Browsing by Author "Hamid Krim, Member"
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- Computational Methodologies for Unraveling Gene Regulation Mechanisms Underlying Iron Deficiency Response in Arabidopsis thaliana Root.(2018-08-21) Koryachko, Alexandr; Cranos Williams, Chair; Ilse Ipsen, Minor; Hamid Krim, Member; Edgar Lobaton, Member; Terri Long, Graduate School Representative
- Computational Solutions for Unravelling Gene Regulatory Mechanisms Underlying Stress Response in Living Organisms.(2021-12-03) Tong, Haonan; Cranos Williams, Chair; Edgar Lobaton, Member; Kevin Flores, Minor; Jose Alonso, Member; Hamid Krim, Member
- Driver Assistant System: Robust Segmentation based on Topological Persistent Analysis and Multi-target Tracking based on Dynamic Programming.(2014-12-17) Wei, Chunpeng; Edgar Lobaton, Chair; Wesley Snyder, Member; Hamid Krim, Member
- Efficient Network Planning and Design for Cloud, Interdependent, and UAV-assisted Networks.(2020-04-24) Hosseinalipour, Seyyedali; Huaiyu Dai, Chair; Hamid Krim, Member; Wenye Wang, Member; Do Eun, Member; Min Kang, Member
- Exploring Constrained Programming in Neural Networks through the Lens of Ordered Top-K Adversarial Attacks.(2025-03-04) Paniagua, Thomas; Tianfu Wu, Chair; Dror Baron, Member; Hamid Krim, Member; Arvind Krishna Saibaba, Member
- Fast and Robust Compressive Signal Reconstruction Via Approximate Message Passing and Denoising(2015-09-05) Tan, Jin; Dror Baron, Chair; Brian Hughes, Member; J Townsend, Member; Hamid Krim, Member; Liyi Dai, External; Min Kang, Member
- Information Spreading in Dynamic Networks.(2018-07-20) Keshava Nayak, Anuj; Huaiyu Dai, Chair; Brian Hughes, Member; Hamid Krim, Member
- Learning Spatial Attentive and Reconfigurable Generative Adversarial Networks for Image Synthesis.(2020-11-06) Sun, Wei; Tianfu Wu, Chair; Hamid Krim, Member; Edgar Lobaton, Member; Christopher Healey, Member
- Lightweight and Expressive Neural Architecture Design for Low-Shot Image Synthesis and 3D Reconstruction.(2024-05-06) Shen, Jianghao; Tianfu Wu, Chair; Edgar Lobaton, Member; Hamid Krim, Member; Christopher Healey, Member
- Mapping with Biobotic Insect Networks: A Geometric Estimation and Topological Data Analysis Framework.(2016-09-06) Dirafzoon, Alireza; Edgar Lobaton, Chair; Hamid Krim, Member; Alper Bozkurt, Member; Radmila Sazdanovic, Member
- Neural Architectures Design and Search for Deep Learning and Continual Learning.(2020-03-20) Li, Xilai; Tianfu Wu, Chair; Edgar Lobaton, Member; Hamid Krim, Member; Luo Xiao, Member; Luo Xiao, Graduate School Representative
- On Applications of Optimization Techniques in UAV Communication, Resource Allocation, and Adversarial Attacks.(2021-04-29) Rahmati, Ali; Huaiyu Dai, Co-Chair; Ismail Guvenc, Co-Chair; Alexandra Duel-Hallen, Member; Hamid Krim, Member; Anupam Das, Graduate School Representative
- On the Role of Deep Learning and LEO Satellite Communication Signals for Vehicular Positioning in Urban Canyons.(2025-04-28) Bibhor Kumar, FNU; Nuria Gonzalez Prelcic, Chair; Robert Heath, Member; Hamid Krim, Member
- Robust Coding Methods For Space-Time Wireless Communications(2002-01-17) Hong, Zhihong; Brian L. Hughes, Chair; Hamid Krim, Member; Don L. Ridgeway, Member; J. Keith Townsend, MemberSpace-time coding can exploit the presence of multiple transmit and receive antennasto increase diversity, spectral efficiency, and received power, to improvethe performance in wireless communication systems. Thus far, most work on space-time coding has assumed highly idealized channel fading conditions (e.g., quasi-static or ideal fast fading)as well as perfect channel state information at the receiver. Both of these assumptionsare often questionable in practice. In this dissertation, we present a new and general coding architecture for multi-antennacommunications, which is designed to perform well under a wide variety of channel fading conditionsand which (when differentially encoded) does not require accurate channel estimatesat the receiver. The architecture combines serial concatenation of short, full-diversityspace-time block codes with bit-interleaved coded modulation. Under slow fadingconditions, we show that codes constructed in this way achieve full diversity and perform close to the best known space-time trellis codes of comparable complexity. Under fast fading conditions, we show that these same codes can achieve higher diversity than all previously knowncodes of the same complexity. When used with differential space-time modulation, thesecodes can be reliably detected with or without channel estimates at the transmitter or receiver. Moreover, when iterative decoding is applied, the performance of these codes couldbe further improved.
- Robust Image Segmentation: Applications to Autonomous Car and Foraminifera Morphology Identification.(2019-07-19) Ge, Qian; Edgar Lobaton, Chair; Hamid Krim, Member; Wesley Snyder, Member; Radmila Sazdanovic, Member
- Towards Robust Camera-based 3D Object Detection by Learning Robust 2D-to-3D and 3D-to-2D Representations.(2023-12-20) Liu, Xianpeng; Tianfu Wu, Chair; Edgar Lobaton, Member; Hamid Krim, Member; Xu Xu, Member
- A Unified Nano-Satellite Sensing Architecture for Orientation, Docking, and Whole-Sky Imaging.(2012-06-04) Miller, Samuel Aaron; Edward Grant, Chair; John Muth, Member; Hamid Krim, Member; Andre Mazzoleni, Member; Stephen Horan, External
- Wireless Detection, Localization and Tracking of Unmanned Aerial Vehicles.(2022-10-28) Sinha, Priyanka; Ismail Guvenc, Chair; Min Kang, Minor; Huaiyu Dai, Member; Hamid Krim, Member
