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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

Gone Neelakantam

Year of joining : Sep, 2015
Research Area : FOG Computing: Intelligent Resource Management for IoT devices
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)
Email : gonen727@gmail.com
Personal links :
Current Students

Djeane Debora Onthoni

Year of joining : Feb, 2016
Research Area : Applications of AI: IoT and Medical Image Big Data Analysis, Deep Learning, Machine Learning
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.  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)
  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.  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)
  5.  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)
Email : djeanedebora@gmail.com
Personal links :
Current Students

Pushpanjali Gupta

Year of joining : Sep, 2016
Research Area : Applications of AI: Digital Pathological Image Big Data Analysis, Deep Learning
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”,  Accepted in Journal of Parallel and Distributed Computing, 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.
Email : pushpanjaligupta79@gmail.com
Personal links :
Current Students

Sulagna Mohapatra

Year of joining : Feb, 2017
Research Area : Applications of AI: MRI, CT Scan Image Big Data analysis, Prediction models design, Deep Learning
Publications :
      A. Journal Articles
  1.  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).
  2.  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.
Email : mohapatra.sulagna07@gmail.com
Personal links :
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
Email : mekholika@gmail.com
Personal links :

Current MS Students

Current Students

Ade Indra Onthoni

Year of joining : Sep, 2020
Research Area : Applications of AI: Deep Learning, Video Data Analysis, Object Detection, Object Recognition
Publications :
      A. Journal Articles
        B. Conference Papers
Email : ionthoni@gmail.com
Personal links :

Past Graduate Students: Ph.D.

Current Students

Suvendu Kumar Mohapatra

Year of joining : Sep, 2012
Year Graduated : July, 2017
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.  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).
  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).
Current Job : System Architect (R & D), Volktek Corporation, Taiwan
Email : mohapatra.suvendu@gmail.com
Personal links :
Current Students

Hiren Kumar Bharatbhai Thakkar

Year of joining : Feb, 2014
Year Graduated : July, 2018
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.
Current Job : Assistant Professor, Bennett University, India.
Email : iamhiren@gmail.com
Personal links :
Current Students

Chinmaya Kumar Dehury

Year of joining : Sep, 2014
Year Graduated : Jan, 2019
Thesis title : Scheduling and Resource Management Algorithms for Cloud Computing
Publications :
      A. Journal Articles
  1.  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)
  2.  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)
  3.  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)
  4.  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).
  5.  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).
  6.  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
Current Job : Postdoctoral Fellow, University of Tartu, Estonia
Email : chinmaya.dehury@ymail.com
Personal links :

Past Graduate Students: MS

Current Students

Cheng-Cheng Chien

Year of joining : Sep, 2011
Year Graduated : July, 2014
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.
Email :
Personal links :
Current Students

Sulagna Mohapatra

Year of joining : Sep, 2013
Year Graduated : July, 2015
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.
Email : mohapatra.sulagna07@gmail.com
Personal links :
Current Students

Djeane Debora Onthoni

Year of joining : Feb, 2014
Year Graduated : Jan, 2016
Thesis title : Spectrum Management in Cognitive Radio Networks in Multi Hop Multi User Environment.
Publication :
     Conference Papers
Email : djeanedebora@gmail.com
Personal links :
Current Students

Hamdani Arif

Year of joining : Sep, 2014
Year Graduated : July, 2016
Thesis title : Load Balanced Energy Efficient Scheduling in Cloud Computing.
Publication :
     Conference Papers
Current Job : Lecturer, Computer Science, Politeknik Negeri Batam, Indonesia.
Email : hamham.dani@gmail.com
Personal links :
Current Students

Muhammad Febrian Ardiansyah

Year of joining : Sep, 2014
Year Graduated : July, 2016
Thesis title : A Novel Task Scheduling Policy for Hadoop YARN
Publication :
     Conference Papers
Current Job : Lecturer, Computer Science, Politeknik Elektronika Negeri Surabaya, Indonesia.
Email : ardihikaru3@gmail.com
Personal links :
Current Students

Toga Aldila Cinderatama

Year of joining : Sep, 2014
Year Graduated : July, 2016
Thesis title : Towards Utility Cost Minimization of Mobile Users in Cloud
Publication :
     Conference Papers
Current Job : Lecturer, Computer science, Politeknik Kediri, Indonesia.
Email : aldilacinderatama@gmail.com
Personal links :
Current Students

Yoppy Yunhasnawa

Year of joining : Sep, 2014
Year Graduated : July, 2016
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.
Email : yunhasnawa@gmail.com
Personal links :
Current Students

Apriandy Angdresey

Year of joining : Feb, 2015
Year Graduated : Jan, 2017
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.
Email : andrew_aprhy@yahoo.com
Personal links :