Semester year: Spring 2023
Time/Location: officially, every other Tuesday, 3:30–4:30 pm, Biology | Room LH100 or by zoom (check departmental seminars for the link). But, some other dates exist and can count toward this seminar.
Piazza for the course is now alive. Please ask all questions/discussions via Piazza
Instructor: Tara Salman (email: tsalman@ttu.edu )
TA: Shireesha Kanikireddy (email: skanikir@ttu.edu)
Office hours (Salman): WF 1:00-300 pm or by an appointment
This course is a series of seminars hosted at TTU and given by external speakers. These speakers will be discussing their current research in computer science and other topics related to computer science. It is a hybrid class where we will be meeting by zoom (check for Ashley's email about departmental seminars) or in Biology Room LH100.
The schedule for this semester's seminar, along with the recording and other information, can be found below.
This is a Pass/Fail course. Assessments and submission instructions are different among students, please see below your category.
All Master students: All master students (MSCS and MSSE) must attend 10 seminars with corresponding summaries within the first year of their enrollment in their respective programs. The students must achieve attendance at 10 seminars by attending 5 seminars in their first semester and then 5 seminars in the second semester. Distance students of MSSE must view 2 seminars within their first year of enrollment. After 2 have been viewed, an email will be sent to the graduate advisor with the 2 seminars viewed and a summary of each.
Spring 2023 master students (not for distance learning MSSE): A blackboard submission link will be up for each speaker and you will be required to submit your reports there. Do not submit by email, please. All reports are due on May 9th. You must attend/report on at least 5 seminars this semester and at least 5 seminars next semester. For example, attending 7 seminars this semester and 3 next semester will not give you a passing grade. You may write your own report or download this form, fill it out, and submit it by blackboard. The form is only for Spring 2023 registered students.
Fall 2022 master students (not for distance learning MSSE): Please collect your reports and send them all together to the TA. Your deadline is May 9th. As per department rules, you should attend at least 5 seminars, regardless of how many you attended last semester. Your attendance will be transferred to Dr. Yao and she will be giving you the grade. Her rule for passing also says that you should attend at least 5 seminars this semester, regardless of how many you attended last semester.
Master students registered for both Fall 2022 and Spring 2023: I assume I have no student in this category. If you were registered in Fall 2022, you should not register in Spring 2023, unless you failed Fall 2022. Please contact your graduate advisor (not me) and seek advice as soon as possible. If you are registered in my class, we will follow the above Spring 2023 rule for you.
Ph.D. students: All Ph.D. students must attend at least 8 CS seminars annually.
Note that to access the videos, you need both the link and the passcode. The department will share the zoom link.
Jan 24th Seminar:
Date: Tuesday, January 24th
Speaker: Raj Jain
Title of the talk: Quantum Blockchains
Feb 7th Seminar:
Date: Tuesday, February 7th
Speaker: Elisa Bertino
Title of the talk: Security of Cellular networks
Feb 14th Seminar:
Date: Tuesday, February 14th
Speaker: Check the recording
Title of the talk: Check the recording
Other information: flyer, recording
Feb 15th Seminar:
Date: Tuesday, Wednesday, Feb. 15th
Speaker: Marcos Rigol
Title of the talk: Typical eigenstate entanglement entropy as a diagnostic of quantum chaos and integrability
Feb 16th Seminar:
Date: Thursday, Feb. 16th
Speaker: Murat Yuksel
Title of the talk: Mobile Super-6GHz Directional Wireless Systems for 5G-and- Beyond
Other information: flyer, no recording
Feb 24th Seminar:
Date: Friday, Feb 24th, 3:30-4:30
Speaker: Hong Xiao
Title of the talk: Prolate Spheroidal Wave Functions, Quadratures and Their Utilities in Data Science
Other information: flyer, no recording
March 3rd Seminar:
Date: Friday, March 3rd, 9:00-10:00
Note: in person or virtual. Will not be recorded.
March 10th Seminar:
Date: Friday, March 10th, 9:30-10:30
Speaker: Shichao Pei
Title of the talk: Empowering Machines with Knowledge from Acquisition, Inference, and Expansion
March 21st Seminar:
Date: Tuesday, March 21st, 2:00 pm (virtual only ... coming from QIC)
Speaker: Yuhan Liu
Title of the talk: Symmetry Classification of Typical Quantum Entanglement
Other information: flyer, no recording
March 22nd Seminar:
Date: Wednesday, March 22nd, 9:30-10:30 (Holden Hall 225 or virtual)
Speaker: Sian Jin
Title of the talk: Scaling HPC Applications through Predictable and Reliable Data Reduction Methods
March 24th Seminar:
Date: Friday, March 24th, 9:30-10:30 (EC 205 or virtual)
Speaker: Xin Xin
Title of the talk: Improving The Performance Of Dram Memory Subsystem At Lower Design Cost
March 28th Seminar:
Date: Tuesday, March 28th, 3:30-4:30 (fully virtual)
Speaker: Ahmed Saeed
Title of the talk: Fantastic Congestion Points and Where to Find Them
March 29th Seminar:
Date: Wednesday, March 29th, 11:00-12:00
Speaker: Mohammad Mohammadi Amiri
Title of the talk: Decentralized Intelligence
April 4th Seminar:
Date: Tuesday, April 4th 3:30
Speaker: Siyu Huang
Title of the talk: Advancing Data-Aspect AI: From Efficient Data Annotation to High-Quality Data Creation
April 6th Seminar:
Date: Thursday, April 6th 3:30
Speaker: Haibo Wang
Title of the talk: Real-Time Processing of High-Speed Data Streams with Probabilistic and Randomized Data Structure and Algorithms
Other information: flyer, no recording
April 18th Seminar:
Date: Tuesday, April 18th
Speaker: Bill Poirier
Title of the talk: Efficient Evaluation of Exponential and Gaussian Functions on a Quantum Computer, with Application to Quantum Computational Chemistry and Quantum Finance
April 25th Seminar:
Date: Tuesday, April 25th
Speaker: Pratim Sengupta
Title of the talk: Moral, Affective and Political Dimensions of Computational Modelling: Views from Education