Scalable Information Systems

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ISSN: 2032-9407

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Editorial Board

Editors in Chief:

Xiaohua Jia (City University of Hong Kong)
Hua Wang (Victoria University)+ BioHua is a full time Professor at the Centre for Applied Informatics (CAI), Victoria University (VU). Before joining VU, he was a Professor at the University of Southern Queensland (USQ) during 2011-2013. He obtained his PhD in Computer Science from USQ in 2004. Hua has over 200 peer-reviewed research papers mainly in data security, data mining, access control, privacy and web services, as well as their applications in the fields of e-health and e-environment. Recent publications K. Cheng, L. Wang, Y. Shen, H. Wang, Y. Wang, X. Jiang. Secure k-NN Query on Encrypted Cloud Data with Multiple Keys. Accepted by Transactions on Big Data. 2017. Y. Shen, T. Zhang, Y. Wang, H. Wang and X. Jiang. MicroThings: A generic IoT Architecture for flexible data aggregation and scalable service cooperation. Accepted by IEEE Communications Magazine, May, 2017. M. Peng, W. Gao, H. Wang, Y. Zhang, G. Tiang, Parallelization of Massive Text Stream Compression Based on Compressed Sensing. Accepted by ACM Transactions on Information Systems. 2017. Y. Zhang, Y. Shen, H. Wang, J. Yong, X. Jiang, On Secure Wireless Communications for IoT under Eavesdropper Collusion. IEEE Trans. Automation Science and Engineering 13(3) (external link): 1281-1293 (2016). J. Zhang, H. Li, X. Liu, Y. Luo, F. Chen, H. Wang, L. Chang. On Efficient and Robust Anonymization for Privacy Protection on Massive Streaming Categorical Information. IEEE Transactions on Dependable and Secure Computing, no.1, pp. 1, 01/2015; DOI: 10.1109/TDSC.2015.2483503. Y. Zhang, Y. Shen, H. Wang, Y. Zhang, X. Jiang, On Secure Wireless Communications for Service Oriented Computing, IEEE Transactions on Services Computing, no. 1, pp. 1, doi:10.1109/TSC.2015.2478453 J. Ma, L. Sun, H. Wang, Y. Zhang and U. Aickelin, Supervised Anomaly Detection in Uncertain Sensor Data Streams, ACM Trans. Internet Techn. 16(1) (external link): 4:1-4:20 (2016).
Dr Manik Sharma (DAV University Jalandhar, India)
Hua Wang (ISILC)

Area Editors:

Hamed Taherdoost (Research Club / Research and Development Department | Hamta Group / Hamta Business Solution Sdn Bhd)+ BioHamed Taherdoost is the founder of Hamta Group and the R&D Manager of OBS Tech Limited, B.C, Canada. He holds PhD of Computer Science from university Teknologi Malaysia. With over 19 years of experience in both industry and academic sectors, he has established himself as an industry leader in the field of Management of Technology and Information System. He has been highly involved in development of several important projects in different industries including residential, oil and gas, laboratory, hospital, transportation and IT development as a project manager, R&D manager, technology head, business manager, team leader and supervisor. Apart of his experience in industry background, he also has numerous achievements in academic environment. His views on science and technology has been published in leading publications such as Elsevier, Springer, Emerald, IEEE, IGI Global, Inderscience, Taylor and Francis and he has published over 120 scientific articles in authentic peer-reviewed international journals and conference proceedings, seven book chapters as well as six books in the field of technology and research methodology. He was lecturer in IAU and PNU Universities. Beside on lectureship positions, he was researcher at IAU for over 8 years, R&D Manager and Academic Program Manager of Research Club and Hamta Academy, Malaysia, and is Advisory Board of Cambridge Scholars Publishing, UK, Scientific and Technical Research Association and Scientific Board of Nan Yang Academy of Sciences (NASS), Singapore. Moreover, he serves many international journals as an editor or advisory board, and has organized and chaired numerous conferences and conference sessions respectively and also acting as Editor in Chief of four International Journals. Currently, he is Senior Member of Institute of Electrical and Electronics Engineers (IEEE), Senior Member of International Academy of Science and Engineering for Development (IASED), Senior Member, International Economics Development Research Center (IEDRC), Working group member of International Federation for Information Processing - IFIP TC 11 - Human Aspects of Information Security and Assurance and Information Security Management, Professional Member of Institute for Engineering Research and Publication (IFERP) and Member of Cyber Security & Information Systems, Information Analysis Center (CSIAC), American Council for Technology - Industry Advisory Council (ACT-IAC) and many other professional bodies. He is Certified Graduate Technologist, PMI Risk Management Professional, Project Management Professional, CIS, CAPM, CEH, CISA, CISM, CHP, CCNA and Certified Cyber Security Technologists.
Phan Cong Vinh (Nguyen Tat Thanh University (NTTU))+ BioPhan Cong Vinh received a PhD in computer science from London South Bank University (LSBU) in the United Kingdom. He finished his PhD dissertation with the title of “Formal Aspects of Dynamic Reconfigurability in Reconfigurable Computing Systems” at LSBU where he was affiliated with the Center for Applied Formal Methods (CAFM) at the Institute for Computing Research (ICR). At present, he is an Associate Professor of Nguyen Tat Thanh University (NTTU) to take on the responsibility of a senior research scientist. He has been author or co-author of many refereed contributions published in prestigious journals, conference proceedings or edited books. He is editor of three books titled, “Autonomic Networking-on-Chip: Bio-Inspired Specification, Development and Verification” (CRC Press, 2012), “Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development and Verification” (IGI Global, 2011) and “Nature-Inspired Networking: Theory and Applications” (CRC Press, 2018). He has served on many conference program committees and has been general or technical (co)chair and (co)organizer of several international conferences such as ICCASA and ICTCC series. His research interests center on all aspects of formal methods in computing, context-awareness, nature of computation and communication, and applied categorical structures in computer science.
Jose Machado (University of Minho)+ BioJose Machado is Associate Professor with Habilitation of the Department of Informatics, School of Engineering, University of Minho. He is at the University of Minho since 1988. He got his PhD in Computer Science in 2002 and Habilitation in 2011. He teaches and taught more than 50 curricular units in the topics of Databases, Artificial Intelligence, Knowledge Engineering, Intelligent Systems, Medical Informatics, Computer Science for Law and Informatics in different and related fields of Computer Engineering. He taught short courses in Angola at the Catholic University and at the Military Technical Institute. He has always prioritized work in scientific R&D groups geared towards application in industrial domains and public services, in particular courts, hospitals and city councils. He has participated in dozens of publicly funded projects through FCT, the European Community or through the provision of services to the Community. He is one of the authors of the AIDA platform (Agency for Interoperation, Dissemination and Medical Information Archives), currently operating in several hospitals in Portugal. The AIDA platform is an example of the success of the strategy followed in terms of technology transfer from the University to abroad, having received several national prizes (Hospital of the Future 2007, 2008 and 2009, Good Practices in Health 2014, Portugal Digital Awards 2016). He also co-authored the first version of the Diploma Supplement which follows the model developed by the European Commission, Council of Europe and UNESCO / CEPES, which aims to provide sufficient independent data to improve international "transparency" and academic education, as well as professional recognition of qualifications. He is director of the ALGORITMI R&D Center of the School of Engineering of the University of Minho since 2017. He is former Associate Director of ALGORITMI (2016-17). He is a founding member and former header of ALGORITMI's "Computer Science and Technology" research line and he is founder and header of ALGORITMI's "Knowledge Engineering" group. ALGORITMI Research Center, is one of the largest national centers recognized by the Foundation for Science and Technology in the area of TICE, having in January 2020 more than 500 members (206 PhD researchers), most of whom are career professors from 4 departments of the School of Engineering of the University of Minho. He is former Director of the CCTC-Center for Computer Science and Technology (2013-2015). He supervised 5 PhDs, 51 MSc and 1 post-Doc students. He supervises now 18 PhD students (Biomedical Engineering and Informatics), 20 MsC students (Biomedical Engineering and Informatics) and 2 post-Docs. He supervises also several grants in research projects. He was also evaluator of research projects from scientific entities of Canada, Swiss and UAE, as well as of the European Science Foundation and ALBAN program. He leads the project DRIVES-Development and Research on Innovative Vocational Education Skills, in the University of Minho, involving 23 institutions from 11 European countries. He is or was involved in the collaboration projects between Bosch Car Multimedia and ALGORITMI. The works are developed within the group of "Knowledge Engineering", he coordinates. He has 355 publications in books, book chapters, journals and proceedings of international and national conferences, of which 269 are indexed (ISI, Scopus, DBLP, ACM). He has in Scopus 1347 citations, h-index = 18, authors from 43 countries. He is a member of the "editorial advisory board" of 4 international journals or "book series", member of the editorial board of 9 international journals (e.g Applied Sciences-MDPI, Artificial Intelligence-MDPI, Scalable Information Systems-EAI Transactions, Open Computer Science-De Gruyter, IJRQEH-IGI Global) and was a reviewer of more than 50 articles in international journals (e.g. IJERPH-MDPI, Mathematical Problems in Engineering-Hindawi, Journal of Ambient Intelligence and Humanized Computing-Springer, International Journal of Medical Informatics-Elsevier, Computer Methods and Programs in Biomedicine-Elsevier, Journal of Clinical Medicine-MDPI, Frontiers of Medicine-Frontiers, Journal of Biomedical Informatics-Elsevier, Health Informatics Journal-Sage, Expert Systems-Wiley). He has been a reviewer of publications at international conferences more than 200 times. He was conference chair of 3 international conferences (EPIA, ESM, ISC), involved in the organization committee of 3 international conferences (EUMAS, ICMA, ECEA) and organized 41 workshops or special sessions at international level. He was a member of the board of the Portuguese Association for Artificial Intelligence (2006-2013) and he is the chair of the IEEE Computational Intelligence Society, Portuguese Chapter (2020-2021).
Tzung-Pei Hong (National University of Kaohsiung, Kaohsing City, Taiwan)
José Merseguer (Universidad de Zaragoza)
Houbing Song (Embry-Riddle Aeronautical University)+ BioHoubing Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. In August 2017, he joined the Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He served on the faculty of West Virginia University from August 2012 to August 2017. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He serves as an Associate Technical Editor for IEEE Communications Magazine. He is the editor of four books, including Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyber-physical systems, cybersecurity and privacy, internet of things, edge computing, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. Dr. Song is a senior member of ACM. Dr. Song was the very first recipient of the Golden Bear Scholar Award, the highest campus-wide recognition for research excellence at West Virginia University Institute of Technology (WVU Tech), in 2016.
Tuan Phung-Duc (University of Tsukuba, JP)
Chang Choi (Chosun Univ.)
Sherman S.M. Chow (The Chinese University of Hong Kong)
Manik Sharma (DAV University, India)+ BioManik Sharma is an MCA, UGC-NET qualified and has received his Ph.D. degree in “Distributed Query Optimization” from IKG Punjab Technical University, Kapoorthala, India. Dr. Sharma is currently working as an Assistant Professor in the Department of Computer Science and Applications, DAV University Jalandhar, India. Dr. Sharma has 15 years of teaching and research experience. His research interests include Machine Learning, Optimization Techniques, Health Informatics and Smart Systems. The thrust area is to design a smart and innovative artificial intelligence based Clinical Decision Support System for the effective management of major human psychological disorders. Dr. Sharma authored/coauthored over 50 International Journal articles, Conference Proceedings, and Book Chapters. Dr. Sharma is serving as an Associate Editor for IEEE Access, BMC Public Health, and Journal of Medical Imaging and Health Informatics. He is also serving as a reviewer for various international Journals including IEEE, Springer, Elsevier, MDPI, and SAGE publications. Moreover, he served as the member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).
Aniello Castiglione (University of Naples Parthenope)
Dr.VIJAYAKUMAR PONNUSAMY ( PROFESSOR,SRM UNIVERSITY)+ BioPublications: International Journal ((SCI:20;Scopus indexed-56; other indexed -29, under revision :7): International Conference:59 national conference:23 Few Selected Publications: 1. Dilliraj Ekambaram, Vijayakumar Ponnusamy, Suresh Thevarayan Natarajan,, Mariyam Farzana Subhan Firos Khan ,Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders, , Traitement du Signal, Accepted ,Jan 11,2023. 2. Nandhakumar, vijayakumar, amankumar"LSTM Based Spectrum Prediction for Real-Time Spectrum Access for IoT Applications”, Intelligent Automation & Soft Computing (SCI),Vol.35, No.3, 2023 , https://doi.org/10.32604/iasc.2023.028645,(SCI) 3. Nandhakumar,Saranya,Vijayakumar,Detection of Diabetic Retinopathy from Retinal Images Using DenseNet Models, Computer Systems Science and Engineering,vol.45,issue.1,pp.279-292,2023(SCI) 4. Andiappan, V. and Ponnusamy, V.,. Deep Learning Enhanced NOMA System: A Survey on Future Scope and Challenges. Wireless Personal Communications 123, 839–877 (2022).(SCI) 5. Vasuki A , Vijayakumar Ponnusamy, Error Rate Analysis of Intelligent Reflecting Surfaces Aided Non-Orthogonal Multiple Access System, 33(1), 71-86. Intelligent Automation &Soft Computing(SCI). https://doi.org/10.32604/iasc.2022.022586, 6. Amman Kumar Mishra, Vijayakumar ponnusamy ,Deep Learning-Based Decoding and AP Selection for Radio Stripe Network, Intelligent Automation&SoftComputing,Vol.32,No.1,JAN_2022,pp.131-148, doi:10.32604/iasc.2022.021017 (SCI) 7. Malathy,Vijayakumar ponnusamy,Saravanan, Deepa ,Tariq, A Design Framework for Smart Ration Shop using Blockchain and IoT Technologies, Intelligent Automation & Soft Computing, Vol.32, No.1, JAN_2022, pp.605-619, doi:10.32604/iasc.2022.022083 (SCI) 8. Amman Kumar Mishra, Vijayakumar Ponnusamy, Analytical Outage and Coverage Performance analysis of Cell-Free massive MIMO system Based on Radio Stripe, International Journal of Communication Systems, Volume34, Issue13 ,SEP_2021(SCI) 9. V. Padmajothi, J L Mazher Iqbal, Vijayakumar Ponnusamy, Load Aware Intelligent Multiprocessor Scheduler for Time-Critical Cyber-Physical System Applications, accepted, June 2021, Computers and Electrical Engineering. (SCI) 10. R.Kayalvizhi,Amit kumar,S.Malarvizhi,AnitaTopkar,P.Vijayakumar,Raw data processing techniques for material classification of objects in dual energy X-ray baggage inspection systems,Radiation Physics and Chemistry,Available online 21 April 2021,https://doi.org/10.1016/j.radphyschem.2021.109512. (SCI) 11. N. Sowmya; Vijayakumar Ponnusamy, Development of Spectroscopic Sensor System for an IoT Application of Adulteration Identification on Milk Using Machine Learning, IEEE Access ( Volume: 9)02 April 2021,pp.,53979 - 53995, DOI: 10.1109/ACCESS.2021.3070558. (SCI) 12. J. Christopher Clement · N. Indira ,P.Vijayakumar · R. Nandakumar Vijayakumar, Deep learning based modulation classification for 5G and beyond wireless systems,peer to peer communication,oct,2020.https://doi.org/10.1007/s12083-020-01003-3. (SCI) 13. VijayakumarPonnusamy,Kottilingam Kottursamy,T.Karthick,M.B.Mukeshkrishn and D.Malathie, Tariq Ahamed Ahanger, primary user emulation attack mitigation using neural network, Computers and Electrical Engineering, Volume 88, December 2020(SCI) 14. Kanagasabapathy PM, Kedalu Poornachary V, Murugan S, Natesan A, Ponnusamy V. Rapid jamming detection approach based on fuzzy in WSN. International Journal of Communication Systems. 2022 Jan 25;35(2):e4205.(SCI Indexed) 15. Vijayakumar KP; Pradeep Mohan Kumar K; Kottilingam K; Karthick T; Ganeskumar P; Vijayakumar P, "An Adaptive Neuro Fuzzy Logic based Jamming Detection System in WSN", Soft Computing(ISSN: 1432-7643), SCI, IF= 2.367),nov 2018. 16. Arumbhu, S. Malarvizhi, P.Vijayakumar, “Design of TAS-STBC-ESM(F) transceiver and Performance analysis for 20 bpcu”, IEEE access, March 2018.( SCI )( https://ieeexplore.ieee.org/document/8329963/) 17. P. Vijayakumar,S. Malarvizhi , “Hardware Impairment Detection and Prewhitening on MIMO Precoder for Spectrum Sharing”, Wireless Personal Communication(ISSN No.0929-6212) , Springer Journal, 96(1), pp.1557–1576 ,September 2017 (SCI F=0.951; https://link.springer.com/article/10.1007/s11277-017-4256-6). 18. P.Vijayakumar, S. Malarvihi,” Green Spectrum Sharing: Genetic Algorithm Based SDR Implementation”, Wireless Personal Communication (ISSN No.0929-6212), Springer Journal, 94(4), pp 2303–2324, June 2017. (SCI, https://link.springer.com/article/10.1007/s11277-016-3427-1). 19. P. Vijayakumar, S. Malarvizhi, “Wide Band Full Duplex Spectrum Sensing with Self-Interference Cancellation–an Efficient SDR Implementation “Mobile Networks & Applications, 22(4), 702-711,2017 (SCI ;IMP=3.259; https://link.springer.com/article/10.1007/s11036-017-0844-7). 20. P.Vijayakumar, S.Malarvizhi, “Fuzzy Logic Based Decision System for Context Aware Cognitive Waveform Generation”, Wireless Personal Communications (ISSN No.0929-6212), 94(4), pp. 2681–2703, June 2017 (SCI , IF=0.951; https://link.springer.com/article/10.1007/s11277-016-3879-3). Education:  Completed Data scientist using R specialization in datacamp -Online (23 courses )  Completed PhD, Wireless Communication (Cognitive Radio-applied machine learning in wireless communication) in SRM IST Tamil Nadu, India, on Feb, 21, 2018. Dissertation Topic: “Design of Fuzzy Decisive Cognitive Engine and Context Aware Waveform Generation”  Certified “IOT Specialist” through online course , University of California, Irvine  M.E (Applied Electronics) - College Of Engineering, Guindy, Anna University, India, May 2006 with First class.  B.E (Electronics and Communication Engineering) From University of Madras, India on April 2000 with First class Research Experience: (along with teaching) Research Projects ongoing:  BRNS grant: Rs 23,95,650.00, Project titled: "Real time hardware based raw data processing for dual energy X-ray baggage Inspection system XBIS" Investigators: Dr S.Malarvizhi and Vijayakumar.P; dated 1/8/17; sanction number 34/14/07/2017-BRNS/34282. Methods involved: Machine learning algorithms of neural network, convolutional neural network, FPGA implementation and computational complexity optimization for real time object detection. Completed: o NI sponsored AWR software tool of two licenses (worth 2x $57,600 ) for one year , for case study making under two Projects of 1. “Full Duplex Cognitive Hybrid Multiband System for V2V Communication” - Methods involved: SDR implementation of 802.11P with Game theory. 2. “Chaotic Communication System Simulation “ o DST-FIST MIMO OFDM project –PhD Research Scholar o Mentor for SRM Nano SAT Project in Onboard Computing and Communication Subsystem o Pilot Project-Vehicle Tracking System ,1 Lakh Sponsored by SRM University Award Received: o Received best paper award in international conference of internet of things ICIOT- 2019 for the paper “performance analysis of millimeter wave radar for connected vehicles” held in SRM IST, from 11 to 15 March,2019. o Nominated and certified as Best Reviewer of ICVISP 18 international conference 12 Oct 2018 o I2OR-Outstanding Researcher Award 2018 by international institute of organized research, Dec 2018. o Dr .Abdul Kalam Young Scientist Award 13 Oct 2018 from Marina Lab,Chennai. o Awarded “Adarsh Vidya Saraswati Rashtriya Puraskar” by Global Management Council on 15th August 2018 o IEAE Research Excellence Award, March, 2018. o Selected for Prestigious IRDP Award 2018”Teaching and Research Excellence” for remarkable achievements in Teaching, Research and Publications at Chennai on 30th May 2018 o NI Engineering impact award November 19th 2015-acadamic category for innovative application development for full duplex CR transmission using NI USRP RIO 2943R ((XILINK Kintext7 FPGA programming and signal processing optimization) http://india.ni.com/nieia/winners/2015 Patent: o An Indian Patent filled: A System and Method for Self Diagnosis and Mitigation of Hardware Impairments In Wireless Transceivers, Application#: 201841025130 and Date of Filing: July 05, 2018 ( PhD work) With Machine learning algorithm of SVM and Neural network.o An Indian Patent filled: a system and method for achieving higher spectral and energy efficiency in index modulation transceiver, Application#: 201841035475 and Date of Filing: September 20, 2018 Skill Set: Hardware and Software Tools:  Machine Learning and Deep Learning Programming on MATLAB, Python on Anaconda Navigator: Scikit-learn, Tensorflow, PyTorch and R programming.  RTOS -DSP-BIOS  Languages- C, C++, JAVA, MATLAB, VHDL, Labview, Python  Embedded Processor -89C51RD2, Adriano, AVR, Raspberry Pi & it is IDEs.  DSP -TMS 320C5X, TMS320C6713 programming.  FPGA - Altera CYCLONE-III, Kinext 7  SDR-USRP 2943R;PXie platform based VSG and VGA  Wireless Protocol Development on SDR-LTE, 802.11 Mathematical and algorithmic skill:  Machine learning :SVM,K-means clustering, Neural Network ,Game theory ,Genetic algorithm, Fuzzy logic ,regression models, correlation analysis ,Decision Tree, Deep neural network, auto encoder, reinforcement learning, Bayesian network.  Probability Theory and Random Processing  Statistical Signal Processing  Linear algebra  Linear Optimization techniques Teaching Experience:  Working as Associate Professor in Dept. of ECE, SRM IST, Kattankulathur Campus, and Chennai from July 2018 to till date  Worked as Assistant Professor (Selection Grade) in Dept. of ECE, SRM IST, Kattankulathur Campus, Chennai from June 2017 to July 2018.  Worked Assistant Professor (Senior Grade) in Dept. of ECE, SRM IST, Kattankulathur Campus, and Chennai from June 2007 June 2017.  Worked as lecturer in Dept. of ECE, SRM IST, Ramapuram Campus, and Chennai from August 2005 to June 2007.  Worked as Senior Lecturer\HOD in charge in Dept. of ECE, Danish College of Engineering, padappai, Chennai from June 2004 to June 2005.  Worked as a lecturer\HOD in charge in the Dept. of ECE SMK Fomra Institute of Tech, kelambakkam, Chennai from July 2002 to June 2004.  Worked as lecturer in the Dept. of ECE, A.M.S College of engineering, Namakkal from June 2000 to July 2002.  Handled courses of communication theory, microwave and RF , Mobile computing and digital image processing in NOKIA Chennai as visiting faculty from 2009 to 2011  Handled DSP level II course & embedded projects as part time faculty in AU-PERSembedded technologies-Anna university from 2003-2004.Online Courses Completed: 57 Online courses completed with certificate of accomplishment in Coursera, Edx, NPTEL, udemy platform namely: Artificial Intelligence : Learn How To Build An AI , Python, Introduction to R ,Deep Learning : Hands-On Artificial Neural Networks, game theory ,machine learning, IOT,MIMO,OFDM,CDMA, a System View of Communication ,image and video processing, Linear and Integer Programming, Outcome Based Pedagogic Principles for Effective Teaching ,Computer Networks, Elements of Learner-Centric MOOCs , Introduction to Cloud Computing ,Probability and Random Variables/ Processes for Wireless Communications, writing in the Sciences and IEEE Certified Course on Innovation Management and Intellectual Properties Workshop / Training Program Attended: 29 workshop and training programs attended from 2010 to till date Professional Experience: Reviewers/Editorial member:  Technical conference committee Member for the 3rd International Conference on Vision, Image and Signal Processing (ICVISP 2019) held in , Vancouver, Canada , 2019  Reviewer in 9th international conference on Electronics, Communication and Networking (CECNet 2019), Japan.  Reviewer in IEEE Access journal  Reviewer in IEEE Internet of Things Journal  Reviewer in Acta Polytechnica  Reviewer in Wireless personal communication, springer journal  Reviewer in WSEAS Transactions on Communications  Reviewer in applied soft computing – Elsevier journal  Reviewer in digital communication and network – Elsevier journal  Reviewer in journal of electrical engineering and technology  Reviewer in COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering  Reviewer in Biomedical and Pharmacology Journal  Reviewer in CDVE2018: The 15th International Conference on Cooperative Design, Visualization and Engineering, Hangzhou, China  Editorial member in EnPress Publisher, USA for journal of Architecture and Design Review  Editorial member in Int. J. of Vehicle Information and Communication Systems (Inderscience Publishers)  Area Editor for the EAI Transactions on Journal e-Learning  Technical conference committee Member for the 2nd International Conference on Vision, Image and Signal Processing (ICVISP 2018) will be held in Las Vegas, USA on August 27-29, 2018.  Technical program committee member in ICCASA 2018 - 7th EAI International Conference on Context-Aware Systems and Applications, November 22-23, 2018,Viet Tri, Vietnam(http://iccasa.org/technical-program-committee/)  Reviewer in the 8th International Conference on Digital Information and Communication Technology and its Applications (DICTAP2018), Lodz, Poland. Reviewer in the Fifth International Conference on Artificial Intelligence and Pattern Recognition (AIPR2018) September 17-19, 2018, Lodz, Poland.  Reviewer in EAI Transactions on The Energy Green, Intelligent in Computing & Communication Technologies  Guest editor for Special Issue of Information systems enabling digitalized advances in society- (ItAIS2017, the 14th Conf. of the Italian Chapter of AIS (Association for Information Systems)
J Amudhavel (VIT Bhopal University)
Chin-Ling Chen (Chaoyang University of Technology)
Karolj Skala (Rudjer Boskovic Institute)+ BioKarolj Skala (skala@irb.hr) is a Senior Scientist at the Ruđer Bošković Institute head of Centre for informatics and Computing division. From 1989. lecturer at Zagreb University, the postgraduate courses in the Electrical Engineering and Computing Faculty he teaches Programmable logic devices. At the Graphical Faculty he lectures on Optoelectronics Systems. He holds various scientific and technical seminars. Chairmen of the international scientific symposium on Data and Life Sciences Based on Distributed Computing. Member of the MIPRO programme committee, and a member of the COGAIN association. National coordinator in the European Cooperation in Science and technology 4 COST projects. Involved in the 5 EU FP6 as a project member coordinator and 6 EU FP7 national project leader and 4 EU Horizon2020 projects. He is a member of Croatian Academy of Technical Science. Associate member of Hungary Academy of Science. The winner of the annual science prize for the Hungarian Academy of Sciences for 2015. He is awarded the State Awards for Science of Croatia for 2016.
Vincent Cicirello (Stockton University)+ BioVincent A. Cicirello, Ph.D. is a Professor of Computer Science at Stockton University in Galloway, NJ, USA, where he has been a faculty member since 2005. He is also among the founding faculty of Stockton University's Behavioral Neuroscience program, an interdisciplinary undergraduate minor. He earned a Ph.D. in Robotics from Carnegie Mellon University in 2003, and also graduated from Drexel University in 1999 with an M.S./B.S. in Computer Science, and a B.S. in Mathematics. His research interests include artificial intelligence, computational intelligence, evolutionary computation, machine learning, and swarm intelligence. He was designated an ACM Senior Member in 2011, received the 2005 AAAI Outstanding Paper award, and was nominated for the 2006 GECCO Best Genetic Algorithm Track Paper award. He received a U.S. Patent in 2010, and has published over 50 journal and conference publications. He is a member of AAAI (Life member), ACM (Senior Member), ACM SIGCSE, ACM SIGAI, ACM SIGEVO, CCSC, IEEE, IEEE Computer Society, IEEE Computational Intelligence Society, and SIAM.
Ji Zhang (The University of Southern Queensland)
Robertas Damasevicius (Kaunas University of Technology)
Xiaohui Tao ()
Hiep Huynh (Can Tho University, Vietnam)+ BioHiep Xuan Huynh received the Engineer degree from Can Tho University (CTU), the master’s degree from the l’Institut de la Francophonie pour l’Informatique (IF), the Ph.D. degree from the Polytechnics School of Nantes University (Polytech’Nantes, France), and the Habilitation à Diriger des Recherches (HDR) degree from the l’Université de Bretagne Occidentale (UBO, France), all in computer science. He is an Associate Professor of computer science with the College of Information and Communication Technology, Can Tho University, Vietnam. His research interests include modeling of decisions with interestingness measure and fuzzy integral, recommender system with statistical implicative analysis, a cyber-physical system with cellular automata and wireless sensor networks, metrics for computer vision and population dynamics, agriculture, aquaculture, and environment issues.
Thaier Hayajneh (Fordham University)+ BioThaier Hayajneh, Ph.D., SNIEEE, is the founder and director of Fordham Center for Cybersecurity, University Professor of Computer Science, and director of the cybersecurity programs at Fordham University, New York. He received his Ph.D. and M.S. degrees in Information Sciences with specialization in cybersecurity and Networking from the University of Pittsburgh, PA. He served on several NSF Cybersecurity review panels and serves as a CAE reviewer and mentor for NSA. His research focuses on system’s security, wireless security, applied cryptography, blockchain and cryptocurrency, and IoT security, privacy, and forensics. His research is/was funded by NSA, DoD, NSF…etc. He published over 90 papers in reputable journals and conferences and is serving/served as Editor in Chief, Editor, Program Chair, and a guest editor for several prestigious journals and leading conferences.
Arianna D'Ulizia (CNR - IRPPS)+ BioArianna D’Ulizia graduated in Computer Science Engineering from the “La Sapienza” University in Rome in 2005 and obtained a PhD in Computer Science and Automation from the “Roma Tre” University in Rome in 2009. She is currently a researcher with the Italian National Research Council Institute of Research on Population and Social Policies, Rome. She is author of more than 70 papers in international journals, conferences and books. She is mainly interested in human-computer interaction, multimodal interaction, visual languages, geographical query languages, social computing, risk governance, knowledge management and innovation. From 2006 to 2018, she was programme chair for several international workshops and conferences, such as the Workshop on Mobile and Networking Technologies for Social Applications (MONET 2006, MONET 2007, MONET 2008, MONET 2009, MONET 2010, MONET 2011), the Workshop on SOcial and MObile COmputing for Collaborative Environments (SOMOCO 2012, SOMOCO 2013), the Workshop on Mobile and Social Computing for Collaborative Interactions (MSC 2014, MSC 2015), and the International Conference on Responsible Research and Innovation in Science, Innovation and Society (RRI-SIS 2017, RRI-ICT 2018). She is associate editor of the IEEE Access journal. She is involved in the editorial board of several international journals in the field of computer science, such as the Journal of Universal Computer Science (J.UCS), the International Journal of Applied Logistics (IJAL) and the International Journal of Mobile Computing and Multimedia Communications (IJMCMC). She is also a reviewer for several international journals, such as Multimedia Tools And Applications (MTAP), PLoS One, IEEE Access, Sensore, Applied Sciences, Control & Cybernetics, International Journal of Innovation and Regional Development, IEEE Transactions on Human-Machine Systems, Advanced Robotics, etc. She has been a guest editor for several special issues of various international journals, such as the Journal of Computing Science and Engineering, Journal of Next Generation Information Technology and Multimedia Tools and Applications. Since 2016, she has been a scientific reviewer for several PRIN, FCS-H2020 PON and Italian “Rita Levi Montalcini” young researchers’ projects. She is part of many programming committees for national and international conferences and workshops. From 2005 to date, she has participated in 19 European and national projects.
Jerry Chun-Wei Lin (Western Norway University of Applied Sciences)+ BioJerry Chun-Wei Lin is currently working as the full Professor at the Department of Computer Science, Electrical Engineering and Mathematical Sciences,Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 300 research papers in refereed journals and international conferences. His research interests include data mining, soft computing, artificial intelligence and machine learning, and privacy-preserving and security technologies. He is the Editor-in-Chief of Data Science and Pattern Recognition (DSPR) journal, Associate Editor of Journal of Internet Technology and IEEE Access. He is the leader of the well-known SPMF project and also the founder and the leader of PPSF project. Moreover, he has been awarded as the Most Cited Chinese Researcher in 2018 by Elsevier. He is the Fellow of IET, IEEE Senior Member and ACM Senior Member.
Xiao-Zhi Gao (University of Eastern Finland, Finland)
Arianna D'Ulizia ()+ BioArianna D’Ulizia graduated in Computer Science Engineering from the “La Sapienza” University in Rome in 2005 and obtained a PhD in Computer Science and Automation from the “Roma Tre” University in Rome in 2009. She is currently a researcher with the Italian National Research Council Institute of Research on Population and Social Policies, Rome. She is author of more than 70 papers in international journals, conferences and books. She is mainly interested in human-computer interaction, multimodal interaction, visual languages, geographical query languages, social computing, risk governance, knowledge management and innovation. From 2006 to 2015, she was programme chair for several international workshops and conferences, such as the Workshop on Mobile and Networking Technologies for Social Applications (MONET 2006, MONET 2007, MONET 2008, MONET 2009, MONET 2010, MONET 2011), the Workshop on SOcial and MObile COmputing for Collaborative Environments (SOMOCO 2012, SOMOCO 2013), the Workshop on Mobile and Social Computing for Collaborative Interactions (MSC 2014, MSC 2015), and the International Conference on Responsible Research and Innovation in Science, Innovation and Society (RRI-SIS 2017, RRI-ICT 2018). She is associate editor for IEEE Access journal. She is involved in the editorial board of several international journals in the field of computer science, such as the Journal of Universal Computer Science (J.UCS), the International Journal of Applied Logistics (IJAL) and the International Journal of Mobile Computing and Multimedia Communications (IJMCMC). She is also a reviewer for several international journals, such as Multimedia Tools And Applications (MTAP), PLoS One, Control & Cybernetics, International Journal of Innovation and Regional Development, IEEE Transactions on Human-Machine Systems, Advanced Robotics, etc. She has been a guest editor for several special issues of various international journals, such as the Journal of Computing Science and Engineering, Journal of Next Generation Information Technology and Multimedia Tools and Applications. Since 2016, she has been a scientific reviewer for several PRIN, FCS-H2020 PON and Italian “Rita Levi Montalcini” young researchers’ projects. She is part of many programme committees for national and international conferences and workshops. From 2005 to date, she has participated in 19 European and national projects.
Nuno Garcia (University of Beira Interior)
Ye Wang (National University of Defence Technology)
Shuai Liu (Hunan Normal University)

Aims & Scope

EAI Endorsed Transactions on Scalable Information Systems is open access, a peer-reviewed scholarly journal focused on scalable distributed information systems, scalable, data mining, grid information systems, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications. From 2020, the journal started to publish five issues per year. Authors are not charged for article submission and processing.

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile and wireless database systems
Large scale sensor network systems
Index compression methods
Architectures for scalability
Scalable information system applications
Evaluation metrics for scalability
Information security

Keywords

Parallel processing, Information systems, Distributed systems, CDN, VLDB, Mobile computing, Sensor networks, Information security, Machine Learning