Dr.TADI CHANDRASEKHAR
Aditya University, ISTS WOMENS ENGINEERING COLLEGE, MANIPUR INTERNATIONAL UNIVERSITY, Manipal University Manipal Advanced Research Group, GIET ENGINEERING COLLEGE
About
Dr.TADI.CHANDRASEKHAR has completed under graduation in ECE from The Institution of Engineers(INDIA),Post-graduation in Embedded system design from Manipal University of Higher education and completed Ph.D in ECE from GITAM university. He is now working as Dean(Research & Development) in ISTS Women's engineering college, Rajanagaram. He having 24 years of teaching experience as faculty in various engineering colleges. He has worked as HOD from 2004 to 2021. He having Excellent research experience in Face recognition, ML&DL. He has published more than 30 papers in reputed Journals indexed by Scopus, WOS and UGC. He has conducted 10 workshops and 5seminars.He has guided more than 25 projects in UG and PG level. He has attended more than 15 FDPS and 5 NPTEL Courses.
Employment
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Aditya University ASSISTANT PROFESSOR2025 - Present
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ISTS WOMENS ENGINEERING COLLEGE PROFESSOR & HOD2020 - Present
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GIET ENGINEERING COLLEGE PROFESSOR & HOD2009 - 2020
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CIST ASSOCIATE PROFESSOR2008 - 2009
Education
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MANIPUR INTERNATIONAL UNIVERSITY POST-DOCTORATE2024 - Present
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Manipal University Manipal Advanced Research Group MS
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Improved Facial Identification Using Adaptive Neuro-Fuzzy Logic Inference System Save
- Neural Network Optimization-Based Facial Geometric Key Homomorphic Cloud Security Save
- Improved Facial Identification Using Adaptive Neuro-Fuzzy Logic Inference System Save
- Neural Network Optimization-Based Facial Geometric Key Homomorphic Cloud Security Save
- Automatic Health Care System to prevent all types of Tumors based on bacteria to enhance anti-Tumor immunotherapy using ARTIFICIAL INTELLIGENCE Save
- FACIAL GEOMETRIC KEY BASED HOMOMORPHIC CLOUD SECURITY USING NEURAL NETWORK OPTIMIZATION Save
- A Noval Method for Cloud Security and Privacy Using Homomorphic Encryption Based on Facial Key Templates Save
- A Novel Approach for Privacy protection in Cloud using Facial Key Template based Homomorphic Encryption Save
- Deep facial recognition by feature and pose analysis through facial key markers Save
- Recast Face Recognition Using Adaptive Neuro-Fuzzy Inference System Save