 Evariste-Some-LinkedIn |
Evariste Somé received Ph.D in Telecommunication Engineering, Master in Technology Cybersecurity & Policy degrees from the University of Colorado Boulder in 2023; Master and Bachelor degrees in Electrical Engineering from Temple University - PA. He is a Temporary Researcher in the Computer Science Department, University of Colorado. Somé's research interests are in wireless communication networks, with emphasis on antenna array and applications. Current directions include Machine Learning (ML) and specifically Deep Learning for wireless communication systems. Somé has been an active member of IEEE, SpectrumX , National Radio Dynamic Zone discussion groups, and IEEE Vehicular Technology Society (VTS) Committee on AI in Wireless Communications. |
Research & Interests
- Coherent Communication Systems, Antennas Array, massive MIMO, Beamforming 5G, mmWave, Reconfigurable Intelligence Surface (new), Advanced Wireless Sys., Machine Learning for Wireless Communications, Non-Terrestrial Networks (new), Remote Sensing Systems.
- Key References: IEEE 802.11 , 3GPP, 3GPP 5G, 3GPP 6G
- ML Deep Learning Simulating Wireless Network Layers: PHY - Data Link - Network (New)
- Wireless Network Layers Simulation (New)
- Antenna Array Beamforming Demystification
- Wireless Communications and Machine Learning Algorithms
- Coherent RF waves with 16-element antenna array SDR receivers using injection-locking techniques
- Coherent optical lightwaves communication networks
- Electromagnetic Waves and Wireless History (personal notes)
- Passive Radar using multichannel (coming soon)
- Member and contibutor of WIRG
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Publications:
- GPS Signal for Sufficient Coherence. - 2024 IEEE International Symposium on Phased Array Systems and Technology (E. Somé, N. Mitsuishi),
- SDR Injection-Locking using a GPS Signal for Multichannel Coherent Receivers - Aerospace Conference March 4th-11th, 2023 Montana-US (E. Somé, A. Gasiewski),
- Potential of Multiple Software Defined Radio Receivers for Coherent Spectrum Sensing - National Radio Science Meeting, Jan. 10th-14th, 2023 (Abstract ACCEPTED for Presentation) (Evariste Some, Al. Gasiewski),
- Understanding Latency across PON systems (With few comparisons to DOCSIS systems) (Karthik sundaresan, Evariste Some - SCTE 2022),
- MMSE Indicator Error Rate Performance on MIMO When Increasing Modulation Order (Evariste Some, Ibrahim Ayad, Bryan C. Boots),
- Enabling 5G and IoT: In Search of More Spectrum for Connected Devices (Evariste Some, Bryan C. Boots, Gregory Gondwe),
- Cybersecurity and driverless cars: In search for a normative way of safety (Evariste Some, Gregory Gondwe, Evan W. Rowe),
- Performance Evaluation of MIMO Techniques With an SDR-Based Prototype (Evariste Some, Kevin Gifford).
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Work History:
- University of Colorado- Boulder, CO
- June 2024 - February 2025: Temporary Research Faculty
- August 2023 - April 2024: Lecture Content Course-developer [ECEA 5453-5455 Introduction to RF Spectrum Systems Specialization & ECEA 5456-5458 RF Spectrum Systems and Applications Specialization]
- Falls 2018 -2023: TA & RA Wireless Introduction and Laboratory
- Cablelabs - Louisville, CO
- June-August 2022: Research intern [Investigated Passive Optical Network (PON) systems on GPON & EPON latencies]
- June-August 2021: Research internTA [investigated DOCSIS device/system upstream behavior, including OFDMA parameters, channel configurations, capacity, performance, etc.]
- Villanova University- PA
- Jan. 2016 - May 2017: Java, Python, Algorithm and Data Structures I & II (Adjunct Instructor)
- Jan. 2016 - May 2017: ARM7 Microcontrollers LPC2148 (Adjunct Instructor)
- Drexel University- PA
- June-Dec. 2016: Introduction to computer networks, and programming for engineers in Python (Adjunct Instructor)
My Course Materials
(In progress ...) I welcome comments, suggestions, and corrections. Please reach out to me via email with any feedback you may have regarding my notes.
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Personal Books
- Machine Learning Books
- [March 2025 ] Radio Frequency Machine Learning: A Practical Deep Learning Perspective - Scott Kuzdeba
- [Sept. 2024 ] Machine Learning for Future Wireless Communications (IEEE Press) 1st Edition - by Fa-Long Luo
- [Sept. 2024 ] Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation 1st Edition - by Dinh Thai Hoang, Nguyen Van Huynh, Diep N. Nguyen, Ekram Hossain, Dusit Niyato
- [Sept. 2024 ] Deep Reinforcement Learning for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering) 1st ed. 2019 Edition - by F. Richard Yu, Ying He
- [Sept. 2024 ] Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - by Sebastian Raschka, Yuxi Liu, Vahid Mirjalili
- [Sept. 2024 ] Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond, 2nd ed. Edition - by Ashish Ranjan Jha
- [May 2024 ] Machine Learning and Wireless Communications - Yonina C. Eldar, Andrea Goldsmith, Deniz Gündüz, H. Vincent Poor
- [May 2024 ] Deep Learning with Python, Second Edition 2nd Edition - Francois Chollet
- [Feb. 2024 ] Applications of Machine Learning in Wireless Communications - Ruisi He, Zhiguo Ding
- Wireless Communication Systems Books
- [June 2025 ] Modelling the Wireless Propagation Channel: A simulation approach with MATLAB 1st Edition - Perez Fontan, P. Marino Espineira
- [June 2025 ] Wireless Network Simulation: A Guide using Ad Hoc Networks and the ns-3 Simulator 1st ed. Edition - Henry Z. C., Jorge E. P. A., Hernan J. J., Diego A. R. R., Oscar A. R., Jorge E. O. T.
- [June 2025 ] Principles of Communication Systems Simulation with Wireless Applications 1st Edition - W. H. Tranter, K. Sam Shanmugan, Theodore S. Rappaport Kurt L. Kosbar
- [June 2025 ] Engineering Wireless-Based Software Systems And Applications Illustrated Edition - Jerry Zeyu Gao, Simon Shim, Xiao Su, Hsing Mei
- [March 2025 ] Phased Array Antenna Handbook, Third Edition - Robert J. Mailloux
- [May 2024 ] Introduction to Multiple Antenna Communications and Reconfigurable Surfaces - Emil Björnson, Özlem Tuğfe Demir
- Antennas and Propagation for Wireless Communication Systems, second Ed. - Simon R. Saunders, Alejandro Aragon-Zavala
- Wireless Communications, Principles and Practice - Theodore S. Rappaport
- Fundamentals of Communications Systems - Michael P. Fitz
- Next Generation Wireless LANs, second Ed. - Eldad Perahia, Robert Stacey
- An Introduction to LTE, second Ed. - Christopher Cox
- Massive MIMO Networks - Emil Bjornson, Jacob Hoydis, Luca Sanguinetti
- Simplified Robust Adaptive Detection and Beamforming for Wireless Communications - Ayman Elnashar
- 5G, Sub-millimeter Wave, Millimeter Wave, & Terahertz Books
- 5G Wireless: A Comprehensive Introduction - Dr. William Stallings
- A Network Architect's Guide to 5G - Syed Farrukh Hassan, Alexander Orel, Kashif Islam
- Millimeter Wave Wireless Communications - James N. Murdock, Robert C Daniels, and Theodore Rappaport
- Principles of Terahertz Science and Technology, - Yun-Shik Lee
- Antennas Theory Books
- Antennas Theory, Analysis and Design, third Ed. - Constantine A. Balanis
- Antennas and Radiowave Propagation - Robert E. Collin
- Coherent Communication Systems Books
- Enabling Technologies for High Spectral-efficiency Coherent Optical Communication Networks - Xiang Zhou, Chrongjin Xie
- Optical Wireless Communications System and Channel Modeling with Matlab - Z. Ghassemlooy
- Digital Coherent Optical Systems - Darli Augusto de Arruda Mello
- Optics
- K. K. Sharma, Optics: Principles and Applications- K. K. Sharma
- Electromagnetic Wave Theory
- Electromagnetic Theory of Propagation, Interference and Diffraction of Light,7th edition, - M. Born and E. Wolf
- Classical Electrodynamics, - J. D. Jackson (Third Edition)
- Estimation Theory
- Dtection, Estimation, and Modulation Theory,second Ed., Harry L. Van Trees, Kristine L. Bell
- An Introduction to the Theory of Random Signals and Noise - J. D. Jackson (Third Edition)
- Applied Optimal Estimation - Arthur Gelb
Helpful Links
(In progress ...) I welcome comments, suggestions