Modulus of families of loops with applications in network analysis. - Heman Shakeri; Pietro Poggi-Corradini; Nathan Albin; Caterina M. Scoglio (CoRR, 2016)

Generalized network measures based on modulus of families of walks. - Heman Shakeri; Pietro Poggi-Corradini; Caterina M. Scoglio; Nathan Albin (J. Comput. Appl. Math., 2016)

Egocentric Effective Conductance Centrality and General Degree. - Heman Shakeri; Behnaz Moradijamei; Pietro Poggi-Corradini; Nathan Albin; Caterina M. Scoglio (CoRR, 2017)

GEMFsim: A stochastic simulator for the generalized epidemic modeling framework. - Faryad Darabi Sahneh; Aram Vajdi; Heman Shakeri; Futing Fan; Caterina M. Scoglio (J. Comput. Sci., 2017)

New methods for incorporating network cyclic structures to improve community detection. - Behnaz Moradi; Heman Shakeri; Pietro Poggi-Corradini; Michael J. Higgins (CoRR, 2018)

Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties. - Heman Shakeri; Ali Tavasoli; Ehsan Ardjmand; Pietro Poggi-Corradini (CoRR, 2019)

A study of the robustness of optical networks under massive failures. - José-Luis Marzo; Sergio G. Cosgaya; Nina Skorin-Kapov; Caterina M. Scoglio; Heman Shakeri (Opt. Switch. Netw., 2019)

Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections. - Ali Tavasoli; Ehsan Ardjmand; Heman Shakeri (CoRR, 2020)

A hybrid artificial neural network, genetic algorithm and column generation heuristic for minimizing makespan in manual order picking operations. - Ehsan Ardjmand; Iman Ghalehkhondabi; William A. Young II; Azadeh Sadeghi; Gary R. Weckman; Heman Shakeri (Expert Syst. Appl., 2020)

Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. - Mehrdad Fazli; Samuel Sklar; Michael D. Porter; Brent A. French; Heman Shakeri (IEEE BigData, 2021)

Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach. - Ehsan Ardjmand; Manjeet Singh; Heman Shakeri; Ali Tavasoli; William A. Young II (Appl. Soft Comput., 2021)

A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model. - Ali Tavasoli; Teague Henry; Heman Shakeri (CoRR, 2021)

Incentive rate determination in viral marketing. - Ali Tavasoli; Heman Shakeri; Ehsan Ardjmand; William A. Young II (Eur. J. Oper. Res., 2021)

Using Machine Learning to Evaluate Real Estate Prices Using Location Big Data. - Walter Coleman; Ben Johann; Nicholas Pasternak; Jaya Vellayan; Natasha Foutz; Heman Shakeri (CoRR, 2022)

Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study. - Mehrdad Fazli; Heman Shakeri (CoRR, 2022)

Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral Load. - Mehrdad Fazli; Heman Shakeri (IEEE Big Data, 2023)

MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry. - Bruce A. Corliss; Yaotian Wang; Francis P. Driscoll; Heman Shakeri; Philip E. Bourne (CoRR, 2023)

Characterizing the load profile in power grids by Koopman mode decomposition of interconnected dynamics. - Ali Tavasoli; Behnaz Moradijamei; Heman Shakeri (CoRR, 2023)

Competitive pricing under local network effects. - Ali Tavasoli; Mehrdad Fazli; Ehsan Ardjmand; William A. Young II; Heman Shakeri (Eur. J. Oper. Res., 2023)

Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors. - Ali Tavasoli; Heman Shakeri (ACC, 2024)

The art of interconnections: Achieving maximum algebraic connectivity in multilayer networks. - Ali Tavasoli; Heman Shakeri; Ehsan Ardjmand; Shakil Rahman (Netw. Sci., 2024)

Online Meal Detection Based on CGM Data Dynamics. - Ali Tavasoli; Heman Shakeri (CoRR, 2025)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points. - Justin Lee; Behnaz Moradijamei; Heman Shakeri (CoRR, 2025)