About

Dr Ali Yavari is Senior Research Fellow at School of Science, Computing and Engineering Technologies at Swinburne University of Technology, Australia. He has received his Master of Science degree in Communication 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 affiliated with Digital Productivity Flagship and Data61 at CSIRO. Prior to that, he was Research Engineer at KTH University in Communication Systems Department and 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, Dr Yavari 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 1) Highly Commended Mention in Vice-Chancellor’s Research Excellence (Early Career) Award and 2) Faculty of Science Engineering and Technology Research Collaboration Across Non-traditional Boundaries Award from Swinburne University of Technology, 3) Best paper award from Hawaii International Conference on System Sciences Conference, 4) Creativity Award from Oracle, and 5) First prize at the Unearthed Hackathon.

Dr Yavari has received the prestigious Victoria Fellowship in Physical Sciences from the Victoria State Government (The Hon. Jaala Pulford). 

Being fascinated about teaching and supervision, Ali has supervised several students and capstone projects mainly in the area of IoT, cloud computing, Industry 4.0, big data analytic, and machine learning. he has developed and designed curriculum for several units such as IoT programming and Topics in Computer Science.

RESUME

EDUCATION

• PhD in Computer Science
  RMIT University
  Melbourne, Australia
  • Thesis 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

• Director of Radiofrequency Lab, 2021 – current
  Swinburne University of Technology
  School of Science, Computing and Engineering Technologies
  Melbourne, Australia

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  Senior Research Engineer (Software and Data Analytic), 2017 – 2021
  Swinburne University of Technology
  Internet of Things Lab
  Melbourne, Australia 

• Sessional Lecturer, Head Tutor, and Tutor, 2015 – 2018
  RMIT University
  Melbourne, Australia

• Research Engineer, 2012 – 2013
  KTH Royal Institute of Technology
  Stockholm, Sweden

PUBLICATIONS

Journal

• Hashmi, Razeen, Huai Liu, and Ali Yavari. “Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review.” Energies 17, no. 11 (2024): 2456.

• Yavari, Ali, Christopher J. Harrison, Saman A. Gorji, and Mahnaz Shafiei. “Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants.” Sensors 24, no. 10 (2024): 3239.

• Foroughimehr, N., Clayton, A.H. and Yavari, A., 2024. Exploring Skin Interactions with 5G Millimeter-Wave through Fluorescence Lifetime Imaging Microscopy. Electronics, 13(9), p.1630.

• Holder, David, Steven David Percy, and Ali Yavari. “A Review of Port Decarbonisation Options: Identified Opportunities for Deploying Hydrogen Technologies.” Sustainability 16, no. 8 (2024): 3299.

• Foroughimehr, Negin, Andrew Wood, Ray McKenzie, Ken Karipidis, and Ali Yavari. “Design and Implementation of a Specialised Millimetre-Wave Exposure System for Investigating the Radiation Effects of 5G and Future Technologies.” Sensors 24, no. 5 (2024): 1516.

• Yavari, Ali, Irfan Baig Mirza, Hamid Bagha, Harindu Korala, Hussein Dia, Paul Scifleet, Jason Sargent, Caroline Tjung, and Mahnaz Shafiei. “ArtEMon: Artificial Intelligence and Internet of Things Powered Greenhouse Gas Sensing for Real-Time Emissions Monitoring.” Sensors 23, no. 18 (2023): 7971.

• Foroughimehr, N., Vilagosh, Z., Yavari, A. and Wood, A., 2023. The Effects of mmW and THz Radiation on Dry Eyes: A Finite-Difference Time-Domain (FDTD) Computational Simulation Using XFdtd. Sensors, 23(13), p.5853.

• Yavari, Ali, Harindu Korala, Dimitrios Georgakopoulos, Jonathan Kua, and Hamid Bagha. 2023. “Sazgar IoT: A Device-Centric IoT Framework and Approximation Technique for Efficient and Scalable IoT Data Processing” Sensors 23, no. 11: 5211. https://doi.org/10.3390/s23115211

• Pakseresht, Ashkan, Ali Yavari, Sina Ahmadi Kaliji, and Karin Hakelius. “The intersection of blockchain technology and circular economy in the agri-food sector.” Sustainable Production and Consumption (2023).

• Mirza, Irfan Baig, Dimitrios Georgakopoulos, and Ali Yavari. “Cyber-Physical-Social Awareness Platform for Comprehensive Situation Awareness.” Sensors 23, no. 2 (2023): 822.

• Foroughimehr, Negin, Zoltan Vilagosh, Ali Yavari, and Andrew Wood. 2022. “Investigating the Impact of Synchrotron THz Radiation on the Corneal Hydration Using Synchrotron THz-Far Infrared Beamline” Sensors 22, no. 21: 8261.

• Mirza, Irfan Baig, Dimitrios Georgakopoulos, and Ali Yavari. 2022. “Improving Situation Awareness via a Situation Model-Based Intersection of IoT Sensor and Social Media Information Spaces” Sensors 22, no. 20: 7823. https://doi.org/10.3390/s22207823

• Yavari, Ali, Hamid Bagha, Harindu Korala, Irfan Mirza, Hussein Dia, Paul Scifleet, Jason Sargent, and Mahnaz Shafiei. 2022. “ParcEMon: IoT Platform for Real-Time Parcel Level Last-Mile Delivery Greenhouse Gas Emissions Reporting and Management” Sensors 22, no. 19: 7380.

• Foroughimehr, N., Vilagosh, Z., Yavari, A. and Wood, A., 2022. The Impact of Base Cell Size Setup on the Finite Difference Time Domain Computational Simulation of Human Cornea Exposed to Millimeter Wave Radiation at Frequencies above 30 GHz. Sensors, 22(15), p.5924.

• Bagha, Hamid, Ali Yavari, and Dimitrios Georgakopoulos. 2022. “Hybrid Sensing Platform for IoT-Based Precision Agriculture” Future Internet 14, no. 8: 233. https://doi.org/10.3390/fi14080233

• Korala, Harindu, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, and Ali Yavari. “A Survey of Techniques for Fulfilling the Time-Bound Requirements of Time-Sensitive IoT Applications.” ACM Computing Surveys (2022).

• Korala, H.; Georgakopoulos, D.; Jayaraman, P.P.; Yavari, A. Managing Time-Sensitive IoT Applications via Dynamic Application Task Distribution and Adaptation. Remote Sensing. 2021, 13, 4148.

• McCarthy, Chris, Irene Moser, Prem Prakash Jayaraman, Hadi Ghaderi, Adin Ming Tan, Ali Yavari, Ubaid Mehmood et al. “A Field Study of Internet of Things-based Solutions for Automatic Passenger Counting.” IEEE Open Journal of Intelligent Transportation Systems (2021).

• 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.
  

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• 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.
  

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• 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
  

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• 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.
  

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• 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.

Conference

• Bagha, Hamid, Ali Yavari, and Dimitrios Georgakopoulos. “IoT-based Plant Health Analysis using Optical Sensors in Precision Agriculture.” In 2021 Digital Image Computing: Techniques and Applications (DICTA), pp. 01-08. IEEE, 2021.

• Korala, H., Yavari, A., Georgakopoulos, D., & Jayaraman, P. P. (2020, December). Design and Implementation of a Platform for Managing Time-Sensitive IoT Applications. In 2020 IEEE 6th International Conference on Collaboration and Internet Computing (CIC) (pp. 44-53). IEEE.

• 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.

• 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).

• 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.

• 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).

• 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.

• 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).

• 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).

• 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

• 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.

•  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).

• 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.

• 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).

• 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).

Book Chapter

• Yavari A., Georgakopoulos D., 2021. IoTSec: A Lightweight and Holistic IoT Security Based on IoT Data Contextualisation and Homomorphic Encryption. In Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future. Lecture Notes in Computer Science, vol 12521. Springer, Cham.

RESEARCH

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

Awards

• Vice-Chancellor’s Research Excellence (Early Career) Award , Swinburne University of Technology
  
  • 2023 Vice-Chancellor’s Award winners
  • 
• Highly Commended Mention in Vice-Chancellor’s Research Excellence (Early Career) Award , Swinburne University of Technology
  
  • 2021 Vice-Chancellor’s Award winners

• Victoria Fellowship 2020 in Physical Sciences 
  • Victoria Fellowship for Swinburne’s Dr Ali Yavari

• 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

• Best paper award: Hawaii International Conference on System Sciences Conference, ISSIP-IBM Paper Award for Best Industry Studies, 2017, Hawaii, USA
• First place winner of the Unearthed Hackathon by developing a solution called PPEofThings to enhance safety of mine workers, 2015, Melbourne, Australia
  • RMIT & CSIRO develop smart safety system for mining workers
  • Unearthed Melbourne Winners: IoT Meets PPE
  • Clothing with Bluetooth safety alerts idea wins mining hackathon
  • Making mining wearables

• 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

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.

Presentations

• 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             

Professional Activities

Technical Program Committee Member 

• March 13-15, 2025, 10th International Conference on Big Data Analytics (ICBDA), Singapore
• June 20-22, 2025, International Conference on Communications, Computing and Artificial Intelligence, Xi’an, China
• June 24 – 27, 2024, the International Conference on Telecommunications (ICT), Amman, Jordan
• November 22-24, 2024, 3rd International Conference on Communications, Information System and Data Science (CISDS 2024), Nanjing, China
• April 27 – 28, 2024, 12th International Conference of Information Technology, Control and Automation (ITCA 2024), Copenhagen, Denmark
• September 20-22, 2024, 7th International Conference on Big Data Technologies, Hangzhou, China
• July 04-06, 2024, International Conference on Computer, Software and Modeling, Paris, France
• June 28-30, 2024, International Conference on Algorithms, Computing and Data Processing, Chengdu, China
• May 24-26, 2024, 9th International Conference on Big Data and Computing, Bangkok, Thailand
• March 15-17, 2024, 2nd International Conference on Mathematics, Computation and Modeling (CMCM 2024), Chengdu, China 
• March 22-24, 2024, Asia Conference on Algorithms, Computing and Machine Learning (CACML2024), Shanghai, China
• December 8-10, 2023, International Conference on Data, Information and Computing Science (CDICS), Singapore
• October 27-29, 2023, International Communication Engineering and Cloud Computing Conference, Nanjing, China
• February 1-3, 2024, International Conference on Computer Technologies (ICCTech 2024), Bali, Indonesia
• November 24-26, 2023, International Conference on Frontiers of Communications, Information System and Data Science (CISDS 2023), Xian, China
• Oct. 27-29, 2023, Asia Conference on Mathematics, Data Science and Information System (MDSIS 2023), Sanya, China
• July 26-28, 2023, International Conference on Computer Science and Communication Technology (ICCSCT2023), Wuhan, China
• September 25 – 29, 2023, International Conference on Advances in Future Internet, Porto, Portugal
• Nov. 24-26, 2023, International Conference on Advanced Information Science and System (AISS 2023), Bangkok,Thailand
• December 22-24, International Conference on Electronics, Communications and Information Technology (CECIT 2023), Sanya, China
• September 22-24, 2023, International Conference on Big Data Technologies (ICBDT 2023), Qingdao, China
• October 27-29, 2023, Asia Conference on Mathematics, Data Science and Information System, Sanya, China 
• July 28-30, 2023, International Conference on Data Science and Information Technology (DSIT 2023), Shanghai, China
• February 23-25, 2023, International Conference on Computer Technologies (ICCT 2023), Kuantan, Malaysia 
• January 6-8, 2023, International Conference on Information Network and Computer Communications, Beijing, China
• November 28-30, 2022, 20th International Conference on Advances in Mobile Computing and Multimedia (MoMM2022), Italy
• November 4-6, 2022, 4th International Conference on Applications of Big Data and Artificial Intelligence, Sanya, China
• August 26-28, 2022, Intelligent Manufacturing, Advanced Sensing and Big Data, Guilin | China
• August 22-24, 2022, 8th International Workshop on Mobile Applications (MobiApps 2022), Rome, Italy
• May 27-30, 2022, The 5th International Conference on Artificial Intelligence and Big Data (ICAIBD 2022), Chengdu, China
• Sept. 23-25, 2022, International Conference on Algorithms, Data Mining, and Information Technology, Xi’an, China
• November 25-27, 2022 , International Conference on Frontiers of Communications, Information System and Data Science, Guangzhou, China
• July 29-31, 2022, The 3rd Asia Conference on Computers and Communications, Shanghai, China
• July 10-16, 2022, IEEE International Conference on Cloud Computing (CLOUD), Barcelona, Spain
• Sept 23-25, 2022, 5th International Conference on Big Data Technologies, Qingdao, China
• January 14-16, 4th Asia Pacific Information Technology Conference, Bangkok, Thailand
• May 22 – 26, 2022, The Seventeenth International Multi-Conference on Computing in the Global Information Technology, Venice, Italy
• May 22 – 26, 2022, International Conference on Evolving Internet, Venice, Italy
• July 21-23, 2022, 6th International Conference on Computer, Software and Modeling, Rome, Italy 
• December 17-19, 2021, The International Conference on Frontiers in Cyber Security, Haikou, China
• 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 19^th 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, 4^th 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, 4^th 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, 6^th 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 6^th International Conference on Computer and Communication Systems,  Chengdu, China
• Feb 1-5, 2021, 19^th 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 6^th 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
  

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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

• 2020-2024, MDPI Sensors Journal
• 2023, MDPI Systems Journal
• 2022, MDPI Agriculture Journal
• September 5-11, 2021, IEEE Cloud, Online
• 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)

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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