PhD aspirant with a robust research foundation in artificial intelligence, deep learning, and medical imaging. Skilled in explainable AI, collaborative research, and interdisciplinary teamwork, with multiple peer-reviewed publications. Driven by curiosity and a passion for advancing scientific knowledge — seeking doctoral opportunities to contribute to innovative AI research and solve complex real-world problems.
Assistant Professor
Nov 2024 – Present
Madanapalle Institute of Technology and Science (MITS), Madanapalle, India
Instructed undergraduate courses in Artificial Intelligence, Deep Learning, and Technical Writing in the Department of Computer Science and Technology. Mentored student groups on advanced AI–healthcare projects including medical imaging, disease detection, and graph-based classification — several reaching national-level conference standards.
Student Researcher
Sep 2022 – Aug 2024
AMI Lab, Pusan National University, Busan, South Korea
Applied deep learning techniques to medical imaging challenges and developed AI-based object detection models. Contributed to multiple research publications and provided teaching support for AI-related courses.
Intern
Sep 2020 – Nov 2020
Fly 2Gether, Daegu, South Korea
Organized academic outreach tours and events.
Intern
Sep 2019 – Dec 2019
Microcomputing Co. Ltd, Daegu, South Korea
Developed programming materials for middle and high school learners.
M.Sc. in Artificial Intelligence
Pusan National University
Busan, South Korea
Thesis: Ultrasound Image Enhancement Using Deep Learning
Duration
Sep 2022 – Aug 2024
GPA
4.44 / 4.5
B.E. in Computer Science
Kyungpook National University
Daegu, South Korea
Double Degree Exchange Student
Duration
Sep 2019 – Jul 2021
GPA
3.66 / 4.3
B.Tech in Information Technology
Christ University
Bengaluru, India
Duration
Sep 2017 – Jul 2021
GPA
3.74 / 4.0
T
Ultrasound Image Enhancement Using Deep Learning
Kambaluru, Ashok — Master's Thesis
Pusan National University, 2024
1
SiYeoul Lee, Seonho Kim, MinKyung Seo, SeongKyu Park, Salehin Imrus, Kambaluru Ashok, DongEon Lee, Chunsu Park, SeonYeong Lee, Jiye Kim, Jae-Heung Yoo, MinWoo Kim
IEEE Transactions on Medical Imaging, 2025
2
Chunsu Park, Seonho Kim, DongEon Lee, SiYeoul Lee, Ashok Kambaluru, Chankue Park, MinWoo Kim
MICCAI, 2024
3
Kambaluru Ashok, Penumalli Anvesh Reddy, Kukatlapalli Pradeep Kumar
Book Chapter, 2023
4
Real-time Laryngeal Structure Detection for Assisting Endotracheal Intubation Procedure using Deep-Learning
Tae Kyun Kim, Jiye Kim, EonSeung Seong, Kambaluru Ashok, MinWoo Kim, Dong-Kyu Lee
British Journal of Anaesthesia
Under Review, 2025
5
Evaluating the Effectiveness of SHAP-Based Feature Selection in XGBoost Classification
Kambaluru Ashok, Basabi Chakraborty
In Preparation, 2026
Technical
Python
Deep Learning
Artificial Intelligence
SQL
Machine Learning
XAI / SHAP
Computer Vision
Medical Imaging
Professional
Research & Publication
Teaching
Teamwork
Communication
Adaptability
Language — IELTS
Valid until Sep 28, 2027
Achieved top scholarship throughout M.Sc. studies at Pusan National University, South Korea — reflecting consistently outstanding academic performance (GPA 4.44/4.5).
