Dr. Satya Prakash Sahu

Department Information Technology
Designation Associate Professor
Educational Qualification B.E.(CSE), M.Tech.(CSE), PhD
E-Mail spsahu.it@nitrr.ac.in, spsahu.it@gmail.com
Contact Number 09329173783
Areas of Interest

Artificial Intelligence, Computer Vision, Digital Image Processing,  Soft Computing and Medical Imaging.

Publications

Internatioal Peer Reviewed Journals (SCI/ESCI/SCOPUS):  

  1.  Satya  Verma Satya Prakash  Sahu  & Tirath Prasad  Sahu (2024), Wavelet decomposition-based multi-stage feature engineering and optimized ensemble classifier for stock market prediction, The Engineering Economist, pp 01 - 26, https://doi.org/10.1080/0013791X.2024.2328526   

  2.  Mandle, A.K., Sahu, S.P. & Gupta, G.P.(2024), WSSOA: whale social spider optimization algorithm for brain tumor classification using deep learning technique. International Journal of Information Technology. pp 01 - 17,  https://doi.org/10.1007/s41870-024-01782-5

  3. Deepak Kumar Dewangan, Satya Prakash Sahu, Karm Veer Arya (2024), Vision-Sensor Enabled Multi-Layer CNN Scheme and Impact Analysis of Learning Rate Parameter for Speed Bump Detection in Autonomous Vehicle System, pp 01- 04, IEEE Sensors Letters,  doi: 10.1109/LSENS.2024.3360095.

  4. Sneha Agrawal, Satya Prakash Sahu (2024), Image-based Parkinson disease detection using deep transfer learning and optimization algorithm, International Journal of Information Technology, vol. 16, issue. 02, pp 871 - 879.    https://doi.org/10.1007/s41870-023-01601-3

  5. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Portfolio management using Additive Ratio Assessment based stock selection and deep learning for prediction, International Journal of Information Technology, vol. 15, issue. 08, pp 4055 - 4062.  https://doi.org/10.1007/s41870-023-01493-3

  6. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting, Computational Economics, pp. 1 - 32.   https://doi.org/10.1007/s10614-023-10400-8   

  7. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), MCSO: Levy’s Flight Guided Modified Chicken Swarm Optimization, IETE Journal of Research, pp. 1-15.       https://doi.org/10.1080/03772063.2023.2194265

  8. Singh, L., Janghel, R.R. and Sahu, S.P. (2023), A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection, Data Technologies and Applications, vol. 51, issue. 1, pp. 1-17.  https://doi.org/10.1108/DTA-10-2021-0296.

  9. Deepak Kumar Dewangan, Satya Prakash Sahu (2023), Lane detectio in intelligent vehicle system using optimal 2-tier deep convolutional neural network. Multimedia Tools and Applications, vol. 82, issue. 5, pp. 7293-7317.  https://doi.org/10.1007/s11042-022-13425-7  

  10. Arun Kumar Dey, Govind P. Gupta, Satya Prakash Sahu (2023), A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks. Decision Analytics Journal, 100206. https://doi.org/10.1016/j.dajour.2023.100206 

  11. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Stock Market Forecasting with Different Input Indicators using Machine Learning and Deep Learning Techniques: A Review, Engineering Letters,  vol. 31, issue. 1, pp. 1-17.  https://www.engineeringletters.com/issues_v31/issue_1/EL_31_1_22.pdf

  12. Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), Discrete Wavelet Transform-based feature engineering for stock market prediction, International Journal of Information Technology, vol. 15, pp. 1179–1188 (2023). https://doi.org/10.1007/s41870-023-01157-2

  13. Dewangan, Kranti Kumar, Satya Prakash Sahu, and Rekhram Janghel (2022), Enhanced deep learning frame model for an accurate segmentation of cancer affected part in breast. Concurrency and Computation: Practice and Experience, vol. 34, issue. 28, paper. e7379. https://doi.org/10.1002/cpe.7379

  14. Deepak Kumar Dewangan, Satya Prakash Sahu (2022), Optimized Convolutional Neural Network for Road Detection with Structured Contour and Spatial Information. International Journal of Pattern Recognition and Artificial Intelligence, 36(06), p.2252002.  https://doi.org/10.1142/S0218001422520024 

  15. Lokesh Singh, Rekh Ram Janghel & Satya Prakash Sahu (2022), An Empirical Review on Evaluating the Impact of Image Segmentation on the Classification Performance for Skin Lesion Detection, IETE Technical Review, https://doi.org/10.1080/02564602.2022.2068681

  16. Sahu SP, Londhe ND, Verma S, et al. (2022), False positives reduction in pulmonary nodule detection using a connected component analysis based approach, International Journal of Biomedical Engineering and Technology, vol. 39, no. 2, pp 131-148.   https://www.inderscienceonline.com/doi/abs/10.1504/IJBET.2022.124015 

  17. Mandle A. K, Sahu S. P, Gupta G. (2022),  Brain Tumor Segmentation and Classification in MRI using Clustering and Kernel-Based SVM. Biomedical and Pharmacology Journal, 2022;15(2) pp 699-716.  https://dx.doi.org/10.13005/bpj/2409.

  18. Deepak Kumar Dewangan, Satya Prakash Sahu (2022), Towards the design of vision-based intelligent vehicle system: methodologies and challenges. Evolutionary Intelligence. https://doi.org/10.1007/s12065-022-00713-2 

  19. Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, Rekhram Janghel (2022), Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique. Multimedia Tools and Applications, vol. 81, no. 10, pp 13935-13960. https://doi.org/10.1007/s11042-022-12385-2

  20. Mandle, A. K., Sahu, S. P., & Gupta, G. P. (2022), CNN-Based Deep Learning Technique for the Brain Tumor Identification and Classification in MRI Images. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-20. http://doi.org/10.4018/IJSSCI.304438

  21. Sahu, Satya Prakash, B. Ramachandra Reddy, Dev Mukherjee, D. M. Shyamla, and Bhim Singh Verma (2022), A hybrid approach to software fault prediction using genetic programming and ensemble learning methods. International Journal of System Assurance Engineering and Management (2022): 1-15. https://doi.org/10.1007/s13198-021-01532-x

  22. Sahu, S. P., Londhe, N. D., & Verma, S. (2022), Pulmonary nodule detection in CT images using optimal multilevel thresholds and rule-based filtering. IETE Journal of Research, 68(1) pp. 265-282. DOI: 10.1080/03772063.2019.1603084

  23. Singh, Lokesh, Rekh Ram Janghel, Satya Prakash Sahu (2022), A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection. International Journal of Imaging Systems and Technology, vol. 32, no. 4, pp 1231-1250. https://doi.org/10.1002/ima.22692

  24. Singh, Lokesh, Rekh Ram Janghel, Satya Prakash Sahu (2021), "A Deep Learning-Based Transfer Learning Framework for the Early Detection and Classification of Dermoscopic Images of Melanoma." Biomedical and Pharmacology Journal 14.3 (2021): 1231-1247.  https://dx.doi.org/10.13005/bpj/2225

  25. Dewangan, D. K., Sahu, S. P., Sairam, B., & Agrawal, A. (2021), VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation. Computing, 130(12), pp. 2867-2892. https://doi.org/10.1007/s00607-021-00974-2

  26. Singh, L, Janghel, RR, Sahu, SP. (2021), SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation. International Journal of Imaging Systems and Technology 31(4), pp. 1817-1833. https://doi.org/10.1002/ima.22591

  27. Dewangan, D.K., Sahu, S.P. (2021),  RCNet: road classification convolutional neural networks for intelligent vehicle system. Intelligent Service Robotics 14(2), pp. 199–214. https://doi.org/10.1007/s11370-020-00343-6

  28. Dewangan, D.K. and Sahu, S.P. (2021),  PotNet: Pothole detection for autonomous vehicle system using convolutional neural network. Electronics Letters., 57(2) 53-56.  https://doi.org/10.1049/ell2.12062

  29. Sahu, SP, Londhe, ND, Verma, S, Singh, BK, Banchhor, SK. (2021),  Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm. International Journal of Imaging Systems and Technology, 31(3), pp. 1503-1518.   https://doi.org/10.1002/ima.22539

  30. D. K. Dewangan and S. P. Sahu (2021), "Driving Behavior Analysis of Intelligent Vehicle System for Lane Detection Using Vision-Sensor," in IEEE Sensors Journal, vol. 21, no. 5, pp. 6367-6375, 1 March1, 2021, doi: 10.1109/JSEN.2020.3037340.

  31. Singh, L., Janghel, R.R. and Sahu, S.P. (2021), "TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning", Data Technologies and Applications, Vol. 55 No. 1, pp. 64-81. https://doi.org/10.1108/DTA-06-2020-0126

  32. D. K. Dewangan and S. P. Sahu (2021), "Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi," in IEEE Sensors Journal, vol. 21, no. 3, pp. 3570-3578, 1 Feb.1, 2021, doi: 10.1109/JSEN.2020.3027097.

  33. Sahu, S. P., Agrawal, P., & Londhe, N. D. (2017),  A new hybrid approach using fuzzy clustering and morphological operations for lung segmentation in thoracic CT images. Biomedical and Pharmacology Journal10(4), 1949-1961. https://dx.doi.org/10.13005/bpj/1315

  34. Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, (2017). An Automated System for the Detection of Lung Cancer in CT data at Early Stages: Review. International Journal of Control Theory and Applications 10(18):133-144.

 

International Conference Proceedings /Book Chapters: 

  1.  Monica Ramchandani, Satya Prakash Sahu, Deepak Dewangan (2024), “Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems.” In: Kumar, A., Mozar, S. (eds) Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering, ICCCE 2024. Lecture Notes in Electrical Engineering, vol 1096. Springer, Singapore.  https://doi.org/10.1007/978-981-99-7137-4_62

  2.  Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2024), “Stock Market Forecasting Using Additive Ratio Assessment-Based Ensemble Learning.” In: Hassanien, A.E., Castillo, O., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. ICICC 2023. Lecture Notes in Networks and Systems, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-99-4071-4_25 

  3.  Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu (2023), "Stock Market Forecasting Using Hyperparameter-Tuned Ensemble Model," 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2023, pp. 267-271. https://doi: 10.1109/AIC57670.2023.10263934.

  4. Anil Kumar Mandle, Satya Prakash Sahu, Govind Gupta (2023), “Brain tumor segmentation of MR images using deep learning techniques: A review.” AIP Conf. Proc. 11 July 2023; 2745 (1): 020011. https://doi.org/10.1063/5.0133108 

  5. Sonal SahuSatya Prakash SahuDeepak Kumar Dewangan (2023), “Pedestrian detection using ResNet-101 based Mask R-CNN.” AIP Conf. Proc. 16 June 2023; 2705 (1): 020008. https://doi.org/10.1063/5.0134276

  6.  Monica Ramchandani, Satya Prakash Sahu, Deepak Kumar Dewangan (2023), "A Comparative Study in Pedestrian Detection for Autonomous Driving Systems," 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), Raigarh, Chhattisgarh, India, 2023, pp. 1-6, IEEE. https://doi.org/10.1109/OTCON56053.2023.10113992

  7.  Dey, Arun Kumar, Govind P. Gupta, and Satya Prakash Sahu (2023), "Hybrid Meta-Heuristic based Feature Selection Mechanism for Cyber-Attack Detection in IoT-enabled Networks." Procedia Computer Science 218 (2023): 318-327. https://doi.org/10.1016/j.procs.2023.01.014

  8.  Sahu, Sonal, Satya Prakash Sahu, and Deepak Kumar Dewangan (2023). "Pedestrian Detection Using MobileNetV2 Based Mask R-CNN." IoT Based Control Networks and Intelligent Systems. Springer, Singapore. 299-318. 

  9. Singh, Lokesh, Rekh Ram Janghel, and Satya Prakash Sahu (2022) "An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques." Next Generation Healthcare Systems Using Soft Computing Techniques. CRC Press 169-185.

  10. Sahu, S.P., Kumar, A., Gupta, A., Sharmila, T.S. (2022). Brain Tumour Detection Using UNet Based Semantic Segmentation Scheme. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_30 

  11. A. K. Mandle, S. P. Sahu and G. Gupta, (2022).  Intelligent Brain Tumor Detection System using Deep Learning Technique, Second International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 1-6, IEEE. https://doi:10.1109/ICPC2T53885.2022.9777073.

  12. A. K. Mandle, S. Prakash Sahu and G. Gupta, (2022). A Study of Brain Tumor Segmentation and Classification using Machine and Deep Learning Techniques, Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1-7, IEEE. https://doi: 10.1109/ICAECT54875.2022.9807934.

  13. Verma, S., Sahu, S.P., Sahu, T.P. (2022). Stock Market Analysis of Beauty Industry During COVID-19. In: Verma, P., Charan, C., Fernando, X., Ganesan, S. (eds) Advances in Data Computing, Communication and Security. Lecture Notes on Data Engineering and Communications Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-16-8403-6_14

  14. Verma, S., Prakash Sahu, S., Prasad Sahu, T. (2022). Ensemble Approach for Stock Market Forecasting Using ARIMA and LSTM Model. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_6

  15. Singh, L., Janghe, R.R. and Sahu, S.P. (2022). MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch13

  16. Kumar, S., Janghel, R.R. and Sahu, S.P. (2022). Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch15

  17. Banjarey, K., Sahu, S.P., Dewangan, D.K. (2022). Human Activity Recognition Using 1D Convolutional Neural Network. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_54

  18. Ojha A., Sahu S.P., Dewangan D.K. (2022) VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 101-113) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_9

  19. Singh A., Bansal A., Chauhan N., Sahu S.P., Dewangan D.K. (2022) Image Generation Using GAN and Its Classification Using SVM and CNN. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 89-100) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_8

  20. Vardiyani R., Sahu S.P. (2022) FCNet: Flower Classification Using Custom-Made Convolution Neural Network and Transfer Learning. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 115-125) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_10

  21. Dewangan, D.K., Sahu, S.P. (2021). Lane Detection for Intelligent Vehicle System Using Image Processing Techniques. In: Verma, G.K., Soni, B., Bourennane, S., Ramos, A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_21

  22. Dewangan, D. K., & Sahu, S. P. (2021, May). Predictive Control Strategy for Driving of Intelligent Vehicle System against the Parking Slots. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 10-13). IEEE.

  23. Ojha, A., Sahu, S. P., & Dewangan, D. K. (2021, May). Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 954-959). IEEE.

  24. Banjarey, K., Sahu, S. P., & Dewangan, D. K. (2021, April). A Survey on Human Activity Recognition using Sensors and Deep Learning Methods. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1610-1617). IEEE.

  25. Pardhi, P., Yadav, K., Shrivastav, S., Sahu, S. P., & Dewangan, D. K. (2021, April). Vehicle Motion Prediction for Autonomous Navigation system Using 3 Dimensional Convolutional Neural Network. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1322-1329). IEEE.

  26. Dewangan, D. K., & Sahu, S. P. (2021). Road Detection Using Semantic Segmentation-Based Convolutional Neural Network for Intelligent Vehicle System. In Data Engineering and Communication Technology (pp. 629-637). Springer, Singapore.

  27. Krishna A., Sahu S. P., Janghel R.R., Singh B.K. (2021) Speech Parameter and Deep Learning Based Approach for the Detection of Parkinson’s Disease. In: Pandian A., Fernando X., Islam S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66, (pp. 507-517). Springer, Singapore.

  28. Sahu, S. P., Dewangan, D. K., Agrawal, A., & Priyanka, T. S. (2021, March). Traffic Light Cycle Control using Deep Reinforcement Technique. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 697-702). IEEE.

  29. Jain, A., Sukhdeve, T., Gadia, H., Sahu, S. P., & Verma, S. (2021, March). COVID19 Prediction using Time Series Analysis. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 1599-1606). IEEE.

  30. Kumar, S., Janghel, R. R., & Sahu, S. P. (2021). Epileptic Seizure Detection Using Machine Learning Techniques. In International Conference on Innovative Computing and Communications (pp. 255-266). Springer, Singapore.

  31. Sahu, S. P., Kumar, R., Londhe, N. D., & Verma, S. (2021). Segmentation of Lungs in Thoracic CTs Using K-means Clustering and Morphological Operations. In Advances in Biomedical Engineering and Technology (pp. 331-343). Springer, Singapore.

  32. Singh, L., Janghel, R. R., & Sahu, S. P. (2021). Classification of Hepatic Disease Using Machine Learning Algorithms. In Advances in Biomedical Engineering and Technology (pp. 161-173). Springer, Singapore.

  33. Singh, L., Janghel, R. R., & Sahu, S. P. (2021). Automated CAD System for Skin Lesion Diagnosis: A Review. Advances in Biomedical Engineering and Technology, 295-320.

  34. Kumar, S., Janghel, R. R., & Sahu, S. P. Convolutional Neural Network for Seizure Detection Using Scalp Electroencephalogram (EEG). In Proceedings of 6th International Conference on Recent Trends in Computing: ICRTC 2020 (p. 431). Springer Nature.

  35. Kamble, B., Sahu, S. P., & Doriya, R. (2020). A review on lung and nodule segmentation techniques. In Advances in Data and Information Sciences (pp. 555-565). Springer, Singapore.

  36. Singh, L., Janghel, R. R., & Sahu, S. P. (2020). Designing a retrieval-based diagnostic aid using effective features to classify skin lesion in dermoscopic images. Procedia Computer Science167, 2172-2180.

  37. Janghel, R. R., Singh, L., Sahu, S. P., & Rathore, C. P. (2020). Classification and detection of breast cancer using machine learning. Social Networking and Computational Intelligence, 269-282.

  38. Sahu, S. P., Kamble, B., & Doriya, R. (2020). 3D Lung Segmentation Using Thresholding and Active Contour Method. Advances in Intelligent Systems and Computing; Springer: Singapore, 369-380.

  39. Sahu, S. P., & Kamble, B. (2020). A Hybrid Approach for 3D Lung Segmentation in CT Images Using Active Contour and Morphological Operation. In Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering (pp. 163-175). IGI Global.

  40. Waiker, D., Baghel, P. D., Varma, K. R., & Sahu, S. P. (2020, March). Effective Semantic Segmentation of Lung X-Ray Images using U-Net Architecture. In 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) (pp. 603-607). IEEE.

  41. Sairam, B., Agrawal, A., Krishna, G., & Sahu, S. P. (2020, March). Automated vehicle parking slot detection system using deep learning. In 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) (pp. 750-755). IEEE.

  42. Dewangan, D. K., & Sahu, S. P. (2020, January). Real time object tracking for intelligent vehicle. In 2020 first international conference on power, control and computing technologies (ICPC2T) (pp. 134-138). IEEE.

  43. Sahu, S. P., Agrawal, P., Londhe, N. D., & Verma, S. (2019). Lung segmentation of CT images using fuzzy C-means for the detection of cancer in early stages. In Advances in data and information sciences (pp. 167-176). Springer, Singapore.

  44. Janghel, R. R., Sahu, S. P., Rathore, Y. K., Singh, S., & Pawar, U. (2019). Application of Deep Learning in Speech Recognition. In Handbook of Research on Deep Learning Innovations and Trends (pp. 59-71). IGI Global.

  45. Janghel, R. R., Sahu, S. P., Tatiparti, G., & Kose, M. (2019). Noise Removal from Epileptic EEG signals using Adaptive Filters. In Machine Intelligence and Signal Analysis (pp. 37-47). Springer, Singapore.

  46. Bafna, Y., Verma, K., Panigrahi, L., & Sahu, S. P. (2018). Automated boundary detection of breast cancer in ultrasound images using watershed algorithm. In Ambient communications and computer systems (pp. 729-738). Springer, Singapore.

  47. Satya Prakash Sahu, “Automated System for the Detection of Lung Cancer in Early Stages: Challenges and Methodologies” International Journal of Arts & Sciences’ (IJAS) International Conference for Technology and Science, on 4-7 November 2014 at University of London Union, Malet Street, London.

  48. Sahu, S. P., & Verma, S. (2011, March). Secured and authentic communication by combined approach of digital watermarking and steganography. In International Conference on Advances in Communication, Network, and Computing (pp. 595-599). Springer, Berlin, Heidelberg.

  49. Satya Prakash Sahu, Rashmiprava Singh, “Research towards Bluetooth based Wireless Devices”, International Conference on Intelligent System & Data Processing (CISD 2011) on 24-25 January 2011 at G H Patel College of Engg & Technology, Vidyanagar, Gujrat, India.

  50. Rasmiprava Singh, S. P. Sahu, Snehlata Berde, “Bluetooth based Wireless Personal Area Network (PAN): An Overview”, International Conference on Value Creation for Competitive Differentiation: Emerging Business Model on Global Economy, on 30-31 January 2011 at Prestige Institute of Management & Research, Indore, MP, India.

  51. Sachan A K, Sahu Satya Prakash , “Web Applications: An Innovative approach for Banking Services on Mobile Device”, Management of IT & Infrastructure for flexibility & Competitiveness GLOGIFT-05, 2005, pp. 155-162, ISBN : 81-903397-0-2

 

National Conference:           

  1. Satya Verma, S. P. Sahu, Rasmiprava Singh, “Digital Watermarking” in Tehnologia-2009, a National Conference in emerging Technologies on 13-14 March 2009 MPCCET, Bhilai (C.G.)
  2. Rashmiprava Singh, Satya Verma, Satya Prakash Sahu, “Application of Wireless Communication” in Tehnologia-2009, a National Conference in emerging Technologies on 13-14 March 2009 MPCCET, Bhilai (C.G.).
  3. Satya Prakash Sahu, “Web based Application: A pioneering approach toward Banking Services on Mobile Device” in 1st National Conference in Computer Science & Information Technology on 11-12 Nov. 2006 organized at KIET Ghaziabad (U.P.) INDIA.

 

 

·         Verma, S., Sahu, S.P., Sahu, T.P. (2022). Stock Market Analysis of Beauty Industry During COVID-19. In: Verma, P., Charan, C., Fernando, X., Ganesan, S. (eds) Advances in Data Computing, Communication and Security. Lecture Notes on Data Engineering and Communications Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-16-8403-6_14

·         Verma, S., Prakash Sahu, S., Prasad Sahu, T. (2022). Ensemble Approach for Stock Market Forecasting Using ARIMA and LSTM Model. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_6

·         Singh, L., Janghe, R.R. and Sahu, S.P. (2022). MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch13

·         Kumar, S., Janghel, R.R. and Sahu, S.P. (2022). Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier. In Data Mining and Machine Learning Applications (eds R. Raja, K.K. Nagwanshi, S. Kumar and K.R. Laxmi). https://doi.org/10.1002/9781119792529.ch15 

·         Banjarey, K., Sahu, S.P., Dewangan, D.K. (2022). Human Activity Recognition Using 1D Convolutional Neural Network. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_54

·         Ojha A., Sahu S.P., Dewangan D.K. (2022) VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 101-113) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_9

·         Singh A., Bansal A., Chauhan N., Sahu S.P., Dewangan D.K. (2022) Image Generation Using GAN and Its Classification Using SVM and CNN. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 89-100) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_8

·         Vardiyani R., Sahu S.P. (2022) FCNet: Flower Classification Using Custom-Made Convolution Neural Network and Transfer Learning. In: Noor A., Sen A., Trivedi G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. (pp. 115-125) Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_10

·         Dewangan, D.K., Sahu, S.P. (2021). Lane Detection for Intelligent Vehicle System Using Image Processing Techniques. In: Verma, G.K., Soni, B., Bourennane, S., Ramos, A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_21 

Other Info.

Doctoral Thesis Supervision:

S. No. 

Name of Candidates 

Title of the PhD Thesis / Research Area 

Status

Remarks

1.

Mr. Lokesh Singh

(Full Time, Roll No. - 17318003)

Computer-Aided Diagnosis System for Melanoma using Machine Learning Techniques in Dermoscopic Images

Awarded

(March-2022)

Co-supervisor

2.

Mr. Deepak Kumar Dewangan

(Full Time, Roll No. - 18318003)

Towards the Design of Intelligent Vehicle System using Computer Vision and Deep Learning Techniques

Awarded

(March-2022)

Sole Supervisor

3.

Mr. Anil Kumar Mandle

(Part Time, Roll No. - 17318009)

Computer-Aided Diagnosis for Brain Tumor using Machine and Deep Learning Techniques

Ongoing

Co-supervisor

4.

Mr. Kranti Kumar Dewangan

(Part Time, Roll No. - 18318005)

A Deep Learning and Heuristic-based approach for Detecting the Breast Cancer in Earlier Stages

Ongoing

Main Supervisor

5.

Ms. Satya Verma

(Full Time, Roll No. - 19318012)

Towards the Design of Stock Market Prediction System using Artificial Intelligence based Approaches

Thesis Submitted

Main Supervisor

6.

Mr. Arun Kumar Dey

(Full Time, Roll No. - 20318002)

Internet of Things and IoT Data Analytics

Ongoing

Co-supervisor

7.

Mr. Dheeraj Kumar Ghaghre

(Part Time, Roll No. – 22318001)

Research Area: Machine Learning on Cyber Security

Ongoing

Co-supervisor

8.

Ms. Sneha Agrawal

(Full Time, Roll No. – 22318006)

Towards the Design of CAD System for Early Detection of Parkinson’s Disease using Artificial Intelligence Techniques

Ongoing

Sole Supervisor

 

Professional Society Membership

  • Senior Member IEEE (Bombay Section) 

  • Institution of Engineers of India (IEI) Lifetime Membership 

  • Computer Society of India (CSI) Lifetime Membership