Prof. Erwin Sniedzins has patented the Knowledge Generator™ (KG); a Machine Learning, “MicroSelf-Reinforcement Learning, Artificial Intelligence, Personalize ‘Gamification’ of ANY digitized textual content application in DYNAMIC real-time. The KG technology enables people to turn Data into Knowledge (DiK) 32% better and easier with more confidence and fun. No teacher or course designer is required. Erwin is the President of Mount Knowledge Inc. The company is a global leader in ML, AI, neural networks, automatic gamification of any textual data and reinforcement learning. Erwin has authored and published 12 books, Keynote speaker, Professor at Hebei University and Mt. Everest expedition leader.

Artifioicial Intelligence, Neural Network, Natural Language Processing, Cognitive Computing, Speech Recognition

Ashraf Elnagar is a Professor of Artificial Intelligence in the Department of Computer Science at the University of Sharjah, UAE. He received his BSc and MSc in Computer Science from the University of Kuwait, Kuwait, and his and PhD (1993) from the University of Alberta, Canada. Recently, He formed the Machine Language & Arabic Language Processing Research Group in the University of Sharjah. He won a number of teaching, research and community and professional service awards. He is the recipient of the 1999 Shoman’s Best Young Researcher Award in the fields of Mathematics, Computer Science and Statistics in the Arab World. He supervised and examined numerous graduate students. He is serving on the editorial board of international journals as well as technical program committees of international conferences. His research interests include: machine learning, natural language processing, intelligent systems (robotics), and IT education.

Artificial Intelligence, Machine Learning, Natural Language Processing, Intelligent Systems (Robotics), IT education

Tarry is an industry-acknowledged Deep Learning Executive with over 17 years of experience setting up data analytics divisions for F500 multi-nationals. He is currently a mentor at Courser’a DeepLearning Specialization working with Andrew Ng, the world’s leading figure in Artificial Intelligence. Expected learners to be trained is around 1.5 million already by end 2018 via a MOOC program. This training was ranked #2 in the world out of 8000 trainings, according to the Inc. Magazine.

He is also an AI and Neuroscience Researcher who works and seeks guidance from world’s leading figures in deep learning industry such as Dr. Naftali Tishby, Geoff Hinton ands also Aalto University, to name a few whose advice he is seeking for research and his upcoming book on Deep Learning & AI.

Tarry works closely with Google’s Core TensorFlow team lead in San Francisco to deliver TensorFlow tutorials for various enterprises across the globe.

Tarry has also recently tied up with a Silicon Valley startup called Re:coded — which was featured on CNNMoney (http://money.cnn.com/2016/06/01/technology/jobs-syria-coding-flatiron-recoded/index.html), BBC, TechCrunch, Huffington Post to train deep learning enthusiasts around the world)

He is currently also writing a practical AI / Deep Learning book which is solely aimed to bridge the gap between business and technology by introducing meaningful projects so enterprises can finally move beyond grappling with the currently exploding world of Deep Learning and AI. Book ETA June/July 2018.

Tarry speaks, keynotes and chairs panels regularly at AI & Deep Learning Tech Conferences held in San Francisco (U.S), London (U.K), Finland, Sweden, Germany (Berlin), Guiyang, Beijing Hong Kong (China), Singapore, Turkey, Iraq and more.

In March 2018, his research paper on breakthrough Capsules Networks will be presented in ACM conference in Sweden.

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Neuroscience

Started at the age of 16 and became the youngest CTO at the age of 21, he was also awarded as the Entrepreneur of the Year in 2013 by TIE. Shabir has had a successful track record in various technology and business positions at a CXO level for few years before he became an entrepreneur. His current ventures that he has founded and cofounded includes ZengaTV, OneDigital, OneAxcess, Desiredwings, Raastey, Leap 10, and few others.

His ventures like ZengaTV.com being the largest OTT player in India with 30+ Million users, OneDigital being the largest YouTube MCN and Digital production house with 40 Billion watch minutes in YouTube alone and with the largest number of web shows and original digital videos produced so far. OneAxcess.com a unique self-serve, multi-platform distribution and monetization video eco system with over few thousands of content owners, creators and brand advertisers on board, making these ventures the leaders of their respective space.

He has keen interest in scalable and consumer facing business with some of his new ventures, in Cab industry, experiential marketing (using VR, AI, 360, Robotics, AR), Start-up incubation labs, renewable power, data mining, and bots to count few.

Artificial Intelligence, Robotics, Data Mining

A seasoned professional with close to 13 years of global consulting experience and delivered more than 40+ consulting engagements in varied culture and markets across Western Europe, Middle East, North & Central Africa, A‐Pac, India, and New Zealand. Niladri’s expertise is primarily around Enterprise Architecture, Digital transformation, Business, and Operational Process Management, IT Operational Strategy & Revenue Assurance /Risk Management Consulting.

Professional Background & Qualifications
 Global ICT Consulting experience (Telco, Media, Utilities, PSUs) and worked across MEA, A‐Pac, Europe and India.
 MBA (Marketing& Finance), B.E. (Electronics).
 Certifications : TOGAF, CBOP, ITIL V2.0
 Six Sigma Green Belt
 eTOM Implementation Specialist – TMF

Key achievements:
• Industry – Telecom, Media & Utilities;
• Individually contributed to Consulting sales, value 50Msek (6.5m$) during 2016, and demonstrated a win rate of more than 95% at current organisation;
• Instrumental in new customer acquisitions for Consulting, enabling practice growth from 10MSEK (2m$) to more than 120Msek(18m$) at current org;
• Led multi-functional teams of 5 to over 20+ people during delivery of Consulting projects;
• Led large scale (Tier 1) Digital transformation initiatives covering DMA - Digital Maturity assessments and D-TOM (Digital target operating models);
• Deep domain expertise in IT Strategy and EA (Enterprise Architecture)engagements;
• An active speaker and panelist in international research conferences and have published several white papers across research and industry journals.
• Multi-cultural sensitivity - ability to perform in large unstructured environment, across industry sectors
• Led many greenfield initiatives of large companies.

Telecom, RPA, Big Data analytics

Dr. Eng. Ryspek Usubamatov graduated from Bauman Moscow State Technical University. He is Professional Engineer in Mechanical, Manufacturing and Industrial Engineering, completed Ph.D. in 1972 and Dr. Tech. Sc. in 1993. He worked as engineer at a company and lecturer in universities of Kyrgyzstan and Malaysia. He is Professor of Razzakov Kyrgyz State Technical University has supervised around 100 Professional Engineer 15 M.Sc. and 7 Ph.D students. His key research are Productivity Theory for Industrial Engineering, Gyroscope Theory and Wind Turbines that represented by 7 books, 30 brochures and more than 300 manuscripts in reputed journals and 60 patents.

Gyroscope theory and Productivity theory for industrial engineering

Jie Mei is researcher at Deepkapha.ai and a third year doctoral student in medical neuroscience at Charité – Universtätsmedizin Berlin. Before moving to Germany, Jie received a research master in cognitive science from École normale supérieure, France (2015). Prior to her PhD, Jie has worked at Karolinska Institute, CNRS, SISSA and University of Trieste in the area of neuroscience, with a focus on brain computer interface and computational modeling of the cortico-striatal-thalamic circuitry. Currently, Jie is applying machine learning methods to improve the quality of medical data analysis and trying to understand how neuroscience research could lead to better deep learning models.

computational neuroscience, neurorobotics, neuroengineering, machine learning

Dr. Manar Fawzi Hosny is an Assistant Professor and the vice chair of the Computer Science Department, College of Computer and Information Sciences (CCIS), King Saud University (KSU), Riyadh, Saudi Arabia. She has a BSc and MSc in Computer Science from the American University in Cairo. She has PhD from Cardiff School of Computer Science and Informatics, Cardiff University, UK, 2010. She is member in ACM and IEEE. Her main research area is in metaheuristic algorithms and combinatorial optimization; besides, HCI, bioinformatics, data mining, social network analysis and technology in education. She has many research publications in high quality international conferences and journals.

Metaheuristic Algorithms and Combinatorial Optimization, HCI, Bioinformatics, Data Mining, Social Network Analysis and Technology in Education

Since 2005, she is a member of the research group of Philosophy and Methodology of Artificial Sciences, University of A Coruña.
Since 2011, she is a member of the organizing committee of the Conference of Philosophy and nowadays Methodology of Science, supported by the Society of Logic, Metodology and Philosophy of Science in Spain.
From 1989 to 2006 she has been working on different national and international television channels, such as CNN International. Author and director of numerous audiovisual works (registered in the Intellectual Property Registry).
She was advisor of the Foreign Trade Institute of Spain (ICEX), in the strategies of internationalization of the audiovisual sector (2005-2011).
From 2003 to the present, she is the co-director of the postdegree Master in Journalistic and Audiovisual Production (MPXA http://www.mpxa.net/), University of A Coruña.
Since 2007 she is the deputy director of the Santiago Rey Fernandez-Latorre Foundation (Foundation of La Voz de Galicia, the fourth most influential newspaper in Spain). From this position she directs several training programs of educational innovation.

Audiovisual Formats, New Media, Digital Television, Philosophy and Methodology of Sciences of the Artificial, Sciences of Design, Complexity.

Eng. Yosri S. Negm is machine learning engineer doing independent research around developing tools and platforms in data science and machine learning. He has more than 15 years of experience in digital transformation projects ,currently working as IT Manager in Al-Rajhi Corp in Riyadh,previously he held as director of AI Research unit in Advanced Research Group. He hold A bachelor's degree in Computer Science and engineering. Also he is interested to enrich the Arabic Specialized Content in around Artificial Intelligence.

Machine Learning, Neural Networks, Robotics