Dr. Anima Kujur
Address
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg
Im Neuenheimer Feld 205 - MΛTHEMΛTIKON A, Second floor, Room: 2/328
69120 Heidelberg
Germany
Email: anima.kujur@iwr.uni-heidelberg.de
Office hours: By arrangement
About Me
I am Dr. Anima Kujur, a postdoctoral researcher at the Interdisciplinary Centre for Scientific Computing, Heidelberg University, Germany. With a Ph.D. in Computer Science and Technology from Jawaharlal Nehru University (JNU), New Delhi, India, and dual master’s degrees in Applied Mathematics (University of Hyderabad) and Computer Science (JNU), I am deeply committed to advancing research in medical imaging, dynamical systems, and deep learning. My career reflects a strong interdisciplinary approach, bridging computational mathematics and artificial intelligence to solve critical problems in healthcare and beyond.
Research Interests
- Deep Learning and AI Applications: Developing models for medical image segmentation and classification.
- Dynamical Systems and Neural ODEs: Modeling complex systems and time-series analysis.
- Explainable AI (XAI): Enhancing model interpretability for clinical decision-making.
- Neuroimaging Analysis: Integrating structural and functional MRI for Alzheimer’s disease and brain tumor diagnosis.
- Signal Processing: Leveraging EEG and fMRI data for predictive modeling.
Publications
Research Articles
- Data Complexity-Based Evaluation of Brain MRI Classification Models. IEEE Access, 2022.
- Performance Analysis of 3D Brain MRI Modalities Using U-Net. International Journal of Electronic Healthcare, Inderscience, 2023.
- DUNET: Dilated U-Net for Brain Tumor Sub-Region Segmentation. Defence Life Science Journal, 2024.
- Ability of Machine Learning and Deep Learning Models for Multiclass Classification of Kidney Stone and Lung Cancer from Computed Tomography Images: A Comparative Study. Defence Life Science Journal, 2025.
- AbED-Net: Radiological Image Segmentation for Medical Diagnosis. Neural Computing and Applications (Under Review).
Conference Articles
- Study on Data Imbalance in CNN Classifiers for Brain Tumor Data. 2nd Hasankeyf Scientific Studies Congress, Turkey, 2022.
- Dimensionality Reduction and CNN Classifiers for Alzheimer’s Disease. 9th GAP Summit, Turkey, 2022.
- AE-ML Models for Medical Image Classification. 1st Bilsel Efes Congress, Turkey, 2023.
Awards and Fellowships
- Senior Research Fellowship (SRF): Government of India, 2022–2024.
- Junior Research Fellowship (JRF): Government of India, 2019–2021.
- Qualified National Eligibility Test (NET): Assistant Professor, India, 2019.
Internships and Collaborations
- MGMT Promoter Methylation Prediction in Glioblastoma: Visiting research scholar at Mannheim Institute for Intelligent Systems in Medicine, Germany, 2023.
- Modeling Dynamical Systems: Internship at Heidelberg University, Germany, 2019.
- Neural Networks and Network Topology: JNU, India, 2019.
Other Experiences
- Tutor: HeiAIMS Summer School on Applied Mathematics and Scientific Computing, Cape Town, South Africa, 2024.
- Workshops and Leadership Programs: Participated in several international training sessions.
- Teaching: Educator at St. Xavier’s School, Chhattisgarh (2020–2021).
- Reviewer: Peer-reviewed 8 articles for IEEE Access.