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.

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.

Houbing Herbert Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. In August 2017, he joined the Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently a Tenured Associate Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). SONG Lab graduates work in a variety of companies and universities. Those seeking academic positions have been hired as tenure-track assistant professors at US universities like Auburn University, Bowling Green State University, and University of Tennessee. He has served as an Associate Technical Editor for IEEE Communications Magazine (2017-present), an Associate Editor for IEEE Internet of Things Journal (2020-present), IEEE Transactions on Intelligent Transportation Systems (2021-present), and IEEE Journal on Miniaturization for Air and Space Systems (J-MASS) (2020-present), and a Guest Editor for IEEE Journal on Selected Areas in Communications (J-SAC), IEEE Internet of Things Journal, IEEE Network, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Journal of Biomedical and Health Informatics. He is the editor of eight books, including Aviation Cybersecurity: Foundations, principles, and applications, Scitech Publishing, 2022, Smart Transportation: AI Enabled Mobility and Autonomous Driving, CRC Press, 2021, Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 2019, Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles and the inventor of 2 patents (US & WO). His research interests include cyber-physical systems/internet of things, cybersecurity and privacy, AI/machine learning/big data analytics, edge computing, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been sponsored by federal agencies (including National Science Foundation, US Department of Transportation, Federal Aviation Administration, Air Force Office of Scientific Research, US Department of Defense, and Air Force Research Laboratory) and industry. His research has been featured by popular news media outlets, including IEEE GlobalSpec's Engineering360, Association for Uncrewed Vehicle Systems International (AUVSI), Security Magazine, CXOTech Magazine, Fox News, U.S. News & World Report, The Washington Times, New Atlas, Battle Space, and Defense Daily. Dr. Song is a senior member of IEEE and ACM, and an ACM Distinguished Speaker. Dr. Song is a Highly Cited Researcher identified by Clarivate™ (2021) and a Top 1000 Computer Scientist identified by Research.com. Dr. Song was a recipient of the Best Paper Award from the 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2019), the Best Paper Award from the 2nd IEEE International Conference on Industrial Internet (ICII 2019), the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference, the Best Paper Award from the 6th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020), the Best Paper Award from the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020), the Best Paper Award from the 40th Digital Avionics Systems Conference (DASC 2021), the Best Paper Award from 2021 IEEE Global Communications Conference (GLOBECOM 2021) and the Best Paper Award from 2022 IEEE International Conference on Computer Communications (IEEE INFOCOM 2022).

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Jiajia Jiang(1986-), Ph.D., Distinguished Research Fellow, PH.D. Supervisor, Deputy director of key laboratory of mems technology, Ministry of education, Deputy director of the joint research center for health monitoring of major equipment of tianjin university, Tianjin University, School of Precision Instrument & Opto-electronics Engineering. He was selected as the "Young Elite Scientists Sponsorship Program" by China Association for Science and Technology (CAST), selected as the "131" Innovative Talents Training Project of Tianjin City and Tianjin Young science and technology outstanding talents. He won the "National Excellent Doctoral Dissertation" of China Instrument and Control Society in 2016. He is currently a committee member of the Vibration Measurement Branch of the International Measurement Confederation (IMEKO), the deputy secretary-general of the Technology Promotion and Transformation Working Committee of the China Society of Measurement and Testing, a committee member of the Youth Working Committee of the China Instrument Society, Associate editor of IEEE Access and Electronics Letters, editorial board member of Applied Acoustics, technical committee member and branch chairman of the 2nd/3rd International Conference on Information and Communication Technology, technical committee member of the International Symposium on Automation, Control and Communication Engineering, and the technical committee member of the 21st International Conference on Communication and Information of International Symposium on Technology (ISCIT 2022) and Senior Member of IEEE. He has published more than 80 papers, which have been cited more than 600 times. He has obtained more than 30 authorized invention patents.

Yang Yue received the B.S. and M.S. degrees in electrical engineering and optics from Nankai University, China, in 2004 and 2007, respectively. He received the Ph.D. degree in electrical engineering from the University of Southern California, USA, in 2012. He is a Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, China. Dr. Yue’s current research interest is intelligent photonics, including optical communications, optical perception, and optical chip. He has published over 200 peer-reviewed journal papers (including Science) and conference proceedings with >9,000 citations, five edited books, two book chapters, >50 issued or pending patents, >200 invited presentations (including 1 tutorial, >30 plenary and >40 keynote talks). Dr. Yue is a Senior Member of IEEE and Optica. He is an Associate Editor for IEEE Access, Editor Board Member for three other scientific journals, Guest Editor for >10 journal special issues. He also served as Chair or Committee Member for >90 international conferences, Reviewer for >60 prestigious journals.

Dr Cheng Siong Chin is currently a Reader (Assoc. Professor) with Newcastle University and Adjunct Professor to Chongqing University, School of Automotive Engineering. He received his Ph.D. in Applied Control Engineering at Research Robotics Centre in Nanyang Technological University (NTU) in 2008 and M.Sc. (Distinction) in Advanced Control and Systems Engineering from The University of Manchester in 2001. He also received the B.Eng.(Hons) degree in Mechanical and Production Engineering from Nanyang Technological University (NTU) in 2000. He worked in the consumer electronics industry for a few years before moving into academia. His research interests include intelligent systems design of complex systems such as electric vehicles, energy storage systems, and acoustic systems. He has achieved over 150 publications, 7 books and 3 US Patents. He also received DCASE2019 Judges' Award in IEEE AASP Challenge on DCASE2019. He is an Associate Editor for IEEE Access Journal, Applied Artificial Intelligence, IEEE Transportation Electrification Community (TEC) eNewsletter, and editorial board member of Electronics, MDPI. He has served as General Chair, Session Chair, and Technical Committee in numerous international conferences.

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.