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Shahriar Nirjon

Ph.D., Department of Computer Science, University of Virginia.
Email: smn8z@virginia,edu

About

My primary area of interest is Sensing and Mobile Computing. I enjoy building application specific systems as well as systems and platforms for developing new applications that involve sensors, mobile devices, and cloud-services. Research challenges that I deal with are the uncertainties in physical world sensing, human factors such as the user-context and mobility, real-time issues, and resource constraints of the embedded platform. Technologies that I have expertise in includes Smartphones, Depth-Camera Sensors, Sensor motes, and GPS.

I received my PhD (2014) and an MCS (2011) from the UVA, and an MSc (2008) and a BSc (2006) from the Bangladesh University of Engineering and Technology (BUET). I interned at Microsoft Research (Redmond, WA, 2013), Microsoft (Redmond, WA, 2011), and Deutsche Telekom Lab (Los Altos, CA, 2010). Before grad school, I was a lecturer at the department of CSE, BUET (2007-08). I was the UVA CS department's outstanding graduate student for the year 2011-12.

I will be joining HP Labs (Palo Alto, CA) as a Researcher in Networking and Mobility in August, 2014.

Awards

  • Best Paper Award, The 12th International Conference on Mobile Systems, Applications, and Services (MOBISYS '14) (June 2014)
  • Best Paper Award, The 18th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS '12) (April 2012)
  • Outstanding Graduate Student Award for Research, Department of Computer Science, University of Virginia (May 2012)
  • Gold Medal for 1st Position in Nation-wide Higher Secondary Certificate Exam, Dhaka College, Dhaka, Bangladesh (2000)
  • ACM International Collegiate Programming Contests (ICPC): Asia Regional 2003 (6th position), 2004 (7th position), 2005 (8th position); Mid-Atlantic Regional (Maryland, USA) 2008 (19th position).

Journal Publications

[1] Shahriar Nirjon, Angela Nicoara, Cheng-Hsin Hsu, Jatinder Singh, and John Stankovic, "MultiNets: A System for Real-Time Switching between Multiple Network Interfaces on Mobile Devices", ACM Transaction on Embedded Computing Systems (TECS), Vol. 13, No. 4s, Art. 121, 25 pages, April 2014. [pdf]

[2] Md. Monirul Islam, Xin Yao, Shahriar Nirjon, Muhammad Asiful Islam, and Kazuyuki Murase, "Bagging and Boosting Negatively Correlated Neural Networks", IEEE Transactions on Systems, Man and Cybernatics-Part B: Cybernatics, Vol. 38, No. 3, 15 pages, June 2008. (46 citations) [pdf]

Conference Publications

[1] Shahriar Nirjon, Ifat Afrin Emi, Md Abu Sayeed Mondol, Asif Salekin, and John A. Stankovic, "MOBI-COG: A Mobile Application for Instant Screening of Dementia Using the Mini-Cog Test", In Wireless Health 2014, 8 pages, Bethesda, MD, 2014. (25% acceptance rate) [pdf]

[2] Shahriar Nirjon, Jie Liu, Bodhi Priyantha, Gerald Dejean, Yuzhe Jin, and Ted Hart, "COIN-GPS: Indoor Localization from Direct GPS Receiving", In Proc. of the 12th International Conference on Mobile Systems, Applications, and Services (MobiSys '14), 14 pages, Bretton Woods, NH, 2014. (BEST PAPER AWARD, 13.5% acceptance rate) [pdf]

[3] Shahriar Nirjon, Chris Greenwood, Carlos Torres, Stefanie Zhou, John A. Stankovic, Hee Jung Yoon, Ho-Kyeong Ra, Can Basaran, Taejoon Park, and Sang H. Son, "Kintense: A Robust, Accurate, Real-Time and Evolving System for Detecting Aggressive Actions from Streaming 3D Skeleton Data", In Proc. of the 12th IEEE International Conference on Pervasive Computing and Communications (PerCom '14), 9 pages, Budapest, 2014. (14% acceptance rate) [pdf]

[4] Chris Greenwood, Shahriar Nirjon, John Stankovic, Ho-Kyeong Ra, Hee Jung Yoon, and Sang Son, "Kinspace: Passive Obstacle Detection via Kinect", In Proc. of the 11th European Conference on Wireless Sensor Networks (EWSN '14), 16 pages, Oxford, UK, 2014. (24% acceptance rate) [pdf]

[5] Robert F. Dickerson, Enamul Hoque, Philip Asare, Shahriar Nirjon, and John A. Stankovic, "RESONATE: Improving Speech Classification in Home Environments Using Reverberant Environment Simulation", In Proc. of the 13th Sensor Networks (IPSN '14), 12 pages, Berlin, Germany, 2014. (20% acceptance rate)

[6] Shahriar Nirjon, Robert Dickerson, Philip Asare, Qiang Li, Dezhi Hong, John Stankovic, Pan Hu, Guobin Shen, and Xiaofan Jiang, "Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones", In Proc. of the 11th International Conference on Mobile Systems, Applications and Services (MobiSys '13), 14 pages, Taipei, Taiwan, 2013. (15.7% acceptance rate, 8 citations) [pdf]

[7] Shahriar Nirjon, Robert Dickerson, John Stankovic, Guobin Shen, and Xiaofan Jiang, "sMFCC: Exploiting Sparseness in Speech for Fast Acoustic Feature Extraction on Mobile Devices – a Feasibility Study", In Proc. of the 14th Mobile Computing Systems and Applications (HotMobile '13), 6 pages, Jekyll Island, GA, 2013. (31.4% acceptance rate) [pdf]

[8] Shahriar Nirjon, Robert Dickerson, Qiang Li, Philip Asare, John Stankovic, Dezhi Hong, Ben Zhang, Guobin Shen, Xiaofan Jiang, and Feng Zhao, "MusicalHeart: A Hearty Way of Listening to Music", In Proc. of the 10th ACM Conference on Embedded Networked Sensor Systems (SenSys '12), 14 pages, Toronto, ON, Canada, 2012. (18.7% acceptance rate, 16 citations) [pdf]

[9] Shahriar Nirjon, and John Stankovic, "Kinsight: Localizing and Tracking Household Objects using Depth-Camera Sensors", In Proc. of the 8th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS '12), 8 pages, Hangzhou, China, 2012. [pdf]

[10] Shahriar Nirjon, Angela Nicoara, Cheng-Hsin Hsu, Jatinder Singh, and John Stankovic, "MultiNets: Policy Oriented Real-Time Switching of Wireless Interfaces on Mobile Devices", In Proc. of the 18th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS '12), 10 pages, Beijing, China, 2012. (BEST PAPER AWARD, 23.6% acceptance rate, 16 citations) [pdf]

[11] Shahriar Nirjon, John Stankovic, and Kamin Whitehouse, "IAA: Interference Aware Anticipatory Algorithm for Scheduling and Routing Periodic Real-time Streams in WSN", In Proc. of the 7th International Conference on Networked Sensing System (INSS '10), 8 pages, Kassel, Germany, 2010. (23% acceptance rate) [pdf]

[12] Sirajum Munir, Shan Lin, Enamul Hoque, Shahriar Nirjon, John Stankovic, and Kamin Whitehouse, "Addressing Burstiness for Reliable Communication and Latency Bound Generation in WSN", In Proc. of Information Processing in Sensor Networks (IPSN '10), 12 pages, Sweden, 2010. (18% acceptance rate, 49 citations) [pdf]

[13] Shahriar Nirjon, Muhammad Asiful Islam, and Sarkar Tanzir Ahmed, "Creating Diverse Ensemble by Data Feeding Approach", In Proc. of International Conference of Computer and Information Technology (ICCIT '06), Dhaka, 2006.

Demo and Poster Publications

[1] Shahriar Nirjon, Jie Liu, Bodhi Priyantha, and Gerald DeJean, "Poster Abstract: High-Sensitivity Cloud-Offloaded Instant GPS for Indoor Environments", In Proc. of SenSys, Rome, Italy, 2013.

[2] Shahriar Nirjon, Chris Greenwood, Carlos Torres, Stefanie Zhou, John A. Stankovic, Hee Jung Yoon, Ho-Kyeong Ra, Can Basaran, Taejoon Park, and Sang H. Son, "Demo Abstract: Kintense: A Robust, Accurate, Real-Time and Evolving System for Detecting Aggressive Actions from Streaming 3D Skeleton Data", In Proc. of SenSys, Rome, Italy, 2013.

[3] Dezhi Hong, Shahriar Nirjon, John Stankovic, David Stone, and Guobin Shen, "Poster Abstract: Mobile-Cloud Service for Physiological Anomaly Detection on Smartphones", In Proc. of IPSN, Philadelphia, PA, 2013.

[4] Pan Hu, Guobin Shen, Xiaofan Jiang, Shao-fu Shih, Donghuan Lu, Feng Zhao, Dezhi Hong, Qiang Li, Shahriar Nirjon, Robert Dickerson, and John Stankovic, "Demo Abstract: SEPTIMU^2 – Earphones for Continuous and Non-intrusive Physiological and Environmental Monitoring", In Proc. of 10th ACM Conference on Embedded Networked Sensor Systems (SenSys '12), Toronto, Canada.

[5] Dezhi Hong, Ben Zhang, Qiang Li, Shahriar Nirjon, Robert Dickerson, Guobin Shen, Xiaofan Jiang, and John Stankovic, "Demo Abstract: SEPTIMU – Continuous In-situ Human Wellness Monitoring and Feedback using Sensors Embedded in Earphones", In Proc. of 11th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN'12), Beijing, China.

[6] Shahriar Nirjon, John Stankovic, and Kamin Whitehouse, "Poster Abstract: Heuristics for Scheduling Periodic Real-Time Streams in WSN", In Proc. of 7th ACM Conference on Embedded Networked Sensor Systems (SenSys'09), Berkeley, CA, November 2009.

Summary of Education

University of Virginia, Charlottesville, Virginia (2008 - 2014)
PhD in Computer Science, Advisor: John A. Stankovic.
Dissertation Title: A General-Purpose, Energy-Efficient, and Context-Aware Acoustic Event Detection Service Platform for Mobile Devices.

University of Virginia, Charlottesville, Virginia (2008 - 2011)
Master of Computer Science, CGPA: 4.00/4.00, Advisor: John A. Stankovic.
Project: Policy Oriented Real-Time Switching of Wireless Interfaces on Mobile Devices.

Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (2006 - 2008)
M.Sc. in Computer Science and Engineering, CGPA: 3.83/4.00, Advisor: Masud Hasan.
Thesis Title: Computing Nice Projections of 2D and 3D Scenes.

Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (2006)
B.Sc. in Computer Science and Engineering, CGPA: 3.96/4.00, Advisor: Md. Monirul Islam.
Thesis Title: Bagging and Boosting Negatively Correlated Neural Networks.

Summary of Industry Experience

Microsoft Research, Redmond, WA, USA (Summer 2013)
As a Research Intern of Jie Liu, Principal Researcher, Sensing and Energy Research Group.

Microsoft Corporation, Redmond, WA, USA (Summer 2011)
As a Software Development Engineer Intern, ADO.NET.

Deutsche Telekom R&D Lab, Los Altos, CA, USA (Fall 2010)
As a Research Intern of Angela Nicoara, Senior Research Scientist, Services and Mobile Platforms.

Summary of Teaching Experience

University of Virginia, Charlottesville, VA (Fall 2008)
As a Graduate Teaching Assistant, Department of Computer Science.

Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (Nov 2006 – July 2008)
As a Lecturer (full-time) in the department of Computer Science and Engineering.

Military Institute of Science and Technology, Dhaka, Bangladesh (July 2007 – July 2008)
As a Visiting Lecturer (part-time) in the department of Computer Science and Engineering.

Patents

[1] Angela Nicoara (55%), Shahriar Nirjon (35%), and Jatinder Singh (10%), "System Support for Accessing and Switching among Multiple Wireless Interfaces on Mobile Devices", Patent Application filed on November 24, 2011, published on May 6, 2012 - Buletin 2012/23, European Patent Application No. EP 2461631 A2, in Europe.

[2] Angela Nicoara (55%), Shahriar Nirjon (35%), and Jatinder Singh (10%), "System Support for Accessing and Switching among Multiple Wireless Interfaces on Mobile Devices", Patent Application filed on December 1, 2010, published on June 7, 2012, Patent Publication No. US 2012/0140651 A1, in the United States of America.

[3] Jei Liu, Gerald DeJean, Nissanka Priyantha, Yuzhe Jin, Edward Hart, and Shahriar Nirjon, "High-Sensitivity GPS Device with Directional Antenna", Patent Application Filed, Oct 2013.

Services

Media Coverage

[1] Project – Musical Heart has been spotlighted in several newspapers and online media:

  • "Teaching Old Microphones New Tricks", The Economist, Jun 2013.
  • "Exercise Music App Listens to Your Heart to Rev it Up", New Scientist, Oct 2012.
  • "DJ Meets Gym Coach with App that Keys Songs to Heart Rate", CNET, Oct 2012.
  • "Music App that Gets Your Heart Pumping During Exercise", The Times of India, Oct 2012.
  • "University Researchers Run to the Beat", Cavalier Daily, Oct 2012.
  • "There is an Exercise App that Can Control Your Heart Rate with Music", Gizmodo, Oct 2012.
  • "App Syncs Music With Heart Rate, Activity", Runner’s World, Oct 2012.
  • "The Musical Heart Keeps Workouts on Pace", Trend Hunter, Oct 2012.
  • "Musical Heart Helps You Maximize Your Workout", Ubergizmo, Oct 2012.

[2] Project – Kinsight has been spotlighted in several newspapers and online media:

  • "Kinsight Uses Kinect Sensor to Find Lost Keys and Wallets", BBC, Jun 2012.
  • "Kinect System Keeps Track of Household Objects", New Scientist, Jun 2012.
  • "Kinect System Kinsight Can Track All Items in Your House", Ubergizmo, Jun 2012.
  • "Microsoft's Kinect: Home Sensors", Cloud 9, Jun 2012.
  • "Kinsight System Means You'll Never Lose Anything Again", Mashable, Jun 2012.
  • "Never Lose Your Keys Again with the Kinsight Kinect Hack", PC World, Jun 2012.
  • "Kinsight – Using the Kinect to Track More than People", Microsoft Channel 9, Jun 2012.
  • "Kinsight for Kinect tracks household items, finds your remote", The Verge, Jun 2012.

[3] Project – Kintense has been spotlighted in several newspapers and online media:

Last Updated: July 16, 2014