Dr. N. Karthick
M.Sc.,MCA.,M.Phil.,Ph.D
M.Sc. Artificial Intelligence and Machine LearningTeaching Responsibilities
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Syllabus In-Charge
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SPOC – Internal Smart India Hackathon (SIH 2019)
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Institution Innovation Council (IIC) Department Coordinator
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India Today Ranking Department Coordinator
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Jury Member – Smart India Hackathon (SIH 2021)
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Innovation Ambassador
Academic background
Ph.D. in Computer Science, PSG College of Arts and Science, Coimbatore (2025)
M.Phil. in Computer Science, Sri Jayendra Saraswathy Maha Vidyalaya College (2020)
Master of Computer Applications (MCA), Bharathiar University (2017)
M.Sc. in Computer Science, PSG College of Arts and Science (2016)
Bachelor of Computer Applications (BCA), Sri Krishna Arts and Science College (2014)
Awards
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Medical Image Analysis for Gynecological Cancer Detection
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Endometrial Cancer Diagnosis Using Deep Learning Techniques
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Feature Entanglement–Based Image Generation for Data Augmentation
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Digital Teaching and Learning Innovations
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Educational Technology and Online Pedagogy
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Design Thinking in Education and Problem-Based Learning
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Technology-Enabled Skill Development and Employability
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Soft Skills and Personality Development through E-Learning
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ICT Tools for Teaching, Learning, and Assessment
Research Interest
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Recipient of the Digital Teaching and Learning Innovator Award (2025) by Coursera.
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Mentor for NPTEL online courses, including Design Thinking – A Primer (2025) and Developing Soft Skills and Personality (2024).
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Awarded Best Faculty Award (2022) by Sri Krishna Arts and Science College.
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Served as Jury Member (Internal) for the Smart India Hackathon (2020) at VLB Janakiammal College of Arts and Science.
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Certified as an ICT Academy Trainer in Designing (2018).
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Recipient of the Best Paper Award (2018) from Karpagam Academy of Higher Education.
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Recognized for academic excellence as UG Class Topper (2014) at Sri Krishna Arts and Science College.
Area Of Specialization
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Deep Learning and Artificial Intelligence
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Medical Image Analysis and Multimodal MRI Processing
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Endometrial Cancer Detection using AI
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Transformer-based U-Net Architectures
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Feature Entanglement and Attention Mechanisms
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Computer-Aided Diagnosis (CAD) Systems