Research & Development
The R&D cell at our engineering college serves as the nerve center of innovation, exploration, and academic excellence. With a focus on fostering a culture of research and development, our cell is dedicated to pushing the boundaries of knowledge and driving technological advancement. Led by experienced faculty members and supported by enthusiastic students, we undertake interdisciplinary projects, collaborate with industry partners, and engage in cutting-edge research endeavors. Our goal is to not only contribute to the academic community but also to address real-world challenges and make meaningful societal impact. Join us in our quest to innovate, discover, and shape the future.
Vision
"To cultivate an environment of innovation and excellence, driving transformative research and development that addresses global challenges and fosters sustainable societal progress."
Mission
- To encourage and facilitate the students, research scholars and faculty to involve in research activities addressing real-world challenges.
- Drive interdisciplinary research through R&D projects by collaborating with academia and industry.
Research and Development Team
- Dr. Anil Tumuluri (R&D chief coordinator) (Asst. Prof, H&S-PhD (University of Hyderabad), Postdoctoral Fellow (IIT Bombay))
- Mr. Mohammed Afzal (Publication and Research- coordinator) (Assistant Professor, AIML)
- Mr. V. Sharath Vedala (Innovation and Patents-coordinator)
- Mr. I. Phani Raja (Computer Science and Engineering-Mentor) (Assistant Professor, CSE)
- Mr. Neelesh D. Mhaiskar (Data Science-Mentor) (Assistant Professor, DS)
- Mrs. P. Sandhya Rani (Cyber security-Mentor) (Assistant Professor, CS))
Research Infrastructure
- Muffle furnace with temperature up to 800 oC.
- Laboratory Hot air Oven.
- Humidity chamber.
- Auto clave for composite and nanoparticle synthesis.
- Dedicated Apple lab with high end iMac configuration.
Open source software tools available for Research:
Python: A versatile programming language widely used for scientific computing, machine learning, and data analysis.
R: Another popular language for statistical computing and graphics, commonly used in data mining and analysis.
TensorFlow: An open-source machine learning framework developed by Google, widely used for building and training neural networks.
PyTorch: A deep learning framework developed by Facebook's AI Research lab, known for its flexibility and ease of use.
Jupyter Notebooks: Interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text.
Apache Hadoop: A framework for distributed storage and processing of large datasets commonly used in big data analytics.
Apache Spark: A fast and general-purpose cluster computing system for big data processing, supporting various programming languages including Java, Scala, and Python.
LaTeX: A typesetting system commonly used for writing technical and scientific documents, particularly for research papers and academic publications.
OpenCV: An open-source computer vision and machine learning software library, providing tools for image processing, object detection, and more.
Docker: A platform for developing, shipping, and running applications in containers, offering flexibility and consistency across different computing environments.
Apache Kafka: A distributed event streaming platform used for building real-time data pipelines and streaming applications.
Apache Flink: A stream processing framework for real-time analytics and event-driven applications.
PostgreSQL: Another open-source relational database management system, known for its advanced features and extensibility.
Apache Cassandra: A distributed NoSQL database designed for handling large amounts of data across multiple commodity servers.
Scikit-learn: A machine learning library for Python, providing simple and efficient tools for data mining and data analysis.
Open source software tools available for Plagiarism
Turnitin (SimCheck): While Turnitin is a commercial plagiarism detection service; it offers SimCheck, a freely available version for educational institutions. It provides similarity checking and originality reports.
Moss (Measure of Software Similarity): Originally developed for detecting plagiarism in programming assignments, Moss is widely used in academia. It supports various programming languages and can detect similarities in source code.
Plagiarism Checker X: This tool is designed for educators, students, and content creators. It can compare documents against a large database and provides detailed reports on similarities found.
MoUs
- Visual IT software solutions, Hyderabad
- Bharat Blockchain Network
- International Institute of Information Technology, Gachibowli (on virtual lab)
- Federation of Telangana Chambers of Commerce and Industry (FTCCI)
- Morphological Solutions pvt. Ltd., Hyderabad
- Talent Battle private ltd., Pune, Maharashtra.
- World Academy of Research in Science and Technology, Coimbatore, Tamilnadu.
Contact us
For queries and collaboration, reach us at rdcsphoorthyengg@gmail.com