Heman Shakeri

According to our database, Heman Shakeri authored at least 33 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep Kernel Learning for Stratifying Glaucoma Trajectories.

Bruce Rushing, Angela Danquah, Alireza Namazi, Arjun Dirghangi, Heman Shakeri

CoRR, May, 2026

From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting.

Alireza Namazi, Heman Shakeri

CoRR, May, 2026

FlashSpread: IO-Aware GPU Simulation of Non-Markovian Epidemic Dynamics via Kernel Fusion.

Heman Shakeri, Behnaz Moradijamei, Aram Vajdi, Ehsan Ardjmand

CoRR, April, 2026

The Metaphysics We Train: A Heideggerian Reading of Machine Learning.

Heman Shakeri

CoRR, February, 2026

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems.

Amirreza Dolatpour Fathkouhi, Alireza Namazi, Heman Shakeri

CoRR, February, 2026

Graph-embedded reinforcement learning for dynamic pricing and advertising under network effects.

Ehsan Ardjmand, Esmaeil Izadi, Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri

Appl. Soft Comput., 2026

2025

Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens.

Alireza Namazi, Amirreza Dolatpour Fathkouhi, Heman Shakeri

CoRR, December, 2025

A Fast Algorithm for Finding Minimum Weight Cycles in Mining Cyclic Graph Topologies.

Heman Shakeri, Torben Amtoft, Behnaz Moradijamei, Nathan Albin, Pietro Poggi-Corradini

CoRR, December, 2025

The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting.

Heman Shakeri

CoRR, November, 2025

Fusing Biomechanical and Spatio-Temporal Features for Fall Prediction: Characterizing and Mitigating the Simulation-to-Reality Gap.

Md. Fokhrul Islam, Sajeda Al-Hammouri, Christopher J. Arellano, Kavan Hazeli, Heman Shakeri

CoRR, November, 2025

Online Meal Detection Based on CGM Data Dynamics.

Ali Tavasoli, Heman Shakeri

CoRR, July, 2025

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points.

Justin Lee, Behnaz Moradijamei, Heman Shakeri

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The art of interconnections: Achieving maximum algebraic connectivity in multilayer networks.

Ali Tavasoli, Heman Shakeri, Ehsan Ardjmand, Shakil Rahman

Netw. Sci., 2024

Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors.

Ali Tavasoli, Heman Shakeri

Proceedings of the American Control Conference, 2024

2023

Competitive pricing under local network effects.

Ali Tavasoli, Mehrdad Fazli, Ehsan Ardjmand, William A. Young II, Heman Shakeri

Eur. J. Oper. Res., December, 2023

Characterizing the load profile in power grids by Koopman mode decomposition of interconnected dynamics.

Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri

CoRR, 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

Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral Load.

Mehrdad Fazli, Heman Shakeri

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study.

Mehrdad Fazli, Heman Shakeri

CoRR, 2022

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

2021

Incentive rate determination in viral marketing.

Ali Tavasoli, Heman Shakeri, Ehsan Ardjmand, William A. Young II

Eur. J. Oper. Res., 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

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

Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak.

Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections.

Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri

CoRR, 2020

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

Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties.

Heman Shakeri, Ali Tavasoli, Ehsan Ardjmand, Pietro Poggi-Corradini

CoRR, 2019

2018

New methods for incorporating network cyclic structures to improve community detection.

Behnaz Moradi, Heman Shakeri, Pietro Poggi-Corradini, Michael J. Higgins

CoRR, 2018

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

Egocentric Effective Conductance Centrality and General Degree.

Heman Shakeri, Behnaz Moradijamei, Pietro Poggi-Corradini, Nathan Albin, Caterina M. Scoglio

CoRR, 2017

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

Modulus of families of loops with applications in network analysis.

Heman Shakeri, Pietro Poggi-Corradini, Nathan Albin, Caterina M. Scoglio

CoRR, 2016