Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

   Education 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelor’s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Master’s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vințan. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

  Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

   Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

Publication Top Notes

• Feature selection methods for an improved SVM classifier

  • Cited by: 31

• Meta-Classification using SVM Classifiers for Text Documents

  • Cited by: 27

• The WEKA Multilayer Perceptron Classifier

  • Cited by: 22

• Text Mining Methods Based on Support Vector Machine

  • Cited by: 22

• Evolutionary Feature Selection for Text Documents Using the SVM

  • Cited by: 22