Your own pm- parallel sessions session dongming wei

ICMA VII: The Seventh International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems October 12 -14, 2019
Wexler Hall, Arizona State University, Tempe, Arizona, USA

Organizing Committee:
Abba Gumel, Yang Kuang (co-chairs), School of Mathematical and Statistical Sciences, ASU, AZ Linda Allen, Texas Tech University, Lubbock, TX
Sandeep Balaji, School of Mathematical and Statistical Sciences, AS U., Tempe, AZ
Erika Camacho, School of Mathematical and Natural Sciences, ASU, Glendale, AZ
James M. Cushing, Department of Mathematics, University of Arizona, Tucson, AZ
Alberto d’Onofrio, International Prevention Research Institute, France
Steffen Eikenberry, School of Mathematical and Statistical Sciences, ASU, Tempe, AZ
Silvie Huijben, School of Life Sciences & Center for Evolutionary Medicine, ASU, Tempe, AZ Jifa Jiang, Department of Mathematics, Shanghai Normal University, Shanghai, China
Yun Kang, College of Integrative Sciences and Arts, ASU, Mesa, AZ
Eric Kostelich, School of Mathematical and Statistical Sciences, ASU, Tempe, AZ
Wei Lin, Centre for Computational Systems Biology, Fudan University, Shanghai, China Jean Lubuma, University of Pretoria, South Africa
Grant McFadden, Biodesign Institute, ASU, Tempe, AZ
Renate Mittelmann, School of Mathematical and Statistical Sciences, ASU, Tempe, AZ
Anuj Mubayi, School of Human Evolution and Social Change, ASU, Tempe, AZ
Joel Nishimura, School of Mathematical and Natural Sciences, ASU, Glendale, AZ
Krijn Paaijmans, School of Life Sciences, ASU, Tempe, AZ
Hal Smith, School of Mathematical and Statistical Sciences, ASU, Tempe, AZ
Tracy Stepian, Department of Mathematics, University of Florida, Gainesville, FL
Horst Thieme, School of Mathematical and Statistical Sciences, ASU, Tempe, AZ
Jorge Velasco-Hernandez, Universidad Nacional Autonoma de Mexico, Mexico
Haiyan Wang, School of Mathematical and Natural Sciences, ASU, Glendale, AZ
Hao Wang, Department of Mathematical and Statistical Sciences, University of Alberta, Canada Karen Watanabe-Sailor, School of Mathematical and Natural Sciences, ASU, Glendale, AZ Stephen Wirkus, School of Mathematical and Natural Sciences, ASU, Glendale, AZ
Jianhong Wu, Department of Mathematics and Statistics, York University, Ontario, Canada Xingfu Zou, Department of Applied Mathematics, Western University, Ontario, Canada

BRIEF SCHEDULE FOR ICMA 2019
Plenary lectures will be held in Wexler Hall (WXLR) Room A21
Parallel sessions will be held in WXLR A21 (r1), WXLR A104 (r2), WXLR A107 (r3), WXLR A 113 (r4) By default, the chair of each session is the third speaker of that session
Registration is open 8 AM to 5 PM on October 12, 2019 in WXLR 118

Schedule for Saturday, October 12, 2019

10:00 AM -12:00 PM: Parallel Sessions
Session 01 (r1): Edward Allen, Suzanne Robertson,Linda J S Allen,Nhu Nguyen. Session 02 (r2): Peter Hinow, Craig Thalhauser, Susan Massey, Megan Sawyer.

Session 03 (r3): Adam Lampert, Daniel Cooney, Jim Cushing, Alex Farrell. Session 04 (r4): Jun Chen, M. Gabriela Navas-Zuluoga, Oyita Udiani, Tao Feng.

3:00 PM-3:15 PM: Coffee Break

3:15 PM -4:15 PM: Plenary Lecture (Wexler Hall A21) –Qing Nie (Chair: Yang Kuang)

Schedule for Sunday, October 13, 2019

8:45 AM -9:45 AM: Plenary Lecture (Wexler Hall A21) –Natalia Komarova (Chair: Jim Cushing)

12:00 PM -1:30 PM: Lunch Break (Pizza will be provided, or on your own)

1:30 PM-3:00 PM: Parallel Sessions
Session 17 (r1): Dongming Wei, Tin Phan, Lifeng Han.

4:15 PM-4:30 PM: Coffee Break

4:30 PM -6:00 PM: Parallel Sessions
Session 21 (r1): Richard Rebarber, Sabina Altus, Katherine Owens.

10:00 AM-12:00 PM: Parallel Sessions
Session 25 (r1): Christopher Heggerud, Xiao Wang, Changhan He, Xiaojun Tian.

Session 26 (r2): Benjamin Liu, Zhuolin Qu, Jean Lubuma, Daniel Collister. Session 27 (r3): Hai-Dang Nguyen, Mughda Thakur, Yun Kang.

10:00 AM -12:00 PM: Parallel Sessions

Session 01 (r1)
10:00 -10:30 AM: Environmental variability in SDE population models
Edward Allen, Texas Tech University
10:30 -11:00 AM: The role of the avian nesting curve in structuring enzootic West Nile virus transmission Suzanne Robertson, Virginia Commonwealth University, Richmond
11:00 -11:30 AM: The role of Allee effects on the evolution of semelparity and iteroparity
Linda Allen, Texas Tech University
11:30 AM-12:00PM: How the shape of the fertility-survival curve impacts expected life history strategies Nhu Nguyen, Wayne State University

10:00 -10:30 AM: A honeybee population model with stage structure and seasonality
Jun Chen, Arizona State University
10:30-11:00 AM: To run or not to run? A Markov–chain model for behavioral switch during nest selection in Temnothorax
M. Gabriela Navas-Zuluoga, Arizona State University
11:00-11:30 AM: Disease, demography and the evolution of social organization
Oyita Udiani, University of Tennessee
11:30 AM-12:00 PM: Dynamics of task allocation of social insect colonies
Tao Feng, Arizona State University and Nanjing University of Science and Technology

SATURDAY AFTERNOON (October 12)

3:15 -4:15 PM: Plenary Talk (WXLR A21) –Multiscale cell fate through lens of single cells Qing Nie, University of California, Irvine

SATURDAY AFTERNOON (October 12)

Session 13 (r1)
10:00 -10:30 AM: Traveling wave solutions to Glioblastoma Multiforme growth models.

Ardak Kashkynbayev, Nazarbayev University, Nur-Sultan, Kazakhstan
10:30 -11:00 AM: Multi-type branching process theory with applications to cancer and ecology Feng Fu, Dartmouth College, Hanover
11:00 -11:30 AM: Dynamics and bifurcations of a model of dendritic cell therapy for melanoma Evan Milliken, Arizona State University, Tempe
11:30AM-12:00PM: Exploiting androgen deprivation-induced inflammation in prostate cancer treatment Harsh Jain, Florida State University, Tallahassee

1:30 PM -3:00 PM: Parallel Sessions

Session 17 (r1)
1:30 -2:00 PM: Modeling population dynamics with some generalized logistic type models
Dongming Wei, Nazarbayev University, Nur-Sultan, Kazakhstan
2:00 -2:30 PM: Review: mathematical modeling of androgen deprivation therapy for prostate cancer Tin Phan, Arizona State University
2:30 -3:00 PM: Spatio-temporal forecasting using Gaussian processes with application to predict brain cancer invasion
Lifeng Han, Arizona State University

5:30 -6:00 PM: Modeling CAR T-cell therapy with patient preconditioning
Katherine OwensUniversity of Washington, Seattle
Session 22 (r2)
4:30 -5:00 PM: Dynamic model for life history of scyphozoa
Congbo Xie, Dalian Minzu University, Dalian, Liaoning, China
5:00 -5:30 PM: Dynamics of an intraguild predator-prey system with internal storage in an unstirred chemostat
Feng-Bin Wang, Chang Gung University, Guishan, Taoyuan 333, Taiwan
5:30 -6:00 PM: A stage-structured population model for activity-dependent dendritic spines Morteza Rouhani, Arizona State University

Session 23 (r3)
4:30 -5:00 PM: Towards a multi-scale modeling and analysis of translation dynamics: From molecular to cellular level
Khanh Dao Duc, University of British Columbia, Vancouver
5:00 -5:30 PM: Improved foraging by switching between diffusion and advection: Benefits from movement that depends on spatial context
William Fagan, University of Maryland, College Park
5:30 -6:00 PM: Modeling land-use change, economic development, and malaria dynamics in frontier regions
Andres Baeza-Castro, Arizona State University
Session 24 (r4)
4:30 -5:00 PM: Underlying strain space structure and influenza A eco-evolutionary dynamics
Chadi Saad-Roy, Princeton University, Princeton
5:00 -5:30 PM: Regional level influenza prediction model with mechanistic PDE approach and sampling twitter data
Yufang Wang, Tianjin University of Finance and Economics, Tianjin, China
5:30 -6:00 PM: Combining network theory and partial differential equation to improve influenza prediction Haiyan Wang, Arizona State University, Phoenix

Session 26 (r2)
10:00 -10:30 AM: Accelerating invasions and the asymptotics of fat-tailed dispersal
Benjamin Liu, University of Washington, Seattle
10:30 -11:00 AM: Network modeling the impact of community-based male-screening on the Chlamydia trachomatis prevalence in women
Zhuolin Qu, Tulane University, New Orleans
11:00 -11:30 AM: Backward bifurcations in discrete dynamical systems and applications to nonstandard discretizations of epidemiological models
Jean Lubuma, University of Pretoria, South Africa
11:30 AM -12:00 PM: Using satellite imagery to predict persistence and distribution of populations Daniel Collister, University of California, Riverside

Session 27 (r3)
10:00 -10:30 AM: Persistence and extinction of stochastic Kolmogorov systems
Hai-Dang Nguyen, University of Alabama, Tuscaloosa
10:30 -11:00 AM: Investigating differential impacts of treatment non-adherence on the dynamics of vector-borne diseases: Case study of elimination of Visceral Leishmaniasis from Bihar, India by 2020 Mughda Thakur, Arizona State University
11:00 -11:30 AM: Dynamics of task allocation of social insect colonies
Yun Kang, Arizona State University, Mesa

Abstract: Understanding how environmental randomness affects evolution is of fundamental importance for biology. The presence of temporal or spatial randomness significantly affects the competition dynamics in populations and gives rise to some counterintuitive observations. In this talk, I will present some recent results on the evolutionary dynamics in systems where spatial and temporal randomness affects division and/or death parameters of cells. Of particular interest are the dynamics of non-selected mutants, whose rates come from the same distribution as those of wild type cells. Temporal and spatial types of randomness possess fundamentally different properties. Under temporal randomness, depending on the exact formulation of the update rules, minority mutants can be advantageous, disadvantageous, or neutral. In contrast to this, under spatial randomness, minority mutants are always advantageous.

Applications to biomedical problems, including biofilms and cancer, are discussed.

Title: Stochastically induced extinction, coexistence, and alternative stable states

Abstract: In nature, environmental factors such as temperature, precipitation, and resource availability fluctuate stochastically over time. As survival, growth, and reproduction of organisms depend on these environmental factors, stochastic environmental fluctuations lead to stochastic fluctuations in population densities and genotypic frequencies. In this talk, I will discuss recent mathematical
advances in the analysis of stochastic difference equations to identify when these stochastic fluctuations drive populations extinct, mediate coexistence between competing genotypes or species, or generate alternative stable states within communities. Empirically based applications will be given.

Featured Speakers
co-Winners of the Lord Robert May Best Paper Prize Journal of Biological Dynamics 2017-2018

Invited and contributed talks

Seventh International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems, Tempe, Arizona, October 12-14, 2019

3 Department of Biomedical Science, Rochester Institute of Technology, Rochester, New York, USA

eoasma@rit.edu (* Corresponding author: Ephraim Agyingi)