Invited Speaker|特邀报告人

Keynote Speaker I 

Dr. Zhuowei Wang   
Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney  

Brief Biography 
He is with the Australian Artificial Intelligence Institute (AAII), University of Technology Sydney. His current research interests include federated learning, noisy label learning, weakly-supervised learning, few-shot learning, image classification, and the corresponding real-world applications.

Title: Predicting rice yield in China with multi-source satellite data from the perspective of artificial intelligence

Abstract: China is the world's largest rice producer, accounting for 28% of global rice production and 41% of China's total grain output. However, rice production has stagnated in recent years. To match projected population growth, China will need to increase rice production by about 20 percent by 2030 to meet domestic demand. Timely, reliable, and large-scale estimates of rice production in China are of great value for policymakers to formulate government food security development plans. Therefore, developing new methods for timely and reliable crop yield estimation over large areas at low cost is necessary.
Machine learning has sophisticated capabilities and capabilities to handle complex relationships between predictors and target variables and can analyze hierarchical and nonlinear relationships between predictors and corresponding variables. In recent years, many studies have developed machine learning-based crop yield prediction models, such as artificial neural networks, LASSO, support vector machine, and random forest. These methods are increasingly used in many countries in agricultural research.
Multi-source environmental data have been used to predict crop yields, such as soil properties and vegetation index, which are important for improving model performance. Satellite remote sensing can directly and timely monitor the growth of crops through various spectral bands.
Aiming at the low-cost and large-scale rice yield prediction problem, we propose a method based on deep learning to predict rice yield. We utilize satellite remote sensing data and machine learning algorithm to complete the segmentation of rice planting areas. We also compare the impact of different classifiers and different data on the segmentation of rice planting areas. Then a rice yield prediction model is designed based on the self-attention mechanism. Our method demonstrates the potential of using NIRv for yield prediction using machine learning. This approach is broadly applicable to other regions globally using publicly available data.

Keynote Speaker II 

Prof. Muhammad Ikram   
Department of Physics, Government College University Lahore, Pakistan  

Brief Biography 
Muhammad Ikram obtained Master degree (M. Phil Physics) from BZU Multan, Pakistan in 2010. He obtained his PhD degree in Physics from Department of Physics, Government College University (GCU) Lahore through Pak-US joint project between Department of Physics, GC U Lahore, Pakistan and University of Delaware, USA in 2015. In 2017, Ikram joined Department of Physics, GC University Lahore as Assistant Professor Physics in 2017. Ikram published over 150 manuscripts in international well reputed journal, 17 book chapters and three international book. Ikram received Seal of Excellence Marie Skłodowska‐Curie Individual Fellowship in 2017 and 2020. His research work involves the synthesis and characterization of inorganic semiconductor nanomaterials, sensor, 2D materials for water treatment and optoelectronic applications.

Title: Dye degradation and antibacterial activity of cellulose/Polyvinylpyrrolidone-doped cadmium sulphide quantum dots

Abstract: Facile and control sized cadmium sulphide (CdS) quantum dots (QDs) and cellulose nanocrystals grafted polyvinylpyrrolidone (CNC-g-PVP) doped CdS QDs were prepared via co-precipitation. Doped and Undoped CdS QDs exhibited excellent optical properties. The proposed method is effective in removing industrial polluted water and bactericidal treatments of organic contaminants such as methylene blue (MB). In order to determine the structural, optical, and morphological properties of the produced samples, a number of different characterization procedures were utilized. The X-ray diffraction (XRD) pattern confirmed the structure to be hexagonal, and there was no discernible shift in the spectrum as a result of the addition of 2, 4, or 6% doping. Doping causes a blueshift in the absorption pattern, which is described by the UV–vis spectrophotometer. This shift leads to an increase in band gap energy (Eg). In comparison to the acidic medium, the findings of the catalytic activity (CA) against MB in basic and neutral media were impressive. In addition, the bactericidal potential of the doped sample (6%), which was tested against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli), both of which are Gram-positive bacteria, exhibited significantly higher inhibition zones. These zones measured 5.25 mm and 4.05 mm, respectively. 

Keynote Speaker III 

Prof. Dr. Mushtaq Ahmad   
Biofuel and Green Energy Lab, Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan  

Brief Biography 
Professor Dr. Mushtaq Ahmad is currently working as Director QAU Botanical Garden and Herbarium (ISL), Director Technology Science Park (QAU) and Chairman Department of Plant Sciences, Faculty of Biological Sciences, Quaid-i- Azam University Islamabad. Prof. Dr. Ahmad has over 770 publications (citations ±13008, H-index 56, i10-index 294) in diverse fields of Plant Sciences including 696 research publications, 23 international books, 20 chapters in books published largely by Elsevier, Springer, Taylor & Francis, Wiley etc. across the world including Asia, Europe, USA and Africa. He has successfully supervised/produced 32 PhD, 100 M.Phil. 55 M.Sc. and 10 BS research scholars in advanced areas of Plant Systematics & Biodiversity. He has also been awarded various national and international awards in recognition of his outstanding contributions in the field of science and technology including Top 2% influential scientist of the World (2020); Young Research Scholar Award by HEC (2019); Highly Cited Research Paper Award by Elsevier and Willey (2019); Young scientist award by CAS – PIFI – China (2018), Young membership award by Pakistan Academy of Sciences, (2016); Productive scientist awards by PCST (2009 to date); TTS Performance based Awards (2010 to date); Post Doc. Fellowship by TWAS-Malaysia (2012); Best book award by HEC (2013); Best research paper award by HEC (2011); Gold Medal award by Pakistan Academy of Sciences (2011). He is the member of many international and national academic bodies. Prof. Ahmad has been awarded with many research grant projects funded by GBIF, BIFA (Japan-USA), NAS-USA, CAS-China, Mevlana-Turkey, PAS, HEC and TWAS. These research grants helped Prof. Ahmad to establish modern digital Herbarium (ISL), Botanical Garden, Technology Science Park, Melissopalynology, Aerobiology, Nutraceutical and Green Biofuel research laboratories. He has organized 12 and attended 75 International/National Conferences as Keynote speaker. He has been hosted a series of TV programs and YouTube Channel (Miracle Herbal Diversity) to aware Global and Pakistani communities, farmers linkages with academia and industries to use plant biodiversity for socio-economic uplifting. He is the active advisory board member in flora of PAN-Himalaya (Asia) & also contributor for medicinal plants naming (MPN), Kew-UK, IUCN member and PAS member. He is the recognized reviewer and editorial board member of many world reputed ISI Journals and Book series. He is the expert member of DTRC, Selection Board, Board of Studies and Examiner in different universities and institutions in the country.

Title: Green Energy via Nanotechnology: Future Applications and Perspectives

Abstract: The global energy land scape will change more in the next ten years than in the previous hundred. The world is moving towards greener energy obtained from renewable energy sources. Powering A sustainable and profitable energy via green nanotechnology will be a solution to build a greener and more sustainable future. Until now, plants are still highly esteemed all over the world as a rich source of greener energy. Over the past few decades, researchers have focused on green energy, from botanical sources. Green chemistry, as a work philosophy, has contributed to the design and application of safer and green processes and products. This study provides an overview for the green chemistry and green engineering principles that could be instrumental in sustainable biofuel process development. In the current scenario of energy security, the pursuit of alternative energy sources is very important to utilize the non-edible plant resources via phytochemical screening leads to renewable and cleaner energy. Decarbonization is mission-critical for the planet. A viable solution to present-day problems like fuel crises and environmental pollution is to move away from fossil fuels towards renewable energy resources. The main focus of this project is on the biosynthesis via nanotechnology using advanced analytical techniques (TLC, HPLC, GC-MS, FT-IR, NMR, EDX, SEM) and biological techniques to isolate some novel bioactive phytochemical entities for future applications in cleaner energy production. Currently, academia, society, industry, and government are concerned about the application of greener and cleaner principles. The worldwide concern for the sustainable future requires balanced between legacy systems, emerging technologies, business, economy while better managing assets risk and carbon emissions.

Keynote Speaker IV(He will be absent from the meeting due to a change in company policy.)  

Dr. Rakesh Ranjan   
Esgee Technologies, USA  

Brief Biography 
Dr. Rakesh Ranjan works at Esgee Technologies in Austin, Texas where he carries out numerical simulation of the plasma related phenomena relevant to the automotive and electric equipment (relay, switch, circuit breakers) industry. Prior to this, Dr Ranjan was working with Linde R&D on designing the next-generation heat transfer equipment. Dr Ranjan earned his PhD from the University of Texas at Austin in 2018 where he conducted research on high-hydrogen combustion in gas turbines and identified multiple modes of swirl flame flashback. Dr Ranjan’s interest lies in plasma flows, combustion and industrial safety. He volunteers for organizations such as ASME, ASTFE and IEEE. He was the recipient of the ASME Reviewer of the Year 2020 Award for the Journal of Thermal Science and Engineering Applications.

Title: Plasma simulations paving the path to sustainability

Abstract: With an increasing level of electrification across the globe, safe and sustainable power transmission and distribution is key to achieve equitable growth. Over the last few decades, this growth has been supported by SF6 insulated switching elements. SF6 has excellent dielectric properties that allows for the quick interruption of the current. SF6, however, is highly potent greenhouse gas with greenhouse warming potential (GWP) at 23500 times that of the Carbon Dioxide. The atmospheric residence time for SF6 gas is ~3200 years since it is heavier than most of the atmospheric gases. Due to its high GWP, large equipment manufacturers and utility companies have been        searching forits alternatives. These alternativegas mixturesinclude a mix ofCO2, O2, N2, fluoroketones and fluoronitrile. However, these alternatives have several drawbackssuch as weaker dielectric performance, less stability and larger maintenance needs. High-fidelity plasma simulations are enabling the search for a good SF6 alternatives in two steps: a. non-equilibriumplasma chemistry allows for finding the betterrecipe of gas mixtures that can provide better insulation characteristics b.fully-coupled plasma flow simulation allows for a detailed understanding of the arc behavior over longer length and time scales. These tools provide a deep understanding of switching arcs, that ultimately leadsthe search for low-GWP circuit breakers that would allow for green and sustainable electric transmission and distribution systems.