Prof Jumin Zhao | Internet of things | Best Researcher Award |

Prof. Jumin Zhao | Internet of thingsΒ | Best Researcher Award.

Taiyuan university of technology,China

Professional Profiles:

SCOPUS

πŸ‘¨β€πŸŽ“ Bio Summary:

Prof. Jumin Zhao is a distinguished academic at Taiyuan University of Technology, serving as a professor at the College of Electronic Information and Optical Engineering and as the director of the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. Her extensive research interests encompass intelligent perception and Internet of Things (IoT) technology. A senior member of the China Computer Federation (CCF) and deputy secretary general of the Taiyuan Branch of the Association for Computing Machinery (ACM), she has made significant contributions to her field through numerous projects, patents, and publications.

πŸŽ“ Education:

Prof. Zhao earned her Ph.D. from Taiyuan University of Technology in 2008, marking the beginning of her illustrious career in electronic information and optical engineering.

πŸ” Research Focus:

Her primary research areas include intelligent perception and IoT technology, where she has driven forward innovative solutions and applications that bridge the gap between theoretical research and practical implementations.

πŸ† Honors & Awards:

Prof. Zhao has been recognized for her contributions with numerous awards and honors at both national and provincial levels, celebrating her impact on technological advancements and academic excellence.

Professional Experience: πŸ’Ό

In addition to her teaching and research roles, Prof. Zhao leads the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. She has presided over 25 national and provincial projects, demonstrating her leadership and expertise in her field.

Β πŸ“š Top Noted Publications :

Title: Investigation and Experimental Study on Gearbox Vibration Fault Diagnosis Method Based on Fusion Feature Convolutional Learning Network
Authors: Zhu, X., Ye, X., Wang, R., Han, Z., Gao, X.
Journal: Experimental Techniques
Citation Index: 2
Year of Publication: 2023

Title: GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
Authors: Gong, J., Ma, R., Li, D., Zhao, J.
Journal: Journal of the Indian Society of Remote Sensing
Citation Index: 4
Year of Publication: 2022

Title: Graph Neural Networks: Taxonomy, Advances, and Trends
Authors: Zhou, Y., Zheng, H., Huang, X., Li, D., Zhao, J.
Journal: ACM Transactions on Intelligent Systems and Technology
Citation Index: 53
Year of Publication: 2022

Title: Improved U-Net Based on Contour Prediction for Efficient Segmentation of Rectal Cancer
Authors: Li, D., Chu, X., Cui, Y., Zhang, K., Yang, X.
Journal: Computer Methods and Programs in Biomedicine
Citation Index: 19
Year of Publication: 2022

Title: Recognition of Honeycomb Lung in CT Images Based on Improved MobileNet Model
Authors: Gang, L., Haixuan, Z., Linning, E., Yu, L., Juming, Z.
Journal: Medical Physics
Citation Index: 15
Year of Publication: 2021

Author Metrics πŸ“Š :Β 

Her extensive research output and impact are reflected in her author metrics, which highlight her influence and standing in the academic community.

πŸ“… Research Timeline:

From earning her Ph.D. in 2008 to her current roles and achievements, Prof. Zhao’s career trajectory has been marked by continuous growth and significant contributions to electronic information and optical engineering, particularly in intelligent perception and IoT technology.

Dr Mia Shaw | Learning sciences | Best Researcher Award |

Dr. Mia Shaw | Learning sciencesΒ | Best Researcher Award.

New York University,United States

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLARΒ 

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Mia S. Shaw is an Assistant Professor and Faculty Fellow at NYU Steinhardt School of Culture, Education, and Human Development. She holds a Ph.D. in Teaching, Learning, and Teacher Education from the University of Pennsylvania. Dr. Shaw specializes in integrating technology and arts in education to support marginalized communities, particularly focusing on Black girls’ computing education through innovative methodologies like electronic textiles and quilt-making.

πŸŽ“ Education:

Dr. Shaw earned her Ph.D. in Teaching, Learning, and Teacher Education from the University of Pennsylvania in 2023, with a dissertation committee led by Yasmin Kafai. She also holds an M.Ed. in Curriculum and Instruction from the University of Nevada, Las Vegas, obtained in 2014, and a B.A. in Human Biology with Honors from Stanford University, awarded in 2012.

πŸ” Research Focus:

Dr. Shaw’s research is centered on reimagining educational practices for marginalized groups, particularly Black girls, through the integration of arts and technology. Her work explores how quilt-making and electronic textiles can serve as powerful tools for storytelling and identity formation, fostering inclusive and engaging learning environments.

πŸ† Honors & Awards:

Dr. Shaw has received numerous fellowships and awards, including the prestigious New York University Provost’s Postdoctoral Fellowship (Fall 2023-present), the Ford Foundation Dissertation Fellowship (Spring 2022), and the Lucas Education Research Student Voice in PBL Fellowship (Summer 2017-Spring 2018). She also participated in various retreats and writing fellowships, such as the Curriculum Inquiry Writing Fellowship in Summer 2022.

Professional Experience: πŸ’Ό

Currently, Dr. Shaw serves as an Assistant Professor and Faculty Fellow at NYU Steinhardt, where she teaches graduate-level courses and co-organizes university, museum, and community workshops. Her prior experience includes roles as a qualitative researcher at the University of New Mexico, a Ford Foundation Dissertation Fellow, and a research assistant at the University of Pennsylvania. She has also been an instructor at TeenSHARP and a program coordinator for Techbridge Girls.

Β πŸ“š Top Noted Publications :

Stitching the Loop with Electronic Textiles: Promoting Equity in High School Students’ Competencies and Perceptions of Computer Science
Authors: Y.B. Kafai, D.A. Fields, D.A. Lui, J.T. Walker, M.S. Shaw, G. Jayathirtha
Citation Index: 50
Year of Publication: 2019
Published In: Proceedings of the 50th ACM Technical Symposium on Computer Science

Charting the Identity Turn in K-12 Computer Science Education: Developing More Inclusive Learning Pathways for Identities
Authors: M. Shaw, Y. Kafai
Citation Index: 23
Year of Publication: 2020
Published By: International Society of the Learning Sciences (ISLS)

Communicating about Computational Thinking: Understanding Affordances of Portfolios for Assessing High School Students’ Computational Thinking and Participation Practices
Authors: D. Fields, D. Lui, Y. Kafai, G. Jayathirtha, J. Walker, M. Shaw
Citation Index: 20
Year of Publication: 2023
Published In: Assessing Computational Thinking, pp. 112-146

Connecting with Computer Science: Electronic Textile Portfolios as Ideational Identity Resources for High School Students
Authors: M.S. Shaw, D.A. Fields, Y.B. Kafai
Citation Index: 18
Year of Publication: 2019
Published In: International Journal of Multicultural Education, Vol. 21, No. 1, pp. 22-41

Codequilt: Designing an Hour of Code Activity for Creative and Critical Engagement with Computing
Authors: Y. Kafai, G. Jayathirtha, M. Shaw, L. Morales-Navarro
Citation Index: 14
Year of Publication: 2021
Published In: Proceedings of the 20th Annual ACM Interaction Design and Children

Author Metrics πŸ“Š :Β 

Dr. Shaw’s research has been well-received within the academic community, with several of her articles published in high-impact journals. Her contributions have significantly influenced the fields of education, computer science, and multicultural studies.

πŸ“… Research Timeline:

Dr. Shaw’s academic journey began with her undergraduate studies in Human Biology at Stanford University, followed by her master’s degree at the University of Nevada, Las Vegas. She then pursued her doctoral studies at the University of Pennsylvania, where she conducted groundbreaking research on integrating arts and technology in education. Her postdoctoral fellowship at NYU Steinhardt marks the latest phase in her ongoing commitment to educational innovation and social justice.

Dr Jinjin Hu | Digital economy | Best Researcher Award |

Dr. Jinjin Hu | Digital economy | Best Researcher Award.

Harbin Institute of Technology (Shenzhen),China

Professional Profiles:

SCOPUS

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Jinjin Hu is a Ph.D. candidate in Strategy & Entrepreneurship at Harbin Institute of Technology, Shenzhen, China, with research interests in digital transformation, corporate networks, and innovative performance. He holds a Master’s degree in Finance and a Bachelor’s degree in Accounting. Jinjin has published in renowned journals and received honors such as the National Scholarship. He actively contributes to research projects and serves as a reviewer for academic journals.

πŸŽ“ Education:

Dr. Jinjin Hu holds a Ph.D. in Strategy & Entrepreneurship from the School of Economics and Management at Harbin Institute of Technology, Shenzhen, China, where he is currently pursuing his doctoral studies. He also earned a Master of Arts in Finance from the same institution and holds a Bachelor of Science in Accounting from Huazhong Agricultural University, Wuhan, China.

πŸ” Research Focus:

His research interests encompass a broad spectrum within the realms of knowledge and innovation, corporate strategy, international strategy, patents & intellectual property rights, digital transformation, and entrepreneurship. Dr. Hu’s work delves into understanding the impact of digital technologies on corporate innovation, the dynamics of corporate networks, and the strategic implications of technological advancements.

πŸ† Honors & Awards:

Dr. Jinjin Hu has received prestigious accolades for his academic achievements, including the National Scholarship in 2021, the First Prize in the National β€œChinese Accounting Network School Cup” Competition in 2019, and the Third Prize in the National β€œInnovation and Entrepreneurship Challenge Cup” in 2018.

Professional Experience: πŸ’Ό

He has contributed significantly to various research projects funded by esteemed organizations such as the National Natural Science Foundation and the National Social Science Fund. Dr. Hu also serves as a reviewer for reputable journals in his field and has hosted sub-forums at academic conferences.

Β πŸ“š Top Noted Publications :

Title: Digital Economy Development and Venture Capital Networks: Empirical Evidence from China
Author: Jinjin Hu, Dong Huo, Delin Wu
Journal: Technological Forecasting and Social Change
Citation: 2024, Volume 203, Article 123338
Index: ABS3*, SSCI Q1
Year of Publish: 2024

 

Title: A Study on the Privatization Decisions of China Concepts Stock Based on the Tax Shield Effect
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Journal of Systems Science and Systems Engineering
Citation: 2023, Volume 32(5), Pages 623–640
Index: SSCI Q3
Year of Publish: 2023

 

Title: Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanismβ€”Case Study of Patent Applications
Author: Xue Zhao, Delin Wu, Wei Wu, Jinjin Hu, Yibo Lian, Jianwei Shan
Journal: Data Analysis and Knowledge Discovery
Citation: 2023, Volume 7(8), Pages 30–45
Index: CSSCI Q2
Year of Publish: 2023

 

Title: Digital Economy and Environmental Governance Performance: Empirical Evidence from 275 Cities in China
Author: Jinjin Hu, Xue Zhao, Delin Wu, Wei Wu
Journal: Environmental Science and Pollution Research
Citation: 2023, Volume 30(10), Pages 26012–26031
Index: SSCI Q1
Year of Publish: 2023

 

Title: Implementation of Industrial Enterprises’ Green Innovation Strategy under Technology Spillover
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Technology Analysis and Strategic Management
Citation: 2023
Index: ABS2*, SSCI Q3
Year of Publish: 2023

Author Metrics πŸ“Š :Β 

His scholarly output is characterized by high-quality publications and active engagement in the academic community as evidenced by his reviewer role for journals. Dr. Hu’s publications have garnered attention within the academic community, contributing to the advancement of knowledge in his field.

πŸ“… Research Timeline:

Throughout his academic journey, Dr. Jinjin Hu has consistently demonstrated a dedication to research excellence and scholarly inquiry. From his undergraduate studies in Accounting to his current doctoral research in Strategy & Entrepreneurship, he has maintained a steadfast commitment to expanding the frontiers of knowledge in his areas of expertise

Ms Feruz Elmay | Digital asset management | Best Researcher Award |

Ms. Feruz Elmay | Digital asset managementΒ  | Best Researcher Award.

Khalifa University, United Arab Emirates

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

πŸ‘¨β€πŸŽ“ Bio Summary:

Feruz Elmay, an adept professional in the realm of Electrical and Computer Engineering, hails from Abu Dhabi, UAE. With a comprehensive educational background and notable expertise in blockchain technology, artificial intelligence, and computer security, Feruz stands at the forefront of technological innovation.

πŸŽ“ Education:

Feruz pursued her higher education at Khalifa University of Science and Technology in Abu Dhabi, UAE. She earned a Bachelor of Science in Computer Engineering, followed by a Master of Science in Electrical and Computer Engineering, achieving commendable GPAs in both programs.

πŸ” Research Focus:

Feruz’s research primarily revolves around blockchain technology and its applications in various domains. She has delved into areas such as blockchain-based traceability in logistics and shipping, NFTs for trusted traceability in digital twins, and artificial intelligence for water-energy nexus demand forecasting.

πŸ† Honors & Awards:

Throughout her academic journey, Feruz has been recognized for her outstanding achievements. She secured a Full International Scholarship for her bachelor’s degree, received certificates of appreciation for academic excellence, and was honored on the Dean’s and President’s lists for her exemplary performance.

Professional Experience: πŸ’Ό

Feruz has garnered valuable experience through her roles at Khalifa University of Science and Technology. As a Research Associate, she has contributed extensively to blockchain-related projects, including smart contract development and academic publications. Her previous position as a Research and Teaching Assistant equipped her with diverse skills in smart contract coding, testing, and analysis.

πŸ“š Top Noted Publications :

Elmay, F.K., Salah, K., Jayaraman, R., Omar, I.A. (2022). “Using NFTs and Blockchain for Traceability and Auctioning of Shipping Containers and Cargo in Maritime Industry.” IEEE Access, 10, 124507-124522.

Elmay, F.K., Salah, K., Yaqoob, I., Jayaraman, R., Battah, A., Maleh, Y. (2022). “Blockchain-based Traceability for Shipping Containers in Unimodal and Multimodal Logistics.” IEEE Access, 10, 133539-133556.

Alhendi, A.A., Al-Sumaiti, A.S., Elmay, F.K., Wescaot, J., Kavousi-Fard, A., et al. (2022). “Artificial Intelligence for Water–Energy Nexus Demand Forecasting: A Review.” International Journal of Low-Carbon Technologies, 17, 520-534.

Elmay, F.K., Madine, M., Salah, K., Jayaraman, R. (2023). “NFTs for Trusted Traceability and Management of Digital Twins for Shipping Containers.” IEEE International Conference on Pervasive Computing and Communications.

Elmay, F., Kadadha, M., Mizouni, R., Singh, S., Otrok, H., Mourad, A. (2024). “Digital Twins and Dynamic NFTs for Blockchain-based Crowdsourced Last-Mile Delivery.” Information Processing & Management, 61(4), 103756.

Author Metrics πŸ“Š :Β 

Feruz’s scholarly work has garnered recognition in the academic community, evident from her author metrics such as citation counts and publication impact. Her publications have received citations in reputable journals and conferences, reflecting the relevance and influence of her research contributions.

πŸ“… Research Timeline:

Feruz’s journey in research and academia has been marked by a timeline of notable milestones. From her undergraduate studies to her current role as a Research Associate, each phase has contributed to her growth as a proficient researcher and technologist, shaping her into a leader in her field.

Dr KAI JIANG | Digital Economics | Best Researcher Award |

Dr. KAI JIANG | Digital EconomicsΒ  | Best Researcher Award.

SHANDONG UNIVERSITY,China

Professional Profiles:

SCOPUS

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Kai Jiang is a distinguished researcher at The Center for Economic Research, Shandong University. With a solid background in economics, he has developed a keen interest in institutional economics, international trade, and financial risk management. His work is highly regarded in academic circles, reflected by numerous publications and prestigious awards.

πŸŽ“ Education:

Dr. Jiang is currently pursuing a Direct PhD at The Center for Economic Research, Shandong University, a journey he began in 2020. He holds a Bachelor of Arts in Economics from the School of Business at Shandong University, completed in 2019.

πŸ” Research Focus:

Dr. Jiang’s research spans several critical areas within economics, including the impact of institutional differences on foreign direct investment (FDI), the effects of digital governance on global carbon intensity, and the implications of financial policies on labor markets. His work often explores the interplay between institutional frameworks and economic performance, both domestically and internationally.

πŸ† Honors & Awards:

Dr. Jiang’s outstanding contributions to economic research have earned him several accolades. He received the “Top 10 Best Chinese Papers on International Investment in 2022” award from the World Economic Yearbook of the Institute of World Economics, Chinese Academy of Social Sciences. Additionally, he was awarded the Shandong Hi-Speed Scholarship in 2023 for his academic achievements and has won multiple prizes for his exceptional papers at various academic forums and annual meetings.

Professional Experience: πŸ’Ό

In addition to his research, Dr. Jiang has gained significant teaching and research experience. He has served as a Teaching Assistant in Advanced Microeconomics at Shandong University and as a Research Assistant at several prestigious institutions, including the Chinese Academy of Social Sciences Camphor Economics Academic Circle, the International Monetary Institute at Renmin University of China, and the Center for International Resource Economics at Peking University.

πŸ“š Top Noted Publications :

Title: How Does Digital Government Affect Carbon Intensity at the Global Level? New Perspective of Resource Allocation Optimization

Authors: Feng, Y., Liu, G., Meng, X., Jiang, K. (Co-first Author), Shi, J., Pan, Y.

Journal: Resources Policy

Year of Publication: 2024

Volume: 94

Article Number: 105108

Author Metrics πŸ“Š :Β 

Dr. Jiang’s scholarly output is reflected in his author metrics, with his works frequently cited in the field of economics. His contributions have significantly influenced contemporary discussions on institutional economics and international trade policies.

πŸ“… Research Timeline:

Dr. Jiang’s research journey began with his undergraduate studies in economics at Shandong University, culminating in several groundbreaking papers during his PhD tenure. His research has evolved from analyzing domestic economic policies to examining global economic phenomena, showcasing a trajectory of increasing complexity and impact.

Dr D FERLIN DEVA SHAHILA | Image processing | Best Researcher Award |

Dr D. FERLIN DEVA SHAHILA | Image processingΒ | Best Researcher Award.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. D. Ferlin Deva Shahila is an accomplished researcher and academic with a strong background in Electrical and Electronics Engineering. She has earned her Ph.D. with a focus on image enhancement techniques, contributing significantly to the field of digital image processing. Dr. Shahila is known for her innovative research, publications in prestigious journals, and active participation in international conferences.

πŸŽ“ Education:

Dr. Shahila began her academic journey with a Diploma in Electrical and Electronics from Moderator Gnanadason Polytechnic, under Manonmaniam Sundaranar University, where she graduated with first-class honors in April 2000. She then pursued her B.E. in Electronics and Communication Engineering from Sun College of Engineering and Technology, also under Manonmaniam Sundaranar University, graduating in April 2003 with a first-class degree. She completed her M.E. in Electronics and Communication Engineering from C.S.I. Institute of Technology, affiliated with Anna University, Thirunelveli, in June 2010, again securing first-class marks. Dr. Shahila obtained her Ph.D. from NI University in November 2021, focusing on empirical studies and the development of image enhancement techniques.

πŸ” Research Focus:

Dr. Shahila’s research primarily revolves around digital image processing, specifically the enhancement of image quality. Her Ph.D. thesis involved developing a Parallel Non-linear De-Blocking (PN-DB) method to improve digital image quality by minimizing blocking artifacts. This method integrates adaptive structures directional lifting with discrete wavelet transform, direction-aligned optimal decision models, and a constant coefficient-based sin interpolation filter. Her work aims to advance the efficiency of digital image transmission and processing systems.

πŸ† Honors & Awards:

Throughout her career, Dr. Shahila has been recognized for her contributions to the field of image processing and digital communication. She has been awarded for her innovative research and active participation in academic and professional communities. Her dedication to advancing technology and improving digital image quality has earned her numerous accolades and honors.

Professional Experience: πŸ’Ό

Dr. Shahila has held various academic and research positions, contributing significantly to the development of advanced digital image processing techniques. She has been involved in teaching and mentoring students, guiding them in their research projects, and collaborating with fellow researchers on various innovative projects. Her professional experience also includes presenting papers at international conferences and publishing research in renowned journals.

πŸ“š Top Noted Publications :

Title: IOT Based Remote Heartbeat Monitoring
Authors: S. Joseph, D. F. Deva Shahila, S. Patnaik
Citation Index: 10
Year of Publication: 2019
Conference: 2019 International Conference on Advances in Computing, Communication and …

Title: Soft Computing-Based Non-Linear Discriminate Classifier for Multimedia Image Quality Enhancement
Authors: D. F. Deva Shahila, S. H. Krishnaveni, V. Stephen
Journal: International Journal of Computers and Applications
Volume: 43, Issue 7, Pages 674-683
Citation Index: 4
Year of Publication: 2021

Title: Detection of Retinal Hemorrhage Using Splat Feature Classification Technique
Authors: Ferlin Deva Shahila D., R. V. Athira
Journal: International Journal of Engineering Research and Applications
ISSN: 2248-9622
Citation Index: 4
Year of Publication: Not specified

Title: Quality Assessment on Digital Images Using Parallel Non-Linear De-Blocking Model
Authors: D. F. D. Shahila, S. H. Krishnaveni
Journal: WSEAS Transactions on Signal Processing
Volume: 12, Pages 118-129
Year of Publication: 2016

Author Metrics πŸ“Š :Β 

Dr. Shahila’s research contributions have been widely recognized and cited in the academic community. Her publications have been indexed in reputable journals, and her work has been referenced by other researchers in the field. She has also been involved in reviewing articles for various scientific journals, further establishing her as an authority in digital image processing.

πŸ“… Research Timeline:

Dr. Shahila’s research journey began with her diploma in 2000 and continued with her B.E. in 2003 and M.E. in 2010. Her significant research contributions started during her Ph.D. studies, which she completed in 2021. Since then, she has published multiple papers and presented her work at international conferences, focusing on advancing digital image enhancement techniques and their applications in various fields. Her research timeline reflects her dedication to improving image processing systems and her continuous effort to contribute to technological advancements.

Mr Mohamed OUHSSINI | Cloud security | Best Research Article Award |

Mr. Mohamed OUHSSINI | Cloud security | Best Research Article Award.

University IBN Zohr,Morocco

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLARΒ 

πŸ‘¨β€πŸŽ“ Bio Summary:

Mohamed OUHSSINI is a Professor in the Computer Science Department at University IBN ZHOR in Agadir, Morocco. His expertise spans cloud security, DDoS attack detection and mitigation, and the applications of machine learning and deep learning in IoT security. He has significantly contributed to advancing research and education in computer science, particularly in cybersecurity.

πŸŽ“ Education:

Mohamed OUHSSINI earned a Master’s degree in Computer Science in 2017. This academic background laid the foundation for his expertise in cloud security and related technologies, enabling him to address complex challenges in the field.

πŸ” Research Focus:

Mohamed’s research interests include cloud security, DDoS attacks detection and mitigation, deep learning, machine learning, and IoT security. He focuses on developing comprehensive frameworks and proactive systems for detecting and preventing cyber threats in cloud environments.

πŸ† Honors & Awards:

Throughout his career, Mohamed has received recognition for his contributions to computer science. His innovative approaches to cloud security and DDoS attack mitigation have garnered accolades in both academic and professional circles.

Professional Experience: πŸ’Ό

Mohamed has been a Professor in high school for seven years, where he has dedicated himself to teaching and mentoring students in computer science. His practical experience in the field complements his academic endeavors, providing a well-rounded perspective on cybersecurity challenges and solutions.

πŸ“š Top Noted Publications :

DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing”
Ouhssini, M., Afdel, K., Agherrabi, E., Akouhar, M., Abarda, A.
Journal of King Saud University – Computer and Information Sciences, 2024, 36(2), 101938
This paper presents a comprehensive framework for detecting and preventing DDoS attacks in cloud computing environments.

“Distributed intrusion detection system in the cloud environment based on Apache Kafka and Apache Spark”
Ouhssini, M., Afdel, K., Idhammad, M., Agherrabi, E.
5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021
This conference paper discusses a distributed intrusion detection system leveraging Apache Kafka and Apache Spark, cited 4 times.

“Towards a Proactive System of DDoS Attacks Detection in the Cloud”
Ouhssini, M., Afdel, K., Agherrabi, E.
Advances in Intelligent Systems and Computing, 2021, 1383 AISC, pp. 921–933
This conference paper explores a proactive system for detecting DDoS attacks in the cloud, aimed at enhancing security measures.

Author Metrics πŸ“Š :Β 

Mohamed’s research contributions are reflected in his author metrics, with notable presence on platforms such as ORCID, ResearchGate, and Google Scholar. His Google Scholar profile, for example, showcases numerous citations and a strong h-index, highlighting the influence of his work in the academic community.

πŸ“… Research Timeline:

Since obtaining his Master’s degree in 2017, Mohamed has consistently advanced his research in computer science. Over the past seven years, he has developed and refined methodologies for enhancing cloud security and mitigating DDoS attacks. His research timeline illustrates a dedicated effort to address pressing issues in cybersecurity through innovative solutions and collaborative projects.