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Scalable Information Systems

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)
Area Editors:
  • Hamed Taherdoost (Research Club / Research and Development Department | Hamta Group / Hamta Business Solution Sdn Bhd)+ BioHamed Taherdoost holds a PhD in computer science from Universiti Teknologi Malaysia, MSc in information security, and BSc in the science of power electricity. With over 17 years of experience in both industry and academia, Hamed has established himself as an industry leader in the fields of Management and Information System. Hamed specializes in business management and information technology management. He started his career in 2001 as an electrical designer and programmer in Tablokar, a leading switchgear panel manufacturer in the Middle East. He has subsequently worked in IT transformation, systems analysis, and user experience analysis, and has held positions as varied as Business Manager, Project Manager, Executive Manager, CITO, CBO, CTO and CEO at international companies from Cyprus, the UK, Belize, Iran, and Malaysia such as at HAMTA GROUP | Hamta Business Solution Sdn Bhd, at an IT company, Beshnas Technology Sdn Bhd, at Ahoora Ltd, a management consultation group, and at Simurgh Pvt, an international trade company. Aside from his experience in industry, he also has numerous outstanding achievements in academia. Hamed has authored over 120 scientific articles in peer-reviewed international journals and conference proceedings, as well as six books. His academic employment started in 2009 when he became a lecturer at IAU and Payam Noor University. Moreover, he serves as an advisory board member and reviewer for many international journals and has organized and chaired numerous conferences and conference sessions respectively. Currently, he is the Team Leader & Supervisor of Research Club and Hamta Academy, Malaysia, Advisory Board of Cambridge Scholars Publishing, UK and Scientific Board of Nan Yang Academy of Sciences (NASS), Singapore. He is a Senior Member of the IEEE, Member of British Science Association, Sales Management Association, Production and Operations Management Society, American Association for Science and Technology, Scientific and Technical Research Association, IEEE Cybersecurity, Cyber Ethics and Cyber Peace, IEEE Blockchain Community, IFIP TC 11 Working Group and many other professional bodies. Particularly, he has completed Associate in Project Management (CAPM), Information Systems Auditor (CISA), Certified Ethical Hacker (CEH), Information Security Manager (CISM), PMI Risk Management Professional, Project Management Professional (PMP), Computer Hacking Forensic Investigator (CHFI) and Certified Information Systems (CIS), courses. His research and industry knowledge areas are Management of Information System, Technology Acceptance Models and Frameworks, Information Security, Information Technology Management, Web Service Quality and Security, Performance Evaluation, Project Management, Business Management, Leadership, Manufacturing Strategies, Business and Research Proposal Development, International Business, IT/IS Management, Multi-Criteria Decision Analysis (TOPSIS, Analytic Network Process, Analytical Hierarchy Process and SMART), Business Analysis and Market Research, User Acceptance Testing and Web Project Management.
  • 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 (Uniiversity of Minho)
  • Giancarlo Fortino (University of Calabria)
  • Ajay Kattepur (Tata Consultancy Services)
  • 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, 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)
  • Mirjana Ivanovic (University of Novi Sad)
  • Manik Sharma (DAV University, India)+ BioDr Manik Sharma is MCA and UGC-NET qualified, and received his PhD degree in Distributed Query Optimization. He has more than 12 years of teaching experience, having previously worked as head of the Department of Computer Science and Application and officiating principal at Sewa Devi S.D. College, India. Currently, he is working as an Assistant Professor in the Department of Computer Science and Applications at DAV University, Jalandhar, India. His main research work focuses on query optimization, data mining, soft computing and machine learning. Currently, he is working in the area of data mining, machine learning and soft computing, with a specialization in the diagnosis of diseases and modeling of DSS query optimizers. The thrust area of his research is to improve predictive accuracy in early diagnosis of several fatal human disorders. He has published four books related to computer networks, internet applications, management information systems and database theory. In addition, he has published 25 research papers in various journals of international repute including some indexed by Scopus and Thomson Reuters. He also presented more than 10 research articles in various national and international UGC and IEEE conferences, and has given several talks on query optimization, data mining and health informatics. He is an active member of the international program committees, technical program committees, and advisory committees of several academic conferences.
  • Aniello Castiglione (University of Naples Parthenope)
  • Dr.VIJAYAKUMAR PONNUSAMY (ASSOCIATE PROFESSOR,SRM UNIVERSITY)+ BioPublications: • International Journal Published: 58 • Conferences paper presented: International: 30; National: 23 Few Selected Publications: 1. Vijayakumar Ponnusamy,abajieet,balaji,sangeetha,”A Palm Vein Recognition System based on support vector machine”, IEIE Transaction on smart processing and computing ,accepted ,Dec 2018.(Scopus indexed). 2. 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), Science Citation Index, IF= 2.367),nov 2018. 3. Arumbhu, S. Malarvizhi, P.Vijayakumar, “Design of TAS-STBC-ESM(F) transceiver and Performance analysis for 20 bpcu”, IEEE access ,March 2018. (Science Citation Index, IF=3.244) 4. Arumbhu, S. Malarvizhi, P.Vijayakumar,” Performance Analysis of SPSK with Dual Polarized Transmit Antennas over Rayleigh fading channel”, selected in the Journal of Telecommunications and Information Technology, no. 1/2018. (Scopus indexed). 5. P.Vijayakumar, Ranjan R., Malarvizhi S, “Waveform Generation and Reception of IEEE 802.11p Standard for CR-VANET Application”, Smart Computing and Informatics, Smart Innovation, Systems and Technologies, vol 77.,pp 583-591, 2018, Springer (Scopus indexed, book series). 6. P.Vijayakumar, George J, Malarvizhi S, Sriram A, “Analysis and Implementation of Reliable Spectrum Sensing in OFDM Based Cognitive Radio”, Smart Computing and Informatics, Smart Innovation, Systems and Technologies, vol 77, pp 565-572 ,2018, Springer(Scopus indexed, book series). 7. P. Vijayakumar, S. Malarvizhi, “Self-Diagnosis of Cognitive Relay on the Joint Impact of Hardware Impairment and Channel Estimation Error”, Int. J. of Systems, Control and Communications, 2017, Vol.8, No.4, pp.335 - 347 (Scopus indexed). 8. P. Vijayakumar, S. Malarvizhi, “Wide Band Full Duplex Spectrum Sensing with SelfInterference Cancellation–an Efficient SDR Implementation “Mobile Networks & Applications, 22(4), 702-711,2017 (SCI indexed ;IMP=1.538). 9. 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 (Science Citation Index, IF=0.951).10. 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 (Science Citation Index, IF=0.951). 11. 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 (Science Citation Index, IF=0.951). 12. P.Vijayakumar , Bahraini Jayapandian Kasthuri and Mayuri.B.R, “Game Theory based Hybrid Cognitive Radio Transmission”, Indian Journal of Science and Technology, Vol 9(20), May 2016(Scopus indexed) 13. P.Vijayakumar, S.Malarvizhi , LTE-U Link Adaptation for Next Generation Wireless Networks”, International Journal of Control Theory and Applications, Vol.9, No.34, (2016), 391-399 (Scopus indexed) 14. P. Vijayakumar, S. Malarvizhi "MIMO Cognitive Radio Spectrum Sharing Using spatial coding and user Scheduling for Fading Channels" , International Journal Of Multimedia And Ubiquitous Engineering , Vol.11, No.3 (2016), pp.103-114 (Scopus indexed) 15. P. Vijayakumar, S. Malarvizhi, “Reconfigurable Filter Bank Multicarrier Modulation for Cognitive Radio Spectrum Sharing - A SDR Implementation”, Indian journal of science and technology, vol 9.issue 6, Feb 2016. (Scopus indexed) 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) 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(  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)
  • Dongming Li (Nanjing University of Posts and Telecommunications)
  • Chin-Ling Chen (Chaoyang University of Technology)
  • Karolj Skala (Rudjer Boskovic Institute)+ BioKarolj Skala ( 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)+ BioI am currently a Professor of Computer Science at Stockton University in Galloway, NJ, USA, and I am also affiliated with our Behavioral Neuroscience program. Additionally, I am the Program Coordinator (Stockton's term for "Chair") of our Computer Science program. I earned a Ph.D. in Robotics from Carnegie Mellon University, as well as an M.S. in Computer Science, B.S. in Computer Science, and B.S. in Mathematics from Drexel University. My research interests include evolutionary computation, swarm intelligence, computational intelligence, and machine learning.
  • 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)
Aims & Scope

As the data volumes continue to increase and the ways of information dispersion across the globe continue to diversify, new scalable methods and structures are needed for efficiently processing those distributed and autonomous data. Grid computing, P2P technology, distributed information retrieval technology and networking technology all must be merged to address the scalability concern.

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