Books:
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Daehee Kim, Sejun Song, Baek-Young Choi, "Data Deduplication for Data Optimization for Storage
and Network Systems", Springer Book, ISBN: 9783319422787, DOI: 10.1007/978-3-319-42280-0, 2016,
Book Link
Journals:
- Daehee Kim, Sejun Song, Baek-Young Choi, "BEAM: Branch-based Efficient and Adaptive Multicast for Wireless Sensor Networks", International Journal of Sensor Networks, DOI: 10.1504/IJSNET.2015.10001256, 2017.
- Daehee Kim, Sejun Song, Baek-Young Choi, "EAGER: Energy-Efficient Adaptive Geo-Source Multicast Routing for Wireless Sensor Networks", Journal of Sensors, Vol. 2013, Article ID 142078, DOI:10.1155/2013/142078, 2013.
Conference/Workshops:
- Daehee Kim, Stephanie Gamboa, Vanessa Hernandez, Marlen Martinez-Lopez, Scott J Hebbring, John Mayer, Jamie Fox, "Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases", IEEE International Conference on Communications (ICC), Pages:1-6, DOI:10.1109/ICC42927.2021.9500497, Montreal, Canada, June 2021. [ Paper | Presentation | Video ]
- Sejun Song, Baek-Young Choi, Daehee Kim, "Selective Encryption and Component-Oriented Deduplication for Mobile Cloud Data Computing", IEEE International Conference on Computing, Networking and Communications (ICNC), Hawaii, USA, February 2016.
- Sejun Song, Daehee Kim, Hyungbae Park, Baek-Young Choi, Taesang Choi, "CO-REDUCE: Collaborative Redundancy Reduction Service in Software-De ned Networks", ACM SIGCOMM HotMiddleBox, London, UK, August 2015.
- Daehee Kim, Sejun Song, Baek-Young Choi, "APCP: Adaptive Path Control Protocol for Efficient Branch-based Multicast Routing in Wireless Sensor Networks", IEEE 10th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Hawaii, USA, December 2014.
- Daehee Kim, Sejun Song, Baek-Young Choi, "SAFE: Structure-Aware File and Email Deduplication for Cloud-based Storage Systems", IEEE 2nd International Conference on Cloud Networking (CloudNet), San Francisco, USA, November 2013.
- Daehee Kim, Baek-Young Choi, "HEDS: Hybrid De-duplication Approach for Email Servers", IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Phuket, Thailand, July 2012.
- Sejun Song, Baek-Young Choi, Daehee Kim, "MR.BIN: Multicast Routing with Branch Information Nodes for Wireless Sensor Networks", IEEE 19th International Conference on Computer Communications and Networks (ICCCN), Zurich, Switzerland, August 2010.
- Sejun Song, Daehee Kim, Baek-Young Choi, "AGSMR: Adaptive Geo-Source Multicast Routing for Wireless Sensor Networks", International conference on Wireless Algorithms, Systems and Applications (WASA), Boston, MA, 2009.
Posters:
- Daehee Kim, Sejun Song, "Efficient Big Data Transfer Service (BigDTS) using Data Oriented Forwarding", IEEE 2nd Conference on Network Softwarization (NetSoft), Seoul, Korea, June 2016.
Student Posters & Presentations
- Aristan Galindo, Sumedha Chand (Faculty advisor: Daehee Kim), "Efficient Visualization of Big Data Analysis using Shiny Application", California State University - Stanislaus, Science in Our Community, Science Week, April, 2022.
- Brittany Castaneda, Jerynne Mae Cenario (Faculty advisor: Daehee Kim), "Artificial Intelligence Robot Programming with Cozmo", California State University - Stanislaus, Science in Our Community, Science Week, April, 2022.
- Crystal Saini, Jesus Gonzalez (Faculty advisor: Daehee Kim), "Implementing Smart Farm Prototype with Internet of Things", RISE (Research and Immersion for STEM Excellence), May, 2021.
- Jashandeep Singh, Jorge Hernandez Ortega (Faculty advisor: Daehee Kim), "Implementing Smart Farm Prototype with Internet of Things", California State University - Stanislaus, College of Science Poster Celebration, May, 2021.
- Marlen Martinez-Lopez (Faculty advisor: Daehee Kim), "Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases", LSAMP (Louis Stokes Alliance for Minority Participation in Science, Engineering, Mathematics, and Technology), May, 2021.
- Jaimit James (Faculty advisor: Daehee Kim), "Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases", California State University - Stanislaus, College of Science Poster Celebration and RISE (Research and Immersion for STEM Excellence), May, 2021.
- Christopher Todd (Faculty advisor: Daehee Kim), "Game Development in Unity using Oculus Quest VR", California State University - Stanislaus, College of Science Poster Celebration, May, 2020.
- Jashandeep Singh, Samir Espinoza, Corey Edh, Jorge Hernandez Ortega (Faculty advisor: Daehee Kim), "Smart Home using Internet of Things (IoT)", California State University - Stanislaus, College of Science Poster Celebration, May, 2020.
- Marlen Martinez Lopez (Faculty advisor: Daehee Kim), "Exploring Effcient Visualization of Big Data using R Shiny Application", California State University - Stanislaus, College of Science Poster Celebration, May, 2020.
- Nikolai-Iraj Sanamrad, Giancarlo Garcia Deleon, Deep Gill (Faculty advisor: Daehee Kim), "Efficient Visualization of Medical Big Data Using R Shiny Application", California State University - Stanislaus, College of Science Poster Celebration, May, 2019.
- Brian Eam, John Rabang (Faculty advisor: Daehee Kim), "Analysis of Data Privacy and Security in Commercial DJI Dronesn", California State University - Stanislaus, College of Science Poster Celebration, May, 2019.
- Krista Hepler, Marlen Martinez-Lopez, Gabriel Medina, Vanessa Hernandez, Stephanie Gamboa, Clark Xiong, John Rabang (Faculty advisor: Daehee Kim), "Introducing Artificial Intelligence through Robot Programming at K-12 level", California State University - Stanislaus, College of Science Poster Celebration, May, 2019.
- Andres Perez (Faculty advisor: Daehee Kim), "Analyzing Ransomware Attacks and Exploring Methods of Prevention", California State University - Stanislaus, College of Science Poster Celebration, May, 2019.
- Daniel Cronce, Joshua Krueger, Samuel Elzinga (Faculty advisor: Daehee Kim), "Cerberus: Centralized Authentication Service", University of Wisconsin-Stevens Point, College of Letters and Science Research Symposium, May, 2016.
- Chase Jaime, Joseph Wilson, Jack Cooke (Faculty advisor: Daehee Kim), "UWSP Ease of Hours", University of Wisconsin-Stevens Point, College of Letters and Science Research Symposium, May, 2016.
- Mark Newby, Jeanna VanLinn, Daniel Cronce, (Faculty advisor: Daehee Kim), "Medical Big Data Analysis based on High Speed Spark Cluster: Marsh eld CURE (Big Data Search Query Tool)", University of Wisconsin-Stevens Point, College of Letters and Science Research Symposium, May, 2017.