Robotics & AI Research Conference

RoboAICon2023

23 & 24 March 2023(in-person) to 25 March 2023(virtual)

Hampton By Hilton Rome North Fiano Romano, Rome, Italy

Intelligent robotics, Multimodal human–machine interaction, Novel and biologically inspired robotics, neural networks, Deep learning, Machine learning, Intelligent machines and more.

Secretariat

Welcome From The Conference Secretariat

 

Dear Colleagues,

Global artificial intelligence market is expected to reach USD 190.61 Billion by 2025 growing at a compound annual growth rate of 36.62 percent. Growing demand for big data, increasing adoption of cloud-based technologies, and the increasing demand for intelligent virtual assistants are the primary factors driving this growth.

Focusing on the power of AI and robotics to accelerate business performance and work-force efficiency, The Research Catalyst is organizing Robotics and AI Research Conference 2023 (RoboAICon2023) during March 23-25, 2023 in Rome, Italy. This meeting is set to focus on research and growth prospects, market trends and restraints. The conference sets the stage for discussing dynamic artificial intelligence solutions for addressing everyday challenges.

RoboAICon2023 is where eminent scientists, researchers, academicians, industry leaders, students, policy makers, engineers and business professionals meet to share their ideas and to advance their scientific and technical knowledge in robotics and Artificial Intelligence. The event includes prompt keynote presentations, oral talks, plenary talks, exhibitions, workshops and video and poster presentations which root up their knowledge to excel in these fields.

This event anticipates attendees from all over the world to come together to collaborate and network with each other for better research outcomes. RoboAICon2023 provides excellent opportunities for all the participants to share their passion for Robotics and Artificial Intelligence, and to connect with some of the biggest societies in these fields to advance their career and business goals. We hope this conference will provide the opportunity for all participants to learn about the most recent developments and to exchange views on future directions in Robotics and Artificial Intelligence.

We look forward to seeing you at RoboAICon2023 in Rome.

Regards,
Kris G
Conference Secretary
The Research Catalyst

 

Organizing Committee
image
David Hanson

CEO, Hanson Robotics, Hong Kong

image
Anton Dahbura

Johns Hopkins University, USA

image
Haichao Zhang

Horizon Robotics, USA

image
Huosheng Hu

University of Essex, UK

image
Gitta Kutyniok

LMU, Germany

image
Maki K Habib

The American University in Cairo, Egypt

Plenary Speakers
image
Benjamin Gidron

Ben Gurion University of the Negev, Israel

image
Zoltan Csefalvay

Mathias Corvinus Collegium, Hungary

image
Ralf Muller

FAU, Germany

image
Rossella Arcucci

Imperial College London, UK

image
Chirag Shah

University of Washington-Seattle, USA

Keynote speakers
image
Gila Kurtz

Holon Institute of Technology, Israel

image
Chandra Krintz

UC Santa Barbara, USA

image
Koiti Hasida

The University of Tokyo and RIKEN, Japan

image
Byung Ju Yi

Hanyang University, South Korea

image
Meng Joo Er

Dalian Maritime University, China

image
Arindam Pal

CSIRO, Australia

Invited speakers
image
Hao Yu

Southern University of Science and Technology, China

image
James Brusseau

Pace University, USA

image
Wei Zuo

Chinese Academy of Sciences, China

image
Jian Shi

University of California, San Francisco, USA

image
Zhongqi Miao

Microsoft, USA

image
Karthik Devarajan

Fox Chase Cancer Center, USA

image
Xiaoling Hu

The Hong Kong Polytechnic University, Hong Kong

image
Susanna Siu-sze Yeung

The Education University of Hong Kong, Hong Kong

image
Shen Qiao

The Education University of Hong Kong, Hong Kong

image
V Lakshmi Chetana

VIT-AP University, India

image
Rabiah Ahmad

UTEM, Malaysia

image
Antonella Guzzo

University of Calabria, Italy

image
Bela Bonita Chatterjee

Lancaster University, UK

image
Immaculada Llop-Harillo

Jaume I University, Spain

image
Javier Andres-Esperanza

Jaume I University, Spain

image
Piotr Sowa

Intel Corporation, Poland

image
Devrim Unal

Qatar University, Qatar

image
Leonardo Salvador Arriagada Beltrán

University of Chile, Chile

image
Zhen Xu

4Paradigm, China

image
Ruonan Liu

Tianjin University, China

image
Patrick Fiati

Romapak Ltd, Ghana

Speakers
image
Elias Hossain

Daffodil International University, Bangladesh

Registration

Registration
The registration fee includes attendance to all conference sessions, morning/afternoon coffee breaks and lunches, conference bag and program book.
Participation to the conference is considered final only once the registration fees have been paid. The number of participants is limited: once the number of paid registrations reaches the maximum number of participants, unpaid registrations will be cancelled.

Certificate of Attendance: Upon request, the participants of the event will receive an electronic Certificate of Attendance by email once the event is concluded.

Members of partnering societies will receive a 20% discount on the registration fees. For special discount and group discount requests contact the conference secretariat at: theresearchcatalyst.com/contact

Visa Support Letters
Applicants must have paid for registration and submitted an abstract to get a letter of support. Applicants must provide us with a scan of their valid in date passport that contains a photo of them. Applicants must provide us with an academic CV, two references from their institution (contact information including institutional email and phone) and a letter of support from their institution to confirm that they support the delegate attending the meeting. This must be carried in good time before the meeting, “last minute” requests will not be processed.

Sessions
  • Intelligent robotics
  • Multimodal human–machine interaction
  • Novel and biologically inspired robotics
  • Neural networks & Artificial Neural Networks
  • Deep learning
  • Machine learning
  • Intelligent machines
  • AI-supported Language Learning
Venue and Location

With its unparalleled history, Rome is the third most visited city in Europe and the fourteenth worldwide. It attracts visitors from all over the world who are impatient to discover the city’s impressive monuments and archaeological sites; not to mention its renowned cuisine and its lively atmosphere. 

As the saying goes ‘all roads lead to Rome’ and the conference will bring together delegates from all over the world for the largest and most prestigious event for international speakers, providing an abundance of research and networking opportunities, not to mention the chance to explore one of the most fascinating cities on Earth.

Winter has come to an end and the weather finally starts to warm up in March. You can look forward to mild temperatures with less rainfall than previous months. It’s also a great time to take a city break in Rome if you want to enjoy a more peaceful and quiet atmosphere in the city.

We hope that you enjoy your stay in Rome.

Conference Schedule

DAY 1

 

09:10 AM

Exploring Impact Tech Startups: A ML Methodology to Identify a New Organizational Category

 

Dr. Benjamin Gidron

Ben Gurion University of the Negev, Israel

 

10:00 AM

Machine learning approaches for classification and clinical detection of bevacizumab responsive glioblastoma subtypes based on miRNA expression

 

Dr. Jian Shi

University of California, San Francisco, USA

 

10:30 AM

Deep Learning Based Edge ComputingPlatform for Robotic VSLAM

 

Dr. Hao Yu

Southern University of Science and Technology, China

 

11:00 AM

TBA

 

TBA

TBA 



 

Session Break 11:30 AM - 11:50 AM



 

11:50 AM

TBA

 

Dr. Byung Ju Yi

Hanyang University, South Korea

 

12:40 PM

Child sex dolls/robots and the criminal law framework in the UK

 

Dr. Bela Bonita Chatterjee

Lancaster University, UK



 

Lunch Break 01:10 PM - 02:10 PM



 

02:10 PM

TBA

 

TBA

TBA

 

02:40 PM

TBA

 

Dr. Shen Qiao

The Education University of Hong Kong, Hong Kong

 

 

03:10 PM

Using humanoid robots (HR) as instructional tools: The research voice

 

Dr. Gila Kurtz

Holon Institute of Technology, Israel



 

Session Break 04:00 PM - 04:20 PM


 

 

04:20 PM

Data Learning: Integrating Data Assimilation and Machine Learning for reliable AI models

 

Dr. Rossella Arcucci

Imperial College London, UK

DAY 2

 

09:10 AM

 

TBA

 

Dr. Zoltan Csefalvay

Mathias Corvinus Collegium, Hungary


 

10:00 AM

Graph representation learning for fault diagnosis in process industry

 

Ruonan Liu

Tianjin University, China


 

10:30 AM

AI-supported story retell and language learning: A pilot study involving second language learners

 

Susanna Siu-sze Yeung

The Education University of Hong Kong, Hong Kong


 

11:00 AM

Robust autonomous driving systems through adversarial test set generation

 

Devrim Unal

Qatar University, Qatar



 

Session Break 11:30 AM - 11:50 AM



 

11:50 AM

Most resource-efficient matrix-vector multiplication on FPGAs

 

Ralf Muller

FAU, Germany


 

12:40 PM

TBA

 

TBA

TBA

 

DAY 3 - Virtual(Tentative Program)

 

09:10 AM

Personal AI: Maximizing the Value of Personal Data while Defending Human Rights and Democracy

 

Koiti Hasida

The University of Tokyo and RIKEN, Japan

 

09:55 AM

Mobile Exoneuromusculoskeleton for Telerehabilitation after Stroke

 

Xiaoling Hu

The Hong Kong Polytechnic University, Hong Kong

 

10:20 AM

Detecting Phishing Websites: A Tale of Two Algorithms

 

Arindam Pal

CSIRO, Australia

 

11:05 AM

Cognitive Robotics: Research Challenges, Recent Advances and Futuristic Trend

 

Meng Joo Er

Dalian Maritime University, China

 

11:50 AM

Machine Learning Fusion Multi-Source Data Features for Classification Prediction of Lunar Surface Geological Units

 

Wei Zuo

Chinese Academy of Sciences, China

 

12:15 PM

Deep CF-AMVRGO: Deep Collaborative Filtering using Adaptive Moment Variance Reduced Gradient Optimizer

 

V Lakshmi Chetana

VIT- AP university, India

 

12:40 PM

TBA

 

Antonella Guzzo

University of Calabria, Italy

 

01:05 PM

Computer Vision Live Demo Web Site iGPU.io

 

Piotr Sowa

Intel Corporation, Poland

 

01:30 PM

TBA

 

Kirill A Veselkov

Imperial College London, UK

 

02:15 PM

Challenges in deep learning: Applications to real-world ecological datasets

 

Zhongqi Miao

Microsoft, USA

 

02:40 PM

Integrative machine learning approaches for large-scale biomedical data analytics

 

Karthik Devarajan

Fox Chase Cancer Center, USA

 

03:05 PM

SmartFarm: IoT AI Systems That Enable Precision Agriculture

 

Chirag Shah

University of Washington-Seattle, USA