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Alva's Institute of Engineering & Technology

A Unit of Alva's Education Foundation(R), Moodubidire

(Affilliated to VTU, Belgaum, Approved by AICTE, New Delhi, Recognized by Govt. of Karnataka)

Computer Science

 Ph.D. Guidance in Computer Science at Alva’s Institute of Engineering and Technology

At Alva’s Institute of Engineering and Technology, we take pride in offering exceptional Ph.D. guidance in Computer Science, empowering research scholars to excel in emerging domains of technology. Our structured doctoral programs are designed to foster innovation, practical problem-solving, and academic excellence, making our scholars future-ready leaders in their fields.

Our Computer Science Ph.D. program emphasizes a research-oriented curriculum, expert mentorship, and access to cutting-edge technologies. Scholars are encouraged to explore areas including Artificial Intelligence, Machine Learning, Data Analytics, Mobile Ad-Hoc Networks (MANETs), IoT, Blockchain, and Optimization Algorithms.

  Distinguished Guides in Computer Science

Sl. No. Name  of the Guide Year of Ph.D Award Year of Recognition as Research Guide Name of the Research scholar and USN Year of registration Affiliated University Title of the thesis for scholar Status

1

Dr. S Mohideen Badhusha

2016

2018

Mr. Sushanth Mallappa Mangasuli

4AL18PCS01

2018

VTU

An Effective Video Streaming Framework for Disaster Management System Using MANETs

Course Work Completed

2

Dr. Manjunath Kotari

2017

2019

Veena M

4AL19PCS01

2019

VTU

Data Analytics and Machine Learning approaches for Educational Data Mining: A Case study of Engineering Education in Karnataka

Course Work Completed

3

Dr. Manjunath Kotari

2017

2019

Sathyprakash B P

4AL15PEJ01

2020

VTU

Implementation of Dynamic Multipath Route Discovery and route Shortening Protocol for Mobile Ad-hoc Networks

Course Work Completed

4

Dr. Manjunath Kotari

2017

2019

Harish Kunder

4AL20PCS01

2020

VTU

An efficient method for handling non-convex optimization problems in Machine Learning

Registered

5

Dr. Manjunath Kotari

2017

2019

Nagesh U B

4AL20PCS02

2020

VTU

IMPLEMENTATION AND PERFORMANCE ANALYSIS OF IOT

BASED SECURE AUTONOMOUS VEHICLES USING

BLOCKCHAIN TECHNOLOGY

Registered

Our guides ensure that scholars receive personalized mentorship, hands-on project guidance, and academic support throughout their research tenure.

 Research Areas in Computer Science Ph.D.

The Ph.D. program in Computer Science at Alva’s Institute of Engineering and Technology covers a wide range of contemporary research areas:

Artificial Intelligence & Machine Learning

Scholars can explore AI-driven algorithms, predictive modeling, deep learning frameworks, and intelligent systems. Research includes optimization techniques, neural network modeling, and data-driven decision-making.

 Data Analytics & Educational Data Mining

Our Ph.D. scholars analyze complex datasets to derive actionable insights. Projects like educational data mining in engineering education highlight trends, predict student performance, and enhance learning outcomes.

 Mobile Ad-Hoc Networks (MANETs)

Research in MANETs focuses on dynamic routing protocols, network efficiency, and real-time communication, enabling reliable solutions for disaster management and decentralized networks.

 Internet of Things (IoT) & Blockchain

Scholars work on IoT-enabled smart systems, autonomous vehicles, and secure blockchain protocols, bridging innovation and practical application in emerging technologies.

Optimization & Non-Convex Problem Solving

Advanced research in optimization algorithms helps solve real-world problems in machine learning, logistics, and data analysis with efficient computational solutions.

Why Choose Alva’s Institute for Ph.D. in Computer Science?

  • Renowned Research Guides: Our faculty is recognized by VTU and have years of hands-on research experience.

  • Cutting-Edge Infrastructure: Access to advanced labs, simulation tools, and computing facilities for experimental research.

  • Collaborative Research Culture: Scholars participate in national and international conferences, workshops, and collaborative projects.

  • Publication Opportunities: Encourage publication in reputed journals like IEEE and Springer for visibility and academic growth.

  • Industry Collaboration: Engagement with industry projects ensures practical exposure and innovation-driven research outcomes.

 Final words

The Ph.D. Guidance in Computer Science program at Alva’s Institute of Engineering and Technology stands as a benchmark for excellence in research and innovation. With a strong foundation of academic rigor, dedicated mentors, and advanced research infrastructure, the institute nurtures scholars to become innovators, educators, and leaders in the digital era.

Through consistent guidance from experienced faculty, access to emerging technologies, and collaboration with leading research bodies, Alva’s Institute ensures that every scholar’s research journey is impactful and future-oriented.

Choosing Alva’s Institute of Engineering and Technology for your doctoral studies in Computer Science is not just a step toward academic achievement—it’s a commitment to pushing the boundaries of knowledge, technology, and innovation for a smarter tomorrow.