Bachelors Student
Junior in Computer Science and Engineering
| Vijayawada, India | |
| RGUKT Nuzvid | |
| nikhil01446@gmail.com | |
| Google Scholar | |
| CV |
Hello, I'm Nikhileswara Rao Sulake, a Bachelor’s student in Computer Science and Engineering at RGUKT (Rajiv Gandhi University of Knowledge Technologies) in Vijayawada, India with a strong focus on Deep Learning, Computer Vision, and Medical Imaging. Thank you for visiting my profile.
I previously interned at
Stanford Medicine under the guidance of
Dr. Arutselvan Natarajan and
Dr. Frezghi Habte, and at
IIT Kharagpur with
Mr. Partha Acharya
(TCS Research, India) and
Dr. Subhamoy Mandal.
I have also collaborated with
IISc Bangalore under the guidance of
Dr. Phaneendra Yalavarthy, with
Harvard Medical School under the guidance of
Dr. Bhaskara Chintada and
also with Khalifa University of Science and Technology under
the guidance of Dr. Iyyakutti Iyappan Ganapathi.
In industry, I interned at
Neural Nurture,
Parabola9,
CoreAI.
I am broadly interested in medical imaging, computer vision, and multimodal learning, with a focus on vision-language models for healthcare. My goal is to develop robust and interpretable AI systems that integrate imaging and clinical knowledge to support diagnosis and improve patient outcomes.
I’m actively seeking Research Assistant roles in academic or industrial research labs, with a focus on computer vision, medical imaging, and multimodal AI. I am also preparing to pursue my higher studies through an MSc–Integrated PhD program, and would be glad to connect regarding potential opportunities.
News
- [Mar 2026] Two papers accepted at the IEEE Guwahati Subsection Conference (GCON) Conference 2026 presenting at IIT Guwahati, India. ([Paper1: Uncertainty Quantification], [Paper2: Multiphase MRI Segmentation])
- [Feb 2026] Top 5 at CXR-LT 2026 Challenge on Long-Tailed Chest X-ray Classification Benchmark at ISBI 2025.
- [Jan 2026] Submitted a paper "ECG-Free Cardiac Timing in Echo" to Biomedical Signal Processing and Control journal, Review Link.
- [Jan 2026] Paper on "YOLOv11 Demystified" accepted as a Poster presentation at the Computer Vision Conference 2026, Netherlands.
- [Nov 2025] Runner-Up at the Smart India Hackathon (SIH) finals on a disaster management project using drones and computer vision.
- [Nov 2025] Placed in the Top 10 of the IEEE EMBS BHI 2025 Data Challenge for depression analysis with our framework "MINDER".
Education
-
Integrated B.Tech in Computer Science and Engineering (2021 – Present)
Rajiv Gandhi University of Knowledge Technologies, Andhra Pradesh, India
CGPA: 8.92/10 -
Certification in Artificial Intelligence and Machine Learning (2023 – 2024)
Defence Research and Development Organisation (DRDO) & Defence Institute of Advanced Technology (DIAT), Pune
CGPA: 9.2/10