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Keynote Speakers

Prof. Dr. Md. Saifur Rahman

Director, Advanced Research Institute Virginia Tech, USA President, IEEE Power & Energy Society 2018 and 2019

Title : Energy Efficiency in Smart Buildings through IoT Sensor Integration

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Prof. Dr. Hiroyuki Okada

Department of Electrical & Electronic Engineering, University of Toyama, Japan

Title : Progress of self-alignment organic and oxide TFTs

Recently, many researchers have now studied organic and oxide thin-film transistors (TFTs) with the aim of displays and flexible driven circuit applications. In order to establish higher operational performance, the self-alignment technology is suitable for smaller parasitic elements. In addition, many technological structures of top- and bottom-gate and vertical structures are fascinating us for research aspects. In the previous conference (ICECTE’19), I have introduced a part of our research work, especially in the organic TFT. In this time, I would like to present all of our research work the self-aligned organic and oxide TFTs and related technologies, i.e. self-alignment technology using back-surface exposure, an integrated circuit using super buffer configuration, ring-oscillator, top and bottom gate type TFT, fully self-alignment structure, vertical transistors and complementary configuration combined with p-channel organic and n-channel oxide TFTs are reported.

Prof. Dr. Nowshad Amin

Professor of Renewable Energy and Solar Photovoltaics, Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional

Title : Thin Film Flexible Solar Cells for Novel Applications

Solar energy, undoubtedly, in the form of solar photovoltaic technology has demonstrated to be the most potential renewable energy resource over the past few decades. Solar cells as the heart of any solar systems have been utilized in many applications, such as small calculators to large scale GWp range solar farms. After the successful demonstration of first silicon cell at Bell Labs with 6% conversion efficiency in 1954, we have come across a few generations of various kinds along with Giga watt-peak deployment of solar farms for electrical power generation. Researchers around the world try to find energy harvesting in the form of electricity with various materials starting from inorganic silicon based to organic based materials. The talk will introduce thin film solar research fronts, especially for cadmium telluride (CdTe) as the leading thin film solar cell for novel application such as flexible solar cells for IoT sensor nodes. Some related research outcomes will be shared as well to explore more on this frontier.

Prof. Dr. Stavros Iezekiel

Microwave Photonics Laboratory, Department of Electrical & Computer Engineering, University of Cyprus, Nicosia, Cyprus

Title : Photonics for Satellite Payloads

With the trend towards Tb/s services via high throughput satellites, and the emerging interest in W-band, there will be a need for reconfigurable payloads supporting increased bandwidths, all while remaining within a challenging mass-power-size envelope. Conventional microwave technologies for telecommunication satellite payloads are now reaching their limits, and so microwave photonics is under consideration. The ultimate aim is to take advantage of both the broad bandwidth and potential mass/size savings that can be conferred by fibre optics and integrated photonics. Key functionalities include local oscillators, mixers, filtering and signal processing. In this talk, we will focus on our work on photonic techniques for generation of microwave and mm-wave signals.

Prof. Dr. Shaikh A. Fattah

Department of EEE Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh

Title : Deep Learning Based Multi-dimensional Bio-Signal Analysis for Automatic Disease Detection

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Prof. Dr. Youguang Guo

Discipline of Electrical Power and Energy Systems School of Electrical and Data Engineering Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Autralia

Title : Advanced Electric Motor Analysis based on Improved Circuit Model Considering Core Loss

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Prof. Dr. Danny Sutanto

School of Electrical, Computer and Telecommunications Engineering (SECTE) Faculty of Engineering and Information Sciences University of Wollongong, NSW 2522, Australia

Title : Flexible Solid State Transformers for Smart Grid

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Prof. Dr. Jian Xun JIN

School of Electrical and Information Engineering, Tianjin University

Title : Towards HTS Smart Grids

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Prof Dr Dylan Lu

Department of Electrical Power and Energy Systems, School of Electrical and Data Engineering, University of Technology Sydney, Australia

Title : Extending the Lifetime of Power Electronic Converters

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Dr. Md. Jahangir Hossain

School of Electrical and Data Engineering, University of Technology, Sydney, Australia

Title : Electric Vehicles in Next Generation Power Systems with Renewable Generations

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Ahmed Y Saber

VP of Optimization and AI at ETAP, USA

Title : Power System Optimization and AI

Power system is one of the complex networks in the world. Moreover, new discrete and non-linear complex elements are being added every day in power systems. After increasing computational power and available sensory big data, users want to model their power systems in detail using digital twin platform. Such large online systems cannot be handled efficiently without using proper intelligence and optimization. Power industries are looking for fast and intelligent methods to run all power system studies for planning, simulation, analysis, operation and control, e.g., unit commitment, available transfer capacity, feeder hosting capacity, optimum power flow, contingency analysis, state and load estimation, dynamic parameter estimation (motor, PSS, system identification), volt-VAR optimization, switching optimization, optimum resource (capacitor, voltage Reg.) placement, load-source forecasting etc. are named only few. Operations research and optimization communities are doing great job to solve the mentioned problems using both deterministic and stochastic optimization methods. Typically non-linear problems are solved by linear optimization with sacrificing accuracy in industries. However, researchers apply stochastic optimization methods for non-linear problems without any limitation mainly in academia. Most of the cases, benchmarks and standards are not available for stochastic optimization. All those issues will be touched in the presentation.  

Mohsin Jamil

Newfoundland and Lebrador's University

Title : Power Electronic Converters Topologies and Control in Microgrids

Power electronic converters used in Microgrids are widely employed as the interface and power flow management of distributed generators (DGs) to the utility. They manage the energy exchanges with the utility and in general control the power flow between DGs and the utility. They are normally used to connect renewable energy sources such as solar, wind, or marine, to the utility to convert DC or variable frequency AC into 50/60 Hz fixed frequency AC to inject into the utility or to supply local loads. They are also used to interface high power density microturbines, flywheel energy storage systems, batteries, and fuel cells. These converters play a vital role in the control of power flow and improvement of power quality by providing a low total harmonic distortion (THD) output current as laid down by guidelines and national/international standards. There exist different types of power electronic converters for interfacing with the utility. The most common is the two-level bridge converter. However, the need to improve efficiency and to reduce the size and cost of both the converter and the output filter has encouraged more research into using different topologies. 


In this technical talk, we will discuss the role of power electronic converters, some common topologies and Control techniques for interfacing renewable energy sources to meet national/international standards.

Dr. Kandasamy Prabakar

Dept. of Electrical Engineering, Pusan National University, Korea

Title : Transition metal phosphates for total water splitting applications.

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Prof. Dr. Md. Selim Hossain

Dept. of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204

Title : Smart Antennas and Its Applications

Smart antennas involve processing of signals induced on an array of sensors such as antennas, microphones, and hydrophones. They have applications in the areas of radar, sonar, medical imaging, and communications. Smart antennas have the property of spatial filtering, which makes it possible to receive energy from a particular direction while simultaneously blocking it from another direction. This property makes smart antennas a very effective tool in detecting and locating an underwater source of sound such as a submarine without using active sonar.


In this talk, an introduction of smart antennas will be presented briefly along with the different antennas array signal processing technique. Apart for that, the application of smart antennas in different application such as in the field of robotics, biomedical analysis, communications system, cellular networks, geophysical exploration, radar, sonar, acoustics, medical imaging, astronomy, seismology will be covered.

Speaker Details:

Invited Speakers

Dr. Mohammod Abdul Motin

Dept. of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204

Title : Wearable Devices for Affordable Healthcare

The use of wearables for non-invasive healthcare monitoring is skyrocketing day by day. However, the signals received from wearables require several steps of processing before deriving any decision for healthcare monitoring. The state-of-the-art signal processing and machine learning techniques can play a significant role in processing and reliable decision-making for better healthcare monitoring. In this talk, I will focus several state-of-art techniques to reduce or remove artifacts from wearable signals for reliable biomarkers extraction from wearables to avoid mislead decision-making. In my talk, apart from touching upon the above aspects, I will focus on advanced signal processing and machine learning techniques used in real-world conditions for monitoring cardio-respiratory diseases. The potential and translational aspect of wearable sensors in healthcare monitoring to fulfill clinical needs will be demonstrated in this talk.