Speakers
Achintya Haldar, Ph.D.
Dr. Achintya Haldar is active in the related areas of this presentation for over four decades and has published extensively. He taught at Illinois Institute of Technology, Georgia Institute of Technology, and now at the University of Arizona. He was a Guest Professor at the University of Tokyo, Visiting Professor at the IISc -Bangalore, IIT - Kanpur, Hong Kong University of Science & Technology, Technical University of Ostrava, Czech Republic, Honorary Distinguished Visiting Professor at BESU. He also worked Engineers India Ltd, New Delhi and Bechtel Power Corp, Los Angeles. Dr. Haldar has published over 640 technical articles (Google Scholar), including 12 books (edited included), and 38 book chapters. Dr. Haldar is a Distinguished Member of ASCE and a Fellow of SEI. He also received Lifetime Achievement Award from the Society for Reliability and Safety and an Honorable Diploma from the Czech Society for Mechanics. He received the highest teaching award from the University of Arizona and inducted in to Teaching Excellence Award Wall, Georgia Tech. He received many research awards including from President Reagan, ASCE's Huber Civil Engineering Research prize, and John C. Park Outstanding Civil Engineer Award. He received Excellence in Research Journal Award, IGI Global; Certificate of Recognition from Universidad de Cartagena, Colombia; Polis University, Albania; EuroSciCon, France; Euro Congress, London; Certificate of Appreciation, Taishan Academic Forum on Structural Safety and Reliability Assessment, China; and Honorable Recognition Award from ASME.
Alan Wang, Ph.D.
Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, signal processing, data informatics, machine learning, and biomedical statistics and simulation. He has developed advanced data analytics methods for intelligent health and personalized diagnosis and prognosis based on signal processing and machine learning theories. He has experience analyzing huge cohorts of data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.
Michael Harre, Ph.D.
Dr. Harre's research combines the psychology of decision theory with artificial intelligence to understand complex social dynamics. Currently he's working on how to replicate a 'theory of mind' for AI and how AI communities co-create knowledge and can cooperate with humans. More generally Dr. Harre is interested in the psychology of AI: how can we use what we know of the mesoscopic scale of human cognition to advance our understanding of machine intelligence, i.e. beyond what is being done at the micro-scale of modelling neurons. He also has extensive experience in agent based modelling, economics, big data analytics, and game non-linear dynamics.
Seyed Ghaffar, Ph.D.
Dr. Seyed Ghaffar is a Chartered Civil Engineer (CEng, MICE), a Member of the Institute of Concrete Technology (MICT) and a Fellow of the Higher Education Academy (FHEA). He is the leader of Additive Manufacturing Technology in Construction Research Group (AMTC). The focus of AMTC is on valorising construction and demolition waste using materials science and 3D printing to achieve the circular economy goals of sustainable construction. Dr. Ghaffar's research covers a number of construction materials, with a focus on the development of low-carbon technologies suitable for new and retrofitting applications by combining materials sciences and innovative technologies. He has been the PI or Co-I of ~£6M on 8 grants from EPSRC, British Council, and the EU H2020. Two projects worth noting are: "Direct Writing of Cementitious Inks to Scaffolds with Complex Microarchitectures (DiWoCIS) "and "Digital fabrication and integration of Material reuse for environmentally friendly cementitious composite building blocks (DigiMat)". Dr. Ghaffar is the Executive Editor of the Journal of Results in Engineering (Elsevier). He recently edited a book titled "Innovation in construction - A Practical Guide to Transforming the Construction Industry".
Marwan Omar, Ph.D.
Dr. Omar's Academic career has consistently focused on applied, industry-relevant cyber security, Data Analytics, machine learning, application of AI to cyber security and digital forensics research and education that delivers real-world results. He brings a unique combination of industry experience as well as teaching experience gained from teaching across different cultures and parts of the world. He has an established self-supporting program in machine learning application to cyber security. He has established a respectable research record in AI and cyber security exemplified in the dozens of published papers and book chapters that have gained recognition among researchers and practitioners (more than 272 Google scholar citations thus far). He is actively involved in graduate as well as undergraduate machine learning education including curriculum development and assessment. Dr. Omar has recently published two books with Springer on Machine Learning and Cyber Security and has also published research with IEEE conference on Sematic Computing. Additionally, Dr. Omar hold numerous industry certifications including Comptia Sec+, ISACA CDPSE, EC-Council Certified Ethical Hacker, and SANS Advanced Smartphone Forensics Analyst. Dr. Omar has been very active academia and the industry and he is currently serving as an associate professor of cyber security at Illinois Institute of Technology.