Abstract

Galileo Galilei said, "All truths are easy to understand once they are discovered; the point is to discover them." Our systematic, unified, and stable Knowledge Map (KM) discovers all the truths about any domain. The existing domain analysis techniques and domain experts are very good at identifying the tangible aspects of any discipline that considers the applications aspect of the analyzed field. Our Knowledge Map-Unified Domain Analysis (KM-UDA) forms the basis, core, and strong and unified foundation to understand any domain problem and its solution patterns. KM-UDA can create reusable and stable pattern languages and their analysis, design, and architectural patterns. Knowledge Maps' (KMs) main idea is to allow practitioners and developers to master the discipline of interest through accurate domain analysis using KMs via stable patterns and an insightful methodological process. It gives practitioners and developers the necessary means and tools for a complete retrospective of the stable patterns pertinent to a discipline of particular interest and the tidbits of advice on how to use them to satisfy specific needs. This keynote delineates a new creative process and provides an understanding of the knowledge map for domain analysis based on the fundamental concepts of unification and stability

Biography

Prof. Dr. M.E. Fayad is Full Professor at SJSU and a Founder and CEO at AITG, Aeeh Press, and i-SOLE. Previously, he was J.D. Edwards's professor of Software Engineering in the Department of Computer Science & Engineering at the University of Nebraska, Lincoln, from 1999 to 2002. Dr. Fayad is a well-known and recognized authority in theory and the applications of Software Engineering, Linguistic Engineering, and the Art of Abstraction. Fayad's publications are in the very core archival journals and conferences in the field of software engineering. Dr. Fayad was a guest editor on 11 theme issues. Dr. Fayad has published more than 300 high-quality articles, which include profound and well-cited reports (more than 50 in number) in reputed journals, over 100 advanced articles in refereed conferences, more than 25 well-received and cited journal columns, 16 blogged columns, 11 well-cited theme issues in prestigious journals and flagship magazines, 24 different workshops in very respected conferences, over 125 tutorials, seminars, and short presentations in more than 25 States in the USA since 1978 and 52 other countries. Dr. Fayad is also filling for eight new, valuable, and innovative patents and has developed over 800 stable software patterns and brought a breakthrough in software engineering. Dr. Fayad earned an MS and a Ph.D. in computer science and engineering from the University of Minnesota at Minneapolis. His research topic was OO Software Engineering: Problems and Perspectives. He is the lead author of several classic Wiley books, CRC, and Aeeh Press, Inc

Abstract

It has been proven that people's skills are not sufficiently utilized when working together in a team; instead, ideas are mutually devalued and destroyed. Instead of providing a solution, conventional communication and project methods have only exacerbated this problem.

Highly trained people have caused 75% of software projects to fail partially and completely since 1994 (Chaos Report 2022). The people responsible in management and leadership positions in companies and society are aware of the causes of 72% of inefficient meetings and events (McKinsey, HBR 2019). In Germany, €720 billion and €19 trillion are lost worldwide as a result (Bain & Company 2019).

The weaknesses in decision-making and communication are known as cognitive biases. Dominant speakers dominate and the more silent ones do not get their ideas heard. The priming effect and biases have been scientifically investigated, but they work unconsciously and prevent constructive decision-making and communication. Nudges as a countermeasure are too costly and insufficient to achieve the desired goals. 

With previous decision-making and communication methods, innovations are only implemented slowly and with little success. Advancing into disruptive areas of innovation with completely new ways of thinking and decision-making has not yet been possible, or only to a limited extent. 

Jointly supported decisions are team decisions that are jointly supported by a team and initiate a jointly supported implementation. Team decisions could revolutionize previous concepts for individual decisions and general communication with teams and people, from ideation to successful implementation. 

The authoritarian and participative decisions according to governance and power relations remain intact so that this leap innovation can lead to a gentle disruption.

Digitized Decision-Making Management (dDMM) is intended to show how to navigate through the topic of Demand-Driven Events.

Biography

He strives for giving people a chance to do well. His affinity for the Applied Science and Engineering Technologies stems from his early exposure to information technology. In 1975, he already programmed on one of the first available computers, the Zuse Z23. Starting in 1979, he was involved in the marketing of search engines and the development of neural networks. In 1991, Richard Georg Graf founded his first IT company for large analytical systems, such as the employment statistics of the Federal Employment Agency. His experiences are based on 200 projects that he led as a project and multi-project manager, as well as 80 change and transformation projects in companies. Since 1993, and exclusively from 2010 onwards, he has been researching the human decision-making process for high performance teams. He discovered the neurobiological inseparability and the neural interaction of body, emotions, intuition, and cognition (KiE) and developed Decision-Making Management for jointly supported team-decisions, published by Hanser Verlag in 2018: "Die neue Entscheidungskultur" (The New Decision Culture). Richard Georg Graf taught at Goethe University Frankfurt for Business Administration: Strategic Management, at Europa University Frankfurt (Oder) Viadrina for Cultural Studies: Language Usage and Therapeutic Communication, and at Friedrich-Alexander University Erlangen-Nuremberg for Engineering Sciences: The New Decision Strategy in the Digital Age. However, his roots lie in the family craft business, and his passion is for conscious individuals who decide and act in a self-organized and self-responsible manner.

Abstract

Optimal Algorithms.

There are among many , mainly two types of algorithms we are going to consider here 1) Mathematical geometric drawing algorithms s.t. Lines , circles , ellipses, hyperbolas, gaussians, exponentials and many more. 2) Mathematical function calculation algorithms s.t. Multiplication, division squareroots, nth roots, logarithms, exponentials , sines , cosines ,… e.t.c . The main types of drawing algorithms are; Incremental algorithms such that the Bresenham algorithm, our improved circle algorithm can be calculated with only additions and subtracions making it optimal in the binary digital system, Diffenence equation evaluation algorithms, and functional plot algorithms, to mention the second category here we have a very very fast parametric ellipse algorithm invented by the author 30 – 40 years ago, it is driven by two second order linear trigonometric difference equations , requiring only  two multiplications in the inner-loop. There are many ways to calculate Mathematical functions , One of the most known and used methods are Taylor series expansion, but more rare is the super and hyperfactorization methods we will present they accelerate the series to immense fast convergence, making these algorithms optimal too.

Biography

Tony Barrera is a certified autodidact math genius. He have published more than 42 Ordinary high rated scientific papers And up to several hundred publications, computer simulations and animations In different subjects, scientific papers in mathematics , computer graphics, numerical analysis, astrophysics and Particle Atomic physics. Tony does research general together with prof Ewert Bengtsson, Prof Anders Hast and Physicist Bo Thelin and the crew of Barrera Science Lab.

Abstract

The furniture industry is introducing various materials with better aesthetic and decorative effects. These are good from the customers' point of view. Nevertheless, furniture manufacturers sometimes have problems with adhesion in bonding and finishing technologies. There are different groups of methods for activating furniture materials, among the commonly used are physical-mechanical, chemical, and electrical. Surface treatment with plasma, corona discharge, or air, as well as the use of adhesion promoters (primers) and sanding, are methods that can be used to improve the gluability or paintability of various materials. Such methods can be used in various technologies, including edgebanding, profile-wrapping, wood and wood-based composites finishing. Adhesion promoters can be used based on organic compounds from the solventborne and waterborne products catalyzed by isocyanates. Research results of employees and students from recent years were presented.

Biography

Tomasz Krystofiak in 1994 was finished study of Faculty of Wood Technology at Agriculture Academy in Poznan. In 2002 he prepared a PhD dissertation and in 2019 habilitation. Author or co-author of more than 320 scientific publications in the scope of gluing and finishing of wood and wood-based composites. To his research activities belongs surface phenomena, wettability, adhesion and adherence, modification, gluability and paintability of lignocellulosic materials. He was a Management Committee Member of COST Actions FP1006, CA15216, CA 21159 and Working Group Member (FP1303, FP1407). Since 2021 Guest Editor in Special Issues in Coatings, Energies, Forests and Materials Journals.

Abstract

The quest for sustainable and clean energy sources has never been more critical than it is today. Among the various renewable energy options, hydrogen holds immense promise as a clean and versatile fuel. However, harnessing hydrogen as an energy source requires overcoming several challenges, one of which is the efficient and cost-effective production of hydrogen through water splitting. This study delves into the fusion of theoretical physics and practical engineering in the development of advanced hydrogen-splitting technologies, shedding light on how the groundbreaking McGinty Equation (MEQ) framework plays a pivotal role in this endeavor. 

Hydrogen production through water splitting is a process that holds significant potential for generating clean energy. However, traditional methods of water electrolysis often involve high energy inputs, limiting their efficiency and economic viability. This is where the integration of theoretical physics, as exemplified by the MEQ, becomes crucial. By incorporating principles from quantum field theory and fractal potentials, the MEQ provides a novel approach to understanding and optimizing the water-splitting process at the atomic and molecular levels. This multidimensional framework enables researchers to explore innovative pathways for enhancing the efficiency of hydrogen production, ultimately contributing to the advancement of sustainable energy solutions. In this guide, we explore how the fusion of theoretical physics and practical engineering is driving progress in the development of advanced hydrogen-splitting technologies, offering a glimpse into a cleaner and more sustainable energy future.

Biography

Chris McGinty is a visionary entrepreneur who has revolutionized theoretical physics and artificial intelligence. With an unquenchable thirst for understanding the universe, Chris embarked on a quest to develop a unified framework that could transform our knowledge of nature. Through extensive research, he introduced the MEQ, an extraordinary unified equation bridging quantum physics and field theory. As the founder of the L_TOE (Lagrangian Theory of Everything) framework, Chris assembled a brilliant team and harnessed cutting-edge AI technologies to explore the intricacies of the MEQ. This endeavor birthed Skywise.ai, an innovative platform uniting quantum-inspired algorithms, computational resources, and simulation tools to advance various domains. Chris's unwavering pursuit of knowledge and commitment to pushing scientific boundaries have cemented his status as a pioneering figure. His work lays the groundwork for quantum computing, artificial intelligence, and our comprehension of the universe's fundamental laws. Through interdisciplinary collaboration, Chris inspires future generations, leaving an enduring impact on scientific progress.

Abstract

This presentation ventures into the exploration of the "Roll Principle," a pivotal notion that serves as a bridge between the disciplines of natural and social sciences through the lens of mathematical philosophy. We delve into how this principle establishes a common foundation, enriching our comprehension of the intricate interconnectedness that permeates these fields. Utilizing mathematical methodologies, we unveil the Roll Principle's potential to amalgamate diverse scientific domains, thereby revealing new perspectives on their fundamental congruence. This exposition not only sheds light on the theoretical synergy between natural and social sciences but also underscores the tangible benefits for cross-disciplinary research and practical applications.

Biography

Xiaowen Kang completed his PhD in Engineering Physics from Tsinghua University. With a decade of experience in engineering, energy, economics, and social data analysis, he later became a Visiting Fellow at Harvard University. Kang has published over 40 articles and authored a book,showcasing his contributions across multiple disciplines. He is recognized for his interdisciplinary approach, blending physical sciences with analytical expertise to address complex challenges. Xiaowen Kang completed his PhD in Engineering Physics from Tsinghua University. With a decade of experience in engineering, energy, economics, and social data analysis, he later became a Visiting Fellow at Harvard University. Dr.Kang has published over 40 articles and authored a book, showcasing his contributions across multiple disciplines. He is recognized for his interdisciplinary approach, blending physical sciences with analytical expertise to address complex challenges.

Abstract

Connecting Computing Power to Human Insights – A Strategic Framework for Artificial Intelligence in Marketing The digital transformation led by disruptive technologies can help organizations address numerous challenges and deliver better customer value through innovative technologies in all business areas. Artificial intelligence (AI) is finding its application in various business disciplines and is expected to be one of the most important technological tools used in marketing in the years to come.

AI aids in proliferating information and data sources, improving software’s data management capabilities, and designing intricate and advanced algorithms. AI is changing the way brands and users interact with one another. Marketers can now focus more on the customer and meet their needs in real time. By using AI, they can quickly determine what content to target and which channel to employ at what moment. Users feel at ease and are more inclined to buy what is offered when AI is used to personalise their experiences. AI tools can also be used to analyse the performance of a competitor’s campaigns and reveal their customers’ expectations.

In this paper, the author has reviewed the role of Artificial Intelligence in marketing (AIM). The paper provides comprehensive detail of the benefits of implementing AI in marketing, how AI is reshaping marketing and the need of AI in marketing which is illustrated with real world examples from different businesses. This paper also entails a section dedicated to implementation of different AIM strategies. The author has thoroughly studied the implications of AIM technology throughout the customer life cycle. Lastly, there is a detailed sector-wise and region-wise analysis.
 

Biography

Dipanwita Burman has completed her MBA in Marketing from Institute of Technology & Management, Mumbai and Master's in Applied Economics from Christ University, Bangalore. She is a Marketing & Analytics Professional with a cross-functional experience of 8+ years in diverse industries - Internet; Media; Apparel & Fashion; FMCD; Financial Services; Automobile & Education. She has also completed Executive Education Programmes from IIM Bangalore in "Business Analytics - The Science of Data Driven Decision Making" and from IIM Ahmedabad in "Customer Relationship Management".

Abstract

Cybersecurity management and policy play pivotal roles in safeguarding the integrity of organizational assets against evolving cyber threats. However, amidst this criticality, there remains a lack of consensus regarding the characterization of cybersecurity as an applied science. This discussion explores the fundamental aspects of cybersecurity management and policy as an applied science, aiming to elucidate its definitions, scopes, and methodological underpinnings. This discourse will scrutinize the parallels and distinctions between cybersecurity and established applied sciences, including engineering, medicine, and management by exploring historical precedents and conceptual frameworks. Moreover, it will dissect the challenges and prospects inherent in applying scientific methodologies and principles to cybersecurity conundrums and delineate the ethical and societal responsibilities incumbent upon cybersecurity practitioners and researchers. The synthesis of these deliberations will culminate in the proposition of a comprehensive framework tailored to define and propel cybersecurity management and policy as a robust and efficacious applied science. Consequently, this discussion offers profound insights into how the consolidation of cybersecurity within the applied sciences realm can reshape the Governance, Risk, and Compliance (GRC) adherence landscape for organizations and entities in an increasingly digitized world.

Biography

Nia Luckey is a cybersecurity expert and innovator who works as a cloud services engineer at a leading global consulting firm. She has over 15 years of experience in the IT industry, specializing in mergers and acquisitions, cloud program management, and cybersecurity governance, risk, and compliance. She is also a passionate advocate for diversity and inclusion in cybersecurity, and she has established two nonprofit chapters in North Carolina to support and mentor aspiring professionals in the field. She is a frequent speaker and contributor at various industry events and publications, sharing her insights and best practices on how to succeed in the ever-changing cyber landscape. When she is not working or volunteering, she enjoys traveling, reading, and spending time with her family.

Abstract

Given the current dynamic developments in the field of Mechanical Engineering, Mechatronics, Humanoid Robotics, AI, Nano & Bio Technologies, Semiconductors, Very Large Scale Integration, New Materials, and Smart Medicine, with the ubiquitous access to high-speed Internet 24/7, the Ultra-smart Cyberspace is becoming reality. The Smart Computational Systems are collecting, processing and analyzing a real-time medical data utilizing the Electronic Health Record (EHR) to fast treatment, prevention and healing of the wave of new viruses and diseases and ultimately safe human lives. The areas of research in the field of Mechanical Engineering, Mechatronics, Nano-Bio Technologies, Microelectronics, Computing and AI & Humanoid Robotics create a new platform for future e-Health utilizing new biomechanical humanoid devices. In light of currently ongoing developments of Covid-19 crisis, having effective real-time application of Ultra-smart Cyberspace, with applied AI & Robotics and Big Data will support critical live saving surgeries in Next generation tele-Medicine. Due to Covid-19, the humanity lives in the most dramatic times, yet despite of its most negative impact it does also inspire dynamic innovation, research and developments in the world of health, business, government, industry, plus., while promoting seamless creation of multidisciplinary teams of experts in the nation and worldwide. The author discuss the Ultra-Smart Cyberspace driven by the AI Humanoid Robotics in the Third Millennium with current and future dynamic trends in research, innovation and developments of Mechanical Engineering, Mechatronics, AI in Cyber Security, Computational Mechatronics, Smart Health, and cutting-edge Humanoid Robotics that would provide support to save lives and to make best real-time decisions worldwide. Together we may find the answer to a question: Will the AI be well understood and become part of our daily live or else? 

Biography

Professor Dr. Eduard Babulak is accomplished international scholar, researcher, consultant, educator, professional engineer and polyglot, with more than thirty years of experience. He served as successfully published and his research was cited by scholars all over the world. He serves as Chair of the IEEE Vancouver Ethics, Professional and Conference Committee. He was Invited Speaker at the Oxford and University of Cambridge, MIT, Purdue University, Yokohama National University and University of Electro Communications in Tokyo, Japan, Shanghai Jiao Tong University, Sungkyunkwan University in Korea, Penn State in USA, Czech Technical University in Prague, University at West Indies, Graz University of Technology, Austria, and other prestigious academic institutions worldwide. His academic and engineering work was recognized internationally by the Engineering Council in UK, the European Federation of Engineers and credited by the Ontario Society of Professional Engineers and APEG in British Columbia in Canada. He was awarded higher postdoctoral degree DOCENT – Doctor of Science (D.Sc.) in the Czech Republic, Ph.D., M.Sc., and High National Certificate (HNC) diplomas in the United Kingdom, as well as, the M.Sc., and B.Sc. diplomas in Electrical Engineering Slovakia. He serves as the Editor-in-Chief, Associate Editor-inChief, Co- Editor, and Guest-Editor. He speaks 16 languages and his biography was cited in the Cambridge Blue Book, Cambridge Index of Biographies, Stanford Who’s Who, and number of issues of Who’s Who in the World and America