Computing’s Top 30: Basil Reji

Basil Reji is one of our "Computing's Top 30 Early Career Professionals" for 2025. This program seeks to highlight an esteemed group of rising stars who earned this honor for their exceptional early-career achievements and role in driving advancements across the computing landscape. 

Introduction

My name is Basil Reji, and I am currently working as a researcher at Northeastern University. My work focuses on developing algorithms to detect and classify microcracks in photovoltaic solar panels using traditional computer vision, deep learning, and artificial intelligence techniques. I am conducting this research under the guidance of Prof. Bruce Maxwell.

Solar energy systems are expected to operate reliably for decades, but subtle defects such as microcracks can significantly affect performance and long-term durability. These cracks are often invisible to the naked eye and require specialized imaging methods such as electroluminescence imaging to detect them. My research aims to build intelligent vision systems that can automatically identify these defects and help improve the reliability and efficiency of solar energy infrastructure.

My academic background combines electrical engineering, robotics, and artificial intelligence. I completed my bachelor’s degree in electrical and Electronics Engineering from Cochin University of Science and Technology in India, followed by professional experience as a Data Engineer at Ernst & Young. I later pursued a master’s degree in Robotics with a specialization in Electrical and Computer Engineering, where I focused on the intersection of AI, computer vision, and sustainable energy technologies.

What inspired you to pursue a career in technology?

One of the early inspirations that shaped my interest in technology was the life and work of Dr. A P. J. Abdul Kalam. His journey from a modest background to becoming one of the most respected scientists and leaders in India demonstrated how engineering and scientific thinking can transform societies. What fascinated me most about him was not only his contributions to engineering and technology but also the way he encouraged young people to pursue science and innovation. Seeing how his work gained global recognition, including the fact that his birthday is celebrated as Science Day in Switzerland, made a lasting impression on me when I was younger.

That inspiration gradually evolved into a deeper curiosity about how engineering and technology could solve real-world problems. Over time, I became particularly interested in areas where technology intersects with global challenges such as energy sustainability and climate change. Artificial intelligence and data-driven systems provide powerful tools to analyze complex systems, and I saw an opportunity to apply these tools to areas like renewable energy and infrastructure monitoring.

What do you consider your highest achievement so far?

One of the achievements I am most proud of is receiving second place internationally in the Myron Zucker Undergraduate Design Contest organized by the IEEE Industry Applications Society. This international competition recognizes innovative engineering designs with potential industrial impact. For this competition, my team and I designed a prototype of an omnidirectional robotic vehicle intended to address a common challenge in industrial logistics. Traditional forklifts require significant turning space in warehouses and manufacturing environments. Our design proposed a robotic system capable of moving in multiple directions without the need for large turning radii, which could potentially improve efficiency and safety in industrial settings.

Another important milestone in my career has been my current research on microcrack detection in solar panels. My master’s capstone project focused on detecting defects in photovoltaic cells using electroluminescence imaging combined with computer vision techniques. This research was presented and published at the IEEE IAS International Conference on Industry Applications 2024 in São Sebastião, Brazil. Presenting this work on an international stage was a rewarding experience and reinforced my interest in applying artificial intelligence to energy systems.

In addition, I have been invited to serve as a peer reviewer for the IEEE/ASME Transactions on Mechatronics, which is an opportunity I value because it allows me to contribute to maintaining the quality and rigor of research within the engineering community.

How do you plan to continue or build on that success?

My long-term goal is to continue working at the intersection of artificial intelligence, computer vision, and renewable energy systems. As solar installations expand worldwide, maintaining their performance and reliability will become increasingly important. Intelligent diagnostic systems can play a key role in identifying faults early and prevent long-term efficiency losses. I plan to build on my current research by developing more robust and scalable AI models capable of analyzing large volumes of photovoltaic imaging data. Integrating deep learning with physics-informed modeling and advanced imaging techniques could significantly improve how solar infrastructure is monitored and maintained. Beyond solar diagnostics, I am also interested in broader applications of AI in sustainable energy systems. Areas such as battery diagnostics, energy infrastructure monitoring, and intelligent grid management present exciting opportunities where machine learning can contribute to improving efficiency, reliability, and resilience.

Who do you draw inspiration from and how did that motivate you in your education or career?

As mentioned earlier, A. P. J. Abdul Kalam has been a major source of inspiration for me. His emphasis on scientific curiosity, education, and national development through technology resonated strongly with me as I began my engineering journey. His career demonstrated that engineering is not just about building systems but also about solving meaningful problems that benefit society. That perspective encouraged me to pursue research areas where technology can have a broader impact, particularly in sustainability and energy. Another aspect of his philosophy that influenced me was his commitment to encouraging young scientists and engineers. He often spoke about the importance of dreaming big and pursuing ambitious ideas. That mindset has guided many of my academic and research decisions.

How are you currently involved in the tech community aside from your job?

Outside my research work, I actively engage with the engineering community through several initiatives. I am involved with the Institute of Electrical and Electronics Engineers (IEEE), where I contribute to professional and student engagement programs. I currently serve as a Brand Ambassador for IEEE and have also been involved with the IEEE Power & Energy Society Young Professionals community in the Kerala Section as their research & Development Ambassador. These roles allow me to help promote engineering initiatives, connect with early-career professionals, and support technical activities within the community. I am also involved in academic service activities such as peer reviewing research papers. Reviewing papers provides an opportunity to stay engaged with emerging research while contributing to the broader scientific ecosystem.

Is there any emerging technology or industry segment you find exciting or interesting?

One of the areas I find particularly exciting is the use of artificial intelligence for climate and energy systems. AI is increasingly being applied to problems such as renewable energy forecasting, infrastructure monitoring, grid optimization, and energy efficiency. In the context of solar energy, computer vision combined with advanced imaging methods can transform how photovoltaic systems are inspected and maintained. Automated diagnostic systems can analyze large numbers of panels quickly and identify defects that would otherwise be difficult to detect. More broadly, AI has the potential to play a significant role in improving the reliability and scalability of renewable energy technologies. As energy systems become more complex and data-driven, intelligent algorithms will become essential tools for managing and optimizing these systems.

How do you see technology shaping humanitarian efforts or social good in the next five years?

Over the next five years, I believe artificial intelligence will play an important role in improving access to energy and supporting sustainable development. Reliable electricity remains a challenge in many parts of the world, and renewable energy technologies such as solar power are becoming a key solution. AI can help improve how these systems are deployed and maintained. For example, predictive maintenance algorithms can identify equipment failures before they occur, while data-driven optimization can improve how energy is generated and distributed. In regions where technical expertise and maintenance resources are limited, intelligent monitoring systems could help ensure that renewable energy installations remain functional and efficient over time. In this way, AI can support not only technological progress but also humanitarian goals such as energy access and sustainable infrastructure development.

If you have ever worked cross-discipline, how did that influence your way of thinking or the way you approach your work?

Much of my work has been interdisciplinary. My academic background combines electrical engineering, robotics, and artificial intelligence, and my research often sits at the intersection of these fields. Working across disciplines has helped me approach problems from multiple perspectives. For example, detecting microcracks in solar panels is not purely a computer vision problem. It requires understanding photovoltaic physics, imaging techniques, and machine learning algorithms simultaneously. This interdisciplinary approach encourages more holistic thinking. Instead of focusing on a single technical domain, it allows researchers to design solutions that integrate knowledge from multiple areas.

What advice would you give to young professionals or recent graduates who are trying to enter your field?

My advice to young professionals entering fields such as artificial intelligence or robotics would be to build strong foundations while staying curious about real-world applications. First, develop a solid understanding of the fundamentals, particularly mathematics, programming, and core engineering concepts. These fundamentals remain valuable regardless of how technologies evolve. Second, work on projects that connect theory to practical problems. Many of the most impactful innovations happen when technical knowledge is applied to real challenges in areas such as healthcare, energy, or sustainability. Finally, stay engaged with the broader research and professional community. Conferences, professional organizations, and collaborative projects can expose you to new ideas and opportunities. Technology evolves rapidly, and continuous learning is one of the most important habits a young professional can develop.

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