In today’s digital age, where information is readily accessible and content creation is widespread, ensuring the integrity of academic work has become increasingly crucial. Plagiarism, whether intentional or accidental, poses a significant threat to the credibility and authenticity of scholarly research. Given the complexity of academic writing and the rising adoption of AI tools, it’s vital to understand how to effectively utilize these technologies to uphold integrity and ensure originality in scholarly writing.
Key Benefits for Webinar Attendees
- Acquire AI-driven plagiarism prevention strategies
- Master AI tools to preserve research originality
- Gain expert guidance on responsible writing
- Grasp ethical implications of AI-generated text
- Learn how AI detection can avoid academic misconduct
- Boost manuscript acceptance chances
Who Should Attend This Session?
- Graduate students
- Early-stage researchers
- Doctoral & postdoctoral students
- Established researchers and academicians
- Editors
- Peer Reviewers
Speakers' Profiles
Dr. Krishna Kumar Venkitachalam
Innovation Officer at
Trinka AI
Dr. KK is an orthopedic surgeon by qualification with 15+ years of experience in academic publishing under various roles, including manuscript editing, manuscript writing, editor training, author education, language technology solutions, and innovation. As an editor/writer, he has helped hundreds of authors/researchers publish their research in leading journals worldwide. Being passionate about science communication and teaching, he has conducted several interactive training programs and author workshops. These included touring workshops in India and internationally along with online workshops in collaboration with universities and publishers. With his background in academia, experience in science communication experience, and affinity towards technological solutions, he plays a role as a consultant in the integration of new technologies to publishing platforms and for designing customized publication solutions for institutions and publishers.
Piyush Agarwal
Lead Product Manager at
Trinka AI
Piyush has 12 years of experience in designing and building cutting-edge digital products in the education, technology, and academic publishing industries. Over the period of last decade, as a product manager, he has worked with large corporates, SMEs, start-ups, and start-up accelerator, adding immense value to their businesses. As a developer turned product manager, he uniquely stands at the intersection of business and technology with experience in both the Corporate and start-up world. Piyush is Lead Product Manager at Crimson and heads the product and design teams of Trinka.ai and Enago Read. Piyush is focused on leveraging the power of AI to solve the researchers’ problems and build a resilient tech ecosystem for the entire academic publishing industry.