Prof. Yuji Iwahori is an excellent research advisor working on state-of-art research in the field of computer vision. He gives close attention and genuine support to his students. I had collaborated with Prof. Iwahori for a summer internship in 2016, where I was fortunate to be hosted at his Computer Vision Lab at Chubu University, Japan. I worked on the project of blood vessel detection and scene classification for endoscopy images. The project led to multiple subsequent publications. Prof. Iwahori is a committed mentor who continued to guide me even after the internship. Since my bachelor's thesis was an extension of my 2016 summer internship work, he gave technical inputs even during my final undergraduate year. After my graduation, he has continued to advise me on important career decisions such as choosing a graduate school. I am thankful for his advice and recommendation to Johns Hopkins University where I am currently studying as an MS student. One of Prof. Iwahori's strengths has been the active collaborators' network he has built across universities and hospitals in Asia & North America. This directly translates to his students benefiting from the wide range of expertise, opportunities to do projects at multiple institutes, and importantly access to difficult to obtain resources like medical imaging data. Prof. Iwahori is highly committed to training the next generation of researchers. Apart from the graduate students from Chubu University, every summer he hosts students from IIT Guwahati for a research internship at his lab. In addition to the excellent technical guidance, he fosters a collaborative lab environment for the incoming students leading to cross germination of ideas. He also organizes city tours for the internship students giving them an insight into the Japanese culture. Prof. Iwahori was recently appointed as honorary faculty at IIT Guwahati. I hope this will lead to a stronger collaboration between the two institutes and give students more opportunities to do international projects. Because of his exciting portfolio of computer vision projects, extensive collaborative network, and compassionate mentorship, I would highly recommend students to explore research opportunities with him at CVL.