The 34th European Signal Processing Conference (EUSIPCO)
Learning together.
Sharing less.
I develop methods that make distributed machine learning more communication-efficient and privacy-aware.
I’m a PhD researcher at NTNU and a visiting PhD researcher at CISPA. My research focuses on communication-efficient federated learning and distributed optimization, particularly when clients have different data and participate intermittently.
What I work on
Theory → algorithms → systemsSelected publications.
All publicationsRecent work on learning with less communication.
Transactions on Machine Learning Research
SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
59th Asilomar Conference on Signals, Systems, and Computers
Enhancing Efficiency and Privacy in Federated Learning via Partial Model Sharing
Experience.
Full CVAug 2026 - nowVisiting PhD ResearcherCISPA
Saarbrücken, Germany
Beginning research on one-shot federated learning, with an initial focus on theoretical guarantees and model performance across distributed data.OrganizationDec 2023 - nowPhD ResearcherNTNU
Trondheim, Norway
- Design and analyze communication-efficient federated learning methods using block-wise sparsification, quantization, and error feedback.
- Study client heterogeneity and partial participation in optimization and generalization, including personalized and privacy-preserving learning.
- Develop reproducible Python/PyTorch research code and run controlled GPU/HPC experiments.
Sep 2025 - Sep 2026Data ScientistReLU, in collaboration with Oslo University Hospital
Trondheim, Norway
- Developed an abdominal aortic aneurysm segmentation pipeline for CT images using TotalSegmentator, aorta seed points, and geometric and boundary constraints.
- Developed a global controller for SO(3)-equivariant aorta tracking and contributed to dataset preparation, evaluation metrics, and reproducible ablation experiments.
Dec 2023 - Sep 2025Graduate Teaching AssistantNTNU
Trondheim, Norway
Supported Estimation, Detection and Classification and Digital Signal Processing.
Led help sessions and individual guidance; supported assignments, grading, and examinations.
OrganizationJan 2023 - Aug 2023Data Engineer InternJohnson Controls
Pune, India
- Reduced data processing time by 50% through ETL workflow optimization and migration of Spark jobs to PySpark.
- Built a Spring Boot data-loss detection service to automate manual checks and implemented data synchronization between Snowflake and PostgreSQL.
- Developed a predictive maintenance model using historical equipment data.
Earlier experience +
Sep 2022 - Jan 2023Teaching Assistant, Data Structures and AlgorithmsKIIT University
Bhubaneswar, India
Supported lectures, labs, and grading; developed C++/Python practice material on arrays, trees, graphs, and complexity.OrganizationJul 2020 - Sep 2020Research Intern in AI ApplicationsKIIT University
Bhubaneswar, India
Explored applications of artificial intelligence in power electronics; implemented small prototypes and literature reviews to evaluate feasibility.OrganizationEducation
2023 - present
PhD in Statistical Signal Processing and Machine Learning at the Edge
Norwegian University of Science and Technology (NTNU)
2021 - 2023
M.Tech. in Computer Science Engineering
Kalinga Institute of Industrial Technology (KIIT)
2017 - 2021
B.Tech. in Electronics and Computer Science Engineering
Kalinga Institute of Industrial Technology (KIIT)
How I build
Algorithm design, convergence analysis, and reproducible GPU/HPC experiments.
Recognition
- Vice-Chancellor’s Silver Medal
- KIIT Merit Scholarship
- Ethiopian Betre-Science Scholarship
Beyond research
Hiking trails, football, books, and the gym.
Let’s connect
Good research starts
with a conversation.
Open to research collaborations and conversations about federated learning, optimization, and medical AI.