Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

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Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.

Muhammad Dilshad | Data Privacy and Security | AI & Machine Learning Award

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Mr. Muhammad Dilshad | Data Privacy and Security | AI & Machine Learning Award

Student at Quaid e Azam University Islamabad, Pakistan

Muhammad Dilshad is a dedicated and driven professional in the field of Computer and Information Technology. Holding a Master’s degree in Computer and Information Technology (MCIT) from Quaid-i-Azam University, Islamabad, he specializes in Cybersecurity, Networking, Machine Learning, and Blockchain. With practical experience in network performance monitoring and troubleshooting, he has contributed significantly to optimizing infrastructure security. His research interests revolve around enhancing Internet of Vehicles (IoV) security, employing Federated Learning, and integrating Blockchain technology to build decentralized, tamper-resistant frameworks. Proficient in various programming languages and analytical tools, he continually strives to apply emerging technologies for solving real-world security challenges.

Profile

Orcid

Education

Muhammad Dilshad began his academic journey with a strong foundation in science and mathematics, completing his Matriculation from BISE DG Khan Board. He then pursued an Intermediate of Computer Science (ICS) from the same board, gaining expertise in programming and computational concepts. His passion for technology led him to obtain a Bachelor of Science in Information Technology (BSIT) from Bahauddin Zakariya University, Multan, where he honed his skills in web development, networking, and database management. He further advanced his knowledge by earning a Master of Science in Information Technology (MSIT) from Quaid-i-Azam University, Islamabad, specializing in Machine Learning, Federated Learning, Blockchain, and Cybersecurity. His academic excellence is reflected in his impressive CGPAs and his continuous learning through various certifications.

Work Experience

Muhammad Dilshad has amassed valuable hands-on experience through his roles at Pakistan Telecommunication Company Limited (PTCL). He completed an internship at PTCL, where he actively monitored network performance, troubleshot connectivity issues, and assisted in optimizing infrastructure using tools like SolarWinds and CRM. He later transitioned into a Technical Support Associate (TSA) role in PTCL’s USD department, where he provided technical support, resolved network issues, and maintained high customer satisfaction ratings. His work has significantly contributed to improving service reliability and network security within the organization.

Research Interest

With a keen interest in cybersecurity, networking, and advanced computing paradigms, Muhammad Dilshad focuses his research on enhancing security frameworks for the Internet of Vehicles (IoV). His work primarily involves using Machine Learning techniques for DDoS attack detection and employing Federated Learning to create more secure, decentralized architectures. His expertise in Blockchain technology enables him to develop tamper-resistant security frameworks that protect critical data integrity. Additionally, he is passionate about applying Data Science methodologies for predictive analytics, improving network security, and optimizing intelligent systems. His research contributions aim to address contemporary challenges in network security and privacy, with a focus on real-world implementations.

Awards

Muhammad Dilshad has been recognized for his outstanding contributions to the field of Information Technology. His innovative research on IoV security and Blockchain applications has earned him nominations for prestigious awards in academia and industry. His work has been appreciated at international conferences, and he has received accolades for his impactful presentations on cybersecurity and emerging technologies. He continues to seek new opportunities to contribute to the scientific community and enhance technological advancements in cybersecurity and networking.

Publications

IOV Cyber Defense: Advancing DDoS Attack Detection with Gini Index in Tree Models (2024) – Published in a reputed journal, this paper explores the effectiveness of tree-based models in detecting cyber threats in IoV environments. Cited by multiple cybersecurity research articles.

Blockchain-Enabled Secure and Efficient DDoS Attack Detection Mechanisms in Connected Internet of Vehicles Using Federated Learning (2024) – Accepted at the 21st International Conference on Frontiers of Information Technology (FIT 2024). Recognized for innovative integration of Blockchain and Federated Learning.

Efficient DDoS Attack Detection in the Internet of Vehicles Using Gini Index and Federated Learning (2024) – Submitted to MDPI Journal, this paper proposes an advanced security mechanism for IoV systems. Highly relevant for researchers in cybersecurity.

Conclusion

Muhammad Dilshad’s dedication to advancing the fields of cybersecurity, networking, and artificial intelligence is evident in his extensive research and professional experience. His expertise in Machine Learning, Blockchain, and Federated Learning continues to contribute significantly to the development of secure, decentralized systems. Through his work at PTCL and his academic pursuits, he has demonstrated a strong commitment to innovation and problem-solving. With a growing list of publications, awards, and research contributions, he remains at the forefront of technological advancements, striving to make impactful changes in network security and intelligent systems.