International Conference on
Machine Learning Applications in Healthcare

Bijan Tadayon (Ph.D., JD) has been involved with several startup hi-tech companies and their technologies. Currently, his focus is on research and development in artificial intelligence, pattern recognition, classifiers, machine learning, neural networks, efficient/fast image analysis/processing algorithms, deep image analysis, video analysis, object recognition, face recognition, soft computing, information theory, analytics, Big Data analysis, information reliability, search engines, and application of images in ad networks. For 5 years, he was the one of the inventors and the Director of Intellectual Properties at ContentGuard, Inc., a major DRM company, which is a Xerox-PARC spin-off, jointly invested by Microsoft, Time Warner, and Thomson. He co-founded an educational multi-media software game company. He worked for the US Naval Research Lab for more than 5 years, as a semiconductor researcher. In the early 1990s, he and his brother designed and fabricated the fastest transistor in the world in its class. He has expertise and experience in many diverse technical fields, including artificial intelligence, image recognition, Deep Learning, Digital Rights Management (DRM), encryption, semiconductors, transistors, and software game. He has had more than 80 technical journal publications and presentations and more than 100 pending or issued the US and foreign patents in various technical fields. He has also participated in various scientific and technical conference program committees. He got his Ph.D. degree from Cornell University (related to semiconductors and circuits, with Prof. Lester Eastman). He got his BS degree in Applied & Engineering Physics from Cornell, ranking second in his Class. He got his law degree from Georgetown Law School. He has given 25 invited technical and IP lectures at the US Patent Office. He was involved in the Patent Office Training Advisory Board and Work Sharing Roundtable at the US Patent Office (USPTO). He is a former Primary Patent Examiner and a former Patent Examiner Trainer at the USPTO.

Artificial Intelligence, Explainable-AI, General-AI, pattern recognition, classifiers, machine learning, neural networks, deep image analysis, video analysis, object recognition, face recognition, image recognition, soft computing, Fuzzy Logic, information theory, analytics, Big Data analysis, information reliability, search engines, and application of images in e-commerce (for the foundation of first Image Ad Network & Image Referral Network).

Albu Adina-Victoria, Head of industrial management in textiles and leather work department. Teacher, lecturer in leather works and shoe technology, raw materials, automotive materials. She was a faculty of Energetic Engineering during the year 2011-2014 at University of Oradea.

Materials, Biomechanics and Nanomaterials.

Prof. Yu-Dong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. Now he serves as Professor with the School of Computing and Mathematical Sciences, University of Leicester, UK. He is the Fellow of IET (FIET), and Senior Members of IEEE, IES, and ACM. He was the 2019 recipient of Web of Science Highly Cited Researcher. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, British Council, and NSFC.

Deep Learning and Medical Image Analysis.

Prof. Safya MEDIMAGH BELGHITH has received her engineering diploma in Electrical Engineering and her Master's and the PhD degree in Automatic and Signal Processing from the High School of Electricity, Lab Signals & Systems, (LSS Supelec) University Paris XI France. She has received her Statute Doctorate in Physical Sciences from the Faculty of Sciences Tunis FST with the collaboration of the Laboratory Signals & Systems. She is now Professor at the National School of Engineering Tunis and head of Research Laboratory (Robotique Informatique et Systèmes Complexes RISC) at ENIT, University Tunis El Manar, Tunisia. Her research domain is focused on the analysis of nonlinear systems and chaos. She has published various research articles on Mathematical Modelling, Numerical Analysis, Robotics, and Algorithms.

Robotics, Computing and Complex Systems

Dr. Mohamed TAHIRI is currently a full professor of Chemistry, water, Bio-energy and environment engineering, Chemical Risks, Climate changes and Air Pollution, Environment account, Jewelry and surface treatments, at Ain Chock’s Sciences Faculty of Hassan II University of Casablanca (1987-now) Since January 2010, he’s Chair holder of UNCHAIN-UH2C (University Chair on Innovation). As part of his TEMPUS-supported role, Mohamed TAHIRI has received extensive training in Europe on Innovation, technology Transfer, Intellectual Property Rights and innovation Management.

Organic Substances, Extraction and Valorization

Professor Perkowski received his M.S. degree in electronics in 1970 and his PhD degree in automatic control in 1980 He has been on the faculty of Warsaw Technical University, The University of Minnesota, Minneapolis, and the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. He has been a Visiting Faculty Member at the Technical University of Eindhoven, The Netherlands, the University of Montpellier, France, and Kyushu Institute of Technology, Japan. He worked as a Summer Professor at Intel, GTE, and Sharp, and was a Consultant to several companies including Cypress Semiconductor. Dr. Perkowski is the Chair of the IEEE Computer Society Technical Committee on Multiple-Valued Logic. Dr. Perkowski has published over 100 journal and conference papers. Senior Member IEEE and Member Association for Computing Machinery.

Quantum computing, Automated synthesis of quantum and reversible circuits, Testing of quantum circuits, Quantum computational intelligence with intelligent robotics applications.

Ramon Castellanos set of medical credentials includes Board Certified by the American Academy of Medical Specialties in Physical Medicine & Rehabilitation. Interventional Pain Management. Assistant Professor of Neurological Science at Florida International University. Dr. Castellanos" extensive training and education were attained from top-ranking universities including University of South Florida College of Medicine - 2002 State University of New York -Health Science Center at Stony Brook - 2001 Cornell University Medical College NY Hospital - 1998 Institute of Superior Medical Science of Havana - 1987 In addition, Dr. Castellanos has developed several highly specialized products, tools and even patented technique (called Prometheus ®) to help him be at the forefront in his medical practice

Pharmacological profiling of amino acid signaling in neuronal and non-neuronal cells using molecular biological techniques, development of dietary supplements beneficial for the prophylaxis and/or treatment of different diseases

Yukio Yoneda has completed his Ph.D. at the Kyoto Prefectural University of Medicine. He is the Professor Emeritus in Kanazawa University, where he worked as a Chairman Professor of Pharmacology from 1999 to 2015. In 1980-1981, he worked with the late Dr. Eugene Roberts, who was the finder of GABA in the brain, at the City of Hope Research Institute, USA. He has published more than 300 original research papers and is serving as an Associate Editor in several reputed international journals such as Neurochemistry International, Neurochemical Research, and Journal of Neuroscience Research, in addition to playing a role as an Editorial Board member in other scientific journals. His research interests have been lying in the pharmacological profiling of amino acid signaling in neuronal and non-neuronal cells using molecular biological techniques. As a return of laboratory experimental results to the community, he is now focusing on the development of dietary supplements beneficial for the prophylaxis and/or treatment of different diseases, in addition to collaborating with domestic and foreign academic colleagues.

Pharmacological profiling of amino acid signaling in neuronal and non-neuronal cells using molecular biological techniques, development of dietary supplements beneficial for the prophylaxis and/or treatment of different diseases

Sergey Suchkov was born in the City of Astrakhan, Russia, in a family of dynasty medical doctors. In 1980, graduated from Astrakhan State Medical University and was awarded MD. In 1985, maintained his Ph.D. as a Ph.D. student of the I.M. Sechenov Moscow Medical Academy and Institute of Medical Enzymology, USSR Academy of Medical Sciences, Moscow, Russia. In 2001, finished the PostDoc Research Fellowship Program and maintained his Doctor Degree at the National Institute of Immunology, Russia. From 1985 through 1987, worked at Inst of Med Enzymology, USSR Academy of Medical Sciences. From 1987 through 1989, was a senior Researcher, at Koltzov Inst of Developmental Biology, USSR Academy of Sciences. From 1989 through 1995, was being a Head of the Lab of Clinical Immunology and Immunobiotechnology, Helmholtz Eye Research Inst in Moscow. From 1995 through 2004, was being the Chairman of the Dept for Clinical Immunology, Moscow Clinical Research Institute (MONI-KI), and the Immunologist-in-Chief of the Moscow Regional Ministry of Health. In 1993-1996, was an Executive Secretary-in-Chief of the Editorial Board, of Biomedical Science, an international journal published jointly by the USSR Academy of Sciences and the Royal Society of Chemistry, UK. Dr Suchkov is a Co-Supervisor over the Russian-American Agreement on scientific and clinical collaborations in the field of ocular immunology between the Russian Academy of Sciences and National Institutes of Health (NIH); in 1991-1995 – a member of The Reciprocal Exchange Fellowship Program between the Russian Immunological Society and British Society for Immunology. Dr Suchkov is a member of the Editorial Boards of many international journals including EPMA Journal (Springer, Brussels) and “Personalized Medicine Universe” (Elsevier, Japan).

Advanced healthcare and robust platform for relevant industrial branches for diagnostics and pharmaceutics

Marina Tarunina, research director at Plasticell Ltd, is an experienced scientist with broad knowledge across different aspects of stem cell therapy development and commercialization. She plays a major role in driving Plasticell’s internal R&D and external scientific collaborations on stem cell technologies. She joined Plasticell 10 years ago and was involved in the development of Plasticell’s main technological platform CombiCult® and its multiple applications in different areas of stem cell biology. Prior to joining Plasticell, she worked as a senior scientist at Inpharmatica Ltd focusing on drug discovery in the therapeutic area of metabolic diseases. Her academic career includes postdoctoral fellowships at Ludwig Institute for Cancer Research and Marie Curie Research Institute where she conducted research on tumor suppressors and senescence.

Research on tumour suppressors and senescence

Marja Nevalainen, MD, Ph.D. is an internationally recognized leader in the field of cytokine and steroid hormone signaling in prostate cancer. The focus of her laboratory is on translational research on prostate cancer and pancreatic cancer to develop and improve diagnostics and develop new therapies. Dr. Nevalainen holds the title of Eminent Scholar at MCW. She is also the Director of Prostate Cancer Center of Excellence at MCW Cancer Center, which is a multi-disciplinary hub for prostate cancer research within the institution with an international collaborative network. Dr. Nevalainen serves as Assistant Dean for Research at MCW, and Associate Director of Education for the MCW Cancer Center. Her primary appointment is in the Department of Pathology, and a secondary appointment in the Department of Pharmacology and Toxicology.

Pharmacological profiling of amino acid signaling in neuronal and non-neuronal cells using molecular biological techniques, development of dietary supplements beneficial for the prophylaxis and/or treatment of different diseases

Dr. Asadi Srinivasulu received his B. Tech in Computer Science Engineering (CSE) from Sri Venkateswara University, Tirupati, Andhra Pradesh in 2000. He completed his M. Tech in Intelligent Systems (IS) from the Indian Institute of Information Technology (IIIT), Allahabad, and Uttar Pradesh in 2004. He earned his Ph.D. from J.N.T.U.A, Anantapur, India, under the supervision of Prof. Ch. D. V. Subbarao. Currently, he is pursuing a double Ph.D. in the scheme of a working professional with a specialization in Data Science (IT) at the Indian Institute of Information Technology, Allahabad (IIIT-Allahabad) under the supervision of Prof. Anupam Agrawal. Dr. Asadi is also working as the Head-Research & OpenLabs of Information Technology at BlueCrest University, Monrovia, Liberia, and as a Subject Matter Expert (SME) at Deloitte, Delhi. He has 20 years of teaching and industrial experience and served as the Head of the Department of Information Technology at S.V College of Engineering, Tirupati from 2007-2009. He has 07 IBM Professional Certifications to his credit such as RAD, RFT, DB2, RTC, TDS, LOTUS Domino, and WID. He has 02 Microsoft, 03 edX, 02 TechGig Professional Certifications, 02 Cybrary Micro Certifications, 02 uDemy Certifications on Python, 02 Solo Learn certifications on C++, 09 NPTEL Certifications, and 04 Spoken Tutorial Project Certifications from IIT-Bombay. His area of interest includes Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, and Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning, and Software Engineering. He is a professional member of IEEE (97608096), SCOPUS ID: 57191070975, Web of Science Researcher ID: B-9382-2018, CSI, ACM, ISTE, IAENG, IACSIT, ICST, SCIEI, VSRDIJ, NASSCOM, ASDF, Meetingfora, and ICA (Indian Congress Association). He is an Editorial Board member of i-manager’s Journal on Cloud Computing (JCC), SCIERA Journal of Computers, and International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE). He is also an Editorial Member of Journal of Advances in Management Sciences & Information Systems and an Associate Editor of the International Journal of Research Innovations in Engineering Education. He is a professional reviewer for Springer Nature, World Journal of Engineering, IEEE, Springer, Elsevier, Inderscience, Hindawi, CSI, Journal of Advances in Management Sciences & Information Systems (JAMSIS-USA), Data Mining & Knowledge DEPARTMENT OF INFORMATION TECHNOLOGY 2 Management, IAENG, and VSRD-CSIT. Throughout his career, he has performed various roles such as HOD, R&D, NBA, BOS, NAAC, TEQIP-II, IIIC, NPTEL, EDC, TGMC, AICTE-SIP, STP, and IBM CoE Coordinator. He has guided 3 Ph.D. students and 5 students who are pursuing their Ph.D., as well as 14 M. Tech and 62 B. Tech students. He has published over 196 papers (23 in SCI, 16 in Scopus & WOS, with the remaining UGC listed) in international journals and conferences. He has attended over 195 workshops, symposiums, and seminars, and he has conducted and acted as a resource person for more than 115 international or national conferences, workshops, symposiums, and seminars. He has published 5 textbooks (Data Science Applications using Python Programming, Data Science, Machine Learning Techniques, Methodologies for Software Testing), with 1 book under review (Machine Learning), and 12 book chapters. Additionally, he has obtained 2 patents to his credit. He has received 2 DST-SERB seminar grants worth of RS. 1 Lakh and 9 Lakhs. Some of his publications are listed in digital libraries such as Springer Nature, IEEE Xplorer, Elsevier Xplorer, Springer Xplorer, SCI Indexed, Scopus, Web of Science, World Journal of Engineering, IGI Global, IJCA, Bookman International Journal (Free), IJAIS, IJCSNS, JACRIJ, DOAJ, PDF DIGITAL LIBRARY, IJCSET, IJCSIT, IJARCET, IJARCSSE, Horizon Publication, Helix, IJEECS, CSI, and COGNIZANCE Journals. He received the "Bharat Vidya Ratan" national award from the International Business Council, Delhi, on December 14th, 2018. He also received the "Best IT Teacher of the Year" award for the state ITAP-2020 from ITAP & Tutors Pride, Hyderabad. In addition, he received the "Lifetime Achievement Excellence Award 2022" from Research India Foundation (RIF) on September 5th, 2022. He has received numerous other awards, including best mentorship from IBM-TGMC Challenge Contest and Microsoft in 2011 and 2012, best SPOC of NPTEL-SWAYAM, best SPOC of STP-IIT Bombay in 2019, and the best mentor Internship award from Internshala-AICTE, Delhi, in 2019. He also received the Best International Scientific Researcher award from Research India Foundation (RIF) in 2022, and the "Outstanding Teacher Award 2022" for the academic year 2022-23, from Research India Foundation (RIF). He has visited many countries, including Malaysia, Thailand, Singapore, Ghana, Kenya, Ethiopia, Dubai, and Liberia.

His area of interest includes Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, and Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning, and Software Engineering.

Devika Madalli is a Professor of the Documentation Research and Training Centre, Indian Statistical Institute and Adjunct faculty, DISI, University of Trento, Italy. Her interest lies in the area of OERs and Educational resources repositories, Open Data Repositories and Data Management, Knowledge Organization and application of facetization in Information Systems, Information Infrastructures, Digital Libraries, Semantic Web technologies, Faceted Ontologies, Agrisemantics, multilingual information services. Dr.Madalli is a member of the Karnataka Evaluation Authority(KEA). Dr.Madalli has extensive experience in capacity building, training on e-learning, MOOCs (moodle) and digital repositories. Dr. Madalli is a member of the Technical Advisory Board of Research Data Alliance. She is a member of the governance board of DRYAD. Dr.Madalli serves as a consultant to UNESCO, UNFAO, OECD, Commonwealth of Learning and European Commission. She is on the advisory board of Universal Decimal Classification. She serves as the chair of Open Access India. She served on the advisory panel and scientific committees of several international conferences such as SWIB, ICADL, MTSR, SCIDATACON, LODLAM and ICSD. She serves as a member of editorial panels of prestigious journals such as Knowledge Organization (ISKO), Journal of Information Science of American Information Science Association, Library Hi Tech, and IFLA journal. She is a member of the steering committee of open access journal in Agriculture and Allied sciences Commonwealth- CABI’s AgriXiv. Dr.Madalli has authored several scholarly articles published in national and international journals and conferences

Her interest lies in the area of OERs and Educational resources repositories, Open Data Repositories and Data Management, Knowledge Organization and application of facetization in Information Systems, Information Infrastructures, Digital Libraries, Semantic Web technologies, Faceted Ontologies, Agrisemantics, multilingual information services.

Houbing Song (M’12–SM’14-F’23) received a PhD degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. He is currently a Tenured Associate Professor, the Director of the NSF Center for Aviation Big Data Analytics (Planning), and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD. Prior to joining UMBC, he was a Tenured Associate Professor of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, Daytona Beach, FL. He serves as an Associate Editor for IEEE Transactions on Artificial Intelligence (TAI) (2023-present), 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). He was an Associate Technical Editor for IEEE Communications Magazine (2017-2020). He is the editor of eight books, the author of more than 100 articles and the inventor of 2 patents. His research interests include cyber-physical systems/internet of things, cybersecurity and privacy, and AI/machine learning/big data analytics. His research has been sponsored by federal agencies (including National Science Foundation, US Department of Transportation, and the Federal Aviation Administration, among others) 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, and New Atlas. Dr. Song is an IEEE Fellow, an ACM Distinguished Member, and an ACM Distinguished Speaker. Dr. Song is a Highly Cited Researcher identified by Clarivate™ (2021, 2022) and a Top 1000 Computer Scientist identified by Research.com. He received the Research.com Rising Star of Science Award in 2022 (World Ranking: 82; US Ranking: 16). Dr. Song was a recipient of 10+ Best Paper Awards from major international conferences, including IEEE CPSCom-2019, IEEE ICII 2019, IEEE/AIAA ICNS 2019, IEEE CBDCom 2020, WASA 2020, AIAA/ IEEE DASC 2021, IEEE GLOBECOM 2021 and IEEE INFOCOM 2022.

Director of NSF Center for Aviation Big Data Analytics (Planning)

Sotiris Moschoyiannis completed his PhD in Theoretical Computer Science at the University of Surrey and his BSc in Mathematics at the University of Patras, Greece. He is an Associate Professor (Senior Lecturer) in Computer Science at the University of Surrey. His research is on computational techniques and mathematical methods - control theory, rule-based machine learning, (deep) reinforcement learning - and their applications to the analysis of complex networks.See here https://youtu.be/f2G6ZdPNRTc. He has led several EU and UK funded research projects. He has published over 70 papers and book chapters in peer-reviewed conferences and journals, and won 7 best paper awards. Sotiris is a member of the executive committee of the IEEE Technical Committee on Cloud Computing and the technical committee on IEEE Industrial Informatics.

Cloud Computing and IEEE Industrial Informatics.

Mohammad N. Patwary is currently a Full Professor of telecommunication networks and digital productivity and the Head of the Intelligent Systems and Networks (ISN) Research Group, School of Computing and Digital Technology, Birmingham City University, UK. He worked as a Lecturer with The University of New South Wales, from 2005 to 2006, and then a Senior Lecturer with Staffordshire University, UK, from 2006 to 2010. He was a Full Professor of wireless systems and digital productivity and the Chair of the Centre of Excellence on Digital Productivity with Connected Services, Staffordshire University, until 2016. He is also the Principal Data Architect for a large-scale 5G testbed in UK to accelerate digital productivity and develop urban connected community. His current research interests include Autonomous future networks, Artificial Intelligence for future networks, sensing and processing for intelligent systems, future generation of cellular network architecture and business modeling for data economy.

cellular network architecture and business modeling

Dr Xiaohui Zhao is a Senior Lecturer in information technology at Federation University Australia. Dr Zhao’s primary research interest is in business process management, particularly integrating situational awareness and data analytics into business process management. Xiaohui has published over 50 refereed academic papers for reputed journals and conferences. He has successfully attained research grants from the Ministry of Science and Innovation in New Zealand, and the Department of Education and Training and Department of Foreign Affairs and Trade in Australia. Xiaohui received his PhD in IT from Swinburne University of Technology in 2007. Previously, he has been a Research Fellow at Eindhoven University of Technology in the Netherlands, Lecturer at the Unitec Institute of Technology in Auckland, New Zealand and Assistant Professor at the University of Canberra

Science and Innovation

Mohammed Chadli is currently Full Professor at the University Paris-Saclay, Univ. Evry, IBISC Lab., France. He is invited as lecturer and visiting professor (UiA (Norway), SMU-Shanghai and NUAA-Nanjing China conferences…), author and coauthor of numerous papers in international journals, books and conferences. Dr Chadli’s research interests include robust control, fault detection and isolation (FDI), fault tolerant control (FTC) applied in automotive control. Dr. Chadli is a senior member of IEEE, and Editorial Board Member of several international journals (IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Electronics, IET Control Theory and Applications, Franklin Institute Journal, Asian Journal of Control, .. ) and was a Guest Editor for Special Issues in international journals. His H-index is 50 with 7475 citations (Google Schollar).

robust control, fault detection and isolation

Zelinka I. (ivanzelinka.eu) is currently working at the Technical University of Ostrava (VSB-TU), as a professor of computer science. He is author and coauthor of numerous papers in different journals, books and conferences as well as lecturer and visiting professor. He is/was also supervisor of many research grants, both - (inter)national and is a certified member of British computer society. His H index is 35 with 5393 citations (Google Schollar).

robust control, fault detection and isolation

Abdellatif Benjelloun Touimi is a digital technology expert, manager, and strategist. He was till recently a Senior Manager responsible for AI, Big Data, Cloud, and Multimedia areas within the Corporate Standards Department of Huawei Technologies (UK). He was involved in different organizations (ISO/IEC JTC 1, ETSI, ITU-T) and participated in different AI standardization and policy groups, including the ISO/IEC JTC 1 SC 42 on AI and CEN/CENELEC Focus Group on AI. Abdellatif was the chair of the Standardization group within the Big Data Value Association and contributed to the setup of the “European Partnership in AI, Data and Robotics”. In a previous career,he was with Orange Labs where he conducted research on Multimedia and Cloud Computing and participated in different national and European projects. Abdellatif received a Ph.D. in Signal Processing from Télécom Paris, France, and an M.B.A. from University of Chicago, USA. He holds 14 patents and authored several publications.

Big data, cloud computing