About Me

I am an AI/ML researcher specializing in large language models, time-series forecasting, and wireless spectrum sensing. I focus on applying deep learning to real-world challenges, from vehicular crash prediction to large-scale wireless testbeds, and I previously worked on distributed systems optimization at Microsoft.

Skills

• Data Analysis & Machine Learning: TensorFlow, PyTorch, Keras, CUDA, Python (NumPy, SciPy, Pandas, Matplotlib)
• Programming Languages: Python, C++, C#, C, Java, MATLAB
• Miscellaneous Tools & Technologies: MS Visual Studio, GNU Radio, UHD, Bash, Git, Docker, WinDbg, Kubernetes

Education

University of Nebraska-Lincoln (UNL), School of Computing

Ph.D. in Computer Engineering

August 2015 – July 2025

Relevant Coursework: Advanced Wireless Networking, Deep Learning, Design & Analysis of Algorithms

Bangladesh University of Engineering & Technology (BUET)

Bachelor of Science in Electrical & Electronic Engineering

June 2007 – April 2012

Relevant Coursework: Digital Signal Processing, Microprocessor & Interfacing

Professional Experience

Software Engineer | Microsoft Corporation

August 2022 – July 2024

Graduate Research and Teaching Assistant | University of Nebraska-Lincoln

August 2015 – August 2022

Software Engineer - Security Lab | KONA Software Lab Limited

July 2014 – July 2015

Certifications

• Introduction to Concurrent Programming with GPUs Johns Hopkins University, Coursera June 2023

Publications

Journal Papers

• Temel, Samil, Vuran, Mehmet C, Lunar, Mohammad MR, Zhao, Zhongyuan, Salam, Abdul, Faller, Ronald K, Stolle, Cody. Vehicle-to-barrier communication during real-world vehicle crash tests, Computer Communications, Volume 127, Pages 172-186, 2018, Elsevier. [pdf]
• Zhao, Zhongyuan, Vuran, Mehmet C, Zhou, Baofeng, Lunar, Mohammad MR, Aref, Zahra, Young, David P, Humphrey, Warren, Goddard, Steve, Attebury, Garhan, France, Blake. A city-wide experimental testbed for the next generation wireless networks, Ad hoc networks, Volume 111, Pages 102305, 2021, Elsevier. [pdf]

Conference Papers

• Lunar, Mohammad MR, Sun, Jianxin, Wensowitch, John, Fay, Michael, Tulay, Halit Bugra, Karanam, Venkat Sai Suman Lamba, Qiu, Brian, Nadig, Deepak, Attebury, Garhan, Yu, Hongfeng, others. OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds, Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, Pages 85-92, 2022. [pdf]
• Lunar, Mohammad MR, Stolle, Cody, Faller, Ronald K, Vuran, Mehmet C. Crashing Waves: An Empirical Vehicle-to-Barrier Communication Channel Model via Crash Tests, 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Pages 419-427, 2021, IEEE. [pdf]
• Vuran, Mehmet C, Lunar, Mohammad Mosiur, Nie, Shuai, Ge, Yufeng, Pitla, Santosh, Bai, Geng, Koksal, Can Emre. Millimeter-wave agricultural channel measurements in corn and soybean fields at different growth stages, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), Pages 1686-1687, 2022, IEEE. [pdf]
• Nie, Shuai, Lunar, Mohammad Mosiur, Bai, Geng, Ge, Yufeng, Pitla, Santosh, Koksal, Can Emre, Vuran, Mehmet C. mmWave on a Farm: Channel Modeling for Wireless Agricultural Networks at Broadband Millimeter-Wave Frequency, 2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Pages 388-396, 2022, IEEE. [pdf]
• Rizvi, ASM, Toha, Tarik Reza, Lunar, Mohammad Mosiur Rahman, Adnan, Muhammad Abdullah, Al Islam, ABM Alim. Cooling energy integration in simgrid, 2017 International Conference on Networking, Systems and Security (NSysS), Pages 132-137, 2017, IEEE. [pdf]
• Toha, Tarik Reza, Lunar, Mohammad MR, Rizvi, ASM, Nurain, Novia, Al Islam, ABM Alim. GMC: Greening MapReduce clusters considering both computational energy and cooling energy, 2018 IEEE International Conference on Communications (ICC), Pages 1-6, 2018, IEEE. [pdf]
• Shetu, Raju Ahmed, Toha, Tarik, Lunar, Mohammad Mosiur Rahman, Nurain, Novia, Al Islam, ABM Alim. Workload-based prediction of CPU temperature and usage for small-scale distributed systems, 2015 4th International Conference on Computer Science and Network Technology (ICCSNT), Pages 1090-1093, 2015, IEEE. [pdf]
• Lunar, Md Mosiur Rahman, Al Islam, A. B. M. Alim Al. A study on combining power management and power control for wireless sensor networks, 2015 International Conference on Networking Systems and Security (NSysS), Pages 1-4, 2015, IEEE. [pdf]
• Lunar, Md. Mosiur Rahman, Islam, A. B. M. Alim Al. Combining Power Management and Control (PMaC) for Wireless Sensor Networks, Workshop on Wireless Networks & Communication Dhaka, Bangladesh, Pages 34-35, 2013, Department of CSE, BUET. [pdf]
• Group, mmWave Networks Project. TIP Channel Sounder Program Results Summary Report, TIP-mmWave, September 2020.

Contact Me

Feel free to email me or reach out via my LinkedIn profile.