Title Page
విజ్ఞాన శాస్త్ర సాంకేతిక పరిశోధనా సంస్థ / विज्ञान शास्त्र प्रौद्योगिकी और परिशोधन संगठन
Transforming Ideas into Digital Realities
The Department of Computer Applications stands at the forefront of technological advancement, where creativity meets computation. With a vision to empower students and faculty alike, the department fosters a culture of innovation, problem-solving, and digital excellence.

Through hands-on learning, real-time projects, and exposure to the latest tools and technologies, we turn abstract ideas into functional digital solutions. Whether it's application development, data analysis, or automation, our programs equip learners with the skills and mindset needed to meet modern-day digital challenges.
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Cultivation of Tomato under IoT system at VIAT farm
Tomato cultivation using IoT-enabled moisture-based drip irrigation systems provides students with practical exposure to modern precision agriculture and smart farming technologies. In this system, soil moisture sensors are installed in the field to continuously monitor soil water levels and transmit real-time data to a controller or cloud platform. When the soil moisture falls below the required threshold, the system automatically activates the drip irrigation network, and irrigation stops once the desired moisture level is reached. This automated irrigation scheduling ensures that tomato plants receive the required amount of water at the right time, preventing both water stress and excessive irrigation.
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Thrust Areas
Data Science & Analytics
  • Data Visualization and Dashboarding (Power BI, Tableau)
  • Big Data Technologies (Hadoop, Spark)
  • Statistical Analysis and Predictive Modeling
  • Business Intelligence and Decision Support Systems
  • Data Mining and Knowledge Discovery
Software Development & Application Engineering
  • Full Stack Web Development (Frontend & Backend)
  • Mobile App Development (Android & iOS)
  • Desktop Application Development
  • Low-Code/No-Code Platforms
  • DevOps and Agile Software Lifecycle
Artificial Intelligence & Machine Learning
  • Machine Learning Algorithms and Model Development
  • AI-based Chatbots and Virtual Assistants
  • Deep Learning and Image Recognition
  • AI Integration in Business Applications
  • Natural Language Processing (NLP)
Cloud Computing & Virtualization
  • Cloud Platforms: AWS, Azure, Google Cloud
  • Serverless Computing and Microservices
  • Virtualization Tools and Hypervisors
  • Cloud Security and Compliance
  • SaaS, PaaS, and IaaS Models
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Overview
6
No.of Consultancy Projects
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14/3
No.of PhD Scholars/
No.of PhD Awarded
27
Conferences
16/1
Patents Published/
Patents Granted
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20
Journals
10+
Book Chapters
50+
Total Publications
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Clusters
Machine Learning
Name: Dr. N. Veeranjaneyulu
Specilaization: Machine Learning, Deep Learning
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Name: Ms. T. Sri Vyshnavi
Specilaization: Machine Learning
Networks & Security
Name: Dr. Kurra Santhi Sri
Specilaization: Networks & Security
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Name: Mr. Sayyad Irfan
Specilaization: Networks & Security
Name: Mr.K.Raghavendra Murali
Specilaization: Networks & Security
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Name: Ms. K. Lakshmi Thanuja
Specilaization: Networks & Security
Deep Learning
Name: Dr. Ch Siva Koteswara Rao
Specilaization: Deep Learning
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Name: Dr. K .Gayatri
Specilaization: Deep Learning
Name: Dr. R.S. Padma Priya
Specilaization: Deep Learning
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Name: Mr.P.Rahul
Specilaization: Deep Learning





Image Processing
Name: Mrs. R. Naga Sirisha
Specilaization: Image Processing
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Speech Recognition
Name: Mrs. R Swathika
Specilaization: Speech Recognition
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Student Publications

Student Journals
11
No. of Student Journals
CA department
Conferences
22
No. of Conferences
CA department
Total
33
Total No. of Publications
CA department
Frequently Asked Questions
To be eligible for the PhD program in Information Technology, candidates typically need to have a Master’s Degree in a relevant field, such as Computer Science, Information Technology, or MCA.
The department offers a range of research areas for Ph.D. candidates, including Machine Learning, Data Analytics, Cloud Computing, Wireless Sensor Networks, Natural Language Processing. Candidates are encouraged to explore their interests and align them with faculty research areas.
Yes, the University/Department offers various funding opportunities for Ph.D. students, including research assistantships and teaching assistantships. These positions often provide a stipend and tuition waivers, allowing candidates to focus on their research and academic pursuits.
Yes, Ph.D. candidates are encouraged to collaborate with industry partners on research projects. The department has established relationships with various companies and organizations, providing researchers with opportunities to work on real-world challenges, gain practical experience, and enhance the impact of their research.
The typical duration for completing a Ph.D. in Computer Applications ranges from three to five years, depending on the research topic and the candidate progress. The program is designed for full-time study; however, it is also possible to pursue the Ph.D. on a part-time basis. This option allows candidates to balance their studies with work or other commitments, although it may extend the overall duration of the program.
Contact Us
Vignan's Foundation for Science, Technology and Research
(Deemed to be University), Vadlamudi, Guntur-522213
info@vignan.ac.in
0863-2344700 / 701
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