Faculty
Faculty List
CH GUNALAKSHMI
MCA
Assistant Professor
IE&CT
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Educational Qualifications:
PG MCA 2023 FIRST JNTUGV 9.15
U.G B.SC(Computer Science) 2021 FIRST ANDHRA
UNIVERSITY 9.1
Intermediate M.P.C 2018 FIRST Board
of Intermediate Education 9.6
SSC SSC 2016 FIRST Board
of Secondary Education 9.5
Certifications/Achievements:
1. Qualified
UGC-NET in January 2025
2. Qualified
UGC-NET in September 2024
3. WIPRO
Certified .NET Full Stack Trainer
4. NPTEL-
Cloud Computing and Distributed Systems.
5. Codetantra-Java
Course for Placements
6. Power BI
Certification
Teaching Experience
Assistant Professor
-Centurion University of Technology and Management, Vizianagaram (September
2023– May 2025)
·
Taught undergraduate courses including C++
Programming, Data Analysis and Visualization Using Python, Data Structures and Operating Systems.
·
Guided students in practical applications
of Java applications.
·
Developed interactive course materials and
quizzes to enhance engagement.
Skills
Programming: Java, C, C++,Python
Web Development: .NET FullStack, HTML, CSS, JavaScript,NodeJs
Data Analysis: Power BI, pandas, NumPy, matplotlib
Operating Systems: Windows, Linux
Research Tools: LaTeX, Scopus database navigation
Research Experience: 01
YEAR 5 Months
Conferences
Attended:
1. IEEE Conference indexed in Scopus -attended in
December 2024 titled “Enhanced Counterfeit Currency Detection through
Multi-Fusion Techniques.” in Parlakhemundi.
2. IEEE Conference indexed in Scopus-attended in
December 2024 titled “Image Denoising Using Autoencoders.” in Parlakhemundi.
Research
Publications:
1. Enhancing image Aesthetics:A deep CNN approach
for Image Colorization(Web of Science,2024)
2. Comparitive Performance Analysis of Machine
Learning Methods for Classification Tasks(Web of Science,2024)
3. Comparitive Analysis of Advanced Clustering
Algorithms for Market Segmentatio-A Case Study on Mall Customer Data (Web of
Science,2024).
4. Stock Market Trading Strategies(Web of
Science,2024).
5. Stock Market Trading Strategies using Options
Chain(Web of Science,2024).
Patents: 02
1. Deep Learning- Driven Traffic Incident Detection and Road
Safety Enhancement System
2. Wearable IoT Device for Road User Safety with Machine
Learning- Based Gesture Recognition
Achievements
• Presented
papers at two Scopus-indexed IEEE Conferences.
• Maintained
consistent academic excellence with CGPA above 9.0 in all degrees.
• Mentored
over 10 students in project development and coding competitions.
Projects
Title: Fake
Currency Detection Using Multi-Fusion Techniques
Technologies: Python, OpenCV
Title: A Web
Application On Bus Pass Generation
Technologies: Html, Css, JavaScript, Mysql
CH GUNALAKSHMI
Educational Qualifications:
PG MCA 2023 FIRST JNTUGV 9.15
U.G B.SC(Computer Science) 2021 FIRST ANDHRA
UNIVERSITY 9.1
Intermediate M.P.C 2018 FIRST Board
of Intermediate Education 9.6
SSC SSC 2016 FIRST Board
of Secondary Education 9.5
Certifications/Achievements:
1. Qualified
UGC-NET in January 2025
2. Qualified
UGC-NET in September 2024
3. WIPRO
Certified .NET Full Stack Trainer
4. NPTEL-
Cloud Computing and Distributed Systems.
5. Codetantra-Java
Course for Placements
6. Power BI
Certification
Teaching Experience
Assistant Professor
-Centurion University of Technology and Management, Vizianagaram (September
2023– May 2025)
·
Taught undergraduate courses including C++
Programming, Data Analysis and Visualization Using Python, Data Structures and Operating Systems.
·
Guided students in practical applications
of Java applications.
·
Developed interactive course materials and
quizzes to enhance engagement.
Skills
Programming: Java, C, C++,Python
Web Development: .NET FullStack, HTML, CSS, JavaScript,NodeJs
Data Analysis: Power BI, pandas, NumPy, matplotlib
Operating Systems: Windows, Linux
Research Tools: LaTeX, Scopus database navigation
Research Experience: 01 YEAR 5 Months
Conferences Attended:
1. IEEE Conference indexed in Scopus -attended in
December 2024 titled “Enhanced Counterfeit Currency Detection through
Multi-Fusion Techniques.” in Parlakhemundi.
2. IEEE Conference indexed in Scopus-attended in
December 2024 titled “Image Denoising Using Autoencoders.” in Parlakhemundi.
Research Publications:
1. Enhancing image Aesthetics:A deep CNN approach
for Image Colorization(Web of Science,2024)
2. Comparitive Performance Analysis of Machine
Learning Methods for Classification Tasks(Web of Science,2024)
3. Comparitive Analysis of Advanced Clustering
Algorithms for Market Segmentatio-A Case Study on Mall Customer Data (Web of
Science,2024).
4. Stock Market Trading Strategies(Web of
Science,2024).
5. Stock Market Trading Strategies using Options
Chain(Web of Science,2024).
Patents: 02
1. Deep Learning- Driven Traffic Incident Detection and Road
Safety Enhancement System
2. Wearable IoT Device for Road User Safety with Machine
Learning- Based Gesture Recognition
Achievements
• Presented
papers at two Scopus-indexed IEEE Conferences.
• Maintained
consistent academic excellence with CGPA above 9.0 in all degrees.
• Mentored
over 10 students in project development and coding competitions.
Projects
Title: Fake
Currency Detection Using Multi-Fusion Techniques
Technologies: Python, OpenCV
Title: A Web
Application On Bus Pass Generation
Technologies: Html, Css, JavaScript, Mysql
