Tinku Singh

@cbnu.ac.kr

Postdoctoral Researcher at School of Information and Communication Engineering
Chungbuk National University

Tinku Singh


                        Download Compact PDF  
https://researchid.co/tinkuinbox
My name is Tinku Singh and I am currently working as a Postdoctoral Researcher at Chungbuk National University, Cheongju, South Korea. I completed the Master’s in Technology (M.Tech) in Computer Science and Engineering in 2016 from Maharshi Dayanand University, Rohtak, Haryana, India and Ph.D. from the Indian Institute of Information Technology Allahabad (IIITA), India in 2023.
The potential of machine learning and deep learning algorithms in solving problems from different areas has always intrigued me, so I follow this as a research area of interest. I have published papers in international journals, conferences and pre-print servers. My main research includes Big data analytics, Machine learning, and Deep learning in different domains. I have also gained outreach experience in delivering tutorial sessions, hands-on sessions and organizing several workshops and conferences on international platforms.

EDUCATION

PhD from Indian Institute of Information Technology, Allahabad India

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Artificial Intelligence
31

Scopus Publications

450

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Automatic Detection of Parkinson Disease Through Various Machine Learning Models
    HS Negi, B Kumar, M Diwakar, P Singh, T Singh, IS Rajput
    Machine Learning and Deep Learning Modeling and Algorithms with Applications … , 2025
    2025
    Citations: 3
  • Enhancing Traffic Management in Smart Cities: A Federated Learning Approach for Traffic Light Violation Detection
    T Singh, M Kundroo, S Kim, T Kim
    HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 15 , 2025
    2025
  • Lazy learning and sparsity handling in recommendation systems.
    S Mishra, T Singh, M Kumar
    Knowledge & Information Systems 66 (12), 7775 , 2024
    2024
    Citations: 4
  • An efficient hybrid approach for forecasting real-time stock market indices
    R Kalra, T Singh, S Mishra, N Kumar, T Kim, M Kumar
    Journal of King Saud University-Computer and Information Sciences 36 (8), 102180 , 2024
    2024
    Citations: 28
  • COVID-19 severity detection using chest X-ray segmentation and deep learning
    T Singh, S Mishra, R Kalra, Satakshi, M Kumar, T Kim
    Scientific Reports 14 (1), 19846 , 2024
    2024
    Citations: 33
  • Sentiment analysis based distributed recommendation system
    T Singh, V Rajput, N Sharma, Satakshi, M Kumar
    Multimedia Tools and Applications 83 (25), 66539-66563 , 2024
    2024
    Citations: 7
  • Multivariate time series short term forecasting using cumulative data of coronavirus
    S Mishra, T Singh, M Kumar, Satakshi
    Evolving Systems 15 (3), 811-828 , 2024
    2024
    Citations: 16
  • WSN-driven advances in soil moisture estimation: A machine learning approach
    T Singh, M Kundroo, T Kim
    Electronics 13 (8), 1590 , 2024
    2024
    Citations: 29
  • Water Quality Monitoring on Streaming Data
    B Kumar, T Singh, A Kumar, N Kumar
    Computology: Journal of Applied Computer Science and Intelligent … , 2024
    2024
    Citations: 4
  • Distributed hyperparameter optimization based multivariate time series forecasting
    T Singh, A Sinha, S Singh, OP Vyas, M Kumar
    Multimedia Tools and Applications 83 (2), 5031-5053 , 2024
    2024
    Citations: 3
  • An efficient real-time stock prediction exploiting incremental learning and deep learning
    T Singh, R Kalra, S Mishra, Satakshi, M Kumar
    Evolving Systems 14 (6), 919-937 , 2023
    2023
    Citations: 61
  • Adaptive load balancing in cluster computing environment: T. Singh et al.
    T Singh, S Gupta, Satakshi, M Kumar
    The Journal of Supercomputing 79 (17), 20179-20207 , 2023
    2023
    Citations: 2
  • Real-time traffic light violations using distributed streaming: T. Singh et al.
    T Singh, V Rajput, Satakshi, U Prasad, M Kumar
    The Journal of Supercomputing 79 (7), 7533-7559 , 2023
    2023
    Citations: 20
  • Improved multi-class classification approach for imbalanced big data on spark: T. Singh et al.
    T Singh, R Khanna, Satakshi, M Kumar
    The Journal of Supercomputing 79 (6), 6583-6611 , 2023
    2023
    Citations: 19
  • Analysis and forecasting of air quality index based on satellite data
    T Singh, N Sharma, Satakshi, M Kumar
    Inhalation Toxicology 35 (1-2), 24-39 , 2023
    2023
    Citations: 19
  • Quality assessment and monitoring of river water using IoT infrastructure
    M Kumar, T Singh, MK Maurya, A Shivhare, A Raut, PK Singh
    IEEE Internet of Things Journal 10 (12), 10280-10290 , 2023
    2023
    Citations: 79
  • Analysis and forecasting of air quality index based on satellite data
    SMK T. Singh, N. Sharma
    Inhalation Toxicology 35 (1-2), 1-17 , 2023
    2023
  • A study on machine learning-based water quality assessment and wastewater treatment
    S Singh, S Mishra, T Singh, S Thakur
    Artificial Intelligence Applications in Water Treatment and Water Resource … , 2023
    2023
    Citations: 2
  • A methodological review of Time Series forecasting with Deep Learning Model: a Case Study on Electricity load and price prediction
    A Sinha, T Singh, R Vyas, M Kumar, OP Vyas
    Machine Learning, Image Processing, Network Security and Data Sciences … , 2023
    2023
    Citations: 5
  • Stock market prediction using ensemble learning and sentimental analysis
    T Singh, S Bhisikar, Satakshi, M Kumar
    Machine Learning, Image Processing, Network Security and Data Sciences … , 2023
    2023
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Quality assessment and monitoring of river water using IoT infrastructure
    M Kumar, T Singh, MK Maurya, A Shivhare, A Raut, PK Singh
    IEEE Internet of Things Journal 10 (12), 10280-10290 , 2023
    2023
    Citations: 79
  • An efficient real-time stock prediction exploiting incremental learning and deep learning
    T Singh, R Kalra, S Mishra, Satakshi, M Kumar
    Evolving Systems 14 (6), 919-937 , 2023
    2023
    Citations: 61
  • A novel approach for CPU utilization on a multicore paradigm using parallel quicksort
    T Singh, DK Srivastava, A Aggarwal
    2017 3rd International Conference on Computational Intelligence … , 2017
    2017
    Citations: 39
  • COVID-19 severity detection using chest X-ray segmentation and deep learning
    T Singh, S Mishra, R Kalra, Satakshi, M Kumar, T Kim
    Scientific Reports 14 (1), 19846 , 2024
    2024
    Citations: 33
  • WSN-driven advances in soil moisture estimation: A machine learning approach
    T Singh, M Kundroo, T Kim
    Electronics 13 (8), 1590 , 2024
    2024
    Citations: 29
  • An efficient hybrid approach for forecasting real-time stock market indices
    R Kalra, T Singh, S Mishra, N Kumar, T Kim, M Kumar
    Journal of King Saud University-Computer and Information Sciences 36 (8), 102180 , 2024
    2024
    Citations: 28
  • Performance comparison of sequential quick sort and parallel quick sort algorithms
    I Rajput
    International Journal of Computer Applications , 2012
    2012
    Citations: 27
  • Real-time traffic light violations using distributed streaming: T. Singh et al.
    T Singh, V Rajput, Satakshi, U Prasad, M Kumar
    The Journal of Supercomputing 79 (7), 7533-7559 , 2023
    2023
    Citations: 20
  • Improved multi-class classification approach for imbalanced big data on spark: T. Singh et al.
    T Singh, R Khanna, Satakshi, M Kumar
    The Journal of Supercomputing 79 (6), 6583-6611 , 2023
    2023
    Citations: 19
  • Analysis and forecasting of air quality index based on satellite data
    T Singh, N Sharma, Satakshi, M Kumar
    Inhalation Toxicology 35 (1-2), 24-39 , 2023
    2023
    Citations: 19
  • Multivariate time series short term forecasting using cumulative data of coronavirus
    S Mishra, T Singh, M Kumar, Satakshi
    Evolving Systems 15 (3), 811-828 , 2024
    2024
    Citations: 16
  • Performance Analysis and Deployment of Partitioning Strategies in Apache Spark
    T Singh, S Gupta, Satakshi, M Kumar
    7th International Conference on Machine Learning and Data Engineering … , 2022
    2022
    Citations: 16
  • Fingerprint identification using modified capsule network
    T Singh, S Bhisikar, M Kumar
    2021 12th International conference on computing communication and networking … , 2021
    2021
    Citations: 11
  • Multiclass imbalanced big data classification utilizing spark cluster
    T Singh, R Khanna, M Kumar
    2021 12th International Conference on Computing Communication and Networking … , 2021
    2021
    Citations: 8
  • Sentiment analysis based distributed recommendation system
    T Singh, V Rajput, N Sharma, Satakshi, M Kumar
    Multimedia Tools and Applications 83 (25), 66539-66563 , 2024
    2024
    Citations: 7
  • A methodological review of Time Series forecasting with Deep Learning Model: a Case Study on Electricity load and price prediction
    A Sinha, T Singh, R Vyas, M Kumar, OP Vyas
    Machine Learning, Image Processing, Network Security and Data Sciences … , 2023
    2023
    Citations: 5
  • Threshold Analysis and Comparison of Sequential and Parallel Divide and Conquer Sorting Algorithms
    T Singh, DK Srivastava
    International Journal of Computer Applications 145 (10), 0975-8887 , 2016
    2016
    Citations: 5
  • Lazy learning and sparsity handling in recommendation systems.
    S Mishra, T Singh, M Kumar
    Knowledge & Information Systems 66 (12), 7775 , 2024
    2024
    Citations: 4
  • Water Quality Monitoring on Streaming Data
    B Kumar, T Singh, A Kumar, N Kumar
    Computology: Journal of Applied Computer Science and Intelligent … , 2024
    2024
    Citations: 4
  • Stock market prediction using ensemble learning and sentimental analysis
    T Singh, S Bhisikar, Satakshi, M Kumar
    Machine Learning, Image Processing, Network Security and Data Sciences … , 2023
    2023
    Citations: 4