Vamiq Mustahsan, Ph.D.

Vamiq Mustahsan, Ph.D. has extensive work experience in various fields. Vamiq currently works as a Mechanical Design Engineer (Research and Development) at Arradiance, LLC since 2023. Prior to that, they served as a Graduate Research Assistant at Stony Brook University from 2016 to 2022. In this role, they developed applications using machine learning and signal processing techniques to classify tissue types and assisted surgeons in identifying tumor sites during surgery. Vamiq also served as the Chair for Policy Action at Stony Brook University Graduate Student Organization from 2020 to 2021, advocating for issues affecting graduate students. Additionally, they worked as a Resident Assistant at Stony Brook University from 2017 to 2020, ensuring safe and inclusive communities within the residence halls. Furthermore, Vamiq worked as an Assistant Program Coordinator at Stony Brook Medicine from 2016 to 2020 and as a Graduate Teaching Assistant at the National IT Industry Promotion Agency in 2015. Vamiq also has experience as an Energy Efficiency Engineer at the Confederation of Indian Industry from 2013 to 2014, where they conducted efficiency audits and measurement & verification studies in various industries.

Vamiq Mustahsan, Ph.D. received their Bachelor of Technology (BTech) degree in Mechanical Engineering from Jawaharlal Nehru Technological University from 2009 to 2013. Vamiq then pursued a Master's degree in Mechanical Engineering at Stony Brook University from 2014 to 2016. Following this, Vamiq obtained their Doctor of Philosophy (Ph.D.) in Mechanical Engineering from Stony Brook University from 2016 to 2022.

In addition to their formal education, Vamiq also obtained various certifications. In December 2020, they completed the "Machine Learning" certification from Coursera. In January 2021, they obtained the "Neural Networks and Deep Learning" certification from Coursera. In July 2022, Vamiq completed the certifications for "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization" and "Structuring Machine Learning Projects" from Coursera. In August 2022, they obtained the "Convolutional Neural Networks" certification, and in September 2022, they completed the "Sequence Models" certification, both from Coursera. Finally, in October 2022, Vamiq obtained the "Deep Learning Specialization" certification from Coursera. Additionally, in March 2023, they completed the "Cert Prep: Certified SOLIDWORKS Associate" certification from LinkedIn Learning.