www.aliyavari.com mail @ aliyavari.com
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About


Dr Ali Yavari is Senior Research Engineer (Software and Data Analytics) at Department of Computer Science and Software Engineering in Swinburne University of Technology. He has received his Master of Science degree inCommunication Systems from KTH Royal Institute of Technology, Sweden and his Ph.D. from School of Computer Science and Information Technology at Royal Melbourne Institute of Technology (RMIT), Australia. Ali had been with Digital Productivity Flagship and Data61 at CSIRO. Prior to joining RMIT, Ali was Research Engineer at KTH University in Communication Systems department. He contributed to several research projects including SeRMon and COSEM. Ali has been working for more than ten years in IT industry as project manager, system designer, and developer for aviation, bank, and IT companies in several countries. He serves as program committee member and designated reviewer in several international conferences and workshops. Ali  had served as a committee member in Computer Society Chapter at IEEE Victorian Section. He is also a member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).

As chief investigator, he has significantly contributed to several European and Australian research and development projects supported by external research funding from industry collaborators or/and government. These projects were mostly collaborative with large companies and organisations including, but not limited to, EIT ICT Lab, Wireless@KTH, TeliaSonera, Vinnova, Ericsson, Asahi Beverages, Optus, Telstra, Software AG, Australian Meat Processor Corporation, and Siemens. The main focus of these projects were/are human-computer interactions, advanced resource and network management for mobile networks particularly multimedia streaming, Industry 4.0 and smart manufacturing, smart supply chain management and quality monitoring, smart healthcare (Health 4.0), computer and network Security, and compliance monitoring (e.g., food safety). 

Ali has awarded with several prestigious awards such as Faculty of Science Engineering and Technology Research Collaboration Across Non-traditional Boundaries Award from Swinburne University of Technology, Best paper award from Hawaii International Conference on System Sciences Conference, Creativity Award from Oracle, First prize at the Unearthed Hackathon. Being fascinated about teaching and supervision, Ali has supervised several students and capstone projects mainly in the area of cloud computing, Industry 4.0, big data analytic, and machine learning. Ali has developed and designed curriculum for several units such as IoT programming and Topics in Computer Science.

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RESUME

EDUCATION

  • PhD in Computer Science
    • RMIT University
    • Melbourne, Australia
    • Title: Internet of Things Data Contextualisation for Scalable Information Processing, Security, and Privacy
  • Graduate Certificate in Learning and Teaching (Higher Education)
    • Swinburne University of Technology
    • Melbourne, Australia

  • Masters of Communication Systems
    • KTH Royal Institute of Technology
    • Stockholm, Sweden

Experience

  • Senior Research Engineer (Software and Data Analytic) – 2017 – current
    • Swinburne University of Technology
    • Internet of Things Lab
    • Melbourne, Australia
    • Responsibilities:
      • Research and development in the areas of software innovation, Big Data analytics, IoT, and Machine Learning

      • Design, implement and test solutions that result in compelling and easy to use innovative products

      • Collaboration with industry and manufacturing for development and delivery of industry leading solutions (e.g., Industry 4.0)

      • Engagement with companies for the understanding of business needs and to incorporate the needs into innovative solutions

         


  •  Sessional Lecturer, Head Tutor, and Tutor  – 2015 – 2018
    • RMIT University
    • Melbourne, Australia
    • Responsibilities:
      • Design adn development of Computer Science courses

      • Administration and supervision of the teaching deliveries 
      • Delivery of Computer Science courses


 

  • Research Engineer  – 2012 – 2013
    • KTH Royal Institute of Technology
    • Melbourne, Australia
    • Responsibilities:
      • Development of research prototypes and proof-of-concept implementations in the area of human computer interaction

      • Design, development, and testing of innovative solutions and software packages for context aware and adaptive service functionality, intelligent content and media delivery, and resource management for wireless and mobile networks

      • Architecture design and implementation of an innovative Quality of Mobile Experience platform

      • Utilising novel data analytics techniques on adaptive systems and data mining for activity management in large scale ubiquitous computing systems


 

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PUBLICATIONS

Conferences

  1. Korala, H., Jayaraman, P.P., Georgakopoulos, D.,Yavari, A. , 2021. A Time-Sensitive IoT Data Analysis Framework. In Proceedings of the 54th Hawaii International Conference on System Sciences.
  2. Korala, H., Jayaraman, P.P., Yavari, A., and Georgakopoulos, D., 2020. APOLLO: A Platform for Experimental Analysis of Time Sensitive Multimedia IoT Applications . In the 18th International Conference on Advances in Mobile Computing and Multimedia (MoMM ’20).
  3. Yavari, A., Georgakopoulos, D. , Agrawal, H., Korala, H., Jayaraman, P. P., D., and Milovac, J., 2020. Internet of Things Milk Spectrum Profiling for Industry 4.0 Dairy and Milk Manufacturing. In Proceedings of the 34th International Conference on Information Networking.
  4. Foroughimehr, N., Yavari, A., Hanlon, M., Wallace, J., Smith, R., and Franich, R., 2020. Data-driven Optimisation of in vivo Radioactive Source-tracking for Real-time Cancer Radiotherapy Treatment Verification. Health Informatics and Knowledge Management (HIKM).
  5. Yavari, A., Georgakopoulos, D., Stoddart, P. R., and Shafie, M., 2019. Internet of Things-based Hydrocarbon Sensing for Real-time Environmental Monitoring. In Proceedings of the IEEE 5th World Forum on Internet of Things.
  6. Forkan, A.R.M., Montori, F., Georgakopoulos, D., Jayaraman, P.P., Yavari, A. and Morshed, A., 2019, July. An Industrial IoT Solution for Evaluating Workers’ Performance Via Activity Recognition. In IEEE 39th International Conference on Distributed Computing Systems (ICDCS).
  7. Moser, I, McCarthy, C, Jayaraman, PP, Ghaderi, H, Dia, H, Li R, Simmons, M, Mehmood, U, Tan, AM, Weizman, Y, Yavari, A., Georgakopoulos, D., Fuss, F.K., 2019. A Methodology for Empirically Evaluating Passenger Counting Technologies in Public Transport. In Australasian Transport Research Forum (ATRF).
  8. Yavari, A., Jayaraman, P. P., Georgakopoulos, D., and Nepal, S., 2017. ConTaaS: An Approach to Internet-Scale Contextualisation for Developing Eÿcient Internet of Things Applications. In Proceedings of the 50th Hawaii International Conference on System Sciences. IBM/ISSIP Best Paper Award
  9. Georgakopoulos, D., Yavari, A., Jayaraman, P.P., and Ranjan, R., 2017. Towards a RISC Framework for Eÿcient Contextualisation in the IoT. In IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA.
  10.  Soltanpoor, R. and Yavari, A., 2017, CoALA: Contextualization Framework for Smart Learning Analytics. In the proceeding of the IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).
  11. Yavari, A., Soltani Panah, A., Georgakopoulos D., Jayaraman, PP., and Van Schyndel, R.,2017. Scalable Role-based Data Disclosure Control for the Internet of Things. International Conference on Distributed Computing Systems.
  12. Yavari, A., Jayaraman, P.P, and Georgakopoulos, D.,2016. Contextualised service delivery in the internet of things: parking recommender for smart cities. In IEEE 3rd World Forum on Internet of Things (WF-IoT).
  13. Yavari, A., Lungaro, P. and Segall, Z., 2013. Network Eÿcient Resource Management for Mobile Video Streaming based on Quality of Experience. In 2013 International Conference on ICT Convergence (ICTC).


    Journals

     

  14. Soltani Panah, A., Yavari, A., Van Schyndel, R., Georgakopoulos, D., and Yi, X., 2019. Context-aware Granular Disclosure Control for Internet of Things: A data centric perspective. IEEE Transactions on Big Data.

  15. Montori, F., Jayaraman, P. P., Yavari, A., Hassani, A., and Georgakopoulos, D. (2018). The Curse of Sensing: Survey of techniques and challenges to cope with sparse and dense data in mobile crowd sensing for Internet of Things. Pervasive and Mobile Computing.

  16. Jayaraman, P.P., Yang, X., Yavari, A., Georgakopoulos, D., and Yi, X., 2017. Integrated Protection for Privacy-Sensitive Internet of Things Data. Future Generation Computer Systems

  17. Jayaraman, P.P., Yavari, A., Georgakopoulos, D., Morshed, A. and Zaslavsky, A., 2016. Internet of Things Platform for Smart Farming. Sensors, 16(11), p.1884.

  18. Shah, T., Yavari, Y., Mitra, K., Saguna, S., Jayaraman, P.P., Rabhi, F. and Ranjan, R., 2016. Remote health care cyber-physical system. IET Cyber-Physical Systems: Theory & Applications.

     


    Book Chapter
  19. Yavari, A., Georgakopoulos, D., 2020. IoTSec: A Lightweight and Holistic IoT Security based on IoT Data Contextualisation and Homomorphic Encryption

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RESEARCH

Research and Teaching Interests

Internet of Things, Big Data Analytic, Security, and Mobile & Cloud computing are the main research and teaching interests.

Industrial and collaborative research projects in Smart Manufacturing & Industry 4.0, Digital Healthcare, Smart Agriculture, and Supply Chain Management having knowledge and experience in:

  •  Big Data Processing and Analysis, and in particular developing methods to enable large-scale collection of distributed and heterogeneous data sets on Internet connected devices supported by real-time data processing/reasoning in the cloud or similar distributed environment.
  •  Contextualisation and in particular developing techniques that exclude irrelevant data form consideration and have the potential to reduce data from several aspects including volume, velocity, and variety in IoT applications and subsequently improve the data processing and knowledge extraction in large-scale IoT applications.
  • Semantic Web and in particular data formats and exchange protocols on the Web that have the potential to be extended and be more compatible for large-scale Internet of Things applications and platforms.
  • Mobile computing and Cloud Computing and in particular Techniques and frameworks to store, process, and manage of Internet scale data using Cloud infrastructure
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Awards

  • Creativity Award from Oracle and Locatrix Communication, TADHack, 2017, Melbourne, Australia
    • Roya: a platform for engagement with communities for people with limitations
    • A group formed from RMIT staff and students has won the creativity award at TADHack, the largest telecommunications hackathon in the world.
    • RMIT News

  • International Conference on Distributed Computing Systems Travel Grant, 2017, Atlanta, USA
  • Conference Bursary from The Emerging Sensing Technologies Summit, 2018, Melbourne, Australia
  • Faculty of Science Engineering and Technology Research Collaboration Across Non-traditional Boundaries Award, Swinburne University of Technology, 2019, Melbourne, Australia


Scholarships

  • CSIRO’s Office of the Chief Executive Scholarship, 2014, Sydney, Australia
  • Scholarship from RMIT School of Computer Science and Information Technology, 2015, Melbourne, Australia
  • Scholarship from Australian Research Council, 2014, Melbourne, Australia

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TEACHING

  • IoT Programming, SWE30011
    • Swinburne University of Technology, S1 – 2019, Melbourne, Australia 
    • Designer and Developer of the Curriculum, Convener, and Lecturer
    • The course aim is to teach students the fundamentals of developing IoT-based solutions for Smart Homes, Smart Cities etc., using IoT sensors and devices.
  • Topics in Computer Science, COS40004
    • Swinburne University of Technology, S2 2020, Melbourne, Australia
    • Designer and Developer of the Curriculum, Convener, and Lecturer
    • The course aim is to provide a flexible unit of study which allows the student to undertake a new, experimental, prototype, specialised coursework or research unit.
  • Postgraduate Software Engineering Project, COSC2648                
    • RMIT University, ,Melbourne, Australia             
    • Designer and Developer of the Curriculum, Tutor, and Lecturer
    • The course aim is to provide students with hands-on practical experience developing software in a project environment. Each team of 4-6 students should complete projects from inception to implementation.
  • Information Technology Infrastructure and Security, COSC2737
    • RMIT University, Melbourne, Australia
    • Tutor
    • The course aim is to provide a broad introduction to the fundamentals of web and data communication, network and associated security concepts and technology.
  • Big Data and Internet of Things Security
    • RMIT University, Ministry of Defence(Vietnam), Melbourne, Australia
    • Designer and Developer of the Curriculum and Lecturer
    • The course aim is to provide a broad introduction understanding to the challenges and opportunities associated to Internet of Things and Big Data Security
  • Rapid Application Development, COSC2675  
    • RMIT University,  Melbourne, Australia  
    • Tutor
    • Rapid application development provides a range of enabling skills for independent development of complete and industry standard software applications. These skills will equip students to be ready for commercial development and to meet the demand of clients of various sizes, especially start-ups.
  • Professional Computing Practice, COSC1147
    • RMIT University, Melbourne, Australia
    • Designer and Developer of the Curriculum, co-lecturer, and head tutor
    • This course was an introduction to computing ethics, law and marketing. It was intended for students who have not studied business principles, or who have little work experience in the industry
  • Advanced Professional Development, COSC2615  
    • RMIT University,     Melbourne, Australia
    • Designer and Developer of the Curriculum, co-lecturer, and tutor
    • The topics covered in this course include: social implications of computing in a digital world; impact of social media; ethical theories and principles within IT context; IT professional ethics; intellectual property; professional communication; computer crime; ethics of sustainability (including global social and environmental impacts of computer use and disposal).
  • Introduction to Information Technology, COSC1078
    • RMIT University, Melbourne, Australia             
    • Head Tutor
    • The course aim was to provide the foundation knowledge of contemporary Information Technology areas, software, applications and job skills required to enter the IT market. A major component of the course was the practical application of the knowledge gained from the theoretical content. The material covered a broad range of introductory Information Technology concepts.
  • Developing Mobile and Web Application, ID2216
    • KTH Royal Institute of Technology,Stockholm, Sweden
    • Designer and Developer of the Curriculum, co-lecturer, and tutor
    • The course was an introductory course in technologies to create mobile applications and mobile services. The course taught students efficient methods and practice on how to create native and platform independent (Web) mobile applications, as well as techniques for developing web-based mobile services.
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Seminars and Talks

  • Novel and Effective Sensing in Internet-Scale Smart Services and Applications
    • Emerging Sensing Technologies Summit 
    • Melbourne, Australia
  • Contextualisation of Data for Secure and Scalable Internet of Things Applications    
    • Sensing Research Network (SSRN)
    • Melbourne, Australia         
  • From Internet-scale Sensing and Contextualisation to Smart Services and Applications     
    • Wireless@KTH, KTH Royal Institute of Technology   
    • Stockholm, Sweden          
  • Internet-Scale Data in Internet of Things Applications     
    • Japan Advanced Institute of Science and Technology     
    • Tokyo, Japan
  • An Approach to Internet-Scale Contextualisation for Developing Efficient IoT Services     
    • The International Society of Service Innovation Professionals 
    • California, USA       
  •  Contextualisation of Internet-scale data in Internet of Things Applications     
    • New Jersey Institute of Technology (NJIT)
    • New Jersey, USA     
  • Internet of Things challenges and opportunities
    • RMIT University          
    • Melbourne, Australia   
  • Internet-scale Data in Internet of Things     
    • RMIT University          
    • Melbourne, Australia             
  • Introduction to Open Source Software Development
    • RMIT University     
    • Melbourne, Australia              
  • Network Efficient Resource Management for Mobile Video Streaming
    • International Conference on ICT Convergence (ICTC)     
    • Da Nang, Vietnam         
  • Towards a semantic-aware location positioning for smart-phones 
    • International Conference on Ubiquitous and Future Network 
    • Jeju Island, South Korea           
  • Semantic-aware Resource Management for Wireless Networks   
    • European Institute of Innovation and Technology      
    • Stockholm, Sweden             
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Professional Activities

Technical Program Committee Member 

  • November 14 – 18, 2021, The Thirteenth International Conference on Advances in Future Internet, Athens, Greece
  • September 5-10, 2021, The 2021 IEEE World Congress on Services, Online
  • November 29 – December 01, 2021, The 19th International Conference on Advances in Mobile Computing & Multimedia (MoMM2021), Linz, Austria
  • December 27-29, 2021, International Conference on Electronics, Communications and information Technology, Sanya, China
  • June 19-20, 2021, International Conference on Big Data and Machine Learning,  Copenhagen, Denmark
  • October 22-24, 2021, 4th International Conference on Computer Science and Software Engineering, Singapore 
  • September 24-26, 2021, International Conference on Big Data Technologies, Zibo, China
  • September 24-27, 2021, Asia Conference on Computers and Communications, Singapore 
  • July 23-25, 2021, 4th International Conference on Data Science and Information Technology, Shanghai, China
  • July 18 – 22, 2021, The Sixteenth International Multi-Conference on Computing in the Global Information Technology, Nice, France
  • May 22-24, 2021, 6th International Conference on Big Data and Computing, Shenzhen, China
  • May 28-31, 2021 International Workshop on Software Engineering and Applications (WSEA 2021), Chengdu, China
  • April 23-26, 2021, The 6th International Conference on Computer and Communication Systems,  Chengdu, China
  • Feb 1-5, 2021, 19th Australasian Symposium on Parallel and Distributed Computing,  Online
  • April 23-26, 2021, International Conference on Information Technology and Internet of Things, Chengdu, China
  • December 6-7 2020, The 6th International Conference on E-Learning (ECONF20), Online 
  • December 4-6, 2020, Asia Conference on Computers and Communications, Singapore
  • July 24-26 2020, International Conference on Data Science and Information Technology, Xiamen, China
  • April 24-26 2020, International Conference on Wireless Communication and Big Data, Sanya, China
  • June 11-13 2019, International Conference on Big Data Engineering, Hong Kong
  • November 18-20, 2020, International Conference on Advanced Information Science and System, Shenzhen, China
  • September 18-20, 2020, International Conference on Big Data Technologies, Qingdao, China
  • October 18-20, 2020, International Conference on Evolving Internet, Porto, Portugal
  • Dec 25, 2019, The International Conference on Information Technology and Internet of Things, Shanghai, China
  • November 15-17, 2019, International Conference on Advanced Information Science and System, Singapore
  • 2017, IEEE Region 10 Symposium; 2015, International Conference on Signal Processing & Data Mining
  • July 16-18 2016, Global Summit on Computer and Information Technology, Sousse, Tunisia
  • January 18-20, 2015, International Conference on Computer Vision and Image Analysis applications, Sousse, Tunisia
  • August 24-26, 2015, International Conference on Mobile Web and Intelligent Information Systems, Rome, Italy
  • 2015 & 2014, International Conference on Computer Vision and Image Analysis
  • 2014 & 2015 & 2016, International Conference on Advances in Computing, Communications and Informatics

Advisory Committee Member

  • February 19-21, 2021, International Conference on Data Mining and Knowledge Discovery , Chiang Mai, Thailand
  • February 17-19, 2020, International Conference on Data Mining and Knowledge Discovery, Sydney, Australia
  • April 26-28 2019, International Conference on Data Mining and Knowledge Discovery, Shanghai, China 
  • May 25-27, 2018, International Conference on Data Mining and Knowledge Discovery, Beijing, China

Reviewer

  • 2020, MDPI Sensors Journal
  • April 24-25, 2021,  International Conference on Computer Science and Information Technology, Copenhagen, Denmark
  • 2020, ACM Transactions on Internet of Things
  • 2020, International Journal of Computing and Digital Systems 
  • 2020, International Conference on Data Mining & Knowledge Management Process
  • 2020, International Conference on Innovation and Intelligence for Informatics, Computing and Technologies
  • July 29-30, 2020, Internet of Things and Embedded Intelligence, Yogyakarta, Indonesia
  • 2020, International Conference on Electrical Engineering, Computer Science and Informatics
  • 2020, International Journal of Computing and Digital Systems
  • 2019, IEEE Big Data; 2019, International Symposium on Intelligent Systems Technologies and Applications
  • 2019, IEEE Middle East & North Africa Communications Conference
  • 2015 & 2016, International Workshop on the Design and Performance of Networks on Chip
  • 2015 & 2016 International Symposium on Web of Things and Big Data Bahrain
  • 2015, Communication and Energy Systems
  • 2015, International Conference on High Performance Compilation, Computing and Communications
  • 2015, IEEE International Symposium on Signal Processing and Information Technology
  • 2014, EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing

Current Memberships

  • IEEE Senior Member 
  • IEEE Communications Society
  • IEEE Computer Society
  • IEEE Power and Energy Society
  • IEEE Young Professionals
  • IEEE Smart Cities
  • IEEE Internet of Things Community
  • IEEE Cyber-security Community
  • IEEE Cloud Computing
  • IEEE Big Data Community
  • Association for Computing Machinery (ACM)

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Skills and Certificates

Software and Hardware Development Skills

  • IoT Hardware Platforms: TI Sensor tags, Arduino, Libelium, Raspberry Pi
  • IoT Technologies: MQTT, REST, XMPP, AMQP, CoAP, Websocket, NFC, EnOceanLoRa, ZigBee, RFID, BLE, EnOcean, 6LowPAN, and SSN
  • Databases: MySQL, Microsoft SQL Server 2000, SQL-92, Mogo DB (No SQL database), Amazon Simple DB (No SQL database)
  • Programming: Java, Python Shell scripting, C/C++, Python, Ruby on Rails ○␣ Mobile Development: Android, Boostrap, Mobile Web Application, Phonegap ○␣ UX/UI design: Photoshop, Wireframe, Mockup, and Prototype.
  • Programming Environments: JDeveloper, Eclipse, Netbeans
  • Web Technology/Web Servers: JSP, XML, Web services (REST and SOAP), PHP, CSS, Java, Apache
  • Cloud Platforms: Amazon AWS, NECTAR, Microsoft Azure, Cumulocity
  • Network Technologies: Good working and implementation knowledge of most commonly used Internet protocols (SMTP,
  • TCP/IP, FTP, POP3 etc.), VPN protocols and implementations, Wireless technologies
  • Network Tools: SVN Server, Wireshark/Ethereal, Webmin, phpMyAdmin
  • Big Data Technologies: Apache Storm, Hadoop, Mahout (working knowledge), Amazon Web Services platform (AWS, Simple DB, Amazon S3)
  • Server Environments: Microsoft Windows Server, Linux, Sun Solaris, Cisco command language ○␣ Semantic and Graph Technologies: SPARQL, Ontologies, Virtuoso.
  • Build/Support Tools: Ant, Maven, SVN, GitHub

Professional Certificates

  • Microsoft Certified Professional – Designing Security (Windows Server) from Microsoft
  • Project Management certificate from Queensland University of Technology
  • Entrepreneurship certificate from Queensland University of Technology
  • Cisco Certified Network Associate from Cisco
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CONTACT

 

 


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