When Machines Start Working Together

Automation is rarely about one machine doing one job.

Modern industrial systems combine mechanical equipment, electronics, sensors, controllers and software so that different parts of a process can communicate and operate together.

MAHANAKORN’s Center of Excellence in Automation, Robotic and Electronic — ARE sits within this intersection of technologies, connecting automation and robotics with the electronic systems that make intelligent machines possible. The university continues to list ARE among its current specialised technology centers.

For students, this creates a useful environment for understanding not only how individual technologies work, but how they become part of a complete engineering system.

From a Robot to an Automated System

A robotic arm can move.

But movement alone does not create automation.

A practical automated system may also need sensors to understand what is happening around it, controllers to make decisions, electronics to connect different components and software to coordinate the entire process.

That is why MAHANAKORN’s wider automation environment includes facilities such as:

These facilities are currently listed across MAHANAKORN’s engineering learning environment and support different parts of the automation and intelligent-systems workflow.

Learning the Logic Behind Industry

One of the most important technologies in industrial automation is the Programmable Logic Controller, or PLC.

PLCs are used to control machines and processes across manufacturing environments.

They can receive information from sensors, follow programmed logic and send commands to equipment operating throughout a production system.

Learning how PLCs work helps students move beyond programming on a computer screen and begin understanding software as something that can directly control physical systems.

Combine that with robotics, electronics and process control, and automation becomes a much larger engineering challenge.

A production line needs to know when something arrives.

A robot needs to know where to move.

A sensor needs to communicate what it detects.

A controller needs to decide what happens next.

All of those steps have to work reliably together.

From Automation to Intelligent Machines

Automation is also becoming increasingly connected with AI and embedded computing.

Machines can collect more information.

Sensors can monitor equipment continuously.

Software can analyse performance.

Embedded systems can bring computing directly into machines and devices.

AI can add another layer of intelligence by helping systems recognise patterns, analyse information or respond more dynamically to changing conditions.

That means future automation engineers may work across boundaries that once separated mechanical engineering, electronics and computing.

Robotics becomes a strong example of that convergence.

A physical machine may require mechanical design, electronic control, sensors, software and intelligent decision-making before it can perform a useful task.

Why It Matters for Students

Learning automation through isolated subjects can make the technology feel fragmented.

A robotics environment helps bring the pieces together.

Students can begin with the fundamentals of mechanics, electronics or programming and then see how those skills connect inside a larger physical system.

That process develops a different kind of engineering thinking.

Instead of asking only:

“Does this component work?”

students can begin asking:

“How does this component affect the entire system?”

That is the kind of question engineers face when working with industrial automation, robotics, smart manufacturing and increasingly intelligent machines.

Where Could You Take It Next?

Mechanical Engineering
Build foundations in mechanics, engineering design and physical systems that connect directly with robotics, machinery and automated equipment.

Explore Mechanical Engineering →

Communication & Electronics Engineering
Develop knowledge in electronics, sensing, control and communication technologies that allow machines and automated systems to interact with the physical world.

Explore Communication & Electronics Engineering →

Computer & AI Engineering
Build skills in computing, artificial intelligence and embedded systems that can add software, data and intelligence to increasingly autonomous machines.

Explore Computer & AI Engineering →

Process & Industrial Engineering
Explore automation, production systems and process improvement for modern industrial environments where machines, data and people increasingly work together.

Explore Process & Industrial Engineering →

Automation becomes powerful when machines stop working as separate components and start operating as one intelligent system.

Engineering Changes When Performance Matters

A vehicle is never just one engineering system.

Mechanical components have to work with electronics.

Electric motors depend on power and control systems.

Sensors generate data.

Software influences performance.

And every design decision affects how the complete vehicle behaves.

MAHANAKORN’s work in Motorsport Engineering and Electric Vehicle Technology brings these areas together, creating an environment where students can explore the technologies shaping both competitive motorsport and the rapidly changing automotive industry.

From Combustion to Electric Mobility

Electric vehicles have changed the skills needed in automotive engineering.

Traditional mechanical knowledge still matters, but modern vehicles increasingly require an understanding of:

These technologies have to operate as one integrated system.

That makes EV engineering naturally interdisciplinary.

Mechanical engineers need to understand how propulsion affects vehicle behaviour.

Electronics engineers work with power, sensing and control.

Computer and AI engineers can contribute to data analysis, intelligent control and increasingly connected vehicles.

The vehicle becomes a meeting point between several engineering disciplines.

Why Motorsport Is a Powerful Engineering Classroom

Motorsport pushes engineering systems into demanding conditions.

Performance needs to be measured.

Weight matters.

Efficiency matters.

Reliability matters.

Small changes can influence the behaviour of the entire vehicle.

That makes motorsport an effective environment for learning how engineering decisions interact.

Students working around motorsport technologies can encounter questions involving vehicle setup, mechanical design, energy use, control systems, testing and performance data.

Instead of studying each subject independently, they can begin seeing how one decision affects the complete engineering system.

From Design to Testing

A vehicle can look successful in a computer model and still behave very differently once it reaches the real world.

That is why testing is such an important part of engineering.

Components need to perform under load.

Systems need to communicate correctly.

Data from testing needs to be understood.

Designs often need to be adjusted and tested again.

MAHANAKORN’s practical approach to motorsport and electric vehicle technology gives students a way to connect engineering theory with this cycle of design, build, test and improve.

It is the same mindset used across many areas of professional engineering.

Preparing for a Changing Automotive Industry

The automotive industry is becoming increasingly electric, connected and software-driven.

That change creates opportunities beyond traditional vehicle manufacturing.

Engineers can work across areas such as:

For students, the important lesson is that future mobility will not be shaped by one engineering discipline alone.

It will be built by people who understand how different technologies work together.

Where Could You Take It Next?

Mechanical Engineering
Build foundations in mechanics, engineering design, vehicle systems and manufacturing that connect directly with automotive and motorsport engineering.

Explore Mechanical Engineering →

Communication & Electronics Engineering
Develop knowledge in electronics, sensing, control and communication technologies increasingly used throughout electric and intelligent vehicles.

Explore Communication & Electronics Engineering →

Computer & AI Engineering
Explore computing, artificial intelligence and data technologies that can support intelligent control, vehicle analytics and increasingly connected mobility systems.

Explore Computer & AI Engineering →

Process & Industrial Engineering
Learn how production systems, automation and process improvement connect with modern automotive and advanced manufacturing environments.

Explore Process & Industrial Engineering →

The future of mobility will be built where mechanics, electronics, energy and intelligence work as one system.

Looking at Earth from a Different Perspective

Space technology does not only help us explore what lies beyond Earth.

It also helps us understand what is happening here.

The MAHANAKORN Earth-Space Center brings together satellite technology, Earth observation and geospatial applications in an environment where data from space can be connected with real problems on the ground.

The center forms part of MAHANAKORN’s wider engineering and technology ecosystem and supports work involving satellite applications, ground-based infrastructure and the interpretation of Earth-observation data.

From Satellite Signals to Useful Information

A satellite image is only the beginning.

Before information from space becomes useful, it has to be received, processed, interpreted and connected with a real question.

That could mean understanding how a storm is moving.

Monitoring environmental change.

Studying water and land conditions.

Mapping coastal areas.

Or combining satellite information with Geographic Information Systems to support planning and decision-making.

MAHANAKORN has demonstrated this kind of workflow through satellite observation, geospatial research and environmental applications.

The Earth-Space Center provides a physical connection between technology operating in orbit and the systems used to work with that information on Earth.

More Than Satellite Images

Modern Earth observation increasingly combines several technologies.

Satellite systems collect information from above.

Ground stations receive signals.

Software processes imagery.

GIS platforms organise information by location.

AI and data analytics can help identify patterns that may be difficult to see manually.

Together, these technologies can support applications such as:

That makes Earth-space technology naturally interdisciplinary.

Electronics, communications, computing, AI and civil infrastructure can all become part of the same problem.

A Platform for Research and Engineering

MAHANAKORN has used its space-technology capabilities in projects and research involving satellite communications, environmental observation and geospatial intelligence.

The university has also hosted academic activities exploring how satellite applications can connect with GIS and sustainable development.

For students, that helps turn space technology from an abstract subject into something much more practical.

A signal arriving from a satellite can eventually become an image.

That image can become data.

And that data can become information used to better understand a city, an ecosystem or a changing environment.

Why It Matters for Students

The Earth-Space Center shows that working in the space sector does not require every engineer to build a rocket.

Some engineers develop communication systems.

Some work with electronics and antennas.

Others build software for processing satellite information.

AI engineers can analyse large datasets.

Civil engineers can use geospatial information to understand infrastructure, flooding and environmental conditions.

The space ecosystem therefore creates opportunities across several engineering disciplines.

What connects them is the ability to turn information from distant systems into something useful in the real world.

Where Could You Take It Next?

Communication & Electronics Engineering
Develop knowledge in electronics, signal processing and communication systems that connect directly with satellite communications and ground-based technology.

Explore Communication & Electronics Engineering →

Computer & AI Engineering
Build foundations in computing, artificial intelligence and data for satellite-image processing, geospatial analytics and intelligent environmental systems.

Explore Computer & AI Engineering →

Civil Engineering
Explore infrastructure, water systems and the built environment while learning how spatial and environmental information can support better engineering decisions.

Explore Civil Engineering →

Postgraduate Research
Take engineering and technology further through advanced research and interdisciplinary projects.

Explore Postgraduate Research →

Sometimes solving a problem on Earth starts by seeing it from space.

From Circuit Design to Real Production

Designing an electronic circuit is only the beginning.

Before that circuit can become part of a smartphone, vehicle, robot or intelligent device, it has to be manufactured reliably.

That is where Surface Mount Technology, or SMT, becomes important.

MAHANAKORN’s SMT Training Center was developed to bring this manufacturing process into a practical engineering environment, connecting electronics education with the equipment and production systems used to assemble modern circuit boards.

The center includes an SMT production line installed at the Mahanakorn Institute of Innovation, creating an environment where students and trainees can understand how electronic designs move toward actual manufacturing.

How Modern Electronics Are Assembled

Modern electronic devices contain increasingly small components packed closely together.

SMT allows those components to be mounted directly onto the surface of a printed circuit board, helping manufacturers produce compact and highly integrated electronic systems.

A typical production process can involve several stages:

The result is a PCBA — Printed Circuit Board Assembly that can become part of a much larger electronic product.

For students, seeing these stages together helps connect circuit design with the reality of manufacturing.

More Than a Production Machine

An SMT line is not simply one machine.

It is a connected production system.

Equipment needs to operate in sequence.

Components need to be positioned accurately.

Production information needs to be managed.

Quality has to remain consistent.

And engineers need to understand what happens when something in the process does not perform as expected.

The development of MAHANAKORN’s SMT facility therefore includes both manufacturing equipment and systems for managing production data.

That creates opportunities to study electronics manufacturing not only from the hardware side, but also through process control, quality and production management.

Connecting Electronics with Industry

Electronics manufacturing requires a different set of questions from electronics design.

A circuit might work in simulation, but can it be assembled efficiently?

Can hundreds or thousands of boards be produced consistently?

Can defects be detected?

Can production data help engineers improve the process?

These questions sit at the intersection of electronics engineering and industrial engineering.

The SMT Training Center creates an environment where those disciplines can meet around a real manufacturing process.

For students interested in semiconductors and advanced electronics, this is especially relevant because semiconductor devices eventually need to become part of complete electronic products.

Understanding the route from component to board to finished system helps build a much broader picture of the electronics industry.

Why It Matters for Students

Engineering education becomes more valuable when students can connect design decisions with what happens later in production.

A smaller component can change how a board is assembled.

A circuit layout can influence manufacturing.

A production problem may require both technical analysis and process improvement.

Working around an SMT environment allows students to see that engineering decisions rarely remain inside one subject.

Electronics, automation, manufacturing and quality all have to work together before a product reaches the real world.

Where Could You Take It Next?

Communication & Electronics Engineering
Build foundations in electronic circuits, communication systems and advanced electronics while understanding how electronic designs become part of real manufactured systems.

Explore Communication & Electronics Engineering →

Process & Industrial Engineering
Explore production systems, process improvement, quality and industrial technologies that connect directly with modern electronics manufacturing.

Explore Process & Industrial Engineering →

Computer & AI Engineering
Develop skills in computing, data and intelligent systems that increasingly connect with automated production, manufacturing data and smart industrial environments.

Explore Computer & AI Engineering →

Master of Electrical & Electronics Engineering
Take electronics further through advanced technical study and research connected with modern electronic systems and technology development.

Explore Master of Electrical & Electronics Engineering →

Designing an electronic system is one skill. Understanding how to manufacture it reliably turns that design into something the world can actually use.

Where Semiconductor Research Meets Real Applications

A semiconductor can be microscopic, but the systems built around it can affect almost every part of modern life.

The Semiconductor AI & BioSensor Electronics Research Lab — SABER Lab brings together MAHANAKORN and Imperial College London to explore what happens when semiconductor engineering connects with artificial intelligence, sensing and biomedical technology.

Established in 2025, the collaboration creates a research environment spanning Thailand and the United Kingdom, connecting engineering knowledge with advanced international research.

Semiconductor, AI and Biosensors in One Lab

SABER Lab focuses on areas where hardware and intelligence increasingly overlap.

Research areas include:

These technologies do not exist independently.

A biosensor needs electronics capable of detecting and processing extremely small signals.

AI can help interpret the information those sensors generate.

Semiconductor design determines how much of that intelligence can be integrated into increasingly compact devices.

Bringing these areas together creates opportunities to develop systems that are smaller, smarter and better connected to real-world applications.

Research Across Thailand and the United Kingdom

SABER Lab operates through collaboration between research environments at MAHANAKORN and Imperial College London.

That connection gives researchers access to complementary expertise across integrated circuits, electronics, AI and biosensor technology.

It also creates a wider research pathway for people who want to take engineering beyond undergraduate study.

Instead of seeing semiconductor research only as something happening in distant technology hubs, students can see a direct academic connection between engineering education in Thailand and advanced research taking place internationally.

Why It Matters for Students

SABER Lab shows how far an engineering foundation can eventually develop.

An interest in electronic circuits can lead toward integrated circuit research.

Programming and AI can move into embedded intelligence.

Sensors can become part of healthcare or environmental technology.

A university laboratory therefore becomes more than a place to complete an experiment.

It can become the starting point for advanced research, postgraduate study and collaboration across countries and disciplines.

For students interested in future technology, that broader perspective matters because many of tomorrow’s engineering problems will not fit neatly inside one subject.

Where Could You Take It Next?

Communication & Electronics Engineering
Build foundations in electronic circuits, communication systems and advanced electronics that connect directly with semiconductor design, sensing and intelligent hardware.

Explore Communication & Electronics Engineering →

Computer & AI Engineering
Develop skills in computing, artificial intelligence and data for intelligent systems increasingly integrated with advanced electronic hardware.

Explore Computer & AI Engineering →

Master of Electrical & Electronics Engineering
Take electronics and electrical engineering further through advanced technical study and research.

Explore Master of Electrical & Electronics Engineering →

Postgraduate Research
Explore pathways into advanced research, international collaboration and technology development.

Explore Postgraduate Research →

The most interesting technologies often appear where different fields meet — and SABER Lab is built around exactly that intersection.

The Technology Behind Almost Everything

Semiconductors sit inside far more than computers and smartphones.

They are part of electric vehicles, robotics, satellites, AI systems, communication equipment and increasingly intelligent devices across almost every modern industry.

But building a semiconductor industry requires more than access to chips.

It requires people who understand how electronic systems are designed, developed, assembled, tested and improved.

That is the role of the MAHANAKORN National Semiconductor Training Center, an initiative focused on developing semiconductor knowledge, technical talent and research capability in Thailand.

From Chip Design to Circuit Boards

The center brings together different parts of the electronics development process.

Its facilities include an IC Design Lab and PCB & PCBA Lab, supporting education, research and technical training in areas that form part of the semiconductor and advanced-electronics ecosystem.

IC design focuses on the circuits that eventually become part of semiconductor devices.

PCB design determines how electronic components are connected together inside a working system.

PCBA moves one step further by assembling those components onto the board itself.

Together, these areas help connect an idea at circuit level with the physical electronics used inside real products.

The center is built around three important areas: curriculum development, technical training and industry collaboration, supported by advanced laboratory infrastructure.

Learning How Electronics Are Actually Built

One of the center’s important capabilities is its work with PCB and PCBA manufacturing.

Its facilities are designed to bring training closer to the processes used in electronics manufacturing.

This matters because designing electronics and manufacturing electronics are different challenges.

A circuit may work perfectly in a simulation.

The next questions are whether it can be manufactured, assembled, tested and produced reliably.

Understanding that transition gives students a wider view of how electronic products move from design into production.

Connected with Industry and Global Research

The National Semiconductor Training Center also acts as a connection point between education and the wider semiconductor ecosystem.

Its development is linked with industry collaboration, technical training, research and international academic partnerships.

That connection is important because semiconductor technology changes quickly.

Education cannot remain separated from the companies, researchers and manufacturing environments where that technology is evolving.

More Than Semiconductor Theory

For students, the value of the center is not simply learning what a semiconductor is.

It is seeing how multiple engineering areas connect around one industry.

Electronics engineers may work with circuits and hardware.

Computer and AI engineers increasingly depend on the chips powering intelligent systems.

Industrial engineers can contribute to manufacturing processes, quality and production systems.

Researchers may work on new devices, circuits or applications.

The semiconductor ecosystem needs all of those capabilities.

A training center that connects design, manufacturing, research and industry helps make that larger system easier to understand.

Where Could You Take It Next?

Communication & Electronics Engineering
Build foundations in electronic circuits, communication systems and advanced electronics that connect directly with semiconductor devices, IC design and modern electronic systems.

Explore Communication & Electronics Engineering →

Computer & AI Engineering
Develop skills in computing, artificial intelligence and data for intelligent systems increasingly powered by advanced semiconductor technology.

Explore Computer & AI Engineering →

Process & Industrial Engineering
Explore production systems, process optimisation and industrial technologies relevant to increasingly complex electronics and semiconductor manufacturing environments.

Explore Process & Industrial Engineering →

Postgraduate Research
Take engineering further through advanced research and opportunities connected with emerging technologies, electronics and international research collaboration.

Explore Postgraduate Research →

The semiconductor industry may begin at microscopic scale, but building it requires an entire ecosystem of people who know how to design, manufacture and improve the technology.

Engineering Beyond the Classroom

Engineering makes more sense when you can see it move, measure it, program it and build with it.

That idea sits behind MIIX — the Mahanakorn Institute of Innovation, an engineering and technology facility designed to bring practical experimentation closer to the student experience.

Completed in July 2021, MIIX was developed as an environment where theoretical knowledge could move into experimentation, hands-on practice and eventually real engineering applications. The facility represented an investment of more than THB 180 million in laboratories, equipment and learning environments focused on technology and innovation.

One Building, Multiple Engineering Systems

MIIX brings together laboratories covering several areas of modern engineering rather than focusing on a single discipline.

Facilities associated with the building include:

The university continues to list many of these facilities as part of its current engineering and technology learning environment, including Robotics, Embedded & AI, Advanced Electronics, automation, PLC and 3D printing facilities.

What makes that combination useful is the connection between them.

A student working on an automated system may need mechanical hardware, sensors, electronics, software and industrial control at the same time.

A prototype might begin as a digital design, become a physical part through 3D printing, and later be integrated with electronics or automation.

MIIX creates an environment where those technologies can be explored as parts of larger systems rather than isolated subjects.

From Industrial Robots to Advanced Electronics

The Robotics Lab has included industrial robotic arms from manufacturers such as ABB, KUKA and Yaskawa, giving students exposure to equipment used in industrial automation.

The Advanced Electronics Lab supports more specialised measurement and analysis, including high-frequency electrical signals, electromagnetic interference and wireless communication signals.

Meanwhile, the Embedded and AI Lab brings together measurement equipment, development tools and applications connected with industrial technology, giving students an environment for testing, analysing and developing new systems.

There is also a Process Control and Automation Lab, described in later university materials as an RO-water mini factory used to demonstrate process automation and industrial control in a working system.

These are different technologies, but they increasingly meet in the same industries.

Modern factories need robotics and automation.

Connected machines depend on embedded systems.

AI increasingly works alongside sensors and physical equipment.

Electronics connect the digital world with real machines.

Why MIIX Matters for Students

The value of a laboratory is not simply the equipment inside it.

It is what students can learn by working around real systems.

MIIX was developed around a progression from experiment to experience to expertise — allowing students to apply theoretical knowledge, test ideas and build practical capability through hands-on work.

That approach is especially important in engineering because real systems rarely behave exactly like diagrams.

Components need to work together.

Measurements need to be interpreted.

Designs need to be tested.

Problems appear that were not obvious at the beginning.

Working through that process is where engineering starts becoming more than a subject.

Where Could You Take It Next?

Computer & AI Engineering
Build foundations in computing, artificial intelligence and intelligent systems that can connect software and data with real engineering technologies.

Explore Computer & AI Engineering →

Communication & Electronics Engineering
Develop knowledge in electronics, circuits, communication systems and embedded technologies that connect directly with advanced electronics and intelligent hardware.

Explore Communication & Electronics Engineering →

Mechanical Engineering
Explore mechanics, engineering design, automation and physical systems that connect with robotics, manufacturing and advanced machines.

Explore Mechanical Engineering →

Process & Industrial Engineering
Learn how automation, process improvement and industrial systems can be used to design and improve modern production environments.

Explore Process & Industrial Engineering →

Engineering becomes more powerful when you can move from understanding how something works to actually building, testing and improving it.

From Research to Real-World Technology

The future of engineering is increasingly being shaped where artificial intelligence, semiconductor technology, biosensors and healthcare meet.

From 2–4 August 2026, Bangkok became a meeting point for that future as MAHANAKORN joined Imperial College London and Mahidol University in hosting IEEE BioSensors 2026, an international conference supported by the IEEE Sensors Council.

The event brought together researchers, technology developers, healthcare professionals, entrepreneurs and industry representatives to explore how emerging biosensor technologies can move beyond the laboratory and into real-world applications.

For MAHANAKORN, the significance goes beyond hosting an international conference.

It reflects a wider academic environment where engineering, computing and emerging technologies connect with global research and real-world challenges.

28 Countries. 226 Research Submissions. One Global Research Community.

IEEE BioSensors 2026 attracted 226 research submissions from 28 countries, bringing together ideas from across engineering, computing, healthcare and advanced technology.

Research presented at the conference covered areas including:

These fields may sound highly specialised, but they increasingly overlap.

A future engineer may need to understand software and data alongside electronics, sensing technology and physical systems. That ability to connect disciplines is becoming increasingly important as technology moves into healthcare, industry and everyday life.

Where Engineering Meets Real Problems

One of the most important questions behind the conference was simple:

How does an idea become technology that people can actually use?

Developing a new technology involves much more than creating a prototype.

Research must move through testing, engineering development, manufacturing, regulation and commercialisation before it can become something that reaches people in the real world.

IEEE BioSensors 2026 explored that journey, including the route from laboratory research to market-ready technologies such as point-of-care biosensors.

For students, this is an important view of what modern engineering can become.

Engineering is not only about learning how existing technology works. It is increasingly about learning how to design, test and build what comes next.

A Global Research Connection Beyond the Conference

The conference also builds on MAHANAKORN’s academic connection with Imperial College London through the Semiconductor AI & BioSensor Electronics Research Laboratory, or SABER Lab.

The collaboration brings together expertise across areas including semiconductor technology, artificial intelligence and biosensor electronics.

Relationships like these create an environment where research does not exist in isolation.

They connect universities, researchers, industry and future talent across borders — giving students a clearer view of how the technologies they study can develop into research, innovation and careers.

What Could You Build Next?

The technologies discussed at IEEE BioSensors 2026 bring together several fields that are already shaping tomorrow’s industries.

AI. Data. Electronics. Intelligent sensing. Semiconductor technology.

For students interested in building the technologies behind that future, these areas can begin with the right engineering foundation.

Computer & AI Engineering

Learn how computing, artificial intelligence and data can be used to solve real-world problems — from intelligent systems and automation to technologies that analyse and respond to complex information.

Explore Computer & AI Engineering →

Communication & Electronics Engineering

Build knowledge in electronics, communication systems and connected technologies — the foundations behind sensors, smart devices and many of the systems shaping modern engineering.

Explore Communication & Electronics Engineering →

Curious about where technology could take you?

You do not need to know exactly what you want to build yet.

The important part is starting in an environment where you can explore how engineering, AI and emerging technology connect to the real world.

See where your interests can take you at MAHANAKORN.

Technology Built for the Real World

How can artificial intelligence, satellites and robotics help protect the ocean?

That question was at the centre of the MAHANAKORN Innovation Zone at YOUNG รักษ์ทะเล: SEA THE CHANGE, an exhibition on marine conservation and ocean sustainability held at Siam Paragon from 29 July to 12 August 2026.

During the exhibition, Her Royal Highness Princess Sirivannavari Nariratana Rajakanya visited the Innovation Zone, where MAHANAKORN presented research and technology focused on environmental monitoring and sustainable ocean management.

Rather than presenting technology as separate disciplines, the showcase demonstrated how engineering, artificial intelligence, geospatial data and environmental science can work together to solve real problems.

From Satellite Data to Ocean Intelligence

Projects presented at the Innovation Zone included:

Together, these projects show how technologies often studied separately in the classroom can become much more powerful when they are connected.

A satellite can collect data. AI can help interpret it. Sensors can measure changing conditions. Robotics can reach environments that are difficult for people to access.

The result is engineering that does more than demonstrate technical capability — it can support decisions about ecosystems, pollution and natural resources.

Observe. Understand. Protect.

The Innovation Zone was presented under the idea “Observe • Understand • Protect,” reflecting an approach that moves from gathering data to understanding a problem and ultimately applying technology to create practical impact.

For students, this is also a useful picture of where modern engineering is heading.

The future is increasingly interdisciplinary. Building solutions for challenges such as climate change, environmental monitoring or smart infrastructure may require knowledge across AI, electronics, data, sensors, automation and mechanical systems rather than expertise in only one area.

Where Could You Take It Next?

Students interested in the technologies behind projects like these can begin building the foundations through several areas at MAHANAKORN.

Computer & AI Engineering
Explore how artificial intelligence, computing and data can be used to interpret information and build intelligent systems.

Communication & Electronics Engineering
Build foundations in electronics, communication systems and sensing technologies behind connected devices and monitoring systems.

Mechanical Engineering
Explore automation, robotics and engineering systems that connect digital intelligence with the physical world.

See where technology can take you at MAHANAKORN.

Learning AI Where It Is Being Built

Artificial intelligence is moving quickly from theory into the way technology teams actually work.

On 23 July 2026, MAHANAKORN students from the Faculty of Engineering and Technology joined Agoda Tech Camp Day 11 at Agoda Headquarters in One Bangkok, gaining direct exposure to AI, software development and the working environment of a global technology company.

The experience gave students a closer look at how emerging technologies are being used beyond the classroom — and what skills are becoming more important for careers in the digital economy.

Inside the Agentic AI Workshop

A key part of the day was the workshop:

“Vibe Coding Lab: Building the Future with Agentic AI”

Led by Agoda engineers, the session introduced students to practical AI applications in software development and gave them a clearer view of how new tools are changing the way digital products are built.

For students, that matters because learning about AI is very different from seeing how professionals actually use it in a real technology environment.

The camp helped connect technical knowledge with questions such as:

From Classroom Skills to Career Perspective

The program also gave students opportunities to speak with technology professionals, learn about career pathways in the industry and experience the culture of a major international technology company firsthand.

That kind of exposure adds another layer to engineering education.

Technical skills matter, but so does understanding how those skills are applied in real teams, real companies and fast-changing industries.

For students preparing for careers in AI, software, data and digital technology, industry experiences like this can help turn classroom learning into a clearer picture of what comes next.

Where Could This Take You?

Students interested in AI, software and intelligent systems can start building those foundations through:

Computer & AI Engineering
Explore artificial intelligence, software engineering, data and intelligent systems — and how they can be applied to real-world technology challenges.

Explore Computer & AI Engineering →

See where your interests in AI and technology can take you at MAHANAKORN.