Expertini Research Research

Browse Research Papers

424+ open-access research outputs.

✕ Clear
🔍 gene cooperman 📂 Engineering
Showing 424 results for "gene cooperman" in Engineering
Engineering Preprint PDF DOI

Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach

Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski, Ramoni Adeogun · 2026

Resource allocation in integrated sensing and communication (ISAC) systems needs to be optimized to balance the requirements of the communication and sensing modules considering complicated cross-laye…

Read Paper →
Engineering Preprint PDF DOI

An Exponentially stable Extended Kalman Filter with Estimate dependent Process noise Covariance for Chemical Reaction Networks

Suryasnata Dash, Abhishek Dey · 2026

Biomolecular systems are often modeled with partially known nonlinear stochastic dynamics, making state and parameter estimation a central challenge. While Kalman filtering techniques are widely used …

Read Paper →
Engineering Preprint PDF DOI

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

Wenjian Hao, Yuxuan Fang, Zehui Lu, Shaoshuai Mou · 2026

This paper presents a model-based reinforcement learning (RL) framework for optimal closed-loop control of nonlinear robotic systems. The proposed approach learns linear lifted dynamics through Koopma…

Read Paper →
Engineering Preprint PDF DOI

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc-Felix Nguyen-Tan, Laurent Letourneau-Guillon, Houda Bahig, Samuel Kadoury · 2026

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria. Recent…

Read Paper →
Engineering Preprint PDF DOI

Genie Sim PanoRecon: Fast Immersive Scene Generation from Single-View Panorama

Zhijun Li, Yongxin Su, Di Yang, Jichao Wang, Zheyuan Xing, Qian Wang, Maoqing Yao · 2026

We present Genie Sim PanoRecon, a feed-forward Gaussian-splatting pipeline that delivers high-fidelity, low-cost 3D scenes for robotic manipulation simulation. The panorama input is decomposed into si…

Read Paper →
Engineering Preprint PDF DOI

Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation

Pierrick Lorang, Johannes Huemer, Timothy Duggan, Kai Goebel, Patrik Zips, Matthias Scheutz · 2026

Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central challenge in robotics. Existing neuro-symbolic approaches often rely on hand-crafted symboli…

Read Paper →
Engineering Preprint PDF DOI

SwarmCoDe: A Scalable Co-Design Framework for Heterogeneous Robot Swarms via Dynamic Speciation

Andrew Wilhelm, Josie Hughes · 2026

Robot swarms offer inherent robustness and the capacity to execute complex, collaborative tasks surpassing the capabilities of single-agent systems. Co-designing these systems is critical, as marginal…

Read Paper →
Engineering Preprint PDF DOI

GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Indoor--Outdoor Boundaries

Daehan Lee, Hyungtae Lim, Seongjun Kim, Soonbin Rho, Changhyeon Lee, Sanghyun Park, Junwoo Hong, Eunseon Choi, Hyunyoung Jo, Soohee Han · 2026

Light detection and ranging (LiDAR)-inertial odometry (LIO) enables accurate localization and mapping for autonomous navigation in various scenes. However, its performance remains sensitive to variati…

Read Paper →
Engineering Preprint PDF DOI

Evaluating Pretrained General-Purpose Audio Representations for Music Genre Classification

Kashish Rai, Mrinmoy Bhattacharjee · 2026

This study investigates the use of self-supervised learning embeddings, particularly BYOL-A, in conjunction with a deep neural network classifier for Music Genre Classification. Our experiments demons…

Read Paper →
Engineering Preprint PDF DOI

Whole-Body Safe Control of Robotic Systems with Koopman Neural Dynamics

Sebin Jung, Abulikemu Abuduweili, Jiaxing Li, Changliu Liu · 2026

Controlling robots with strongly nonlinear, high-dimensional dynamics remains challenging, as direct nonlinear optimization with safety constraints is often intractable in real time. The Koopman opera…

Read Paper →
Engineering Preprint PDF DOI

RL-Based Coverage Path Planning for Deformable Objects on 3D Surfaces

Yuhang Zhang, Jinming Ma, Feng Wu · 2026

Currently, manipulation tasks for deformable objects often focus on activities like folding clothes, handling ropes, and manipulating bags. However, research on contact-rich tasks involving deformable…

Read Paper →
Engineering Preprint PDF DOI

Molecular Dynamics Simulations Reveal PolyQ-Length-Dependent Conformational Changes in Huntingtin Exon-1: Implications for Environmental Co-Solvent Modulation of Aggregation-Prone States

Jai Geddes-Nelson, Xiaochen Liu, Ken-Tye Yong · 2026

Huntington's disease (HD) is caused by CAG-repeat expansion in HTT, which lengthens the polyglutamine (polyQ) tract in huntingtin (HTT) and promotes misfolding and aggregation. While polyQ-length-depe…

Read Paper →
Engineering Preprint PDF DOI

Multicellular Feedback Control Strategies in Synthetic Microbial Consortia: From Embedded to Distributed Control

Mario di Bernardo · 2026

Living organisms rely on endogenous feedback mechanisms to maintain homeostasis in the presence of uncertainty and environmental fluctuations. An emerging challenge at the interface of control systems…

Read Paper →
Engineering Preprint PDF DOI

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction

Yinhua Piao, Hyomin Kim, Seonghwan Kim, Yunhak Oh, Junhyeok Jeon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn · 2026

Predicting high-dimensional transcriptional responses to genetic perturbations is challenging due to severe experimental noise and sparse gene-level effects. Existing methods often suffer from mean co…

Read Paper →
Engineering Preprint PDF DOI

Heterogeneity-agnostic AI/ML-assisted beam selection for multi-panel arrays

Ibrahim Kilinc, Robert W. Heath Jr · 2026

AI/ML-based beam selection methods coupled with location information effectively reduce beam training overhead. Unfortunately, heterogeneous antenna hardware with varying dimensions, orientations, cod…

Read Paper →
Engineering Preprint PDF DOI

RoboSubtaskNet: Temporal Sub-task Segmentation for Human-to-Robot Skill Transfer in Real-World Environments

Dharmendra Sharma, Archit Sharma, John Rebeiro, Vaibhav Kesharwani, Peeyush Thakur, Narendra Kumar Dhar, Laxmidhar Behera · 2026

Temporally locating and classifying fine-grained sub-task segments in long, untrimmed videos is crucial to safe human-robot collaboration. Unlike generic activity recognition, collaborative manipulati…

Read Paper →
Engineering Preprint PDF DOI

Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics

Ali ElSheikh, Rui-Xi Wang, Weimin Wu, Yibo Wen, Payam Dibaeinia, Jennifer Yuntong Zhang, Jerry Yao-Chieh Hu, Mei Knudson, Sudarshan Babu, Shao-Hua Sun, Aly A. Khan, Han Liu · 2026

Single-cell foundation models learn by reconstructing masked gene expression, implicitly treating technical noise as signal. With dropout rates exceeding 90%, reconstruction objectives encourage model…

Read Paper →
Engineering Preprint PDF DOI

Advanced techniques and applications of LiDAR Place Recognition in Agricultural Environments: A Comprehensive Survey

Judith Vilella-Cantos, Monica Ballesta, David Valiente, Maria Flores, Luis Paya · 2026

An optimal solution to the localization problem is essential for developing autonomous robotic systems. Apart from autonomous vehicles, precision agriculture is one of the elds that can bene t most fr…

Read Paper →
Engineering Preprint PDF DOI

Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot

Chenghao Yin, Da Huang, Di Yang, Jichao Wang, Nanshu Zhao, Chen Xu, Wenjun Sun, Linjie Hou, Zhijun Li, Junhui Wu, Zhaobo Liu, Zhen Xiao, Sheng Zhang, Lei Bao, Rui Feng, Zhenquan Pang, Jiayu Li, Qian Wang, Maoqing Yao · 2026

The development of robust and generalizable robot learning models is critically contingent upon the availability of large-scale, diverse training data and reliable evaluation benchmarks. Collecting da…

Read Paper →
Engineering Preprint PDF DOI

Host-Aware Control of Gene Expression using Data-Enabled Predictive Control

Liam Perreault, Idris Kempf, Kirill Sechkar, Jean-Baptiste Lugagne, Antonis Papachristodoulou · 2026

Cybergenetic gene expression control in bacteria enables applications in engineering biology, drug development, and biomanufacturing. AI-based controllers offer new possibilities for real-time, single…

Read Paper →
Page 1 of 22 Next →