Aaron Mangrobang | Information Technology | Best Researcher Award

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Mr. Aaron Mangrobang | Information Technology | Best Researcher Award

Aaron Mangrobang at Pangasinan State University, Philippines.

Mr. Aaron N. Mangrobang is an adaptable ICT educator and practitioner with dual degrees in Information Technology and Hotel & Restaurant Management, and a master’s degree in Information Technology from Saint Louis University. His career blends academic instruction with practical DevOps, software development, and automation skills. Known for his strong communication, critical thinking, and collaborative approach, Aaron effectively bridges academic theory with real-world technology applications. He is passionate about nurturing the next generation of IT professionals while continuously enhancing ICT operations and systems security across institutions.

Professional Profile

Orcid

🎓 Education 

  • Master in Information Technology, Saint Louis University, 2021–2023

  • Bachelor of Science in Information Technology, ABE International Business College of Accountancy, 2017–2019

  • Bachelor of Science in Hotel & Restaurant Management, ABE International Business College of Accountancy, 2008–2012

💼 Experience 

Mr. Aaron N. Mangrobang is an experienced and detail-oriented ICT professional with a strong academic foundation and versatile industry exposure. Currently serving as a BSIT College Instructor and ICT Management Coordinator at Pangasinan State University (2024), he oversees campus ICT infrastructure, facilitates system security, and ensures efficient digital operations across academic and administrative units. He also contributes to curriculum development and student mentorship.

Previously, he worked as a BSIT Instructor at the University of Eastern Pangasinan (2023–2024), where he taught networking, cybersecurity, web development, and programming courses, while also updating course materials to align with modern technologies.

Earlier in his career, Aaron gained practical industry experience as a Full Stack Associate Software Engineer at BlastAsia Inc. (2020), focusing on end-to-end software development, and as an Intern Web Developer at MediSource Inc. (2018–2019), where he resolved client issues and enhanced web functionality based on customer needs.

🔬 Research Interests

  • Web and Mobile Application Development (Android, PHP, JavaScript)

  • DevOps and CI/CD Pipelines (GitHub, GitLab)

  • Network Security and System Automation

  • Backend Development (Firebase, MySQL, Google Cloud)

  • RESTful API Integration

  • Cybersecurity and Shared Hosting Management

  • Educational Technologies in ICT

Conclusion:

Mr. Aaron N. Mangrobang is a highly suitable candidate for the Best Researcher Award in Information Technology, particularly in a practice-driven or applied research category. His blend of academic instruction, real-world ICT implementation, and forward-looking technical interests demonstrate a commitment to impactful technological advancement.

While he would benefit from increased scholarly output and research partnerships, his current portfolio presents a compelling case for recognition as a rising contributor to the evolving ICT research and education landscape in the Philippines.

Kianeh Kandi | Machine Learning | Academic Excellence Award

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Mrs Kianeh Kandi |  Machine Learning |  Academic Excellence Award

Academic Researcher at politechnic of dimadrid,  Spain

Mrs. Kianeh Kandi is an accomplished software developer and researcher with a robust foundation in computer science and a passion for innovative solutions. Currently pursuing her PhD in Software Systems and Computing at the Polytechnic University of Madrid, she has demonstrated expertise in machine learning, data mining, statistical methods, and high-impact research.

Profile:

📚 Education:

  • PhD Candidate in Software Systems and Computing, Polytechnic University of Madrid (2022 – Present)
  • Bachelor and Master of Industrial Management, Azad University of Arak (2004 – 2011)
  • Bachelor of IT (Networking), Arak University (2017 – 2019)

🎯 Research & Professional Experience:

  • Researcher, Polytechnic University of Madrid (2022 – Present):
    Conducting innovative research on credit card risk assessment using machine learning and developing neural network models to predict and mitigate financial risks.
  • Specialist, Dana Insurance Company (2018 – 2022):
    Managed market risk assessments and drove sales operations to enhance revenue growth.
  • Digital Marketing Expert, Aryanik Software Company (2016 – 2017):
    Improved user experience through website design and executed digital marketing strategies.
  • Project Planner, Sala Dairy Company (2010 – 2011):
    Boosted production efficiency and optimized processes using mathematical methods.

🧠 Research Contributions:

  • Thesis: Optimal Scheduling in a Milk Production Line Based on Mixed Integer Linear Programming
  • Publications:
    • Enhancing Performance of Credit Card Models Using LSTM Networks and XGBoost Algorithms
    • Evaluating Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction

💡 Key Skills:

  • Programming Languages: Python, Java, C++
  • Machine Learning Tools: TensorFlow, PyTorch
  • Technologies: Docker, large-scale data processing, Power BI, IBM SPSS
  • Research Expertise: Neural networks, statistical data analysis, synthetic data generation

Publication Top Notes:

  • “Optimal Scheduling in a Milk Production Line Based on Mixed Integer Linear Programming”

  • “Enhancing Performance of Credit Card Models by Utilizing LSTM Networks and XGBoost Algorithms”

  • “Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector”