1. Jinseok Yang www.linkedin.com/in/jiy011
9500 Gilman drive, CSE building, 2148, CA, 92093, Email: jiy011@eng.ucsd.edu, MP:858-750-8111
OBJECTIVE A position focused on software development and data analysis
EDUCATION University of California, San Diego, Electrical and Computer Engineering
– Research associate, System Energy Efficiency Lab (2015.Dec-Present)
– Ph.D, System Energy Efficiency Lab (2011-2015.Dec)
Advisor: Tajana Simunic Rosing
– M.S. Communication Theory and Systems (2009-2011)
Ajou University, Suwon, South Korea - Information technology and computer
– M.S. Computer Science (2006-2008)
– B.S. Information technology and Computer Science (1999-2006)
RESEARCH
EXPERIENCE
Embedded system development and testing, 2016,1-2 UC San Diego
– Modeled, tested and measured a novel strategy for transmitting heterogeneous
sensor data (both kernel module and application)
– Enhanced Raspberry PI2 with a set of sensors and actuators on both HW and
SW levels
– Designed embedded process scheduling techniques interfacing with kernel level
capable of meeting real-time deadlines while ensuring energy-efficient operation
– Implemented automated system testing and optimization tools
– Benchmarked all key embedded system components
– Developed tools and infrastructure for a project in a graduate level course at
UCSD, cse237a, titled ”Introduction to Embedded Systems”
Optimal & distributed transmission manager,2014.1-2015,12 UC San Diego
– Designed, implemented and characterized a transmission manager capable of se-
lecting an optimal time instance for single hop transmission (OptTM) [C1]
– Measurements show that distributed transmission manager is 148% more energy-
efficient than the state of the art, while ensuring key data deadlines are met [J1]
– Project collaboration and funding from Intel, TI and Terraswarm
Novel embedded adaptive power management framework, 2013 UC San Diego
– Modeled and evaluated an adaptive algorithm that managing power in embedded
sensing systems [C0][C2]
– Developed and tested battery models for underwater scenarios
– Proposed approach saves 20% to 60% of energy consumption compared to the
state of the art approaches
– Collaboration with Scrips Institute for Oceanography, and CalIT2
Dynamic task allocation for wireless healthcare applications,2012 UC San
Diego
– Task allocation over sensors, mobile phone and server based on Zigbee commu-
nication cost, processing cost and task characteristics [J2]
– Tested in patient trials jointly with UCSD School for Preventative Medicine via
NIH funding
Extreme data compression and controlled error recovery,2013 UC San Diego
– Latent variable technique used to represent real data in dramatically compressed
version while controlling recovery error by leveraging spatio-temporal correlations
between heterogeneous sensors in space and time [C3]
– Measured and quantified benefits with large scale environmental sensor network
data covering all of California; showed that latent variable compressed data by
80% with less than 5% reconstruction error
– International collaboration with University of Bologna and ETH
Intelligent data dissemination in congested scenarios,2012 UC San Diego
– Designed and experimented a very low overhead method for delivering user rele-
vant data in highly congested scenarios [C4]
– Modeled congestion as flow, implemented and tested in QualNet
– Approach guarantees by a factor of 2x power savings as compared to the state of
the art, while ensuring reliable data delivery

2. Model-driven adaptive sensing,2011,6-10 UC San Diego
– Developed and tested a highly scalable and energy-efficient method for providing
accurate sensed data feedback to users in environmental healthcare scenarios [C5]
– Implemented an optimized machine learning algorithm on mobile devices capable
of intelligent interaction with the cloud
– Reducing the number of messages sent by 85% with negligible error for the ap-
plication of interest
– Successful patient trials undertaken with collaboration of UCSD School of Pre-
ventative Medicine
SmartHome with EnOcean platform Summer intern 2012, LG electronics
– IndoorH: optimally assign energy to EnOcean Platform based on current battery
level and indoor energy harvesting level
– Implement device driver with C that operates on EnOcean platform
Routing protocol in wireless ad hoc network,2007 Ajou University
– Establish energy aware multi-pathes based on battery level [C6]
PUBLICATIONS – [J1] Jinseok Yang, A.S. Akyurek, S. Tilak, T. S. Rosing, Design of transmission
manager in heterogeneous WSNs, submitted to IEEE Transactions on Emerging
Topics in Computing, 2015
– [J2] P. Aghera, Jinseok Yang, P. Zappi, D. Krishnaswamy, A. Coskun, T. S.
Rosing, Energy management in wireless mobile systems using dynamic task allo-
cation, Journal of Low Power Electronics, 2013
– [C0] Jinseok Yang, S. Tilak, T,S, Rosing, An Interactive Context-aware Power
Management Technique for Optimizing Sensor Network Lifetime, SENSORNETS
2016 (candidate to best student award)
– [C1] Jinseok Yang, S. Tilak, T,S, Rosing, Transmission manager in heterogeneous
applications running WSNs, IEEE Globecom 2015
– [C2] Jinseok Yang, S. Tilak, T,S, Rosing, Leveraging application constext for
efficient sensing, IEEE ISSNIP, 2014
– [C3] B. Milosevic, Jinseok Yang, N. Verma, S. Tilak, P. Zappi, E. Farella, T.
S. Rosing, L. Benini, Efficient Energy Management and Data Recovery in Sen-
sor Networks using Latent Variables Based Tensor Factorization, IEEE/ACM
MSWiM, 2013
– [C4] Jinseok Yang, S. Tilak, T,S, Rosing, A novel protocol for adaptive broad-
casting of sensor data in urban scenarios, IEEE GlobeCom, 2013
– [C5] N. Nikzad, Jinseok Yang, P. Zappi, T. S. Rosing, and D. Krishnaswamy,
Model-driven Adaptive Wireless Sensing for Environmental Healthcare Feedback
Systems, IEEE ICC, 2012
– [C6] Jinseok Yang, K. Kang, Y. Cho, S.Chae, ”PAMP: Power-Aware Multi-Path
Routing Protocol for a Wireless Ad Hoc Network,” in IEEE WCNC, 2008
SKILLS Languages: C/C++, Python, Assembly, C# with .NET, JavaScript, HTML
Software: Matlab, libFM, libSVM, ns3, QualNet, Visual Studio, R, tcpdump, Linux,
Windows, gdb
Areas of Knowledge: Control theory, Wireless protocols (Bluetooth, Zigbee, WLAN,
3GPP, LTE), Algorithm, Data structure, Computer Architecture, OS, System program-
ming, Markov Decision Process, Statistics, Digital communication, Linux Kernel
TEACHING
ASSISTANT
Quantative Computer Skills: Teach True Basic, 2009 Fall - 2011 Winter, UC San
Diego
Introduction to Computer Engineering: Teach assembly, logic design and computer
architecture, 2011 Spring, UC San Diego
Embedded system & system programming: Implement device driver for WLAN, LCD
and LED in PXA255 based training embedded system, 2007-2008, Ajou University
AWARDS AND
SOCIETIES
2013 National KUSCO-KSEA scholarship award
2011-2013 Executive member Korean Science and Engineering Association (KSEA)
2012-2013 President KGSA
2011-2012 Vice President Korean Graduate Student Association (KGSA)