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Shabir Momin

Shabir Momin

ZengaTV Singapore

Samir El-Masri

Samir El-Masri

Digitalization.Cloud United Arab Emirates

Tanya Dixit

Tanya Dixit

Qualcomm India

Manoj Mishra

Manoj Mishra

Union Insurance United Arab Emirates

Abbas M Al-Bakry

Abbas M Al-Bakry

University of Information Technology and Communications Iraq

Sriharsha Allenki

Sriharsha Allenki

Qualcomm India

Noor Alasadi

Noor Alasadi

Damascus University Iraq

Aisha AlOwais

Aisha AlOwais

Sharjah Center for Astronomy and Space Sciences United Arab Emirates

Computer Science Meet 2019

About Conference


The Computer Science Meet 2019 cordially invites all the participants across the globe to attend the 2nd International Conference on Computer Science, Machine Learning and Big Data which is going to be held during December 16-17, 2019 Dubai, UAE to share the ideas in globally trending technologies in Machine learning, Big data, Artificial Intelligence and many more.

Importance and Scope

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. The current era fully rolled out with many new Artificial Intelligence technologies. In such case, more Software companies and industries were newly introduced within the market which obviously shows the market growth of Artificial Intelligence.

While analyzing the revenue growth of Artificial Intelligence, it highly developed from $150 billion USD to $250 billion USD since from 2010-2015. And the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years. Machine learning means using predictive analytics and intelligent automation to formulate data-driven predictions. It allows marketers to identify the likelihood of future outcomes based on historical data. In a recent survey of top marketing influencers, 97% said that the future of marketing will be a combination smart people armed with machine learning – in other words, that machine learning is the future of marketing. Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This Conference provides an overview of machine learning techniques to explore, analyze, and leverage the Bigdata. Machine learning is ideal for exploiting the opportunities hidden in big data.

Artificial Intelligence has witnessed tremendous growth in the recent past due to the necessity for advancement in the areas of machine translation, object perception, and object recognition. The landscape of tools and infrastructure for training and deploying of neural networks via ‘Machine Learning’ is further evolving rapidly. The rapid uptake of artificial intelligence in end-use industries such as retail and business analytics is expected to augment growth over the next few years.

The deep learning & machine learning would cover the major investment area in AI throughout the forecast period. It includes both cognitive applications (i.e. machine learning, searching, tagging, text and rich media analytics, filtering, categorization, clustering, hypothesis generation, question answering, visualization, alerting, and navigation) and AI platforms, which facilitate the development of intelligent, advisory, and cognitively enabled solutions.

Analytics is another major segment expected to witness bullish growth over the coming years and is major because increasing awareness, needs, and adoption of big data analytics among several small and large enterprises. Organizations are increasingly adopting these solutions owing to the growing need to make fact-based strategic business decisions to reduce the risk of failure and excel in this highly competitive environment.

Why to attend?

With members from around the world focused on learning about Machine learning, Artificial Intelligence, and Big data technologies, this is your single best opportunity to reach the largest assemblage of participants from the Global Information Technology Community. Conduct demonstrations, distribute information, acquire knowledge about current and trending global technologies, make a splash with a new research, and receive name recognition at this 2-days event. World-renowned speakers, the most recent techniques, tactics, and the newest updates in the Machine learning, Artificial Intelligence, and Bigdata Analytics are the hallmarks of this conference.

Target Audience

  • Scientists/Researchers
  • President/Vice president
  • Chairman’s/Directors
  • Professors, Data Analysts
  • Data Scientists
  • Experts and Delegates etc.
  • Heads, Deans, and Professors of Computer Science Departments
  • Research Scholar
  • Engineers
  • Consultants
  • Lab technicians 
  • Founders and employees of the related companies

Sessions / Tracks


Highlights and Advancements in Computer Science, Machine Learning, and Big Data Analytics

Track 1:  Computer Science and Technology

Computer Science Technology forms the technological infrastructure of recent commerce. Engineering is associate ever-evolving, increasing field. It is the drive of each trade and permeates way of life. It is the flexibility to mix the ability of computing with the management of multimedia system information and is arguably the key to get an ascendancy in any field.

·         Scientific computing

·         Computer graphics

·         Algorithmic trading

·         Simulation

·         Human-Computer Interaction

Track 2:  Machine learning

Machine learning is a kind of computing (Artificial Intelligence) which permit software system applications to become additionally correct in predicting outcomes while not being expressly programmed. The essential plan of machine learning is to compile algorithms which receive input file associate degree and is used in applied mathematical analysis to foresee an output worth among a satisfactory vary.

·         Machine learning algorithms

·         Supervised learning

·         Unsupervised learning

Track 3:  Deep learning

Deep learning is associated with the developments in computing power and special sorts of neural networks to check the advanced patterns in a large amount of knowledge. Deep learning techniques is a square measure, present the state of the art for characteristic objects in pictures and words are in sounds. Researchers currently expect to apply these successes in pattern recognition to a lot of advanced tasks like automatic language translation, medical diagnoses and diverse which are necessary in social and business issues.

·         How to build neural networks

·         Convolutional networks

·         RNNs, LSTM, Adam, Dropout, BatchNorm

·         Xavier/He initialization

Track 4:  Artificial intelligence

AI or computer science is the simulation of human intelligence processes by machines, particularly by PC systems. These processes embrace learning (the acquisition of data and rules for victimization the information), reasoning (using the foundations to achieve approximate or definite conclusions), and self-correction. Applications of AI embrace skilled systemsspeech recognition, and machine vision. Today, it's AN umbrella term that encompasses everything from robotic method automation to actual AI. It's gained prominence is recently due to the in part, to big data, or to the rise in speed, size, style of information and businesses square measure which is currently grouping. AI will perform tasks like distinguishing patterns within the information additional expeditiously than human businesses to realize additional insight out of their information.

·         Robotic process automation

·         Machine vision

·         Natural language processing

·         Robotics

Track 5:  Artificial intelligence applications

A.I. is getting used nowadays by businesses in both huge and tiny. About what proportion of effect will the A.I have on our future and in what ways will it be succeeded in our day-to-day life? Once A.I. really blossoms, what proportion of improvement can it have on the present iterations of this technology?

·         AI in healthcare

·         AI in business

·         AI in education

·         AI in finance

·         AI in manufacturing

Track 6:  Bigdata

Big information may be a term that describes the big volume of information – each structured and unstructured – that inundates a business on a day-after-day basis. However, it’s not the number of information that’s necessary. It is what organizations do with the information that matters. Big Data information will be analyzed for insights that cause higher selections and strategic business moves. The number of information that’s being created and hold on a world level is nearly unthinkable, and it simply keeps growing. Meaning there’s even a lot of potential to harvest key insights from business information nonetheless solely a little share of information is analyzed. What will that mean for businesses? However, they will create higher use of the raw info that flows into their organizations each day.

·         Streaming data

·         Social media data

·         Publicly available sources

·         Data Exploration & Visualization Importance of Big data

·         Applications of Big data

Track 7:  Big data analytics

Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving information complexness, new forms and sources of knowledge. Big Data analytics is that the use of advanced analytic techniques against terribly giant, numerous information sets that embrace structured, semi-structured and unstructured information, from totally different sources, and in several sizes from terabytes to zettabytes. Analyzing huge information permits analysts, researchers, and business users to create higher and quicker selections victimization information that was antecedently inaccessible or unusable. Victimization advanced analytics techniques like text analytics, machine learning, prognostic analytics, data processing, statistics, and language process, businesses will analyze antecedently untapped information sources freelance or at the side of their existing enterprise information to realize new insights leading to higher and quicker selections.

·         Big data Hadoop

·         Apache

·         Scala

·         Spark

Track 8:  Data Mining

Data mining is thought of a superset of the many different strategies to extract insights from knowledge. It would involve ancient applied mathematics strategies and machine learning. Data processing applies strategies from many alternative areas to spot antecedently unknown patterns from knowledge. This could embody applied mathematics, algorithms, machine learning, text analytics, statistical analysis and alternative areas of analytics. Data processing conjointly includes the study and follow the knowledge of storage and data manipulation.

·         High-performance data mining algorithm

·         Data Mining in Healthcare data

·         Medical Data Mining

·         Advanced Database and Web Application

·         Data mining and processing in bioinformatics, genomics and biometrics

Track 9:  Cloud computing

The cornerstone of data analytics in cloud computing is cloud computing itself. Cloud Computing is made around a series of hardware and computer code that may be remotely accessed through any web browser. Usually, files and computer code area unit shared and worked on by multiple users and everyone knowledge is remotely centralized rather than being hold on users’ onerous drives.

·         IoT on Cloud Computing

·         Fog Computing

·         Cognitive Computing

·         Mobile Cloud Computing

Track 10:  Data analytics in cloud

Businesses have used data analytics to assist their strategy to maximize profits. Ideally, information analytics helps to eliminate a lot of the estimate concerned in making an attempt to know purchasers, instead systemically following information patterns to best construct business techniques and operations to reduce uncertainty. Not solely will analytics verify what may attract new customers, usually, analytics acknowledges existing patterns in information to assist higher serve existing customers, that is usually less expensive than establishing a replacement business. In an associate degree dynamic business world subject to unnumbered variants, analytics provides firms the sting in recognizing dynamical climates, in order that they will take initiate applicable action to remain competitive. aboard analytics, cloud computing is additionally serving to create business simpler and therefore the consolidation of each cloud and analytics may facilitate businesses store, interpret, and method their massive information is raised to meet their clients’ wants.

·         Software as a service (SaaS)

·         SaaS examples

·         Best uses of Data analytics in cloud

·         Future of Data analytics in cloud

Track 11:  Cloud computing in E-commerce

Distributed computing may be a style of Internet-based imagining that offers shared handling resources and knowledge to PCs and in contrast to devices on concentration. it's a typical for authorizing pervasive, on-interest access to a typical pool of configurable registering assets which might be quickly provisioned and discharged with insignificant administration travail. Distributed calculative and volume preparations provide shoppers and ventures with totally different skills to store and procedure their data in outsider data trots. It depends on sharing of assets to accomplish rationality and economy of scale, sort of a utility over a system.

·         Microsoft Azure Cloud Computing

·         Amazon Web Services

·         Google Cloud

·         Cloud Automation and Optimization

·         High-Performance Computing (HPC)

·         Emerging Cloud Computing Technology

Track 12:  Business Intelligence

The competitive intelligence might be a technology-driven methodology for Analyzing data and presenting an unjust information to help executives, managers, and different company end users to produce enlightened businesses selections. Business intelligence will be employed by enterprises to support a large vary of business choices - starting from operational to strategic. Basic operational choices embody product positioning or valuation. Metal encompasses a decent kind of tools, applications, and methodologies that differentiate the corporations to collect information from internal and external sources; prepare it for analysis; develop and activate queries against the data; and build reports, dashboards and knowledge visualizations to make the analytical results on the market to the corporate decision-makers, likewise as operational staff.

·         Why BI is important?

·         Types of BI tools

·         BI trends

·         BI for Big data

Track 13:  SAP SAS (Statistical Analysis System)

SAP is an ERP (Enterprise Resource Planning) software while SAS is an analytics package developed by SAS (Statistical Analysis System) institute. It was founded by James Goodnight and several Colleagues in 1976 from North Carolina State University. Currently, it is used as an integration of software products that enables anyone to perform: Data Manipulation, Statistical and mathematical analysis, Planning, forecasting and decision Support, Report Writing and Graphics, Quality Improvement, Applications Development, Web Reporting, Data Entry, Retrieval, and Management, Data Warehousing and Data Mining. SAS runs on both Windows and UNIX platforms. It is used in a wide range of industries such as healthcare, education, financial services, life sciences etc.

·         SAS Administrators

·         Customer Intelligence

·         Data Management

·         Risk Management

·         Fraud & Security Intelligence

·         Data Visualization

Track 14:  Iot (Internet of things)

New intelligent things typically constitute 3 categories: robots, drones and autonomous vehicles. Every one of these areas can evolve to impact a bigger section of the market and support a brand-new section of digital business, however, these represent just one aspect of intelligent things. Existing things together with internet of Things (IoT) devices can become intelligent things delivering the facility of AI enabled systems all over together with the house, office, manufacturing plant floor, and medical facility. the forthcoming revolution of the Internet-of-Things (IoT) and ensuring connectedness of sensible home technology for years.

Internet of Things (IoT) is associate degree system which is connected to physical objects that square measure accessible through the web. The ‘thing’ in IoT might be someone with a cardiac monitor or associate degree automobile with built-in-sensors, i.e. objects that are allotted associate degree science address and might collect and transfer knowledge over a network while not manual help or intervention. The embedded technology within the objects helps them to move with internal states or the external surroundings, that successively affects the choices taken. IoT – and therefore the machine-to-machine (M2M) technology behind it – square measure transfers a form of “super visibility” to just about each business. Imagine utilities and telcos that may predict and stop service outages, airlines that may remotely monitor and optimize plane performance, and care organizations that are based on health care on period ordering analysis. The business prospects square measure endless.

·         Why IOT?

·         What is the scope of IOT?

·         How can IOT help?

Track 15:  Augmented reality (AR) and Virtual reality

Virtual reality (VR) associated Augmented reality (AR) rework the way people move with one another and with package systems making an immersive setting. for instance, VR will be used for coaching situations and remote experiences. AR, that allows a mixing of the important and virtual worlds, means that businesses will overlay graphics onto real-world objects, like hidden wires on the image of a wall. Immersive experiences with AR and VR area unit reaching tipping points in terms of value and capability, however, it won't replace different interface models. Over time AR and VR expand on the far side visual immersion to incorporate all human senses. Enterprises ought to rummage around for targeted applications of VR and AR through 2020.

·         Computer-mediated reality

·         Object recognition

·         Virtual fixture

Market Analysis

Market analysis of Machine learning

The global machine learning market is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%. The main driving factors for the market are a proliferation of data generation and technological advancement. In the services segment, the managed service segment is expected to grow at a higher CAGR, whereas professional service segment is expected to be a larger contributor during the forecast period. The managed service is said to be growing faster, as it helps organizations to increase efficiency and save costs by managing on-demand machine learning services. 

Industry insights of AI

The global artificial intelligence market size was valued at USD 641.9 million in 2016 on the basis of its direct revenue sources and at USD 5,970.0 million in 2016 on the basis on enabled revenue and AI-based gross value addition (GVA) prognoses. The market is projected to reach USD 35,870.0 million by 2025 by its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas. Considerable improvements in commercial prospects of AI deployment and advancements in dynamic artificial intelligence solutions are driving the industry growth.

The Artificial Intelligence industry is segmented by core technologies into Natural Language Processing (NLP), Machine Learning, Deep Learning, and Machine Vision archetype. Deep Learning technology segment is anticipated to dominate the AI market; both in terms of revenue and CAGR over the forecast period of 2017 to 2025. ‘Deep Learning’ technology is gaining prominence because of its complex data driven applications including voice and image recognition. It offers a huge investment opportunity as it can be leveraged over other technologies to overcome the challenges of high data volumes, high computing power, and improvement in data storage.

Market analysis of Bigdata

The global big data market size was valued at USD 25.67 billion in 2015 and is expected to witness a significant growth over the forecast period. The elevating number of virtual online offices coupled with increasing popularity of social media producing an enormous amount of data is a major factor driving growth. Increased internet penetration owing to the several advantages including unlimited communication, abundant information and resources, easy sharing, and online services generates huge chunks of data in everyday life, which is also anticipated to propel demand over the coming years.

The statistic shows a revenue forecast for the global big data industry from 2011 to 2026. For 2017, the source projects the global big data market size to grow to just under 34 billion U.S. dollars in revenue.

Related Conferences

Engineering conferences | Machine learning conferences | Natural language conferences | Artificial Intelligence Conferences | Deep learning conferences | AI/Robotics conferences | Big data conferences | Data management conferences | Data science conferences | Data analytics conferences | Data mining conferences | Cloud computing conferences | Internet Technology conferences

1) International Conference on Big data, Knowledge Discovery and Data Mining, August 6-7, 2018, Abu- Dhabi, UAE

2) Global Summit on Machine learning and Deep learning, August 30-31, 2018, Dubai, UAE

3) World Congress on Artificial Intelligence and Neural networks, October 15-16, 2018, Helsinki, Finland

4) Global Conference on Mechatronics and Robotics, October 15-16, 2018, Helsinki, Finland

5) International Conference on Artificial Intelligence, Robotics & IoT, August 21-22, 2018, Paris, France

6) Global Conference on Artificial Intelligence, April 16-17, 2018, Las Vegas, USA

7) Global Summit on Automation and Robotics, April 16-17, 2018, Las Vegas, USA

8) International Conference on Computer Science and Engineering, June 20–21, 2018, Oslo, Norway

9) International Summit on Big data analysis and Data mining, June 20-21, 2018, Rome, Italy

10) International conference on Bigdata computing, applications and technologies, December 5-8, 2018, Austin, Texas, United States

11) Global Summit on Agents and Artificial Intelligence, January 16-18, 2018, Madrid, Portugal

12) International Conference on Artificial Intelligence, July 13-19 2018, Stockholm, Sweden

13) Global Summit Expo on Deep Learning, January 25-26, 2018, San Francisco, USA

14) International Conference on Machine Learning, July 10-15, 2018, Stockholm, Sweden.

15) World Conference on Big Data Analytics & Data Mining, September 26-27, 2018, Chicago, USA.

16) World Congress on Computer Graphics & Animation, August 29-30, 2018, Tokyo, Japan.

17) Global Big Data Innovation, Data Mining and Analytics Summit, August 20-21, 2018, Singapore.

18) World Summit on Robots and Deep Learning, September 10-11, 2018, Singapore.

19) World Congress on Telecommunications, Cloud Computing and Wireless Technology, August 22-23, 2018, Singapore.

20) Global Summit on Computer Graphics & Animation, September 26-27, 2018, Montreal, Canada.

21) Global Conference on Data Analysis and Cloud Computing, September 06-07, 2018, London, UK.

Related Societies

1) Association for Computing Machinery (ACM), USA

2) British Automation and Robot Association (BARA), UK

3) Association Française pour l'Intelligence Artificielle, France

4) Canadian Artificial Intelligence, Canada

5) Japan Robot Association (JARA), Japan

6) International Federation of Robotics (IFR), Germany

7) ARC Centre of Excellence for Robotic Vision, Australia

8) Technische Hochschule Ingolstadt, Germany

9) Big Data Europe Empowering Communities with Data Technologies, Europe; Big Data and Society, United Kingdom

10)Advanced Analytics Institute, Australia

11) American Statistical Association, United States

12) International Educational Data Mining Society, United States

13) The Society of Data MinersThe professional body for data analytics, data science, and data mining, United States

14) IEEE Computational Intelligence Society, United States

15) Data Mining Section of INFORMS, United States

16) International Institute for Analytics, Oregon, USA

17) The International Machine Learning Society, Germany

18) Mexican Society of Artificial Intelligence (SMIA), Mexico

19) Finnish Artificial Intelligence Society (FAIS), Finland

20) Canadian Artificial Intelligence Association, Canada

21) Sri Lanka Association for Artificial Intelligence (SLAAI), Srilanka

22) International Association of Computer Science and Information Technology, USA

23) The Australian Pattern Recognition Society, Australia

Related societies by continent:


IBM Research, IEEE Circuits and Systems Society, IEEE Computer Society, IEEE Systems, Man, and Cybernetics Society, ACCU (Organisation), ACM SIGARCH, ACM SIGHPC, ACM SIGOPS, American Federation of Information Processing Societies, Association for Automated Reasoning, Association for Computing Machinery, ACM-W, List of ACM-W chapters, SIGAI, Association for Logic Programming, Association for Logic, Language and Information, Association for the Advancement of Artificial Intelligence, Brazilian Computer Society, Canadian Information Processing Society, Institute of IT Professionals, International Association for Pattern Recognition, Internet Technical Committee

Asia Pacific

Indian Association for Research in Computing Science, Australian Committee on Computation and Automatic Control, Australian Computer Society, Australian Partnership for Advanced Computing, Computer Society of Sri Lanka, Information Processing Society of Japan, Information Retrieval Facility, Malaysian National Computer Confederation, Memetic Computing Society, National Centre for Text Mining, Philippine Society of Information Technology Educators, Seoul Accord Society for the Study of Artificial Intelligence and the Simulation of Behavior, Sri Lanka Software Testing Board


Raspberry Pi Foundation, British Colloquium for Theoretical Computer Science, British Computer Society, European Association for Theoretical Computer Science, European Society for Fuzzy Logic and Technology, Computability in Europe, Computer Science Teachers Association, Gelato Federation, Gesellschaft für Informatik, Informatics Europe, Irish Computer Society, Scottish Informatics and Computer Science Alliance, Swiss Informatics Society, XML UK


Foundation & Development - Society of Engineers, Society of Engineers - UAE, IEEE Saudi Arabia, Qatar Foundation, Qatar Computing Research Institute, Bahrain Society of Engineers, Computer Science Major, Computer Science and Information Systems, Kuwait Institute for Scientific Research.

List of University


National University of Singapore ; Nanyang Technological University ; University of Hong Kong ; Hong Kong University of Science and Technology ; University of Tokyo ; Korea Advanced Institute of Science and Technology (KAIST) ; Seoul National University ; Pohang University of Science and Technology ; Chinese University of Hong Kong ; Sungkyunkwan University (SKKU) ; City University of Hong Kong ; Kyoto UniversityJapan ; University of Science and Technology of China ; Fudan University ; Shanghai Jiao Tong University ; Zhejiang University ; Nanjing University ; Sun Yat-sen University ; Wuhan University ; Tongji University ; China University of Geosciences ; Soochow University ; Southeast University ; Renmin University ; Harbin Institute of Technology ; East China Normal University ; Xi’an Jiaotong University ; Tianjin University ; East China University of Science and Technology ; Xiamen University ; Beihang University ; South China University of Technology ; China Agricultural University ; Peking University ; Tsinghua University ; Kyoto University ; Tokyo Institute of Technology ; Osaka University ; Nagoya University ; Toyota Technological Institute ; Kyushu University ; Tokyo Medical and Dental University ; University of Tsukuba ; Hokkaido University ; Tokyo Metropolitan University ; Hong Kong Polytechnic University ; Korea University ; Hebrew University of Jerusalem ; Tel Aviv University ; King Abdulaziz University ; National Taiwan University of Science and Technology ; Tohoku University ; Indian Institute of Science ; Koç University ; Yonsei University ; Gwangju Institute of Science and Technology ; National Tsing Hua University ; Sabanc─▒ University ; Kyung Hee University ; Technion Institute of Technology ; Hanyang University ; National Chiao Tung University ; National Taiwan University of Science and Technology ; Indian Institute of Technology Bombay ; University of Macau ; Veltech University ; Sejong University ; Bilkent University Turkey ; National Cheng Kung University ; Hong Kong Baptist University ; Bo─čaziçi University ; Ewha Womans University ; Indian Institute of Technology Delhi ; King Fahd University of Petroleum and Minerals ; King Saud University ; University of Malaya ; Chung-Ang University ; Indian Institute of Technology Madras ; Indian Institute of Technology Kanpur ; Atilim University ; Huazhong University of Science and Technology ; zhejiang University ; China Medical University, ; Bar-Ilan University ; Indian Institute of Technology Roorkee ; Sharif University of Technology ; Khalifa University of Science, Technology and Research ; Qatar University ; Istanbul Technical University ; United Arab Emirates University ; American University of Beirut ; Indian Institute of Technology Kharagpur ; National Taiwan Normal University ; Ben-Gurion University of the Negev ; Pusan National University ; Taipei Medical University ; Iran University of Science and Technology ; Isfahan University of Technology ; Sogang University ; Mahidol University ; National Sun Yat-Sen University ; Sejong University


University ; University of Cambridge ; University of Oxford ; Eidgenössische Technische Hochschule Zürich ; University College London ; The University of Edinburgh ; The University of Manchester ; Katholieke Universiteit Leuven ; Universität Wien ; The London School of Economics and Political Science ; Imperial College London ; The University of Nottingham ; University of Glasgow ; University of Leeds ; Universitetet i Oslo ; The University of Warwick ; Technische Universiteit Delft ; Technische Universität München ; Freie Universität Berlin ; École Polytechnique Fédérale de Lausanne ; Universitat de Barcelona ; Kungliga Tekniska högskolan ; Norges teknisk-naturvitenskaplige universitet ; Helsingin yliopisto ; Universidad Complutense de Madrid ; Newcastle University ; Moscow State University ; King's College London ; Universiteit Utrecht ; Universiteit Gent ; Universität München ; University of Southampton ; Universiteit van Amsterdam ; Aarhus Universitet ; Università degli Studi di Bologna ; Københavns Universitet ; Rijksuniversiteit Groningen ; Lunds Universitet ; Uppsala Universitet ; Université de Genève ; Universitat de València ; Universiteit Twente ; Rheinisch-Westfälische Technische Hochschule Aachen ; Universitat Politècnica de Catalunya ; University of Leicester ; The University of York ; Technische Universität Wien ; The University of Sheffield ; Universidad de Granada ; National Research University Higher School of Economics ; Universidade de Lisboa ; Humboldt-Universität zu Berlin ; Univerzita Karlova ; Politecnico di Milano ; Universitetet i Bergen ; Trinity College Dublin, University of Dublin ; Universität Heidelberg ; Technische Universität Berlin ; Aalto-yliopisto ; University of St Andrews ; Università degli Studi di Roma La Sapienza ; Masarykova univerzita ; Karlsruher Institut für Technologie ; Linköpings Universitet ; Durham University ; Universität Zürich ; University of Liverpool ; Wageningen Universiteit ; University of Exeter ; University of Kent ; Universidad Politécnica de Madrid ; Danmarks Tekniske Universitet ; Lancaster University ; University College Dublin ; Queen Mary University of London ; Ceské vysoké ucení technické v Praze ; Universitat Autónoma de Barcelona ; University of Surrey ; Universidad de Sevilla ; Universidad Politécnica de Valencia ; Universidade do Porto ; Chalmers tekniska högskola ; University of Sussex ; University of Bath ; Rheinische Friedrich-Wilhelms-Universität Bonn ; Goethe-Universität Frankfurt am Main ; Universität Leipzig ; Universität zu Köln ; Université de Strasbourg ; Ruhr-Universität Bochum ; Université Libre de Bruxelles ; Technische Universität Dresden ; Westfälische Wilhelms-Universitat Münster ; Queen's University Belfast ; Georg-August-Universität Göttingen ; Technische Universiteit Eindhoven ; Università degli Studi di Padova ; Universität Freiburg ; University of Reading ; Université Catholique de Louvain ; Stockholms universitet ; Universidad Autónoma de Madrid ; University of Birmingham ; Loughborough University ; University of East Anglia ; Universität Stuttgart ; Vrije Universiteit Amsterdam ; Universität Hamburg ; Umeå universitet ; University of Strathclyde ; University of Bristol ; University of Aberdeen ; Universidad de Murcia ; University College Cork ; Universidade de Coimbra ; Universiteit Leiden ; Université de Lorraine ; Universität Tübingen ; Göteborgs universitet ; Universidad de Alicante ; Universität Bern ; Uniwersytet Warszawski ; Friedrich-Alexander-Universität Erlangen-Nürnberg ; Cardiff University ; Università degli Studi di Milano ; Christian-Albrechts-Universität zu Kiel ; University of the Arts London ; Université de Liège ; Università degli Studi di Torino ; Universidad del País Vasco ; Technische Universität Darmstadt ; Universitat Pompeu Fabra ; Aalborg Universitet ; City, University of London ; Johannes Gutenberg-Universität Mainz ; Politecnico di Torino ; University of Essex ; Heriot-Watt University ; Università degli Studi di Pisa ; Leibniz Universität Hannover ; Uniwersytet Jagiellonski ; Universität Innsbruck ; Université Grenoble Alpes ; Radboud Universiteit Nijmegen ; University of Dundee ; Université de Nice Sophia Antipolis ; Universidad de Salamanca ; Universität Basel ; St. Petersburg State University ; Université Claude Bernard Lyon 1 ; Universität Bielefeld ; Technische Universität Chemnitz ; Universität Bremen ; Université de Lausanne ; Vrije Universiteit Brussel ; Universidad de Zaragoza ; Université de Bordeaux ; Universität Duisburg-Essen ; Université de Caen Normandie ; Universidad de Málaga ; Università degli Studi di Firenze ; Karolinska Institutet ; Universität Regensburg ; Eötvös Loránd Tudományegyetem ; Dublin City University ; Università degli Studi di Napoli Federico II ; Swansea University ; University of the West of England ; Erasmus Universiteit Rotterdam ; Budapesti Muszaki és Gazdaságtudományi Egyetem ; Aristotle University of Thessaloniki ; Syddansk Universitet ; Akademia Górniczo-Hutnicza ; Technische Universität Graz ; Universidad Carlos III de Madrid ; Tampereen teknillinen yliopisto ; Universidad de Valladolid ; Sheffield Hallam University ; Universität des Saarlandes ; Coventry University ; University of Salford ; École Normale Supérieure de Lyon ; Universiteit Antwerpen ; University of Limerick ; Universität Würzburg ; Université Paris Sud - Paris 11 ; Justus-Liebig-Universität Giessen ; Université Pierre et Marie Curie ; Universidade Nova de Lisboa ; Jyväskylän yliopisto ; Philipps-Universität Marburg ; University of Portsmouth ; National and Kapodistrian University of Athens ; Plymouth University ; Goldsmiths, University of London ; Friedrich-Schiller-Universität Jena ; Nottingham Trent University ; Turun yliopisto ; De Montfort University ; Birkbeck, University of London ;


University of Wollongong ; Monash University ; Charles Sturt University ; University of New South Wales ; Federation University Australia ; University of Southern Queensland ; University of Technology Sydney ; University of Queensland ; Swinburne University of Technology ; CQUniversity ; Edith Cowan University ; Australian National University ; Queensland University of Technology ; University of South Australia ; University of Canberra ; Deakin University ; University of Adelaide ; Griffith University ; University of Newcastle ; RMIT University ; Curtin University ; Macquarie University ; La Trobe University ; Murdoch University ; University of Sydney ; Western Sydney University ; University of Tasmania ;

North/South America

Massachusetts Institute of Technology ; Stanford University ; Harvard University ; University of California, Berkeley ; University of Michigan ; Cornell University ; University of Washington ; Penn State University ; University of Wisconsin-Madison ; University of California, Los Angeles ; Purdue University ; University of Minnesota ; Columbia University in the City of New York ; The University of Texas at Austin ; University of Illinois at Urbana-Champaign ; New York University ; University of Pennsylvania ; University of Southern California ; Carnegie Mellon University ; Princeton University ; University of Toronto ; University of California, Irvine ; Yale University ; University of California, San Diego ; University of Maryland ; Michigan State University ; University of Chicago ; Arizona State University ; The University of British Columbia ; University of Florida ; University of California, Davis ; University of Colorado Boulder ; Rutgers, The State University of New Jersey ; Johns Hopkins University ; Duke University ; Boston University ; University of North Carolina at Chapel Hill ; The University of Arizona ; University of Virginia ; Texas A&M University ; Georgia Institute of Technology ; Northwestern University ; North Carolina State University ; The Ohio State University ; Virginia Polytechnic Institute and State University ; University of California, Santa Barbara ; The University of Utah ; University of Pittsburgh ; McGill University ; University of Waterloo ; Indiana University Bloomington ; Tufts University ; Washington University in St. Louis ; California Institute of Technology ; Iowa State University of Science and Technology ; Oregon State University ; University of Massachusetts Amherst ; Vanderbilt University ; Georgia State University ; University of Iowa ; University of Alberta ; Simon Fraser University ; University of Nebraska-Lincoln ; University of California, Santa Cruz ; University of Delaware ; University of Georgia ; Florida State University ; Georgetown University ; 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University of Pretoria ; University of Cape Town ; University of the Witwatersrand ; University of KwaZulu-Natal ; University of Johannesburg ; Universiteit Stellenbosch ; North-West University ; University of the Western Cape ; University of Nairobi ; The American University in Cairo ; University of Lagos ; Ahmadu Bello University ; Rhodes University ; Cairo University ; University of Ibadan ; Universiteit van die Vrystaat ; Universidade Eduardo Mondlane ; Cape Peninsula University of Technology ; University of Khartoum ; University of Nigeria ; Nelson Mandela Metropolitan University ; Addis Ababa University ; University of Fort Hare ; University of Ilorin ; Tshwane University of Technology ; Durban University of Technology ; Mansoura University ; Jimma University ; University of Namibia ; The German University in Cairo ; Makerere University ; Obafemi Awolowo University ; Namibia University of Science and Technology ; Kenyatta University ; University of Ghana ; University of Dar es Salaam ; 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Universidade Agostinho Neto ; University of Port Harcourt ; Landmark University ; Université Sidi Mohamed Ben Abdellah ; Université Ferhat Abbas de Sétif 1 ; University of Mauritius ; Université Mouloud Maameri de Tizi Ouzou ; University of Gezira ; Strathmore University ; Jomo Kenyatta University of Agriculture and Technology ; Helwan University ; University of Venda ; University of Tripoli ; Universidade Metodista de Angola ; Université de Lomé ; University of Benin ; Federal University of Agriculture, Abeokuta ; Zagazig University ; Université Abderrahmane Mira de Béjaia ; United States International University ; Al Akhawayn University ; Federal University, Oye-Ekiti ; Lagos State University ; Modern Sciences and Arts University ; Universidade Independente de Angola ; Mzumbe University ; Universidade Técnica de Angola ; University of Limpopo ; Bayero University Kano ; Mangosuthu University of Technology ; American University of Nigeria ; Walter Sisulu University ; Université Hassiba Ben Bouali de Chlef ; Université Mohamed Boudiaf de M'sila ; University of Jos ; Université d'Alger 1 ; Université Abdelhamid Ibn Badis Mostaganem ; Uganda Christian University ; Rivers State University of Science and Technology ; Université Ibn Tofail ; Misr University for Science and Technology ; Université Ibn Zohr ; Al-Azhar University ; Mount Kenya University ; Federal University of Technology, Owerri ; University of Zululand ; University of Uyo ; University of Cape Coast ; Nnamdi Azikiwe University ; South Valley University ; University of Education, Winneba ; Université Batna 1 ; Misr International University ; Usmanu Danfodio University ; Michael Okpara University of Agriculture ; Muhimbili University of Health and Allied Sciences ; Mbarara University of Science and Technology ; University of Swaziland ; Ladoke Akintola University of Technology ; Universidade Católica de Moçambique ; Babcock University ; Université Ahmed Ben Bella d'Oran 1 ; Botswana Accountancy College ; Université Badji Mokhtar de Annaba ; Université des Sciences et de la Technologie d'Oran ; Mekelle University ; Université de Yaoundé I ; Botswana International University of Science and Technology ; Université Abdelmalek Essadi ; Adekunle Ajasin University ; Université Djillali Liabès de Sidi-Bel-Abbès ; University of Abuja ; Afe Babalola University ; Université de Sfax ; Université Mohammed Premier ; Hawassa University ; Abubakar Tafawa Balewa University ; Olabisi Onabanjo University ; Ekiti State University, Ado Ekiti ; Université de Tunis El Manar ; Midlands State University ; Africa University ; Enugu State University of Science and Technology ; International University of Africa ; Tai Solarin University of Education ; Université M'hamed Bouguerra de Boumerdes ; Tanta University ; Adama Science and Technology University ; Ashesi University College ; Université Gaston Berger ; October 6 University ; Université Hassan II de Casablanca ; Kwara State University ; Fayoum University ; Federal University, Ndufu-Alike ; Arba Minch University ; University of Malawi ; Université Catholique de l’Afrique de l’Ouest - Unité Universitaire du Togo ; Pharos University in Alexandria ; Ahfad University for Women ; Technical University of Kenya ; Université 20 Août 1955 de Skikda ; Université de Ouagadougou ; Université d'Antananarivo ; Future University in Egypt ; Jaamacada SIMAD ; Université Saad Dahlab de Blida ; Université Larbi Tebessi de Tébessa ; Mzuzu University ; Université Moulay Ismail ; University of Benghazi ; Université de Dschang ; Menoufia University ; Libyan International Medical University ; Nahda University ; Université de la Manouba ; Osun State University ; Kafrelsheikh University ; 

Past Conference Report

Computer Science Meet 2018

In the presence of Business Professionals, Academicians, Practitioners, and Students involved in the development of high-quality education in all aspects of technical skills, Conference Series World Congress on Computer Science, Machine Learning and Big Data was held during August 30-31, 2018 in Dubai, UAE.

ME Conferences Group played host to a diverse panel of key members of the Computer Science Meet 2018 community from research lab, industry, academia, and financial investment practices, discussing the future of Computer Science, Artificial Intelligence, Machine Learning, & Big Data. This event was really aimed for examining where the technology is going in the future and purpose of the event was to provide an opportunity for cross-fertilization and development of ideas, in this field.

Focusing on Computer Science and Technology, Machine learning, Deep learning, Artificial intelligence, Artificial intelligence applications, Big data, Big data analytics, Data Mining, Cloud computing, Data analytics in cloud, Cloud computing in E-commerce, Business Intelligence, SAP SAS (Statistical Analysis System), Iot (Internet of things), Augmented reality (AR) and Virtual reality the two days of discussions enabled professionals to gain an insight into the current innovations and opened up networking opportunities.

Computer Science Meet 2018 Organizing Committee would like to thank the Moderators of the conference – Rohit Agarwal, Mobisy Technologies Pvt Ltd, India; Tanya Dixit, Qualcomm, India who contributed a lot for the smooth functioning of this event.

The conference was embarked with an opening ceremony followed by Keynote sessions and followed by series of lectures delivered by Honourable Guests and members of the Keynote forum.

The highlights of the meeting were the eponymous lectures, delivered by:

  •        Shabir Momin, ZengaTV, Singapore
  •        Anu Kukar, KPMG, Australia
  •        Tanya Dixit, Qualcomm, India
  •        Tilila El Moujahid, Microsoft, UAE
  •        Jayatu Sen Chaudhury, American Express, India
  •        Sriharsha Allenki, Qualcomm, India
  •        Niladri Shekhar Dutta, Ericsson, UAE
  •        Manoj Mishra, Union Insurance, UAE
  •        Eman AbuKhousa, UAE University, UAE
  •        Najati Ali-Hasan, Anchor IT Consultation, UAE
  •        Abbas M Al-Bakry, University of Information Technology and Communications, Iraq
  •        Rohit Agarwal, Mobisy Technologies Pvt Ltd, India
  •        Erwin E. Sniedzins, Mount Knowledge Inc., Canada
  •        Samir El-Masri, Digitalization.Cloud, UAE
  •        Sylvester Juwe, British Gas, United Kingdom
  •        Harshavardhana Kikkeri, Kaaya Tech Inc, USA
  •        Santosh Godbole, SSN Solutions Limited, India
  •        Ahmed AlMaqabi, Almaqabi, Kingdom of Bahrain
  •        Gaurav Pawar, Mobisy Technologies Pvt Ltd, India
  •        Kai Khalid Miethig, Tariq Faqeeh Engineering, Bahrain
  •        Abed Benaichouche, Inception Institute of Artificial Intelligence, Abu Dhabi, UAE

These talks were of great interest to the general technology and were enormously informative.

There were several poster presentations as well at the conference. The best poster award won by Mr. Rohit Agarwal & Mr. Gaurav Pawar for the title “An overview of deep learning based object detection techniques in retail domain” and Dr. Nabil Belgasmi for the title “Multiobjective deep reinforcement learning approach for ATM cash replenishment planning”.

Past Reports  Gallery  

To Collaborate Scientific Professionals around the World

Conference Date December 16-17, 2019

Speaker Opportunity

Supported By

Journal of Computer Science & Systems Biology Advances in Robotics & Automation Journal of Proteomics & Bioinformatics

All accepted abstracts will be published in respective Conference Series LLC LTD International Journals.

Abstracts will be provided with Digital Object Identifier by

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  • Algorithm
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