Ajit Kumar Sahoo
Ajit Kumar Sahoo
Assistant Professor
Dr. Ajit Kumar Sahoo received the Ph.D. degree in Computer Science in the area of intelligent sensing from the School of Computer and Information Sciences, University of Hyderabad, India, in 2023 and M.Tech. degree in Information Technology from Tezpur Central University, Tezpur, India, in 2013. He also worked as Post Doctoral Research Fellow (PDRF) in University of Hyderabad before joining the KIIT University. He has three years of teaching and research experience. His research focus is on Intelligent sensing, Wi-Fi sensing and its applications in different fields, Machine Learning, Deep Learning and Artificial Intelligence.
Profile Links
Email :
[email protected]
Website :
ajitsahoocs.github.io
Scopus Id :
57195524662
Social Links
Research Interests
Intelligent Sensing, Wi-Fi Sensing, Machine Learning, Deep Learning, Artificial Intelligence
Intelligent Sensing, Wi-Fi Sensing, Machine Learning, Deep Learning, Artificial Intelligence
Journals/Conferences :
Ajit Kumar Sahoo and Siba K. Udgata, “A novel fuzzy inspired machine learning framework for relative humidity estimation using time-of-flight of ultrasonic sensor,” Measurement (Elsevier),Volume 195, 2022, 111035, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2022.111035.
Ajit Kumar Sahoo and Siba K. Udgata, ""A Novel ANN-Based Adaptive Ultrasonic Measurement System for Accurate Water Level Monitoring,"" IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 6, pp. 3359-3369, June 2020, doi: 10.1109/TIM.2019.2939932.
Bhabanisankar Pati, Ajit Kumar Sahoo, and Siba K. Udgata, ""Caption Generation for Sensing based Activity using Attention-based Learning Models,"" in IEEE Sensors Letters, pp. 1-4, 2023, doi: 10.1109/LSENS.2023.3347486.
Satapathy, S.S., Sahoo, A.K., Ray, S.K. and Ghosh, T.C. (2017), Codon degeneracy and amino acid abundance influence the measures of codon usage bias: improved Nc (N̂c) and ENCprime (N̂′c) measures. Genes to Cells (Wiley), 22: 277-283. https://doi.org/10.1111/gtc.12474
Ajit Kumar Sahoo and Siba K Udgata ""Material Classification based on Non-contact Ultrasonic Echo Signal Using Deep Learning Approach"" Accepted for publication in Procedia Computer Science (Elsevier).
Ajit Kumar Sahoo, Akhil, K., Udgata, S.K. (2022). Wi-Fi Signal-Based Through-Wall Sensing for Human Presence and Fall Detection Using ESP32 Module. Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore. https://doi.org/10.1007/978-981-19-0901-6_41
Ajit Kumar Sahoo, and Siba Kumar Udgata. Machine Learning-Based Ambient Temperature Estimation Using Ultrasonic Sensor. Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 201. Springer, Singapore, 2021. https://doi.org/10.1007/978-981-16-0666-3_54
Ajit Kumar Sahoo , V. Kompally and Siba K. Udgata, ""Wi-Fi Sensing based Real-Time Activity Detection in Smart Home Environment"" ,IEEE Applied Sensing Conference (APSCON), Bengaluru, India, 2023 , pp. 1-3.
Gayathri Gorrepati, Ajit Kumar Sahoo, and Siba K.Udgata, ""WiFi Sensing Model for Intrusion Detection in Smart Home Environment,"" Accepted in IEEE R10 HTC Conference.
Gayathri Gorrepati, Ajit Kumar Sahoo, and Siba K.Udgata, ""Wi-SafeHome: WiFi Sensing based Suspicious Activity Detection for Safe Home Environment"" , Accepted for publication in International Conference on IHCI-2023, Daegu, Korea.
Ajit Kumar Sahoo and Siba K. Udgata, “A novel fuzzy inspired machine learning framework for relative humidity estimation using time-of-flight of ultrasonic sensor,” Measurement (Elsevier),Volume 195, 2022, 111035, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2022.111035.
Ajit Kumar Sahoo and Siba K. Udgata, ""A Novel ANN-Based Adaptive Ultrasonic Measurement System for Accurate Water Level Monitoring,"" IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 6, pp. 3359-3369, June 2020, doi: 10.1109/TIM.2019.2939932.
Bhabanisankar Pati, Ajit Kumar Sahoo, and Siba K. Udgata, ""Caption Generation for Sensing based Activity using Attention-based Learning Models,"" in IEEE Sensors Letters, pp. 1-4, 2023, doi: 10.1109/LSENS.2023.3347486.
Satapathy, S.S., Sahoo, A.K., Ray, S.K. and Ghosh, T.C. (2017), Codon degeneracy and amino acid abundance influence the measures of codon usage bias: improved Nc (N̂c) and ENCprime (N̂′c) measures. Genes to Cells (Wiley), 22: 277-283. https://doi.org/10.1111/gtc.12474
Ajit Kumar Sahoo and Siba K Udgata ""Material Classification based on Non-contact Ultrasonic Echo Signal Using Deep Learning Approach"" Accepted for publication in Procedia Computer Science (Elsevier).
Ajit Kumar Sahoo, Akhil, K., Udgata, S.K. (2022). Wi-Fi Signal-Based Through-Wall Sensing for Human Presence and Fall Detection Using ESP32 Module. Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore. https://doi.org/10.1007/978-981-19-0901-6_41
Ajit Kumar Sahoo, and Siba Kumar Udgata. Machine Learning-Based Ambient Temperature Estimation Using Ultrasonic Sensor. Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 201. Springer, Singapore, 2021. https://doi.org/10.1007/978-981-16-0666-3_54
Ajit Kumar Sahoo , V. Kompally and Siba K. Udgata, ""Wi-Fi Sensing based Real-Time Activity Detection in Smart Home Environment"" ,IEEE Applied Sensing Conference (APSCON), Bengaluru, India, 2023 , pp. 1-3.
Gayathri Gorrepati, Ajit Kumar Sahoo, and Siba K.Udgata, ""WiFi Sensing Model for Intrusion Detection in Smart Home Environment,"" Accepted in IEEE R10 HTC Conference.
Gayathri Gorrepati, Ajit Kumar Sahoo, and Siba K.Udgata, ""Wi-SafeHome: WiFi Sensing based Suspicious Activity Detection for Safe Home Environment"" , Accepted for publication in International Conference on IHCI-2023, Daegu, Korea.