🏆 congratulations to ms. malghalara abdul ali on being honored with the women researcher award 2026 at the global cad awards.

her outstanding contribution to mobility management and dedication to advancing research excellence continue to inspire innovation and create a lasting impact in the academic community.

🌟 celebrating achievement, innovation, and excellence in research.

#globalcadawards #womenresearcheraward #mobilitymanagement #researcher #researchaward #academicexcellence #womeninscience #innovation #researchimpact #awardwinner #scientificresearch #engineeringresearch #futureleaders #researchcommunity #scholar #academics #globalrecognition #researchcellence #womeninresearch #highereducation #turkey #kocaeliuniversity #award2026 #innovationleader #womeninengineering #globalresearch #researchsuccess #scientificachievement #knowledgeinnovation #excellenceinresearch

 42nd Edition | 28–29 June 2026 | Bangkok, Thailand - Novotel Bangkok Sukhumvit 20

Global International computer aided design in mechanical engineering is the Researchers and Research organizations around the world in the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise. Researchers and scholars of all nationalities are eligible to receive ScienceFather Computer aided design Awards. Nominees are judged on past accomplishments, research excellence, and outstanding academic achievements.

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Dr. Quang-Vinh Dang | British University Vietnam | Vietnam.

 

The Research Excellence Award celebrates distinguished academics and professionals who have made remarkable contributions to their field through innovative research and scholarly excellence. It acknowledges individuals whose work has driven meaningful advancements, influenced industry practices, and enriched global knowledge through impactful publications and research outcomes. Visit Our Website : globalcadawards.com Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee Contact us : contact@globalcadawards.com #worldresearchawards #researchawards #GlobalCADAwards #CADInnovationAward #ComputerAidedDesignaward #researchimpact

Cisco: LPO not a panacea but plays strategic role in AI networks

Cisco has committed to developing Linear Pluggable Optics (LPO) options for its Silicon One family to address the growing need for lower power, high-throughput networking for AI.
Cisco recently ratcheted up the speed of its Silicon One portfolio with the introduction of a 102.4 Terabit/sec G300 chip and switch family. As part of that launch, Cisco rolled out its first commercially available 800G LPO modules for its Nexus 9000 series switches and 8000 series routers. Outfitted with the LPO module, these networking boxes are aimed at AI leaf-spine fabrics, data center interconnects, and other high density 800G deployments, according to Cisco.
Supporting 800G LPO on Nexus 9000 and 8000 series platforms takes advantage of the power of the Silicon One architecture while addressing the energy savings and network performance needs that hyperscalers or other high-end users need now, experts say. 
“For us, there are going to be niche, targeted applications for 800G LPO, in my view, and customers seeking to reduce power will take advantage of it, but it’s not a panacea,” Bill Gartner, senior vice president and general manager of Cisco’s optical systems and optics business, told Network World. 

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In other words, it’s not fully plug-and-play like some non-LPO optics, Gartner said. “We can’t make a claim that you can take our 800G LPO, or anybody else’s, and just plug it into anybody’s host, and it’s going to work. It’s going to require some pairwise testing, and it has to be paired with an LPO optic on the other end of the link as well,” Gartner said. Not all silicon is capable of doing this reliably, and that’s why LPO deployments need thorough validation between the optic and the host platform.

 

Automation can benefit professionals across various fields, including project managers, analysts, and solo founders. We all face repetitive digital tasks that consume our time, such as gathering data from the web, cleaning and standardizing it, updating spreadsheets, and creating clear, actionable reports. 

Become a data-savvy business leader

5 Workflow Automation Tools for All Professionals

Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills.

By Abid Ali Awan, KDnuggets Assistant Editor on December 16, 2025 in Artificial Intelligence

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Image by Author
 

# Introduction

 
Automation can benefit professionals across various fields, including project managers, analysts, and solo founders. We all face repetitive digital tasks that consume our time, such as gathering data from the web, cleaning and standardizing it, updating spreadsheets, and creating clear, actionable reports. 

In this article, we will explore five powerful yet user-friendly workflow automation tools. With features like drag-and-drop nodes, prebuilt connectors, and guided templates, you can easily create end-to-end workflows without the need for extensive engineering knowledge. 

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#WorkflowAutomation #AutomationTools #ProductivityTools #BusinessAutomation #DigitalWorkflow #ProcessAutomation #NoCodeTools #LowCodeAutomation #SmartWorkflows #WorkplaceAutomation #AIProductivity #AutomationSoftware #TaskAutomation #BusinessProductivity #DigitalTransformation

Quantum computing leap for remote energy systems

 

Engineering researchers at Flinders University have won federal funding to develop a quantum computing-based demonstrator for remote community energy systems.

A quantum computer can perform calculations in minutes that take a supercomputer days, consuming kilowatts instead of megawatts of power.

Led by Professor of Electronic and Electrical Engineering Apel Mahmud the project will use advanced quantum optimisation and machine learning algorithms to design a quantum-based demonstrator model for remote community energy systems.

The $1.45 million project, kickstarted by $1.15 million in the latest round of grants announced by the Australian Government’s Critical Technologies Challenge Program, will work with industry partners EfficientSee and Zeco Australian Energy Solutions, as well as experts from two other Australian universities.

Professor Mahmud’s latest research focuses on sustainable and reliable energy supply solutions for rural and remote communities, including First Nations communities.

“Building on our feasibility study in Stage 1, the new energy management system will address complex computational challenges associated with reliable electricity supply to remote areas,” Professor Mahmud said.

“More intelligent control and forecasting of supply to these remote energy systems will support government efforts to reduce the financial burden of these high-cost systems.”

Key outcomes of the project will include creating a digital twin of remote energy systems and integrating these into a working prototype.

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#QuantumComputing #EnergySystems #SmartGrid #RemoteEnergy #QuantumOptimization #SustainableEnergy #EnergyInnovation #FutureTech #GridResilience #CleanTechnology

Neural CAD accelerates design exploration

 

In the early stages of a design project, during ideation and conceptualisation, tools should accommodate the broadest methods of expression. Early specifications, outlines, rough sketches and photos (among others) are all essential in expressing ideas.

Yet, the core paradigm of CAD software, parametric CAD, has remained largely unchanged for 40 years. These engines, built using traditional software technology, rely on a keyboard, mouse and typical user interface. Creators must explicitly define parameters such as the dimensions of an object. That can restrict creativity.

Creators need technology that doesn’t obstruct their creative flow. Instead, it should enable rapid and iterative exploration of ideas, regardless of how detailed or approximate they might be.

Over the past decade, research has underscored that early-stage explorations significantly enhance project metrics like cost, sustainability and suitability. That’s why recent advancements in neural technology are generating such excitement.

Unlike parametric CAD, they are learning and improving, so that they constantly align better to creators’ needs and ways of working. Meanwhile, they can reliably reason about the three-dimension and physical world.

Ultimately, these advancements are aimed at making creators faster, smarter and more competitive. The quicker designers can turn around their designs, the faster they can move products to markets – but the impact goes beyond speed. AI-powered design tools can directly reason about the immense complexity within design creation. It is this that sets the stage for vast improvements across the entire design and make category.

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DesignAutomation #MachineLearning #DeepLearning #ComputationalDesign #ProductDevelopment #DigitalEngineering #3DModeling #Optimization #FutureDesign #EngineeringAI #TechInnovation