ROBOTMEET2023

Dr.EL GHAZOUANI Mohamed is working as Professor at the Polydisciplinary Faculty of Sidi Bennour Chouaib Doukkali University, Morocco. He has completed his doctoral degree in the area of Cloud Computing Security, Department of Computer Science, Faculty of Science Semlalia, Cadi Ayyad University, Marrakesh, Morocco. He has rich experience of 14+ years in the area of academics and administration. He is the author of numerous publications related to the area of interest that includes Cloud Computing Security, Machine Learning, Big Data and Blockchain. He is a member of reviewing committees of various national and International journals.

Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA in 1985, 1987 and 1990, respectively. He is currently a Professor of Machine Learning and the Associate Provost at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, Internet of Things (IoT), intelligent autonomous systems, smart city, and cybersecurity. He was elevated to the IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well five Best Paper Awards from ICC and Globecom Conferences. He is the author of ten books and more than 800 publications. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.

Dr. Sachin M. Narangale is an Assistant Professor in the School of Media Studies, Swami Ramanand Teerth Marathwada University since Feb. 2009 and he is HOD Head of the Department of Electronic Media. He was born on 20th August 1980. He received his B.Sc. with Physics, Electronics and Computer Science and has University Rank third in MCA (Master of Computer Applications in 2004). He has done his Doctoral degree in Computer Science with the title “Effective Multimedia Presentation Application for Communication in Journalism”. He has worked with DSRM Embedded Technologies (Inc. 500 listed, CMM Level 3, US based company) as a Software Engineer. He is Research Supervisor in the subject of Computer Science and Applications and Mass Communication and Journalism. He has completed one research project “De-addiction of society through electronic media”. He has published a book entitled “Multimedia Communication; Production, Programming and Presentation”. He is a member of the Board of Studies for designing curriculum. He is Technical Nodal Officer for National Knowledge Network of Swami Ramanand Teerth Marathwada University. His research interests include Multimedia Communication, Software development, Systems design; Integration and Implementation, Client/Server and Web based n-tier architecture systems and Embedded systems. He has visited Hong-Kong. He is personally interested in team efforts; he offers services in the alumni activities.

Seyed matin malakouti I received my bachelor's degree from Isfahan University of Technology in the field of electricity in 2019 and my master's degree from Tabriz University in the field of electrical control in 2022. I am active and interested in learning in my field and other fields. I am very interested in helping to save human life and living creatures, so I started learning deep and machine learning algorithms so that I can help save human life by writing programs in different fields.I have written many articles about wind turbines because I believe that all countries should use renewable energy in the not-too-distant future to prevent global warming. I have also written articles about the emission of greenhouse gases to show that human life and the environment are in danger and that renewable energies should replace fossil fuels as soon as possible.

Rosette Niyirora is now a Masters student in the department of civil engineering, Lanzhou Jiaotong University, China. My research interest is mainly on application of Artificial intelligence and machine learning in detecting damage in to civil engineering structures. I received the B.S. degree in civil engineering from University of Rwanda, Kigali, Rwanda in 2018. I received the recognition and honorary membership from Organization for Women in Science for the Developing world. I am the author of numerous publications related to the area of interest that includes Artificial intelligence, Machine Learning and Big Data. I have published 7 research articles in reputed SCI and Scopus indexed journals.

Post Doctoral Student in applied neuroscience at the USJ University in Macau, China. Phd in Applied Informatics degree from the University of Fortaleza. Artificial Intelligence researcher over the last 6 years. AI IT Internal Control Auditor of the Controllership and General Ombudsman of the State of Ceará, was researcher at the School of Public Health of the State of Ceará, Data Scientist at Stratio (Lisbon, Portugal), leader of Artificial Intelligence at the Secretary of Health of the State of Ceará, and Adjunct Professor at the Federal University of Ceará. Bachelor of Informatics degree from the University of Fortaleza

Completed his B.Sc. in Electrical Engineering from University of Tikrit, Iraq in 2010, M.Eng. in Telecommunication Systems from University Technical Malaysia Melaka (UTeM), Malaysia in 2013 and PhD in Computer Networks & Wireless from Faculty of Engineering, University of Malaya (UM), Malaysia in 2020. He is currently a Postdoctoral Research Fellow in the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia. His research interest mainly includes Computer Networks, AI, Machine & Deep Learning, Telecommunication Networks, UAV, IoT, WSN, Game Theory, Cloud Networks.

Dr. Vijay Kumar Dalla is Assistant Professor in the Department of Mechanical Engineering. at NIT Jamshedpur. His areas of interests are robotics, dynamics, and control. Before joining NIT Jamshedpur, he has been associated with 6 various institutes at different cities. He was associated with two BRNS Projects during his SeniorResearch Fellowship at IIT Bombay after his MTech in Materials Science from IIT Bombay in 2008. He pursued his PhD from IIT Roorkee in Robotics in the year 2016. He completed Bachelor of Engineering (B.E.)in Mechanical Engineering from Government. College Bilaspur, Chhattisgarh, in 2006. He has 7 years learning exposure of two IITs and 9 years teaching exposures. His teaching interests are robotics & automation kinematics, dynamics and control of mechanical systems, AI in robotics; machine learning in mechanical engineering; smart materials. His research areas are space robotics, dynamics, and control. Other than his robotics learning, he has also practical exposure of fracture mechanics, materials science, and ceramic powder processing.

Dr Asif Khan (Member, IEEE)received the B.Sc. (Hons.) andM.C.A. (Master of Computer Scienceand Application) degrees from Aligarh Muslim University, India, and the Ph.D. degree (Hons.) in computer science and technology from the University of Electronic Science and Technology of China (UESTC), China, in 2016. He was an AdjunctFaculty with the University of Bridgeport, USA, for China Program in summer 2016. Previously, He was a Visiting Scholar for Big data Mining and Application at the Chongqing Institute of Green and Intelligent Technology (CIGIT), Chinese Academy of Sciences, Chongqing, China. He done Postdoctoral Scientific Research Fellow with UESTC. He is also holding a position of Assistant Professor with Integral University,India. He is a Contributor to many international journals with robotics and vision analyses about the contemporary world in his articles. His interests include machine learning, robotics vision, and new ideas regarding vision-based information critical theoretical research. He awarded by UESTC Academic Achievement Award and Excellent Performance Award, from2015 to 2016.

Pride of Knowledge Award 2021,Int Icon 2021Award,Indian Achiever Award2021+2022,Honorary PHD2021 ,Excellence Award EDU2021+2022,Awarded Intellects 2021, Admirable S Awards 2021,INT Award for Peace Books 2020,Int peace HR EgyChair,GGA,President of SCR-Afr,Mr. Assem Moussa,2015 Bristol PHD, Global Good Will Ambassador, USA,Global Ambassador for Peace and Human Rights, Chairman for peace and HR CHIEF ENG EGYPTAIR.Egypt

Prof. Raja Sarath Kumar Boddu presently working as a Professor, Faculty of Computer Science and Principal at Lenora College of Engineering with 21 years of experience in Engineering Education. Dr. Boddu has authored 5 books in Computer Science and published 50 research papers and invented 7 Computer Science patents so far. Dr. Boddu did,Post Graduate Certificate in Business Administration from IIM-Visakhapatnamin Business Administration, Ph.D. and Master’s from Andhra University in Computer Science, Visakhapatnam, India. Dr. Boddu has supervised 16 PG and 10 groups of UG dissertations and aspeaker at international conferences and travelled to 4 countries on research work. Dr. Boddu’s general research areas Artificial Intelligence, Machine Learning, Deep Learning, Data Science and Big Data. Further, Dr. Boddu is a Fellow of IEI(India), Senior Member of IEEE and ACM, and Life Member of IETE, ISCA and CSI. Dr. Boddu serves as a reviewer for Springer’s Journal of Supercomputing, IEI Springers journals and IEEE access.

I did Ph.D. in Computer Science and Engineering from National Institute of Technology Hamirpur, HP, India. His primary research interests are the Internet of Things, IoHT, Wearable-WSN, and Adhoc Networks. He has published a few research papers in the relevant research areas. Previously, he served as an Assistant Professor and Mentor for the Digital Logic Design course in the AKTU MOOCs program. He has also reviewed papers for some IEEE conferences.

Amitoj Singh is an Associate Professor at the Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. He received Ph.D (Computer Science) from Punjabi University Patiala, in 2013 and a Master of Computer Application (MCA) with Distinction from Punjabi University Patiala. With over 17 years of experience in teaching/research and authored more than 50 research articles in the field of Machine Learning, Software engineering models, and speech recognition. He has a keen interest in developing assistive technologies for differently abled children and was invited by UN to the final events for the #Connect2Effect hackathon at the Headquarters of the United Nations in New York, NY, USA.

Muhammad Khan (PhD) is currently working as a faculty in Abdul Wali Khan University Mardan, Pakistan,Timergara campus with additional charge as head of the Management Sciences Department and senior proctor of the campus. He is affiliated with AWKUM since 2011. He has served in various campuses andin various administrative positions of the university. He has obtained a PhDdegree in Marketing fromYeungnam University South Korea in 2019. Before doctorate, he obtained MS degree in Marketing form Irish American University, Ireland in 2011 and a Post Graduate diploma in Management 2008, from institute of commercial management UK. His research interests include humanitarian logistics,humanitarian supply chain, and supply chain and logistics. He has coauthored over 44 research articles, in leading international journals, including IEEE Access, Sustainability, Logistics, Cogent Business and Management, Cogent Educations, Journal of Humanitarian Logistics and Supply Chain Management, International journal of innovation, creativity and change and the International Journal of Supply Chain Management. He has more than 300 google scholar citation. He attended several international conferences. He has been an Invited Speaker in many conferences. Also, he is on editorial and reviewer boards in different journals of supply chain and business administration. He has launched his own journal in the field of social sciences. He is a Ph.D. Supervisor nominated by the Higher Education Commission (HEC) of Pakistan and reviewed several project proposals for HEC in the field, also he reviewed more than 50 articles for journal in high repute.

Deva Hema.Dis a Assistant Professor in Department of Computer Science Engineering at SRM Institute of Science and Technology,Chennai. She has around fourteen years of experience in the field of teaching. Her teaching interests are Data Structure and Algorithms, Computer Network, Data Science, Programming languages and Artificial Intelligence. Her research interests are Artificial Intelligence, Computer vision, Deep learning and Intelligent Transportation System. She has published several papers in national and international journals. Implemented several deep learning model using python. Currently working on optimization of deep learning model for Autonomous Vehicles.She serves as a reviewer on several reputed journal.

Ghada M. Awada, a holder of a Ph.D. in Applied Linguistics and a Ph.D. in Public International Law and Diplomacy. Strong advocate of innovation and tolerance in Education. Founder of Gloria Academy:www.gloria-academy.com A Fulbright Scholar at North Carolina State University (NCSU-2016). The first female recipient of the AUB -REP Excellence Service Award (2018-2019), recipient of the LAU CEP Excellence Award (2014) and recipient of Lebanon’s RSSC army Awards (2017, 2018, 2020).Dr. Ghada Awada, acted as Prime Minister Education Advisor, UNESCO and World Bank consultant, international arbitrator, and a faculty member at the Lebanese American University. An author of 93 publications focused on Human Rights Education (HRE), peace education, crisis management, arbitration, CT and artificial intelligence, Cooperative Learning, Intercultural Communication, Global Citizenship Education (GCED), curriculum reform and teacher education emerging issues.

Dr. Zhao Zhang received the Ph.D. degree from City University of Hong Kong in 2013. He is now a Professor at the School of Computer and Information, Hefei University of Technology, Hefei, China. He was a Visiting Research Engineer at National University of Singapore, from Feb to May 2012. He then visited the National Laboratory of Pattern Recognition at Chinese Academy of Sciences, from Sep to Dec 2012. His research interests include Machine Learning, Computer Vision and Pattern Recognition. He has authored/co-authored more than 110 technical papers published at prestigious journals and conferences, including 42 IJCV or IEEE/ACM Transactions regular papers and 36 Top-tier conference papers (e.g., CVPR, NeurIPS, ACM MM, ICLR, AAAI and IJCAI), with Google Scholar citations over 4,300 times and H-index 39. He is serving/served as an Associate Editor (AE) of IEEE Transactions on Image Processing (IEEE TIP), IEEE Transactions on Big Data (IEEE TBD), Pattern Recognition (PR) and Neural Networks (NN); also served as a Managing Guest Editor (MGE) for Journal of Visual Communication and Image Representation (JVCI), Image and Vision Computing (IVC). He is serving/served as a SPC member/Area Chair for ACM MM, AAAI, IJCAI, SDM and BMVC, a Program Co-Chair for CCVPR 2022, NCAA 2020 and DSDE 2023~2021, a General Co-Chair for ASIP 2023, NCAA 2022~2021, and a Workshop Chair for ADMA 2020. He is a Distinguished Member of the CCF, and a Senior Member of the IEEE.

Dr. Muskaan Singh is a Lecturer in Data Analytics at the Intelligent Systems Research Centre (ISRC), within the School of Computing, Engineering and Intelligent Systems, Ulster University (UU) and a member of the cognitive analytics research center (CARL). She also serves as a head of research for Center for Data Science and Artificial Intelligence(CDSAI), Indian Institute of Information Technology, Lucknow, India. Her research interest is centered around Natural language Processing, which includes everything from artificial intelligence, machine learning, deep learning, intelligent systems, with a particular focus on practical applications. She has worked on various projects in collaboration with industry and academia ranging from industrial projects to the EU-funded H2020 research framework. She has published at prestigious venues (A* and A-ranked conferences) high-impact conferences/Journals in the domain of NLP/ML for Machine Translation, Text/Dialogue Summarization, Sentiment Analysis, Social Media Analytics, Scientific Document Processing and Financial/ Forensic Sciences. Before joining UU, Dr. Muskaan was working in Speech and Audio Processing Group, IDIAP Research Institute, Switzerland with affiliation to EPFL and Institute of Formal and Applied Linguistics at Charles University, Czech Republic. She also was involved in a data analytics project with UU and AllState In, for IT Incident Severity Prediction Framework supported by UK Research and Innovation Turing AI Fellowship funded by the Engineering and Physical Sciences Research Council.

Bappadittya Royis a Senior Assistant Professor in the School of Electronics Engineering, Vellore Institute of Technology, Amaravati Campus and Senior Member of IEEE. He obtained his Ph.D. degree in 2018 from the Department of Electronics and Communication Engineering at the National Institute of Technology, Durgapur, West Bengal, India. He has several indexed publications including articles in reputed journals, conferences, books and book chapters also been involved in a few reputed IEEE international conferences and seminars as an organized committee member. His research areas are Microstrip Antennas, Fractal Antennas and AI. He is the Organizing General Chair of IEEE AISP 2022 and upcoming AISP 2023. He has also served as a reviewer for several journals such as Frontiers in Robotics and AI, Micromachines etc.

ALIEV FIKRET–He graduatedAzerbaijan State University (now Baku State University)in 1971.In 1975he defended his PhD dissertationin the Institute of Mathematics of Academy of Sciences of Ukraine (Kiev). . Since 1975 till 1992 he worked in positions of the junior, senior researchers in the Institute of Mathematics and Mechanics of Academy of Sciences of Azerbaijan. In 1990 he defended doctor degree dissertationin All Union Scientific Research Institute of Technical Information in Moscow. In 1992-1993he was professor of Istanbul Technical University (Turkey). From 1993 to the present day he works in a positions of the director of Scientific Research Institute of Applied Mathematics. In 1993 he became a member of American Mathematical Society. From 1996 he is a member of World Computer Association.From 1997 he is a member of Academy of Sciences of New York.He is academician of National Academy of Sciences Azerbaijan.He is Editor-in-Chief of the International Journals “- Applied and Computational Mathematics” and “Turkic World Mathematical Society (TWMS) Journal of Pure and Applied Mathematics”. He was organizer of the “8th International Conference on Control and Optimization with Industrial Applications” which was held in Baku (24-26 August, 2022).His research interests are optimal control theory, mathematical modeling, fractional order differential equations, numerical analysis.

I Dr. M. Jagadeeswari was born on 1989. I graduated in Mathematics from Vellalar College for Women, Erode in 2009, M. Sc in Mathematics from Kongu Arts and Science College, Erode in 2012, M. Phil in Mathematics from Sri Vasavi College, Erode in 2015. I worked as Lecturer and Assistant Professor at Erode Kongu College of Polytechnic, Sri Vasavi College, Erode respectively. I have been awarded a Rajiv Gandhi National Fellowship by University Grants Commission during my M. Phil program. Then I defended my Ph. D in 2021 at National Institute of Technology, Tiruchirappalli. Since 2021 I am working as an Assistant Professor at National Institute of Technology, Calicut, Maulana Azad National Institute of Technology, Bhopal, Vellore Institute of Technolgy, Vellore. I have published seven research articles in SCI, SCIE, Scopus indexed journals and one under process. I am serving as a reviewer for seven international SCI, SCIE, ESCI journals. I have taught several courses such as algebra, calculus, allied mathematics, business mathematics, discrete mathematics, basic statistics, mathematics for data science. Fields of research interest: Fuzzy mathematical modelling, fuzzy logic and its applications, techniques, neutrosophic set theory, fuzzy optimization, fuzzy graphs.

Ahmed G. Gad received the B.Sc. (Hons.) degree from the Faculty of Computers and Information, Mansoura University, Mansoura, Egypt, in 2013. Since 2017, he has been a full-time Teaching Assistant of Information Technology with the Faculty of Computers and Information, Kafrelsheikh University, Kafrelsheikh, Egypt. His current major research interests span Meta-heuristics, Optimization, Machine Learning, Data mining, Cloud Computing, Scheduling, and Blockchain

I am Dr Jay B. Teraiya, Working as an Assistant Professor in National Forensic Science University of India. My research area is on Scheduling Optimization, Nature Inspired Algorithms, Real-Time systems, NLP and Software Engineering.PhD in Computer Science and Engineering -The M. S. University of Baroda, Gujarat, India M.S. in Software Engineering from BITS – Pilani, Rajasthan, India B.E. in Computer Engineering from G H Patel College of Engineering and Technology – V.V.Nagar, Gujarat, India Diploma In Computer Engineering –Technical Education Board, Gujarat, India

Junius Anjana is currently a postdoctoral fellow at Monash University, Australia. He received the M.Sc Masters degree and Ph.D. Doctorate from Monash University in Information Technology, specialisation in Artificial Intelligence. Junius has published his PhD multidisciplinary research based on artificial intelligence and cognitive computational psychology in Q1 Top 10% and Top 1% journals under 'Educational Technology' research domain, indexed in reputed research intelligence databases (JCI, SCI, Scopus, Google Scholar). His areas of expertise and interest are: affective computing, artificial intelligence, deep learning, education technology, emotion recognition, gamification, machine learning, natural language processing, schema theory, and video-based learning. Junius also serves as a reviewer in an Elsevier Gold Standard Open Access Q1 journal.

Nalini. T is a Professor in the Department of Computer Science and Engineering at Dr. MGR Educational and Research Institute, Chennai. She has received MTech and PhD degree in Computer Science and Engineering from the Bharath Institute of Higher Education and Research. She has around twenty two years of experience in the field of teaching. Her teaching interests are Data Structure and Algorithms, Data warehousing and data mining, Data Science, and machine learning.She has published several indexed publications including articles in reputed journals, conferences, books and book chapters also been involved in a few reputed IEEE international conferences and seminars as an organized committee member. She has received 8 patents and worked on consultancy projects. She has life member of IEEE ,international Association of Academic Plus Corporate(IAAC),IAENG Society of Artificial Intelligence,SCIENCE AND ENGINEERING INSTITUTE,IAENG Society of Computer Science,IAENG Society of Data Mining,IAENG Society of Software Engineering,Indian society of Technical Education,The society of Digital information and wireless communication(SDIWC),Computer Science Teachers Association. She has received Radha Krishnan Gold Medal National Award for individual outstanding achievement and the International Researcher Award by the International Institute of Organized Research (I2OR). She has produced many research scholar and panel expert member for many universities. She has also served as a reviewer for several journals such as Measure Sensors ,Applied Soft Computing, Journal of Ambient Intelligence and Humanized Computing, Scientia Iranica, etc. And she has attended programs in the Universiti Teknologi of Petronas in Malaysia.

Dr. Muralidhar Kurni is an Associate Professor in the Computer Science & Engineering Department at the Anantha Lakshmi Institute of Technology and Sciences, Ananthapuramu, India. He received his Ph.D. in Computer Science and Engineering from JNTUA, Ananthapuram, India, in 2021. He is a senior member of IEEE and a professional member of ACM. Previously, he worked as an Assistant Professor at the Department of Computer Science, GITAM (Deemed to be University), Hyderabad, India. He has more than 23 years of teaching experience. He is the author of books on Learning analytics and Pedagogy for the digital generation, published by Springer, and editor of the book on Design Thinking, published by CRC Press. His research interests include Education Robotics, Learning Analytics, Learning Strategies, Digital Pedagogy, Design Thinking, Pedagogy refinement & Engineering Education Research.

Dr. Tejinder Pal Singh Brar is working as Head and Professor, Department of Computer Applications,CGC-Landran, Mohali (Punjab). He has completed his doctoral degree in the area of Security in E- Transactions. He holds a master's degree and bachelor’s degree in the area of Computer Applications. He has also successfully completed Microsoft certifications such as MCP, MCSE, MCSA, MCDBA and MCTS. He has presented more than 23 research papers at national and international conferences and published 27 research papers in national and international journals of repute. He has rich experience of 17+ years in the area of academics and administration. His area of interest includes Data Analytics, Digital Marketing, Information security. He is a member of reviewing committees of various national and International journals including Premier Publishers, IGI-Global, Emerald and Springer.

A Doctorate in the subject of Computer Science with the study area in Software Engineering from Guru Jambheshwar University, Hisar. She is also a Gold Medalist in M.Sc. Computer Science. She is having a strong inclination towards academics and research. She has 17+ yrs of academic, research and administrative experiences. She has published more than 40 research papers in reputed International/ National journal and conferences. She is also having publication in SCI indexed journal. Her research interests include software Quality, soft computing, and Software metrics and Component Based Software Development , Data Mining, IOT. Presently she is working as Professor, Manav Rachna International Institute of Research and Studies(MRIIRS), Faridabad. She is also handling the PhD program of the University. She has also been associated as a Editorial Board members and reviewer with various reputed journals and Conferences. She has successfully published many book chapters and also editing various books with high indexing databases. She is the life time member of Computer Society of India.

MULUMBA JOEL I am a student and I study from MANAGEMENT TRAINING AND ADVISORY CENTRE (MTAC) Nakawa in Kampala Uganada.I am pursuing a diploma in fabrication and automation engineering and am on my second year on the university My dream is to start up my own company for fabrication and robotic automation immediately afteraccomplishing with my studies because I have a lot of passion in it .I have always engaged in different innovations and industrial training to gain more knowledge and skills for fabrication and robotics Robotics involves so much more than just building robots, to be a robotics engineer you have to have a whole range of different skills and areas of expertise .I look at the various paths I can take towards a career in robotics and the skills I will need to be the best robotics engineer.

Houssemand Claude from University of Luxembourg and Full Professor in Differential Psychology “As the head of the Department of Education and Social Work, head of the Institute of Lifelong Learning and Guidance, course director of the Master in Psychology: Evaluation and Assessement and the Master in Mediation, co-director of the journal Orientation Scolaire et Professionnelle and member of different scientific panels (e.g. World Mediation Forum, International Days of Differential Psychology), his interests span a wide range of topics, including human and artificial intelligence and creativity, lifelong learning and the assessment of adult and professional competencies.”

Dr. Jante Haddad is currently working as a lecturer in electrical and Computer Engineering at University Laval. She had her bachelor's and master's degrees in computer engineering and she earned her Ph.D. from the higher shool of communication of Tunis. She also has a graduate degree in mobile radio communications at the same university. Her research interest is combining various areas of applications: Design and development of smart environments, Biomedical Engineering based on Internet of Things (IoT), industry IoT solutions and Industry 4.0, artificial intelligence and conservation of energy in wireless sensor networks. Dr Haddad has many publications and refereed papers in peer-reviewed journals and indexed conference proceedings

Sunil Pathak is a full Professor & Head in the Faculty of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University Rajasthan, Jaipur, India. He received his Ph.D. study in Computer Science and Engineering from JK Lakshmipat University, Jaipur, India in 2019. His research field includes Breast Cancer, Diabetic Retinopathy, and Plants Species detection, Data Analytics and Image Classification using Machine Learning, Deep Learning, ANN, CNN and Artificial Intelligence, Blockchain in Healthcare Industries. He has an extensive publication record in SCI, SCOPUS, and other reputed indexed journals and edited 01 Book, Organized 04 International Conferences, and wrote five text books and presented his research work at national and national international conferences. He is Senior Member of IEEE and a Life Member of CSI, IETE, IAENG, IACSIT, and other professional bodies. He is also reviewer for reputed journals, such as PLOS-ONE, IEEE Access, IEEE, Transactions on Mobile Computing, IET-Networks, EURASIP Journal on Wireless Communications and Networking, Bentham Science - Recent Patents on Engineering, International Journal of Interactive Mobile Technologies (iJIM), IEEE Transactions on Network and Service Management, Wireless Personal Networks, Springer Nature, Journal of Ambient Intelligence and Humanized Computing.

Sun Dawei, Chief Physician in Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Education experience: 1979-08 to 1984-08, Bachelor of Medicine, Bethune Medical University Scientific research and academic work experience: Ministry of Science and Technology of the People's Republic of China, National High-tech Research and Development Program (863 Program), 2012AA021103, Clinical Application Research and Promotion of Key Technologies for Abdominal and Pelvic LESS and NOTES Surgery, March 2012 to March 2015, 6 million yuan Chief Editor: 1. Gynecological single-port laparoscopic surgery, Peking University Medical Press, 2015 2. Exploration and practice of transvaginal laparoscopic surgery, Tsinghua University Press, 2019 3. Practice of enhanced recovery after surgery in gynecological and obstetrical surgery, China Medical Electronic Audiovisual Press, 2020

Ren Chang, Deputy chief physician in Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Education experience: 2007-09 to 2011-07, Doctor of Medicine (Gynecology and Obstetrics),Peking Union Medical College 2002-09 to 2004-07, Master of Medicine (Gynecology and Obstetrics), Sichuan University (former West China University of Medical Sciences) 1997-09 to 2002-07, Bachelor of Medicine, Sichuan University (former West China University of Medical Sciences) Scientific research and academic work experience: 2013-09 till now: Deputy chief physician of obstetrics and gynecology in Peking Union Medical College Hospital2010-09 to 2013-09: Attending physicianof obstetrics and gynecology in Peking Union Medical College Hospital 2004-08 to 2010-09, Resident of obstetrics and gynecology in Peking Union Medical College Hospital

Mashilo Modiba is a Senior Lecturer in the Department of Information Science at the University of South Africa (UNISA). He completed his PhD degree in 2021 and his research title was, “Utilising artificial intelligence for the management of records at the Council for Scientific and Industrial Research”. He presented research papers at both national and international conferences. He is also a published author publishing his articles in accredited peer-reviewed journals both in national and international journals.He reviews masters and doctoral proposals for the Department of Information Science, Unisa. He also reviews articles for accredited journals. He examines masters and doctoral thesis and dissertations for other universities. He is involved in community engagement projects such as information literacy programmes conducting at schools and public libraries. He is chairing a number of committees in the Department of Information Science, such as, marketing committee, chair of annual archives lecture, chair of annual information science lecture and Unilisa conference 2023. He is website manager and social media manager for the department of information science. His research interests include the application and adoption of artificial intelligence (AI) and robotic machines,internet of things (IoT), cloud computing, big data and blockchain technology for the management of archives and records the public and private sector in Africa, especially in South Africa

Hadi Moeinnia is a Ph.D. candidate at the Department of Mechatronic Systems Engineering at Simon Fraser University, British Columbia, Canada. He received his bachelor's and master's degrees in mechanical engineering at Sharif University of Technology, Iran. Since 2021, he has been a research assistant in Additive Manufacturing Laboratory. His research interests include additive manufacturing techniques, wearable devices, and cellular structures. He is currently focusing on the design of lattice structures for prosthetics and orthotics, and collaborative robotic 3D printers.

Kiran Kumar Ravulakollu has been an enthusiastic person with varied knowledge skills. His contribution during PhD from University of Sunderland UK, in the area of bio-inspired hybrid intelligent systems is appreciable. His area of expertise is associated with solution development using bio-inspired modelling through artificially intelligent environments using artificial intelligence and machine learning principles. Allied areas of research include connected systems, data modelling and applied intelligence. His approaches are very strong from a strategic standpoint that has greater scope for practical efficiency. He is instrumental in providing end-to-end solutions for various automation industries.

Nauman Dawalatabad is a postdoctoral associate at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), USA. He works in the Spoken Language Systems (SLS) group led by Dr. Jim Glass. He was a Lead Engineer at Samsung Research, India, in 2021, where he worked on on-device speech recognition. He obtained his Ph.D. (with the Institute Research Award) in Computer Science and Engineering from the Indian Institute of Technology Madras (IIT Madras) in 2021. In 2020, he was a visiting research student at Mila - Quebec AI Institute, Montreal, Canada, and a core team member of the SpeechBrain group. His research interests include Conversational AI, robust speech recognition, speaker recognition, and speaker diarization.

Professor at Universidade Católica Dom Bosco (UCDB), in the courses of Animal Science and Veterinary Medicine. Completed her PhD in Animal Science at the Federal University of Mato Grosso do Sul (2018). Completed her Master's in Animal Science at the Federal University of Mato Grosso do Sul (2014). She did an internship during her master's degree at Colorado State University. Graduated in Animal Science from the Federal University of Mato Grosso do Sul (2012). Areas of expertise: Ruminant nutrition, Productive performance of ruminants, sheep farming, food evaluation, genetics and genetic improvement, technologies applied to animal production.

Runhe Huang is a full professor in the Faculty of Computer and Information Sciences at Hosei University, Japan. She received a Sino-Britain Friendship Scholarship for her Ph.D. study in U.K and received her PhD in Computer Science and Mathematics from University of the West of England in 1993. Runhe Huang is a full professor in the Faculty of Computer and Information Sciences at Hosei University, Japan. She received a Sino-Britain Friendship Scholarship for her Ph.D. study in U.K and received her PhD in Computer Science and Mathematics from University of the West of England in 1993.Her research fields include cognitive computing, brain modeling, computational intelligence computing, big data, machine learning. She is both IEEE and ACM senior member. She chaired the Smart World Technical Committee, the IEEE Computational Intelligence Society, from 2019 to 2020

Fereshteh Sattari obtained her Ph.D. from the University of Alberta in Chemical & Materials Engineering-Process Control. Her area of research was optimizing and simulating the biomass conversion process by employing Artificial Intelligence techniques.Currently, as a Research Associate and Instructor in the Department of Chemical & Materials Engineering and the Lynch School of Engineering Safety and Risk Management at the University of Alberta, she teaches both grad and undergrad courses and supervises various research projects. In one of these research projects, her responsibility is to apply Artificial Intelligence and Machine Learning to analyze incident reports and reduce incident rates in oil & gas companies. She also leads some projects in the Canadian Rail Research Laboratory.

S.Jayachitra is currently working as an Assistant Professor in Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Tamilnadu, India. She has published more than 20 research articles in International Journals and Conference proceedings. She has published and granted 15 patents in Indian IPR. She has published 7 books and 2 book chapter under National and International Publisher. She served as a Resource person for 20 DST sponsored and AICTE Sponsored FDP/STTP/Orientation Programme. She is having 7.5 years of teaching experience and her research interests include Biomedical Image Processing, Machine Learning, Internet of Things, Blockchain, and Healthcare. She served as Reviewer for various reputed SCI journals.

Luis Ruiz Pineda was born in Santander (Colombia) in 1988. He Graduated in Mechanical Engineering from the Industrial University of Santander, Colombia, in 2012, MSc in Mechanical Engineering from the University of Campinas – UNICAMP, Brazil, in 2016. His Ph.D. was concluded in 2021 at the Department of Computational Mechanics at UNICAMP. Since 2021 he works as a professor at Universidad de América, Colombia, with teaching and research activities, including topics related to mechanical design, predictive modeling, control, and system optimization using machine learning models.

Pasquale Grippa is a senior scientist at Lakeside Labs. Previously, he was a research and teaching staff member at the University of Klagenfurt and a management consultant at Detecon. He holds a Ph.D. in Information Engineering from the University of Klagenfurt (Austria) and an M.Sc. and B.Sc. in Electronics Engineering from the University of Salerno (Italy). His interests include queuing theory, optimization, and artificial intelligence methods for multi-robot and autonomous systems. Applications include transportation, logistics, and inspection of large structures such as ship hulls with heterogeneous robots.

Dr Dominique Blouin is a permanent research engineer at Telecom Paris, Institut Polytechnique de Paris in France. He obtained an MSc in physics from the University of British Columbia in Canada and a PhD in computer science from the University of South-Brittany in France. He worked in industry for several years before he joined the Lab-STICC at the University of South-Brittany in 2008. After a post doc in the system analysis and modeling group of the Hasso Plattner Institute in Germany, he joined Telecom Paris in 2016. He was the vice-chair of working group 1 on foundations for Multi-Paradigm Modeling for Cyber-Physical Systems during the European COST action IC 1404. He has been a member of the SAE AADL standardization committee since 2010. His research interests are multi-paradigm modeling, model management, automatic code generation, domain-specific languages and requirements engineering applied to cyber-physical systems development including robotics.

Andrea Gentili is Associate Professor of Economics at the e Campus Telematic University. He obtained his Ph.D. in Economics at the University of Trento (Italy), he has carried out research at the Alma Mater of Bologna, at the Polytechnic University of Marche (Ancona, Italy) and at the University of International Studies in Rome. He has also been a lecturer at the Maastricht Graduate School of Governance (now UN-MERIT). His research focuses on the topics of technological progress, robotization and their impact on labour markets. Specifically, his research focuses on the non-neutral effects of technological progress in the demand for inputs and, consequently, their remuneration. Recent articles deal with income distribution and policy aimed at reducing the drawback of automation on labor markets and at boosting their positive effects. His field of research extends to the effects on income distribution and how the incentives provided by new technologies interact with the accumulation of human capital. He also deals with the Economics of Education and the study of long life learning processes.

Dr. Chao Zeng is currently a Postdoc Research Associate at the TAMSgroup,University of Hamburg (UHH). He received his Ph.D. degree from South China University of Technology (SCUT), in December2019. His general research interests focus on robot learning control with attention on robot imitation learning, compliant manipulation and grasping, learning adaptive control, and human-robot physical interaction. He has hosted or participated as a main researcher in several international and national projects related to these topics. His research results have been reported in several international journals and conferences, including TMECH, TASE, TII., RAL, RAS, and IEEE IROS. He serves as an independent reviewer for numerous journals (e.g., TRO, TMECH, TASE, TII,TIE, RAL) and conferences (e.g., ICRA, IROS, ARM). He has also served as a Lead- or Co-Guest Editor for several journals such as Frontiers in Robotics and AI, Robotics and Autonomous Systems, Micromachines. He is a Technical Committee Member for several international academic conferences.

Dr. Mohamed Al Hemairy has 20 years’ experience in Research Management, Intellectual Property, Innovation & Technology Transfer from ideas to products in UAE and United Kingdom. He helped over a hundred researchers to file more than 130 inventions & managing around 250 patent applications in the largest IP portfolio in UAE. Mohamed has successfully commercialized and negotiated more than 10 Patent License Agreements with advanced Technology and Pharmaceuticals industries in USA, Japan, Denmark, Belgium and UAE. Al Hemairy holds a PhD degree in Software Engineering from Coventry University (UK). His research interests are Healthcare Monitoring Systems, Artificial Intelligence, Blockchain & Cryptocurrency Technologies. In the recent years, he advised many Blockchain-based startups and entrepreneurs during technology ideation phase, developing White-Papers, and during Pre-ICO and Post-ICO phases. As a Principal Investigator, he leads a research team to develop multiple Blockchain’s platforms for the industry.