Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
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Dr. Nagashettappa Biradar brings a strong research background, holding a Ph.D. in Biomedical Image Processing from the Indian Institute of Technology Roorkee, where his work centred on denoising and segmentation of echocardiographic images. He also earned an M.Tech. in Industrial Electronics from Visvesvaraya Technological University and a B.E. in Electronics & Communication from Gulbarga University, both with First Class with Distinction.
His research in biomedical signal and image processing has been widely published in reputed peer-reviewed journals, attracting over 390 citations on Google Scholar and more than 235 across Scopus and Web of Science. He serves as a reviewer for leading international journals, including Computers in Biology and Medicine, IEEE Access and Biomedical Signal Processing and Control.
In his previous leadership role, Dr. Biradar led a significant phase of academic and institutional advancement. Through focused strategic interventions, he drove a near doubling of student admissions, secured ₹3.1 crores in competitive research funding, and introduced forward-looking academic initiatives such as virtual laboratories and specialised Centres of Excellence. His efforts also earned the institution recognition under the Super30 (RETE) initiative, reflecting his ability to elevate academic standards and align engineering education with global benchmarks.
His expertise extends to university-level policy-making. As an Academic Senate Member and Chairman of the Board of Studies at VTU, Belagavi, he has played a pivotal role in shaping curricula for UG, PG and Ph.D. programmes, with a strong emphasis on emerging technologies and industry relevance.
At RVITM, Dr. Biradar fosters an environment where students can thrive academically and professionally. He champions robust teaching-learning processes, deeper research engagement, meaningful industry collaboration, and entrepreneurial thinking. Under his guidance, RVITM students consistently achieve university ranks, reflecting a culture of discipline and outcome-based education. His vision is to position RVITM as a hub that produces competent, ethical engineers prepared to address real-world challenges.
Master coding and algorithms to build scalable software that transforms the digital world.
EXPLORE DEPARTMENTShape the future by creating intelligent systems capable of solving complex global challenges.
EXPLORE DEPARTMENTExplore the data and networks that drive modern technology and enable informed decisions.
EXPLORE DEPARTMENTDevelop the hardware and high-speed networks that connect people and systems worldwide.
EXPLORE DEPARTMENTDesign & innovate machines and sustainable systems that power modern industry.
RVITM is led by Dr. Nagashettappa Biradar, an academic leader with over 26 years of experience in higher education. Since joining RVITM in July 2024, he has guided the institution with a clear focus on academic excellence and student development beyond the classroom.
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Step inside the CSE – AI/ML department and see where ideas take flight. Check out our placement stories, celebrate achievements, explore cutting-edge labs and get a taste of the events that make learning fun and exciting
From high-impact research publications and patent filings to student-led innovations in global technical forums, see how the department is making its mark. We take pride in the accolades that showcase the technical depth and dedication of our scholars.
The department provides world-class infrastructure and facilities that foster innovation, research and practical learning.
Experience the vibrant life of our department beyond the classrooms. Discover our upcoming events to join in, or browse our past events to see the exciting moments that have shaped our community.





Focus on software systems, data technologies, and cloud computing while developing practical skills to design scalable digital solutions for modern technology industries.
Develop expertise in design, manufacturing, and mechanical systems through hands-on training and exposure to emerging technologies such as robotics and smart manufacturing.