SEMINARS AND CONFERENCES

The Computer Sciences Department of Lagos State University periodically organizes seminars where lectures on topical issues in this ever evolving field are delivered. These seminars apart from being funded by the department are extended to all and sundry thus adding value to the Academic World and the Society at large.

The table below shows details on the upcoming Seminars be held.

Time Table

S/N	DATE OF PRESENTATION	PRESENTERS	TOPIC	DESCRIPTION
1	24th February 2016	Dr M.A. Rahman	Writing Zero-Deficit Programs
2	31st May 2016	Professor B.S. Aribisala	How to conduct State of Earth Research
3	5th December 2016	Dr.O.A Enikuomehin	Improving the Pharmacovigilance Process using Text Corpus Analysis	The amount of data generated at the health care domain is enormous and such has helped in improving research in health care management and delivery. Pharmacovigilance involves the process of monitoring the effect of medical drugs on patients which includes awareness, drug monitoring and development. The concern pharmaceutical and clinical experts have is that the sources of information for the improvement and management of these drugs, including documentation of the adverse effect, is a result of mining users' feedback. Our concern in Natural Language Processing (NLP) is to help provide the best methods of mining these feedbacks as they are captured in Natural Language which are at best represented as text corpus for Electronic Health Records. This talk is to present the need for this intervention, new methods of building the pharmacovigilance knowledge domain including sentiment analysis of social media feeds, efforts that has been made so far, application domains and future direction. The talk will open chances of cross-platform collaboration.
4	5th December 2016	Professor B.S. Aribisala	Design and implementation of Medical Image Repository and Analyzer	Medical images are used for clinical diagnosis, treatment and patient management. There are many methods of acquiring medical images and each technique has its own application area, strengths and weaknesses. The recent advancements in medical image analysis has given birth to image guided therapy, virtual reality and augmented reality, all these among other innovations have greatly improved health delivery, improved quality of life and also saved lives. The cost of image acquisitions and limited availability of medical image analysts plus the need to share expertise amongst clinical experts have led to the recent idea of creating medical image repository. This has been greatly facilitated by the advances in internet and network technology which offer the tool to have a web based image repository accessible to privileged experts all over the globe, irrespective of their physical location. Such repository, even thou are available in some developed countries but are not available anywhere in Africa. The aim of this project is to create a web based image repository using African data and to make the repository available to privilege researchers at no cost. It is our hope that such useful, rear and unique tool will encourage collaboration, improve diagnosis, improve patient management and could also lead to increased life expectancy.
5	29th July 2016	Dr. Olawande Daramola	Knowledge-driven Requirements Engineering for Smart Systems and IoT	The upsurge of emergent technologies such as Internet of things (IoT), cloud computing, big data, mobile computing, computer networks and wireless sensor networks has led to the advent of more sophisticated user requirements. Today, there is a general preference for more intelligent software systems and a shift in orientation from the traditional notions of intelligence to smartness. For example people want a mobile phone that will be smart enough to meet their immediate needs. A major requirement in developing smart systems is ability to capture users' requirements. Previous studies have shown that the primary reason why most software projects fail is poor understanding and handling of users' requirements. Therefore, attending to users' needs during the development of smart systems is of great importance. This talk will provide a template for managing user requirements for smart systems. It will also attempt to answer the following questions: 1. Are there conceptual and fundamental differences between requirements for intelligent systems and smart systems, which should influence the way smart systems are architected? 2. How do we elicit, model, prioritize and validate requirements for smart systems to yield efficient and dependable smart systems? 3. With the advent of Internet of Things (IoT) and the preponderance of data (Big Data), how can we enable smartness in software systems to a reasonable level? 4. Is it possible to draw value from different kinds of available knowledge in order to facilitate successful requirements engineering of smart systems?
6	30th August 2016		A framework for Diagnosis of Tropical Confusable Diseases using Fuzzy Cognitive Map Technique: Case of Malaria Diagnosis	A framework for Diagnosis of Tropical Confusable Diseases using Fuzzy Cognitive Map Technique: Case of Malaria Diagnosis Tropical diseases are those diseases that are prevalent in, or unique to tropical and subtropical regions. They are of concern to communities, health organizations and individuals because of: 1) difficulty in early diagnosis, and 2) high mortality rates. The task of making an effective and efficient early diagnosis of tropical diseases is pivotal in ensuring that the illness does not take a dangerous trajectory. Moreover a quick and accurate diagnosis and timely initiation of treatment is a sine-qua-non to the reduction of complications, costs and human suffering. In addition medical diagnosis, like other diagnostic processes, could be made more complex because of the level of possible imprecision involved. Patients may not be able to describe exactly what has happened to them or how they feel; doctors and other health care practitioners may not interpret exactly what they hear or observe. Hence the conceptualization of a Fuzzy Cognitive Map based Decision Support System framework for medical diagnosis. This talk will present: 1. A FCM model for case of malaria diagnosis 2. A proposed DSS architecture that make use of the FCM-based inference engine for diagnosis