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Faculty of Science School of Computational Science and Engineering
Faculty of Science

School of Computational Science and Engineering

The 2019 CSE Student Symposium

UPDATE ON THE SYMPOSIUM

The were many very good presentations which made selecting the prize winners a difficult task.  Based on the advice of a group of faculty judges,

  • Ramsha Khan was declared the winner of the first prize, and
  • Avesta Ahmadi was declared the winner of the second prize

(the prizes are giftcards to the campus bookstore).

Congratulations to Ramsha and Avesta, and thanks to all the participants for making the Symposium a very successful event!

 


The annual CSE Student Symposium will take place on Wednesday, April 10, in Hamilton Hall HH/109. The program of the event is available below. Everyone interested in scientific computing is welcome to attend.

 


Session I (9:40-10:40): Fluid Mechanics & Thermodynamics

9:40-10:00 Ramsha Khan "A variational data assimilation scheme for prediction of ocean bathymetry from surface waves"
10:00-10:20 Afroja Parvin "Ocean waves in a multi layer Shallow water system with bathymetry"
10:20-10:40 Avesta Ahmadi "1D Structure Prediction via Integer Programming with applications in Li-Ion Batteries"


Break (10:40-11:00)


Session II (11:00-12:00): Optimization & Control


11:00-11:20 Shuo Feng "Cognitive Risk Control for Vehicular Radar and Communication Systems"
11:20-11:40 Seyed Shams-Shoaaee "Price Optimization with Reference Price Effects: A Generalized Benders Decomposition Method and a Myopic Heuristic Approach"
11:40-12:00 Srinivas Tamvada "ILoSat: A Cplex based SAT and Pseudo-Boolean solver"


Lunch Break (12:00-13:30): pizza will be provided


Session III (13:30-14:50): Networks & Algorithms

13:30-13:50 Reza Zolfaghari "Numerical integration of stiff high-index DAEs"
13:50-14:10 Markimba Williams "Tracking Multiple Targets in a Cluttered Environment: a comparison of the Integrated Probabilistic Data Association and Nearest Neighbor Trackers"
14:10-14:30 Dewan Ferdous Wahid "Complex Common-Knowledge Networks: Analysis and a Case Study"
14:30-14:50 Mohsen Zargoush "An analytical framework for optimal characterization of long-term care facilities in Ontario"


 

 

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McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

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