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KEYNOTE  SPEAKERS 2024

Prof.Usman Qayyum
Director Artificial Intelligence NUST
CESAT- Department of Artificial Intelligence

Islamabad Pakistan

Dr. Usman Qayyum, Director (Artificial Intelligence) @ RESOLVE NUST. Dr. Usman Qayyum is an experienced researcher, a skilled Artificial Intelligence and roboticist, with a proven track record in the research industry with 18+ years of experience. He obtained his MS degree from National University of Science & Technology (NUST) in 2006 as a gold medalist. He holds a Ph.D. with a focus in Robotics and Artificial Intelligence, from the Australian National University in 2014. During the PhD, his research was focused on autonomous aerial vehicles. Later on, he did his post doctoral on Self-driving cars and was awarded $15000 for his extraordinary work. He is privileged to demonstrate the first self-driving car to the Prime minister of Singapore (Lee Hsien Loong) in July 2015.

Currently he is working as Director of Artificial Intelligence at Research and Solution Ventures (RESOLVE) Pakistan. He has contributed 35+ research papers in the reputed international journal and conferences and has written a book in the field of computer vision. He has supervised various students of BE/MS/PhD in their project & thesis. He is a member of the Artificial Intelligence and Robotics board from the Ministry of Science and Technology (MOST) Pakistan. He is also a part of the evaluation board for the research fund at National Center of Artificial Intelligence (NCAI), Pakistan. 

Dr. Usman is chair of Artificial Intelligence and Software technologies track in IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST) conference and he is also the IEEE deputy publication chair of IBCAST at IEEE Islamabad section. He is privileged to make Pakistan’s First Electro-medical device of Pakistan approved by Pakistan Engineering Council and Drug Regulatory Authority (DRAP) of Pakistan. He has led a team of AI engineers to won the PASHA ICT award in the area of AI healthcare in 2021. He has a solid experience in the field of AI, Deep Learning, Robotics, Computer Vision, Predictive Analytics and healthcare.

 

Talk Title is : Artificial Intelligence operations for smart city

Artificial Intelligence (AI) is becoming an increasingly important tool for businesses to gain a competitive advantage. However, deploying and managing AI models in production can be challenging. The talk will discuss Artificial Intelligence Operations, which is a rapidly growing field that combines the disciplines of Machine Learning, Software Engineering, and DevOps to build, train, deploy and manage artificial intelligence/ML models in production.

The talk will highlight the utility of MLOPS to organizations which allow them to create repeatable and reliable procedures when deploying AI applications in production including Continuous Integration/Continuous Delivery (CI/CD), version control, testing frameworks and deployment strategies to help teams efficiently collaborate on developing innovative machine learning solutions.

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Prof.Radu Rugescu

Manager of ADDA Aerospace Private Company

National University of Science and Technology Politehnica Bucharest

Dr. Radu D. Rugescu, university professor, married (daughter and son), born in Bucharest, Romania, E. U. was affiliated since 1969 with University “Politehnica” ofBucharest (UPB), successively from assistant professor to full professor. With expertise in Space Technology and Astronautics, specifically Propulsion, Thermochemistry, Astrodynamics, Optimization, Statistics, Programming, Robotics and Manufacturing Technology, he has taught courses in Romanian, English and German languages.He has received the Doctor in Science degree from UPB in Aerodynamics and Fluid Mechanics and performed several specializations in Germany and USA. He is the founder President of ADDA-Association Dedicated to Development in Astronautics since 1959, incorporated as LLC in 1991, now the owner of the space propulsion large test facility in Fagaras city, Romania. Dr. Rugescu first presented a public conference on Space Flight in May 16, 1959, at the National College St. Sava in Bucharest, Romania followed by micro-rocket launches, a largely mediatized event. His research firsts include a Genuine Solid Rocket Propellant in 1959, The first Romanian liquid propellant rocket engine in 1969, the first Capture of freezing temperature of water-gas reaction in 1982, the firstRomanian air-breathing rocket engine in 1987, a New variational method for discontinuous integrands in 1997, a new technology for Air captured imaging and TV live transmission from high altitude airplanes of solar eclipse in 1999, Non-Keplerian gravity coupling of very large space structures in 2004, Solar gravity- assisted Accelerator in 2006, The unit histogram for scarce statistical information in 2008, the first Romanian Rocket-to-ground telemetry transmission in 2010 (in cooperation), Micro-thruster for spacecraft orientation and Graphometric process and device in 2013, Retroinjector for instable liquids and theCombined Rocket Engine in 2014, Rocket engine with free nozzle in 2015 and others. He was PI in the ORVEAL project, granted by UEFISCDI to ADDA LLC in 2012 for a four-year development of the third stage of the Romanian orbital launcher SPARTACUS, scientific director in the 4 mills euro MORALISS- NERVA project in 2016 and in other 23 national and 7 international R&D grants. Dr. Rugescu is inventor in four patents and authors 3 other patent applications under evaluation in Romania. He is member of the Astronautics Commission of the Romanian Academy since 1975, member of theInternational Institute for Acoustics and Vibrations since 2002, of the Working Group for the Space Elevatorof the International Academy of Astronautics since 2004, of the American Chemical Society since 2010, of the History Committee of the International Academy of Astronautics since 2011, of the American Society of Mechanical Engineers-ASME since 2013, founding member of the Romanian-US Alumni Association since 2013, and in other societies. He was nominated in 2011 by the Romanian government and proposed again in 2016 as board member of the National Commission for Academic Titles CNATDCU in Aerospace and Transportation.Dr. Rugescu was honored with the “Henry Coanda” prize of the Romanian Academy in 2013

 

Title of prezentation:Ignition prediction and confirmation test in the ORVEAL rocket system.

Ignition of the solid propellant cartridge in the compound rocket motor ORVEAL was basically designed with a black powder igniter and further improved with a coloidal pellet igniter. The main requirement imposed to the igniter is to rapidly fill the inner, closed free volume of the combustion chamber with enough gas products in order to increase the inner pressure of the motor to the safe ignition limit of the propellant, which is 40 bar in this case. Intensive ignition tests were conducted in 2013÷2016 by ADDA team, in isochoric calorimeter bombs, to reliably validate the design formulae for the igniter. This led to the specification of 12 grams of-DRP2 black powder with a heat of combustion of 690 cal/g of Făgăraș make for the igniter to produce a peak pressure of 40 bar in the 410 cm3 free volume of the combustor, when the rupture hood of the nozzle would tear. The first hot ignition test in September 26, 2022 revealed the strikingly close value of 41,25 bar for the maximal pressure for which the nozzle hood was expelled. That proves the validity of the presizing method used for the engine. Equivalence determination shows that for the colloidal, cordite type pellets of Făgăraș make, with the heat of combustion of 1100 cal/g, the required quantity of pellets is of 7 g for the same data and tests are under preparation to validate this new value. This optimal functioning of the ignition device ensures that the ORVEAL compound rocket engine will start burning according to predictions.

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Prof.Muhammad Ushaq - University from Islamabad

Pakistan

Dr Muhammad Ushaq got his early education from Taxila and Islamabad, Pakistan. He did his graduation in Electrical (Communication) Engineering from University of Engineering & Technology Peshawar (1991~95). He completed his Master and PhD studies in the field of Precision Instruments & Machinery (Specializing in GNSS/INS Navigation Systems) from Beihang University Beijing during 2001~2003 and 2010~2013 respectively.

He has been teaching courses on Inertial Navigation Systems (INS), Global Navigation Satellite Systems (GNSS) and GNSS/INS Integrated Navigation Systems (as visiting faculty) in different institutions of Pakistan since 2005. His research interests include GNSS, Inertial Navigation Systems, GNSS/INS Integrated Navigation, Robotics, Orbital Mechanics, Data Fusion, Kalman Filtering, and Fault Tolerant Navigation Systems. He has supervised over 30 undergrad and Master research projects in the field of GNSS, and GNSS/INS navigation systems. He has a number of research publications in the related fields. He enjoys swimming, hiking and sight-seeing during his leisure times.

Title of presentation: Mechanization of a robust navigation system for land applications emploiyng GNSS/INS augmented with zero velocity update

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Prof. Osman Adiguzel

Firat University, Elazig, Turkey

 

Dr. Osman Adiguzel graduated from Department of Physics, Ankara University, Turkey in 1974 and received PhD- degree from Dicle University, Diyarbakir-Turkey. He studied at Surrey University, Guildford, UK, as a post doctoral research scientist in 1986-1987, and his studies focused on shape memory alloys. He worked as research assistant, 1975-80, at Dicle University and shifted to Firat University in 1980. He became professor in 1996, and he has been retired due to the age limit of 67, following academic life of 45 years.

He published over 80 papers in international and national journals; He joined over 120 conferences and symposia in international and national level as Plenary Speaker, Keynote Speaker, Invited speaker, speaker or Poster presenter. He served the program chair or conference chair/co-chair in some of these activities. In particular, he joined in last six years (2014 - 2019) over 60 conferences as Speaker, Keynote Speaker and Conference Co-Chair organized by different companies in different countries.

Additionally, he retired at the end of November 2019, and contributed with Keynote/Plenary Speeches over 120 Virtual/Webinar Conferences, due to the coronavirus outbreak in three year of his retirement, 2020 and 2022.

Dr. Adiguzel served his directorate of Graduate School of Natural and Applied Sciences, Firat University in 1999-2004. He supervised 5 PhD- theses and 3 M. Sc theses. He is also technical committee member of many conferences. He received a certificate which is being awarded to him and his experimental group in recognition of   significant contribution of 2 patterns to the Powder Diffraction File – Release 2000. The ICDD (International Centre for Diffraction Data) also appreciates cooperation of his group and interest in Powder Diffraction File.

Scientific fields of Dr. Adiguzel:  Shape memory effect and displacive phase transformations in shape memory alloys and other alloys, molecular dynamics simulations, alloy modeling, electron microscopy, electron diffraction, x-ray diffraction and crystallography.

Title of presentation: Shape Memory Phenomena and Functional Characterization of Shape Memory Alloy

Shape memory alloys take place in a class of adaptive structural materials called advanced smart materials by exhibiting a peculiar property called shape memory effect with the recoverability of two shapes at different conditions.  This phenomenon is initiated with thermomechanical processes on cooling and deformation and performed thermally on heating and cooling, with which shape of the material cycles between original and deformed shapes in reversible way. Deformation in low temperature condition is plastic deformation, with which strain energy is stored in the materials and releases on heating by recovering the original shape. This phenomenon is governed by the thermal and mechanical reactions, thermal and stress induced martensitic transformations. Thermal induced martensitic transformations occur on cooling with cooperative movement of atoms in <110 > -type directions on a {110} - type plane of austenite matrix, along with lattice twinning reaction and ordered parent phase structures turn into the twinned martensite structures. The twinned structures turn into detwinned martensite structures with deformation by means of stress induced martensitic transformations. 

These alloys exhibit another property, called superelasticity. Superelasticity is performed in only mechanical manner with stressing and releasing the material in elasticity limit at a constant temperature in the parent austenite phase region, and shape recovery occurs instantly upon releasing, by exhibiting elastic material behavior. Superelasticity is performed in non-linear way, unlike normal elastic materials behavior, loading and releasing paths are different at the stress-strain diagram, and hysteresis loop refers to the energy dissipation. Superelasticity is also result of stress induced martensitic transformation and ordered parent phase structures turn into the detwinned martensite structures with stressing. Lattice twinning and detwinning reactions are driven by lattice invariant shear and play important role in martensitic transformations. 

Shape memory alloys are functional materials with these properties and used in many fields from biomedical application to the construction industry, against seismic effect, as energy absorber.

Copper based alloys exhibit this property in metastable β-phase region, which has bcc-based structures.  Lattice invariant shear and twinning is not uniform in these alloys and gives rise to the formation of complex layered structures. The layered structures can be described by different unit cells as 3R, 9R or 18R depending on the stacking sequences on the close-packed planes of the ordered lattice. The unit cell and periodicity are completed through 18 layers in direction z, in case of 18R martensite, and unit cells are not periodic in short range in direction z. 

In the present contribution, x-ray and electron diffraction studies were carried out on copper based CuZnAl and CuAlMn alloys. X-ray diffraction profiles and electron diffraction patterns exhibit super lattice reflection. X-ray diffractograms taken in a long-time interval show that diffraction angles and intensities of diffraction peaks change with the aging duration at room temperature.  This result refers to the rearrangement of atoms in diffusive manner.

Prof. Florentin Smarandache

University of New Mexico

United States of America

 

Scientist, writer, and artist. Wrote in four languages: English, Romanian, French, and Spanish.
He did post-doctoral researches at Okayama University of Science (Japan) (2013-2014); at Guangdong University of Technology (Guangzhou, China), 19 May - 14 August 2012; at ENSIETA (National Superior School of Engineers and Study of Armament), Brest, France, 15 May - 22 July 2010; and for two months, June-July 2009, at Air Force Research Laboratory in Rome, NY, USA (under State University of New York Institute of Technology).

Graduated from the Department of Mathematics and Computer Science at the University of Craiova in 1979 first of his class graduates, earned a Ph. D. in Mathematics from the State University Moldova at Kishinev in 1997, and continued postdoctoral studies at various American Universities and Research Institutions, such as University of Texas at Austin, University of Phoenix, Arizona State University, New Mexico State University at Las Cruces, Los Alamos National Laboratory etc. after emigration.

Military artillery service (1974-1975, Medgidia, Romania; honorably discharged as second lieutenant in reserve).

In U.S. he worked as a software engineer for Honeywell (1990-1995), adjunct professor for Pima Community College (1995-1997), in 1997 Assistant Professor at the University of New Mexico, Gallup Campus, promoted to Associate Professor of Mathematics in 2003, Full Professor in 2008, and Professor Emeritus since 2022.
Between 2007-2009 he was the Chair of Math & Sciences Department. In mathematics he introduced the degree of negation of an axiom or theorem in geometry (see the Smarandache geometries which can be partially Euclidean and partially non-Euclidean, 1969, 
http://fs.unm.edu/Geometries.htm), the multi-structure (see the Smarandache n-structures, where a weak structure contains an island of a stronger structure, http://fs.unm.edu/Algebra.htm), and multi-space (a combination of hetero
geneous spaces) [http://fs.unm.edu/Multispace.htm].

Title of presentation: Overview of Neutrosophic Theory  and his applications

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Prof. Adrian Olaru

National University of Science and Technology POLITEHNICA Bucharest, Romania

Prof. Adrian Olaru finished the University Politehnica of Bucharest, Faculty of Machines and Manufacturing Systems, Romania, in 1974, head of promotion. From 1974 until 1990 he worked as a designing engineer at the "Optica Romana" Enterprise, also being an associate assistant at the Faculty of Machine-Building Technology of the Polytechnic Institute of Bucharest. In 1990 Prof. Adrian became an appointed lecturer at the Faculty of Technological Systems Engineering and Management, the Machine-Tools Department. Now, he is university full professor, and teaches the following courses: Industrial Robots Dynamics, LabVIEW application in modeling and simulation of the dynamic behavior of robots, Technological Transport Systems, Electrohydraulic Servosystems, Analyze and Syntese of Electrohydraulic Servosistems for Industrial Robots, Personal and social robots and Vibration of the virtual prototypes of industrial robots. Prof. Adrian Olaru has published over 160 national and international papers concerning modeling and simulation of hydraulic power system, technological transport systems, electrical and hydraulic servo systems and dynamic behavior of industrial robots. For recent relevant details, see the publication list and the web page. He also has substantial contribution for over than ten technical books. Prof. Adrian Olaru was invited professor of the prestigious universities arround the world and the invited speacker at the different international conferences from Slovakie, France, Italy, China, India, Iran, Poland, Autrich, Rusian Federation, United Arab Emirates, Turkie, Croatie. He was coopted each year in the more than 30 International Technical Committees and like general co-chair from the different international conferences arroun the world: USA, Australy, India, United Arab Emirates, Porto Rico, China, Singapore, Malayesia, Japan, Tayland, Slovaky, Czech Republic.

Title of presentation:  Base Density for Support Vector Machine and his applications

Abstract:The base density of the support vector for machine learning (BDSVM) is important to establish the basic data for neural network learning. This paper presents a method to find the most important data and establish the objective function (FO) for the vector support machine learning (SVM). SVM is the most successful algorithm for classification problems. SVM establishes the decision limit between two classes of collected data (in the binary classification variant), this constituting the training points for the neural network. However, sometimes there are some less significant data among the training points, which are far from the training limit, being considered noise or data misplaced in Cartesian space from this training limit, called outliers. These outliers affect the performance of the learning stage of the neural network, and the proposed BDSVM algorithm eliminates them. Many research results prove this sensitivity of SVM to outliers, which is a weak point for SVM. Various researchers have proposed different methods approaches to reduce the effect of outliers, but no one method is suitable for all types of data sets. In this paper, the new method of collected data base density for support vector machine (BDSVM) is introduced.

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Prof. Vlad Muresan

Technical University Cluj-Napoca, Romania

was born in Zalǎu, Sǎlaj, Romania, in 1983. He received the B.S. and M.S. degrees in Automation and Applied Anformatics from the Technical University of Cluj-Napoca, Cluj, Romania (in 2007 and in 2009) and the Ph.D. degree in Systems Engineering from Technical University of Cluj-Napoca, Cluj, Romania, in 2010. Since 2008 he is a member of staff in the Automation Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca (Since 2014 he is Associate Professor and since 2017 he is Ph.D. coordinator).

The main research interests are: mathematical modeling and numerical simulation of distributed parameter processes, industrial plant control, isotope separation processes (modeling and control), advanced control of the metallurgical processes, intelligent control, biomedical processes, fractional-order systems etc.

He published more than 130 papers in journals or communicated at international conferences, he is the main author or coauthor of 9 technical books and he participated in 11 research contracts as manager or as member in the research team. Also, he is IFAC (International Federation of Automatic Control) member and he received the Best Paper Award in 5 international conferences.   

 

Title of  prezentation  Modeling and Control of Industrial Processes

Abstract: IIn the presentation, the domain of industrial processes is approached. In this context, examples of thermal processes, of metallurgical processes and of energy processes are detailed. For each industrial process, the solution of obtaining the mathematical model is presented. The main challenges in modeling the industrial processes are due to the fact that, in general, they are distributed parameter processes and the experimental data are hard to be obtained. Also, the main original strategies proposed for controlling the operation of the approached industrial processes are exposed.

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Prof. Gabriel JIGA

Strength of Materials Department

Faculty of Industrial Engineering and Robotics

Head of the UPB ERASMUS desck

National University of Science and Technology POLITEHNICA Bucharest, Romania

Qualifications and studies: PhD Degree in Industrial Engineering (1997) Bachelor of Science Degree in Machine Building Technology (1986) - Faculty of Engineering and Management of Technological Systems, POLITEHNICA University of Bucharest, (Romania). Experience in Education and Education Management: Professor, Associate Professor, Lecturer, Research Assistant/engineer, from: 2004, 1997, 1994, 1990 in the Department of Strength of Materials, Vice-dean (2008-2012) and (2012-2016) - Faculty of Engineering and Management of Technological Systems, POLITEHNICA University of Bucharest, (Romania). Experience and knowledge related to research in the field of advanced materials. 2005 – Marie Curie projects evaluator (48 projects) in Brussels (EIF Mobility 5 – 20 projects, IIF Mobility 7 – 15 projects, OIF Mobility 6 – 13 projects).Project manager POSDRU/161/2.1/G/136467, „First steps to a successfull carrier”– PRIMUS,Long term expert in POSDRU/86/1.2./S/56872 Project, „Inter-universities virtual community for science, technology, innovation and capitalization of intellectual properties”, Project manager in Excellence in Research project CEEX 211/2006 “Research on modular elements achievement destined for the increase of impact strength of the safety guardrails”. Project manager in Excellence in Research project  CEEX 213/2006 “Research on achievement of modular elements made from composite materials in order to increase the mechanical shocks of cabins protective structure”.Trainer in the frame of several European projects E-learning, IT (Leonardo da Vinci, Grundtvig). Chairman of the Organizing Committee of the Student Professional Contest in Strength of materials. Chairman of the first and IVthInternational Conference of Structural Analysis of Advanced Materials ICSAAM 2005, ICSAAM 2011, held in Bucharest and Sinaia. Vice-chairman at the IInd(Patras), IIIrd (Tarbes), Vth(Patras) and VIth(Porto) International Conference of Advanced Materials. At present ERASMUS+ Coordinator in University POLITEHNICA of Bucharest.

 

Title of presentation: Topological optimization of a polyfunctional end-effector used in palletizing applications

 

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Prof. Mircea Hulea

Gheorghe Asachi Technical University of Iasi, Romania

Mircea Hulea received his M.S. and Ph.D. degrees in Computer Engineering and Automatic Control, respectively from the Gheorghe Asachi Technical University of Iasi Romania, in 2004 and 2008, respectively. From 2010 to 2013, he was Postdoctoral Researcher at the same university, and worked on the project of Biomimetic hardware and software systems and their applications. Since 2018, he is Associate Professor of Neural Networks at the Gheorghe Asachi Technical University of Iasi, Romania. Second-Author is the author of over 40 technical publications, proceedings, editorials and books, more than 20 being indexed ISI Web of Knowledge. His research interests include Brain modelling, Humanoid robotics and Optical wireless communications. He is the coordinator of the collaborative research network on Spiking Neural Networks at the Gheorghe Asachi Technical University of Iasi, Romania. Since 2020 he is a member in the management committee of the European project COST Action 19111 NEWFOCUS.

 

Title of presentation: Spiking neural networks for motion control in robotics

Abstract: Spiking neurons model rigorously the physiology of the neural cells in the brain and when implemented in hardware such neurons benefits from low power consumption, high reliability and very good signal-to-noise ratio. This makes SNN a good candidate for the implementation of biologically plausible control units for robotic systems. Another critical characteristic of control units is adaptability which is determined by the plasticity of the synaptic weights. A typical bioinspired rule which adjust the synaptic efficiency according to the temporal activation of SNN inputs is the Hebbian learning. Based on these plasticity rules the SNN can learn to actuate the fingers which were moved previously during training, and to stop their motion in target angle intervals where the motion was blocked by an obstacle. Another application of adaptive SNN is light spot tracking where the neural network improves tracking performance based on the amplitude of the spot wandering. 

In robotic systems motion is performed by electric, pneumatic or hydraulic actuators. Among electric actuators the shape memory alloy (SMA) represents an elegant alternative to the widely used motors because of their small size, low weight and significant force-weight ratio. Our work show that SNN can control directly the contraction of these actuators by spiking frequency. This makes the pair SNN-SMA a good candidate to implement motion control in robotic systems without additional digital microcontroller based systems.  

 

Prof. Luminita Bibire

University "Vasile Alecsandri" Bacau, Romania

Prof.Ph.D.Eng.Luminita Bibire work in „Vasile Alecsandri” University of Bacău, Enveronmental Engineering and Mechanical Engineering Department. She teaching hours belonging to disciplines: Operations and Equipment for Process Industries, Process Equipment Design, Industrial Risk and Security, Occupational Health and Safety, Reliability; Professor is Expert Consulting Management (www.Qaudit.ro) – AMCOR member; 2011-2018 Director of Environmental Engineering and Mechanical Engineering Department; 2003-2009, Head of Process Equipment and Environmental Engineering Chair; She participated as organizer, all OPROTEH editions and scientific events of the celebrations for the Faculty of Engineering in university. Technocal skills and competences- Equipments for Process Industries design Risck and Security Assistment Maintenance Management; 2001-present - Member of the National Register of Experts CNCSIS, CEEX; PNCDI II, PNRR; 2007-present - Member in the Register of evaluators ARACIS; 2015- present-member of ModTech Iași, Romania, Asociația Profesională în Tehnologii Moderne de Fabricație; 2000 -2011 – Member of Romanian Fracture Mechanics Association; 2001- 2011 – Member of Romanian Tensiometry Association; 2005 -2011 – member of international society «European Structural Integrity» (ESIS); Documentation and teaching courses, within Erasmus Programe, at technical universities from Parma-Italia (3 times), Zaragoza-Spain (3 times), Huesca- Spain, La Rioja-Spain (3 times), Lisbon-Portugal, Ancona-Italy, Trieste-Italy, Istanbul-Turkey (twice), Pula-Croatia, Varajdin-Croația, Novy Sach-Poland; Member of the Doctorate Commission at the "Politehnica" University of Bucharest, Faculty of Mechanical Engineering and Mechatronics, Faculty of Biotechnical Systems Engineering, ”Transilvania” University of Brasov, Oil and Gas University of Ploiesti; member of the International Doctorate Commission at University of La Rioja Spain; Member of contest committees for the post of professor and associate professor at ”Vasile Alecsandri” University of Bacau, "Politehnica" University of Bucharest, Faculty of Mechanical Engineering and Mechatronics, and Faculty of Biotechnical Systems Engineering, ”Gh Asachi” Technical University - Iasi; She was part of all organizing committees of national and international scientific events organized by the "Vasile Alecsandri" University of Bacau, Faculty of Engineering; visiting professor to lecture at the University of La Rioja - Spain (16 March) 2012; reviewer for books and specialty papers; coordinator in committee at 1st didactic degree; member in committee at the 1st didactic degree; reviewer at ISI Journals; 7 books of which 5 as the first author; 9 textbooks (course materials and laboratory guidance); 23 - ISI and Proceeding ISI papers (of which 17 in Journals, 2 yellow zone and 2 red zone);18 - BDI papers; 58 - Papers published in Journals, national and international conference volumes; 20 national and international projects, won through competition, or with the economic environment (of which 6-director and 14-member).

Title of presentation: Computation Program Based on Own Calculating Method for the shaft of a Mixing Device

Abstract.The reliability of a mixing device is also significantly influenced by calculating deformations as accurately as possible.The existing classical method ignores both the obvious effect of the sealing device (the shaft being considered statically determined) and the elasticity of the bearings, which in most cases have been considered rigid supports. Even when the bearings were considered elastic supports, their stiffness was considered linear, which does not correspond to reality.The authors propose a new calculation method and a related computation program that eliminates these deficiencies. The shaft is considered statically undetermined, considering also the presence of the sealing device, and the bearings have been considered elastic supports, the effect of the elastic reaction being considered according to nonlinear laws. The paper, using the own calculation method, solves the problem of shaft deformations in case of the presence of the sealing device, as an elastic element, and under the conditions of considering the non-linear elasticity of the bearings. The calculation program provided by the authors can be developed with the possibility of calculating the shear force and the bending moment in any section, thus also offering the possibility of determining the stress state. In the calculation algorithm presented in the paper, the case of a shaft with constant cross-section was used, but by introducing the equivalent moment of inertia into the program data, the case of a stepped shaft can also be analysed. The authors believe that the accuracy of the results would have been better if they had also been able to solve the problem of accurately determining the cantilever force loading the shaft. It is also considered that the numerical computation methods (least squares method and Newton's method) used at this stage of research, in solving nonlinear systems, introduce a certain degree of approximation of the results. It can also be said, therefore, that both the established calculation relationships  and the calculation program can be a real support in the work of design engineers, the calculation program offering the possibility of rapid determination of deformations, shear force and bending moment in sections of priority interest of the shaft (end of the cantilever, sealing device, bearings, coupling) and in generally in any section. On the other hand, by determining shaft deformations at the design stage, it is possible to predict their variation, thus avoiding premature wear or even damage to the seal device, bearing or coupling.

Prof. Valentina Emilia Balas

Aurel Vlaicu University of Arad, Romania

                        

Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.  She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 400 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. 

Dr. Balas is the Head of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Head of the Department of International Relations in the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in ten editions organized in the interval 2005-2022 and held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker. Recently she was working on a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation. She is a member of European Society for Fuzzy Logic and Technology (EUSFLAT), member of Society for Industrial and Applied Mathematics (SIAM) and a Senior Member IEEE, member in Technical Committee – Fuzzy Systems (IEEE Computational Intelligence Society), chair of the Task Force 14 in Technical Committee – Emergent Technologies (IEEE CIS), member in Technical Committee – Soft Computing (IEEE SMCS). She is member in the Committee of IEEE Romania Section as Volunteers Training Coordinator and vice chair of IEEE Computational Intelligence Society Chapter – CIS 11. From 2021 she is member of IEEE European Public Policy Committee Working Group on ICT. Dr. Balas was past Vice President (awards) of IFSA - International Fuzzy Systems Association Council (2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India and recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019).

 

Title of presentation: Advanced Soft Computing Methods. Design and Practical Applications.

Abstract: The topic of the lecture is centered on utilizing soft computing techniques to design complex systems. This field is relatively new and offers various tools to model and analyze complex systems. Examples of techniques used include fuzzy logic, neural networks, and genetic algorithms. Fuzzy logic and expert systems are currently viewed as effective approaches for solving control problems in numerous applications. The lecture will present the design and practical applications of intelligent complex systems in various fields by incorporating deterministic knowledge about the processes and utilizing simulations to assist the design.

Prof. Marius M. Balas

Aurel Vlaicu University of Arad, Romania

 

Marius M. Balas, IEEE Senior Member, is a Habilitated Professor at The Engineering Faculty of Aurel Vlaicu University of Arad, Romania. His research topics are in Systems Engineering, Electronic Circuits, Intelligent and Fuzzy Systems, Adaptive Control, Modeling and Simulation. He is the author of 16 books and book chapters, 120 indexed papers and 7 invention patents. His main scientific contributions are the fuzzy-interpolative systems, the passive greenhouses, the intelligent rooftop greenhouses, the constant time to collision traffic optimization, the imposed distance braking, PWM inverter for railway coaches in tropical environments, the rejection of the switching controllers’ instability by phase trajectory analysis and the Fermat neuron. Coordinator for several research projects and student competitions, co-organizing the Control Engineering and Industrial Software Branch of the Engineering Faculty of Aurel Vlaicu University.

 

Title of presentation: Ways to increase the Carbon Offset

Abstract: One of the weapons we have in the fight against global warming is carbon offset. While there are other ways to provide this offset, carbon sequestration by plants is the most natural and effective way. To revive the planet again it is desirable to increase the presence of plants in our cities through urban agriculture. Our solution in this regard is the Intelligent Rooftop Greenhouse, which promotes a close symbiosis between the tenants of the building and the plants placed on the roof, as well as the integration into IoT networks to monitor and increase air quality. This system that produces carbon offset by itself has even the possibility of optimizing it. The presentation will mention the latest research carried out within this topic by our team from Aurel Vlaicu University of Arad.  

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Prof.Niculae Mihai

Concordia Technical University , Montreal

President of TechnoAccord Private Company Leuval, Canada

Niculae Mihai is a associate professor at the Concordia University from Montreal and president of the private company TechnoAccord, Canada. He is Ph. D. engineer in industrial engineering of Polytechnic University of Bucharest, Romania; OIQ member since 2007; written two books about the dynamics behaviour of industrial robots; over 60 scientific works published in various international scientific journals; 15 years of experience in managing of own company - Technoaccord Inc. - in the field of robotics; 5 years of experience in teaching students at “Politehnica” University of Bucharest - 4 years of experience in supervising students in internship: Concordia University, ETS, École Polytechnique, College Montmorency; 11 invention patents filed in the field of automatic production factories and industrial automation and robotics; multiple automatic lines implemented in industrial factories; 25 years of experience in the design of industrial lines - Catia V5, Autocad, RoboDK, Visual Components;CNC machines, PLC and robots programming; part-time professor, Concordia University Montreal - Course INDU411 - Computer Integrated Manufacturing - January 2024 – Present; 15 years experience in business management: meetings, negotiations, contract design, contract signing;contract monitoring, production supervision, quality control; senior engineer in digital control tool design (CNC and industrial robots); calculations and design of complex 3D metal structures in CATIA 5R, structural analysis by finite elements; kinematic and dynamic calculation, 2D and 3D kinematic simulation; o calculations for the sizing of electric and pneumatic motors; implementation of prototypes, tests, trials, corrections; specialist in automated production lines; monitoring of the production process and feasibility analyzes in customer factories; find optimal technical solutions for automation, integration of industrial robots and CNC machines; discussions with customers about technical variants of automation and the choice of the final solution; specialist in design and 3D graphic animation of the final automation solution; monitoring, adjustment and technical verification of the implementation of the automation project; calculation of materials and price estimation; o advice and coordination for the work team; G code programming of CNC machine and robot programs for industrial robots; 2D and 3D CNC programming in EnRoute, Aspire, BobCAD/CAM for all types of 2D and 3D parts in plastic, wood, aluminum and steel on TechnoCNC router and HAAS TM2 3 axes, especially for prototypes; 4-axis XYZA CNC programming, mechanical machining of PVC profiles for windows - slots, holes, cutouts; programming of the NewKerr 4-axis palletizing robot; Yaskawa 6-axis programming for cleaning PVC profiles, after welding; R&D activity; perform all electromechanical engineering tasks of the company; 5 years experience in welding jigs design; design of new products (SR&ED activity): beauty devices and equipment; design and production of prototypes, validation, production; drafting SR & ED reports for the government; 3-axis CNC programming in EnRoute and Rhynoceros.

Title of presentation: 3D Vision-Guided Robotic Sanding of Kitchen Cabinet Doors

 Abstract: This application utilizes a vision system with a 3D camera to scan and identify the shapes of kitchen cabinet doors. Once scanned, the system separates the 3D shapes from the plane surfaces. A 6-degree-of-freedom (6DOF) robotic arm equipped with an automatic tool changer (ATC) is then employed to sand the surfaces using different tools depending on whether they are 3D or plane. This automated process streamlines the sanding of kitchen cabinet doors, improving efficiency and consistency in surface preparation.

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Assoc. Prof.  Claudiu Bisu

Robotics and Production Systems Department

National University of Science and Tehcnology POLITEHNICA Bucharest

Engineer of Machine Tools - Univ. Polytechnic of Bucharest. Doctoral thesis completed in France at the Univ. Bordeaux 1, in the vibration machining field regarding the three-dimensional modeling of vibrations applied to turning. Associate Professor at the National University of Science and Technology Politehnica Bucharest .  Guest professor in France, ENSAM Bordeaux and Institute of Mechanics and Materials of Bordeaux.  Active concern in the field of vibration, testing and balancing, machining process, machine-tools, spindles diagnosis, condition monitoring, rotor dynamics, rotating machinery.

 

Title of presnsentation: Spindle diagnostic by process monitoring data and automated fault frequency integration

The  development of the machining in order to increase productivity and precision, by using CNC manufacturing systems with complex configurations, required equipment with high speed of rotation, and high displacements, but also reactive and digital monitoring, control and diagnostic systems. Taking into account the scope of spindle, the development of a monitoring and automatic diagnosis model in digital configuration, and in real time, represents an indispensable need in the context of industrial digitalization. The importance of the spindles is well known, as well as the presence of very complex dynamic phenomena, especially in the presence of high revs. The complexity of vibration transmissibility, the multitude of vibration sources as well as their coupling, make the diagnostic process limited or even produce large errors. The vibrations caused by various defects and their combinations are analyzed and assigned to the types of defects synchronized with the specific frequencies, thus being used to train automatic learning based on artificial intelligence. The measurement protocol is based on the use of vibration sensors, with local fixation on the spindle, being integrated into a monitoring system built specific for this purpose. The aim of the paper is centred on the fault diagnosis model applied to spindles that can integrate the types of faults both at low frequencies and at high frequencies; defect type, source of vibration and propose different types of solutions.

Prof. Afshin Banazadeh

Sharif University of Technology, Tehran, IRAN

Afshin Banazadeh is a professor in the faculty of Aerospace Engineering at Sharif University of Technology (SUT), where he has taught and researched since 2008. Holding a Bachelor of Science in Mechanical Engineering, a Master’s degree and a Doctorate in Aerospace Engineering, Dr. Banazadeh has served as an academic advisor to several Masters and Doctoral students and is frequently called upon to testify as an expert in his field. He has published over 50 refereed papers in high ranking journals and conferences and has received awards for research excellence from SUT. He is a senior member of AIAA and a member of ISIRI/TC20 Technical Committee. His current research interests are system identification, uncertainty-based design optimization, nonlinear stability analysis, data-driven control systems, and electric aircraft design. He also consults for various companies in the area of modeling, simulation, and design as well as technology demonstration activities.

 

Title of presentation: Activation of Vibrational Stabilization in Insect-Like Flapping Systems

Insect-like flapping wings, known for their complex multi-bodied structure and aerodynamically cyclic behavior, represent intricate aerial systems. Despite extensive engineering research over decades, many aerodynamic and dynamic phenomena governing these creatures remain inadequately understood. Of particular interest is vibrational stabilization, a phenomenon that significantly contributes to the inherent stability of specific types of these vehicles, acting as an open-loop inertial stability system. This study thoroughly examines the presence and effects of vibrational stabilization on the stability of an inverted oscillating pendulum and a six-degree-of- freedom model of an insect-like flyer. By analytically confirming the existence of this phenomenon and considering factors such as wing inertia and non-averaged aerodynamic forces, an investigation into the design parameters and their impact on the dynamic stability of the insect- like system has been conducted using a nonlinear simulation model.

Prof.  Tahir Jameel

Islamabad University, Pakistan

Head of AI & Software Technologies Track IBCAST , IEEE Conference, Visiting Faculty Member, FAST (NU), IIU, SZABIST and ARID, Registered Engineer, Pakistan Engineering Council, Excellent Doctoral Research Award, Awarded of $5000 USD for Research and Publications , Ministry of Education, China, Beijing University of Aeronautics and Astronauts (Beihang), Ph.D. Major: Computer Software Theory, Ph.D.,GIKInstitute,M.S.Major: Computer System Engineering Advisor: Asif Mahmood Gillani, Ph.D., Bahria University, B.S. Major: Software Engineering, 2015 Excellent Student Award Beihang University , 2014 Excellent Student Award Beihang University, 2012 Merit Scholarship for PhD Studies, PhD Study Scholarship from CGS Council, 2005 Merit scholarship for Master Studies, Software Reliability Prediction and Growth Estimation; Automated Software Testing, Symbolic Execution, Metamorphic Testing; Genetic Algorithms, Artificial Intelligence Beijing University of Aeronautics and Astronauts (Beihang), Ph.D. Major: Computer Software Theory, Advisor: Prof. Liu Chao, Ph.D., GIK Institute, M.S.Major: Computer System Engineering Advisor: Asif Mahmood Gillani, Ph.D. 

 

Title of presentation: Software Testing and Challenges 

Assoc.prof. Maya Sleiman
University Evry Val D'Essons Paris France

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