Adarsha Bhattarai

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Professional Experience

Selected Research Accomplishments

1. 

   Accelerated CEST MRI Acquisition.

   Ongoing project: Developing optimization strategies and advanced techniques for biomedical image reconstruction.

   Image processing skills: MIPAV, ITK-SNAP, 3D Slicer, and MATLAB.

   AI models: Autoencoders and U-Nets

   Programming and Libraries: Python, NumPy, Pandas, Keras, and TensorFlow.

   Two papers in review at: IEEE Conference and IEEE Access Journal

2. 

   1. Adaptive partition of ECG diagnosis between cloud and wearable sensor net using open-loop and closed-loop switch mode.

   Bhattarai, Adarsha, et al. IEEE Access 10 (2022): 63684-63697.

   Read the paper
3. 

   2. An integrated secure efficient computing architecture for embedded and remote ECG diagnosis.

   Bhattarai, Adarsha, and Dongming Peng. Springer Nature Computer Science 4.1 (2022): 45.

   Read the paper
4. 

   3. An Intelligent Wearable ECG Sensor in Intra-medical Virtual Chain Network and Inter-medical Virtual Chain Network.

   Bhattarai, Adarsha, and Dongming Peng. Springer Nature Computer Science 5.4 (2024): 329.

   Read the paper
5. 

   4. Enhancing Wearable ECG Sensors: A Secure, Accurate and Efficient System Architecture for Resource-Constrained ECG Monitoring.

   Bhattarai, Adarsha, et al. 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC).

   Read the paper
6. 

   5. Multi-Tier Arrhythmia Detection: Achieving AI Hardware Compatibility Across Diverse Nodes.

   Bhattarai, Adarsha, Yutong Liu, and Dongming Peng. 2024 IEEE World AI IoT Congress (AIIoT).

   Read the paper

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Notable Project Accomplishments

1. 

   Applications of IoT Using Keysight U3800 FPGA

   Research on the importance of IoT in modern systems, utilizing various sensors and communication protocols such as Bluetooth and ZigBee for real-time data collection and analysis.

   View the project

1. 

   Camera System and Image Processing for NDVI

   Research on DIY camera system modification, filter removal for near-infrared imaging, and NDVI-based plant health analysis.

   View the project

2. NDVI Calculator: An Innovative Agricultural Software Solution

Adarsha. (2024). NDVI-and-2D-CNN-Plant-Leaf-Classification. GitHub. https://github.com/adarsha30735/NDVI-and-2D-CNN-Plant-Leaf-Classification

View the project

3. Automated Plant Disease Diagnosis Using 2D-CNN

Adarsha. (2024). NDVI-and-2D-CNN-Plant-Leaf-Classification. GitHub. https://github.com/adarsha30735/NDVI-and-2D-CNN-Plant-Leaf-Classification

View the project

HeartGPT: An Innovative Food Categorization and Health Scoring Model

Adarsha. (2024). Heart-GPT: LLM Project. GitHub. https://github.com/adarsha30735/1. HeartGPT-LLM-Project

View the project

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Grant and Fellowship

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Invited Conference Talks and Awards

• Best Research Paper Award: 2024 IEEE 14th Annual CCWC (Las Vegas, Nevada)
• Best Oral Presentation Award: UNO Student Research Fair, March 2024 (Nebraska, Omaha).
• Artificial Intelligence Conference: 2024 IEEE World AI IoT Congress (Seattle, Washington).

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Professional Certifications

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Specialization Courses Completed

See full transcript profile.

• Image Processing
• Computer Vision
• Practical Machine Learning
• Cyber/Network/Wireless Security (3 courses)
• Foundation of System Engineering
• Multivariate Random Process
• Digital Signal Processing

Professional Membership

Institute of Electrical and Electronics Engineers (IEEE)
IEEE Young Professional Membership, USA

International Society for Magnetic Resonance in Medicine (ISMRM)
ISMRM Trainee Membership, USA

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Presentation and Lectures

• AI presentation at NATI, Summer 2023: Access the PowerPoint Presentation
• C Programming Lecture, Spring 2024: Watch one of my lectures at University of Nebraska-Lincoln

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Contact Me

Email: abhattarai3@huskers.unl.edu

LinkedIn: linkedin.com/in/adarsha-bhattarai

GitHub: github.com/adarsha30735