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Reviewer

000-516-743

Dr. C Anitha

Professor Department: Computer Science and Engineering Certificate Views : 604 Followers : 0



Name: Dr. C Anitha
Designation: Professor
Department: Computer Science and Engineering
Research Area: Computer Vision, Digital image Processing, Big Data
Organization: Saveetha School of Engineering
Contact: Contact Reviewer
Qualification: PhD
About: Dr. C Anitha is an accomplished computer scientist with a diverse and impressive academic journey. With a Ph.D. in Computer Science and Engineering, she has showcased remarkable dedication and expertise throughout her career. Dr. Anitha has held various significant roles in academia, including her current position as Professor in the Department of Computer Science and Engineering at Saveetha School of Engineering, SIMATS. Her leadership experience includes serving as Principal and Head of Department at M G College of Engineering, Trivandrum, where she made notable contributions. Dr. Anitha's impactful research in areas like low light image/video enhancement, deep learning, and artificial intelligence has earned her recognition and awards, including the Best Doctoral Thesis Award and Research Excellence Award. Her commitment extends beyond research, as she actively engages in service activities and holds advisory roles in professional conferences and committees. With an extensive publication and presentation record, she continues to shape the field through her innovative contributions. With a commitment to advancing her field, Dr. Anitha maintains active memberships in professional organizations. She is an Associate Member of IE (Institution of Engineers) and a Professional Member of InSc. Dr. Anitha's recent role as an editor for a book chapter on "Futuristic Trends in Artificial Intelligence" showcases her forward-thinking mindset. Her involvement in various capacities underscores her dedication to advancing the academic and research landscape in computer science.
Status:

Journal

Author: C.Anitha, & Mathusoothana S Kumar
Title: GEVE: A Generative Adversarial Network for Extremely Dark Image/Video Enhancement.
Publication Year:
ISSN:
Volume:
Issue:
2022
0167-8655
155
March 2022
Indexing: SCOPUS, SCI-E, ABCD-Index, 
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