Dr. Sarasvathi V, Professor (SoCSE) at RV University, has 21+ years’ experience in teaching, research, and leadership, specializing in Cybersecurity, AI, Blockchain, and IoT, with 50+ publications, two patents, and extensive academic contributions.

Dr. Sheela S, Assistant Professor in School of Computer Science and Engineering, RV University, specializes in AI, ML, IoT, and Vehicular Networks with 15+ years’ experience in teaching, research, and innovation.

I am a theoretical quantum physicist specializing in quantum optics, quantum information theory, and nonlinear dynamics. I earned my Ph.D. in Physics from the University of Mysore, Mysuru, in 2021.

From 2021 to 2023, I was a postdoctoral fellow at the Indian Institute of Science Education and Research (IISER), Mohali, working in the Quantum Optics and Quantum Information Group. My research there focused on foundational and applied aspects of quantum mechanics, including geometric phases, spin squeezing, and entanglement.

Between 2023 and 2025, I held a postdoctoral position at the Hebrew University of Jerusalem, Israel, in the Nonlinear Physics Group, where I studied soliton interactions and related nonlinear wave phenomena. I also spent three months as a postdoctoral fellow at the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bengaluru, in the Engineering Mechanics Unit, applying mathematical physics methods to problems in continuum mechanics.

My work combines analytical techniques and mathematical modeling to investigate complex quantum and nonlinear systems. I have contributed to understanding how geometric phase manifest in quantum systems, the generation and characterization of quantum correlations, and the dynamics of nonlinear excitations in diverse physical settings.

Broadly, my research interests include mathematical physics, quantum optics, quantum information theory, nonlinear dynamics, and continuum mechanics.

Hari is a thought leader with extensive functional leadership experience in managing multi-disciplinary, high-performance teams of engineers, architects, and product owners across domains such as Telecom, Enterprise Application Development, and BFSI. He has built and nurtured technology teams in India, the US, Canada and Hungary, working with both government and private organizations including the Indian Space Research Organization (ISRO), Hewlett-Packard, Bell Labs – Lucent Technologies, Alcatel-Lucent, and Nokia Networks. Hari also ventured into entrepreneurship, serving as Group CTO and Managing Director at Testenium India Private Ltd. He is an alumnus of IIM Bangalore and holds a Master’s degree in Data Science Engineering from BITS Pilani.

Dr. Shivi Sharma is a passionate educator and researcher with more than a decade of experience in teaching, training, and working on projects related to Artificial Intelligence, Machine Learning, and Data Science. She holds a Ph.D. in Computer Science and Engineering, with her work focusing on applying AI in areas like healthcare, agriculture, education, and cybersecurity.

Over the years, she has guided many B.Tech, M.Tech, and Ph.D. students in developing real-world AI-based solutions. Her areas of interest include large language models, NLP, reinforcement learning, and predictive analytics.She has published many research papers in SCI and Scopus-indexed national and international journals and conferences. Along with academic writing, she has contributed book chapters and reviewed papers for reputed journals.

Dr. Sharma also holds several patents in AI-driven technologies, including smart crop monitoring, AI-powered healthcare devices, and intelligent systems for automation and safety. She believes in hands-on learning and often encourages students to build practical and socially relevant projects.

She has been invited as a guest speaker and resource person at various institutions and conferences, including IIT Bombay, DIET,SCERT, SAMETI and state-level academic forums. She has delivered expert sessions for teachers, researchers, and professionals on topics like AI in education, ethical use of technology, and AI for social good.

Dr. Sharma is actively involved in academic leadership, curriculum design, and student innovation programs. She enjoys creating a learning environment that blends theory with practice, and always aims to make complex AI concepts simple and accessible. Her focus remains on encouraging responsible use of AI and inspiring young minds to solve real-world challenges through technology.

With over 10+ years of experience in academia, I am a passionate and dedicated educator specializing in Computer Science and Engineering. I have been instrumental in mentoring and shaping future engineers, fostering not only their technical proficiency but also a strong foundation in core computing principles critical in today’s digital world.

My areas of interest include networking, operating systems, and programming languages I continually strive to integrate the latest industry developments into my teaching, ensuring students gain both theoretical knowledge and hands-on exposure to real-world challenges.

Beyond teaching, I actively engage in curriculum development, student projects, and academic mentoring, aiming to bridge the gap between classroom learning and industry expectations

I’m Sunilkumar J, an Assistant Professor with a passion that goes beyond the walls of a classroom. I don’t just teach—I aim to ignite curiosity, foster innovation, and inspire students to explore the world of technology with confidence and purpose.

My academic journey has been driven by an enduring enthusiasm for cybersecurity and computer networks. These fields aren’t just subjects to me; they’re dynamic, ever-evolving frontiers where curiosity meets challenge, and theory turns into real-world impact. I bring this excitement into every lecture, hands-on session, and project, helping learners not only understand concepts but also apply them in meaningful ways.

With a solid foundation in networking concepts and a sharp eye for system vulnerabilities and digital defense, I continuously seek to stay ahead in this fast-changing digital landscape. My goal is not only to keep learning myself, but to mentor others on how to learn critically, adapt quickly, and think independently.

What truly drives me is the transformation I see in my students—from hesitant learners to confident problem-solvers and innovators. I believe education should empower, not just inform. That’s why I strive to make every session engaging, relevant, and filled with opportunities for growth.

Outside of the classroom, I’m an explorer of emerging trends, always eager to integrate real-world cybersecurity practices into academic spaces. Whether it’s guiding ethical hacking exercises, encouraging secure coding, or introducing new tools, I ensure my teaching reflects the demands and opportunities of today’s tech world.

In every connection made, every concept explored, and every mind inspired—I find purpose.

Let me know if you’d like to add your qualifications, achievements, or anything more specific.

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.

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.