Robert Pearson retires from microelectronic engineering program
Robert Pearson helped make history when RIT began its microelectronic engineering program in the early 1980s. An RIT alumnus of the electrical engineering program and MicroE’s first faculty hire, Pearson reflected on some of that history—and his place in it—before retiring this summer after more than 40 years.
Pearson started his RIT story with highlights that included following in the footsteps of his father, Milton ’64 (Imaging science), combining electrical engineering and imaging science and coming to campus in 1976 as a student-athlete. He took advantage of early co-op experiences at Fairchild Semiconductor International in Maine and later its R&D center in California. He eventually worked for the company after graduation, before bringing a combination of academics and industry skills to teaching.
He saw great potential in the degree program, in the growing semiconductor industry, and RIT’s commitment to building what he would describe as a first-of-its-kind program, recognized by peer universities and industry for its skilled semiconductor graduates.
How did you come to teach in the microelectronics engineering program?
I started here in fall ’76 and played soccer. Before my first co-op I didn’t have a resume and went over to see sports information director, Roger Dykes. I made copies, sent it out, and got a co-op at Fairchild in Maine because Roger typed up my resume.
When I came back, I had classes with Lynn Fuller in semiconductor physics and thick film integrated circuits. He said, ‘I’ve got some equipment here, do you want to try to make some transistors? Just come in and start working. But you’ve got to write it up as lab reports.’ A buddy and I made the first photo masks, capacitors, solar cells, and transistors in 1979. My master’s thesis was a formalized version of all those lab reports. It is basically what we teach in our sophomore course, Integrated Circuit Technology now. It has survived the test of time.
I was working at Fairchild Semiconductors after graduation. When I visited RIT at Thanksgiving ’82, they had just started the microelectronics engineering program in September. Lynn Fuller, founder of the program, said, ‘I don’t have any faculty—it’s just me and 60 freshmen. Would you like to be a teacher?’ I asked, ‘When?’ He said, ‘January.’ So I went back to Maine, quit my job and moved back home with my wife.
What are some significant milestones in the program you were involved with since it began?
When I started teaching, we were in a couple of crowded rooms on the third floor of the engineering building. People were interested in the semiconductor field, and the country was very much interested in re-shoring—just like now. Lynn put together a proposal for a new building. I think the projected cost at the time was a measly $5 million. By 1985, we were ready to open the building, and who do we invite—Jack Kilby, inventor of the integrated circuit. And we gave him an honorary Ph.D. even before he was awarded the Nobel Prize.
Carlos Ortiz/RIT
Robert Pearson has taught numerous lab courses and trainings. Some of his early lab notes and processes from the cleanroom during the time he was a student became the basis for some of the program materials used today.
What are some of the similarities and differences of the industry and students, then and now?
The industry in the early days of our program was very much aware of what decisions they made and how it affected their bottom line. If they found they were getting good hires from RIT, and it was helping them, they did their best to encourage us. That kept us on track for teaching what they wanted. When the semiconductor industry was still emerging, it was exciting. It was one of the obvious roots to success. The students were eager, and they worked hard. They still do. Our alumni said their careers took off because of RIT. They traveled internationally, managed big departments and projects, started their own companies. It just amazes me what all our students have done.
What personal and academic accomplishments are you most proud of?
Motorola was set to build a fab in Virginia. I thought, I would love a teaching experience at a place that had a fab right next door. We did get industry support at RIT, but not in the way of having it right there. Ironically, I went to Virginia after 14 years teaching at RIT and developed a microelectronic engineering program at Virginia Commonwealth University. It’s interesting that people thought they could do what RIT did, like it was no big deal, and they could not. The uniqueness of this program is immense. I returned to teaching at RIT in 2003 and became program director in 2008.
Outside of the college, I’ve been a steering committee member of two large conferences—the University Industry Government Microelectronic Symposium since 1985 and the Advanced Semiconductor Manufacturing Conference (founded by Lynn Fuller) since 1992. It was good advertising for our programs at RIT and what we are doing. It earned us the respect of other universities, and I’m very proud of that. I wrote the history of both of the conferences so that people would know how they began—again this is my interest in history. I should teach a history class!
Academically, winning the IEEE Outstanding Teaching Award in 2023 was great and I’m proud that Ivan Puchades, a former student and now an RIT engineering faculty member, nominated me for that. I’ve also been involved in the funding and creation of three different RIT scholarship awards for our microelectronic engineering students, and I’d like to start some more.
What will you be doing in retirement?
Helping coach my grandkids’ soccer teams. I’ll be doing some gardening, woodworking, I like wood carving and getting back into kayaking. I haven’t done much but now will be able to get out more and do this. I’ll have more time to ride my bike—if my knee still works—those old soccer injuries. I live in Henrietta and will probably still be on campus, I can’t seem to stay away.
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- Researchers develop cybersecurity test for AI being used by GoogleRochester Institute of Technology experts have created a new tool that tests artificial intelligence (AI) to see how much it really knows about cybersecurity. And the AI will be graded. The tool, called CTIBench, is a suite of benchmarking tasks and datasets used to assess large language models (LLMs) in Cyber Threat Intelligence (CTI). CTI is a crucial security process that enables security teams to proactively defend against evolving cyber threats. The evaluation tool comes at a time when AI assistants claim to have security knowledge and companies are developing cybersecurity-specific LLMs. For example, Microsoft Copilot has an integrated security platform. Until now, there has been no way to tell if an LLM has the capability to work as a security assistant.Nidhi Rastogi, assistant professor in the Department of Software Engineering “Is the LLM reliable and trustworthy?” asked Nidhi Rastogi, assistant professor in RIT’s Department of Software Engineering. “Can I ask it a question and expect a good answer? Will it hallucinate?” CTIBench is the first and most comprehensive benchmark in the Cyber Threat Intelligence space. The tool is already being used by Google, Cisco, and Trend Micro. “We should embrace using AI, but there should always be a human in the loop,” said Rastogi. “That’s why we are creating benchmarks—to see what these models are good at and what their capabilities are. We’re not blindly following AI but smartly integrating it into our lives”.” In her AI4Sec Research Lab, Rastogi is studying at the crossroads of cybersecurity and AI. She developed CTIBench along with computing and information sciences Ph.D. students Md Tanvirul Alam, Dipkamal Bhusal, and Le Nguyen. The RIT team began by working on SECURE, a benchmark focused on evaluating LLMs in the context of industrial control systems. A paper on SECURE was later accepted to the 2024 Annual Computer Security Applications Conference. “That experience made us realize how critical it is to evaluate LLMs in other high-stakes domains,” said Bhusal. “Since there was no reliable benchmark for CTI, we felt it was the right time to build one.” CTIBench is like a test on how much a LLM knows. Throughout the five different benchmarks, the AI completes tasks as if it is a security analyst at a security operations center. Tasks include root cause mapping and calculating Common Vulnerability Scoring System scores. A graph from the paper illustrates the number of overestimations and underestimations made by different LLMs when predicting the severity score of security flaws in information systems. All models exhibit a higher frequency of overestimation compared to underestimation, which suggests that LLMs may need calibration to improve their accuracy in threat severity prediction. The RIT team also created 2,000 cybersecurity questions using ChatGPT—with a lot of trial and error in prompt engineering the questions. All the questions were validated by real security professionals and cybersecurity graduate students. Questions in the evaluation range from basic security specialist definitions to technical NIST specifications to determining the next steps of a threat situation. “One of the most challenging and rewarding aspects was designing appropriate tasks to quantitatively evaluate the capabilities of LLMs in the domain of Cyber Threat Intelligence,” said Alam. While creating CTIBench over several months, the RIT team ran the tool through five different LLMs. In the end, the benchmark provides an evaluation of the LLM it is testing—showing its percentage of accuracy on the different tasks. The researchers published “CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence” at NeurIPS 2024, the Conference on Neural Information Processing Systems. It was a spotlight paper among the top 2 percent accepted at NeurIPS. Now, industry has taken notice of CTIBench. It is free and open access—available on the Hugging Face API and GitHub. Google is using CTIBench to evaluate its new experimental cybersecurity model Sec-Gemini v1. Cisco and Trend Micro are using CTIBench to evaluate cybersecurity applications in their own LLMs. Chris Madden, a distinguished technical security engineer at Yahoo Security, has also brought attention to CTIBench in his Common Weakness Enumeration benchmark effort in collaboration with the MITRE Corporation. “The quick adoption of CTIBench validates our research impact and positions us well in cybersecurity and LLM research,” said Rastogi. “This is opening doors to new collaborations, funding, and real-world industry impact.”
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- AI brain-computer interface expert and former Oxford University professor joins RITFormer Oxford University professor Newton Howard is fueled by his fascination with quantum biology and neuroscience. He believes there is a future where we can not only understand the brain at a deeper level but unlock new ways to enhance cognitive function and treat neurological disorders. This fall, Howard will bring his enthusiasm and expertise to Rochester Institute of Technology’s School of Individualized Study as a professor of practice. Howard is the founder of ni2o, Inc., an organization dedicated to enhancing cognitive and athletic performance for those affected by neurological conditions. His career has spanned academia, the U.S. military, and the private sector, and he is known for transforming research into real-world applications, including having roles in developing technologies such as wireless hotspots, Google Earth, and Google Translate. He has several U.S. patents, presented at national and international conference, and has published journal articles, papers, and textbooks. As a former professor at Oxford, where he is still a member of the university’s congregation, MIT, and Georgetown University, Howard founded and directed multiple laboratories, including the Computational Neurosciences Lab at Oxford and the Synthetic Intelligence Lab at MIT. He is also the founder of The Howard Brain Sciences Foundation and C4ADS (Center for Advanced Defense Studies), a think-tank dedicated to data-driven analysis of global conflicts and transnational security threats. “RIT is a university on the cutting-edge of technology, the arts, and design, and Newton Howard is a perfect representation of our mission and aspirational thinking,” said James Hall, dean of RIT University Studies and executive director of the School of Individualized Study. “We are thrilled that Dr. Howard will share his spirit of innovation and entrepreneurship with our students who are always on the lookout for ways to pursue opportunities to make a positive difference in the world.” RIT’s Professor of Practice designation recognizes industry professionals with extensive experience in their fields who bring real-world knowledge and expertise into the classroom. This fall, Howard will be supporting RIT partnerships with alumni in the private and public sectors while continuing to conduct research that advances understanding of the brain and the development of neural prosthetics to treat brain and neurological diseases. As he looks ahead to interacting with students and faculty this fall, Howard says, “As we work together at RIT, we are not just shaping minds, but shaping the future. The greatest discoveries happen when we embrace the diversity of thought, challenge our assumptions, and learn from one another. I look forward to contributing to a community where both faculty and students are partners in the pursuit of knowledge. It is through genuine interaction, shared insight, and interdisciplinary collaboration that we can create meaningful advancements.”
- COSMOS-Web opens window into universe for scientists and citizensCOSMOS-Web was the largest General Observer program selected by the James Webb Space Telescope for Cycle 1. The team, led by RIT Associate Professor Jeyhan Kartaltepe, has publicly released its full data set, including a catalog and an interactive viewer. The release gives the largest look at the deep universe ever, providing data for scientists to make future discoveries. Already, scientists have found a treasure trove of early galaxies. COSMOS-Web provides the largest view deep into the universe ever, and now an easily searchable catalog with all of the data is available to the public. COSMOS-Web was the largest General Observer program selected for Cycle 1 of the James Webb Space Telescope (JWST). The survey mapped 0.54 square degrees of the sky (about the area of three full moons) with the Near Infrared Camera (NIRCam) and a 0.2 square degree area with the Mid Infrared Instrument (MIRI). While previous surveys have aimed to help astronomers map and understand what exists in the vast universe, the advanced instruments of JWST have allowed COSMOS-Web to study galaxy evolution through a long range of history. “The sensitivity of JWST lets us see much fainter and more distant galaxies than ever before, so we’re able to find galaxies in the very early universe and study their properties in detail,” said Jeyhan Kartaltepe, associate professor at Rochester Institute of Technology and lead researcher of COSMOS-Web. “The quality of the data still blows us away. It is so much better than expected.” COSMOS2025, the catalog containing the photometry, morphology, redshifts, and physical parameters of galaxies from COSMOS-Web, delivers a combination of sensitivity, spatial resolution, and field-of-view to observe nearly 800,000 galaxies. Using JWST imaging, ground-based telescope data, and previous COSMOS data, the catalog makes an unprecedented amount of information freely available, opening many unexplored scientific avenues. The full COSMOS-Web color image is shown with a zoom in to the region surrounding a gravitationally lensed galaxy known as the COSMOS-Web ring (Mercier et al. 2024).Credit: Kartaltepe/Casey/Franco/COSMOS-Web “This was an ambitious undertaking that required the development of innovative technologies to simultaneously measure the photometry and morphology of nearly 800,000 galaxies across 37 images,” said Marko Shuntov, postdoctoral researcher at Cosmic DAWN Center. “Building the catalog required tremendous teamwork, and it was all worth it because ultimately it has delivered some of the highest quality redshifts and physical parameters of galaxies that will enable groundbreaking science.” The raw data retrieved during COSMOS-Web was so vast that it was difficult and incredibly time-consuming for scientists to work through it. The public availability of the catalog takes that work out of the equation for the community. The COSMOS-Web team worked to reduce the data, eliminating artifacts, subtracting backgrounds, and improving the astrometry in order to provide accurate photometric and morphological analyses. The breakthroughs already discovered through JWST’s observations have shown how essential NIRCam data is for understanding galaxies in the early universe. Ensuring that the data are science-ready is an achievement that makes COSMOS-Web the standard calibration for future, large surveys. “We combined more than 10,000 images of the sky together to form the largest contiguous image available from JWST,” explained Maximilien Franco, postdoctoral researcher at Université Paris-Saclay. “To do this, we needed to ensure that all the images were properly aligned with existing data, and also to correct for any observational biases. It was incredible to reveal galaxies that were previously invisible, and very gratifying to finally see them appear on our computers.” Likewise, MIRI plays a critical role in determining the mass of early galaxies and investigating star formation over cosmic time. It has already been instrumental in confirming some of the most distant galaxies discovered by JWST. Using longer wavelengths that are less affected by dust extinction, MIRI has the ability to detect and characterize galaxies at higher redshifts, or at earlier times in the universe. “With MIRI, we’re now accessing an unprecedented level of detail in this wavelength range, providing new insights into the processes driving galaxy evolution and the growth of black holes,” said Santosh Harish, postdoctoral research associate at RIT. “The leap in sensitivity and spatial resolution is extraordinary, and MIRI observations from COSMOS-Web are a fine example of what this instrument is capable of.” Along with the data itself and three initial papers on the catalog, near infrared imaging, and mid infrared imaging, the data release also includes an interactive viewer where users can directly search images for specific objects or click on objects to see their properties. In addition, two new COSMOS-Web studies—one examining the structural evolution of brightest group galaxies over the past 11 billion years and another applying artificial intelligence to estimate key galaxy properties from photometry—highlight the wide scientific potential of the catalog. “Thanks to JWST and the COSMOS-Web survey, we can now trace how galaxies shut down star formation, undergo morphological transformation, and how these processes are shaped by their environment across cosmic time, even predicting galaxy properties using AI-driven methods,” said Ghassem Gozaliasl, astrophysicist and researcher at Aalto University. When the JWST launched in 2021, the COSMOS-Web team of nearly 50 researchers around the world had the longest observing time during the telescope’s first year. The team set out with three primary goals: to map and build understanding of the Reionization Era (in the universe’s first billion years); to trace and identify massive galaxy evolution in the first two billion years; and to study how dark matter is linked to visible matter within galaxies. The COSMOS-Web team is made up of nearly 50 researchers from around the world. The group gathered for a conference ahead of their full data release in Marseille, France, in May. Credit: COSMOS-Web After more than 150 visits and 250 hours of observations, the JWST data from COSMOS-Web has provided the information to obtain those goals. The survey has sent scientists into a new age of space observation and data analysis, and has opened the door to a future of understanding and discovery like never before. “We have data and catalogs that we’re very sure of, that we’ve tested and put a lot of work into,” said Kartaltepe. “I can’t overstate how much the field has changed. With data from JWST, we now have a new window on the universe.” COSMOS-Web is jointly led by Kartaltepe and Caitlin Casey, professor of physics at University of California, Santa Barbara, and is part of The Cosmic Evolution Survey (COSMOS). Beginning in 2007, COSMOS joined together more than 200 scientists across the globe to study the formation and evolution of galaxies using both space-based and ground-based telescopes. The remarkable longevity of the collaboration is a testament to the importance of open, accessible science. To learn more For more information on COSMOS-Web, go to the program’s website. The COSMOS-Web images, catalog, and interactive viewer are available through the team’s data release website.