title image

Graduate School of Information Science, NAIST
Spring Seminar
Feb. 23-24, 2017

Spring Seminar 2017 will be held on the Graduate School of Information Science, NAIST, on February 23-24. You can experience the cutting-edge research on Information Science during this Spring Seminar.

We are looking forward to your application!

Date Feb. 23 - 24, 2017
Venue Graduate School of Information Science, NAIST (Takayama 8916-5, Ikoma, Nara 630-0192, Japan), or Online
Intended audience Education higher than undergraduate including non-academic applicants who are planning to become IS students.
If you are not a candidate, please apply the Lab tour
Capacity Depends on each theme (please check the table below).
If the number of applicants exceeds the capacity, a selection process will be done by the corresponding laboratory.
NOTE: Only one theme can be applied for each laboratory.
Admission fee FREE! However, we don't cover any travel or accommodation costs.
Application form
Contact us Spring Seminar Committee
ss1608[at]is.naist.jp

What's new

Schedule

Themes

  1. Develop your original smart sensor node
    2. Laboratory: Computing Architecture
    Summary: FPGA (Field Programmable Gate Array), a customizable soft hardware, is becoming major in a very wide range of applications, such embedded system and date centers. In this seminar, we develop a small but smart sensor node by using an FPGA. Beginners of hardware development are welcome!
    Capacity: 4
    Qualification: none
  2. Algorithm design toward molecular robots
    3. Laboratory: Dependable System
    Summary: Recently DNA-based sensors, actuators, and logic gates have been developed, and now molecular robots, which are composed of these materials, are also under development. Since molecular robots are very weak compared to common robots, we need new algorithms to control molecular robots. In this seminar, we will design algorithms to make multiple molecular robots execute a task cooperatively.
    Capacity: 3
    Qualification: None
    4. Laboratory: Ubiquitous Computing Systems Laboratory
    Summary:
    Capacity: 2
    Qualification:
    5. Laboratory:
    Summary:
    Capacity: 3
    Qualification:
  5. Car route navigation by genetic algorithms
    6. Laboratory: Mobile Computing Lab
    Summary: Genetic algorithms are optimization algorithms using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Routing for navigation can be optimized by evolving the routes, and as a result, flexible navigation can be realized. In the seminar, the participants will change the objective functions and parameters for the algorithm and see the output route changes accordingly.
    Capacity: 3
    Qualification: Beginners are welcome
  6. Simulation: Theory and Practice
    7. Laboratory: Mobile Computing Laboratory
    Summary: The goal of this project is to gain the ability of developing customized simulators. The project involves learning simulation theory (elements of probability, generating random variables and discrete event simulation approach, etc.) and simulation programming practice.
    Capacity: 5
    Qualification: Experience in C/C++/Java programming
  7. Construction of a Parallel Distributed Learning System
    8. Laboratory: Mobile Computing Laboratory
    Summary: Mobile agents are computer software to execute processes on computers through a network. In addition, recently machine learning such as deep learning has been attracted public attention. In this seminar, the participants will construct a mobile agents-based parallel distributed learing system using a development platform, program library, and several devices such as the Raspberry Pi. The participants will confirm that mobile agents learn, run, and move through a network.
    Capacity: 3
    Qualification: none
  8. Open Source Software Development Simulation
    9. Laboratory: Software Engineering Lab
    Summary: We are using so many open source software like smart phone (e.g., Android OS), ATM (e.g., Linux, Apache HTTP) in our life. That means talented people who can use, build open source software, and join open source software project are requested from now on. This seminar aims to simulatively experience open source software development simulative.
    Capacity: 5
    Qualification: Beginners are welcome, but having programming experience is a plus.
  9. Mining Fine-Grained Bug Fix Histories
    10. Laboratory: Software Engineering
    Summary: How do bugs occur and spread in large-scale software development? Based on previous studies, we will conduct a new study of analyzing bug-fix histories with our fine-grained version control system, Historage. If we can obtain new results and you will be interested in, we can work on writing a paper after this seminar too.
    Capacity: 3
    Qualification: Programing experience
  10. Let's find bad parts of software !!!
    11. Laboratory: laboratory for software design and analysis
    Summary: Many tools on automatically analyzing bad parts and discovering bugs from programs has been developed. In this theme, we use these tools to analyze the source code of browsers such as Mozilla Firefox and Google Chrome. Furthermore, you can analyze the source code of your undergraduate exercises, if you want.
    Capacity: 3
    Qualification: Programming experience
  11. Virtual network programing for Cloud computing
    12. Laboratory: Software Design and Analysis
    Summary: In this seminar, we will learn about virtual network programing, which is an emerging technology for Cloud infrastructures. Cloud computing has been actually brought on by server virtualization, but for the next step, network virtualization has been also focused on. SDN (Software Defined Network) technology, introducing programmability into network infrastructures, has therefore gathered a lot of attention. We will learn how to program virtual networks using OpenFlow, a typical implementation of SDN.
    Capacity: 3
    Qualification: Basic programming skills. Experience in Ruby is preferred.
    13. Laboratory:
    Summary:
    Capacity: 2
    Qualification:
    14. Laboratory:
    Summary:
    Capacity: 2
    Qualification:
  14. Discovering Knowledge from Bigdata
    15. Laboratory: Augmented Human Communication Lab
    Summary: Using Apache Spark, we discover knowledges from huge amount of tweets. This lecture includes how to obtain bigdata, preprocessing, knowledge discovering, and visualization. We also discuss for discovering how to earn high quality knowledges.
    Capacity: 2
    Qualification: Beginners are welcome.
  15. Introduction to machine learning and its application to a brain computer interface
    16. Laboratory: Augmented Human Communication Lab
    Summary: We present a introduction to EEG data recording, EEG signal processing, and statistical machine learning which are important for a brain computer interface (BCI). We finally implement a simple BCI system.
    Capacity: 5
    Qualification: Beginners are welcome.
  16. Developing useful machine translation system "just for yourself"
    17. Laboratory: Augmented Human Communication Lab
    Summary: Data-driven machine translation systems attract a great deal of attention. Such a system learns translation knowledge from a large number of translation examples to translate automatically. In this seminar, we try to develop a machine translation system that is useful for you, using appropriate translation examples selectively.
    Capacity: 4
    Qualification: Programming experience in Python, Ruby, or Perl Command line UI experience
  17. Individual conversational system
    18. Laboratory: Augmented Human Communication Lab
    Summary: Artificial intelligence programs such as spoken dialogue system, which responds to human utterances, are widely used in several situations. Conversational system that makes conversation with users on a variety of domains is especially receiving a lot of attention. We try to develop a conversational system that has your own specified character, by selecting training data of the system in this seminar.
    Capacity: 4
    Qualification: Programming experience in Python, Ruby, or Perl Command line UI experience
  18. Understanding Your Speech with Automatic Speech Recognition System
    19. Laboratory: Augmented Human Communication Lab
    Summary: Let's develop a machine that can automatically recognize natural spoken language. We'll start from learning the basic technology (e.g., ""What is human speech from machines point of view?"", ""What challenges in developing speech recognition?"", etc). Finally, we'll work together on developing speech recognition system that understand your speech about your favorite story.
    Capacity: 2
    Qualification: Beginners are welcome, but having programming experience is a plus.
  19. OST-HMD calibration with C++ and OpenCV
    20. Laboratory: Interactive Media Design Laboratory
    Summary: Optical See-Through Head-Mounted Displays (OST-HMDs) display graphics in the userfs field of view without occluding the scene around them. For Augmented Reality (AR) applications the displayed content must be aligned with the observed scene. As such, the relation between the OST-HMD and the userfs view must be calibrated to create a good AR experience. In this seminar the participants will learn and implement a camera calibration routine, a manual calibration routine for OST-HMDs, and apply the results to create an AR application.
    Capacity: 8
    Qualification: Required: - C++ programing experience Beneficial: - OpenCV programming experience - Unity programming experience
  20. Making photorealistic computer graphics from photometric measurement
    21. Laboratory: Optical Media Interface Lab.
    Summary: Photorealistic computer graphics is an image of computer modeled scenes with a quality as close to real scene as possible. One of the key techniques in it is measuring the photometric properties of a real object based on computer vision technique. In this seminar, the participants can learn computer vision technique to capture the realisticity in real object and computer graphics technique to apply it onto computer modeled scenes.
    Capacity: 3
    Qualification: Programming experience in C/C++
  21. Generation of grasping motion by robot arm based on object detection
    22. Laboratory: Robotics
    Summary: In this seminar, you will learn and experience how to control a robot arm and a robot hand to grasp different objects automatically. The grasping motion will be generated by detecting the size and the sharp of object in real-time. You will have a chance to learn the basic knowledge of robotics, such as robot control, image processing, machine learning, and so on.
    Capacity: 2
    Qualification: Programming experience
  22. Image Recognition using Deep Learning and Robot Motion Generation
    23. Laboratory: Robotics Laboratory
    Summary: In order to implement the service robot that works in our daily lives, we obtain the knowledge to integrate the image recognition using deep learning and a robot motion generation.
    Capacity: 3
    Qualification: Programming experience
  23. Bio-inspired robot control and AI
    24. Laboratory: Intelligent System Control
    Summary: Recently, robot control and artificial intelligence (AI) are attracting attention. Sometimes they may sound difficult, but there are many intuitive aspects that are inspired by animals. We study several techniques learned from their skill and flexibility. In practical training, we challenge robot motion control using reinforcement learning, which is one of the AI. Through this seminar, you will feel excellence of animals and possibility of robot.
    Capacity: 4
    Qualification: Programming experience
    25. Laboratory:
    Summary:
    Capacity: 4
    Qualification:
    26. Laboratory:
    Summary:
    Capacity: 5
    Qualification:
    27. Laboratory:
    Summary:
    Capacity: 5
    Qualification:
  27. Data Science of Human Anatomy
    28. Laboratory: Imaging-based Computational Biomedicine
    Summary: Medical imaging such as CT or MRI is ubiquitous in hospitals and is an essential tool for diagnosis and treatment planning. Currently, medical imaging is used for checking an individual patient. An emerging research field called 'Computational Anatomy' digs into information buried in medical images of a large cohort to reveal essential questions in population study, e.g., what is the variation of organ shapes in human beings?, what is the characteristic organ shape specific for a certain disease? In this summer camp, the participants will learn basics of computational anatomy and implement simple software by themselves.
    Capacity: 3
    Qualification: Programming experience is a plus
  28. Mathematical Science for Image-guided Surgery
    29. Laboratory: Imaging-based Computational Biomedicine
    Summary: The car navigation system tells you where you are with the assistance of the Global Positioning System (GPS) and is becoming an essential tool for drivers. The same technology is becoming popular in surgery. The surgical navigation system localizes the patient and surgical tools using a 3D tracking sensor, which helps surgeons to identify the position and orientation of the tool with respect to the patient. It improves safety in an accuracy-critical surgery such as needle insertion into a deep target or implantation of an artificial object into the patient's body. In this summer camp, the participants will learn basics of the surgical navigation system using an actual tracking sensor and a human body phantom, as well as discuss about its advantages and disadvantages from the surgeon's perspective.
    Capacity: 3
    Qualification: Programming experience is a plus
    30. Laboratory:
    Summary:
    Capacity: 5
    Qualification:

Lab tour

Please visit Lab Tour.

Access

Please visit Access Map.

Accommodation

Please visit FAQ(in Japanese).

Past Seminars(in Japanese)