Hello! I'm Ciprian Cornea, an assistant professor at
Faculty of Mathematics and Computer Science
. With a passion for programming, I am dedicated to contributing to
the development of my students' knowledge and skills.
For questions, clarifications, or discussions related to courses,
projects, or any other aspects of the subject matter, I am available
during the following hours:
Campus 440
Monday and Wednesday, 1pm-2pm
Prior to my university studies, I earned my High School Diploma from "Nicolae Bolcas" Vocational Pedagogical High School between 2015 and 2019. Here, I developed a strong foundation in mathematics and sciences, laying the groundwork for my future academic pursuits in computer science.
I completed my Bachelor's Degree in Mathematics at Babeș-Bolyai University from 2019 to 2022. The program covered a wide range of subjects, including algorithms, data structures, software engineering, and artificial intelligence.
I pursued my Master's Degree in Database Management at Babeș-Bolyai University from 2022 to 2024. This program provided an in-depth exploration of database systems, data modeling, and advanced database technologies.
During my internship at ABC Software Solutions, I gained valuable hands-on experience in web development. I actively contributed to various projects, honing my skills in HTML, CSS, and JavaScript.
Transitioning from an internship to a Junior Web Developer role at XYZ Digital Innovations, I took on more responsibilities in coding and debugging. I collaborated closely with senior developers to enhance my technical proficiency and understanding of the software development lifecycle.
As a Middle Web Developer at Dynamic Solutions Ltd., I've played a key role in the development of critical projects. This position involves a higher level of autonomy and responsibility, including leading specific components of projects, mentoring junior team members, and contributing to architectural decisions.
This research delved into the application of machine learning algorithms in financial forecasting. The study involved an extensive analysis of various algorithms, including their accuracy, robustness, and computational efficiency. The findings highlighted specific algorithms that demonstrated superior performance in predicting financial trends, providing valuable insights for enhancing decision-making processes in the financial industry.
Focused on the field of human-computer interaction (HCI), this research project aimed to understand user experiences in virtual reality (VR) environments. Employing qualitative and quantitative methodologies, the study examined user behavior, preferences, and challenges in VR settings. The outcomes contributed to the design principles for creating more immersive and user-friendly VR applications.
This research initiative explored sustainable agricultural practices in emerging economies, emphasizing environmental impact and resource efficiency. The study involved on-site assessments, interviews with local farmers, and data analysis. The research outcomes provided practical recommendations for policymakers and agricultural stakeholders to promote sustainable practices, addressing the unique challenges faced by farmers in developing regions.