Eng. Ulfah Khairiyah Luthfiyani

Instructor of Electrical Engineering

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Eng. Ulfah currently serves as an Instructor in the Department of Electrical Engineering at Alfaisal University, Riyadh, Saudi Arabia. She possesses extensive academic and professional experience in the fields of robotics, artificial intelligence, and data science, with a strong focus on the application of machine learning in engineering systems. Previously, she served as a Lecturer and as the Acting Head of the Innovation and Business Incubation Center (PI2B) at the Institut Teknologi Indonesia, where she led strategic programs to strengthen innovation and entrepreneurial ecosystems, foster industry–academia collaborations, and develop the national solar photovoltaic (PV) industry roadmap in partnership with the National Research and Innovation Agency of Indonesia (BRIN) and the Institute for Essential Services Reform (IESR). She also previously worked as a Research Assistant since 2018 - 2020 at the Human-Centered Robotics Laboratory, Korea National University of Transportation (KNUT), and as an Instructor in several national digital training programs organized by the Ministry of Communication and Information Technology (Kominfo) of Indonesia, reflecting her commitment to advancing technological innovation, human capital development, and sustainable energy transitions through education, research, and international collaboration.

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Gait pattern modification based on ground contact adaptation using the robot-assisted training platform (RATP)

Journal ,
Prasad, S. S., Luthfiyani, U. K., & Kim, Y. (2024). Gait pattern modification based on ground contact adaptation using the robot-assisted training platform (RATP). https://doi.org/10.1007/s11517-024-03176-y

Analisis Perbandingan Indeks Keandalan Sistem Jaringan Distribusi dengan Metode Section Technique dan Reliability Index Assessment (RIA): Studi Kasus Gardu Induk Balaraja

Journal ,
Luthfiyani, U. K., Setiawan, A., & Arifin, S. (2023). Analisis Perbandingan Indeks Keandalan Sistem Jaringan Distribusi dengan Metode Section Technique dan Reliability Index Assessment (RIA): Studi Kasus Gardu Induk Balaraja. https://doi.org/https://doi.org/10.55123/insologi.v2i1.1782

Optimalisasi Kinerja Panel Surya Berdasarkan Waktu Tunda Pergerakan Solar Tracker

Journal ,
Kamal, E., Setiawan, A., Yatmani, S., & Luthfiyani, U. K. (2023). Optimalisasi Kinerja Panel Surya Berdasarkan Waktu Tunda Pergerakan Solar Tracker. https://doi.org/https://doi.org/10.32722/pt.v22i3.5840

Optimization of The Durian Peel Waste Adsorbent in The Purifica-tion of Used Cooking Oil

Journal ,
Yatmania, S., Kuntolaksonob, S., Sivtiania, I., Novitasaria, W., & Luthfiyania, U. K. (2022). Optimization of The Durian Peel Waste Adsorbent in The Purifica-tion of Used Cooking Oil. https://doi.org/https://doi.org/10.14710/jbes.2022.16356

Walking Pattern Adaptation of a Wearable Robot based on the Change of Ground Contact State

Conference Proceedings ,
Kim, Y., & Luthfiyani, U. (2019). Walking Pattern Adaptation of a Wearable Robot based on the Change of Ground Contact State. The Korean Institute of Electrical Engineers. Retrieved from https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE09306025 (Original work published 2019)

Development of Kinematics / Dynamics Simulation Program for General Robot Control based on C++ / MFC

Conference Proceedings ,
Ryu, J., Ye, G., Jeon, J., Lee, J., Luthfiyani, U. K., Kwon, H., & Kim, Y. (2018). Development of Kinematics / Dynamics Simulation Program for General Robot Control based on C++ / MFC. The Korean Society of Manufacturing Technology Engineers. Retrieved from https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE07438077 (Original work published 2018)

Development of lower limb rehabilitation platform - Generation of gait pattern and adaptation to environment

Conference Proceedings ,
Luthfiyani, U. K., & Kim, Y. (2018). Development of lower limb rehabilitation platform - Generation of gait pattern and adaptation to environment. The Korean Institute of Electrical Engineers. Retrieved from https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE07562579 (Original work published 2018)

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