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20182026
most citedAI-based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities

78 citations · 101 across the 13 of their papers we have counts for

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7 papers · 1 filter

eess.SP2026

Jamming-Resilient Sparse Delay-Doppler NOMA: Unitary Precoding, Randomized Active Sets, and Superincreasing Power Allocation

Michel Kulhandjian, Hovannes Kulhandjian, Theodoros A. Tsiftsis

We propose a sparse delay-Doppler NOMA scheme resilient to intentional jamming. The transmitter places user data on a small random subset of delay-Doppler bins, spreads the result…

eess.SP2024

Delay-Doppler Domain Pulse Design for OTFS-NOMA

Michel Kulhandjian, Hovannes Kulhandjian, Gunes Karabulut Kurt +1

We address the challenge of developing an orthogonal time-frequency space (OTFS)-based non-orthogonal multiple access (NOMA) system where each user is modulated using orthogonal pu…

eess.SP2024

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data

Jinxin Liu, Petar Djukic, Michel Kulhandjian +1

We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined rang…

eess.SP2023★ 4 cited

On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels

Omer Melih Gul, Michel Kulhandjian, Burak Kantarci +3

Cyber-physical systems have recently been used in several areas (such as connected and autonomous vehicles) due to their high maneuverability. On the other hand, they are susceptib…

eess.SP2022

NOMA Computation Over Multi-Access Channels for Multimodal Sensing

Michel Kulhandjian, Gunes Karabulut Kurt, Hovannes Kulhandjian +2

An improved mean squared error (MSE) minimization solution based on eigenvector decomposition approach is conceived for wideband non-orthogonal multiple-access based computation ov…

eess.SP2019

Low-Complexity Detection for Faster-than-Nyquist Signaling based on Probabilistic Data Association

Michel Kulhandjian, Ebrahim Bedeer, Hovannes Kulhandjian +2

In this paper, we investigate the sequence estimation problem of faster-than-Nyquist (FTN) signaling as a promising approach for increasing spectral efficiency (SE) in future commu…

eess.SP2018★ 6 cited

Low-Complexity Decoder for Overloaded Uniquely Decodable Synchronous CDMA

Michel Kulhandjian, Claude D'Amours, Hovannes Kulhandjian +3

We consider the problem of designing a low-complexity decoder for antipodal uniquely decodable (UD) /errorless code sets for overloaded synchronous code-division multiple access (C…