Rajesh Kumar K. V. (Ed.)
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 (Ed.)
Dr.
Hemachandran K
is a distinguished academic and researcher in the fields of Artificial Intelligence, Machine Learning, and Business Analytics. He serves as the Director of the AI Research Centre and Associate Dean of the Graduate Program at the School of Business, Woxsen University. Dr. Hemachandran holds multiple prestigious positions, including Area Chair of the Analytics Department and named professorships: the Zita Zoltay Paprika Professor of Decision Sciences & Business Economics and the Course5i Chair Professor of Business Analytics and Machine Learning. His expertise spans Artificial Intelligence and Machine Learning, contributing significantly to the School of Business at Woxsen University.
Dmitry Spodarets (Ed.)
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.
Parvez Alam Khan (Ed.)
Parvez Alam Khan
is a Lecturer at University Technology PETRONAS with four years of industry and five years of research experience He completed his PhD in Management from University Technology PETRONAS, Malaysia. His research has been featured in leading journals, including Business Strategy and the Environment, Cogent Business & Management, Environmental Science and Pollution Research, and Journal of Risk and Financial Management. Dr Parvez also edited a book with IGI Global and Taylors and Francis. His research interests include sustainable innovation, green innovation, social innovation, sustainable development goals (SDGs), and corporate governance. He teaches courses on accounting, sustainability, sustainable finance, corporate governance, and strategic management.
Bikash Kumar Pradhan (Ed.)
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.