Dissertations/ Others

Dissertations

Ph.D. Dissertations
  1. Jusung Kang, “Radio Frequency Fingerprinting: Deep Learning-based Approaches,” Ph.D. dissertation, Aug. 2024. (pdf)
  2. Cheolsun Kim, “Computational Spectrometers Based on Multilayer Thin Films,” Ph.D. dissertation, Feb. 2022. (pdf)
  3. Je-Hyuk Jang, “Researches on Wideband Sensing and Security of Blockchains,” Ph.D. dissertation, Aug. 2021. (pdf)
  4. Pavel Ni, “Ultrasound Medical Imaging: A Novel Super-Resolution Imaging Technique Utilizing Random Interference,” Ph.D. dissertation, Feb. 2021. (pdf) (GitHub) (Files)
  5. Mohamed Yaseen Jabarulla, “Advancements in Medical Image Processing Techniques: From Computerized Diagnosis to Blockchain,” Ph.D. dissertation, Aug. 2020. (pdf)
  6. Seungchan Lee, ” EEG/fNIRS Multimodal Hybrid Brain Monitoring System : Instrument Design and Practical Implementation,” Ph.D. dissertation, Feb. 2020. (pdf)
  7. Sungjun Park, “Compressed Sensing for Support Set Reconstruction :Information-Theoretic Results and Design of Practical Algorithm,” Ph.D. dissertation, Aug. 2019. (pdf)
  8. Woong-Bi Lee, “Compressed sensing and its applications: Computational compound eyes and compressive spectrometers,” Ph.D. dissertation, Aug. 2018. (pdf)
  9. Asif, “Adaptive Spectrum Sharing in TV white Spaces,”  Ph.D. dissertation, Feb. 2018. (pdf)
  10. Zafar Iqbal, “Cooperation and Decision-making Strategies for Harsh Communication Environments,” Ph.D., Aug. 2017. (pdf)
  11. Younghak Shin, “Robust Sparse Representation based Classification Scheme for Non-stationary EEG Signal Classification,” Ph.D. dissertation, Feb. 2016. (web page)
  12. Hwanchol Jang, “Estimation and Detection of Signals through Turbid Channels: Compressed Sensing and Sphere Decoding,” Ph.D. dissertation, Aug. 2015. (pdf)
  13. Jin-Taek Seong, “Inverse Problems of Compressed Sensing and Cooperative Networks over Finite Fields,” Ph.D. dissertation, Aug. 2014. (pdf)
Master’s Theses
  1. Jioh Lee, “Development of Deep Learning Based Computational Hyperspectral Camera Using Microlens Array and Multilayer Thin Films,” Master’s thesis, Feb. 2025. (pdf)
  2. Youngin Choi, “Hyperspectral Face Dataset Augmentation for Enhancing Face Recognition System Performance,” Master’s thesis, Aug. 2024. (pdf)
  3. Hyeong-Ju Kim, “Research and application for digital signature algorithms in blockchain with quantum resistance,” Master’s thesis, Feb. 2024. (pdf)
  4. Yesuilen Gulugdemberel, “Decentralized Herding: Improving Semi-Nomadic Livestock Supply Chain through Blockchain,” Master’s thesis, Feb. 2024. (pdf)
  5. Ha-young Park, “Dynamic Constant Product Market Maker Using Cryptocurrency Price Prediction Based on Deep Learning,” Master’s thesis, Aug. 2022. (pdf)
  6. Hyoungsung Kim, “Error Correction Code Based Proof-of-Work on Ethereum,” Master’s thesis, Feb. 2021. (pdf)
  7. Changyun Lee, “Radio Frequency Fingerprinting System Based on Model Extension With Outlier detection,” Master’s thesis, Feb. 2020. (pdf)
  8. Giljun Jung, “MyData Blockchain,” Master’s thesis, Aug. 2019. (pdf)
  9. Kiwon Yang, “Digital Walkie-TAlkie Identification scheme based on Sparse Representation with Multiple features,” Master’s thesis, Feb. 2019. (pdf) (ppt)
  10. Hyunjun Han, “Learning Through Experience. A Self-learning Collision Avoidance System,” Master’s thesis, Feb. 2018. (pdf)
  11. Jeong Park,“A Radar Electronic Surveillance System Using a Sub-Nyquist Receiver,” Master’s thesis, Feb. 2018. (pdf)
  12. Mohamed Yaseen Jabarulla,“Ultrasound Imaging Super Resolution via Compressive Sensing,” Master’s thesis, Feb. 2016. (pdf)
  13.  Seungyun Choe, “A Quick and Easy Brain-Computer Interface Speller System for Android Mobile Application,” Master’s thesis, Feb. 2016. (pdf) (ppt)
  14. Haeung Choi, “Belief Propagation based Compressive Sensing Recovery Method in the Sparse Weighted Graph,” Master’s thesis, Aug. 2015. (pdf)
  15. Hyeongho Baek, “Application of Compressive Sensing Theory in UWB Communication using AMP Recovery Algorithm,” Master’s thesis, Feb. 2014. (pdf)
  16. Soogil Woo, “Secret Brain to Brain Communication via Wireless Brain Computer Interface System,” Master’s thesis, Feb. 2014. (pdf)
  17. Jaegun Choi, “Compressive sensing and its application in wireless sensor network & correlated signal recovery method,” Master’s thesis, Feb. 2013. (pdf)
  18. Su-Je Lee, “Parity check codes and their application to wireless communications : Fundamental limits and simulation results,” Master’s thesis, Feb. 2012. (pdf)
  19. Hyeong-Won Jeon, “Network Coding for Multiple Sensor Networks on Underwater Acoustic Channels,” Master’s thesis, Feb. 2012. (pdf)
Bachelor’s Theses
  1. Minho Yoon, “Survey on Evaluation Metrics for Blockchain Layer 2 Solutions,” Bachelor’s thesis, Feb. 2025.
  2. Gyeongdeok Mang, “WorldLand: Truly Decentralized Blockchain,” Bachelor’s thesis, Aug. 2024.
  3. Surin Lee, “Research on Improving Legal AI Performance Based on the DPO Algorithm,” Bachelor’s thesis, Aug. 2024.
  4. Seokju Kim, “Understanding blockchain technology and Applications: A review,” Bachelor’s thesis, Aug. 2019. (pdf)

Others

Open Proposal
  1. Heung-No Lee et. al., “WorldLand,” an academic grants proposal sent to the Ethereum Foundation, May 8th, 2022. (pdf) (IPFS link)
Books/Book Chapters
  1. A. Kumar, B. Kuldeep, I . Sharma, and G. K. Singh, H.-N. Lee,  “Advances in Multirate Filterbanks: a  research survey”, Advances in Multirate Systems, Springer
  2. B. Kuldeep,  A. Kumar and G. K. Singh, H.-N. Lee, “Design of Multi-channel Filterbank using Minor Component Analysis and Fractional derivative Constraints”, Advances in Multirate Systems, Springer
  3. A. Vishawkarma, A. Kumar and H.-N. Lee, “Design of Non-uniform Linear-Phase Transmultiplexer System for  Communication”,  Advances in Multirate Systems, Springer
  4. Soogil Woo, Seungchan Lee, Younghak Shin, Heung-No Lee, Review of Applications for Wireless Brain-Computer Interface systems, Emerging Theory and Practice in Neuroprosthetics, IGI Global, Pennsylvania, U.S.A., 2014, (Do-yak Project).(sample pdf)
  5. Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee, A Review of Wireless Brain-Computer Interface systems, Brain-Computer Interface – Recent Progress and Future Prospects, Chapter 11, InTech Europe, Rijeka, Croatia, June 2013, (Do-yak Project). (pdf) (3000 download proof)
  6. Jae-Gun Choi, Sang-Jun Park, and Heung-No Lee, Intelligent Sensor Networks: Across Sensing, Signal Processing, and Machine Learning (Chapter 15), Taylor & Francis LLC, CRC Press, 2012. (pdf)
  7. Heung-No Lee, Adaptive Wireless Transceivers, Lambert Academic Publishing, ISBN 978-3-8383-1889-9, Saarbrücken, Germany, 2010.
  8. Heung-No Lee, Adaptive Diversity Combining, Equalization, and Sequence Decoding, Ph.D. Dissertation, UCLA, 1999.
Technical Reports
  1. Sumaiia, Seungmin Kim and Heung-No Lee “Comprehensive Analysis of Babylon” 2024 G-Surf Report. (pdf) 
  2. Im Su-Whan, “Blockchain E-Voting Schemes,” 2020 G-Surf Report. (pdf) 
  3. Jun-Ho Lee, Hyung-U Song and Heung-No Lee, “A New Framework for Sensor Networks via Compressive Sensing (Study) “, 2009. (pdf)
  4. Sangjun Park and Heung-No Lee, “Proofs for Number of Compressed Measurements Needed for Noisy Distributed Compressed Sensing”, (pdf).