DST-ANRF-Sponsored 5-Day Workshop on
Revolutionising Healthcare with AI: Computational Biology and Computer Vision in Medical Diagnostics

April 28 - May 02, 2025

About SRM University-AP

SRM University-AP, a pioneering institution in higher education, is dedicated to fostering innovation, research, and academic excellence. Established in 2017 with a vision to be a globally connected and industry-driven university, SRM AP blends interdisciplinary learning with world-class faculty, state-of-the-art infrastructure, and a dynamic curriculum.

Located in the heart of Andhra Pradesh, the university is committed to nurturing future leaders, entrepreneurs, and researchers through cutting-edge programs in engineering, sciences, management, and humanities. With a strong focus on experiential learning and industry collaboration, SRM AP provides a transformative educational experience that prepares faculty and students to excel in a rapidly evolving world.

Important Dates

  • Registration deadline:

    April 15, 2025

    Workshop Date:

    April 28 - May 02, 2025

About the Department of CSE

The Department of Computer Science and Engineering (CSE) at SRM University-AP is at the forefront of cutting-edge research, technology-driven education, and industry collaboration. With a curriculum designed to meet global standards, the department nurtures future innovators, entrepreneurs, and leaders in computing and artificial intelligence.

Equipped with state-of-the-art laboratories, world-class faculty, and interdisciplinary research centers, the department fosters a culture of experiential learning, innovation, and industry integration. SRM AP’s CSE graduates and faculty actively engage in advanced research areas such as Artificial Intelligence (AI), Data Science, Cybersecurity, Internet of Things (IoT), Blockchain, and Cloud Computing.

Department Vision

To create technology innovators and leaders who can shape the future of society through technical, research, and entrepreneurial skills with a strong emphasis on interdisciplinary learning and collaborations.

Department Mission

  • Use effective teaching and learning pedagogies to enhance technical competency with a focus on computer science and engineering fundamentals.
  • Encourage interdisciplinary education and research by promoting the exchange of ideas among a varied community of researchers, educators, and learners.
  • Develop a substantial body of knowledge for industrial applications.
  • Create an outstanding interdisciplinary research atmosphere
  • Instil students with effective managerial skills, fostering their development into competitive and visionary entrepreneurs.

Announcements

Artificial Intelligence (AI) is rapidly transforming healthcare, offering groundbreaking advancements in medical diagnostics through computational biology and computer vision. The workshop is a 5-day program conducted in offline mode with live lectures, and hands-on and interactive sessions. The technical sessions will include presentations from experts in academia on the latest advancements in the themes mentioned. The hands-on training will lay a pathway to get real-time knowledge about the recent trends of computer vision and computational biology in healthcare applications.

Outcome of the Workshop

By the end of the program, participants will have a comprehensive understanding of the role of computer vision and computational biology in transforming healthcare and the skills to drive innovation in academia and beyond.

Objectives of the Workshop

The objective of the Workshop is to empower faculty members with cutting-edge knowledge and practical skills in the rapidly evolving fields of computer vision and computational biology to enhance the accuracy, efficiency, and accessibility of medical diagnostics. The program aims to:

  • Introduce the foundational concepts and advancements in computer vision and machine learning, with a focus on healthcare innovation.
  • Explore real-world applications such as medical imaging, disease diagnosis, patient monitoring, and predictive analytics.
  • Provide hands-on training on tools, frameworks, and techniques used in healthcare-oriented machine learning and computer vision projects.
  • Explore AI and machine learning algorithms to analyze multi-omics data for identifying genetic markers and disease susceptibilities to provide insights into personalized treatment regimens and drug discovery.
  • Foster interdisciplinary collaboration and research opportunities among faculty to address complex healthcare challenges.
  • Equip participants to integrate these technologies into their teaching, research, and professional practices, ultimately contributing to improved healthcare outcomes.
TOP