Guru Ghasidas Vishwavidyalaya
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Prof. Alok Kumar Singh Kushwaha

Professor & Head

Work Experience

16 Years

Area of Specialization

• Image Processing, Computer Vision, Pattern Classification, Video Surveillance.
• Artificial Intelligence, Machine Learning, Deep Learning, and Related fields.
• Medical Image Processing and Pattern Recognition, Algorithms.

Projects & Patents

Successfully completed one year UGC Sponsored Project “Development of an Intelligent Video Surveillance System for Human Behaviour Analysis” under Grant No. F.No.36-246/2008 (SR) From Central University of Allahabad".
Successfully completed one year UGC Sponsored Project "An AI Powered Surveillance system for livestock behaviour detection in real-time and analytical insights generation software suite - Principle Investigator Funding Agency: Ministry of Electronics and Information Technology, Govt. of India Grant Received: 5.75 Lacs"

    Patents
  1. 1. Indian Patent Published:- Theft Vehicle detection using digital signature based ECU and Image Processing, Patent Number: 202021025200.

  2. 2. Indian Patent Published:- An Unmanned Aerial Vehicle For Surveillance, Patent Number 202021045472.

  3. 3.Indian Patent Published- An Artificial Intelligence And Machine Learning Based Automatic Penalty Device and Its Method .

  4. 4.Indian Patent Published:- DEVELOPMENT OF AI-ENABLE SMART DRIP WATER IRRIGATIONSYSTEM USING IOT, Patent Number: 202021025200 .

  5. 5.Indian Patent Published:- DEVELOPMENT OF SCENE PERCEPTION SYSTEM FOR VISUALLYIMPAIRED PEOPLE USING IOT BASED SYSTEM, Patent Number: 202211018032.

Education

Ph.D. in Computer Science and Engineering Course CGPA- 9.5 out of 10 From IIT (BHU), Varanasi, India

Achievments/Awards/Honors

Received the honor of being named as guest editor for two renowned SCI journals: i) Multimedia Tools and Application, Springer (SCI Impact Factor: 2.77) ii) Computer Material and Continua (SCI Impact Factor: 3.96)

Publications

  1. 1. Chandni and M. Sachdeva, Alok Kumar Singh Kushwaha " IRNetv: A deep learning framework for automated brain tumor diagnosis " Biomedical Signal Processing and Control, Elesvier, Volume 87, ,(2023) https://doi.org/10.1016/j.bspc.2023.105459. [SCI Impact Factor – 5.1]

  2. 2. Chandni and M. Sachdeva, Alok Kumar Singh Kushwaha, "The power of deep learning for intelligent tumor classification systems: A review", Computers and Electrical Engineering, Elesvier, Volume 106,108586,ISSN 0045-7906, ,(2023) https://doi.org/10.1016/j.compeleceng.2023.108586. [SCI Impact Factor – 4.1].

  3. 3.Chandni, M. Sachdeva, and Alok Kumar Singh Kushwaha “Deep learning for tumour malignancy detection and classification”, Advances and Applications in Mathematical Sciences, Mili, vol. 21, no. 10, pp. 5769-5778, (Aug. 2022)

  4. 4. Chandni, Sachdeva, M. and Alok Kumar Singh Kushwaha ,“Effective Brain Tumor Image Classification using Deep Learning”. National Academy Science Letters, Springer. (2023). https://doi.org/10.1007/s40009-023-01309-9. [SCI Impact Factor – 0.53].

  5. 5. Ankit Kumar, Kamred Udham Singh, Mukesh Kumar Singh, Alok Kumar Singh Kushwaha, Abhishek Kumar, Shambhu Mahato, "Design and Fabrication of Solar Dryer System for Food Preservation of Vegetables or Fruit", Journal of Food Quality, Wiley-Blackwell vol. (2022), Article ID 6564933, 14 pages, 2022. [SCI Impact Factor – 3.20]

  6. 6. Alok Kumar Singh Kushwaha, Jagwinder, Roshan Singh, Rajeev Srivastava “Depth based Enlarged Temporal Dimension of 3D deep Convolutional Network for Activity Recognition”, Multimedia Tools and Applications, Springer, pp. 30599– 30614, 2019. https://link.springer.com/article/10.1007%2Fs11042-018- 6425-3 (Published) [SCI Impact Factor – 1.53]

  7. 7. Alok Kumar Singh Kushwaha, Roshan Singh, and Rajeev Srivastava, “Multi-View Human Activity Recognition System Based on Multiple Features for Video Surveillance System”, Multimedia Tools and Applications, Springer, pp. 17165– 17196, 2019. https://link.springer.com/article/10.1007%2Fs11042-018- 7108-9 (Published) [SCI Impact Factor – 1.53]

  8. 8. Alok Kumar Singh Kushwaha, Roshan Singh, and Rajeev Srivastava, “Combining CNN Streams of Dynamic Image and Depth Data for Action Recognition in Real Time”, Multimedia System, Springer, pp. 313–322, 2020 https://link.springer.com/article/10.1007/s00530-019-00645-5?shared-article-renderer (Published)[SCI Impact Factor – 2.01]

  9. 9. Alok Kumar Singh Kushwaha, Roshan Singh, and Rajeev Srivastava, “A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging, Vol 9, 20 https://doi.org/10.1080/21681163.2020.1805798 (Published) [SCI Impact Factor - 1.08 ]

  10. 10. Alok Kumar Singh Kushwaha, Neeraj Varshney, Brijesh Bakariya, , Manish Khare, “Rulebased Multi-view human activity recognition system in Real time using skeleton data from RGB-D Sensor”, Soft Computing, 2021 https://doi.org/10.1007/s00500-021-05649-w (Published)[SCI Impact Factor – 3.050]