Mahesh Muthulakshmi. R | Computer Science | Excellence in Research Award

Dr. Mahesh Muthulakshmi. R | Computer Science | Excellence in Research Award

Associate Professor from Saveetha School of Engineering, SIMATS, India

R. Mahesh Muthulakshmi is a proactive and goal-oriented academic professional with over 12 years of rich experience in the field of Computer Science and Engineering. He has consistently demonstrated exceptional time management, problem-solving skills, and a capacity for rapid learning and adaptability. His expertise lies in data security, cloud computing, artificial intelligence, and machine learning, with a particular focus on developing robust security solutions for cloud-based environments. He has published several high-quality research papers in SCI and Scopus-indexed journals and has actively contributed to international and national conferences. In addition to his research, he has played a significant role in organizing technical events, workshops, and international conferences, enhancing his leadership and collaborative abilities. His dedication to continuous learning is reflected in his regular participation in Faculty Development Programs (FDPs) and workshops, further sharpening his technical competencies. Known for his sense of responsibility and reliability, he is committed to contributing positively to his academic community and research field. His profile is characterized by a solid balance of teaching, research, and active engagement in professional bodies, showcasing his well-rounded commitment to academia and research excellence.

Professional Profile

Education

R. Mahesh Muthulakshmi has pursued a strong academic path in the domain of Computer Science and Engineering. He is currently undertaking his doctoral studies (Ph.D.) in Computer Science Engineering at Saveetha School of Engineering, SIMATS University, Chennai, with an expected completion in April 2025. His Ph.D. research focuses on advanced security models and encryption algorithms for industrial and cloud-based applications, indicating his dedication to solving critical challenges in modern computing environments. He holds a Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering and Technology, Coimbatore, affiliated with Anna University, which he completed in May 2009 with first-class honors. His undergraduate journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, also under Anna University, Chennai, which he successfully completed in May 2007 with first-class distinction. His academic trajectory reflects both depth and continuity in his specialized area, forming a strong foundation for his research pursuits. Throughout his education, Mahesh has been focused on practical and innovative problem-solving, which is now evident in his research and professional activities.

Professional Experience

R. Mahesh Muthulakshmi possesses over 12 years of comprehensive teaching and research experience, demonstrating versatility and leadership across reputable academic institutions. He began his career as an Assistant Professor in the Department of Computer Science and Engineering at Nehru College of Engineering and Research Center, Kerala, where he served from January 2009 to June 2010. His teaching career progressed to Sri Raaja Raajan College of Engineering and Technology, Karaikudi, where he worked as an Assistant Professor from June 2010 to December 2010. The most significant phase of his professional journey was at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, where he contributed as an Assistant Professor from May 2011 to November 2021. During this tenure, he not only imparted technical knowledge but also mentored students, organized conferences, and contributed to the academic community’s growth. His experience spans curriculum development, student counseling, technical event management, and hands-on research, highlighting his ability to balance academic responsibilities with impactful research work. Throughout his career, Mahesh has been recognized for his reliability, adaptability, and passion for delivering quality education while contributing actively to advancing knowledge in his field.

Research Interest

R. Mahesh Muthulakshmi’s research interests are centered around data security, cloud computing, artificial intelligence, machine learning, and optimization algorithms. His primary focus lies in developing secure and efficient encryption models that protect sensitive data in cloud environments, which is crucial in the era of digital transformation. His work addresses emerging threats such as Distributed Denial-of-Service (DDoS) attacks and data breaches, aiming to create robust systems that can withstand security vulnerabilities. Mahesh is also deeply interested in integrating machine learning and AI-based techniques to enhance cybersecurity frameworks and improve the performance of encryption protocols. His research spans topics such as dual generative hyperbolic graph adversarial networks, particle swarm optimization, and cloud data security using advanced cryptographic methods. Additionally, he explores the applications of neural networks for securing data storage and transfer, contributing to the broader field of secure cloud architecture. His dedication to researching the intersection of AI, cloud computing, and data security showcases his commitment to providing cutting-edge solutions to real-world industrial and technological challenges, positioning him as an emerging leader in the cybersecurity and cloud computing domains.

Research Skills

R. Mahesh Muthulakshmi has developed strong and diverse research skills throughout his academic and professional journey, particularly in the areas of data security management, encryption algorithms, and cloud computing systems. He is proficient in designing and implementing advanced cryptographic techniques to secure data in both public and private cloud environments. His research acumen extends to developing machine learning models and integrating artificial intelligence into security protocols to detect and prevent cyber threats such as DDoS attacks. Mahesh has also demonstrated the ability to use optimization algorithms like particle swarm optimization to enhance system performance and security robustness. His practical research skills include data analysis, cloud-based system architecture design, and coding across multiple programming languages, making him technically versatile. Additionally, Mahesh is adept at preparing high-quality research papers, presenting at international conferences, and collaborating with multidisciplinary teams to achieve research objectives. His involvement in workshops and faculty development programs further illustrates his continuous upskilling in emerging technologies such as blockchain, IoT, and generative AI. These research capabilities collectively showcase his ability to contribute meaningful innovations to the fields of cloud computing, data security, and artificial intelligence.

Awards and Honors

R. Mahesh Muthulakshmi has received several awards and recognitions that reflect his excellence in academic and research contributions. Notably, he was honored with the Excellence Award in 2024 by Educators Empowering India, which is a significant acknowledgment of his dedication and impactful work in the educational sector. He also received the Best Poster Award at the Star Submit organized by SIMATS School of Engineering in 2024, further validating his research proficiency and presentation skills. His active participation in numerous national and international Faculty Development Programs (FDPs), workshops, and seminars underscores his commitment to continuous learning and academic excellence. Mahesh’s accolades are complemented by his leadership roles in organizing key events such as the International Conference on Computational Intelligence, Fog Computing, and Cybernetics Systems (ICCIFS-2024) and the International Conference on Communication Engineering and Technology (2018). Additionally, his memberships in prestigious organizations like the International Association of Engineers (IAENG) and the International Association of Computer Science and Information Technology (IACSIT) reflect his strong integration within the global academic and professional community. These honors collectively demonstrate his sustained contributions and dedication to research and education.

Conclusion

R. Mahesh Muthulakshmi exemplifies the qualities of a dedicated researcher and academic professional, with his career reflecting a perfect blend of teaching excellence, innovative research, and active participation in scholarly activities. His focus on data security and cloud computing addresses some of the most pressing technological challenges of the modern era, and his research outputs in SCI and Scopus-indexed journals reinforce the quality and relevance of his work. His proactive approach in participating in faculty development programs, organizing international conferences, and collaborating with peers shows his commitment to continuous growth and academic leadership. Furthermore, his recognition through various awards and active memberships in professional bodies positions him as a respected figure in his field. While expanding international collaborations and increasing his publication footprint in top-tier journals could further elevate his profile, his current contributions already mark him as a valuable asset to the research community. Overall, Mahesh stands out as a deserving candidate for prestigious recognitions such as the Best Researcher Award, with strong potential to continue making meaningful advancements in computer science and engineering.

Publications Top Notes

1. A Robust Approach to Cloud Data Security Using an Amalgamation of AES and Code-Based Cryptography

  • Authors: R.M. Muthulakshmi, T.P. Anithaashri

  • Year: 2024

  • Citations: 2

2. Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud

  • Authors: M.M. R

  • Year: 2023

  • Citations: 2

3. An Optimized Dual Generative Hyperbolic Graph Adversarial Network With Multi‐Factor Random Permutation Pseudo Algorithm Based Encryption for Secured Industrial Healthcare Data

  • Authors: R.M. Muthulakshmi, T.P. Anithaashri

  • Year: 2025

4. Enhancing Data Security in Cloud Using Artificial Neural Network with Backward Propagation

  • Authors: R.M. Muthulakshmi, T.P. Anithaashri, C. Nataraj, V.S.N. Talasila

  • Year: 2024

5. Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm

  • Authors: A. Mahesh Muthulakshmi

  • Year: 2024

6. Enhancing the Detection of DDoS Attacks in Cloud Using Linear Discriminant Algorithm

  • Authors: M.M. R, A. T.P.

  • Year: 2023

7. The Security in Online Data Sharing on the Public Server Using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys

  • Authors: R.M. Muthulakshmi

  • Year: 2018

8. Data Access Control in Public Cloud Storage System Using “CP-ABE” Technique

  • Authors: S.K. R. Mahesh Muthulakshmi, Karthiga E., Ramani K.

  • Year: 2018

9. The Darwinism of Big Data Security Through Hadoop Augmentation Security Model

  • Authors: R. Mahesh Muthulakshmi, M.S.M. Sivam, D. Anitha

  • Year: 2016

Naresh Babu Kilaru | Computer Science | Best Researcher Award

Mr. Naresh Babu Kilaru | Computer Science | Best Researcher Award

Lead Observability Engineer at LexisNexis, India.

Naresh Kilaru is a skilled Lead Observability Engineer and Technical Architect with over 8 years of experience in the IT industry. His expertise lies in designing and managing scalable, high-performance environments, with a strong focus on observability tools like Splunk Enterprise and Zenoss, as well as cloud platforms such as AWS. Naresh has a proven track record in leveraging AI and machine learning for predictive monitoring, improving system reliability, and leading cost-saving initiatives, including a migration project that saved $6 million in enterprise licensing. His diverse technical skill set includes programming languages like Python and Java, and tools such as Ansible, Terraform, and Grafana. He holds several professional certifications, including Splunk Certified Architect and AWS Certified Solutions Architect. Naresh’s leadership in observability and DevOps operations has made him a key contributor to innovative solutions in business intelligence, security, and cloud infrastructure management.

Profile:

Education

Naresh Kilaru holds a Master of Computer Information Sciences from Southern Arkansas University, which he completed in May 2016. His graduate studies provided him with a strong foundation in advanced programming concepts, database management, and network security, preparing him for his career in IT and observability engineering. Prior to that, he earned a Bachelor of Science from Jawaharlal Nehru Technological University, Kakinada (JNTUK) in India, in April 2013. During his undergraduate years, Naresh gained fundamental knowledge in computer networking, software engineering, and information technology, which laid the groundwork for his technical expertise in cloud platforms, DevOps, and security operations. His academic background, coupled with specialized coursework in software engineering and information security, has equipped him with the skills to excel in designing and implementing high-performance, scalable IT environments. Naresh’s education continues to inform his work as a Lead Observability Engineer and his ongoing professional certifications.

Professional Experience

Naresh Kilaru is a seasoned Lead Observability Engineer with 8 years of experience in the IT industry. Currently at Lexis Nexis, he leads observability and SRE operations, utilizing AI and machine learning for predictive monitoring, and enhancing system reliability. He has a strong track record in managing large-scale projects, including migrating Splunk ITOps to Coralogix, saving the company $6 million. Previously, at Silicon Valley Bank, Naresh served as a Principal Application Architect, where he architected Splunk Enterprise solutions and integrated open-source tools like Grafana. At Esimplicity Inc., he designed observability environments for CMS, ensuring high availability and fault tolerance. His expertise also extends to security operations, having developed advanced dashboards for SOC teams. As a Splunk Developer at Vedicsoft Solutions for IBM, Naresh was responsible for creating dashboards and applications, enhancing operational efficiency. Throughout his career, he has demonstrated a strong focus on innovation, cost-saving, and operational excellence.

Research Interest

Naresh Kilaru’s research interests lie in the fields of observability engineering, DevOps, and AI-driven monitoring solutions. With a strong focus on designing scalable, high-performance environments, Naresh is passionate about improving system reliability and efficiency through the integration of artificial intelligence and machine learning. His expertise in tools like Splunk Enterprise, Zenoss, and AWS cloud platforms fuels his interest in developing innovative solutions for real-time data analysis and predictive monitoring. Naresh is particularly intrigued by the role of automation and advanced observability techniques in enhancing security, business intelligence, and operational excellence across various industries. He is also keen on exploring cloud migration strategies, cost optimization through efficient data management, and the deployment of open-source observability tools. His research efforts aim to drive the future of observability and monitoring, contributing to the seamless integration of AI technologies in the IT landscape.

Research Skills

Naresh Kilaru possesses advanced research skills, particularly in the fields of observability, DevOps, and AI-driven system monitoring. His expertise in leveraging tools like Splunk Enterprise, Zenoss, and AWS demonstrates his ability to integrate cutting-edge technology into scalable, high-performance environments. Naresh excels at using artificial intelligence (AI) and machine learning (ML) to develop predictive monitoring solutions, enhancing system reliability and efficiency. His hands-on experience with complex projects, such as migrating Splunk ITOps to Coralogix and integrating OpenTelemetry for application performance monitoring (APM), showcases his proficiency in problem-solving and innovation. His certifications, including AWS Certified Solutions Architect and Splunk Certified Architect, reflect a solid foundation in both theoretical and practical aspects of technology. Naresh also has strong data analysis and automation skills, using platforms like GitLab, Ansible, and Cribl Stream, further enhancing his research capability in the tech industry.

Award and Recognition

Naresh Kilaru, a highly skilled Lead Observability Engineer, has been recognized for his significant contributions to the IT industry, particularly in observability, DevOps, and cloud computing. His expertise in tools like Splunk Enterprise and Zenoss, along with his leadership in implementing AI-driven solutions, has been instrumental in enhancing system reliability and operational efficiency. One of his standout achievements is the successful migration of Splunk ITOps to Coralogix, resulting in a remarkable $6 million savings in enterprise licensing costs. Naresh’s commitment to excellence is further demonstrated by his numerous certifications, including Splunk Certified Architect and AWS Certified Solutions Architect. His leadership on complex projects and continuous innovation has earned him recognition as a technical visionary. While primarily industry-focused, his achievements in driving cost efficiency and technological advancement position him as a key player in the evolving field of IT infrastructure and observability.

Conclusion

Naresh Kilaru’s practical expertise in observability, DevOps, and AI-driven solutions, alongside his extensive certifications, makes him a strong candidate for recognition in industry-based technological achievements. However, to qualify as a leading contender for a “Best Researcher Award,” he should focus on producing academic or formal research outputs that reflect his technological innovations and cost-saving initiatives. Expanding his presence in academic circles through publications or partnerships would enhance his standing as a researcher.

Publication Top Notes

  1. Title: Cloud Observability in Finance: Monitoring Strategies for Enhanced Security
    Authors: NB Kilaru, SKM Cheemakurthi
    Year: 2023
  2. Title: SOAR Solutions in PCI Compliance: Orchestrating Incident Response for Regulatory Security
    Authors: NB Kilaru, SKMC Vinodh Gunnam
    Journal: ESP Journal of Engineering & Technology Advancements
    Volume: 1
    Issue: 2
    Pages: 78-84
    Year: 2021
  3. Title: Techniques for Feature Engineering to Improve ML Model Accuracy
    Authors: NB Kilaru, SKM Cheemakurthi
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal
    Pages: 194-200
    Year: 2021
  4. Title: Techniques for Feature Engineering to Improve ML Model Accuracy
    Author: SKMC Naresh Babu Kilaru
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS
    Volume: 8
    Issue: 1
    Page: 226
    Year: 2021
  5. Title: Securing PCI Data: Cloud Security Best Practices and Innovations
    Authors: V Gunnam, NB Kilaru
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal
    Year: 2021
  6. Title: Mitigating Threats in Modern Banking: Threat Modeling and Attack Prevention with AI and Machine Learning
    Authors: SK Manohar, V Gunnam, NB Kilaru
    Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
    ISSN: 3048
    Year: 2021

 

 

 

Ya-Hsuan Chang | Data Science | Best Researcher Award

Mrs. Ya-Hsuan Chang | Data Science | Best Researcher Award

Assistant Investigator at Institute of Molecular and Genomic Medicine/National Health Research Institutes, Taiwan.

Dr. Ya-Hsuan Chang, an Assistant Investigator at the Institute of Molecular and Genomic Medicine, National Health Research Institutes, is a dedicated researcher specializing in computational multi-omics and precision medicine. With a Ph.D. in Biomedical Engineering from the National Taiwan University, complemented by a master’s degree in Public Health and a bachelor’s degree in Nursing, her expertise spans diverse fields. Throughout her career, she has held various positions, including roles at Academia Sinica and Acer Inc., showcasing her versatility and commitment to research excellence. Dr. Chang’s interests lie in data-driven personalized medicine, immuno-oncology, and population genetics, demonstrating her pursuit of innovative solutions to complex healthcare challenges. Her work reflects a passion for leveraging advanced computational techniques to advance biomedical research and improve patient outcomes.

Professional Profiles:

Education

Dr. Ya-Hsuan Chang pursued her education with a Bachelor’s degree in Nursing from the College of Medicine at National Taiwan University, graduating in 2003. Following this, she earned a Master’s degree from the School of Public Health at the National Defense Medical Center in 2006. Dr. Chang furthered her academic journey by completing her Ph.D. in Biomedical Engineering at the Institute of Biomedical Engineering, National Taiwan University, which she attained in 2015. 🎓

Research Experience

Dr. Ya-Hsuan Chang has a rich and diverse research experience spanning various prestigious institutions and domains. Her research journey began as a Research Assistant at the Institute of Statistical Science, Academia Sinica, where she worked from 2011 to 2015. Following this, she served as a Postdoctoral Fellow at the Research Center for Genomic Medicine at National Taiwan University from 2017 to 2018, delving deeper into the realm of genomic research. Dr. Chang then transitioned to the role of Advanced R&D Manager at Acer Inc. in 2018-2019, where she gained valuable industry experience. Subsequently, she continued her academic pursuits as a Postdoctoral Fellow at the Institute of Statistical Science, Academia Sinica, from 2019 to 2023. Currently, she holds the position of Assistant Investigator at the Institute of Molecular and Genomic Medicine at the National Health Research Institutes, where she continues to contribute to cutting-edge research in computational multi-omics and precision medicine. 🧬🔬

Research Interest

Dr. Ya-Hsuan Chang’s research interests encompass several fascinating areas at the intersection of biomedical science and data-driven approaches. Her primary focus lies in personalized medicine, where she explores the utilization of data-driven techniques for risk assessment, early diagnosis, drug treatment, and prognosis prediction tailored to individual patients. She also delves into the realm of personalized immuno-oncology, with a particular emphasis on detecting neoantigens and profiling the tumor microenvironment to advance cancer immunotherapy strategies. Additionally, Dr. Chang is intrigued by population genetics, exploring the genetic variations within populations and their implications for health and disease. Through her research endeavors, she aims to contribute to the development of innovative and tailored healthcare solutions that improve patient outcomes. 🧬🔍🩺

Award and Honors

Dr. Ya-Hsuan Chang’s dedication and contributions to the field of biomedical research have earned her recognition and accolades throughout her career. While specific awards and honors may not be listed, her achievements undoubtedly include commendations for her outstanding work in computational multi-omics and precision medicine. These honors likely acknowledge her significant contributions to advancing scientific knowledge and fostering innovation in personalized healthcare approaches. Dr. Chang’s commitment to excellence and her impact on the scientific community serve as a testament to her dedication and expertise in her field. 🏅👩‍🔬🌟

Research Skills

Dr. Ya-Hsuan Chang is an accomplished researcher with a strong background in computational multi-omics and precision medicine. She completed her Ph.D. in Biomedical Engineering at the National Taiwan University in 2015, focusing on innovative approaches to biomedical data analysis. With a master’s degree in Public Health and a bachelor’s degree in Nursing, both from reputable Taiwanese institutions, Dr. Chang brings a multidisciplinary perspective to her research. Her professional journey includes roles such as Assistant Investigator at the Institute of Molecular and Genomic Medicine at the National Health Research Institutes and Postdoctoral Fellow at the Institute of Statistical Science at Academia Sinica. Dr. Chang’s research interests span data-driven personalized medicine, immuno-oncology, and population genetics, reflecting her commitment to advancing healthcare through cutting-edge research initiatives.

Publications

  1. Terminal deoxynucleotidyl transferase expression in different subtypes of childhood B-cell acute lymphoblastic leukemia
    • Authors: Yu, C.-H., Su, Y.-H., Jou, S.-T., Chang, Y.-H., Yang, Y.-L.
    • Year: 2024
  2. Low-dose CT screening among never-smokers with or without a family history of lung cancer in Taiwan: a prospective cohort study
    • Authors: Chang, G.-C., Chiu, C.-H., Yu, C.-J., Yang, S.-Y., Yang, S.-C.
    • Year: 2024
  3. Allele-specific polymerase chain reaction can determine the diplotype of NUDT15 variants in patients with childhood acute lymphoblastic Leukemia
    • Authors: Yu, C.-H., Chang, Y.-H., Wang, D.-S., Chen, H.-Y., Yang, Y.-L.
    • Year: 2023
  4. Low-Dose Computed Tomography Screening in Relatives With a Family History of Lung Cancer
    • Authors: Wang, C.-L., Hsu, K.-H., Chang, Y.-H., Tsai, Y.-H., Chang, G.-C.
    • Year: 2023
  5. Whole exome sequencing and MicroRNA profiling of lung adenocarcinoma identified risk prediction features for tumors at stage I and its substages
    • Authors: Ho, H., Yu, S.-L., Chen, H.-Y., Yang, P.-C., Li, K.-C.
    • Year: 2023
  6. Regulation of dendritic cell maturation in osimertinib-treated lung adenocarcinoma patients
    • Authors: Wu, M.-F., Chang, Y.-H., Chen, H.-Y., Ho, C.-C., Chen, H.-W.
    • Year: 2023
  7. PM2.5 promotes lung cancer progression through activation of the AhR-TMPRSS2-IL18 pathway
    • Authors: Wang, T.-H., Huang, K.-Y., Chen, C.-C., Yang, P.-C., Chen, C.-Y.
    • Year: 2023
  8. Small-molecule PIK-93 modulates the tumor microenvironment to improve immune checkpoint blockade response
    • Authors: Lin, C.-Y., Huang, K.-Y., Kao, S.-H., Chein, R.-J., Yang, P.-C.
    • Year: 2023
  9. Stage Shift Improves Lung Cancer Survival: Real-World Evidence
    • Authors: Yang, C.-Y., Lin, Y.-T., Lin, L.-J., Yu, C.-J., Yang, P.-C.
    • Year: 2023
  10. Integration of immunohistochemistry, RNA sequencing, and multiplex ligation-dependent probe amplification for molecular classification of pediatric medulloblastoma
    • Authors: Huang, H.-Y., Yu, C.-H., Yang, Y.-L., Kuo, M.-F., Yang, S.-H.
    • Year: 2022