Elevate your academic research and streamline your path to high-impact publishing with this intensive masterclass. Designed for researchers, faculty members, and postgraduate students, Master AI for Research equips participants with cutting-edge artificial intelligence tools and strategies to work smarter and publish faster. Delivered by Dr. Kamran Hameed, Director of CETA at UMT, this course covers everything from AI-assisted literature reviews to strategic publication planning for top-tier Q1 journals.
Course Content & Key Areas
AI Writing & Literature Review
Leveraging AI tools to conduct rapid, comprehensive literature syntheses.
Enhancing academic writing quality, structure, and tone with AI assistance.
Research Automation & Productivity
Automating repetitive research tasks to maximize output.
Streamlining reference management, data organization, and workflow setup.
Q1 Publication Strategy
Aligning your manuscript with Q1 journal expectations and scope.
Strategic journal selection, submission tactics, and navigating peer review processes efficiently.
Ethical Use of AI in Research
Understanding academic integrity guidelines and AI disclosure standards.
Maintaining research originality, avoiding plagiarism, and mitigating bias.
PhD Management Scholar (University of Management & Technology), and teaching BBA and MBA level courses. Teaching courses include Strategic Management, Professional Practices, Managing Knowledge in Organizations and Human Resource Management. Research areas include strategic management, entrepreneurial ecosystems and innovation Management, Sustainable Environment, and Organization behavior. Provided consultancies and training on survey research, data analysis, and monitoring and evaluation of government projects.