SMART 4.0
SMART 4.0 fellows
Marie Skłodowska-Curie actions (MSCAs) support researchers at all stages of their careers, encourage cooperation between industry and academia, and provide innovative training to enhance employability and career development. Below, please see some further background information on the talented individuals who were awarded fellowships during recent SMART 4.0 open competition calls.
Dr. Iman Abaspur Kazerouni
Project: Imaging System Development For Industrial Autonomous Vehicles (ISD-IAV)
Iman received both his BSc and MSc degrees in Electronic Engineering from the Hakim Sabzevari University, Iran, in 2008 and 2010 respectively. In 2014, he completed a PhD ..
Dr. Iman Abaspur Kazerouni
Iman is a SMART 4.0 Marie Skłodowska-Curie fellow researcher with CONFIRM Centre. He received both his BSc and MSc degrees in Electronic Engineering from the Hakim Sabzevari University, Iran, in 2008 and 2010 respectively. In 2014, he completed a PhD in Hakim Sabzevari University on the topic “Early breast cancer detection using thermal images”. His PhD research focused on the design of a smart system for mass detection in mammography and thermography images.
Later, Iman worked at the Department of Electronics and Computer Engineering (Esfarayen University of Technology) as an assistant professor. In 2019, he joined the Centre for Robotics and Intelligent Systems (CRIS, University of Limerick) as a postdoctoral researcher. His research interests focus on image processing, machine learning, deep learning, and robotic processing systems.
Qualifications:
- PhD in Electronic Engineering, Hakim Sabzevari University, Iran.
- MSc in Electronic Engineering, Hakim Sabzevari University, Iran.
- Eng in Electronic Engineering, Hakim Sabzevari University, Iran.
Professional Memberships and Activities:
- Postdoctoral Research Fellow, CRIS group, University of Limerick, Ireland
- Assistant Professor, Electronic and Computer Science Department, Esfarayen University of Technology, Iran
Expertise:
- Real time robots image processing
- Developing smart robotic technologies
- Medical image processing development
- Underwater robots imaging systems
Research Interests:
- Image processing
- Neural Network
- Deep Learning
- Artificial Intelligence
- Machine Vision
- Smart System Design
Selected Publications:
- I Abaspur Kazerouni, G Dooly, D Toal, Underwater Image Enhancement and Mosaicking System Based on A-KAZE Feature Matching, Journal of Marine Science and Engineering 8 (6), 449, 2020.
- HM Hossein-Abad, M Shabanian, IA Kazerouni, Fuzzy c-means clustering method with the fuzzy distance definition applied on symmetric triangular fuzzy numbers, Journal of Intelligent & Fuzzy Systems 38 (3), 2891-2905, 2020.
- H Ghayoumi Zadeh, A Montazeri, I Abaspur Kazerouni, J Haddadnia, Clustering and screening for breast cancer on thermal images using a combination of SOM and MLP, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 5(1), 68-76, 2017.
- IA Kazerouni, J Haddadnia, A mass classification and image retrieval model for mammograms, The Imaging Science Journal 62 (7), 353-357, 2014.
Dr. Sourabh Bharti
Project: Edge Computing based Predictive Maintenance for Time Critical Applications
Sourabh received his PhD degree in 2018 from Indian Institute of Information Technology and Management, Gwalior, India. His doctoral research focused on ..
Dr. Sourabh Bharti
Sourabh received his PhD degree in 2018 from Indian Institute of Information Technology and Management, Gwalior, India. His doctoral research was focused on maintaining cross-layer quality of service in IoT sensory environment. Since 2018, he had been working with IGDTUW, Delhi as an Assistant Professor. He has published various papers in reputed journals and conferences in this research area.
His research during this fellowship will pertain to the domain of edge computing based predictive maintenance for industrial equipment/machines.
Qualifications:
- PhD (Information Technology)
- MTech (Computer Science & Engineering)
Professional Memberships and Activities:
- Member, IEEE
- Reviewer of IEEE Systems Journal, Springer JAIHC Journal and Wiley IJCS Journal
Expertise:
- Quality of Service provisioning in IoT sensory environment
- Edge Computing
- Machine Learning
Research Interests:
- Edge Computing
- Delay-aware Federated Learning
- Intelligent Sensor Networks
Selected Publications:
- Rahul K. Verma, K. K. Pattanaik, Sourabh Bharti, Divya Saxena, Jiannong Cao, A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks, ACM Transactions on Sensor Networks (TOSN), vol. 16(4), pp 1-28, 2020.
- Sourabh Bharti, K. K. Pattanaik and Paolo Bellavista, Value of Information Based Sensor Ranking for Efficient Sensor Service Allocation in Service Oriented Wireless Sensor Networks, IEEE Transactions on Emerging Topics in Computing, DOI:10.1109/TETC.2019.2891716, 2019.
Dr. Jobish John
Project: Learning assisted scalability solutions for ultra-dense cellular industrial Iot (LASS4CIIT)
Jobish received his Ph.D. in Electrical Engineering from Indian Institute of Technology Bombay, India in 2020. His PhD research was ..
Dr. Jobish John
Jobish John, received his Ph.D. in Electrical Engineering from Indian Institute of Technology Bombay, India in 2020. His Ph.D. research was focused on wireless sensor networks for low-duty cycled sensing applications. He is a co-founder of an Agri-startup called Proximal Soilsens Technologies Pvt. Ltd., which implements wireless solutions for agricultural applications.
Jobish has a B-Tech in Electronics & Communication Engineering from Chengannur College of Engineering (2007). He has also worked with Larsen & Toubro-Embedded Systems, Bharat Sanchar Nigam Ltd. and at the Indian Institute of Information Technology, Kerala, India.
Qualifications:
- PhD in Electrical Engineering, Indian Institute of Technology Bombay, India
- BTech in Electronics & Communication Engineering, College of Engineering Chengannur, Kerala, India
Professional Memberships and Activities:
- Member of IEEE
Expertise:
- Internet of Things/ Wireless sensor networks
- Embedded Systems
- Commercialisation of research activities through start-ups
Research Interests:
- Wireless networks/solutions for Industry 4.0
- Embedded System Design
- Application of Machine Learning in resource constrained devices
Selected Publications:
- John, G. S. Kasbekar, D. K. Sharma, V. Ramulu, M. Shojaei Baghini, “Design and implementation of a Wireless Sensor Network for Agricultural Applications," EAI Transactions on Internet of Things, April 2019.
- John, G. S. Kasbekar, M. Shojaei Baghini, “Maximum Lifetime Convergecast Tree in Wireless SensorNetworks," arXiv preprint arXiv:1910.09793 (2019).
- Jorapur, V. S Palaparthy, S. Sarik, J. John, M. Shojaei Bhagini and G. K. Ananthasuresh, “A Low-Power, Low-Cost Soil-Moisture Sensor Using Dual-Probe Heat-Pulse Technique," Elsevier Sensors & Actuators: A. Physical, September 2015.
Dr. Saeed Alsamhi
Project: ROBOTLEDGER: A Decentralized Ledger System For Multiple Robot Collaborations
Saeed Alsamhi is based at the Software Research Institute at Athlone Institute of Technology, Ireland. He received his PhD and MTech degrees ..
Dr. Saeed Alsamhi
Saeed Alsamhi is based at the Software Research Institute at Athlone Institute of Technology, Ireland. He received his Ph.D. Degree and M. Tech. Degree from Indian Institute of Technology, Varanasi, UP, India in 2013 and 2016, respectively. His Ph.D. and M.Tech. research focused on the quality of service enhancement techniques in high-altitude platform-based communication networks. In 2019, Saeed worked as an assistant professor at Shenzhen Institutes of advanced technology, Chinese Academy of Sciences, Shenzhen, China. His research focused on the optimal and smart wireless network to enhance robotics technologies.
Qualifications:
- D. in Communication Engineering, Indian Institute of Technology, Varanasi, UP, India.
- Tech. in Communication Engineering, Indian Institute of Technology, Varanasi, UP, India.
- Eng in Communication Engineering, IBB University, Ibb, Yemen.
Professional Memberships and Activities:
- Assistant Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
- President International Fellowship Initiative (PIFI), Chinese Academy of Sciences, China
- PostDoc, Tsinghua University, Beijing, China.
- Research assistant, Shri Mata Vaishno Devi University, India
Expertise:
- Quality of services
- Green IoT
- Multi-robot collaboration
- Drone technology
- Multi-user activity recognition
Research Interests:
- Decentralized multi-robot collaboration
- Blockchain technology
- Edge intelligence
- Machine learning
- Digital technologies and COVID-19
Selected Publications:
- H. Alsamhi, Brian Lee. “Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics,” Accepted, IEEE Access. 2020.
- Qimeng Li, Raffaele Gravina, Ye Li, H. Alsamhi, Fangmin Sun, Giancarlo Fortino” Multi-user Activity Recognition: Challenges and Opportunities, “. Information Fusion, 2020
- H. Alsamhi, Ou. Ma, M. Samar Ansari,” Convergence of Machine Learning and Robotics Communication in Collaborative Assembly: Mobility, Connectivity, and Future Perspectives,”. Journal of Intelligent and Robotic Systems, 2019.
- H. Alsamhi, J. Liang, O. Ma, M. S. Ansari, Q. Meng. “Greening Internet of things for Smart Everything with A Green- Environment Life: A Survey and Future Perspectives,”. Telecommunication Systems, 2019.
- H. Alsamhi, O. Ma, M. S. Ansari.” Survey on Collaborative Smart Drones and Internet of Things for improving smartness of Smart Cities,”. IEEE Access, 2019.
- H. Alsamhi, F. Almalki, O. Ma, M. S. Ansari, Brian Lee. “Predictive Estimation of Optimal Signal Strength for Efficient Coexistence of Drones and IoT Frameworks in Smart Cities,” Accepted with major revision, IEEE Transaction on Mobile Computing, 2020
Dr. Ahmad Farhadi
Project: Development of a Digital Twin for High Speed Computer Controlled Drilling
Ahmad received his B.Sc. (2007) and M.Sc. (2010) in mechanical engineering (manufacturing) from Isfahan University of Technology. His deep interest in the manufacturing of aeronautical components lead ..
Dr. Ahmad Farhadi
Ahmad received his B.Sc. (2007) and M.Sc. (2010) in mechanical engineering (manufacturing) from Isfahan University of Technology. His deep interest in aeronautical component manufacture lead him to review “Superalloy machining” as an undergrad and study “Ultrasonic Assisted Creep Feed Grinding of Superalloy Inconel 738LC” in his master’s thesis. After working in an R&D role in industry for five years, he commenced his Ph.D. studies and graduated from Shanghai Jiao Tong University, China in 2020. His dissertation title was “Study on Sweep Blasting Erosion Arc Machining for fabricating open channels in turbomachinery Components” which is a novel technique to enhance machining of specific rotary components in aero-space industry.
Qualifications:
- PhD. in Mechanical Engineering, Shanghai Jiao Tong University, China
- Award: Fully Funded scholarship from China Scholarship Council (CSC-A1)
- Award: Excellent International Post-Graduate Student
- MSc. in Mechanical Engineering, Isfahan University of Technology, Iran
- Grade: Excellent
- BSc. in Mechanical Engineering, Isfahan University of Technology, Iran
Professional Memberships and Activities:
- Member of Society of Manufacturing Engineering of Iran (SMEIR)
- Membership of American Society of Mechanical Engineers (ASME)
Expertise:
- Analytical & Numerical modelling of machining processes
- Mechanical design & Production (CAD/CAM/CAE)
- Advanced & Conventional machining technologies
- Vibration assisted MFG processes.
- Machining of hard to cut materials
- Geometric Dimensioning and Tolerancing (GD&T)
Research Interests:
- Smart Manufacturing & Industry 4.0
- Machine learning, Digital Twin & IoT
- Aerospace components production
- Novel techniques in advanced manufacturing
- Hybrid & Assisted machining technologies
Selected Publications:
- A. Farhadi, L. Gu, W. Zhao, K. Rajurkar, “Tool path optimization based on wear prediction in Electric Arc Sweep Machining”, Journal of Manufacturing Processes, 2020, Vol. 54, pp 328-336
- L. Gu, A. Farhadi, Y. Zhu, G. He, W. Zhao, K. Rajurkar “A novel tool design procedure for arc sweep machining technology”, Journal of Materials and Manufacturing Processes, 2020, Vol. 35, pp 113-121
- A. Farhadi, Y. Zhu, L. Gu, W. Zhao, “Electric Arc Sweep Milling of open channels”, The International Journal of Advanced Manufacturing Technology, 2019, Vol. 102, Issue 1–4, pp 673–683
- Y. Zhu, A. Farhadi, G. He, X. Liu, L. Gu, W. Zhao, “High-efficiency machining of large aspect-ratio rotational parts by rapid contour approaching WEDM”, The International Journal of Advanced Manufacturing Technology, 2018, Vol. 94, Issue 9–12, pp 3577–3590
- A. Abdullah, A. Farhadi, A. Pak, “Ultrasonic-assisted dry creep-feed up-grinding of superalloy Inconel738LC”, Journal of Experimental Mechanics, 2012, Vol. 52, pp 843-853
Dr. Amrita Ghosal
Project: PROACT: Preventive Techniques for Defense Against Cyber Threats in Smart Factory
Amrita received her Ph.D. degree in Computer Science and Engineering from Indian Institute of Engineering Science and Technology, India in 2015. After her PhD, she was Assistant Professor in ..
Dr. Amrita Ghosal
Amrita Ghosal is a SMART 4.0 Marie Skłodowska-Curie fellow in the CONFIRM Centre at the University of Limerick, Ireland. She received her Ph.D. degree in Computer Science and Engineering from Indian Institute of Engineering Science and Technology, India in 2015. After her PhD, she was Assistant Professor in the Department of Computer Science and Engineering, Dr. B. C. Roy Engineering College, India from 2015-2017. She worked as a Postdoctoral fellow in the Security and PRIvacy Through Zeal (SPRITZ) research group in the Department of Mathematics at the University of Padua, Italy from 2017-2021. Her research interests are in the areas of security and privacy for mobile and wireless networks. Particularly, she is interested in detection, prevention and mitigation of different DoS style attacks for smart grid, v2x, connected vehicle, cyber-physical systems, and IoT. In these areas, she has published more than 35 papers in high quality journals and refereed conference proceedings. She also has co-authored a number of book chapters.
Qualifications:
- Ph.D. in Computer Science and Technology from Indian Institute of Engineering Science and Technology, Shibpur, India
- M.Tech. in Computer Science and Engineering from Kalyani Government Engineering College, India
- B.Eng. in Electronics and Communication Engineering from Asansol Engineering College, University of Burdwan, India
Professional Memberships and Activities:
- Life Member, Cryptographic Research Society of India (CRSI), India
- Conference/Session Organized:
- Session on Security Protection Mechanisms in Wireless Sensor Networks in conjunction with Global Wireless Summit (GWS), New Jersey, USA, 2013.
- Security Protection Mechanisms in Wireless Sensor Networks in conjunction with 2nd IEEE International Conference on Wireless VITAE, Chennai, India, 2011.
- Technical Program Committee Member: IEEE ICOIN 2018-20, AIoTS 2020 (in conjunction with ACNS 2020)
- Publicity Chair: DASC-2012, PiCom-2012, EmbeddedCom-2012, 2014
- Reviewer for Journals (Selected List): IEEE TIFS, IEEE TDSC, IEEE TNSM, IEEE TITS, COMNET, COMCOM
Expertise:
- Network Security
- Intrusion Detection
- Secure Over the Air Software Update
Research Interests:
- Security Solutions for Smart Grid, Connected Vehicle and Cyber-Physical Systems
- Digital Forensics
Selected Publications:
- A. Ghosal, S. U. Sagong, S. Halder, K. Sahabandu, M. Conti, R. Poovendran, L. Bushnell, "Truck Platoon Security: State-of-the-Art and Road Ahead," In Computer Networks, Elsevier, 185, pp. 1-20, article no. 107658, 2021.
- S. Halder, A. Ghosal, M. Conti, "Secure Over-The-Air Software Updates in Connected Vehicles: A Survey," In Computer Networks, Elsevier, 178, pp. 1-19, article no. 107343, 2020.
- A. Ghosal, M. Conti, "Security Issues and Challenges in V2X: A Survey," In Computer Networks, Elsevier, 169, pp. 1-20, article no. 107093, 2020.
- A. Ghosal, S. Halder, M. Conti, "STRIDE: Scalable and Secure Over-The-Air Software Update Scheme for Autonomous Vehicles," Proc. of 54th IEEE International Conference on Communications (IEEE ICC), pp. 1-6, Dublin, Ireland, Jun 2020.
- A. Ghosal, M. Conti, "Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey," In IEEE Communications Surveys and Tutorials, 21(3), pp. 2831-2848, 2019.
Dr. Subir Halder
Project: ASSURANCE: Cyber Attack Resilient Data Security Solutions for Smart Manufacturing Ecosystem
Subir Halder received his PhD degree in Computer Science and Engineering from Indian Institute of Engineering Science and Technology, India in 2015. Prior to that, he was Postdoctoral fellow in the Security and PRIvacy Through Zeal (SPRITZ) research ..
Dr. Subir Halder
Subir Halder received his PhD degree in Computer Science and Engineering from Indian Institute of Engineering Science and Technology, India in 2015. He is currently a SMART 4.0 Marie Skłodowska-Curie fellow in the CONFIRM Centre at the University of Limerick, Ireland. Prior to that, he was Postdoctoral fellow in the Security and PRIvacy Through Zeal (SPRITZ) research group in the Department of Mathematics at the University of Padua, Italy. His research interest is in security and privacy for wireless resource-constrained networks. In particular, he is interested in designing security and privacy solutions for smart environments, cloud computing, cyber-physical systems and IoTs, and autonomous vehicles. He has published several research articles in high quality journals and refereed conference proceedings in his fields.
Qualifications:
- PhD. in Computer Science and Technology from Indian Institute of Engineering Science and Technology, Shibpur, India
- M.Tech. in Computer Science and Engineering from Kalyani Government Engineering College, India
- B.Tech. in Electronics and Communication Engineering from Kalyani Government Engineering College, India
Professional Memberships and Activities:
- Conference/Session Organized:
- Session on Security Protection Mechanisms in Wireless Sensor Networks in conjunction with Global Wireless Summit (GWS), New Jersey, USA, 2013.
- IEEE National Conference on Computing and Communication Systems, Durgapur, India, 2012.
- Technical Program Committee member: DependSys, 2017-20, AIoTS 2020 (Co-located with ACNS 2020)
- Reviewer for Journals (Selected List): IEEE TPDS, IEEE TIFS, IEEE/ACM TON, ACM TOSN, IEEE TNSM, JNCA, ACM TCPS, IEEE TITS
Expertise:
- Secure Sharing
- Homomorphic Encryption
- Access Control
- Network Modelling
Research Interests:
- Network Security
- Security Solutions for IoT, Autonomous Vehicle and Cloud
- Homomorphic Encryption for Low-Power Smart Devices
- Energy Efficient Network Protocols and Algorithm Design
Selected Publications:
- S. Halder, M. Conti, "CrypSH: A Novel IoT Data Protection Scheme Based on BGN Cryptosystem," In IEEE Transactions on Cloud Computing, in press, 2021.
- A. Ghosal, S. U. Sagong, S. Halder, K. Sahabandu, M. Conti, R. Poovendran, L. Bushnell, "Truck Platoon Security: State-of-the-Art and Road Ahead," In Computer Networks, Elsevier, 185, pp. 1-20, article no. 107658, 2021.
- S. Halder, A. Ghosal, M. Conti, "Secure Over-The-Air Software Updates in Connected Vehicles: A Survey," In Computer Networks, Elsevier, 178, pp. 1-19, article no. 107343, 2020.
- A. Ghosal, S. Halder, M. Conti, "STRIDE: Scalable and Secure Over-The-Air Software Update Scheme for Autonomous Vehicles," Proc. of 54th IEEE International Conference on Communications (IEEE ICC), pp. 1-6, Dublin, Ireland, Jun 2020.
- S. Halder, M. Conti, S. K. Das, "COIDS: A Clock Offset Based Intrusion Detection System for Controller Area Networks," Proc. of 21st ACM International Conference on Distributed Computing and Networking (ACM ICDCN), pp. 1-10, Jan 2020.
Dr. Radhya Sahal
Project: A Ledger-based Collaborative Digital Twins System for Smart Distributed Manufacturing
Radhya received her M.Sc. (2013) and Ph.D. (2018) degrees form the Faculty of Computers and Artificial Intelligence, Cairo University, Eqypt. She ehld a postdoctoral position with ..
Dr. Radhya Sahal
Dr. Sahal received her M.Sc and Ph.D. in computer science in 2013 and 2018 from the Faculty of Computers and Artificial Intelligence, Cairo University, Egypt, respectively. She held a postdoctoral position with Confirm SFI Research Centre for Smart Manufacturing, National University of Ireland Galway, Galway, Ireland, in IoT Data Analytics for Smart Manufacturing. Radhya has publications in Big Data, Cloud databases, IoT, Industry 4.0, and Healthcare.
Her research work during SMART 4.0 fellowship will focus on blockchain, digital twins, and predictive analytics in distributed manufacturing.
Qualifications:
- PhD in Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt.
- MSc in Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt.
- MSc in Computer Science, Faculty of Computer Science and Engineering, Hodeidah University, Yemen.
Professional Memberships and Activities:
- Postdoctoral Research Fellow, CONFIRM centre, NUIG, Ireland.
- Adjunct Lecturer, NUIG, Ireland.
- Review Editor for Frontiers in ICT and Frontiers.
- Review Editor for Frontiers in in Computer Science.
- Reviewer for international journals like Big Data Research, Future Generation Computer Systems, and Knowledge-Based Systems.
Expertise:
- Internet of Things
- Stream Processing /Real-time processing
- Big Data Analysis
- Distributed systems
Research Interests:
- Blockchain
- Digital Twins
- Industry 4.0
- Internet of Things
- Machine Learning
Selected Publications:
- Radhya Sahal, S. H. Alsamhi John G. Breslin, and Muhammad Intizar Ali
"Digital twins collaboration for automatic erratic operational data detection in
industry 4.0", 2021, Applied Sciences, Link - Radhya Sahal, H. Alsamhi John G. Breslin, and Muhammad Intizar Ali
"Industry 4.0 towards Forestry 4.0: Fire Detection Use Case", 2021, Sensors
Link - Radhya Sahal, John G. Breslin, and Muhammad Intizar Ali "Big Data and Stream Processing Platforms for Industry 4.0 Requirements mapping for predictive maintenance use case", 2020 ,Journal of Manufacturing Systems, Link
- Radhya Sahal, Mohamed H. Khafagy, and Fatma A.Omara, "SOOM: Sort-based Optimizer for Big Data Multi-Query", Big Data, 2020, Link
- Radhya Sahal, John G. Breslin and Muhammad Intizar Ali "On Evaluating
the Impact of IoT Data Stream Rate Changes on Query Window Configuration",
Germany, 2019, DEBS, Link - Radhya Sahal, Mohamed H. Khafagy, and Fatma A.Omara, "Exploiting
Coarse-grained Reused-based Opportunities in Big Data Multi-Query Optimization", 2018, Journal of Computational Science, Link - Radhya Sahal, Marwah Nehid, Mohamed H. Khafagy, and Fatma A.Omara, "iHOME: Index based JOIN Query Optimization for Limited Big Data Storage", 2018, Journal of Grid Computing, Link
Dr. Rupal Srivastava
Project: Shape Memory wire based cobotic hand EXOskeleton for robot gripper actuation (SM-EXO)
Rupal completed her PhD at the Indian Institute of Technology Kanpur, India. Her doctoral thesis is entitled ‘Thermoelastic and Vibration response analysis of Shape Memory Alloy (SMA) reinforced bimorph composites’ where she worked on honeycomb and auxetic cores to understand the Gaussian curvatures and the bimorph bending behaviors of ..
Dr. Rupal Srivastava
I belong from a small town, Ayodhya in Uttar Pradesh, India known for its diverse cultural and a deep political history. I have completed my PhD from the Indian Institute of Technology Kanpur, India and my doctoral thesis is titled- Thermoelastic and Vibration response analysis of Shape Memory Alloy (SMA) reinforced bimorph composites, where I have worked on honeycomb and auxetic cores to understand the Gaussian curvatures and the bimorph bending behaviors of the composites on thermal actuation of embedded SMA. Previously, in my Master’s degree from Birla Institute of Technology Mesra, I worked on the transverse bending and vibration response of Timoshenko Beams. For my Smart 4.0 fellowship, I have proposed an SMA based hand exoskeleton for cobotic applications wherein we derive sensing output from the Superelastic property of SMA.
Apart from research, I have also been actively involved in outreach activities promoting science and technology for young children and hygiene-based awareness programmes for women from rural areas. I aspire to continue working in a similar direction in Ireland as well, specially promoting Women in STEM by outreach activities in high schools.
In my free time I go on a cycling trip, read a book, or play the ukulele.
Qualifications:
- PhD (Defense pending- 18th June)
- Masters in Engineering
Professional Memberships and Activities:
- International Journal of Systems Science (IJSS)- Reviewer
- NPTEL Teaching Assistant (2018-2021)
- ASME student member (2018-2020)
- Session Chair, Research Scholar Day, IIT Kanpur (2018)
- Senior Student Research Associate- SAC- ISRO (2017-2018)
- Sakura Research Fellow (2016)
Expertise:
- Shape Memory Alloys
- Finite Element Analysis
- Composite Fabrication and Analysis
- Additive Manufacturing
Research Interests:
- Embedded Shape Memory Alloys
- Exoskeletons and Cobotics
- Origami based deployment applications
Selected Publications:
- Rupal Srivastava, Bishakh Bhattacharya, Thermoelastic and Vibration Response Analysis of Shape Memory Alloy-reinforced Active Bimorph Composites, Smart Materials and Structures, DOI: https://doi.org/10.1088/1361-665X/abc56d, 2020
- Rupal Srivastava, Ranjeet Kumar, Bishakh Bhattacharya, Vibration response studies of a bi-morph SMA hybrid composite using 3D Laser Doppler Vibrometer, Smart Materials, Adaptive Structures, and Intelligent Systems, ASME, DOI: https://doi.org/10.1115/SMASIS2020-2231, 2020
- Rupal Srivastava, Bishakh Bhattacharya, Thermoelastic Response Analysis of a Shape Memory Alloy embedded Active Hybrid Bimorph Composite, ICOVP, Springer Nature Singapore Pte Ltd., DOI: 1007/978-981-15-8049-9, 2019
- Rupal Srivastava, Arun Kumar Sharma, Arup Kumar Hait, Bishakh Bhattacharya, Design and Development of an Active Bimorph Structure for Deployable Space Application, SPIE 10595, Active and Passive Smart Structures and Integrated Systems XII, 105953E, DOI: 1117/12.2296547, 2018
- Rupal Srivastava, Bishakh Bhattacharya, De-coupling Eigenmodes of SMA-reinforced Composites using Multi-Objective Optimization, [Submitted] 2021
Dr. Vladimir Kuts
Project: Understanding Human Robotic Interaction via eXtended Reality interfaces for Industry 5.0
Vladimir is a digital twins and industrial robotics researcher working on intelligent sensors integration and online re-programming of robots from the simulations. In addition, he was a founder and Head of the Industrial Virtual and Augmented reality laboratory of TalTech since 2017. He is integrating two research fields ..
Dr. Vladimir Kuts
Dr. Vladimir Kuts is a digital twins and industrial robotics researcher working on intelligent sensors integration and online re-programming of robots from the simulations. In addition, he is a founder and Head of the Industrial Virtual and Augmented reality laboratory of TalTech since 2017. He is integrating two research fields - robotics and VR and AR into one concept and creating a framework for connecting actual robotic cells and their digital interpretation. Right now, his focus is more on the human aspect in the immersive experiences within the primary use-case of collaboration with robots. He has experience in the industry working for Danfoss Power Solutions and local Estonian companies for almost ten years. He has competencies in pneumatics, hydraulics, automatization, industrial robotics, 3D design, VR, and AR from the research and teaching perspectives.
Besides research and teaching background, he has project management, managerial, and administrative experience. In addition, he has been actively involved in student and university activities and for several years has been part of Tallinn University of Technology student council (three periods), School of Engineering council (2.5 years), and University council (three periods).
Qualifications:
- Mechatronics, BSc, Tallinn University of Technology (TalTech)
- Mechanical Engineering. MSc, Tallinn University of Technology (TalTech)
- Mechanical Engineering, PhD, Tallinn University of Technology (TalTech)
Professional Memberships and Activities:
- ASME (Session chair for ASME IMECE Digital Twins track)
- IEEE (Vice-Chair of IEEE Estonia)
- IFAC
- Reviewer in various journals and conference proceedings
Expertise:
- Digital Twins
- Immersive technologies (VR, AR)
- Industrial Robotics
Research Interests:
- Human-Robot Interactions
- Immersive technologies (VR, AR)
- Industrial Robotics
Selected Publications:
- Kuts, V., Otto, T., Tähemaa, T., Bondarenko, Y. “Digital twin based synchronised control and simulation of the industrial robotic cell using virtual reality” (2019) Journal of Machine Engineering, 19 (1), pp. 128-144.
- Kuts V., Modoni G.E., Terkaj W., Tähemaa T., Sacco M., Otto T. (2017) Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell. In: De Paolis L., Bourdot P., Mongelli A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science, vol 10324. Springer, Cham.
- Guerra-Zubiaga, D., Kuts, V., Mahmood, K., Bondar, A., Nasajpour-Esfahani, N., Otto, T. “An approach to develop a digital twin for industry 4.0 systems: manufacturing automation case studies” (2021) International Journal of Computer Integrated Manufacturing,
- Kuts, V, Sarkans, M, Otto, T, Tähemaa, T, & Bondarenko, Y. "Digital Twin: Concept of Hybrid Programming for Industrial Robots — Use Case." Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition. Volume 2B: Advanced Manufacturing. Salt Lake City, Utah, USA. November 11–14, 2019. V02BT02A005. ASME.
Dr. Denis Ganin
Project: Smart Industrial Metrology
Denis is a researcher in the III-V & Devices Group of the Photonics Centre in the Tyndall National Institute. He describes himself as a physicist / engineer / researcher / dreamer. Enthusiastic about technical innovations and scientific discoveries. Eager to develop new technologies and improve existing ones, to expand ..
Dr. Denis Ganin
Dr. Denis Ganin is a researcher in the III-V & Devices Group of the Photonics Centre in the Tyndall National Institute. He describes himself as a physicist / engineer / researcher / dreamer. Enthusiastic about technical innovations and scientific discoveries. Eager to develop new technologies and improve existing ones, to expand and impart scientific knowledge.
Qualifications:
- PhD in Electrical Engineering / Photonics. Institute of Photonics and Quantum electronics (IPQ), Karlsruhe Institute of Technology (KIT), Germany
- MSc in Physics / Energy and Environment. University of Trento (UniTn), Italy
- BSc in Applied Mathematics and Physics / Computational Physics. Saint Petersburg State University (SPbU), Russia
Professional Memberships and Activities:
- Optical Society of America (Optica, formerly OSA)
- Polymer Processing Society (PPS)
- American Association for the Advancement of Science (AAAS)
Expertise:
- Optics and Photonics; Optical Metrology; Optical Coherence Tomography, LiDAR
- Digital Signal Processing
- Nanomaterials characterisation and processing
Research Interests:
- Sensors
- Product and Process Control
- Materials Processing
Selected Publications:
- P. Trocha, M. Karpov, D. Ganin, M. H. P. Pfeiffer, A. Kordts, S. Wolf, J. Krockenberger, P. Marin-Palomo, C. Weimann, S. Randel, W. Freude, T. J. Kippenberg, C. Koos, Ultrafast optical ranging using microresonator soliton frequency combs, Science (2018)
- D. Ganin, P. Trocha, M. Pfeiffer, M. Karpov, A. Kordts, J. Krockenberger, P. Marin-Palomo, S. Wolf, S. Randel, W. Freude, T. J. Kippenberg, C. Koos, Ultrafast Dual-Comb Distance Metrology Using Dissipative Kerr Solitons, Conference on Lasers and Electro-Optics (CLEO), paper STh4L.6 (2017)
Dr. A'Qilah Ahmad Dahalan
Project: A New Pathfinding Technique For Mobile Robot Navigation In A Structured Environment Via Numerical Analysis
A’Qilah received her PhD degree in 2020 from the National Defence University of Malaysia (NDUM), Kuala Lumpur, Malaysia. Her doctoral research was focused on the development of an intelligent robot algorithm involving various iterative methods. Since 2014, she had been working with NDUM as a Senior Lecturer ..
Dr. A'Qilah Ahmad Dahalan
A’Qilah received her PhD degree in 2020 from the National Defence University of Malaysia (NDUM), Kuala Lumpur, Malaysia. Her doctoral research was focused on the development of an intelligent robot algorithm involving various iterative methods. Since 2014, she had been working with NDUM as a Senior Lecturer. She has published various papers in journals, book chapters, and conferences in this research area.
Her research work during SMART 4.0 fellowship will focus on developing a modified accelerated iterative method and implementing a new parallel algorithm for robot pathfinding.
Qualifications:
- Applied Mathematics, PhD, National Defence University of Malaysia
- Mathematics, MSc, University Malaysia Sabah
- Mathematics with Computer Graphics, BSc, University Malaysia Sabah
Professional Memberships and Activities:
- Life member, Malaysian Mathematical Sciences Society (PERSAMA)
- Reviewer in various journals and conference proceedings
Expertise:
- Numerical analysis
- Embedded system
Research Interests:
- Computational mathematics
- Fuzzy partial differential equations
- Robot path planning
Selected Publications:
- Saad N., Dahalan A. A., Saudi A. Modified poisson compositing technique on skewed grid. AIMS Mathematics, 2022, 7(2), 2176–2194.
- Dahalan A. A., Saudi A. Static Indoor Pathfinding with Explicit Group Two-Parameter Over Relaxation Iterative Technique. In: Badioze Zaman H. et al. (eds) Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science, vol 13051. Springer, Cham.
- Dahalan A. A., Sulaiman J. Numerical solution for fuzzy diffusion problem via two parameter alternating group explicit technique. Mathematics and Statistics, 2021, 9(2), 98-105.
- Ling W. K., Dahalan A. A., Saudi A. Autonomous path planning through application of rotated two parameter overrelaxation 9-point Laplacian iteration technique. Indonesian Journal of Electrical Engineering and Computer Science, 2020, 22(2), 508–515.
- Dahalan A. A., Muthuvalu M.S., Sulaiman J. Numerical solutions of two-point fuzzy boundary value problem using Half-Sweep Alternating Group Explicit method. AIP Conf. Proc. 1557(103), 2013, 103-107.
Dr. Alexandre Oliveira
Project: OPTSIMFLEX: Optimization-Simulation Modelling of Flexible Manufacturing Systems
Alexandre received his Ph.D. degree in 2004 from the Brazilian Institute of Space Research. He is an experienced researcher in matters related to Operations Research and Machine Learning, including topics such as metaheuristics and meta-learning applied to ..
Dr. Alexandre Oliveira
Alexandre received his Ph.D. degree in 2004 from the Brazilian Institute of Space Research. He is an experienced researcher in matters related to Operations Research and Machine Learning, including topics such as metaheuristics and meta-learning applied to systems optimization.
Qualifications:
- Bachelor's degree in Computer Science, UFMA, Brazil.
- Master's degree in Electrical Engineering, UFMA, Brazil.
- PhD’s degree in Applied Computing, INPE, Brazil.
Professional Memberships and Activities:
- Associate Professor, Department of Informatics, UFMA, Brazil.
- Visiting Senior Lecturer, School of Computing, University of Kent, United Kingdom.
- Professor, Department of Informatics, UFMA, Brazil.
Expertise:
- Linear, Integer and Non-linear Optimisation
- Hybrid Optimisation Metaheuristics
- Algorithm Complexity
- Parallel Algorithms
Research Interests:
- Flexible Manufacturing Systems
- Optimisation-Simulation Closed Loop Systems
Selected Publications:
- PINHEIRO, Eggo ; MIRANDA, Enrico ; CLIMACO, F. G. N. ; OLIVEIRA, A. C. M. . A Clustering Search approach for the Train Timetabling Problem. International Journal of Logistics Systems and Management, 2022.
- FEITOSA-NETO, ANTONINO A. ; XAVIER-JÚNIOR, JOÃO C. ; CANUTO, ANNE M. P. ; OLIVEIRA, ALEXANDRE C. M. . A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results. Natural Computing, v. 2020, p. 1-15, 2020
- MENEZES, MATHEUS C. ; MUNOZ, MAURO E. S. ; FREITAS, EDISON P. ; CHENG, SEN ; WALTHER, THOMAS ; NETO, AREOLINO A. ; Ribeiro, Paulo R. A. ; OLIVEIRA, ALEXANDRE C. M. Automatic Tuning of RatSLAM’s Parameters by Irace and Iterative Closest Point. In: IECON 2020 .
- MIRANDA, ENRICO S. ; FABRIS, FABIO ; NASCIMENTO, CHRYSTIAN G. M. ; FREITAS, ALEX A. ; OLIVEIRA, ALEXANDRE C. M. . Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem. In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018, Sao Paulo. 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018.
- OLIVEIRA, A. C. M.; CHAVES, A. A. ; LORENA, L. A. N. . Clustering Search. Pesquisa Operacional (Impresso), v. 33, p. 1-17, 2013.
- Barros, Victor Hugo ; Costa, Tarcísio Souza ; Oliveira, Alexandre C.M. ; Lorena, Luiz A.N. . Model and heuristic for berth allocation in tidal bulk ports with stock level constraints. Computers & Industrial Engineering, v. 60, p. 606-613, 2011.
Dr. Gholamhosein Moloudian
Project: Data Collection and Analysis in Smart Manufacturing Maintenance System By Utilizing RFID and Sensors
Gholamhosein is a Researcher in the Micro & Nano Systems Centre, Wireless Sensor Network Group, Tyndall National Institute, Ireland. He received the associate’s degree in Electronics from Technical and Vocational University of Yasouj (First-Class Hons), the B.Sc. degree in ..
Dr. Alexandre Oliveira
Gholamhosein is a Researcher in the Micro & Nano Systems Centre, Wireless Sensor Network Group, Tyndall National Institute, Ireland. He received the associate’s degree in Electronics from Technical and Vocational University of Yasouj (First-Class Hons), the B.Sc. degree in Electronic Engineering from Higher Education Center of Shiraz, the M.Sc. degree in Electronic Engineering from Islamic Azad University (IAU) of Bushehr (First-Class Hons), and the Ph.D. degree in Electronic Engineering from IAU, Arak Branch, Iran, all in Electrical Engineering with highest honours, in 2008, 2010, 2012 and 2018, respectively. He worked with the department of Electrical Engineering at Salman Farsi University of kazerun and IAU Kazerun Branch as a researcher and lecturer from Jan. 2016 to Sep. 2020. His research interests include design and analysis of RF/Microwave circuits, RFID, Smart Sensors, Microstrip Antennas, Photonic Devices, MEMS, Smart Industry 4.0 and Biomedical Sensors and Antennas.
Qualifications:
- PhD in Electronic Engineering, IAU Arak Branch, Iran.
- MSc in Electronic Engineering, IAU Bushehr Branch, Iran. (First Class Hon.)
- BSc in Electronic Engineering, Higher Education Center of Shiraz, Iran.
- Associate’s degree in Electronics, Technical and Vocational University of Yasouj, Iran. (First-Class Hon.)
Professional Memberships and Activities:
- Researcher and Lecturer at some Universities, Iran
- International journals and conferences, Guest Reviewer
- Supervisor and jury board of dissertations for MSc. Students, (IAU) Universities, Iran.
Expertise:
- Design and Fabrication RF Electronic Devices
- RFID Sensors Technology
- Implantable Antennas and Sensors for Biomedical Applications
- Design and Fabrication High Frequency Electronic Devices for Wireless Application (Antenna-Sensors, Filters, Diplexers, Power Dividers and etc.)
Research Interests:
- Sensors (Microstrip and Photonic)
- Antennas and RFID Technology
- Smart Industry 4.0
- RF/Microwave Devices
Selected Publications:
- Moloudouian, S. Bahrami, and Raheel M. Hashmi. “A microstrip lowpass filter with wide tuning range and sharp roll-off response”, IEEE Transactions on circuits and Systems-II, 67(12), pp. 2953-2957, 2020.
- Bahrami, G. Moloudouian, S. R. Miri-rostami and T. Björninen, “Compact Microstrip Antennas With Enhanced Bandwidth for the Implanted and External Subsystems of a Wireless Retinal Prosthesi”, IEEE Transactions on Antennas and Propagation, 69(5), pp. 2969-2974, 2021.
- Moloudian, S. R. Miri-rostami and T. Björninen, “Modified Wilkinson power divider with harmonics suppression and compact size for GSM applications,” (Wiley) International Journal of RF and Microwave Computer‐Aided Engineering, 30(7), pp. e22209, 2020.
- Moloudouian and S. Bahrami. “Design and fabrication of a continuous tunable microstrip lowpass filter with Wide Stopband and sharp response” (Wiley) International Journal of RF and Microwave Computer‐Aided Engineering, 29(8), pp. e21759, 2019.
XXXXXXXXX
SMART 4.0 Marie Skłodowska-Curie fellow Robotics & Control
xxxxxxxxxxxxxx
Iman Abaspur Kazerouni
Job Title, Role at CONFIRM, Competency:
- SMART 4.0 Marie Skłodowska-Curie fellow
- Robotics & Control
About Me:
Iman is a SMART 4.0 Marie Skłodowska-Curie fellow researcher with CONFIRM. He received both his BSc and MSc degrees in Electronic Engineering from the Hakim Sabzevari University, Iran, in 2008 and 2010 respectively. In 2014 he completed a PhD in Hakim Sabzevari University on the topic “Early breast cancer detection using thermal images”. His PhD research focused on the design of a smart system for mass detection in mammography and thermography images. He worked at the Department of Electronics and Computer Engineering (Esfarayen University of Technology) as an assistant professor since 2015. He joined the Centre for Robotics and Intelligent Systems (CRIS-University of Limerick) in 2019 as a postdoc researcher. His research interests focus on image processing, machine learning, deep learning, and robotic processing systems.
Qualifications:
- PhD in Electronic Engineering, Hakim Sabzevari University, Iran.
- MSc in Electronic Engineering, Hakim Sabzevari University, Iran.
- Eng in Electronic Engineering, Hakim Sabzevari University, Iran.
Professional Memberships and Activities:
- Postdoctoral Research Fellow, CRIS group, University of Limerick, Ireland
- Assistant Professor, Electronic and Computer Science Department, Esfarayen University of Technology, Iran
Expertise:
- Real time robots image processing
- Developing smart robotic technologies
- Medical image processing development
- Underwater robots imaging systems
Research Interests:
- Image processing
- Neural Network
- Deep Learning
- Artificial Intelligence
- Machine Vision
- Smart System Design
Selected Publications:
- I Abaspur Kazerouni, G Dooly, D Toal, Underwater Image Enhancement and Mosaicking System Based on A-KAZE Feature Matching, Journal of Marine Science and Engineering 8 (6), 449, 2020.
- HM Hossein-Abad, M Shabanian, IA Kazerouni, Fuzzy c-means clustering method with the fuzzy distance definition applied on symmetric triangular fuzzy numbers, Journal of Intelligent & Fuzzy Systems 38 (3), 2891-2905, 2020.
- H Ghayoumi Zadeh, A Montazeri, I Abaspur Kazerouni, J Haddadnia, Clustering and screening for breast cancer on thermal images using a combination of SOM and MLP, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 5(1), 68-76, 2017.
- IA Kazerouni, J Haddadnia, A mass classification and image retrieval model for mammograms, The Imaging Science Journal 62 (7), 353-357, 2014.
Contact Details:
- Email Address: abaspur@ul.ie
- Phone Number: +353834442194
XXXXXXXXX
SMART 4.0 Marie Skłodowska-Curie fellow Robotics & Control
xxxxxxxxxxxxxx
Iman Abaspur Kazerouni
Job Title, Role at CONFIRM, Competency:
- SMART 4.0 Marie Skłodowska-Curie fellow
- Robotics & Control
About Me:
Iman is a SMART 4.0 Marie Skłodowska-Curie fellow researcher with CONFIRM. He received both his BSc and MSc degrees in Electronic Engineering from the Hakim Sabzevari University, Iran, in 2008 and 2010 respectively. In 2014 he completed a PhD in Hakim Sabzevari University on the topic “Early breast cancer detection using thermal images”. His PhD research focused on the design of a smart system for mass detection in mammography and thermography images. He worked at the Department of Electronics and Computer Engineering (Esfarayen University of Technology) as an assistant professor since 2015. He joined the Centre for Robotics and Intelligent Systems (CRIS-University of Limerick) in 2019 as a postdoc researcher. His research interests focus on image processing, machine learning, deep learning, and robotic processing systems.
Qualifications:
- PhD in Electronic Engineering, Hakim Sabzevari University, Iran.
- MSc in Electronic Engineering, Hakim Sabzevari University, Iran.
- Eng in Electronic Engineering, Hakim Sabzevari University, Iran.
Professional Memberships and Activities:
- Postdoctoral Research Fellow, CRIS group, University of Limerick, Ireland
- Assistant Professor, Electronic and Computer Science Department, Esfarayen University of Technology, Iran
Expertise:
- Real time robots image processing
- Developing smart robotic technologies
- Medical image processing development
- Underwater robots imaging systems
Research Interests:
- Image processing
- Neural Network
- Deep Learning
- Artificial Intelligence
- Machine Vision
- Smart System Design
Selected Publications:
- I Abaspur Kazerouni, G Dooly, D Toal, Underwater Image Enhancement and Mosaicking System Based on A-KAZE Feature Matching, Journal of Marine Science and Engineering 8 (6), 449, 2020.
- HM Hossein-Abad, M Shabanian, IA Kazerouni, Fuzzy c-means clustering method with the fuzzy distance definition applied on symmetric triangular fuzzy numbers, Journal of Intelligent & Fuzzy Systems 38 (3), 2891-2905, 2020.
- H Ghayoumi Zadeh, A Montazeri, I Abaspur Kazerouni, J Haddadnia, Clustering and screening for breast cancer on thermal images using a combination of SOM and MLP, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 5(1), 68-76, 2017.
- IA Kazerouni, J Haddadnia, A mass classification and image retrieval model for mammograms, The Imaging Science Journal 62 (7), 353-357, 2014.
Contact Details:
- Email Address: abaspur@ul.ie
- Phone Number: +353834442194
