The burden of global electronic waste, or e-waste, grows heavier by the day, demanding we take a closer look at the obscure hazards lurking within electronic devices. E-Waste takes a calamitous toll on ecosystems and human well-being, necessitating immediate action. Sustainable Solutions for E-Waste and Development is an academic reference source that takes an incisive journey through the nexus of sustainable development and the surging menace of e-waste. In an age where our lives are orchestrated by gadgets, this book uncovers the profound repercussions that these marvels bear upon our environment, societies, and economies. As the dawn of an imperative revolution beckons, this book casts a discerning eye on unconventional strategies, propelling readers into the realm of pioneering e-waste management, recycling ventures, and circular economy paradigms. It offers a panoramic view of policy blueprints and technological frontiers that could herald a future harmonizing technological progress with environmental sustainability. The book’s compendium of recent research revelations, exemplars, and best practices foster an ecosystem of collaborative inquiry. Written and edited with the cognizance of the topic’s wide audience, the book bridges academic rigor with accessible exposition. From scholars engrossed in environmental science, technology, and sustainable development to policymakers crafting the global legislative tapestry, this publication’s relevance transcends boundaries.

Acerca del autor

Rajesh Kumar K. V. is currently working as Assistant Professor in School of Business, Woxsen University, Hyderabad, Telangana. He earned his M. Tech in Embedded Systems from JNTU, Kakinada, and AMIE in ECE from the Institution of Engineers, Kolkata. He is pursuing his Ph.D. from VIT University, Chennai. He was earlier associated with VIT as Junior Research Fellow and upGrad Educational Private Limited where he was guiding students in selecting research problems and in writing a thesis, to deal with AI/ML models, for those who are pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is signals and sensor-based Data Analytics for Bio-Medical Applications.

Hemachandran Kannan holds the Area Chair of the Analytics Department at Woxsen University. Dr. Hemachandran is an Advisory board member at APT AI Labs, LLC. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications.

Dr. Dmitry Spodarets, Founder & Chief Editor, Data Phoenix, USA, is a entrepreneur with more than 10 years of experience in developing outsourcing and product companies with the focus on Web, Cloud, HPC, and AI/ML technologies. Product management experience with expertise in product development, product strategy, requirements gathering, solution architecture, roadmap planning, task prioritization, community management, online marketing, and customer analytics. Personal commitment to the development of the Ukraine IT ecosystem by organizing technical conferences about Open Source Software, Data Science, AI, Big Data, HPC as well as a speaker at technical conferences in Ukraine, Europe, and the USA. Actively developing an Open Source Software, Data Science and High-Performance Computing community in Ukraine. Dr. Parvez Alam Khan is an Assistant Professor at the School of Business, Woxsen University with 4 years of industry and 5 years of research experience He has completed his Ph.D. in Management from Universiti Teknologi PETRONAS, Malaysia. His research has featured in leading journals including the Business Strategy and the Environment, Cogent Business & Management, Environmental Science and Pollution Research and Journal of Risk and Financial Management. His research interests include sustainable innovation, green innovation, social innovation, SDG and corporate governance. He teaches courses on accounting, sustainability, sustainable finance, corporate governance and strategic managements.

Bikash Kumar Pradhan is a dedicated scholar with a strong academic background. He completed his Ph.D. in Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, Odisha, with a research focus on Biomedical Signal Processing, Statistical Analysis, and Machine Learning, achieving a remarkable CGPA of 9.05. Prior to his doctoral studies, Bikash obtained his M.Tech in Electronics and Communication Engineering from the College of Engineering and Technology, and his B.Tech in Applied Electronics and Instrumentation from the Gandhi Institute of Education and Technology, Gunupur, Odisha. He also excelled in his earlier education, earning a respectable 65% in Intermediate from Panchayat College, Bargarh, Odisha, and scoring 74% in Matric from George High School, Bargarh, Odisha. Bikash's academic achievements include qualifying GATE 2013 with an AIR of 992 (Branch: IN) and presenting as a speaker at the Workshop on "Application of Biomedical Signal Processing" at C.V. Raman Global University, Odisha, in September 2022. He has also actively participated in various workshops and conferences, such as the CCBR Workshop at IIT Madras in January 2020 and the Short Term Course on Machine Learning Using Python at EICT, IIT Roorkee.

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