activity
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

collaborators

15 papers

quant-ph2026

Singer-Difference-Set Qudit Stabilizer Codes from Non-Degenerate Quadrics in PG(d,q)PG(d,q): Construction, Structural Theorems, and Monte-Carlo Performance

Michel Kulhandjian, Lajos Hanzo

We propose Q(q,d), a family of q-ary non-CSS qudit stabilizer codes with prime power q and dimension d >= 2, constructed from Singer difference sets and non-degenerate quadrics in…

math.CO2026

An explicit half-flip family of 32-modular Hadamard matrices at L = 3 mod 8: structural placement and mod-tower analysis

Michel Kulhandjian

Motivated by Eliahou's 64-modular Hadamard construction at the smallest open Hadamard order n=668, we introduce an explicit half-flip family of 32-modular Hadamard matrices at orde…

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…

cs.CR2024★ 4 cited

The impact of mobility, beam sweeping and smart jammers on security vulnerabilities of 5G cells

Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini +3

The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a mu…

cs.SD2024★ 78 cited

AI-based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities

Narek Papyan, Michel Kulhandjian, Hovannes Kulhandjian +1

In this survey we are focusing on utilizing drone-based systems for the detection of individuals, particularly by identifying human screams and other distress signals. This study h…

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…

cs.CR2024

Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions

Mohammadreza Amini, Ghazal Asemian, Michel Kulhandjian +3

Wireless networks can be vulnerable to radio jamming attacks. The quality of service under a jamming attack is not guaranteed and the service requirements such as reliability, late…

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…

cs.IT2022

Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems

Goldwyn Millar, Michel Kulhandjian, Ayse Alaca +3

NOMA) technique based on an algebraic design is studied. We propose an improved low-density spreading (LDS) sequence design based on projective geometry. In terms of its bit error…

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…

cs.IT2019★ 9 cited

Uniquely Decodable Ternary Codes for Synchronous CDMA Systems

Michel Kulhandjian, Claude D'Amours, Hovannes Kulhandjian

In this paper, we consider the problem of recursively designing uniquely decodable ternary code sets for highly overloaded synchronous code-division multiple-access (CDMA) systems.…

cs.IT2019

Fast Decoder for Overloaded Uniquely Decodable Synchronous Optical CDMA

Michel Kulhandjian, Hovannes Kulhandjian, Claude D'Amours +2

In this paper, we propose a fast decoder algorithm for uniquely decodable (errorless) code sets for overloaded synchronous optical code-division multiple-access (O-CDMA) systems. T…

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…