Helen Gebre-Amlak, iPh.D.     Instructor Dept. Computer Science & Electrical Engineering Email: hhgc77(at)umkc(dot)edu 450B Flarsheim Hall Room, 5110 Rockhill Road Kansas City, Missouri 64110.

Biography
iPh.D. Computer Networking and Communications Systems & Economics, University of Missouri - Kansas City, 2018
M.A. Telecommunication Management, Webster Univeristy, Kansas City
M.B.A. Information Systems, Washburn University, Topeka, Kansas
B.Sci. Economics and computer science, University of Kansas, Lawrence, Kansas

Research Interest
My research interests include campus network traffic/performance analysis and modeling, software-defined network, wireless sensors, Internet of Things(IoT), reliable network, Machine Learning & Artificial Intelligence (AI) and Big Data.

Current/Recent Course:
 

CS191: Discrete Structures-I, Fall 2019.
    Undergraduate Credits: 3
    Tuesday & Thursday: 7:00 - 8:15 PM
  
CS5110: Network Architecture I, Fall 2016.
Graduate Credits: 3
Tuesday & Thursday 2:30 - 3:45 PM

 

Publications

• International Conferences/Workshops
• Conference Publication
  • Haymanot Gebre-Amlak, Hoang (Mark) Nguyen, Jesse Lowe, Ala-Addin Nabulsi, and Narisa Chu,  “Spatial Correlation Preserving EEG Dimensionality Reduction Using Machine Learning” IEEE International Conference on Bioinformatic and Biomedicine ( BIBM 2018), Madrid, Spain, December 2018
  • Haymanot Gebre-Amlak, Md Tajul Islam, Daniel Cummins, Mohammed Al Mansoori and Baek-Young Choi,  “Protocol Heterogeneity Issues of Incremental High-Density Wi-Fi Deployment” The 16th International Conference on Wired/Wireless Internet Communications ( IFIP WWIC), Boston, USA, June 2018
  • Haymanot Gebre-Amlak, Goutham Banala, Baek-Young Choi, Taesang Choiz , Henry Zhu and Sejun Song “TARMan: Topology-Aware Reliability Management for Softwarized Network Systems” The 23rd IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN17), Osaka, Japan, June 2017
  • Sejun Song, Hyungbae Park, Haymanot Gebre-Amlak, Goutham Banala, Baek-Young Choi, Taesang Choiz and Henry Zhu “User-centric Adaptive Traffic Management Framework and Algorithms for Softwareization Networks” The 3rd International Conference on Network Softwarization (NetSoft'17), Bologna, Italy, July 2017
  • Haymanot Gebre-Amlak, Seoungjin Lee, Abdoh M. A. Jabbari, Yu Cheny, Baek-Young Choi, Chin-Tser Huangz, and Sejun Song, “MIST: Mobility-Inspired SofTware-Defined Fog System,” The 12th International Conference on Consumer Electronics (ICCE'17), Las Vegas, NV, USA, January 2017
  • Hyungbae Park, Haymanot Gebre-Amlak, Baek-Young Choi, and Sejun Song “Understanding university campus network reliability characteristics using a big data analytics tool,” The 11th IEEE International Conference on Design of Reliable Communication Networks (DRCN), 2015, Kansas City, MO, March 2015
• Journal Publication
  
  • Haymanot Gebre-Amlak, Abdoh M. A. Jabbari, Yu Cheny, Baek-Young Choi, Chin-Tser Huangz, and Sejun Song "Agile Polymorphic Software-Defined Fog Computing Platform for Mobile Wireless Controllers and Sensors” International Journal of Internet Technology and Secured Transactions:Cloud Computing, Big Data and Data Science, December  2019
• Research in Progress
• Cost of Unplanned Network Failure
  
  •  Haymanot Gebre-Amlak, Sejun Song, and Baek-Young Choi "Unplanned Network Outage and SLAVerification"
• Big Data/Machine Learning
  • Haymanot Gebre-Amlak, Kassatihun Gebre-Amlak, "Can We Predict Fluid Intelligence Response to Training" - Using UCSF sensor data from multi-task training
• Smart Cities
  • Haymanot Gebre-Amlak, Kaushik Ayinala, "Traveling Salesman Problemg Approach to Pothole issue" - Using Kansas City 311 Data

• Posters/Extended abstracts
• Haymanot Gebre-Amlak, Seoungjin Lee, Abdoh M. A. Jabbari, Baek-Young Choi, and Sejun Song, “Toward an Energy Efficient Cooperative Software - Defined Sensor System,” The 2nd IEEE International Conference on Network Softwarization (NetSoft16) Student Poster Session, Seoul, Korea, June 2016
• Haymanot Gebre-Amlak, Seoungjin Lee, Abdoh M. A. Jabbari, Baek-Young Choi, and Sejun Song, “Toward an Energy Efficient Cooperative Software - Defined Sensor System,” The 2nd IEEE SMARTCOMP (SMARTCOMP16) Student Poster Session, St. Louis, MO, USA, May 2016
• Haymanot Gebre-Amlak, Seoungjin Lee, Abdoh M. A. Jabbari, Yu Cheny, Baek-Young Choi, Chin-Tser Huangz, and Sejun Song, “Toward an Energy Efficient Cooperative Software - Defined Sensor System,” TheThe 9th Central Area Networking and Security Workshop (CANSec 2016), University of Central Missouri, Warrensburg, MO, April 2016
• Hyungbae Park, Haymanot Gebre-Amlak, Baek-Young Choi, and Sejun Song “Understanding University Campus Network Reliability Characteristics using a Big Data Analytics Tool,” MINKWIC, University of Missouri-Kansas City, Kansas City, MO, October 2015

• Competitions
• IIEEE Hackathon at IEEE Big Data Governance and Metadata and Management Workshop 2018 – Team Brain Insight, Seattle, Washington, USA, December 2018,(First Place Winner)
• IEEE Brain Data Bank 2018, "Machine Learning Approach for Cognitive Control Enhancement Training Analysis", IEEE Brain Data Bank 2018, Xi’an, China, July, 2018, (Second Place Winner)
• IEEE Brain Data Bank 2017, "Can We Predict Fluid Intelligence Response to Training", Boston MA, December 2017
• Understanding Big Data 2016, Early Career Big Data Summit, University of North Dakota, Grand Forks, ND, April. 2016
• Big Data Hackathon, Fall 2016, Docker Container Hosting on Google Cloud, Team Kangaroo, 2016.

• Talks
• "Spatial Correlation Preserving EEG Dimensionality Reduction Using Machine Learning" The 1st International Workshop on Machine Learning for EEG Signal Processing in conjunction with The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, Madrid, Spain, December 2018
• "Protocol Heterogeneity Issues of Incremental High-Density Wi-Fi Deployment" The 16th International Conference on Wired/Wireless Internet Communications (IFIP WWIC), Boston, USA, June 2018
• "Machine Learning Approach for Cognitive Control Enhancement Training Analysis", IEEE Brain Data Bank 2018, Xi’an, China, July 2018
• "Can We Predict Fluid Intelligence Response to Training", IEEE Brain Data Bank Challenge 2017, Boston MA, December 2017
• "Sensors in Software Defined Network", Bahir Dar University, Bahir Dar, Ethiopia, July 2017
• "MIST: Mobility-Inspired SofTware-Defined Fog System", The 12th International Conference on Consumer Electronics (ICCE’17), Las Vegas, NV, USA, Jan. 2017
• "NetAware: Network Architecture-Aware Reliability Management Schemes for Softwarized Network Systems", The 10th Central Area Networking and Security Workshop (CANSec 2016), Fontbonne University, St. Louis, MO, October 2016
• "Structure of Network Architecture", Bahir Dar University, Bahir Dar, Ethiopia, July 2016
• "Understanding University Campus Network Reliability Characteristics using a Big Data Analytic Tool", UND Early Career Big Data Summit, University of North Dakota, Grand Forks, ND, April. 2016
• "Understanding University Campus Network Reliability characteristics using a Big data Analytic Tool", The 11th IEEE International Conference on Design of Reliable Communication Networks (DRCN), 2015, Kansas City, MO, March 2015

Work Experience

• Industry Work Experience
• Senior Application Developer, Sprint, Overland Park, Kansas, Present
• Senior Software Engineer, Level 3 Communications, Littleton, Colorado, 2014 - 2018
• Senior Software Engineer, Twtelecom, Littleton, Colorado, 2010 - 2014
• Senior Application Developer, Sprint, Overland Park, Kansas, 2006 - 2009
Academia Work Experience
• Instructor of Network Architecture I, Graduate, UMKC, Kansas City, Missouri, Fall, 2016
• Instructor of Discrete Structures Deficiency, Graduate, UMKC, Kansas City, Missouri, Spring 2016
• TA of Network Architecture I, Graduate, UMKC, Kansas City, Missouri, Spring 2016
• TA of Network Architecture I, Graduate, UMKC, Kansas City, Missouri, Spring & Fall, 2015
• TA of Cloud Computing, Graduate, UMKC, Kansas City, Missouri, Fall, 2015
• Principles of Microeconomics, Undergraduate, Webster University, Kansas City, Missouri, Fall, 2010

 

• Awards and Honor
• Outstanding Ph.D. Student Award (University of Missouri-Kansas City)
• - Telecommunications & Computer Networking, Discipline, 2017
• Travel Grant Award, IEEE grant, The EEE Brain DataBank, December 2017
• Travel Grant Award, IEEE grant, The ICCE, January. 2017
• Travel Grant Award, The SMARTCOMP, May. 2016
• Travel Grant Award, The Big Data Summit, UND, April 2016
• Best Graduate Poster Award, The MINKWIC, October. 2015

•  Membership
• IEEE Student
• IEEE ComSoc
• N2Women

 

• Computer Skill
• Programming: Perl, Python, and Java, Matlab, Sensor and Applications
• OS: Linux, Unix, Microsoft Windows (NT, 2000, XP, CE), CenOS, Debian
• Network Router and Switches: Cisco Router and Cisco Switches
• Database: Oracle, Vertica, MySQL, DB2
• Misc.: BCI/EEG, Splunk, SUMO, and Unity

 

 

Last Modified: Saturday, 4 April 2020 in Kansas, USA.