Academics
Stevens Institute of Technology is a student-centric research university, with technology at its core. Our three schools and one college uniquely prepare students for bright futures in diverse fields including tech, finance, medicine, energy, engineering — even art and music.
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Stevens is driven by the idea of building a better future through innovation and technology. Our hands-on experiences, industry-leading internships and cooperative learning opportunities establish a strong foundation for our students’ success.
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Our vibrant campus sits across the river from New York City, opening the door to endless opportunity and adventure. There’s never a dull moment on campus — with fraternities and sororities, clubs, athletics and arts, every student can pursue their passions beyond the classroom.
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From promising new classes of cancer medications to AI that detects falsehoods to 'green' filters that remove chemicals and poisons from drinking water, Stevens' research is making a difference to people and our world.
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With 35 undergraduate majors, 58 master’s degree programs and 20 Ph.D. programs, your potential is limitless. When you enroll at Stevens, your dreams are in reach and we’re here to help make them a reality.
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Thomas Lonon (tlonon)

Thomas Lonon

Teaching Associate Professor

School of Business

(201) 216-5541

[email protected]

Institutional Service

AOL Coordinator for QF/FE/FA Member
Outreach to Seton Hall Member
PhD Qualifying Exam Committee Member
FA Curriculum Committee Member
FE Curriculum Committee Member
QF Curriculum Committee Member
Undergraduate Faculty Ambassador Member
PreCollege Program Member

Selected Publications

Journal Article

Zhao, H.; Chatterjee, R. N.; Lonon, T. N.; Florescu, I. N. (2019). Pricing Bermudan Variance Swaptions Using Multinomial Trees. The Journal of Derivatives (3 ed., vol. 26, pp. 22--34). Institutional Investor Journals Umbrella.
https://jod.pm-research.com/content/26/3/22.
Zhao, H.; Zhao, Z.; Chatterjee, R. N.; Lonon, T. N.; Florescu, I. N. (2017). Pricing Variance, Gamma, and Corridor Swaps Using Multinomial Trees. The Journal of Derivatives (2 ed., vol. 25, pp. 7--21). Institutional Investor Journals Umbrella.
https://jod.pm-research.com/content/25/2/7.