Dr. Tinku Singh

Postdoctoral Researcher, Chungbuk National University, Cheongju, South Korea
Ph.D. Indian Institute of Information Technology, Allahabad, India
Email: tinkuinbox@gmail.com / rsi2018006@iiita.ac.in
Google Scholar ORCID ID Reserach Gate LinkedIn Linkedin

Brief Biography

My name is Tinku Singh and I am currently working as a Postdoctoral Researcher at Chungbuk National University, Cheongju, South Korea. I completed my Master of Computer Applications (MCA) in 2007 from Uttar Pradesh Technical University Lucknow, Master’s in Technology (M.Tech) in Computer Science and Engineering from Maharshi Dayanand University, Rohtak, Haryana, India and Ph.D. from the Indian Institute of Information Technology Allahabad (IIITA), India in 2023. I have 09 years (2007 - 2014 and 2016 - 2018) of teaching experience in different engineering colleges.

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.

Professional Experience

  1. Worked as a Senior Research Fellow (SRF) at Indian Institute of Information Technology Allahabad, India from August 2020 to June 2023.
  2. Worked as a Junior Research Fellow (JRF) at Indian Institute of Information Technology Allahabad, India from August 2018 to July 2020.
  3. Worked as an Assistant Professor at JP Institute of Engineering and Technology, Meerut, Uttar Pradesh India from August 2011 to July 2018.
  4. Worked as an Assistant Professor at G. L. BAJAJ Institute of Technology and Management Gr. Noida, Uttar Pradesh India from August 2007 to July 2011.

Publications

Journal:

  1. Kumar Manish, Tinku Singh, Manish Maurya, Anubhav Shivhare, Ashwin Raut and Pramod Kumar Singh. “Quality Assessment and Monitoring of River Water Using IoT Infrastructure.” IoT Journal, IEEE (2023). [SCIE indexed, IF: 10.238] 
  2. Mishra, Suryanshi, Tinku Singh, Satakshi, and Manish Kumar. “Multivariate time series short term forecasting using cumulative data of coronavirus.” Evolving Systems, Springer, 1 - 18 (2023). [SCI indexed, IF: 2.347]
  3. Singh, Tinku, Ayush Sinha, Satakshi, O. P. Vyas and Manish Kumar. “Distributed hyperparameter optimization based multivariate time series forecasting” Multimedia Tool and Applications, Springer (2023). [SCIE indexed, IF: 2.557] 
  4. Singh, Tinku, Riya Khanna, Satakshi and Manish Kumar. “Improved multi-class classification approach for imbalanced big data on spark.” The Journal of Supercomputing, Springer (2022): 1-29 [SCI indexed, IF: 2.557]
  5. Singh, Tinku, Riya Kalra, Suryanshi Mishra, Satakshi and Manish Kumar. “An Efficient Real-Time Stock Prediction Exploiting Incremental Learning and Deep Learning.” Evolving Systems, Springer (2022). [SCI indexed, IF: 2.347]
  6. Singh, Tinku, Nikhil Sharma, Satakshi and Manish Kumar. “Analysis and Forecasting of Air Quality Index based on Satellite Data.” Inhalation Toxicology, Taylor & Francis 35 (1-2), 1-17, (2022). [SCIE indexed, IF: 3.011] 
  7. Singh, Tinku, Vinarm Rajput, Umesh Prasad, Satakshi and Manish Kumar. “Real-time traffic light violations using distributed streaming.” The Journal of Supercomputing, Springer (2022): 1-29 [SCI indexed, IF: 2.557]
  8. Singh, Tinku, Shivam Gupta, Satakshi and Manish Kumar. “Adaptive load balancing in cluster computing environment.” The Journal of Supercomputing, Springer (2023): 1-29 [SCI indexed, IF: 2.557]
  9. Singh, Tinku, Vinarm Rajput, Nikhil Sharma, Satakshi, and Manish Kumar. “Distributed Alternating Least Square based Item Recommendations.” under review in Multimedia Tool and Applications, Springer. [SCIE indexed, IF: 2.557]

Conference:

  1. Singh, Tinku, Shivam Gupta, Satakshi and Manish Kumar, “Performance Analysis and Deployment of Partitioning Strategies in Apache Spark", 7th International Conference on Machine Learning and Data Engineering, September 07-08, 2022 UPES, Dehradun, India. [Scopus]
  2. Singh, Tinku, Vinarm Rajput, Nikhil Sharma, Satakshi and Manish Kumar, “Distributed Item Recommendation using Sentiment Analysis”, 3rd International Conference on Data Science and Applications (ICDSA 2022), March 26-27, 2022, Jadavpur University, Kolkata, India. [Scopus]
  3. Singh, Tinku, Vinarm Rajput, Nikhil Sharma, Suryanshi Mishra, Satakshi and Manish Kumar, “Air Quality Analysis During COVID-19 Utilizing Satellite Data”, 2nd International Conference on Intelligent Technologies (CONIT), Karnataka, India. June 24-26, 2022. [Scopus]
  4. Mishra, Suryanshi, Tinku Singh, Manish Kumar and Satakshi, “COVID-19 Short Term Forecasting Using LSTM”, 3rd International Conference on Recent Innovative Trends in Computer Science and Applications (ICRITCSA-2022), Bangalore, Karnataka, India, India, May 6-7, 2022. [Scopus]
  5. Singh, Tinku, Siddhant Bhisikar, Satakshi and Manish Kumar, “Stock Market Prediction Using Ensemble Learning and Sentimental Analysis”, 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, December 11-12, 2021, National Institute of Technology, Raipur, Chhattisgarh, India.[Scopus]
  6. Aysush Sinha Tinku Singh, Ranjana Vyas, Manish Kumar and O.P. Vyas., “A Methodological review of Time Series Forecasting with Deep Learning Model : A Case study on Electricity Load and Price Prediction”, 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, December 11-12, 2021, National Institute of Technology, Raipur, Chhattisgarh, India. [Scopus]
  7. Singh, Tinku, Riya Khanna, Satakshi Singh and Manish Kumar, “Multiclass Imbalanced Big Data Classification Utilizing Spark Cluster”, 12th ICCCNT 2021, July 6 - 8, 2021, Indian Institute of Technology - Kharagpur, Kharagpur, West Bengal, India. [Scopus]
  8. Singh, Tinku, Siddhant Bhisikar, Satakshi Singh and Manish Kumar, “Fingerprint Identification using Modified Capsule Network”, 12th ICCCNT 2021, July 6 - 8, 2021, Indian Institute of Technology - Kharagpur, Kharagpur, West Bengal, India. [Scopus]
  9. Singh, Tinku, Manish Kumar et al., “Food Recommendation System using Neural Collaborative Filtering and Sentiment Analysis”, International Conference on Advancement in Interdisciplinary Research, July 24-26, 2020. [Scopus]
  10. Singh, Tinku, Durgesh Srivastava and Alok Aggarwal, “A Novel approach for CPU utilization on a multicore paradigm using parallel quicksort”, 3rd IEEE International Conference on Computational Intelligence and Communication Technology 2017. [Scopus]
  11. Singh, Tinku, Durgesh Kumar Srivastava. Article: “Threshold Analysis and Comparison of Sequential and Parallel Divide and Conquer Sorting Algorithms”. International Journal of Computer Applications (0975 – 8887) Volume 145 – No.10, July 2016. [Scopus]
  12. Singh Ishwari, Tinku Singh and Bhawnesh Kumar, “Performance Comparison of Sequential Quick Sort and Parallel Quick Sort Algorithms”. International Journal of Computer Applications 57(9):14-22, November 2012.

Book Authored:

  1. Tinku Singh, and Shraddha Porwal. “Computer Applications in Management.” January, 2010. (published by A. B. Publication, New Delhi, ISBN: 8190736442)
  2. Tinku Singh, and Madhu Gaur. “Dot Net Technology.” January, 2010. (published by Anand Publication, Meerut, India)

Achievements


  1. Qualified for Brain Korea-21 Fellowship from National Research Foundation of Korea (NRF), South Korea - 2023
  2. Qualified Graduate Aptitude Test in Engineering (GATE) - 2018.
  3. Qualified for Assistant Professor in National Eligibility Test (NET) - 2017 conducted by University Grants Commission (UGC), India.
  4. Qualified for Post Graduate Teacher (PGT) in Army Welfare Education Society (AWES) - 2016.

Professional Activities

Invited Talks/ Hands-on Sessions:

  1. “Hands-on session on Hadoop MR/Spark based mining”, CSIR and DST Sponsored Workshop on "Machine Learning and Data Analytics (MLDA-2022)", 20 June - 29 June, 2022 jointly organized by IIIT Allahabad, India & Victoria University, Melbourne, Australia. (Online Mode)
  2. “Hands-on session on Hadoop and Data Streaming”, self-financed FDP on “Research Directions in Machine Learning and Big Data Analytics”, 29 August -02 September 2022, United College of Engineering and Research Allahabad, U.P., India.
  3. “Hands-on session on Hadoop MR/Spark based mining”, CSIR and DST Sponsored Workshop on "Machine Learning and Data Analytics (MLDA-2022)", 20 June - 29 June, 2022 jointly organized by IIIT Allahabad, India & Victoria University, Melbourne, Australia. (Online Mode)
  4. “Hands-on session on Time Series Data Analysis for Stock Market Data", ATAL AICTE Sponsored FDP on "Application areas of Data Analytics", 23 October – 27 October, 2021 IIIT, Allahabad. (Online Mode)
  5. “MapReduce Framework and Apache Spark”, Self-financed Workshop on “Big Data Technologies”, 21 - 25 June, 2021, Tula's Institute (The Engineering & Management College) Dhoolkot, Dehradun. (Online Mode)
  6. “Hands-on session on Big Data Analytics (MR, Spark)", CSIR and DST Sponsored Workshop on "Machine Learning and Data Analytics (MLDA-2021)", 28 May - 11 June, 2021 IIIT, Allahabad. (Online Mode)
  7. “Hands-on session on NoSQL and MongoDB”, self-financed FDP on “Big Data Technologies and Challenges”, 22 - 26 Feb., 2021, United College of Engineering and Research Allahabad, U.P., India.

Events organized/attended:

  1. Participated in “Indain Symposium on Machine Learning” 15th to 17th December 2022, at Indian Institute of Technology, GandhiNagar, India.
  2. Participated in “Faculty Development Programme on Application Areas of Data Analytics” 23rd to 27th October 2021, at Indian Institute of Information Technology, Allahabad, India.
  3. Participated in “Faculty Development Programme on Data Science for IoT” 9th to 13th October 2020, at Indian Institute of Information Technology, Allahabad, India.
  4. Participated in “Workshop on Time Series Data Analysis” 28th to 29th Aug 2020, at Indian Institute of Information Technology, Allahabad, India.
  5. Participated in “Faculty Development Programme on Data Sciences” 8th to 12th November 2019, at Indian Institute of Information Technology, Allahabad, India.
  6. Attended the 3rd IEEE conference on “Information & Communication Technology (IEEE CICT 2019)”, 6th to 8th December 2019 at Indian Institute of Information Technology, Allahabad, India.
  7. Participated in “International Conference ON Machine Intelligence and Signal Processing (MISP – 2019)” 7th to 10th September 2019, at Indian Institute of Information Technology, Allahabad, India.
  8. Participated in “3rd Workshop on Machine Learning & Data Analytics” 25th to 31st May 2019, at Indian Institute of Information Technology, Allahabad, India.

Projects/Research assignments:

  1. Implementation of Smart Card operating system for AKS AMITY SOFTWARE, Noida, India.
  2. Developed a project “Online Skill Calculator” front end as Asp.net Backend as SQL server having the features: Conduction of online test series, Evaluation of answers sheets, creation of customize test series.
  3. Developed a portal “Online Attendance Manager” in ASP.Net to maintain daily attendance and reports of student.