Chinmaya Dehury
PostDoc Fellow, Mobile & Cloud Lab
University of Tartu, Estonia
chinmaya.dehury(at)ut.ee,(at)ymail.com
http://blogchinmaya.blogspot.com
Address:
Institute of Computer Science
University of Tartu
Ulikooli 17 - 322
Tartu 50090, Estonia
Telephone: +372 737 6419
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About Me


In Fall 2013, I joined Future Ubiquitous Networking (FUN) Lab at Chang Gung University as a Master student under Prof. Prasan Kumar Sahoo. The lab is now changed to Artificial intelligence and Big data Computing (ABC) Lab.
In Fall 2014, I upgrade the Master program to PhD program at the Department of Computer Science and Information Engineering at CGU. Now I have joined at Mobile & Cloud Lab, Institute of Computer Science, University of Tartu as a Researcher.  

Education


Sept 2013 ~ Jan 2019 : Ph.D. in Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan
Thesis title: Scheduling and Resource Management Algorithms for Cloud Computing.
Supervisor: Prof. Prasan Kumar Sahoo
Aug 2010 ~ July 2013 : Master in Computer Application, Biju Patnaik University of Technology (BPUT), Odisha, India
Thesis title: Implementation of Radix sort in binary number system.
Supervisor: Dr. Rudramohan Tripathy
Aug 2006 ~ June 2009 : Bachelor in computer Application, Sambalpur University, Odisha , India

International Reviewer


IEEE Transaction on Parallel and Distributed Systems (IEEE-TPDS)
IEEE Journal on Selected Areas in Communications (IEEE-JSAC)
Internet of Things and Cloud Computing
International Conference on Computer Science and Application Engineering (CSAE 2019), China
International Conference on Computer Science and Application Engineering (CSAE 2018), China

Publication


  List of publication
   dblp list
   Google scholar list

Research Interest


Current Research Interest


Cloud Computing: My research mainly focused on Virtual Network Embedding (VNE) problem, where I have studied the optimization problem of resource utilization research issue. I focus on the application of different mathematical tools such as graph theory, Hidden Markov Model (HMM) to improve the embedding solution. Besides I focus on resource allocation, network-aware resource scheduling, resource-intensive job scheduling, virtual resource migration cost analysis, server load balancing, power management, fault tolerance analysis.

Internet of Things: In conjunction with cloud computing, I am focusing on the combination of IoT world and the cloud environment. latency-aware job scheduling, bandwidth-aware job scheduling, IoT service management in cloud are some of the research issues I have studied.

Fog computing: Integration of fog and cloud computing. Computation offloading to Cloud, job migration between cloud and fog computing.

Future Research Interest


Artificial Intelligence (AI): AI enabled Cloud resource management, resource demand prediction in cloud, , Pre-VNE based on workload prediction. pro-active AI enabled resource failure prediction in Fog and Cloud.