On July 3, 2024, Prof. Suzuki was named an IARIA Fellow by the International Academy, Research, and Industry Association (IARIA), in recognition of his contribution to the scientific community. Dr. Suzuki has participated at IARIA as a Program committee member, Steering committee member, moderato Read more...

Kazuaki has been selected as one of the doctoral students in the program, “Tokyo Tech Program for Development of Next-Generation Front-Runners with Comprehensive Knowledge and Humanity (Tokyo Tech SPRING).” Congrats! Read more...

Prof. Suzuki has received Computer Science Leader Award for 2024 from Research.com and ranked 34th in Computer Science category in Japan. Read more...

Three students from the Suzuki Lab won the Outstanding Student Award in the Department of Information and Communications Engineering for the term ending March 2023.
The award is given to students completing their master’s degree and to students who have demonstrated outstanding resear Read more...

Shogo presented his research plan, entitled “Development of Small-Data AI for Lung Nodule Classification Based on Massive-Training Artificial Neural Network ” at the research plan presentation in the Department of Information and Communication Engineering on November 30, 2023 and he has won t Read more...

Songxiao Yang won the outstanding student award in the Department of Information and Communications Engineering in September graduation. Congratulations!

The award is given to students completing their master’s degree and to students who have demonstrated outstanding research. Read more...

Aitolkyn Baigutanova, the AOTULE student in Suzuki Lab, presented her research, entitled “Deep Learning Based Lung Nodule Detection in CT Images” at the 14th Multidisciplinary International Student Workshop (MISW 2023) in Ookayama Campus of Tokyo Tech, on August 3-4 and she has won the best p Read more...

Haitian presented his research plan, entitled “Semantic Segmentation of Rare Soft-tissue Cancer in MRI with Small-Data Training” at the research plan presentation in the Department of Information and Communication Engineering on June 7, 2023 and he has won the best presentation award. Congrat Read more...

Songxiao presented his research plan, entitled “Deep-Learning-based Image Quality Improvement in Fast Acquisition MRI of Knee and Brain” at the research plan presentation in the Department of Information and Communication Engineering on June 8, 2022 and he was awarded the best presentation aw Read more...

Mr. Shishido has been selected one of the Tokyo Tech Advanced Human Resource Development Fellowship for Doctoral Students. Congratulations! Read more...