Head of Data Science & Products at CDP
A lead data scientist who builds and manages high performing data science product teams leveraging a combination of agile and crisp dm. I am passionate about developing processes and tools to effectively resolve business problems, drive insight from customer data and revolutionise IT operations. I derive enjoyment in strategically building products that lead into the development of a single platform that currently could provide real time recommendations for a water network. Being an open-source advocate has led me to collaborate with universities to offer projects for data science students and see those young minds flourish. A big Augmented not Artificial Intelligence advocate.
CSO & Co-founder at Bigfinite
Co-founder and CSO of Bigfinite, member of the PDA scientific committee, Lead of the AI in Operations team for the AI Xavier University and professor of AI subjects at the University (UAB), member of the Science Experts in the Spanish Parliament on big data and artificial intelligence. Toni has written numerous articles in the Pharma field and holds international patents related to the encryption, storage and processing of large volumes of data for regulated environments in the cloud. Toni is Physicist, Master in Information and Knowledge Society and post graduated in quality systems for manufacturing and research pharmaceutical processes.
Research Scientist & Author
Prof. Shashikant Patil is a Fellow of Institution of Engineers; IETE and IRED as well as Senior Member ACM & Senior Member IEEE with 20 years’ Teaching and Research experience. He is a recipient of Best Researcher Award 2014 of SVKMs NMIMS Shirpur. He has shouldered the responsibilities as Section Ambassador; Regional Lead Ambassador for IEEE Day 2014 2015 & 2016. He is member of IEEE RFID; SIG Member of IoT; Managing Editor for IEEE SDN; IEEE RFID SC & EiC for IEEE CRFID Newsletter; Jury Member IEEE SIGHT; Travel Grant Chair for IEEE DySPAN 2017; TPC Member for more than 300 Conferences with more than 60 publications. He is Potential Reviewer and Journal Referee for SCI/SCIE/Scopus indexed Journals and associated with teaching fraternity all over the globe.
CEO of Iprova
Julian Nolan is the founder and CEO of Iprova, a scale-up technology company with offices in the UK and Switzerland.
Iprova uses advanced ML and NLP techniques to bring a digital, data-driven, approach to the creation of commercially-relevant inventions with an unprecedented speed and diversity. Iprova has created hundreds of inventions which have been the subject of patent filings by many leading global technology companies.
Before starting Iprova, Julian was Vice President of Licensing for Honeywell in Europe. Julian holds a first degree in electronic engineering, postgraduate degrees in subjects which include artificial neural networks, and over 300 patent filings.
Chairman, Quant Prophets
MA, MBA, CPA
Michael E. Bryant, MA, MBA, CPA, CBE, serves as Chairman of the Board of Quant Prophets, a firm active in the development and application of quantum computing, artificial intelligence and machine learning, and blockchain technology, in the quantitative finance, healthcare, metals and mining, and fashion sectors. He frequently serves as an Event Speaker, Panelist, and Conference Workshop Instructor in these disciplines.
Michael formerly served as the Chairman of the Board of Healthcare Data Technology, and as Chairman of the Board of World Blockchain Foundation (.Net). He is Certified Public Accountant, a Certified Blockchain Expert, and a CFA Level I Candidate.
Associate Professor at National University of Sciences and Technology, Islamabad, Pakistan
Post-Graduation in Medical & Health Sciences, University of Oxford, UK, 2018 Post-Doc in Decision Sciences, University of Manchester, UK, 2011 PhD, University of Manchester, UK, 2008/09 MPhil, University of Manchester, UK, 2005 MS, University of Manchester Institute of Science and Technology (UMIST), UK, 2003
Dr Usman Qamar has over 15 years of experience in data engineering and decision sciences both in academia and industry. He has a Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil in Computer Systems was a joint degree between UMIST and University of Manchester which focused on feature selection in big data. In 2008 he was awarded PhD from University of Manchester, UK. His Post PhD work at University of Manchester, involved various research projects including hybrid mechanisms for statistical disclosure (feature selection merged with outlier analysis) for Office of National Statistics (ONS), London, UK, churn prediction for Vodafone UK and customer profile analysis for shopping with the University of Ghent, Belgium. He has also done a post graduation in Medical & Health Research, from University of Oxford, UK, where he worked on evidence-based health care, thematic qualitative data analysis and healthcare innovation. He has authored over 150 peer reviewed publications which includes 3 books published by Springer & Co and over 40 Impact Factor Journal Publications. He is Associate Editor of Computers in Biology and Medicine and Array, member of Elsevier Advisory Panel as well as Charles Wallace Fellow and British Council Fellow. He has also successfully supervised 5 PhD students and over 70 Master students. He has received multiple research awards, including Best Book Award 2017/18 by Higher Education Commission (HEC), Pakistan and Best Researcher of Pakistan 2015/16 by Higher Education Commission (HEC), Pakistan.
Data Scientist and Educator
Dr. Mohammed Khursheed Akhtar has more than 30 years’ experience in the field of Teaching, Research, Consulting and IT. He is working as a Senior Advisor/Data Scientist/Head/Deputy Project Manager in different departments of King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia since 1989.
He is currently employed as a Senior Advisor at Research and Studies Unit at Strategic Center to Kingdom Vision Realization in King Abdulaziz University since August 2019 until today.
He worked as a Data Scientist at Web Observatory for Web Studies since April 2017 to July 2019. He worked as a Research Fellow at Strategic Department of KAU from 2011 to 2107, as a Deputy Project Manager in KAU-ERP Implementation Project in King Abdulaziz University from October 2008 to 2011.
His research interests are in application of Big Data, Machine Learning, Artificial Intelligence, Statistical Modelling., ERP (SAP) Architecture and Computer Component-Based Development (CBD). Software Development Methodologies, Risk Management. Geographical Information systems, Relational Database Development & Project Management.
Author of 5 books (under publication), more than 10 chapters and 25 published articles and co-author of more than 20 articles and conference publications. He delivered lecture on several conferences and Seminars as a Speakers.
Ph.D. in Health-Statistics, BHU
I am currently serving as Assistant Professor and HOD-In-charge of Mathematics and Statistics Department at SRM Sikkim University, Gangtok (Sikkim) India. Before joining SRM Sikkim University I have worked as prestigious Health Corps Fellow in the Analysis Unit, Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka (2018-2019).I have worked as Assistant Professor-cum-Statistician at Meenakshi Mission Hospital, India; Monitoring and Evaluation Officer at National AIDS Control Organization and Futures Group International and Statistician at DUVASU University in India.
Rakesh holds a PhD and MSc in Health-Statistics from the Institute of Medical Science, Banaras Hindu University (BHU); and Master of Population Science from the International Institute for Population Sciences, Mumbai.
Statistical and Epidemiological data analysis with R, Stata, Python, Epi-Info, Epi-Map
Research Area-Survival Analysis, Multivariate data analysis, Machine learning
Research Scientist at National Research Council of Canada
Dr. Deepak Kallepalli is a co-founder at the Grey Slide Imaging Inc., Ottawa. He is also currently working jointly with the University of Ottawa and National Research Council of Canada. He contributes articles on data science to Amazon. His expertise areas are in materials processing using lasers, laser-induced forward transfer, spectroscopy, nanoscience and technology, and data science. He also has experience in simulations using Python, C/C++, and MATLAB with knowledge in data science, machine learning, artificial intelligence, and Big Data.
Physicist and Researcher
PhD - Physical Science, Postdoc-Independent Research on Light-matter Interaction
Currently, my research interest lies in science at the intersection of optics and condensed matter physics, especially in the area of Optomechanics. Also, modern techniques of machine learning & Big data science towards natural science, where algorithms are used to simulate and study the scientific discoveries in physics applications such as prediction of material properties, analyzing phase transition and creating new compounds and soft body simulation etc. The activities include numerical analysis, design, develop machine learning and data models, statistical and data analysis, debugging the data models and conducting research to improve model accuracy by collaborating with experts.
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