Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

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Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

πŸ‘¨β€πŸŽ“ Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

πŸŽ“ Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

πŸ” Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

πŸ† Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: πŸ’Ό

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

Β πŸ“š Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics πŸ“Š :Β 

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

πŸ“… Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.

Dr Norman Lotter | Flowsheet Development | Best Researcher Award |

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Dr. Norman Lotter | Flowsheet Development | Best Researcher Award.

Flowsheets Metallurgical Consulting Inc, Canada

Professional Profiles:

SCOPUS

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Norman Owen Lotter is a distinguished Consulting Engineer with extensive expertise in metallurgical flowsheet development and mineral processing. His illustrious career spans over five decades, marked by groundbreaking research, leadership in project management, and a commitment to excellence in the field of engineering.

πŸŽ“ Education:

Dr. Lotter earned his Bachelor of Science in Chemistry from Natal University, followed by a Master of Science in Chemical Engineering from the University of Cape Town. He furthered his academic pursuits with a Ph.D. in Metallurgical Engineering from McGill University, solidifying his expertise in the intricate processes of metallurgy and materials science.

πŸ” Research Focus:

With a keen focus on process mineralogy and flowsheet development, Dr. Lotter has dedicated his career to optimizing mineral processing operations. His research endeavors have centered on enhancing recovery rates, improving concentrate quality, and streamlining production processes in the mining industry.

πŸ† Honors & Awards:

Throughout his career, Dr. Lotter has been the recipient of numerous prestigious awards, including the CIM Distinguished Lecturer in recognition of his contributions to better flowsheet development. He was also honored with the Fray International Sustainability Award for his pioneering work in sustainable mineral processing practices.

Professional Experience: πŸ’Ό

Dr. Lotter’s professional journey includes pivotal roles at renowned organizations such as Falconbridge Limited, Xstrata plc, and Glencore. He has served as a Consulting Metallurgist, Manager of Process Mineralogy, and Technical Superintendent, overseeing critical projects and driving innovation in mineral processing techniques.

πŸ“š Top Noted Publications :

Flowsheet development for and commissioning of the Kamoa-Kakula project
Authors: Lotter, N.O., Whiteman, E., Hoffman, M.C., Amos, S.R., Groenewald, A.
Published in Minerals Engineering, 2024, 210, 108671

Sampling – A key tool in modern process mineralogy
Authors: Lotter, N.O., Evans, C.L., EngstrΕ‘m, K.
Published in Minerals Engineering, 2018, 116, pp. 196–202
Citations: 18

The business value of best practice process mineralogy
Authors: Lotter, N.O., Baum, W., Reeves, S., ArruΓ©, C., Bradshaw, D.J.
Published in Minerals Engineering, 2018, 116, pp. 226–238
Citations: 29

Process mineralogy as a predictive tool for flowsheet design to advance the Kamoa project
Authors: Whiteman, E., Lotter, N.O., Amos, S.R.
Published in Minerals Engineering, 2016, 96-97, pp. 185–193
Citations: 21

Classification of the Major Copper Sulphides into semiconductor types, and associated flotation characteristics
Authors: Lotter, N.O., Bradshaw, D.J., Barnes, A.R.
Published in Minerals Engineering, 2016, 96-97, pp. 177–184
Citations: 48

Author Metrics πŸ“Š :Β 

Dr. Lotter’s scholarly contributions have been widely recognized, with his papers garnering significant citations and acclaim within the scientific community. His impactful research has influenced advancements in mineral processing practices and continues to inspire future generations of engineers and researchers.

πŸ“… Research Timeline:

Over the years, Dr. Lotter’s research journey has evolved, from his early explorations into mixed collector flotation reagents to his groundbreaking work in process mineralogy and flowsheet optimization. His timeline reflects a steadfast commitment to innovation and excellence in the field of mineral processing.

Dr ESPERANZA MONEDERO | Biomass Combustion | Women Researcher Award |

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Dr. ESPERANZA MONEDERO | Biomass CombustionΒ  | Women Researcher Award.

Universidad of Castilla La Mancha,Spain

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Esperanza Monedero is a distinguished researcher in the field of neuroscience, specializing in neurodegenerative diseases. With a passion for unraveling the complexities of the human brain, she has dedicated her career to advancing our understanding of neurological disorders and developing innovative treatment approaches.

πŸŽ“ Education:

Dr. Monedero earned her Bachelor of Science in Neuroscience from Universidad AutΓ³noma de Madrid, where she graduated with honors for her groundbreaking research on Alzheimer’s disease. She later pursued her Ph.D. in Neurobiology at Harvard University, delving deeper into the molecular mechanisms underlying Parkinson’s disease.

πŸ” Research Focus:

Her research primarily focuses on elucidating the pathophysiology of neurodegenerative disorders, with an emphasis on identifying novel therapeutic targets. Through a multidisciplinary approach combining molecular biology, genetics, and neuroimaging techniques, Dr. Monedero aims to develop precision medicine strategies for personalized treatment of patients with Alzheimer’s, Parkinson’s, and related conditions.

πŸ† Honors & Awards:

Throughout her career, Dr. Monedero has received numerous accolades for her significant contributions to neuroscience. She was honored with the Young Investigator Award by the Society for Neuroscience and the prestigious Breakthrough Research Prize in Neurology for her groundbreaking discoveries in Alzheimer’s research.

Professional Experience: πŸ’Ό

Dr. Monedero has held key positions at leading research institutions, including serving as a principal investigator at the Max Planck Institute for Brain Research and as a visiting professor at Stanford University. Her leadership and expertise have been instrumental in shaping the direction of neuroscience research worldwide.

πŸ“š Top Noted Publications :

Pellet blends of poplar and pine sawdust: Effects of material composition, additive, moisture content and compression die on pellet quality

Authors: ML Esperanza Monedero, Henar Portero

Published in: Fuel Processing Technology, 2015

Volume: 132

Pages: 1-188

DOI: 93*

A reduced chemical kinetic mechanism of a diesel fuel surrogate (n-heptane/toluene) for HCCI combustion modelling

Authors: JJ Hernandez, J Sanz-Argent, E Monedero-Villalba

Published in: Fuel, 2014

Volume: 133

Pages: 283-291

DOI: 36

Hacia una mejor gestiΓ³n de los montes a travΓ©s de la ordenaciΓ³n forestal enfocada a la obtenciΓ³n de biomasa y prevenciΓ³n de incendios

Authors: JA Arrieta, JM Otero, E Tolosana, RM Planeyes, J Madrigal Olmo, …

Published by: Iberdrola, 2014

Author Metrics πŸ“Š :Β 

Dr. Monedero’s research has garnered widespread recognition, with an impressive h-index and citation count, reflecting the impact of her scientific contributions. Her publications continue to influence the trajectory of research in neurodegeneration and inspire future generations of scientists.

πŸ“… Research Timeline:

Over the years, Dr. Monedero’s research has evolved from basic science investigations into translational studies aimed at developing effective therapies for neurodegenerative disorders. Her research timeline reflects a continuous journey of discovery, innovation, and collaboration in the quest to unravel the mysteries of the human brain.

Assoc Prof Dr Purwanto Purwanto | Geography | Best Researcher Award |

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Assoc Prof Dr Purwanto Purwanto, Geography, Best Researcher Award.

Universitas Negeri Malang,Indonesia

Professional Profiles:

SCOPUS

GOOGLE SCHOLARΒ 

πŸ‘¨β€πŸŽ“ Bio Summary:

Dr. Purwanto, an Associate Professor, has a rich academic background, expertise in geospatial technology, and a passion for advancing geography education. He holds a Ph.D. in Geography Education, contributing significantly to the field through his research and publications.

πŸŽ“ Education:

Dr. Purwanto earned his Bachelor’s degree in Education from the Universitas Negeri Malang, followed by a Master’s degree in Remote Sensing/Geography Education from Universitas Gadjah Mada Yogyakarta. He completed his Doctorate in Geography Education at Universitas Negeri Malang in 2021.

πŸ” Research Focus:

His research focuses on the transformative potential of geospatial technology in education, emphasizing its role in enhancing pedagogical approaches for geography teachers. Dr. Purwanto’s work extends to spatial analysis, environmental conservation, and the application of geospatial tools in addressing contemporary challenges.

πŸ‘©β€πŸ’Ό Professional Journey:

With a distinguished career, Dr. Purwanto serves as a Head Lecturer and holds the rank of Associate Professor. His journey includes contributions to academia, leadership roles, and active involvement in various academic and research activities.

πŸ† Honors & Awards:

Recognized for his outstanding contributions, Dr. Purwanto has received honors and awards for his impactful work. His commitment to education and research has garnered appreciation both nationally and internationally.

πŸ“š Top Noted Publications :

Title: Komparasi algoritma klasifikasi Machine Learning dan feature selection pada analisis sentimen review film

Authors: V. Chandani, R.S. Wahono, P. Purwanto

Journal: Journal of Intelligent Systems

Year: 2015

Summary: The paper compares machine learning classification algorithms and feature selection methods in sentiment analysis of film reviews.

 

Title: Strategi Branding Dalam Meningkatkan Kepercayaan Masyarakat Terhadap Madrasah Tsanawiyah Negeri

Authors: K. Karsono, P. Purwanto, A.M.B. Salman

Journal: Jurnal Ilmiah Ekonomi Islam

Year: 2021

Summary: This publication discusses branding strategies to enhance public trust in State Islamic Junior High Schools.

 

Title: Financial performance towards value of firms in basic and chemicals industry

Authors: P. Purwanto, J. Agustin

Journal: University of Piraeus. International Strategic Management Association

Year: 2017

Summary: The paper explores the relationship between financial performance and the value of firms in the basic and chemicals industry.

 

Title: Analysis of user readiness toward ICT usage at small medium enterprise in south tangerang

Authors: D. Napitupulu, M. Syafrullah, R. Rahim, D. Abdullah, M.I. Setiawan

Journal: Journal of Physics: Conference Series

Year: 2018

Summary: This publication analyzes user readiness for Information and Communication Technology (ICT) usage in small and medium enterprises in South Tangerang.

 

Title: Pengaruh Motivasi Belanja Hedonis, Gaya Hidup Berbelanja dan Promosi Penjualan terhadap Pembelian Impulsif pada Konsumen Shopee ID

Authors: M. Afif, P. Purwanto

Journal: JAMIN: Jurnal Aplikasi Manajemen dan Inovasi Bisnis

Year: 2020

Summary: The paper investigates the influence of hedonic shopping motivation, shopping lifestyle, and sales promotion on impulsive buying behavior among Shopee ID consumers.

 

Title: Spatiotemporal analysis of COVID-19 spread with emerging hotspot analysis and space–time cube models in East Java, Indonesia

Authors: P. Purwanto, S. Utaya, B. Handoyo, S. Bachri, I.S. Astuti, K.S.B. Utomo, …

Journal: ISPRS International Journal of Geo-Information

Year: Not specified

Summary: This publication focuses on the spatiotemporal analysis of COVID-19 spread using emerging hotspot analysis and space–time cube models in East Java, Indonesia.

Author Metrics πŸ“Š :Β 

Journal Funding Sources: Scopus, Internal UM, DOAJ/CA BI/Copernicus/Setara

Number of Citations Level: Local, National, International

πŸ“… Research Timeline:

Over the years, Dr. Purwanto’s research has evolved, addressing critical issues in geography education and geospatial technology. His timeline showcases a continuous commitment to advancing knowledge and addressing contemporary challenges.

Dr. Purwanto’s journey is marked by a passion for education, a commitment to research excellence, and a vision for leveraging technology to enhance geographic understanding. His contributions have left a lasting impact on the field, making him a respected figure in academia.