Merry Ray| Geological | Education | Best Researcher Award

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Mrs. Merry Ray| Geological | Education | Best Researcher Award

Central University of Rajasthan, India.

Merry Ray is a dedicated Ph.D. student with a focus on education, mathematics, and research methodologies. Currently in her third year of Ph.D. studies, she holds a Master’s degree in Education and has gained extensive experience as a mathematics teacher in various schools across India. Merry’s academic journey spans qualifications like UGC NET JRF in Education and a Master’s in Education with a top score. She has contributed to educational research and written a chapter for an international publication. Apart from academics, she is also skilled in the Japanese language, having passed the NAT-Japanese test. Merry is passionate about exploring the intersections of education, culture, and resilience through research.

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Scholar

πŸŽ“ Education

Merry Ray’s academic qualifications reflect her dedication to education and research. She completed her M.Sc. in Mathematics with distinction from the Regional Institute of Education Mysore, followed by a B.Sc.Ed. (PCM) with honors. She achieved the highest score in her Master’s program in Education from IGNOU, along with a UGC NET JRF in Education in 2020. Merry has also passed the Japanese Language NAT-Test (Level 5) and completed various other certifications, including a First Step Korean course at Yonsei University. She holds multiple degrees, including Post Graduate Diploma in School Leadership and Management and a CTET qualification. Her educational background is complemented by significant research and teaching experiences in diverse settings, which inform her doctoral studies.

πŸ§‘β€πŸ« Experience

Merry Ray has extensive professional experience as a mathematics teacher, spanning over five years at prominent schools in India. She worked as a T.G.T. Maths teacher at Sainik School Balachadi, Jamnagar, and as a P.G.T. in various schools including Kendriya Vidyalaya and Rabindra Vidya Niketan. Her experience also includes serving as a house warden and managing a maths lab at Rungta Public School. Additionally, she has completed several internships in educational settings, involving high school and senior secondary students. Her role also extended to organizing and conducting teacher training programs, which enhanced her leadership and educational management skills. She has participated in research and training programs in education, reflecting her commitment to professional development.

πŸ† Awards and Honors

Merry Ray has been recognized for her outstanding academic achievements and extracurricular contributions. She was awarded the UGC NET-JRF Fellowship in Education in 2020, topping the subject in India. She was a university topper in her M.Sc. Mathematics program at the Regional Institute of Education Mysore and also secured the highest score in her MA Education from IGNOU. In addition, Merry has been honored with numerous prizes, including university-level accolades for speech, essay writing, and creative writing. She also received recognition for her participation in various events like mime and creative writing competitions. Her achievements reflect a combination of academic excellence and creative talents. She has also been recognized for passing the CTET exam, further cementing her credentials in education.

πŸ”¬ Research Focus

Merry Ray’s research focuses on the intersection of education, culture, and resilience, drawing inspiration from the works of Kenji Miyazawa. She has published a chapter in an international book on disaster and environment, discussing philosophical perspectives on knowledge, culture, and disaster management. Her research also delves into the role of values and knowledge in resilience, particularly through literature and storytelling, as highlighted in her paper β€œStrength from Resilience.” She has actively participated in virtual conferences and online programs, contributing to the field of education through innovative methodologies and practices. Her research interests are deeply connected to her teaching experience, blending educational theory with practical approaches to enhance resilience in education systems. Merry’s commitment to cross-cultural research is further demonstrated by her academic contributions in international journals like the Asia Pacific Journal – Japan Focus.

Conclusion 

Merry Ray is an exceptional candidate for the Best Researcher Award. Her academic achievements, combined with her dedication to research, particularly in education, disaster management, and cultural studies, make her an asset to the academic community. Her publications in well-regarded journals, such as the Asia Pacific Journal and the Journal of Poetry Therapy, alongside her participation in international conferences, reflect her potential to make significant contributions to her fields of expertise. Merry’s passion for learning, cross-cultural research, and her ongoing commitment to personal and professional development positions her as a promising scholar with the potential for greater impact in the future.

πŸ“šPublications 

  1. Strength from Resilience: Harnessing Values and Knowledge through the Poem and Story by Miyazawa Kenji
    Authors: S.B. Prof. Anjali Sharma, Merry Ray
    Journal: Journal of Poetry Therapy (2024)

 

  1. Kenji’s International School Echoes with the Voices of β€œSirbuba’’: An Interview with Nandu Uprety
    Authors: M.R. Dr. Anjali Sharma
    Journal: Asia-Pacific Journal, Japan Focus, 22(9) (2024)

 

  1. People, Culture, Knowledge, and Skill: A Philosophical Approach to Disaster and Environment (With Special Reference to the Works of Kenji Miyazawa)
    Authors: A. Sharma, M. Ray
    Book Title: Challenges, Strategies, and Resiliency in Disaster and Risk Management, pp. 97-127 (2024)

 

Anuradha Laishram | Computer vision | Best Researcher Award

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Dr. Anuradha Laishram | Computer vision | Best Researcher Award

Doctorate at National Institute of Technology Manipur, India

Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.

profile:

Scopus Profile

πŸŽ“ Education

  • Ph.D. in Computer Science and Engineering
    • University: National Institute of Technology Manipur
    • Year of Award: 2022
    • Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
  • Master of Engineering in Computer Science and Engineering
    • University: UVCE, Bangalore University
    • Year of Passing: 2011
    • Percentage: 79.8%
    • Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
  • Bachelor of Engineering in Computer Science and Engineering
    • University: Visvesvaraya Technological University, Belgaum
    • Year of Passing: 2008
    • Percentage: 64.5%
  • Other Educational Achievement:
    • Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.

Professional Experience

Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.

πŸ”¬ Research

Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.

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