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Ms. Pritisha Sarkar | Computer Science | Young Scientist Award

Research scholar at NIT Durgapur, India.

Ms. Pritisha Sarkar is a dedicated researcher specializing in machine learning and deep learning within the realm of computer science. Her expertise spans conducting thorough literature reviews, designing and implementing experiments, and analyzing data using statistical methods and programming languages like Python, R, and Java. She applies advanced algorithms to solve complex problems in areas such as natural language processing and computer vision. Collaborative and innovative, Pritisha excels in interdisciplinary environments, contributing effectively to research teams. She communicates her findings effectively through scholarly publications and presentations, demonstrating a commitment to advancing knowledge and technology in her field.

Professional Profiles:

Education

Ms. Pritisha Sarkar is currently pursuing her Ph.D. in Computer Science at NIT Durgapur, focusing on machine learning and deep learning. She completed her B.Tech in Information Technology from the Government College of Engineering and Leather Technology under M.A.K.A.U.T, Kolkata, graduating in 2016 with a DGPA of 7.84. Continuing her academic journey, she pursued an M.Tech in Computer Science at the National Institute of Technical Teachers’ Training & Research, Kolkata, graduating in 2018 with a DGPA of 8.15. Pritisha’s educational background highlights her dedication to advancing her expertise in computer science, particularly in machine learning and deep learning.

Research Interest

Ms. Pritisha Sarkar’s research interests encompass machine learning and deep learning, particularly focusing on advanced algorithms, neural networks, and their applications in areas such as natural language processing, computer vision, and data analytics. Her academic pursuits and ongoing Ph.D. research at NIT Durgapur underscore her commitment to exploring these technologies and their practical implementations.

Research Skills

Ms. Pritisha Sarkar excels in a wide array of research skills cultivated throughout her academic and professional journey. Her expertise includes conducting comprehensive literature reviews to discern existing research trends and identify areas for exploration. She is adept at designing and executing experiments to validate hypotheses and advance scientific knowledge. Proficient in data analysis using statistical methods and programming languages like Python, R, and Java, she applies these skills to extract meaningful insights from complex datasets. Specializing in machine learning and deep learning, Pritisha employs advanced algorithms to address intricate challenges in domains such as natural language processing and computer vision. Her problem-solving abilities and analytical mindset enable her to innovate and develop impactful solutions. Collaborative by nature, she thrives in interdisciplinary environments, contributing effectively to research teams. Pritisha communicates her findings with clarity and precision through scholarly papers, presentations, and discussions, ensuring her research makes a significant impact in the field of computer science.

Publications

  • Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Volume: 16
    • Issue: 5
    • Pages: 2981–2985
  • Machine learning-based detection of sudden air pollutant level changes: impacts on public health
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Article in Press
  • Impact of bursting fireworks during Diwali in Durgapur suburb, India: A case study
    • Authors: P. Sarkar, M.K. Makkena, A. Bose, S. Saha, M. Saha
    • Conference: ACM International Conference Proceeding Series
    • Year: 2023
    • Pages: 384–389
    • Citations: 2
  • Analyzing the Severity of Air Pollution in an Industrialized Suburb
    • Authors: P. Sarkar, M.K. Makkena, S. Saha, M. Saha
    • Conference: 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023)
    • Year: 2023
  • City-wide Spatio-temporal Effect on AQI
    • Authors: P. Sarkar, S. Ahmed, A. Bose, S. Saha, M. Saha
    • Conference: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022)
    • Year: 2022
    • Pages: 13–18
    • Citations: 2
  • Nature-Inspired Computing Behaviour of Cellular Automata
    • Authors: M. Ghosh, P. Sarkar, M. Saha
    • Book: Lecture Notes in Electrical Engineering
    • Year: 2021
    • Volume: 694
    • Pages: 137–149
    • Citations: 1
  • An Intelligent Technique to Find Bicliques and its Application to Optimum Matching Problem
    • Authors: P. Sarkar, K. Giri
    • Conference: International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE 2020)
    • Year: 2020
    • Article ID: 9077790
    • Citations: 1

 

Pritisha Sarkar | Computer Science | Young Scientist Award

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