A5002074145- Molecular Communication and Nanonetworks
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Energy Harvesting in Wireless Networks
- Cooperative Communication and Network Coding
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Quantum Mechanics and Applications
- EEG and Brain-Computer Interfaces
- Structural Health Monitoring Techniques
- Robotics and Sensor-Based Localization
- Machine Fault Diagnosis Techniques
- Chaos-based Image/Signal Encryption
- Random lasers and scattering media
- Neural Networks and Reservoir Computing
- Opportunistic and Delay-Tolerant Networks
- Multiple Sclerosis Research Studies
- Advanced Wireless Communication Technologies
- Opinion Dynamics and Social Influence
- Neuroinflammation and Neurodegeneration Mechanisms
- Privacy-Preserving Technologies in Data
- Space Science and Extraterrestrial Life
- Energy Efficient Wireless Sensor Networks
Trinity College Dublin
2018-2024
International Burch University
2013-2018
University of Sarajevo
2010-2013
Institute of Metrology of Bosnia and Herzegovina
2011-2012
The advanced notebooks, mobile phones, and internet applications in today's world that we use are all entrenched classical communication bits of zeros ones. Classical has laid its foundation originating from the amalgamation mathematics Claude Shannon's theory information. However, technology is a playground for eavesdroppers. This poses serious challenge to various rely on technology, it motivated researchers switch new technologies fundamentally more secure. By exploring quantum effects,...
Implementing line-of-sight (LOS) and none-line-of-sight (NLOS) identification in ultra-wideband (UWB) systems is crucial. Convolutional neural network (CNN) based methods can extract higher-level features automatically, but they are on channel impulse response (CIR)-turned image ingested that impose calculation complexity do not make use of manual due to the data inundation risk. In this letter, we propose a novel multilayer perceptron (MLP)-based LOS/NLOS algorithm utilize both manually...
This paper presents the first comprehensive tutorial on a promising research field located at frontier of two well-established domains, neurosciences and wireless communications, motivated by ongoing efforts to define Sixth Generation Mobile Networks (6G). In particular, this provides novel integrative approach that bridges gap between these seemingly disparate fields. Then, we present state-of-the-art key challenges topics. propose systematization divides contributions into groups, one...
Cyborg insects are a major part of the vision future interactions living world and technology, including but not limited to Internet Living Things (IoLT).They crawling or flying with additional electronic circuitry allowing remote control their movement collection sensory data.In this critical review, we survey historical development cyborg engineering, from first backpacks on used for communication sensing, different methods actuation insects' locomotion.We review suggested applications...
Distributed antenna selection for distributed massive multiple input output (MIMO) communication systems reduces computational complexity compared to centralized approaches, and provides high fault tolerance while retaining diversity spatial multiplexity. We propose a novel algorithm show its advantage over existing solutions. The proposed is shown perform well with imperfect channel state information, execute small number of simple operations per node, converging fast steady state. base it...
Accurate altimetry is essential for location-based services in commercial and industrial applications. However, current methods only provide low-accuracy measurements, particularly multistorey buildings with irregular structures, such as hollow areas found various sites. This paper innovatively proposes a tightly coupled indoor system that utilizes floor identification to improve height measurement accuracy. The includes two optimized algorithms accuracy through activity detection address...
Antenna selection in Massive MIMO (Multiple Input Multiple Output) communication systems enables reduction of complexity, cost and power while keeping the channel capacity high retaining diversity, interference reduction, spatial multiplexity array gains MIMO. We investigate possibility decentralised antenna both to parallelise optimisation process put environment awareness use. Results experiments with two different control rules varying number users show that a simple computationally...
In this paper we present two different, software and reconfigurable hardware, open architecture approaches to the PUMA 560 robot controller implementation, fully document them provide full design specification, code hardware description. Such solutions are necessary in today’s robotics industry: deprecated old control units render robotic installations useless allow no upgrades, advancements, or innovation an inherently innovative ecosystem. For sake of simplicity, just first axis is...
This paper presents the first comprehensive tutorial on a promising research field located at frontier of two well-established domains: Neurosciences and wireless communications, motivated by ongoing efforts to define how sixth generation mobile networks (6G) will be. In particular, this provides novel integrative approach that bridges gap between these two, seemingly disparate fields. Then, we present state-of-the-art key challenges topics. propose systematization divides contributions into...
The classification of biological neuron types and networks poses challenges to the full understanding human brain's organisation functioning. In this paper, we develop a novel objective model neuronal morphology electrical their networks, based on attributes communication using supervised machine learning solutions. This presents advantages compared existing approaches in neuroinformatics since data related mutual information or delay between neurons obtained from spike trains are more...
This paper proposes a decentralized planning constructed as cyber-physical system to jointly manage supply and demand, including aspects related production circulation, without the mediation of money. Our aim is provide concrete technical solution for future society based on communizing commons-based resource allocation an attempt move in-against-and-beyond value-form, which social “force-field” that characterizes capitalist mode production. contribution divided into three articulated parts:...
While metasurface-based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, plans the mass deployment these motivate question their integration with other new and technologies that would require such widespread deployment.This vision communication systems as invaluable component public health motivated our concept Intelligent Reflector-Viral Detectors (IR-VD).In this novel scheme, we propose reflectors...
Reversible computation has been recognized as a potential solution to the technological bottleneck in future of computing machinery. Rolf Landauer determined lower limit for power dissipation and noted that happens when information is lost, is, bit erased. This meant with reversible computation, conserving conserves energy well, such can operate on arbitrarily small power. There were only few applications use cases hardware. Here, we present novel architecture time reversal waves, an...
This paper focuses on sensor data management in the Solar Car Optimized Route Estimation (SCORE) system which is currently being developed. The collection split into two phases: a priori phase related to environment and real time solar vehicle. hardware software architecture for illustrated detail, while discussed as part of embedded car computer. full description SCORE presented with guidelines future work implementation it.
This paper explores the use of semantic knowledge inherent in cyber-physical system (CPS) being studied order to minimize explicit communication, which refers physical radio resources transmit potentially informative data. It is assumed that acquired data have a function system, usually related its state estimation, may trigger control actions. We propose semantic-functional approach can leverage semantic-enabled implicit communication while ensuring maintains required functionality and...