Computer Science Discipline Council Meeting

Fri Nov 15, 2024 9AM-1PM

CUNY Graduate Center,  Room 9205

All faculty are invited (please forward to those who do not get this announcement)

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9:15 - 9:30 AM

Announcement from the Chair 

9:30 - 10:00 AM

Eusebio Formoso, Vice Chancellor and Chief Information Officer

Eusebio (Seb) Formoso joined The City University of New York as vice chancellor for information technology and university chief information officer in June 2022. In this role, Formoso directs the Office of Computing and Information Services (CIS) and is responsible for developing the University’s technology strategy and providing leadership and direction with respect to the operation of CUNY’s technology systems, core business applications, voice and data networks, IT Security and data center operations as well as the implementation of the University’s enterprise resource planning project (CUNYfirst).

His experience includes 25+ years leading and transforming IT and systems for IBM, Konica, PepsiCo, Phillip Morris, Altria, Coca-Cola, Diageo, ServiceMaster and PHH Mortgage.

10:00 - 10:30 AM

Alexander Tzanov, Director, CUNY High Performance Computing Center (CUNY-HPCC)

Alexander Tzanov has more than 30 years experience in HPC all in an academic environment. He worked at seven universities in Europe and US (Columbia and NYU). He was faculty at CS Department at Technological University of Sofia for 16 years, Visiting professor at CS department at Queen's University of Belfast, UK, Visiting professor at CS Department at Buckingham University, UK, and adjunct professor at Rutgers University, Business School MIS Department. He worked as HPC leader at NYU for 13 years. His background is in Applied and Engineering Physics(Electronics), Computer Science, Environmental science, and Computational Chemistry. He is member of Coalition for Academic Scientific Computing, IEEE, ACS, Research steering committee of Educause, and he is а feature reviewer of ACM.

Alexander Tzanov will speak about CUNY HPCC resources, and how HPC supports cross-disciplinary research and education e.g. CS in relation to Physical Chemistry or Biology. The focus will be on our support for learning via research when students boost their knowledge by solving complex and real problem(s) which requires utilization of advanced algorithms, programming skills and knowledge of advanced computations.

10:30 - 11:00 AM

Aankit Patel, University Dean for Tech & CIS

Aankit Patel is the inaugural University Dean for Technology and Computer & Information Sciences. This is a new role at CUNY Central created as part of a MOU with the Mayor's Office of Talent to manage the CUNY 2x Tech program and support faculty and student success in tech, computing, and information sciences programs across CUNY, which if combined enrolls over 24k students. Previously, he has held leadership roles at CUNY Central and NYC Dept. of Ed Central working on broadening participation in computing. Find things he made with computers and people here.

Here is what he plans to discuss:

  • Long term goals and possibilities of collaboration with Mayor's Office
  • Building a Computing Community of Practice: a monthly convening of leading computing faculty to discuss data, share research and problems of practice, and coordinate on funding
  • Recommendations from CIS Faculty Committee on Credit for Prior Learning - Industry Certifications

11:00 - 11:30 AM

Judith Cahn, Interim University Executive Director CUNY Online

11:30 AM - Noon

Tsvi Gal, Head of Enterprise Technology Services DigITs, Technology Division, Memorial Sloan Kettering Cancer Center

Before joining MSK, he was a managing director at Morgan Stanley. Tsvi has over 25 years of technology and operations experience mostly in financial services global corporations. Tsvi’s career included work as CTO and CIO in several banks including Merrill Lynch/Bank of America, Deutsche Bank, and Wells Fargo as well as in non-banks including general partner of a private equity firm, president of AT&T.com and CIO of Time Warner Music.

He will talk about creating a CS degree program for high performance computing and data science.

Noon - 1 pm

Lunch
 

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