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
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. 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.
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.
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.
Ms.H.Dhanalakshmi holds a Master’s in Echocardiography from Manipal Academy of Higher Education and a Bachelor’s degree in Cardiovascular Technology from Saveetha Medical College and Hospital. With a strong foundation in life sciences, clinical research, and advanced cardiovascular imaging, she brings a well-rounded approach to both teaching and clinical practice.
She is skilled in echocardiography, Doppler techniques, clinical cardiology, and is certified in Advanced Cardiovascular Life Support (ACLS). Additionally, Ms.Dhanalakshmi is a Certified Member of the European Association of Cardiovascular Imaging and a member of the European Society of Cardiology (ESC), with her membership credential ESC ID: 1342629 (Issued May 2023).
Her academic work emphasizes interactive learning, clinical reasoning, and real-world application. In addition to her teaching responsibilities, she is actively involved in research focused on improving diagnostic accuracy and patient outcomes in cardiac care.
Ms.H.Dhanalakshmi is passionate about mentoring future healthcare professionals and is committed to excellence in cardiovascular education, innovation, and patient-centred practice.
Mr. Vinod Kumar Raju is a learning specialist with over 15 years of diverse experience as a software developer, data analyst, analytics consultant and an IT trainer for working professionals. Having spent over 10 years in the ed tech industry in various capacities as a trainer, instructional designer, team lead and product manager. Vinod Raju has successfully delivered multiple high impact data analytics trainings for audience in India, USA, Europe and Australia. His research interests are in application of AI/ML algorithms in distributed low power edge IoT devices.
Dr. Shouvik Chakraborty is a seasoned professional with over 6 years of experience in Academic Research, Teaching and Industrial Product Development. He has completed his PhD in Autonomous Systems from IIEST Shibpur in the year 2022. His Doctoral research focuses on the development of embedded estimation and control strategies for Autonomous Driving Assistance.
He has extensive experience in end-to-end product development in the domain of IoT, Embedded Systems and Full Stack Web Development in an industrial setup. He has led muliple projects from conceptualizatin to design and testing to commisioning. His research interest caters to the domain of Autonomous Robotics, Machine Learning and Sensor Fusion.
He hobbies includes tinkering with electronics. He also has special interest in Music and Travelling.
Logesh V is a visual artist, storyteller, and design educator with a knack for turning blank canvases into bold ideas. From mural walls to motion graphics, his creative journey has taken many forms, such as illustrator, visualiser, storyboard artist, art director, and sometimes, a one-person design army.
With a deep interest in the intersection of culture, craft, and communication, Logesh brings narrative-driven thinking into every project he touches. His teaching style leans into dialogue, theory, and curiosity, less about rigid rules, more about asking, “What if?” and “Why not?”
When not obsessing over linework or lecture notes, he’s probably collecting more visual references or finding poetry in everyday chaos.
Prof. Sharfas is an Assistant Professor at the School of Allied and Healthcare Professions, RV University, Bengaluru. He holds a B.Sc. (Hons) in Medical Technology in Radiography from AIIMS Bhubaneswar, an M.Sc. in Cardiovascular Imaging and Endovascular Technologies from AIIMS New Delhi, and an M.A. in Psychology from IGNOU. His interdisciplinary expertise bridges advanced medical imaging, endovascular procedures, and psychological insights, fostering a comprehensive approach to patient care and education.
Beyond teaching, Prof. Sharfas has contributed to research initiatives, including his master’s thesis titled “”Comparison of Self-Navigated Coronary MR Angiography with CT Coronary Angiography in Patients with Congenital Heart Disease.”” This study, conducted in collaboration with Siemens Healthineers R&D, aimed to reduce dependency on CT imaging for patients with congenital heart disease, particularly benefiting those with iodine contrast contraindications.
Prof. Sharfas is committed to student mentorship, research, and patient education, underscoring a dedication to advancing allied health sciences. Through a blend of academic rigor and compassionate care, he continues to inspire and shape the next generation of healthcare professionals.
