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DR. SOMA DATTA

ASSISTANT PROFESSOR

Dr. Soma Datta is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. She has completed her MTech (CSE), M.Sc. (CSE) B.Sc.(Hons. – CSE) from University of Calcutta. She has worked as a System Analyst for more than five years in Tata Consultancy Services Ltd. She has nine years of research experience and one year of teaching experience. She has also received Visvesvaraya Ph.D. fellowship sponsored by DST ; Government of India. She published more than 20 papers in reputed journals and conferences. She presented papers in different prestigious international conferences. She has also reviewed many reputed journal papers in her domain. Her research interests are Biomedical image analysis, Document image analysis and Pattern Recognition.

DR. SOMA DATTA biography

Dr. Soma Datta is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata. With a rich academic background and extensive industry experience, Dr. Datta brings a unique perspective to her role in academia.

Prior to joining Sister Nivedita University, Dr. Datta worked as a System Analyst at Tata Consultancy Services Ltd. for over five years, where she gained invaluable insights into practical applications of Computer Science and Engineering. Her industry experience complements her academic achievements and enhances her ability to mentor students effectively.

Dr. Datta holds a Ph.D. degree and M.Tech (CSE), M.Sc. (CSE), and B.Sc. (Hons. – CSE) degrees from the University of Calcutta. She is a recipient of the prestigious Visvesvaraya Ph.D. fellowship sponsored by the Department of Science and Technology (DST), Government of India, which reflects her commitment to cutting-edge research in her field.

Her academic journey is marked by over nine years of dedicated research experience and a year of teaching experience, during which she has published more than 20 papers in reputed journals and presented papers at various esteemed international conferences. Dr. Datta is actively involved in reviewing papers for renowned journals, contributing to the advancement of knowledge in Biomedical Image Analysis, Document Image Analysis, and Pattern Recognition.

Dr. Datta's research interests span several critical areas of Computer Science and Engineering, focusing particularly on leveraging advanced computational techniques to solve complex problems in biomedical and document image analysis. Her expertise and contributions to the field underscore her role as a catalyst for innovation and academic excellence at Sister Nivedita University.

 

Best Skills

  • Biomedical Image Analysis: Expertise in developing algorithms and methodologies for analyzing biomedical images to aid in medical diagnostics and research.
  • Document Image Analysis: Proficiency in techniques for processing and analyzing document images, including OCR (Optical Character Recognition) and document layout analysis.
  • Pattern Recognition: Knowledge of designing and implementing pattern recognition algorithms for various applications, including image processing and machine learning.
  • Research and Publication: Extensive experience in conducting research, publishing papers in reputed journals, and presenting at international conferences.
  • Teaching and Mentoring: Skillful in delivering lectures, designing course curriculum, and mentoring students in Computer Science and Engineering disciplines.
  • Industry Experience: Practical understanding of industry practices and applications in Computer Science gained from over five years at Tata Consultancy Services Ltd.
  • Visvesvaraya Ph.D. Fellowship: Recognized for academic excellence and research contributions with the Visvesvaraya Ph.D. fellowship sponsored by DST, Government of India.
  • Data Analysis: Strong analytical skills for interpreting data, conducting experiments, and deriving meaningful insights in research projects.
  • Peer Review: Experience in reviewing manuscripts for reputed journals, contributing to the scholarly peer review process in her domain.
  • Problem-solving Skills: Aptitude for identifying and addressing complex challenges in Computer Science through innovative approaches and methodologies.