Speakers
| Prof. Yulin Wang Wuhan University, China Yulin Wang is a full professor in the School of Computer Science, Wuhan University, China. His research interests include image and video processing, digital rights management, information security, intelligent system, e-commerce, IoT, code clone and so on. He got his PhD degree from University of London, UK. He got his master and bachelor degree from Huazhong University of Science and Technology（HUST）and Xi-Dian University respectively, both in China. Before joining the Wuhan University, he has worked in Hi-tech IT industry, including HUAWEI© and national research institute, for more than ten years. He has involved more than 15 national and international research projects. In recently 10 years, Prof. Wang has published 1 book, and 50+ journal and conference papers, including in IEEE TIP. He holds 10 authorized patents. Prof. Wang served as EiC of 2 international journals and reviewer of top IEEE and ACM journals. He also served as reviewer of Innovative talents projects and national research funds, including National High Technology Research and Development Program of China. Prof. Wang was the external PhD advisor of Dublin City University, Ireland during 2008-2010. In recently 10 years, Prof. Wang served as chairman of more than 10 international conferences, and keynote speakers in more than 20 international conferences. Besides UK, he visited US, France,Italy, Portugal,Croatia, Australia, Germany, korea, Ireland,Singapore, Malaysia, Japan, and Hong Kong. In addition, Prof. Wang has been appointed as the deputy director of Hubei provincial science and technology commission (CAPD) since 2014. Title: Image Authentication and Tamper Localization Abstract: Image authentication can be used in many fields, including e-government, e-commerce, national security, news pictures, court evidence, medical image, engineering design, and so on. Since some content-preserving manipulations, such as JPEG compression, contrast enhancement, and brightness adjustment, are often acceptable—or even desired—in practical application, an authentication method needs to be able to distinguish them from malicious tampering, such as removal, addition, and modification of objects. Therefore, the traditional hash-based authentication is not suitable for the application. As for the semi-fragile watermarking technique, it meets the requirements of the above application at the expense of severely damaging image fidelity. In this talk, we propose a hybrid authentication technique based on what we call fragile hash value. The technique can blindly detect and localize malicious tampering, while maintaining reasonable tolerance to conventional content-preserving manipulations. The hash value is derived from the relative difference between each pair of the selected DCT coefficient in a central block and its counterpart which is estimated by the DC values of the center block and its adjacent blocks. In order to maintain the relative difference relationship when the image undergoes legitimate processing, we make a pre-compensation for the coefficients. Finally, we point out the direction using deep leaning technique for image authentication. |
 | Assoc. Prof. Ata Jahangir Moshayedi Jiangxi University of Science and Technology, China Dr Ata Jahangir Moshayedi, Associate professor at Jiangxi University of Science and Technology, China, PhD. In Electronic Science from Savitribai Phule Pune University, India. IEEE member, Instrument Society of India as a Life Member, Lifetime Member of Speed Society of India, member of the editorial team of various conferences and journals like; International Journal of Robotics and Control, JSME, Bulletin of Electrical Engineering and Informatics, International Journal of Physics and Robotics Applied Electronics, etc., 80 papers published in national journals and conferences, 3 books published, Owns 2 patent, 9 copyright. His research interest includes: Robotics and Automation/ Sensor modelling /Bio-inspired robot, Mobile Robot Olfaction/Plume Tracking, Embedded Systems / Machin vision-based Systems/Virtual reality, Machine vision/Artificial Intelligence. Title: Revolutionizing AGV Service Robots: Enhancing Missions, Overcoming Obstacles, and Empowering Vision Abstract: Service robots play a crucial role in enhancing human life, spanning from healthcare to industrial applications. These robots not only have the potential to save lives but also assist with labor-intensive tasks, ensuring precision and efficiency. According to ISO 8373:2012, service robots can be categorized into personal service robots designed for non-manufacturing settings, and professional service robots utilized by both non-commercial individuals and commercial professionals. Whether semi-autonomous or fully autonomous, service robots have gained acceptance as valuable human assistants, finding applications in diverse industries, particularly as integral components of production lines. As we progress through the stages of industrial revolution, with mechanization, electric power, and the advent of Industry 4.0 combining digital and internet technologies, service robots are at the forefront of technological innovation. In this comprehensive discourse, we delve into the realm of AGV service robots, elucidating the intricacies of their modeling steps and simulation techniques while introducing an innovative approach known as fusion. Our primary objective is to empower researchers with invaluable insights into the seamless implementation of diverse control systems on meticulously modeled service robot systems. |
 | Prof. Sailesh Iyer Rai University, India Dr. Sailesh Iyer has a Ph.D. (Computer Science), pusruing Post Doc from University of Louisiana, Lafayette, USA (Public University ranked among the top 100 Public Universities) and currently serving as a Professor with Rai University, Ahmedabad. He has more than 23 years of experience in Academics, Industry and Corporate Training out of which 18 years are in core Academics. He has been awarded Research Excellence Award for year 2021 and year 2022 , Best Innovator Award 2022 by Rai University and an Honorary Adjunct Research Scientist at Neurolabs International under Dana Brain Health Institute, Iran from August 2022 to August 2025. He has numerous Patents granted and published to his credit and is involved as an Editor for various book projects with IGI Global (USA), CRC PressTaylor and Francis (UK) and Bentham Science (UAE). He has been invited as Keynote Speaker in various International Conferences held in China, Indonesia, Philippines, Saudi Arabia, Haiti, Ukraine, Italy and India. A hardcore Academician and Administrator, he has excelled in Corporate Training, Delivered 95+ Expert Talks in various AICTE sponsored STTP’s, ATAL FDP’s, Reputed Universities, Government organized Workshops, Orientation and Refresher Courses organized by HRDC, Gujarat University. Research Contribution include reputed Publications, Track Chair at ICDLAIR 2020 (Springer Italy), icSoftComp 2020, IEMIS 2020 (Springer), ICRITO 2020 (IEEE), ARISE-2021, FTSE-2021 and TPC Member of various reputed International and National Conferences, Reviewer of International Journals like Multimedia Tools and Applications (Springer), Journal of Computer Science (Scopus Indexed), International Journal of Big Data Analytics in Healthcare (IGI Global), Journal of Renewable Energy and Environment and Editor in various Journals. Expert Talk on Research based topics in various Universities and Conferences in addition to guiding Research Scholars as Supervisor. He has also been invited as a Judge for various events, Examiner for Reputed Universities, is a Computer Society of India Lifetime Member and also serving as Managing Committee (MC) Member, CSI Ahmedabad Chapter from 2018-2020. Title: Research Trends and Challenges in Computerised Medical Imaging and Graphics Abstract: Computer graphics and Image processing play important roles in medical imaging applications including medical image processing, analysis, and diagnostics. The global medical imaging market size was USD 36.19 billion in 2020 and is expected to grow from USD 37.97 billion in 2021 to USD 56.53 billion in 2028. Examples include interactive machine learning for medical image diagnostics, visual analytics systems, and topological analysis of big medical image datasets. I would be discussing the future Research Trends of Image Processing which includes Medical Imaging, Bio-Medical Image processing and various challenges in GPU etc. Research in Image Processing, Computer Vision and Pattern Recognition is focused on the processing of visual information, techniques and applications of filtering, enhancement, segmentation and images analysis and videos from various sources. This talk would focus on the research trends of advanced computer graphics, geometric modelling, and data visualization techniques and algorithms in medical imaging applications. |
Inviting...