Professor of Applied AI & Commercialization

As an accomplished scholar with expertise in Applied Artificial Intelligence (AI), AI-driven Innovation, and Technology Commercialization, you will play a crucial role in bridging AI research with industry applications, fostering innovation, and driving AI-led entrepreneurship. **Key Responsibilities:** - Conduct high-impact research in Applied AI, commercialization, and AI-driven business models. - Develop and deliver cutting-edge courses in AI applications, innovation management, and AI commercialization. - Engage with industry to drive research collaborations, technology transfer, and commercialization of AI-based innovations. - Mentor students and guide research projects, startups, and incubation initiatives. - Secure research grants and funding for AI-driven commercialization projects. - Contribute to curriculum development, interdisciplinary collaborations, and academic administration. - Organize workshops, conferences, and industry engagement initiatives in AI and entrepreneurship. **Qualifications & Experience:** - Ph.D. in AI, Machine Learning, Data Science, Innovation Management, or related fields from a reputed institution. - A strong record of research publications in top-tier journals (ABDC, Scopus, Web of Science, IEEE, ACM, etc.). - Experience in AI commercialization, startup ecosystems, or technology transfer is highly desirable. - Minimum 5-10 years of teaching and research experience in AI and its business applications. - Strong industry connections and experience in collaborative research with tech firms, incubators, or venture capitalists. - Expertise in applied AI fields such as computer vision, NLP, generative AI, predictive analytics, and AI ethics.,