Mr. Satyanarayana Pukkalla

Mr. Satyanarayana Pukkalla

Assistant Professor

Computer Science and Engineering M.Tech (Ph.D) Computer Science and Technology [email protected]
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DepartmentComputer Science and Engineering
DesignationAssistant Professor
Educational QualificationM.Tech (Ph.D)
SpecializationComputer Science and Technology
Area of InterestCD, FLAT, ML, CN, DWDM
Email[email protected]
QualificationFull FormSpecialization / Details
M.TechMaster of Technology(Ph.D)
——Computer Science and Technology
Area of Interest—CD, FLAT, ML, CN, DWDM

Scopus Journals

1 Publication
S.No Name of Publication Link
1 Use of ICT for effective management in higher education institutions, YMER - An International Peer-Reviewed Journal, DOI: 10.37896/YMER22.09/17, Scopus Click Here
Research Profile Researcher ID
Vidwan ID Not Available
ORCID ID Not Available
Scopus Author ID Not Available
Google Scholar Profile Not Available
S.NoConference DetailsIndexing
No Conference Publications information available.
No Patents information available.
S.NoTitle of the BookPublisherYear of publicationISSN / ISBN No.View
1 Software Testing — — 978-93-91987-17-6 —
S.NoEvent / Training / Participation
1Conference Presentations
IoT Intrusion Detection System for Vehicle and Emission Monitoring: Enhancing Cyber security in Connected Transportation, 6th IEEE International Conference on Cybernetics, Cognition and ML Applications, ICCCMLA 2024; Very Deep Convolutional Network Model for Automated Kidney Image Segmentation, International Conference on Emerging Trends in Computational Intelligence and Applications, EICTA 2023
S.No Category Details
1 Professional Membership Computer Society of India - Member (5081260016); Institute of Educational Research and Publication - Professional Member (95248828)
2 Other Information Patent: Enhancing language learning through technology-infused instruction, Application ID 202441018918, Date: 15/03/2024, Status: 29/03/2024. Project: Lung Cancer Detection from CT or X-Ray Using Machine Learning Models. Roles: Admission Committee Incharge at Institute Level (2022 - Till date); Anti-Ragging and Discipline Committee Member at Institute Level (2020 - Till date); Admission Committee Incharge at Department Level (2022 - Till date); Anti-Ragging and Discipline Committee Member at Department Level (2020 - Till date). Events & Training: AI Tools and Techniques - JNTU-GV; 8-weeks Internship on Salesforce Developer; 2-weeks Soft Skills Training; 5-days Faculty Development Program on BlueMix Enablement Program organized by IBM at AIET, Tagarapuvalasa; 3-days Faculty Development Program on Recent Advances in Data Mining and Data Ware Housing in 2012 organized by ARTB, Bhogapuram.