"An investment in knowledge pays the best interest."
Bobby Mohan
Bioengineer
ABOUT
I am Bioengineering Graduate with 7+years of Industry and Research experience.
I Have practical knowledge in Machine Learning, NLP, and DSP.
Developed tools in MATLAB & Python to analyze and visualize Unstructured Data.
I've worked on several projects, including machine learning models and natural
language processing (NLP), as part of a team of other researchers. In previous position,
leaded a team with other two researcher's, working on Signal Processing and Image Segmentation.
We met on a regular basis to discuss our progress and ensure that we were all on the same page.
Working with a team requires me to be a good leader and communicator.
Creativity, problem-solving skills, collaboration with multidisciplinary experts,
and attention to detail, in my opinion, are some of the most important qualities
of a successful research scientist. I am constantly thinking about different solutions
because I am always looking for new ways to solve problems or improve processes.
I also need to pay close attention to detail because I need to ensure that all
my work is accurate and precise. Finally, I believe that creativity is important
because it allows me to come up with new ideas and solutions.
Explore some of my research here .
RESUME
EMPLOYMENT HISTORY
Research Projects at Cognition and Sensorimotor Integration Lab, University of Pitssburgh
August 2022 - Present
- Performing spectral analysis on local field potential signals, recorded from superior colliculus to
understand the transformation of sensation to action during visually guided movements.
Research Associate at Cluster Training and Computational Services
January 2020 - January 2022
- Analysed various physiological data like ECG, EEG, and Radiological Images.
- Implemented novel techniques in Image segmentation and Network classification to detect pathological conditions.
- Developed an Automated popping helmet with head movement analysis using a Machine Learning algorithm.
- Proficiency in all phases of the product-research process. (Requirement analysis, Literature design, simulation, Hardware implementation, and development).
Assistant Professor at Anna University, India
June 2015 - Sep 2020
- Handled courses, including Digital Signal Processing, Biomechanics, and Circuits etc.
- Experienced academician, facilitating more than 400 undergraduate and 100 graduate students.
- Developed a non-invasive vascular parameter measuring device.
MY EDUCATION
MS Neural Engineering, University of Pittsburgh, PA, USA
January 2022 - December 2022
ME Biomedical Engineering, Anna University, India
September 2013 - May 2015
BE Electrical Electronics Engineering, Anna University, India
August 2009 - May 2013
KAGGLE CHALLNEGES
Frame-Level Speech Recognition
- Created a multilayer perceptron for a frame-level phonetic transcription of raw MFCCs.
To discriminate between each phoneme class label, the cross-entropy loss was used to
minimize the dissimilarity between output logits and the target labels.
Face Classification & Detection
- Implemented three deep neural networks, ConvNext, ResNet34 and Resnet50 for face image
classification and recognition,
which worked with a classification accuracy of 90% and a verification with 70%.
Automatic Speech recognition
- The speech vectors are transcribed to phonemes using the LSTM deep network,
and a Levenshtein distance of less than 5 is achieved.
Technical skills
- Python Libraries - Numpy, Pytorch, Tensor Flow, Matplotlib, Jupyter, Keras
- MATLAB Libraries - Signal Processing, Neural Networks, CSDPlotter, Image Processing
- Cloud Platform - AWS, Google collab, TPU
- Version Controlling - GitHub
- R-Lab, COMSOL, Ansys, EAGLE