Announcements >>
| Department | Year | Number of Publications | Total Publications (Department Wise) | Total Publications (College) |
| Computer Science & Engineering | April 2025 – Dec 2025 | 39 | 70 | 280 |
| July 2024 – April 2025 | 13 | |||
| July 2023 – June 2024 | 11 | |||
| July 2022 – June 2023 | 6 | |||
| July 2021 – June 2022 | 1 | |||
| Information Science & Engineering | April 2025 – Dec 2025 | 4 | 27 | |
| July 2024 – April 2025 | 7 | |||
| July 2023 – June 2024 | 8 | |||
| July 2022 – June 2023 | 7 | |||
| July 2021 – June 2022 | 1 | |||
| Electronics & Communication Engineering | April 2025 – Dec 2025 | 13 | 55 | |
| July 2024 – April 2025 | 14 | |||
| July 2023 – June 2024 | 18 | |||
| July 2022 – June 2023 | 9 | |||
| July 2021 – June 2022 | 1 | |||
| Artificial Intelligence & Machine Learning | April 2025 – Dec 2025 | 5 | 37 | |
| July 2024 – April 2025 | 5 | |||
| July 2023 – June 2024 | 22 | |||
| July 2022 – June 2023 | 2 | |||
| July 2021 – June 2022 | 3 | |||
| Civil Engineering | April 2025 – Dec 2025 | 13 | 33 | |
| July 2024 – April 2025 | 6 | |||
| July 2023 – June 2024 | 10 | |||
| July 2022 – June 2023 | 3 | |||
| July 2021 – June 2022 | 1 | |||
| Mechanical Engineering | April 2025 – Dec 2025 | Nil | 18 | |
| July 2024 – April 2025 | 9 | |||
| July 2023 – June 2024 | 7 | |||
| July 2022 – June 2023 | 2 | |||
| July 2021 – June 2022 | Nil | |||
| Basic Science | April 2025 – Dec 2025 | 5 | 40 | |
| July 2024 – April 2025 | 4 | |||
| July 2023 – June 2024 | 9 | |||
| July 2022 – June 2023 | 9 | |||
| July 2021 – June 2022 | 13 | |||
| Research Publications at our R&D Center | Journal Publications – 2023 | |||
| Journal Publications – 2022 | ||||
| Journal Publications – 2021 | ||||
| Year | Published | Granted | Awaiting / Under Examination |
|---|---|---|---|
| 2022-23 | 2 | 1 | – |
| 2023-24 | 15 | – | – |
| 2024-25 | 2 | 1 | – |
| 2025-26 | 2 | – | 1 |
| Patents at our R&D Center | |||
| Name of the Project / Endowment / Chair | Funding Agency | Principal Investigator / Co-Investigator |
|---|---|---|
| AI Driven Non-Contact FBG Sensor System for Early Detection of Diabetic Foot Ulcers | AICTE/RPS: Lab to Market | Dr. Chethana K |
| AICTE-VAANI | AICTE | Dr. Srinidhi Kulkarni |
| Lateral Load Response of Masonry Infilled Reinforced Concrete (MI-RC) Frames using Geo-grid Reinforcement at Interfaces | VTU-TEQIP Competitive Funding Scheme | Dr. Sreekeshava K S |
| Development of Novel Superhydrophobic Coatings for Solar PV Dust Inhibition Coating Applications | Rensol Power Pvt. Ltd. | Dr. Viswanatha R Dr. M. S. Santosh |
| Organic-Inorganic Hybrid Nano Coatings for Disposable Masks: A Formidable Arsenal Against Pathogenic COVID-19 | DST | Dr. Viswanatha R Dr. M. S. Santosh |
| Development of Advanced Composite Pressure Vessel for Hydrogen Storage | DST | Dr. M. S. Santosh Dr. Viswanatha R Dr. H. B. Muralidhara |
| Biobased Hydrophobic Coating for Single-Use Disposable Paper Cups | VGST | Ms. Rashmi P. N. Dr. Siddeswara D. M. K. |
| Fiber Bragg Grating Sensor Based Device for the Measurement of Angular Grip Strength | TEQIP Competitive Research Grant / VTU | Dr. Rajini (RNSIT) |
| An All Optical Fiber Based Sensor System for Measurement of Vital Body Parameters for Early Detection of Parkinson’s Disease | SERB-DST (TARE) | Dr. Chethana K |
| Fiber Bragg Grating Sensor and AI/ML Based Optical Health Decision Support System for Diagnosis of Vital Healthcare Parameters for Hospitalized Patients | VTU Research Grants Scheme | Dr. Chethana K |
| Development of High Temperature Fiber-Bragg Grating (FBG) Strain Sensors for Static Strain Measurement up to 800°C Using Optimization of Critical Parameters Before, During and Post Fabrication of FBGs | ISRO RESPOND | Dr. Chethana K |
| Digitalization of best-before data of the packaged meats using smart label | DST | Dr. S. Balaji |
| Testing and Measurement of Homeopathic Medicine Potency Using Their Colligative Properties | CCRH | Dr. S. Balaji |
| Computer Vision to Identify Nutrition Deficiency in Plants | VTU | Dr. S. Prabhanjan Mrs. S. Nikitha |
| FDP Online: Internet of Things – Framework and Its Applications | AICTE Training & Learning (ATAL) Academy | Dr. S. Prabhanjan |
| AICTE-VANI – SMART CITIES AND MOBILITIES | AICTE | Mr. Srinidhi Kulkarni |
| AICTE-VANI – Frontiers of Artificial Intelligence and Data Science | AICTE | Mr. Srinidhi Kulkarni |
| Development and Assembly and Testing of Quadcopter Drone | Kalpin Tech Pvt Ltd | |
| Technical Consultancy Work | RED & WHITE Co. | |
| Biobased Hydrophobic coating for single single-use disposable paper cups | VGST | Mrs. Rashmi P N |
| Developing a Web Digital Framework for Manufacturing Industry | Distinct Productivity Solutions Pvt. Ltd | Dr. Kishore G R, Dr. Divakar |
| Products at our R&D Center | ||
| Product Development | ||
| Sl.No | Name of the Product | Description |
| 1 | Revolutionizing Medication Access with the Drug Dispensing ATM | The Drug Dispensing ATM is an innovative automated system designed to provide quick and efficient access to prescribed medications, addressing challenges such as long pharmacy queues, especially for vulnerable populations like the elderly and pregnant women. Utilizing advanced technologies such as QR code scanning, NFC tagging, and servo motor mechanisms, the ATM identifies, retrieves, and dispenses medications based on prescriptions while ensuring dosage accuracy. Integrated payment processing via phone numbers and GSM modules ensures seamless transactions, with e-bills generated for user convenience. The system also includes a mounted camera for real-time notifications if medications are unavailable, ensuring a user-friendly experience. By combining automation and accessibility, the Drug Dispensing ATM aims to revolutionize medication dispensing and enhance healthcare delivery. |
| 2 | JYOTHY AI – An Interactive Teaching Assistance Device | The AI-powered teaching assistant device is a compact and portable solution designed to enhance learning experiences through real-time, adaptive assistance. Integrating voice recognition, machine learning algorithms, and multi-modal interaction, it provides immediate feedback and personalized learning support. With components like a Raspberry Pi processor, microphone, speaker, display, and rechargeable battery housed in a user-friendly design, it ensures portability and ease of use. The device is ideal for classrooms, training centers, and remote learning setups, offering cost-effective, accessible, and seamless integration with other devices via Bluetooth and Wi-Fi. Future upgrades could include gesture recognition, solar charging, and cloud-based AI, solidifying its role as an innovative and versatile tool in education. |
| 3 | NEURASCRIPT PEN: India’s First AI-Powered Bridge Between Handwriting and the Digital Future | There exists a significant gap in current writing technologies for individuals with motor impairments, learning disabilities, or neurological conditions, who struggle with conventional handwriting methods. Existing digital pens primarily focus on capturing pen strokes without interpreting the user’s cognitive intent or providing adaptive feedback. Furthermore, students and professionals lack tools that bridge neural activity and physical writing, which are critical for learning, rehabilitation, and cognitive assessment. This results in limited accessibility, reduced efficiency in education and therapy, and a lack of personalized writing assistance. The NeuraScript Pen aims to address this issue by integrating neuroscience and AI to develop a smart writing device capable of capturing both handwriting and brain signals. This innovation will enhance digital handwriting, assist neurodivergent individuals, and open new avenues in human-computer interaction, education, and assistive technology. |
| Products at our R&D Center | ||