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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

Chinmaya Kumar Dehury

Year of joining : Sep, 2014
Research Area : Cloud Computing: VM Scheduling, VN Embedding and Fault Tolerance Problems.
Publications :
      A. Journal Articles
  1.  Prasan Kumar Sahoo, Chinmaya Kumar Dehury* and Bharadwaj 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, No. 4, pp 887-900, Apr,2018.  IF (2017): 3.971, Rank (Computer Science, Theory & Methods): 8/103=Top 7.3%(Q1).
  2.  Prasan Kumar Sahoo, Chinmaya Kumar Dehury*, “ Efficient Data and CPU-intensive Job Scheduling Algorithms for Healthcare Cloud ” Computers & Electrical Engineering , Accepted,  IF (2017): 1.747, Rank (Computer Science, Hardware & Architecture): 20/52=Top 37.5%(Q2)..
  3.  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, Sept, 2016. IF (2016): 2.444, Rank (Computer Science, Software Engineering): 22/106=Top 20.7% (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
Email : chinmaya.dehury@ymail.com
Personal links :
Current Students

Gone Neelakantam

Year of joining : Sep, 2015
Research Area : FOG Computing: Intelligent Resource Management for IoT devices
Publications :
      A. Journal Articles
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
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
      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), Aug-2016, Taiwan
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.  S.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, Accepted, IF (2017): 5.863, Rank (COMPUTER SCIENCE, INFORMATION SYSTEMS): 5/148 = Top 3.37%(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, July, 2018.  IF (2017): 5.43, Rank (Engineering, Industrial):1/47 = Top 2.1% (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 :

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.  Prasan Kumar Sahoo, Suvendu Kumar Mohapatra, Shih-Lin Wu*, “ SLA based healthcare big data analysis and computing in cloud network ” Journal of Parallel and Distributed Computing , Apr, 2018,  IF (2017): 1.815, Rank (COMPUTER SCIENCE, THEORY & METHODS): 33/103=Top 31.6%(Q2).
  2.  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 (2016): 3.244, Rank (Computer Science, Information Systems): 27/146=Top 18%(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, May, 2016. IF (2016): 3.5, Rank (Computer Science, Software Engineering): 6/106=Top 5.7% (Q1).
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.  Prasan Kumar Sahoo, Hiren Kumar Thakkar, Wen-Yen Lin, Po-Cheng Chang, Ming-Yih 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 (2017): 2.475, Rank (Instruments and instrumentation): 16/61=Top 25.5%(Q2).
  2.  Prasan Kumar Sahoo, Hiren Kumar Thakkar, and I-shyan 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 (2017): 2.475, Rank (Instruments and instrumentation): 16/61=Top 25.5%(Q2).
  3.  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 1-28, Mar 2017. IF (2016): 2.677, Rank (Instruments and instrumentation): 10/58=Top 17.2%(Q1).
  4.  Prasan Kumar Sahoo*, Hiren Kumar Thakkar, “ TLS: Traffic Load Based Scheduling Protocol for Wireless Sensor Networks ”, International Journal of Ad Hoc and Ubiquitous Computing, IF (2016): 0.705, Rank (Computer Science, Information Systems): 131/146 (Q4).
      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 : Post Doctoral Fellow: Motor Behavioral Research Lab, Chang Gung University, Taiwan.
Email : iamhiren@gmail.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 :
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 :