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<!DOCTYPE html>
<html lang="en">

  <head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://kit.fontawesome.com/f2b0adb5d7.js" crossorigin="anonymous"></script>
    <script
	type="module"
	src="https://gradio.s3-us-west-2.amazonaws.com/4.25.0/gradio.js"
></script>
    <title> Ali Bidaran - Website</title>
    <link rel="stylesheet" href="style.css">
  </head>

  <body>
    <header>
     <div class="hero-image">
       <div class="hero-text">
         <h1>Ali Bidaran</h1>
      <p class="title">Computer Scientist and AI Engineer</p>
       </div>
     </div>
      
    </header>

    <nav>
      <ul>
        <li><a href="#about">About</a></li>
        <li><a href="#skills">Skills</a></li>
        <li><a href="#projects">Projects</a></li>
        <li><a href="#contact">Contact</a></li>
      </ul>
    </nav>

    <main>
      <section id="about">
        <h2>About Me</h2>
        <p>Welcome to my website. My name is Ali Bidaran, and I am an AI engineer. I studied  electronic engineering, while my main profession is designing ML and AI models for various projects. My main research interest is designing Computer Vision and NLP, in particular LLMs, for different applications. Moreover, I often contribute designing embedded systems, PCB boards and IoT projects. </p>
      </section>

      <section id="skills">
        <h2>Skills</h2>
       <div class="card-container">
        <div class="card-a">
            <h3>AI and Machine learning</h3>
            <ul>
              <li>Deep learning (frameworks like PyTorch, ONNX and Keras)</li>
              <li>Machine Learning (frameworks like Scikit-learn)</li>
              <li>Computer Vision (frameworks such as OpenCV, Diffusers and OpenVino)</li>
              <li>NLP and LLMs (frameworks Transformers, Gensim, Spacy)</li>
            </ul>
        </div>
        <! --
        -->
       <div class='card-f'>
            <h3>Front-End</h3>
            <ul>
              <li>HTML5</li>
              <li>CSS3 </li>
              <li>JavaScript</li>
            </ul>
          <div class="skill">
            <h3>Back-End</h3>
            <ul>
              <li>Programming Languages (e.g., Python)</li>
              <li>Web Frameworks (e.g.,Flask)</li>
              <li>Databases (e.g., MySQL, MongoDB)</li>
              <li> Fast prototyping (e.g., QT and Gradio)</li>
            </ul>
          </div>
       </div>
          <div class='card-cd'>
            <h3>DevOps</h3>
            <ul>
              <li>Version Control (Git)</li>
              <li>Deployment Tools (e.g., Docker, AWS)</li>
              <li>CI/CD Pipelines</li>
            </ul>
          </div>
       <div class='card-d'>
            <h3>Data Processing</h3>
            <ul>
              <li>Programming Languages (e.g., Python)</li>
              <li>Pandas</li>
              <li>Numpy</li>
              <li>Data visualization (e.g. Plotly, Matplotlib and Dash)</li>
            </ul>
       </div>  
        <div class='card-ar'>
            <h3>Embedded Systems and IoT</h3>
            <ul>
              <li>Programming Languages (e.g.,C/C++, Micropython)</li>
              <li>Platforms (e.g. Arduino IDE, Mbed)</li>
              <li>Boards (e.g, Arduino, STM32, ESP32, Raspberry pi) </li>
              <li>PCB board designing (e.g. Kicad)</li>
            </ul>
       </div>     

       </div>
       
               </section>

      <section id="Education">
        <h2>Education</h2>
       <div class="card-container">
        <div class="card-e">
            <h3>Amirkabir University of Technology (Tehran, Iran)</h3>
            <p>
            Master's of Electrical Engineering-Digital Electronic Systems
            </p>
            
        </div>
       <div class='card-e'>
            <h3>Islamic Azad University (Central Tehran Branch)</h3>
            <p>
            Bachelor degree in Electrical Engineering

            </p>
       </div>
       
         

       </div>
       
               </section>
       <section id="Summer Schools and Conferences">
        <h2>Summer Schools and Conferences</h2>
       <div class="card-container">
        <div class="card-s">
            <h3>Oxford University, England</h3>
            <p>
            Attendance of Oxford Machine Learning School (OXML)(2024)
            </p>
            
        </div>
       <div class='card-s'>
            <h3>Ukrainian Catholic University, Ukraine </h3>
            <p>
             Lviv Data Science Summer School (2022)
            </p>
       </div>
          <div class='card-s'>
            <h3>12th International Conference on Information and Knowledge Technology, Iran </h3>
            <p>
  Contribution as Invited speaker (2021)
            </p>
       </div>
        <div class='card-s'>
            <h3>Gdansk University of Technology, Poland</h3>
            <p>
             Attending at International summer school on deep learning (ISSonDL)(2020)
            </p>
       </div>
         <div class='card-s'>
            <h3>Politehnica University of Bucharest, Romania</h3>
            <p>
             Attending at International Summer School of Imaging and Medical Application (SSIMA)
 (2019)
            </p>
       </div>

       </div>
       
               </section>
      <section id="Publications">
        <h2>
          Publications
        </h2>
        <div class="pubs">
          <a href="https://ieeexplore.ieee.org/abstract/document/9685153">
            A. Bidaran and S. Sharifian, "Designing an AI-assisted toolbox for fitness activity recognition based
            on deep CNN," 2021 12th International Conference on Information and Knowledge Technology (IKT),
            2021, pp. 29-34, doi: 10.1109/IKT54664.2021.9685153
          </a>
        </div>
      </section>
      <section id="projects">
        <h2>Projects</h2>
        <div class="project-container">
          <div class="project">
            <h3>Instruction2PythonCode</h3>
            <img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png" alt="Project 1">
            <p>Fine-tuning the latest Google’s open source LLM model (Gemma) to generate Python codes for various
              applications, from Machine learning to backend and web development.</p>
            <a href="https://huggingface.co/alibidaran/Gemma2_Python_instruction">View Project</a>
          </div>
        </div>
        <div class="project-container">
          <div class="project">
            <h3>Virtual Doctor</h3>
            <img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.png" alt="Project 1">
            <p>Implementing and fine-tuning the latest LLM model, in particular Gemma, being a member of Google’s Gemini
              AI, for medical and healthcare applications.</p>
            <a href="https://huggingface.co/alibidaran/Gemma2_Virtual_doctor">View Project</a>
          </div>
        </div>
         <div class='project-container'>
        <div class='project'>
        <h3>Bone Fracture detector</h3>
            <p>An open-source AI driven web app that can detect bone fractures from XRAY images. A handy web app for orthopedists and medical professionists.
              Our optimized Yolo-V8 model enable all users to execute it in CPU efficently. Moreover, this model can be executed in real-time environments.</p>
     <gradio-app src="https://alibidaran-bone-fraction.hf.space"></gradio-app>
    </div>
    </div>
        <div class="project-container">
          <div class="project">
            <h3>Davinci Eye</h3>
            <p>Designing an Unet model for segmenting surgery images and optimizing its weights to get real-time performance
              on the Intel CPU families.Designing a web app with the trained model with Python, Numpy, OpenVino, ONNX, and Gradio.
              Deploying it in HuggingFace spaces(AWS)</p>


<gradio-app src="https://alibidaran-davinci-eye.hf.space"></gradio-app>


          </div>
        </div>

   
 <div class="project-container">
          <div class="project">
            <h3>Medical transcript generator</h3>
            <p>An open source project that contains the implementation of the medical transcript generator by fine-tuning a
LLM such as GPT-2 to create realistic medical reports with Python, PyTorch, and Transformers libraries.
Having been downloaded over 18 thousands since March 2023.
</p>


<gradio-app src="https://alibidaran-medical-trascription-generator.hf.space"></gradio-app>



          </div>
        </div>
<div class="project-container">
          <div class="project">
            <h3>Symptom2Disease</h3>
            <p>Fine-tuning a LLM such as BERT to detect 24 different diseases from textual symptoms in Python, PyTorch,
and Transformers.</p>


<gradio-app src="https://alibidaran-symptom2disease.hf.space"></gradio-app>



          </div>
        </div>
<div class="project-container">
          <div class="project">
            <h3>Alzaimer MRI detection</h3>
            <p>Designing a CNN model and optimizing it for CPUs to different stages of Alzaimer from MRI images.</p>


<gradio-app src="https://alibidaran-alzaimer-mri-image-detection.hf.space"></gradio-app>




          </div>
        </div>

<div class="project-container">
          <div class="project">
            <h3>General Image Captioning</h3>
            <p>Implementing an image captioning model based on GPT and CNN models to create realistic captions for images
with Python, PyTorch, and Transformers.</p>


<gradio-app src="https://alibidaran-general-image-captioning.hf.space"></gradio-app>




          </div>
        </div>

      </section>

      <section id="contact">
        <h2>Contact</h2>
        <p>Feel free to reach out to me from these platforms:</p>
        <ul>
        <li><i class="fa-sharp fa-solid fa-at"></i> <label>aabidaran@gmail.com</label></li>
          <li><a href="https://www.linkedin.com/in/ali-bidaran-79875415b/"><i class="fa-brands fa-linkedin"></i></a></li>
          <li><a href="https://github.com/alecbidaran"><i class="fa-brands fa-github"></i></a></li>
            <li><a href="https://www.kaggle.com/alibidaran"><i class="fa-brands fa-kaggle"></i></a></li>
        </ul>
      </section>
    </main>

    <footer>
      <p>&copy; Ali Bidaran 2024</p>
    </footer>
  </body>

</html>