Jerry Chun-Wei Lin currently serves as a full professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences in Bergen, Norway. He has published more than 500 research papers in peer-reviewed journals (more than 70 ACM/IEEE journals) and international conferences. His research interests include data mining, soft computing, deep learning/machine learning, security and privacy, optimization, fintech, and IoT applications. He is Editor-in-Chief of the Data Science and Pattern Recognition (DSPR) journal, Associate Editor for 11 SCI journals including IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), IEEE Transactions on Cybernetics (IEEE TCYB), Information Sciences (INS) and others. He has served as a guest editor for more than 60 SCI journals, including some top-tier journals in ACM and IEEE, e.g., ACM TOIT, ACM TALLIP, ACM TMIS, ACM JDIQ, IEEE JBHI, IEEE TII, IEEE TFS and IEEE TITS. He is the co-leader of the well-known SPMF project, which provides more than 200 data mining algorithms and has been cited in many different applications (about 1000 citations). He was also recognized as the most cited Chinese researcher by Elsevier/Scopus in 2018, 2019, 2020, and 2021, and as a top-2% scientist in 2020 and 2021 by the report of the Stanford University. He was also recognized as one of the top-10 most productive researchers in Norway in 2021. He is a Fellow of IET (FIET), ACM Distinguished Scientist, and IEEE Senior Member.

Yaroslav D. Sergeyev is Distinguished Professor at the University of Calabria, Italy (professorship awarded by the Italian Government) and Head of Numerical Calculus Laboratory at the same university. He is also Member of the University International Council and Professor (part-time contract) at Lobachevsky Nizhniy Novgorod State University, Russia, Affiliated Researcher at the Institute of High Performance Computing and Networking of the Italian National Research Council, and Affiliated Faculty at the Center for Applied Optimization, University of Florida, Gainesville, USA. He was awarded his Ph.D. (1990) from Lobachevski Gorky State University and his D.Sc. degree (1996) from Lomonosov State University, Moscow (this degree is Habilitation for the Full Professorship in Russian universities). In 2013, he was awarded Degree of Honorary Doctor from Glushkov Institute of Cybernetics of The National Academy of Sciences of Ukraine, Kiev. His research interests include numerical analysis, global optimization (he was President of the International Society of Global Optimization, 2017-2021), infinity computing and calculus (the field that he has founded), philosophy of computations, set theory, number theory, fractals, parallel computing, and interval analysis. Prof. Sergeyev is included in the lists “Top Italian Mathematicians” and “Top Italian Computer Scientists”. He was awarded several research prizes (Khwarizmi International Award, 2017; Pythagoras International Prize in Mathematics, 2010; EUROPT Fellow, 2016; Outstanding Achievement Award from the 2015 World Congress in Computer Science, Computer Engineering, and Applied Computing, USA; Honorary Fellowship, the highest distinction of the European Society of Computational Methods in Sciences, Engineering and Technology, 2015; The 2014 Journal of Global Optimization (Springer) Best Paper Award; Lagrange Lecture, Turin University, Italy, 2010; MAIK Prize for the best scientific monograph published in Russian, Moscow, 2008, etc.). In 2020, he was elected corresponding member of Accademia Peloritana dei Pericolanti in Messina, Italy. In 2020 and 2021, he was included in the rating “Highly cited authors in Scopus”. His list of publications contains more than 250 items (among them 6 books). He is a member of editorial boards of 12 international and 3 national journals and co-editor of 11 special issues. He delivered more than 70 plenary and keynote lectures at prestigious international congresses. He was (Co-)Chairman of 11 international conferences and a member of Scientific Committees of more than 60 international congresses. He is Coordinator of numerous national and international research and educational projects. Software developed under his supervision is used in more than 40 countries of the world. Numerous magazines, newspapers, TV and radio channels have dedicated a lot of space to his research.

Daniela Cardone obtained a Master's Degree in Biomedical Engineering at the La Sapienza University of Rome in 2009. In 2013, she obtained the title of Ph.D. in Neuroscience and Neuroimaging at the University "G. d’Annunzio "of Chieti-Pescara. Since June 2021, she has the role of Research Fellow, Senior Research at the Department of Engineering and Geology of the University of "G. d’Annunzio "of Chieti-Pescara. Her research work mainly concerns the development of processing methods and analysis of images and physiological signals, of various nature. Her main activity concerns, in particular, thermal infrared (IR) imaging. In this context, she developed real-time tracking algorithms for specific areas of interest and IR image morphing methods on anatomical templates. She also dealt with the realization of image fusion algorithms between visible and thermal images. More recently, her research has focused on affective computing and human-machine interaction, with particular reference to the automotive research field and assistive robotics.

Robert Plana has been Professor at Paul Sabatier University in Toulouse and at the Institut Universitaire de France in the field of Internet of Things Technologies. He has occupied numerous top management positions at CNRS, National Research Agency and Ministry of higher education and research. In the private sector, he has been working with a startup (SiGe Microsystems) as Senior Technology Leader, with Alstom as Open Innovation Director and with GE as the CTO and Ecosystem Director of the GE Digital Services for Europe. He is now the Chief Technology Officer of ASSYSTEM Group in charge of the Innovation strategy and leading the program “Engineering Powered by digital services”. He is pioneering the convergence between Big Data, Artificial Intelligence and Advanced System Engineering for mission critical Infrastructures.

4x TEDx speaker, MIT alum, YouTube creator. Globally recognized corporate consultant and scientific advisor at AgnisStibe.com. Offers an authentic science-driven STIBE method and practical tools for hyper-performance. Artificial Intelligence Program Director and Professor of Transformation at EM Normandie Business School. Paris Lead of Silicon Valley founded Transformative Technology community. At the renowned Massachusetts Institute of Technology, he established research on persuasive cities for sustainable wellbeing. His change method is helping millions to gain confidence and build resilience against everyday circumstances. It will help you achieving stressless hyper-performance at work and certainty in life. Within this vision, business acceleration and societal wellbeing can be achieved through purposefully designed innovations that successfully blend technological advancements with human nature.

David Perpetuini graduated in Biomedical Engineering from the Marche Polytechnic University of Ancona in 2012. In 2018, he obtained the title of Ph.D. in Neuroscience and Neuroimaging at the University "G. d'Annunzio" of Chieti-Pescara with a final dissertation entitled:" Complexity analysis of fNIRS signal: validation and clinical applications ". Part of the Ph.D.'s research work was carried out at the Department of Biomedical Engineering and Medical Physics of the University College of London (UCL) and at the Institute of Cognitive Neuroscience (ICN) in London. Since 2018 he has been a post-doctoral researcher at the Department of Neuroscience, Imaging and Clinical Sciences of the University "G. d’Annunzio " of Chieti-Pescara. His research work mainly concerns the study of brain activity through functional near-infrared spectroscopy (fNIRS), particularly in Alzheimer's disease patients, employing machine learning and artificial intelligence techniques. Moreover, he develops algorithms for the detection of the autonomic nervous system activity by means of functional thermal imaging and he investigates the state of vascular aging using photoplethysmography.

Tim Leung is the Boeing Endowed Chair Professor of Applied Mathematics and Director of the Computational Finance & Risk Management (CFRM) program at the University of Washington in Seattle. He is the founder and director of the CFRM Quantitative Analytics Lab. Previously, he was a tenure-track Assistant Professor in the Department of Applied Mathematics & Statistics at Johns Hopkins University and in the Department of Industrial Engineering & Operations Research at Columbia University. He obtained his BS from Cornell University and Ph.D. from Princeton University. His research areas are Quantitative Finance and Stochastic Optimal Control. He has worked on a variety of problems, such as derivatives pricing, algorithmic trading, exchange-traded funds (ETFs), commodities and cryptocurrencies. His research has been funded by the National Science Foundation (NSF). He has published over 60 peer-reviewed articles and several books on the topics of Mean Reversion Trading, ETFs, Futures Trading, and Employee Stock Options. In 2016, he won the Emerald Literati Network Award.

Hiral Raval pursued MS in Applied Analytics and Data Science from Columbia University in the City of New York. She specializes in leveraging data science across various organizational contexts and impactful storytelling with data. While at Columbia, she spearheaded an NLP backed ESG project for Accern that was aimed to aid financial institutions in making investment decisions. She subsequently joined Accern as a Customer Success Manager to continue her work in the ESG vertical and to expand the knowledge graph of financial events and entities. She currently works as a business performance specialist at Amazon’s Global Media and Entertainment company – Audible. She brought into play various data science and analytics frameworks and methods for examining the business performance for the C-suite executives. She further steers the strategy building for verticals as such marketing, product, content and business at large. She vests deep interest in exploring ways AI can ensure sustainable fashion. She is also an ambassador at One Young World championing gender equality, and sustainability in cities and communities.

Stefan G. Stanciu received the Ph.D. degree in electronics and telecommunications from University Politehnica of Bucharest (UPB), Bucharest, Romania, in 2011. He was a Postdoctoral Researcher with UPB and ETH Zurich, Zürich, Switzerland. He is currently a Principal Investigator with Center for Microscopy-Microanalysis and Information Processing, UPB, and is habilitated in Physics. He has co-authored >70 Web of Science journal articles, with >30% as main author, and several book chapters. His research focuses on high- and super-resolution imaging by scanning laser and scanning probe microscopies. Stefan currently coordinates various research projects that focus on super-resolved imaging of cells, tissues, and advanced materials, and on the development of related image analysis and processing methods, with focus also on artificial intelligence.

Loai received his B.Sc. - Ph.D in Mathematics in 2014 in Artificial Intelligence from the University of Haifa. Currently he is a member in the department of Information Systems at The Max Stern Yezreel Valley College. Loai is a researcher and algorithm developer in the fields of artificial and business intelligence, computer vision, and big data from 2005. He founded xBiDa, a company that deals with artificial intelligence for big data and computer vision in 2017.

Dr. Dileep Kumar Yadav received the Engineering degree (B. TECH. in Computer Science & Engineering) from Uttar Pradesh Technical University, Lucknow, UP, India in 2006 and masters degree (M.TECH. in Computer Science & Technology) from School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 2011. Dr. Yadav has earned Ph.D. (Computer Science & Technology) degree from School of Computer & Systems Sciences, Jawaharlal Nehru University New Delhi, India in 2016. He is Sun Certified Java Programmer. He is author of 65 research publications (Patent, Journals, and National/International conferences). He has also written books and many book chapters for internationally reputed publishers. His primary research interests are in image processing, computer vision, Artificial Intelligence and Machine Learning over dynamic data specially in adverse situation. Dr. Yadav is also associated with many international journals as Associate Editor, Member, Int. Editorial Board member etc. He has more than 12 years of working experience in industry as well as academia. Dr. Yadav is recipient of various awards from national and International organizations in research. He is also supervising many national and international students for pursuing their research work. Currently, Dr. Yadav is working an Professor in Dept. of CSE, SCSE, Galgotias University, Greater Noida, India.

Rajan Kanwar is a seasoned intrapreneur with 12+ years of cross-industry thought leadership and consulting experience in deconstructing archaic business models, and agile engineering, rapidly testing and strategically deploying disruptive business and operating models harnessing emerging AI, ML and Robotic technologies, frictionless processes, and risk and change management. His industry leadership experience in spearheading enterprise-wide multi-year digital transformation initiatives across diverse verticals, including, Banking, Retail, and Transportation & Logistics, has honed his execution and value realization capabilities. His leadership roles with consulting firms has enabled him to be the trusted techno-functional advisor, solution architect, and program delivery leader facilitating Fortune 500 organizations transform their business models to create untapped value and successfully ride Industrial Revolution 4.0 wave.

DR. ARTI JAIN is working as an Assistant Professor (Sr. Grade) in the Department of Computer Science & Engineering at Jaypee Institute of Information Technology (JIIT), Noida, Uttar Pradesh, India. She has academic experience of 20+ years. She has her undergraduate in Mathematics (1998) from Delhi University; MCA (2002) from Panjab University; M.S. (2009) from BITS Pilani; and Ph.D. in Computer Science & Engineering (2019) from JIIT Noida. She is a Sr. member of IEEE, and also a member of INSTICC, IAENG, SAFAS, IFERP, and TERA. She is an Editorial Board member of the Journal of Technological Advancements (JTA), IGI Global; American Journal of Neural Networks and Applications (AJNNA), SciencePG; International Journal of Innovations in Engineering & Technology (IJIET); International Journal of Information Technology and Web Engineering (IJITWE), IGI Global. She is an International Advisory Committee member of the International Conference on Applied Engineering and Natural Sciences (ICAENS-2022), Konya, Turkey; the International Conference on Recent Trends in Multi-Disciplinary Research (ICRTMDR-22), Qatar; International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion (DSAI 2022), Lisboa, Portugal; International Conference on Recent Trends in Multi-Disciplinary Research (ICRTMDR-2021), Maldives; International Conference on Applied Sciences, Engineering, Technology and Management (ICASETM-2020), Dubai, UAE. She is also an advisory member of the ATAL advisory committee, Atal Tinkering Lab, Jaypee Public School (JPS), Noida. She is a reviewer of reputed and peer-reviewed International Journals- World Scientific, Taylor & Francis, Springer, IGI Global, John Wiley & Sons, Tech Science Press, Inderscience, GRD, and Premier. She has guest-edited contemporary Special Issues in International Journals. She is a Program Committee member of several International Conferences and has also conducted Special Sessions. She has Chaired Sessions at International Conferences- ICRASES 2022; KDIR 2021, AIMV 2021, FTSE 2021; ICICC 2020. She is an invited speaker for various workshops, seminars, and conferences such as International Conference on Big Data, Data Mining, and AI, United Research Forum (UK, 2022); Workshop on Computer Methods in Medicine & Health Care, Transdisciplinary Information Sciences Conferences (China, 2021); 2nd International Webinar on Big Data Analytics and Data Science, Coalesce Research Group (USA, 2021); National Workshop on Soft Computing and Language Processing. She has also been the key resource person for prestigious FDPs such as Deep Learning for Natural Language Processing, Applications of Machine Learning, and International Knowledge Development Program by Special Minds, to name a selected few. She has participated in more than 85 specialized short-term courses. She has published 2 books to her credit. She has more than 30 research papers in peer-reviewed International Journals, Book Chapters, and International Conferences. She has supervised M.Tech. Thesis in the area of Social Media Analytics, and around 50 B.Tech. Projects. Currently, she is supervising 2 Ph.D. candidates. Her research interest includes Natural Language Processing, Machine Learning, Data Science, Deep Learning, Social Media Analysis, Soft Computing, Big Data, and Data Mining.