Research Interest: Computational Intelligence, Machine Learning, Intelligent Data Modeling and Analysis, Pattern Recognition, Biomedical Signal Processing, Modeling and Control of Biomedical Systems, Human-Machine Systems, Brain-Machine Interaction and Neuroergonomics.

Seyed Ehsan Razavi (b. Sep 05, 1981) received his BSc in Electrical Engineering (2006), MSc in Control Engineering (2008), PhD in Control Engineering (2014). Now he is Assistant Professor of Electrical Engineering Department in Islamic Azad University, Mashhad Branch, Mashhad, Iran. His current research interests are Control Theory,Biomedical Engineering, Nanoparticles,Image Processing and Hyperthermia.He has authored several book chapters and published more than 22 papers in journals and conferences.

Research Interest: Control Systems, Control of Biological Systems, Biomedical Engineering , Hyperthermia, Large Scale Systems , Nanoparticles.

URL: http://dee.mshdiau.ac.ir/index.php?option=com_content&view=article&id=28&Itemid=264⟪=en

List of Publications: 

 Journal Papers :

[1] S. Ehsan Razavi, Hamed Khodadadi, "Medical Brain Images Segmentation Using a Graph Based Method', BRAIN. Broad Research in Artificial Intelligence and Neuroscience,Vol.10,Issue.2,(2019-In Press). (ISI)

[2] S. Ehsan Razavi, Mohsen Ghodsi, Hamed Khodadadi," Voltage Stability Enhancement Along with Line Congestion Reduction Using UPFC and Wind Farm Allocation and Sizing by Two Different Evolutionary Algorithms",  Lecture Notes in Electrical Engineering,Springer,Vol.480, pp 497-508,(2018).(ISI)

[3] S. Ehsan Razavi, " A Neural Controller for Online Laser Power Adjustment during the Heat Therapy Process in the Presence of Nanoparticles" , Australasian Physical & Engineering Sciences in Medicine – Springer,VOL 17,Issues65 (2017). ( ISI)

 [4] S. Ehsan Razavi ," A Closed Loop Control Approach for Online Laser Power Adjustment during Heat Therapy Process in the Presence of Nanoparticles", Lasers in Engineering, PHILADELPHIA,University, USA,VOL 32- Number 1-3(2016).( ISI)

[5] S. Ehsan Razavi,Mohammad Ali Nekoui ,Mohammad Reza Jahed-Motlagh,"A Novel Approach to Control the  Temperature of Nanoparticles’ Targeted Site", Journal of Computational and Theoretical Nanoscience- American Scientific Publishers ,Vol 12-492-500 (2015). (ISI) 

[6] Alireza Alfi, S.Ehsan Razavi and Amir Hassannia," GA-Based Fuzzy State Feedback Controller applied to a Nonlinear Power System", The Journal of American Science, 2012.(ISI)

[7] Hamed Khodadadi, S. Ehsan Razavi and Hossein Ahmadi-Noubari," A Comparison between Neural Networks and Wavelet Networks in Nonlinear System Identification",

 Research Journal of Applied Sciences, Engineering and Technology,2012.(ISI)

[8] S. Ehsan Razavi, Abdollah Babaei,"New Technique to improve Power System Stabilizer performance by Genetic Algorithm",",The Journal of American Science, 2011. (ISI)

 [9] S. Ehsan Razavi, A. Babaei," Modification of IEEE Model for Metal Oxide Arresters     Against Transient Impulses Using Genetic Algorithms",Australian Journal of Basic and Applied Sciences, 2011.(ISI)

[10] S. Ehsan Razavi, "Shift Register Design Using D-Flip flop with Low Power Consumption and High Speed", International Journal of Science and Advanced Technology, 2011.

[11] S. Ehsan Razavi , Hamed Khodadadi, M.Nasser Moghaddasi," Signal Processing and Pattern Recognition Using Wavelet Transform" International Journal of Science and Advanced Technology, 2011.

[12] Alireza Alfi, Alireza Khosravi, Seyyed Ehsan Razavi," bee algoritm based nolinear optimal control applied to a continuous stirred –tank chemical reactor", Global Journal of Pure & Applied Science and Technology,2011.

 [13] S. Ehsan Razavi, M. Ali Nekoui and Mohammad Ravari "Near optimum control of large scale systems:Synchronous turbo generator system as a case study", International Review of Automatic Control, 2009.

[14] S. Ehsan Razavi, Hooshang Aminelahi" The near-optimum rules for linear time, large scale systems", European Journal of Scientific Research, 2009.

 conference Papers:

[1] S. Ehsan Razavi,"A New Method to Design Aircraft Controller for Improving Longitudinal Maneuvers Capability", 91st International conferences on Engineering and Natural Science (ICENS 2016), ISBN: 978-93-86083-34-0.

[2] Seyed Ehsan Razavi,"Medical image of region using graph-based method", The 2nd International Conference on Science & Engineering, 18 th of March 2016 –Istanbul-Turkey.

[3] S. Ehsan Razavi; Javad Royaei; Mehdi Bahadorzadeh," Design a low current and high speed shift register based on D type flip flop", The Fourth International Conference on e-Technologies and Networks for Development (ICeND2015)-IEEE . 

 [4] S. Ehsan Razavi, Mehdi Bahadorzade & Hossein Bolandpour , “Application of Signal             Processing and Pattern Recognition By Wavelet Transform”, The Third International Conference on Informatics Engineering and Information Science Lods University of  Technology, Poland September 22-24, 2014.

[5] S. E. Razavi, M. R. Jahedmotlagh, A. Shiri and H. Amin Elahi “Near optimum control of large scale systems: Synchronous turbo generator system as a case study”, International University Power Engineering Conference (Upec 2007).

[6] S.Ehsan Razavi,A.Babaei, S.A.Kamali and A. Gholami “Performance Improvement of Power System Stabilizer by Genetic Algorithm for One Machine Infinite Bus System”, International University Power Engineering Conference(Upec 2007).

 Books :

1. S.Ehsan Razavi ,"Linear Control System",  ISBN:978-600-6894-09-6,Mashhad,2013. 

2. S.Ehsan Razavi,Bahram Manoochehri , "Electrical Circuit Analysis", ISBN:978-964-6663-39-7,Tehran,2006. 

20. Honors and Award:

- Rank 1 of an entrance exam of a Ph.D. Electrical Engineering, Islamic Azad University (2009).

- Rank 1 among graduate students of Control Engineering at Islamic Azad University (2008).

- Rank 1 among instructors Islamic Azad University of Mashhad - Electrical Group (2008).

Research Interest: Control and Dynamics; Nano-Robotics; Autonomous Vehicles; Renewable Energy Systems.

Biography: I am Parmod Kumar, qualified Engineer offering 12 years of cross functional experience. I started my career as a Marine Engineer and worked with Mitsui O.S.K. Lines and Chevron Shipping Co. L.L.C. Presently I am working as an Assistant Professor with MWU, Ethiopia, a Data Science Trainer [URL] and volunteering as NPA Diversity Officer. I am at the same time working as a freelance research adviser to M.S. and Ph.D. students. I am further serving as a reviewer for various reputed international conferences and journals. I am passionate to listen and solve challenging problems. In Data Science training course, I teach 'Data Science Introduction and Toolbox', 'Data Extraction, Preparation, and Manipulation' 'Inferential Statistics', 'Principal Of Analytic Graph', 'Predictive Models and Machine Learning Algorithm – Supervised Regression', 'Predictive Models and Machine Learning Algorithm – Supervised Classification', 'Predictive Models and Machine Learning Algorithm – Unsupervised', 'Text Mining, Natural Language Processing, and Social Network Analysis', and 'Capstone Project.'

My academic credentials include Post Graduate Diploma in industrial Automation (PGDIA); Ph.D. - Control Systems and Signal Processing, M.S. - Measurement and Control Engineering, and B.E. - Marine Engineering.

Honesty, integrity, and dedication are my core strengths which have significantly contributed towards my career growth. I look forward to taking up assignments with greater responsibilities and creating the landmark. I am nature and animal lover and enjoy spending time with them. Also, I read books on diverse topics and play basketball, volleyball, and soccer. If you are interested in learning more about my experiences, or prospective collaborations, please contact me at caldmet70@gmail.com and +91-7838779082.

Research Interest: Experimental Design, Biomedical Signal Processing and Analysis, Image Processing and Analysis; Dynamic Modelling and System Identification, Statistical Analysis and Modelling; Mathematical Approximation and Optimization, Biomedical Engineering, Machine Learning; Application of Artificial ntelligence, Fuzzy Logic, Neural Networks, Genetic Algorithm; Classical and Intelligent Control Systems, Mechatronics, Robot Architecture, Sensors and Actuators

Biography: Felipe Jiménez obtained his Master Degree in Industrial Engineering from the Technical University of Madrid (UPM), his Master Degree in Physical Science from the National University of Distance Education of Spain and his PhD in Mechanical Engineering from the UPM in 2001, 2005 and 2006, respectively. Currently, he is Full Professor at the UPM and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. He has been involved in several research projects and has developed engineering studies for relevant national and international firms. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems. He is author of several papers in relevant scientific journals and has participated in several national and international congresses.

Research Interest: Transport engineering, active safety, vehicular dynamics, intelligent transport systems, electronics and Instrumentation, automated driving, connected driving.

Number of Publications: 50

Research Interest: Laparoscopic and robotic surgery

Filippo Cavallo, MScEE, Phd in Bioengineering, is Assistant Professor at the BioRobotics Institute of Scuola Superiore Sant’Anna, (Pisa, Italy), focusing on cloud and social robotics, wireless and wearable sensor systems, biomedical processing, acceptability and ICT roadmapping. He participated in various National and European projects and currently is principal investigator of the DAPHNE Project and Work Package responsible in TransSafe (AAL-JP) and Centauro (Tuscany Region). Recently he was also project manager of Robot-Era, AALIANCE2 and Parkinson Project. He was visiting researcher at the the EndoCAS Center of Excellence, Pisa, Italy working in Computer Assisted Surgery (2005-2007); at the Takanishi Lab, Waseda University, Tokyo, Japan working on wireless sensor network (2007); at Tecnalia Recerch Center, Basque Country, Spain working on wearable sensor system for AAL. He was granted from the International Symposium of Robotics Research Committee as Fellowship Winner for best PhD thesis in Robotics (2007); from the Regional POR FSE 2007-2013 for a 3-years Research position at The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy (2010-2013); from the ACCESS-IT 2009 for the Good Practise Label in Alzheimer Project (2009); from the Well-Tech Award for Quality of Life with the Robot-Era Project (2014); from the SMAU Award for Quality of Life with the Robot-Era Project (2014) and from iNEMO Challenge from STMicroelectronics (2015). In 2016 he was also chair of the Italian Forum of Ambient Assisted Living and related Summer School in Italy. He is author of various papers on conferences and ISI journals.

Research Interest: Service robotics, Cloud robotics, wearable sensors, IoT, AI, healthcare application, Industry 4.0

Biography: Dr. Hao-Xian Yang has received his PhD in Sun Yat-sen University Cancer Center during the period of 1999- 2004. Currently, he is working as Chief physician, Department of Thoracic Surgery in Sun Yat-sen University Cancer Center, PR China. He has authored 33 research articles.

Research Interest: Minimally invasive thoracic surgery, especially robotic thoracic surgery; multidisciplinary and individualized therapy of thoracic cancers, early detection of thoracic cancers, and thoracic cancer staging

Research Interest: Hard Tissue Biomechanics, Finite Element Modelling, Implant Design and Preoperative Planning.

November 1999 to date: Researcher (1999 -2004), Associate Prof. (2005-to date) at “Mediterranea” University if Reggio Calabria.
1994: Master degree in Civil Engineering, “Mediterranea” University if Reggio Calabria.
2013: Degree in Mathematics, University of Messina.
2018: Master degree in Mathematics, University of Messina.
1999: PhD in Electronic Engineering.
LANGUAGES: English (B2) French (C1).

Research Interest: MEMS/NEMS, Magnetorheological Fluids, Image and Signal Processing

List of Publications: (the most recents):
1.    Mario Versaci, Antonino Cutrupi, Annunziata Palumbo (2021). A Magneto-Thermo-Static Study of a Magneto-Rheological Fluid Damper: A Finite Element Analysis. IEEE TRANSACTIONS ON MAGNETICS, vol. 57, ISSN: 0018-9464, doi: 10.1109/TMAG.2020.3032892
2.    Giovanni Angiulli, Mario Versaci, Salvatore Calcagno (2020). Computation of the Cutoff Wavenumbers of Metallic Waveguides with Symmetries by Using a Nonlinear Eigenproblem Formulation: A Group Theoretical Approach. MATHEMATICS, vol. 8, p. 1-20, ISSN: 2227-7390, doi: 10.3390/math8040489
3.    Giovanni Angiulli, Mario Versaci, Salvatore Calcagno, Paolo Di Barba (2020). Quick Retrieval of Effective Electromagnetic Metamaterial Parameters by Using a Multi-fidelity Surrogate Modelling Approach. THE EUROPEAN PHYSICAL JOURNAL. APPLIED PHYSICS, ISSN: 1286-0042, doi: 10.1051/epjap/2020200014
4.    Giovanni Angiulli, Salvatore Calcagno, Domenico De Carlo, Filippo Laganà, Mario Versaci (2020). Second-Order Parabolic Equation to Model, Analyze, and Forecast Thermal-Stress Distribution in Aircraft Plate Attack Wing–Fuselage. MATHEMATICS, vol. 8, p. 1-21, ISSN: 2227-7390, doi: 10.3390/math8010006
5.    Mario Versaci, Alessandra Jannelli, Giovanni Angiulli (2020). Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile. IEEE ACCESS, vol. 8, p. 125874-125886, ISSN: 2169-3536, doi: 10.1109/ACCESS.2020.3008332
6.    Mario Versaci, Giovanni Angiulli (2020). Electrostatic Capacity of a Metallic Cylinder: Effect of the Moment Method Discretization Process on the Performances of the Krylov Subspace Techniques. MATHEMATICS, vol. 8, p. 1-37, ISSN: 2227-7390, doi: 10.3390/math8091431 - Articolo in rivista
7.    Mario Versaci, Giovanni Angiulli, Alessandra Jannelli (2020). Recovering of the Membrane Profile of an Electrostatic Circular MEMS by a Three-Stage Lobatto Procedure: A Convergence Analysis in the Absence of
Ghost Solutions. MATHEMATICS, vol. 8, p. 1-19, ISSN: 2227-7390, doi: 10.3390/math8040487
8.    Mario Versaci, Giovanni Angiulli, Fabio La Foresta (2020). A Modified Heart Dipole Model for the Generation of Pathological ECG Signals. COMPUTATION, vol. 8, ISSN: 2079-3197, doi: 10.3390/computation8040092
9.    Mario Versaci, Paolo Di Barba, Francesco Carlo Morabito (2020). Curvature-Dependent Electrostatic Field as a Principle for Modelling Membrane-Based MEMS Devices. A Review. MEMBRANES, vol. 10, ISSN: 2077-0375
10.    Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2020). Curvature Dependent Electrostatic Field in the Deformable MEMS Device: Stability and Optimal Control. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 11, p. 35-54, ISSN: 2038-0909, doi: 10.2478/caim-2020-003
11.    VERSACI, Mario, Palumbo A (2020). Magnetorheological Fluids: Qualitative comparison between a mixture model in the Extended Irreversible Thermodynamics framework and an Herschel–Bulkley experimental elastoviscoplastic model. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 118, p. 1-13, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2019.103288
12.    Versaci Mario, Angiulli Giovanni, Di Barba Paolo, Morabito Francesco Carlo (2020). Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates. OPEN PHYSICS, vol. 18, p. 230-240, ISSN: 2391-5471, doi: 10.1515/phys-2020-0159
13.    Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2019). A 2D Non-Linear Second-Order Differential Model for Electrostatic Circular Membrane MEMS Devices: A Result of Existence and Uniqueness. MATHEMATICS, vol. 7, p. 1-18, ISSN: 2227-7390, doi: 10.3390/math7121193
14.    VERSACI M, Angiulli G, Fattorusso L, Jannelli A (2019). On the Uniqueness of the Solution for a Semi-Linear Elliptic Boundary Value Problem of the Membrane MEMS Device for Reconstructing the Membrane Profile in Absence of Ghost Solutions. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 109, p. 24-31, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2018.10.014
15.    Angiulli G, Jannelli A, Morabito Francesco Carlo, Versaci M (2018). Reconstructing the membrane detection of a 1D electrostatic-driven MEMS device by the shooting method: convergence analysis and ghost solutions identification. COMPUTATIONAL AND APPLIED MATHEMATICS, vol. 34, p. 133-146, ISSN: 0101-8205, doi: 10.1007/s40314-017-0564-4
16.    Versaci M., La Foresta F., Morabito F. C., Angiulli G. (2018). A fuzzy divergence approach for solving electrostatic identification problems for NDT applications. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 57, p. 133-146, ISSN: 1383-5416, doi: 10.3233/JAE-170043
17.    Angiulli G, De Carlo D, Sgrò A, VERSACI M, Morabito Francesco Carlo (2017). Accurate modelling of lossy SIW resonators using a neural network residual kriging approach. IEICE ELECTRONICS EXPRESS, vol. 14, p. 1-6, ISSN: 1349-2543, doi: 10.1587/elex.14.20170073 -
18.    Di Barba P, VERSACI, Mario, FATTORUSSO, Luisa Angela Maria (2017). Electrostatic Field in Terms of Geometric Curvature in Membrane MEMS Devices. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 8, p. 165-184, ISSN: 2038-0909, doi: 10.1515/caim-2017-0009 -
19.    Versaci M, Morabito Francesco Carlo, Angiulli G (2017). Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube. IEEE ACCESS, vol. 5, p. 26922-26931, ISSN: 2169-3536, doi: 10.1109/ACCESS.2017.2776349
20.    MORABITO, Francesco Carlo, Campolo M, Mammone N, Franceschetti S, Tagliavini F, Gambardella A, Cianci V, Ferlazzo E, Aguglia U, VERSACI, Mario, Sofia V, Fatuzzo D, Labate A, Mumoli L, Tripodi GG, Gasparini S, Sueri C (2016). Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 26, p. 1-15, ISSN: 0129-0657, doi: 10.1142/S0129065716500398

Dr. Nicola Pellegrini is currently an assistant professor at University of Brescia. He has been involved in projects related to integrated mechatronic systems, product development, virtual factory modeling, motion planning and soft computing simulation. He is author of articles published in international journals and conferences. He has collaborated to National and European research programs and projects funded by private companies. Nicola Pellegrini is member of the ASME (American Society of Mechanical Engineers) and IFToMM Italy (International Federation for the Promotion of Mechanism and Machine Science).

Research Interest: Robotics; Diagnostics and prognostics; Reliability; Mechatronics; Vibrations

URL: https://www.unibs.it/ugov/person/6323

Number of publications: 30

Skype ID: nicola.pellegrini_5

Research Interest: Robotic Surgery

Biography: Dr Xing-Gang Yan received the B.Sc. degree from Shaanxi Normal University, in 1985, the M.Sc. degree from Qufu Normal University in 1991, and the Ph.D. degree of engineering from Northeastern University, China in 1997. Currently, he is Associate Professor of Control Engineering at the University of Kent, United Kingdom. He worked as a Research Fellow/Research Associate in the Northwestern Polytechnical University, University of Hong Kong, China, Nanyang Technological University, Singapore and the University of Leicester, United Kingdom. He was a Lecturer in Qingdao University, China from 1991 to 1994. He is the Editor-In-Chief of the International Journal of Engineering Research and Science & Technology. He serves as a member of the Editorial Board of several engineering journals and a member of TPC for several conferences. His research interests include sliding mode control, decentralised control, fault detection and isolation, nonlinear system and time delay system with applications. He has published three books, five invited book chapters and over 170 referred papers in these research areas.

Research Interest: Control Theory and Control Engineering including sliding mode techniques, decentralised control, fault detection and fault tolerant control  with applications in mobile robot system, robot arm control and vehicle control.

Research Interest: Biomechatronics, Wearable sensor applications for physical medicine and rehabilitation, Inertial motion capture, System dynamics and control.

Biography: Associate Prof. Dr. Sy Dzung Nguyen (Sy Dung Nguyen) received the M.E. degree in Manufacturing Engineering from Ho Chi Minh City University of Technology (HCMUT) – VNU, Vietnam, in 2001, PhD degree in Applied Mechanics in 2011 from HCMUT. He was a postdoctoral fellow at Inha University, Korea, 2011-2012, at Incheon National University, Korea, 2015-2016. He is currently a Head of Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Vietnam. His research interests include artificial intelligence, nonlinear adaptive control, robotics, managing online structure damage, and big data. Dr. Nguyen has been the main author of several ISI papers in these fields.

Research Interest: Mechanics; Mechatronics; Intelligent Systems and Control; Industrial Robots