Sirajum munir



Download 90.5 Kb.
Date09.07.2018
Size90.5 Kb.
SIRAJUM MUNIR

2835 East Carson Street, Suite 210, Pittsburgh, PA 15203, USA

http://www.cs.virginia.edu/~sm7hr/

sirajum.munir@us.bosch.com



EDUCATION

PhD in Computer Science August 2008 – December 2014

  • University of Virginia Charlottesville, VA

  • Advisor: Prof. John A. Stankovic

  • Dissertation Title: Integration of Cyber-Physical Systems for Smart Homes

  • Overall GPA: 3.9538/4.0

Master of Science in Computer Science August 2008 - May 2010

  • University of Virginia Charlottesville, VA

  • Advisor: Prof. John A. Stankovic

  • Thesis Title: Addressing Burstiness for Reliable Communication and Latency Bound Generation in Wireless Sensor Networks

  • Overall GPA: 3.9454/4.0.

Bachelor of Science in Computer Science and Engineering April 2002 - May 2007

  • Bangladesh University of Engineering and Technology Dhaka, Bangladesh

  • Overall GPA: 3.90/4.0.

WORK EXPERIENCE

Research Scientist January 2015 – Present

  • Research and Technology Center, Robert Bosch LLC

  • Location: 2835 East Carson Street, Suite 210, Pittsburgh, PA 15203, USA

  • Manager: Christopher Martin

  • Job description:

    • Research and development of concepts and technologies for the next generation of Internet of Things products and services.

    • Design and engineering of platforms and applications for smart campus.

    • Support the deployment, validation and test of complex systems into real-world environments together with professional stakeholders.

    • Collaborate closely with top-tier research universities in the US (e.g. CMU) and corporate partners on the assignments.

Graduate Research Assistant Jan 2009 – December 2014

  • Department of Computer Science, University of Virginia

  • Location: 85 Engineer’s Way, Charlottesville, VA 22904, USA

  • Advisor: John A. Stankovic

  • Job description:

    • Worked on eight research projects (led five) in the areas of Cyber-Physical Systems and Internet of Things, which resulted in seven publications in CS conferences and journals. In these research projects, I developed applications and platforms for smart homes and helped modeling taxicab demand in urban areas.

    • Helped writing grants. I wrote ≈90% of a proposal titled as “Dependency Aware Sharing of the Internet of Things for Integrating Apps in Smart Homes” with PI John Stankovic that won Microsoft Research Software Engineering Innovation Foundation (SEIF) award 2014.

    • Helped advising undergraduate students. I mentored a 4th year undergraduate student at his senior year research project.

Software Engineering Intern September 2010 - December 2010

  • Google Inc.

  • Location: 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA

  • Manager: Bryce Liu

  • Job description:

    • Worked with Google AdSense back-end infrastructure team

    • Designed, implemented, and tested a server that shows how configuration parameters of some other servers are changed over time. It is developed using Django, Python, C++, and SWIG.


Graduate Teaching Assistant August 2008 - December 2008

  • Department of Computer Science, University of Virginia

  • Location: 85 Engineer’s Way, Charlottesville, VA 22904, USA

  • Job description:

    • Graded home works and exam reports of two undergraduate courses: Algorithms and Computer Architecture.

Software Engineer June 2007 - July 2008

  • Structured Data Systems Limited

  • Location: 775 Satmasjid road, Dhanmondi , Dhaka 1209, Bangladesh

  • Manager: Mohammad Ashraf Hossain

  • Job description:

    • Implemented many functionalities of “Intiendo Atlas Generator”, a desktop application for generating map-book. Its GUI offers map editing functionalities. It is developed using MFC/C++, LibXML, and GDIPlus.

    • Implemented several functionalities at the back end of “Intiendo Mapserver”, a full-fledged GIS server that generates map images dynamically based on user request. It is developed using C++, Winthread, MSXML, and GDIPlus. Visit http://maps.afrigis.co.za to see the maps.

AWARDS AND HONORS

  • Best Paper Award Finalist, International Conference on Cyber-Physical Systems (ICCPS), 2015.

  • Best Paper Award Finalist, International Conference on Cyber-Physical Systems (ICCPS), 2014.

  • Microsoft Research Software Engineering Innovation Foundation (SEIF) Award, 2014. (PI: John Stankovic).

  • Finalist, UVa Engineering Research Symposium (UVERS), 2014.

  • Travel Grant, Google PhD Summit, 2014.

  • Cyber Physical Systems Summer School Scholarship, Georgia Institute of Technology, 2010.

  • Full Tuition Scholarship, University of Virginia, Graduate studies program, 2008 - Present.

  • University Merit Scholarship, Bangladesh University of Engineering and Technology, 2002-2007.

  • Dean’s List Award, Bangladesh University of Engineering and Technology, 2002-2007.

  • ACM International Collegiate Programming Contest, Asia Regional: 2005 (4th position), 2004 (7th position), 2003 (7th position).

  • National Computer Programming Contest, Bangladesh: 2003 (7th position), 2004 (9th position).

  • Inter University Programming Contest, Bangladesh: 2003 (6th position), 2005 (8th position).

SELECTED RESEARCH PROJECTS

Integrating systems in smart homes January 2013 – December 2014

I have designed a sensing and actuation infrastructure for smart homes named DepSys that treats each system as an app and enables running many apps from different domains including energy, health, security, and entertainment. App developers specify dependency information as meta-data within their apps and their apps are put in an app store. Users can choose and install apps from the app store that will control home appliances. DepSys uses the meta-data to detect and resolve conflicts at app installation time and at run-time. I have developed a working prototype of DepSys upon HomeOS platform.



Detecting sensor failure in smart homes August 2012 – December 2014

I have developed novel techniques to detect various types of sensor failure in a smart home. Based on 71 days of data collected from 3 real-homes, I use statistical machine learning techniques to capture all the regular intervals between sensor firing and appliance activation events and report a failure when a significant deviation from the regular sensor-appliance behavior is observed.



Predicting passenger demand for taxicabs January 2013 – December 2014

In this work, to predict passenger demand for taxicabs, we use a 450GB dataset containing 6 months of GPS records of 14000 taxicabs that poses a big data challenge. To address this challenge, we define a novel parameter called pickup pattern to quantify taxicab operational similarity that not only reduces the amount of data to be analyzed, but achieves better inference accuracy as it allows us to consider only data of similar days instead of naively considering all the historical data.



Distraction detection in computer usage January 2012 – August 2013

In this human-computer interaction project, I collect empirical data to understand human behavior regarding distractions in computer usage and develop a human-in-the-loop control that can put workstations to sleep by early detection of distraction using several novel strategies, including adaptive timeout interval, where I learn and adapt the timeout interval of the individuals, and multilevel sensing, where I turn on the webcam and track the gaze of the users.



Latency bound for wireless communication January 2009 – April 2010

I have built a wireless communication model by performing a 21-day long empirical study where I transmit millions of packets over every link on a 48-node 802.15.4 network to understand how physical world dynamics affect wireless communication and use this model to design a routing protocol for reliable and on time packet delivery of real-time periodic sensor data.



PUBLICATIONS

  • Desheng Zhang, Tian He, Shan Lin, Sirajum Munir, and John A. Stankovic. "Taxi-Passenger-Demand Modeling from an Extremely-Large Roving Sensor Network". Submitted to the IEEE Transactions on Services Computing (IEEE TSC).

  • Sirajum Munir, Mohsin Y. Ahemd, and John A. Stankovic, “EyePhy: Detecting Dependencies in Cyber-Physical System Apps due to Human-in-the-Loop”. In Proc. of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous '15), Coimbra, Portugal, July 22–24, 2015.

  • Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He, and George J. Pappas. “Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas - a Receding Horizon Control Approach”. In Proc. of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS ‘15), Seattle, Washington, USA, April 14-16, 2015. (Best Paper Award Finalist)

  • Desheng Zhang, Tian He, Shan Lin, Sirajum Munir, and John A. Stankovic. “pCruise: Online Cruising Mile Reduction for Large-Scale Taxicab Networks”. To appear in IEEE Transactions on Parallel and Distributed Systems (TDPS), 2014.

  • Sirajum Munir and John A. Stankovic, “FailureSense: Detecting Sensor Failure using Electrical Appliances in the Home”, In Proc. of the 11th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS '14), Philadelphia, Pennsylvania, USA, October 28-30, 2014.

  • Desheng Zhang, Tian He, Shan Lin, Sirajum Munir, and John A. Stankovic. Dmodel: Online Taxicab Demand Model from Big Sensor Data in a Roving Sensor Network. In Proc. of the 3rd IEEE International Congress on Big Data, Anchorage, Alaska, USA, June 27 - July 2, 2014. (Acceptance rate: 19%)

  • Sirajum Munir and John A. Stankovic. "DepSys: Dependency Aware Integration of Cyber-Physical Systems for Smart Homes". In Proc. of the 5th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS '14). Berlin, Germany, April 14-17, 2014. (Best Paper Award Finalist)

  • Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, and Shan Lin. "Reducing Energy Waste for Computers by Human-in-the-Loop Control". To appear in IEEE Transactions on Emerging Topics in Computing (TETC), 2013.

  • Chieh-Jan Mike Liang, Jun Tang, Li Zhang, Feng Zhao, Sirajum Munir, and John A. Stankovic. "Poster Abstract: On Human Behavioral Patterns in Elevator Usages". In Proc. of the 5th ACM Workshop On Embedded Systems For Energy-Efficient Buildings (BuildSys '13), Rome, Italy, November 13-14, 2013.

  • Sirajum Munir, John Stankovic, Chieh-Jan Mike Liang, and Shan Lin. "Cyber Physical System Challenges for Human-in-the-Loop Control". In Proc. of the 8th International Workshop on Feedback Computing, in conjunction with USENIX, San Jose, California, June, 2013.

  • Sirajum Munir, Shan Lin, Enamul Hoque, S.M. Shahriar Nirjon, John Stankovic, Kamin Whitehouse, “Addressing Burstiness for Reliable Communication and Latency Bound Generation in Wireless Sensor Networks”, In Proc. of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN ’10), Stockholm, Sweden, April 12-16, 2010. (Acceptance rate: 17%, 50+ citations).

  • Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md. Faizul Bari, “ACN: An Associative Classifier with Negative Rules”, In Proc. of the 11th IEEE International Conference on Computational Science and Engineering, São Paulo, Brazil, July 16-18, 2008.

  • Gourab Kundu, Sirajum Munir, Md. Faizul Bari, Md. Monirul Islam, and K. Murase, "A Novel Algorithm for Associative Classification", In Proc of the 14th International Conference on Neural Information Processing, Kitakyushu, Japan, November 13-16, 2007.

INVENTION DISCLOSURES

  • Sirajum Munir (55%) and John A. Stankovic (45%). "DepSys: Dependency Aware Integration of Cyber-Physical Systems for Smart Homes". Invention Disclosure, submitted to UVA Patent Foundation, May 2014.

  • Sirajum Munir (45%), John A. Stankovic (30%), Chieh-Jan Mike Liang (20%), and Shan Lin (5%). "Reducing Energy Waste for Computers by Human-in-the-Loop Control". Invention Disclosure, submitted to UVA Patent Foundation, January 2014.

GRADUATE COURSES

Data Mining, Machine Learning, Software Engineering, Cyber Physical Systems, Computer Networks, Special Topics in Sensor Networks, Operating Systems, Statistics, Theory of Computation, and Computer Architecture.



TECHNICAL EXPERTISE

  • Languages: C/C++, Java, C#, Python, 80x86 Assembly Language, nesC, Prolog

  • Machine Learning Tools: Matlab, R, Weka.

  • Network Programming: TCP/IP Socket Programming, JavaMail API, CommAPI

  • Web Programming: HTML, PHP, ASP.NET, Django

  • Graphics Programming: OpenGL, GDIPlus

  • Database Systems: MySQL, Oracle, MS SQL Server

  • Tools: MS Visual Studio .NET, Eclipse, SVN, GIT, JBuilder, PSpice

  • Operating Systems: Windows, Variants of Linux, TinyOS, Familiarity with Android

  • Embedded Systems: X10 motion and contact sensors, Z-wave devices, Tmote Sky, MICAz, RFID

REFERENCES

  • Christopher Martin

    • Department Head

    • Research and Technology Center North America, Robert Bosch LLC

    • christopher.martin@us.bosch.com

  • John A. Stankovic

    • BP America Professor

    • Department of Computer Science, University of Virginia

    • stankovic@cs.virginia.edu

  • Kamin Whitehouse

    • Commonwealth Associate Professor

    • Department of Computer Science, University of Virginia

    • whitehouse@cs.virginia.edu

  • Chieh-Jan Mike Liang

    • Lead Researcher

    • Mobile and Sensing Systems (MASS) group, Microsoft Research

    • Liang.Mike@microsoft.com







Share with your friends:


The database is protected by copyright ©dentisty.org 2019
send message

    Main page