analog Signal Processing Applications
    Chandan Kumar Choubey, Manoj Kumar Tiwari, Aruna Pathak, Durgesh Nandan
    Circuits Systems and Signal Processing, 2026
  • Design methodology for low-power, low-voltage inductor-less Chua's chaotic oscillator
    Chandan Kumar Choubey, Amit Gupta, Aruna Pathak
    Methodsx, 2025
    This paper describes the design and modeling of a low-power, low-voltage Chua's chaotic oscillator using Dynamic Threshold Metal Oxide Semiconductor (DTMOS) technology. The primary active block used for this design is the DTMOS-based Dual-X Second-Generation Current Conveyor (DXCCII), which is an efficient current-mode active block that dramatically improves circuit performance and efficiency. The nonlinear active element of the Chua circuit, also called the Chua diode, is built using a single DXCCII block. Also, a synthetic inductor using only one DXCCII is used instead of a real inductor is used, which eases the fabrication process. As a result, the complete circuit requires only two DXCCIIs, allowing for an inductor-free design. The suggested circuits, including the Chua diode and Chua circuits, are simulated in PSPICE utilizing TSMC 180 nm CMOS technology. A DTMOS implementation of the DXCCII has been realized and utilized in the simulation with 180 nm CMOS technology. The slopes and the breakpoints of the nonlinear resistors are obtained from the V-I characteristics of Chua's diode, which confirms the theoretical and mathematical predictions. Attractors and chaotic waveforms obtained in the simulation validate the proposed DTMOS-based Chua chaotic oscillator. The circuit uses a bias voltage of ±0.2 V and consumes only 1.58 µW.•A low-power, low-voltage design of Chua's chaotic oscillator using DTMOS technology has been proposed in this paper.•With only two DTMOS-based DXCCIIs, an inductor-less design has been implemented.•The proposed circuit uses a bias voltage of ±0.2 V and consumes only 1.58 µW.
  • Enhanced Parkinson's Disease Diagnosis: A Machine Learning Approach with RSCV and ADASYN
    Isha Verma, Rohit Agrawal, Chandan Kumar Choubey, Ranjeet Kumar Singh
    Proceedings of the 2025 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2025, 2025
    A degenerative neurological ailment that affects the nervous system and the body’s nerve-controlled areas is termed Parkinson’s disease (PD), causing motor and cognitive symptoms that can resemble other conditions. Many machine learning techniques have been proposed in the literature for PD, however, these have limited performance. In this paper, we seek to determine PD using multiple ML models, such as Random Forest, Support Vector Classifier, etc.. However, Using these models in the standard form does not enhance the performance. Hence, in this paper, to enhance the models’ performance, we perform hyperparameter tuning based on RandomizedSearchCV (RSCV), and ADASYN (Adaptive Synthetic Sampling).We perform experiments on a dataset, extracted from the machine learning repository at the University of California, Irvine (UCI), including 195 voice recordings of "31 patients" exams. We experimentally show that combining RandomizedSearchCV and ADASYN with standard methods (KNN, SVC, and RF, etc,) improves the performance as compared to the existing approaches. We obtain the highest scores across all metrics when using RSCV with SVC, showing significant improvement with hyperparameter tuning. Here, we achieved a 97% average accuracy, a 86% average recall, a 100% average precision, and a 93% F1-score.
  • Tunable floating and grounded memristor emulator model
    Sagar Surendra Prasad, Somenath Dutta, Chandan Kumar Choubey, Sanjay Kumar Dubey, Bindu Priyadarshini, Rajeev Kumar Ranjan
    International Journal of Electronics, 2025
    ABSTRACTA Differential Difference Current Conveyor Transconductance Amplifier (DDCCTA) based resistor tunable memristor emulator has been proposed in this work. The emulator can be used in both grounded and floating circumstances. The proposed design incorporates only one active block along with few passive components. Moreover, the circuit can operate in both incremental and decremental modes, by simply changing the input ports. The circuit demonstrates all the characteristics of an ideal memristor up to 6 MHz. The proposed model has been simulated using TSMC 0.18μm process parameter and occupies an area of 51 × 42.5 μm2 chip-area, excluding capacitor. The circuit's reliability has been verified by studying non-ideal, non-volatile, Monte-Carlo, process corner variation analysis. The circuit applicability has been tested through series/parallel combinations. To validate the experimental demonstration, AD844AN and CA3080 have been used to make a prototype, which shows good agreement with theoretical and simulation results.KEYWORDS: Memristor emulator (MRE)Current mode (CM)Differential difference current conveyor transconductance amplifier (DDCCTA)Pinched hysteresis loop (PHL) Disclosure statementNo potential conflict of interest was reported by the author(s).
  • Sarcasm Detection an Explainable AI Approach for Reddit Political Text
    Rupali Amit Bagate, Aparna Shashikant Joshi, Anup Kadam, Chandan Kumar Choubey, Nilesh Sable, Ajay Kumar, Namrata Dogra, Durgesh Nandan
    Mathematical Modelling of Engineering Problems, 2025
    Sentiment analysis, often known as opinion mining, determines how people feel about any subject.Sarcasm is the expression of irony or mocking through the use of derogatory language.These phrases change the polarity of a positive feeling into a bad one or the other way around.The focus of the proposed research is to implement a domain-oriented sarcasm detection model with a XAI approach to justify classification results.This strategy emphasizes on bringing value to domain-specific text using an explainable approach.The research referred to political domain content from Reddit platform to get insights in the area.It identifies sarcastic context from textual information present on social media.As a part of sentiment analysis and sarcasm detection natural language processing (NLP) plays important role.The suggested methodology is identifying sarcasm using weighted average approach of long short term memory (LSTM) and support vector classifier (SVC).implemented system has a fresh strategy to identify such sarcastic terms from sentences or forecast such sarcastic sentences.The suggested strategy used an Explainable Artificial Intelligence (XAI) approach to identify sarcasm in a specific political domain text.As a part of XAI, counterfactual explanation is implemented to identify the sarcastic words from given text which is given with more weightage by model while training the model.The system has generated 75.75% F1 score as result of weighted average approach.
  • A method to design a fast chaotic oscillator using CCTA
    Chandan Kumar Choubey, Aruna Pathak, Manoj Kumar Tiwari
    Methodsx, 2024
    This article introduces a novel method for designing a fast chaotic oscillator using a CCTA (Current Conveyor Transconductance Amplifier) based on Chua's circuit. The proposed method uses innovative configurations and advanced simulation techniques to overcome challenges in high-speed operation, nonlinear dynamics, and Analog Building Block (ABB) selection. The design begins with nonlinear negative resistance, essential for Chua's diode characteristics, including two negative resistances, NR1 and NR2. The circuit integrates one CCTA block, two grounded capacitors, two fixed resistors, one inductor, and one potentiometer. It is simulated using PSPICE with IC (Integrated Circuit) macro-models and 180nm CMOS (Complementary Metal Oxide Semiconductor) technology. Various chaotic waveforms and attractors are produced, validating the theoretical and mathematical predictions. By varying the resistance values (1450Ω, 1650Ω, 1800Ω, 1950Ω), the circuit exhibits different chaotic behaviors, such as large limit cycles, double-scroll attractors, Rossler-type attractors, and I-periodic attractors. FFT (Fast Fourier Transform) analysis confirms the highest dominant operating frequency of 37.5MHz. A Monte Carlo simulation with 100 runs shows maximum voltage variations in the chaotic waveforms of 5.21 % and 4.61 % across the capacitors, demonstrating robustness and reliability. This design offers significant advancements in implementing high-frequency chaotic oscillators, with potential applications in various fields requiring chaotic signal generation.•A novel design of Chua's diode and Chua's chaotic oscillator using only one CCTA block is presented in this paper.•The proposed chaotic oscillator achieves the highest operating frequency of 37.5MHz.•The proposed circuit is simulated using commercially available ICs (MAX435 and AD844) and CMOS 180nm technology in PSPICE to confirm its workability.
  • Design method for VDCC-based analog comb filter for power line interference cancellation
    Chandan Kumar Choubey, Sumit Kumar, Sanjeev Kumar Pippal
    Methodsx, 2024
    An analog comb filter is implemented by linking multiple VDCC-based notch filters in a cascading fashion (N in total), eliminating N different pole frequencies. This study focuses on suppressing a fundamental frequency of power-line interference of 50 Hz and its consecutive three odd harmonics at 150 Hz, 250 Hz, and 350 Hz. One significant advantage of this comb filter is the independent control over filters' parameters like quality factor and pole frequency. Additionally, these filters can be electronically tuned by adjusting the transconductance gain of VDCC. The suggested notch filter configuration involves 2 capacitors, 2 resistors, and 1 VDCC element. Extensive simulations were conducted using PSPICE simulator software to validate the effectiveness of these filters. The basic building block, VDCC, is designed and implemented in the simulation using integrated circuits MAX435 and AD844.•Design uses a VDCC-based high Q notch filter as the active building block.•The filter employs fewer active and passive components.•Simulated results using commercially available ICs, MAX435 and AD844, confirm the filter's practical utility.
  • Design of antipodal vivaldi antenna with patch and corrugations for 5G applications
    Sumit Kumar, Amruta S. Dixit, Chandan Kumar Choubey
    Methodsx, 2024
    A compact 1 × 4 antipodal Vivaldi antenna (AVA) array designed for 5 G applications is introduced in this study. An elliptical-shaped parasitic patch and corrugation are strategically employed to enhance gain and bandwidth, making it well-suited for 5 G applications. The resulting AVA array with corrugation and parasitic patch (AVA-PC) is designed and simulated on ANSYS HFSS, demonstrating a stable gain ranging from 10 dBi to 11.7 dBi over the frequency range of 23.45 GHz to 28.74 GHz. The antenna, with 25.8 mm x 22.4 mm x 0.5 mm dimensions, is implemented on Roger's RT/Duroid substrate 5880. •Design uses an antipodal Vivaldi antenna to build a 1 × 4 AVA.•The array employs corrugations and an elliptical patch as a performance enhancement technique.•Simulated results confirm the designed antenna's practical utility for 5 G applications in a band of 23.45 GHz to 28.74 GHz.
  • Enhancing Parking Efficiency and Mobility with IR-based Smart Parking Management System
    Priyanka Gupta, Navani Pendse, Chandan Kumar Choubey
    2024 8th International Conference on Computing Communication Control and Automation Iccubea 2024, 2024
    Urban mobility is severely hampered by the growing trend of urbanization and the population growth of vehicles, especially regarding parking spaces in crowded, busy areas. The suggested system uses cutting-edge technology like wireless communication, data analytics, and the Internet of Things to improve parking space utilization. With a more user-friendly user interface, this strategy seeks to improve urban transportation and reduce traffic. The "Smart Parking Management System" that is being suggested uses sensor nodes that are placed strategically across parking lots to collect data in real-time about parking spaces that are available and those that are occupied. Through communication between these sensors and a microcontroller, a network is created that continuously checks and updates the status of parking spaces. Users can access this information through a Telegram bot to remotely identify and reserve available parking spaces. The system creates a sustainable and user-friendly urban environment by streamlining traffic and allocating parking spaces optimally.
  • Efficient Illumination: Arduino-Based Street Light Automation for Energy Savings
    Dhairya A Mehra, Rutu B Bhanderi, Anushka Hegade, Chandan Kumar Choubey
    Proceedings of the 2024 International Conference on Emerging Techniques in Computational Intelligence Icetci 2024, 2024
    This research introduces an innovative Arduino-based solution to address energy wastage in street lighting, which activates lights autonomously in the presence of vehicles or pedestrians. The system, leveraging PIR sensors for vehicle detection and LDRs for day-night differentiation, dynamically adjusts LED brightness, ensuring optimal energy utilization. This dual-sensor approach extends the lifespan of street lamps and contributes to a more environmentally friendly urban landscape. The primary objective is to trigger and promote selective street lights, thereby promoting significant energy savings and cost reductions and a sustainable lighting infrastructure tailored to diverse community needs. This research addresses the imperative of resource conservation amid unprecedented population growth and escalating energy demand, offering a pioneering solution for metropolitan areas.
  • Performance Analysis of IoT-based Healthcare Monitoring System using Raspberry Pi
    Chandan Kumar Choubey, Prabhat Thakur, Idris Hussain, Devendra Deshalahre, Lay Chavda, Isha
    2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024, 2024
  • A design of bat-based optimized deep learning model for EEG signal analysis
    Varun Gupta, Abhas Kanungo, Pankaj Kumar, Neeraj Kumar, Chandan Choubey
    Multimedia Tools and Applications, 2023
  • Synthesis of Power Line Notch Filter in Wearable Biomedical Devices for Wireless Body Area Network
    Aruna Pathak, Chandan Kumar Choubey
    Mathematical Modelling of Engineering Problems, 2023
  • Design of an intelligent wavelet-based fuzzy adaptive PID control for brushless motor
    Abhas Kanungo, Chandan Choubey, Varun Gupta, Pankaj Kumar, Neeraj Kumar
    Multimedia Tools and Applications, 2023
  • Enhanced Palmprint Recognition via Curvi-Linear Anisotropic Gaussian Filter-Based Combined Differential Concavity and Infirmity Codes
    Pawan Dubey, Tirupathiraju Kanumuri, Ritesh Vyas, Keerty Venkata Sri Ramachandra Murthy, Chandan Kumar Choubey, Durgesh Nandan
    Traitement Du Signal, 2023
  • New Approach for Monitoring the Underground Coal Mines Atmosphere Using IoT Technology
    Abhishek Kumar Tripathi, Mangalpady Aruna, Sandeep Prasad, Jonnalagadda Pavan, Ramesh Kant, Chandan Kumar Choubey
    Instrumentation Mesure Metrologie, 2023
  • Systematic realisation of inductorless and resistorless Chua’s chaotic oscillator using VDGA
    Chandan Kumar Choubey, Sajal K. Paul
    International Journal of Electronics, 2023
  • PLI Cancellation from Biomedical Signals Using VDTA-Based Notch/Comb Filter
    Chandan Kumar Choubey, Anoosha Kanungo, Anshika Srivastava, Amit Gupta
    2023 3rd Asian Conference on Innovation in Technology Asiancon 2023, 2023
  • Internet Regulated ESP32 Cam Robot
    Kartikeya Verma, G.S. Charan, Anish Pande, Yassin Adam Abdalla, D Marshiana, Chandan Kumar Choubey
    2023 7th International Conference on Computing Communication Control and Automation Iccubea 2023, 2023
  • Nth order voltage-mode universal filter employing only plus type differential difference current conveyor
    Chandan Kumar Choubey, Sajal K. Paul
    Analog Integrated Circuits and Signal Processing, 2022
  • Implementation of chaotic oscillator by designing a simple Chua's diode using a single VDTA
    Chandan Kumar Choubey, Sajal K. Paul
    AEU International Journal of Electronics and Communications, 2020
  • Low power analog comb filter for biomedical applications
    Sajal K. Paul, Chandan Kumar Choubey, Gaurav Tiwari
    Analog Integrated Circuits and Signal Processing, 2018
  • Ultra-low power comb filter
    Chandan Kumar Choubey, Akanksha Sahani, Sajal K. Paul
    2016 IEEE International Conference on Advances in Electronics Communication and Computer Technology Icaecct 2016, 2016
  • CCII based multifunction inverse filter
    Chandan Kumar Choubey, Gaurav Tiwari, Sajal K. Paul
    2016 IEEE International Conference on Advances in Electronics Communication and Computer Technology Icaecct 2016, 2016
  • Comb Filter for Elimination of Unwanted Power Line Interference in Biomedical Signal
    Rajeev Kr. Ranjan, Chandan Kr. Choubey, Bal Chand Nagar, Sajal Kr. Paul
    Journal of Circuits Systems and Computers, 2016

RECENT SCHOLAR PUBLICATIONS

  • Reforming India’s Insolvency Regime: An Analytical Study of Recent Amendments to the IBC 2016
    C Choubey, V Gupta
    Seminars & Conferences , 2026
    2026
  • Liquidation as a Last Resort: Legal Framework and Practical Issues under the Insolvency and Bankruptcy Code, 2016: 2nd International Conference on Financial & Bankruptcy Scenerios
    C Choubey, V Gupta
    Seminars & Conferences , 2025
    2025
  • Enhancing Vegetable Crop Cultivation: Integrating Wireless Sensor Networks and Smartphone Applications for Efficient Irrigation Control
    C Choubey, N Chinthamu, P Padmaja, S Bhattacharya
    Technological Applications for Smart Sensors, 409-426 , 2025
    2025
  • Subordinate-6 GHz 5G network multiband MIMO antenna comparison architecture and performance evaluation
    A Kumar, S Kumar, K Rai, M Yadav, AK Singh, C Choubey
    Applications of Artificial Intelligence in 5G and Internet of Things, 374-379 , 2025
    2025
  • Optimizing Bioimaging: Quantum Computing-Inspired Bald Eagle Search Optimization for Motor Imaging EEG Feature Selection
    C Choubey, M Dhanalakshmi, S Karunakaran, GV Londhe, V Vimal, ...
    Clinical EEG and Neuroscience, 15500594251325273 , 2025
    2025
    Citations: 3
  • Design and investigation of compact backed mirror two-port MIMO antenna for n257 (30 GHz) 5G spectrum
    AK Singh, AK Dwivedi, C Choubey, V Singh
    Journal of Infrared, Millimeter, and Terahertz Waves 45 (5), 538-555 , 2024
    2024
    Citations: 13
  • Machine Learning Based Power Quality Enhancement System for Renewable Energy Sources
    C Choubey, K Ramesh, BLG P. Ravi Kumar, P Madan, R Bajaj, A Deepak, ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 2
  • Creating and deploying a wearable sensor network system for safety and health applications in the IoT ecosystem
    AS Gaikwad, C Choubey, GV Londhe, M Akurati, S Jangirala, B Ankaiah
    Challenges in Information, Communication and Computing Technology, 30-35 , 2024
    2024
    Citations: 1
  • A design of bat-based optimized deep learning model for EEG signal analysis
    V Gupta, A Kanungo, P Kumar, N Kumar, C Choubey
    Multimedia Tools and Applications 82 (29), 45367-45387 , 2023
    2023
    Citations: 13
  • Design of an intelligent wavelet-based fuzzy adaptive PID control for brushless motor
    A Kanungo, C Choubey, V Gupta, P Kumar, N Kumar
    Multimedia Tools and Applications 82 (21), 33203-33223 , 2023
    2023
    Citations: 25
  • Implementation of human robot interaction with motion planning and control parameters with autonomous systems in Industry 4.0
    G Chandramowleeswaran, C Choubey, S Pendem, S Pal, A Verma
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023
    Citations: 15
  • Tuning of LQR-PID controller to control parallel manipulator
    C Choubey, J Ohri
    Neural Computing and Applications 34 (4), 3283-3297 , 2022
    2022
    Citations: 37
  • GWO-BASED TUNING OF LQR–PID CONTROLLER FOR 3-DOF PARALLEL MANIPULATOR
    C Choubey, J Ohri
    International Journal of Robotics and Automation 37 (3), 248-256 , 2022
    2022
  • Optimized LQR-PID controller using squirrel search algorithm for trajectory tracking of a 6-DOF parallel manipulator
    C Choubey, J Ohri
    2021
    Citations: 2
  • Wi-Fi based fire extinguisher robot
    AH Laiq, BK Kaushal, M Kumar, C Choubey
    Journal of Physics: Conference Series 2062 (1), 012012 , 2021
    2021
    Citations: 3
  • Collaborative and Humanoid Robots
    JH Ortiz, R Vinjamuri
    BoD–Books on Demand , 2021
    2021
    Citations: 2
  • GWO-Based tuning of LQR-PID controller for a 3-DOF parallel manipulator
    C Choubey, J Ohri
    IETE Journal of Research 69 (7), 4378-4393 , 2021
    2021
    Citations: 18
  • Optimal Trajectory Generation of Parallel Manipulator
    C Choubey, J Ohri
    Collaborative and Humanoid Robots, 59 , 2021
    2021
  • Optimal Trajectory Generation for a 6-DOF Parallel Manipulator Using Grey Wolf Optimization Algorithm
    C Choubey, J Ohri
    Robotica, 1-17 , 2020
    2020
    Citations: 23
  • Parallel Manipulator control using different LQG tuning methods
    C Choubey, J Ohri
    2018 5th IEEE Uttar Pradesh Section International Conference on Electrical … , 2018
    2018
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Tuning of LQR-PID controller to control parallel manipulator
    C Choubey, J Ohri
    Neural Computing and Applications 34 (4), 3283-3297 , 2022
    2022
    Citations: 37
  • Design of an intelligent wavelet-based fuzzy adaptive PID control for brushless motor
    A Kanungo, C Choubey, V Gupta, P Kumar, N Kumar
    Multimedia Tools and Applications 82 (21), 33203-33223 , 2023
    2023
    Citations: 25
  • Optimal Trajectory Generation for a 6-DOF Parallel Manipulator Using Grey Wolf Optimization Algorithm
    C Choubey, J Ohri
    Robotica, 1-17 , 2020
    2020
    Citations: 23
  • GWO-Based tuning of LQR-PID controller for a 3-DOF parallel manipulator
    C Choubey, J Ohri
    IETE Journal of Research 69 (7), 4378-4393 , 2021
    2021
    Citations: 18
  • Implementation of human robot interaction with motion planning and control parameters with autonomous systems in Industry 4.0
    G Chandramowleeswaran, C Choubey, S Pendem, S Pal, A Verma
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023
    Citations: 15
  • Design and investigation of compact backed mirror two-port MIMO antenna for n257 (30 GHz) 5G spectrum
    AK Singh, AK Dwivedi, C Choubey, V Singh
    Journal of Infrared, Millimeter, and Terahertz Waves 45 (5), 538-555 , 2024
    2024
    Citations: 13
  • A design of bat-based optimized deep learning model for EEG signal analysis
    V Gupta, A Kanungo, P Kumar, N Kumar, C Choubey
    Multimedia Tools and Applications 82 (29), 45367-45387 , 2023
    2023
    Citations: 13
  • Optimizing Bioimaging: Quantum Computing-Inspired Bald Eagle Search Optimization for Motor Imaging EEG Feature Selection
    C Choubey, M Dhanalakshmi, S Karunakaran, GV Londhe, V Vimal, ...
    Clinical EEG and Neuroscience, 15500594251325273 , 2025
    2025
    Citations: 3
  • Wi-Fi based fire extinguisher robot
    AH Laiq, BK Kaushal, M Kumar, C Choubey
    Journal of Physics: Conference Series 2062 (1), 012012 , 2021
    2021
    Citations: 3
  • Machine Learning Based Power Quality Enhancement System for Renewable Energy Sources
    C Choubey, K Ramesh, BLG P. Ravi Kumar, P Madan, R Bajaj, A Deepak, ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 2
  • Optimized LQR-PID controller using squirrel search algorithm for trajectory tracking of a 6-DOF parallel manipulator
    C Choubey, J Ohri
    2021
    Citations: 2
  • Collaborative and Humanoid Robots
    JH Ortiz, R Vinjamuri
    BoD–Books on Demand , 2021
    2021
    Citations: 2
  • Parallel Manipulator control using different LQG tuning methods
    C Choubey, J Ohri
    2018 5th IEEE Uttar Pradesh Section International Conference on Electrical … , 2018
    2018
    Citations: 2
  • Creating and deploying a wearable sensor network system for safety and health applications in the IoT ecosystem
    AS Gaikwad, C Choubey, GV Londhe, M Akurati, S Jangirala, B Ankaiah
    Challenges in Information, Communication and Computing Technology, 30-35 , 2024
    2024
    Citations: 1
  • Reforming India’s Insolvency Regime: An Analytical Study of Recent Amendments to the IBC 2016
    C Choubey, V Gupta
    Seminars & Conferences , 2026
    2026
  • Liquidation as a Last Resort: Legal Framework and Practical Issues under the Insolvency and Bankruptcy Code, 2016: 2nd International Conference on Financial & Bankruptcy Scenerios
    C Choubey, V Gupta
    Seminars & Conferences , 2025
    2025
  • Enhancing Vegetable Crop Cultivation: Integrating Wireless Sensor Networks and Smartphone Applications for Efficient Irrigation Control
    C Choubey, N Chinthamu, P Padmaja, S Bhattacharya
    Technological Applications for Smart Sensors, 409-426 , 2025
    2025
  • Subordinate-6 GHz 5G network multiband MIMO antenna comparison architecture and performance evaluation
    A Kumar, S Kumar, K Rai, M Yadav, AK Singh, C Choubey
    Applications of Artificial Intelligence in 5G and Internet of Things, 374-379 , 2025
    2025
  • GWO-BASED TUNING OF LQR–PID CONTROLLER FOR 3-DOF PARALLEL MANIPULATOR
    C Choubey, J Ohri
    International Journal of Robotics and Automation 37 (3), 248-256 , 2022
    2022
  • Optimal Trajectory Generation of Parallel Manipulator
    C Choubey, J Ohri
    Collaborative and Humanoid Robots, 59 , 2021
    2021