Joint Mathematics Meetings AMS Special Session
Current as of Saturday, January 13, 2024 03:30:05
- Program
- ·
- Deadlines
- ·
- Timetable
- ·
- Inquiries: meet@ams.org
2024 Joint Mathematics Meetings (JMM 2024)
- Moscone North/South, Moscone Center, San Francisco, CA
- January 3-6, 2024 (Wednesday - Saturday)
- Meeting #1192
Associate Secretary for the AMS Scientific Program:
Michelle Ann Manes, American Institute of Mathematics mmanes@secretariat.ams.org
AMS Special Session on Recent Advances in Stochastic Differential Equation Theory and its Applications in Modeling Biological Systems
-
Friday January 5, 2024, 8:30 a.m.-12:00 p.m.
AMS Special Session on Recent Advances in Stochastic Differential Equation Theory and its Applications in Modeling Biological Systems, I
In recent years, stochastic differential equations (SDEs) have garnered increasing attention across various fields, particularly in biological and medical research. This field has witnessed significant progress, with its applications expanding to classical models in ecology and cancer research. The objective of the special session is to convene researchers in the field and present their latest advances in SDE theory and its applications in mathematical biology.
Room 154, The Moscone Center
Organizers:
Tuan A. Phan, IMCI, University of Idaho tphan@uidaho.edu
Nhu N. Nguyen, University of Rhode Island
Jianjun P. Tian, New Mexico State University
-
8:30 a.m.
A dynamical classification of three species, competitive Lotka-Volterra stochastic differential equations
Sebastian J. Schreiber*, University of California, Davis
(1192-60-32572) -
9:00 a.m.
Stochastic Analysis with Rosenblatt Processes
T E Duncan*, University of Kansas
(1192-60-29766) -
9:30 a.m.
Estimating the growth rate of a birth and death process from the genealogy of a sample
Kathleen Curtius, University of California San Diego
Brian Johnson, University of California San Diego
Jason R Schweinsberg*, University of California San Diego
Yubo Shuai, University of California San Diego
(1192-60-26779) -
10:00 a.m.
Dating, faithfulness, and monogamy
Dhruv Chandra, Dartmouth College
Longmei Shu*, Dartmouth College
(1192-91-30309) -
10:30 a.m.
A Random Attractor for a Stochastic Fractional Klein Gordon Schrodinger system
Michail E. Filippakis*, Department of Digital Systems, Univercity of Piraeus, Greece
(1192-37-27979) -
11:00 a.m.
Population dynamics under random switching
Alexandru Hening*, Texas A&M
Weiwei Qi, University of Alberta
Zhongwei Shen, University of Alberta
Yingfei Yi, University of Alberta
(1192-92-29253) -
11:30 a.m.
CANCELLED Stochastic Dynamics of Tipping
Jinqiao Duan*, Illinois Institute of Technology, Chicago, USA
(1192-37-29229)
-
8:30 a.m.
-
Saturday January 6, 2024, 8:30 a.m.-12:00 p.m.
AMS Special Session on Recent Advances in Stochastic Differential Equation Theory and its Applications in Modeling Biological Systems, II
In recent years, stochastic differential equations (SDEs) have garnered increasing attention across various fields, particularly in biological and medical research. This field has witnessed significant progress, with its applications expanding to classical models in ecology and cancer research. The objective of the special session is to convene researchers in the field and present their latest advances in SDE theory and its applications in mathematical biology.
Room 154, The Moscone Center
Organizers:
Tuan A. Phan, IMCI, University of Idaho tphan@uidaho.edu
Nhu N. Nguyen, University of Rhode Island
Jianjun P. Tian, New Mexico State University
-
8:30 a.m.
Computational Nonlinear Filtering: A Machine Learning Approach
Hongjiang Qian, University of Connecticut
Gang George Yin*, University of Connecticut
Qing Zhang, University of Georgia
(1192-93-28155) -
9:00 a.m.
Stochastic Adaptive Control & Stochastic Differential Equations
Bozenna Pasik-Duncan*, University of Kansas
(1192-93-31406) -
9:30 a.m.
Mathematical modeling of molecular cooperativity and force development in human cardiac muscles
Daniel Fitzsimons, University of Idaho
Tuan Phan*, University of Idaho
(1192-92-29089) -
10:00 a.m.
On the impact of spatially heterogeneous human behavioral factors on 2D dynamics of infectious diseases
Chuntian Wang*, The University of Alabama
(1192-60-26573) -
10:30 a.m.
Dimensional Dependence of Binding Kinetics
Megan Gorringe Dixon*, Brigham Young University
(1192-92-32864) -
11:00 a.m.
Stochastic nutrient-plankton models
Nhu N. Nguyen*, University of Rhode Island
(1192-60-29016)
-
8:30 a.m.
-
Saturday January 6, 2024, 1:30 p.m.-5:00 p.m.
AMS Special Session on Recent Advances in Stochastic Differential Equation Theory and its Applications in Modeling Biological Systems, III
In recent years, stochastic differential equations (SDEs) have garnered increasing attention across various fields, particularly in biological and medical research. This field has witnessed significant progress, with its applications expanding to classical models in ecology and cancer research. The objective of the special session is to convene researchers in the field and present their latest advances in SDE theory and its applications in mathematical biology.
Room 154, The Moscone Center
Organizers:
Tuan A. Phan, IMCI, University of Idaho tphan@uidaho.edu
Nhu N. Nguyen, University of Rhode Island
Jianjun P. Tian, New Mexico State University
-
1:30 p.m.
Limit theorems of quasi-periodically forced 2D stochastic Navier-Stokes Equations in the hypoelliptic setting
Rongchang Liu*, University of Arizona
(1192-60-30516) -
2:00 p.m.
Functional limit theorems for a time-changed Brownian motion
Adina Oprisan*, New Mexico State University
(1192-60-29350) -
2:30 p.m.
Detecting Transition Pathway in Stochastic Dynamical Systems through Optimal Control and Machine Learning
Ting Gao*, Huazhong University of Science and Technology
(1192-37-33028) -
3:00 p.m.
Modeling Options Price Influenced by Disease Pandemic
Subas Acharya*, Johns Hopkins University
Naveen K. Vaidya, San Diego State University
(1192-60-32996) -
3:30 p.m.
Infiltrating dynamics of immune cells into solid tumors
Jianjun Paul Tian*, New Mexico State University
(1192-92-29274)
-
1:30 p.m.