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accelerators

Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.

advanced-topics-in-algorithms

NP-indermediate problems: onerview and analysis

artificial-intelligence

Solution finding algorithms in state space, heuristic searching methods, A* algorithm implementation, expert system design and implementation

awesome-llm-reasoning

Papers and resources on Reasoning in Language Models (LLMs), including Chain-of-Thought, Instruction-Tuning, Multimodality.

c

C code for Programming Languages course

classification-in-the-wild

Classification of web-crawled images belonging to ImageNet classes

computer-vision

dynamic-programming-problems

Solutions of high-complexity problems using dynamic programming techniques

explaining-language-models

ganspace

Extension of GANspace: https://github.com/harskish/ganspace

image-and-video-processing-and-analysis

fft/ifft transformations, DCT encoding/decoding using various techniques (zig-zag scanning, quantization), SNR calculations, filters (Gaussian, median, bilateral), edge detection, motion assessment, moving objects detection, JPEG model study

keras-vis

Neural network visualization toolkit for keras

knowledge-enhanced-multimodal-learning

A list of research papers on knowledge-enhanced multimodal learning

machine-learning---upwork

A sample of my projects on Upwork

microprocessors

8085,8086,AVR

operating-systems

Unix system, Executable files creation, file linking, file concatenation, Process Creation, Management and Intercommunication, Signal generation, POSIX threads, synchronization (POSIX Mutexes, Spinlocks, Semaphores, Condition Variables, GCC atomic operations), Linux shell scripting, Scheduling

the-atlas-experiment-at-cern.-diploma-thesis-ntua-

ATLAS is one of two general-purpose detectors at the Large Hadron Collider (LHC) at CERN. It investigates a wide range of physics, from the search for the Higgs boson to extra dimensions and particles that could make up dark matter. The ATLAS detector consists of a series of ever-larger concentric cylinders around the interaction point where the proton beams from the LHC collide. It can be divided into four major sections: Τhe Inner Detector, the innermost component, tracks the motion of charged particles as they move away from the interaction point. The tracks measured by recording particle/detector interactions at a multitude of discrete points, form the first step in identifying the unknown particles. The calorimeters measure the energy of both neutral and charged particles by interacting with them, resulting in creating cascades of secondary particles. The Muon Spectrometer, the outermost component of the detector, makes additional measurements of highly penetrating muons, which are capable of passing through the inner layers without interaction. Finally, the magnet systems bend charged particles in the Inner Detector and the Muon Spectrometer; their direction of motion and degree of curvature become indicative of their charge and momentum, respectively. The detector generates unmanageably large amounts of raw data: about 25 megabytes per event, multiplied by 40 million beam crossings per second in the center of the detector, producing a total of 1 petabyte of raw data per second. Thus, a trigger system is needed in order to select potentially interesting events for storage in real-time, so as to avoid being overwhelmed by background processes. The ATLAS trigger system uses simple information to identify the most interesting events to retain for detailed analysis. The data acquisition system receives and buffers the event data from the detector-specific readout electronics. Grid computing is being extensively used for event reconstruction, allowing the parallel use of computer networks throughout the world. A major problem at the ATLAS detector is the huge radiation background, coming from the collisions at the interaction point. This background causes several problems such as radiation damage to silicon detectors and readout electronics, ageing of the subdetectors, radiation deposits that disrupt electronic signals or destroy components, and background signals resulting in spurious and random triggers. For the limitation of these consequences, ATLAS uses almost 3000 tonnes of shielding in a multilayer design, taking advantage of the absorbing capacities of different materials.

tyres-app

Internal project, developed in AKKA Research, AKKA Benelux department. It involves a mobile application, which helps the automation of the tire serial number registration and recognition. This code is splitted in different parts: Image processing for better initial images, artificial data creation to increase the dataset which feeds the neural network and post-processing to validate the output of the neural network.

visual-genome-embeddings

Visual Genome word embeddings on region descriptions