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Director


Prasan Kumar Sahoo,

Professor

Senior Member, IEEE

Email: pksahoo@mail.cgu.edu.tw


Director's Biodata

Current Ph.D. Students

Current Students

Mekhla Sarkar

Year of joining : Sep, 2019
Research Area : Applications of AI: Deep Learning, Medical Imaging, Segmentation
Publications :
      A. Journal Articles
        B. Conference Papers

Current MS Students

Current Students

Lee Jun Yi (EN : Jory)

Year of joining : Sep, 2023
Research Area : Applications of AI: Deep Learning, Video Data Analysis, Object Detection, Object Recognition
Publications :
      A. Journal Articles
        B. Conference Papers

Current BS (Project) Students:

Current Students Current Students Current Students Current Students

Chen Yun-Sheng (EN: Kevin)

Chen Zhi-You (EN : Kent)

Chou Zhao-Teng (EN : Ernie)

Tsai Chia-Kai (EN : Kai)
Year of joining : 2021 Year of joining : 2021 Year of joining : 2021 Year of joining : 2021
Current Students Current Students Current Students Current Students

Chuang Hung-Te (EN: Daren)

Kuo Che Yu (EN: Tom)

Lin Pin Han (EN: Kevin)

Lin Zhe-You (EN: Joe)
Year of joining : 2021 Year of joining : 2021 Year of joining : 2021 Year of joining : 2021

Past Graduate Students: Ph.D.

Current Students

Suvendu Kumar Mohapatra

Thesis title : Processing and Analysis of Big Data in Healthcare for Designing Prediction Models
Publication :
      A. Journal Articles
  1.  Pushpanjali Gupta, Sum-Fu Chiang, Prasan Kumar Sahoo*, Suvendu Kumar Mohapatra, Jeng-Fu You*, Djeane Debora Onthoni, Hsin-Yuan Hung, Jy-Ming Chiang, Yenlin Huang, Wen-Sy Tsai, “Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach”, Cancers , Vol. 11, No. 12, pp. 2007, Dec, 2019. IF(2020): 6.639 , Rank (Oncology): 51/242 = Top 21.07% (Q1)
  2.  Prasan Kumar Sahoo, S. Mohapatra, S.-L. Wu, “SLA Based Healthcare Big Data Analysis and Computing in Cloud Network ”, Journal of Parallel and Distributed Computing, Vol. 119, pp. 121-135, Sep, 2018.  IF (2020): 3.734, Rank (COMPUTER SCIENCE, THEORY & METHODS): 19/110 = Top 17.27%(Q1).
  3.  S. K. Mohapatra, Prasan Kumar Sahoo*, S.-L. Wu, “Big data analytic architecture for intruder detection in heterogeneous wireless sensor networks ”, Journal of Network and Computer Applications  Vol. 66, pp. 236-249, Apr, 2016. IF (2020): 6.281 , Rank (Computer Science, Software Engineering): 6/108=Top 5.55% (Q1).
  4.  Prasan Kumar Sahoo*, Suvendu Kumar Mohapatra, Shih-Lin Wu, “ Analyzing Healthcare Big Data with Prediction for Future Health Condition ”, IEEE Access journal, Vol. 4, pp. 9786-9799, Jan 2017. IF (2020): 3.367, Rank (Engineering, Electrical, and Electronic): 94/273= Top 34.43%(Q2).
Year Graduated : July, 2017
Current Job : Technical Associate Manager, Foxconn Industrial Internet, Taiwan
Current Students

Hiren Kumar Bharatbhai Thakkar

Thesis title : Time-series Cardiac Data Analysis for Designing Early Warning System in Mobile Health
Publication :
      A. Journal Articles
  1.  H. K. Thakkar, Prasan Kumar Sahoo*, B. Veeravalli, “RENDA: Resource and Network-aware Data Placement Algorithm for Periodic Workloads in Cloud”,  IEEE Transactions on Parallel and Distributed Systems. Vol. 32, No. 12, pp. 2906-2920, Dec, 2021. IF (2020): 2.687, Rank (Computer Science, Theory & Methods): 30/110= Top 27.27% (Q2).
  2.  H. K. Thakkar, Prasan Kumar Sahoo*, Pranab Mohanty, “DOFM: Domain-Specific Feature Miner for Robust Extractive Summarization”,  Information Processing & Management, Vol. 58, No. 3, pp. 102474, May, 2021. IF(2020): 6.222, Rank (Information Science and Library Science): 10/86 = Top 11.63% (Q1)
  3.  H. K. Thakkar, C. K. Dehury, Prasan Kumar Sahoo*, “MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions”, IEEE Journal on Selected Areas in Communications, Vol. 38, No.6, pp. 1058-1074, Jun, 2020. IF(2020): 9.144 , Rank (Engineering, Electrical & Electronic): 16/273= Top 5.86%(Q1)
  4.   H. K. Thakkar, Prasan Kumar Sahoo*, “Towards Automatic and Fast Annotation of Seismocardiogram Signals using Machine Learning”,  IEEE Sensors Journal , Vol. 20, No. 5, pp. 2578-2589, Mar, 2020. IF(2020): 3.301, Rank (Instruments & Instrumentation): 20/64 = Top 31.25% (Q2)
  5.  Prasan Kumar Sahoo*, Hiren Kumar Thakkar, “ TLS: Traffic Load Based Scheduling Protocol for Wireless Sensor Networks ”, International Journal of Ad Hoc and Ubiquitous Computing,  Vol. 30, No. 3, pp. 150-160, Mar, 2019. IF (2020): 0.654, Rank (Telecommunications): 87/91= Top 95.60(Q4).
  6.  Prasan Kumar Sahoo, H. K. Thakkar, M.-Y. Lee,“ On the Design of an Efficient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signals ”, Sensors,  Vol. 18, Issue: 2, pp. 379, Jan, 2018.  IF (2020): 3.576, Rank (Instruments and instrumentation): 14/64 = Top 21.87%(Q1).
  7.  Prasan Kumar Sahoo, H. K. Thakkar, I.-S. Hwang, “ Pre-Scheduled and Self Organized Sleep-Scheduling Algorithms for Efficient K-Coverage in Wireless Sensor Networks ”, Sensors,  Vol. 17, Issue: 12, pp. 2945, Dec, 2017.  IF (2020): 3.576, Rank (Instruments and instrumentation): 14/64 = Top 21.87%(Q1).
  8.  Prasan Kumar Sahoo*, Hiren Kumar Thakkar, Ming-Yih Lee, “ A Cardiac Early Warning System With Multi Channel SCG and ECG Monitoring for Mobile Health ”, Sensors,  Vol. 17, Issue: 4, pp. 711, Mar 2017. IF (2020): 3.576, Rank (Instruments and instrumentation): 14/64= Top 21.87%(Q1).
      B. Conference Papers
  1.  Hiren Kumar Thakkar,Prasan Kumar Sahoo , "Progress Aware Speculative Execution Scheme for MapReduce in Hadoop", The 12th Workshop on Wireless, Ad Hoc and sensor Networks (WASN 2016), Nantou county, Taiwan, Aug, 2016.
Year Graduated : July, 2018
Current Job : Associate Professor, Marwadi University, India.
Current Students

Chinmaya Kumar Dehury

Thesis title : Scheduling and Resource Management Algorithms for Cloud Computing
Publications :
      A. Journal Articles
  1.  C. K. Dehury, Prasan Kumar Sahoo*, B. Veeravalli, “RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms”,  Accepted in IEEE Transactions on Cloud Computing, Nov, 2021. IF(2020): 5.938, Rank (Computer Science, Theory & Methods): 11/110 = Top 10% (Q1)
  2.  C. K. Dehury, Prasan Kumar Sahoo*, “Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks”, IEEE Transactions on Cloud Computing, Apr (Online), 2020. IF(2020): 5.938, Rank (Computer Science, Theory, Methods): 11/110 = Top 10% (Q1)
  3.  H. K. Thakkar, C. K. Dehury, Prasan Kumar Sahoo*, “MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions”, IEEE Journal on Selected Areas in Communications, Vol. 38, No.6, pp. 1058-1074, Jun, 2020. IF(2020): 9.144 , Rank (Engineering, Electrical & Electronic): 16/273= Top 5.86%(Q1)
  4.  C. K. Dehury, Prasan Kumar Sahoo*, “DYVINE: Fitness based Dynamic Virtual Network Embedding in Cloud Computing”,  IEEE Journal on Selected Areas in Communications, Vol. 37, Issue: 5, pp. 1029-1045, May, 2019. IF(2020): 9.144 , Rank (Engineering, Electrical & Electronic): 16/273 = Top 5.86%(Q1)
  5.  Prasan Kumar Sahoo, C. K. Dehury, B. Veeravalli, “ LVRM: On the Design of Efficient Link based Virtual Resource Management Algorithm for Cloud Platforms ”, IEEE Transactions On Parallel and Distributed Systems,  Vol. 29, Issue: 4, pp. 887-900, Apr, 2018.  IF (2020): 2.687, Rank (Computer Science, Theory & Methods): 30/110= Top 27.27%(Q2).
  6.  Prasan Kumar Sahoo, C. K. Dehury, “ Efficient Data and CPU-intensive Job Scheduling Algorithms for Healthcare Cloud ”, Computers & Electrical Engineering , Vol. 68, pp. 119-139, Apr, 2018.,  IF (2020): 3.818, Rank (Computer Science, Hardware & Architecture): 14/53 = Top 26.42%(Q2).
  7.  C. K. Dehury, Prasan Kumar Sahoo*, “ Design and implementation of a novel service management framework for IoT devices in cloud ”, Journal of Systems and Software  Vol. 119, pp. 149-161, Jul, 2016. IF (2020): 2.829, Rank (Computer Science, Theory, and Methods): 27/110= Top 24.54% (Q1).
      B. Conference Papers
  1. Pushpanjali Gupta, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, “Scheduling IoT Data of Smart Communities in Cloud”, The 12th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2016), Aug,2016, Taiwan
Year Graduated : Jan, 2019
Current Job : Lecturer in the Institute of Computer Science, University of Tartu, Estonia
Current Students

Gone Neelakantam

Thesis title : Reinforcement Learning Assisted Intelligent Decision Making Models for Smart City Applications
Publications :
      A. Journal Articles
  1.  Gone Neelakantam, Djeane Debora Onthoni, Prasan Kumar Sahoo*, “Fog Computing Enabled Locality Based Product Demand Prediction and Decision Making using Reinforcement Learning”,  Electronics, Vol. 10, No. 3, pp. 227, Jan, 2021. IF(2020): 2.397, Rank (Engineering, Electrical & Electronic): 145/273 = Top 53.11% (Q3)
  2.  Gone Neelakantam, Djeane Debora Onthoni, Prasan Kumar Sahoo*, “Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City”,  Electronics, Vol. 9, No. 9, pp. 1501, Sept, 2020. IF(2020): 2.397, Rank (Engineering, Electrical & Electronic): 145/273 = Top 53.11% (Q3)
Year Graduated : June, 2021
Current Job : Postdoctoral Researcher: Mahindra University, Hyderabad, India
Current Students

Djeane Debora Onthoni

Thesis title : Computer Vision Tasks for Analyzing Non-Contrast and Contrast CT Images of ADPKD Patients with Deep Learning Approach
Publications :
      A. Journal Articles
  1.  D. D. Onthoni, Prasan Kumar Sahoo*,M. Atiquzzaman, “ASAA: Multi-Hop and Multi-User Channel Hopping Protocols for Cognitive Radio Enabled Internet of Things”,  IEEE Internet of Things Journal (Accepted). Dec, 2022. IF (2021): 10.238, Rank (Computer Science, Information Systems): 9/164 = Top 5.49% (Q1)
  2.  D. D. Onthoni, Prasan Kumar Sahoo*, “Artificial-Intelligence-Assisted Activities of Daily Living Recognition for Elderly in Smart Home”,  Electronics. 11, no. 24: 4129, pp: 1-15, Dec, 2022. IF (2021): 2.69, Rank (Physics, Applied): 82/161 = Top 50.93% (Q3)
  3.  Y.-C. Liu, D. D. Onthoni, S. Mohapatra, D. Irianti,Prasan Kumar Sahoo*, “Deep Learning Assisted Multi-Dishes Food Recognition Application for Dietary Intake Reporting”,  Electronics. May, 2022. IF (2021): 2.69, Rank (Physics, Applied): 82/161 = Top 50.93% (Q3)
  4.  P. Gupta, Y.-L. Huang, Prasan Kumar Sahoo*, J.-F. You, S.-F. Chiang, D. D. Onthoni, Y.-J. Chern, K.-Y. Chao, J.-M. Chiang, C.-y. Yeh, W.-S. Tsai, “Colon Tissues Classification and Localization in Whole Slide Images using Deep Learning”,  Diagnostics. Vol. 11, No. 8, pp. 1398, July, 2021. IF (2020): 3.706, Rank (Medicine, General & Internal): 45/169 = Top 26.62% (Q2).
  5.  Gone Neelakantam, Djeane Debora Onthoni, Prasan Kumar Sahoo*, “Fog Computing Enabled Locality Based Product Demand Prediction and Decision Making using Reinforcement Learning”,  Electronics, Vol. 10, No. 3, pp. 227, Jan, 2021. IF(2020): 2.397, Rank (Engineering, Electrical & Electronic): 145/273 = Top 53.11% (Q3)
  6.  Djeane Debora Onthoni, Ting-Wen Sheng, Prasan Kumar Sahoo*, Li-Jen Wang*, Pushpanjali Gupta, “Deep Learning Assisted Localization of Polycystic Kidney on Contrast-enhanced CT Images”,  Diagnostics, Vol. 10, No. 13, pp. 1113, Dec, 2020. IF(2020): 3.706, Rank (Medicine, General & Internal): 45/169 = Top 26.62% (Q2)
  7.  Gone Neelakantam, Djeane Debora Onthoni, Prasan Kumar Sahoo*, “Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City”,  Electronics, Vol. 9, No. 9, pp. 1501, Sept, 2020. IF(2020): 2.397, Rank (Engineering, Electrical & Electronic): 145/273 = Top 53.11% (Q3)
  8.  Pushpanjali Gupta, Sum-Fu Chiang, Prasan Kumar Sahoo*, Suvendu Kumar Mohapatra, Jeng-Fu You*, Djeane Debora Onthoni, Hsin-Yuan Hung, Jy-Ming Chiang, Yenlin Huang, Wen-Sy Tsai, “Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach”, Cancers , Vol. 11, No. 12, pp. 2007, Dec, 2019. IF(2020): 6.639 , Rank (Oncology): 51/242 = Top 21.07% (Q1)
      B. Conference Papers
  1.  Djeane Debora Onthoni, Chieh-Peng Lin, Prasan Kumar Sahoo, "Machine Learning Assisted Performance Analysis of Customer Churn Prediction using Customer Relationship Management Big Data ", International Conference on Smart Sustainable Intelligent Computing and Applications, Delhi, India, Feb, 2020. (Best Paper Award)
Year Graduated : Jan, 2022
Current Job : Postdoctoral Researcher: National Health Research Institutes (NHRI), Taiwan
Current Students

Pushpanjali Gupta

Thesis title : Artificial Intelligence Assisted Colorectal Cancer Images Analysis for Designing Prognosis Models.
Publications :
      A. Journal Articles
  1.  P. Gupta, Y.-L. Huang, Prasan Kumar Sahoo*, J.-F. You, S.-F. Chiang, D. D. Onthoni, Y.-J. Chern, K.-Y. Chao, J.-M. Chiang, C.-y. Yeh, W.-S. Tsai, “Colon Tissues Classification and Localization in Whole Slide Images using Deep Learning”,  Diagnostics. Vol. 11, No. 8, pp. 1398, July, 2021. IF (2020): 3.706, Rank (Medicine, General & Internal): 45/169 = Top 26.62% (Q2).
  2.  Pushpanjali Gupta, Prasan Kumar Sahoo*, B. Veeravalli, “Dynamic Fault Tolerant Scheduling with Response Time Minimization for Multiple Failures in Cloud”,  Journal of Parallel and Distributed Computing. Vol. 158, pp. 80-93, July, 2021. IF(2020): 3.734, Rank (Computer Science, Theory & Methods): 19/110 = Top 17.27% (Q1)
  3.  Djeane Debora Onthoni, Ting-Wen Sheng, Prasan Kumar Sahoo*, Li-Jen Wang, Pushpanjali Gupta, “Deep Learning Assisted Localization of Polycystic Kidney on Contrast-enhanced CT Images”,  Diagnostics, Vol. 10, No. 13, pp. 1113, Dec, 2020. IF(2020): 3.706, Rank (Medicine, General & Internal): 45/169 = Top 26.62% (Q2)
  4.  Pushpanjali Gupta, Sum-Fu Chiang, Prasan Kumar Sahoo*, Suvendu Kumar Mohapatra, Jeng-Fu You*, Djeane Debora Onthoni, Hsin-Yuan Hung, Jy-Ming Chiang, Yenlin Huang, Wen-Sy Tsai, “Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach”, Cancers , Vol. 11, No. 12, pp. 2007, Dec, 2019. IF(2020): 6.639 , Rank (Oncology): 51/242 = Top 21.07% (Q1)
      B. Conference Papers
  1.  S. Mohapatra,Prasan Kumar Sahoo, P. Gupta,  " A Study of Channel Hopping Protocols in Cognitive Radio Networks ", International Conference on Information Technology and Computer Sciences (ITC), Tokyo, Japan, Aug, 2017.
  2. Pushpanjali Gupta, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, “Scheduling IoT Data of Smart Communities in Cloud ”, The 12th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2016), Taiwan, Aug, 2016.
Year Graduated : May, 2022
Current Job : Postdoctoral Researcher: National Yang Ming Chiao Tung University , Taiwan
Current Students

Sulagna Mohapatra

Research Area : Applications of AI: MRI, CT Scan Image Big Data analysis, Prediction models design, Deep Learning
Publications :
      A. Journal Articles
  1.  Prasan Kumar Sahoo*S. Mohapatra, Ching-Yi Wu, Kuo-Lun Huang, Ting-Yu Chang, Tsong-Hai Lee “Automatic Identification of Early Ischemic Lesions on Non-Contrast CT with Deep Learning Approach”,  Accepted in Scientific Reports. October, 2022. IF (2021): 4.996, Rank (Multidisciplinary Sciences): 19/74 = Top 25.67% (Q2)
  2.  Y.-C. Liu, D. D. Onthoni, S. Mohapatra, D. Irianti,Prasan Kumar Sahoo*, “Deep Learning Assisted Multi-Dishes Food Recognition Application for Dietary Intake Reporting”,  Electronics. May, 2022. IF (2021): 2.69, Rank (Physics, Applied): 82/161 = Top 50.93% (Q3)
  3.  Sulagna Mohapatra, Prasan Kumar Sahoo*, J.-P. Sheu, “ Spectrum Allocation with Guaranteed Rendezvous in Asynchronous Cognitive Radio Networks for Internet of Things ”, IEEE Internet of Things Journal, Vol. 6, Issue: 4, pp. 6104-6116, Aug, 2019. IF (2020): 9.471 , Rank (COMPUTER SCIENCE, INFORMATION SYSTEMS): 6/162 = Top 3.70%(Q1).
  4.  Prasan Kumar Sahoo, S. Mohapatra, J.-P. Sheu, “ Dynamic Spectrum Allocation Algorithms for Industrial Cognitive Radio Networks ”, IEEE Transactions on Industrial Informatics, Vol. 14, Issue: 7, pp.3031-3043 Jul, 2018.  IF (2020): 10.215 , Rank (Engineering, Industrial): 1/49 = Top 2.04% (Q1).
      B. Conference Papers
  1.  S. Mohapatra,Prasan Kumar Sahoo, P. Gupta,  " A Study of Channel Hopping Protocols in Cognitive Radio Networks ", International Conference on Information Technology and Computer Sciences (ITC), Tokyo, Japan, Aug, 2017.
  2.  S. Mohapatra, Prasan Kumar Sahoo*, " ASCH: A Novel Asymmetric Synchronous Channel Hopping Algorithm for Cognitive Radio Networks ", IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May, 2016.
Year Graduated : May, 2023
Current Job : Postdoctoral Researcher: National Yang Ming Chiao Tung University , Taiwan

Past Graduate Students: MS

Current Students

Cheng-Cheng Chien

Thesis title : A Novel Event Transmission Protocol for Vehicular Ad Hoc Networks.
Publication :
    Conference Papers
  1. Prasan Kumar Sahoo , C.-C. Chien, M.-J. Chiang and S.-L. Wu, "A Novel Event Transmission Protocol for Vehicular Ad Hoc Network", IEEE Asia Pacific conference on Wireless and Mobile, Bali, Indonesia, Aug., 2014.
Year Graduated : July, 2014
Current Students

Sulagna Mohapatra

Thesis title : Efficient Fast Rendezvous Protocols for Cognitive Radio Networks.
Publication :
     Conference Papers
  1.  S. Mohapatra, Prasan Kumar Sahoo*, " ASCH: A Novel Asymmetric Synchronous Channel Hopping Algorithm for Cognitive Radio Networks ", IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May, 2016.
Year Graduated : July, 2015
Current Students

Djeane Debora Onthoni

Thesis title : Spectrum Management in Cognitive Radio Networks in Multi Hop Multi User Environment.
Publication :
     Conference Papers
Year Graduated : Jan, 2016
Current Students

Hamdani Arif

Thesis title : Load Balanced Energy Efficient Scheduling in Cloud Computing.
Publication :
     Conference Papers
Year Graduated : July, 2016
Current Job : Lecturer, Computer Science, Politeknik Negeri Batam, Indonesia.
Current Students

Muhammad Febrian Ardiansyah

Thesis title : A Novel Task Scheduling Policy for Hadoop YARN
Publication :
     Conference Papers
Year Graduated : July, 2016
Current Job : Lecturer, Computer Science, Politeknik Elektronika Negeri Surabaya, Indonesia.
Current Students

Toga Aldila Cinderatama

Thesis title : Towards Utility Cost Minimization of Mobile Users in Cloud
Publication :
     Conference Papers
Year Graduated : July, 2016
Current Job : Lecturer, Computer science, Politeknik Kediri, Indonesia.
Current Students

Yoppy Yunhasnawa

Thesis title : Data Ferrying in Cloud Via SDN for the Vehicles in a Smart-City
Publication :
     Conference Papers
  1. Prasan Kumar Sahoo* , Y. Yunhasnawa, “Ferrying Vehicular Data in Cloud Through Software Defined Networking ”, IEEE WiMob, New York, USA, Oct, 2016.
Current Job : Lecturer, Computer Science, Politeknik Negeri Malang, Indonesia.
Year Graduated : July, 2016
Current Students

Apriandy Angdresey

Thesis title : Analysis and Prediction of Vehicular Big Data for Smart City
Publication :
     Conference Papers
Current Job : Lecturer, Informatics, Universitas katolik de la salle manado, Indonesia.
Year Graduated : Jan, 2017
Current Students

Ade Indra Onthoni

Thesis title : Study of Object Detection with Instance Segmentation using Enhanced Path Aggregation Network
Publication :
     Conference Papers
Year Graduated : June, 2023
Current Job : Research Assistant, National Health Research Institutes (NHRI), Taiwan

Past BS (Project) Students

Current Students Current Students Current Students Current Students

Chen Chang-Zhi

Florence Tiong Yu Xin

Hsu Heng-Yu

Tsai Yu-Hsiang
Year of graduation : 2022 Year of graduation : 2022 Year of graduation : 2022 Year of graduation : 2022