omniomni/omni-engineering huggingface dataset:
Mohammed Altamimi. Mohammed Altamimi () is the Governor of Saudi Arabia's Communications, Space and Technology Commission (CST) since October 2019, on the Grade “Excellent”; and the acting CEO of the Saudi Space Agency (SSA) since 2021.

Education 
Mohammed Altamimi holds a bachelor's degree in Telecommunication Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in 2003, and he received his Master's in Telecommunications and Technology Policy from the University of Strathclyde in 2005, and then his PhD in Telecommunications Regulation Economics from the University of Pittsburg in 2014. Dr. Altamimi has graduated from Harvard University's Program for Leadership Development in 2019 and published a number of academic and scientific peer-reviewed papers.

Career 
Prior to his appointment as the Governor of CST, Dr. Altamimi served as Deputy Governor for Regulation and Competition. Beside to his position, he worked as a member of arbitration committee for a number of international conferences, such as the International Conference on Cognitive Radio Oriented Wireless Networks and the European Telecommunication Networks Innovation Forum. He has been instrumental in the establishment of a number of specialized research societies in Saudi Arabia. During his PhD journey, he worked at several companies in the United States, chaired a number of projects on regulation governance, and ICT sector. Moreover, Altamimi is recognized as an expertise in governance, privatization public policies and regulations.

Achievements 
During his tenure, Saudi Arabia Achieved the second ranking in the UN's 2024 Digital Infrastructure report, and the sixth worldwide in ICT Regulation Quality.
He led many initiatives, such as National Regulatory Committee and the Digital Regulatory Academy, that contributed to the Kingdom's efforts in achieving a leadership position in the digital regulatory maturity, through which the Kingdom jumped in many international indicators surpassing the G20 countries
He was awarded the King Abdulaziz First Class Medal in 2021 .
Established and led the Saudi Astronaut Program, which sent the first Saudi female astronaut to the International Space Station in 2023.

Additional Responsibilities and Affiliations 
He also holds a number of national and international positions
Vice Chairman of the board for CST
Vice Chairman of the board for SSA
Council Member at ITU in Geneva
Commissioner at UN's Broadband Commission in New York
Vice Chairman of the board for PIF's NEO Space Group
Secretary Board of the Supreme Space Council
Member of KAPSARC's Board of Trustees
President of the National Regulations Committee 
Member of the E-Commerce Council
Member of the Digital Content Council
Board Member at the Riyadh Infrastructure Projects Center

References 

King Fahd University of Petroleum and Minerals alumni
Communication ministers of Saudi Arabia
Communications in Saudi Arabia
Year of birth missing (living people)
Living people
Electric Loco Shed, Barauni. Electric Loco Shed, Barauni is a motive power depot performing locomotive maintenance and repair facility for electric locomotives of the Indian Railways, located at Barauni of the East Central Railway zone in Bihar, India. It is situated adjacent to Garhara railway station, about 4 kms from Barauni Junction railway station (BJU) – a major railway junction of Bihar.

History
The Electric Loco Shed was inaugurated on 18 September 2020. It is Bihar's first electric locomotive shed, and is equipped with a CNC underfloor wheel lathe for wheel reprofiling of locomotives and coaches.

Locomotives

References

External links

Rail transport in Bihar
Sonpur railway division
Electric railway depots in India
2020 establishments in Bihar
Kaktus (reconnaissance and jamming system). Kaktus is a ground-based reconnaissance and jamming system designed to conduct electronic warfare in the field of electronic reconnaissance (ESM) and electronic countermeasures (ECM).

Development 
The prototype KAKTUS set in the KAKTUS-MO version (operational module) was developed in the years 2007–2010 by a consortium consisting of: the Institute of Communication of the Faculty of Electronics of the Military University of Technology, the Military Institute of Communications and the companies WITPiS, KenBIT, Thales, Rodhe&Schwartz, Bonn Elektronik, Poynting, Transbit, WAREL, Jelcz S.A. and WZM S.A. The aim of the program was to construct a modern automated system for conducting electronic warfare (EW) by WE battalions at the operational level in the HF range (1-30 MHz) and at the tactical level in the HF, VHF, UHF range (1-3000 MHz). The system meets the requirements of the modern battlefield, NATO standards meet the requirements of interoperability with automated command systems used in the Polish Army and NATO troops.

In 2017, the procedure for the development and delivery of two serial Kaktus MO reconnaissance and jamming systems for the Polish Armed Forces was initiated.

Description 
The automated reconnaissance and jamming system KAKTUS-MO is designed to conduct electronic warfare in the scope of ESM and ECM. Reconnaissance tasks consist in gathering information on the composition and dislocation of the enemy group, as well as the method of their actions. In terms of countermeasures, the KAKTUS system is designed to conduct offensive electronic operations consisting in emitting disruptive electromagnetic energy on the operating frequencies of the enemy's receiving devices. The system ensures cooperation with the Automated Command System of the Land Forces and interoperability with similar NATO command systems.

Module composition 
The single Katkus-MO system consists of:

 Operational Level Electronic Warfare Command Vehicle
 Analysis Wagon
 four pieces of HF radio direction finder
 four pieces of HF interference stations
 six units of Radio Receiving Equipment

Gallery

References 

Military equipment of Poland
Electronic warfare
Evolutionary image processing. Evolutionary image processing (EIP) is a sub-area of digital image processing. Evolutionary algorithms (EA) are used to optimize and solve various image processing problems. Evolutionary image processing thus represents the combination of evolutionary optimization and digital image processing. EAs have been used for several decades in computer science to optimize various problems. The application in image processing, on the other hand, is still a relatively new field of research. This is primarily due to the technological development of computer systems, as EIP is a relatively computationally intensive process. Evolutionary computer vision (ECV) is an application of EIP for computer vision. It has been shown that genetic programming (GP) as a subclass of EAs is particularly useful for image processing.

Genetic programming for image processing
In evolutionary image processing, genetic programming optimizes the arrangement of different image-processing operators for specific outputs or task performance. As of 2021, in comparison to popular and well developed convolutional neural networks, GP is an emerging technique for feature learning. In particular, GP has been used for developing accurate classifiers for object detection, classification of medical images, and optical character recognition. GP has multiple advantages in case of image processing. They include:
 The GP output is a program or a collection of programs in the form of mathematical expressions, which are easy to interpret after simplification and conversion to normal notation.
 The GP needs considerable time for evolution of GP based classifiers. However, the resulting GP tree needs very short execution time in the testing.
 GP fitness function is flexible and can be adapted according to the problem to be solved.
The disadvantages of GP for image processing include:
 Computational cost for evolution of GP based classifiers is very high.
 A large dataset is required for the training.
 Due to their stochastic nature, a solution is not guaranteed.

See also

List of genetic algorithm applications

References

Applications of evolutionary algorithms
Image processing
Venia Giota. Venia Giota (born 1982; in Greek: Βένια Γιώτα) is a Greek product designer and industrial designer with a body of design works and accolades at the international level.

Biography
Giota was born in Karditsa, Greece, where she grew up and completed her early education. She studied at the University of the Aegean at Department of Product and Systems Design Engineering, and earned her design diploma degree in 2005.

She afterwards moved to Italy to pursue postgraduate studies in Milan at the renowned design school, Domus Academy (2007). In Italy, she collaborated professionally as a young designer with businesses and furniture manufacturers such as 3M Italia, Gino Finizio Design Management L.L.C., and Claudio Bellini Design+Design L.L.C.

In 2012, she moved to China and worked for several years at CBD Group Industrial Design and the company Pinvita (2012–2020), where she engaged in various design projects and activities.

In 2020, she returned to Greece and focused on designing objects and furniture and on wooden decor, based in Karditsa.

Since 2021, she has been the co-founder of the design company "The Tea Club Toys", which specializes in designing (eco-friendly) wooden children's toys. In 2023, the company won an innovation award at the Toys Awards in Greece.

Personal life
Since 2020, Giota has lived in Karditsa city. She is married to the Italian, product designer Giovanni Locci, and together they have one son.

Awards
Giota has received several international distinctions for her design works:
 CUPCAKE (2023), 1st Prize, Toys Awards
 Hulu (2014), 1st Prize, Red Dot Award
 Good Design Award (2014), V.I.A (Vertical Intelligence Architecture) for Steelcase, US | Claudio Bellini Design+Design
 Red Dot Design Award (2013), Liz Chair for Walter Knoll, Claudio Bellini Design+Design, Interior Innovation Award, Germany
 IF Design Award (2012), My White, bathroom series, Saturn Bath Co, Ltd, Claudio Bellini Design+Design, South Korea
 Red Dot Design Award (2012), EGA, task chair, South Korea
 IF Design Award (2011), EGA, task chair, South Korea
 Changing with Beauty (2009) That's Design 2009, Salone del Mobile – Milan Design Week, Milan, Italy
 Coffee & Café (2004), 4th Biennale International Design, Saint-Étienne, France
 International Industrial Design Competition (2003), 2nd Prize, Executive Office Desk (organizer: DROMEAS S.A.)

References

External links
 Venia Giota on Behance
 Venia Giota  The Tea Club Toys
 Venia Giota Design
 LinkedIn

Living people
1982 births
Product designers
21st-century Greek businesswomen
Watts Water Technologies. Watts Water Technologies, Inc. is a company based in the United States that makes valve products for plumbing and heating, such as water pressure regulators and other valves. Watts is one of the largest manufacturers of water valves in the United States.

The company was founded by Joseph Watts. It employs about 4,500 employees.

History
Watts was previously based in Lawrence, MA.

Watts created a type of safety valve known as the temperature and pressure valve (T&P valve), which was used for safely venting hot-water supply tank systems, reducing the risk of explosion. By the time of World War II, the U.S. Army required Watts T&P valves on all army hot-water supply tanks.

Watts Industries participated in the United States Environmental Protection Agency's 33/50 program.

Locations
Watts' main location is in North Andover, MA.

Watts has operated a regional distribution center in Franklin, NH.

Corporation
Watts has joined the S&P 400 index. Robert J. Pagano is the president, director and chief executive officer. The company is listed on the NYSE with the symbol WTS. The company has Class A shares and Class B shares of common stock.

The company was formerly known as Watts Industries Inc.

References

Manufacturing companies of the United States
Publicly traded companies
Valve manufacturers
Plumbing materials companies
Zhen Xu. Zhen Xu () is Li Ka Shing Endowed Professor of Biomedical Engineering at the University of Michigan, where she also holds professorships in radiology and neurosurgery. Her research concerns surgical applications of focused ultrasound.

Xu studied biomedical engineering as an undergraduate at Southeast University in Nanjing, graduating in 2001. She went to the University of Michigan for graduate study, receiving a master's degree in 2003 and completing her Ph.D. in 2005. She was given the Li Ka Shing Endowed Professorship at the University of Michigan in 2024.

Xu was named as a Fellow of the American Institute for Medical and Biological Engineering in 2019, "for outstanding contribution to invention and development of histotripsy, an image-guided, noninvasive ultrasonic cavitation therapy", and became a Fellow of the National Academy of Inventors in 2024. She was the 2024 recipient of the IEEE Carl Hellmuth Hertz Ultrasonics Award, "for invention and clinical translation of histotripsy - the noninvasive mechanical ultrasound ablation technology", and she was named to the 2025 class of IEEE Fellows "for development and clinical translation of non-invasive mechanical ultrasound ablation technology".

References

External links
Histotripsy Lab

Year of birth missing (living people)
Living people
American biomedical engineers
American women engineers
Chinese bioengineers
Chinese women engineers
Southeast University alumni
University of Michigan alumni
University of Michigan faculty
Fellows of the American Institute for Medical and Biological Engineering
Fellows of the National Academy of Inventors
Fellows of the IEEE
Iowa Confluence Water Trails. Iowa Confluence Water Trails is a funded group in the US state of Iowa, with a set of projects that aim to create more recreation opportunities and conserve Iowa waterways. The organization began in 2015 with a grant from the Iowa Department of Natural Resources, a plan was created to expand the excess and recreation of rivers in central Iowa. They have contributed to 86 project sites, many still being planned and executed. The largest project they are pursuing is white water rapids in downtown Des Moines, Iowa on the Des Moines River. This project is expected to cost $114 million and contains 3 main access points or locations, Scott Avenue, Harriet Street, and Fleur Drive. The locations will have added modifications to current structures and create recreation features to the river. The current director of ICON is Maggie McClelland.

Scott Avenue 
The Scott Avenue location will have the current dam modified to allow kayaks to pass along and lower the dam with a cascading fish passage to allow fish to swim through the area safely. Additionally the project adds recreational features on the Southern side of the river, the hillside to the south of the river will also be smoothed to allow people to walk down to the river. This location is expected to be completed in the summer of 2026. For the time of its construction there is a live feed available for viewing.

Harriet Street or Center Street 
The Harriet Street location will include boat launch areas, kayak launches, parking and walkways, ziplines, and a wetland to manage water runoff. The current one drop in the river will be spread across 3 drops with light rapids included for kayaking and surfing. There will also be additional rock climbing features and skating nearby. This site is expected to open to the public in the spring of 2025.

Fleur Drive 
The Fleur Drive location will include modifications to mitigate the dam such as changing water levels in steppes. It is aimed to be a less challenging area for children and people who want a lesser challenge. It will add fish and recreational passages, and wave features for recreation with kayaks and paddle boards. Like the Scott Avenue access point this location also requires work to slope the steep hills on the bank to allow access to the river. It is expected to be completed in the summer of 2027.

References

External links 
 Iowa Confluence Water Trails
 Construction Live Feed

Whitewater sports
Wetlands of Iowa
501(c)(3) organizations
Non-profit organizations based in Iowa
2015 establishments in Iowa
Organizations established in 2015
Warri Refinery. Warri Refinery is a Nigerian refinery in Warri, Delta State, Nigeria. It began operations in 1978. It serves Nigeria's southern regions.

Geography 
The refinery is in Ubeji Community under Warri South in Delta State. It is bounded to the north by the Nigeria Gas Company, a natural gas processing and transmission company.

Operation 
The Refinery is designed with a processing capacity of 125,000 barrels per day (B/D). Despite this significant capacity, the facility has historically struggled to achieve full utilization. Production levels have experienced a consistent decline over the years, with the exception of a brief period in the early 1990s, during which production saw a temporary increase.

Several key factors contribute to the refinery's inefficient operations. Addressing these issues is crucial for optimizing the refinery's performance and ensuring that it operates at its full potential. Among the proposed solutions is the refurbishment of the existing utilities within the plant. This upgrade aims to enhance their functionality and ensure they meet the operational demands of the refinery.

Recently, a turnaround maintenance initiative was completed, which is anticipated to significantly improve the refinery's overall performance. This maintenance is expected to enhance both throughput volume and product yield, positioning the refinery for better operational efficiency in the future.

References 

Nigerian companies established in 1978
Warri
Screen generator. A screen generator, also known as a screen painter, screen mapper, or forms generator is a software package (or component thereof) which enables data entry screens to be generated declaratively, by "painting" them on the screen WYSIWYG-style, or through filling-in forms, rather than requiring writing of code to display them manually. 4GLs commonly incorporate a screen generator feature. They are also commonly found bundled with database systems, especially entry-level databases. A screen generator is one aspect of an application generator, which can also include other functions such as report generation and a data dictionary. The earliest screen generators were character-based; by the 1990s, GUI support became common, and then support for generating HTML forms as well. Some screen generators work by generating code to display the screen in a high-level language (for example, COBOL); others store the screen definition in a data file or in database tables, and then have a runtime component responsible for actually displaying the form and receiving and validating user input.

Examples 
Examples of screen generators include:
 IBM Screen Definition Facility II: generates screens for CICS BMS, IMS MFS, ISPF, GDDM and CSP/AD.
 Performix for Informix.
 Microsoft Visual Basic
 the forms component of Microsoft Access
 Oracle Developer, in particular its Oracle Forms component
 the QDesign component of PowerHouse
 SystemBuilder/SB+
 the Screen Painter component of SAP's ABAP Workbench
 the FoxView component of FoxPro. FoxView was originally developed by Luis Castro as a dBASE screen generator named ViewGen; Fox purchased it and bundled it with FoxPro 1.0. Later, Fox replaced Castro's code with their own screen painter code.
 dBASE included a built-in screen generator in dBASE IV onwards; in dBASE III and earlier, third party screen generators were available, including the already mentioned ViewGen 
 DPS 1100 for UNIVAC 1100 series mainframes.

References 

Programming tools
ECOBEE (Maglev). ECOBEE () is a South Korean Maglev train developed by the Korea Institute of Machinery & Materials.

History 
Ecobee was developed in 2006 as an advanced version of the UTM-02 to create a vehicle that could be operated by metropolitan city-level local governments.

On December 21, 2006, the Ministry of Construction and Transportation signed an agreement with the Korea Institute of Machinery and Materials for a maglev train. On January 31, 2007, the Korea Institute of Machinery and Materials Urban Maglev Train Commercialization Project Group was launched. On June 26 of the same year, the construction of a demonstration line in Incheon Metropolitan City was decided. In December 2009, Hyundai Rotem completed the production of a test train. In July 2013, the name of the vehicle was officially decided as Ecobee. On February 3, 2016, the Incheon Airport Maglev using Ecobee as a demonstration line opened.

Technology 
It was developed by Hyundai Rotem and the Korea Institute of Machinery and Materials using South Korean technology. It is powered by the power of the electromagnet and moves by floating 8㎜ above the track. Since it is powered by electromagnetic force without wheels, there is almost no noise, vibration, or dust due to friction when running. It can accommodate up to 230 people per train. The designed maximum speed is 110km/h.

References 

Maglev trains of South Korea
Deniz Altınbüken. Deniz Altınbüken is a Research Engineer at Google DeepMind who focuses on enhancing system performance and efficiency through machine learning techniques (ML for Systems). Her particular work includes consensus protocols, bug detection, caching, indexing, and query optimization.

Education 
Altınbüken graduated from Koç University in 2009 with a degree in Computer Engineering. She earned her Ph.D. in Computer Science from Cornell University in 2017, where her research centered on building large-scale, evolving distributed systems, with a specialization in consensus protocols and self-adapting systems. Altınbüken is now a member of the Advisory Board of Koç University.

Career contributions 
Altınbüken's has delivered talks and lectures on ML for Systems at institutions including the University of California, Berkeley, and the University of Illinois Urbana-Champaign sharing insights on designing, implementing, and deploying machine learning solutions in system architectures. She has delivered invited talks at institutions including the presentation of "The Tip of the Iceberg: How to make ML for Systems work" at the UC Berkeley Sky Seminar, in 2022 sharing insights from her experiences in building and deploying ML solutions in system architectures. She was also invited to speak at the "COVID-19 Döneminde Doğru Bilgiye Ulaşmak" ("Accessing Accurate Information During the COVID-19 Period") event organized by Koç University.

Her conference recognition includes the paper "Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor," co-authored by Altınbüken, abd presented at the 29th ACM Symposium on Operating Systems Principles (SOSP) in 2023. Altınbüken has also been active in the academic community through her involvement in organizing workshops and serving on program committees. Altınbüken has served in program chair positions including ATC'25, FAST'23, ACM SoCC'22. She co-chaired the 2nd Workshop on Practical Adoption Challenges of ML for Systems in Industry (PACMI) at the MLSys 2023 conference. She has also been a Program Committee member of the International Workshop on Cloud Intelligence / AIOps since 2024.

Selected publications 

 Robbert Van Renesse, Deniz Altinbuken "Paxos made moderately complex" (2015)
 Hussam Abu-Libdeh, Deniz Altınbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou (Steve)Li, Andy Ly, Christopher Olston "Learned Indexes for a Google-scale Disk-based Database" (2020)
 Sishuai Gong, Dinglan Peng, Deniz Altınbüken, Pedro Fonseca, Petros Maniatis "Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor" (2023)
 Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, Charles Sutton "Natural Language Outlines for Code: Literate Programming in the LLM Era." (2024)

References

Living people
Koç University alumni
Cornell University alumni
Google employees