I am Dr. Deepika S, currently working as an Assistant Professor at RV University, Bengaluru. I am a dedicated academician and passionate researcher in the field of Artificial Intelligence and Deep Learning, with over 9 years of teaching experience and 5.5 years of research experience. I hold a Ph.D. in Computer Science and Engineering from Vellore Institute of Technology (VIT), Vellore, where my doctoral research focused on advanced deep learning techniques for heart disease classification using echocardiogram videos. I completed my M.Tech in Computer Science and Engineering from Dayananda Sagar College of Engineering, affiliated with Visvesvaraya Technological University (VTU), and earned my B.E. in Computer Science and Engineering from VTU as well.

My core areas of expertise include machine learning, convolutional and recurrent neural networks, transfer learning, and medical image and video analysis, particularly using echocardiogram sequences. I have published several research papers in reputed SCIE and Scopus-indexed journals, including IEEE Access, The Scientific Temper, and The Open Biomedical Engineering Journal. Notably, I was honored with the Raman Research Award twice and the Abdul Kalam Award from Vellore Institute of Technology for publishing in IEEE-indexed journals. I have participated in and conducted numerous workshops, webinars, and seminars, and have delivered invited talks at various engineering colleges on the applications of Artificial Intelligence.

Beyond my research, I actively contribute to syllabus development, lab course design, and examination coordination, while also mentoring undergraduate and postgraduate students in AI-driven interdisciplinary projects. My approach to education is guided by creativity, curiosity, and a strong commitment to bridging academic theory with real-world impact.

My current research is directed towards expanding into the broader area of medical imaging, including modalities such as MRI, CT, and ultrasound, to detect novel diseases using intelligent, scalable, and clinically deployable AI models. I aim to develop advanced diagnostic tools that offer effective and early solutions for complex medical challenges.

Apart from academics, I have a keen interest in digital storytelling, generative AI, and design tools. I enjoy playing chess and badminton, building websites, and continuously exploring innovations at the intersection of technology and creativity. I believe education is not merely the transmission of knowledge but a transformative journey that empowers learners to think critically, innovate responsibly, and contribute meaningfully to society.

Dr. K. Thenmozhi – She is working as an Assistant Professor at the School of Computer Science and Engineering, RV University, Bangalore, Karnataka and India. She holds a Doctoral Degree (Ph.D.) in Computer Science in 2020 from Anna University, Chennai, Tamil Nadu, India. She done her Master of Computer Applications (MCA) degree in 2010 from the same university, following her undergraduate studies in Physics (B.Sc.), which she completed in 2007 at Bharathidasan University, Tiruchirappalli, Tamil Nadu.

She is a dedicated and passionate educator with 11 years of teaching experience in higher education, specializing in Computer Science. Committed to fostering student success via dynamic lectures, innovative teaching strategies, and effective classroom management. Demonstrates a strong ability to simplify complex concepts and motivates students to excel both academically and in research.

She has published approximately 30 research articles in reputed journals and conferences, with more than 15 of them indexed in Scopus with good impact factor. Her commitment to innovation is also reflected in her two published patents. In addition, she has contributed as a reviewer for Scopus-indexed journal and IEEE conferences. She was honored with the Best Faculty Award at Selvam College of Technology, Namakkal, during the academic year 2017–2018. Additionally, she has served as a mentor for two NPTEL courses and received certificates recognizing her contributions. An active member of various professional bodies, she has also participated in numerous Faculty Development Programs, seminars, and workshops. Her research interests include Machine Learning, Distributed Clustering, Bioinformatics, Soft Computing, and related areas.

I am a dedicated research enthusiast with a strong passion for lifelong learning, teaching, and technological innovation. With a unique blend of academic insight and real-world industry experience, I bring a holistic approach to both research and education. My professional journey spans roles in the software industry as a software engineer and application engineer, teaching in academia, and conducting focused research in Artificial Intelligence and Machine Learning—particularly in the areas of Computer Vision and Medical Image Analysis.

My research work has led to the successful execution of several AI/ML-based projects and publications in reputed international journals and conferences. As a faculty member and researcher, my mission is to inspire and empower students, drive impactful research, and contribute meaningfully to academic and institutional development.

Chethan Kumar G, currently pursuing a Ph.D. in Mechanical Engineering at Visvesvaraya Technological University (VTU), is an educator and researcher with interests in additive manufacturing, and the design and analysis of mechanical components. The academic contributions include teaching, research, and curriculum development aimed at connecting theory with practical application.

Actively involved in organizing workshops, seminars, and technical events and works to create meaningful learning experiences for students and faculty alike. The role also includes developing instructional materials and designing courses that support technical skill-building.

Guided by a teaching philosophy focused on creativity and critical thinking and committed to preparing students for real-world engineering challenges. The combined academic and research expertise positions him as a valuable contributor to mechanical engineering education.

Dr. S. Thiruselvan is an Associate Professor in the School of Computer Science and Engineering at RV University, Bengaluru. He brings over a decade of rich experience spanning academia, research, and industry, with a deep commitment to advancing computer science and fostering interdisciplinary innovation.

He earned his Ph.D. in Computer Science from the National Institute of Technology, Tiruchirappalli, where his research focused on cloud service evaluation and selection in federated cloud environments. His broader research interests include Cloud Computing, Data Science, Optimization, and Decision Science. He has published widely in reputed international journals and conferences and actively collaborates on applied and cross-disciplinary research projects.

Dr. Thiruselvan has contributed to several impactful initiatives, including projects in quantum-inspired computing, intelligent systems, urban mobility solutions, and cloud pricing models. He is also a granted patent holder in the domain of smart environmental control systems.

In his academic career, he has held faculty positions at GITAM University, Presidency University, and Vignan’s Foundation for Science, Technology & Research. He also brings industry experience from his role as a Software Engineer at Softeon Inc. His teaching approach emphasizes the integration of theory and practice, mentoring students in areas such as computational thinking, smart technologies, and applied analytics.

Dr. Thiruselvan is committed to driving innovation through interdisciplinary research and collaborative problem-solving that addresses real-world challenges.

Dr. V. Balaji is currently working as an Assistant Professor in the School of Computer Science and Engineering at RV University, Bengaluru, Karnataka, India. With over 11 years of experience in academia and research, he specializes in Human-Computer Interaction, Accessible Computing, Assistive Technologies, Artificial Intelligence, and the Internet of Things (IoT).

He holds a Ph.D. in Computer Science and Engineering, specializing in Accessibility Information Retrieval from Pondicherry Central University.

Over the course of his career, Dr. V. Balaji has contributed to research through international journal publications, book chapters, and reputed international conference papers. He has three patents in the areas of Data Science and IoT.

In addition to his research accomplishments, he is actively involved as a reviewer for many international journals and a technical program committee member for academic events. He has also received several awards and honors, including:

1. National Award from the Honorable former President of India, Shri Ram Nath Kovind, for “Best Applied Research and Technical Innovation Aimed at Improving the Lives of Persons with Disabilities” in 2017 (Ministry of Social Justice, Government of India).

2. State Award for “Best Individual Serving the Cause of Persons with Disabilities” in 2015 (Department of Social Welfare, Government of Puducherry, India).

3. Mphasis Universal Design Award 2023 from NCPEDP (National Centre for Promotion of Employment for Disabled People), New Delhi, India.

4. Dheyepurti Puraskar National Award for “Best Individual Serving the Cause of Persons with Disabilities” in 2019 (Nutan Gulgule Foundation, Mumbai, India).

His research interests and goals focus on developing accessible, innovative solutions for real-world problems using machine learning and data science. He is passionate about mentoring and empowering his students.

Dr. Nagaraja J is an accomplished academician and researcher with over the years of teaching and research experience in the field of Computer Science and Engineering. He has consistently contributed to academic excellence, institutional development, and innovative research.

He earned his Ph.D. in Computer Science and Engineering from Visvesvaraya Technological University (VTU), Belagavi, with a research focus on enhancement techniques for microarray images. He also holds an M.Tech in Computer Network Engineering and a B.E in Electronics and Communication Engineering.

His research interests span image processing, machine learning, blockchain applications, IoT, and healthcare technology. He has published extensively in reputed international journals and conferences, including Scopus and IEEE indexed publications. He is also the recipient of Research grant funded by IIT Bhilai.

Dr. Nagaraja holds two granted patents in the fields of medical data transmission and smart billing systems.

Dedicated, collaborative, and forward-thinking, remains committed to nurturing the next generation of engineers and contributing to impactful research that bridges technology and societal needs

Shyam Mohan J S completed his Ph.D. and Master of Engineering from Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV) – Deemed to be University in 2022 and 2012. He has worked in the same University from 2009 till 2022.

He completed his MBA (Banking and Finance) in 2011 from Alagappa University. He received his B.E. (Computer Science and Engineering) from Anna University, Chennai in 2008.

He is currently working as Associate Professor in the School of Computer Science and Engineering, R V University, Bengaluru, India. He has 19 years of experience in Teaching. He is acting as Thesis Supervisor for M.S and DBA Scholars in IIBM Institute of Business Management and UpGrad.

He was an active member of NSS, UBA, and other committees at SCSVMV. He has presented many research papers at International conferences, published papers in Book chapters, and referred Journals. His research areas include Big Data Analytics, Cloud Computing, Blockchain Technology, and the Internet of Things (IoT). He is a reviewer in many International Journals. He is a member of various technical bodies, including UACEE and IAENG.

Dr. Basavaraj Patil is working as a Assistant Professor in the School of Computer Science and Engineering at R.V. University, Bengaluru. He brings over a decade of extensive teaching and research experience, with expertise in Wireless Multimedia Sensor Networks, Cybersecurity, Blockchain Technology, Mobile and Web Applications.

Professionally, he is a Senior Member of IEEE & IEEE Computer Society and Life Member of ISTE, and affiliated with international bodies such as IE(I), IAENG, IACSIT, and IFERP.

He is actively contributes to academic leadership as Board of Studies/Examination Member, and Coordinator for academic quality initiatives. He is committed to outcome-based education and student-centered learning, focusing on industry-readiness and ethical competence.

Welcome to the Matrix !

Outstanding Achiever Award (CISCO Systems) for individual contribution as a software developer

Rising Star Award (NIIT Technologies) for leading a team and launching a data science product for US, India and China markets