PhD Candidate · Electrical Engineering, Penn State
Srijit Mukherjee
Disease-informed, interpretable machine learning for biomedical image analysis, built for clinics with scarce, noisy, imperfect data.
2026 Dr. Nirmal K Bose Dissertation Excellence Award, Electrical Engineering Department, Penn State.
Aug 2026 Preprint: Hydrocephalic brain volume estimation from low-field MRI (EnSegNet-Cross), under review at the Journal of Neural Engineering.
Fall 2026 Teaching assistant for EE 350, Continuous-Time Linear Systems, with Prof. Jeffrey Schiano.
2026 Hemibrain growth as a biomarker for whole-brain growth (joint first author) in the Journal of Neurosurgery: Pediatrics.
2026 GLAPAL-H in IEEE Transactions on Biomedical Engineering.
Research
My research focuses on developing disease-informed and interpretable machine learning and statistical methods for biomedical image analysis, particularly in clinical settings with scarce, noisy, and imperfect data. I incorporate disease etiology, anatomical structure, geometry, and multi-modal information directly into computational models to achieve a balance of performance, robustness, and interpretability.
My current research focuses on neonatal hydrocephalus diagnosis and quantitative analysis from low-field MRI, generalizing the framework to histopathology disease grading and biomedical signal (ICP, ECG) analysis.
- Computer Vision
- Medical Image Analysis
- Multimodal AI
- Interpretable Machine Learning
- Shape Analysis
- Biomedical Signal Analysis
Education
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2022 – 2027
Ph.D. in Electrical Engineering Pennsylvania State UniversityAdvisors: Vishal Monga (Penn State) and Steven Schiff (Yale, NIH)Dissertation: Hydrocephalic Etiology Guided Low-Field MRI AnalysisInformation Processing & Algorithms Laboratory
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2019 – 2021
Master's in Statistics Indian Statistical Institute, KolkataSpecialization: Theoretical Statistics
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2016 – 2019
Bachelor's in Statistics Indian Statistical Institute, KolkataSpecialization: Theoretical Statistics
Work
Awards
- 2026Dr. Nirmal K Bose Dissertation Excellence Award, Electrical Engineering, Penn State
- 2024Milton and Albertha Langdon Memorial Graduate Fellowship
- 2022 – 2026Penn State Graduate Fellowships
- 2022 – 2023Melvin P. Bloom Memorial Graduate Fellowship in Electrical Engineering
- 2018Simon Marais Undergraduate Mathematics Competition, awardee
- 2017, 2018Madhava Undergraduate Mathematics Competition, awardee
- 2015Indian National Mathematical Olympiad Training Camp, participant
- 2014Regional Mathematics Olympiad, awardee
Mentoring & service
- 2022 – 2026Mentored two Master’s and two Ph.D. students on biomedical AI: hemi-brain growth analysis, high-field MRI and CT segmentation, histopathological disease grading (DBIBD-Net), and intracranial-pressure (ICP) analysis. Contributed to NIH and NSF research proposals.
- 2022 – 2026Reviewer: IEEE Signal Processing Letters, IEEE Sensors (2026), IEEE CAMSAP (2023), IEEE ICASSP (2022 – 2025)
- 2026Judge in Mathematics, Pennsylvania Junior Academy of Science (PJAS)
- 2023 – 2025Mathematics instructor, Undergraduate Quant Finance Club at Penn State