2023 2nd International Symposium on Computer Applications and Information Systems(ISCAIS 2023)
Keynote Speakers

Speakers- ISCAIS 2022 




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Prof. Seifedine Kadry

Noroff University College, Norway


Title: Multimodal medical image fusion: medical modalities, multimodal databases, fusion techniques, and quality metrics

Abstract: Over the past two decades, medical imaging has been extensively applied to diagnose diseases. Medical experts continue to have difficulties in diagnosing diseases with a single modality owing to a lack of information in this domain. Image fusion maybe use to merge images of specific organs with diseases from a variety of medical imaging systems. Anatomical and physiological data may be included in multi-modality image fusion, making diagnosis simpler. It is a difficult challenge to find the best multimodal medical database with fusion quality evaluation for assessing recommended image fusion methods. As a result, this article provides a complete overview of multimodal medical image fusion methodologies, databases, and quality measurements. In this talk, a compendious review of different medical imaging modalities and evaluation of related multimodal databases along with the statistical results is provided. The medical imaging modalities are organized based on radiation, visible-light imaging, microscopy, and multimodal imaging. The medical imaging acquisition is categorized into invasive or non-invasive techniques. The fusion techniques are classified into six main categories: frequency fusion, spatial fusion, decision-level fusion, deep learning, hybrid fusion, and sparse representation fusion. In addition, the associated diseases for each modality and fusion approach are presented. The quality assessments fusion metrics are also encapsulated in this article.

This survey provides a baseline guideline to medical experts in this technical domain that may combine preoperative, intraoperative, and postoperative imaging, Multi-sensor fusion for disease detection, etc. The advantages and drawbacks of the current literature are discussed, and future insights are provided accordingly.

Experience: Professor Seifedine Kadry has a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.




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A.Prof. Mingwei Qin

Southwest University of Science and Technology, China

秦明伟副教授,西南科技大学


Title: Multi-channel Video Measurement and Analyzer of High-speed Wind Tunnel Experiment Based on Hardware Acceleration

Abstract: In order to meet the requirements of high-precision measurement in high-speed wind tunnel experiments, the camera frame rate and resolution in the video measurement system are becoming higher and higher, which poses a great challenge to the processing throughput of the system.

First, to resolving the problem of multi-channel high-speed and large capacity data buffering, scheduling and storage in high-precision measurement wind tunnel experiments, this paper proposes a software and hardware cooperative architecture of multi-channel video measurement analyzer system based on hardware acceleration technology, which has the advantages of flexible channel expansion, independent task and easy upgrade.

Second, aiming at the problem of low throughput and image resolution in the process of marker recognition and feature extraction in visual measurement, this paper proposes a parallel connected domain search and feature extraction method based on image slice, which marks and merges the input pixels by means of label. In order to achieve parallel processing capability, the input image is divided into 16 image slices in this algorithm, and these image slices are respectively executed by independent slice processing modules to perform connected domain labeling and feature extraction in parallel. After the completion of each slice processing, the global merging module merges the slice boundaries, and folds the boundary merge processing time into the next frame slice processing time by ping-pong operation, which realizes the image continuous processing and effectively improves the processing throughput of the algorithm.

The experimental results show that the hardware acceleration system can realize the real-time scheduling and processing of 2.38GB/s high-speed data flow. Compared with PC processing rate, the acceleration ratio of connected domain search and feature extraction algorithm can reach 26-37 times under different resolutions. Furthermore, the throughput rate and acceleration efficiency can be increased exponentially by ROI technology.

Experience: Dr. Mingwei Qin is an associate professor and postgraduate supervisor. He received his B.S degree and M.S. degree in communications Southwest University of Science and Technology in 2003 and 2009, received the Ph.D. degree in communications and information system from the University of Electronic Science and Technology of China, Chengdu in 2015. Since 2003, he joined the Southwest University of Science and Technology, as the leader of ICSP team and undergraduate of communication engineering, His research interest includes SDR and Cognitive Communication, High-speed Real-time Signal Processing, Hardware Acceleration, Monitoring of space radio signals and so on. He has published more than 50 papers, and finished more than 30 projects. Some of the projects were funded by NSFC. He won the second prize of Sichuan Provincial Science and Technology Progress Award (third) in 2020, has applied for and obtained 6 authorized invention patents and 3 software copyrights. The general high-speed signal processing platform he developed has been applied to the performance evaluation of channel codec algorithms, broadband data transmission, Beidou navigation chip development and evaluation simulation, astronomical radio signal observation, visual measurement and so on.