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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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NargesBabalar (Narges Babalar) · GitHub
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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' NargesBabalar (Narges Babalar) · GitHub
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  • Iran, Tehran

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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' NargesBabalar (Narges Babalar) · GitHub
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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' NargesBabalar (Narges Babalar) · GitHub
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  • Iran, Tehran

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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' NargesBabalar (Narges Babalar) · GitHub
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  • Iran, Tehran

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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' NargesBabalar (Narges Babalar) · GitHub
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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); NargesBabalar (Narges Babalar) · GitHub
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NargesBabalar/README.md

Hi, I'm Narges

I'm a Computer Engineering undergraduate at the University of Tehran. My interests include software engineering, distributed systems, AI and machine learning, computer vision, data-oriented systems, and cloud technologies. I enjoy building practical systems and exploring engineering concepts through implementation and experimentation.

Featured Projects

  • Replicated Key-Value Store — A replicated Go key-value store for experimenting with eventual and strong consistency under configurable network delays. GoReplicationConsistency
  • Containerized Article Platform — A full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose. JavaReactMySQLDocker
  • LSTM Mobility Prediction — An attention-based BiLSTM model for next-cell prediction from Porto taxi trajectories, framed around proactive handover support in 5G/6G networks. TensorFlowLSTMTrajectory Data
  • CNN Scene Classification — Six-class natural-scene classification with baseline and regularized convolutional neural network experiments. TensorFlowKerasComputer Vision
  • Distributed Multi-VM Services — A Go-based multi-service system covering authentication, file serving, memory monitoring, and a web interface. GoDistributed SystemsWeb Services
  • OpenMP & SIMD Benchmarks — Image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations. C++OpenMPSIMD

Technical Skills

  • Languages: Python, Go, C++, Java, JavaScript, SQL, C
  • Backend / Web: REST APIs, React, MySQL, JWT-based authentication
  • AI & Data: TensorFlow, Keras, PyTorch, OpenCV, NumPy, pandas, scikit-learn, Jupyter
  • Systems: Distributed systems, replication and consistency, concurrency, multithreading, OpenMP, SIMD
  • Tools & Technologies: Docker, Docker Compose, Git, CMake, Linux

Areas of Interest

Software engineering, distributed and data-intensive systems, applied AI/ML, computer vision, parallel computing, and cloud-native development.

Selected Coursework & Academic Projects

Much of this portfolio was developed through Computer Engineering coursework, including projects in distributed systems, parallel programming, computer vision, network security, data transmission, and internet engineering. The repositories preserve the original implementations and recorded experimental results where available.

Pinned Loading

  1. containerized-article-platformcontainerized-article-platformPublic

    Containerized full-stack article publishing platform with a Java backend, React frontend, MySQL, JWT authentication, and Docker Compose.

    Java

  2. Genetic-Algorithm-ImageGenetic-Algorithm-ImagePublic

    Jupyter Notebook

  3. lstm-mobility-predictionlstm-mobility-predictionPublic

    Attention-based BiLSTM mobility prediction using Porto taxi trajectories for proactive handover support in 5G/6G networks.

    Jupyter Notebook

  4. openmp-simd-benchmarksopenmp-simd-benchmarksPublic

    C++ image-processing benchmarks comparing sequential, OpenMP, and SIMD implementations for edge detection and watermarking.

    C++

  5. replicated-key-value-storereplicated-key-value-storePublic

    Replicated Go key-value store exploring eventual and strong consistency under configurable network delays.

    Go

  6. scene-classification-cnnscene-classification-cnnPublic

    Six-class natural-scene classification with baseline and regularized convolutional neural network experiments.

    Jupyter Notebook