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Name : Dr. Rishav Singh
Designation : Assistant Professor
Department : Department of Architecture
Qualification : PhD(IIT-ISM, dhanbad)
Phone : +011-33861126 (O)
Email ID : rishav.singh@nitdelhi.ac.in

Position Held

Industry

Infosys Limited, Senior Member - Education Training and Assessment (June 2011 to May 2017)

Academics

Bennett University, Assistant Professor (June 2017 December 2019)

Qualification-fdjk

  • PHD IN COMPUTER SCIENCE ENGINEERING, Indian Institute of Technology - Indian School of Mines Dhanbad, Jharkhand, (2013-2017)

  • M.TECH IN COMPUTER SCIENCE AND ENGINEERING, Jaypee University of Information Technology Solan, Himachal Pradesh, (2009 - 2011) 

  • B.TECH IN COMPUTER SCIENCE AND ENGINEERING, C V Raman College of Engineering, Biju Patnaik University of Technology Bhubaneshwar, Orissa, (2005 - 2009) 

  • INTERMEDIATE, C.B.S.E - Rajkamal Saraswati Vidya Mandir Dhanbad, Jharkhand , (2005) 

  • HIGH SCHOOL, I.C.S.E - De-Nobili School Dhanbad, Jharkhand, (2003)

Awards & Honors

Research

Patent

  1. "A method and system for identifying cattle by combining unique identification of owner and cattle", Published, (Application No. - 201711032865)
  2. "A Biometric Based System and Method For Management of Pet Animal", Published, (Application No. - 202011003639)
  3. "A Biometric Based Method And System for Identifying an Infant", Filed,(Application No. - 201911008955)

Administration

Publications

Journals

  1. Srivastava, A., Badal, T., Garg, A., Vidyarthi, A. and Singh, R., 2021. Recognizing human violent action using drone surveillance within real-time proximity. Journal of Real-Time Image Processing, pp.1-13.
  2. Singh, R., Bharti, V., Purohit, V., Kumar, A., Singh, A.K. and Singh, S.K., 2021. MetaMed: Few-shot medical image classification using gradient-based meta-learning. Pattern Recognition, p.108111.
  3. Singh, R., Ahmed, T., Singh, A.K., Chanak, P. and Singh, S.K., 2020. SeizSClas: An Efficient and Secure Internet-of-Things-Based EEG Classifier. IEEE Internet of Things Journal8(8), pp.6214-6221.
  4. Ahmed, T., Singh, R., Pandey, A.K. and Singh, S.K., 2020. A cognitive model to predict human interest in smart environments. Computer Communications161, pp.1-9.
  5. Sharma, A., Singh, S.K., Udmale, S.S., Singh, A.K. and Singh, R., 2020. Early transportation mode detection using smartphone sensing data. IEEE Sensors Journal.
  6. Singh, R., Ahmed, T., Kumar, A., Singh, A.K., Pandey, A.K. and Singh, S.K., 2020. Imbalanced breast cancer classification using transfer learning. IEEE/ACM transactions on computational biology and bioinformatics18(1), pp.83-93.
  7. Udmale, S.S., Singh, S.K., Singh, R. and Sangaiah, A.K., 2019. Multi-fault bearing classification using sensors and ConvNet-based transfer learning approach. IEEE Sensors Journal.
  8. Singh, R., Ahmed, T., Singh, R., Udmale, S.S. and Singh, S.K., 2019. Identifying tiny faces in thermal images using transfer learning. Journal of Ambient Intelligence and Humanized Computing, pp.1-10.
  9. Li, J., Singh, R. and Singh, R., 2017. A novel large-scale multimedia image data classification algorithm based on mapping assisted deep neural network. Multimedia Tools and Applications76(18), pp.18687-18710.
  10. Singh, R. and Om, H., 2017. Newborn face recognition using deep convolutional neural network. Multimedia Tools and Applications76(18), pp.19005-19015.
  11. Singh, R. and Om, H., 2017. (Two-Dimensional) 2 whitening reconstruction for newborn recognition. Multimedia Tools and Applications76(3), pp.3471-3483.
  12. Singh, R. and Om, H., 2016. Illumination invariant face recognition of newborn using single gallery image. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences86(3), pp.371-376.

Book Chapter

  1. Singh, R., Ahmed, T., Singh, R., and Tiwari, S., 2020. Heart Rate Monitoring System using Internet of Things, Book IoT-Based Data Analytics for the Healthcare Industry. Academic Press, November, 2020.
  2. Ahmed, T.,Singh, R.and Verma, R., 2020. Designing an effective e-healthcare system using Internet of Things, Book IoT-Based Data Analytics for the Healthcare Industry. Academic Press, November, 2020.
  3. Sharma, A., Kumar, A., Pandey, A.K. and Singh, R., 2020. Time Series Data Representation and Dimensionality Reduction Techniques. In Applications of Machine Learning (pp. 267-284). Springer, Singapore.

Book

  1. Kumar, S., Singh, S.K., Singh, R. and Singh, A.K., 2018. Animal Biometrics: Techniques and Applications. Springer.

Conference

  1. Rastogi, V., Srivastava, S., Prakash, C. and Singh, R., 2020, December. Transfer Learning Based COVID-19 Patient Classification. In International Conference on Computer Vision and Image Processing (pp. 387-397). Springer, Singapore.
  2. Singh, R. and Om, H., 2016. Pose invariant face Recognition for new born: machine learning approach. In Computational Intelligence in Data Mining—Volume 1 (pp. 29-37). Springer, New Delhi.
  3. Singh, R. and Om, H., 2013, December. An overview of face recognition in an unconstrained environment. In 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013) (pp. 672-677). IEEE.
  4. Singh, M. and Singh, R., 2012, December. Load Testing of web frameworks. In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (pp. 592-596). IEEE.

Expert Talks

Workshops/FDP/Seminar delivered

 

  1. NITD, “Supervised Linear Regression and Classification: Hands-On Session”, Machine Learning Frontiers in Healthcare, 27 July, 2021
  2. Srinivasa Ramanujan Institute of technology, “Supervised Machine Learning”One-Week Online Short Term Training Programme (STTP), Machine Learning - Recent Trends and Applications”, 07 June, 2021
  3. IIT-BHU, Short Term Course on Data Analytics and Predictive Technologies, National Mission on Interdisciplinary Cyber-Physical Systems (NMICPS), July 05-10, 2021
  4. ICAI, “Workshop on Deep Learning - Bridging the Gap from theoretical to Practical”, Organized by AIFoundation, 22-23, May, 2021
  5. IIT-Indore, 1st Indian Workshop on Artificial Intelligence (iWAI) 2021, 25 March 2021
  6. IIT-BHU, QIP short term course on Data Analytics and Predictive Technology driven IoT based Smart Grid Infrastructure, 1 March 2021
  7. IIT-BHU, QIP short term course on IoT-enabled 5G Networks: Infrastructure and Security, 25 January, 2021
  8. IIT-BHU, AICTE sponsored QIP short term course on IoT and Its Applications, 25 & 29 December 2020
  9. IIT-BHU, QIP Online Short Term Course on Data Analytics and Its Application to Industries,16 December 2020
  10. BHU, DPR development workshop under UGC STRIDE Scheme, 17 January, 2020
  11. Rani Lakshmi Bai Central Agricultural University, Jhansi, Scientific Consultative Group Meeting on “Artificial Intelligence and Smart Agriculture for Prosperous Bundelkhand” on March 6, 2020 8. IIT-BHU, Lectures on Hadoop Stack in QIP-STC on High Performance Computing and Data Engineering, 28-29 June, 2019
  12. SSTC(Bhilai), 5 Day Workshop on Machine Learning and Deep Learning for Computer Vision Application, 6-10 March 2019
  13. JIIT Noida, Big Data in Computer Graphics and Computer Vision, 20 - 22 December 2018
  14. GIMT (Guwahati), 3 Day Workshop on Bigdata Analytics using Hadoop,6 - 8 September 2018
  15. ABESIT (Ghaziabad), FDP on “Aritificial Intelligence and Machine Learning: Interdisciplinary Approach for Application”, 12 - 16 June 2018 
  16. BIT (Durg), Keynote speaker for BITCON, 15 February 2018
  17. Bennett University, 5 Day Workshop on “Big Data Analytics & Deep Learning”, 16 - 20 December 2017
  18. Galgotia University (Noida), Technical Seminar on Data Science, 20 February 2017
  19. University Institute of Engineering and Technology (Kurukshetra University), Panel Discussion, 4 February
    2017
  20. PEC (Chandigarh), Technical Seminar on Big Data, 29 September 2016 
  21. Punjabi University (Patiala), Technical Seminar on NoSQL, 30 June 2016
  22. Chandigarh College of Engineering and Technology (Chandigarh), 5 Day FDP on Big Data and Analytics, 21-25 October 2015
  23. Karunya University (Coimbatore), Webinar Session on Big Data, 27 August 2015
  24. NITTTR(Chandigarh), Big Data Analytics and Cloud Computing, 25 June 2015
  25. SSTC(Bhilai), 2 Days Workshop on Big Data Analytics with Hadoop, 13 -14 February 2015

 

Professional Activities

Selection Committee Member

Membership

Membership

  1. IEEE
  2. ACM