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Sima Das
325, Computer Science E-mail: sdp4b@mst.edu
MST, Rolla, MO-65401. USA Phone: 314-348-5608
Objective I look forward to being a teacher and a researcher producing quality work and dealing with
challenging problems in different domains that will help me learn, integrate and interrelate the
underlying similarity, best leverage my analytical and problem solving ability, out-of-the-box
thinking, fast learning ability and satiate my curious mind.
Education Missouri University of Science and Technology, Rolla, MO.
PhD candidate, Graduate Research Assistantship.
Indian Institute of Technology (I.I.T.), Kharagpur, India,
Research Associate with Institute Fellowship (selected for Infosys Fellowship).
Department of Computer Science and Engineering.
Jadavpur University, Kolkata, India, UGC Fellowship
MS, Computer Science and Engineering, (GATE 98.1).
Utkal University, Bhubaneswar, India
BS, Computer Science and Engineering, (State Govt. merit Scholarship).
List of Publications
• Sima Das and Sajal K. Das, “Leveraging Network Structure in Centrality Evaluation of
Large Scale Networks”, in Proceedings of the 40th
IEEE Conference on Local Computer
Networks, 2015.
• Sima Das, Sajal K. Das and Susmita Ghosh, “Inferring Future Links in Large Scale
Networks”, in Proceedings of the 41st
IEEE Conference on Local Computer Networks
(LCN), 2016.
• Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das, “Graph Partitioning in
Parallelization of Large Scale Networks”, in Proceedings of the 41st
IEEE Conference on
Local Computer Networks, 2016.
• Sima Das, Sajal K. Das and Susmita Ghosh, “Leveraging Contact Pattern to Predict Future
Contact Pattern in Mobile Networks”, in Proceedings of the 17th
ACM International
Conference on MobiHoc, 2016.
• Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das, “Graph Compaction in
Analyzing Large Scale Online Social Networks”, in Proceedings of the IEEE International
Conference on Communications (ICC), 2017.
• Sima Das and Sajal K. Das, “A Probabilistic Link prediction Model in Time-Varying Social
Networks”, in Proceedings of the IEEE International Conference on Communications,2017.
  2	
  
• Sima Das and Sajal K. Das, “Periodic Contact Patterns in Predicting Future Contacts Over
Mobile Networks”, submitted (under review) to IEEE International Symposium on a World
of Wireless Mobile and Multimedia Network (WoWMoM), 2017.
• http://cdsweb.cern.ch/record/895074/files/?docname=0510050&version=all
• http://arxiv.org/pdf/1405.5512v2.pdf
Research
Experience
• Working on information diffusion, temporal centrality metrics, their effect in predicting
mobility in dynamic large-scale networks, IoT applications in Smart Community, and
dynamic routing problems.
• Wrote part of the proposal for Secure Sensor Cloud computing. It raised a research grant
from NIST: $175,000. Designed sensor cloud architecture based on Voronoi Diagram and
Vertex Cover concept. Considered Load balancing, SLAs, and Trust aspects.
• Prepared a survey on “Green computing: a survey in System, Algorithms and Application”
prospect.
• Comparative Study on Existing Approaches for Secure Data Dissemination in Wireless
Sensor Networks.
• Worked in project on Maximum Intrusion Defensive Path in Wireless Sensor Network.
• Worked in project on Trust Evaluation in a Lightweight, Fault tolerant Aggregated Data
Dissemination Model in Sensor Network.
• Worked on project for Statistical model for Mobile Data Management in Vehicular
Network.
• Prepared a comprehensive survey on “Transactional Memory-Trends and Techniques”.
• Application of genetic algorithms and Fuzzy Logic for determination of image enhancement
functions- MS Thesis: Department of Defense Sponsored Project.
Skills LANGUAGES Python, R, C, Java, HTML, SQL, Embedded Software- NesC
OPERATING SYSTEMS Mac, Linux, Unix, Windows 7, XP/2000/98, TinyOS
OTHER Mathematica, LaTeX, MATLAB
Activity
• Serving TPC member for IoT and Smart Wear Track, GHC-2017.
• Reviewed submitted papers for PERCOM-2015, INFOCOM-2014, COMPSAC-2013.
• Judged applications for SWE Freshman, Senior and Graduate Fellowship.
• Volunteered for Google Outreach Program.
• Student Volunteer for ISSRE, QCQIP.
• Student Member of ACM, IEEE, IEEE ComSoc, SWE. Actively volunteered in Outreach
programs for motivating High School students in Science and Engineering via SWE.
• Ex-Secretary IEEE, CS, Ex-Vice president ACM-W, CS, MST.
• Selected for Faculty position (with MS) in National Institute of Technology, RKL, India.
• Teaching assistant for courses on Advances in Algorithms, Quantum Computing and
Quantum Information Processing, Programming and Data Structure Lab, I.I.T. Kharagpur.
• Scholarship from CHSE-Orissa and BSE-Orissa.

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Resume sima das

  • 1.   1   Sima Das 325, Computer Science E-mail: sdp4b@mst.edu MST, Rolla, MO-65401. USA Phone: 314-348-5608 Objective I look forward to being a teacher and a researcher producing quality work and dealing with challenging problems in different domains that will help me learn, integrate and interrelate the underlying similarity, best leverage my analytical and problem solving ability, out-of-the-box thinking, fast learning ability and satiate my curious mind. Education Missouri University of Science and Technology, Rolla, MO. PhD candidate, Graduate Research Assistantship. Indian Institute of Technology (I.I.T.), Kharagpur, India, Research Associate with Institute Fellowship (selected for Infosys Fellowship). Department of Computer Science and Engineering. Jadavpur University, Kolkata, India, UGC Fellowship MS, Computer Science and Engineering, (GATE 98.1). Utkal University, Bhubaneswar, India BS, Computer Science and Engineering, (State Govt. merit Scholarship). List of Publications • Sima Das and Sajal K. Das, “Leveraging Network Structure in Centrality Evaluation of Large Scale Networks”, in Proceedings of the 40th IEEE Conference on Local Computer Networks, 2015. • Sima Das, Sajal K. Das and Susmita Ghosh, “Inferring Future Links in Large Scale Networks”, in Proceedings of the 41st IEEE Conference on Local Computer Networks (LCN), 2016. • Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das, “Graph Partitioning in Parallelization of Large Scale Networks”, in Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016. • Sima Das, Sajal K. Das and Susmita Ghosh, “Leveraging Contact Pattern to Predict Future Contact Pattern in Mobile Networks”, in Proceedings of the 17th ACM International Conference on MobiHoc, 2016. • Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das, “Graph Compaction in Analyzing Large Scale Online Social Networks”, in Proceedings of the IEEE International Conference on Communications (ICC), 2017. • Sima Das and Sajal K. Das, “A Probabilistic Link prediction Model in Time-Varying Social Networks”, in Proceedings of the IEEE International Conference on Communications,2017.
  • 2.   2   • Sima Das and Sajal K. Das, “Periodic Contact Patterns in Predicting Future Contacts Over Mobile Networks”, submitted (under review) to IEEE International Symposium on a World of Wireless Mobile and Multimedia Network (WoWMoM), 2017. • http://cdsweb.cern.ch/record/895074/files/?docname=0510050&version=all • http://arxiv.org/pdf/1405.5512v2.pdf Research Experience • Working on information diffusion, temporal centrality metrics, their effect in predicting mobility in dynamic large-scale networks, IoT applications in Smart Community, and dynamic routing problems. • Wrote part of the proposal for Secure Sensor Cloud computing. It raised a research grant from NIST: $175,000. Designed sensor cloud architecture based on Voronoi Diagram and Vertex Cover concept. Considered Load balancing, SLAs, and Trust aspects. • Prepared a survey on “Green computing: a survey in System, Algorithms and Application” prospect. • Comparative Study on Existing Approaches for Secure Data Dissemination in Wireless Sensor Networks. • Worked in project on Maximum Intrusion Defensive Path in Wireless Sensor Network. • Worked in project on Trust Evaluation in a Lightweight, Fault tolerant Aggregated Data Dissemination Model in Sensor Network. • Worked on project for Statistical model for Mobile Data Management in Vehicular Network. • Prepared a comprehensive survey on “Transactional Memory-Trends and Techniques”. • Application of genetic algorithms and Fuzzy Logic for determination of image enhancement functions- MS Thesis: Department of Defense Sponsored Project. Skills LANGUAGES Python, R, C, Java, HTML, SQL, Embedded Software- NesC OPERATING SYSTEMS Mac, Linux, Unix, Windows 7, XP/2000/98, TinyOS OTHER Mathematica, LaTeX, MATLAB Activity • Serving TPC member for IoT and Smart Wear Track, GHC-2017. • Reviewed submitted papers for PERCOM-2015, INFOCOM-2014, COMPSAC-2013. • Judged applications for SWE Freshman, Senior and Graduate Fellowship. • Volunteered for Google Outreach Program. • Student Volunteer for ISSRE, QCQIP. • Student Member of ACM, IEEE, IEEE ComSoc, SWE. Actively volunteered in Outreach programs for motivating High School students in Science and Engineering via SWE. • Ex-Secretary IEEE, CS, Ex-Vice president ACM-W, CS, MST. • Selected for Faculty position (with MS) in National Institute of Technology, RKL, India. • Teaching assistant for courses on Advances in Algorithms, Quantum Computing and Quantum Information Processing, Programming and Data Structure Lab, I.I.T. Kharagpur. • Scholarship from CHSE-Orissa and BSE-Orissa.