Register Now to Explore the University’s Robust Research Computing Resources
The upcoming series of Computing Colloquies is designed to help campus researchers identify and make the most of the diverse array of campus computing resources available at Syracuse University. All faculty, students and staff conducting, planning or supporting research activities at the University are invited to the sessions.
The sessions—hosted by Information Technology Services in collaboration with the Research Computing Advisory Council—will explore how computing resources help researchers take on new and greater computational tasks, enhance research productivity, increase the competitiveness of grant submissions, and advance scientific discovery across many disciplines.
Participants will have opportunities to:
- connect with other researchers on campus;
- participate in an ongoing campus dialogue centered on research computing;
- receive information on available resources and navigating the landscape; and
- meet and engage SU’s research computing staff.
Tuesday, April 18, 12:30 to 2 p.m. Katzer Collaboratory, Room 347, Hinds Hall. Lunch will be included. Please register by Friday, April 14.
Arindam Chakraborty, associate professor in the Department of Chemistry in the College of Arts and Sciences, will present “Harnessing the predictive power of computational quantum chemistry: A diagrammatic, symbolic, and numerical computing perspective.” Quantum chemistry is the application of quantum theory for understanding and predicting processes in chemical systems. Over the past decade, computational chemistry has proven to be an indispensable tool for materials discovery. This talk will present a multifaceted perspective of the quantum chemistry for computer-aided design of novel nanomaterials in photovoltaic, photodetectors, laser sources and nanoprobes. The presentation will focus not only on the traditional numerical computation approaches but also on the often-overlooked areas of symbolic and diagrammatic computing. The future of computational quantum chemistry lies in peta- and exa- scale computing and the impact of various parallelization models (many-core, GPUs, cloud-based concurrency).
Wednesday, April 26, 12:30 to 2 p.m. Katzer Collaboratory, Room 347, Hinds Hall. Lunch will be included. Please register by Friday, April 21.
Reza Zafarani, assistant professor of electrical engineering in the College of Engineering and Computer Science, conducts research at the intersection of data mining, machine learning, social sciences and theory. A common pattern in his research is to collect and analyze large-scale data to glean actionable patterns. He often employs theories from social sciences, psychology and anthropology in addition to developing and using advanced mathematical, statistical and machine-learning machinery to prove the validity of such patterns. His talk, “Human Emotions: Predictability, Patterns, and Dynamics,” will present common patterns of human emotions, how those emotions evolve and how they connect with friendships, and whether emotions can be predicted. The talk will focus on understanding how human emotions vary across users and time and how users with various emotions embed themselves in social networks. Zafarani works to identify emotional patterns on four different network levels, starting from users and moving up to communities. Our findings can help better understand the interplay between emotions and social ties.
Registration for either session can be done by using this online form or emailing email@example.com. In the email, please include your name, daytime phone number, the session(s) you plan to attend, and any accommodations you may require.
To find out more about the growing variety of research computing resources and activities at SU, visit researchcomputing.syr.edu. Questions about the Computing Colloquy sessions may be directed to firstname.lastname@example.org or Eric Sedore at email@example.com.