Please note that the content and functionalities on this website, particularly those involving generative artificial intelligence (AI) components, are provided for informational and educational purposes only. The Global Centre for Risk and Innovation (GCRI) employs advanced AI technologies, including machine learning and quantum computing, as part of our commitment to fostering innovation and managing global risks. However, users should be aware of the following: AI Limitations: While we strive for accuracy and relevance, AI-generated content and recommendations may not always be error-free or perfectly aligned with the specific context or needs of every user. No Substitute for Expertise: AI-generated insights or suggestions should not be considered a substitute for advice from qualified professionals. Users are encouraged to consult with appropriate experts for critical decisions. Data Use and Privacy: We prioritize the privacy and security of user data. AI components on this site operate under stringent data protection protocols. However, users should be cautious about sharing sensitive personal information. Continuous Improvement: The AI systems, including embedded components, are continually evolving. Features and functionalities may change over time as part of our commitment to innovation and improvement. Feedback and Reporting: User feedback is invaluable for enhancing AI accuracy and effectiveness. Please report any issues or inaccuracies in AI-generated content to help us improve. Ethical Use: AI tools and data should be used responsibly and ethically, consistent with GCRI’s principles and objectives. Misuse of AI-generated content or tools for harmful purposes is strictly prohibited. No Liability: GCRI is not liable for any direct or indirect consequences arising from the use of AI-generated content or tools on this site. By using the AI components and tools on this site, you acknowledge and agree to these terms. We thank you for your interest in GCRI and our efforts to harness technology for the greater good.
Please note that the content and functionalities on this website, particularly those involving generative artificial intelligence (AI) components, are provided for informational and educational purposes only. The Global Centre for Risk and Innovation (GCRI) employs advanced AI technologies, including machine learning and quantum computing, as part of our commitment to fostering innovation and managing global risks. However, users should be aware of the following: AI Limitations: While we strive for accuracy and relevance, AI-generated content and recommendations may not always be error-free or perfectly aligned with the specific context or needs of every user. No Substitute for Expertise: AI-generated insights or suggestions should not be considered a substitute for advice from qualified professionals. Users are encouraged to consult with appropriate experts for critical decisions. Data Use and Privacy: We prioritize the privacy and security of user data. AI components on this site operate under stringent data protection protocols. However, users should be cautious about sharing sensitive personal information. Continuous Improvement: The AI systems, including embedded components, are continually evolving. Features and functionalities may change over time as part of our commitment to innovation and improvement. Feedback and Reporting: User feedback is invaluable for enhancing AI accuracy and effectiveness. Please report any issues or inaccuracies in AI-generated content to help us improve. Ethical Use: AI tools and data should be used responsibly and ethically, consistent with GCRI’s principles and objectives. Misuse of AI-generated content or tools for harmful purposes is strictly prohibited. No Liability: GCRI is not liable for any direct or indirect consequences arising from the use of AI-generated content or tools on this site. By using the AI components and tools on this site, you acknowledge and agree to these terms. We thank you for your interest in GCRI and our efforts to harness technology for the greater good.
Usman Akhtar
Principal Researcher
Dr. Usman Akhtar, a dynamic and results-oriented postdoctoral researcher, is driven by a deep passion for technological innovation and a firm commitment to advancing research in digital health and related areas. With a Ph.D. in Computer Science & Engineering, Dr. Akhtar possesses a comprehensive understanding of Cloud Computing/Big Data and continuously seeks to explore new technological frontiers.
Leveraging his rich academic background, Dr. Akhtar specializes in various technical domains, including computational complexity problems, cloud-centric IoT, data acquisition and curation, cloud computing, Explainable AI, wellness-based ubiquitous platforms, performance-based applications, software engineering and architecture, and parallel and distributed systems. This diverse skill set makes him a valuable asset for impactful international projects.
His research spans multiple critical areas: Cloud-centric IoT, Data Acquisition & Curation, Cloud Computing, Wellness-based Ubiquitous Platforms, Performance-based Applications, Software Engineering & Architecture, and Parallel & Distributed Systems. His expertise is evident in his contributions to enabling cloud solutions for data acquisition, synchronization, and persistence.
Beyond academia, Dr. Akhtar is a passionate researcher with strong interests in DevOps, Data Science, and System Administration. He has experience architecting and implementing robust DevOps pipelines, optimizing system performance, and ensuring seamless deployment processes. He seamlessly integrates data science techniques to extract insights, drive informed decision-making, and enhance operational efficiency. His primary research areas, including Cloud Computing, Big Data, and Digital Health, demonstrate his commitment to advancing technology and making a lasting impact in the ever-evolving field of computer science and engineering.
