Chief Information Officer / Director
Universiti Kebangsaan, Malaysia.
Dr. Mohamed Amin Embi, is currently working as Professor, in the Faculty of Education at Universiti Kebangsaan Malaysia. He is the Director at Centre of Teaching and Learning Technologies, UKM and the President of the Mobile Learning Association of Malaysia. His major research areas are e-Learning, language learning strategies and the mobile learning. For his outstanding and significant work in e-learning, he has received numerous prestigious international awards including the Open Education for Excellence Individual Educator Award 2016 and the ISESCO Prize for Science and Technology. He has published more than 300 papers in peer reviewed journals and international conferences.
Whether we like it or not, the fourth industrial revolution will ultimately transform the landscape of higher education. Global connectivity, smart machines and new media are some of the drivers reshaping how we think about work, how we learn and develop the skills to work in the future. Most people will have at least four to five different careers, requiring fundamental reeducating, whilst the relentless speed of innovation will constantly demand new skills and knowledge to keep pace. Educationalists today are still debating what the future of education (Education 4.0) will look like - the many ways in which the content of education and the process of learning will need to change over the years ahead. In principle, Education 4.0 should harnesses the potential of digital technologies, personalized data, open sourced content and the new humanity of this globally-connected world. The problem is that most educators are still teaching the way they were taught in the past. Hence, there is a need to revisit the traditional conception of teaching often referrred to as pedagogy. It is time that we explore new ways to redesign learning including e-Learning so that it is relevant to the growing challenges of preparing our students to function in tomorrow's world. In this regard, this keynote postulates the need for educators to rethink their conceptions of teaching and redesign their students' learning experiences so that they meet the needs of Education 4.0.
Head of the Intelligent Medical Imaging
Universiti Teknologi PETRONAS.
Dr. Ibrahima Faye is presently associated with Universiti Teknologi PETRONAS, Malaysia. He isworking as Deputy Director at Centre for Intelligent Signal and Imaging Research (CISIR), UTP. In past he was associated as research fellow with University of Toulouse, France and University of Chile. He is a senior member of IEEE Computational Intelligence Society (CIS) and Engineering in Medicine and Biology Society (EMBS). He has collectively received more than 38 Million rupeesresearch fund on different projects, related to Machine Learning, Pattern Recognition, Signal and Image Processing. He has filed 8 patents and published more than 100 articles in indexed journals and international conferences.
Pattern Recognition has been playing a fundamental role in many intelligent systems. For most cases, the primary stage consists in differentiating various possible patterns of an input data. The efficacy of this primary stage highly impacts the final intelligent system. The talk will discuss the implementation of pattern recognition techniques in intelligent systems from very different contexts. In industrial applications, examples will be given in the development of automatic product defect detection in an inspection line. In biomedical applications, examples will be given in the construction of computer aided diagnosis systems for various disease as well as in automatic classification of proteins into protein families. In psychology, examples will be given in the construction of emotion recognition systems. With the recent advances in deep learning techniques, new perspectives appear in the development of intelligent systems. The talk will discuss some of the recent applications of deep learning techniques along with the perspectives and hallenges.
Sleeknote ApS, Denmark.
Dr. Tahir Riaz is working as "Data Architect" at Sleeknote ApS, Denmark. Prior to this he was Associate Professor at Aalborg University, Denmark. He has been involved in several ICT related projects and authored or co-authored several papers published in conferences, journals, and technical reports. His current research is focused on Internet of Things (IoT), Wireless Broadband Networks, Network Planning and Design and Quality of Service issues in network infrastructures.
The talk will look at big data analytics from a certain angle; knowing the knowns and unknowns. Big data analytics is one the most impacting areas of information technology today, and it is expected that the trend will further accelerate. The talk will sail through the evolution of big data analytics in industry and academia. The questions such as what is the current state, and what are the future trends in big data analytics will be answered. The talk will also dig into at what are the important areas where big data analytics will be impacting more.
Dean CBM and CES,
Institute of Business Management, Karachi, Pakistan.
Dr. Irfan Hyder, is the Dean, College of Business Management (CBM) and College of Engineering & Sciences (CES) at IoBM. He has a wide experience in academic leadership, consultancy, entrepreneurial ventures, research and as a motivational speaker. In his career spanning over 18 years, he has worked in leadership positions at various organizations. He was deputy director at IBA and Dean and VP of PAF-KIET. His current research interests includes strategic management, school and higher education, experiential learning, semantic (ontology based) software engineering, and analysis of classical texts. He has published more than 50 articles in various journals and international conferences.
AI is facing the same challenge today from data sciences that was faced by Chomsky's Cognitive Psychology when it confronted Skinner's Behavioral Psychology in early 1950s. The basic issue is whether "intelligence" can simply be understood by observing the input-output relations over a black-box representation of the mind? Is the success of Google data science in predicting outputs usefully from deep statistical analysis of big-data of billions of similar input-output relations a sign of artificial intelligence? Does accuracy of proving its machine generated conjectures through big data analytics can actually replace the need of humans to do science, i.e. to develop hypothesis, design experiments, observe results and develop theories? This talk focuses on some of the questions raised by Chomsky about the recent advancements in AI and draws parallel with clash of Cognitive Psychology with the Behavioral Psychology in the 1950. This talk would illustrate through this parallel the need for AI to understand and develop the internal representations of how humans intelligence work.
Distinguished National Professor, DEAN,
Faculty of Electrical, Electronics, & Computer Engineering,
Mehran University of Engineering & Technology, Jamshoro - Pakistan.
Dr. Bhawani Shankar Chowdhry is Professor and the DEAN of Faculty of Electrical, Electronics, & Computer Engineering at Mehran University of Engineering & Technology, Pakistan. His list of research publication crosses to over 60 in national and international journals, IEEE and ACM proceedings. His research work in the area of Wireless Sensor Networks resulted in a number of publications and one book. He is the recipient of Millennium Gold Medal, in Star Awards South Asia Publication in 2002 and Presidential Highest Academic Distinction Award (Izaz-e-Fazeelat) in 2009. He is also actively serving national and international professional and scientific bodies in various capacities including: Chairman IEEE Communication Society, Karachi Chapter.
In the present time, universities, education regulators and teachers are involved in much discussion on how to best prepare engineers for future jobs in the industry. In this regard, questions such as "Should industry standards be taught as a discipline for its own sake or for the body of knowledge, skills and values to be derived from it (or both)?" and "Are projects executed during study as part of curriculum sufficiently providing the students exposure required to deliver on real-world job projects?" remain central issues in shaping the approach of teachers and policy makers alike.
To address these questions, approaches such as Cooperative Learning, may provide opportunities for promotion and adoption of best practices, developing linkages with industry, stimulation of innovation and diversity in engineering education in keeping the pace with changing scenario of world. The idea of Co-operative learning is to intertwine academic and practical training in architecture that puts equal emphasis on theoretical knowledge as well as skills required for practical jobs. By introducing mandatory placements in companies and merging them in to study cycle of a degree course, future graduates could be better prepared for jobs nationally and internationally respectively.
The presentation will also focus on how to become partner in Horizon 2020 which is the biggest EU Research and Innovation program ever with nearly 80 billion of funding available over 7 years (2014 to 2020) - in addition to the private investment that this money will attract. It promises more breakthroughs, discoveries and world-firsts by taking great ideas from the lab to the market.
National University of Computer and Emerging Sciences.
Dr. Hasina Khatoon is Professor & Director at the National University of Computer and Emerging Sciences (FAST-NU). She has over 25 years of teaching experience at both graduate and undergraduate levels and served as a faculty member in various institutes including NED University of Engineering and Technology. Her major areas of interest include High Performance Computing with special emphasis on new and emerging architectures including multicore processors. Other areas of teaching and research include Distributed systems, Microprocessor based system design, Parallel Computer Architecture, Operating Systems and Parallel Processing as a problem solving paradigm. She has also held various administrative positions at both FAST-NU and NED UET.
The changing face of technology and the growing application demands have given rise to a number of debates. One such debate is centered around the growing performance requirements of present and future applications and the current trends in hardware and software performance improvements to deal with these requirements. A paradigm shift is required in high performance computing architectures and their corresponding operating system features to tackle the needs of future applications. New technological innovations are required due to the expected closure of Moore's Law and other scaling technologies. The talk will give an overview of various initiatives that have been taken in recent times to counter these issues. The innovations and emerging solutions proposed to meet the above-mentioned challenges shall also be discussed. The maturing of quantum computing and its implications on conventional computing paradigms shall be explored.