General Information

Institutional Information: Faculty Of Engineering And Architecture, Software Engineering
WoS Research Areas: Economics & Business, Computer Science, Computer Science Artificial Intelligence
Avesis Research Areas: Science, Technology and Society, Computer Sciences, algorithms, Information Security and Reliability, Database and Data Structures, Data Structures, Database Systems, Artificial Intelligence, Computer Learning and Pattern Recognition, Engineering and Technology

Names in Publications: ScineceOpen
Metrics

Publication

10

Citation (Scopus)

12

H-Index (Scopus)

2
Biography

a Senior AI & Data Scientist | Trainer | Solutions Consultant with a specialization in Large Language Models (LLM), Deep Neural Networks (DNN), analytical inferences, and statistical analysis. With over two decades of experience in management and information technologies, his expertise includes applying AI problem-solving architectures to social science research, business development, financial product solutions, R&D, and diverse industries.

With an interdisciplinary background, he has achieved success in both the industrial and academic sectors. Deniz currently assists organizations in adopting the AI problem-solving architecture through his innovative framework, Dahman’s Phi Services, thereby improving their business processes, efficiency, and innovation. He also uses this framework to support and oversee research for undergraduates, postgraduates, and scholars.

Holding a Ph.D. in Management Information Systems, Deniz is the originator and author of ‘The Big Bang of Data Science—from Academia to Industry.’ He has developed numerous algorithms and methods and published a number of peer-reviewed scientific publications, drafts, and media presentations. With international living and working experience, Deniz is characterized by his peers as analytical, inventive, focused on objectives, and deeply humanitarian.