Media Coverage

Aug 04, 2019

As the new medical school academic year gets underway, Newsday spoke to medical schools on Long Island about how they are expanding opioid-related education.

“Today, medical schools such as NYIT put ‘more emphasis on the addictive nature of it’ and include more discussion of pain-relief alternatives to opioids, said Dr. Jerry Balentine, dean of the NYIT medical school,” the article reports.

 

FEW-Focused NSF Research Grant Highlighted in Innovate LI, LIBN

Jul 31, 2019

New York Institute of Technology’s most recent grant from the National Science Foundation, intended to establish a research coordination network to study the food, energy, and water (FEW) nexus for sustainable and resilient urban development, was featured in Innovate LI.

Through the network, the article notes, NYIT researchers, led by Principal Investigator Ziqian (Cecilia) Dong, Ph.D., will collaborate with several prestigious universities as well as national laboratories on in-depth studies of FEW systems in New York City and Phoenix, Ariz., using a “city-as-a-lab” model.

“This group will collaborate to identify societal and policy barriers to FEW resource conservation and sustainability,” Dong said. “And it will address knowledge gaps and research questions posed by academic, government and business stakeholders.”

Coverage about the grant also appeared in Long Island Business News.  

 

Jul 29, 2019

Tiffani Blake’s appointment to the role of interim dean of Student Affairs for NYIT’s New York campuses is featured in The Island Now.

“Tiffani Blake has extensive experience in higher education in numerous roles, and possesses depth and breadth in many areas within student life and beyond – she truly cares about the student experience,” says Junius J. Gonzales, M.D., M.B.A. “Her knowledge, expertise, dedication, and high energy also extend beyond the workplace to serving the community at large, which makes her even more relevant to and an exceptional role model for our students.”

Blake’s appointment was also included in the Chronicle of Higher Education.  

 

NSF Grant Highlighted in CompositesWorld

Jul 26, 2019

NYIT's National Science Foundation (NSF) grant to develop novel imaging techniques that will enhance testing of non-metallic cylinders such as composite oil-and-gas pipelines is featured in CompositesWorld.

Reza Khalaj Amineh and Maryam Ravan, assistant professors of electrical and computer engineering, will work with graduate and undergraduate students in NYIT College of Engineering and Computing Sciences to adapt existing holographic imaging techniques to carry out volumetric imaging designed specifically for cylindrical objects such as pipes, according to the article.  

Amineh and Ravan have been working on this project since 2017 with support from internal NYIT grants, which paid for the launch of their Applied Electromagnetics Research Lab (AEMRL), the article notes.

“We are excited about expanding NYIT’s reach to include microwave imaging. Both Dr. Ravan and I have extensive experience in nondestructive testing and near-field microwave imaging, and the AEMRL will show our students how to develop a low-cost, compact, fast, and robust microwave NDT method,” says Amineh. 

 

Technology and Processes are Cyber Risks: MultiBriefs

Jul 16, 2019

While people pose one of the greatest cybersecurity risks, technology and processes are close behind, according to a report in MultiBriefs.

"The six components required to establish an information system are hardware, software, data, networks, people, and processes," says Michael Nizich, Ph.D., adjunct associate professor of computer science and ETIC director. "If a procedure or process established by the organization places either system users, system data, or system appliances at risk, then that procedure has violated one or more of the security policies established by the organization’s security leader and must be revised for conformity."

 

CNN Publishes Op-ed About AI That Can Read Emotions

Jul 15, 2019

As technology advances, consumers will grow to appreciate how artificial intelligence that can read emotions will make our lives easier, “with experiences that are more personalized, convenient and attuned to our emotions,” writes Houwei Cao, assistant professor of computer science, in a CNN op-ed.

A data scientist, Cao writes “I'm currently developing a comprehensive machine-learning model that learns over time and could eventually make machines perform better than a typical store attendant or call center employee. That may seem hard to believe, but machines don't have common human vulnerabilities like being tired, hungry or overworked.”

In fact, she writes, “My AI model will take into account different visual, audio and language cues simultaneously — like tone of voice, body language and rhetoric — to perform an in-depth analysis of people's emotional states.”  

 

School of Management's Hartman in U.S. News and World Report

Jul 11, 2019

Stephen Hartman, Ph.D., professor of management, offered his professional insight for an article in U.S. News and World Report about investors’ “FOMO” (fear of missing out) and the desire for a big payoff in the stock market.

"Investors are always on the blockbuster hunt," he says. "Each uses their own methodology to find their prey. Enormous resources are available in these searches. Most are moderately successful at best. Those who use a proven methodology are more successful than those who have not developed a suitable strategy," he concludes.

 

Nizich Discusses Companies’ Biggest Cybersecurity Risks

Jul 10, 2019

A MultiBriefs report explores various reasons why security professionals believe that people represent the biggest risk to cybersecurity.

"The hardware, software, and security solutions we have available to us today as IT professionals to secure private networks from malicious attackers and minimize outsider threats and vulnerabilities are actually amazingly powerful and really quite strong and quite difficult to circumnavigate by cyber criminals," says Michael Nizich, Ph.D., adjunct associate professor in the department of computer science and ETIC director. But he notes, "The human implementers of security solutions are naturally prone to mistakes and oversights as in any other profession."

Another risk that Nizich points out in the article is that cybercriminals have found that the most natural and easiest way into a network is now through its users. "The rapid advancement of security technology has placed more information at risk because the system users have now become the target of cybercriminals instead of the systems themselves."

 

Gibb Describes Research in Contagion Magazine

Jul 05, 2019

Assistant Professor Bryan Gibb, Ph.D., is the principal source of a story in Contagion, a specialty publication for those who fight infectious diseases. Gibb describes research he carried out with several NYIT undergraduates who found potentially dangerous bacteria in used kitchen sponges. Their findings highlight both the ubiquity of these bacteria and the ways bacteriophages (or simply “phages”) can help defeat them.

“Phages are the most abundant biological entities on the planet,” Gibb says. “Discoveries can be found in any corner, or in this case, hiding in a lowly, dirty kitchen sponge.”

The bigger issue, according to Gibb, is the increasing prevalence of antibiotic-resistant bacteria. “We need to accelerate efforts to find good novel antimicrobials and fully explore novel alternative therapeutics,” he says. His research into phages is one of those efforts.

 

Anid Honored as Advocate for Women in Security

Jul 03, 2019

SC Magazine has featured Nada Marie Anid, vice president, Strategic Communications and External Affairs, among the five women honored in the July-August issue as advocates for women in security.

“Anid has been a prominent advocate for the school’s efforts to build a robust cybersecurity discipline and establish thought leadership,” the article reads, further noting that she has long supported women pursuing STEM careers and has called for academia to fuel U.S. dominance in cybersecurity, AI and machine learning.