Aristeidis Tsitiridis

Designing and delivering research-driven AI systems for multi-modal edge intelligence.

- Architecting scalable AI solutions for identity and verification systems, with emphasis on robustness, liveness, and real-world deployment constraints
- Leading applied research initiatives, bridging experimental models with production-ready implementations
end-to-end ML systems, from data acquisition and pre

- Organising Work Package (WP) related tasks, research tasks and deliverables in H2020 EU Data Science/Machine Learning research projects.
- Leading original research conceptualisation stages in data analysis, statistics, multimodal systems and agentic AI meta-learning techniques. From novel algorithm design, and authoring or editing related scientific publications to relevant related research doc

- Computer vision research in challenging real-world problems for various industry sectors (e.g. healthcare, security, warehousing & logistics), applying object detection & recognition, person-object interaction, action recognition and behavioural analysis, depth estimation and 3D object reconstruction in multi-viewpoint video surveillance scenarios.
- Video surveillance system design for new loca

- Research across challenging computer vision problems, such as image decomposition/segmentation, visual attention, self-supervision, feature extraction, novel model creation or existing model enhancement and optimisation, fine-grained image classification, and data generation/synthesis.
- Deep learning research and experimentation using domain adaptation and transfer learning techniques, either s

Conducted computer vision and machine learning research for real-time automated document-face verification and document/biometric authentication from commercial camera videos. Built face/document verification and recognition models and developed biometric anti-spoofing and image/video forensic algorithms.

- Computer vision and machine learning research for real-time automated document-face verification and document/biometric authentication from commercial camera videos (webcams, smartphones etc).
- Novel model creation for face and document verification, recognition and authenticity.
- Advanced and reliable biometric anti-spoofing measures and image/video forensic algorithms.

Contract research in the topic: "Bio-inspired face recognition from multiple viewpoints".

- This research contract involved the use of deep learning techniques (PyTorch) with neural networks (biologically plausible time domain artificial neurons). Advancements in this project were ultimately used for face detection with address-event driven (retina-like) cameras.

- European research and development framework programme phase 1&2 proposal and feasibility study (5 year technical, business, financial, commercial, marketing forecasts and reports) authorship for small and medium enterprises.
- Researching, preparing and organising critical information for client companies engaged in areas such as optics, video, machine learning, computer vision, virtual and augm

- Contract computer vision research and development in biologically-inspired descriptors for internet images.
- Explored problems in visual saliency, visual search, similarity processing for vast product databases.

- Bio-inspired computer vision and machine learning contract research conducted for the Facial Recognition Artificial Vision group at URJC.
- Face verification/recognition and object perception tasks, involving the use of standard CMOS, infra-red, multispectral and Dynamic Vision Sensors (retina-like sensors). These sensors were used with novel biologically-inspired, deep learning algorithms and n

- Retail market analytics utilising massive databases
- Model design for robust data handling, using primarily statistical techniques and evaluating their performance for fine-tuning.
- Data processing optimisation and experimentation design for further improvement.
- Project management skills development in order to manage multiple projects simultaneously and meet objectives/key deadlines.

- Contract research in biologically-inspired machine learning/computer vision algorithms and compressed sensing using Fourier techniques
- Research reports, papers and technical document authorship.
- Pro-actively contributed and conducted research including collection, preparation and analysis of image data, novel algorithm experimentation and presentation of research results.
- Maintained and en

- Designed purchasing strategies for Electronic Materials in accordance to hardware specifications, cost-saving margins and product quality standards.
- Communicated with suppliers to resolve issues or to retrieve information regarding new products at better prices.
- Maintained an up-to-date database e.g. purchase orders, price history and product information.
- Participated in individual and tea

Thesis title: "Biologically-inspired machine vision"

Research on the improved design, integration and expansion of computer vision models, following biologically-inspired methodologies. By adopting early theories and algorithms as a building block, particular interest was shown on algorithmic parameterisation, feature extraction, invariance properties and classification. The resulting biologicall

Principal Subjects:

Electronic systems design, electronic systems testing, digital communications, satellite communications, wireless communications and applications

Skill oriented courses:
Project management

MSc Thesis:
Analysis of rain attenuation/scatter for Broadband Fixed Wireless Access (BFWA)

Principal subjects:

Electrical and electronic circuits, analogue and digital electronics, electronic materials, optoelectronics, optical fiber technology, communications IT, control systems design, optical communication systems, RF engineering, electromagnetism, power systems design, software engineering, wireless communications

Skill oriented courses:
Industrial management, Career develop