Organized by IEEE Signal Processing Society (SPS) Student branch chapter (SBC), School of Electronics Engineering, KIIT (DU), Bhubaneswar

Event Details:

  • Title IEEE Invited Technical Talk: AI in Oncology: Cancer Diagnosis and Treatment, Medical Imaging, and Personalized Medicine
  • Resource Person: Dr. Sachi Nandan Mohanty, Professor, VIT-AP University
  • Date: 27th November 2025 (Thursday)
  • Time: 7:00 PM to 8:30 PM 
  • Mode: Online, Google Meet (https://meet.google.com/vjr-okuz-nkz)
  • Number of Participants: 30
  • Purpose of the Event: Academic knowledge enhancement and social awareness and outreach

Write-up on the Event:

The IEEE Invited Technical Talk on “AI in Oncology: Cancer Diagnosis and Treatment, Medical Imaging, and Personalized Medicine,” organized by the IEEE Signal Processing Society (SPS) Student Branch Chapter at the School of Electronics Engineering, KIIT (Deemed to be University), Bhubaneswar, on 27th November 2025, was a highly impactful and interdisciplinary session focusing on the transformative role of artificial intelligence in healthcare. Conducted from 7:00 PM to 8:30 PM in online mode via Google Meet, the session witnessed the active participation of 30 students and researchers, fostering an engaging and knowledge-driven environment. The talk was delivered by Dr. Sachi Nandan Mohanty, Professor at VIT-AP University, whose expertise in AI and data-driven systems provided valuable insights into cutting-edge medical applications. A key highlight of the session was the discussion on the use of AI in cancer diagnosis, treatment planning, medical imaging analysis, and personalized medicine approaches. The speaker emphasized how machine learning algorithms and signal processing techniques can improve early detection, accuracy, and patient-specific treatment strategies. The primary objective of the event was to enhance academic knowledge while promoting social awareness and outreach in the domain of AI-driven healthcare solutions. Participants gained exposure to real-world applications and emerging research opportunities in oncology. Overall, the session successfully inspired students to explore innovative intersections of artificial intelligence, signal processing, and medical science for societal benefit.