Lamia Fourati | Computer Science | Best Researcher Award

Prof Dr. Lamia fourati | Computer Science | Best Researcher Award

Computer science and multimedia higher institute of Sfax | Tunisia

Prof. Lamia Chaari Fourati is a distinguished Professor of Telecommunications at the Higher Institute of Computer Science and Multimedia (ISIMS), Sfax University, Tunisia, and a senior researcher at the Digital Research Center of Sfax (CRNS) within the SM@RTS Laboratory. With over two decades of academic and research excellence, she has established herself as one of North Africa’s leading figures in wireless communications, intelligent network systems, and AI-driven communication technologies. Her research is centered on the design, optimization, and security of wireless networks—including Wireless Body Area Networks (WBANs), Internet of Things (IoT), UAV-based networks (FANETs), and Internet of Vehicles (IoV). She has significantly contributed to developing MAC and routing protocols, trust management frameworks, and privacy-preserving communication systems for next-generation wireless infrastructures. Her innovative work also spans AI, machine learning, reinforcement learning, blockchain, and federated learning, applied to 6G, edge, and cloud computing ecosystems, with a focus on security, reliability, and energy efficiency. Prof. Fourati’s international collaborations are extensive. She serves as a Working Group Member in European COST Actions such as INTERACT (CA20120) and CA22168 on Physical Layer Security for Trustworthy and Resilient 6G Systems. She has led and participated in multiple sponsored projects on AI-based secure frameworks for UAVs, trust management in IoV, and smart water systems, in partnership with institutions like University of Troyes (France) and University of Aveiro (Portugal). Her research has also been pivotal in developing autonomous and energy-efficient communication systems for smart cities, vehicular networks, and healthcare applications. A dedicated educator and mentor, Prof. Fourati has supervised numerous Master’s and Ph.D. theses and has served on national and international doctoral juries. Her global academic engagements include visiting professorships in India, delivering advanced courses on LLMs, generative AI, network security, IoT, and mobile networks, as well as invited tutorials and talks at major IEEE and international events such as NoF, CRiSIS, IEEE ICBC, and ICHI. Her distinguished contributions have earned her prestigious recognitions, including the African Union Kwame Nkrumah Regional Scientific Award (2016), Miss.Africa Seed Fund Award (2018), Burj Kallel Award for Best Researcher (2019), and Outstanding Woman in Tech – North Africa (2021). In 2024, she was named among the Top Tunisian Women in Tech. An IEEE Senior Member and active participant in organizations such as OWSD, N2Women, ISOC, and ITU, Prof. Fourati continues to inspire the next generation of researchers and women in STEM. Her work integrates sustainable development, green computing, and ethical AI, aiming to build a future where intelligent, secure, and inclusive communication systems empower societies globally.

Profiles: Scopus | Orcid

Featured Publications

Fourati, L. C. (2024). Investigation of security threat datasets for intra- and inter-vehicular environments. Sensors, 24(11), 3431. https://doi.org/10.3390/s24113431

Fourati, L. C. (2022). Analysis of LoRaWAN 1.0 and 1.1 protocols security mechanisms. Sensors, 22(10), 3717. https://doi.org/10.3390/s22103717

Fourati, L. C. (2022). A genetic algorithm-based intelligent solution for water pipeline monitoring system in a transient state. Concurrency and Computation: Practice and Experience, 34(21), e5959. https://doi.org/10.1002/cpe.5959

Fourati, L. C. (2022). Cyber-physical systems for structural health monitoring: Sensing technologies and intelligent computing. Journal of Supercomputing, 78, 15126–15153. https://doi.org/10.1007/s11227-021-03875-5

Fourati, L. C. (2022). Investigation on vulnerabilities, threats and attacks prohibiting UAVs charging and depleting UAVs batteries: Assessments and countermeasures. Ad Hoc Networks, 131, 102805. https://doi.org/10.1016/j.adhoc.2022.102805

Fourati, L. C. (2021). 5G network slicing: Fundamental concepts, architectures, algorithmics, projects practices, and open issues. Concurrency and Computation: Practice and Experience, 33(24), e6352. https://doi.org/10.1002/cpe.6352

Fourati, L. C. (2021). A convoy of ground mobile vehicles protection using cooperative UAVs-based system. In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1–6). IEEE. https://doi.org/10.1109/ISNCC52172.2021.9615724

Fourati, L. C. (2021). A survey of 5G network systems: Challenges and machine learning approaches. International Journal of Machine Learning and Cybernetics, 12, 1–27. https://doi.org/10.1007/s13042-020-01178-4

Fourati, L. C. (2021). Blockchain-based trust management approach for IoV. In Lecture Notes in Networks and Systems (Vol. 206, pp. 455–467). Springer. https://doi.org/10.1007/978-3-030-75100-5_42

Jaipal Reddy Padamati | Cybersecurity | Best Researcher Award

Mr. Jaipal Reddy Padamati | Cybersecurity | Best Researcher Award

Sr Software Engineer at Comcast, United States.

Jaipal Reddy Padamati is an accomplished DevSecOps Engineer with over a decade of experience spanning AI, ML, cybersecurity, cloud computing, and DevSecOps automation. Currently serving as a Sr. Cloud / DevSecOps Engineer at COMCAST, he excels in integrating security practices within CI/CD pipelines, deploying AI/ML models for predictive analytics, and architecting hybrid cloud solutions using AWS and Azure. Jaipal’s career highlights include leading cloud migration projects, implementing Docker-based containerization, and designing scalable data pipelines using Kafka, Spark, and Hadoop. His contributions have earned him multiple patents in AI, ML, and cybersecurity, as well as publications in prestigious journals. With a strong research background and expertise in cutting-edge technologies, Jaipal continues to drive innovation in enhancing operational efficiency, security, and reliability across enterprise environments.

Professional Profiles:

Education

Jaipal Reddy Padamati holds a Master’s degree in Computer Science, graduating with a commendable GPA of 3.6 out of 4. His advanced studies have equipped him with a solid foundation in the principles and applications of computer science, paving the way for his successful career in AI, ML, Cybersecurity, Cloud Computing, and DevSecOps. His academic journey has been marked by a dedication to excellence, as evidenced by his rigorous coursework and research endeavors during his graduate studies.

Professional Experience

Jaipal Reddy Padamati is a seasoned DevSecOps Engineer with over 10 years of experience. Currently, he serves as a Sr. Cloud / DevSecOps Engineer at COMCAST in Philadelphia, where he has pioneered the integration of security practices within CI/CD pipelines, developed AI/ML models for predictive analytics, and architected hybrid cloud solutions using AWS and Azure. His efforts have led to significant cost reductions and improved operational efficiency. Previously, he worked as a DevOps Engineer at UBS in Boston, leading cloud migration projects and implementing Docker-based containerization, which significantly enhanced deployment times and application performance. He began his career as a Linux/Unix Administrator at SERCO Solutions in India, managing large-scale environments and automating routine tasks. Jaipal’s innovative contributions have earned him multiple patents in AI, ML, and cybersecurity, along with publications in leading journals, underscoring his expertise and impact in the field.

Awards and Honors 🏆

Jaipal Reddy Padamati has been recognized for his outstanding contributions and achievements in the field of technology and cybersecurity. He has secured multiple patents in AI, ML, and cybersecurity technologies, showcasing his innovative prowess. His research has been extensively published in esteemed journals such as IJIEMR, IJARST, and IJRDST. In addition to his patents and publications, Jaipal actively serves as a reviewer for prominent academic journals, contributing to the academic and professional community. These accolades highlight his dedication to advancing technology and his significant impact on the industry.

Research Interests 📚

Jaipal Reddy Padamati’s research interests lie at the intersection of AI, ML, Cybersecurity, Cloud Computing, and DevSecOps. He is passionate about integrating advanced AI and ML models into enterprise applications to drive operational efficiency and predictive analytics. His work in cybersecurity focuses on implementing multi-layered security protocols, automated threat detection, and response systems to enhance overall security postures. In the realm of cloud computing, Jaipal is dedicated to architecting scalable and cost-effective solutions using platforms like AWS, Azure, and OpenStack. He is also deeply interested in the automation of DevSecOps pipelines, ensuring seamless integration of security practices from inception to deployment. His commitment to innovation and excellence is evident through his extensive contributions to peer-reviewed journals, patents, and conference presentations. Jaipal’s research continues to push the boundaries of technology, aiming to create secure, efficient, and reliable systems.

Research Skills 🛠️

Jaipal Reddy Padamati possesses a diverse range of research skills essential for cutting-edge technological advancements. He is proficient in developing and deploying advanced AI and ML models, leveraging their capabilities for predictive analytics and operational optimization. His expertise in cybersecurity includes implementing robust security measures such as threat detection systems and automated response mechanisms. Jaipal excels in cloud computing, adeptly designing scalable architectures on platforms like AWS, Azure, and OpenStack, and utilizing Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. He is skilled in containerization technologies like Docker and Kubernetes, enhancing application deployment efficiency. Additionally, Jaipal has a strong command of configuration management tools such as Ansible, Chef, and Puppet, and is experienced in building continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, GitLab, and Maven. His proficiency in these areas underscores his ability to innovate and deliver robust solutions across diverse technological landscapes.

Publications

  1. Beyond the Breach: Building Trust through Integrated Security and Customer Relationship Management
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2024
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  2. System and Method for Real-time Detection of Cyber Security Threats Using a Machine Learning Model
    • Authors: JR Padamati, MMR B, VR A, AG Desetty, SR Pulyala, VD Jangampet
    • Year: 2024
    • Patent: IN Patent 02/2,024
    • Citations: Not specified in the provided text
  3. Unlocking SIEM Potential: Secure, Scalable Cloud Architecture with Artificial Intelligence Machine Learning
    • Authors: LSCN Jaipal Reddy Padamati, Karthik Kumar Sayyaparaju
    • Year: 2023
    • Journal: International Journal For Recent Development In Science And Technology
    • Citations: Not specified in the provided text
  4. Achieving PCI Compliance with CRM Systems
    • Authors: LSC Nunnagupala, SR Mallreddy, JR Padamati
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
    • Citations: Not specified in the provided text
  5. Ensuring Data Privacy with CRM AI: Investigating Customer Data Handling and Privacy Regulations
    • Authors: JR Padamati, KK Sayyaparaju, LSC Nunnaguppala
    • Year: 2022
    • Journal: Res Militaris
    • Citations: Not specified in the provided text
  6. Anomaly Detection for Data Security in SIEM: Identifying Malicious Activity in Security Logs and User Sessions
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2021
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  7. Building Secure AI/ML Pipelines: Cloud Data Engineering for Compliance and Vulnerability Management
    • Authors: JRP Karthik Kumar Sayyaparaju, Laxmi Sarat Chandra Nunnaguppala, JR Padamati
    • Year: 2021
    • Journal: Not specified in the provided text
    • Citations: Not specified in the provided text
  8. Data Security: Safeguarding the Digital Lifeline in an Era of Growing Threats
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2021
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  9. Securing the Cloud: Automating Threat Detection with SIEM, Artificial Intelligence & Machine Learning
    • Authors: LSCN Jaipal Reddy Padamati, Karthik Kumar Sayyaparaju
    • Year: 2021
    • Journal: International Journal for Advanced Research in Science and Technology
    • Citations: Not specified in the provided text