Amel SAHLI | Computer Science | Best Researcher Award

MS. Amel SAHLI | Computer Science | Best Researcher Award

École Nationale des Sciences de l’Informatique , Tunisia

Amel Sahli is a dedicated researcher pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique in Tunisia, focusing on optimizing e-learning processes through AI and key performance indicators. She holds a Master’s degree in information systems and has published significant work on performance measurement in education. Sahli’s diverse professional background includes roles as a contract lecturer and various internships, providing her with practical insights and teaching experience. Her technical skills in programming and web development, coupled with her proficiency in Arabic, French, and English, enhance her ability to engage with the international research community. Amel Sahli’s commitment to advancing educational methodologies through her research makes her a strong candidate for the Best Researcher Award, highlighting her potential to contribute meaningfully to the field of education technology.

 

Profile:

Education

Amel Sahli is currently pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique (ENSI) in Tunisia. Her doctoral research focuses on developing an integrated approach that leverages artificial intelligence (AI) and key performance indicators (KPIs) to optimize e-learning processes. Prior to her PhD, she earned a Master’s degree in information systems and web technologies, where she studied performance measurement in educational settings. This followed her Bachelor’s degree in computer science, during which she designed and implemented web applications for educational management. Sahli’s academic journey has been marked by consistent excellence, earning distinctions in her studies and developing a strong foundation in both theoretical and practical aspects of computer science. Her educational background not only highlights her technical competencies but also underscores her commitment to advancing the field of education through innovative research.

Professional Experiences

Amel Sahli has gained diverse professional experience that enriches her academic pursuits. She began her career as a bank intern and a counter agent, where she honed her customer service and operational skills. Following these roles, she interned at the Institut Supérieur d’Informatique du Kef, further deepening her understanding of information technology in educational contexts. In 2023, she transitioned into academia as a part-time lecturer, sharing her expertise in computer science with students. Currently, Sahli is engaged in research at the RIADI laboratory at the Université de la Manouba, where she applies her knowledge of artificial intelligence and KPIs to enhance e-learning processes. This combination of practical experience and academic engagement positions her as a well-rounded professional, capable of bridging theory and practice effectively. Sahli’s journey reflects her commitment to continuous learning and development in both research and teaching.

Research Skills

Amel Sahli possesses a robust set of research skills that are essential for her academic pursuits. Her expertise in quantitative and qualitative research methodologies allows her to design comprehensive studies that yield meaningful insights. Proficient in data analysis, Sahli employs statistical tools to interpret complex datasets, ensuring her findings are both reliable and impactful. Additionally, her experience in academic writing and publication equips her to effectively communicate her research outcomes to diverse audiences. Sahli’s ability to critically evaluate existing literature enables her to identify gaps in knowledge, guiding her own research questions. Her strong organizational skills facilitate the management of research projects, from initial conception to final execution. Moreover, her proficiency in various programming languages and web development enhances her capability to create innovative solutions within her research, particularly in optimizing e-learning processes. Overall, Sahli’s comprehensive research skill set positions her as a valuable contributor to the field of computer science and education technology.

Award and Recognition

Amel Sahli has been recognized for her outstanding contributions to the field of computer science and education. Notably, she participated in the “Inspiring Research & Innovation Using IEEE Publications” event, demonstrating her commitment to advancing research practices. Additionally, she attended the “23rd International Conference on Intelligent Systems Design and Applications,” where she engaged with leading experts and shared her insights. Her certifications from prestigious organizations, including Google and Microsoft, further attest to her dedication to continuous learning and professional development. Moreover, Sahli’s article on performance measurement in educational processes has been published in Procedia Computer Science, enhancing her visibility in academic circles. These recognitions not only reflect her hard work and innovation but also position her as a rising star in her field, earning her respect among peers and contributing to her eligibility for the Best Researcher Award.

Conclusion

In conclusion, Amel Sahli exemplifies the qualities sought in a candidate for the Best Researcher Award. Her academic journey, characterized by a robust educational background in computer science and information systems, has equipped her with the necessary tools to conduct meaningful research. Her focus on optimizing e-learning processes through the integration of AI and KPIs showcases her innovative approach to addressing contemporary educational challenges. Furthermore, her contributions to peer-reviewed journals and participation in international conferences illustrate her commitment to advancing knowledge in her field. Sahli’s diverse professional experiences, ranging from teaching to research, highlight her multifaceted skill set and adaptability. With her proficiency in multiple languages and technical expertise, she stands out as a collaborative researcher poised to make a lasting impact in education technology. Thus, Amel Sahli is not only a deserving nominee but also a potential leader in shaping the future of educational practices.

Publication Top Note

  • Conference Paper in Procedia Computer Science
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0
  • Conference Paper in Lecture Notes in Networks and Systems
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0

 

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