VHB continues to strengthen its decades-long partnership with Northeastern University in Boston, and recently sponsored a second PhD student specializing in data science to bring leading-edge academic tools and artificial intelligence (AI) insight to our work with clients through the university’s LEADERs Program.
Nader Lobandi joined VHB’s Watertown, MA, team, dedicating the Spring 2024 semester to collaboration with Michael Parkin, Institutional Technology Leader; Scott Ringle, Technology Enablement AI Lead; Keith Smith, Technology Enablement Data Program Director; and Joel Serface, Director of Energy Innovation. Together, they are leading the enhancement of our transportation engineering’s traffic data capabilities, pioneering cutting-edge computer vision solutions tailored to 3D cloud point data, and offering energy solutions and predictive analysis for a transit authority client.
"Nader's tenure as a Fellow in Northeastern's LEADERs program has significantly enriched our technology initiatives, particularly in transportation and energy solutions,” said Michael. “His deep understanding of AI applications has not only provided us with a valuable perspective but also innovative solutions that have driven projects forward. Working with Nader has been a pleasure."
We had the opportunity to sit down with Nader to dive deeper into his work in AI and understand how he is positively impacting VHB.
VHB: Nader, companies are starting to integrate AI into their work processes, but machine learning has been in development for years. How did your academic interests and background lead you to a PhD program in data science?
Nader: My academic journey began with a bachelor's degree in electrical engineering, where I cultivated a strong foundation in technical skills and theoretical knowledge. I was eager to expand my horizons, so I pursued a master's degree in data science at Khoury College of Computer Science. I sought out Northeastern University's data science program for its immersive and hands-on approach.
This educational path allowed me to seamlessly integrate theoretical concepts with real-world applications. Throughout my studies, I have been driven by a passion to bridge the gap between theory and practice. At VHB, I’ve been able to engage in an array of meaningful and impactful projects, from developing diagnostic models to exploring opportunities in biotechnology and finance.
VHB: How did you learn about VHB as a doctoral student?
Nader: Discovering VHB came about through the LEADERs program at Northeastern University that links students with industry opportunities. The chance to immerse myself in data and AI-related projects at VHB was incredibly appealing and was too enticing to pass up!
VHB: We’re glad you found us! Tell us about some of the most impactful projects you've worked on at VHB.
Nader: I've dug into the intricacies of traffic data analysis for transportation engineering and initiated the development of computer vision solutions tailored for 3D cloud point data, which helps streamline facility management processes. I also worked with a team on an energy load predictive project, where we applied time series analysis techniques to help clients mitigate outages using solar-powered battery storage.
VHB: That’s amazing. What challenges have you encountered at VHB, and how did you overcome them?
Nader: During a transportation engineering project, I encountered the task of cleaning and analyzing years’ worth of traffic data from connected vehicles (CV). The challenge lies in identifying and removing outliers from the dataset while extracting meaningful insights to visualize traffic trends and congestion patterns. We applied meticulous data-cleaning and preprocessing techniques, as well as advanced analytical methods. This allowed us to provide actionable, data-driven insights for better transportation planning, which is particularly helpful for growing regions like North Carolina.
In another project, I utilized computer vision for 3D cloud point data to address the absence of indoor mapping solutions in a client company building. However, the method isn't limited to this setting; it can be applied to any institution or building requiring operations and automation. The task involved developing innovative methods to label crucial features like fire extinguishers, exit signs, and doors within building interiors.
Additionally, I tackled a project centered on energy load analysis, which involved employing time series analysis to predict future trends and offering battery sizing solutions to our clients. This required deep understanding and manipulation of complex datasets to generate accurate forecasts, crucial for informing clients like Metropolitan Transportation Authority (MTA) in New York. Despite the evolving nature of each project, I embraced the challenges with enthusiasm.
VHB: What tools have you utilized during your time at VHB?
Nader: I’ve used many state-of-the-art tools, including Azure Databricks, Autodesk Cloud, and Citrix. I’ve even utilized ChatVHB, which is VHB’s own proprietary AI tool that harnesses the capabilities of Microsoft’s Bing Chat Enterprise for VHB employees to use in a secure, accessible environment. These platforms have played a pivotal role in enhancing my efficiency, streamlining workflows, and enhancing how our teams collaborate.
VHB: That’s great experience. On a personal note, what do you enjoy when you’re not working? And is it data-related?
Nader: Yes! I enjoy mixing music or creating beats, particularly for my personal enjoyment and creative expression.
We're thrilled that Nader will be continuing his education at Northeastern and collaborating with VHB throughout the summer.
Connect with Nader on LinkedIn.
