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Ms. Moumita Ghosh
Ms. Moumita Ghosh
Assistant Professor
Information Technology
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Ms. Moumita Ghosh
Ms. Moumita Ghosh
Assistant Professor
Information Technology
Quick Stats
10 yrsTeaching
Industry
8Papers
2Journals
0PhD
0M.Tech
Contact & Info
Phone
6294520107
Qualification
M.Tech
Specialization
Machine Learning
Patents
1
About Moumita Ghosh

My name is Moumita Ghosh, and I am currently serving as an Assistant Professor at Haldia Institute of Technology. I completed my B.Tech. in Information Technology from Maulana Abul Kalam Azad University of Technology (formerly known as West Bengal University of Technology) in 2010, followed by an M.Tech. in Computer Science and Engineering in 2013.
I possess five years of research experience at Calcutta University under the prestigious Visvesvaraya Ph.D. Scheme for Electronics and IT and am presently pursuing my Ph.D. from the same institution. Over the course of my career, I have accumulated more than a decade of experience in teaching and research.
Throughout this period, I have gained proficiency in programming languages such as C, Java, Python, and R, along with a strong foundation in core subjects including Computer Organization and Architecture, Digital Electronics, Computer Networks, and Operating Systems. In addition, I have developed expertise in advanced areas such as Artificial Intelligence, Machine Learning, Deep Learning, and Reinforcement Learning.
My research interests are primarily centered around Machine Learning and Activity-Based Recognition utilizing IoT systems. To date, I have published eight research works, including contributions to conferences, journals, and a patent.

Publications & Patents
8Total
2Journals
5Conferences
Research Interests
Activity RecognitionMachine LearningIoTDeep Learning
Editorial Boards
Journal of Ambient Intelligence and Smart Environments
Notable Achievements
Received Visvesvaraya Scholarship
Courses Currently Teaching
Machine Learning
Data Mining
Artificial Intelligence
Python
Computer Organization
Digital Electronics
Professional Memberships
ACM- 9837132
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