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SLIIT International Conference on advancement in
sciences & Humanities


The Faculty of Humanities and Sciences of SLIIT proudly announces SICASH 2021, the annual research conference of the Faculty, which will be held for the second consecutive year on 3rd and 4th December 2021 as a hybrid event.

SICASH aims at providing a platform for renowned and emerging scholars, both local and international, to showcase their subject-specific and multidisciplinary research in the areas of Natural Sciences, Law, Education, English Language & Literature, Nursing, and Psychology.

The sub-themes of SICASH 2021 in each research area are listed below:

  • Developments in Biotechnology
  • New trends in Molecular Biology
  • Environmental remediation
  • Value addition to natural products
  • Energy revolution
  • Green science
  • Food and nutrition
  • Applied physics

Law reform for betterment of humanity in the areas of

  • Public law
  • Commercial law
  • Private law
  • International law
  • Comparative law
  • Teaching and learning
  • Language education
  • Classroom management
  • Learning theories
  • ICT for education
  • 21st century learner and the teacher
  • Teaching and learning English as a second language in the 21st century and beyond.
  • English for academic and specific purposes in the digital era.
  • ELT syllabus, teaching materials, and assessments.
  • Computer assisted language teaching and learning.
  • Contemporary teaching methods in language and literature classrooms.
  • Gender, social and cultural identity in English literature.
  • Voices of colonial, post-colonial, and neocolonial literature in English.
  • Health promotion and disease prevention
  • Advances in disease diagnostics and treatment
  • Clinical nursing
  • Nursing education and research
  • Nursing management/trends and issues in nursing
  • Nutrition
  • Mental health nursing
  • Clinical and counselling psychology
  • Work psychology
  • Health psychology
  • Social and personal psychology
  • Educational psychology
  • Buddhist psychology and counselling
  • Actuarial Mathematics
  • Mathematical/Statistical modelling
  • Time series analysis
  • Multivariate data mining
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