Talk Title & Abstract

On Bengali (Bangla) Language and Script based Technology Development
TThe struggle for retaining Bengali as the principal language has resulted in the birth of the independent country, Bangladesh. Hence, apart from literary work, specialresearch and development should be a priority for developing its technological applications. Some good work has indeed been done on the technology development of Bengali, like Font generation and word-processing in computers and mobile phones, primary spell checker, electronic Bengali dictionary etc. But the degree of progress is slower than what is needed to be comparable to the development made in the language like English. The first part of our talk will discuss this issue and how we can speed up its progress.
The second part of the talk will be more specific, namely machine reading of texts generated in Bengali alphabetic system. This task is called OCR i.e. Optical Character Recognition,whereby the computer is able to read the image of a document containing Bengali Language text. If the document contains machine printed text, the current software technology can read it quite well. But if the document is a page handwritten by some person, this is still a difficult task. This part will discuss the current state of the internationalresearch and the work done by this speaker.

Biography

Prof Chaudhuri, currently Pro Vice-Chancellor of Techno India University, was born in 7 December, 1950. After school exams he went to Kolkata Presidency college and then to Kolkata University to get B Sc (Hons in Physics), B Tech and M Tech degreesin Radio Physics and Electronics. He received PhD from IIT Kanpur in 1980 and joined Indian Statistical Institute as junior Faculty member. He went for Post Doc work at Queens University, UK with a Leverhulme fellowship. Subsequently, he travelled to numerous Universities around the globe on academic assignments.
Prof Chaudhuri’s main research areas are Pattern Recognition, Image processing, Natural Language Processing, Fuzzy set approaches, Machine learning land Deep learning, among others. He has published more than 450 research papers, 5 technical and 5 edited books in English as well as 4 Bengali books on Bengali Language technology issues. According to Google scholar his papers are cited 16,651 times while his H-index and i10 indices are 59 and 238, respectively. He is a life fellow of IEEE and Fellow of international bodies like IAPR, TWAS, AAIA and Indian academies like INSA, INAE, INASc, IETE etc. He acted as PI of research projects of UNDP, Indo-German, Indo-French, Indo-European collaboation and many Indian organization sponsored projects. He obtained many Science and technology awards like Vikram Sarabhai ResearchAward, Sir J C Bose fellowship, Jawaharlal Nehru fellowship, Homi Bhabha Fellowship, INAE Distinguished Professorship, R L Wadhwa Gold Medal, Meghnad Saha Award, Om Prakash Bhasin Award, etc.

Talk Title & Abstract

Design for reliability in power electronic systems
In recent years, the automotive and aerospace industries have brought stringent reliability constraints on power electronic converters because of safety requirements. Today customers of many power electronic products expect up to 20 years of lifetime and they also want to have a “failure free period” and all with focus on the financials. The renewable energy sectors are also following the same trend, and more and more efforts are being devoted to improving power electronic converters to account for reliability with cost-effective and sustainable solutions. This presentation will introduce the recent progress in the reliability aspect study of power electronic converters for power electronic applications with special focus on renewables. It will cover the following contents: the motivations for highly reliable electric energy conversion in renewable energy systems; the reliability requirements of typical renewable energy systems and its implication on the power electronic converters; failure mechanisms and lifetime models of key power electronic components (e.g., power semiconductor switches, capacitors, and fans); long-term mission profiles in Photovoltaic (PV) and wind power applications and the component level stress analysis; reliability analysis methods, tools, and improvement strategies of power electronic converters for renewable energy systems. A few case studies on PV and wind power based renewable energy systems will also be discussed.

Biography

Frede Blaabjerg (S’86–M’88–SM’97–F’03) was with ABB-Scandia, Randers, Denmark, from 1987 to 1988. From 1988 to 1992, he got the PhD degree in Electrical Engineering at Aalborg University in 1995. He became an Assistant Professor in 1992, an Associate Professor in 1996, and a Full Professor of power electronics and drives in 1998 at AAU Energy. From 2017 he became a Villum Investigator. He is honoris causa at University Politehnica Timisoara (UPT), Romania in 2017 and Tallinn Technical University (TTU), Estonia in 2018.
His current research interests include power electronics and its applications such as in wind turbines, PV systems, reliability, harmonics and adjustable speed drives. He has published more than 600 journal papers in the fields of power electronics and its applications. He is the co-author of four monographs and editor of ten books in power electronics and its applications.
He has received 38 IEEE Prize Paper Awards, the IEEE PELS Distinguished Service Award in 2009, the EPE-PEMC Council Award in 2010, the IEEE William E. Newell Power Electronics Award 2014, the Villum Kann Rasmussen Research Award 2014, the Global Energy Prize in 2019 and the 2020 IEEE Edison Medal. He was the Editor-in-Chief of the IEEE TRANSACTIONS ON POWER ELECTRONICS from 2006 to 2012. He has been Distinguished Lecturer for the IEEE Power Electronics Society from 2005 to 2007 and for the IEEE Industry Applications Society from 2010 to 2011 as well as 2017 to 2018. In 2019-2020 he served as a President of IEEE Power Electronics Society. He has been Vice-President of the Danish Academy of Technical Sciences. He is nominated in 2014-2021 by Thomson Reuters to be between the most 250 cited researchers in Engineering in the world.

Talk Title & Abstract

Neurosymbolic AI for Explainable Sentiment Analysis
With the recent developments of deep learning, AI research has gained new vigor and prominence. However, machine learning still faces three big challenges: (1) it requires a lot of training data and is domain-dependent; (2) different types of training or parameter tweaking leads to inconsistent results; (3) the use of black-box algorithms makes the reasoning process uninterpretable. At SenticNet, we address such issues in the context of NLP via sentic computing, a neurosymbolic approach that aims to bridge the gap between statistical NLP and the many other disciplines necessary for understanding human language such as linguistics, commonsense reasoning, and affective computing. Sentic computing is both top-down and bottom-up: top-down because it leverages explainable symbolic models such as semantic networks and conceptual dependency theory to encode meaning; bottom-up because it uses powerful subsymbolic methods such as transformers and contrastive learning to infer syntactic patterns from data.

Biography

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. His research focuses on neurosymbolic AI for explainable natural language processing in domains like sentiment analysis, dialogue systems, and financial forecasting. He is recipient of several awards, e.g., IEEE Outstanding Career Award, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of many top-tier AI journals, such as Information Fusion and IEEE Transactions on Affective Computing, and is involved in various international conferences as program chair and SPC member.

Talk Title & Abstract

Smart electric vehicle management and planning
Electrification of the transportation sector has been happening in many counties under the zero carbon emission initiative targeting at, in most cases, the second largest emission sector – transportation sector. As such, many countries have been observing rapid growth in Electrical Vehicle (EV) uptake. While serving the emission reduction purpose, EVs also pose potential challenges for the power grid in view of system security and reliability. Better utilization of the EVs also encourages development and deployment of smart EV management and innovative economic models for the benefit of different stakeholders related to EV and EV charging. In this presentation, AI enabled smart EV charging management and new sharing framework for EV uptake will be given with case studies of both research examples and industrial practices.

Biography

Z.Y. Dong (M’99-SM’06-F’17) is currently Professor of Power Engineering with Nanyang Technological University, Singapore. His previous roles include SHARP Professor and inaugural Director of UNSW Digital Grid Futures Institute, Director of ARC Research Hub for Integrated Energy Storage Solutions, Ausgrid Chair and Director of Ausgrid Centre for Intelligent Electricity Networks providing R&D support for the AU$500m Smart Grid, Smart City national demonstration project. His research interest includes power system planning, load modelling, smart grid, smart cities, energy market, renewable energy and its grid connection, and computational methods and their application in power system analysis. He has been serving as editor/associate editor of several IEEE transactions and IET journals. He is a Fellow of IEEE.

Talk Title & Abstract

Machine Learning for Space-Air-Terrestrial Networking
The conceptualization on 6G's vision and enabling technologies have recently gained attention in both academics and industry. Artificial intelligence (AI) represents one of the biggest emerging opportunities in technology, especially for tasks such as wireless resource management, networking planning, and power saving. Aerial supporting networking becomes promising technology for enabling computation-oriented communications (COC) applications such as virtual and augmented reality (VR and AR), real-time monitoring, and surveillance. In 5G and upcoming 6G cellular networks, reconfigurable intelligent surface (RIS) has perceived a prodigious interest to develop a new communication infrastructure by utilizing unnamed aerial vehicle (UAV) with RIS due to flexibility, line-of-sight (LOS) transmission, spectral efficiency enhancement, and cost-effectiveness. To guarantee last-mile internet connectivity, the next generation of networking has made satellite communication possible. Thus, the low earth orbit (LEO) satellite system assures future networking to manage the space-air-sea (SAS) communication system. This talk will cover the role of AI in managing and controlling the aerial and space-supported networking for future internet and its services.

Biography

Choong Seon Hong (Senior Member, IEEE) received the B.S. and M.S. degrees in electronic engineering from Kyung Hee University, Seoul, South Korea, in 1983 and 1985, respectively, and the Ph.D. degree from Keio University, Tokyo, Japan, in 1997. In 1988, he joined KT, Gyeonggi-do, South Korea, where he was involved in broadband networks as a member of the Technical Staff. Since 1993, he has been with Keio University. He was with the Telecommunications Network Laboratory, KT, as a Senior Member of Technical Staff and as the Director of the Networking Research Team until 1999. Since 1999, he has been a Professor with the Department of Computer Science and Engineering, Kyung Hee University. His research interests include future Internet, intelligent edge computing, network management, and network security.
Dr. Hong is a member of the Association for Computing Machinery (ACM), the Institute of Electronics, Information and Communication Engineers (IEICE), the Information Processing Society of Japan (IPSJ), the Korean Institute of Information Scientists and Engineers (KIISE), the Korean Institute of Communications and Information Sciences (KICS), the Korean Information Processing Society (KIPS), and the Open Standards and ICT Association (OSIA). He has served as the General Chair, the TPC Chair/Member, or an Organizing Committee Member of international conferences, such as the Network Operations and Management Symposium (NOMS), International Symposium on Integrated Network Management (IM), Asia-Pacific Network Operations and Management Symposium (APNOMS), End-to-End Monitoring Techniques and Services (E2EMON), IEEE Consumer Communications and Networking Conference (CCNC), Assurance in Distributed Systems and Networks (ADSN), International Conference on Parallel Processing (ICPP), Data Integration and Mining (DIM), World Conference on Information Security Applications (WISA), Broadband Convergence Network (BcN), Telecommunication Information Networking Architecture (TINA), International Symposium on Applications and the Internet (SAINT), and International Conference on Information Networking (ICOIN). He was an Associate Editor of the IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT and the IEEE JOURNAL OF COMMUNICATIONS AND NETWORKS and an Associate Editor for the International Journal of Network Management and an Associate Technical Editor of the IEEE Communications Magazine, and guest editor of IEEE Network Magazine. He currently serves as an Associate Editor for the International Journal of Network Management and Future Internet Journal.

Talk Title & Abstract

Opportunities and Challenges in Grid-Connected Distributed Energy Sources
The world is moving towards decentralized power station, formally called distributed power generation. The main sources of distributed power generations are Solar Power and Wind Power systems. Among solar Power sources, solar photovoltaic has received much attention.
Wind energy is also one of the most important and promising sources of renewable energy, mainly because it is considered to be non-polluting and economically viable. At the same time, there has been a rapid development of related wind turbine technology. The current surge in wind energy development is driven by multiple forces in favor of wind power. These include tremendous environmental, social and economical benefits, technological maturity, deregulation of electricity markets throughout the world, public support, and governmental incentives. Recent developments in wind power generation have provided an economically competitive and technically sound solution to reduce greenhouse gas emissions. The conversion efficiency of the wind power plant is much higher compared to the solar PV system and this can be further enhanced by employing appropriate maximum power point tracking strategy. According to Betz limit, the conversion efficiency of a wind power plant is as high as 59.3%.
Grid-connected photovoltaic (PV) systems are one of the fastest growing renewable energy conversion systems in the world. In fact it has increased more than 7 times in the in recent past (from 5.4GW to 40GW of installed capacity). The main reason for this remarkable development is the cost reduction of PV modules and the introduction of economic incentives or subsidies due to growing environmental concerns. This has made PV generated electrical energy cost-effective and competitive in some regions of the world with good sun radiation conditions. Projections show that PV technology costs will continue declining in the next decade, making large-scale PV systems more and more attractive.
Power electronics, used as an interface between the distributed generation sources and the electricity grid play an important role in facilitating an efficient and optimal energy transfer, as well as increasing system reliability and utilizing an economically viable solution. However, despite the clear trend in the increase of power rating of PV plants, power converter interfaces for large-scale PV systems have not evolved much and are concentrated in a couple of system configurations and converter topologies.The talk will focus on the energy scenario, existing international standards in relation to the grid-connected distributed energy source, existing inverter topologies, their classifications and operations. The control of grid connected inverters and synchronization requirements. The present challenges and requirements related to grid-connected inverters is presented. The major challenges such as lower inertia, greater control flexibility, lower system strength etc. The concept of grid-forming and grid-following inverters concept is elaborated. The future directions of research is also given.

Biography

Dr. Atif Iqbal (Senior Member, IEEE, Fellow IET (UK), Fellow IE (India), Vice-Chair IEEE Qatar Section) received the B.Sc. and M.Sc. degrees in engineering (power system and drives) from Aligarh Muslim University (AMU), Aligarh, India, in 1991 and 1996, respectively, and Ph.D. degree from Liverpool John Moores University, Liverpool, U.K., in 2006, and the D.Sc. degree (Habilitation) in control, informatics, and electrical engineering from the Gdansk University of Technology, in 2019. He is a Full Professor with the Department of Electrical Engineering, Qatar University, Doha, Qatar, and a former Full Professor with the Department of Electrical Engineering, AMU, Aligarh, India. He has been a Lecturer with the Department of Electrical Engineering, AMU, since 1991, where he has served as a Full Professor, until August 2016. Dr. Iqbal has been listed in top 2% highly cited scientists of the world (data released by Stanford University, USA). The world ranking in 2019 was #649, in 2022 was #622 and the current ranking is #457 (Full Career data). He has published widely in international journals and conferences on his research findings related to power electronics, variable speed drives, and renewable energy sources. He has authored or coauthored more than 540 research articles and four books and several chapters in edited books. He has supervised several large research and development projects worth more than 10 million USD. He was a recipient of the Maulana Tufail Ahmad Gold Medal for standing first at the B.Sc.Engg. (Electrical) Exams from AMU, in 1991. He was also a recipient of the Outstanding Faculty Merit Award academic year 2014–2015 and the Research Excellence Awards at Qatar University, in 2015 and 2019. He has received several best research papers awards, e.g., at IEEE ICIT-2013, IET-SEISCON-2013, SIGMA 2018, IEEE CENCON 2019, IEEE ICIOT 2020, ICSTEESD-20, Springer ICRP 2020, IEEE GUCON 2021. His several papers received best journal paper and most cited papers. He has also received the Gold Medal for his B.Sc. degree. His also an Associate Editor of the IEEE Transactions on Industrial Electronics and IEEE Access and the Editor-in-Chief of the Journal of Electrical Engineering (I’manager). He was a former Associate Editor of the IEEE Transactions on Industry Application and a former Guest Associate Editor IEEE Transactions on Power Electronics. His research interests include smart grid, complex energy transition, active distribution network, electric vehicles drivetrain, sustainable development and energy security, distributed energy generation, and multiphase motor drive systems

Talk Title & Abstract

Cross-cultural Thinking in the Development of a Sustainable Fashion Education System: A Collaborative Approach with Industry, Policy, and the Educational Sector
Abstract—It is suggested that the education sector is the key aspect in making a larger-scale revolution for globalization in the development of a sustainable fashion scheme. This research will provide a practice-based creative educational system ideology that will have long-term consequences on fashion education for the sustainability of the clothing sector. Based on our previous research in the field of education, and conducted investigations as well as studies on the current situation of sustainable clothing education in China, this research aims to introduce a cross-cultural development approach in the fashion education system. To demonstrate the concept this study will apply a mixed method of qualitative analysis and practice-based data interpretation. First, a qualitative analysis will be conducted for the outcome of the collaborative educational project with other countries' universities and industries to have an idea of cross-cultural education. Secondly, a group of students will involve doing practice in the industry for sustainable fashion implementation as part of the course to get analytical data from industrial aspects for practice-based education development. Those proposed methods will have resulted in the establishment of a cross-cultural ideology for sustainable fashion education cooperating with industries and government policy. Consequently, this will convey a creative and practice-based education system that will support large-scale development in fashion systems toward sustainability. This research will provide insights and recommendations for sustainability to achieve a significant change in fashion education, as well as opportunities for future research to develop a model for establishing collaboration between education and the fashion industry.

Biography

Professor Tao Hui, Dean, School of Fashion, Wuhan Textile University. She was born in February, 1969, Wuhan, Hubei Province, China. Her research interest was in Chinese Traditional Etiquette Costume Culture and Design Innovation Sustainable Development of Fashion Industry, Fashion Design Education and Internationalization. She is a Professor of Wuhan Textile University, master tutor, visiting scholar of University of Manchester, UK. The leader of the national quality resource sharing course "Clothing Structure Design"; the head of the construction of the national first-class professional project of "Clothing and Apparel Design", and leader of the provincial first-class course of "Clothing Structure Design". She is an editorial board member of ‘Fashion Guide’, Journal of Wuhan Textile University, ‘Journal of Clothing’, A Journal of Jiangnan University. She is a member of the Communist Party of China.
She is socially bonded with several bodies: Executive Deputy Director of the Clothing Sub-Committee of the Teaching Guidance Committee of the Higher Education Textile Major of the Ministry of Education, Member of the Education Branch of the International Federation of Fashion Technology Schools Fund (IFFTI), Chairman of the Technical Committee of China Fashion Design Association, Project appraisal expert of the National Social Science Foundation, Expert of the Professional Committee of China Circular Economy Association, Academic member of the Expert Committee of Shanghai Textile and Apparel Publishing Center, National Social Science Fund Project Appraisal Expert, Invited Reviewer of The Journal of the Textile Institute, Textile Research Journal Reviewer.
Prof. Tao Hui bagged many awards like: Host of Hubei Famous Teacher Studio and awarded, Hubei Famous Master’s Teacher, 2021, "Textile Light" Outstanding Teacher Award of China National Textile and Apparel Council, 2019, Excellent instructor of the 2nd Chinese College Students draping competition, 2018, Professional ethics model of Wuhan Textile University, 2016, Presided over the second prize of China Textile Industry Federation Achievement Award "Research and Practice of Multidisciplinary Interdisciplinary Apparel Industry Application Innovative Talent Training Model Based on Collaborative Education", 2019, Presided over "Research and Practice of Advanced Aerobic Education Based on Sino-foreign Cooperation in Running Schools" and won the second prize of China Textile Industry Federation Teaching Achievement Award, 2017, Presided over the second prize of China Textile Federation Teaching Achievement Award "Research and Practice on Cultivation of Apparel Innovative and Applied Talents Based on Multi-dimensional Cooperation", 2015, The paper "Exploration and Practice of International Joint Teaching Model Based on Interactive Theory" won the first prize of Art Education Research Paper at the Fifth College Student Art Festival of Hubei Province, 2014, In 2014, she was invited by the American Fashion Art Foundation to New York as a judge of the 14th American Global Fashion Design Competition, In 2010, she was considered as a school- level "trendsetter in education innovation.

Talk Title & Abstract

Hope on Solar PV Energy to Achieve Carbon Neutrality by 2050
Amid imminent conventional fuel crisis, energy supply in the form of electricity may face serious consequences in many developing countries. Many developed nations are already aligning themselves towards alternatives to fossil fuels in their long-term energy roadmap, attributing to the tremendous development of renewable energy resources especially solar photovoltaic energy technologies in recent years. Over the past few decades, solar energy in the form of solar photovoltaics (PV) has demonstrated to be the most potential renewable energy resource to date. We have come across solar cells of few generations after being demonstrated first at Bell Labs (with 6% conversion efficiency) in 1954 to Giga watt-peak capacity solar farms for electrical power generation. So far, researchers around the world try to find energy harvesting in the form of electricity with many kinds of solar cells starting from inorganic silicon based to organic based ones. The cost-efficiency has become praiseworthy whereby $/Wp cost of solar PV has reduced tremendously with many consumer-friendly policies around the world. This talk will demonstrate most recent status of overall solar PV technologies and future trend. This will boost the hope on solar photovoltaic energy to be in-line with the carbon neutrality commitment of the countries around the globe by 2050 apart from achieving SDG7 pledges of UN.

Biography

Professor Dr. Nowshad Amin is working at the College of Engineering and currently Head of the Solar Energy Research Unit under The Institute of Sustainable Energy of Universiti Tenaga Nasional (@ UNITEN, The Energy University) of Malaysia. He is also an honorary professor to the Faculty of Engineering and Built Environment of Universiti Kebangsaan Malaysia (@UKM, The National University of Malaysia), where he earlier worked over 11 years till 2018. After his higher secondary education from native country, Bangladesh, he received the Japanese Ministry of Education (MONBUSHO) scholarship in 1990 to study electrical engineering, where he achieved Bachelor (1996) from Toyohashi University of Technology, subsequently Masters (1998) and PhD (2001) from Tokyo Institute of Technology, Japan. His areas of expertise include solar cell materials and device development as well as applications. He has been serving as the project-leader as well as co-researcher of many government (Malaysia) and international (NSF-USA, Saudi National Grant, Qatar Foundation etc.) funded projects. He has authored numerous peer-reviewed publications (journals and proceedings), a few books and book chapters. He is actively involved in promoting Renewable Energy to the developing countries in South and South-East Asia, working as an enthusiastic promoter for the affordable solar photovoltaic (PV) technologies.

Talk Title

Basic Bioinformatics Tools & Techniques

Biography

Dr Mohammad Ali Moni is Senior Research Lecturer of Artificial Intelligence & Data Science at the University of Queensland, Australia. He obtained a PhD degree in Artificial Intelligence and Digital Health Data Science in February 2015 from the University of Cambridge, UK. He continued to focus on the same teaching and research areas during the last 8 years and has led and managed significant research programs, such as using big health data to develop machine learning, deep learning and translational data science models, and software tools to aid diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His main research interest includes developing statistical models, machine learning and deep learning algorithms and software tools utilizing multimodal data, especially medical images, neuroimaging, EEG, ECG, Bioinformatics and secondary usage of routinely collected data for different conditions. He has published more than 200 top-tier journal articles and received 6900+ citations.