Dr. Faiz Iqbal received his B.Tech in Mechanical and Automation Engineering in 2011, M.Tech in Mechatronics Engineering in 2013, and PhD in Manufacturing Automation in 2019 from India. He is currently a Lecturer in the School of Engineering at the University of Lincoln in the UK. He has published several research papers and holds four patents, and has received multiple awards for his contributions in research and innovation. His research interests include Mechatronics, Industrial Automation, Smart Manufacturing, Fluidic logic/Soft Robotics, and Industry 4.0. He successfully delivered a COVID-19 project and was awarded the COVID-19 Engineering Medal by the School of Engineering at the University of Edinburgh. Pushpendra Gupta is pursuing a Ph.D. in Mechanical Engineering at the Indian Institute of Technology Kharagpur. He received his M.Tech in Production Engineering (Gold Medalist) in 2015 and B.Tech in Mechanical and Automation Engineering in 2011 from India. He has also worked as a faculty member for 2.5 years at MITRC Alwar before joining IIT Kharagpur. His research interests include humanoid robots, soft computing, evolutionary optimization, and their application in multi-criterion optimization, modeling, and machine learning. Vidyapati Kumar is a Ph.D. Research Scholar in the Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in AI-driven Rehabilitation Robotics, Biomechatronics, and Assistive Prosthetic Systems. His research focuses on intelligent prosthetic control, wearable biomedical devices, and advanced sensor fusion techniques, including electromyography (EMG), inertial measurement units (IMU), and force-sensitive resistors (FSR), aimed at enhancing mobility and improving quality of life for individuals with physical impairments.He holds a Master’s degree in Production Engineering from Jadavpur University and a Bachelor’s degree in Mechanical Engineering from the West Bengal University of Technology (WBUT). Prior to his doctoral studies, he served as a GATE Faculty member for Unacademy and worked as a Project Assistant at the Central Institute of Mining and Fuel Research.Vidyapati Kumar has published multiple papers in high-impact SCI and Scopus-indexed journals. His research interests include prosthetic design, medical artificial intelligence, explainability methods in AI/ML such as SHAP and LIME, optimization, and multi-criteria decision-making. He actively pursues interdisciplinary collaborations in biomedical robotics, wearable assistive devices, and advanced healthcare technologies.Dr. Dilip Kumar Pratihar is a Professor (HAG Scale) in the Mechanical Engineering Department at IIT Kharagpur, India and former Professor-in-charge of the Centre for Excellence in Robotics. He received his BE (Hons.), M.Tech. in Mechanical Engineering, and Ph.D. from various Indian institutions, as well as post-doctoral study at universities in Japan and Germany. He has received multiple awards, including the University Gold Medal, INSA Teachers' Award, Technologist of the Year Award, and Distinguished Alumnus Award. He has made significant contributions to Artificial Intelligence (AI) and its applications in fields such as Industrial Automation, Robotics, Health Care, and Education Technology. He has published several books and hundreds of publications in reputed journals, conferences, and book chapters. He is a regular reviewer for several international journals and a member of the editorial board of several international journals. He has filed patents and received 1 copyright. He is a Fellow of Institution of Engineers, a Senior Member of IEEE, a Member of ASME, and a Member of AMM.

• 1 Soft Robotics and Computational Intelligence: Transformative Technologies Reshaping Biomedical EngineeringThomas Gaskins, Pushpendra Gupta, Vidyapati Kumar, DK Pratihar, Faiz Iqbal2 Application of Multi-Bistatic Frequency-Domain Measurements for Enhanced Medical Sensing and ImagingBehnaz Sohani*, Amir Rahmani, Aliyu Aliyu3 Mathematics in Biomedical Robotics and Devices: Opportunities, Challenges, and Potential Impact on Healthcare DeliveryMo Sadique, Sapna Ratan Shah, Sardar M N Islam*4 Sensor-enabled Sleep Posture Analysis: State-of-the-art and Opportunities of Wearable Technologies from Clinical, Sensing and Intelligent Perception PerspectivesOmar Elnaggar, Andrew Hopkinson, Frans Coenen, Paolo Paoletti5 Advancing Ankle-Foot Orthosis Design through Biomechanics, Robotics, and Additive Manufacturing: A ReviewVidyapati Kumar, Pushpendra Gupta, DK Pratihar6 Comparative Evaluation of Deep Learning Techniques for Multi-Stage Alzheimer's Prediction from Magnetic Resonance ImagesPushpendra Gupta, Pradeep Nahak, Vidyapati Kumar, Dilip Kumar Pratihar*, Kalyanmoy Deb7 Machine Learning Brain Activation Topography for Individual Skill Classification – Need for Leave One Subject Out (LOSO) Cross ValidationTakahiro Manabe, Anirban Dutta8 Transfer Learning based Disease Prognosis in Biomedicine 4.0: Challenges, and OpportunitiesSenthil Kumar Jagatheesaperumal, Sivasankar Ganesan9 Advancements in Biomedical devices: A Comprehensive ReviewM Ubaid, M Shadab Ahmad, Shanay Rab, Yebing Tian, Faiz Iqbal10 Voice and chatbot a hybrid framework using XAI for mental healthDebmitra Ghosh*, Sayani Ghatak, Hrithik Paul11 Wearable Sensors : The pathway to applications of on-body electronicsViktorija Makarovaite*, Robert Horne

Dr. Faiz Iqbal received his B.Tech in Mechanical and Automation Engineering in 2011, M.Tech in Mechatronics Engineering in 2013, and PhD in Manufacturing Automation in 2019 from India. He is currently a Lecturer in the School of Engineering at the University of Lincoln in the UK. He has published several research papers and holds four patents, and has received multiple awards for his contributions in research and innovation. His research interests include Mechatronics, Industrial Automation, Smart Manufacturing, Fluidic logic/Soft Robotics, and Industry 4.0. He successfully delivered a COVID-19 project and was awarded the COVID-19 Engineering Medal by the School of Engineering at the University of Edinburgh. Pushpendra Gupta is pursuing a Ph.D. in Mechanical Engineering at the Indian Institute of Technology Kharagpur. He received his M.Tech in Production Engineering (Gold Medalist) in 2015 and B.Tech in Mechanical and Automation Engineering in 2011 from India. He has also worked as a faculty member for 2.5 years at MITRC Alwar before joining IIT Kharagpur. His research interests include humanoid robots, soft computing, evolutionary optimization, and their application in multi-criterion optimization, modeling, and machine learning. Vidyapati Kumar is a Ph.D. Research Scholar in the Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in AI-driven Rehabilitation Robotics, Biomechatronics, and Assistive Prosthetic Systems. His research focuses on intelligent prosthetic control, wearable biomedical devices, and advanced sensor fusion techniques, including electromyography (EMG), inertial measurement units (IMU), and force-sensitive resistors (FSR), aimed at enhancing mobility and improving quality of life for individuals with physical impairments.He holds a Master’s degree in Production Engineering from Jadavpur University and a Bachelor’s degree in Mechanical Engineering from the West Bengal University of Technology (WBUT). Prior to his doctoral studies, he served as a GATE Faculty member for Unacademy and worked as a Project Assistant at the Central Institute of Mining and Fuel Research.Vidyapati Kumar has published multiple papers in high-impact SCI and Scopus-indexed journals. His research interests include prosthetic design, medical artificial intelligence, explainability methods in AI/ML such as SHAP and LIME, optimization, and multi-criteria decision-making. He actively pursues interdisciplinary collaborations in biomedical robotics, wearable assistive devices, and advanced healthcare technologies.Dr. Dilip Kumar Pratihar is a Professor (HAG Scale) in the Mechanical Engineering Department at IIT Kharagpur, India and former Professor-in-charge of the Centre for Excellence in Robotics. He received his BE (Hons.), M.Tech. in Mechanical Engineering, and Ph.D. from various Indian institutions, as well as post-doctoral study at universities in Japan and Germany. He has received multiple awards, including the University Gold Medal, INSA Teachers' Award, Technologist of the Year Award, and Distinguished Alumnus Award. He has made significant contributions to Artificial Intelligence (AI) and its applications in fields such as Industrial Automation, Robotics, Health Care, and Education Technology. He has published several books and hundreds of publications in reputed journals, conferences, and book chapters. He is a regular reviewer for several international journals and a member of the editorial board of several international journals. He has filed patents and received 1 copyright. He is a Fellow of Institution of Engineers, a Senior Member of IEEE, a Member of ASME, and a Member of AMM.

• 1 Soft Robotics and Computational Intelligence: Transformative Technologies Reshaping Biomedical EngineeringThomas Gaskins, Pushpendra Gupta, Vidyapati Kumar, DK Pratihar, Faiz Iqbal2 Application of Multi-Bistatic Frequency-Domain Measurements for Enhanced Medical Sensing and ImagingBehnaz Sohani*, Amir Rahmani, Aliyu Aliyu3 Mathematics in Biomedical Robotics and Devices: Opportunities, Challenges, and Potential Impact on Healthcare DeliveryMo Sadique, Sapna Ratan Shah, Sardar M N Islam*4 Sensor-enabled Sleep Posture Analysis: State-of-the-art and Opportunities of Wearable Technologies from Clinical, Sensing and Intelligent Perception PerspectivesOmar Elnaggar, Andrew Hopkinson, Frans Coenen, Paolo Paoletti5 Advancing Ankle-Foot Orthosis Design through Biomechanics, Robotics, and Additive Manufacturing: A ReviewVidyapati Kumar, Pushpendra Gupta, DK Pratihar6 Comparative Evaluation of Deep Learning Techniques for Multi-Stage Alzheimer's Prediction from Magnetic Resonance ImagesPushpendra Gupta, Pradeep Nahak, Vidyapati Kumar, Dilip Kumar Pratihar*, Kalyanmoy Deb7 Machine Learning Brain Activation Topography for Individual Skill Classification – Need for Leave One Subject Out (LOSO) Cross ValidationTakahiro Manabe, Anirban Dutta8 Transfer Learning based Disease Prognosis in Biomedicine 4.0: Challenges, and OpportunitiesSenthil Kumar Jagatheesaperumal, Sivasankar Ganesan9 Advancements in Biomedical devices: A Comprehensive ReviewM Ubaid, M Shadab Ahmad, Shanay Rab, Yebing Tian, Faiz Iqbal10 Voice and chatbot a hybrid framework using XAI for mental healthDebmitra Ghosh*, Sayani Ghatak, Hrithik Paul11 Wearable Sensors : The pathway to applications of on-body electronicsViktorija Makarovaite*, Robert Horne

Dr. Faiz Iqbal received his B.Tech in Mechanical and Automation Engineering in 2011, M.Tech in Mechatronics Engineering in 2013, and PhD in Manufacturing Automation in 2019 from India. He is currently a Lecturer in the School of Engineering at the University of Lincoln in the UK. He has published several research papers and holds four patents, and has received multiple awards for his contributions in research and innovation. His research interests include Mechatronics, Industrial Automation, Smart Manufacturing, Fluidic logic/Soft Robotics, and Industry 4.0. He successfully delivered a COVID-19 project and was awarded the COVID-19 Engineering Medal by the School of Engineering at the University of Edinburgh. Pushpendra Gupta is pursuing a Ph.D. in Mechanical Engineering at the Indian Institute of Technology Kharagpur. He received his M.Tech in Production Engineering (Gold Medalist) in 2015 and B.Tech in Mechanical and Automation Engineering in 2011 from India. He has also worked as a faculty member for 2.5 years at MITRC Alwar before joining IIT Kharagpur. His research interests include humanoid robots, soft computing, evolutionary optimization, and their application in multi-criterion optimization, modeling, and machine learning. Vidyapati Kumar is a Ph.D. Research Scholar in the Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in AI-driven Rehabilitation Robotics, Biomechatronics, and Assistive Prosthetic Systems. His research focuses on intelligent prosthetic control, wearable biomedical devices, and advanced sensor fusion techniques, including electromyography (EMG), inertial measurement units (IMU), and force-sensitive resistors (FSR), aimed at enhancing mobility and improving quality of life for individuals with physical impairments.He holds a Master’s degree in Production Engineering from Jadavpur University and a Bachelor’s degree in Mechanical Engineering from the West Bengal University of Technology (WBUT). Prior to his doctoral studies, he served as a GATE Faculty member for Unacademy and worked as a Project Assistant at the Central Institute of Mining and Fuel Research.Vidyapati Kumar has published multiple papers in high-impact SCI and Scopus-indexed journals. His research interests include prosthetic design, medical artificial intelligence, explainability methods in AI/ML such as SHAP and LIME, optimization, and multi-criteria decision-making. He actively pursues interdisciplinary collaborations in biomedical robotics, wearable assistive devices, and advanced healthcare technologies.Dr. Dilip Kumar Pratihar is a Professor (HAG Scale) in the Mechanical Engineering Department at IIT Kharagpur, India and former Professor-in-charge of the Centre for Excellence in Robotics. He received his BE (Hons.), M.Tech. in Mechanical Engineering, and Ph.D. from various Indian institutions, as well as post-doctoral study at universities in Japan and Germany. He has received multiple awards, including the University Gold Medal, INSA Teachers' Award, Technologist of the Year Award, and Distinguished Alumnus Award. He has made significant contributions to Artificial Intelligence (AI) and its applications in fields such as Industrial Automation, Robotics, Health Care, and Education Technology. He has published several books and hundreds of publications in reputed journals, conferences, and book chapters. He is a regular reviewer for several international journals and a member of the editorial board of several international journals. He has filed patents and received 1 copyright. He is a Fellow of Institution of Engineers, a Senior Member of IEEE, a Member of ASME, and a Member of AMM.

• 1 Soft Robotics and Computational Intelligence: Transformative Technologies Reshaping Biomedical EngineeringThomas Gaskins, Pushpendra Gupta, Vidyapati Kumar, DK Pratihar, Faiz Iqbal2 Application of Multi-Bistatic Frequency-Domain Measurements for Enhanced Medical Sensing and ImagingBehnaz Sohani*, Amir Rahmani, Aliyu Aliyu3 Mathematics in Biomedical Robotics and Devices: Opportunities, Challenges, and Potential Impact on Healthcare DeliveryMo Sadique, Sapna Ratan Shah, Sardar M N Islam*4 Sensor-enabled Sleep Posture Analysis: State-of-the-art and Opportunities of Wearable Technologies from Clinical, Sensing and Intelligent Perception PerspectivesOmar Elnaggar, Andrew Hopkinson, Frans Coenen, Paolo Paoletti5 Advancing Ankle-Foot Orthosis Design through Biomechanics, Robotics, and Additive Manufacturing: A ReviewVidyapati Kumar, Pushpendra Gupta, DK Pratihar6 Comparative Evaluation of Deep Learning Techniques for Multi-Stage Alzheimer's Prediction from Magnetic Resonance ImagesPushpendra Gupta, Pradeep Nahak, Vidyapati Kumar, Dilip Kumar Pratihar*, Kalyanmoy Deb7 Machine Learning Brain Activation Topography for Individual Skill Classification – Need for Leave One Subject Out (LOSO) Cross ValidationTakahiro Manabe, Anirban Dutta8 Transfer Learning based Disease Prognosis in Biomedicine 4.0: Challenges, and OpportunitiesSenthil Kumar Jagatheesaperumal, Sivasankar Ganesan9 Advancements in Biomedical devices: A Comprehensive ReviewM Ubaid, M Shadab Ahmad, Shanay Rab, Yebing Tian, Faiz Iqbal10 Voice and chatbot a hybrid framework using XAI for mental healthDebmitra Ghosh*, Sayani Ghatak, Hrithik Paul11 Wearable Sensors : The pathway to applications of on-body electronicsViktorija Makarovaite*, Robert Horne