Ahmad Taghinezhad-Niar

Dr. Ahmad Taghinezhad-Niar is an Assistant Professor in the Computer Engineering department at the University of Tabriz, Iran. His research interests encompass Distributed Systems, Scheduling Algorithms, Cloud Computing, and Formal Methods. The research group is actively seeking talented students to join in addressing intricate challenges in these domains. Additionally, the laboratory engages in industrial projects focusing on distributed and AI-based software development. Opportunities for international collaborations are enthusiastically welcomed to enrich research endeavors and foster global partnerships. Participation in these academic and applied research pursuits, whether domestic or international, would be highly valued and mutually beneficial.

Research Interests:

  • Scheduling Algorithms: This area involves the comprehensive review and optimization of algorithms designed to efficiently manage temporal resources within various systems, with the objective of enhancing performance and productivity.

  • Distributed Systems: This field focuses on studying and researching systems that distribute tasks and information across multiple devices or computers to improve data sharing and task distribution efficiency and reliability.

  • Cloud and Fog Computing: This research explores concepts related to cloud computing, including various types of cloud services, and investigates issues related to security and scalability within these computing paradigms.

  • Optimization Algorithms and Quality of Services: This area focuses on the development and application of algorithms to optimize various parameters within computing systems, ensuring energy efficiency, reliability, and security.

  • Formal Methods and Modeling of Computer Systems: This area applies mathematical and modeling methods to analyze and improve computer systems, aiming to enhance performance and reliability through rigorous mathematical analysis and modeling.

Talented students are encouraged to join the research group, which tackles complex challenges in the aforementioned areas. Collaboration with students and colleagues on industrial projects is also welcomed, with a primary focus on developing software systems, search engines, and AI-driven software.