2026-03-17 04:42:45
In the fictional nation of Beryllia, the 2026 World Chalice Games were set to begin as the country faced an unrelenting heat wave. The grid, already under strain from the circumstances, was dealt a further blow when a coordinated set of attacks including vandalism, drone, and ballistic attacks by an adversary, Crimsonia, crippled the grid’s physical infrastructure.
This scenario, inspired by the upcoming 2026 World Cup and the 2028 Olympic Games in Los Angeles, was an exercise in studying how utilities can prevent and mitigate, among other dangers, physical attacks on power grids. Called GridEx, the exercise was hosted by the Electricity Information Sharing and Analysis Center (E-ISAC) from 18 to 20 November, 2025. GridEx has been held every two years since 2011.
“We know that threat actors look to exploit certain circumstances,” says Michael Ball, CEO of E-ISAC, which is a program of the North American Electric Reliability Corporation (NERC), about designing the Beryllia scenario. “The Chalice Games became a good example of how we could build a scenario around a threat actor.”
Physical attacks on the grid are rising in the U.S., and GridEx attendance was up in November as utilities grapple with how to prevent and mitigate attacks. Participation in the exercise was at its highest level since 2019, according to a report released on 2 March. Given the number of organizations present, GridEx estimates that more than 28,000 individual players participated, including utility workers and government partners, an all-time high since the exercise began.
The U.S. and Canadian grids face growing security issues from physical threats, including vandalism, assault of utility workers, intrusion of property, and theft of components, like copper wiring. NERC’s 2025 E-ISAC end of year report cites more than 3,500 physical security breaches that calendar year, about 3 percent of which disrupted electricity. That’s up from 2,800 events cited in the 2023 report (3 percent of those also resulted in electricity disruptions). Yet despite a number of recent high-profile attacks in the U.S., physical attacks on the grid are happening worldwide.
“They’re not uniquely a U.S. thing,” says Danielle Russo, executive director of the Center for Grid Security at Securing America’s Future Energy, a nonpartisan organization focused on advancing national energy security. Russo says that while attacks are common in places like Ukraine, they’re not limited to wartime scenarios. “Other countries that are not experiencing direct conflict are experiencing increasing amounts of physical attacks on their energy infrastructure,” she says. Take Germany for example: On 3 January, an arson attack by left-wing activists in Berlin caused a five-day blackout impacting 45,000 households. That comes after a suspected arson attack on two pylons in September 2025 left 50,000 Berlin households without power. Some German officials cite domestic extremism and fears of Russian sabotage in recent years as reasons for heightened security concerns over critical infrastructure.
The uptick in attacks on the U.S. grid has been anchored by a number of incidents in recent years. In December 2025, an engineer in San Jose, California was sentenced to 10 years in prison for bombing electric transformers in 2022 and 2023. A Tennessee man was arrested in November 2024 for attempting to attack a Nashville substation using a drone armed with explosives. And in 2023, a neo-Nazi leader was among two arrested in a plot to attack five substations around Baltimore with firearms, part of an increasing trend in white supremacist groups planning to attack the U.S. energy sector.
“Since [E-ISAC] started publishing data back in 2016, we’ve seen a large and consistent increase in the number of reported physical security incidents per year,” says Michael Coe, the vice president of physical and cyber security programs at the American Public Power Association, a trade group that works with E-ISAC to plan GridEx. While not all data is publicly available, Coe says there’s been a “tenfold” increase over the past decade in the number of reported physical attacks on the grid.
During the fictional World Chalice Games scenario, drone attacks destroyed Beryllia’s substation equipment, highlighting a threat that’s gained traction as more drones enter the airspace.
“The question we get all the time is, how do you tell if it’s a bad actor, or if it’s a 12-year-old kid that got the drone for their birthday?” says Erika Willis, the program manager for the substations team at the Electric Power Research Institute (EPRI).
One strategy to track and alert utilities to potential threats such as drones is called sensor fusion. The system includes a pan-tilt-zoom camera capable of 360-degree motion mounted on top of a tripod or pole with four installed radars. The radars combine with the camera for a dual system that can track drones even if they’re obstructed from view, says Willis. For instance, if a nearby drone flies behind a tree, hidden from the camera, the radars will still pick up on it. The technology is currently being tested at EPRI’s labs in Charlotte, North Carolina and Lenox, Massachusetts.
EPRI is also exploring how robotics and AI can improve security systems, Willis says. One approach involves integrating AI analysis into robotic technology already surveilling substation perimeters. Using AI can improve detection of break-ins and damage to fencing around substations, Willis says. “As opposed to a human having to go through 200 images of a fence, you can have the AI overlays do some of those algorithms…If the robot has done the inspection of the substation 100 times, it can then relay to you that there’s an anomaly,” Willis says.
Prisma Photonics deploys fiber sensing technology that uses reflected optical signals to detect perturbations from vehicles and other sources near underground fiber cable.Prisma Photonics
Already, a number of utilities in the U.S. are using AI integrations in their security and monitoring processes. That’s thanks in part to the Tel Aviv, Israel-based Prisma Photonics, a software company that launched in 2017 and has since deployed its fiber sensing technology across thousands of miles of transmission infrastructure in the U.S., Canada, Europe, and Israel. A file-cabinet-sized unit plugs into a substation and sends light pulses down existing fiber optic cables 30 miles in each direction. As the pulses travel down the cables, a tiny fraction of the light is reflected back to the substation unit. An AI model processes the results and can classify events based on patterns in the optical signal as a result of perturbations happening around the fiber cable.
“If we identify an event that we don’t have a classification for, and we get a feedback from a customer saying, ‘oh, this was a car crash,’ then we can classify that in the model to say this is actually what happened,” says Tiffany Menhorn, Prisma Photonics’ vice president of North America.
As preparations get underway for the ninth GridEx in 2027, Ball says participation in the exercises alone isn’t enough to bolster grid security. Instead, he wants utilities to take what they learn from the training and apply it in their own operations. “It’s the action of doing it, versus our statistic of saying, ‘here’s what our growth was.’ That growth should relate to the readiness and capability of the industry.”
I changed the tense on this because the subsequent sentences use past tense. It seemed weird to switch from present tense in the first sentence to past tense in the rest of the paragraph, but I could be mistaken.
2026-03-17 04:00:03
The America’s Talent Strategy: Building the Workforce for the Golden Age report, published last year by the U.S. Departments of Commerce, Education, and Labor, identified a significant engineering and skills gap. The 27-page report concluded that the shortage of talent in essential areas—including advanced manufacturing, artificial intelligence, cloud computing, and cybersecurity—poses significant risks to U.S. economic and technological leadership.
To help attract talent in those fields, the Labor Department last month introduced incentives for apprenticeships, including a US $145 million “pay for performance” grant program. The funding aims to develop registered apprenticeships in high-demand fields including artificial intelligence and information technology.
Reacting to the urgent national need for targeted workforce development were members of IEEE Young Professionals, led by Alok Tibrewala, an IEEE senior member. He is a cochair of the IEEE North Jersey Section’s Young Professionals group.
“As a software engineer, this impending shortage concerns me because I believe that the U.S. AI and cybersecurity skills gap would show up first in the early-career pipeline,” Tibrewala says. “Students will be entering the U.S. workforce without enough hands-on experience building secure AI-enabled enterprise and cloud systems, and this gap will persist without practical, mentor-led training before graduation.”
Tibrewala led a strategic planning session with representatives from the New Jersey Institute of Technology, IEEE Member and Geographic Activities, and IEEE Young Professionals to discuss holding an event that would provide practical, industry-relevant training by experts and IEEE leaders.
“I was able to establish a partnership with NJIT, recruit speakers, design the event’s agenda, and promote the event to ensure it was aligned with the strategy outlined in the workforce report,” he says. “This effort aligns with broader U.S. workforce development priorities focused on industry-driven skills training in critical technology areas.”
The IEEE Buildathon event was held on 1 November at NJIT’s Newark campus. More than 30 students and early-career engineers heard from 11 speakers. Through interactive workshops, live demonstrations, and networking opportunities, they left with practical, employer-aligned skills and clearer career pathways for AI-era skills-building.
Tibrewala chaired the event and also serves as chair of the IEEE Buildathon program.
Region 1 Director Bala S. Prasanna, a life senior member, gave the keynote address. He emphasized the need for universities, industry practitioners, and IEEE volunteer leaders to collaborate on programs to enhance technical skills.
IEEE Member Kalyani Matey, cochair of the IEEE North Jersey Section’s Young Professionals, conducted a workshop on how to build one’s personal brand and a responsive network. Participants received valuable insights about résumé building, effective communication strategies, and enhancing their visibility and employability.
“Over time, this kind of structured, employer-aligned training will help increase confidence, employability, and technical readiness across the country. With sustained support, programs like the IEEE Buildathon can become a practical bridge from education to industry in the AI era.” —Alok Tibrewala
Tibrewala led the Unlocking AI’s Potential: Solving Big Challenges With Smart Data and IEEE DataPort session. The web-based DataPort platform allows researchers to store, share, access, and manage their research datasets in a single, trusted location. He discussed needed skills including AI literacy, strong data handling and dataset stewardship, and turning data into actionable insights.
Chaitali Ladikkar, a senior software engineer, delivered the insightful Brains Behind the Game seminar. Ladikkar, an IEEE member, highlighted the transformative impact AI is having on gaming and game engine technologies. She explained how AI is reshaping game development. She also covered how machine learning is being used for animation, faster content generation and testing of new titles. Her seminar received enthusiastic feedback from participants.
The Building Better Business Relationships DiSC workshop provided insights into enhancing professional relationships and communication within an engineering workforce. DiSC is a behavioral self-assessment used to understand an individual’s communication style and to adapt to others.
The event received high praise from participants for its practical and industry-relevant content, according to Tibrewala.
“This training significantly enhanced my understanding and readiness for industry roles, filling gaps my regular academic coursework did not fully address,” said Humna Sultan, an IEEE student member who is a senior studying computer science at Stevens Institute of Technology, in Hoboken, N.J.
“The Buildathon was structured around real engineering challenge scenarios that deepened my understanding of AI and cloud technologies,” said Carlos Figueredo, an IEEE graduate student member who is studying data science at the University of Michigan, in Ann Arbor. “It boosted my confidence and practical skills essential for the industry.”
Bavani Karthikeyan Janaki said “it was incredible to see how technology and sustainability came together to drive real-world impact, thanks to the dedicated efforts of the organizers including Tibrewala, Matey, and the IEEE North Jersey Young Professionals.” Janaki is pursuing a master’s degree in computer and information science at Long Island University, in New York.
The Buildathon was made possible through grants from the IEEE Young Professionals group and funding from the IEEE North Jersey Section and IEEE Member and Geographic Activities. Their support shows how IEEE’s professional organizations can collaborate to address workforce needs by supporting the delivery of technical sessions that strengthen early-career pipelines.
Building on the event’s success, Tibrewala and Matey plan to make the IEEE Buildathon an ongoing initiative. They are exploring ways to expand it to additional university campuses and IEEE communities.
Tibrewala says they plan to refine the format based on participant feedback and lessons learned. To support consistent quality, he and Matey say, they are working on a playbook for organizers that will include a repeatable agenda, a workshop template, speaker guidelines, and post-event feedback forms.
The approach depends on continued coordination among host universities, local IEEE sections, and Young Professional volunteers, Tibrewala says.
“Enabling other groups to run similar events,” he says, “can help more students and early-career engineers gain practical exposure to AI, data, cloud, cybersecurity, and other key emerging technologies in a structured setting.
“Efforts like this help translate national workforce priorities into real training that students and early-career engineers can apply immediately to their projects. This also helps close the gap between classroom learning and the realities of building secure, reliable systems in production environments. Over time, this kind of structured, employer-aligned training will help increase confidence, employability, and technical readiness across the country.
“With sustained support, programs like the IEEE Buildathon can become a practical bridge from education to industry in the AI era.”
2026-03-16 18:00:04
The biosphere transmits data 9 orders of magnitude faster than the technosphere. A new class of nanophotonic tools is beginning to close that gap.
In this webinar, Prof. Dionne will present VINPix: Si-photonic resonators with high-Q factors (thousands to millions), subwavelength mode volumes, and densities exceeding 10M/cm². Combined with acoustic bioprinting and AI, they may enable detection of multiomic signatures — genes, proteins, and metabolites on a single chip — at previously unattainable rates, opening new possibilities for molecular communication systems and biochemical sensing for health and sustainability.
Key Takeaway:
2026-03-14 00:00:04
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.
Enjoy today’s videos!
All legged robots deployed “in the wild” to date were given a body plan that was predefined by human designers and could not be redefined in situ. The manual and permanent nature of this process has resulted in very few species of agile terrestrial robots beyond familiar four-limbed forms. Here, we introduce highly athletic modular building blocks and show how they enable the automatic design and rapid assembly of novel agile robots that can “hit the ground running” in unstructured outdoor environments.
[ Northwestern UniversityCenter for Robotics and Biosystems ] [ Paper ] via [ Gizmodo ]
If you were going to develop the ideal urban delivery robot more or less from scratch, it would be this.
[ RIVR ]
Don’t get me wrong, there are some clever things going on here, but I’m still having a lot of trouble seeing where the unique, sustainable value is for a humanoid robot performing these sorts of tasks.
[ Figure ]
One of those things that you don’t really think about as a human, but is actually pretty important.
[ Paper ] via [ ETH Zurich ]
We propose TRIP-Bag (Teleoperation, Recording, Intelligence in a Portable Bag), a portable, puppeteer-style teleoperation system fully contained within a commercial suitcase, as a practical solution for collecting high-fidelity manipulation data across varied settings.
[ KIMLAB ]
We propose an open-vocabulary semantic exploration system that enables robots to maintain consistent maps and efficiently locate (unseen) objects in semi-static real-world environments using LLM-guided reasoning.
[ TUM ]
That’s it folks, we have no need for real pandas anymore—if we ever did in the first place. Be honest, what has a panda done for you lately?
[ MagicLab ]
RoboGuard is a general-purpose guardrail for ensuring the safety of LLM-enabled robots. RoboGuard is configured offline with high-level safety rules and a robot description, reasons about how these safety rules are best applied in robot’s context, then synthesizes a plan that maximally follows user preferences while ensuring safety.
[ RoboGuard ]
In this demonstration, a small team responds to a (simulated) radiation contamination leak at a real nuclear reactor facility. The team deploys their reconfigurable robot to accompany them through the facility. As the station is suddenly plunged into darkness, the robot’s camera is hot-swapped to thermal so that it can continue on. Upon reaching the approximate location of the contamination, the team installs a Compton gamma-ray camera and pan-tilt illuminating device. The robot autonomously steps forward, locates the radiation source, and points it out with the illuminator.
[ Paper ]
On March 6th, 2025, the Robomechanics Lab at CMU was flooded with 4 feet of black water (i.e. mixed with sewage). We lost most of the robots in the lab, and as a tribute my students put together this “In Memoriam” video. It includes some previously unreleased robots and video clips.
[ Carnegie Mellon University Robomechanics Lab ]
There haven’t been a lot of successful education robots, but here’s one of them.
[ Sphero ]
The opening keynote from the 2025 Silicon Valley Humanoids Summit: “Insights Into Disney’s Robotic Character Platform,” by Moritz Baecher, Director, Zurich Lab, Disney Research.
[ Humanoids Summit ]
2026-03-13 21:01:02
Raquel Urtasun has spent 16 years in the self-driving space, long enough to navigate every metaphorical glorious hill and plunging valley. She took the trip from the early “pipe dream” dismissals, to the “we’re this close” certainty, and back again.
The industry is now riding a new wave of optimism and investment, including at Waabi Innovation Inc., the autonomous trucking company that Urtasun founded in 2021. The Spanish-Canadian professor at the University of Toronto, and former chief scientist of Uber’s Advanced Technologies Group, has helped make Waabi a key player. Beginning in fall 2023, theToronto-based startup has been running geofenced cargo routes from Dallas to Houston in a fleet of retrofitted Peterbilt semis, navigating even residential streets in loaded, 36,000-kilogram (80,000-pound) behemoths with a human “safety observer” on board.
In October, the company reached a milestone by integrating its “Waabi Driver” physical-AI system in Volvo’s new VNL Autonomous truck, which the Swedish automaker is building in Virginia. That self-driving solution uses Nvidia’s Drive AGX Thor, an AI-based platform for autonomous and software-defined vehicles.
In January, the Toronto-based startup raised $750 million in its latest funding round to accelerate commercial development in autonomous trucking, and expand its system into the fiercely competitive robotaxi space. Backers include Khosla Ventures, Nvidia, and Volvo.
Urtasun says the Waabi Driver can scale across a full range of vehicles, geographies and environments—although snowstorms can still create a no-go zone for now. It’s powered by what Urtasun calls the industry’s most advanced neural simulator. The verifiable, end-to-end AI model will be a “shared brain” that partners can transplant into cars, trucks, and pretty much anything on wheels. The idea is to grab a chunk of a global autonomous trucking business that McKinsey estimates could be worth more than $600 billion a year by 2035; with autonomous haulers responsible for 15 percent of total U.S. trucking miles as early as 2030.
Backed by an additional $250 million from Uber, Waabi plans to deploy at least 25,000 autonomous taxis through Uber’s ride-hailing service, whose world-dominating reach encompasses 70 countries, about 15,000 cities and more than 200 million monthly users.
Urtasun spoke with IEEE Spectrum about how Waabi is counting on sensors and simulation to prove real-world safety; and why the move to autonomy is a moral imperative that outweighs the disruption for human drivers—whether they’re driving trucks or family sedans. Our conversation was edited for length and clarity.
IEEE Spectrum: Until quite recently, autonomous tech seemed to have hit a wall, at least in the public’s mind. Now investors are flooding the zone again, and companies are all-in. What happened?
Raquel Urtasun: There were a lot of empty promises, or [people] not realizing the complexity of the problem. There was a realization that actually, this problem is harder than people anticipated. It’s also because of the type of technology that was developed at the time, what we call “AV 1.0”. These are hand-engineered systems that need to be brute-forced by humans. You need lots of capital and a massive amount of miles on the road just to get to the first deployment.
What you see with the next generation—AV 2.0 and systems that can reason—is that you finally have a solution that scales. When we started the company, this was a very contrarian view. But today, the breakthroughs in AI have made it clear that this is the next big revolution. It’s not just about more compute; it’s about building a brain that can generalize. That is the “aha moment” the industry is having now.
Even for someone who believes in the tech, seeing a driverless semi-trailer in your rear-view mirror might be unsettling. Now you’ve integrated your tech into the aerodynamic, diesel-powered Volvo VNL Autonomous truck. How do you convince regulators and the public that these trucks belong on the street?
Urtasun: Safety, when you think about carrying 80,000 pounds on this massive rig, is definitely top of mind. We believe the only way to do this safely is with a redundant platform that is fully developed and validated by the OEM, not with a retrofit. The OEM does a special type of truck that has all the redundant steering, power, and braking, so that no matter what happens, there is always a way we can interface and activate that truck in a safe manner. Then we are responsible for the sensors, the compute, and obviously the brain that drives those trucks.
One of the biggest points of contention is the displacement of human drivers. As AI disrupts a range of workplaces, how do respond to people who say this will eliminate good-paying, blue-collar jobs?
Urtasun: The way we see this is that everybody who’s a truck driver today, and wants to retire as a truck driver, will be able to do so. This is physical AI; this is not like the digital world where suddenly you can switch immediately to this technology. That adoption and scaling is going to take time. There will also be many jobs created with this technology; remote operations, terminal operations, and other things. You have time to change the form of labor of being on the road, which is for weeks at a time—and it’s a really difficult and dehumanized job, let’s be honest—to something you can do locally. There was an interesting [U.S.] Department of Transportation study that showed because of this gradual adoption, there will be more jobs created than actually removed.
You’ve spoken about a personal motivation behind this. Why do you believe the advantages of autonomy outweigh any growing pains, including the potential for unexpected accidents or even deaths?
Urtasun: There are 2 million deaths on the road globally per year, and nobody’s questioning that. That’s the status quo. If you think the machines have to be perfect to deploy, you are actually sacrificing many humans along the way that you could have saved. Human error in accidents is between 90 percent and 96 percent. Those could be preventable accidents. Some accidents will always be unavoidable; a tire could blow for a machine the same as it could for a human. But the important comparison is how much safer we are. This technology is the answer to many, many things.
Most of the industry is focused on “hub-to-hub” highway driving. But you’ve argued that Waabi’s AI can handle the complexity of local streets.
Urtasun: The rest of the industry has gone with this business model where you need hubs next to the highway. This adds a lot of friction and cost. Thanks to our verifiable end-to-end AI system, we can drive in surface [local] streets. We can do unprotected lefts, traffic lights, and tight turns. These core capabilities enable us to drive all the way to the end customer. We are already hauling commercial loads for customers like Samsung through our Uber Freight partnership.
You’ve mentioned that Waabi doesn’t like to talk about “number of miles” driven as a metric. For an engineering audience, that sounds counterintuitive. How does your “simulation-first” approach replace the need for real-world road time?
Urtasun: In the industry, miles have been used as a proxy for advancement. How many miles does Tesla need to drive to see any of these situations? But we are a simulation-first company. Waabi World can simulate all the sensors, the behaviors of humans, everything. It is the only simulator where you can mathematically prove that testing and driving in simulation is the same as driving in the real world. You can expose the system to billions of simulations in the cloud. This is what allows us to be so capital efficient and fast.
What is the difference between your “interpretable” AI and the “black box” systems we see elsewhere?
Urtasun: We’ve seen an evolution on passenger cars for level- 2+ systems to end-to-end, black box architectures. But those are not verifiable. You cannot validate and verify those systems, which is a massive problem when you think about regulators and OEMs trusting that technology.
What Waabi has built is end-to-end, but fully verifiable. The system is forced to interpret what it is perceiving and use those interpretations for reasoning, so that it can understand the consequences of every action. It is much more akin to how our brain actually works; your “Type 2” thinking, where you start thinking about cause and effect and consequences, and then you typically do a much better choice in your maneuver.
Tesla is famously, and controversially, relying on camera data almost exclusively to run and improve its self-driving systems. You’re not a fan of that approach?
Urtasun: We use multiple sensors: lidar, camera, and radar. That’s very important because failure modes of those sensors are very different and they’re very complementary. We don’t compromise safety to reduce the bill- of- materials cost today.
Those (passenger car) level-2+ systems are not architected for level 4, where there’s no human on board. People don’t necessarily realize there is a huge difference in terms of the bar when there is no human to rely on. It’s not, “Well, if I don’t have a lot of system interventions, I’m almost there.” That’s not a metric. We are native level 4. We decide which areas the system can drive in, and in what conditions. We are building technology that can drive different form factors—trucks or robotaxis—with the same brain.
Editor’s note: This article was updated on 13 March to correct an error in the original post. Contrary to what was stated in the original post, the trucks being driven from Dallas to Houston do have a human observer on board.
2026-03-13 02:00:04
Engineering is so much more than solving problems or writing efficient code. It is about creating solutions that affect billions of lives and contributing to a profession built on innovation, responsibility, and collaboration. Although technical skills remain critical, what truly will accelerate the growth of the next generation of engineers is community and professional involvement.
University programs provide a strong foundation in theory and practice, but they cannot capture the complexity of real-world engineering. As an IEEE senior member, I believe professional communities such as IEEE can help bridge the gap by offering:
I have served as a mentor and judge for a variety of hackathons across different age groups, including high school competitions United Hacks and NextStep Hacks, as well as graduate-level events such as HackHarvard.
The experiences demonstrate how transformative community-driven opportunities can be for young engineers. They provide exposure to teamwork, innovation, and the realities of solving problems at scale.
Engineers don’t develop skills in isolation. Mentorship, whether formal or informal, plays a pivotal role in shaping careers. Senior professionals who invest in guiding students and early-career engineers pass on more than technical knowledge. They share decision-making approaches, ethical considerations, and strategies for navigating careers, thereby expanding the engineering field.
As a keynote speaker at conferences, I have seen how sharing real-world experiences can ignite students’ curiosity and confidence. What they often value most is not a lecture on technology but candid insights into how to be resilient, grow their career, and learn about the different engineering paths.
With the rise of artificial intelligence, biotechnology, and other high-impact innovations, engineers’ ethical responsibilities are more important than ever. Professional organizations such as IEEE and ACM emphasize codes of ethics and standards to help ensure that technology is developed responsibly.
Through my work as a peer reviewer and committee member for IEEE and ACM conferences, including those at the university level, I have seen how the organizations promote rigor and accountability.
When students engage with such communities early, they can not only expand their technical knowledge but also build an understanding of responsible innovation.
Engineering breakthroughs often emerge at the intersections of different fields. Professional communities create the space for such interactions. A student working on computer vision, for example, might discover health care applications by collaborating with biomedical engineers.
While reviewing papers for conferences, I have seen how interdisciplinary ideas spark promising innovations.
I bring the same perspective to my role as an IEEE Collabratec mentor, connecting with innovators across different disciplines and industries.
“When we invest in the community, we invest in the future of engineering.”
By collaborating on projects and expanding your reach, you can find the mentors or partners you need to inspire your next breakthrough.
Participating in forums allows students and professionals alike to broaden their horizons and explore solutions that go beyond traditional boundaries.
Community involvement is not only about what you gain. It is also about what you give. Engineers who volunteer for educational programs, STEM initiatives, and professional committees can develop leadership skills that extend beyond technical expertise. They can learn to inspire, organize, and guide others.
Judging hackathons and mentoring student teams reminds me that leadership often begins with service. When experienced professionals actively invest in the growth of others, they help create a culture wherein learning and leadership are passed forward.
Learning how to be an engineer doesn’t end when you earn your degree. It is a lifelong journey of learning, adapting, and contributing. By engaging with communities and professional networks early, students and graduates can develop habits that serve them throughout their career. They can stay current with emerging trends, build trusted professional relationships, and gain resilience through shared challenges.
Community involvement can transform engineers from problem-solvers into change agents.
The future of engineering depends not only on technological advancement but also on the collective strength of its communities. By fostering mentorship, encouraging collaboration, and embedding ethical responsibility, professional and community involvement can ensure that the next generation of engineers is prepared to meet tomorrow’s challenges with competence and character.
My journey as a mentor, judge, keynote speaker, and peer reviewer has reinforced a clear truth: When we invest in the community, we invest in the future of engineering. The students and young professionals we support today will be the ones building the world we live in tomorrow.