Anjan Kumar Reddy Ayyadapu | Computer Science | Research Excellence Award

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Mr. Anjan Kumar Reddy Ayyadapu | Computer Science | Research Excellence Award

Bigdata Solution Architect / IT Cloudera | The University of Cloudera | United States

MR. Anjan Kumar Reddy Ayyadapu is a researcher focused on artificial intelligence, machine learning, and cloud security, particularly in the application of AI-driven big data analytics to strengthen cybersecurity frameworks. His research addresses critical areas such as privacy-preserving techniques, secure cloud infrastructures, and intelligent incident response systems within multi-cloud environments. By integrating machine learning models with advanced cryptographic methods, his work aims to develop scalable and efficient solutions for safeguarding sensitive data in distributed systems. He has authored 5 scholarly publications, accumulating 73 citations and an h-index of 3, demonstrating measurable research impact. His contributions continue to support the advancement of secure, intelligent, and resilient cloud computing technologies in modern digital ecosystems.

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Featured Publications

 

 

Mariam Ben Hassen | Computer Science | Editorial Board Member

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Assist. Prof. Dr. Mariam Ben Hassen | Computer Science | Editorial Board Member

Assist. Prof. Dr. Mariam Ben Hassen | University of Sfax | Tunisia

Dr. Mariam Ben Hassen is a computer science scholar recognized for her contributions to knowledge management, business process modeling, ontology engineering, and decision support. Her work bridges theoretical innovation with practical frameworks for designing and specifying complex enterprise information systems, emphasizing multi-dimensional modeling, intelligent systems, and extending BPMN through ontological structures. Her research develops conceptual and ontological frameworks to model sensitive business processes, enhance enterprise information systems, and support knowledge-driven decision-making. She has extensive experience in academic teaching, research supervision, and project leadership, producing impactful publications in high-ranking journals and international conferences. Her scholarship integrates knowledge representation with organizational processes, advancing modern perspectives in information systems engineering and providing valuable tools for intelligent, data-informed enterprise management.

Profile : Google Scholar 

Featured Publications 

Conceptual Analysis of Sensitive Business Processes. (2023). Business Process Management Journal. Cited by: N/A.

 

Karla Filian | Engineering | Best Researcher Award

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Mrs Karla Filian |  Engineering |  Best Researcher Award

Graduate student in the Master’s program in Earth Sciences,  at Faculty of Engineering in Earth Sciences, ESPOL Polytechnic University,  Ecuador

Karla Filian Haz is a graduate student pursuing a Master’s in Earth Sciences at ESPOL Polytechnic University. With a background in Mining Engineering, she works as a Project Analyst, contributing to research and academic initiatives in Earth Sciences. Her research focuses on environmental pollution mitigation, water treatment technologies, and sustainable engineering solutions. She has co-authored two indexed journal articles and two conference papers, collaborating with international institutions such as Ghent University and the Mexican Geological Survey. Her work aims to develop innovative solutions for environmental management in mining and water treatment.

Profile:

Academic & Professional Background:

Mining Engineer pursuing a Master’s in Earth Sciences at ESPOL. Currently a Project Analyst, contributing to research, academic initiatives, and program coordination in Earth Sciences. Expertise in event organization, documentation management, and compliance.

Research & Innovations:

  • Research Projects: 4
  • Publications: 2 indexed journal articles, 2 conference papers
  • Citations: h-index: 1, Citations: 2
  • Collaborations: Ghent University (Belgium), Catholic University of Santiago de Guayaquil, Universidad del Pacífico (Ecuador), Mexican Geological Survey (SGM)

Research Areas:

Environmental engineering, pollution mitigation in mining, water treatment technologies, sustainable engineering solutions.

Key Contributions:

Research on environmental pollution, tailing dam risks, and desalination optimization using advanced membranes. Findings contribute to sustainable solutions for water treatment and environmental management in the mining industry.

Publication Top  Notes:

Title: Assessment of Environmental Pollution and Risks Associated with Tailing Dams in a Historical Gold Mining Area of Ecuador
Authors: B. Salgado-Almeida, A. Briones-Escalante, D. Falquez-Torres, E. Peña-Carpio, S. Jiménez-Oyola
Journal: Resources (2024)
Citations: 1