Chanki Pandey

@nitk.ac.in

Teaching Assistant / M. Tech. Scholar at Department of Electronics and Communication Engineering
National Institute of Technology Karnataka

Chanki Pandey


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https://researchid.co/chankipandeysri
Chanki Pandey is a highly motivated and dedicated engineer with a passion for exploring cutting-edge technologies and finding solutions to real-world problems. A recent B.Tech graduate from GEC Jagdalpur, he is currently pursuing his M.Tech at National Institute of Technology Surathkal, where he is diving deeper into his research interests in electronics, VLSI design, machine learning, deep learning, and image processing.

With 17 research papers published in reputed journals and conferences and a patent to his name, Chanki is already making a significant impact in his field. He is particularly proud of receiving the "Best Research Paper Presentation Award" at the 4th ICCE-2020 organized by KIET Group of Institutions Delhi-NCR Ghaziabad, India. This recognition has further fueled his motivation to continue his research journey and strive for even greater achievements.

Chanki's technical expertise, combined with his passion for finding innovative solutions, makes him a valuable asset t

EDUCATION

National Institute of Technology Karnataka Surathkal
Master of Technology- MTech (VLSI Design)
Department of Electronics and Communications Engineering
2021-2023


Government Engineering College, Jadalpur, CG, India
Bachelor of Technology - BTech
Department of Electronics and Telecommunications Engineering
2017-2021


Chavara Hr Sec School Kondagaon ,Bastar,CG-India
CBSE- 12th
Mathematics
2016- 2017

RESEARCH INTERESTS

My interest of research areas are Electronics, VLSI, Bio-photonics, Signal Processing, Machine Learning, Image Processing, and Deep Learning.
14

Scopus Publications

390

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • An Efficient AI-Based Classification of Semiconductor Wafer Defects using an Optimized CNN Model
    Chanki Pandey, Kalpana G Bhat
    2023 IEEE IAS Global Conference on Emerging Technologies Globconet 2023, 2023
    Wafer maps used to display defect patterns in the integrated circuits industry include crucial information that quality engineers may utilize to identify the cause of a defect and increase yield. In this paper, we put forth a framework for accurately and quickly categorizing semiconductor wafer faults utilizing particularly CNN-based models. This paper seeks to provide a scalable, adaptive, and user-friendly implementation of convolutional neural networks for applications classifying semiconductor defects. In categorizing the defects found on semiconductor wafers, the suggested CNN model obtained an accuracy of 90.50% & 92.28% and losses of 0.39 & 0.29 while performing the training and validation, respectively, along with the misclassification rate of 0.0772. The suggested model also learns rapidly on the validation set at a rate of 1e-03 per second. The proposed custom CNN model architecture incorporates only two convolution layers, resulting in a greatly reduced number of parameter weights and biases. Specifically, the number of parameters is only 44000, which makes the model more compact, cost-effective, and robust against random noise. Moreover, this model can function well under low power and processing limits.
  • Convolutional Neural Network-Enabling Speech Command Recognition
    Ankita Patra, Chanki Pandey, Karthikeyan Palaniappan, Prabira Kumar Sethy
    Lecture Notes on Data Engineering and Communications Technologies, 2023
  • Futuristic AI convergence of megatrends: IoT and cloud computing
    Chanki Pandey, Yogesh Kumar Sahu, Nithiyananthan Kannan, Md Rashid Mahmood, Prabira Kumar Sethy, Santi Kumari Behera
    Ambient Intelligence and Internet of Things Convergent Technologies, 2022
    Recent years have seen increasing curiosity among users in migrating their cloud computing and internet-of-things apps. Cloud-based and internet-of-things infrastructures require specialized hardware to enable software and advanced management strategies to improve performance. Adaptability and autonomous learning capabilities are highly valuable in facilitating the configuration and complex transition of these infrastructures to customers’ changing demands and designing adaptable applications. This capacity to self-adapt is increasingly essential, particularly for nonexpert managers and autonomous device applications. Cloud Networking (CN) and the Internet of Things (IoT) have arisen as modern outlets for the ICT movement of the 21st century. In this paper, we carry out a survey of nearly 183 articles on which the latest methodologies have been applied. Also, we discuss the proposed approaches and the reported advantages and limitations. The goal of this survey paper is to offer a brief idea to researchers working in this area. In order to consider the present and future challenges of such a framework, it is important to recognize critical innovations that will allow future implementations. This article examines how three new paradigms (cloud computing, IoT, and artificial intelligence) can affect workspace and business. Also, we describe a range of innovations that propel these paradigms and encourage experts to address the current state and perspective directions.
  • Hyperspectral imagery applications for precision agriculture - a systemic survey
    Prabira Kumar Sethy, Chanki Pandey, Yogesh Kumar Sahu, Santi Kumari Behera
    Multimedia Tools and Applications, 2022
  • Smart agriculture: Technological advancements on agriculture-A systematical review
    Chanki Pandey, Prabira Kumar Sethy, Santi Kumari Behera, Jaya Vishwakarma, Vishal Tande
    Deep Learning for Sustainable Agriculture, 2022
  • Speech quality evaluation for different pitch detection algorithms in LPC speech analysis–synthesis system
    Sandeep Kumar, Sneha Singh, Prabhakar Agarwal, Upendra Kumar Acharya, Prabira Kumar Sethy, Chanki Pandey
    International Journal of Speech Technology, 2021
  • A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors
    Sharad Chandra Rajpoot, Chanki Pandey, Prashant Singh Rajpoot, Sanjay Kumar Singhai, Prabira Kumar Sethy
    Journal of Electrical Engineering and Technology, 2021
  • Smart paddy field monitoring system using deep learning and IoT
    Prabira Kumar Sethy, Santi Kumari Behera, Nithiyakanthan Kannan, Sridevi Narayanan, Chanki Pandey
    Concurrent Engineering Research and Applications, 2021
    Paddy is an essential nutrient worldwide. Rice gives 21% of worldwide human per capita energy and 15% of per capita protein. Asia represented 60% of the worldwide populace, about 92% of the world’s rice creation, and 90% of worldwide rice utilization. With the increase in population, the demand for rice is increased. So, the productivity of farming is needed to be enhanced by introducing new technology. Deep learning and IoT are hot topics for research in various fields. This paper suggested a setup comprising deep learning and IoT for monitoring of paddy field remotely. The vgg16 pre-trained network is considered for the identification of paddy leaf diseases and nitrogen status estimation. Here, two strategies are carried out to identify images: transfer learning and deep feature extraction. The deep feature extraction approach is combined with a support vector machine (SVM) to classify images. The transfer learning approach of vgg16 for identifying four types of leaf diseases and prediction of nitrogen status results in 79.86% and 84.88% accuracy. Again, the deep features of Vgg16 and SVM results for identifying four types of leaf diseases and prediction of nitrogen status have achieved an accuracy of 97.31% and 99.02%, respectively. Besides, a framework is suggested for monitoring of paddy field remotely based on IoT and deep learning. The suggested prototype’s superiority is that it controls temperature and humidity like the state-of-the-art and can monitor the additional two aspects, such as detecting nitrogen status and diseases.
  • Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison
    Prabira Kumar Sethy, Santi Kumari Behera, Komma Anitha, Chanki Pandey, M.R. Khan
    Journal of X Ray Science and Technology, 2021
    The objective of this study is to conduct a critical analysis to investigate and compare a group of computer aid screening methods of COVID-19 using chest X-ray images and computed tomography (CT) images. The computer aid screening method includes deep feature extraction, transfer learning, and machine learning image classification approach. The deep feature extraction and transfer learning method considered 13 pre-trained CNN models. The machine learning approach includes three sets of handcrafted features and three classifiers. The pre-trained CNN models include AlexNet, GoogleNet, VGG16, VGG19, Densenet201, Resnet18, Resnet50, Resnet101, Inceptionv3, Inceptionresnetv2, Xception, MobileNetv2 and ShuffleNet. The handcrafted features are GLCM, LBP & HOG, and machine learning based classifiers are KNN, SVM & Naive Bayes. In addition, the different paradigms of classifiers are also analyzed. Overall, the comparative analysis is carried out in 65 classification models, i.e., 13 in deep feature extraction, 13 in transfer learning, and 39 in the machine learning approaches. Finally, all classification models perform better when applying to the chest X-ray image set as comparing to the use of CT scan image set. Among 65 classification models, the VGG19 with SVM achieved the highest accuracy of 99.81%when applying to the chest X-ray images. In conclusion, the findings of this analysis study are beneficial for the researchers who are working towards designing computer aid tools for screening COVID-19 infection diseases.
  • A cost-effective computer-vision based breast cancer diagnosis
    Prabira Kumar Sethy, Chanki Pandey, Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar, Sibarama Panigrahi
    Journal of Intelligent and Fuzzy Systems, 2021
    In the last decade, there have been extensive reports of world health organization (WHO) on breast cancer. About 2.1 million women are affected every year and it is the second most leading cause of cancer death in women. Initial detection and diagnosis of cancer appreciably increase the chance of saving lives and reduce treatment costs. In this paper, we perform a survey of the techniques utilized in breast cancer detection and diagnosis in image processing, machine learning (ML), and deep learning (DL). We also proposed a novel computer-vision based cost-effective method for breast cancer detection and diagnosis. Along with the detection and diagnosis of breast cancer, our proposed method is capable of finding the exact position of the abnormality present in the breast that will help in breast-conserving surgery or partial mastectomy. The proposed method is the simplest and cost-effective approach that has produced highly accurate and useful outcomes when compared with the existing approach.
  • Evaluation of Transfer Learning Model for Mango Recognition
    Chanki Pandey, Prabira Kumar Sethy, Santi Kumari Behera, Sharad Chandra Rajpoot, Bitti Pandey, Preesat Biswas, Millee Panigrahi
    Smart Innovation Systems and Technologies, 2021
  • Minimum Time Delay and More Efficient Image Filtering Brain Tumour Detection with the help of MATLAB
    Yogesh Kumar Sahu, Chanki Pandey, Preesat Biswas, M.R. Khan, Shanti Rathore
    Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
  • Algorithm Design Simulation Performance Analysis of MIMO GMSK System for Radio Communication on AWGN Channel
    Preesat Biswas, Chanki Pandey, Ashish Kumar Thakur, M.R. Khan, Shanti Rathore
    Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
  • Quality Evaluation of Pomegranate Fruit using Image Processing Techniques
    Chanki Pandey, Prabira Kumar Sethy, Preesat Biswas, Santi Kumari Behera, M.R. Khan
    Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020

RECENT SCHOLAR PUBLICATIONS

  • An efficient ai-based classification of semiconductor wafer defects using an optimized cnn model
    C Pandey, KG Bhat
    2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 1-9 , 2023
    2023
    Citations: 3
  • Design and Implementation of an FPGA-Based CNN Model for Semiconductor Wafer Defect Classification
    C Pandey
    National Institute of Technology Karnataka, Surathkal, India , 2023
    2023
  • Love's Spectrum: A Mosaic of Emotions: The collection of love poems
    C Pandey
    https://www.amazon.com/dp/B0BTNSKCQT/ref=tmm_pap_swatch_0?_encoding=UTF8&qid … , 2023
    2023
  • Futuristic AI Convergence of Megatrends: IoT and cloud computing
    C Pandey, YK Sahu, N Kannan, MR Mahmood, PK Sethy, SK Behera
    Ambient Intelligence and Internet of Things: Convergent Technologies, 125-188 , 2022
    2022
    Citations: 2
  • Convolutional neural network-enabling speech command recognition
    A Patra, C Pandey, K Palaniappan, PK Sethy
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2022
    2022
    Citations: 6
  • Hyperspectral imagery applications for precision agriculture: a systemic survey
    C Pandey, YK Sahu, PK Sethy, SK Behera
    Data analytics, computational statistics, and operations research for … , 2022
    2022
    Citations: 133
  • Hyperspectral Imagery
    C Pandey, YK Sahu, PK Sethy, SK Behera
    Data Analytics, Computational Statistics, and Operations Research for … , 2022
    2022
  • Smart agriculture: Technological advancements on agriculture—A systematical review
    C Pandey, PK Sethy, SK Behera, J Vishwakarma, V Tande
    Deep learning for sustainable agriculture, 1-56 , 2022
    2022
    Citations: 38
  • Hyperspectral imagery applications for precision agriculture-a systemic survey
    PK Sethy, C Pandey, YK Sahu, SK Behera
    Multimedia Tools and Applications 81 (2), 3005-3038 , 2022
    2022
  • Speech quality evaluation for different pitch detection algorithms in LPC speech analysis–synthesis system
    S Kumar, S Singh, P Agarwal, UK Acharya, PK Sethy, C Pandey
    International Journal of Speech Technology 24 (3), 545-551 , 2021
    2021
    Citations: 5
  • A dynamic-SUGPDS model for faults detection and isolation of underground power cable based on detection and isolation algorithm and smart sensors
    SC Rajpoot, C Pandey, PS Rajpoot, SK Singhai, PK Sethy
    Journal of Electrical Engineering & Technology 16 (4), 1799-1819 , 2021
    2021
    Citations: 18
  • An automated chilli yield estimation approach based on image processing
    C Pandey, J Vishwakarma, MR Khan, SC Rajpoot, PK Sethy, BB Nayak, ...
    Recent Trends in Communication and Electronics, 24-28 , 2021
    2021
    Citations: 1
  • Block chain: IoT security, privacy and resource challenges
    PK Sethy, C Pandey, MR Khan, SK Behera, SC Rajpoot
    Recent Trends in Communication and Electronics, 199-203 , 2021
    2021
  • Evaluation of Transfer Learning Model for Mango Recognition
    C Pandey, PK Sethy, SK Behera, SC Rajpoot, B Pandey, P Biswas, ...
    Intelligent Manufacturing and Energy Sustainability. Smart Innovation … , 2021
    2021
    Citations: 4
  • Smart paddy field monitoring system using deep learning and IoT
    PK Sethy, SK Behera, N Kannan, S Narayanan, C Pandey
    Concurrent Engineering: Research and Applications, 1-9 , 2021
    2021
    Citations: 59
  • Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison
    PK Sethy, SK Behera, K Anitha, C Pandey, MR Khan
    Journal of X-Ray Science and Technology, 1-14 , 2021
    2021
    Citations: 39
  • A cost-effective computer-vision based breast cancer diagnosis
    PK Sethy, C Pandey, DMR Khan, SK Behera, K Vijaykumar, D Panigrahi
    Journal of Intelligent & Fuzzy Systems, 1-11 , 2021
    2021
    Citations: 37
  • n4riceleaf: An Android/Web Based Application to Estimate Nitrogen Concentration in Rice Crop
    PK Sethy, C Pandey, SK Behera, SC Rajpoot
    AU Patent 2,020,102,343 , 2020
    2020
  • Computer Aid Screening of COVID19 using X-ray and CT Scan Images: A Comparative Study
    PK Sethy, C Pandey, SK Behera
    https://www.preprints.org/manuscript/202008.0472/v1 , 2020
    2020
  • Algorithm Design Simulation Performance Analysis of MIMO GMSK System for Radio Communication on AWGN Channel
    P Biswas, C Pandey, AK Thakur, MR Khan, S Rathore
    2020 International Conference on Communication and Signal Processing (ICCSP … , 2020
    2020
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Hyperspectral imagery applications for precision agriculture: a systemic survey
    C Pandey, YK Sahu, PK Sethy, SK Behera
    Data analytics, computational statistics, and operations research for … , 2022
    2022
    Citations: 133
  • Smart paddy field monitoring system using deep learning and IoT
    PK Sethy, SK Behera, N Kannan, S Narayanan, C Pandey
    Concurrent Engineering: Research and Applications, 1-9 , 2021
    2021
    Citations: 59
  • Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison
    PK Sethy, SK Behera, K Anitha, C Pandey, MR Khan
    Journal of X-Ray Science and Technology, 1-14 , 2021
    2021
    Citations: 39
  • Smart agriculture: Technological advancements on agriculture—A systematical review
    C Pandey, PK Sethy, SK Behera, J Vishwakarma, V Tande
    Deep learning for sustainable agriculture, 1-56 , 2022
    2022
    Citations: 38
  • A cost-effective computer-vision based breast cancer diagnosis
    PK Sethy, C Pandey, DMR Khan, SK Behera, K Vijaykumar, D Panigrahi
    Journal of Intelligent & Fuzzy Systems, 1-11 , 2021
    2021
    Citations: 37
  • A dynamic-SUGPDS model for faults detection and isolation of underground power cable based on detection and isolation algorithm and smart sensors
    SC Rajpoot, C Pandey, PS Rajpoot, SK Singhai, PK Sethy
    Journal of Electrical Engineering & Technology 16 (4), 1799-1819 , 2021
    2021
    Citations: 18
  • Minimum Time Delay and More Efficient Image Filtering Brain Tumour Detection with the help of MATLAB
    YK Sahu, C Pandey, P Biswas, MR Khan, S Rathore
    2020 International Conference on Communication and Signal Processing (ICCSP … , 2020
    2020
    Citations: 16
  • Algorithm Design Simulation Performance Analysis of MIMO GMSK System for Radio Communication on AWGN Channel
    P Biswas, C Pandey, AK Thakur, MR Khan, S Rathore
    2020 International Conference on Communication and Signal Processing (ICCSP … , 2020
    2020
    Citations: 13
  • Quality Evaluation of Pomegranate Fruit using Image Processing Techniques
    C Pandey, PK Sethy, P Biswas, SK Behera, MR Khan
    2020 International Conference on Communication and Signal Processing (ICCSP … , 2020
    2020
    Citations: 12
  • Convolutional neural network-enabling speech command recognition
    A Patra, C Pandey, K Palaniappan, PK Sethy
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2022
    2022
    Citations: 6
  • Speech quality evaluation for different pitch detection algorithms in LPC speech analysis–synthesis system
    S Kumar, S Singh, P Agarwal, UK Acharya, PK Sethy, C Pandey
    International Journal of Speech Technology 24 (3), 545-551 , 2021
    2021
    Citations: 5
  • Evaluation of Transfer Learning Model for Mango Recognition
    C Pandey, PK Sethy, SK Behera, SC Rajpoot, B Pandey, P Biswas, ...
    Intelligent Manufacturing and Energy Sustainability. Smart Innovation … , 2021
    2021
    Citations: 4
  • Intelligent paddy field monitoring system using deep learning and IoT
    P Sethy, S Behera, C Pandey, S Narayanand
    Concurrent Engineering Research and Applications , 2020
    2020
    Citations: 4
  • An efficient ai-based classification of semiconductor wafer defects using an optimized cnn model
    C Pandey, KG Bhat
    2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 1-9 , 2023
    2023
    Citations: 3
  • Futuristic AI Convergence of Megatrends: IoT and cloud computing
    C Pandey, YK Sahu, N Kannan, MR Mahmood, PK Sethy, SK Behera
    Ambient Intelligence and Internet of Things: Convergent Technologies, 125-188 , 2022
    2022
    Citations: 2
  • An automated chilli yield estimation approach based on image processing
    C Pandey, J Vishwakarma, MR Khan, SC Rajpoot, PK Sethy, BB Nayak, ...
    Recent Trends in Communication and Electronics, 24-28 , 2021
    2021
    Citations: 1
  • Design and Implementation of an FPGA-Based CNN Model for Semiconductor Wafer Defect Classification
    C Pandey
    National Institute of Technology Karnataka, Surathkal, India , 2023
    2023
  • Love's Spectrum: A Mosaic of Emotions: The collection of love poems
    C Pandey
    https://www.amazon.com/dp/B0BTNSKCQT/ref=tmm_pap_swatch_0?_encoding=UTF8&qid … , 2023
    2023
  • Hyperspectral Imagery
    C Pandey, YK Sahu, PK Sethy, SK Behera
    Data Analytics, Computational Statistics, and Operations Research for … , 2022
    2022
  • Hyperspectral imagery applications for precision agriculture-a systemic survey
    PK Sethy, C Pandey, YK Sahu, SK Behera
    Multimedia Tools and Applications 81 (2), 3005-3038 , 2022
    2022