Space Robotics Workshop at IROS 2026
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Attended the Space Robotics Workshop held as part of IROS 2026.
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events
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)
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Attended IROS 2026, the IEEE/RSJ International Conference on Intelligent Robots and Systems.
news
Graduated from New Horizon College of Engineering
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Graduated from New Horizon College of Engineering with a Bachelor’s degree in Information Science and Engineering.
Started M.S. in Data Science at Michigan Tech
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Joined Michigan Technological University for a Master’s degree in Data Science.
Started Research Assistant Position in Computer Vision
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Started a Research Assistant position under Dr. Sidike Paheding, focusing on cross-view image geolocalization and Vision Transformers for hyperspectral image classification.
Joined the Hidden Curriculum Research Initiative
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Started a Research Assistant position under Dr. Brianna Bettin, Dr. Laura Brown, and Dr. Leo C. Ureel II, focusing on the Hidden Curriculum initiative to improve student support through educational tools and resource design in the Computer Science Department.
Started Graduate Assistant Position
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Started a Graduate Assistant position under Dr. Bo Chen, assisting with administrative tasks in the Department of Computing.
Started as a McNair Program Tutor
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Started working as a tutor with the McNair Scholars Program, helping students with questions in computer science.
Started as Graduate Grader for Engineering Statistics
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Started working as a Graduate Grader with Dr. Byung-Jun Kim for MA 3710 – Engineering Statistics.
Graduated with M.S. in Data Science
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Graduated from Michigan Technological University with a Master’s degree in Data Science and graduate certificates in Applied Statistics and Data Science Foundations.
Joined the RoLAC Lab
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Started working as a Volunteer Research Assistant in the RoLAC Lab under Dr. Tan Chen, focusing on legged locomotion in bipedal robots.
Accepted into Ph.D. Program in Computer Engineering
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Accepted into the Ph.D. program in Computer Engineering at Michigan Technological University to work under Dr. Tan Chen in the RoLAC Lab and serve as a Graduate Teaching Assistant.
Started Teaching EE2174 and EE3171
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Started teaching EE2174 – Digital Logic Design and EE3171 – Microcontroller Applications.
Presented FractionalNet at the Graduate Research Colloquium
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Presented my work on FractionalNet: A Symmetric Neural Network to Approximate Fractional Derivatives at the Michigan Tech Graduate Research Colloquium.
Started Teaching EE3010
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Started teaching EE3010 – Circuits and Instrumentation for Cyber-Physical Systems.
Undergraduate Research Symposium Evaluator
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Served as an evaluator at Michigan Tech’s Undergraduate Research Symposium, reviewing student research posters and presentations.
Completed Ph.D. Qualifying Examination
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Completed my Ph.D. qualifying examination with a presentation on FractionalNet: a symmetric neural network to compute fractional-order derivatives.
FractionalNet published in Nonlinear Dynamics
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Our paper “FractionalNet: a symmetric neural network to compute fractional-order derivatives” was published in Nonlinear Dynamics (Springer).
Jonathan Bara Award for Outstanding Graduate Teaching Assistant
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Awarded the Jonathan Bara Award for Outstanding Graduate Teaching Assistant (2024–2025) by the Department of Electrical and Computer Engineering at Michigan Technological University.
portfolio
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publications
FractionalNet: a symmetric neural network to compute fractional-order derivatives
Published in Nonlinear Dynamics, 2025
A symmetric neural network framework for approximating fractional-order derivatives using only integer-order derivative data.
Recommended citation: D. Biligiri, J. A. Smitterberg, S. Akki, B. Goodwine, and T. Chen. (2025). "FractionalNet: a symmetric neural network to compute fractional-order derivatives" Nonlinear Dynamics, 113, 33381–33398.
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reads
Walk These Ways Permalink
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Interesting work on learning diverse locomotion behaviors from commanded gait parameters. Particularly relevant to my work on emergent gait transitions and reinforcement-learning-based locomotion.
The Lucifer Effect Permalink
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A study of how situational and institutional forces can influence individual behavior. Particularly interested in the discussion of systems, authority, responsibility, and deindividuation.
teaching
Engineering Statistics and Research Mentoring
Tutor / Research Mentor, Michigan Technological University – McNair Scholars Program, Aug 2023 – Apr 2024
Mentored students in engineering statistics, research methods, and technical communication through the McNair Scholars Program.
EE 2174 – Digital Logic Design
Graduate Teaching Assistant, Michigan Technological University, Aug 2024 – Apr 2026
Supported laboratory instruction for EE 2174 – Digital Logic Design, including combinational and sequential logic, finite-state machines, and Verilog-based digital design.
EE 3171 – Microcontroller Applications
Graduate Teaching Assistant, Michigan Technological University, Aug 2024 – Dec 2024
Supported ARM microcontroller laboratories covering C and assembly programming, interrupts, input/output, and hardware-software interfacing.
EE 3010 – Circuits and Instrumentation for CPS
Graduate Teaching Assistant / Lab Instructor, Michigan Technological University, May 2025 – Aug 2025
Led laboratory instruction for EE 3010 – Circuits and Instrumentation for Cyber-Physical Systems, covering topics including DC and AC circuits, electronics, amplifiers, filtering, and instrumentation.
EE 3010 – Circuits and Instrumentation for CPS
Graduate Teaching Assistant / Lab Instructor, Michigan Technological University, May 2026 – Aug 2026
Led laboratory instruction for EE 3010 – Circuits and Instrumentation for Cyber-Physical Systems, covering topics including DC and AC circuits, electronics, amplifiers, filtering, and instrumentation.