Frank is a committed computer enthusiast from Rwanda. He is diligent, reliable, adaptable, self-motivated and result-oriented. He speaks Kinyarwanda, French, English and Chinese(Mandarin). Frank started playing with computers from an early age. He did Mathematics, Physics & Computer Science in High school and worked on several projects.
In 2015, he successfully developed & launched his own computer game named “Racescape”. In 2017, he globally won the 16th place among 3,508 Codingamers in Ghost in the Cell programming contest on CodinGame platform.
Frank graduated from Beijing Institute of Technology in Bachelor of Science in Computer Science and Technology and has received Distinguished & Excellent student award.
He also graduated from Tsinghua University - Master of Engineering in Computer Science and Technology with 3.11 GPA score and he won best oral paper presentation by ICCT-IEEE 2021 international conference.
He is currently working in Changhong as a research engineer specifically in AI Security Department (Changhong Information Security Lab).
Changhong Information Security Laboratory (长虹信息安全实验室) - AI Security department
Innovation Center Department: Anomaly Detection (malware-wise) from Encrypted network traffic using Artificial Intelligence approaches like Machine Learning, Deep Learning, etc...
Research Interest: Artificial Intelligence in Network Security. Under the supervision of Professor Jun Li & Professor DongSheng Wang. @ CPU & SoC center at RIIT(Research Institute of Information and Technology)- NSLab (Network Security Lab)
developing & maintaining Chatbots based on Natural Language Processing(NLP) conversations responsible for automated replies to questions or inquiries about studying in China from Humans(End-users) according to their interests, implementing interactive voice response(IVR) technologies and automating company operations.
A judge & mentor in Robotics and Python Programming Competition at AIDI School held in Beijing/China Organized by The CHINA ORGANIZATION FOR DEVELOPING ENGINEERS (CODE)
Fall 2019 semester curriculum: Combinatorics & Algorithm Design, Advanced Machine Learning, Advanced Network Management, Advanced Network Security and Distributed Database systems. Spring 2020 semester curriculum : Deep Learning, Distributed Systems, Natural Language Processing, Web Information & Retrieval, Big data systems and Human Computer Interaction technologies. Thesis: Analyzing Learning-based Encrypted Malware Traffic Classification with AutoML.
Studied both computer hardware and software design. It encompasses both the study of theoretical algorithms and the practical problems involved in implementing them through computer hardware and software. My curriculum comprised of many branches, including artificial intelligence, software engineering, programming and computer graphics. Thesis: Cross Virtual Machine Execution of Python Program Based on GraalVM.
Studied Mathematics, Physics, Computer Science & Entrepreneurship. With more elective courses.