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Dr. Badv is currently an Assistant Professor in the Department of Biomedical Engineering and a member of the Libin Cardiovascular Institute at the University of Calgary. She has contributed significantly to the field of biomaterial science and engineering, especially in antifouling biointerface design, development, and testing. After earning her PhD from McMaster University and being honored as the Valedictorian of the 2019 graduating class, Dr. Badv furthered her research at UCLA as an NSERC postdoctoral fellow. During her training, she collaborated with an interdisciplinary team of nanoscientists, engineers, clinicians, and industry professionals to develop multifunctional tissue-engineered scaffolds for biomedical applications. The Badv Lab (Translational Biomedical Engineering Laboratory) focuses on translational biomedical engineering research, working at the interface of engineering, medicine, chemistry and biomedical sciences with the aim to develop multifunctional biomaterials and biomimetic models for various biomedical applications. Throughout her academic journey, Dr. Badv has authored numerous high-impact journal articles, with some of her innovative work leading to patents.
Ruben Foresti Ph.D. is currently Assistant Professor in the Department of Medicine and Surgery at University of Parma. Research fields address in Bioengineering and Bioprinting of 3D, 4D and 5D processes for digital fabrication of customized scaffolds, applied medical technologies, biomedical devices and biomodels for surgery training/planning. Expertise in rapid prototyping of automated systems with remote control, hardware and software design/development, including electrical parts and mobile applications. PhD in Industrial Engineering related to the design and implementation of additive manufacturing systems for biomedical and food applications. MSc. in Engineering Management and BSc. in Electronics Engineering. Founder of UIMEI, company dedicated to the design and development of medical device, such as totally cleanable bioprinters for drug development and eco-friendly smart inhalers.
Dr. Xijin Hua is currently a Lecturer (Assistant Professor) in Department of Engineering at the University of Exeter, UK. Prior to joining the University of Exeter, he obtained his PhD degree from the Institute of Medical and Biological Engineering, School of Mechanical Engineering at the University of Leeds, UK. Subsequently, he served as a European Marie-Curie Individual Fellow firstly at ETH Zurich in Switzerland and later at the University of Cambridge in the UK. Dr Hua’s research interests encompass musculoskeletal and tissue biomechanics, human movement analysis, metamaterials, additive manufacturing, and medical devices, including human joint replacements, orthoses, and exoskeletons. Specifically, his research focuses on developing advanced computational modeling and simulation, and integrating these simulations with human movement analysis to investigate the biomechanics of the musculoskeletal system, soft tissue, muscle function and dysfunction, and joint loading. By leveraging 3D printing technology, his research also supports the development of metamaterials by exploring their mechanics and properties, and their applications on the design, development, and manufacturing of medical devices for the prevention and rehabilitation of neuromusculoskeletal disorders, including Parkinson's diseases, cerebral palsy, and joint osteoarthritis. Dr. Hua has published 2 book chapters, 26 high-impact journal papers, and 20 conference proceedings. He has also been regular reviewer of top scientific journals such as Journal of Biomechanics, Computer Methods and Programs in Biomedicine, Scientific Report, etc.
Dr. Muhammad Salman Haleem is currently Lecturer (Assistant Professor) in School of Electronic Engineering and Computer Science at Queen Mary University of London. He is involved in teaching Joint Programme in collaboration with Beijing University of Posts and Telecommunications. Previously, he served as Assistant Professor-Research Focused in Applied Biomedical Signal Processing and Intelligent eHealth Lab, School of Engineering at University of Warwick since August 2020. Dr. Haleem finished his PhD PhD in Computing from Manchester Metropolitan University where he received the prestigious scholarship on EPSRC-DHPA. The title of his research was ‘Automatic Extraction of Retinal Features to Assist Glaucoma Disease Diagnosis’. After completion of his PhD in 2015, he served as a Research Associate – Data Science in the same university till 2020 where he designed and developed novel computer aided methods to advance operational analytics and policing methods for improved well-being. Dr. Haleem research interests lie in artificial intelligence, data science and deep learning solutions with special focus on medical and healthcare data analytics. His research works focus on design and development of novel Artificial Intelligence based solutions for improved chronic disease monitoring (such as Diabetes, cardiovascular diseases); physical activity and stress monitoring; retinal image and MRI analysis etc. He has authored/co-authored more than 40 peer-reviewed papers including systematic literature reviews, study protocols, scientific articles, book chapters in top academic journals and conference proceedings. He has also been regular reviewer of top scientific journals such as Biomedical Signal Processing and Control, Computerized Medical Imaging and Graphics, IEEE transactions in Biomedical Engineering, IEEE journal of Biomedical and Health Informatics, etc.
Dr. Mohammad Anas Shamsi is a Full Time Research Associate at Center for Medical and Bio-Allied Health Sciences Research. His research area is Structure based Drug Design and Discovery. He has more than 120 publications in International peer reviewed journals with h index of 27 and I10 index of 58 and also serves as editor of several reputed international journals. He is working in the most exciting areas of medicinal chemistry with special focus to the structure-based drug design and discovery, targeting the discovery of new drugs for the treatment of Cancer and Alzheimer's and related neurodegenerative diseases and COVID-19. Dr. Anas Shamsi’s current research focuses on therapeutic strategies targeting diseases in protein biochemistry and drug discovery. Structure-based drug design has become a useful and essential part of drug discovery and possibly the most relevant approach to discover bioactive leads exhibiting high specificity and effectiveness.
Luca Mainardi full Professor at Politecnico di Milano and the Director of the Bachelor and Master Program in Biomedical Engineering (the largest in Italy with 500 new entries/year) and the Co-Chair of the recently established Joint Research Facility center between Politecnico di Milano and the Auxologico Hospital. Prof. Mainardi is fellow of the EAMBES and a member of the Board of Computing in Cardiology. He is theme editor for track #1 on “Biomedical signal processing” of the IEEE EMB conference and he was the Program Co Chair (and organizer) of the IEEE EMB Conference in Milano on 2015 (3000 attendees) and Berlin 2019. He is the past Chair of the Technical Committee on “Biomedical Signal Processing” of the IEEE EMB Society and he has been Chair of the International Medical Informatics Association (WG7 on Biomedical Pattern Recognition). Prof. Mainardi was inserted in the list of the top 2% of the most cited scientists in his field by Stanford University in 2022. His research activity is in the field of biomedical signal and image processing, and biomedical system modelling, where he authored more than 170 peer reviewed papers on international journals. He raised 4M Euro funds in industrial and basic research grants in Biomedical Signal and Image analysis: among those, Prof Mainardi was the Coordinator of the Marie Curie EU project MY ATRIA a MultidisciplinarY training network for ATrial fibRillation monItoring treatment and progression”. He has served as reviewer/consultant for funding agencies in Europe including ESF, FCT and Horizon EU.
Prof. Merla holds a Master's Degree in Physics from the University of Bologna and a PhD in Biomedical Technologies from the University of Chieti-Pescara. He is Full Professor of Bioengineering at the Department of Engineering and Geology, G. d'Annunzio University of Chieti- Pescara, where he serves as Chairperson for the B.Sc. in Biomedical Engineering and Chairperson for the Ph.D. Program in Digital Transition and Innovation in Health Services. Since 2002, he is director of the Infrared Imaging and Affective Computing Laboratory - G. d'Annunzio University of Chieti-Pescara. From 2003 to 2009, he has been appointed Visiting Professor at the Computational Physiology Laboratory, Department of Computer Science, University of Houston, Houston (TX), USA. In 2011, he founded the Near Infrared Spectroscopy Imaging Laboratory (NIRS) - G. d'Annunzio University of Chieti-Pescara. In 2014, he founded Next2U s.r.l. (www.next2u-solutions.com), a start-up working in the field of human-machine interaction and sensing machines. From 2018 to 2021, he has been appointed Distinguished Visiting Professor at the "Brain and Language Laboratory for Neuroimaging - BL2" - Gallaudet University, Washington DC, USA. His research activity is in the field of biomedical and modeling imaging, with particular emphasis on infrared thermal imaging and optical imaging and neuroscience care. Over the last ten years, the research activity is focused on affective computing and human-machine interaction, with particular reference to assistive robotics and automotive He has a vast scientific production to his credit, with over 200 international works and several international patents. His research projects have been granted by national and international funding programs. He is considered one of the world's leading experts in the sector of reference, with collaborations with important public research centers and international industrial companies.
Juan Reyes Luévano, PhD. Co-Founder & CEO of e-LAR IPSYS (Advanced Electronics Research Laboratory and Intelligent Perception Systems) since 2019. Currently, he works as Professor and Researcher at Aguascalientes Institute of Technology (ITA), México. His research interest focus on Biomedical Engineering with emphasis on the development of 3D-Thermographic reconstruction systems for medical and environmental applications and the design of Artificial Intelligence (AI) algorithms for early diagnosis of diabetic foot and breast cancer. Specifically, he has a strong background in Biomedical Engineering, Optics, Artificial Intelligence and Electronics.
Jun Zhang, MD, PhD is a physician-scientist, principle investigator, and board certified internist and medical oncologist. Dr. Zhang received his medical degree from Xiang-Ya School of Medicine Central South University in China, PhD of Cancer Biology from LSU, postdoctoral research fellowship at Harvard Medical School and UCSF, and Hematology/Oncology fellowship at Emory University School of Medicine. Dr. Zhang is passionate in frontier scientific discoveries, and has ample expertise in bench-to-bedside translation and development of investigator-initiated clinical trials. He has more than 100 publications including those appeared in high impact journals such as Oncogene, Cancer Research, Clinical Cancer Research, Journal of Thoracic Oncology, Molecular Cancer, Annals of Oncology, JAMA Oncology, Cancer Cell and New England Journal of Medicine, etc. Dr. Zhang is a member of multiple prestigious organizations including AACR, ASCO, ESMO, IASLC, RSM and CAHON where he also served as the Committee Co-chair of Clinical Research. His research interests include the following broad aspects: 1) The role of microbiota in the oncogenesis, immune modulation and immunotherapy of lung cancer 2) Resistant mechanisms in targeted therapies for non-small cell lung cancer harboring driver mutations 3) Development of innovative interventional and translational trials for various thoracic malignancies. He currently serves as the co-Director of Lung Cancer Program and Associate Director of Early Phase Program at the University of Kansas Comprehensive Cancer Center (KUCC). He is a vital member in leading a multidisciplinary teamwork in both the research and patient care for Thoracic Oncology at KUCC.
Ehsan Hashemi, Ph.D in Molecular genetics, a postdoctoral in Shenzhen Bay Laboratory, China, also the Co-founder of Gain Medical Group. He is a molecular biologist whose works mainly focus on regenerative medicine for more than 16 years, mainly utilizing biomaterials to build biomimetic microarchitecture. Moreover, he has been working on gene therapy by using nanomaterials.
Mansoura University in Egypt is where Dr. Maged Zahran earned his bachelor's degreein dentistry. In 2012, he graduated from Suez Canal University in Egypt with a diploma in endodontics. Then, in 2019, He get the Master's in restorative Dentistry from Mansoura University (Major operative, Major fixed prosthodontics, Major Endodontics). He has now enrolled as a doctoral student at Mansoura University's Fixed Prosthodontics Division. Ceramics, veneers, adhesives, and biomechanics are the primary areas of study. Eleven years’ experience in Ministry of Health hospitals.One year teaching Experience in restorative dentistry department, Mansoura UniversityEgypt Eight years’ experience in his own dental clinic.Three months as an intern resident at Cairo University hospitals.
My name is Daniel Tiburcio Jiménez, I am Mexican born in Colima City, capital of Colima State. I was born the 1st of september 1994. From an early age, science and the search for knowledge was my main motivation. From an early age I was captivated by astronomy, the functioning of the human body and mind. After completing my first years of training, at the age of 14 I focused on learning chemistry and health sciences. At 17 years old I enrolled in medicine, leaving my hometown for 5 years. Upon my return, I focused on completing my training as a physician while continuing my interest in in-hospital research and in cancer patients. Later I decided to pursue my master's studies with an emphasis on chronic diseases and genetic medicine. At that time I also discovered teaching, where I found my true vocation, teaching the subjects of human physiology, histology and medical genetics for 4 years. Before finishing my period as a teacher, I entered a doctoral program, this time with projects focused on molecular biology and genetic recombination. I had the honor of being honored in my last year with my participation in the 73rd meeting Nobel laurate meetings in Lindau, Germany, last June 2023. This meeting marked a paradigm for me, opening my scientific horizon to new possibilities.
I am João Ribeiro, a 24-year-old professional with a strong background in biomedical engineering and a passion for data analysis and technology. I currently work as an Application Analyst at Novo Banco, where I have been since March 2023. In this role, I utilize my skills in tools such as Power BI, Pl Sql, AI builder, power automate, Fabric, python, purview, AI business document, azure data factory, and pipelines to support the bank's operations. I earned my MSc in Biomedical Engineering from the prestigious Instituto Superior Técnico in 2023. During my time at the university, I gained experience in various areas, including machine learning, regression, and classification using R software. I also had the opportunity to work as a volunteer, teaching mathematics to my peers. In addition to my academic background, I have also gained valuable professional experience in various sectors. From March 2022 to June 2023, I worked on my Msc Thesis at Centro Hospitalar Universitário de Lisboa Central, where I applied machine learning techniques to medical data. I also worked as a Healthcare Information Technology Consultant trainee at Glintt from September 2022 to March 2023, where I developed my skills in gestão aplicacional. My passion for technology and data analysis has also led me to work on various projects outside of my professional career. In 2022, I was convocado para iwas word games 2022 as a runner in the 100m and 400m events. I also have experience as a football player, having played for Clube Desportivo Lousanense from 2006 to 2017. Throughout my career, I have developed a range of skills, including Python, Azure Data Factory, Power BI, Microsoft Power BI, PL/SQL, Microsoft Power Automate, Ai builder, Azure Data Lake, Cloud Computing, Microsoft Excel, machine learning, R software, Estatística, gestão de projetos, gestão de tempo, and espírito de equipe. I am excited to continue growing and learning in my career, and I am always looking for new challenges and opportunities to apply my skills and knowledge.
Dr. Kumar Arvind is a neuroscientist currently serving as a Post-doctoral Visiting Fellow at the National Institutes of Health (NIH) in Bethesda, MD, USA. He holds a BS and MS in Zoology with a specialization in Cell and Molecular Biology from Patna University, India, followed by an Integrated M.Phil/Ph.D. in Genomic Science from the Central University of Kerala, India. Dr. Arvind has received several prestigious accolades in his scientific career, including the Best Researcher Award and the Best Oral Presentation Award at the International Conference on Environment, Agriculture, Human, and Animal Health (ICEAHAH). He was also honored with the Young Investigator Training Program Award at the 10th International Brain Research Organization (IBRO) Congress in South Korea, recognizing his significant contributions to neuroscience research during his doctoral studies. Post-Ph.D., Dr. Arvind's research has focused on neurodegenerative diseases, spurred by his work at Hallym University's Neuroscience Lab under the prestigious YITP award. At NIH, his current research explores the molecular mechanisms underlying Parkinson's disease, particularly the role of iron dysregulation in neurodegeneration. He utilizes microfluidics technologies to investigate axonopathy in neurodegenerative conditions, aiming to uncover how iron dysregulation contributes to these diseases. As a speaker and scientist, Dr. Arvind is known for his exemplary scientific inquiry, deep commitment to addressing complex biological problems, and his ability to inspire future generations of scientists. His career exemplifies dedication to advancing scientific understanding through collaborative and innovative research.
Yueyue Chen received her MSc and BSc degrees from University of Jilin, China. She received her Ph.D. degree from University of Muenster, Germany. Currently, she works at the Capital Medical University, China. Her research interest focus on biological medical supramolecular materials.
I am a senior lecturer in biomedical engineering at City, University of London, with experience in both industry and academia. I have over 10 years’ experience of research in the area of optical spectroscopy, multivariate modelling and optical sensors. I worked in several commercial and interdisciplinary research projects and collaborated closely with clinical teams in projects funded by the National Institute for Health Research (NIHR) and by the Engineering and Physical Sciences Research Council (EPSRC), where the primary focus was on healthcare challenges such as mental health and haemodynamic shock in critically-ill patients and fluid balance in critically ill neonates. I have authored and co-authored 28 peer-reviewed journal articles and 14 conference publications. I served as guest editor of a special issue in the peer-reviewed journal, Sensors, entitled “Optical sensors for health and Wellbeing” in Dec 2021. Prior to academia, I worked in the medical device sector of industry within public and private hospitals, and in technology incubation programs, which have allowed me to build a wider perspective on the development, implementation, business growth and management of medical technologies beyond the research settings. In recent years, my focus has been on dynamic sensing using spectroscopy techniques, and in embedded systems that combine multi-parametric measurement with smart data analytics such as machine learning, with particular interest in the application of these in personalised health care.