OVERVIEW
The department of Computer Science and Engineering(Artificial Intelligence & Machine Learning) at Sri Venkateswara College of Engineering, Tirupati was formed in the year 2020 and provides an outstanding research environment complemented by excellence in teaching. The departmenthas a comprehensive curriculum on topics related to all aspects of Computer Hardware and Software with an emphasis on practical learning. The course structure is up-to-date and includes courses on nascent topics to equip our students with the latest developments in Computer Science and Engineering(Emerging Techonologies). The departmentof Computer Science&Engineering(Artificial Intelligence & Machine Learning) was started in the year 2020 and offering, UG programme B.Tech(Artificial Intelligence & Machine Learning) with an annual intake of 60 students in 2020, 180 students in 2021 and at present 300 students from the year 2022. The world of Computer Science is constantly evolving. With the emergence of new technologies in Computer Science, the possibilities for innovation and development in the tech world are endless. From machine learning and artificial intelligence to block chain Technologies and 5G, these emerging technologies are transforming the way we use computers and the internet. In this comprehensive guide, we will explore the latest technologies in Computer Science and how they are changing the world of technology. We will discuss the different types of emerging technologies in Computer Science, their applications, and the future of these technologies. The departmentis committed to building ethical and competent professionals with the support of highly qualified faculty, innovative novel curricula, and state of the art infrastructure. The curriculum includes courses on the latest technologies like Artificial Intelligence, Machine Learning, Image Processing, Internet of Things, Natural Language Processing, and Robotic Process Automation, to name a few. Apart from the curriculum, a value-added course, CISCO, is also offered to meet the contemporary market demands. The departmentis conducting the workshops and certifications under Microsoft and IBM. Various activities are conducted in collaboration with professional bodies like CSI, ISTE along with student branches of IEEE and CSI. The programs offered by the department enable students to be recruited by distinguished multinational companies namely Amazon, Cisco, Infosys, Wipro, IBM, Accenture, CTS, Capgemini, TCS & Misplaced Minds that offer students training programmes, internships and placements. The departmenthas received a grant from AICTE under MODROBS and established DELL Server to carry out mini projects, major projects and research works. Seminars, workshops, theme-based projects and hackathons are conducted regularly to keep the students abreast in latest developments in Computer Science& Engineering. Furthermore, the department has been recognized as a research centre by JNTUA, University and two professors have been recognized as research supervisors.
Vision
- To produce competent professionals with skills and knowledge in AI & ML, equipped with leadership qualities and ethical values, contributing to research and development that globally benefits industry and society.
Mission
- To impart knowledge in AI & ML technologies that are aligned with industry standards by providing well-equipped industry and research laboratories
- To equip students with leadership qualities and ethical values, encouraging them to pursue higher studies in Artificial Intelligence (AI) and Machine Learning (ML) under the guidance of highly qualified and expert faculty members.
- To address the evolving needs of industry and society the students are empowered to become innovators and problem-solvers in the AI and ML fields by providing hands-on learning opportunities, including projects, workshops, and industry partnerships.
OUR PROGRAMS
B-Tech In CSE-Ai & ML
Computer Science Department
UG PROGRAM
4 YEARS
PROGRAM DETAILS
LABORATORIES AND FACILITIES
STUDENT CLUBS AND ACTIVITIES
The CSE Department encourages students to participate in various clubs and activities that promote learning and innovation:
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AI/ML Club: Organizes workshops, seminars, and Hackathon on the latest AI and ML trends.
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Robotics Club: Focused on building intelligent robots and autonomous systems.
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Data Science Club: Provides hands-on training on data analytics, data visualization, and predictive modeling.
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Google Developer Student Club: Provides Workshops, Seminars and Courses and placements
HEAD OF DEPARTMENT
Dr.R SWATHI
M.Tech., Ph.D.
INFRASTRUCTURE
The Department of CSE(AI&ML) is equipped with state-of-the-art facilities that support academic excellence and holistic development. Key infrastructure highlights include:
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Spacious Classrooms:
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Well-furnished, air-conditioned classrooms with modern teaching aids such as LCD projectors and smart boards to ensure an interactive learning environment.
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Seminar Hall:
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A fully equipped seminar hall with high-quality audio-visual systems, accommodating up to 150 participants for guest lectures, seminars, and conferences.
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Computer Lab:
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A dedicated computer lab with high-speed internet, advanced software, and simulation tools catering to data analysis, business modeling, and decision-making exercises.
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Library and Learning Resource Center:
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A rich collection of management books, journals, and e-resources (including access to databases like EBSCO, ProQuest, and JSTOR) to foster research and learning.
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Case Study and Group Discussion Rooms:
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Specially designed rooms for group discussions, case study analysis, and brainstorming sessions to encourage collaborative learning.
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Wi-Fi Campus:
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High-speed Wi-Fi connectivity across the campus for seamless access to digital learning platforms.
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Innovation and Incubation Center:
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A dedicated space to promote entrepreneurship and innovation, providing mentoring and resources for student-led startups and business ideas.
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Student Activity Zones:
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Common areas for extracurricular activities, clubs, and professional networking events to foster peer interaction and leadership development.
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Cafeteria and Recreational Facilities:
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A modern cafeteria offering hygienic and nutritious food, along with recreational spaces for relaxation and informal discussions.
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Industry-Institute Collaboration Facilities:
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A dedicated placement and training center for organizing workshops, recruitment drives, and corporate engagement programs.
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Problem Solving using C Lab
IT Workshop
Data Structures Lab
Object Oriented Programming Through Java Lab
Database Management Systems Lab
Design and Analysis of Algorithms Lab
Python Programming Lab
Operating Systems Lab
Computer Networks Lab
Web Application Design Lab
Machine Learning Lab
Deep Learning Lab
Digital and Social media market Lab
DEPARTMENT R&D
PUBLICATIONS
| S.No | Publication | Year | Department |
|---|---|---|---|
| 1 | Mr. Buchi Reddy Ramakantha Reddy has published a research paper titled “Histopathology-based Breast Cancer Prediction Using Deep Learning Methods for Healthcare Applications” in the prestigious journal Frontiers in Oncology (ISSN: 2234-943X), which is indexed by SCIE. This work highlights advancements in healthcare through the application of deep learning techniques for breast cancer prediction. | 2024 | CSE (AI&ML) |
| 2 | Mrs. R. Swathi has published a research paper titled “Image Capturing and Deleting Duplicate Images Through Feature Extraction Using Hashing Techniques” in the International Journal of Engineering Trends and Technology (ISSN: 2231–5381) in January 2024. This study explores innovative approaches to efficient image management using advanced hashing techniques. | 2024 | CSE (AI&ML) |
| 3 | Dr. A. Revathi has published a research paper titled “Stroke Risk Prediction with 5G Infrastructure-Based Framework” in the Journal of Autonomous Intelligence in June 2024, which is Scopus-indexed. This paper is an innovative framework leveraging 5G infrastructure for efficient stroke risk prediction, contributing to advancements in healthcare technology. | 2024 | CSE (AI&ML) |
| 4 | Dr. J. Sarada has published a research paper titled “Early Stage Disease Classification in Potato Leaves Using Convolutional Neural Networks” in the Journal Communication and Computing Technology (ICCICCT) in April 2024, which is Scopus-indexed. The paper focuses on leveraging convolutional neural networks for agricultural disease detection and will be published in conference proceedings indexed by Scopus. | 2024 | CSE (AI&ML) |
| 5 | Dr. A. Revathi and Dr. R. Swathi have published their research paper titled “DNA TRIKKY-Based Security Mechanism for Radio Frequency Identification” in the prestigious IETE Journal of Research (Taylor & Francis Group), an SCIE-indexed journal in April 2024. The paper presents a novel security mechanism leveraging DNA-based techniques to enhance the security of Radio Frequency Identification systems. | 2024 | CSE (AI&ML) |
| 6 | Dr. Dhakshinamoorthy T has published a research paper titled “Design and Fabrication of Sub-Terahertz Filter Using Maskless Femtosecond Laser Micromachining Process” in the prestigious journal Optics Communications (Volume 554, March 2024, Article 130163, SCIE indexed). This work focuses on innovative techniques in optics, showcasing advanced sub-terahertz filter fabrication using femtosecond laser micromachining. | 2024 | CSE (AI&ML) |
| 7 | Dr. D. Esther Rani, Ms. L. Lavanya, and Ms. N. Vasavya presented their research paper titled “Machine Learning Approaches to IoT Security: Ongoing Research and Future Vision Using Generative AI and Language Models” at the National Conference on Chip-Design and IoT Applications (NCCDIA-2024). This paper explores the integration of machine learning techniques, generative AI, and language models to address emerging security challenges in the Internet of Things (IoT). | 2024 | CSE (AI&ML) |
| 8 | P. Lokesh Kumar Reddy has published a paper titled “View of Enhancing IoT Fog Computing Security: A Dynamic Nonlinear Analytical Model-Based SDN Assessment Framework” in the Communications on Applied Nonlinear Analysis (ISSN: 1074-133X), an international journal in September 5, 2024. This paper presents a dynamic nonlinear analytical model for enhancing the security of IoT fog computing through a Software-Defined Networking (SDN) assessment framework. | 2024 | CSE (AI&ML) |
| 9 | R. Swathi and K. Srishyla presented their research paper titled “Machine Learning-Driven Intelligent System Design for Malware Detection in Internet of Things (IoT)” at the National Conference on Chip-Design and IoT Applications (NCCDIA-2024), on August 30-31, 2024. This paper focuses on the development of an intelligent system driven by machine learning techniques for the effective detection of malware in IoT environments. | 2024 | CSE (AI&ML) |
| 10 | Dr. D. Esther Rani, Ms. L. Lavanya, and Ms. N. Vasavya presented their research paper titled “A Smart Real-Time Oxygen Monitoring IoT-Based System in the Healthcare Industry” at the International Conference on Artificial Intelligence, Communication, and Computational Technologies (AICCT-2024) in 2024. This paper explores the development of a real-time oxygen monitoring system using IoT technology, aiming to enhance healthcare monitoring and patient care. | 2024 | CSE (AI&ML) |
PATENTS
| S.No | ACY Year | Department | Patent Application Number | Status of Patent | Inventor/s Name | Title of the Patent | Applicant/s Name | Patent Filed Date | Patent Published / Granted Date | Patent Publication / Granted No. |
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| 1 | 2023-2034 | CSE (AI&ML) | 202341026792A | Published & Granted | Dr. R SWATHI | Study On Ability Enhancement and Personality Prediction of Employees of an Organization Using Machine Learning Algorithms | SVCE | 11-04-2023 | 05-05-2023 | — |
| 2 | 2023-2034 | CSE (AI&ML) | 202341063596A | Published & Granted | B. Ramakantha Reddy | Method and apparatus for transceiving signal in 6G Wireless communication networks using Machine Learning and Artificial Intelligence | SVCE | 22-09-2023 | 06-10-2023 | — |
| 3 | 2023-2034 | CSE (AI&ML) | 202441017564A | Published & Granted | B. Ramakantha Reddy | AI-Driven Smart Electric Wheelchair | SVCE | 12-03-2024 | 22-03-2024 | — |
| 4 | 2023-2024 | CSE (AI&ML) | 405523-001 | Published & Granted | Dr. J. Sarada | IOT-Based Bio-Fertilizer and Bio Control Device for Agriculture | SVCE | 24-01-2024 | 22-03-2024 | — |
| 5 | 2023-2024 | CSE (AI&ML) | 202441045607 | Published & Granted | N. Vasavya, Dr. D. Esther Rani | Machine Learning-Based Methodology for Database Migration in Cloud Computing Environment | SVCE | 13-06-2024 | 21-06-2024 | — |
| 6 | 2023-2024 | CSE (AI&ML) | 6339332 | Published & Granted | Dr. Revathi | Smart Electronic Sanitizer Dispensing Device | SVCE | 13-01-2024 | 30-01-2024 | — |
INDUSTRY COLLABORATIONS
| S.No | Name of the Organization | Date of MOU Signed | Validity | Purpose |
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| 1 | BrightGeeks | 21-12-2021 | 01-12-2027 | Skill-based training, education, industry visits, placements, certificate courses, recruitment, internships, certifications, and admission examinations. |
| 2 | Excel R | 10-10-2023 | 10-10-2025 | Prepare students for emerging challenges in the AI & ML domain by providing internships, hands-on projects, and placements tailored to AI & ML roles, online workshops, student development programs, guest lectures, skill development events, and software technologies training. |
RECRUITERS
| S.No | Companies Visited Recently |
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| 1 | Tata Consultancy Services (TCS) |
| 2 | Infosys |
| 3 | Wipro |
| 4 | Cognizant Technology Solutions (CTS) |
| 5 | Tech Mahindra |
| 6 | Accenture |
| 7 | Capgemini |
| 8 | Mindtree |
| 9 | IBM |
| 10 | HCL Technologies |
| 11 | Amazon |
| 12 | Microsoft |
| 13 | ZOHO |
| 14 | Deloitte |
PLACEMENT
Our dedicated placement cell works tirelessly to connect you with exciting job opportunities, internships, and industry interactions. Explore this section to learn more about our placement process, achievements, and how we equip you with the skills and confidence to thrive in the competitive job market.
15
Recruiters
151
Offers
8.4 LPA
Highest Package
4 LPA
Average CTC
DEPARTMENT ACTIVITIES
DEPARTMENT RESOURCES
Explore our collection of study resources, academic guides, and industry insights to enhance your learning experience and stay updated with the latest trends in the field of Computer Science and Engineering. Dive in and make the most of the resources available to help you excel in your academic journey.
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DEPARTMENT EVENTS
Stay in the loop with our dynamic events, including seminars, workshops, and special gatherings. These events are tailored to enhance your academic journey, foster connections with peers and experts, and keep you at the forefront of industry trends. Join us in exploring the exciting world of departmental events and enrich your educational experience.
