About
Dr. Mohd Naved
Academic work across AI in education, responsible adoption, research methods, analytics, and intelligent systems, with a focus on making emerging technologies understandable and useful for students, faculty members, research scholars, and institutions.
Profile
My academic work connects classroom teaching, applied research, edited books, invited academic sessions, and public teaching notes. Current work is especially concerned with how generative and agentic AI are changing teaching, assessment, research supervision, academic writing, institutional policy, and faculty development.
This website brings together profile information, books, publications, teaching material, academic session themes, and notes for students, faculty members, research scholars, institutions, and collaborators.
Academic Focus
The central thread across my recent work is the responsible use of AI in academic settings. I am interested in practical questions: how faculty can redesign assessment, how research scholars can use AI without weakening originality, how departments can frame AI policy, and how academic institutions can develop capacity without treating tools as a substitute for judgment.
- Generative AI and Agentic AI in academic institutions
- AI-enabled teaching, assessment, and faculty development
- Responsible AI, classroom policy, disclosure, and academic integrity
- AI for literature review, research writing, and publication planning
- Business analytics, intelligent systems, forecasting, and decision support
Teaching and Academic Engagement
My teaching and academic engagement include lectures, faculty development programs, research scholar workshops, conference sessions, panel discussions, and institutional conversations on AI readiness and responsible academic use. Sessions are usually framed around concrete academic decisions rather than tool demonstrations alone.
Typical audiences include faculty members, research scholars, students, academic leaders, department teams, and institutions preparing practical AI adoption guidelines.
Academic Record
The academic record section collects books, edited volumes, publications, teaching material, and selected academic-session information in one place. Bibliographic and event details are expanded as complete source information becomes available.
Using This Website
Visitors looking for formal profile information should begin with the CV, publications, and books pages. Faculty members and research scholars may use the academic notes and teaching materials. Institutions and event organizers may review the speaking and workshop themes before sending an inquiry.