Daehee (Danny) Kim: Publication

Books:

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-Dened 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

Zahra Ghausi, Brian Flores, and Nicholas Davies (Faculty advisor: Daehee Kim), "Exploring Data Science with Microsoft Materials", California State University - Stanislaus, ASPIRE/STEM-CRU Reverse Career Fair, Nov 2024.
Noah Betoshana and Isabella Zardo (Faculty advisor: Daehee Kim), "Exploring Internet of Things (IoT) for Farming, Manufacturing, and Retail Domains", California State University - Stanislaus, ASPIRE/STEM-CRU Reverse Career Fair, Nov 2024.
Jaime Suarez, Esteban Verdin, and Nina Tkachuk (Faculty advisor: Daehee Kim), "Practical Hands-on Learning of Computer Networks Towards the Profession of Cybersecurity", California State University - Stanislaus, ASPIRE/STEM-CRU Reverse Career Fair, Nov 2024.
Zahra Ghausi and Brian Flores (Faculty advisor: Daehee Kim), "Exploring Data Science with Microsoft Materials", California State University - Stanislaus, College of Science Poster Celebration, May 2024.
Crystal Saini, Noah Betoshana, and Allen Rosales (Faculty advisor: Daehee Kim), "Exploring Internet of Things (IoT) for Farming, Manufacturing, and Retail Domains", California State University - Stanislaus, College of Science Poster Celebration, May 2024.
Jaime Suarez, Esteban Verdin, and Nina Tkachuk (Faculty advisor: Daehee Kim), "Practical Hands-on Learning of Computer Networks Towards the Profession of Cybersecurity", California State University - Stanislaus, College of Science Poster Celebration, May 2024.
Christian Alameda, Joshua Gonzalez-Leon, Ray Duenas (Faculty advisor: Daehee Kim), "Case Study: Implementing a Big Data Analysis System on Cloud from User Interface to Spark Cluster", California State University - Stanislaus,College of Science Poster Celebration and ASPIRE/STEM-CRU (Accelerated STEM Pathways through Internships, Research and Engagement/STEM CareerReadyU), May 2023.
Crystal Saini, Noah Betoshana, and Allen Rosales (Faculty advisor: Daehee Kim), "Exploring Internet of Things (IoT) with Microsoft Materials", California State University - Stanislaus,College of Science Poster Celebration and ASPIRE/STEM-CRU (Accelerated STEM Pathways through Internships, Research and Engagement/STEM CareerReadyU), May 2023.
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: Marsheld CURE (Big Data Search Query Tool)", University of Wisconsin-Stevens Point, College of Letters and Science Research Symposium, May, 2017.