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.