Dollas Apostolos

Professor Dollas Apostolos serves as a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete (TUC), where he has held leadership roles such as Department Chairman. He directs the Microprocessor and Hardware Laboratory, focusing on reconfigurable computing, embedded systems, and high-performance digital systems. His work emphasizes rapid prototyping and real-world implementation of computational solutions.

Education:

• Ph.D., Computer Science, University of Illinois at Urbana-Champaign (1987)
• M.Sc., Computer Science, University of Illinois at Urbana-Champaign (1984)
• B.Sc., Computer Science, University of Illinois at Urbana-Champaign (1982)

Research Interests:

• Reconfigurable computing architectures
• FPGA-based acceleration for bioinformatics and genomics
• Embedded systems and real-time processing
• Hardware-software co-design for high-performance computing

His research bridges theoretical innovation with practical applications, such as FPGA implementations for genome assembly and aquaculture monitoring systems.

Publications: Recent work highlights FPGA-based solutions for bioinformatics (e.g., genome assembly acceleration), real-time embedded systems (e.g., fish cage net monitoring), and scalable data processing frameworks. His articles often explore the intersection of FPGA technology with computational biology, embedded vision, and distributed systems.

Awards and Affiliations:

• Senior Member, IEEE and IEEE Computer Society
• Recipient of IEEE Computer Society Golden Core and Meritorious Service Awards
• Twice honored with the University of Illinois Teaching Excellence Award

He is a co-founder of IEEE conferences like FCCM and RSP, reflecting his leadership in the reconfigurable computing community.

Teaching and Labs: Teaches courses on computer architecture, logic design, and VLSI design. The Microprocessor and Hardware Lab under his direction drives advancements in FPGA-based systems, with projects ranging from bioinformatics hardware accelerators to embedded vision systems.