Calist’s page
INOCENT CALIST
(イノセント カリスト)
- PhD 3rd year
- Igarashi Campus, Engineering Building Block A Room 512
- Email: f22l501j@mail.cc.niigata-u.ac.jp
ACADEMIC BACKGROUND (学歴)
- 新潟大学大学院(Ph.D.)Graduate School of Science and Technology, Niigata Univ. (Oct. 2022 – present )
- 新潟大学大学院(Master’s)Graduate School of Science and Technology, Niigata Univ. (Oct. 2020 –
Sept. 2022 ) - (Bachelor’s) College of Engineering and Technology, University of Dar es Salaam, Tanzania (Oct. 2009 –
July 2013 )
CONFERENCES AND PUBLICATIONS
- I. Calist, M. Kim, “Urban Macro/Microcellular Channel Characterization at 4.85 GHz With Literature-Referenced Upper-FR1-to-FR3 Cross-Band Analysis,” in IEEE Transactions on Antennas and Propagation, Early access, Aug. 2026, doi: 10.1109/TAP.2026.3717623.
- I. Calist, M. Kim, X. Zhang and R. He, “Urban path loss prediction using geometry-conditioned multimodal panoramic features,” in IEICE Transactions on Communications, doi: 10.23919/transcom.2026ISP0002.
- X. Zhang, M. Kim, I. Calist, R. He, M. Yang and Z. Qi, “Environment-Aware Path Loss Prediction Using Panoramic Images for Vehicular Communications,” ICC 2026 – IEEE International Conference on Communications, Glasgow, United Kingdom, 2026, pp. 1-6, doi: 10.1109/ICC59461.2026.11587373.
- X. Zhang, R. He, M. Kim, I. Calist, M. Yang and Z. Qi, “Environment-Aware Channel Prediction for Vehicular Communications: A Multimodal Visual Feature Fusion Framework,” Preprint, ArXiv abs/2604.02396 (2026).
- I. Calist, M. Kim, “Enhancing Urban Wireless Path Loss Prediction With Physics-Based Deep Learning and OpenStreetMap Features,” International Symposium on Antennas and Propagation (ISAP), Oct., 2025.
- I. Calist, M. Kim, “Multipath cluster-based scatterer recognition by object detection techniques using panoramic images,” ITC-CSCC, June, 2023, Jeju, Korea.
- I. Calist, M. Kim, Z. Li, “Large-Scale Channel Parameters estimation using reflected ray’s information for an urban environment,” EUCAP, March, 2022.
- I. Calist, M. Kim, Z. Li, “Channel Parameters estimation by machine learning of environmental features ,” IEICE TC-AP, Nov., 2021.
- I. Calist, M. Kim, “Machine Learning Based Channel Parameters Estimation for Indoor Environment Utilizing Reflected Rays Information,” International Symposium on Antennas and Propagation (ISAP), Oct., 2021.














