Kingsley Eghonghon Ukhurebor has a Ph.D. in Physics Electronics from the University of Benin, Nigeria. He is a Senior Lecturer/Researcher presently at the Department of Physics, Edo State University Uzairue, Nigeria, and also a Research Fellow at WASCAL, Burkina Faso. His research/teaching interests are in Applied, Climate, Environmental, Telecommunications Physics & Material Science (Nanotechnology). He is ranked among the top 50 authors in Nigeria & listed among the world's 2% of Scientists.
His research interests are in the broadly defined area of physical and chemical processes in environmental engineering. Specific examples are: fate and transport of emerging contaminants, such as pharmaceuticals and neonicotinoid insecticides in the environment; sorption and degradation kinetics of organic contaminants; water quality investigations, particularly water quality impacts due to intensive animal agriculture operations; and environmental regulatory issues pertaining to treatment, storage and disposal of hazardous wastes.
His work spans from biomedicine to global health policy, with a unifying theme of regulation and resilience of complex systems at the biological, behavioral and programmatic level. Dr Shankar has extensive experience as a principal investigator of trials in low and middle income countries assessing effects of nutrition and other interventions on maternal, newborn and child mortality and morbidity, on child cognitive development, and on malaria, diarrhea and pneumonia, and immune function.
Andhare’s research focuses on deep learning systems, machine learning systems and the internet of things. His research aims to reduce resource consumption in deep learning, machine learning and large language model (LLM) training and inference, as well as to address their security concerns
Dr. Manesh Kokare is a Co-ordinator of Center of Excellence in Signal and Image Processing. He earned his PhD from IIT Kharagpur, India in 2005 and completed Post Doctoral Research work at UC Santa Barbara, USA in 2012.
Prof T N Nagabhushana graduated from University of Mysore by securing 10th Rank and earned his ME and PhD degrees from Indian Institute of Science, Bengaluru in the field of Electrical Engineering. He has an illustrious career spanning close to four decades covering Teaching, Industry, Research besides Administration. He has taught several advanced courses like, Digital Control of Dynamic systems, Neural Computing, Intelligent Systems, Computational Intelligence and AI for UG and PG programs. He specializes in mathematics of machine learning and serves as scientific advisor to Onco Technologies in evolving efficient AI/ML models for predicting on the early detection of Cancer.
Dr. (Mrs.) Maya Ingle is a distinguished academic and researcher with a Ph.D. in Computer Science from Devi Ahilya University, Indore. She specializes in Software Engineering, Statistical Language Processing, and Algorithms, with a keen interest in Natural Language Processing and Theoretical Computing. With over 28 years of technical and administrative experience, Dr. Ingle currently serves as a Professor and Senior System Analyst at the School of Computer Science and Information Technology, Devi Ahilya University.
Dr. Sailesh Sathe has a significant research profile in the fields of bioinformatics, parallel computing, and computational biology. With 383 citations in total and an h-index of 9, Om has contributed to multiple influential papers, particularly in areas like k-mer counting, parallel processing with OpenMP & OpenCL, and performance evaluation in bioinformatics algorithms.
Dr. Jitendra Tembhurne is a prominent researcher and academic in the field of computer science, with a particular focus on parallel computing, deep learning, and machine learning. He has made significant contributions through his collaborations with other esteemed researchers, such as Tausif Diwan, Chandrashekhar Meshram, and Jitendra Tembhurne, across various topics including cancer detection, fake news detection, and sentiment analysis using advanced deep learning models.
International Conference on Multidisciplinary Applications and Research in Artificial Intelligence