Richa Vij – Computer science and engineering – Best Researcher Award

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Richa Vij - Computer science and engineering - Best Researcher Award

IIT Jammu - India

šŸ‘©ā€šŸ« ACADEMIC AND RESEARCH LEADER

Richa Vij is an Assistant Professor in the Department of Computer Science and Engineering at the Government College of Engineering and Technology, Jammu. With a focus on retinal imaging and artificial intelligence, she brings significant experience in developing innovative computational models aimed at diagnosing systemic diseases like diabetic retinopathy and Alzheimer's. Her academic contributions, both as a professor and researcher, have made her a prominent figure in the field of AI-powered medical diagnostics.

šŸ’» PROJECT ASSOCIATE AT IIT JAMMU

As a Project Associate-II for a DRDO project at IIT Jammu, Richa works on cutting-edge computer science projects that contribute to national development. Her role involves harnessing deep learning and AI methodologies for real-world applications, reflecting her commitment to both academic advancement and practical innovation.

šŸ“š PUBLISHED AUTHOR IN AI AND HEALTHCARE

Richa Vij has authored multiple impactful publications in high-profile journals such as Metabolic Brain Disease and Computers and Electrical Engineering. Her research has focused on leveraging deep learning techniques to advance the early detection of diseases like Alzheimer's and diabetic retinopathy, contributing significantly to medical imaging and AI diagnostic systems.

šŸ”¬ PIONEERING RETINAL DISEASE DIAGNOSIS

Her Ph.D. research at SMVDU, Katra, under the supervision of Dr. Sakshi Arora, centers on using hybrid deep transfer learning-based algorithms to analyze retinal images for systemic disease detection. This work aims to enhance the performance of segmentation and classification models, positioning her research at the intersection of healthcare and advanced AI technologies.

šŸ“Š INNOVATIVE M.TECH RESEARCH

Richaā€™s M.Tech dissertation focused on "Robust Human Face Tracking and Recognition in Video Frames." By developing a novel face recognition model using the AdaBoost algorithm and K-means clustering, she addressed key challenges in face recognition, such as pose variation and occlusion, further showcasing her expertise in machine learning and pattern recognition.

šŸ§  FOCUS ON DIABETIC RETINOPATHY AND ALZHEIMERā€™S

Her work is particularly influential in the early diagnosis of Diabetic Retinopathy and Alzheimerā€™s disease through retinal imaging. By utilizing AI-based models for retinal vessel segmentation, her contributions are paving the way for improved diagnostic frameworks, with potential applications in clinical environments for early and accurate disease detection.

šŸŒŸ COMMITMENT TO AI-DRIVEN HEALTHCARE

Richaā€™s dedication to advancing AI-driven healthcare solutions is reflected in her ongoing research and teaching. She strives to bridge the gap between technology and healthcare by developing intelligent systems that can assist practitioners in diagnosing complex diseases, ultimately contributing to better patient outcomes and more efficient clinical workflows.

NOTABLE PUBLICATION

Title: A systematic review on diabetic retinopathy detection using deep learning techniques
Authors: R. Vij, S. Arora
Journal: Archives of Computational Methods in Engineering
Year: 2023

Title: A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification
Authors: R. Vij, S. Arora
Journal: Multimedia Tools and Applications
Year: 2023

Title: Computer vision with deep learning techniques for neurodegenerative diseases analysis using neuroimaging: a survey
Authors: R. Vij, S. Arora
Journal: International Conference on Innovative Computing and Communications
Year: 2022

Title: A systematic survey of advances in retinal imaging modalities for Alzheimerā€™s disease diagnosis
Authors: R. Vij, S. Arora
Journal: Metabolic Brain Disease
Year: 2022

Title: A survey on various face detecting and tracking techniques in video sequences
Authors: R. Vij, B. Kaushik
Journal: 2019 International Conference on Intelligent Computing and Control Systems
Year: 2019

Francisco J. G. Silva – Robotics – Excellence in Research

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Francisco J. G. Silva - Robotics - Excellence in Research

Polytechnic Institute of Porto - Portugal

AUTHOR PROFILE

SCOPUS

šŸŽ“ ACADEMIC AND PROFESSIONAL EDUCATION

Francisco J. G. Silva is a Mechanical Engineer with extensive qualifications, including Habilitation, PhD, MSc, and BSc degrees. His educational background is complemented by a substantial career in both academic teaching and industrial research, bridging the gap between scientific knowledge and practical application.

šŸ›ļø UNIVERSITY TEACHING AND ADMINISTRATION

Silva has served as an Associate Professor with Habilitation at ISEP ā€“ School of Engineering, Polytechnic of Porto (IPP), where he has been instrumental in shaping the mechanical engineering curriculum and directing the masterā€™s degree program. He has also held significant administrative roles, including Director of the BSc Degree in Mechanical Engineering at ESEIG and Sub-Director of the Mechanical Engineering Department at ISEP.

šŸ“š RESEARCH AND PUBLICATIONS

With over 300 papers published in prestigious journals such as ELSEVIER, SPRINGER, and MDPI, Silva's research encompasses a broad spectrum of topics within Mechanical Engineering, Materials Science, and Industrial Engineering. His work has significantly contributed to advancements in advanced manufacturing processes, materials characterization, and additive manufacturing.

šŸ“ BOOKS AND EDITORIAL WORK

Silva is a prolific author and editor, having published 16 books, including three written in 2023. He has contributed to numerous special issues as a Guest Editor for renowned journals, showcasing his expertise in various fields. His role as founder of the Journal of Coating Science and Technology further highlights his impact on the scientific community.

šŸŒ CONFERENCE LEADERSHIP AND COMMITTEES

He has been an active participant and leader in the international conference circuit, serving as General Chair of FAIM 2023 and a member of several scientific committees for conferences across the globe. His involvement in these conferences underscores his commitment to advancing the field through collaborative and innovative research.

šŸ† RECOGNITIONS AND AWARDS

Silvaā€™s contributions to the field have been recognized with multiple accolades, including the Top Reviewer Awards from Publons and MDPI. He has also received Best Paper Awards and other honors, reflecting his esteemed position in the academic and research community.

šŸš€ CURRENT PROJECTS AND FUTURE INITIATIVES

Currently, Silva is leading the DRIVOLUTION project at ISEP, a research initiative focused on advanced manufacturing technologies, with a funding of 1.5 million euros. His ongoing projects and research efforts continue to drive advancements in mechanical engineering and materials science, contributing to both academic and industrial advancements.

NOTABLE PUBLICATION

Calcium phosphateā€“calcium titanate composite coatings for orthopedic applications
Authors: J.E. Arce, A.E. Arce, Y. Aguilar, L. Yate, S. Moya, C. RincĆ³n, O. GutiĆ©rrez
Year: 2016
Journal: Ceramics International

Production and characterization of aluminum powder derived from mechanical saw chips and its processing through powder metallurgy
Authors: A.E.A.L.M. Rojas-Dƭaz, L.E. Verano-JimƩnez, E. MuƱoz-Garcƭa, J. Esguerra-Arce
Year: 2019
Journal: Powder Technology

The evolution of the microstructure and properties of ageable Al-Si-Zn-Mg alloy during the recycling of milling chips through powder metallurgy
Authors: P.A. Pulido-SuƔrez, K.S. UƱate-GonzƔlez, J.G. Tirado-GonzƔlez, J. Esguerra-Arce
Year: 2020
Journal: Journal of Materials Research and Technology

Influence of the Al content on the in vitro bioactivity and biocompatibility of PVD Ti1āˆ’xAlxN coatings for orthopedic applications
Authors: A. Esguerra-Arce, J. Esguerra-Arce, L. Yate, C. Amaya, L.E. Coy, Y. Aguilar, et al.
Year: 2016
Journal: RSC Advances

Morteros geopolimericos reforzados con fibras de carbono basados en un sistema binario de un subproducto industrial
Authors: S. Bernal, J. Esguerra, J. Galindo, R.M. de GutiƩrrez, E. Rodrƭguez, et al.
Year: 2009
Journal: Revista Latinoamericana de Metalurgia y Materiales