Dinar Ajeng Kristiyanti | Data Mining | Best Researcher Award

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Dr. Dinar Ajeng Kristiyanti | Data Mining | Best Researcher Award

Dr. Dinar Ajeng Kristiyanti, Universitas Multimedia Nusantara, Indonesia

Dr. Dinar Ajeng Kristiyanti is a passionate Lecturer and Assistant Professor with over a decade of experience in computer science. She holds a Bachelor’s and Master’s in Computer Science from Sekolah Tinggi Manajemen dan Informatika Nusa Mandiri and is pursuing her PhD at Institut Pertanian Bogor 🎓. Her research focuses on Sentiment Analysis, Machine Learning, and Data Mining 💻. Dr. Kristiyanti has published 20 national and 8 international papers 📑, earning recognition as a top 10 author in the SINTA Index (2020-2022). She is also a recipient of several awards for her academic excellence 🏅.

Publication profile

Google Scholar

Educational Background 🎓

Dr. Dinar Ajeng Kristiyanti has a strong academic foundation in computer science. She earned her Bachelor of Information Systems from Sekolah Tinggi Manajemen dan Informatika Nusa Mandiri (2011-2012) with a GPA of 3.76 📘. She continued her studies at the same institution, completing her Master’s in Computer Science (2012-2014) with an impressive GPA of 3.88 🏅. Currently, Dr. Kristiyanti is pursuing her Doctorate in Computer Science at Institut Pertanian Bogor (2020-present), further advancing her expertise in the field of data science and machine learning 💻.

 

Work Experience 🏫

Dr. Dinar Ajeng Kristiyanti has extensive teaching experience across several prestigious institutions. Since 2010, she has been a Lecturer at Universitas Bina Sarana Informatika, where she contributes to the fields of computer science and informatics. From 2015 to 2021, she also served as a Lecturer at Universitas Nusa Mandiri, imparting her knowledge to future professionals. In 2014, Dr. Kristiyanti was a Guest Lecturer at Universitas Budi Luhur, further expanding her academic reach. Her diverse teaching roles reflect her dedication to educating and mentoring students across various institutions 📚👩‍🏫.

 

Award History and Personal Achievements 🏆

Dr. Dinar Ajeng Kristiyanti has been recognized for her academic excellence and contributions to research. She ranked in the Top Ten Authors in the SINTA Science and Technology Index (2020-2022) for her performance at Universitas Bina Sarana Informatika and Universitas Nusa Mandiri 📊. She has also won awards for Best Paper and Presenter at various national and international seminars 🌍. Additionally, Dr. Kristiyanti was honored as the Best Graduate of her Master’s in Computer Science program at STMIK Nusa Mandiri 🎓. Her achievements reflect her dedication and impact in the field of computer science.

 

Publication Top Notes

  • Comparison of SVM & Naïve Bayes algorithm for sentiment analysis (2018) 📊 – Cited by 80
  • Sentiment analysis of smartphone product reviews using SVM-based PSO (2016) 📱 – Cited by 55
  • Prediction of Indonesia presidential election results using Twitter sentiment analysis (2019) 🇮🇩 – Cited by 50
  • Feature selection for cosmetic product review using GA, PSO, and PCA (2017) 💄 – Cited by 45
  • Comparison of Naïve Bayes and SVM using PSO for e-wallet review (2020) 💳 – Cited by 39
  • Sentiment analysis for Halodoc app using Naïve Bayes, SVM, and KNN (2021) 🩺 – Cited by 34
  • Sentiment analysis of cosmetic reviews using SVM and PSO (2015) 💅 – Cited by 32
  • Machine Learning for Beginners (2022) 📖 – Cited by 29
  • E-wallet sentiment analysis using Naïve Bayes and SVM (2020) 💼 – Cited by 25
  • Sentiment analysis of cosmetic product review using feature selection comparison (2015) 👗 – Cited by 25
  • Decision support system for employee bonus using AHP at Buah Hati Ciputat Hospital (2018) 🏥 – Cited by 24
  • Decision support system for employee selection with profile matching analysis (2017) 🧑‍💼 – Cited by 20
  • Web-based thesis monitoring system for Mercu Buana University (2020) 💻 – Cited by 16
  • Application of seasonal multiplicative decomposition for inventory forecasting at PT. Agrinusa (2020) 📦 – Cited by 13
  • Sentiment analysis of public acceptance of COVID-19 vaccines in Indonesia (2023) 💉 – Cited by 11
  • Feature selection using v-shaped transfer function for salp swarm algorithm in sentiment analysis (2023) 🐟 – Cited by 11

Conclusion ✅

Dr. Dinar Ajeng Kristiyanti’s strong academic credentials, prolific research output, and numerous recognitions make her highly suitable for the Best Researcher Award. Her expertise in computer science, coupled with her dedication to innovation and teaching, align well with the award’s criteria, making her a strong candidate for this prestigious recognition.

 

 

 

Noor .A. Rashed | Computer Science Award | Women Researcher Award

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Dr . Noor .A. Rashed | Computer Science Award | Women Researcher Award

Dr. Noor Rashid, Iraq

Dr. Noor Rashid is a Ph.D. candidate at the University of Technology, Baghdad, specializing in Computer Science. She earned her master’s degree from the University of al-Anbar in 2018. Her research covers areas such as Artificial Intelligence, secure data systems, machine learning, data mining, image processing, and project management automation. Her current focus is on optimization algorithms, particularly multi-objective optimization (2022-2023). Dr. Rashid has contributed significantly to the field, including her recent publication on evolutionary and swarm-based algorithms. She continues to advance AI and optimization research in her academic journey.

 

Publication profile

Google Scholar

Orcid

Employment

Dr. Noor Rashid is currently employed at the University of Technology, Baghdad, Iraq, in the Department of Computer Science. As a dedicated researcher and educator, she contributes to the university’s mission by advancing studies in Artificial Intelligence, secure data systems, and optimization algorithms. Her role involves teaching and mentoring students while conducting innovative research in multi-objective optimization and machine learning. Dr. Rashid’s work continues to impact both the academic community and the broader technological landscape through her involvement in cutting-edge computer science projects.

 

Education and Qualifications 🎓📜

Dr. Noor Rashid is currently pursuing her Ph.D. in Computer Science at the University of Technology, Baghdad, Iraq, from November 2021 to November 2024. Her doctoral research focuses on advanced areas such as optimization algorithms and Artificial Intelligence, contributing to cutting-edge technological advancements. Prior to this, Dr. Rashid earned her master’s degree from the College of Computer Science and Information Technology at the University of al-Anbar in 2018. Her academic background equips her with a strong foundation in secure data, machine learning, and project management systems, preparing her for continued success in the field.

 

Research Focus 🎯🔬

Dr. Noor Rashid’s research primarily focuses on Artificial Intelligence (AI), particularly in machine learning, optimization algorithms, and data mining. Her studies delve into complex areas such as multi-objective optimization and evolutionary algorithms, aiming to solve real-world computational problems. Additionally, Dr. Rashid has worked extensively on medical image processing, applying AI techniques like ANN and SVM to detect and classify diseases like diabetic retinopathy. Her research bridges the gap between AI and healthcare, making significant contributions to secure data, networks, and advanced algorithmic developments. 🚀🧠

 

Publication Top Notes

  • Diagnosis retinopathy disease using GLCM and ANN – N. Rashed, S. Ali, A. Dawood – J. Theor. Appl. Inf. Technol 96, 6028-6040, 2018 (Cited by: 4) 📖
  • Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems – N.A. Rashed, Y.H. Ali, T.A. Rashid, A. Salih – arXiv preprint, 2024 (Cited by: 2) 🌐
  • Advancements in Optimization: Critical Analysis of Evolutionary, Swarm, and Behavior-Based Algorithms –  Rashed, Y.H. Ali, T.A. Rashid – Algorithms 17(9), 416, 2024 📑
  • ANN and SVM to recognize Texture features for spontaneous Detection and Rating of Diabetic Retinopathy –  Rashed (Upcoming) 🔍