Modick Basnet

[email protected]

As a seasoned DSP engineer with over 7 years of experience, I have honed my skills to not only troubleshoot existing problems but also to innovate new solutions whenever the need arises. From my early days as a student to my current role as an Engineer at WNC, I've consistently applied the foundational skills I acquired to analyze and solve complex challenges.

My expertise extends beyond algorithm development and signal processing; I actively contribute to the design and optimization of integrated systems, performing key duties in system engineering. My involvement in link budget analysis ensures the seamless operation and optimal performance of communication systems.

Having patented two novel ideas—one granted and another pending—I am committed to pushing the boundaries of innovation. While my journey has been rooted in DSP, my interest in data science and machine learning has led me to pursue MOOC certifications in these domains. Although I haven't had the opportunity to apply these certifications in a professional setting, I am eager to transition and contribute my skills to the dynamic field of data science and machine learning.

I am enthusiastic about collaborating with professionals in this evolving field, sharpening my knowledge, and actively contributing to impactful projects. My goal is to leverage my diverse skill set, combining DSP expertise with data science and machine learning, to become proficient and make meaningful contributions to this exciting intersection.

Work Experience

Senior Software Engineer  •  Wistron Neweb Corporation

March 2016 - Present  |  Taipei, Taiwan

  • • Lead role in software/firmware development and algorithm troubleshooting for RADAR applications, utilizing C programming.
    • Troubleshoot and develop algorithms for RADAR applications, demonstrating expertise in DSP system design and simulation with Matlab / GNU Octave and Python.
    • Played a key role in system engineering, actively participating in the design, implementation, and optimization of integrated systems
    • Successfully patented two novel ideas, one granted in the Taiwan patent office and another pending submission to the US patent office.
    • Collaborated with cross-functional teams to communicate system capabilities and performance to stakeholders, customers, and managers.
    Key Achievements:
    • Played a pivotal role in RADAR production.
    • Developed and implemented algorithms for RADAR applications.
    • Recognized for innovation with two patents—one granted and another in the submission process.


Yuan-Ze University

Telecommunications Engineering  •  2012 - 2016

Research Interests:

  • Seaborne device motion compensation
  • Self-optimization of LTE systems, including modulation/coding schemes, MIMO modes, transmit power control, and beamforming
  • Signal-to-noise ratio (SINR) improvement

Research Activities:

  • Developed an adaptive α-β-γ filter for sea vehicle motion compensation (published in JCIE, 2015)
  • Implemented self-optimizing beamforming to improve SINR in LTE networks (published in IEICE Fundamentals, 2016)
  • Improved pilot-aided channel estimation for MIMO-OFDM fading channels (published in IJAP, 2013)
  • Investigated cognitive power saving control for intelligent mobile wireless networks (published in ISEEE, 2014)


  1. J. Mar, M. B. Basnet and C.-C. Liu, “Sea vehicle motion compensation using adaptive α-β-γ filter”, in JCIE, 2015.
  2. M. Basnet and J. Mar, “Self-optimization Beam-forming Null Control Based SINR Improvement”, in the IEICE on Fundamentals, May. 2016, vol..E99-A, no.5.
  3. J. Mar, C. C. Kuo, Modick B. Basnet, “Improved Pilot-Aided Channel Estimation for MIMO-OFDM Fading Channels”, in IJAP 2013.
  4. J. Mar, M. B. Basnet, and K. P. Chao, "Cognitive power saving control for intelligent mobile wireless networks bandwidth in-vehicle channel measurements using chirp pulse sounding signal", ISEEE 2014, Sapporo.


  • MIMO
  • Kalman filtering
  • Digital Signal Processing
  • Telecommunications Engineering
  • C Programming
  • Artificial Neural Networks
  • LTE
  • Matlab
  • Signal Processing

Asian Institute of Technology

Information and Communications Technology  •  2009 - 2012

  • Thesis: "Equalization in VLC using Recurrent Neural Network"
  • Focus Areas: Communications, Optimization, Visible Light Wireless Communications (VLC)
  • Key Skills: FPGA, Verilog, Networking, Recurrent Neural Networks
  • Additional Highlights:
    • Project on Visible Light Wireless Communications (VLC) using FPGA and Verilog.
    • Exchange student program at Yuan Ze University, Taiwan.
    • Favorite subject: Optimization in Communication Networks.

Pokhara Vishwavidalaya

Electronics and Communications Engineering  •  2002 - 2007

  • Core Interest: Communication Engineering
  • Relevant Courses: Mobile Communications, CDMA Technology, Communication Systems, Digital Signal Processing
  • Final Project: Optimization of CDMA System Performance
    • Investigated the impact of Code Rate, Bandwidth, and SNR on CDMA system performance.
    • Proposed and implemented optimization techniques to improve system efficiency and capacity.
  • Minor Project: Design and Implementation of LED-based Display System
    • Developed a system using LEDs to display scrolling text.
    • Gained experience in hardware design, programming, and embedded systems.

Additional Highlights:

  • Dean's List of Pokhara Vishwavidalaya


  • C/C++
  • Matlab
  • Signal Processing
  • Digital Signal Processing Algorithms
  • Radar
  • Telecommunications Engineering
  • Algorithm Development


  • English — Professional
  • Chinese — Beginner
  • Hindi — Fluent
  • Nepali — Native or Bilingual