TOP > AI-Based Information Integration Research Core

AI-Based Information Integration Research Core

	Prof. Takashi OBI
	Room	R2	Mail-Box	R2-60
	TEL	045-924-5482
	E-mail	obi(at)first.iir.isct.ac.jp　Please replace “(at)” with “@”.
	HomePage	https://www.msii.first.iir.titech.ac.jp/
Research Field	Social Information System, Information Security, Medical Image and Information Processing
Objective	Development of information systems and imaging systems that are used in the medical field and public sector
Current Topics	Japanese National e-ID system Advanced techniques of the medical information Secure Medical network and Systems Medical image processing using the multi-spectral images Reconstruction method for the several medical images

Improving the Accuracy of Segmentation of Kidney Tumor in MRI Images Using Multi-Modality Images

Study on a Privacy-Aware PHR Data Analysis System

	Prof. Kenji SUZUKI
	Room	R2	Mail-Box	R2-58
	TEL	045-924-5496
	E-mail	E-mail: info(at)bmai.iir.titech.ac.jp　Please replace “(at)” with “@”.
	HomePage	https://suzukilab.first.iir.titech.ac.jp/
Research Field	Deep learning, Machine learning, Artificial Intelligence (AI), AI-aided Diagnosis, Biomedical Image Understanding, Biomedical Image Processing.
Objective	To develop computational intelligence that learns, from image examples, physicians’ skills and knowledge in interpreting images to help make smart decisions in biomedicine.
Current Topics	Small-Data Deep Learning: Development of deep learning models that can be trained with a small number of samples. AI Doctor: Development of intelligent computer-aided systems that assist physicians in early detection, accurate diagnosis, effective treatment, and better prognosis of diseases. Virtual AI Imaging: Development of deep-learning technologies that learn to virtually acquire physical phenomena and functions in imaging.

Image-Regression Deep Learning for Estimating Likelihood of Being Lung Cancer in CT

Virtual AI Imaging Technology to Remove Bone Components in Chest Radiographs

	Prof. Katsuki FUJISAWA
	Room	G5	Mail-Box	G5-5
	TEL	045-924-5086
	E-mail	fujisawa.k(at)first.iir.isct.ac.jp　Please replace “(at)” with “@”.
	HomePage	https://sites.google.com/view/fujisawa-lab/
Research Field	Mathematical optimization, graph analysis, machine learning, deep learning, high-performance computing.
Objective	Solving various challenges faced by cities, regions, and the industrial sector through the realization of digital twins.
Current Topics	Creation of industrial applications enabled by the realization of digital twins. Development of mathematical models and algorithms for mobility optimization. Utilization of deep learning and quantum computing in production settings. Development of detection and tracking technologies for moving objects using deep learning. Large-scale data analysis using supercomputers.

Digital Twin Overview

	Prof. Masato MOTOMURA（Concurrent post of AI Computing Unit）
	Room	J3	Mail-Box	J3-30
	TEL	045-924-5654
	E-mail	motomura(at)artic.iir.titech.ac.jp　Please replace “(at)” with “@”.
	HomePage	http://www.artic.iir.titech.ac.jp/
Research Field	AI computing research (Research Unit, Institute of Innovative Research, since FY2019)
Objective	Establishing structure-oriented computing architectures for wide-range AI applications
Current Topics	Reconfigurable computing architectures for Deep Neural network (DNN) accelerators Ansemble learning accelerators Annealing machines and so on.

Annealing processor LSI with fully-parallel update for fully-connected spin systems STATICA (Stochastic Cellular Automata Annealer)

	Assoc. Prof. Daichi FUJIKI
	Room	J3	Mail-Box	J3-30
	TEL	045-924-5658
	E-mail	dfujiki(at)artic.iir.titech.ac.jp　Please replace “(at)” with “@”.
	HomePage	http://www.artic.iir.titech.ac.jp/
Research Field	Computer Architecture, AI Computing
Objective	Enabling next-generation computing system with data-centric computing
Current Topics	Processing-in-Memory, In-/Near-Memory Computing Domain Specific Architecture (AI, Genomics) Provacy-Preserved Computing Architecture Database Storage Engine and its AI-Based Acceleration

	Asst. Prof. Tatsuya KANEKO
	Room	J3	Mail-Box	J3-30
	TEL	045-924-5893
	E-mail	kaneko(at)artic.iir.isct.ac.jp　Please replace “(at)” with “@”.
	HomePage	http://www.artic.iir.titech.ac.jp/
Current Topics	Distributed Machine Learning Algorithm AI Computing for Edge-devices

	Asst.　Prof. Jin ZE
	Room	R2	Mail-Box	R2-58
	TEL	045-924-5303
	E-mail	jin.z(at)first.iir.isct.ac.jp　Please replace “(at)” with “@”.
	HomePage	https://suzukilab.first.iir.titech.ac.jp/
Current Topics	Development of a deep learning model dedicated to medical imaging Developments of deep-earning based computer-aided diagnosis (CAD) for medical images Deep-learning based quality improving method for low dose image