Ibrahim Fawaz

ORCID: 0000-0002-3207-3904
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About
Contact & Profiles
Research Areas
  • Energy Harvesting in Wireless Networks
  • IoT Networks and Protocols
  • Advanced MIMO Systems Optimization
  • IoT and Edge/Fog Computing
  • Microfluidic and Bio-sensing Technologies
  • Protein purification and stability
  • Wireless Power Transfer Systems
  • Advanced Wireless Network Optimization
  • Photodynamic Therapy Research Studies
  • Microfluidic and Capillary Electrophoresis Applications
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Nanoplatforms for cancer theranostics
  • Nanoparticle-Based Drug Delivery
  • Age of Information Optimization
  • Air Quality Monitoring and Forecasting

Philipps University of Marburg
2021-2024

Boehringer Ingelheim (Germany)
2022-2023

CEA LIST
2017-2020

CEA Paris-Saclay
2019-2020

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2017-2020

Télécom Paris
2017-2020

Laboratoire Traitement et Communication de l’Information
2017-2019

Université Paris-Saclay
2017-2018

10.1016/j.ejpb.2023.01.017 article EN publisher-specific-oa European Journal of Pharmaceutics and Biopharmaceutics 2023-01-25

This paper investigates resource scheduling in a wireless communication system operating with Energy Harvesting (EH) based devices and perfect Channel State Information (CSI).The aim is to minimize the packet loss that occurs when buffer overflowed or queued older than certain pre-defined threshold.We so consider strict delay constraint rather an average constraint.The associated optimization problem modeled as Markov Decision Process (MDP) where actions are number of packets sent on known...

10.1109/tgcn.2019.2924242 article EN IEEE Transactions on Green Communications and Networking 2019-06-21

This paper investigates the resource scheduling minimizing packet loss when wireless communication system operates with Energy Harvesting (EH) based devices. The occurs buffer is overflowed and queued older than a certain pre-defined threshold. We so consider strict delay constraint rather an average constraint. associated optimization problem can be modeled as Markov Decision Problem (MDP) where actions are number of packets sent on known channel at each slot. optimal deterministic offline...

10.1109/icc.2018.8422088 article EN 2018-05-01

This paper investigates the energy consumption minimization for resource scheduling in a wireless communication. We propose to take into account strict delay constraint each queued packet rather than an average constraint, addition buffer overflow constraint. The associated optimization problem can be modeled as Constraint Markov Decision Problem where actions are number of packets sent on known channel at slot. optimal random policy is exhibited through resolution standard linear...

10.1109/globalsip.2017.8308645 article EN 2017-11-01

This paper studies the joint optimization of resource scheduling and computation offloading for mobile networks where energy harvesting (EH)-enabled devices are wirelessly connected to nearby base stations (BSs), which can be endowed with some computational capabilities. We consider that a device may run its applications either locally or remotely at serving station. also strict delay constraints. Our objective is minimize packets' loss due buffer overflow violation queued packets device....

10.1109/ict.2018.8464942 article EN 2018-06-01

This paper proposes a joint packet scheduling and computation offloading policy for an Energy Harvesting (EH) mobile terminal wirelessly connected to Base Station (BS) when the channel between BS is unavailable at side. The has decide if its related one application computed either locally or remotely by within strict delay imposed this without knowing in advance. Our objective guarantee reliable communication minimizing loss. loss due butter overflow, violation mismatch. We formulate problem...

10.1109/vtc2020-spring48590.2020.9128717 preprint EN 2020-05-01

Sub-visible particles (SVPs) in pharmaceutical products are a critical quality attribute, and therefore should be monitored during development. Although light obscuration (LO) microscopic particle count tests the primary pharmacopeial methods used to quantify SVPs, flow imaging like Micro-Flow Imaging (MFI™) appear overcome shortcomings of LO such as limited sensitivity concerning smaller translucent SVPs size range <10 µm. Nowadays, MFI™ is routinely utilized development biologicals....

10.2139/ssrn.4207643 article EN SSRN Electronic Journal 2022-01-01
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