Webinar on "Designing the Future of Healthcare: Challenges and Innovations in Implantable Device Technology"

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Join us for a captivating IEEE webinar led by Dr. Manisha Guduri from the University of Louisiana at Lafayette. This event will delve into the evolving landscape of implantable medical devices and how these groundbreaking technologies are shaping the future of healthcare. Dr. Guduri will explore the interdisciplinary challenges and cutting-edge innovations driving this field forward—from ultra-low power circuit design and synthetic data generation to AI-powered clinical applications and blockchain-based data security.

Participants will gain insights into:

  • The design of ultralow power circuits for improved device longevity, including real-world examples like advanced cardiac pacemakers.

  • The integration of AI and deep learning techniques (e.g., GANs) to enhance patient monitoring and support personalized treatment.

  • How blockchain and federated learning address privacy and security challenges in healthcare data management.

  • Emerging trends, including synthetic data for complex simulations and digital twin platforms for precision medicine.

This session promises to be a deep dive into the challenges and opportunities of creating secure, adaptive, and intelligent implantable device technologies that redefine patient care.


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Dr. Manisha Guduri of University of Louisiana at Lafayette

Topic:

Designing the Future of Healthcare: Challenges and Innovations in Implantable Device Technology

Abstract:
The rapid advancement of implantable medical devices is revolutionizing healthcare through enhanced disease management, real-time monitoring, and personalized treatment. This talk will discuss key challenges and innovations in implantable technology, focusing on:

  • Ultralow power circuit design for device longevity, exemplified by cardiac pacemakers optimized for nano-watt consumption.

  • Machine learning techniques, such as Generative Adversarial Networks (GANs) for synthetic ECG signal generation, and advanced breast cancer classification models using stratified K-fold cross-validation.

  • Data security solutions like blockchain-based federated learning, significantly reducing encryption/decryption times while protecting patient records.

  • Future directions, including synthetic data generation with naval combat simulations, cardiovascular device optimization, and fiber-integrated digital twin platforms.

These innovations collectively signal a paradigm shift towards secure, adaptive, and sustainable implantable technologies that redefine patient care in the era of precision medicine.

Biography:

Dr. Manisha Guduri is a Full Time Instructor at the University of Louisiana at Lafayette, where she brings a multidisciplinary approach to engineering and biomedical research. Her expertise spans the development of ultralow power circuits for implantable medical devices, data security and privacy in healthcare, and AI-integrated diagnostic systems.

Dr. Guduri holds a Ph.D. in Electrical and Computer Engineering and has been recognized for her contributions to advancing secure and intelligent implantable device technologies. Her work emphasizes innovative solutions that fuse circuit design, machine learning, and cybersecurity, shaping the future of precision medicine and patient care. She actively collaborates on projects focusing on synthetic data generation for medical imaging, blockchain-based federated learning for secure health data exchange, and emerging applications in digital twin systems.

In addition to her academic pursuits, Dr. Guduri is dedicated to fostering interdisciplinary collaborations and mentoring the next generation of engineers. Her passion for innovative healthcare solutions continues to inspire researchers and practitioners worldwide.

Email:

Address:Full Time Instructor , University of Louisiana at Lafayette, United States




Agenda

  • 6:00 PM – 6:02 PM
    Introduction to the Talk and Speaker

    • Welcome address and brief introduction of the topic and the speaker.

  • 6:02 PM – 6:47 PM
    Main Talk by Dr. Manisha Guduri

    • “Designing the Future of Healthcare: Challenges and Innovations in Implantable Device Technology”

    • In-depth presentation covering ultralow power circuits, AI integration, data security, and future research directions.

  • 6:47 PM – 6:57 PM
    Q&A Session

    • Open floor for participant questions and discussion.

  • 6:57 PM – 6:59 PM
    Concluding Remarks

    • Thank the speaker and wrap up the session with final thoughts.