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    "description": "Saadman Sakib is a research assistant at the University of Dhaka, working on wearable sensing, biomedical signal processing, machine learning, and robotics.",
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    "name": "Saadman Sakib",
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    {
      "id": "about",
      "type": "about",
      "navLabel": "About",
      "title": "About me",
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      "lead": "I work at the intersection of biomedical engineering and wearable technology, developing ways to understand the body through sensors, signals, and machine learning.",
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        "biomedical engineering",
        "wearable technology"
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      "paragraphs": [
        "I’m a Research Assistant at the Mechatronics and Artificial Intelligence in Medicine Laboratory (MAIM Lab), University of Dhaka. My work focuses on fetal movement monitoring, mechanomyography, and wearable systems for health research.",
        "I enjoy working across hardware and software: building sensors, designing reliable data collection systems, analyzing biosignals, and making results easier to understand through 3D visualization. I’m particularly interested in comfortable, practical devices for long-term monitoring."
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        "Wearable sensing",
        "Biosignals",
        "Machine learning",
        "Medical imaging",
        "Robotics"
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          "title": "BSc in Robotics and Mechatronics Engineering",
          "date": "2020–2025",
          "subtitle": "University of Dhaka, Bangladesh · CGPA 3.73",
          "details": [
            {
              "label": "Dissertation:",
              "text": "Mapping of Mechanomyographic Signals from Arm Muscle Compartments."
            },
            {
              "label": "Advisor:",
              "text": "Dr. Abhishek Kumar Ghosh."
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          "title": "Higher Secondary Certificate",
          "date": "2019",
          "subtitle": "Notre Dame College, Dhaka"
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          "title": "Secondary School Certificate",
          "date": "2017",
          "subtitle": "Chittagong Collegiate School, Chittagong"
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          "year": "2024",
          "title": "Deep Learning for Mango Leaf Disease Identification: A Vision Transformer Perspective",
          "authors": [
            "Md. Arban Hossain",
            "Saadman Sakib",
            "H. M. Abdullah",
            "Shifat E Arman"
          ],
          "highlightAuthor": "Saadman Sakib",
          "journal": "Heliyon",
          "citation": "10(17), e36361",
          "url": "https://doi.org/10.1016/j.heliyon.2024.e36361"
        },
        {
          "year": "2023",
          "title": "Intracranial Hemorrhage Classification From CT Scan Using Deep Learning and Bayesian Optimization",
          "authors": [
            "Shifat E Arman",
            "Sayed Saminur Rahman",
            "Niloy Irtisam",
            "Shamim Ahmed Dewan",
            "Md. Ariful Islam",
            "Saadman Sakib",
            "Mehedi Hasan"
          ],
          "highlightAuthor": "Saadman Sakib",
          "journal": "IEEE Access",
          "citation": "11, 83446–83460",
          "url": "https://doi.org/10.1109/ACCESS.2023.3300771"
        }
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          "title": "Fetal movement monitoring",
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            "Developing a machine learning pipeline to detect fetal movements from a multimodal wearable belt and investigate fetal biomarkers and biophysical information."
          ],
          "technologies": [
            "Python",
            "Signal processing",
            "Machine learning",
            "MLOps"
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          "notes": [
            "Wellcome Leap, In Utero · Collaboration with University College Dublin",
            "Supervisor: Dr. Abhishek Kumar Ghosh"
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          "id": "mmg-project",
          "title": "Mapping muscle activity with mechanomyography",
          "subtitle": "Biosignals · Wearable gesture recognition",
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          "paragraphs": [
            "Designing a piezoelectric sensor system to capture signals from forearm muscle compartments. The work brings together embedded data collection, gesture classification, and a Unity-based 3D visualization of muscle activity."
          ],
          "technologies": [
            "Piezo sensors",
            "Embedded systems",
            "Python",
            "Unity",
            "3D design & printing"
          ],
          "notes": [
            "UGC-funded · Supervisor: Dr. Abhishek Kumar Ghosh"
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        },
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          "id": "project-3",
          "title": "Wearable data for menstrual health research",
          "subtitle": "Physiological data · Health monitoring",
          "expanded": false,
          "paragraphs": [
            "Analyzing wearable measurements of heart rate, oxygen saturation, sleep, and physical activity to explore relationships with heavy menstrual bleeding."
          ],
          "notes": [
            "Wellcome Leap, Missed Vital Sign · Collaboration with a medical research team in Uganda"
          ]
        },
        {
          "id": "project-4",
          "title": "Automated warehouse robot",
          "subtitle": "Mapping & navigation · 2023",
          "expanded": false,
          "paragraphs": [
            "Built a robot to map a warehouse and navigate through it autonomously. Integrated sensing and actuation with ROS, using a Raspberry Pi and Arduino."
          ],
          "technologies": [
            "ROS",
            "Nav2",
            "LiDAR",
            "Python",
            "Raspberry Pi",
            "Arduino"
          ]
        },
        {
          "id": "project-5",
          "title": "Gesture-controlled manipulator",
          "subtitle": "Computer vision · IoT · 2023",
          "expanded": false,
          "paragraphs": [
            "Designed and 3D printed a gripper, developed a deep learning gesture detector, and connected it to a NodeMCU controller through a JavaScript server."
          ],
          "technologies": [
            "Python",
            "C++",
            "ESP-12E",
            "JavaScript",
            "SolidWorks"
          ]
        },
        {
          "id": "project-6",
          "title": "IoT cat feeder",
          "subtitle": "Connected hardware · 2022",
          "expanded": false,
          "paragraphs": [
            "Built a remotely controlled feeder with a custom 3D-printed bowl, a servo-driven dispensing mechanism, and Flutter applications for mobile and desktop."
          ],
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            "Flutter",
            "C++",
            "NodeMCU",
            "JavaScript",
            "SolidWorks"
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          "title": "Numerical inverse kinematics simulator",
          "date": "2024",
          "description": "A 3-DoF planar robotic arm simulation with numerical inverse kinematics and animated target tracking.",
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            "Python",
            "SymPy",
            "NumPy",
            "Matplotlib"
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          "title": "Intracranial hemorrhage classification",
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          "description": "A DenseNet-based model for classifying five types of intracranial hemorrhage from CT images, with Bayesian hyperparameter optimization.",
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            "TensorFlow / Keras",
            "DenseNet",
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          "title": "Mango leaf disease identification",
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          "description": "Compared vision transformers with CNNs, explored model predictions with GradCAM, and developed a mobile web application for disease identification.",
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            "PyTorch",
            "DeiT",
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            "JavaScript"
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        {
          "title": "Project Icarus",
          "date": "2023",
          "description": "A virtual reality simulation of the Parker Solar Probe’s journey to the Sun.",
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            "Unity",
            "C#",
            "Oculus SDK"
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        },
        {
          "title": "Panam Virtual Museum",
          "date": "2023",
          "description": "A multiplayer virtual environment inspired by Panam Nagar, with first-person exploration and Oculus Quest support.",
          "technologies": [
            "Unity",
            "C#",
            "Oculus SDK"
          ]
        },
        {
          "title": "Video calling web application",
          "date": "2022",
          "description": "A lightweight peer-to-peer video calling application with Express-based signaling and WebRTC communication.",
          "technologies": [
            "HTML",
            "CSS",
            "JavaScript",
            "Express",
            "WebRTC"
          ]
        },
        {
          "title": "Cross-platform to-do application",
          "date": "2021",
          "description": "A task application combining a Django REST API, a Vue.js interface, and Electron for desktop use.",
          "technologies": [
            "Django",
            "Vue.js",
            "SQL",
            "Electron"
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        },
        {
          "title": "Q-learning and the brachistochrone problem",
          "date": "2021",
          "description": "Explored reinforcement learning to find the fastest descent path under gravity in a grid-based environment.",
          "technologies": [
            "Python",
            "Reinforcement learning"
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          "title": "Research Assistant",
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          "subtitle": "University of Dhaka · PI: Shifat E Arman",
          "description": "Vision transformer models for mango leaf disease identification, optimization, and model interpretation using GradCAM."
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          "title": "Web Programmer",
          "date": "Dec 2023–Jun 2024",
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          "title": "Research Assistant",
          "date": "Aug 2022–Aug 2023",
          "subtitle": "University of Dhaka · PI: Dr. Shamim Ahmed Dewan",
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          "date": "2023"
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        {
          "title": "2nd Runner Up",
          "event": "DU IIT HackTheVerse DevOps Competition",
          "date": "2023"
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        {
          "title": "Regional Champion",
          "event": "NASA Space Apps Challenge",
          "date": "2022"
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        {
          "title": "2nd Runner Up",
          "event": "DUCSU Science & Technology Olympiad, Physics",
          "date": "2020"
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          "title": "National Medalist",
          "event": "Bangladesh Physics Olympiad",
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