Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare
We get inspired by nature to save lives! We mimic the strategies adopted by coatis while hunting iguanas and their behavior when confronting and fleeing from predators! I am happy to announce that our research paper, titled "Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare," has been accepted for publication at the prestigious 2nd IEEE International Conference on Emerging Trends in Electrical, Control and Telecommunication Engin
Kick-off meeting of Beyond the Classroom: Virtual Reality, Augmented Reality, and Haptics for Enhanced Surgical Training and Education (ImmersiveSurgicalEdu)
The journey begins for the "Beyond the Classroom: Virtual Reality, Augmented Reality, and Haptics for Enhanced Surgical Training and Education" project, ImmersiveSurgicalEdu! I am happy to announce the successful kick-off meeting of our groundbreaking research initiative, ImmersiveSurgicalEdu. Our mission is to revolutionize surgical training and education through the integration of virtual reality (VR), augmented reality (AR), and haptic technology, creating a truly immersive hands-on laborat
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
I am thrilled to share with you our recently published article: Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo, Malik Naveed Akhter, and Shahzaib Farooq Hadi. Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-based Deep Learning Model. IEEE Access (2023). Abstract: Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity
Step Towards Secure and Reliable Smart Grids in Industry 5.0: A Federated Learning assisted Hybrid Deep Learning Model for Electricity Theft Detection using Smart Meters
Step Towards Secure and Reliable Smart Grids in Industry 5.0: A Federated Learning assisted Hybrid Deep Learning Model for Electricity Theft Detection using Smart Meters.I am very excited to share our newly published article authored by: Muhammad Hamza Zafar, Syed Muhammad Salman Bukhari, Mohamad Abou Houran, Syed Kumayl Raza Moosavi, Majad Mansoor, Nedaa Al-Tawalbeh, and Filippo SanfilippoAbstractThe integration of Smart Grid technology and conceptual Industry 5.0 has paved the way fo
A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models
I'm happy to share our recent paper: Hassan Mohyuddin, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar and Filippo Sanfilippo. A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models. Array, 2023. ???? Access the paper here: Read It Now ???? Key Insights: We harnessed data from a Leap Motion Controller (LMC) and a unique Spotted Hyena-based Chimp Optimization Algorithm (SSC) to select crucial features and train deep neural networ
Nomination for the prestigious "Machines 2022 Best Paper Award"
Big News! I am thrilled to share some fantastic news with all of you! Our research article, "Teaching Motion Control in Mechatronics Education Using an Open Framework Based on the Elevator Model," authored by Filippo Sanfilippo, Martin Økter, Tine Eie, and Morten Ottestad, and published in Machines 10(10) in 2022, has been nominated for the prestigious "Machines 2022 Best Paper Award" Filippo Sanfilippo, Martin Økter, Tine Eie and Morten Ottestad. Teaching Motion Control in Mechat
Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles
Exciting News! Our novel research on Li-ion battery technology in electric vehicles (EVs) has been accepted for publication in the renowned journal of Energy, with an impact factor of 9.0. Level 2 Journal: Our work has been acknowledged as a Level 2 journal publication according to the Norwegian Scientific Index. This distinction further reinforces the academic value and impact of our study. Battery Coast Strategy: This paper holds immense relevance to the Battery Coast Strategy at the Univers
AI- and Robotics-enabled Systems, a Forward Leap Into Real Life Applications
I had the privilege of being the International Guest Speaker at the School of Computing Technologies on Tuesday, 13 June 2023. It was an honour to present a seminar as a fellow OpenInnoTrain Secondee. I would like to express my gratitude to Professor Fabio Zambetta, the Associate Dean of Artificial Intelligence in the School of Computing Technologies, for the warm welcome and introduction. I also would like to thank the entire RMIT team that welcomed me. The event provided a fantastic platform
 Algorithm for Engineering Design Problems-323_L.png "Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems")
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems
Exciting News! I am thrilled to announce the publication of our paper titled "Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems" in the Proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing (ICAISC 2023) held in Zakopane, Poland. I am grateful to all my co-authors for their incredible contributions! Syed Kumayl Raza Moosavi presented the paper at the conference and received very good and constructive feedback!
Project funded: Beyond the Classroom: Virtual Reality, Augmented Reality, and Haptics for Enhanced Surgical Training and Education (ImmersiveSurgicalEdu)
Exciting News! I am thrilled to share that our groundbreaking research project, "Beyond the Classroom: Virtual Reality, Augmented Reality, and Haptics for Enhanced Surgical Training and Education" (ImmersiveSurgicalEdu), has been funded. Our goal is to combine the capabilities of virtual and augmented reality (VR, AR) technologies with low-cost wearable haptic devices to create a hapto-audio-visual hands-on laboratory environment. Under the Erasmus+ Cooperation Partnerships in Higher Educatio
Robotics in Search and Rescue (SAR) Operations: An Ethical and Design Perspective Framework for Response Phase
Exciting news! Our team has just published a new article titled "Robotics in Search and Rescue (SAR) Operations: An Ethical and Design Perspective Framework for Response Phase" in the journal of Applied Sciences. I am grateful to all my co-authors for their incredible contributions! Hareesh Chitikena, Filippo Sanfilippo, and Shugen Ma. 2023. "Robotics in Search and Rescue (SAR) Operations: An Ethical and Design Perspective Framework for Response Phase" Applied Sciences 13, n
Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
Exciting news! Our team has just published a new article titled "Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems" in the journal of Applied Sciences. I am grateful to all my co-authors for their incredible contributions! Khan, Muhammad Kamran, Muhammad Hamza Zafar, Saad Rashid, Majad Mansoor, Syed Kumayl Raza Moosavi, and Filippo Sanfilippo. "Improved Reptile Search Optimization Algorithm: Application on Regression a
Supervised Theses
| Spring 2015 | |
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| Interfacing an EEG Headset with a 3D Simulation Environment for Rehabilitation in Partially Paraplegic,Stroke Victims. Student: Tom Verplaetse; BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Robin Trulssen Bye, Filippo Sanfilippo. |
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| On the Usage of Single-Electrode EEG Devices for Biometric-Based Person Identification. Students: Guilherme Felipe Bosger, Rodrigo Bessa Juliao, Hugo de Almeida Ribeiro; BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo, Siebe van Albada. |
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| Active Heave Compensating Crane for Loading/Unloading of Platform Supply Vessels (PSV). Students: Ivan Flatval, Ørjan Gjelseth; BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Company Contact: Dag Sverre Grønmyr, Rolls Royce Marine. Advisors: Siebe van Albada, Filippo Sanfilippo. |
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Supervised Student Projects
Among all the supervised student projects, a selection of them is listed in the following.
| Summer 2015 | |
|---|---|
Grasping and Locomotion for Modular Snake-Like Robots in a Search and Rescue Operations Scenario.Student: Per Myren. Student Summer Job within the BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. |
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| Fall 2014 | |
Wearable Tactile Feedback Integration for Offshore Operations.Students: Bjørn Tomren, Kai Henning Humberset and Rolf-Magnus Hjørungdal; within the course of Mechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. |
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A Wave Simulator Framework for Offshore Crane Operations.Students: Håkon Østrem, Håkon Eikrem and Bjarne Humlen; within the course of Real-time computer programming, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo, Girts Strazdins, Ivar Blindheim and Webjørn Rekdalsbakken. Within the following project: project description. |
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A Camera Guided Laser Shooter for Tracking Moving Objects.Students: Birger Skogeng Pedersen and Webjørn Yksnøy Bergmann; within the course of Real-time computer programming, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo, Girts Strazdins, Ivar Blindheim and Webjørn Rekdalsbakken. Link: project demo. |
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Advanced Control Methods for a Search & Rescue Drone.Students: Rolf Ottar Rovde, Kristian Østgaard and Kim Gjøran Robertsen; within the course of Real-time computer programming, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo, Girts Strazdins, Ivar Blindheim and Webjørn Rekdalsbakken. Link: project demo. |
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An Automated Monitoring System for Detecting Suspicious Subjects in Crowded Areas.Students: Benjamin Selvåg Skinnes, Øyvind Valderhaug Strømsheim and Steffen Sunde; within the course of Real-time computer programming, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo, Girts Strazdins, Ivar Blindheim and Webjørn Rekdalsbakken. Link: project demo. |
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| Summer 2013 | |
Development of an Integrated Virtual-Prototyping Framework for Designing Modular Robotic Hands.Students: Stian Sandviknes, Ole Jonny Varhaugvik and Andreas Bull Enger; Student Summer Job within the BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Within the following project: project description. |
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| Summer 2012 | |
Haptic Feedback Integration for Maritime Crane Control.Student: Lars Ivar Hatledal; Student Summer Job within the BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Within the following project: project description. |
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| Spring 2012 | |
A Modular Grasping Snake Robot.Students: Gøncz Thomas, Frostad Katrine, Hjelme Camilla Hesseberg, Helland Thomas; within the course of Mechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Link: project description. |
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The Demonstrator and Imitator Robots.Students: Ole Martin Longva, Marius Pieroth Skinnes, Christian Steiner Nilsen, Jan Ove Strand; within the course of Mechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Link: project description. |
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A Modular 5-Legged Robot.Students: Håkon Sandanger Lunheim, Kenneth Strandabø, Eskil Fjørtoft Breivik, Jonas Roald Nordstrand in one group and Lars Ivar Hatledal, Ådne Heggem and Økland Higraff Espen in another group; within the course of Mechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Link: project description. |
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A Modular H-Shaped 4-Legged Robot.Students: Roy Perez Folke-Olsen, Kim Andrè Langelo, Christoffer Flesjø Toverød; within the course of Mechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering and Natural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Link: project description. |
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A Modular Robotic Hand with Vision Object Recognition capabilities.Students: Kim Andrè Sund, Kjetil Thorsen, Svein Rune Stangeland, Brita Erica Godfrey; within the course ofMechatronics, robots and deck machines, BSc in Automation Engineering, Department of Engineering andNatural Sciences, AAUC. Advisors: Filippo Sanfilippo and Houxiang Zhang. Link: project description. |
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Funding Projects
The work concerning maritime cranes and robot was partly supported by the Research Council of Norway through the Centres of Excellence funding scheme, project number 223254 and the Innovation Programme for Maritime Activities and Offshore Operations, project number 217768. In this context, a close cooperation is established with different partners including Rolls-Royce Marine AS, Norway, Huse Engineering, and the Offshore Simulation Centre AS.
Support was also received from the Centre for Autonomous Marine Operations and Systems (AMOS), Research Council of Norway, Centres of Excellence funding scheme, project number 223254.
Regarding robotic hands, the work was partially supported by the European Commission with the Collaborative Project no. 248587, “THE Hand Embodied”, within the FP7-ICT- 2009-4-2-1 program “Cognitive Systems and Robotics” and the Collaborative EU-Project “Hands.dvi” in the context of ECHORD (European Clearing House for Open Robotics Development). In this context, a close cooperation was established with the Department of Advanced Robotics at the Istituto Italiano di Tecnologia, Italy, and the Department of Information Engineering at the University of Siena, Italy.
Filippo Sanfilippo