International Conference on Innovations in Info-business & Technology

The 4th annual “International Conference on Innovations in Info-business & Technology (ICIIT 2023)” will be held on 04th August 2023 at Galadari Hotel, Colombo under the theme “Unlocking digital potential for economic growth in emerging regions”. ICIIT will bring together academia, industry, technologists, and research scholars . The conference will have plenary talks, keynote addresses by leading international research scholars, tutorials & workshops by domain experts, research paper presentations, Industry exhibits, and booths.

Given the far-reaching impact of the COVID-19 pandemic, the world is searching for new practices, methods, and technologies to recover, rebuild and improve the way society operates when navigating the challenges of the post-Covid era. The ICIIT 2023 is a well-timed conference that aims to delve into the multi-layered topic of how society can emerge stronger and more resilient to face post-Covid challenges and growth. It presents an excellent opportunity for all stakeholders to revisit and re-evaluate our assumptions, decisions, practices, and collaborations with the aim of formulating new workflows and techniques in e-businesses, e-services, e-societies, and e-learning for a better, sustainable future.

The conference is focused on three main tracks;

Data Science & AI
Computing
Technology of Business

Event Speakers

Prof. Dr. Rudolf Haggenmüller has been involved in R&D and technology innovations his entire professional life. The mathematician, who holds a professorship at Ludwig-Maximilians-Universität in Munich, worked for Siemens, among others, and headed the Research Institute for Applied Software Technology (FAST). He was also Chairman of ITEA, a company for the promotion of innovative, industry-driven software research and development projects in Europe.

Jinchang Ren (M’05, SM’17) received his B. E. degree in Computer Software, M.Eng. in Image Processing, D.Eng. in Computer Vision, all
from Northwestern Polytechnical University, Xi’an, China. He was also awarded a Ph.D. in Electronic Imaging and Media Communication
from the University of Bradford, Bradford, U.K. Currently he is a chair Professor of Computing Sciences, National Subsea Centre, School of
Computing, Robert Gordon University, Aberdeen, UK. His research interests focus mainly on hyperspectral imaging, image processing,
computer vision, big data analytics and machine learning. He has published 300+ peer reviewed journal/conferences articles, and acts
as an Associate Editor for several international journals including IEEE Trans. Geoscience and Remote Sensing and J. of the Franklin Institute et al.

Prof. Tamas Kiss is a professor of Distributed Computing at the School of Computer Science and Engineering and Director of the University Research Centre for Parallel Computing at university of Westminster. Since 2020 he is the Editor in Chief at the Journal of Grid Computing published by Springer Nature. Prof. Tamas hold a PhD in Distributed Computing, and MSc Degrees in Mathematics and Computer Science, and Electrical Engineering. He has attracted over £50 Million research funding and have been leading national and European research projects related to enterprise applications of cloud computing technologies. He has been involved in more than 20 European and UK funded research projects as principal investigator or co-investigator.

Uma, Thayasivam is a professor of statistics and data science in the department of mathematics and department chair at Rowan University USA. He has an extensive expertise in robust estimation with mixture models and his interdisciplinary statistical research have spanned diverse areas including data mining, robust estimation, speaker recognition systems, spoof detection and spectrum sensing. Prof. Umashanger Thayasivam is pursuing several lines of research to identify and validate the use of statistical learning/data mining methods with multidisciplinary data. Projects include: Biomarker discovery for neurogenerative diseases; Peak detection with maximum entropy principal; Clustering mix attributes – network security; Spoof detection and Speaker identification/verification in biometrics; Assessing robust methods for analyzing multivariate data; and Telemedicine/Telehealth statistical learning.

Stewart received his PhD (2006) on Knowledge Management for Case-Based Reasoning Systems from RGU, where he continues to work as a Senior Research Fellow with the Artificial Intelligence (AI) research group. He has more than 15 years research experience in AI developing improved machine learning, information retrieval, recommendation and data mining technologies. His research applies these technologies to the development of applied solutions for text and multi-media applications, as well as more recently for sensor networks. Stewart has published over 70 peer-reviewed papers in leading journals and conferences including Artificial Intelligence, IJCAI and AAAI; and serves as PC member for several international conferences including KSEM, ICCBR, ECIR, EANN and IJCAI.

Dr. Gerard Fernando is the Chief Scientific Advisor for Zone 24×7, Inc. He has responsibility for technology development with emphasis on data security, system performance and optimization, data science and machine learning. He has more than twenty-five years’ experience working for Fortune 500 companies in the high technology area. He specializes in technology commercialization – from basic research to product launch. Dr. Gerard has a BSc and PhD in Electrical Engineering from Imperial College, London, UK. Gerard has lead standards efforts in ISO and IETF relating to Java, media delivery, security and video codecs. He has worked at Sun Microsystems Inc. in USA, Philips Electronics in UK and ZTE Corporation in China.

Dr. Radheeka is a Researcher with 15+ experience in hands-on quantitative research, statistical modelling, data analytics, causal inference, experimental design, and survey design. Has a strong track record of influencing product development by eliciting user and product insights from experiments, observational data sets, lab-based studies, and surveys. Experienced in building and leading analytical research teams. Dr. Radheeka is working with Meta (Former Facebook) as a Manager, Monetization Product Research, Research & Development, California, United States for the past 9 years.

Dr. Alexander Bolotov is a Principal Lecturer and Software Systems Engineering research group leader. He holds a PhD in Logic from Lomonosov Moscow State University and a PhD in Computer Science from the Manchester Metropolitan University. Alexander has authored or co-authored more than eighty publications and edited several volumes of the conference proceedings. He is a chair of the UK Automated Reasoning Workshop, the leading UK forum in the area with 27 years of history. He has been involved in a variety of research projects including EC and Research UK funded projects. Alexander has been recently led the development of the knowledge and learning repository SMARTEST. (https://smartestknowledge.org/).

Mr. Senaratna is a Technical and Product Consultant for project optimizing goal planning, meetings, and action completion for large organizations using Artificial Intelligence, Operations Research, and Integrated Engineering techniques. Mr.Nuwan holds a Master of Science in Computer Science (MSCS), Computer Science in AI with a Distinction in Research from Stanford University School of Engineering.