Received a Bachelor's degree in Information Technology from Benazir Bhutto Shaheed University Lyari, dedicated AI researcher with a strong focus on medical imaging. Significant contributions have been made to the development of deep learning models, particularly in the areas of segmentation, classification, and generative AI. The work is centered on advancing medical diagnosis through innovative AI techniques, with key publications in medical data mining and machine learning. Currently working as a Research Associate at Datalink Research and Technology Lab, focusing on advancing AI-driven healthcare solutions. Expertise spans a wide range of AI fields, including computer vision, medical image analysis, and data augmentation.
Email: rajavavekanand@yahoo.com bharwanivk@outlook.com
Profiles: Google Scholar Research Gate LinkedIn ORCID GitHub
Education Background
◉ Bachelor of Science in Information Technology (1st Division) Jan 2020 – Feb 2024
From Benazir Bhutto Shaheed University Lyari Karachi
◉ Intermediate in Pre-Engineering (Grade A) Jun 2017 – Aug 2019
From Board of Intermediate & Secondary Education, Mirpurkhas
◉ Matriculation in Science (Grade A) Aug 2015 – May 2019
From Board of Intermediate & Secondary Education, Mirpurkhas
Work Experiences
◉ AI Researcher March 2024 – Present
@ Datalink Research and Technology Lab
• Focusing on Machine Learning, Medical Imaging and Generative AI, developing ML algorithms and model training for projects in medical imaging.
• Collaborate on research publications, applying machine learning and computer vision techniques to enhance image analysis and create innovative AI-driven solutions.
◉ ICG Technology Software Development Internee Oct 2023 – Nov 2023
@ Citi
• Create a state diagram, write a feature proposal, query data from the web and visualize live data.
◉ Research Assistant Feb 2023 – Sept 2023
@ Faculty of Computer Science and Information Technology, BBSUL
• Work with faculty professor on on an academic project focused on "Industrial Water Quality Classifications" project based on Internet of Things (IoT) and Machine Learning. .
• My responsibilities included training a KNN model, collecting real-time data from sensors, analyzing and scientific research by collecting, organizing data and conducting literature reviews.
◉ IT Instructor Nov 2021 - Dec 2022
@ ITech365
• Design and deliver engaging lessons on programming, artificial intelligence, cyber security and networking.
• Interactive learning environment, assess student progress and mentor their growth.
◉ Internship Aug 2020 - Jan 2021
@ Pi Space Science and Education Center
• Learn campaign management, data analysis and the power of digital advocacy.
• Engage communities and support social causes through online platforms.
Summer Schools
◉ Summer School on Machine Learning July 14-27, 2025
@ Faculty of Computing of Harbin Institute of Technology, Harbin, China
• Participated in a 12-day program on generative AI, covering multimodal approaches, self-supervised learning, and large language models. Gained hands-on experience through lectures, workshops, and team projects addressing real world challenges.
◉ RISE MICCAI Summer School July 14-18, 2025
@ The Medical Image Computing and Computer Assisted Intervention Society
• Completed an intensive online training program on the latest advancements in medical imaging, AI, and deep learning, including hands-on workshops on diffusion models, generative AI, and graph learning in medical image analysis.
Latest News
Paper Accepted: Our paper titled Lightweight Physics-Conditioned Diffusion Multi-Model for Medical Image Reconstruction has been accepted for publication in Biomedical Engineering Communications.
▶ Appointment: I have been appointed as an Associate Editor for Journal of Computing Intelligence
▶ New Role: I have been nominated as a Reviewer for the IEEE Internet of Things Journal.
▶ Appointment: I have been appointed as a Young Scientist Board Member for Medical Data Mining Journal.
▶ Paper Accepted: Our paper titled UAV Networks Surveillance Implementing an Effective Load Aware Multipath Routing Protocol (ELAMRP) has been accepted for publication in International Journal of Innovative Science and Research Technology (IJISRT). [Preprint]
▶ New Project: Latest research project titled Deep Learning for Computed Tomography Scans Analysis. [Access]