Nikolaos Alachiotis

Nikolaos Alachiotis is an Associate Professor at the Digital Society Institute, specializing in Artificial Intelligence, Field-Programmable Gate Arrays (FPGA), and Genomics. His work bridges Hardware Acceleration with Bioinformatics, focusing on scalable solutions for genomic analysis and evolutionary biology.

• Research Themes: AI Hardware, FPGA Optimization, Population Genetics
• Key Collaborations: Delft University of Technology, Zenodo, Frontiers in High-Performance Computing

Research Focus

Alachiotis develops deep learning and FPGA-based tools for selective sweep detection and phylogenetic inference, enabling faster genomic analyses. His work spans convolutional neural networks, spiking networks, and adaptive computing for bioinformatics and radio astronomy.

Recent articles highlight trends in AMD Versal SoC applications, deep learning for natural selection, and scalable genomic pipelines.

Scientific Awards

• Outstanding Student Paper Award (2023)

Supervised Work

His supervised projects include Accelerating Selective Sweep Detection and Effective Data Preprocessing Techniques, often in collaboration with institutions like Zenodo and Frontiers journals.