Karima BENALI | Mathematics | Best Researcher Award

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Dr. Karima BENALI | Mathematics | Best Researcher Award

PHD Diploma, University of Sfax, Tunisia

👩‍🔬 Dr. Karima Benali, a dedicated academic, holds a Ph.D. in Fundamental Mathematics. With two years of teaching experience at the Institut Supérieur de Biotechnologie de Sfax, she is passionate about education and guiding her students to overcome challenges and achieve their full potential.

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Education

🎓 Dr. Benali has an extensive educational background, including specialized training in English communication, project engineering, Python programming, and SPSS software. She completed her Ph.D. in Fundamental Mathematics at the Faculty of Sciences of Sfax, where she also received various other training and certifications.

Experience

👩‍🏫 Dr. Benali has taught at the Faculty of Sciences of Sfax and the Institut Supérieur de Biotechnologie de Sfax. Her roles included supervising directed works for courses in Analysis, Algebra, Biostatistics, Probability, and Statistics across multiple undergraduate programs. She has a strong commitment to enhancing students’ academic experiences through interactive and engaging teaching methods.

Research Interests

🔬 Dr. Benali’s research interests lie in the fields of algebra, particularly Hom-Lie algebras and Bihom-Lie algebras. She has presented her research at numerous international conferences and has published several influential papers in these areas.

Awards

🏆 Dr. Benali has been recognized for her contributions to mathematics with multiple awards and certificates of participation in prestigious conferences, including the Tunisio-Japanese conference, the Algebra and Lie Theory conference in France, and the Euro-Maghreb conference.

Publications

“Bialgebras, the Yang-Baxter equation and Manin triples for mock-Lie algebras”
“Representations of simple Hom-Lie algebras”
“Bialgebras via Manin triples of compatible mock-Lie algebras”

Xuejun Du | Environmental Science | Best Researcher Award

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Dr. Xuejun Du | Environmental Science | Best Researcher Award

Engineer, CECEP Engineering and Technology Research Institute Co. Ltd, China

Xuejun Du is an Engineer at CECEP Engineering and Technology Research Institute Co. Ltd. His expertise lies in improving salt-affected soils, particularly in the Songnen Plain of China, using agricultural and industrial wastes. His research focuses on soil carbon/nitrogen cycling and microbial processes, enhancing crop yields in salt-affected areas.

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Education 📚

Xuejun Du holds specialized training in soil science and agricultural technology, complemented by practical field experience in ecological restoration and agricultural sustainability.

Experience 💼

With extensive experience in research and innovation, Xuejun Du has led numerous projects on soil improvement and published extensively in international journals.

Research Interests 🔬

Xuejun Du’s research interests include soil improvement mechanisms, carbon/nitrogen cycling in soil, and microbial community dynamics in saline environments.

Awards 🏆

Xuejun Du’s pioneering work in salt-affected soil improvement earned him recognition from the Chinese Agricultural Society for his contributions to ecological restoration.

Publications 

Key Technology and Application of Rapid Desalination Ecological Restoration of Saline-alkali Land in Songnen Plain, China

Long-term rice cultivation increases contributions of plant and microbial-derived carbon to soil organic carbon in saline-sodic soils

Responses of soil carbon cycling microbial functional genes to nitrogen and phosphorus addition in saline-sodic soils

A cationic quantum dot-based ratiometric fluorescent probe to visually detect berberine hydrochloride in human blood serums

Effects of a new type of soil amendment on physical and chemical properties of soda alkali-saline soil and yield of the rice

 

Amany Aboulrous | Chemical Engineering | Best Researcher Award

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Dr. Amany Aboulrous | Chemical Engineering | Best Researcher Award

Researcher, Egyptian Petroleum Research Institute, Egypt

Amany Ayman Aboulrous, PhD, is an organic chemistry researcher at the Egyptian Petroleum Research Institute’s Production Department. Her expertise lies in developing environmentally friendly additives and formulations for oil well drilling fluids.

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📚 Education:

Amany holds a PhD in Organic Chemistry from Menoufia University (2019), focusing on corrosion inhibitors in brine systems. She completed her Master’s and Bachelor’s degrees in Organic Chemistry from Benha University in 2013 and 2008, respectively.

🌟 Experience:

Since 2019, Amany has been a full-time researcher at the Egyptian Petroleum Research Institute, specializing in drilling fluids. She has also lectured at Mansoura University and served as a research assistant from 2014 to 2019.

🔬 Research Interests:

Her research interests include nanocomposites for enhanced oil recovery, sustainable drilling technologies, and biopolymer applications in oilfield operations.

🏆 Awards:

Amany received the Egyptian patent for “Preparation Ecofriendly New Lubricants Based on Jatropha Oil Formulation for Oil Well Drilling” in 2020.

Publications:

Enhancing Carbon Dioxide Foam Flooding for Egyptian Oil Recovery: The Role of Arabic Gum Nanocomposites in Foam Stability and Interfacial Properties, Petroleum Science and Technology Journal, 2024.

Comprehensive Review on Wellbore Cleaning: Analyzing Factors, Simulation Models, and Emerging Technologies for Enhanced Drilling Efficiency, Journal of Petroleum and Mining Engineering, 2024.

Natural polymers: industry techniques and applications
Investigation of some locally water-soluble natural polymers as circulation loss control agents during oil fields drilling
Evaluation of some natural water-insoluble cellulosic material as lost circulation control additives in water-based drilling fluid

Michael Bates | Economics | Best Researcher Award

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Prof. Michael Bates | Economics | Best Researcher Award

Assistant Professor, UC Riverside, United States

Michael David Bates is currently an Assistant Professor of Economics at the University of California, Riverside. He earned his Ph.D. in Economics from Michigan State University in 2015 and has since focused his research on labor economics, economics of education, and applied econometrics.

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Education 📚

Michael Bates completed his B.A. in Economics and History at the University of Michigan, Residential College, Ann Arbor, MI in 2006. He then pursued his M.A. and Ph.D. in Economics at Michigan State University, East Lansing, MI, graduating in 2011 and 2015, respectively.

Experience 💼

Since 2015, Michael has served as an Assistant Professor of Economics at the University of California, Riverside. His teaching includes Ph.D. and undergraduate courses in labor economics and empirical research seminars.

Research Interests 📊

Michael Bates’ research interests encompass labor economics, economics of education, and applied econometrics. His work explores topics such as labor market policies, education outcomes, and econometric methodologies.

Awards 🏆

Throughout his career, Michael Bates has received several awards, including the Harold D. Osterweil Prize in Economics from the University of Michigan in 2006 and the Blum Initiative’s Faculty Research Seed Grant at UCR from 2017 to 2019.

Publications

Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels

Estimating the price elasticity of gasoline demand in correlated random coefficient models with endogeneity

Do learning communities increase first-year college retention? Evidence from a randomized control trial

Public and Private Employer Learning: Evidence from the Adoption of Teacher Value Added

Hedonic Prices and Equilibrium Sorting in Housing Markets: A Classroom Simulation

 

Hitesh Mohapatra | Engineering | Best Researcher Award

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Assoc Prof Dr. Hitesh Mohapatra | Engineering | Best Researcher Award

Associate Professor, KIIT Deemed to be University, India

🎓 Dr. Hitesh Mohapatra, based in Bhubaneswar, Odisha, India, is a distinguished education professional with over 15 years of experience spanning both academic and corporate environments. He holds a Ph.D. in Computer Science & Engineering from VSS University of Technology (formerly UCE), Burla, Odisha, focusing on Designing Fault Tolerant Models for Wireless Sensor Networks and integrating them with Smart City applications under the supervision of Prof. Amiya Kumar Rath. His academic journey includes an M.Tech in Computer Science & Engineering from Odisha University of Technology and Research and a B.Tech in Information Technology from GIET University, Gunupur, Odisha.

 

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👨‍🎓 Education

Ph.D. in Computer Science & Engineering from VSS University of Technology, Burla, Odisha, India, specializing in Designing Fault Tolerant Models for Wireless Sensor Networks with integration into Smart City applications. M.Tech in Computer Science & Engineering from Odisha University of Technology and Research, Bhubaneswar, Odisha, India. B.Tech in Information & Technology from GIET University, Gunupur, Odisha, India.

👨‍💼 Experience

Current: Associate Professor at KIIT University, Bhubaneswar, Odisha, India. Previous Positions: Associate Professor at KL University, Vijayawada, Andhra Pradesh; Assistant Professor at SRES College of Engineering, Kopargaon, Maharashtra; Sr. Corporate Trainer & Freelancer at iGlue Soft Technologies Pvt. Ltd., Bangalore, Karnataka; Assistant Professor at GITA Autonomous College, Bhubaneswar, Odisha; and other teaching roles.

📚  Research

Extensive teaching experience in subjects like Internet of Things, Cloud Computing, Data Communication, and more. Published extensively in SCIE/SCI and Scopus/ESCI indexed journals on topics like IoT, WSN, and smart city applications. Presented papers at numerous national and international conferences, including SCOPUS indexed events.

🏆 Awards

Actively involved in consultancy projects for organizations like Odisha High Court and TECHNOWELL ENTERPRISE SERVICES Pvt. Ltd. Supervisor for multiple Ph.D. and M.Tech students in their research pursuits.

📘 Publications

Fault Tolerance in WSN Through PE-LEACH Protocol
H Mohapatra, AK Rath
IET Wireless Sensor Systems 9 (6), 358-365
1412019
Detection and Avoidance of Water Loss Through Municipality Taps in India by Using Smart Tap and ICT
H Mohapatra, AK Rath
IET Wireless Sensor Systems 9 (6), 447-457
1152019
Fault-tolerant mechanism for wireless sensor network
H Mohapatra, AK Rath
IET Wireless Sensor Systems 10 (1), 23 – 30
1092020
A Survey on Fault Tolerance Based Clustering Evolution in WSN
H Mohapatra, AK Rath
IET Networks 9 (4), 145-155
932020
IoE based framework for smart agriculture: Networking among all agricultural attributes
H Mohapatra, AK Rath
Journal of Ambient Intelligence and Humanized Computing, 18
872021
Fundamentals of Software Engineering

Narmilan Amarasingam | Artificial Intelligence | Best Researcher Award

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Mr. Narmilan Amarasingam | Artificial Intelligence | Best Researcher Award

PhD student, Queensland University of Technology, Australia

Researcher specializing in drone-based remote sensing solutions for environmental and surveillance needs, focusing on precision agriculture and biosecurity. Expertise includes UAV remote sensing, artificial intelligence, and multispectral/hyperspectral image processing. Currently pursuing a PhD in Precision Agriculture at Queensland University of Technology.

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🎓 Education

PhD: Precision Agriculture, Queensland University of Technology (2021 – Present). MSc: Agricultural Engineering, Eastern University, Sri Lanka (2016 – 2018). BSc: Agriculture, Agricultural Engineering, Eastern University, Sri Lanka (2010 – 2015). BIT: Software Engineering, University of Colombo School of Computing, Sri Lanka (2011 – 2015)

🔍 Experience

Research Assistant at Charles Sturt University and Sunshine Coast Council on projects integrating AI and drone technology for environmental monitoring and invasive species detection.

🏆 Awards

QUT/Accelerate Higher Education Development Expansion and Development (AHEAD) World Bank Project Scholarship. Vice Chancellor’s Award for Early Career Researcher, Faculty of Technology, 2022.

🌍 Research Interests

Precision Agriculture, UAV-based Remote Sensing, Multispectral Image Processing, AI, Biosystems Engineering, Environmental Management.

📚 Publications

Co-authored numerous peer-reviewed articles in Q1 and non-Q1 ranking journals on topics related to UAV-based remote sensing and AI applications in agriculture and environmental management.

A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imageryDetection of white leaf disease in sugarcane using machine learning techniques over UAV multispectral images
Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models
N Amarasingam, F Gonzalez, ASA Salgadoe, J Sandino, K Powell
E-agricultural concepts for improving productivity: A review

Onder Aybastıer | DNA damage | Best Researcher Award

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Assoc Prof Dr. Onder Aybastıer | DNA damage | Best Researcher Award

Assoc Prof Dr, Bursa Uludag University, Turkey

Assoc. Prof. Dr. Önder Aybastier was born on February 1, 1983, in Bursa, Turkey. He is of Turkish nationality and currently resides at Uludag University, Faculty of Science and Arts, Department of Chemistry, Bursa, Turkey.

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📚 Education:

Ph.D. in Analytical Chemistry (2010-2016) from Uludag University, Graduate School of Natural and Applied Sciences, Bursa, Turkey. M.Sc. in Analytical Chemistry (2006-2010) from Uludag University, Graduate School of Natural and Applied Sciences, Bursa, Turkey. B.Sc. in Chemistry (2001-2005) from Uludag University, Faculty of Science and Arts, Bursa, Turkey.

👨‍💼 Experience:

Assoc. Prof. Dr. Önder Aybastier has held the position of Associate Professor at Uludag University, Faculty of Science and Arts, Department of Chemistry since 2021.

🔬 Research Interests:

His research interests include:Immobilization of enzymes on various matrices for biotechnological applications. Extraction and isolation of bioactive compounds from natural sources. Antioxidant properties and oxidative damage prevention. Analytical chemistry methodologies for bioactive compound analysis.

🏆 Awards:

Patent (2021): A novel hydrogel containing galangin, with Saliha Şahin and Eftal Alp Dorken. Numerous awards for research excellence and contributions to the field of chemistry

📄 Publications: International Journal Publications:

Optimization of Immobilization Conditions of Thermomyceslanuginosus Lipase on Styrene-divinylbenzene Copolymer Using Response Surface Methodology, Journal of Molecular Catalysis B: Enzymatic, 2010.

Determination of Total Phenolic Content in Prunella L. by Horseradish Peroxidase Immobilized onto Chitosan Bioreactor, Analytical Methods, 2011.

Orthogonal Signal Correction-based Prediction of Total Antioxidant Activity Using Partial Least Squares Regression from Chromatograms, Journal of Chemometrics, 2012.

Response Surface Optimized Ultrasonic-Assisted Extraction of Quercetin and Isolation of Phenolic Compounds From HypericumPerforatum L. by Column Chromatography, Separation Science and Technology, 2013.

Optimization of Ultrasonic-Assisted Extraction of Antioxidant Compounds from Blackberry Leaves Using Response Surface Methodology, Industrial Crops and Products, 2013.

Paula Montoya Lopera | Planetary Sciences | Best Researcher Award

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Dr. Paula Montoya Lopera | Planetary Sciences | Best Researcher Award

Research Fellow, CODES – UTAS, Australia

Dedicated and hard-working Economic Geologist Scientist with 23 years of experience specializing in the exploration and research of various mineral deposits, including Ag/Au polymetallic epithermal, orogenic gold vein systems, and gold, copper-molybdenum porphyry deposits and skarns. Known for strong leadership and project implementation skills in applied geoscience and economic development.

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🎓 Education:

Specialization in Pedagogy, Universidad del Norte, Colombia (2022). Ph.D. Earth Science (Economic Geology), CGEO, UNAM University, Mexico (2016 – 2020). M.Sc. Earth Science (Geometallurgy), University of Tasmania, Australia (2012 – 2014). B.Sc. Geologist Engineer, National University, Colombia (1999 – 2004)

🏆 Awards:

🏆 Throughout her career, Dr. Montoya Lopera has received numerous awards, including the prestigious BAL-UNAM Award for the best Earth Science PhD thesis (2020) and a PhD Honorific Mention from CGEO, UNAM (2020). She was nominated for the Alfonso Caso Medal for outstanding PhD candidates at UNAM University and received the UNAM Recognition Award for PhD graduation on time, all in 2020. Earlier, she was honored with the OAS-CONACYT-AMEXID Award for the best PhD student at CGEO, UNAM (2016) and the CONACYT Scholarship Award for her PhD studies (2016-2020), along with the AngloGold Ashanti Scholarship Award for her MSc studies at UTAS, Tasmania, Australia (2012-2014).

💼 Experience:

Senior Economic Geologist Consultant at CCS, North University

Senior Geologist at AngloGold Ashanti

🔍 Research Interests:

🔬 Dr. Montoya Lopera’s professional skills span analytical techniques such as XRF, QXRD, and MLA data analysis, complemented by extensive experience in mine geology, geometallurgy, and applied geoscience. She is proficient in using software tools like Datamine (RM – FUSION X), Leapfrog Geo, and IoGas, among others, contributing significantly to her research and consultancy roles in economic geology and mineral exploration.

Publications 

New insights into the geology and tectonics of the San Dimas mining district, Sierra Madre Occidental, Mexico P Montoya-Lopera, L Ferrari, G Levresse, F Abdullin, L Mata Ore Geology Reviews 105, 273-294 17 2019 Development of a predictive geometallurgical recovery model for the La Colosa, porphyry gold deposits, Colombia. S Leichliter, J Hunt, R Berry, L Keeney, P Montoya-Lopera, … The first AusIMM International Geometallurgy Conference: GeoMet 2011. Brisbane 13 2011 Construcción del pensamiento pedagógico BE García, JG López, M Lopera, P Andrea, AF Moreno, PA Osorio Medellín: Universidad Pontifica Bolivariana 9 2007 New geological, geochronological and geochemical characterization of the San Dimas mineral system: Evidence for a telescoped Eocene-Oligocene Ag/Au deposit in the Sierra Madre …

Pushpendra Singh| Electrical Engineering | Excellence in Research

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Dr. Pushpendra Singh| Electrical Engineering | Excellence in Research

Program Director and Professor -Energy Sciences, Atria University Bengaluru, India

Dr. Pushpendra Singh is a distinguished academician and researcher in Electrical Engineering, currently serving as Program Director and Professor of Energy Sciences at Atria University, Bengaluru. With over 19 years of experience, his expertise spans AI & ML applications, Smart Grid technologies, IoT applications in Electrical systems, Game theory, Power system restructuring, and integration of Distributed Energy Resources and Electric Vehicles.

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🎓 Education:

Dr. Pushpendra Singh holds a Ph.D. in Electrical Engineering from MNIT Jaipur, an M.Tech. in Power Systems also from MNIT Jaipur, and completed a Post Graduate Program in Artificial Intelligence and Machine Learning from NIT Warangal.

💼 Experience:

His professional journey includes leadership roles such as Professor of Electrical Engineering at JK Lakshmipat University, Jaipur, Principal at Sunrise Group of Institutions, Udaipur, and various academic positions at Jaipur Engineering College & Research Centre, Jaipur.

🔍 Research Interests:

His research interests focus on AI & ML applications in electrical systems, Smart Grid technologies, IoT applications, Game theory in energy systems, Power system restructuring, and integration of Electric Vehicles.

🏆 Awards:

Dr. Pushpendra Singh has been recognized with awards such as IEEE PES HAC 2023 Ambassador, Excellence in Innovation by ITSR and Institution of Engineers (India), and multiple honors for his contributions to education and engineering services.

 publications 

Revolutionizing EV Charging stations through IoT

Published Year: 2024

Journal: To be presented at The International Conference (IEEE) on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC 2024)

Cited by: Accepted for presentation

Green Credit Incentivization for EV Charging: A Game-Theoretic Approach

Published Year: 2023

Journal: Presented at The 6th International Symposium on Hydrogen Energy and Energy Technologies (HEET 2023)Cited by: Best Paper Award, published in Journal of Physics: Conference Series

Electric Vehicle Adoption and Integration in Smart Cities: A Game-Theoretic Approach

Published Year: 2023Journal: Presented at The 6th International Symposium on Hydrogen Energy and Energy Technologies (HEET 2023)Cited by: Best Paper Award, published in Journal of Physics: Conference Series

Mohammed Allawi | Engineering | Best Researcher Award

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Dr. Mohammed Allawi | Engineering | Best Researcher Award

University of Anbar,  Iraq

Mohammed Falah Allawi, an Iraqi national, is a distinguished civil engineer specializing in water surface hydrology, dams engineering, and fluid mechanics. He holds a PhD in Civil Engineering from the National University of Malaysia and serves as a lecturer at the University of Anbar.

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📚 Education:

Mohammed earned his B.Sc. in Dams and Water Resources Engineering from the University of Anbar in 2010, followed by an M.Sc. and a PhD in Civil Engineering from the National University of Malaysia in 2016 and 2019, respectively.

🏢 Experience:

He has extensive experience as a field engineer in various construction projects and has lectured at Al Maarif University College and the University of Anbar.

🔍 Research Interests:

His research interests span water resources planning, steel structures, advanced soil mechanics, and the application of artificial intelligence in hydro-environmental modeling.

🏆 Awards:

Mohammed has been recognized for his contributions in environmental ergonomics and holds memberships in several engineering associations across Iraq and the Arab region.

📝 Publications:

Neurocomputing, 2022 – Groundwater level prediction using machine learning models: A comprehensive review. Cited by 186.

Neural Computing and Applications, 2018 – Non-tuned machine learning approach for hydrological time series forecasting. Cited by 101.

Neural Computing and Applications, 2019 – A hybrid bat–swarm algorithm for optimizing dam and reservoir operation. Cited by 97.

Scientific Reports, 2020 – Input attributes optimization using the feasibility of genetic nature inspired algorithm: application of river flow forecasting. Cited by 73.

Environmental Science and Pollution Research, 2018 – Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models. Cited by 66.

RBFNN-based model for heavy metal prediction for different climatic and pollution conditions