RAPPY SAHA

email: r.saha.1@research.gla.ac.uk

Room 219,School of Computing Science, Sir Alwyn Williams Building,

Glasgow G12 8QN

 

ORCID iDhttps://orcid.org/0000-0001-9581-0193

Research title: Framework to optimize DNN model inference on FPGA

Research Summary

Currently, I am finding research questions in the field of efficient ML implementation targeting edge FPGA and MCU devices

Publications

 

ARTICLES:

  1. Lu, Y., Gao, C., Saha, R., Saha, S., McDonald-Maier, K.D., Zhai, X. (2022). FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics. In: Schulz, M., Trinitis, C., Papadopoulou, N., Pionteck, T. (eds) Architecture of Computing Systems. ARCS 2022. Lecture Notes in Computer Science, vol 13642. Springer, Cham. https://doi.org/10.1007/978-3-031-21867-5_5

  2. P. P. Banik, R. Saha, and K.-D. Kim, “An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell,” Expert Systems with Applications, vol. 149, p. 113211, Jul. 2020. doi: 10.1016/j.eswa.2020.113211

  3. R. Saha, P. P. Banik, S. S. Gupta, and K.-D. Kim, “Combining highlight removal and low-light image enhancement technique for HDR-like image generation,” IET Image Processing, vol. 14, no. 9, pp. 1851–1861, Mar. 2020, doi: 10.1049/iet-ipr.2019.1099

  4. P. P. Banik, R. Saha, and K.-D. Kim, “LED color prediction using a boosting neural network model for a visual-MIMO system,” Optics Communications, vol. 437, pp. 139–147, Apr. 2019, doi: 10.1016/j.optcom.2018.12.027

  5. R. Saha, P. P. Banik, and K.-D. Kim, “HLS Based Approach to Develop an Implementable HDR Algorithm,” Electronics, vol. 7, no. 11, Art. no. 11, Nov. 2018, doi: 10.3390/electronics7110332.

  6. P. P. Banik, R. Saha, and K.-D. Kim, “Regression analysis for LED color detection of visual-MIMO system,” Optics Communications, vol. 413, pp. 121–130, Apr. 2018, doi: 10.1016/j.optcom.2017.11.086

 

Conferences:

  1. C. Gao, S. Saha, Y. Lu, R. Saha, K. D. McDonald-Maier and X. Zhai, "Deep Learning on FPGAs with Multiple Service Levels for Edge Computing," 2022 27th International Conference on Automation and Computing (ICAC), 2022, pp. 1-6, doi: 10.1109/ICAC55051.2022.9911081.
  2. Lu, Y., Gao, C., Saha, R., Saha, S., McDonald-Maier, K.D., Zhai, X. (2022). FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics. In: Schulz, M., Trinitis, C., Papadopoulou, N., Pionteck, T. (eds) Architecture of Computing Systems. ARCS 2022. Lecture Notes in Computer Science, vol 13642. Springer, Cham. https://doi.org/10.1007/978-3-031-21867-5_5

  3. P. P. Banik, R. Saha, T.-H. Kwon, and K.-D. Kim, “Fusing Reflectance based LDR Images to Generate HDR Image,” in 2019 25th Asia-Pacific Conference on Communications (APCC), Nov. 2019, pp. 357–360,doi: 10.1109/APCC47188.2019.9026460

  4. R. Saha, P. P. Banik, and K.-D. Kim, “Low Dynamic Range Image Set Generation from Single Image,” in 2019 International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2019, pp. 1–3,doi: 10.23919/ELINFOCOM.2019.8706401

  5. P. P. Banik, R. Saha, T.-H. Kwon, and K.-D. Kim, “LED Color Detection of Visual-MIMO System Using Boosting Neural Network Algorithm,” in 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), Jul. 2018, pp. 685–688, doi: 10.1109/ICUFN.2018.8436957

  6. P. P. Banik, R. Saha and K. Kim, "Contrast enhancement of low-light image using histogram equalization and illumination adjustment," 2018 International Conference on Electronics, Information, and Communication (ICEIC), 2018, pp. 1-4, doi: 10.23919/ELINFOCOM.2018.8330564.
  7. P. P. Banik, R. Saha, and K.-D. Kim, “HDR image from single LDR image after removing highlight,” in 2018 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2018, pp. 1–4, doi: 10.1109/ICCE.2018.8326106

  8. R. Saha, P. P. Banik, and K.-D. Kim, “Conversion of LDR image to HDR-like image through high-level synthesis tool for FPGA implementation,” in 2018 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2018, pp. 1–2, doi: 10.1109/ICCE.2018.8326111

  9. P. P. Banik, R. Saha, and K.-D. Kim, “Improvement of Color Detection by Regression Analysis of Visual-MIMO System,” in 2017 IEEE Globecom Workshops (GC Wkshps), Dec. 2017, pp. 1–4, doi: 10.1109/GLOCOMW.2017.8269141

  10. R. Saha and K.-D. Kim, “Add weighted algorithm based on the PICA and RBF neural network for image fusion,” in 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), Feb. 2017, pp. 784–787, doi: 10.1109/ECACE.2017.7913009

  11. R. Saha, Jai-Eun Kim, and Ki-Doo Kim, “Determination of threshold for IR image by using PICA with RBF neural network,” in 2017 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2017, pp. 223–224. doi: 10.1109/ICCE.2017.7889292

 

Supervisors