LAB LOGA page on LabLog, a review site (not the lab's official page)
Optimization, Evolutionary Computation, Machine Learning, and Artificial Intelligence Lab (Kento Uchida)
Machine-translated · View original
The lab tackles optimization problems using evolutionary computation and machine learning.
AboutAbout the lab
Exploring optimization with evolutionary computation and machine learning
Project Assistant Professor Kento Uchida specializes in optimization, evolutionary computation, machine learning, and artificial intelligence.
The research keywords are evolutionary computation and machine learning, and the researcher directory classifies the field as intelligent informatics.
Titles of recent papers and presentations include runtime analysis of evolutionary computation methods, neural network architecture search, and automatic feature construction using large language models.
Project Assistant Professor Uchida is affiliated with the Organization for the Promotion of Education and also teaches undergraduate courses as a faculty member of the Information Engineering Education Program.
Key terms
- Evolutionary computation
- An optimization approach that searches for good solutions, inspired by biological evolution
- Black-box optimization
- Optimization that searches for good solutions to a problem whose underlying formula is unknown, using only the input values and the resulting evaluations as clues
- Machine learning
- A method of having computers learn rules from data
NewsLab news
A group including Project Assistant Professor Uchida received the SICE SSI Outstanding Presentation Award from the Society of Instrument and Control Engineers
Project Assistant Professor Uchida and colleagues received the IEEE CIS Japan Chapter Young Researcher Award from the Japanese Society for Evolutionary Computation
ResearchResearch themes
Project Assistant Professor Uchida specializes in optimization, evolutionary computation, machine learning, and artificial intelligence. Titles of recent presentations include the evaluation of large language models on black-box optimization problems and more efficient optimization of model merging.
View More ↗MembersFaculty
- Project Assistant ProfessorKento Uchida
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Optimization, Evolutionary Computation, Machine Learning, and Artificial Intelligence Lab (Kento Uchida)
Tanabe LabFaculty of Engineering Science, Department of Mathematics, Physics, Electrical Engineering and Computer ScienceFundamental research on evolutionary computation (black-box …
Nakata LabFaculty of Engineering Science, Department of Mathematics, Physics, Electrical Engineering and Computer ScienceAn optimization problem is the problem of finding the soluti…
Cryptography Lab (Shingo Sato)Faculty of Engineering Science, Department of Mathematics, Physics, Electrical Engineering and Computer ScienceCryptography, information security, theoretical computer sci…
Fujimoto Lab (System Control Lab)Faculty of Engineering Science, Department of Mathematics, Physics, Electrical Engineering and Computer ScienceSystem optimization and automation, robotics, and actuators:…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Bird Swarm - geograph.org.uk - 4777126” Andy Beecroft / CC BY-SA 2.0 (cropped)
- Related lab (Tanabe Lab): “Murmuration ( agrégation) d'un groupe d'étourneaux sur la sebkha de Sijoumi 3” Skander zarrad / CC BY-SA 4.0 (cropped)
- Related lab (Nakata Lab): “Island population model of an evolutionary algorithm” Studi90 / CC BY-SA 4.0 (cropped)
- Related lab (Cryptography Lab (Shingo Sato)): “SecurityTokens.CryptoCard.agr” ArnoldReinhold at en.wikipedia. Later version(s) were uploaded by Silverxxx at en.wikipedia. / CC BY-SA 3.0 (cropped)
- Related lab (Fujimoto Lab (System Control Lab)): “Sunderland University Experimental Robot Arm” MichaelShort1975 / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.