Dr. Radhika Malhotra is an accomplished researcher specializing in Artificial Intelligence (AI) applications in healthcare, particularly focused on machine learning (ML), deep learning (DL), and biomedical engineering. Currently pursuing her PhD at Dr B R Ambedkar National Institute of Technology Jalandhar, her doctoral thesis delves into “Survival Prediction in High-Grade Gliomas using Magnetic Resonance Imaging.” With a cumulative CGPA of 7.75/10, Radhika’s research has significantly advanced through the development of AI-based systems for predicting patient outcomes in challenging medical conditions.Prior to her doctoral studies, Radhika completed a Master of Technology in Microelectronics & VLSI Design from Kurukshetra University, where her thesis explored the application of PECVD-based polymer coatings on silicon substrates for refining wool textiles. Her academic journey began with a Bachelor of Technology in Electronics & Communication from Maharishi Markandeshwar University, achieving a remarkable cumulative GPA of 9.21/10.

Lorenzo Paolo Corgnati is a seasoned Research Engineer at the National Research Council of Italy (CNR), Institute of Marine Science (ISMAR) in Lerici. With a tenure dating back to 2013, he specializes in Coastal Radar, Data Management, and Stereo Vision technologies. Lorenzo’s expertise spans various research contracts and grants, focusing on the development and management of the CNR-ISMAR Coastal High Frequency Radar (HFR) network for sea surface current monitoring. His pivotal role includes technical coordination within the European HFR Node, ensuring the integration and distribution of quality-controlled Near Real Time (NRT) HFR data to international marine data portals. Lorenzo excels in research and software development, contributing significantly to European projects like JERICO-NEXT and SeaDataCloud, and has authored numerous publications and software releases in the field of oceanographic research. His innovative contributions extend to designing IT infrastructures for data management, implementing acoustic communication channels, and developing machine learning models for underwater species recognition. Lorenzo Corgnati’s dedication to advancing marine science through technological innovation underscores his leadership in the field of oceanographic research and data management.

Igor D. Zlotnikov is a dedicated researcher and scientist specializing in the application of Fourier infrared spectroscopy to investigate biological systems and their interactions with pharmaceuticals. He completed his education at Lomonosov Moscow State University, earning a degree from the Chemistry Department in 2023. Currently pursuing a Ph.D. at Limited Liability Company “Binngo-Biotech” while also serving as a scientific employee at the Research and Educational Center for Nanotechnology MSU, Igor has made significant contributions to the field through 25 publications, including 16 in renowned MDPI journals. His pioneering work focuses on using IR spectroscopy to analyze drug efficacy, including the delivery of cytostatics to cancer cells, polymer systems in macrophages, and antibiotic accumulation in bacterial infections. Igor’s research extends to personalized medicine applications, particularly in studying biomaterials from Morozov Hospital and developing innovative biosensors based on macrophage membranes. Co-author of a monograph on nanotechnology in drug delivery and a patent applicant for novel lymphotropic dyes in intraoperative lymphography, Igor Zlotnikov exemplifies a commitment to advancing scientific understanding and medical innovation through interdisciplinary research. This paragraph summarizes Igor’s academic journey, research focus, notable publications, and contributions to the scientific community effectively.

Amir Mostafapour, born in 1971 in Iran, is a distinguished manufacturing engineer with a focus on welding and advanced manufacturing processes. He received his Bachelor’s, Master’s, and Ph.D. degrees in Manufacturing Engineering from the University of Tabriz and the University of Amirkabir, completing his doctorate in 2006. His Ph.D. thesis focused on the “On-Line Monitoring of Tool Wear in Face Milling using Neural Networks,” and his M.Sc. thesis was titled “Automatic Bending Die Design with Expert System.”Dr. Mostafapour has an extensive teaching career that began in 1998 and continues to the present. He has taught a wide range of courses at various institutions, including the University of Tabriz, Sahand University of Technology, and Elm o Sanat University, among others. His teaching repertoire spans advanced topics such as Non-Destructive Testing, Welding Inspection, Coating Methods, and several specialized subjects in manufacturing engineering.Currently, an Associate Professor at the University of Tabriz, Dr. Mostafapour has also supervised numerous Master’s theses, guiding research on topics such as weld-induced residual stresses, finite element modeling, acoustic emission methods, and friction stir processing. His academic contributions and guidance have significantly advanced the field of manufacturing engineering, making him a respected figure in his area of expertise. Dr. Mostafapour continues to inspire future engineers through his teaching and research.