CV
Education, research experience, publications, and skills.
Contact Information
| Name | Akshatha Mohan |
| Professional Title | PhD Student in Imaging Science |
| mohan.a@wustl.edu |
Professional Summary
PhD student in Imaging Science at Washington University in St. Louis, working at the intersection of imaging science and machine learning for medical and scientific imaging.
Experience
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2025 - 2025 Durham, NC, US
Research Collaborator
Duke University (Virtual Imaging Trials)
Supervisor: Prof. Joseph Y. Lo
- Analyzed clinical and simulated CT images to study false positives in AI-based lung cancer detection.
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2023 - 2024 College Station, TX, US
Machine Learning Research Assistant
Advanced Vision and Learning Lab, Texas A&M University
Supervisor: Dr. Joshua Peeples
- Developed lacunarity pooling layers for texture-aware image classification (CVPRW 2024, M.S. thesis).
- Studied texture analysis of lung cell morphology after nanoparticle exposure (SPIE 2025).
- Built a PyTorch/Captum framework evaluating XAI methods for remote sensing (IGARSS 2023).
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2023 - 2024 College Station, TX, US
Graduate Teaching Assistant (ECEN 214)
Texas A&M University, Department of ECE
- Led circuit theory lab sections for 70+ undergraduates across three sections per semester.
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2021 - 2022 Bangalore, India
Android Security Software Engineer
Ittiam Systems Pvt. Ltd.
- Developed software fuzzers for AOSP (Linux kernel, UI automation), reaching 80%+ code coverage.
- Engineered C++ for LLVM and Syzkaller backends to improve platform security.
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2021 - 2021 Bangalore, India
Video Processing Research Intern
Indian Institute of Science (IISc)
- Built a real-time H.264/AVC streaming system over WiFi with end-to-end latency under 3 ms for 90% of packets.
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2020 - 2020 Bangalore, India
Computer Vision Research Intern
EngineCAL Pvt. Ltd.
- Deployed MobileNet-SSD v2 driver-assistance detection on edge devices (Raspberry Pi, Jetson Nano), 72.7% mAP.
Education
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2025 - Present St. Louis, MO, US
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2022 - 2024 College Station, TX, US
M.S.
Texas A&M University
Electrical and Computer Engineering
- Pattern Recognition, Machine Learning, Digital Image Processing, Computational Photography, Parallel Computing, Analysis of Algorithms
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2017 - 2021 Bangalore, India
B.E.
Bangalore Institute of Technology
Electronics and Communication
Publications
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2025 Texture analysis of lung cell surface morphology after nanoparticle exposure
SPIE Medical Imaging 2025: Digital and Computational Pathology
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2024 Lacunarity pooling layers for plant image classification using texture analysis
IEEE/CVF CVPR Workshops
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2024 -
2022 Generation of netlist from a hand drawn circuit through image processing and machine learning
IEEE AISP 2022
Skills
Programming: C, C++, Python, R, SQL, CUDA, Linux, Unix
Machine Learning: PyTorch, TensorFlow, scikit-learn, pandas, NumPy, LangChain, PowerBI, Tableau
Cloud: AWS SageMaker, AWS Bedrock, AWS S3, AWS EC2, AWS Athena, Azure Data Factory
Interests
Research Interests: Imaging Science, Medical Imaging, Multimodal Imaging, Texture Analysis, Explainable AI, Computer Vision