Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

Posted on by ScienceFather

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.

 

 

Assist Prof Dr. Mahmoud Emam | Image Generation | Best Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Mahmoud Emam : Leading Researcher in Image Generation

Hangzhou Dianzi University  at Image Generation, School of Computer Science and Technology, China

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Mahmoud Emam is an Assistant Professor with a strong background in Computer Science and Technology. He earned his Ph.D. from the Research Institute of Information Countermeasure Techniques at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China, where he conducted research in his field. Prior to his doctoral studies, Dr. Emam completed his M.Sc. in Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he laid the foundation for his academic journey. He also underwent pre-courses for M.Sc. in Computer Science at the same institution. Dr. Emam’s academic journey began with a B.Sc. in Pure Mathematics and Computer Science from the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he developed a strong foundation in his field. His academic pursuits and research contributions reflect his dedication to advancing knowledge in Computer Science and Technology.

Research Interests:

Dr. Mahmoud Emam‘s research interests are centered around several key themes in computer science, including Digital Image Processing, Multimedia Security, Pattern Recognition, and Computer Vision. His expertise extends to the specialized area of Digital Image and Video Forensics, where he applies his knowledge to analyze and enhance the security of digital media. Dr. Emam’s work in these fields demonstrates his commitment to advancing the understanding and application of computer science principles, particularly in the context of digital media and information security.

Experience:

Dr. Mahmoud Emam has a diverse professional background spanning both teaching and research roles. His career began in 2007 when he served as a Teaching Assistant in computer science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he contributed to the education and development of students in the field of computer science. In 2013, he transitioned into a research-focused role as a Research Associate (Ph.D. Candidate) at the Research Institute of Information Countermeasure Techniques, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China. During this time, he was actively engaged in research activities related to his doctoral studies. Following the completion of his Ph.D., Dr. Emam assumed the role of Assistant Professor of Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he continued to contribute to both teaching and research. His dedication to academia and research led to his appointment as an Assistant Professor at the Machine Intelligence Department, Faculty of Artificial Intelligence, Menoufia University, Egypt, starting in January 2022. In November 2022, he took on the position of a Postdoctoral Research Fellow at the Shangyu Institute of Science and Engineering Co., Ltd., Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China, where he is involved in advanced research endeavors. Throughout his career, Dr. Emam has demonstrated a strong commitment to both academic instruction and cutting-edge research, positioning himself as a valuable contributor to the fields of computer science, artificial intelligence, and machine intelligence.

Publication:

Fabric defect detection based on saliency map and keypoints

Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features

Anti-pruning multi-watermarking for ownership proof of steganographic autoencoders

Fast Frequency Domain Screen-Shooting Watermarking Algorithm Based on ORB Feature Points

Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review

A Novel Hybridoma Cell Segmentation Method Based on Multi-Scale Feature Fusion and Dual Attention Network

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing

Semi-Supervised Remote Sensing Image Semantic Segmentation Method Based on Deep Learning

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

Posted on by ScienceFather

Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.

Dr. Alphonse Kayiranga | Remote sensing

Posted on by ScienceFather
🎉🏆 Congratulations, Dr. Alphonse Kayiranga, on Your Outstanding Achievement as the Best Researcher! 🏆🎉
Dr. Alphonse Kayiranga : Leading Researcher in Remote sensing 

Special research assistant-Postdoctoral fellow at Remote sensing , Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Key Qualification 🌐🌿📊

Skilled in remote sensing and geo-informatics applications in ecohydrology and landscape monitoring and management. Currently working on modeling land and atmosphere interactions, specifically modeling the eco-hydro-climate characteristics using different process-based models; Remote sensing, in-situ observations, and reanalyzed datasets; and Geo-Informatics techniques. Skilled also in computer programming using various languages and machine learning such as Python, R for data science, and Google Earth Engine (GEE).

Current Position 📅🔍

Special Research Assistant (July 2022-Present): Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (XIEG-CAS). State Key Laboratory of Desert and Oasis Ecology. Conducting Eco-hydrological research in the Aral Sea basin.
Previous Experience 🌍🖥️

Research Assistant (Sep 2018 – Jul 2022): Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (IGSNRR-CAS). Key Laboratory of Resource and Environmental Information System. Worked on modeling land and atmosphere interactions, focusing on ecohydro-climate characteristics using different process-based models.

Graduate Studies (Sep 2014 – Jun 2017): Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China. Master of Science in Cartography and Geographic Information System (GIS). Specialization: GIS and Remote Sensing applications.

Assistant Lecturer (Jul 2017 – Feb 2022): Faculty of Environmental Studies and Faculty of Computing and Information Technology at the University of Lay Adventist of Kigali (UNILAK-Rwanda).

International Engagements ✈️🌐

Participated in various international workshops, seminars, and conferences: Including the October 19th-30th, 2020 International training workshop on earth observation for sustainable development in developing countries organized by AOGEO at Beijing.

Academic Achievements and Publications 🎓📚

2017: Awarded the University of Chinese Academy of Sciences (UCAS) excellent international student.
2016: Awarded the University of Chinese Academy of Sciences (UCAS) excellent international graduate.

Selected Publications 📖🌐

Title: Anthropogenic activities and the influence of desertification processes on the water cycle and water use in the Aral Sea basin (2024, Journal of Hydrology: Regional Studies)
Title: Anthropogenic activities dominated tropical forest carbon balance in two contrary ways over the Greater Mekong Subregion in the 21st century (2023, Global Change Biology)
Title: Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001–2020 (2022, Sustainability)
Title: Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios (2021, Agricultural and Forest Meteorology)
Title: Water Use Efficiency-Based Multiscale Assessment of Ecohydrological Resilience to Ecosystem Shifts Over the Continent of Africa During 1992–2015 (2020, Journal of Geophysical Research: Biogeosciences)