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Amol Mahurkar

Prospective Graduate Student

email id: amolgmahurkar [AT] ieee.org




Short Bio: Amol Mahurkar's current research focus is on Compressed Sensing and Sparsity based methods with applications in Medical Imaging. His other research interests include Machine Learning, Computer Vision, Signal Processing. He has an undergraduate degree from Sinhgad College of Engineering, Pune University.

Home Research Interests Education Publications Projects Codes CV Links About me

Research Interests

Education

Bachelor of Engineering, Electronics and Telecommunication
Sinhgad College of Engineering,
Pune University, India

Publications

[Scholar] [dblp]

Conferences

"Integrated Approach to Handwritten Character Recognition using ANN and Its Implementation on ARM"
Ganesh Rakate, Amol Mahurkar.
In IEEE ICCIC 2012. [Link to PDF] [Video] [More info] [Best Undergrad Project]

Posters/Abstracts

"Selective Visualization of Anomalies in Fundus Images via Sparse and Low Rank Decomposition"
Amol Mahurkar, Ameya Joshi, Naren Nallapareddy, Pradyumna Reddy, Micha Feigin, Achuta Kadambi, and Ramesh Raskar.
In ACM SIGGRAPH 2014 Posters (SIGGRAPH '14). [Link to PDF]

Projects

Click on hyperlink to view more.
  1. Facial Expression Recognition (to be uploaded soon)
  2. Vessel Extraction from retinal images using matched filter
  3. Action Recognition on Kinect data
  4. Classifying STL-10 images using CNN
  5. Learning features with Sparse Auto-encoders
  1. Bayes Nets for Genetic Inheritance
  2. Markov Networks for OCR
  3. Exact Inference
  4. Approximate Inference
  5. Decision Making in assessing tests for Arrhythmogenic Right Ventricular Dysplasia (ARVD)
  6. CRF Learning for OCR
  1. Intelligent e-book (Electronic Notebook with Handwriting Recognition) [Best Undergrad Project]
  2. Auto-tune PID controller (Self Learning PID Controller)
  3. Checkpoint Assessment system for Line Following Robots
  4. Study of Vector Control Algorithm and Inverter design for BLDC Motor, V/f control Algorithm
  5. ROBOCON days
  6. My first line follower

Codes

Available on GitHub, MATLAB Central

  1. Intelligent ebook (Electronic Notebook with Handwriting Recognition)
  2. Auto-tune PID controller (Self Learning PID Controller)
  3. UFLDL Sparse Auto-encoder
  4. UFLDL PCA 2-D
  5. UFLDL PCA and ZCA Whitening
  6. UFLDL Softmax Regression
  7. UFLDL Self Taught Learning
  8. UFLDL Stacked Auto-encoder
  9. UFLDL Linear Decoders
  10. UFLDL Convolutional Neural Networks (CNN)
  11. Antenna Arrays in 3-D (Broadside, Endfire, Binomial)
  12. Antenna Arrays in 2-D (Broadside, Endfire, Binomial, Dolph-Chebyshev)
  13. Error Correcting Algorithms (Viterbi, Trellis and Cyclic Codec)




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