Special Lectures for 2010  

2008 /   2009 /   2010 /   2011
1. Special Lectures 1           2. Special Lectures 2


1. Special Lectures 1 forInformation Electronics Systems
          (Special Lectures 1 for Information Systems in GSIS)
               Room 204 of Research Building No. 2
May 28 (FRI) 8:50 - 12:00           【Prof. Michio Niwano】 
          Research Institute of Electrical Communications
Theme Analysis of Geometric Disctrete Structure and Design of Efficient Algorithms
Jun. 4 (FRI) 8:50 - 12:00           【Prof. Rikizo Hatakeyama】 
                    (Note: Conference Room 103 of Research Building No. 1)
          Graduate School of Electronic Engineering
Theme Nanodevice-oriented Nanoscopic Plasma Process Control
Jun. 11 (FRI) 8:50 - 12:00           【Prof. Junichi Murota】
          Research Institute of Electrical Communications
Theme Creation of Atomically Controlled Processing of Group IV Semiconductors and its Applications to Nanometer-scale Heterodevices
Jun. 25 (FRI) 8:50 - 12:00          【Prof. Nei Kato】
          Graduate School of Information Science
Theme Towards Realizing Comfortable Next Genaration Networks
Jul. 16 (FRI) 8:50 - 12:00           【Prof. Michitaka Kameyama】
          Graduate School of Information Science
Theme Intelligent Integrated Systems for Real-world Applications
Jul/ 23 (FRI) 13:00 - 16:10          【Prof. Kazuyuki Tanaka】
          Graduate School of Information Science
Theme Fundamental Theory of Probabilistic Computational Models for Inference Systems
2. Special Lectures 2 for Information Electronics Systems
            (Special Lectures for Information Systems in GSIS)      Second semester
Oct. 12 (TUE)     10:00 - 12:00 and 14:00 - 16:00    
「Lectures on How to Write Academic Papers and Introduction of Applied Algorithms」

      【Prof. Ivan Stojmenovic】    University of Ottawa, Canada
          Conference Room 103, Research Building No.1,
            Electrical, Information and Physics Engineering
Theme 1 How to Write Articles in Computer Science and Related Engineering Disciplines   (10:00-11:00)
Abstract This talk advocates a general way of presenting research articles on any topic and in any field related to computer science, information technology, and relevant engineering disciplines. Some examples and implications are given for the case study of wireless sensor networks. The key advice to a successful presentation is to repeat the description of main contribution four times: in the title, abstract, introduction (or chapter 1) and in the text. That is, make readable, appealing, and as complete as possible versions of the work using the order of 10, 100, 1000 and 10.000 words. This corresponds to the decreasing portion of readers for corresponding parts of the article. To the extent possible, each of these parts should address, in this order: the problem statement, existing solutions, the new solution(s), assumptions and limitations, analysis, simulation and comparison with best competing solutions.
Theme 2 Contribution of Applied Algorithms to Applied Computing  (11:00-12:00)
Abstract There are many attempts to bring together computer scientists, applied mathematician and engineers to discuss advanced computing for scientific, engineering, and practical problems. This talk is about the role and contribution of applied algorithms within applied computing. It will discuss some specific areas where design and analysis of algorithms is believed to be the key ingredient in solving problems, which are often large and complex and cope with tight timing schedules. The talk is based on recent Handbook of Applied Algorithms (Wiley, March 2008), co-edited by the speaker. The featured application areas for algorithms and discrete mathematics include computational biology, computational chemistry, wireless networks, Internet data streams, computer vision, and emergent systems. Techniques identified as important include graph theory, game theory, data mining, evolutionary, combinatorial and cryptographic, routing and localized algorithms.
Theme 3 Vehicular Ad Hoc Networks and Integrated Intelligent Transportation Systems  (14:00-15:00)
Abstract This talk reviews the components and algorithmic challenges of intelligent transportation systems: dynamic route selection, environmentally friendly driving, dynamic traffic light scheduling problem, reconfiguration of road network and traffic admission control, congestion modeling and forecast, and effective incentive and enforcement policies. ITS also includes vehicle-to-vehicle communication, with associated problems such as geocasting for congestion notification, vehicle to vehicle routing, and enabling application services for user devices. State of the art protocols for automotive networking and communication are described.
Theme 4 Data Dissemination and Routing in Vehicular Ad Hoc Networks  (15:00-16:00)
Abstract This talk reviews recent vehicle-to-vehicle communication protocols, with the emphasis on protocols addressing intermittent connectivity of vehicular ad hoc networks (VANET). Data dissemination enables congestion notification (among others) and is based on tasks such as diffusion and broadcasting to a region (geocasting), which rely on single-hop and multi-hop inter-vehicle communications, respectively. Vehicle to vehicle routing enables application services for user devices via multi-hoping to roadside units, and direct communication among vehicles. Common issues in VANET routing are discussed.
Nov. 15 (MON)     10:00 - 12:00 and 14:00 - 16:00    
[Lecture on Dynamic Spectrum Access in Cognitive Radio Networks]

             【Dr. Ekram Hossain, University of Manitoba, Canada】
                Place: Room 204, 2F, Research Building  No.2
                            Electrical, Information, and Physics Engineering
Theme Part I     10:00 - 12:00

Dynamic spectrum sharing through cognitive radios can significantly enhance the spectrum utilization in a wireless network. Simultaneous sharing of the frequency bands among primary and secondary users (i.e., cognitive radios) is possible by restricting the transmission power of the secondary users so as not to cause any harmful interference to the active primary users. In this talk, practical issues and potential approaches in design and engineering of channel access methods in a cognitive radio network will be described. In particular, two approaches, namely, the interference control approach and the interference avoidance approach will be discussed. With the interference control approach, a spectrum sharing method has to ensure the rate (or SINR) and fairness constraints for secondary users as well as interference constraints for primary users. With the interference avoidance approach, spectrum sensing has to be performed efficiently so that the utilization of spectrum holes can be maximized and also the QoS requirements for the secondary users are met. Issues related to design and engineering of multiuser (single-hop and multihop, single-antenna and multiple-antenna) cognitive radio networks will be discussed.

Theme Part II     14:00 - 16:00

In this part of the talk, a framework for resource allocation (i.e., transmission power and rate allocation and admission control) will be presented for cognitive radios for dynamic spectrum sharing using this interference control paradigm. A code-division-multiple-access (CDMA)-based wireless access scenario will be considered where the cellular users are considered as the primary users. The cognitive radios, which communicate in an ad hoc mode using single-hop transmission, are able to dynamically measure/estimate the interference from primary users at their receiving ends. The solution to the resource allocation problem for cognitive radios will be presented subject to their minimum signal-to-noise-plus-interference ratio (SINR) and transmission rate constraints and interference constraints for primary users. Since tracking channel gains instantaneously for dynamic spectrum allocation may be very difficult in practice, a case will be considered where only mean channel gains averaged over short-term fading are available. Due to the usage of mean channel gains (i.e., perturbation in the channel state information) this results in sub-optimal resource allocation for cognitive radios. To this end, for an ad hoc/distributed dynamic spectrum access scenario, using some results from the stability analysis of optimization problems, perturbation in allocated power and transmission rate to cognitive radios will be analyzed as a function of the number of secondary users.