Ciprian-Octavian Truică, PhD

Ciprian-Octavian Truică is currently an Assistant Professor at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest (formerly named University Politehnica of Bucharest, name changed in 2023). He teaches and does research in the fields of Deep Learning, Machine Learning, Big Data Analytics, Data Mining, Graph Mining, Text Mining, and Data Management, and has been a principal investigator and researcher on multiple academic and research projects.

He has applied his knowledge and skill in developing virtual AI-based conversation agents for Soft Tehnica, integrating Big Data Technologies for ReMoni Denmark, and developing time series analysis deep learning architectures for ACOWA Instruments, among other projects. He also teaches courses and seminars on Data Management and Data Mining, focusing on the latest Relational Database systems (e.g., Oracle, MS SQL, PostgreSQL), NoSQL technologies (e.g., MongoDB, Cassandra, Redis), Big Data Technologies (Hadoop, HDFS, Spark, Tez), and Data Mining supervised and unsupervised algorithms.

He has also prepared workshops covering data processing languages (e.g., SQL, PL/SQL, T-SQL, PL/pgSQL), Data Science Python libraries (e.g., Scikit-learn, Pandas, Numpy, NetworkX, Spark MLlib), and Deep Learning Python libraries (e.g., TensorFlow, Keras) — all technologies he has used across the industrial and academic projects he has been involved with.