Benevolent researcher Chirantan Gosh channels his entrepreneurial spirit into social welfare


1 / 1
Chirantan Ghosh, researcher and computer science scholar

August 8

A computer scientist interested in computer vision, data science, machine learning and robotics, Chirantan Ghosh has devoted most of his life to finding solutions to societal and scientific problems. Chirantan Ghosh’s journey is synonymous with passion, perseverance and humanity.

Ghosh found his interest in research work while pursuing a master’s degree at the New Jersey Institute of Technology in Information Systems. A man of courage and determination, he quickly enrolled in another master’s program in computer science at the University of Delaware. Ghosh has channeled his passion for research into solving complex environmental, scientific and societal obstacles.

“Every young person is an asset to their society. Not everyone is privileged in this world, and achievements must be carved out of situations. People can channel their achievements for profit or use them for the welfare of the society. It all depends on the path one chooses. But the satisfaction and self-respect that comes from serving for the greater good of society is unparalleled,” said Chirantan Ghosh.

The journey began while pursuing his master’s degree at the University of Delaware when Chirantan Ghosh was working on a project named “The National Oceanic and Atmospheric Administration (NOAA)” by the US government. This involves predicting the runoff event and its magnitude to alert farmers.

Surface runoff mainly occurs due to heavy rainfall causing the leaching of nutrients into water bodies. It affects both the economy and the environment. This negatively affects crop production and profits due to loss of nutrients from agricultural fields. It also pollutes water, causing harmful algal blooms and hypoxia in water bodies in the Great Lakes region. Thus, the warning system is essential to prevent water pollution by mitigating the efforts, costs and time of farmers. The existing physics-based model used by NOAA does not show good performance.

Therefore, his research aimed to improve performance by using a machine learning algorithm and prediction of the risk level of surface runoff. Ghosh predicts that this research can evolve into deep learning and has scope for improvement to improve model performance.

With his thirst for knowledge and determined mindset, Chirantan worked on another project for the National Institutes of Health (NIH), the US government. In this project, he used the deep learning-based multi-segmentation method to segment tiny RNA cells. This automates the process, reduces the complexity of manual cell wall segmentation, and minimizes errors and time.

These research experiences motivated him to pursue his studies for a PhD in computer vision and deep learning at Lehigh University beginning in the fall of 2022. Chirantan will once again do research at Lehigh that will benefit the society. One of his research projects will be to identify fake news or videos among the plethora of online news available as video or image content. This will help prevent or control the spread of false information on the web and stop any damage that occurs.

His research skills and entrepreneurial spirit led him to think of creating a startup called Camai.us, which is in its infancy. Camai.us plans to solve any object detection or identification problem like Google Lens but with better accuracy and on any device with a camera.

Chirantan’s concern for society and women’s safety prompted him to think about creating another organization named Hap.ai which will use computer vision and deep learning-based surveillance methods to detect and identify any threat and alert the appropriate organization on the matter in question. This will help overcome most of the challenges and safety issues related to women and promote a safe and healthy society.

To learn more, visit: https://chirantanghosh.com/

Benevolent researcher Chirantan Gosh channels his entrepreneurial spirit into social welfare

Chirantan Ghosh, researcher and computer science scholar

August 8: A computer scientist interested in computer vision, data science, machine learning, and robotics, Chirantan Ghosh has devoted most of his life to finding solutions to societal and scientific problems. Chirantan Ghosh’s journey is synonymous with passion, perseverance and humanity.

Ghosh found his interest in research work while pursuing a master’s degree at the New Jersey Institute of Technology in Information Systems. A man of courage and determination, he quickly enrolled in another master’s program in computer science at the University of Delaware. Ghosh has channeled his passion for research into solving complex environmental, scientific and societal obstacles.

“Every young person is an asset to their society. Not everyone is privileged in this world, and achievements must be carved out of situations. People can channel their achievements for profit or use them for the welfare of the society. It all depends on the path one chooses. But the satisfaction and self-respect that comes from serving for the greater good of society is unparalleled,” said Chirantan Ghosh.

The journey began while pursuing his master’s degree at the University of Delaware when Chirantan Ghosh was working on a project named “The National Oceanic and Atmospheric Administration (NOAA)” by the US government. This involves predicting the runoff event and its magnitude to alert farmers.

Surface runoff mainly occurs due to heavy rainfall causing the leaching of nutrients into water bodies. It affects both the economy and the environment. This negatively affects crop production and profits due to loss of nutrients from agricultural fields. It also pollutes water, causing harmful algal blooms and hypoxia in water bodies in the Great Lakes region. Thus, the warning system is essential to prevent water pollution by mitigating the efforts, costs and time of farmers. The existing physics-based model used by NOAA does not show good performance.

Therefore, his research aimed to improve performance by using a machine learning algorithm and prediction of the risk level of surface runoff. Ghosh predicts that this research can evolve into deep learning and has scope for improvement to improve model performance.

With his thirst for knowledge and determined mindset, Chirantan worked on another project for the National Institutes of Health (NIH), the US government. In this project, he used the deep learning-based multi-segmentation method to segment tiny RNA cells. This automates the process, reduces the complexity of manual cell wall segmentation, and minimizes errors and time.

These research experiences motivated him to pursue his studies for a PhD in computer vision and deep learning at Lehigh University beginning in the fall of 2022. Chirantan will once again do research at Lehigh that will benefit the society. One of his research projects will be to identify fake news or videos among the plethora of online news available as video or image content. This will help prevent or control the spread of false information on the web and stop any damage that occurs.

His research skills and entrepreneurial spirit led him to think of creating a startup called Camai.us, which is in its infancy. Camai.us plans to solve any object detection or identification problem like Google Lens but with better accuracy and on any device with a camera.

Chirantan’s concern for society and women’s safety prompted him to think about creating another organization named Hap.ai which will use computer vision and deep learning-based surveillance methods to detect and identify any threat and alert the appropriate organization on the matter in question. This will help overcome most of the challenges and safety issues related to women and promote a safe and healthy society.

To learn more, visit: https://chirantanghosh.com/