Pritisha Sarkar | Computer Science | Young Scientist Award

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

 

SARTHIKA DUTT | Computer Science | Best Researcher Award

Mrs. SARTHIKA DUTT | Computer Science | Best Researcher Award

Assistant Professor at UPES, India.

Mrs. Sarthika Dutt is a dedicated professional with a passion for innovation and research in the field of Computer Science Engineering. Her academic journey has been marked by outstanding achievements, including a Ph.D. in Computer Science Engineering from the University of Petroleum and Energy Studies (UPES). With a Master’s degree from GRD (IMT) Institute of Management and Technology and a Bachelor’s degree from Beehive College of Engineering and Technology, Mrs. Dutt has cultivated a strong foundation in her field. Her research interests span Artificial Intelligence, Machine Learning, and Computer Vision, where she explores applications to address real-world challenges. Mrs. Dutt’s expertise also extends to Digital Technologies, Website Design, and the Internet of Things. As an Assistant Professor and Research Coordinator at the College of Engineering Roorkee (COER), she mentors students and leads research initiatives, contributing to the advancement of knowledge and innovation in Computer Science Engineering.

Professional Profiles:

Education

Mrs. Sarthika Dutt has pursued a diverse educational journey, starting with her Bachelor’s degree in Computer Science Engineering from Beehive College of Engineering and Technology, Uttarakhand Technical University (UTU), which she completed in July 2016 with an impressive aggregate of 73%. Building on this foundation, she furthered her academic pursuits with a Master’s degree in Computer Science Engineering from GRD (IMT) Institute of Management and Technology, UTU, achieving a commendable aggregate of 77% in July 2018. Currently, Mrs. Dutt is engaged in doctoral research at the University of Petroleum and Energy Studies (UPES), where she is pursuing her Ph.D. in Computer Science Engineering since June 2019, demonstrating her dedication to advancing her expertise in the field. Alongside her academic endeavors, Mrs. Dutt has also excelled in her secondary and higher secondary education, obtaining impressive scores in both the Higher Secondary School Certificate (HSSC) and Secondary School Certificate (SSC) examinations conducted by the Central Board of Secondary Education (CBSE) in May 2012 and May 2010, respectively. Additionally, Mrs. Dutt has achieved notable academic milestones, including qualifying the National Eligibility Test (NET) conducted by the National Testing Agency (NTA) in December 2019 and securing a commendable rank in the All India Engineering Entrance Examination (AIEEE) in 2012. Throughout her educational journey, Mrs. Sarthika Dutt has demonstrated a steadfast commitment to academic excellence and a passion for advancing her knowledge and skills in the field of Computer Science Engineering.

Professional Experience

Mrs. Sarthika Dutt brings a wealth of expertise and dedication to her professional roles, marked by a trajectory of growth and impact. Currently serving as an Assistant Professor and Research Coordinator at the College of Engineering Roorkee (COER) since July 2022, she plays a pivotal role in shaping the next generation of engineers while spearheading research initiatives in the Department of Computer Science and Engineering. Her responsibilities encompass curriculum development, classroom instruction, and mentoring students in their research endeavors. Prior to her current position, Mrs. Dutt honed her skills and knowledge during her tenure as a trainee at Ezperienza Technologies in 2015, where she contributed to website development projects, showcasing her proficiency in web technologies. Additionally, Mrs. Dutt has garnered valuable research experience as a Junior Research Fellow at the University of Petroleum & Energy Studies (UPES), Dehradun, from October 2020. Engaged in a funded project by the Department of Science and Technology (DST), Government of India, she led the development of an Intelligent Tutoring System aimed at assisting children with learning disabilities such as Dyslexia, Dysgraphia, and Dyscalculia. Her role involved extensive field surveys, system design and development, website development, and comprehensive documentation, highlighting her multidisciplinary expertise and commitment to impactful research. Throughout her professional journey, Mrs. Sarthika Dutt has demonstrated a keen ability to integrate academic knowledge with practical skills, making significant contributions to both academia and research in the field of Computer Science Engineering.

Research Interest

Mrs. Sarthika Dutt’s research interests lie at the intersection of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision, where she focuses on leveraging these technologies to solve real-world problems in domains such as healthcare, education, and environmental sustainability. Additionally, she explores Digital Technologies, including Website Design and Development, and the Internet of Things (IoT), aiming to create user-friendly and scalable solutions. Mrs. Dutt is also passionate about designing innovative tools for individuals with learning disabilities, aiming to enhance accessibility and academic achievement. Through her interdisciplinary approach, she seeks to drive positive change and shape the future of technology-enabled solution.

Award and Honors

Throughout her academic and professional journey, Mrs. Sarthika Dutt has earned recognition and accolades for her exceptional contributions and achievements in the field of Computer Science Engineering. Notably, she was awarded the prestigious National Eligibility Test (NET) qualification by the National Testing Agency (NTA) in December 2019, affirming her expertise and proficiency in her chosen field of study. Additionally, Mrs. Dutt’s outstanding performance in the All India Engineering Entrance Examination (AIEEE) in 2012 exemplifies her academic excellence and aptitude for engineering. Furthermore, her active engagement in research projects, including her role as a Junior Research Fellow in a funded project by the Department of Science and Technology (DST), Government of India, underscores her dedication to advancing knowledge and innovation. As an Assistant Professor and Research Coordinator at the College of Engineering Roorkee (COER), Mrs. Dutt continues to inspire and mentor aspiring engineers, further cementing her reputation as a dynamic and accomplished professional in the field.

Research Skills

Mrs. Sarthika Dutt possesses a robust skill set in research, honed through her academic and professional journey in Computer Science Engineering. She adeptly identifies research problems, conducts comprehensive literature reviews, and designs and executes experiments with precision. With strong programming skills in Python, C/C++, and Java, coupled with expertise in data analysis tools like Pytorch and TensorFlow, she extracts meaningful insights from research data. Mrs. Dutt excels in technical writing, producing high-quality research papers and reports. Her project management abilities ensure the smooth execution of research projects, while her collaborative nature fosters effective teamwork and communication. Overall, her proficiency in problem-solving, data analysis, programming, and communication equips her to contribute significantly to advancing knowledge and innovation in her field.

Publications

  1. Blockchain for unmanned underwater drones: Research issues, challenges, trends and future directions
    • Authors: Kumar, A., Ahuja, N.J., Thapliyal, M., Konstantinou, C., Raymond Choo, K.-K.
    • Year: 2023
    • Citations: 8
  2. Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions
    • Authors: Suyal, P., Gola, K.K., Kanauzia, R., Mridula, Mohan, L.
    • Year: 2023
    • Citations: 0
  3. Detection of Diabetic Retinopathy using Transfer Learning
    • Authors: Gupta, H., Arora, N., Dutt, S., Gulati, A., Gulati, A.
    • Year: 2023
    • Citations: 0
  4. Multilayer Perceptron-Based Speech Emotion Recognition for Identifying the Problematic Skills of Dyslexic Learners
    • Authors: Dutt, S., Kanauzia, R., Aditi, Bartwal, H.
    • Year: 2023
    • Citations: 0
  5. Reliability and Validity of Survey Questionnaires for Identifying Learning Disabilities in an Intelligent Tutoring System
    • Authors: Ahuja, N.J., Dutt, S., Arya, S.
    • Year: 2023
    • Citations: 0
  6. Comparison of Data Collection Models in an Intelligent Tutoring System for the Inclusive Education of the Learning-Disabled
    • Authors: Dutt, S., Ahuja, N.J.
    • Year: 2023
    • Citations: 0
  7. An intelligent tutoring system architecture based on fuzzy neural network (FNN) for special education of learning disabled learners
    • Authors: Dutt, S., Ahuja, N.J., Kumar, M.
    • Year: 2022
    • Citations: 19
  8. An Agile Review of Machine Learning Technique
    • Authors: Suyal, P., Dutt, S., Sharma, R., Mohan, L.
    • Year: 2022
    • Citations: 2
  9. An Investigative Study of Long-Term Implication of Extended Reality Applications in Educational Pursuits for Learning-Disabled Population: A Recommendation Approach
    • Authors: Dutt, S., Sharma, R., Suyal, P., Thapliyal, M.
    • Year: 2022
    • Citations: 0
  10. Robotic Advancements in Business Process Automation using Artificial Intelligence: An Investigative Study
    • Authors: Sharma, R., Bharadwaj, S., Dutt, S., Tomar, M.
    • Year: 2022
    • Citations: 0