A5103186348- Advanced Optimization Algorithms Research
- Sparse and Compressive Sensing Techniques
- Matrix Theory and Algorithms
- Optimization and Variational Analysis
- Connexins and lens biology
- Risk and Portfolio Optimization
- Optical Network Technologies
- Stochastic Gradient Optimization Techniques
- Advanced Photonic Communication Systems
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Optical Wireless Communication Technologies
- Probabilistic and Robust Engineering Design
- Water resources management and optimization
- Model Reduction and Neural Networks
- Hippo pathway signaling and YAP/TAZ
- Photonic and Optical Devices
- Wnt/β-catenin signaling in development and cancer
- Nuclear reactor physics and engineering
- Bone Tissue Engineering Materials
- Ion Channels and Receptors
- Hearing, Cochlea, Tinnitus, Genetics
- Advanced Thermodynamics and Statistical Mechanics
- Advanced Manufacturing and Logistics Optimization
- Skin Protection and Aging
Illinois State University
2022-2025
Jahrom University of Medical Sciences
2023
University of Waterloo
2010-2021
Islamic Azad University, Science and Research Branch
2020-2021
Infineon Technologies (Canada)
2020
Özyeğin University
2012
Sharif University of Technology
2010
The design of application-specific integrated circuits (ASIC) is at the core modern ultra-high-speed transponders employing advanced digital signal processing (DSP) algorithms. This manuscript discusses motivations for jointly utilizing transmission techniques such as probabilistic shaping and sub-carrier multiplexing in coherent optical transmissions systems. First, we describe key-building blocks high-speed DSP-based working up to 800G per wave. Second, show benefits these methods terms...
Fading and path loss are the major challenges in practical deployment of free space optical communication systems. In this paper, a cooperative via an amplify-and-forward relay is considered to deal with these challenges. We use photon counting approach investigate system bit error probability (BEP) performance study effects atmospheric turbulence, background light, amplified spontaneous emission, receiver thermal noise on performance. compare results those multiple-transmitter (MT) system....
Bone fracture due to internal or external factors is one of the most common diseases in today's orthopedic society. One techniques solve these problems use artificial porous bone grafts made by 3D printers and Freeze-Drying (FD) techniques. In this study, a shapeless scaffold was first fabricated using Fused Deposition Modeling (FDM) with electroconductive filament. The printed inserted into alginate solution composed Magnetite Nanoparticles (MNPs) containing 0, 10, 20, 30 wt% baghdadite...
Atmospheric turbulence is a major degrading factor in free-space optical (FSO) systems. Since turbulence-induced fading results very slowly-varying channel, reliable feedback possible allowing the implementation of adaptive transmission practical FSO In this paper, we propose algorithms which transmit power and/or modulation size are varied according to channel conditions. The design formulated as optimization problems spectral efficiency and average consumption at targeted value outage...
In this study, we explored the intricate relationship between Pannexin 1 (PANX1) and Hippo signaling pathway effector, Yes‐associated protein (YAP). Analysis of The Cancer Genome Atlas (TCGA) data revealed a significant positive correlation PANX1 mRNA core components, [YAP], Transcriptional coactivator with PDZ‐binding motif [TAZ], scaffold, Ras GTPase‐activating‐like IQGAP1 [IQGAP1], in invasive cutaneous melanoma breast carcinoma. Furthermore, demonstrated that expression is upregulated...
Quantum relative entropy (QRE) programming is a recently popular and challenging class of convex optimization problems with significant applications in quantum computing information theory. We are interested modern interior-point (IP) methods based on optimal self-concordant barriers for the QRE cone. A range theoretical numerical challenges associated such barrier functions cones have hindered scalability IP methods. To address these challenges, we propose series linear algebraic techniques...
We propose a family of search directions based on primal-dual entropy in the context interior-point methods for linear optimization. show that by using entropy-based predictor step predictor-corrector algorithm together with homogeneous self-dual embedding, we can achieve current best iteration complexity bound Then, focus some wide neighborhood algorithms and our directions, find direction size combination performing plane at each iteration. For this purpose, heuristic as well an exact one....
Application-specific integrated circuit (ASIC) is at the core of modern ultra-high-speed transponders employing advanced digital signal processing (DSP) algorithms. Jointly to transmission techniques, such as probabilistic shaping and sub-carrier multiplexing, it enables high capacity coherent transmission. In this invited contribution, we present our recent data-rate × distance record with experimental all real-time 800G channel over 1000 km in full C-band.
Abstract In this study, we explored the intricate relationship between Pannexin 1 (PANX1) and Hippo signaling pathway effector, Yes-associated protein (YAP). Analysis of The Cancer Genome Atlas (TCGA) data revealed a significant positive correlation PANX1 mRNA core components, YAP, TAZ, scaffold, IQGAP1, in invasive cutaneous melanoma breast carcinoma. Furthermore, demonstrated that expression is upregulated cell lines associated with increased YAP levels. Notably, our investigations...
Domain-Driven Solver (DDS) is a MATLAB-based software package for convex optimization problems in form.
Quantum Relative Entropy (QRE) programming is a recently popular and challenging class of convex optimization problems with significant applications in quantum computing information theory. We are interested modern interior point (IP) methods based on optimal self-concordant barriers for the QRE cone. A range theoretical numerical challenges associated such barrier functions cones have hindered scalability IP methods. To address these challenges, we propose series linear algebraic techniques...
We study infeasible-start primal-dual interior-point methods for convex optimization problems given in a typically natural form we denote as Domain-Driven formulation. Our algorithms extend many advantages of techniques available conic formulations, such the current best complexity bounds, and more robust certificates approximate optimality, unboundedness, infeasibility, to formulations. The results are new setup used, even case linear programming. In addition results, our aim expanding...