Daniel Voipan is an Assistant Lecturer and PhD student at the Department of Computers and Information Technology, "Dunărea de Jos" University of Galați, Romania. His doctoral research is being conducted in the Doctoral School of Fundamental and Engineering Sciences, where his thesis follows studies in Systems Engineering. His primary research interests focus on the application of artificial intelligence (AI) and machine learning in wastewater treatment, aiming to optimize effluent quality and process control. As a researcher, he has worked on projects that integrate AI techniques such as artificial neural networks (ANNs) and long short-term memory (LSTM) networks to enhance the efficiency and accuracy of effluent quality predictions and process control in wastewater treatment plants. His contributions to this field have been recognized through publications and presentations at international conferences, including the IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) and the International Conference on System Theory, Control, and Computing (ICSTCC). Beyond his research, Daniel Voipan is dedicated to academic teaching, guiding students in programming, operating systems, and computational methods. His work bridges the gap between computer science and environmental sustainability, aiming to develop intelligent systems for improved water resource management.