CONF-MSS 2025
The symposium will be held both online and offline. If you want to join the Zoom meeting online, please contact us at sympo_london@confmss.org

Symposium Organizer:

Organizer:

University of East London (UEL)

Chair:

Dr. Hisham AbouGrad

Senior Lecturer in University of East London

Dr. Hisham AbouGrad, DProf, MSc, MBA, PGCHEP, FHEA, CITP MBCS, PMP, ITQM, is a Senior Lecturer in Computer Science & Digital Technologies with a robust academic and research background. His expertise lies in artificial intelligence (AI), machine learning (ML), cybersecurity, financial technology (FinTech), multi-criteria decision making (MCDM), and information systems performance. Dr. AbouGrad actively collaborates with fellow researchers and supervise PhD and DProf students on projects that bridge theoretical knowledge with practical application. Particularly, he has supervised innovative projects such as the development of Contactless Payment Mobile Applications utilising QR Code and NFC Technologies, and predictive modeling systems for financial applications using ML. These projects provide invaluable hands-on experience, particularly in emerging technologies like mobile app development and financial performance prediction. Dr. AbouGrad’s research contributions are well-documented through his numerous publications, which address critical issues in ML, information security, and financial applications. His recent work, including a research paper "AI-Framework to Predict eCommerce Fake Reviews: A Hybrid Neural Network Machine Learning Model," showcases his ability to apply advanced AI methodologies to solve real-world financial and sustainability challenges by emphasising on quality, scalability, and reliability. His contributions not only advance academic knowledge but also have significant implications for sustainable business environment. More details on his work are available on Google Scholar (t.ly/RKhC6) and LinkedIn (linkedin.com/in/habougrad)

Symposium Committee Members：

Dr. Mhd Saeed Sharif, UEL, London, UK   s.sharif@uel.ac.uk

Dr. Mustansar Ghazanfar, UEL, London, UK   m.ghazanfar@uel.ac.uk

Dr. Salem Alsaid, Sebha University, Sebha, Libya   sal.alsaid@sebhau.edu.ly

Dr. Ahmed Abubahia, Edge Hill University, Ormskirk, UK   ahmed.abubahia@edgehill.ac.uk

Call for Papers:

Scope and Information for Participants:

This symposium invites contributions that explore these themes by presenting novel research, practical applications, and case studies. The symposium will also explore the development of robust control architectures that support scalable toward resilient operations. Other key themes include the application of machine learning algorithms for predictive analysis and autonomous decision-making and the role of IoT in creating interconnected smart environments. The symposium aims to explore the synergy between AI and IoT in advancing smart robotic systems. The scope includes theoretical and practical contributions across several key themes:

  • AI-driven Automation
  • IoT Integration
  • Smart Security Systems
  • Autonomous Control Systems
  • Real-time Database Systems
  • Ethical and Security Concerns

Goal/Rationale:

The integration of AI and IoT into smart robotic systems presents a transformative opportunity, but also introduces significant challenges. The primary issue revolves around developing systems that can autonomously adapt to complex environments in real-time, ensuring reliability, efficiency, and security. Traditional approaches to automation and control often fall short in handling the dynamic and unpredictable nature of modern applications, particularly in areas such as smart security, autonomous, and automation systems. Recent advances in AI, particularly in machine learning and deep learning algorithms, offer promising solutions by enabling robotic systems to learn from data, make informed decisions, and improve over time. Meanwhile, IoT advancements have enhanced the ability of devices to communicate and share data in real-time, making it possible to create more responsive and interconnected systems. However, the challenge lies in effectively integrating these technologies to develop robust, scalable, and secure systems capable of functioning in diverse and resource-constrained environments.

To address these challenges, research must focus on developing innovative algorithms and architectures that can leverage the strengths of both AI and IoT. This includes creating efficient IoT real-time database systems by enhancing machine learning control algorithms and ensuring the security of autonomous control systems. Collaboration between academia, industry, and government will be crucial to achieving these goals and driving the next generation of smart robotic systems.

Topics

The main topics of this symposium are listed below.

Mechanics and Automation

  • Machine Design
  • Mechanical CAD/CAM
  • Mechanical Power Engineering
  • Mechanical Dynamics
  • Process Control & Instrumentation
  • Flexible Manufacturing Systems
  • Integrated Manufacturing
  • Precision Manufacturing & Measurement
  • Fault Detection and Diagnostics
  • Physical System Modelling
  • Manufacturing Automation
  • Industrial Automation
  • Micro- and Nano-scale Automation
  • Advanced Intelligent Mechatronics
  • Machine Vision System
  • Human-Machine Interaction
  • Real-time Systems

Robotics

  • Mechatronics and Robotics
  • Bio-inspired Robotics
  • Evolutional Robotics
  • Field Robotics
  • Manufacturing Robotics
  • Healthcare Robotics and Medical Robotics
  • Wearable Exoskeleton and Powered Exoskeleton
  • Parallel Robots and Manipulators
  • Robotic Cognition and Emotion
  • Robotic Perception and Decision
  • Human-Robot Interaction
  • Control Algorithms and Control Systems
  • Kinematics and Dynamics Analysis
  • Mathematical and Computational Methodologies in Robotics

Meanwhile, submissions aligned with the overall conference theme are also welcome.

Electronics and Sensors

  • Sensors / Actuators
  • Sensor Design, Sensor Fusion, Sensor Networks
  • Sensing and Measurement in Electromechanical Systems
  • Intelligent Sensing and Control
  • Micro-nano Electromechanical System
  • Micro and Nano Mechatronics
  • Mechatronics in MEMS
  • Microfluidic Technology

Smart System

  • Smart Grids, Smart Power Delivery Systems
  • Power Engineering
  • Distributed Generation Systems
  • High Voltage Systems
  • Power Quality (PQ)
  • Power System Reliability
  • Transportation and Traffic Engineering
  • Power Electronics and Drives
  • Electric Motors and Transformers
  • Grid to Vehicle (G2V) and Vehicle to Grid (V2G)
  • Electric Vehicles
  • Autonomous Driving
  • Smart Transportation and Smart City
  • Civil Engineering

Submission:

Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download

Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to sympo_london@confmss.org

Important Dates:

Process Date & Time
Submission Deadline December 2, 2024
Symposium Date December 9, 2024
Notification of Acceptance 7-20 workdays

Publication:

Symposium Proceedings

Accepted papers will be published in Applied and Computational Engineering (ACE) (Print ISSN 2755-2721), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Publication info

Title: Applied and Computational Engineering (ACE)
Press: EWA Publishing, United Kingdom
ISSN: 2755-2721 2755-273X (electronic)

This symposium is organized by CONF-MSS 2025 and it will independently proceed the submission and publication process.

* The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.

Highlights:

The AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS 2025 Symposium took place on Monday, 9th December 2024, at the University of East London (UEL). As the organiser, I was pleased to contribute to the event by submitting two papers and co-authoring another two, resulting in four research papers accepted for publication in the conference proceedings. The symposium featured the following presentations:

  1. Efficient Blind Equalizer Schemes Using Variable Tap-length Algorithm - Presented by Salem Alsaid and myself, this paper explores advanced equalization techniques to enhance communication systems.
  2. Neural Networks Stock Market Price Forecasting Model - Co-authored with Lakshmi Sankuru and Abdul Qadoos, this study integrates economic indicators and technical analysis for improved financial forecasting; this has been presented by Lakshmi Sankuru.
  3. AI-GeoInfo Crop Recommendation Framework - Developed with Manasa Yegamati, this framework employs decision tree classifiers and GeoAPI to optimize agricultural recommendations; this has been presented by Manasa Yegamati.
  4. AI Investment Advisory - In collaboration with Abdul Qadoos, Julie Wall, and MhD Saeed Sharif, this research examines the adoption of robo-advisors based on financial literacy and investment experience. This is presented by Abdul Qadoos.

Symposium participants engaged in dynamic discussions, sharing experiences and outcomes through networking and social media platforms like LinkedIn. The event successfully fostered collaboration and innovation in smart robotic systems.

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Access to Symposium:CONF-MSS 2025 Symposium -- London - YouTube

Symposium Info:

Symposium Title:

AI and IoT for Next-Generation Smart Robotic Systems: Innovations, Challenges, and Opportunities (AISRS 2025)

Date:

December 9th, 2024 (GMT)

Venue:

University of East London, Docklands Campus University Way London, E16 2RD United Kingdom.

Attend in person

If you want to attend the symposium on-site, please email sympo_london@confmss.org. The symposium seats are limited. Both contributors and non-contributors who wish to participate in the symposium in person need to apply to the symposium organizers.

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