– Research and Development: Working on the development of sound coding strategies for an optogenetic cochlear implant prototype, aiming to improve auditory experiences for patients.– Simulation: Simulating end-to-end computational framework to predict and compare the effectiveness of a novel hearing technology.– Collaboration: Collaborating with a multidisciplinary team of neuroscientists, engineers, biologists, and audiologists to align research goals with clinical applications.

– Framework Development: Developed an in-silico framework for the engineering and evaluation of future optogenetic cochlear implants, contributing to advancements in auditory neuroscience and medical technology. – Research and Presentation: Conducted extensive research and presented findings at multiple international conferences, enhancing the visibility and impact of the project.– Collaboration: Worked with interdisciplinary teams, including neuroscientists, engineers, biologists, and clinicians, to integrate diverse expertise and perspectives into the project.– Adaptability: Quickly adapted to new software, concepts, and methodologies, including audio processing, optical ray tracing, and neuron modelling, to successfully develop the framework.– Publications and Documentation: Authored two published papers and one in process, and maintained comprehensive documentation of research methodologies and findings, ensuring accuracy and reproducibility.

– Experimental Design: Designed and executed behavioural experiments to study the effect of fine structure and envelope features on ITD (Interaural Time Difference) sensitivity in rats with cochlear implants.– Animal Handling: Managed the handling and care of rats, ensuring ethical treatment and adherence to research protocols.– Data Analysis: Analyzed experimental data to draw meaningful conclusions and insights, contributing to the understanding of ITD sensitivity with cochlear implants.

– Implementation: Developed and implemented an automatic seizure detector algorithm with reduced electrode set and optimized implant position for responsive devices.– Data analysis: Analyzed extensive datasets to identify patterns and improve the performance of the patient-specific seizure detection algorithm.

– Data Collection and Analysis: Conducted detailed characterization of Multi-Electrode Arrays (MEAs), ensuring high-quality data collection and analysis.– Tutoring: Served as a tutor for the course “Neurophysiology I: Measurement and Analysis of Neuronal Activity,” assisting students in understanding complex neurophysiological concepts and techniques.

– Development: Contributed to the development of LTE Physical Layer solutions (using C/C++) and their realization on Digital Signal Processors, including automation of the processes (using Python).– Collaboration: Worked closely with cross-functional teams to ensure seamless integration and functionality of the developed solutions.

– Machine Learning: Extracted features from EEG signals (using Adaptive Autoregressive algorithm) and trained a classifier (Linear Discriminant Analysis) to recognize actual and intended movements of limbs, contributing to the brain-computer interface technology.– Robot Control: Implemented direction control of a robot based on EEG signal interpretation, enhancing the interaction between humans and machines. Additionally, worked on a staircase-climbing wheelchair-robot to improve accessibility for the differently-abled.

– Project Contribution: Worked on a quad-copter project, focusing on Arduino and RC communication, demonstrating technical skills and hands-on experience.– Implementation: Assisted in the design, development, and testing of the quad-copter, ensuring effective integration of hardware and software components.– Problem-Solving: Identified and resolved technical issues during the project, improving the stability of the quad-copter.

– Training: Completed intensive training in VLSI Design and FPGA Implementation, gaining foundational knowledge and hands-on experience in the field.– Implementation: Successfully designed and implemented a 4-bit microprocessor, demonstrating technical proficiency and problem-solving abilities.– Project Development: Managed all aspects of the microprocessor project, from initial design to final implementation, ensuring functionality and efficiency.– Learning and Adaptation: Quickly adapted to new technologies and tools, enhancing skills in VLSI and FPGA.