桑亞倫/ Arun Kumar Sangaiah

教授/ Professor

玉山青年學者/ Yushan Young Scholar

信箱:arunkumarsangaiah@gmail.com

最高學歷

韋洛爾理工大學電機資訊博士

Ph.D in Computer Science and Engineering, VIT University


研究領域

軟體工程 Software Engineering、類神經網路Neural Networks、粗集合 Rough Sets、基因演算法 Genetic Algorithms 、物聯網 IoT、無線感測網路 Wireless Sensor Networks、生物資訊科學 Bio-Informatics、雲端運算 Cloud Computing、嵌入式系統 Embedded Systems、全球軟體工程 Global Software Engineering、模糊集合論 Fuzzy Set Theory


  • India's Top 10 Outstanding Researchers award from Carrers360, India, in 2018.
  • Active Participation Award from Computer Society of India (CSI), in 2015.
  • Outstanding Contributor award from IEEE Computer Society in 2018.
  • VIT - Faculty Research Award: Received consistently from 2013 to till year.
  • Outstanding Visiting Faculty: Honor from Changsha University of Science and Technology, China, & Neusoft Institute, Foshan, China.
  • Research Award: Was awarded with the outstanding faculty award (Research) by the School of Computing Science and Engineering, VIT University, India in consecutively years from 2011-2016.
  • Outstanding Faculty Award: Was awarded the outstanding faculty award (Research) by the Department of Computer Science, &enspVIT University, India in 2015.
  • Active Participation Award: Was awarded the outstanding professional society award (Research) by the Computer Society of &enspIndia (CSI), India in 2015.

PUBLISHED BOOKS

  • Arun Kumar Sangaiah et al., (2019). Sustainable Green Cloud Computing: Informatics and Systems, Taylor and Francis, ISBN-13: 978-1138712430.
  • Arun Kumar Sangaiah et al., (2019). Intelligent Pervasive Computing Systems for Smarter Healthcare, Wiley Publishers, ISBN: 978-1-119-43896-0.
  • Arun Kumar Sangaiah et al., (2018). Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Elsevier Publishers, https://doi.org/10.1016/C2016-0-03919-0.
  • Arun Kumar Sangaiah et al., (2018). Cognitive Data Science Methods and Models over Internet of Things, Springer Publishers, https://www.doi.org/10.1007/978-3-319-70688-7.
  • Arun Kumar Sangaiah et al., (2017). Intelligent Decision Support Systems for Sustainable Computing, Studies on Computational Intelligence series, Springer Publishers, https://www.doi.org/%2010.1007/978-3-319-53153-3.
  • Arun Kumar Sangaiah et al., (2017). Applications of CI in Business Intelligence and Big Data Analytics , ISBN-13: 978-1498761017, Taylor and Francis (CRS Press).
  • Arun Kumar Sangaiah et al., (2017). Handbook of Research on Advanced Image Processing Techniques and Applications, DOI: 10.4018/978-1-5225-2053-5, IGI Publishers.
  • Arun Kumar Sangaiah et al., (2016). Fuzzy and Rough Set Theory in Organizational Decision Making, DOI: 10.4018/978-1-5225-1008-6, IGI Publishers.

Selected SCI JOURNAL PUBLICATIONS

  • Sangaiah, A. K., Medhane, D. V., Han, T., Hossain, M. S., & Muhammad, G. (2019). Enforcing Position-Based Con_dentiality with Machine Learning Paradigm through Mobile Edge Computing in Real-Time Industrial Informatics. IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2019.2898174 (SCI, IF= 6.764)
  • Qiu, T., Liu, X., Li, K., Hu, Q., Sangaiah, A. K., & Chen, N. (2018). Community-Aware Data Propagation with Small World Feature for Internet of Vehicles. IEEE Communications Magazine, 56(1), 86-91. (SCI, IF= 10.435)
  • Zheng, Z., Sangaiah, A. K., & Wang, T. (2018). Adaptive Communication Protocols in Flying Ad Hoc Network. IEEE Communications Magazine, 56(1), 136-142. (SCI, IF= 10.435)
  • Zhang, J., Qu, X., & Sangaiah, A. K. (2018). A Study of Green Development Mode and Total Factor Productivity of the Food Industry Based on the Industrial Internet of Things. IEEE Communications Magazine, 56(5), 72-78. (SCI, IF= 10.435)
  • Wen, J., Ren, C., & Sangaiah, A. K. (2018). Energy-E_cient Device-to-Device Edge Computing Network: An Approach O_oading Both Tra_c and Computation. IEEE Communications Magazine, 56(9), 96-102. (SCI, IF= 10.435)
  • Wang, T., Qiu, L., Xu, G., Sangaiah, A. K., & Liu, A. (2019). Energy-e_cient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things. IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2019.2920277. (SCI, IF= 6.764)
  • Wang, T., Ke, H., Zheng, X., Wang, K., Sangaiah, A. K., & Liu, A. (2019). Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud. IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2019.2938861. (SCI, IF= 6.764)
  • Sangaiah, A. K., Tirkolaee, E. B., Goli, A., & Dehnavi-Arani, S. (2019). Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem. Soft Computing, 1-21. https://doi.org/10.1007/s00500-019-04010-6. (SCIE, IF= 1.791)
  • Sangaiah, A. K., Bian, G. B., Bozorgi, S. M., Suraki, M. Y., Hosseinabadi, A. A. R., & Shareh, M. B. A novel quality-of-service-aware web services composition usingbiogeography-based optimization algorithm. Soft Computing, 1-13. https://doi.org/10.1007/s00500-019-04266-y. (SCIE, IF= 1.791)
  • Qiu, T., Wang, H., Li, K., Ning, H., Sangaiah, A. K., & Chen, B. (2018). SIGMM: A Novel Machine Learning Algorithm for  Spammer Identification in Industrial Mobile Cloud Computing. IEEE Transactions on Industrial Informatics.  0.1109/TII.2018.2799907. (SCI, IF= 6.764)
  • Lv, N., Chen, C., Qiu, T., & Sangaiah, A. K. (2018). Deep Learning and Superpixel Feature Extraction based on Sparse  Autoencoder for Change Detection in SAR Images. IEEE Transactions on Industrial Informatics. DOI:  10.1109/TII.2018.2873492. (SCI, IF= 6.764)
  • Ahmed, I., Ahmad, A., Piccialli, F., Sangaiah, A. K., & Jeon, G. (2017). A robust features based person tracker for overhead  views in industrial environment. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2017.2787779. (SCI, IF=5.863)
  • Qiu, T., Zhang, Y., Qiao, D., Zhang, X., Wymore, M. L., & Sangaiah, A. K. (2017). A Robust Time Synchronization Scheme for  Industrial Internet of Things. IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2017.2738842 (SCI, IF= 6.764)
  • Pirbhulal, S., Wu, W., Li, G., & Sangaiah, A. K. (2019). Medical Information Security for Wearable Body Sensor Networks in  Smart Healthcare. IEEE Consumer Electronics Magazine, 8(5), 37-41. (SCIE)
  • Zhang, J., Wang, W., Lu, C., Wang, J., & Sangaiah, A. K. (2019). Lightweight deep network for traffic sign classification  Annals of Telecommunications, 1-11. https://doi.org/10.1007/s12243-019-00731-9.9
  • Tie Qiu, Ruixuan Qiao, Min Han, Arun Kumar Sangaiah, Ivan Lee. A Lifetime-Enhanced Data Collecting Scheme for Internet  of Things. IEEE Communications Magazine, 2017, vol. 55, no. 11, pp. 132-137. (SCI, IF= 10.435)
  • Ramchandran, A., & Sangaiah, A. K. (2019). Unsupervised deep learning system for local anomaly event detection in  crowded scenes. Multimedia Tools and Applications, 1-21. https://doi.org/10.1007/s11042-019-7702-5 (SCIE, IF= 1.402)
  • Xiao, W., Zhang, B., Xiao, X., Sangaiah, A. K., Zhang, W., & Zhang, J. (2019). Ransomware classification using patch-based  CNN and self-attention network on embedded N-grams of opcodes. Future Generation Computer Systems.  https://doi.org/10.1016/j.future.2019.09.025.
  • Kumar, A., Singh, S. K., Saxena, S., Lakshmanan, K., Sangaiah, A. K., Chauhan, H., ... & Singh, R. K. (2020). Deep feature  learning for histopathological image classification of canine mammary tumors and human breast cancer. Information  Sciences, 508, 405-421.
  • Peng, Z., Xiao, X., Hu, G., Sangaiah, A. K., Atiquzzaman, M., & Xia, S. (2020). ABFL: An autoencoder based practical  approach for software fault localization. Information Sciences, 510, 108-121.
  • Medhane, D. V., & Sangaiah, A. K. (2018). PCCA: PCCA: position confidentiality conserving algorithm for content-protection  in e-governance services and applications. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(3), 194- 203.
  • Qiu, T., Chen, B., Sangaiah, A. K., Ma, J., & Huang, R. (2017). A Survey of Mobile Social Networks: Applications, Social  Characteristics, and Challenges. IEEE Systems Journal. (SCI, IF=4.337)
  • Xiao, Z., Li, X., Wang, L., Yang, Q., Du, J., & Sangaiah, A. K. (2017). Using convolution control block for Chinese sentiment  analysis. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2017.10.018. (SCIE, IF= 1.476)
  • Chen, M. Y., Chiang, H. S., Sangaiah, A. K., & Hsieh, T. C. Recurrent neural network with attention mechanism for language  model. Neural Computing and Applications, 1-9. https://doi.org/10.1007/s00521-019-04301-x (SCI, IF=1.855)
  • Goyal, R. K., Kaushal, S., & Sangaiah, A. K. (2017). The utility based non-linear fuzzy AHP optimization model for network  selection in heterogeneous wireless networks. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2017.05.026. (SCI, IF=  3.541)
  • Khanduzi, R., & Sangaiah, A. K. (2019). A fast genetic algorithm for a critical protection problem in biomedical supply chain  networks. Applied Soft Computing, 75, 162-179. (SCI, IF= 3.541)
  • L. Huang, Y. Ma, Y. Liu, A.K. Sangaiah* (2017), Multi-modal Bayesian embedding for point-of-interest recommendation on  location-based cyber-physical-social networks, Future Generation Computer Systems  https://doi.org/10.1016/j.future.2017.12.020. (SCI, IF= 3.071)
  • Anni, J. S., & Sangaiah, A. K. (2017). Wireless Integrated Sensor Network: Boundary Intellect system for elephant detection  via cognitive theory and Fuzzy Cognitive Maps. Future Generation Computer Systems, Elsevier Publishers,  http://dx.doi.org/10.1016/j.future.2017.02.019. (SCI, IF= 3.071)
  • Khanduzi, R., Peyghami, M. R., & Sangaiah, A. K. (2017). Data envelopment analysis and interdiction median problem with  forti_cation for enabling IoT technologies to relieve potential attacks. Future Generation Computer Systems.  https://doi.org/10.1016/j.future.2017.08.056. (SCI, IF= 3.071)
  • Sangaiah, A. K., Pham, H., Qiu, T., & Muhammad, K. Convergence of deep machine learning and parallel computing  environment for bioengineering applications. Concurrency and Computation: Practice and Experience,  e5424.https://doi.org/10.1002/cpe.5424 .(SCIE, IF= 1.024)
  • Chen, C., Liu, X., Qiu, T., & Sangaiah, A. K. (2017). A short-term traffic prediction model in the vehicular cyber–physical  systems. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.06.006. (SCI, IF= 3.071)
  • Sodhro, A. H., Pirbhulal, S., & Sangaiah, A. K. (2018). Convergence of IoT and product lifecycle management in medical  health care. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.03.052. (SCI, IF= 3.071)
  • Wu, W., Pirbhulal, S., Sangaiah, A. K., Mukhopadhyay, S. C., & Li, G. (2018). Optimization of signal quality over comfortability  of textile electrodes for ECG 11 monitoring in fog computing based medical applications. Future Generation Computer  Systems. https://doi.org/10.1016/j.future.2018.04.024. (SCI, IF= 3.071)
  • Yang, J., Wen, J., Jiang, B., Lv, Z., & Sangaiah, A. K. (2018). Marine depth mapping algorithm based on the edge computing  in Internet of things. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2017.12.016 (SCIE, IF=  1.476)
  • Medhane, D. V., & Sangaiah, A. K. (2017). ESCAPE: E_ective Scalable Clustering Approach for Parallel Execution of  continuous position-based queries in position monitoring applications. IEEE Transactions on Sustainable Computing. DOI:  10.1109/TSUSC.2017.2690378.
  • Balakrishnan, S. M., & Sangaiah, A. K. (2016). MIFIM—Middleware solution for service centric anomaly in future internet  models. Future Generation Computer Systems, Elsevier Publishers, http://dx.doi.org/10.1016/j.future.2016.08.006. (SCI, IF=  3.071)
  • Jain, V., Sangaiah, A.K*., Sakhuja, S. et al. (2016). Supplier selection using fuzzy AHP and TOPSIS: a case study in the  Indian automotive industry, Neural Computing & Applications, Springer Publishers, DOI:10.1007/s00521-016-2533-z. (SCI,  IF=1.855)
  • Sangaiah, A. K., Suraki, M. Y., Sadeghilalimi, M., Bozorgi, S. M., Hosseinabadi, A. A. R., & Wang, J. (2019). A New Meta- Heuristic Algorithm for Solving the Flexible Dynamic Job-Shop Problem with Parallel Machines. Symmetry, 11(2), 165. (SCIE,  IF= 1.041)
  • Zhang, H., Zhang, W., Lv, Z., Sangaiah, A. K., Huang, T., & Chilamkurti, N. (2019). MALDC: a depth detection method for  malware based on behavior chains. World Wide Web, 1-20.https://doi.org/10.1007/s11280-019-00675-z. (SCIE, IF= 1.150)
  • Malathi, D., Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., & Sangaiah, A. K. (2019). Hybrid Reasoning-based Privacy- Aware Disease Prediction Support System. Computers & Electrical Engineering, 73, 114-127. (SCIE, IF= 1.157)
  • Sodhro, A. H., Luo, Z., Sangaiah, A. K., & Baik, S. W. (2018). Mobile edge computing based QoS optimization in medical  healthcare applications. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2018.08.004.  (SCIE)
  • Dhandabani, R., Periyasamy, S. S., Theagarajan, P., & Sangaiah, A. K. (2018). Six-face cubical key encryption and decryption  based on product cipher using hybridisation and Rubik's cubes. IET Networks, 7(5), 313-320. (SCIE)
  • Tirkolaee, E. B., Goli, A., Hematian, M., Sangaiah, A. K., & Han, T. (2019). Multi-objective multi-mode resource constrained  project scheduling problem using Pareto-based algorithms. Computing, 1-24. https://doi.org/10.1007/s00607-018-00693-1.  (SCIE)
  • Gupta, N., Mahajan, N., Kaushal, S., Kumar, N., Kumar, H., & Sangaiah, A. K. Predictive model for hardware calibration to  transmit realtime applications in VoIP networks. Concurrency and Computation: Practice and Experience, e5190.(SCIE, IF=  1.024)
  • Goli, A., Tirkolaee, E. B., Malmir, B., Bian, G. B., & Sangaiah, A. K.* (2019). A multi-objective invasive weed optimization  algorithm for robust aggregate production planning under uncertain seasonal demand. Computing, 1- 31.https://doi.org/10.1007/s00607-018-00692-2 (SCIE)
  • Rahmani Hosseinabadi, A.A., Vahidi, J., Saemi, B. & Sangaiah, A. K* (2018). Extended Genetic Algorithm for solving open- shop scheduling problem. Soft Computing. https://doi.org/10.1007/s00500-018-3177-y. (SCIE, IF= 1.791)
  • Sangaiah, A. K., Fakhry, A. E., Abdel-Basset, M., & El-henawy, I. (2018). Arabic text clustering using improved clustering  algorithms with dimensionality reduction. Cluster Computing, 1-15. https://doi.org/10.1007/s10586-018-2084-4. (SCIE, IF=  1.688)
  • Abdel-Basset, M., Abdle-Fatah, L., & Sangaiah, A. K. (2018). An improved Lvy based whale optimization algorithm for  bandwidth-e_cient virtual machine placement in cloud computing environment. Cluster Computing, 1-16.  https://doi.org/10.1007/s10586-018-1769-z. (SCIE, IF= 1.688)
  • Mohapatra, A. D., Sahoo, M. N., & Sangaiah, A. K. (2018). Distributed Fault Diagnosis with Dynamic Cluster-Head and  Energy E_cient Dissemination Model for Smart City. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2018.03.029.  (SCIE, IF= 1.411)
  • Zhang, J., Jin, X., Sun, J., Wang, J., & Sangaiah, A. K. (2018). Spatial and semantic convolutional features for robust visual  object tracking. Multimedia Tools and Applications, 1-21. https://doi.org/10.1007/s11042-018-6562-8 (SCIE, IF= 1.402)
  • Sodhro, A. H., Sangaiah, A. K., Pirphulal, S., Sekhari, A., & Ouzrout, Y. (2018). Green media-aware medical IoT system.  Multimedia Tools and Applications, 1-20. https://doi.org/10.1007/s11042-018-5634-0. (SCIE, IF= 1.402)
  • Singh, N. K., Tomar, D. S., & Sangaiah, A. K. (2018). Sentiment analysis: a review and comparative analysis over social  media. Journal of Ambient Intelligence and Humanized Computing, 1-21.https://doi.org/10.1007/s12652-018-0862-8. (SCIE,  IF= 1.212)
  • Sahu, B., Sa, P. K., Bakshi, S., & Sangaiah, A. K. (2018). Reducing dense local feature key-points for faster iris recognition.  Computers & Electrical Engineering. https://doi.org/10.1016/j.compeleceng.2017.12.048. (SCIE, IF= 1.157)
  • Tirkolaee, E. B., Alinaghian, M., Hosseinabadi, A. A. R., Sasi, M. B., & Sangaiah, A. K. (2018). An improved ant colony  optimization for the multi-trip Capacitated Arc Routing Problem. Computers & Electrical Engineering.  https://doi.org/10.1016/j.compeleceng.2018.01.040. (SCIE, IF= 1.157)
  • Martinelli, F., Mercaldo, F., Orlando, A., Nardone, V., Santone, A., & Sangaiah, A. K. (2018). Human behavior characterization  for driving style recognition in vehicle system. Computers & Electrical Engineering.  https://doi.org/10.1016/j.compeleceng.2017.12.050. (SCIE, IF= 1.157)
  • Pirbhulal, S., Shang, P.,Wu, W., Sangaiah, A. K., Samuel, O. W., & Li, G. (2018). Fuzzy vault-based biometric security method  for tele-health monitoring systems. Computers & Electrical Engineering, 71, 546-557. (SCIE, IF= 1.157)
  • Adewole, K. S., Han, T., Wu, W., Song, H., & Sangaiah, A. K. (2018). Twitter spam account detection based on clustering and  classification methods. The Journal of Supercomputing, 1-36. https://doi.org/10.1007/s11227-018-2641-x. (SCIE, IF= 1.091)
  • Kansal, S., Kumar, H., Kaushal, S., & Sangaiah, A. K. (2018). Genetic algorithm-based cost minimization pricing model for on- demand IaaS cloud service. The Journal of Supercomputing, 1-26. https://doi.org/10.1007/s11227-018-2279-8. (SCIE, IF=  1.091)
  • Sagar, K., Gupta, D., & Sangaiah, A. K. Manual versus automated qualitative usability assessment of interactive systems.  Concurrency and Computation: Practice and Experience, e5091. https://doi.org/10.1002/cpe.5091. (SCIE, IF= 1.024)
  • Kumar, N., Tiwari, S., Zheng, Z., Mishra, K. K., & Sangaiah, A. K. An efficient and provably secure time‐limited key  management scheme for outsourced data. Concurrency and Computation: Practice and Experience, e4498. (SCIE, IF=  1.024)
  • Wang, X. A., Liu, Y., Sangaiah, A. K., & Zhang, J. (2018). Improved publicly verifiable group sum evaluation over outsourced  data streams in IoT setting. Computing, 1-18. https://doi.org/10.1007/s00607-018-0641-6 (SCIE, IF=  1.018)
  • Abdel-Basset, M., Fakhry, A. E., El-henawy, I., Qiu, T., & Sangaiah, A. K. (2017). Feature and Intensity Based Medical Image  Registration Using Particle Swarm Optimization. Journal of Medical Systems, 41(12), 197. (SCIE, IF= 2.335)
  • Sangaiah, A. K., Gopal, J., Basu, A., & Subramaniam, P. R. (2017). Sangaiah, A. K., Gopal, J., Basu, A., & Subramaniam, P.  R. (2017). An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness  with reference to GSD project outcome. Neural Computing and Applications, 28(1), 111-123. https://doi.org/10.1007/s00521- 015-2040-7. (SCI, IF=1.855)
  • Abdel-Basset, M., Mohamed, M., Hussien, A. N., & Sangaiah, A. K. (2017). A novel group decision-making model based on  triangular neutrosophic numbers. Soft Computing, 1-15. https://doi.org/10.1007/s00500-017-2758-5. (SCIE, IF= 1.791)
  • Abdel-Basset, M., El-Shahat, D., El-Henawy, I., & Sangaiah, A. K. (2017). A modified flower pollination algorithm for the  multidimensional knapsack problem: human-centric decision making. Soft Computing, 1-19. https://doi.org/10.1007/s00500- 017-2744-y. (SCIE, IF= 1.791)
  • Kumar, S., Datta, D., Singh, S. K., & Sangaiah, A. K. (2017). An intelligent decision computing paradigm for crowd monitoring  in the smart city. Journal of Parallel and Distributed Computing, Elsevier Publishers,  http://dx.doi.org/10.1016/j.jpdc.2017.03.002. (SCIE, IF= 1.476)
  • Abdel-Basset, M., El-Shahat, D., & Sangaiah, A. K. (2017). A modified nature inspired meta-heuristic whale optimization  algorithm for solving 0–1 knapsack problem. International Journal of Machine Learning and Cybernetics, 1-20.  https://doi.org/10.1007/s13042-017-0731-3. (SCIE, IF=1.405)
  • Adewole, K. S., Anuar, N. B., Kamsin, A., & Sangaiah, A. K. (2017). SMSAD: a framework for spam message and spam  account detection. Multimedia Tools and Applications, 1-36. https://doi.org/10.1007/s11042-017-5018-x. (SCIE, IF= 1.402)
  • Abdel-Basset, M., Wang, G. G., Sangaiah, A. K., & Rushdy, E. (2017). Krill herd algorithm based on cuckoo search for solving  engineering optimization problems. Multimedia Tools and Applications, 1-24. https://doi.org/10.1007/s11042-017-4803-x.  (SCIE, IF= 1.402)
  • Hashem, I. A. T., Anuar, N. B., Marjani, M., Gani, A., Sangaiah, A. K., & Sakariyah, A. K. (2017). Multi-objective scheduling of  MapReduce jobs in big data processing. Multimedia Tools and Applications, 1-16. https://doi.org/10.1007/s11042-017-4685-y.  (SCIE, IF= 1.402)
  • Kaur, G., Kaur, J., Aggarwal, S., Singla, C., Mahajan, N., Kaushal, S., & Sangaiah, A. K. (2017). An optimized hardware  calibration technique for transmission of real-time applications in VoIP network. Multimedia Tools and Applications, 1-34.  https://doi.org/10.1007/s11042-017-5203-y. (SCIE, IF= 1.402)
  • Firdaus, A., Anuar, N. B., Ab Razak, M. F., & Sangaiah, A. K. (2017). Bio-inspired computational paradigm for feature  investigation and malware detection: interactive analytics. Multimedia Tools and Applications, 1-37.  https://doi.org/10.1007/s11042-017-4586-0. (SCIE, IF= 1.402)
  • Chaudhary, M., Kumar, H., Kaushal, S., & Sangaiah, A. K. (2017). The case analysis on sentiment based ranking of nodes in  social media space. Multimedia Tools and Applications, 1-20. https://doi.org/10.1007/s11042-017-4700-3. (SCIE, IF= 1.402)
  • Rathore, S., Sangaiah, A. K., & Park, J. H. (2017). A Novel Framework for Internet of Knowledge Protection in Social  Networking Services. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2017.12.010. (SCIE, IF= 1.352)
  • Abdel-Basset, M., Mohamed, M., & Sangaiah, A. K. (2017). Neutrosophic AHP-Delphi Group decision making model based on  trapezoidal neutrosophic numbers. Journal of Ambient Intelligence and Humanized Computing, 1-17.  https://doi.org/10.1007/s12652-017-0548-7. (SCIE, IF= 1.212)
  • Sangaiah, A. K., Samuel, O. W., Li, X., Abdel-Basset, M., & Wang, H. (2017). Towards an efficient risk assessment in software  projects–Fuzzy reinforcement paradigm. Computers & Electrical Engineering, Elsevier Publishers.  https://doi.org/10.1016/j.compeleceng.2017.07.022. (SCIE, IF= 1.157)
  • Samuel, O. W., Asogbon, G. M., Sangaiah, A. K., & Li, G. (2017). Multi-technique object tracking approach-A reinforcement  paradigm. Computers & Electrical Engineering, Elsevier Publishers, http://dx.doi.org/10.1016/j.compeleceng.2017.02.002.  (SCIE, IF= 1.157)
  • Vrablecov, P., Ezzeddine, A. B., Rozinajov, V., rik, S., & Sangaiah, A. K. (2017). Smart grid load forecasting using online  support vector regression. Computers & Electrical Engineering, Elsevier Publishers.  https://doi.org/10.1016/j.compeleceng.2017.07.006. (SCIE, IF= 1.157)
  • Srikanth, K., Panwar, L. K., Panigrahi, B. K., Herrera-Viedma, E., Sangaiah, A. K., & Wang, G. G. (2017). Meta-heuristic  framework: Quantum inspired binary grey wolf optimizer for unit commitment problem. Computers & Electrical Engineering,  Elsevier Publishers, https://doi.org/10.1016/j.compeleceng.2017.07.023. (SCIE, IF= 1.157)
  • Medhane, D. V., & Sangaiah, A. K. (2017). Search space-based multi-objective optimization evolutionary algorithm.  Computers & Electrical Engineering, Elsevier Publishers , 58, 126-143. (SCIE, IF= 1.157)
  • Abdel-Basset, M., Shawky, L. A., & Sangaiah, A. K. (2017). A comparative study of cuckoo search and ower pollination  algorithm on solving global optimization problems. Library Hi Tech, Emerald Publishers, https://doi.org/10.1108/LHT-04-2017- 0077. (SCIE, IF=1.014)
  • Rostami, A. S., Badkoobe, M., Mohanna, F., Hosseinabadi, A. A. R., & Sangaiah, A. K. (2017). Survey on clustering in  heterogeneous and homogeneous wireless sensor networks. The Journal of Supercomputing, 1-47.  https://doi.org/10.1007/s11227-017-2128-1. (SCIE, IF= 1.091)
  • Jerline Sheebha Anni DHANARAJ, Sangaiah, A. K* , (2017). A Wireless Sensor Network Based on Unmanned Boundary  Sensing Technique for Minimizing Human Elephant Conicts, Studies in Informatics and Control, vol. 26(4), pp. 459-468,  (SCIE, IF= 0.804)
  • Kumar, S., Singh, S. K., Abidi, A. I., Datta, D., & Sangaiah, A. K. (2017). Group Sparse Representation Approach for  Recognition of Cattle on Muzzle Point Images. International Journal of Parallel Programming, 1-26.  https://doi.org/10.1007/s10766-017-0550-x. (SCIE, IF= 0.776)
  • Kaur, P. J., Kaushal, S., Sangaiah, A. K., & Piccialli, F. (2017). A Framework for Assessing Reusability Using Package  Cohesion Measure in Aspect Oriented Systems. International Journal of Parallel Programming, 1-22.  https://doi.org/10.1007/s10766-017-0501-6. (SCIE, IF= 0.776)
  • Sangaiah, A. K., Nedjah, N., & Zhang, Z. (2017). Introduction to the special section on Recent Trends in Embedded  Technologies and Wearable Systems: Computational Intelligence Solutions. Computer and Electrical Engineering, Elsevier  Publishers. https://doi.org/10.1016/j.compeleceng.2017.07.012. (SCIE, IF=0.404)
  • Arun Kumar Sangaiah*, Marimuthu Karuppiah, and Xiong Li, Wireless and Mobile Networks: Security and Privacy Issues,  Journal of Electrical and Computer Engineering, vol. 2017, Article ID 5174073, 2 pages, 2017. doi:10.1155/2017/5174073.  (SCIE).
  • Nalinipriya, G., Maheswari, K. G., Balusamy, B., Kotteswari, K., & Sangaiah, A. K. (2017). Availability modeling for multi-tier  cloud environment. Intelligent Automation & Soft Computing, 23(3), 485-492. (SCIE)
  • Balakrishnan, S.M. & Sangaiah, A.K*. (2016). Integrated QoUE and QoS approach for optimal service composition selection  in internet of services, Multimedia Tools and Applications, Springer Publishers. doi:10.1007/s11042-016-3837-9. (SCIE, IF=  1.402)
  • Kaur, S., Singh, S., Kaushal, S., & Sangaiah, A. K. (2016). Comparative Analysis of Quality Metrics for Community Detection  in Social Networks Using Genetic Algorithm. Neural Network World, 26(6), 625. (SCIE, IF=0.478)
  • Kaur, S., Singh, S., Kaushal, S., & Sangaiah, A. K. (2016). Comparative Analysis of Quality Metrics for Community Detection  in Social Networks Using Genetic Algorithm. Neural Network World, 26(6), 625. (SCIE, IF=0.478)
  • Sangaiah, A. K., Subramaniam, P. R., & Zheng, X. (2015). A combined fuzzy DEMATEL and fuzzy TOPSIS approach for  evaluating GSD project outcome factors. Neural Computing and Applications, Springer Publishers, Article in Press,  DOI:10.1007/s00521-014-1771-1. (SCI, IF=1.855)
  • Gopal, J., Sangaiah, A.K*., Basu, A., Gao, X.Z. (2015) Integration of fuzzy DEMATEL and FMCDM approach for evaluating  knowledge transfer effectiveness with reference to GSD project outcome. Article in Press, International Journal of Machine  Learning and Cybernetics, Springer Publishers, Article in Press, Doi:10.1007/s13042-015-0370-5. (SCIE, IF=1.405)
  • Sangaiah, A. K., Gao, X. Z., Ramachandran, M., & Zheng, X. (2015). A fuzzy DEMATEL approach based on intuitionistic fuzzy  information for evaluating knowledge transfer effectiveness in GSD projects. International Journal of Innovative Computing  and Applications, 6(3-4), 203-215. IF: 0.291, Q3, Category: Hardware and Architecture/ Software/Theoretical Computer  Science. (IF: 0.291)
  • Sangaiah, A. K., Gao, X. Z., & Abraham, A. (2015). Exploring the antecedents of social network usage on academic  performance A combined GP-TOPSIS approach. Jurnal Teknologi, 78(1). (SCIE)
  • Anni, D. J. S., & Sangaiah, A. K. (2015). Elephant Tracking with Seismic Sensors: A Technical Perceptive Review. Jurnal of  Teknologi, 74(1), 193-203. (SCIE)