“It's Not Just About Ideas It's about making Ideas happen”
Future Of AI
AI is going to change the world more than anything in the history of mankind. The Future Is Now: AI’s Impact Is Everywhere
HOW ARTIFICIAL INTELLIGENCE WILL CHANGE THE FUTURE
Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.
AI is projected to have a lasting impact on just about every industry imaginable. We’re already seeing artificial intelligence in our smart devices, cars, healthcare system and favorite apps, and we’ll continue to see its influence permeate deeper into many other industries for the foreseeable future.
Artificial intelligence is drastically important to our future because AI forms the very foundation of computer learning. Through AI, computers have the ability to harness massive amounts of data and use their learned intelligence to make optimal decisions and discoveries in fractions of the time that it would take humans. Artificial intelligence is becoming responsible for everything from medical breakthroughs in cancer research to cutting-edge climate change research.
Duration: 45 Minutes with Q & A
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Rayner Alfred is an Associate Professor of Computer Science at the Faculty of Computing and Informatics, Universiti Malaysia Sabah in Malaysia that focuses on Data Science and Software Engineering programmes. He leads and defines projects around knowledge discovery, information retrieval and machine learning that focuses on building smarter mechanism that enables knowledge discovery in structured and unstructured data. His work addresses the challenges related to big data problem: How can we create and apply smarter collaborative knowledge discovery and machine learning technologies that bridge the structured and unstructured data mining and cope with the big data problem.
Rayner completed his PhD in 2008 looking at intelligent techniques using machine learning to model and optimize the dynamic and distributed processes of knowledge discovery for structured and unstructured data. He holds a PhD degree in Computer Science from York University (United Kingdom), a Master degree in Computer Science from Western Michigan University, Kalamazoo (USA) and a Computer Science degree from Polytechnic University of Brooklyn, New York (USA) where he was the recipient of the Myron M. Rosenthal Academic Achievement Award for the outstanding academic achievement in Computer Science in 1994. He has authored and co-authored more than 100 journals/book chapters and conference papers, editorials, and served on the program and organizing committees of numerous national and international conferences and workshops.
Rayner is currently a member of IEEE, a Certified Software Tester (CTFL) from the International Software Testing Qualifications Board (ISTQB), and also a certified IBM DB2 Academic Associate (IBM DB2 AA). He leads the Advanced Machine Intelligence (AMI) research group in UMS and he has lead several projects related to knowledge discovery and machine learning on Big Data. Rayner is also the recipient of the Research Fellow at Japan Advanced Institute of Science and Technology (JAIST), Japan. He is also the recipient of multiple GOLD awards at national and international research exhibitions in Data Mining and Machine Learning based solutions (Face Recognition and Knowledge Discovery), that include International Trade Fair Ideas in Nuremberg, Germany (iNEA2018) International Invention Innovation Competition in Toronto, Canada (iCAN 2018), Seoul International Invention Exhibition in Seoul, Korea (SIIF 2010). He has secured RM6,931.433.00 worth of project grants. Some of his project researches include biometric authentication using face recognition, building security based on plate number recognition using deep learning, sentiment analysis for Malay and English in measuring public opinion, news-news correlation trending, machine learning algorithm based solution for predicting diseases in health care, smart monitoring using an ensemble based face recognition system and smart information management and retrieval to name a few. Some of the completed projects include Semantic Multi-Agent For Knowledge Sharing, developing an Evolutionary-Based Ensemble Classifier Framework for Learning Big Relational Data, developing a geneticbased hierarchical agglomerative clustering technique for parallel clustering of bilingual corpora based on reduced terms, enhancing document Clustering By Integrating Semantic Background Knowledge and Syntactic Features Into the BOW Representation and the fundamental Study on an Evolutionary Based Features Construction Methods for Data Summarization Approach to Predict Survival Factors of Coral Reefs in Malaysia, to name a few and also infrared face recognition based on ensemble approach. He has also delivered several keynote speeches to the public and private sectors on Transforming eGovernment to Smart Government, Industrial Revolution 4.0, Digital Transformation, e-Commerce and Research and Innovation.
Effective Ways of Writing Research Article & Points to be remembered while writing an article
“Keeping abreast of the latest trends in scholarly publication is necessary for researchers”
The dissemination of research outcomes is an important part of scientific research. In this programme, You will discover How to handle things while Writing Research articles with greater confidence. This workshop provides tips and advice on writing scholarly research and how to structure or organize a journal article.
Among the discussions are:
- Tips & Tactics for Article writing
- How to turn your brilliant ideology into a research paper?
- Tips to avoid mistakes in research article writing
- How to write review article and research article?
- To Enhance your skills in research disciplinary
- How to identify your target audience
- Things to be remember while Finalizing the article
Duration: 45 Minutes with Q & A
Jihane Benmassoud is a professor at the School of Technology in Essaouira, Cadi Ayyad University, Morocco, and an associate member of Tanit, a multi-disciplinary research group on gender at Moulay Ismail University, Morocco. She is also a professor in the Global Understanding Program at East Carolina University.
She is a Reviewer in different international journals such as English Language Pedagogy Journal and a guest editor in REila Journal of Research and Innovations in Language. She has participated in many national and international conferences as an organizer and a participant, and her previous studies are related to different disciplines including Applied Linguistics, Gender and Media.