Public Safety is tracking a significant snowfall that will be arriving in our area late Sunday morning (Jan. 25). It will snow heavily throughout the day and evening eventually tapering off Monday (Jan. 26) with 10-14 inches expected statewide. A sleet and freezing rain mix is also possible along the shore. Temperatures will be in the teens and twenties.
Due to this significant winter storm and the extensive campus clean-up operations that will need to take place, all in-person day and evening classes scheduled for Monday, January 26, 2026 have been cancelled. All scheduled in-person classes will transition to being held online or remotely. Additional information on the virtual format for each class will be provided by your instructor.
Faculty have been asked to prepare for Online or Remote sessions in the event of in-person meeting cancellations. These options will be determined by the Faculty member and all questions should be directed to the Faculty teaching each course section. Faculty also have been asked to be very understanding and accommodating of the individual situations of their students who may have difficulty managing these alternative online or remote class meetings on short notice.
Please note that only essential employees, as previously determined by their respective department leaders, should report to campus. All other employees should fulfill the requirements of their role remotely.
Campus operations for residential students, unless otherwise noted, will operate as scheduled, though hours may be modified or changed based on the conditions. Separate messages will be sent from the Peterson Library, the Beckerman Recreation Center, and Dining Services regarding any changes to their normal hours of operation. The Bergami Center for Science, Technology, and Innovation will remain open for residential students to use for study space and to participate in online classes.
Off-campus students that live in the City of West Haven should abide by the city’s parking ban during inclement weather to avoid having their vehicle tagged and towed. Please check the City of West Haven’s website for further information on their snow parking ban.
The Charger Blog
As part of his Summer Undergraduate Research Fellowship project, Muntasir Hossain ’23 immersed himself in machine learning, exploring ways to improve the identification of heart disease, while discovering a possible new career path.
September 2, 2020
Muntasir Hossain ’23 is interested in machine learning and artificial intelligence (AI), and he took the opportunity to explore these cutting-edge topics in depth this summer.
Through the University’s Summer Undergraduate Research Fellowship (SURF) program, Hossain began his work by researching heart disease as a potential area of focus for machine learning. He learned about the severity of the disease, which does not have a cure, and he explored how machine learning – the study of teaching computers to recognize and identify patterns in data – could be used to detect what is currently the leading cause of death in the U.S.
“Machine learning can be used as a cost-effective means of detecting heart disease at an early stage and preventing it,” said Hossain, a computer science major. “The results would be used by diagnosticians to make a more reliable diagnosis very quickly.”
Because of the coronavirus pandemic, Hossain conducted his research and completed his SURF project online. Using Weka, an open source machine learning software, Hossain trained and tested multiple algorithms on a heart disease dataset.
"I was fascinated by how the algorithms would be able to find mathematical relationships and patterns in the dataset." Muntasir Hossain ’23
He focused on developing three essential algorithms that would accurately detect heart disease and identifying the minimum number of attributes – predictors of heart disease, such as angina – that he would need to get a comprehensive diagnosis. He also explored the impact the attributes had on predicting heart disease, using algorithms to better understand the data.
“I had to understand the process behind how the algorithms actually performed behind the scenes,” he said. “This was one of the most exciting parts of the research for me. I was fascinated by how the algorithms would be able to find mathematical relationships and patterns in the dataset.”
Working with Stephanie Gillespie, Ph.D., a lecturer and associate dean of the University’s Tagliatela College of Engineering, Hossain learned a great deal about machine learning algorithms, statistics, and heart disease. He also discovered a passion for AI and machine learning, and he is now considering a career as a machine learning engineer – something he has also explored with Dr. Gillespie.
"I hope this research shows that machine learning has amazing applications in today’s world and can be used to help people in so many different ways." Muntasir Hossain ’23
“Working with Dr. Gillespie has been absolutely wonderful,” said Hossain, who met with Dr. Gillespie weekly via Zoom while working on his project. “She guided me but gave me freedom to explore. I would share my ‘discoveries’ with a lot of enthusiasm and in great detail, and she would listen. Being able to share the information and ask questions helped me understand it all, and I am very thankful for such an amazing mentor.”
Hossain’s research suggests that machine learning can help lower the death rate of heart disease. He believes machine learning will continue to make an impact on the medical field.
“I hope this research shows that machine learning has amazing applications in today’s world and can be used to help people in so many different ways,” he said. “I hope that diagnosticians begin seeing the amazing potential of machine learning and start using it in their practices.”
University News
New University-wide council will advance strategic partnerships, immersive student opportunities, and innovative research, supporting the University’s strategic plan the development of its pioneering Center for Innovation and Applied Technology.
The Charger Blog
Entrepreneur David Sussman, Pompea College of Business Advisory Board Member and chief visionary officer of The Family Security Plan®, is collaborating with University of New Haven students, faculty, and staff to create a program and app that helps Chargers support each other to achieve academic, personal, and professional goals. It’s called Uccountability.
University News
Vice President for Innovation and Applied Technology Paul Lavoie will serve on the Board of Directors and as America’s Chief Manufacturing Officer for the newly launched American Manufacturing Futures Institute.