Prof Dr Chien-Hua Tsai | Information Security | Best Researcher Award |

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Prof Dr. Chien-Hua Tsai | Information Security | Best Researcher Award.

Chihlee University of Technology ,Taiwan

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Prof. Dr. Chien-Hua Tsai is a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He holds a Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA. A Certified Ethical Hacker (CEH), Dr. Tsai specializes in information security, focusing on identity-based verification schemes and cryptographic approaches to NFTs and blockchain technology. His research contributions are widely recognized, with numerous publications in prestigious journals. In addition to his academic role, he provides consulting services on network management practices to various organizations.

🎓 Education:

Prof. Dr. Chien-Hua Tsai earned his Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA, in 2000. He also holds a professional certificate in Information Security with a focus on Certified Ethical Hacking (CEH), acquired from EC-Council in 2007.

🔍 Research Focus:

Prof. Tsai specializes in security-related research projects, including identity-based verification schemes and cryptographic approaches in NFT technologies. His work explores the intersection of blockchain, cryptography, and secure digital communications.

🏆 Honors & Awards:

Throughout his career, Prof. Tsai has received numerous accolades for his contributions to the field of information security and network management practices. His expertise and innovative research have been widely recognized in the academic and professional communities.

Professional Experience: 💼

Prof. Tsai serves as a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He also provides extensive consulting services on network management practices to various organizations, leveraging his deep knowledge and experience in the field.

 📚 Top Noted Publications :

“A Secure and Efficient Blockchain-Powered Scheme for e-Invoicing Application” [DOI: 10.1016/j.bcra.2024.100219]

“Supply Chain Financing Scheme Based on Blockchain Technology from a Business Application Perspective” [DOI: 10.1007/s10479-022-05033-3]

“A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings” [DOI: 10.34028/18/4/6]

“The Application of Multi-Server Authentication Scheme in Internet Banking Transaction Environments” [DOI: 10.1007/s10257-020-00481-5]

“An Efficient and Secure Weighted Threshold Signcryption Scheme” [DOI: 10.3966/160792642019092005018]

“New Proxy Blind Signcryption Scheme for Secure Multiple Digital Messages Transmission Based on Elliptic Curve Cryptography” [DOI: 10.3837/tiis.2017.11.020]

Author Metrics 📊 : 

Prof. Tsai’s research has garnered significant attention, with his publications being widely cited in the academic community. His contributions have helped advance the fields of blockchain technology and information security, reflecting his impact and influence in these areas.

📅 Research Timeline:

Prof. Tsai has a robust research timeline, consistently contributing to the field since earning his Ph.D. in 2000. His ongoing projects continue to address critical issues in security and cryptography, ensuring the relevance and application of his work in emerging technologies.

Prof Narendra Chaudhari | Security | Lifetime Achievement Award |

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Prof. Narendra Chaudhari | Security | Lifetime Achievement Award.

Indian Institute of Technology Indore,India

Professional Profiles:

SCOPUS

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Dr. Narendra S. Chaudhari is a distinguished academic and researcher currently serving as the Vice Chancellor of Assam Science and Technology University (ASTU) in Guwahati and a Professor in Computer Science and Engineering at the Indian Institute of Technology (IIT) Indore. With a career spanning over three decades, Dr. Chaudhari has held significant positions in prestigious institutions worldwide, contributing extensively to the fields of machine learning, network security, mobile computing, and more.

🎓 Education:

Dr. Chaudhari completed his Ph.D., M.Tech. in Computer Science, and B.Tech. in Electrical Engineering (with distinction) from IIT Bombay. His educational foundation laid the groundwork for his profound impact on computer science and engineering education and research.

🔍 Research Focus:

Dr. Chaudhari’s research encompasses machine learning, network security, mobile computing, novel neural network models, context-free grammar parsing, and optimization. His innovative work in these areas has significantly advanced both theoretical and practical aspects of computer science.

🏆 Honors & Awards:

Throughout his career, Dr. Chaudhari has received numerous accolades, including representing India in academic delegations to Sweden, Belarus, China, and Russia. He has initiated international collaborations and has been part of the Federation of Indian Chamber of Commerce and Industry (FICCI)’s academic delegations to Europe.

Professional Experience: 💼

Dr. Chaudhari’s professional journey includes significant roles at NTU Singapore, VNIT Nagpur, and UTU Dehradun. At NTU, he contributed to one of the top-ranking universities globally. As Director of VNIT Nagpur and Vice Chancellor of UTU Dehradun, he led major academic and administrative initiatives. He also trained scientists for DRDO, Ministry of Defense, Government of India, early in his career.

 📚 Top Noted Publications :

Title: Security Enhanced Group Based AKA Protocol for M2M Communication in an IoT Enabled LTE/LTE-A Network
Authors: B.L. Parne, S. Gupta, N.S. Chaudhari
Journal: IEEE Access
Citation Index: 83
Year of Publication: 2018

Title: EasySMS: A Protocol for End-to-End Secure Transmission of SMS
Authors: N. Saxena, N.S. Chaudhari
Journal: IEEE Transactions on Information Forensics and Security
Citation Index: 74
Year of Publication: 2014

Title: Nonlinear Channel Equalization with QAM Signal Using Chebyshev Artificial Neural Network
Authors: J.C. Patra, W.B. Poh, N.S. Chaudhari, A. Das
Conference: Proceedings of the 2005 IEEE International Joint Conference on Neural Networks
Citation Index: 73
Year of Publication: 2005

Title: Pragmatic Sensory Data Semantics with Service-Oriented Computing
Authors: R.S. Bhadoria, N.S. Chaudhari
Journal: Journal of Organizational and End User Computing (JOEUC)
Citation Index: 60
Year of Publication: 2019

Author Metrics 📊 : 

Dr. Chaudhari has supervised 44 Ph.D. students, demonstrating his commitment to nurturing the next generation of researchers. His prolific publication record reflects his significant contributions to advancing knowledge and technology in his field.

📅 Research Timeline:

1990: Joined as a Professor in Computer Science, training scientists for DRDO, Ministry of Defense, Govt of India.

2001-2009: Faculty at NTU Singapore, contributing to the institution’s high global ranking.

2009-Present: Professor at IIT Indore, continuing his impactful research and teaching.

2013-2018: Director at VNIT Nagpur, leading various academic initiatives.

2019-2021: Vice Chancellor at UTU Dehradun, overseeing university administration.

2022-Present: Vice Chancellor at ASTU Guwahati, steering the university towards academic excellence.

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

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

University IBN Zohr,Morocco

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 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.

🎓 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.

🔍 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.

🏆 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: 💼

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.

📚 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 📊 : 

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.

📅 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.