桑亞倫/ Arun Kumar Sangaiah

特聘教授/ Distinguished Professor 、玉山青年學者/ Yushan Young Scholar

Curriculum Vitae of Professor (Dr.) Arun Kumar Sangaiah 桑亞倫

WORK ADDRESS

Dr. Arun Kumar Sangaiah 桑亞倫

Distinguished Professor and Yushan Young Scholar 玉山青年學者

International Graduate School of Artificial of Intelligence (IAI)

National Yunlin University of Science and Technology (YunTech), Yunlin 640301, Taiwan Email: arunks@yuntech.edu.tw, aksangaiah@ieee.org

Scopus Orcid: http://orcid.org/0000-0002-0229-2460

ACADEMIC EDUCATION

　•　VIT University, Vellore, India

　　  Ph.D. in Computer Science and Engineering, (2014)

　•　Anna University, Chennai, India

　　  M.E- Master of Engineering in Computer Science, (2007)

　•　Periyar University, Salem, India

　　  M.Phil- Master of Philosophy in Computer Science, (2005)

RESEARCH INTERESTS (See https://iai.yuntech.edu.tw/)

　•　Artificial Intelligence (AI)

　•　Internet of Things (IoT)

　•　Sustainable Computing

EXPERIENCES

Academic Employment: 20 Years

　•　July 2022 to Present

• Distinguished Professor/Yushan Young Scholar, International Graduate School of Artificial of Intelligence, National Yunlin University of Science and Technology, Taiwan 

　•　June 2007- June 2022

• Professor/Associate Professor/Assistant Professor, School of Computing Science and Engineering, VIT University, Vellore, India. 

　•　June 2004– May 2007

• Lecturer, Department of Computer Applications, Mahendra Engineering College, Periyar University, Salem, India.

HONORS/RECOGNITIONS

　•　Yushan Young Scholar Award(2019), Ministry of Education (MOE), Taiwan 

　•　Top 1% Scientist Award- Highly Cited Researcher (2023), Clarivate, WoS 

　•　Top 1% Scientist Award- Highly Cited Researcher (2022), Clarivate, WoS 1 

　•　Top 1% Scientist Award- Highly Cited Researcher (2021), Clarivate, WoS 

　•　Top 2% Scientist Award- Standford Report (2018-2023) 

　•　Distinguished Professor Award- MOE, YunTech (2023-2026) 

　•　PIFI Visiting Fellow Award: Got Fellowship from Chinese Academy of Sciences (CAS)President’s International Fellowship Initiative (PIFI) as Visiting Scientist in 2019. 

　•　Overseas Famous Teacher Award: Gotthis reward from Hunan Province Educational Department, China. 

　•　India Top 10 Award: Wasawardedwiththemostoutstanding faculty award (Research) by Careers360 in 2018. 

　•　Best Survey Paper Award: Got best paper award from JIPS, Korean Information Processing Society, Korea. 

　•　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, VIT University, India in 2015. 

　•　Active Participation Award- Was awarded the outstanding professional society award (Research) by the Computer Society of India (CSI), India in 2015.

RESEARCH GRANTS (2022 ˜ 2027)

STUDENT SUPERVISION 

　•　Ph.D students awarded: 05 

　•　Ph.D students on-going: 06 

　•　Master’s students awarded: 04 

　•　Master’s students ongoing: 12

PUBLICATIONS

Google Scholar H-Index: 91, Citation:26000+ 

WoS H-Index: 68, Citation:14000

LIST OF SCI JOURNAL PUBLICATIONS

(Refereed Journal Papers: *indicates Corresponding Author)

1. A. K. Sangaiah,Jayakrishnan Anandakrishnan, Aniruth Reddy Devarapelly, Muhammad Luqman Arif Bin Mohamad, Gui-Bin Bian (2024, Aug). R-UAV-Net: Enhanced YOLOv4 With Graph-Semantic Compression for Transformative UAV Sensing in Paddy Agronomy. IEEE Transactions on Cognitive Communications and Networking , DOI: 10.1109/TCCN.2024.3452053. 本人為第一作者 .
2. Chao Zhang, Haonan Hou, A. K. Sangaiah*, Deyu Li, Wentao Li (2024, Aug). Enhancing High Temperature Prediction via Six-Fold Strategy ConsensusReaching Processes: A Case Study using FY-3E Spatio-Temporal Remote Sensing Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10.1109/JSTARS.2024.3447353.本人為通訊作者. 
3. A. K. Sangaiah, Fan-Nong Yu, Yi-Bing Lin, Wan-Chi Shen, Akashdeep Sharma (2024, Jan). UAV T-YOLO-Rice: An Enhanced Tiny Yolo Networks for Rice Leaves Diseases Detection in Paddy Agronomy. IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2024.3350640. 
4. A. K. Sangaiah, A. Javadpour, F. Ja’fari, P. Pinto and H.-M. Chuang (2023, May). Privacy-Aware and AI Techniques for Healthcare Based on K-Anonymity Model in Internet of Things. IEEE Transactions on Engineering Management, 10.1109/TEM.2023.3271591. 本人為第一作者、通訊作者 . 
5. A. K. Sangaiah, Amir Javadpour, Forough Ja’fari, Hadi Zavieh, Shadi Mahmoodi Khaniabadi (2023, Feb). SALA-IoT: Self-Reduced Internet of Things with Learning Automaton Sleep Scheduling Algorithm. IEEE SENSORS JOURNAL, 10.1109/JSEN.2023.3242759. 本人為第一作者 . 
6. A. K. Sangaiah, A. Javadpour, F. Ja’fari, W. Zhang and S. M. Khaniabadi (2022, Dec). Hierarchical Clustering Based on Dendrogram in Sustainable Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3222789.本人為第一作者 . 
7. G. Jain, T. Mahara, S. C. Sharma and A. K. Sangaiah* (2022, Sep). A Cognitive Similarity-Based Measure to Enhance the Performance of Collaborative Filtering-Based Recommendation System. IEEE Transactions on Computational Social Systems. (SCI, Computer Science).本人為通訊作者 . 
8. A. K. Sangaiah, Javadpour, A., Pinto, P., Ja’fari, F., Zhang, W. (2022, May). Improving Quality of Service in 5G Resilient Communication with the Cellular Structure of Smartphones. ACM Transactions on Sensor Networks, 18(3), 43. (SCIE, 108/263, Computer Science).本人為第一作者 . 
9. A. K. Sangaiah, Ramamoorthi, J. S., Rodrigues, J. J., Rahman, M. A., Muhammad, G., Alrashoud, M. (2021, Aug). LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicleto-Vehicle Communication. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 22(8), 5319-5328. (SCI, Computer Science).本人為第一作者 
10. A. K. Sangaiah, Rostami, A. S., Hosseinabadi, A. A. R., Shareh, M. B., Javadpour, A., Bargh, S. H., & Hassan, M. M. (2021). Energy-aware Geographic Routing for Real Time Workforce Monitoring in Industrial Informatics. IEEE Internet of Things Journal. doi: 10.1109/JIOT.2021.3056419. (SCI, IF-9.515) 
11. T. Wang, H. Luo, X. Zeng, Z. Yu, A. Liu and A. K. Sangaiah*, ”Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.2997377. (SCI, IF-6.319) 
12. Medhane, D. V., A. K. Sangaiah*., Hossain, M. S., Muhammad, G., Wang, J. (2020, Jul). Blockchain-Enabled Distributed Security Framework for NextGeneration IoT: An Edge Cloud and Software-Defined Network-Integrated Approach. IEEE INTERNET OF THINGS JOURNAL, 7(7), 6143-6149. (SCI, Computer Science). 本人為通訊作者. 
13. A. K. Sangaiah, Goli, A., Tirkolaee, E. B., Ranjbar-Bourani, M., Pandey, H. M., Zhang, W. (2020, May). Big Data-Driven Cognitive Computing System for Optimization of Social Media Analytics.IEEE Access, 8, pp. 82215-82226. (SCI, Computer Science). 本人為第一作者 
14. A. K. Sangaiah, Medhane, D. V., Bian, G. B., Ghoneim, A., Alrashoud, M., Hossain, M. S. (2020, May). Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System. IEEE Transactions on Industrial Informatics, 16(5), 3322-3329.. (SCI, Computer Science). 本人為第一作者. 
15. Wang, T., Qiu, L., A. K. Sangaiah*., Liu, A., Bhuiyan, M. Z. A., Ma, Y. (2020, May). Edge-Computing-Based Trustworthy Data Collection Model in the Internet of Things. IEEE INTERNET OF THINGS JOURNAL, 7(5), 4218-4227. (SCI, Computer Science). 本人為通訊作者. 
16. A. K. Sangaiah, Arumugam, M., Bian, G. B. (2020, Mar). An intelligent learning approach for improving ECG signal classification and arrhythmia analysis.Artificial Intelligence In Medicine, Elsevier, 103, 101788. (SCI, Computer Science). 本人為 第一作者.
17. A. K. Sangaiah, Dhanaraj, J. S. A., Mohandas, P., Castiglione, A (2020, Mar). Cognitive IoT system with intelligence techniques in sustainable computing environment. Computer Communications, 154, 347-360. (SCI, Computer Science). 本人為第一作者. 
18. Wang, T., Ke, H., Zheng, X., Wang, K., A. K. Sangaiah*., Liu, A. (2020, Feb). Big Data Cleaning Based on Mobile Edge Computing in Industrial SensorCloud. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 16(2), 1321- 1329.. (SCI, Computer Science). 本人為通訊作者
19. A. K. Sangaiah, Hosseinabadi, A. A. R., Shareh, M. B., Bozorgi Rad, S. Y., Zolfagharian, A., Chilamkurti, N. (2020, Jan). IoT Resource Allocation and Optimization Based on Heuristic Algorithm. Sensors, 20(2), 539. (SCIE, Computer Science). 本人為第一作者. 
20. Xu, G., Zhou, W., A. K. Sangaiah, Zhang, Y., Zheng, X., Tang, Q., & Zhou, X. (2020). A Security-Enhanced Certificateless Aggregate Signature Authentication Protocol for InVANETs. IEEE Network, 34(2), 22-29. 6 
21. Zhang, H., Li, Y., Lv, Z., A. K. Sangaiah*., & Huang, T. (2020). A real-time and ubiquitous network attack detection based on deep belief network and support vector machine.IEEE/CAA Journal of Automatica Sinica. 
22. D. V. Medhane, A. K. Sangaiah*, M. S. Hossain, G. Muhammad and J. Wang, (2020) ”Blockchain-enabled Distributed Security Framework for Next Generation IoT: An Edge Cloud and Software Defined Network Integrated Approach,” IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2020.2977196. (SCI, IF= 9.515) 
23. Wang, T., Qiu, L., A. K. Sangaiah*, Liu, A., Bhuiyan, M. Z. A., & Ma, Y. (2020). Edge computing based trustworthy data collection model in the Internet of Things.IEEE Internet of Things Journal. (SCI, IF= 9.515) 
24. Sodhro, A. H., Zongwei, L., Pirbhulal, S., A. K. Sangaiah, Lohano, S., & Sodhro, G. H. (2020). Power-Management Strategies for Medical Information Transmission in Wireless Body Sensor Networks.IEEE Consumer Electronics Magazine, 9(2), 47-51. 
25. A. K. Sangaiah, Hosseinabadi, A. A. R., Sadeghilalimi, M., & Zhang, W. (2019). Energy Consumption in Point-Coverage Wireless Sensor Networks via Bat Algorithm. IEEE Access. DOI: 10.1109/ACCESS.2019.2952644 ((SCI, IF=4.098) 
26. A. K. Sangaiah, Lu, H., & Hu, Q. (2019). Cognitive Science and Artificial Intelligence for Human Cognition and Communication. IEEE Consumer Electronics Magazine, 9(1), 72-73.(SCI, IF=3.273) 
27. A. K. Sangaiah, Medhane, D. V., Bian, G. B., Ghoneim, A., Alrashoud, M., & Hossain, M. S. (2019). Energy-Aware Green Adversary Model for Cyber Physical Security in Industrial System.IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2019.2953289 (SCI, IF= 6.764) 
28. A. K. Sangaiah, Medhane, D. V., Han, T., Hossain, M. S., Muhammad, G. (2019, Jul). Enforcing Position-Based Confidentiality With Machine Learning Paradigm Through Mobile Edge Computing in Real-Time Industrial Informatics. IEEE Transactions on Industrial Informatics, 15(7), 4189-4196.. (SCI, Computer Science). 本人為第一作者. 
29. A. K. Sangaiah, Medhane, D. V., Han, T., Hossain, M. S., & Muhammad, G. (2019). Enforcing Position-Based Confidentiality 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) 
30. Li, G., Xu, G., A. K. Sangaiah, Wu, J., & Li, J. (2019). EdgeLaaS: Edge learning as a service for knowledge-centric connected healthcare. IEEE Network, 33(6), 37-43. (SCI, IF=7.503)
31. Udmale, S. S., Singh, S. K., Singh, R., & A. K. Sangaiah (2019). Multi-fault bearing classification using sensors and ConvNet-based transfer learning approach.IEEE Sensors Journal. DOI: 10.1109/JSEN.2019.2947026 (SCI, IF=3.706) 
32. Wang, T., Qiu, L., Xu, G., A. K. Sangaiah*., & Liu, A. (2019). Energy-efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things.IEEE Transactions on Industrial 10.1109/TII.2019.2920277. (SCI, IF= 6.764) Informatics. DOI: 7 
33. Wang, T., Ke, H., Zheng, X., Wang, K., A. K. Sangaiah*., & 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) 
34. Pirbhulal, S., Wu, W., Li, G., & A. K. Sangaiah (2019). Medical Information Security for Wearable Body Sensor Networks in Smart Healthcare. IEEE Consumer Electronics Magazine, 8(5), 37-41. (SCIE) 
35. Qiu, T., Wang, H., Li, K., Ning, H., A. K. Sangaiah, & Chen, B. (2018). SIGMM: A Novel Machine Learning Algorithm for Spammer Identification in Industrial Mobile Cloud Computing. IEEE Transactions on Industrial Informatics. 10.1109/TII.2018.2799907. (SCI, IF= 6.764) 
36. Lv, N., Chen, C., Qiu, T., & A. K. Sangaiah (2018). Deep Learning and Superpixel Feature Extraction based on Sparse Autoencoder for Change Detection in SAR Images.IEEE Transactions on Industrial 10.1109/TII.2018.2873492. (SCI, IF= 6.764) Informatics. DOI: 
37. Wu, W., Pirbhulal, S., A. K. Sangaiah*., Mukhopadhyay, S. C., Li, G. (2018, Sep). Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications. Future generation computer systems, 86, 515-526. (SCI, Computer Science). 
38. Goyal, R. K., Kaushal, S., A. K. Sangaiah* (2018, Jun). The utility based nonlinear fuzzy AHP optimization model for network selection in heterogeneous wireless networks.Applied Soft Computing, 67, 800-811. (SCI, Computer Science). 本人為通訊作者. 
39. Medhane, D. V., A. K. Sangaiah*. (2018, Jun). PCCA: Position Confidentiality Conserving Algorithm for Content-Protection in e-Governance Services and Applications.IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2(3), 194-203. (SCI, Computer Science). 本人為通訊作者
40. Qiu, T., Liu, X., Li, K., Hu, Q., A. K. Sangaiah*., & 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)
41. Zheng, Z., A. K. Sangaiah*., & Wang, T. (2018). Adaptive Communication Protocols in Flying Ad Hoc Network. IEEE Communications Magazine, 56(1), 136-142. (SCI, IF= 10.435) 
42. Zhang, J., Qu, X., & A. K. Sangaiah*. (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) 
43. Wen, J., Ren, C., & A. K. Sangaiah (2018). Energy-Efficient Device-to-Device Edge Computing Network: An Approach Offloading Both Traffic and Computation. IEEE Communications Magazine, 56(9), 96-102. (SCI, IF= 10.435) 
44. Medhane, D. V., & A. K. Sangaiah*. (2018). 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. 8 
45. Qiu, T., Chen, B., A. K. Sangaiah, Ma, J., & Huang, R. (2017). A Survey of Mobile Social Networks: Applications, Social Characteristics, and Challenges. IEEE Systems Journal. (SCI, IF=4.337)
46. Qiu, T., Zhang, Y., Qiao, D., Zhang, X., Wymore, M. L., & A. K. Sangaiah (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) 
47. Medhane, D. V., & A. K. Sangaiah*. (2017). ESCAPE: Effective 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.
48. Tie Qiu, Ruixuan Qiao, Min Han, A. K. 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) 
49. Ahmed, I., Ahmad, A., Piccialli, F., A. K. Sangaiah, & 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)
50. A. K. Sangaiah, Thangavelu, Arun Kumar (2013).Factors affecting the outcome of Global Software Development projects: An empirical study, International Conference on Computer Communication and Informatics (ICCCI), IEEE Explore, 1-10,doi: 10.1109/ICCCI.2013.6466113., Category: Computer Networks and Communications; Information Systems. (IF: 0.104)

PUBLISHED BOOKS 

1. Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Academic DOI:10.1016/C2016-0-03919-0. Press; 1st edition (August 21, 2018)
2. Intelligent Decision Support Systems for Sustainable Computing, Studies on Computational Intelligence series, Springer Publishers, DOI:10.1007/978-3-319-53153-3 
3. Cognitive Data Science Methods and Models over Internet of Things (IoT), Springer Publishers, DOI: 10.1007/978-3-319-70688-7
4. AI Models for Blockchain-Based Intelligent Networks in IoT Systems: Concepts, Methodologies, Tools, 10.1007/978-3-031-31952-5 and Applications, Springer Publishers, DOI: 
5. Cognitive Systems and Signal Processing in Image Processing, Academic Press; ISBN: 9780128244104 

CONFERENCE KEY NOTE TALKS/ACADEMIC EXCHANGES/GUEST LECTURES 

　•　Delivered Conference key note talk on Intelligent Decision Paradigms on Sustainable Computing– Research Trends, World IT congress, February 2018, Jeju, South Korea. 9 

　•　Delivered Conference key note talk on Sustainable Computing with Internet of Things-Research Opportunities, IEEE International Conference on Smart Internet of Things (IEEE SmartIoT 2018), August 2018, Xi’an, China. 

　•　Delivered Conference key note talk on Sustainable Software Paradigms with Intelligent Approaches (ISAIR 2018), November, Nanjing, China. 

　•　Visiting Professor at Southwest Jiaotong University, May-June 2018, Chengdu, China 

　•　Visiting Professor at Hwa Hsia University of Technology, April-May-June 2018, Taipei, Taiwan. 

　•　Visited and delivered guest talk on Cognitive Data Science Over Internet of Things Research Opportunities, Dongguan University of Technology, May 31, 2018, China. 

　•　Visited and delivered guest talk on Computational Sustainability with Internet of Things (IoT) in Health Care, Shenzhen University, May 30, 2018, China. 

　•　Visited and delivered guest talk on Computational Sustainability with Internet of Things (IoT) and Its Research Challenges, Changsha University of Science and technology, May 28, 2018, China. 

　•　Visited and delivered guest talk on Cognitive Data Science Research at Department of Information and Management, National Chin-Yi University of Technology University, May 17, 2018, Taiwan. 

　•　Visited and delivered guest talk on Computational Sustainability with IoT– Research Trends at Department of Electrical and Computer Engineering, National Ilan University, May 3, 2018, Taiwan. 

　•　Visited and delivered guest talk on Recent Trends and growth IT industry at Department of Information and Management, National United University, May 7, 2018, Taiwan. 

　•　Visited and delivered guest talk on E-Learning Tools in Learning Pedagogy at Department of Software Engineering, Panjab University, Jan 19-20, 2018, Chandigarh, India. 

　•　Visited and delivered guest talk on Machine Learning in decision support systems at Department of Software Engineering, Sasurie College Of Engineering Tirupur, Feb 1, 2018, Chandigarh, India. 

　•　Visiting Professor at Dalian Maritime University, May-June 2017, Dalian, China. 

　•　Visiting Faculty at Nanhai Dongruan Information Technology Institute (Neusoft), September 20– January 20, 2017, Guangzhou, China. 

PATENT: (Filed) 

1. Maheswari Arumugam and Sangaiah, A. K, “System and Method of Detection and Reporting of Cardiac Abnormalities through an Embedded System”, a patent (Provisional) filed at the Patent Office, Guindy, Chennai on December 5, 2014, Application Number: 6157/CHE/2014.

　I hereby state that the statements made above are true to the best of my knowledge and belief. For further information, please feel free to contact me.

[Dr. Arun Kumar Sangaiah]