Faculty

Institution

Unit

Venue

Iman Soltani

Assistant Professor

University of California, Davis

Affiliations

Computer Science

Artificial Intelligence and Machine Learning

College of Engineering

Computer Science

Electrical and Computer Engineering

Mechanical and Aerospace Engineering

Dynamics, Controls, Vehicles and Robotics

Electrical and Computer Engineering

Information Systems

Iman Soltani is currently serving as an Artificial Intelligence And Machine Learning Assistant Professor at University of California, Davis.

Honors

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Experiences

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Education

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Iman Soltani

University of California, Davis

Assistant Professor

You can click a keyword to filter the displayed items

computer science mechanical engineering machine learning deep learning materials science microscopy anomaly detection biophysics signal processing cartilage nanometrology adversarial machine learning tissue engineering orthopedic surgery rheology nanomaterials mechanical science scientific computing data security intelligent computing drug analysis analytical toxicology pharmaceutics control system technology automatic control vehicular technology machine vision high-rate loading orthopedic biomechanics medical biophysics nanotribology nanomechanics nanobiotechnology nanoscale science domain adaptation pharmaceutical technology analytical biotechnology liquid chromatography generative adversarial networks condition monitoring command and control problem diagnosis control science fault diagnosis positioning systems autonomous navigation autoencoders black holes cognitive robotics high loading rates early stages erythromycin ethylsuccinate machinery condition monitoring empirical mode decomposition signal analysis combined spectral subtraction oil debris sensors assembly automation pose estimation multi-eigenmode control mechanical faults impulsive vibration signatures frequency demodulation proportional-integral-derivative control visual path navigation computational intelligence machine learning research industrial artificial intelligence learning classifier system artificial intelligence applied artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hierarchical End-To-End Autonomous Navigation Through Few-Shot Waypoint Detection. IEEE Robotics and Automation Letters (2024)

Amin GhafourianZhongying CuiZhuDebo ShiIan ChuangFrancois CharetteRithik SachdevaIman Soltani

systems engineeringvehicular technologyroboticscomputer sciencenavigationautonomous navigationcomputer vision

Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center. IEEE Transactions on Neural Networks and Learning Systems (2024)

Amin GhafourianHuanyi ShuiDevesh UpadhyayRajesh GuptaDimitar FilevIman Soltani

autoencodersanomaly detectionmachine learninggalactic centerplanetary sciencesdeep learningblack holes

Anomaly Detection With Domain Adaptation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Ziyi YangIman SoltaniEric Darve

anomaly detectiondomain adaptationcomputer sciencemachine learning

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation. Sensors (2023)

Debo ShiAlireza RahimpourAmin GhafourianMohammad Mahdi Naddaf SharghDevesh UpadhyayTy A. LaskyIman Soltani

computer scienceassembly automationcomputer visionpose estimationdeep learning

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles. arXiv (Cornell University) (2023)

CuiZhu, ZhongyingCharette, FrancoisGhafourian, AminShi, DeboCui, MatthewKrishnamachar, AnjaliSoltani, Iman

pattern recognitioncognitive roboticsvisual path navigationone-shot learningroboticscomputer sciencemachine learningcomputer visionmachine visionautonomous vehiclesdeep learning

Memory-Augmented Generative Adversarial Networks for Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems (2021)

Ziyi YangTeng ZhangIman Soltani BozchalooiEric Darve

computer securityscientific computingsystems engineeringmemorydata securityintelligent computinganomaly detectioncomputer sciencemachine learningadversarial machine learningdata sciencedeep learning

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. Frontiers in artificial intelligence and applications (2020)

Ziyi YangIman Soltani BozchalooiEric Darve

applied mathematicsanomaly detectionmachine learningadversarial machine learninggenerative adversarial networksdeep learning

Induced Vibration Contact Detection for Minimizing Cantilever Tip-Sample Interaction Forces in Jumping Mode Atomic Force Microscopy. 2022 American Control Conference (ACC) (2017)

F. XiaI. Soltani BozchalooiK. Youcef-Toumi

microscopynanometrologyapplied physicsmaterials sciencemechanical engineering

Aggrecan Nanoscale Solid–Fluid Interactions Are a Primary Determinant of Cartilage Dynamic Mechanical Properties. ACS Nano (2015)

Hadi Tavakoli NiaLin HanIman Soltani BozchalooiPeter RoughleyKamal Youcef-ToumiAlan J. GrodzinskyChristine Ortiz

nanotribologynanomaterialsmechanical sciencecartilagebiomedical engineeringmaterials scienceapplied physicsnanoengineeringnanomechanicsnanomedicinenanometrologynanobiotechnologynanotechnologynanoscale science

A Study on the Effectiveness of Proportional-Integral-Derivative Control in Multi-Actuated Atomic Force Microscopy. 2022 American Control Conference (ACC) (2015)

I. Soltani BozchalooiA. C. HouckK. Youcef-Toumi

biophysicsmicroscopyapplied physicsproportional-integral-derivative control

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10 / page

Iman Soltani

Assistant Professor

University of California, Davis

Affiliations

Computer Science

Artificial Intelligence and Machine Learning

College of Engineering

Computer Science

Electrical and Computer Engineering

Mechanical and Aerospace Engineering

Dynamics, Controls, Vehicles and Robotics

Electrical and Computer Engineering

Information Systems

Iman Soltani is currently serving as an Artificial Intelligence And Machine Learning Assistant Professor at University of California, Davis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Iman Soltani

University of California, Davis

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hierarchical End-To-End Autonomous Navigation Through Few-Shot Waypoint Detection. IEEE Robotics and Automation Letters (2024)

Amin GhafourianZhongying CuiZhuDebo ShiIan ChuangFrancois CharetteRithik SachdevaIman Soltani

systems engineeringvehicular technologyroboticscomputer sciencenavigationautonomous navigationcomputer vision

Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center. IEEE Transactions on Neural Networks and Learning Systems (2024)

Amin GhafourianHuanyi ShuiDevesh UpadhyayRajesh GuptaDimitar FilevIman Soltani

autoencodersanomaly detectionmachine learninggalactic centerplanetary sciencesdeep learningblack holes

Anomaly Detection With Domain Adaptation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Ziyi YangIman SoltaniEric Darve

anomaly detectiondomain adaptationcomputer sciencemachine learning

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation. Sensors (2023)

Debo ShiAlireza RahimpourAmin GhafourianMohammad Mahdi Naddaf SharghDevesh UpadhyayTy A. LaskyIman Soltani

computer scienceassembly automationcomputer visionpose estimationdeep learning

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles. arXiv (Cornell University) (2023)

CuiZhu, ZhongyingCharette, FrancoisGhafourian, AminShi, DeboCui, MatthewKrishnamachar, AnjaliSoltani, Iman

pattern recognitioncognitive roboticsvisual path navigationone-shot learningroboticscomputer sciencemachine learningcomputer visionmachine visionautonomous vehiclesdeep learning

Memory-Augmented Generative Adversarial Networks for Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems (2021)

Ziyi YangTeng ZhangIman Soltani BozchalooiEric Darve

computer securityscientific computingsystems engineeringmemorydata securityintelligent computinganomaly detectioncomputer sciencemachine learningadversarial machine learningdata sciencedeep learning

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. Frontiers in artificial intelligence and applications (2020)

Ziyi YangIman Soltani BozchalooiEric Darve

applied mathematicsanomaly detectionmachine learningadversarial machine learninggenerative adversarial networksdeep learning

Induced Vibration Contact Detection for Minimizing Cantilever Tip-Sample Interaction Forces in Jumping Mode Atomic Force Microscopy. 2022 American Control Conference (ACC) (2017)

F. XiaI. Soltani BozchalooiK. Youcef-Toumi

microscopynanometrologyapplied physicsmaterials sciencemechanical engineering

Aggrecan Nanoscale Solid–Fluid Interactions Are a Primary Determinant of Cartilage Dynamic Mechanical Properties. ACS Nano (2015)

Hadi Tavakoli NiaLin HanIman Soltani BozchalooiPeter RoughleyKamal Youcef-ToumiAlan J. GrodzinskyChristine Ortiz

A Study on the Effectiveness of Proportional-Integral-Derivative Control in Multi-Actuated Atomic Force Microscopy. 2022 American Control Conference (ACC) (2015)

I. Soltani BozchalooiA. C. HouckK. Youcef-Toumi

biophysicsmicroscopyapplied physicsproportional-integral-derivative control

1
2
10 / page

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Similar Faculty Members

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Sagar Kamarthi

Institution

Northeastern University

smart manufacturing

sustainable manufacturing

Yexiang Xue

Institution

Purdue University

big data

applied artificial intelligence

Xiangliang Lynn Zhang

Institution

University of Notre Dame

evolutionary data mining

optimization-based data mining

Costas J. Spanos

Institution

University of California, Berkeley

computer-integrated manufacturing

industrial artificial intelligence

Stephen Baek

Institution

University of Virginia

mechanical engineering

medicine

Sudeep Sarkar

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University of South Florida

pattern recognition

predictive learning

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Yanzhi Wang

Institution

Northeastern University

deep learning

computational intelligence

Soumik Sarkar

Institution

Iowa State University

industrial informatics

supervisory control