UASTRO & com.
Prof. Tahir Jameel- University of Islamabad
Dr. Tahir Jameel did his PhD in Software Testing from University of Aeronautics and Astronauts (Beihang) under supervision of Prof. Dr. Liu Chao, Beijing with high distinction. He received the Best International Student award ($5000 USD) from the Ministry of Education, China for his research contributions during his study. He also worked with Huawei Technologies, Beijing during his PhD Study. He has a vast experience of 16 years in the field of Software Technologies especially in Software Quality and Reliability. He has been associated with different Universities of Pakistan and contributed to different research and development projects. He has published 15 articles in different International Journals and Conferences. His research interests are Software Reliability Prediction and Growth Estimation, Automated Software Testing, Symbolic Execution, Metamorphic Testing, Genetic Algorithms etc. He is co-chair of Artificial Intelligence and Software Technologies Track in IEEE IBCAST."
Title of presentation: Software Reliability Engineering
Abstract: Software has become very significant in our lives and our dependence on them is increasing day by day. Software reliability engineering gives us a quantitative assessment of software quality and also allows us to analyze weak areas of software development process. We need to follow certain steps in addition to software development processes to ensure software reliability. Software reliability is predicted during early phases of software development life cycle using metrics based models and its growth is estimated once we get software failure data after software testing phase using statistical models. My talk will cover the key areas in software reliability life cycle and also prediction & growth estimation techniques.
Director of the University Doctoral Council, Transilvania University of Braşov, Romania
Member in the CNATDCU commission of Mechanical Engineering, Mechatronics and
Robotics (2016 - )
Member in academic councils: Administration Council of the Transilvania University of Braşov (2016 - ); Faculty of Technological Engineering (2004 - 2010); Faculty of Product Design and Environment (2010 - 2012, 2016 - ); Department of Product Design, Mechatronics and Environment (2016 - ) ; Project manager, administrative manager and financial manager for national research projects; Member in the national board of the Romanian Association for the Mechanisms and Machines Science - ARoTMM (2005 - 2013); Member in the scientific council of the technological & business incubator Products and Technologies for Sustainable Energy - ITA Pro-Energ (2005 - 2023)
Title of presentation: Influence of the Deformations in Bushings on the Dynamic Behaviour of the Vehicles’ Rear Axle Guidance Systems
Abstract: The work investigates the influence of the deformations in bushings on the dynamic behaviour of the rear axle guidance systems of vehicles, actually continuing a previous study in which the problem was approached from a static point of view. In the comparative analysis, there are considered two models for the joints (bushings) through which the bars of the guidance mechanism are connected to the adjacent parts (chassis and axle, respectively), namely spherical joints, which consider only the rotational movements, and flexible/compliant joints, which consider both linear and angular mobilities. The study, which is developed for the two structural types of guidance mechanisms (depending on their number of degrees of mobility), was conducted using the virtual prototyping package ADAMS of MSC Software.
Manager of ADDA Aerospace Private Company
University Politehnica of 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.
Assoc. Prof. Cicerone Laurenţiu POPA
Vice-Dean of the Faculty of Industrial Engineering and Robotics
University POLITEHNICA of Bucharest
Cicerone Laurentiu Popa is Associate Professor at University Politehnica of Bucharest, Faculty of Industrial Engineering and Robotics, with a PhD in Industrial Engineering. From 2020 he is Vice-Dean of the Faculty of Industrial Engineering and Robotics responsible with scientific research. He has published over 50 papers in scientific journals and conference proceedings. He was project manager in the project Selective waste collection integrated system for a smart city – SMARTCOLLECT (2016-2018) and participated as a researcher in over 12 research projects. Experience in projects or grants evaluation: Expert proposal evaluator for European Commission, Research Executive Agency (REA); Expert proposal evaluator for Romanian PNCDI (National Research, Development and Innovation Plan); Monitor for ROSE projects (Romania Secondary Education Project). Research topics: industrial engineering, waste management, material flow management, logistics, smart cities, Industry 4.0.
Title of presentation: Designing and developing an automated waste collection system for a smart city
Abstract: Nowadays, waste collection systems are partially automated, mainly only the collection of plastic& glass recipients and aluminium cans is somehow automated by using Reverse Vending Machines. Companies are looking for solutions to increase the collection level of various waste types by using new technologies and devices such as smart sensors, Internet of Things (IoT) and cloud platforms. The presentation will be focused on discussing solutions to increase the use of the system, to improve its productivity and its collected waste storage capacity and to find solutions to integrate the system into a smart city infrastructure. A fully automated integrated waste collection system will be analysed, a system able to separately collect different types of waste: plastic recipients, glass recipients, aluminium cans, WEEEs, paper and cardboard.
University Politehnica of Bucharest, Romania
Qualifications and studies: PhD Degree in Industrial Engineering (2000) MSc Degree in Strategic Management (1995) Bachelor of Science Degree in Machine Tools (1994) - 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: 2015, 2008, 2001,1995 in the Department of Robots and Manufacturing Systems (former Machines and Manufacturing Systems), Vice-dean (2012-2016) - Faculty of Engineering and Management of Technological Systems, POLITEHNICA University of Bucharest, (Romania). Experience and knowledge related to research and entrepreneurship: Manager of UPB-PREMINV Research Centre. Coordinator of MSc programme MANAGEMENT AND ENGINEERING FOR VIRTUAL INDUSTRIAL ENTERPRISES. Team member in more than 40 Research projects (4 as coordinator) and more than 100 scientific papers published in the field of: Industry 4.0, Discrete material flow management, Digital manufacturing, Waste management devices, Smart cities. Experience in projects or grants evaluation:Expert, Proposal evaluator for European Commission, Education, Audiovisual and Culture Executive Agency (EACEA), Expert proposal evaluator for The Central Finance and Contracting Agency of Latvia, Expert proposal evaluator for Romanian PNCDI (National Research, Development and Innovation Plan), Proposal Evaluator and Monitor for ROSE projects (Romania Secondary Education Project). Professional Journals Editorial board: Member in Editorial Advisory Board of International Journal of Simulation Modelling, Vienna, Austria, ISSN 1726-4529, Member in Editorial Board of Proceedings in manufacturing systems, Bucharest, Romania, ISSN 1842-3183.
Prof.Muhammad Ushaq - University from Islamabad
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: GNSS, Chronological Evolution, Modernization and Augmentat
Abstract: Global Navigation Satellite System (GNSS) has evolved into a revolutionary technology and has become the integral part of almost all aspects of modern life. Numerous daily life activities around the globe are deeply dependent on GNSS without being known to general public.
This presentation is meant to cover aspects starting from introductory concepts of navigation, types of navigation, satellite navigation system, and predecessor navigation systems prior to GPS (incl LORAN, Decca, Omega, TACAN, DME and TERCOM etc). We will cover the chronological development starting from launch of first Satellite Sputnik-I by former Soviet Union in 1957, the commencement of GPS Project in 1960s reaching to full operational capability in 1995 to contemporary modernization. We will briefly introduce the other GNSS systems including, GLONASS, BeiDou, Galileo and Regional Satellite Navigation System (IRNSS, NavIC and QZSS etc). Ground Based Differential GNSS and Space Based Augmented GNSS (like WAAS, EGNOS SDCM, SNAS, and CDGPS) will be introduced. Data fusion or Integration tools like Kalman Filter Algorithm and its variants will also be acquainted with. Information fusion techniques will follow the concept of Integration of GNSS with other Navigation Aids like Inertial Navigation System, Doppler Radar, Cellular Networks, Terrain Matching or Celestial Fixes.Presentation will conclude with the modern applications of GNSS and Integrated Navigation Systems. Some potential research projects for MS or PhD students will also be discussed.
Prof. Adrian Olaru
University Politehnica of 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: Influence of the position joints in the dynamic behavior of the robots by using the proper ROBO-PVAFM software platform
Abstract: After simulation of the neural network we can remark the following: •the time delay with the parameter d determines one general possibility to adjust the parameters; •it is necessary to respect the essential condition that d must be one odd number comparing with the next layer to assure the alternative oscillation near the target curve; •in the network with many time-delay, the delay parameter d2 must be odd number comparing with d1; •the reaction with time-delay applied with one weight matrix can determine the instability of the network solution. To eliminate some of these deficient of the researched neural network on propose one new structure of network what was analyzed in the paper (BSHTNN(TDRL)).
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.
Prof. Gabriel JIGA
Strength of Materials Department
Faculty of Industrial Engineering and Robotics
Head of the UPB ERASMUS desck
University POLITEHNICA of 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: Researches on the behavior of PLA sandwich structures, with different core configurations loaded in three points bending
Prof. Gabriel Frumusanu
University of Galati, Romania
Professor born in Galaţi, Romania, 28/09/1964. Bachelor (1988), PhD (1999, Thesis title: “Profiling of tools used for machining the bevel gears from precessional transmissions”), Habilitation (2016, Thesis title: “Optimal-Holistic-Integrated control of machine-process couple & New approaches in cutting tools profiling”) in Industrial Engineering at “Dunărea de Jos” University of Galaţi, Romania. Teaching assistant (1990-1994), Assistant professor (1994-2000), Associate professor (2000-2004). He is currently Professor at “Dunărea de Jos” University of Galaţi, Romania (since 2004), and head of the Manufacturing Engineering Department (since 2019). He published over 200 scientific articles, some of them in prestigious journals (International Journal of Advanced Manufacturing Technology, Indian Journal of Engineering and Material Sciences, International Journal of Mechanics, Materials and Manufacturing, International Journal of Modeling and Optimization). He owns 5 patents. PI in two scientific research teams and member in other 12. He participated at numerous international conferences (Spain, Hungary, Tunisia, Israel, Moldova and Romania). Research interests in machining systems control, machining process optimization, cutting tools profiling and environmental impact of the manufacturing process. Prof. Frumuşanu is member of UASTRO, ModTech Professional Association, AUIF, and of some editorial boards - Proceedings in Manufacturing Systems journal (Romanian Academy), The Annals of „Dunărea de Jos” University, Fascicle V.
Title of presentation: Manufacturing Performance Management
The manufacturing management plays an essential role in ensuring the required competitiveness on market. The main issue to be targeted by this activity is the manufacturing performance. This presentation concerns a new vision about manufacturing performance management, adapted to the context of Industry 4.0 era, and a solution to implement this matter. The new vision is based on the conceptual rebuilding of the manufacturing process. It operates with basic notions as the manufacturing sequence and the manufacturing task, defined in original manner, and looks towards the global performance as ultimate goal of manufacturing. Two problems are considered here in performance management: the assessment of the performance level, and the reaching of the desired performance level. The technique for solving the first problem deals with issues like reference and metrics, while the one for solving the second problem – with modeling and control.
Director Artificial Intelligence Center of Excellence
University of Islamabad
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 Center of Excellence in 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. He is currently adjunct professor at one of Pakistan's premier universities “Institute of Space Technology”. 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.
Honors and Awards: President's Gold Medal for securing 1st position in MS(CSE), 2006; Silver Medal for securing 2nd position in BE(CSE), 2004; 2nd Prize in Software Competition (SOFTCOM 03) held at GIKI, September, 2003; Awarded Full Scholarship for PhD/MS and Partial Scholarship for BE.
Research fields: Visual Navigation and intelligent transportation (Visual Odometry/SLAM); Convex optimization/Global optimization; Multi-modality data fusion.
Title of presentation: MLOP for production of AI systems; Reinforcement learning for autonomus vehicles
Prof. Rajender Singh Chhillar,
Deptt. of Computer Science & Applications,
Maharshi Dayanand University (MDU), Rohtak-124001, Haryana, India
Prof. Chhillar held academic and administrative positions as Head, Deptt. of Computer Science & Applications, Maharshi Dayanand University (MDU), Rohtak ( Three times ), Director, University Institute of Engineering & Technology( UIET), Director, University Computer Centre (UCC), Professor- Incharge, University Computer Centre, MDU, Rohtak.He was invited by International Association of Computer Applications, USA for key-note Speech in March 2018 and he delivered key-note speech in ISCA (University of San Fransisco, USA) 33rd International Conference on Computers And Their Applications (CATA 2018) held in Las Vegas, USA during March 19-21, 2018. He was also invited by International Association of Computer Science and Information Technology (IACSIT), Singapore and delivered keynote speech in many International conferences held in Paris, France, Hong Kong (thrice), China, Romania, Malaysia, Dubai (twice),Bangkok, Thailand (twice), Vietnam. During his foreign visits, Prof. Chhillar has visited many Universities including Stanford University, USA, and University of San Francisco, USA. He also won the best paper award in International Conference ICCEE- 2013 held in Paris, France during October 12-13, 2013. Prof. Rajender was conferred Fellow Award of University Association of Science and Technology of Romania (UASTRO), in 2016. He was also awarded LEAP 2019 award by MHRD, Govt. of India. Prof. Chhillar visited IISER Calcutta and Nanyang Technological University (NTU), Singapore as part of this award. He is also Director of Board, CMAI Asia Association, New Delhi and senior member of International Association of Computer Science and Information Technology (IACSIT), Singapore and life member of Computer Society of India. Professor Chhillar has been serving as Editorial Board Member, Guest Editor and Reviewer of multiple international journals, and serving as Program Committee Chair, Keynote Speaker and Session Chair of multiple international conferences. He also performs advisory work to Government agencies and academic bodies. He was nominated as Governor nominee to Academic council of J.C. Bose University of Science & Technology (YMCA) Faridabad by Governor of Haryana in August 2022. He is a member of Academic Council of Maharshi Dayanand University, Rohtak since 2003. He also served as a member of Executive Council of MDU from 2003 to 2006. He had been Chairman of Post-Graduate and Under-Graduate Board of Studies of Computer Science. He is also member, Faculty of Physical Sciences, MDU. His research interests include Artificial Intelligence, Machine Learning, Software Engineering, Software Testing, Software Metrics, Web Metrics, Bio Metrics, Data Warehouse and Data Mining, Computer Networking, and Software Design. He has published more than 100 journal and 65 conference papers over the last several years and has also written two books in the fields of Software Engineering and Information Technology.
Title of presentation: Optimised test data generation for detecting hidden and complex faults for large component based software projects using fusion of UML diagrams and genetic algorithm.
Abstract : The growing role and importance of software testing has led to design and development of new software testing techniques for all software development paradigms. Controlling and minimizing software complexity is the most important objective of each software development paradigm because it affects all other software quality attributes like reusability, reliability, testability, maintainability etc. For this purpose, a number of software testing techniques have been designed to report different types of faults based on complexity. In recent years, component-based software development (CBSD) has emerged an evolving paradigm where emphasis is to maximize reuse of code of existing components and effective designing of new components. As the development of component-based software is rising, more and more testing techniques are being developed for the same. The keynote speech focuses on a testing technique which reports hidden faults and generates optimized test data for a large software project by using UML diagrams and genetic algorithm. Test data is generated by fusion of three UML diagrams namely, activity diagram, sequence diagram and use-case diagram. Genetic algorithm is used to optimize the test cases/data. In this way, this technique generates optimized and better test data/cases based on wider coverage of software. By using this, we can improve the quality of software projects and can use testing resources more effectively. Therefore, this technique helps in development of good quality software and can be useful for software industry.
Prof. Victor Vladareanu- scientific manager of Institute of Solid Mechanics,
Scientific Researcher, Institute of Solid Mechanics of the Romanian Academy, Bucharest (Romania) , Robotics and Mechatronic Systems, Artificial Intelligence. Simulation and implementation of innovative solutions, Scientific Director, Institute of Solid Mechanics of the Romanian Academy, Bucharest (Romania), Politehnica University, Bucharest (Romania), Research and Documentation in Engineering Sciences, Artificial Intelligence and Robotics. Developing complex automations by using Programmable Logical Controllers (PLC) and SCADA structures. Design and implementation of Building Automation System solutions (BMS/HVAC). Also responsible for programming and system integration. Ph.D. Politehnica University, Bucharest (Romania) Intelligent Control of Mobile Robots, Newcastle University, Newcastle (United Kingdom) Automation and Control.
Title of presentation: Cobot Workflow using ROS and image processing for the VIPRO Platform
Abstract: The paper presents the workflow of a UR3 cobot working in an automated industrial environment, integrated into the VIPRO platform. The application is based on a combination of independent ROS nodes, that take advantage of VIPRO Intelligent Interfaces and extended ROS packages. The results are shown simultaneously in a real setting and the Gazebo virtual environment, maintaining compatibility with VIPRO principles and development.
Prof. Luige Vladareanu
Institute of Solid Mechanics
Professor , Senior science researcher of the Romanian Academy, Institute Solid Mechanics, Bucharest, since 1990. From 2003, Ministry of Education and Research, executive Department for Financing Superior Education and of Scientific University Research - High Level Expert Consulting for MEC/CNCSIS project, from 2003-2005, member of Engineering Science Committee of Romanian National Research Council, from 2005, Scientific Researcher Gr.I of the Romanian Academy, from 2009 Head of Robotics and Mechatronics Department of Institute of Solid Mechanics, Romanian Academy, Director of the Technological Transfer Center from 2020 . Director and coordinator of over 15 grants of international and national research – development programs in the last 5 years, 15 invention patents, developing 17 advanced work methods resulting from applicative research activities and more 60 research projects. He is the winner of the two Prize and Gold of Excellence in Research 2000, SIR 2000, of the Romanian Government and the Agency for Science, Technology and Innovation. 9 International Invention and Innovation Competition Awards and Gold of World’s Exhibition of Inventions, Geneva 2007 - 2009, and other 9 International Invention Awards and Gold of the Brussels, Zagreb, Bucharest International Exhibition. He received “TraianVuia” (2006) award of the Romanian Academy, Romania’s highest scientific research forum. He is a Corresponding Member of the American Romanian Academy and he is a member of the International Institute of Acoustics and Vibration (IIAV), Auburn University, USA (2006), ABI ́s Research Board of Advisors, American Biographical Institute (2006), World Scientific and Engineering Academy Society, WSEAS (2005), International Association for Modelling and Simulation Techniques in Enterprises - AMSE, France (2004), National Research Council from Romania(2003-2005), etc. He is a PhD advisor in the field of mechanical engineering at the Romanian Academy. He was an organizer of several international conferences such as the General Chair of four WSEAS International Conferences (http://www.wseas.org/conferences/ 2008/romania/amta/index.html), chaired Plenary Lectures to Houston 2009, Harvard, Boston 2010 and Penang, Malaysia 2010, Paris 2011, Florence 2014, Tenerife 2015 to the WSEAS International Conferences, and is serving on various other conferences and academic societies, Vice President ICCMIT 2017, Warsaw, Special-session chair ICCMIT 2017, Warsaw, ICCMIT 2015, Prague, ICAMechS 2012- 2016, Tokyo, Beijing, Melbourne, Editors-in-Chief of the Proceedings of the SISOM 2007-2016, under the Romanian Academy's aegis, member of the Sensors Editorial Board since 2020, Guest Editor of Sensors to the Special Issues 2019, 2021 and 2022 with 39 manuscripts (IF 3,847 each).
Title of presentation: Human-Robot Interaction for Rehabilitation Robots using Multi-Sensor Systems.
Abstract. The research on cutting-edge technologies of rehabilitation robots (RhR) aimed at the improved mechatronic device for lower limb rehabilitation of patients, elderly or disabled persons is presented. This new technology consists in the conception and development of the HRI (Human-Robot Interaction) RhR mechanical components and intelligent interfaces including dynamic modelling, the patient’s participation for the motion intention intelligent detection of the RhR, correlated with advanced intelligent control interaction between human/patient and robot by recognizing the patient's emotion and attitude with HRI for to improve the patient’s training initiative and accelerate the rehabilitation process. An active triggering control system based on the patient's hand movement trend and detection of human-robot communication anomalies to improve the efficiency of the patient motion intention are other interfaces for human-robot interaction. All of this will be designed for industrial production and adapted to the perceptual interface for Intelligent Cyber Enterprises.The control system architecture is presented in correlation with the control strategy which contains three real-time control loops: balance robot control, walking diagram control and predictable movement control. The remote control and e-learning software with the possibility of access throughout the internet as a web application within an international academic network is developed. For the fusion of information received from various sensors, information that can be conflicting to a certain degree, the robot uses fuzzy and neutrosophic logic. In rehabilitation training for stroke patients, the rehabilitation effect is positively affected by how much physical activity the patients participate in. A multi-sensor system robot with torque and 6-dimensional force sensors was designed to gauge the patients' participation in training. Participation models with three intensities were developed offline using support vector machines, for which the C and σ parameters are optimized by the hybrid quantum particle swarm optimization and support vector machines (Hybrid QPSO-SVM) algorithm. Using the impedance model, the auxiliary force training mode is established, and the difficulty of the target task is changed by adjusting the K value of auxiliary force.Are determined and presented, the experimental results for Human-computer interaction of six- dimensional force acquisition under the training task, terminal force during difficult tasks training, training data under different task difficulties and comparison between task difficulty prediction and real test group. The end results advance the state of the art in the field by implementing intelligent algorithms, detection of patient participation, the detection of movement intention, Human-Robot Interaction and control techniques for Rehabilitation Robots.
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: Electro-optical neural networks and applications
Spiking neural networks (SNN) represent the most suitable method to model the functions of different areas in the brain because spiking neurons mimic rigorously the physiology of the biological neurons. The response of spiking neural networks is faster when neurons are implemented in analogue hardware because the electronic circuits have the main advantages of the natural neurons such as full parallel operation and information transmission. Typically, the communications between spiking neurons is performed using discrete stimuli, where the intensity of the postsynaptic response depends on the synaptic weights. Implementing the optical connections in SNN enable parallel transmission of multiple wavelengths between neurons. Optical neural networks (ONN) offer a number of features including (i) increased computational power of the neuromorphic hardware; (ii) high processing speed and energy efficiency due to photonics; (iii) the use of the license-free optical spectrum and (iv) lower crosstalk and immunity to radio-frequency induced electromagnetic interference.
Assoc.prof. Mircea Hulea
Gheorghe Asachi Technical University of Iasi, Romania
Dr. Sajid Baloch did his bachelor's degree from UET Lahore in 'Electrical Engineering'. He did his Masters and PhD from one of the top universities of UK in electrical engineering. He has 15+ years of Postdoctoral experience and his specialization is in the area of IC Design and Artificial Intelligence. He won “Epson Prize UK” for his extra ordinary achievements. Based on his excellent academic achievements, he was selected to work with NASA during his PhD. Due to his excellence of work in the field of electronics, he is awarded “Sitara-i-Imtiaz” and “Tagma-i-Imtiaz”. Currently, he is working in a government sector at National Electronic Complex of Pakistan (NECOP) as General Director.
Title of presentation: Applications of Artificial Intelligence in the field of Medicines
Abstract: Artificial Intelligence (AI) has revolutionized the field of medicine in recent years. With the abundance of data available, AI has the potential to improve clinical decision-making, patient outcomes, and the overall quality of care. One area where AI has shown great potential is in the detection of abnormalities in X-ray images. AI algorithms can analyze X-ray images to detect subtle changes that may indicate the presence of disease, such as Covid, lung cancer, fractures, and pneumonia. By detecting these changes early, physicians can diagnose and treat these conditions before they become more severe, improving patient outcomes. One of the key advantages of AI-based X-ray image detection is that it can help reduce the workload of radiologists and healthcare professionals. With the growing number of patients and the increasing demand for medical imaging, radiologists often face a heavy workload, leading to fatigue and potential errors. By using AI-based systems, healthcare professionals can receive support in the diagnosis process, leading to more accurate and timely diagnoses. This talk will cover one important challenge, that is the need for high-quality training data to develop accurate AI algorithms. As AI algorithms learn from past data, the quality and quantity of training data can significantly impact the accuracy of the algorithm. AI algorithms can analyze medical images to detect abnormalities that might be missed by human clinicians, making diagnoses more accurate and efficient. Additionally, AI can help radiologists prioritize and triage cases, reducing wait times for patients. Furthermore, AI can improve patient outcomes by personalizing treatment plans based on a patient's unique characteristics, such as genetics, radiometric features, medical history, and lifestyle. Our team has developed Pakistan’s first AI solution for medical imaging approved from Drug Regularity Authority of Pakistan (DRAP) and Pakistan Engineering Council (PEC).
General Director prof. Salid Baloch
National Electronic Complex of Pakistan (NECOP)
Yildiz Technical University, Istanbul, Turkey
Professor Seref Engin is head of department Yildiz Technical University, Electrical & Electronics Engineering Faculty, Control & Automation Engineering Department 34220 Davutpasa, Istanbul, Turkey, He was a head of some projects: Digitalisation and Innovation in the European Food Industry (DIEFI), 2023 –now; Artificial Intelligence Supported Autonomous UAV Based Hybrid Highway; Safety Management System 2023 –; Design and Development of Vision and Artificial Intelligence Based Landing; System for Rotary Wing Unmanned Aerial Vehicles 2019 – 2021; Remotely Monitored Smart Electronic Seal 2020 – 2022; Development of a Watershed Information System 2016 – 2019. He teach the following courses: Introduction to Control and Automation Engineering (Undergrad); System Dynamics and Control (Undergrad)Control Systems (Undergrad); Design of Control Systems (Undergrad); Electrical & Electronics Circuits (Undergrad); Discrete-Time Control Systems (Undergrad); Design of Digital Control Systems (Grad); System Analysis and Signal Processing (Grad).
Title of presentation:Enhancing Highway Safety with an Autonomous Unmanned Air Vehicle (UAV) Event Detection System
Abstract: Safe and efficient transportation is a critical issue in modern times. As cities become more crowded, the growing traffic is an ever-present challenge, particularly in densely populated areas where it affects the quality of human life. The increasing population and individual vehicle ownership lead to a surge in traffic density, resulting in higher time loss for travelers, environmental pollution and risk of traffic accidents. As stated, traffic density is not only a major inconvenience but also a significant risk factor that reduces the quality of life and increases the chances of accidents. Controlling the flow of traffic is a challenging task due to its complexities and uncertainties. Despite these challenges, advances in technology have provided potential solutions to this issue. Recent developments in air vehicles and Artificial Intelligence-based computer vision techniques making use of deep learning approaches offer a promising future to reduce the problem's impact and improve safety on the roads. One crucial aspect of highway safety is patrolling intercity roads, which requires monitoring the roads for any unusual events, such as stopped vehicles, objects on the road, and accidents. However, this process can be labor-intensive and time-consuming, making it challenging to guarantee sufficient safety. To address this issue, fixed cameras have been placed on the roads at specific intervals, which can capture visual data to detect any unusual events. These cameras help to increase situational awareness and improve safety for travelers. In this talk, we will present the state-of-the-art in event detection on roads and discuss the most recent techniques for collecting visual data by means of UAV cameras. Autonomous Unmanned Air Vehicles (UAVs) involve an emerging technology that could play a vital role in event detection on intercity motorways. UAVs can move freely over the road network, detecting and monitoring any unusual events more effectively and efficiently than fixed cameras. We will also present the most popular event detection methods and share the initial results of example event detection scenarios, highlighting the benefits of using UAVs. Finally, we will outline the future projection of the project, including the use of swarm drones to further enhance highway safety. Swarm drones constitute a more sophisticated and robust system that can perform a variety of tasks. For example, they can work together to collect data on traffic flow, detect road hazards, and provide real-time monitoring of any unusual events on the roads. By leveraging advanced technologies such as UAVs, swarm drones and AI-based decision support systems, we can ensure that intercity motorways remain safe, efficient, and environmentally friendly for all travelers and the people living in the area.
Yıldız Technical University, Istanbul, Turkey
Guleda Engin completed her undergraduate education in 1992 at Dokuz Eylul University in the Department of Environmental Engineering. She received a scholarship from the Ministry of National Education to study abroad. After completing her MPhil thesis at the University of Hertfordshire, Department of Civil Engineering in 1997, she started her PhD studies at Imperial College, Department of Chemical and Process Engineering and received her doctorate degree in 2000. Guleda Engin, joined the Environmental Engineering Department, Gebze Technical University (formerly known as Gebze Institute of Technology) in March 2001, and promoted as an associate professor in November 2005. In 2012, she has joined the Department of Environmental Engineering at Yildiz Technical University. She involved in many national and international projects including EU supported projects. Her research interests include wastewater treatment using membrane technologies, micropollutant removal, microplastic detection and characterization, and watershed information systems and climate change adaptation and mitigation. Guleda Engin has participated in over 60 national and international conferences and published more than 70 papers in indexed journals. She is currently the Head of the Department of Environmental Engineering at Yıldız Technical University.
Title of presentation: Nanowaste Management- Challenges and Solutions for a Sustainable Future
Abstract: Environmental nanotechnology has emerged as a key solution to tackle environmental problems. Nanostructured materials have unique characteristics that effectively treat pollution from various environmental sources, including air, water, and soil. By intervening in manufacturing processes, nanotechnology has the potential to reduce greenhouse gas emissions, hazardous waste generation, and save energy, water, and raw materials. However, the widespread use of engineered nanoparticles in various products has led to the release of these particles into the environment, causing a new type of waste known as nanowaste. Despite the numerous benefits of nanotechnology, the unintended negative consequences associated with its utilization have not been adequately addressed. This paper aims to provide a comprehensive overview of the advantages of nanotechnology whilst also examining the issues surrounding the generation of nanowaste. Additionally, the challenges and gaps in the management of nanowaste will be discussed, emphasizing the critical need for prompt action.
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.