ASETMEET2023

Thomas J. Webster’s (H index: 112; Google Scholar) degrees are in chemical engineering from the University of Pittsburgh (B.S., 1995; USA) and in biomedical engineering from RPI (Ph.D., 2000; USA). He has served as a professor at Purdue (2000-2005), Brown (2005-2012), and Northeastern (2012-2021; serving as Chemical Engineering Department Chair from 2012 - 2019) Universities and has formed over a dozen companies who have numerous FDA approved medical products currently improving human health. Dr. Webster has numerous awards including: 2020, World Top 2% Scientist by Citations (PLOS); 2020, SCOPUS Highly Cited Research (Top 1% Materials Science and Mixed Fields); 2021, Clarivate Top 0.1% Most Influential Researchers (Pharmacology and Toxicology); and is a fellow of over 8 societies.

Ning Lin is an Associate Professor of Civil and Environmental Engineering at Princeton University. Lin’s research areas include natural hazards and risk analysis, climate change impact and adaptation, wind engineering, and coastal engineering. Her current primary focus is hurricane risk analysis. She integrates science, engineering, and policy to study hurricane-related weather extremes, how they change with changing climate, and how their impact on society can be better mitigated. She has published in high-impact journals including Science, Nature Climate Change, and PNAS on these topics. Lin is a recipient of CAREER award from National Science Foundation (NSF),Natural Hazards Early Career Award and Global Environmental Change Early Career Award from American Geophysical Union (AGU), and and Huber Research Prize from American Society of Civil Engineers (ASCE). Lin received her Ph.D. in Civil and Environmental Engineering from Princeton University in 2010. She also received a certificate in Science, Technology and Environmental Policy in 2010 from Princeton. Before rejoining Princeton as an assistant professor in 2012, she conducted research in the Department of Earth, Atmospheric and Planetary Sciences at MIT as a NOAA Climate and Global Change Postdoctoral Fellow.

Currently a fellow of ASME, ASCE, EMI and HKIE, Ir Professor Lim received a B.Eng. from University of Technology of Malaysia, M.Eng. and PhD from National University of Singapore and Nanyang Technological University, respectively. Prior to joining City University of Hong Kong, he was a post-doctoral research fellow at The University of Queensland and The University of Hong Kong. He is also a visiting professor at various universities worldwide. He has expertise in theory of plates and shells, dynamics of smart piezoelectric structures, nanomechanics, metamaterials and symplectic elasticity. He is currently the subject editor for Journal of Sound and Vibration, joint-editor for Journal of Mechanics of Material and Structures, subject editor for Applied Mathematical Modelling, Managing Editor (Asia-Pacific Region) for Journal of Vibration Engineering & Technologies, Associate Editor for International Journal of Bifurcation and Chaos, etc. and also on the editorial board of some other top-ranked international journals. He has published one very well-selling title entitled “Symplectic Elasticity”, co-authored with W.A. Yao and W.X. Zhong from Dalian University of Technology, as recorded by the publisher, World Scientific, in Engineering Mechanics and Mechanical Engineering. He has published more than 350 international journal papers and have more than 12,000 citations. Recently Professor Lim was awarded the prestigious 2020 JN Reddy Medal as a recognition “for significant and original contributions to vibration of plates and shells, smart piezoelectric structures, nanomechanics, and symplectic elasticity”. He will deliver a plenary lecture and chair another plenary lecture at WCCM-APACM 2022, the largest biennial meet for computational scientists worldwide. He was also previously awarded Top Referees in 2009, Proceedings A, The Royal Society. Professor Lim is a registered professional engineer in Hong Kong.

Prof. Lee received his Ph.D. degree from the Department of Mechanical Engineering at the KAIST in 1986. He joined POSTECH (Pohang University of Science and Technology) as a faculty member on January of 1987. He is an international leader in bio-fluid flows, biomimicry and experimental fluid dynamics. He was elected as an APS (American Physics Society) fellow, for his contribution to experimental fluid mechanics, development of advanced flow visualization techniques and their applications to bio-fluid flows, micro/nano-fluidics and nature-inspired technologies. Prof. Lee’s achievement was recognized by the National Medal of Science (2017) and he was elected to be the POSTECH University Professor on 2017. He has served as the president of several academic societies and the chairman of various conferences and workshops. He is working as director of BBRC (Center for Biofluid and Biomimic Research), sponsored by National Research Foundation, Korea.

Dr. Wei is currently a principle researcher at Huawei German Research Center. He received a PhD from the University of Wales in 2010. Dr. Wei’s research interests include optics communications, photonics switching/signal processing, advanced modulation/coding, digital signal processing, algorithms, and machine learning. He edited one book and (co-)authored over 170 peer-reviewed journal/conference papers including more than 15 invited. He holds several US/European patents. Dr. Wei is a Marie Curie fellow and a senior member of IEEE.

Dr. Hua’s research has centered on the development and application of novel MRI technologies for in vivo functional and physiological imaging in the brain. These include the development of human and animal MRI methods to measure functional brain activities, cerebral perfusion and oxygen metabolism at high (3 Tesla) and ultra-high (7 Tesla and above) magnetic fields. He is particularly interested in novel MRI approaches to image small blood and lymphatic vessels in the brain. Collaborating with clinical investigators, these techniques have been applied to detect functional, vascular and metabolic abnormalities in the brain in neurodegenerative diseases.

Lin William Cong is the Rudd Family Professor of Management and a tenured Professor of Finance at the Johnson Graduate School of Management at Cornell University, where he is the founding faculty director for the FinTech Initiative and the founder of the Digital Economy and Financial Technology (DEFT) Lab. He is also a Finance editor at the Management Science, an associate editor for multiple leading academic journals, a Research Associate (Asset Pricing) at the National Bureau of Economic Research (NBER), a Kauffman Foundation Junior Faculty Fellow, founder of multiple international research forums, a Poets & Quants World Best Business School Professor, and a 2022 Top 10 Quant Professor. Prior to joining Cornell, he served on the faculty of the Finance Group at the University of Chicago Booth School of Business where he created courses on “Quantimental Investment,” was doctoral fellow at the Stanford Institute for Innovation in Developing Economies, and a George Shultz Scholar at the Stanford Institute for Economic Policy Research. He has advised leading investment and FinTech firms including Ava Labs, Blackrock, Chainlink, DataYes, and Modular Asset management. He has also been consulted by or invited to advise government and regulatory agencies such as the Department of Justice, New York State Department of Financial Services, U.S. Securities and Exchange Commission, Bank of Canada, the FBI, and the New York State Office of Attorney General. Professor Cong’s research spans applied finance theory, FinTech, digital economy, entrepreneurship, and AI in finance. He and his coauthors are the first to introduce goal-oriented search and interpretable AI for finance, tokenomics that includes categorization of tokens, cryptocurrency pricing, and optimal token monetary policy design, centralization issues and dynamic incentives in blockchains and DeFi, and have developed tools for detecting market manipulation and better FinTech regulation, among others. He has won over 40 best paper prizes and research grants and is a highly sought-after keynote speaker at various international conferences and forums. He has also been invited to speak or teach at hundreds of world-renowned universities, venture funds, investment and trading shops, and government agencies such as IMF, Asset Management Association of China, Alibaba, SEC, and federal reserve banks. He received his Ph.D. in Finance and MS in Statistics from Stanford University, and A.M. in Physics jointly with A.B. in Math and Physics from Harvard University. Professor Cong’s website is www.linwilliamcong.com.

Dr. Aman Ullah is a Professor of Lipid Utilization – Renewable Resources for Industrial Processing in the Faculty of Agricultural, Life and Environmental Sciences at the University of Alberta. Dr. Ullah obtained Ph.D. (with distinction) in Chemical Sciences and Technologies from the University of Genoa, Italy by working together, as a visiting PhD scholar, at Southern Methodist University, Dallas, TX, USA. Dr. Ullah’s research is focused on the development of bioproducts/biomaterials from lipids and other renewable resources for different applications including packaging, drug delivery, wastewater and mine tailings remediation, and on drinking water monitoring/remediation in developing countries and First Nations communities. Dr. Ullah has highly productive research program, having attracted > $10 million in research funds over the years as PI & Co-PI from different granting agencies including NSERC (discovery, CRD and engage grants). Dr. Ullah has > 100 publications and 6 patent applications (4 granted). He has licensed 2 technologies to a new startup biorefinery in Alberta. He delivered 44 invited talks in US/Canada, Europe, Asia and Australia including several plenary and keynote lectures. He has supervised or co-supervised 66 highly qualified personnel (HQP) including undergraduate & graduate students, research associates/technicians and postdoctoral researchers. He served on 67 supervisory/examination committees and external examiner for 33 PhD theses. He is active in undergraduate and graduate teaching with responsibility for two courses and receives very strong USRI scores. Dr. Ullah received 18 awards including Canadian Rising Star award by “Grand Challenges Canada”, faculty of Agricultural, Life and Environmental Sciences “Research and Innovation Award”, and ASTech Award winner for the “33rd ASTech Innovation Awards”.

Sandra Pinelas is working as a professor in Military Academy and In 1995 December – 1999 March she is worked as a Assistant in Évora University. 1999 March – 2007 January, Assistant in Azores University and as a professor till 2007 April. Education and academic qualifications are completed her Ph.D. in 2007 in Mathematic Analysis at the Azores University and Msc in 1997 in Mathematic at the Évora University. In 1995 Graduation was completed in Mathematical Analysis at the Évora University. Professional Activities as Visiting Professor, During 2006, September, Munich University of Tecnology (Munique, Germany) and In 2009, February - March, Florida Institut of Tecnology (Melbourne, Florida, EUA) and In 2010, February – March, Florida Institut of Tecnology (Melbourne, Florida, EUA).

Dr. Wang is currently an associate professor of City University of Hong Kong. Dr. Wang is an internationally recognized expert in the field of micromechanical characterization and modeling of granular soils. His works over the past 20 years include the X-ray CT characterization of micro-structures and micro-morphologies of geomaterials, and the DEM modeling and analysis of fundamental soil behaviors of crushable sands and their applications in various kinds of geotechnical engineering problems such as pile foundation, slope stability and retaining structures, etc. Dr. Wang has received a number of prestigious international research awards including VEBLEO fellow 2022, International Association of Advanced Materials (IAAM) award 2022, Geotechnical Research Medal (UK Institution of Civil Engineers) 2011 and Higher Education Institutions Outstanding Research Award - Natural Science Award (the Ministry of Education of China) 2010. His research has attracted over 8 million HKD of external grants including the Research Grant Council (RGC) of Hong Kong SAR and National Science Foundation of China (NSFC). Dr. Wang currently serves as an Associate Editor of Géotechnique, and Editorial Board Member of Computers and Geotechnics, Journal of Rock Mechanics and Geotechnical Engineering, and Soils and Foundations. So far Dr. Wang has published over 90 SCI journal papers and delivered over 30 keynote/invited lectures, and has a Google Scholar H-index of 31. Dr. Wang is among the list of world's top 2% scientists in 2022.

Soshu Kirihara is a doctor of engineering and a professor of Joining and Welding Research Institute (JWRI), Osaka University, Japan. In his main investigation “Materials Tectonics as Sustainable Geoengineering” for environmental modifications and resource circulations, multi-dimensional structures were successfully fabricated to modulate energy and materials flows effectively. Ceramic and metal components were fabricated directly by smart additive manufacturing, design and evaluation (Smart MADE) using high power ultraviolet laser lithography. Original stereolithography systems were developed, and new start-up company “SK-Fine” was established through academic-industrial collaboration.

A graduate of the School of Architecture, University of Waterloo, Canada, Tris worked in Rome, Amsterdam, London and Vancouver before returning to Hong Kong. She has been awarded a broad range of academic research projects including urban revitalization schemes, district aspiration studies, waterfront planning research, sustainable development, heritage conservation and public engagements. In all of her work, Tris advocates an active approach to engaging community participation in the architecture and design. Tris’ work received the Royal Architectural Institute of Canada Roll of Honour, the Ontario Association of Architects’ Guild Medal, and an Outstanding Thesis Award in 2002. She is a recipient of the ‘40 under 40 Architectural Design Award’, a Green Building Award 2012 from the Hong Kong Green Building Council and the The Hong Kong Education Leadership Award 2019 by the Asian Confederation of Businesses. She was one of the curators for the 2012 Hong Kong / Shenzhen Bi-City Biennale for Urbanism and Architecture and an exhibitor for the 13th Architecture Biennale in Venice. She has published a number of architecture books, including Sustainable Revitalization (ISBN 9789881602015), WE OWN THE CITY (ISBN 9789078088912), and contributed to The Towers of Choices by Winy Mass and NAI (ISBN 9789462083745), Hong Kong –Barcelona Urban Exchange (ISBN 9789881693006) and Building Materials and Technology in Hong Kong (2018) (ISBN 9789888390984).

Sajung Yun is CEO of Predictiv. He is also a scientist and adjunct professor at Johns Hopkins University in bioinformatics where he is teaching genome analysis class at the graduate school. After completing his Ph.D in Biomedical Sciences, Sajung joined the National Institutes of Health on a post-doctoral research fellowship for genetic engineering. During that time, Sajung also followed an MBA at Johns Hopkins University on Healthcare Management and entrepreneurship. Sajung’s first startup was AI physician project and the second one was a telemedicine project. Sajung also gives lectures on personalized precision medicine occasionally.

Professor Neményi graduated from Budapest University of Technology as a mechanical engineer. He began his professional career at an agricultural engineering college and, after seven years, transitioned to the Faculty of Agricultural and Food Sciences at the University of West Hungary. He spent three years in Germany as a guest researcher and professor at various institutions, including TU Munich, Jade University of Applied Sciences in Wilhelmshaven, and the University of Hohenheim. From 2006 to 2010, he served as the vice-president of the European Society of Agricultural Engineers. Currently, he holds positions as a guest professor and faculty member at Vienna University of Technology. Between January 2008 and December 2012, he served as the vice rector of the University of West Hungary, overseeing research and international relations. Professor Neményi's research primarily focuses on the development of methods for sustainable precision crop production and the modeling of climate change's impact on crop production. His recent research topic is Agro-IoT, which aims to integrate Internet of Things technologies into precision agriculture, promoting environmental sustainability. He is a fellow of the Hungarian (National) Academy of Sciences, where he serves as the Chairman of the Agricultural and Biosystems Engineering Scientific Committee. Additionally, he holds the position of professor emeritus at the Széchenyi István University, Department of Biosystems Engineering and Precision Technologies, specifically at the Albert Kázmér Faculty.

Shuxin Yang is a PhD candidate in Economics at Waseda University. Her research focuses on the term structure of equity and the stock market. Shuxin's work seeks to understand the dynamics of stock prices across different maturities and the factors that drive these dynamics. Prior to pursuing her PhD, Shuxin earned a Bachelor's degree in Accounting and Finance from the De Montfort University and a Master's degree in Finance from Bayes (previously, Cass) Business School. She also gained experience in the financial industry by working as a quantitative analyst for a major investment bank in Tokyo. Shuxin's research has been presented at several academic conferences. She is particularly interested in exploring the implications of the term structure of equity for asset pricing, portfolio allocation, and risk management. Through her research, Shuxin aims to contribute to the development of innovative investment strategies that can help investors better understand and manage risk in the stock market.

Trained at the University of Girona (UdG), Spain. Master in Psychology at Autonomous University Barcelona (UAB), Spain. Clinical Psychologist and active cognitive behavioural psychotherapist in Munich, Germany and Spain. Master's Degree in Behavioural Medicine (UAB); Research Proficiency in Psychiatry and Medical Psychology (UAB). European Certificate of Psychotherapy (EUROPSY), World Certificate of Psychotherapy (WCP). Coach certificate. Certificate as Supervisor of medical psychotherapists and psychologists with a cognitive behavioural orientation by the official Bavarian School of Psychotherapy in Munich, Germany. Specialised in emotional intelligence skills by the EISkills Group of Yale University, MSCEIT ™ Mayer-Salovey-Caruso Certificate in Emotional Intelligence. Lecturer at the International University IU in Psychology in Munich,and lecturer at the Master of Aviation Psychology in Spain, at the Department of Aviation Psychology of the Colegio de Psicólogos de Madrid. Certified as an Aviation Psychologist and member of the Working Group of Madrid and BarcelonaChamber of Psychologists in Aviation Psychology. An aerospace psychologistat Space Psychology department coordinator Lunex – EuroMoonMars in the Netherlands. Trainer of Alba Emoting™ and Breath Xpress techniques. Researcher at the University of Cadiz in the Department of Neuropsychology - Human Factors - Neuroteklab. Member of Barcelona, Madrid and Munich psychologists' chambers. Since 2020, I have been researching psychological and interpersonal issues affecting people working in space. Space simulation mission. My book includes The Dark and light sides of Leadershipand Collaboration at the book with Jara Pascual, chapter 4 of the book Innovation and Cooperation in the digital era, “The Secrets of Collaboration – using emotional intelligence for Innovation and Collaboration.” andseveral professional publications in clinical psychology and space psychology. For a month, I participated in a space simulation mission at HI-SEAS Hawaii as a pilot project for analogue tasks in space psychology, which is an ongoing project. My thirty years of experience and professional work in clinical psychology, psychotherapy and coaching with a cognitive-emotional approach and personality development in three different countries have shown me how important our emotions, actions and behaviours are for our existence. Currently, I work in my practice as a psychotherapist and run my own coaching company, "Windrose Global Advisors", an Active member of EuroSpaceHub in the Netherlands as a space psychologist. Member of EAAP (European Association of Aviation Psychology), member of SEPAC (asociación Española Psicología Aeroespacial y Aeronáutica Civil ) and Member of the SRI (Space Renaissance International).

Ersi-Iliana Savvopoulou is an Economist/Scientific Advisor at the Council of Economic Advisors at the Ministry of Finance of the Hellenic Republic. She currently represents Greece at the EU Economic and Financial Committee Sub-Committtee on IMF Issues. Previously, she has also worked in ship-financing, at the European Commission DG ECFIN, Morgan Stanley Investment Banking, as well as an economic policy analyst for WWF Hellas. Ersi-Iliana Savvopoulou holds a B.A. in Economics and a Certificate in Political Economy from Princeton University, where she dedicated her senior thesis to the study of sovereign debt crises and sovereign spreads, with a special emphasis on the Eurozone debt crisis. She holds an MSc in Finance from Imperial College Business School, where she also received the 2013-2014 Prize in Financial Econometrics. Her current research focuses on sovereign debt crises, the Greek debt crisis, sovereign spreads, the international financial architecture and financial markets. In 2021, she received her PhD in Economics from the National and Kapodistrian University of Athens. Her doctoral thesis is titled “Quantitative Models of Sovereign Risk & State-Contingent Debt.”

Gordana Ostojic is engineer of technology and master of chemical sciences in the field of general and applied chemistry. She has worked on several positions in the Quality control sector in "Alumina" company in Zvornik, Bosnia and Herzegovina, since 2000. During this period she has performed physico-chemical analysisof difference materials, like bauxite, red mud, aluminium hydroxide, aluminium oxide-alumina, zeolite, clay, aluminate solution. Her areas of interest include characterization of materials, multielement chemical analysis, analytical methods development and validation, evalution measurement uncertainty in chemicalanalysis, data processing, laboratory automation system.

Claudio Fernandez Martín is a driven and talented young researcher in the field of Deep Learning and Computational Pathology. As an Early-Stage Researcher in the CLARIFY Project, a European Marie Skłodowska-Curie Actions scholarship initiative from the European Union, he is working towards his PhD with the focus on the development of Deep Learning models for the prediction, diagnosis, prognosis, and treatment of Triple-Negative Breast Cancer in Whole-Slide Images. Claudio's academic journey began with his Bachelor's degree in Telecommunications Engineering at the Polytechnical University of Valencia (UPV), Spain. He furthered his education with a year of study at the Technical University of Munich, Germany, where he completed his Bachelor's Thesis in Saliency Prediction for 360º Virtual Reality Videos that received the honours degree at the UPV. Following that, he earned a Double Master's Degree in Human-Computer Interaction & Design + Entrepreneurship and Innovation from the EIT Digital (European Institute of Technology). During the first year of his master's, he studied at the University of Twente, Netherlands, and during the second year, he was at KTH Royal Institute of Technology, Sweden, where he conducted his Master's Thesis in Voice Cloning in collaboration with the CVBLab (Computer Vision and Behaviour Analysis Lab) from the UPV in Valencia, Spain. His current research at the CVBLab focuses on extracting significant features from medical images for the accurate prediction of the prognosis and diagnosis of Triple-Negative Breast Cancer. In this regard, he has specialized in the subfields of Automatic Mitoses Detection, Molecular Subtypes Prediction, and Recurrence prediction. His most recent research, "Challenging mitosis detection algorithms: Global labels allow centroid localization," was presented at the IDEAL2022 Conference in Manchester, UK, where it was awarded as the Best Paper of the Conference. In addition to his research, Claudio has also gained valuable experience as a visiting researcher at the Stavanger University Hospital and the Stavanger University in Norway and the Department of Computer Science and Artificial Intelligence of the University of Granada in Spain. His exceptional research skills and dedication have led him to be invited to speak at the ASETMEET2023 Conference in Vancouver, Canada, where he will share his latest research findings and insights with other professionals in the field of Deep Learning and Computational Pathology.

Jason Colwell holds the position of Associate Professor of Mathematics at Northwest Nazarene University in Nampa, Idaho. Raised in Edmonton, Canada, Jason Colwell received his B.Sc. and M.Sc. in Mathematics from the University of Alberta. After earning his Ph.D. in Mathematics from the California Institute of Technology, he has enjoyed applying his mathematical skills in a variety of contexts. His work has ranged from wildland fire ecology (involving image processing and data science), to philosophy (concerning theological arguments), to agricultural engineering (on the topic of machine vision), to consulting work (involving combinatorics). Most recently, he has solved a 40-year-old problem in theoretical chemistry on the subject of homochirality, which is critical in the study of the origins of life.

Aldo Pereira is Assistant Professor at the Department of Mathematics, Universidad de La Serena, in Chile. He received a Ph. D. degree at Universidad de Talca (Chile), and had a postdoctoral position at Universidade de Brasilia (Brazil). His principal area of research is Functional Analysis, with emphasis in qualitative theory of differential equations, and dynamic equations on time scales.

Maggie Aphane is a PhD holder in Mathematics from University of South Africa(UNISA). Her area of specialization is Topology asymmetric structures. She is currently the head of department of Mathematics and Applied Mathematics, a senior lecturer at Sefako Makgatho Health Sciences University in South Africa, a node leader for the Centre of Excellence in Mathematical and Statistical Science (CoE-MASS) and a member of scientific committee called South African Mathematical Society. She is also interested on optimization, fixed-point results and some other mathematical aspects.

Dr. Sadeq Damrah is currently an Assistant Professor of Mathematics at the Australian University - Kuwait. He taught various courses of mathematics including Calculus, Statistics and Differential Equations. His focus in teaching is to emphasize on applications of mathematics in engineering and other industries. In addition to expertise in mathematics teaching, his core research interests included applications of mathematics in engineering and finance. Dr. Sadeq is a former competitive swimmer, national champion and a swimming coach.

Currently teaching at Hochschule Geisenheim University‘s Bachelor Degrees (Weinbau und Oenologie, Getränke technologie, Internationale Weinwirtschaft and International Wine Business) and in the Master’s Degrees (Oenologie, Vinifera Euro Master, Vitis Vinum and Weinbau, Oenologie und Weinwirtschaft). In addition, lecuturing at L’Institut Agro Montpellier in frame of the Vinifera Euro Master (Wine Processing). Scientific expert of the Federal Republic of Germany at the Organisation de la Vigne et du Vin (OIV) in Paris.

Kun Wang is an Applied Scientist at Amazon Robotics. He obtained a PhD degree from Rutgers University in 2022. He has worked in the field of tensegrity robotics and differentiable simulation. In addition, he has published numerous papers in well-recognized journals and conferences such as IJRR, ICRA, IROS, etc.

Ophir Nave is a researcher at the Jerusalem College of Technology. His main areas of interest are applied mathematics in the fields of engineering, combustion, biology, medicine, and education. In the combustion research area, he specialized in combustion processes of monodisperse and polydisperse fuel spray in diesel engines, computation of the delay time, and applying asymptotical method for mathematical model of spray combustion. In the field of application medicine, He specialized in mathematical models describing the connections between different cancerous tumors such as bladder cancer, breast cancer, prostate cancer, and brain tumors, the treatment, and the immune system. Immunotherapeutic treatments.

Full Professor in Technical Sciences, Dean of the Faculty of Organization and Management at the Silesian University of Technology in Poland. An expert cooperating with many institutions, including the National Center for Research and Development. In 2010-2020: Vice-President and Member of the Presidium of the Committee on Production Engineering, Polish Academy of Sciences. Co-founder and elected chairman of the Polish Society for Technology Assessment. 2007 - 2015: Member of the Parliament (Sejm) of the Republic of Poland, Chairman of the Parliamentary Sub-Committee on Science and Higher Education, Vice Chairman of the Parliamentary Committee on Innovation and New Technologies. Member of the Polish delegation to the Parliamentary Assembly of the Council of Europe. Areas of Scientific Interests: Production Engineering, Innovation Management, Assessment of Social Impact of New Technologies, and Products (Technology Assessment - TA), Maintenance Management, Engineering of Acoustical Environment, Computer-Aided Engineering, SMART CITY, INDUSTRY 4.0; Areas of Research Projects: implementing and assessing innovations, management of data from maintenance from technical systems, implementations of expertise of CMMs class (Computerized Maintenance Management systems) and ERP (Enterprise Resource Planning) in industrial practice, development of acoustic maps using GIS technology, implementation of the Industry 4.0 paradigm in MSME's (Micro-, Small- and Medium-sized Enterprises), practical aspects of the SMART CITY concept systems, implementations of tools of CMMs class (Computerized Maintenance Management systems) and ERP (Enterprise Resource Planning) in industrial practice, development of acoustic maps using GIS technology, implementation of the Industry 4.0 paradigm in MSME's (Micro-, Small- and Medium-sized Enterprises), practical aspects of the SMART CITY concept.

Gulden Haspolat is a principal researcher at the Aegean Agricultural Research Institute and head of the Department of Horticulture. She received her Ph.D. from the University of Aegean in 2011. She was a visiting scientist at the University of California, Davis at the Department of Plant Science in 2012 and 2014. Her research interests are plant genetic resources, plant breeding, and plant tissue culture techniques. Her studies are focussed on ornamental plants.

Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after 14 years as a Senior Lecture at Swansea University in the UK. He obtained his PhD degree from the University of Alberta in Canada, and the MSc and BSc degrees from the Czech Technical University of Prague in the Czech Republic. He is a Senior Member of the IEEE, a Fellow of the Higher Education Academy in the UK, and a Recognized Research Supervisor of the UK Council for Graduate Education. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and classical machine learning for multi-sensor data in biomedicine, computational molecular biology, and in wireless communications.

Dr. of Sc., Prof., Member (Academician) of Georgian National Academy of Science Kartlos Joseph Kachiashvili is Professor of Georgian Technical University, Faculty of Informatics and Control Systems. He also is Senior Scientific Worker of the I. Vekua Institute of Applied Mathematics of the Tbilisi State University (Tbilisi, Georgia) and Principal Scientific Worker of Muskhelishvili Institute of Computational Mathematics of the Georgian Technical University. He was working in many scientific research institutes and universities in Georgia, Russia and Pakistan on the positions: engineer, scientific worker, Head of Laboratory, Head of Department, Head of National Center, Professor, Rector of Institute. He has 236 scientific papers published in various esteemed reputable International Journals. He is a Member of Various (30) Professional Bodies and Editorial Boards of international scientific journals. Among them 4 journals have impact factor and two is included in the SCOPUS data base. He published six monographs and four text-books in Georgia, Ukraine, USA and Indonesia. He has received many prestigious awards and rewards. His research interests are: Mathematical Statistics, Data Analysis (Environmental, Agricultural, Medical), Mathematical Mo¬deling and Simulation, New Computer Technologies Development, System Analysis (Environmental Water Pollution), Com¬pu¬ting Mathematics.

Sarah V. Ramos is Doctor of Philosophy in Education Administration major in Higher Education (HEDA) from Ateneo de Davao University along with (Ph.D. Candidate). she completed Master of English in Applied Linguistics from University of Southeastern Philippines. Sarah V. Ramos eligibility in Licensure Examination for Teachers, National Certificate II in Food Processing and National Certificate II in Bread and Pastry Production.

Suzana Arnaut fields are Physics, Materials Science, Nanotechnology and her current position is Professor of physics in First Kragujevac Gymnasium (Elite Gymnasium of National priorities - 19 years experience and teaching work) and Mentor at the Center for Talents – Serbia. Her area is electrical and computer engineering, University of Kragujevac, Faculty of Technical Sciences Čačak.

Naina Chaturvedi is a woman in Tech with work experience of 6.3 years in Tech as a software Engineer, research experience of 2 years and a member of ACM, ACM-W, oSTEM, Google’s Women Tech Maker, Anita Borg Tech Mentor, Grace Hopper Celebration, Society of Women Engineers, AISES, Women Engineering Society UK, National Center for Women & Information Technology (NCWIT), Women who code. She had pursued her Bachelors and Masters in Computer Science from the USA with full scholarship. She is an upcoming PhD Computer Science at Rutgers University.

Nyi Nyi Linn received his Bachelor of Engineering (B.E), and Master of Engineering (M.E) degreesin 2008 and 2013, respectively.He is currently pursuing the Ph.D. degree at School of Information and Electronics Engineering, Beihang University, Beijing, China. His research interests include vehicular ad hoc networks and satellite communication.

Sepehr Janghorbani is a final year doctoral student at Rutgers University, NJ, USA, where he is currently working on designing novel machine learning methods to address problems in computer vision and natural language processing. Sepehr’s research spans a wide variety of topics in machine learning including self-supervised generative modeling, scalable computer vision and scene understanding, analysis of vision-language models, and self-supervised natural language understanding systems. Prior to his PhD studies, Sepehr received his master of science in computer science with a concentration in machine learning from Rutgers University and his BSc in computer engineering from Sharif University of Technology graduating at the top of his class. In addition to his academic contributions, he has also worked as part of the research and development team in companies such as Apple and Disney research, implementing his research ideas in industrial settings. Sepehr’s work has been published in some of the top conferences and journals in the field including ICLR, NAACL, and AAMAS. He has also been serving as a peer-reviewer for numerous publication outlets including AAAI, EMNLP, EACL, TIP, TCSVT, etc, as well as serving as a program committee member on the Web Conference.

Astutyis a professor at Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM).During her more than 30 years in UTM she has served the faculty and the university as a Dean of faculty, Deputy Dean of Graduate School, Postgraduate Academic Manager, Head of laboratories and also Operation Manager for Executive programme. She was also the secretary for Malaysia Postgraduate Dean Council and currently a member for Board of Directors, Asia Professional Education Network hosted by Advanced Institute of Industrial Technology (AIIT), Tokyo, Japan. She received her Bachelor in Materials Eng. (pioneer batch) from Universiti Sains Malaysia in 1988, MSc in Corrosion Sc. and Eng. from UMIST, UK and PhD (Mechanical) from UTM in 2005. Her research interest is devoted to Materials Engineering specifically on high temperature oxidation of alloys, compositional modification of newly developed (α+β)Ti-Alloys, developing Accelerated Corrosion Test Procedures for Malaysia automotive industry, Life Assessment of Oxidized Supercritical Tubes in Power Generation Boilers, Ultraviolet Treatment for MIC of steels and rejuvenation of Ni-Cr superalloy turbine blade. She was appointed as a Visiting Professor at Sudan University of Science and Technology and also has been annually appointed as a Visiting Professor at King Mongkut’s University of Technology Thonburi, Bangkok, Thailand since 2015. She is also a panel of expert for several universities in the area of Materials and Corrosion engineering.

Xinglong Zhang is a master student in the College of Computer Science and Electronic Engineering, Hunan University. He works on blockchain and big data.

Chen Wenhui received a Ph.D degree from Pai Chai University, Korea and currently working in Hengyang Normal University, China. His research interests include machine learning, machine motion control, automation and other fields. He has work and research experience in machine vision, robotics, industrial control and other fields. Some papers have been published in SCI and Scopus journals.

Han Dedong received a Ph.D degree from Peking University and is working as an Associate Professor in School of Integrated Circuits, Peking University. His research interests include new semiconductor materials and devices, flexible electronics, new thin film transistors, and nanotechnology. He has published more than 100 scientific papers and applied for more than 50 patents.

PhD Student in chemistry, research, and development at the University Hassan II of Casablanca – Morocco; faculty of sciences ben m’sick, laboratory of physical chemistry, materials and catalysis. And Higher School of Textile and Apparel industry (ESITH)- Laboratory of textile materials research (REMTEX). With a master's degree in Materials and Energy, a bachelor’s degree in chemistry of Materials and Environment.

Guofeng Cui is currently a third year Ph.D. student in computer science department of Rutgers University. His research focuses on automated programming and machine learning, namely neurosymbolic programming. He investigates to apply neural program synthesis for interpretable and more reliable model to solve deep learning and reinforcement learning tasks.

Dr. Berardi is Canada Research Chair in Building Science, Full Professor, and Director of the BeTOP center at Ryerson University in Toronto, Canada. Dr. Berardi’s publications have received 14,000 citations in Google Scholar, where he has an h-index of 51, while the Scopus database counts over 9,000 citations and an h-index of 43.

Dr. Lixin Wang is currently a Professor of Computer Science at Columbus State University, Columbus, Georgia. He holds a Ph.D. degree in Computer Science from Illinois Institute of Technology, Chicago IL. His research interests include Network Security, Intrusion Detection Systems, Wireless Networks, Algorithm Design and Analysis. He has been conducting top quality research in these areas and published 54+ peer-reviewed high-quality research papers, most of which are published in leading journals or top-tier conferences in Computer Science. Since 2011, Dr. Wang has been awarded ten federal grants (from NSA, NSF, US Army Reserve, US Department of Energy, or US Department of Education) as the PI or Co-PI with the total awarded amount more than US$2.6 million. Dr. Wang is currently serving (or served in recent years) as an editor/guest editor for five academic journals in Computer Science, including journal special issues. He served as a keynote speaker for the international conference ICWCNT 2016.