Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).
Professor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.
Professor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests in both teaching and research. He has contributed in the stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.
Title: POPBL - Project Organized Problem Based Learning Teaching Model
POPBL is a diversion from traditional scope of teaching. The essential elements of Problem Based Learning “PBL” are working with real world problems, peer collaboration, focusing on critical questions that frame the problem. Problems drive learning and development of analytical skills. PBL is an instructional methodology probing students to have deeper understanding of the subjects. Based on similar thoughts Project Organized Problem Based Learning “POPBL” is a concept conceived nearly 40 years ago at Roskilde University Centre and Aalborg University, Denmark.
The POPBL curriculum includes project supporting as well as non-project supporting courses in each semester, both of which are designed and included in the study curriculum alongside with the project to enhance learning on knowledge and comprehension level, Bloom’s taxonomy (Bloom, B.S., 1956). This learning has to be developed further to reach higher learning levels (application, analysis, synthesis, and judgement (Bloom’s taxonomy) through work with the project.
DANISH AZIZ is part of Analog Devices (ADI) sales force. He is responsible for Europe and active as Subject Matter Expert (SME) for RF products and systems. He is focusing on automotive applications e.g. Autonomous Driving Cars and Truck Platooning. He is representing ADI in 5G Automotive Association (5GAA). He holds a strong background in the research and development of 4G-LTE and 5G cellular systems. Over a decade, he worked as research scientist at Alcatel-Lucent Bell Labs Germany. Before joining ADI, he was leading the research activities on 5G Vehicular Communications (5G-V2X) at Nokia Stuttgart. He was involved in 3GPP standardization and actively contributed to several European and German funded projects. He served as the work package leader in METIS-I which was the first research project laying the foundations of 5G, funded by European Commission.
Title: Promises of 5G Communications and Requirements of Self Driving Cars
Self Driving Cars: Development and Optimization of Vehicular to Everything (V2X) Communications in 5G in Coexistence with DSRC (Dedicated Short Range Communications).
In modern world, connectivity is becoming the essential utility. Wireless connectivity for outdoor mobile users is mainly provided by cellular networks. We have already witnessed the performance of 4th Generation (4G-LTE) cellular networks. The world is moving towards the deployments of 5th Generation (5G), which promises to provide true mobile broadband and connectivity to billions of devices. This will enable us to develop, manage and operate efficient systems in every business. Road transportion system is one of the examples which requires a vital role of connectivity. Intelligent Transport Systems (ITS) is the initiative which has defined, standardized and realized the applications for safe, fuel efficient and smart mobility on the road. This implies that today‘s „vehicle“ will transform into the „smart phone with wheels“ or „smart vehicle“. Under ITS, cars will always be connected and communicating with each other using services and applications offered by Vehiclular Communications (V2X) technologies. The vision of ITS is to achieve the highest level of automation where cars will be driving autonomously. 5G connectivity will play the central role in realizing this vision. Due to extremely higher safety and reliability requirements in automotive world, it would not be enough for 5G to provide only mobile broadband and massive connectivity potential. It should provide the highest reliability and quality standards to enable the dream of a city with „Self Driving Cars“. With the help of this seminar we will develop an understanding of the features of 5G based cellular networks, the needs of autonomous driving and how 5G is going to address them.
Dr. Muhammad Faeyz Karim is a Senior Lecturer at Nanyang Technological University (NTU), Singapore. Before joining NTU, he was a Deputy Department Head/Project Manager/Research Scientist at Institute for Infocomm Research, A*STAR, Singapore. He had lead and managed R&D projects in the area of sensing, internet of things (IoT) and energy harvesting. He held a concurrent appointment as an Adjunct Assistant Professor at National University of Singapore (NUS) from 2009-2017. From 2005-2007, worked as a Test Engineer at Emerson Process Management, a US MNC.
Dr. Karim received his Ph.D. and MSc degrees from Nanyang Technological University (NTU), Singapore. He also holds a MBA from Lancaster University, UK. He has published more than 60 scientific papers and also co-authored a book on “RF MEMS Switches and Integrated Switching Circuits”. His research interest is in the broader area of RF & millimeter wave for sensing, internet of things (IoT) and medical applications, RF MEMS devices, active/passive millimeter wave imaging systems, RF & hybrid energy harvesting, printable electronics, Quantum sensing, tunable & reconfigurable filters, antenna miniaturization techniques, and passives modules & circuits, and radio-over-fiber technologies. He is a Senior Member of IEEE.
Title: Wireless Power Transfer and Harvesting
Internet of Things (IoT) related products are growing at double digits per year and some estimations report a market value in the order of trillions of dollars in the next decade. A great technological paradigm shift is going to be pulled by the development of IoT; green materials, autonomous systems, self sustainable, ultralow-power circuits, energy saving protocols, and energy harvesting (EH) are concurrently mandatory.
Limited device battery life has always been a key consideration as the frequent battery replacement/recharging is often costly due to the large number of sensor devices in use, and even infeasible in many critical and remote applications (e.g., sensors embedded in structures and implanted medical devices etc). Energy harvesting technologies harnessing energy from ambient power sources, such as vibration, heat, and electromagnetic waves/wireless, have recently attracted significant attention, and numerous energy harvesting systems, including energy harvesting devices, topologies, and circuitries, have been developed for ‘‘zero-power’’ self-sustainable standalone electronics.
The concept of wireless energy power transfer/harvesting has been proposed by Nikola Tesla and Heinrich Hertz: radiate wireless power to free space and convert the wireless power to usable direct current (dc) power. In this talk, I will review the prior arts and present the latest research done by my group in the area of wireless power transfer and energy harvesting.
Kok-Lim Alvin Yau received the B.Eng. degree (honors) in electrical and electronics engineering from Universiti Teknologi PETRONAS, Malaysia, in 2005, the M.Sc. degree in electrical engineering from the National University of Singapore in 2007, and the Ph.D. degree in network engineering from the Victoria University of Wellington, New Zealand, in 2010.
He is currently an Associate Professor at the Department of Computing and Information Systems, School of Science and Technology, Sunway University. He is a Researcher, a Lecturer, and a Consultant in cognitive radio, 5G, wireless networks, applied artificial intelligence, reinforcement learning, and deep learning. He serves as a TPC member and a reviewer for major international conferences, including ICC, VTC, LCN, PIMRC, Globecom, and AINA. He was a recipient of the 2007 Professional Engineer Board of Singapore Gold Medal for being the best graduate of the M.Sc. degree in 2006/2007.
Dr. Yau serves as an associate editor of the IEEE Access, an editor of the KSII Transactions on Internet and Information Systems, and a Guest Editor of Special Issues of IEEE ACCESS, IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence, IET Networks, and the Springer Journal of Ambient Intelligence and Humanized Computing. He is a regular reviewer for over 20 journals, including the IEEE journals and magazines, the Ad Hoc Networks, the IET Communications, and others. He also served as the General Co-Chair of the IET ICFCNA’14 and the Co-Chair of the Organizing Committee of the IET ICWCA’12. He is also the Vice-Chair of IEEE SIG on Big Data with Computational Intelligence.
Title: Reinforcement Learning: Current Applications and the Road Ahead
Reinforcement learning (RL), which is an artificial intelligence approach, enables autonomous decision makers to observe its surroundings, learn new knowledge, and select optimal actions to provide performance enhancement in a dynamic operating environment. RL has been adopted as the key enabling technology in a wide range of applications, from wireless networking, robotic to traffic signal control. In the next-generation wireless networks, particularly 5G, RL has been investigated to explore and use underutilized licensed channels in order to address spectrum scarcity problem, promote interoperation among heterogeneous entities, and provide intelligence and autonomous capabilities to support 5G core operations. In traffic signal control, RL has been investigated to manage traffic with the right traffic phase and its timing in order to ameliorate traffic congestion. Reinforcement learning, enhanced with deep learning, has shown to outperform human players. This talk presents various aspects of RL and their applications to establish a foundation, and to spark new interest, for further investigation in this exciting research field.
Dr. Hashmani has more than 25 years of broad IT experience both in the fields of research and development. He has done both his M.E. and Ph.D. from Nara Institute of Science & Technology, Japan in a very short duration of four years. He did B.E. (Computer Systems Engineering) in 1991 from Mehran University of Engineering & Technology, Jamshoro, Pakistan.
After Ph.D. he worked in NS Solutions Corporation, Japan for about three years. Here he supervised parts of a large governmental project (Japanese) and worked as a lead researcher and developer. He then worked for BBR (Broadband Research) Japan for about two years. Here he participated in a project which involved HDTV, VoIP and teleconferencing. As part of this project, Dr. Hashmani designed and developed a bandwidth broker to allocate and manage network bandwidth.
Besides industry experience of 5 years, Dr. Hashmani has worked in academia for around 20 years. He has on his credit many funded research project. He successfully supervised 7 PhD projects and 50 MS/MPhil projects.
He has more than 70 research papers (in journals and conferences of international repute) on his credit. His research areas of interest include: • Data Analytics • Artificial Intelligence • Soft Computing • Software Engineering • High Speed Communication Networks
Title: Industrial Revolution 4.0: Are We Ready?
Each Industrial Revolution (IR) improves the way we live, work and interact with each other using state of art technologies. IR-4.0 describes a future state of industry characterized thorough digitization of economic and production flows. The nine pillars of IR-4.0 are dependent on Big Data Analytics, Artificial Intelligence, Cloud Computing Technologies and Internet of Things (IoT). The core of this revolution is to improve the industries business processes through implementation of these technological advancements for achieving the aspiration of digital transformation. The adaptation of IR 4.0 in current industries demands systematic migration of legacy systems (hardware, software) and employee skill development. Certainly, it is unendurable for industries to compete or sustain in upcoming markets without taking some serious action towards the implementation of IR 4.0. However, due to increase of demand for specialized skills personnel from industries, academia needs to revise their existing curriculum towards IR 4.0. In addition, research community also needs to further investigate possible threat and optimization techniques to securely and smoothly step into IR 4.0.
This talk discusses some major concerns for the industries, academia and research community to set up their directions towards IR 4.0.