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విజ్ఞాన శాస్త్ర సాంకేతిక పరిశోధనా సంస్థ / विज्ञान शास्त्र प्रौद्योगिकी और परिशोधन संगठन
Deemed to be university - Estd. u/s 3 of UGC Act 1956
Interdisciplinary Approaches to Complex Problems
The Department of Advanced Computer Science and Engineering is committed to driving technological advancement and fostering innovation, while preparing students to excel in both industry and academia. By engaging in cutting-edge research clusters such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Cybersecurity, Computer Vision, Wireless Sensor Preservation, students are exposed to some of the most transformative areas of modern technology. These specialized clusters foster research that addresses real-world challenges, leading to the development of innovative solutions with profound societal and industrial impacts.

Through dynamic research projects, students gain invaluable hands-on experience with advanced tools and technologies, including AI algorithms, machine learning models, NLP systems, cybersecurity protocols, computer vision techniques, and sensor networks. This exposure deepens their technical expertise and drives innovation in emerging fields such as autonomous systems, AI-driven healthcare, smart cities, cybersecurity defence, and environmental monitoring. Students not only contribute to the advancement of these technologies but also develop solutions that address current and future technological needs.

The research conducted in these clusters is closely aligned with industry requirements, ensuring that students tackle real-world problems of significant relevance. In addition to technical innovation, the department emphasizes interdisciplinary approaches, enabling students to leverage knowledge across multiple domains to drive new solutions. Through this holistic approach, the department is equipping the next generation of engineers and researchers to lead in the rapidly evolving fields of > AI, ML, NLP, Cybersecurity, Computer Vision, and Wireless Sensor Networks, making a lasting impact on technology and society.

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Thrust Areas
Artificial Intelligence
  • AI Algorithms
  • Computer Vision
  • Expert Systems
  • AI in Robotics
  • Speech Recognition
  • AI in Healthcare
  • AI in Healthcare
  • Intelligent Automation
  • Cognitive Computing
Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Deep Learning
  • Neural Networks
  • Predictive Analytics
  • Computer Vision
  • Feature Engineering
  • Model Optimization
Natural Language Processing (NLP)
  • Text Mining
  • Sentiment Analysis
  • Machine Translation
  • Named Entity Recognition
  • Speech Recognition
  • Information Retrieval
  • Text Classification
  • Language Generation
  • Chatbots
  • Question Answering Systems
Cybersecurity
  • Network Security
  • Threat Detection
  • Vulnerability Assessment
  • Intrusion Prevention Systems
  • Malware Analysis
  • Security Auditing
  • Ethical Hacking
  • Risk Management
  • Risk Management
Center of excellence for Intelligent systems & cyber security
The Cyber Security Lab provides faculty with the opportunity to gain in-depth knowledge and hands-on experience in network security, ethical hacking, and cryptography.

Big data Lab
Faculty have the unique opportunity to gain practical experience in managing and analyzing large-scale datasets using state-of-the-art tools like Hadoop, Spark, and NoSQL databases.

Machine Learning Lab
The Machine Learning Lab provides faculty with the opportunity to immerse themselves in AI-driven technologies, enabling them to explore deep learning, reinforcement learning, and predictive modeling.

Networks Lab
The Networks Lab offers faculty the opportunity to deepen their expertise in networking technologies, protocols, and architectures, preparing them to design and implement secure, high-performance networks.

Our Research Facilities
Our Centre of Excellence for Intelligent Systems features 30 high-performance systems equipped with cutting-edge technology, including NVIDIA RTX series GPUs and Intel i7 processors. These resources support a wide range of scientific inquiries, enabling complex simulations, data analysis, and innovative experiments. Our labs also utilize advanced software tools like MATLAB, TensorFlow, and ANSYS, fostering an environment of collaboration and discovery. With a focus on diverse research disciplines, we ensure that students and faculty have access to the tools they need to excel in their projects.
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Overview
6
H-index
5.33
I-10 index
22
Conferences
13
Patents Published
48
Journals
113+
Citations
70+
Total Publications
Research Projects
The research projects at the ACSE Department span diverse areas of computing, cybersecurity, and emerging technologies. Faculty and students collaborate on innovative studies addressing real-world challenges such as network security, AI-driven threat detection, blockchain-based data integrity, IoT security, cloud computing, and digital forensics. With a focus on cybersecurity resilience and sustainable solutions, these projects explore cutting-edge advancements in ethical hacking, secure software development, and AI in cybersecurity. The department's commitment to research excellence fosters an environment where creativity and critical thinking drive impactful discoveries.
Dr. M. VIJAI MEYYAPPAN
2 Lakhs
Design and Implementation of an Internet of Things (IoT)-based system for evaluating the structural health of buildings constructed by using both fresh and treated water.
Dr. M. VIJAI MEYYAPPAN
1.16 Cr
Nanomaterial-based retinal implants: fabrication, characterization, and testing
Clusters
Distributed Systems,wireless sensor networks, privacy & security, Machine Learning, Deep Learning


Name: Dr. D. Venkatesulu
Specilaization: Distributed Systems,wireless sensor networks, privacy & security, Machine Learning, Deep Learning
H-index:6
Research Interests:Distributed Systems,wireless sensor networks, privacy & security, Machine Learning, Deep Learning
Cloud Security


Name: Dr. D. Radha Rani
Specilaization: Cloud Security
H-index:9
Research Interests:Cloud Forensics, Internet of Things Security
Visual Cryptography


Name: Dr. M.Nirupama Bhat
Specilaization: Visual Cryptography
H-index:8
Research Interests:Information security, Image processing
Internet of Things (IoT)


Name: Dr. Vijai Meyyappan Moorthy
Specilaization: Internet of Things (IoT)
H-index:5
IoT, Machine Leaning
Wireless Networks


Name: Dr. P.M. Benson Mansingh
Specilaization: Wireless Networks
H-index:6
Networks, IoT, UAV, Cloud Security
Image and signal processing, Machine Learning


Name: Dr. C. Sateesh Kumar Reddy
Specilaization: Image and signal processing, Machine Learning
H-index:2
image and signal processing, Embedded systems, Machine Learning
Deep Convolutional Neural Networks


Name:Dr. Shaik John Saida
Specilaization: Deep Convolutional Neural Networks
H-index:3
Research Interests:Machine Learning, Deep Learning, Natural Language Processing
RF and Microwave Communication


Name: Dr. Arnab De
Specilaization: Polynomial secret sharing
H-index:7
Research Interests:Wireless Communication, Image Processing, Cyber Security, Pattern Recognition, Computer Vision, IoT
VANET Security, Federated Learning


Name:Dr. Chennapradaga Amarendra
Specilaization: Optimization Techniques, PSO, GA
H-index:5
Research Interests:Machine Learning, Particle Swarm Optimization, Genetic Algorithm, block chain technology, cyber securiry
Wireless Sensor Networks


Name:Dr. Britto Manoj
Specilaization: Mathematical Modeling
H-index:3
Research Interests:Fuzzy Mathematical Modeling, Networks, Iot Intrenet of things, Machine learning, Differential Calculus, Operations Research, Stochastic processes
Deep Learning
Name: Dr. Arul Elango
Specilaization: Deep Learning
H-index:7
Research Interests:Signal and Image Processing for localization , Machine Learning, Deep Learning and Navigation Systems
Name:Dr. Eva Patel
Specilaization: Cloud Computing, Deep Learning
H-index:4
Research Interests:Cloud Workload Analysis, Machine Learning and Deep Learning Techniques for Cloud Workload Prediction
Machine Learning
Name: Dr. A.V. Nageswara Rao
Specilaization: Medical image Analysis, Machine Learning
H-index:2
Internet of Things (IoT),Machine Learning, Medical ImageAanalysis, Deep Learning
Name: Dr. B. Jyostna Devi
Specilaization: Machine Learning
H-index:17
Computer Vision and pattern Recognition, Natural Language Processing, Representation Learning, Medical image Analysis
Name: Dr. Banoth Thulasya Naik
Specilaization:Embedded Systems and Machine Learning
H-index:6
Research Interests:Embedded Image/Video Processing, AI Integration in RTOS, Machine Learning Algorithms, Deep Learning for Visual Computing, Internet of Things
Name: Dr. G. Kalaiarasi
Specilaization: Machine Learning
H-index:4
Research Interests:Hyperspectral Image Processing, Image Classification,Object Detection
Name: Sk. Mahabub Basha
Specilaization:Machine Learning,Cloud Computing
H-index:3
Research Interests:Machine Learning,Cloud Computing
Name:Ms. Ch. Rose Rani
Specilaization: Machine Learning
Faculty Appreciations
Dr. P M Benson Mansingh
Dr. P M Benson Mansingh, Assistant Professor Senior Level at Vignan’s Foundation for Science, Technology, and Research, successfully completed a 3-day Faculty Development Program on "Autonomous Technologies" organized by Virginia Tech, India, at IIT Research Park, Chennai, from 27th to 29th January 2025.
Dr. A. Britto Manoj
Assistant Professor in the Department of Advanced Computer Science and Engineering at Vignan’s Foundation for Science, Technology & Research, served as a resource person at the National Conference on Actuarial Mathematics (NCAM – 2025), organized by the Department of Mathematics in association with IQAC on 29th & 30th January 2025.
Dr. C. Sateesh Kumar Reddy
Dr. C. Sateesh Kumar Reddy from the ACSE Department, Vignan’s Foundation for Science, Technology, and Research, was invited by the Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, to serve as an adjudicator for the Srujana Paper Presentation event at Lakshya-2K25, the 18th National Level Technical and Cultural Fest, held on 25th January 2025.
Dr. Arnab De
Dr. Arnab De was invited by the School of Electronics Engineering, VIT-AP University, to serve as a Technical Session Chair at the 4th IEEE International Conference on Artificial Intelligence and Signal Processing (AISP'24), held from 26th to 28th October 2024.
Student Publications

Student Journals
6
No. of Student Journals
ACSE department
Conferences
2
No. of Conferences
ACSE department
Total
2
Total No. of Publications
ACSE department
Frequently Asked Questions
Ph.D. candidates are assessed through several criteria, including academic performance, which reflects their capability to manage complex concepts, research experience, showcasing familiarity with research methodologies, written tests to evaluate subject knowledge, and interviews to gauge motivation and suitability. This comprehensive evaluation aims to identify candidates with strong research potential.
Internal Ph.D. candidates at VFSTR University are those engaged full-time in research or a combination of teaching and research. This includes research scholars, faculty members with teaching and research assignments, candidates with financial support from VFSTR or external grants, and those employed at partner institutions with an MoU with VFSTR.

External Ph.D. candidates will conduct part or all of their research at their parent industry, R&D organization, or employing institution. They are encouraged to address industry-related challenges as their research focus.
The written test plays a crucial role in the Ph.D. admission process, as it serves as a primary tool for assessing the candidate’s academic aptitude, subject knowledge, and research potential. It helps ensure that applicants possess the necessary foundational understanding and analytical skills required for advanced research. The test also provides a standardized evaluation, allowing fair comparison among candidates from diverse academic backgrounds. Strong performance in the written test often complements other selection criteria, such as interviews and prior academic achievements, and can significantly impact the final admission decision.
A first-class qualification ensures Ph.D. candidates have a strong academic foundation, intellectual rigor, and the ability to grasp complex concepts. It demonstrates consistent performance, discipline, and readiness for independent research. This standard upholds the quality of the doctoral program and reflects the institution's commitment to research excellence.
After the interview with research supervisors, provisional selections will be communicated based on their recommendations, along with the name of the assigned Research Supervisor for each candidate, as determined by the school Dean and Head of the Department.
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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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(Deemed to be University), Vadlamudi, Guntur-522213
info@vignan.ac.in
0863-2344700 / 701
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