Dr. Arthur McClelland
Principal Scientist, Center for Nanoscale Systems, Harvard University

Dr. Arthur McClelland is a technical staff in a core facility at Harvard University supporting researchers across many disciplines including physics, chemistry, material science, electrical engineering, molecular biology, cell biology, archaeology, library and art conservation, geology, and zoology with materials characterization techniques. He provides technical training and scientific consultation about the information that can be obtained from a sample through optical microscopy and optical spectroscopy techniques. He supports more than 500 active users in their research endeavours annually. He supports all areas of science from archeology to zoology. The primary techniques that he is responsible for are Raman spectroscopy, photoluminescence spectroscopy, UV-VIS spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and various forms of optical microscopy. (DIC, polarised, phase contrast, fluorescent, confocal, hyperspectral imaging, etc.) He has secondary responsibility for the micro computed tomography (uCT) and X-Ray Photoelectron Spectroscopy (XPS). He is one of thirty technical staff at the Center for Nanoscale Systems (CNS) at Harvard University. CNS is the largest core lab at Harvard with 1,500+ users annually using the facilities. CNS consists of a 10,000 sqft clean room for nanofabrication, fifteen electron microscopy suites, and five material characterization labs. He works on the materials characterization side supporting about 450 active users annually. He is responsible for training users on the scientific instruments, helping users with experimental design, and troubleshooting and repairing the scientific instruments. The primary techniques he is responsible for are Raman spectroscopy, photoluminescence spectroscopy, UV-VIS absorption, Fourier transform infrared spectroscopy, and various forms of optical microscopy. (DIC, polarised, phase contrast, fluorescent, confocal, etc.) He has secondary responsibility for the micro computed tomography (uCT) and X-Ray Photoelectron Spectroscopy (XPS).

Dr. David Belo
Senior Scientist - Machine Learning for Time Series Fraunhofer Portugal AICOS, Portugal

Dr. David Belo is a Portuguese Biomedical Engineer with a vast and multidisciplinary experience. His career choice was made based on two passions: health and the human body; and technology and development. The evolution of computers, graphics and robotics combined with deeper understanding of human nature, both physically and psychologically, highly motivates him. His goal is to unite these passions and make something new. David Belo received his Ph.D. in Biomedical Engineering from the NOVA University of Lisbon in 2021 in applying deep learning algorithms for several biosignals' paradigms. He has always been involved in both academia and industry after finishing his Master's Degree from the University of Minho in 2007. The research activity was mainly in biosignal processing and machine learning to extract meaningful information and make automatic decision support systems, and, on the industry side, he earned experience in programming mobile applications, reporting services, and administration software. In addition to this, he has participated in the summer of 2019 in the NASA Frontier Development Lab in developing AI tools for aiding the Astronaut Health program. Currently, he is working at Fraunhofer AICOS as a Senior Scientist while managing and developing R&D projects for applications using machine learning, namely creating solutions for healthcare. He cares about self-development because he truly believes that solving my own issues teaches how to help others. He gives his all when facing challenges, and his creativity and persistence helps, not only him, but also his teams to find original solutions. Leadership is also one of his strong aspects due to his easy-going, altruistic and humorous personality. He does believe that everyone in a team has a role (including the leader), so everyone in the team should be in a circle where everyone contributes with their skill or passion.
Specialties:- Deep Neural Networks, Keras, Tensorflow, Biosignal Processing, Machine Learning, Project Management

Dr. Sudhir Ganesan
Consultant Spine Surgeon, Sri Ramachandra Institute of Higher Education and Research

Dr. Sudhir Ganesan is a consultant spinal surgeon in Sri Ramachandra Institute of Higher Education and Research. He has recieved MBBS, DNB(Ortho), MNAMS, FNB(Spine Surgery) Spine Surgery Training in QMC, Nottingham, UK and Endoscopic Spine Surgery Fellowship in Germany. As part of his research, he has examined Type 2 diabetes induce early senescence and degeneration in human intervertebral disc - A tissue biomarker evaluation; The role of Platelet rich plasma in spinal fusion surgeries; Analysis of factors & their correlation with ligamentum flavum hypertrophy in lumbar spine; Clinical & radiological outcome of delta fixation vs reduction fixation in high grade spondylisthesis. Awards he has received include AO Spine Asia Pacific Research Grant Award in 2017;Tamil Nadu Orthopaedic Association Foreign Fellowship Award in 2017; Prof.Vyagareswaradu Gold Medal in Tamil Nadu Orthopaedic Association Conference in 2017; Balusankaran Gold Medal - All India First Rank in DNB Orthopaedics in 2011; Dr.Asis Mukherjee Gold Medal - Best outgoing Spine Fellow - Sir Ganga Ram Hospital in 2015; Dr.Srivastava Gold Medal - For Best Paper in Indian Orthopaedic Association Conference in 2011; Winner of All India Orthopeadic Quiz in 2011; Best Poster Award in Association of Spine surgeons of India Conference in 2014;Best Paper Award in Delhi Orthopaedic Association Conference in 2014.His publications include Encyclopedia of orthipaedic classifications; Chapter titled “Implant Analysis on the Lumbar vertebrae using finite element method” in textbook “Advances in 3D printing & Additive manufacturing Technologies (Springer); Radiographic analysis of sacropelvic parameters and their correlation in normal subjects - Published in Global Spine Journal; Sacral Insufficiency fractures mimicking lumbar spine pathology - In Asian Spine Journal; Intradural intramedullary melanocytoma - In Indian Journal of Neurosurgery; Analysis of radiological and clinical outcome of TLIF & effect of spinopelvic parmameter in lumbar canal stenosis - Journal of Clinical Orthopaedics & research; Intradural intramedullary melanocytoma - In Indian Journal of Neurosurgery

Dr. Mamun Bin Ibne Reaz
Universiti Kebangsaan Malaysia, Malaysia

Mamun Bin Ibne Reaz a Professor in the Centre of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia. He received his B.Sc. and M.Sc. degree in Applied Physics and Electronics, both from University of Rajshahi, Bangladesh, in 1985 and 1986, respectively. He received his D.Eng. degree in 2007 from Ibaraki University, Japan. He is author and co-author of more than 300 research articles in design automation, IC design for biomedical applications and Smart Home. He is also the recipients of more than 50 research grants (national and international).

Prof. Dinesh Kalyanasundaram
Centre for Biomedical Engineering, IIT Delhi

Dr. Dinesh Kalyanasundaram is a Professor in the Centre for Biomedical Engineering at IIT Delhi. He is passionate about creating medical devices. He is a Biomedical consultant: L&T and strongly believes in innovation and inter-disciplinary research as a means to achieve innovation. His areas of expertise includes micromachining of materials, product design, solid mechanics (specific areas) DNA based diagnostics, lab-on-chip device design, orthopaedics, orthodontics, surface modification, laser machining. His research group is focused on designing medical devices, validating their performance clinically and developing associated manufacturing processes, developing both diagnostic devices as well as implantable devices and also work on tissue biomechanics and development of musculoskeletal models.

Dr. Neha Singh, Senior Scientist
Center for Advanced Research and Excellence in Disability & Assistive Technology (CARE-DAT) Indian Institute of Technology Delhi (IITD)

Dr. Neha Singh is a Research Scientist in Centre for Biomedical Engineering at IIT Delhi after completing Ph.D. from IIT Delhi. Her interest lies in interdisciplinary research in neuro-engineering for developing innovative rehabilitation strategies, biomedical devices and its clinical validation, with a special focus on brain stimulation for neurorehabilitation of patients with stroke. She has published few international patents and copyrights. Her research area also includes biomedical signal processing, neurophysiology and neuroimaging.

Dr. Rajeswari Aghoram
Associate professor, Department of neurology, JIPMER, Pondicherry

Dr. Rajeswari Aghoram is an Associate Professor at the Department of Neurology, JawaharLal Institute of Postgraduate Medical Education & Research (JIPMER). Her major projects include:
• Alpha-foetoprotein and/or liver ultrasonography for screening of hepatocellular carcinoma in patients with chronic hepatitis B
• Tumor demblee responding to methotrexate and prednisolone
Her special areas of Interest include Cognitive neurosciences, EEG electrophysiology

Dr. Clement Yuen
Lecturer (Part-time), Nanyang Technological University, Singapore.

Dr. Clement Yuen received his B.Eng and PhD degree in Electrical and Electronics Engineering from Nanyang Technological University (NTU) in Singapore. He is a part-time lecturer in the School of Chemical and Biomedical Engineering at NTU. His research is focused on surface-enhanced Raman spectroscopy and other imaging techniques for biomedical applications. He was the recipient of the Mistletoe Research fellowship, Lee Kuan Yew (LKY) post-doctoral fellowship, and Agency for Science, Technology and Research (A*STAR) graduate fellowship. He was also the former founder of his own startup company. His research outcomes include 1 US patent and 3 invention disclosure, 1 invited book chapter, 32 international technical journals papers, and 24 conference papers. Moreover, his test kit for malaria received interviews by the Channel News Asia (CNA) and a series of other media including Phys.org, Scienmag, etc. His microneedle-based enhanced Raman work has been featured in Advanced Science News, and the editor's choice in Journal of Biophotonics.

Dr. Rahuman S. Malik Sheriff
Project Leader (BioModels), European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Welcome Trust Genome Campus, Hinxton Cambridge CB10 1SD, UK, London, England, United Kingdom.

Dr. Rahuman S. Malik Sheriff is an experienced scientist with a demonstrated history of working in the research industry. Skilled in Mathematical modeling, multivariate statistics, Bioinformatics, digital image processing, and Bigdata analytics. Leads a team of members to develop novel approaches, tools, and resources for modeling biomedical system. With a Doctor of Philosophy (Ph.D.) focusing on finding patterns in big and complex biological data set and modeling quantitative causal network from Max Planck Institute of Molecular Physiology & TU.

Dr. M. Murugappan
Associate Professor - Electronics and Communication Engineering, Kuwait College of Science and Technology, Kuwait.

Dr. M.Murugappan received his M.E. (Applied Electronics), and Ph.D. (Mechatronic Engineering) from Anna University, India, and Universiti Malaysia Perlis, Malaysia, respectively, in 2006, and 2010. Since February 2016, he has been working as an Associate Professor in the Department of Electronics and Communication Engineering at the Kuwait College of Science and Technology (KCST), Kuwait. He had more than 15 years of research and teaching experience in different countries, such as India, Malaysia, and Kuwait. His publications and research have been recognized with various research awards, medals, and certificates. In the fields of Experimental Psychology, Artificial Intelligence, and Cognitive Neuroscience, he was ranked in the top 2-percent of scientists in the world by Stanford University researchers in 2020 and 2021. More than 125 of his research articles have appeared in peer-reviewed journals, conference proceedings, and book chapters. A maximum score of 4807 citations is recorded by Google Scholar, along with an H index of 36 and an I10 score of 73 (Ref: Google Scholar citations). His research has been awarded nearly $2.5 Million by the government of Malaysia, Malaysia, and Kuwait Foundation for Advancement of Sciences (KFAS), Kuwait. He has also guided 14 postgraduate students, 9 Ph.D. and 5 M.Sc. He is currently an Editorial Board member for PLOS ONE, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics. Currently, he serves as the Chair of Educational Activities in the IEEE Kuwait Section. He is primarily interested in Affective Computing, Affective Neuroscience, IoT, IoMT, Cognitive Neuroscience, Brain-Computer Interface, Neuromarketing, Neuroeconomics, Medical Image Processing, Machine Learning, and Artificial Intelligence. He is a member of professional international societies such as IEEE, IET, IACSIT, IAENG, and IEI. He has given expert talks in Affective Computing, Artificial Intelligence in Healthcare, and Affective Neuroscience.

Dr.K.Mohanavelu
Scientist and Joint Director, DRDO, - Defence Bioengineering &Electromedical Laboratory, Bengaluru.

Dr. K. Mohanavelu joined as Scientist in DEBEL, DRDO in 2002, serving 20 years of experience in R&D for Biomedical Product Research. He is currently the Joint Director, Head of Biomedical Technology in DEBEL, DRDO. His post graduation and PhD was in Biomedical Engineering from IIT – Madras and Anna University respectively. His areas of research include Wearable Electronics & Remote Health Monitoring, High Altitude Life Support Technology, Brain Computer Interface / Augmented Cognition, Human centric Robotics. He is actively involved in the development of Biomedical Products for COVID Management.

Dr. B. Sivakumar
Prof and HOD Bioengineering, Christian Medical College, Vellore.

Dr. B. Sivakumar is a Professor and head of the department of Bioengineering at the Christian Medical College, Vellore. He was a postdoctoral research fellow in Human Robotics Group, Imperial College, London, UK, Feb 2010 - Oct 2012. He received his Ph.D. in Bioengineering, from ASU, Tempe, USA. He is the head of the Biological Learning and Rehabilitation (BioRehab) group, which focuses on human motor learning and rehabilitation. His main research interests include, development and validation of tools and training methods for delivery of neurorehabilitation, and quantitative human analysis.

Prof. Renu John
Professor, Department of Biomedical Engineering IIT Hyderabad

Dr. Renu John is a Professor in the Department of Biomedical Engineering at IIT Hyderabad. He has obtained a PhD in Physics (Optics) from Indian Institute of Technology Delhi, in 2006. He served as a Research Associate at the Fitzpatrick Center for Photonics, Duke University, Durham, NC, USA, from June 2006 to May 2008 and at Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA, from May 2008 to Nov 2010. His journey with the department of Biomedical Engineering at IIT Hyderabad began in 2010 from Assistant Professor to Professor and Head of the department. He is the Co-Founder and Head of Centre for Healthcare Entrepreneurship (CfHE) at IIT Hyderabad which was established in 2016 with an objective to catalyze healthcare innovation with a focus on affordable solutions to address healthcare needs of India. His areas of expertise includes biomedical imaging, optical coherence imaging and microscopy, nanoparticles and target-specific imaging.

Dr. Mamun Bin Ibne Reaz
Universiti Kebangsaan Malaysia, Malaysia

Mamun Bin Ibne Reaz a Professor in the Centre of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia. He received his B.Sc. and M.Sc. degree in Applied Physics and Electronics, both from University of Rajshahi, Bangladesh, in 1985 and 1986, respectively. He received his D.Eng. degree in 2007 from Ibaraki University, Japan. He is author and co-author of more than 300 research articles in design automation, IC design for biomedical applications and Smart Home. He is also the recipients of more than 50 research grants (national and international).

Prof. Dinesh Kalyanasundaram
Centre for Biomedical Engineering IIT Delhi

Dr. Dinesh Kalyanasundaram is a Professor in the Centre for Biomedical Engineering at IIT Delhi. He is passionate about creating medical devices. He is a Biomedical consultant: L&T and strongly believes in innovation and inter-disciplinary research as a means to achieve innovation. His areas of expertise includes micromachining of materials, product design, solid mechanics (specific areas) DNA based diagnostics, lab-on-chip device design, orthopaedics, orthodontics, surface modification, laser machining. His research group is focused on designing medical devices, validating their performance clinically and developing associated manufacturing processes, developing both diagnostic devices as well as implantable devices and also work on tissue biomechanics and development of musculoskeletal models.

Prof. Renu John
Professor Department of Biomedical Engineering, IIT Hyderabad

Dr. Renu John is a Professor in the Department of Biomedical Engineering at IIT Hyderabad. He is the Co-Founder and Head of Centre for Healthcare Entrepreneurship (CfHE) at IIT Hyderabad which was established in 2016 with an objective to catalyze healthcare innovation with a focus on affordable solutions to address healthcare needs of India. His areas of expertise includes biomedical imaging, optical coherence imaging and microscopy, nanoparticles and target-specific imaging.

Dr. Justin Dauwels
Nanyang Technological University, Singapore

Justin Dauwels is an Associate Professor in School of Electrical & Electronic Engineering at Nanyang Technological University (NTU). In 2000 he received the engineering physics degree from the University of Ghent. He obtained a PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Some of his projects include Mathematical modeling of the start and ending of epileptic seizures, Diagnosis of Alzheimer's disease from EEG signals, Machine learning techniques for guiding neurosurgery, Copula based modelling of extreme events and Copula based graphic models. His current projects include Advanced Multi-Sensor Anomaly Monitoring and Analytics for Gas Pipeline, Automated Detection of Seizure-Spectrum Patterns and Quantitative Neurological Outcome Prediction, Automatic Analysis of EEG for Neurological Patients by Deep Learning Methods.

Dr. Priya Lakshmi Narayanan
Postdoctoral Training Fellow Institute of Cancer Research, London, United Kingdom

Dr. Priya Lakshmi Narayanan received her PhD degree in Biomedical Engineering for her work in developing an atlas of cerebellum for young children. She worked as a research scholar in MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa from 2010 - 2015. She has also worked as a visiting academic in Athinoula A. Martinos center for Biomedical Imaging in Boston from July 2012 – December 2012. She has gained a considerable amount of experience working as an image analyst and deep neural network based framework development and its relevance for validation in breast cancer. Her expertise in image segmentation and cellular phenotype quantification along with complex data analysis and interpretation has resulted in significant research outputs in nature breast cancer and nature scientific reports. She won a Marie curie research fellowship and moved to the UK during her final year PhD research program. During her tenure at PathXL, UK she has been an active part of the patent for which she is recognised as an innovator while at PathXL in FastPath Project. She is actively working in understanding recurrence pathways and resistance mechanisms in breast cancer with Institute of Cancer Research for the past 4.5 years. Currently at UCL she works as a research fellow, she is active member of Department of computer science in building intelligent systems that help to predict acute myeloid leukemia. She initially started her career from a startup based in India, Optra Systems, Pune, after completing her Masters in 2007 from Madras Institute of Technology, Anna University, Chennai India. During her tenure she contributed to the detection of lumen in prostate cancer and micro array analysis for single cell detection.

Prof. Yuichi Kurita
Professor, Biological system engineering lab, Hiroshima University, Japan

Prof. Yuichi Kurita is an Associate professor in the Hiroshima University, Japan. He received his Bachelor’s degree in Information Science at Osaka University, Master’s degree & Ph.D in Information Science at Nara Institute of Science and Technology. He is currently also a Co-Chair of IEEE Robotics and Automation Society. His Areas of Interest Include - Haptics, Human Augmentation, Human Computer Interface, Human Robot interaction & Assistive Robotics.

Dr. Yuvaraj Rajamanickam
Education Research Scientist, NTU, Singapore

Dr. Yuvaraj Rajamanickam is a lecturer (research scientist) at the Science of learning in Education Centre (SoLEC), National Institute of Education (NIE), Singapore. He received both B.E. (Electronics and Communication Engineering) and M.E. degrees (Biomedical Engineering-Gold Medalist) from Anna University and the Ph. D degree (Biomedical Electronics) from University Malaysia Perlis (UniMAP), Malaysia, 2015. Before joining NIE, he was a Postdoctoral Research Fellow in the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU) and the Neural Systems Lab, Department of Biomedical Engineering at University of Kentucky, USA. In research, his interests are machine learning algorithms, with application to biomedical signal processing (such as EEG) that include affective computing, brain-computer interface (BCI), and cognitive neuroscience. Dr. Yuvaraj supports interdisciplinary research and has successfully collaborated on many research projects with computer science scholars, psychologists, neurologists, and education institutions. To date, he has published in several top-tier journals, conferences, and book chapters. He has continued to involve in the various reputed conference technical committees and has also held positions as publicity chair, committee member of the IEEE conferences. He also serves as a reviewer of various journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, NeuroImage, Neuroscience Letters, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions in Affective Computing, etc.: Dr. Yuvaraj areas of expertise are machine learning/deep learning algorithms with application to biomedical signal processing.