Hend Ouertani | Oral Surgery | Best Researcher Award

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Assoc Prof Dr. Hend Ouertani | Oral Surgery | Best Researcher Award

Hend Ouertani at Military Hospital of Tunis, Faculty of Dental Medicine, University of Monastir, Tunisia

Summary:

Dr. Hend Ouertani is an Associate Professor specializing in oral surgery with a distinguished career at the Military Hospital of Tunis. She also teaches at the Faculty of Dental Medicine, University of Monastir. Her academic journey includes diplomas in oral implantology and hypnosis, along with multiple certificates in areas such as occlusodontia, medical research, and cognitive behavioral therapy. Dr. Ouertani has authored and co-authored about twenty scientific articles published in national and international journals, and she frequently lectures at national and international conferences. She also serves as a reviewer for the Tunisie Médicale journal and the International Journal of Surgery Case Reports.

Professional Profile:

👩‍🎓Education:

Diplomas:

  • Oral Implantology
  • Hypnosis

Certificates:

  • Occlusodontia
  • Medical Research and Epidemiology
  • Digital Learning Management
  • Pedagogy of Medical Sciences
  • Cognitive and Behavioral Therapy
  • Oral Microbiota

🏢 Professional Experience:

Dr. Hend Ouertani is an Associate Professor in Oral Surgery at the Military Hospital of Tunis and part of the teaching staff at the Faculty of Dental Medicine, University of Monastir. With extensive experience in oral surgery, she has contributed to academic and clinical excellence, mentoring dental students and conducting advanced oral surgery procedures. Dr. Ouertani has also been involved in digital learning initiatives and pedagogical innovations within the medical sciences. Her clinical expertise in oral implantology and experience in cognitive and behavioral therapy for dental patients are instrumental in her teaching and practice.

Research Interests:

Dr. Ouertani’s research focuses on oral implantology, oral microbiota, and occlusodontia. She also explores interdisciplinary applications of cognitive and behavioral therapy in dental practices and digital learning management in medical education. Additionally, she is engaged in epidemiological studies related to oral health.

Author Metrics:

Publications: Approximately 20 scientific articles in national and international journals.

Reviewer:

  • Tunisie Médicale
  • International Journal of Surgery Case Reports

Lecturer: Frequent speaker at national and international congresses.

Top Noted Publication:

1. Dental Waste Management and Ecoresponsability Among Private Practitioners in Tunisia: National Survey

Authors: Ouertani, H., Becher, E., Jemaa, M., Masmoudi, R., Khattech, M.B.
Journal: Toxicologie Analytique et Clinique
Year: 2024 (In Press)
Summary: This study investigates dental waste management practices and eco-responsibility among private dental practitioners in Tunisia. The national survey assesses current waste disposal methods, compliance with environmental regulations, and aims to propose sustainable solutions for dental practices.

2. Assessment of Therapeutic Compliance and Its Associated Factors in Tunisian Adult Asthmatic Patients

Authors: Zaibi, H., Allouche, A., Jemia, E.B., Amar, J.B., Aouina, H.
Journal: Tunisie Médicale
Year: 2023
Volume: 101(2), Pages 266–272
Summary: The article evaluates the therapeutic compliance of Tunisian adult asthmatic patients, identifying key factors that affect their adherence to prescribed treatments. The study highlights the need for improved strategies to enhance treatment outcomes.

3. Misdiagnosis Asthma in Adult, Three Rare Causes

Authors: Zaibi, H., Fessi, R., Jemia, E.B., Amar, J.B., Aouina, H.
Journal: Tunisie Médicale
Year: 2023
Volume: 101(3), Pages 386–390
Summary: This article discusses three rare conditions mistaken for asthma in adults. It emphasizes the importance of accurate differential diagnosis in respiratory diseases to avoid misdiagnosis and inappropriate treatments.

4. Mammary Analogue Secretory Carcinoma: A Case Report

Authors: Hedhli, F., Ouertani, H., Gargouri, F., Valent, A., Khatteche, B.
Journal: Tunisie Médicale
Year: 2020
Volume: 98(2), Pages 168–171
Citations: 2
Summary: This case report describes a rare case of mammary analogue secretory carcinoma (MASC), a type of salivary gland tumor. The report details the clinical presentation, diagnostic process, and therapeutic approach, contributing to the growing body of literature on this rare entity.

5. Ridge Augmentation with Titanium Mesh: A Case Report

Authors: Jegham, H., Masmoudi, R., Ouertani, H., Turki, S., Khattech, M.B.
Journal: Journal of Stomatology, Oral and Maxillofacial Surgery
Year: 2017
Volume: 118(3), Pages 181–186
Citations: 12
Summary: This case report presents the use of titanium mesh in ridge augmentation, focusing on its application in dental implantology. It highlights the surgical technique, clinical outcomes, and its effectiveness in managing complex bone regeneration cases for dental implants.

Conclusion:

Assoc. Prof. Dr. Hend Ouertani is an exceptional candidate for the Best Researcher Award. Her wide-ranging expertise in oral surgery, implantology, and public health, combined with her innovative research on cognitive behavioral therapy and eco-responsibility, make her a strong contender. Her dual academic and clinical roles, alongside her commitment to mentorship and public engagement, further distinguish her as a leader in her field.

To strengthen her candidacy, focusing on increasing the global impact of her publications and expanding interdisciplinary collaborations could propel her research to even greater heights. Dr. Ouertani’s contributions are significant, particularly in the areas of dental surgery, patient care, and sustainable medical practices, and she holds great potential for continued innovation in oral health research. Thus, she is well-suited for this prestigious award.

 

 

Yunge Zou | Control Strategy | Best Researcher Award

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Dr. Yunge Zou | Control Strategy | Best Researcher Award

Yunge Zou at Chongqing University, China

Summary:

Yunge Zou is a Ph.D. student at Chongqing University, specializing in hybrid powertrain design and optimization. Recognized under elite talent programs, he has contributed to multiple national-level projects, focusing on improving vehicle efficiency and extending battery life. Zou’s research integrates advanced control strategies with powertrain design, resulting in tangible benefits in vehicle performance and energy management. His innovative methods in hybrid powertrains have been implemented in commercial vehicles, showcasing the practical impact of his research.

Professional Profile:

👩‍🎓Education:

Yunge Zou received his Bachelor of Engineering (B.E.) degree in Automotive Engineering from Chongqing University, China, in 2018. He is currently pursuing his Ph.D. in hybrid powertrain design and optimization at the Vehicle Power System Laboratory, Department of Automotive Engineering, Chongqing University. Zou is recognized under the prestigious Chongqing Excellence Program and the Shapingba Elite Talents Program for 2023-2025.

🏢 Professional Experience:

As a Ph.D. candidate, Yunge Zou has been involved in several key research projects, collaborating with leading industry and academic organizations. His research mainly focuses on the design and optimization of hybrid powertrains and battery degradation in electric vehicles. He has made significant contributions to the development of energy management strategies and has been recognized for his work on improving fuel efficiency, battery life, and vehicle performance. Zou has actively collaborated with industry leaders such as Chang’an New Energy Automobile Technology Co., Ltd. and Chongqing Sokon Industry Group, contributing to breakthroughs in battery degradation technology.

Research Interests:

Yunge Zou’s research interests include hybrid powertrain design, battery degradation, transportation electrification, energy management, and powertrain optimization. His current work addresses battery life optimization, hybrid energy storage systems (HESS), and powertrain control, with a particular focus on reducing battery degradation through innovative design and control methods.

Author Metrics:

Yunge Zou has published research papers in prestigious journals such as the Journal of Power Sources. His work on aging-aware co-optimization of hybrid electric powertrains has gained recognition for its practical applications in the automotive industry. Zou holds multiple patents related to hybrid powertrain systems and has contributed to key advancements in battery degradation optimization.

Top Noted Publication:

  • Design of All-Wheel-Drive Power-Split Hybrid Configuration Schemes Based on Hierarchical Topology Graph Theory
    Authors: Y. Yang, P. Li, H. Pei, Y. Zou
    Journal: Energy
    Volume: 242
    Article ID: 122944
    Year: 2022
    Citations: 13
    This paper presents a design framework for all-wheel-drive power-split hybrid configurations, leveraging hierarchical topology graph theory to optimize performance and efficiency. The proposed method helps improve the structural configuration and energy management of hybrid powertrains.
  • Aging-Aware Co-Optimization of Topology, Parameter, and Control for Multi-Mode Input-and Output-Split Hybrid Electric Powertrains
    Authors: Y. Zou*, Y. Yang, Y. Zhang, C. Liu
    Journal: Journal of Power Sources
    Volume: 624
    Article ID: 235564
    Year: 2024
    Citations: Not yet available (published in 2024)
    This paper introduces a co-optimization approach for hybrid electric powertrains that takes into account aging effects on the battery, optimizing not just the powertrain topology, but also its parameters and control strategies to enhance battery life and vehicle performance.
  • Design of Optimal Control Strategy for Range Extended Electric Vehicles Considering Additional Noise, Vibration, and Harshness Constraints
    Authors: Y. Zhang, Y. Yang, Y. Zou, C. Liu
    Journal: Energy
    Article ID: 133287
    Year: 2024
    Citations: Not yet available (published in 2024)
    This paper addresses the design of an optimal control strategy for range-extended electric vehicles (REEVs), incorporating noise, vibration, and harshness (NVH) constraints. The research aims to improve the driving experience while maintaining energy efficiency and performance.

Conclusion:

Dr. Yunge Zou is a highly promising researcher who stands out in the field of hybrid powertrain design and optimization. His interdisciplinary approach, focus on practical applications, and ability to bridge theory and industry make him a strong candidate for the Best Researcher Award. While there are areas for improvement, such as increasing the citation impact of his recent publications and broadening his industry collaborations, Zou’s contributions to energy management and vehicle performance optimization are significant and show great potential for future advancements in the field of sustainable transportation. His work is not only innovative but also holds real-world implications that can positively impact both the automotive industry and environmental sustainability. Therefore, Dr. Zou is an excellent candidate for this award.

 

 

Ritwik Maiti | Mechanical Engineering | Best Researcher Award

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Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Assistant Professor at Birla Institute of Technology Mesra, India

Summary:

Dr. Ritwik Maiti is an accomplished researcher in the field of fluid dynamics and granular flow, with a particular emphasis on the behavior of granular materials in various contexts such as silos, open channels, and underground cavities. His work has contributed significantly to understanding the flow of granular media in natural and industrial processes. Dr. Maiti has held prestigious research positions at the National University of Singapore and the University of Sheffield, where he worked on projects ranging from wind-tunnel tests to flow modeling in porous media. He is currently contributing to the academic and research community at Birla Institute of Technology Mesra, where he continues his innovative research on granular flows and their interactions with fluid dynamics.

Professional Profile:

👩‍🎓Education:

Dr. Ritwik Maiti is an Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi. He earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Kharagpur (2011–2017), where his research focused on the dynamics of dense granular flows through silos, closed channels, and open channels. Dr. Maiti holds a Master of Engineering (M.E.) in Heat Power Engineering from Jadavpur University, Kolkata (2009–2011), and a Bachelor of Technology (B.Tech) in Mechanical Engineering from Kalyani Government Engineering College, West Bengal (2008).

🏢 Professional Experience:

Dr. Maiti has extensive research experience in both mechanical and civil engineering. From 2018 to 2021, he was a Research Fellow with the Fluid Mechanics Research Group at the National University of Singapore, where he worked on projects related to wind-tree interaction and the minimization of granular mixture segregation. Prior to this, he was a Research Associate at the University of Sheffield (2017–2018), where he focused on modeling flow through porous granular media as part of the Geotechnical Engineering Research Group. His professional expertise includes the design and development of experimental fluid flow facilities and the handling of advanced equipment such as high-speed cameras, particle image velocimetry, and particle analyzers.

Research Interests:

Dr. Maiti’s research interests lie at the intersection of fluid mechanics and granular flow. His areas of focus include:

  • Experimental Fluid Dynamics
  • Granular Flow Dynamics
  • Geophysical Flows and Avalanches
  • Granular Mixing and Segregation
  • Fluid-Structure Interaction
  • Impact Crater Analysis
  • Underground Cavity Collapse
  • Multiphase Flows
  • Discrete Element Model (DEM)
  • Computational Fluid Dynamics (CFD) and CFD-DEM Coupling

He is also skilled in high-speed photography, image processing, and the use of software such as Matlab, Autocad, and LIGGGHTS for simulation and analysis.

Author Metrics:

Dr. Maiti has published numerous articles in international journals and conferences, including:

  • 10 publications in top-tier journals such as Physics of Fluids, Powder Technology, and AIChE Journal.
  • Contributions to leading conferences such as the International Conference on Fluid Mechanics and Fluid Power and the International Conference on Multiphase Flow.
  • A book chapter published by Springer in 2017.
  • Several research papers currently under review in journals like Powder Technology and Ocean Engineering.

Dr. Maiti’s research on granular dynamics has garnered significant attention in his field, contributing valuable insights into both theoretical models and practical applications.

Top Noted Publication:

Experiments on Eccentric Granular Discharge from a Quasi-Two-Dimensional Silo

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Powder Technology
  • Volume: 301
  • Pages: 1054-1066
  • Year: 2016
  • Citations: 35
  • Summary: This study presents experimental investigations on granular discharge from a quasi-two-dimensional silo with an eccentric outlet. The paper discusses the flow behavior, discharge rates, and the formation of patterns in the granular material as it exits the silo. The experiments provide a detailed understanding of the flow field dynamics during eccentric discharge.

Granular Drainage from a Quasi-2D Rectangular Silo through Two Orifices Symmetrically and Asymmetrically Placed at the Bottom

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Physics of Fluids
  • Volume: 29 (10)
  • Year: 2017
  • Citations: 25
  • Summary: This research explores the granular flow through a rectangular silo with two bottom orifices, placed both symmetrically and asymmetrically. The work examines how different placement configurations of the orifices affect the flow and drainage dynamics of granular materials, contributing valuable insights into granular discharge mechanics.

Flow Field During Eccentric Discharge from Quasi-Two-Dimensional Silos—Extension of the Kinematic Model with Validation

  • Authors: R. Maiti, S. Meena, P.K. Das, G. Das
  • Journal: AIChE Journal
  • Volume: 62 (5)
  • Pages: 1439-1453
  • Year: 2016
  • Citations: 19
  • Summary: This paper extends a kinematic model to describe the flow field during eccentric discharge from a quasi-2D silo. The study provides experimental validation of the model and offers insights into the flow patterns and velocity fields of granular materials, expanding the understanding of discharge processes in industrial and natural granular systems.

Cracking of Tar by Steam Reforming and Hydrogenation: An Equilibrium Model Development

  • Authors: R. Maiti, S. Ghosh, S. De
  • Journal: Biomass Conversion and Biorefinery
  • Volume: 3
  • Pages: 103-111
  • Year: 2013
  • Citations: 6
  • Summary: This paper focuses on developing an equilibrium model for tar cracking using steam reforming and hydrogenation. The study addresses the challenges associated with tar removal in biomass gasification and proposes a model to predict the outcomes of chemical reactions involved in the process.

Self-Organization of Granular Flow by Basal Friction Variation: Natural Jump, Moving Bore, and Flying Avalanche

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: AIChE Journal
  • Volume: 69 (1)
  • Article: e17943
  • Year: 2023
  • Citations: 2
  • Summary: This recent study investigates the self-organization phenomena in granular flows due to variations in basal friction. The paper describes natural jumps, moving bores, and flying avalanches in granular media, providing key insights into the mechanics of granular flow and segregation.

Conclusion:

Dr. Ritwik Maiti’s contributions to fluid dynamics and granular flow research, particularly in areas like silo flows and porous media, make him a strong candidate for the Best Researcher Award. His published work demonstrates both depth and innovation in key fields of mechanical engineering, and his international experience enhances his profile. While expanding his research into more applied fields and taking on greater leadership roles could strengthen his application, his current contributions to science are exceptional, positioning him well for recognition in the field of mechanical engineering research.

 

S. A. Gandjalikhan Nassab | Solar Air Heater | Best Researcher Award

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Prof Dr. S. A. Gandjalikhan Nassab | Solar Air Heater | Best Researcher Award

Supervisor at Shahid Bahonar University of Kerman, Iran

Summary:

Prof. Dr. S. A. Gandjalikhan Nassab is a distinguished professor and researcher in mechanical engineering, specializing in heat transfer, fluid mechanics, and renewable energy. With over three decades of experience in academia, he has made significant contributions to the development of mechanical engineering education and research in Iran. He has authored numerous research papers and has been recognized for his outstanding contributions to the field with multiple honors. His expertise and leadership have earned him a top position in the academic community, and he continues to lead innovative research in heat transfer and energy systems.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Mechanics, Shiraz University (1993-1999), First Rank among all accepted students.
  • M.Sc. in Energy Conversion, Tehran University (1989-1991), First Rank among all accepted students.
  • B.Sc. in Mechanical Engineering, Shiraz University (1984-1989), Second Rank among all accepted students.

🏢 Professional Experience:

Prof. Dr. S. A. Gandjalikhan Nassab is a highly accomplished academic and researcher in the field of mechanical engineering, with a particular focus on heat transfer, fluid mechanics, and renewable energy. He has held several prestigious academic and administrative positions throughout his career, including:

  • Full Professor, since 2011.
  • Head of the Mechanical Engineering Department, Shahid Bahonar University (2002-2005).
  • Head of the Mechanical Engineering Department for Graduate Level, Kerman Azad University (2014-2017).
  • Head of the Mechanical Engineering Department, Kerman Azad University (1993-1996).

Prof. Dr. Nassab’s leadership in these roles has contributed significantly to the development of the mechanical engineering programs and research at these institutions.

Research Interests:

Prof. Dr. Nassab’s research spans several key areas of mechanical engineering, with a particular focus on advanced heat transfer mechanisms and renewable energy. His research interests include:

  • Radiation Heat Transfer
  • Tribology
  • Numerical and Analytical Fluid Mechanics and Heat Transfer
  • Computational Fluid Dynamics (CFD) and Grid Generation
  • Simulation of Complicated Geometries under Heat and Mass Transfer

His ongoing research explores combined radiation-convection and conduction heat transfer, renewable energy solutions, advanced thermodynamics, and fluid mechanics.

Current Research Titles:

  • Combined Radiation-Convection and Conduction Heat Transfer
  • Renewable Energy
  • Advanced Heat Transfer (Conduction, Convection, and Radiation)
  • Numerical Radiative Heat Transfer
  • Advanced Thermodynamics and Fluid Mechanics

Scientific Honors:

  • Recognized as the Top Researcher of Shahid Bahonar University for three distinct years: 2009, 2011, and 2022.

Author Metrics:

Prof. Dr. Nassab has contributed extensively to the academic literature in his fields of expertise. His research work is highly cited in the domains of radiation heat transfer, CFD, renewable energy, and fluid mechanics, with a significant number of publications in high-impact journals and conferences. His recognition as a top researcher at Shahid Bahonar University highlights the influence of his scholarly contributions in both the academic and research communities.

Top Noted Publication:

Combined Heat Transfer of Radiation and Natural Convection in a Square Cavity Containing Participating Gases

  • Authors: K Lari, M Baneshi, S.A.G. Nassab, A Komiya, S Maruyama
  • Journal: International Journal of Heat and Mass Transfer, 54 (23-24), 5087-5099
  • Citations: 132
  • Year: 2011
    This paper explores the combined heat transfer effects of radiation and natural convection in a square cavity with participating gases, offering insights into multi-mode heat transfer processes.

Turbulent Forced Convection Flow Adjacent to Inclined Forward Step in a Duct

  • Authors: S.A.G. Nassab, R Moosavi, S.M.H. Sarvari
  • Journal: International Journal of Thermal Sciences, 48 (7), 1319-1326
  • Citations: 70
  • Year: 2009
    This research investigates the turbulent forced convection flow in a duct with an inclined forward step, contributing valuable information on fluid dynamics and heat transfer behavior in complex geometries.

Theoretical Analysis of Porous Radiant Burners under 2-D Radiation Field Using Discrete Ordinates Method

  • Authors: M.M. Keshtkar, S.A.G. Nassab
  • Journal: Journal of Quantitative Spectroscopy and Radiative Transfer, 110 (17), 1894-1907
  • Citations: 60
  • Year: 2009
    This paper provides a theoretical analysis of porous radiant burners under two-dimensional radiation fields using the discrete ordinates method, focusing on radiant heat transfer in energy systems.

Three-Dimensional Thermohydrodynamic Analysis of Axially Grooved Journal Bearings

  • Authors: S.A.G. Nassab, M.S. Moayeri
  • Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
  • Citations: 49
  • Year: 2002
    This research focuses on the thermohydrodynamic analysis of axially grooved journal bearings, a critical component in mechanical systems involving fluid dynamics and tribology.

A Three-Dimensional Finite Element Analysis of the Effects of Restorative Materials and Post Geometry on Stress Distribution in Mandibular Molar Tooth Restored with Post-Core Crown

  • Authors: M. Mahmoudi, A. Saidi, S.A.G. Nassab, M.A. Hashemipour
  • Journal: Dental Materials Journal, 31 (2), 171-179
  • Citations: 47
  • Year: 2012
    This paper presents a finite element analysis on the stress distribution in restored mandibular molars with post-core crowns, integrating principles of mechanical engineering with dental materials science.

Conclusion:

Prof. Dr. S. A. Gandjalikhan Nassab is a highly qualified candidate for the Best Researcher Award. His extensive experience, strong leadership in mechanical engineering, and impactful research contributions in heat transfer, renewable energy, and fluid dynamics make him a standout in the academic and scientific communities. His research has not only advanced the field of mechanical engineering but also contributed to sustainable energy solutions, addressing global challenges in energy efficiency and optimization.

While there are opportunities to enhance his research’s interdisciplinary scope and foster greater international collaborations, Dr. Nassab’s outstanding academic career, mentorship, and numerous scientific honors reflect his strong standing in the research community. His continued efforts in advancing renewable energy technologies make him a deserving candidate for this prestigious award.

 

Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

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Dr. Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

Teacher researcher at Private University of Fez, Macau

Summary:

Dr. Zineb Bounoua is a researcher and academic specializing in renewable energy, with a particular focus on solar radiation modeling and forecasting. She has contributed significantly to the development of innovative methods for estimating and predicting global solar irradiation, utilizing machine learning, artificial neural networks (ANNs), and deep learning approaches. Dr. Bounoua’s work aims to improve the accuracy and reliability of solar energy predictions, which are crucial for optimizing solar power generation.

She has published numerous articles in high-impact journals such as Sustainable Materials and Technologies and Journal of Cleaner Production, where her research explores the use of meteorological data and machine learning techniques for daily and hourly solar irradiation forecasts. Her contributions to solar energy research are recognized globally, with several of her papers being widely cited.

Professional Profile:

👩‍🎓Education:

  • Doctorate in Electrical Engineering (2016–2021)
    University: Sidi Mohammed Ben Abdellah University (USMBA), Faculty of Science and Technology, Fes, Morocco
    Laboratory: Intelligent Systems, Geo-resources, and Renewable Energies (SIGER)
    Thesis: Estimation and Prediction of Solar Radiation using Machine Learning and Deep Learning Models
    Honors: Very Honorable with Jury Congratulations
    Summary: Her thesis focuses on analyzing and predicting temporal variations of different solar components (GHI, DHI, and DNI) using machine learning and deep learning techniques, with applications for solar energy management and energy mix strategies.
  • Master of Science and Technology in Electronics, Signals, and Automated Systems (2014–2016)
    University: USMBA, Fes, Morocco
    Honors: Good
  • Bachelor of Science and Technology in Electronics, Telecommunications, and Informatics (2010–2014)
    University: USMBA, Fes, Morocco
    Honors: Very Good

🏢 Professional Experience:

  • Assistant Professor (February 2023 – Present)
    Institution: Faculty of Engineering Sciences, Private University of Fes (UPF)
    Roles:

    • Coordinator of Scientific Preparatory Classes (CPS)
    • Technical advisor at KUB789, UPF
  • Adjunct Lecturer (February 2022 – January 2023)
    Institution: School of Technology (EST), USMBA
    Field: Thermal and Energy Engineering
  • Adjunct Lecturer (2017–2022)
    Institution: Faculty of Science and Technology, USMBA
    Field: Electrical Engineering

Teaching Experience

Dr. Bounoua has an extensive teaching portfolio in electrical engineering and renewable energies, including courses on artificial intelligence, control systems, fluid mechanics, and solar power systems at both undergraduate and postgraduate levels. She has supervised numerous student projects and final-year thesis projects in engineering disciplines, especially in renewable energy systems.

Research Interests:

  • Machine Learning and Deep Learning for Solar Radiation Prediction
  • Renewable Energy Systems and Energy Mix Optimization
  • Energy Efficiency and Environmental Monitoring Systems
  • Intelligent Control Systems and Embedded Systems

Scientific Contributions

  • Coordinator for two research topics in collaboration with Frontiers journals:
    • Smart Systems for Monitoring of Solar Energy Production in Frontiers in Energy Research (Impact Factor: 4.008)
    • Techniques and Methods for Modelling and Forecasting: Applications to Energy Efficiency in Buildings, to Solar Energy, and to Air Quality in Frontiers in Built Environment
  • Peer Reviewer for leading journals:
    • Energy Storage Materials (IF: 17.789)
    • International Journal of Energy Research (IF: 5.164)
    • Energy Sources, Part A (IF: 1.184)
    • Frontiers in Energy Research (IF: 4.008)
  • Member of Scientific Committees for organizing academic conferences and workshops.

Dr. Zineb Bounoua is recognized for her work in bridging advanced machine learning models with practical applications in renewable energy, contributing to the optimization of solar energy production and management strategies.

Top Noted Publication:

Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations

  • Authors: Z. Bounoua, L. O. Chahidi, A. Mechaqrane
  • Journal: Sustainable Materials and Technologies (Volume 28, e00261)
  • Citations: 78
  • Year: 2021

New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks

  • Authors: M. Marzouq, Z. Bounoua, H. El Fadili, A. Mechaqrane, K. Zenkouar, et al.
  • Journal: Journal of Cleaner Production (Volume 209, Pages 1105-1118)
  • Citations: 49
  • Year: 2019

Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study

  • Authors: Z. Bounoua, A. Mechaqrane
  • Journal: Sustainable Materials and Technologies (Volume 36, e00599)
  • Citations: 13
  • Year: 2023

ANN-based modelling and prediction of daily global solar irradiation using commonly measured meteorological parameters

  • Authors: M. Marzouq, Z. Bounoua, A. Mechaqrane, H. El Fadili, Z. Lakhliai, K. Zenkouar
  • Journal: IOP Conference Series: Earth and Environmental Science (Volume 161, Issue 1, Article 012017)
  • Citations: 13
  • Year: 2018

Prediction of daily global horizontal solar irradiation using artificial neural networks and commonly measured meteorological parameters

  • Authors: Z. Bounoua, A. Mechaqrane
  • Journal: AIP Conference Proceedings (Volume 2056, Issue 1)
  • Citations: 7
  • Year: 2018

Conclusion:

Dr. Zineb Bounoua is a highly deserving candidate for the Best Researcher Award. Her pioneering work in solar radiation prediction using machine learning and deep learning, combined with her extensive academic experience, showcases her as a leader in the renewable energy research field. Her contributions to solar energy optimization have the potential to significantly impact the global transition toward sustainable energy solutions.

While there are opportunities for Dr. Bounoua to expand her collaborations and scale her research to a global level, her current research trajectory, leadership, and high-impact publications make her an outstanding candidate for this prestigious award. Her work stands at the intersection of innovation, sustainability, and energy, and she is poised to continue making meaningful contributions to the renewable energy sector.

 

 

Yiqiong Du | Agricultural Greenhouse Gas Emission | Best Researcher Award

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Ms. Yiqiong Du | Agricultural Greenhouse Gas Emission | Best Researcher Award

Yiqiong Du at Shanxi University China

Summary:

Yiqiong Du is an emerging researcher in the field of ecology, specializing in agricultural greenhouse gas emissions. A Master’s student at Shanxi University, she has contributed to important work on non-CO2 emissions and green development strategies for China’s agricultural sector. With four SCI-indexed publications under her belt, Yiqiong has made significant strides in understanding and mitigating the ecological impacts of agriculture, and her research is set to contribute to sustainable food systems in China. Her passion for innovation has also led her to spearhead an award-winning project for graduate students.

Professional Profile:

👩‍🎓Education:

Yiqiong Du is a Master’s student at Shanxi University, where she has pursued coursework in ecology with a focus on agricultural greenhouse gas (GHG) emissions. Her academic excellence has been consistently recognized with first-prize scholarships in 2023 and 2024. Additionally, she has conducted significant research at the Institute of Geographic Sciences and Natural Resources Research, contributing to four SCI-indexed papers, including two as the primary author.

🏢 Professional Experience:

During her research tenure, Yiqiong Du has focused on reducing agricultural non-CO2 emissions and promoting green development. She has authored multiple research papers and contributed to reports on China’s poverty alleviation efforts. As the lead investigator for an innovation project targeted at Shanxi graduates, she gained practical experience in research management. Yiqiong’s research has had a tangible impact, particularly in the assessment of greenhouse gas emissions from both animal husbandry and crop systems. Her experience also includes quantifying emission sources, providing crucial insights for reducing emissions at their source.

Research Interests:

Yiqiong’s research interests revolve around agricultural non-CO2 GHG emissions and strategies for reducing dietary-related emissions. Her work focuses on optimizing agricultural practices to support sustainable development and green growth, with special attention to the ecological and climate impacts of farming practices. Additionally, she has explored dietary greenhouse gas reduction strategies, investigating the protein gap in dietary structures and how adjustments can contribute to a low-carbon agri-food system.

Top Noted Publication:

  • Title: Optimizing dietary habits for climate benefits in China: Greenhouse gas emissions and sustainable substitution strategies
    Authors: Du, Y., Zhao, Z., Zhang, F., Du, Z.
    Journal: Sustainable Production and Consumption
    Year: 2024
    Volume: 51
    Pages: 292–302
  • Title: Structural decomposition analysis of agricultural Non-CO2 greenhouse gas emission intensity in China
    Authors: Li, M., Zhang, F., Du, Y., Zhang, M.
    Journal: Physics and Chemistry of the Earth
    Year: 2024
    Volume: 134
    DOI: 103581
  • Title: Agricultural non-CO2 greenhouse gas emissions in the farming-pastoral ecotone of Northern China from crop and livestock systems
    Authors: Du, Y., Du, Z., Zhang, F.
    Journal: Environmental Impact Assessment Review
    Year: 2024
    Volume: 106
    DOI: 107508
  • Title: Farm size and greenhouse gas emission: Do large farms in China produce more emissions?
    Authors: Zhao, Z., Zhang, F., Du, Y., Cai, Y., Jin, G.
    Journal: Agricultural Economics (Czech Republic)
    Year: 2024
    Volume: 70(3)
    Pages: 112–124
    Citations: 1

Conclusion:

Ms. Yiqiong Du is an exceptionally promising candidate for the Best Researcher Award, particularly in the field of agricultural greenhouse gas emissions. Her strong academic background, innovative research contributions, and leadership in managing research projects at an early career stage make her a compelling choice. While she can benefit from increased international exposure and further refinement of her research scope, her current trajectory positions her as a significant future leader in sustainable agriculture and climate change mitigation.

 

 

Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

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Dr. Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

Assistant Professor at OSAKA UNIVERSITY / SANKEN, Japan
Summary:

Dr. Shreyam Chatterjee is a Specially Appointed Assistant Professor in the Department of Soft Nanomaterials at ISIR, Osaka University. He received his Ph.D. in Chemistry from the Indian Association for the Cultivation of Science (IACS), Kolkata, under the guidance of Prof. Arun Kumar Nandi. Dr. Chatterjee’s research interests include the development of novel π-conjugated systems for organic semiconductors used in organic electronics, such as organic solar cells (OSCs) and organic field-effect transistors (OFETs). His contributions to the field of organic photovoltaics have resulted in multiple patents and international recognition. He has secured research funding from prestigious institutions like the University College London (UCL) and Osaka University, highlighting his leadership in developing greener organic photovoltaics. Dr. Chatterjee has also been featured in several prominent publications, including the Journal of Materials Chemistry A and Nikkan Kogyo Shimbun.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Chemistry (2008-2013): Indian Association for the Cultivation of Science (IACS), Jadavpur, Kolkata, India. Supervised by Prof. Arun Kumar Nandi.
  • B.Ed. (Bachelor of Education) (2007-2008): The University of Burdwan, First Class.
  • M.Sc. in Chemistry (2005-2007): The University of Burdwan, First Class.
  • B.Sc. in Chemistry (2002-2005): Burdwan Raj College, First Class.
    Awarded Memorial Prize for highest marks in practicals.

🏢 Professional Experience:

  • Specially Appointed Assistant Professor, Department of Soft Nanomaterials, ISIR, Osaka University (2021–Present).
    • Research collaboration with Prof. Yutaka Ie, focusing on organic semiconductors for applications in organic electronics.
  • Specially Appointed Assistant Professor, ISIR, Osaka University (2020–2021).
    • Selected from Osaka University for continuation in research related to organic photovoltaics.
  • Specially Appointed Researcher, ISIR, Osaka University (2018–2020).
    • Worked under Prof. Yoshito Tobe on developing π-conjugated systems.
  • Specially Appointed Assistant Professor, ISIR, Osaka University (2017–2018).
    • Research on organic semiconductors with Prof. Yoshio Aso.
  • Specially Appointed Researcher, ISIR, Osaka University (2013–2017).
    • Continued research on developing novel organic acceptor materials with Prof. Yoshio Aso.

Research Interests:

Dr. Shreyam Chatterjee’s research focuses on the development of novel π-conjugated systems for use in organic semiconductors in organic electronics, particularly in organic solar cells (OSCs) and organic field-effect transistors (OFETs). His work emphasizes the creation of large-area processable, lightweight, and flexible organic electronic devices. A key aspect of his research involves developing organic acceptor materials compatible with cost-effective, bulk-available donor polymer poly(3-hexyl thiophene) (P3HT). His innovations have led to power conversion efficiencies of around 6.00% and the production of a 1.00-meter OPV-solar module via a roll-to-roll process for practical applications. His research results have been published in highly reputed international journals, and he has produced multiple patents related to organic semiconductors and solar cells.

Selected Achievements and Honors:

  • 2022: Awarded the University College London (UCL)-Osaka University (OU) Strategic Partner Research Fund for “Developing and understanding new materials for even greener organic photovoltaics” (£10,000).
  • 2021: Awarded the UCL-OU Strategic Partner Research Fund for “Development of Novel Materials for Green Organic Photovoltaics” (£10,000).
  • 2021: Featured as an Emerging Investigator in the Journal of Materials Chemistry A.
  • 2021: Guest Editor for the Frontiers in Materials special issue on Innovators in Energy Materials.
  • 2008: Qualified for the National Eligibility Test (NET) (CSIR) and Graduate Aptitude Test in Engineering (GATE).

Author Metrics:

  • Research Articles: Published in high-impact journals such as Nature Communications, Journal of Materials Chemistry A, and others.
  • Citations: His work has been widely cited by the scientific community, reflecting the impact of his contributions to organic electronics and photovoltaics.
  • Patents: Dr. Chatterjee has filed multiple patents for novel organic semiconductor materials and processes

Top Noted Publication:

“Changing the morphology of polyaniline from a nanotube to a flat rectangular nanopipe by polymerizing in the presence of amino-functionalized reduced graphene oxide and its…”

  • Authors: S. Chatterjee, R.K. Layek, A.K. Nandi
  • Published in: Carbon, Vol. 52, Pages 509-519, 2013
  • Citations: 81
  • Summary: This study focuses on the morphological transformation of polyaniline (PANI) from nanotubes to flat rectangular nanopipes by polymerizing in the presence of amino-functionalized reduced graphene oxide. The work highlights the impact of graphene oxide on the morphological and conductive properties of polyaniline, which could have implications for its use in advanced materials and electronics.

“Nonfullerene acceptors for P3HT-based organic solar cells”

  • Authors: S. Chatterjee, S. Jinnai, Y. Ie
  • Published in: Journal of Materials Chemistry A, Vol. 9, Issue 35, Pages 18857-18886, 2021
  • Citations: 63
  • Summary: This paper reviews the use of nonfullerene acceptors (NFAs) in P3HT-based organic solar cells, providing an overview of the structural design, synthesis, and performance of these acceptors. It emphasizes the potential of NFAs to improve the efficiency of polymer-based solar cells, which are pivotal for the development of cost-effective and large-area photovoltaic devices.

“Naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐Containing π‐Conjugated Compound: Nonfullerene Electron Acceptor for Organic Photovoltaics”

  • Authors: S. Chatterjee, Y. Ie, M. Karakawa, Y. Aso
  • Published in: Advanced Functional Materials, Vol. 26, Issue 8, Pages 1161-1168, 2016
  • Citations: 57
  • Summary: This research introduces a novel naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐based nonfullerene electron acceptor for organic photovoltaics (OPVs). The study investigates the material’s electronic properties and its potential for improving the efficiency and stability of OPVs, highlighting its applicability for next-generation solar energy solutions.

“Nanochannel morphology of polypyrrole–ZnO nanocomposites towards dye sensitized solar cell application”

  • Authors: S. Chatterjee, A. Shit, A.K. Nandi
  • Published in: Journal of Materials Chemistry A, Vol. 1, Issue 39, Pages 12302-12309, 2013
  • Citations: 43
  • Summary: This study explores the creation of polypyrrole–ZnO nanocomposites with nanochannel morphology, which are applied in dye-sensitized solar cells (DSSCs). The work examines how the unique morphology of these nanocomposites improves their photovoltaic performance and offers insights into the design of efficient DSSCs.

“Dye-sensitized solar cell from polyaniline–ZnS nanotubes and its characterization through impedance spectroscopy”

  • Authors: A. Shit, S. Chatterjee, A.K. Nandi
  • Published in: Physical Chemistry Chemical Physics, Vol. 16, Issue 37, Pages 20079-20088, 2014
  • Citations: 39
  • Summary: This paper details the fabrication of dye-sensitized solar cells using polyaniline–ZnS nanotubes and investigates their performance through impedance spectroscopy. The research discusses the charge transport and recombination mechanisms within the solar cells, shedding light on improving efficiency in solar energy applications.

Conclusion:

Dr. Shreyam Chatterjee is a highly suitable candidate for the Best Researcher Award, given his exceptional contributions to sustainable energy research through innovative organic electronics. His impactful research, demonstrated through numerous high-impact publications, patents, and international collaborations, positions him as a leader in the field. By further expanding the interdisciplinary reach of his work and increasing his mentorship activities, Dr. Chatterjee can continue to elevate his profile as a pioneering researcher in sustainable energy solutions.

 

Shailendra Sinha | Mechanical Engineering, Energy | Best Researcher Award

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Prof. Shailendra Sinha | Mechanical Engineering, Energy | Best Researcher Award

Professor at University of Institute of Engineering and Technology Lucknow, India
Summary:

Prof. Shailendra Sinha is a seasoned academic and researcher specializing in mechanical and thermal engineering. He completed his Ph.D. in Thermal Engineering from the prestigious Indian Institute of Technology, Kanpur, and has over two decades of experience in teaching, research, and academic administration. He has authored over 30 peer-reviewed journal articles and 20 conference papers, with a strong focus on renewable energy, biodiesel research, and hybrid power generation systems. Prof. Sinha has guided numerous doctoral and master’s students, contributing to cutting-edge research in sustainable energy solutions. In addition to his academic responsibilities, he holds various leadership positions within IET Lucknow, enhancing academic programs and fostering research collaborations.

 

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Thermal Engineering, Indian Institute of Technology, Kanpur, India (2008), CGPA 10/10.
  • M.E. in Thermal Engineering, University of Roorkee, Roorkee, India (1992), 70.9%.
  • B.Tech. in Mechanical Engineering, Kamla Nehru Institute of Technology, Sultanpur, India (1989), 76.4%.

🏢 Professional Experience:

Prof. Shailendra Sinha has an extensive academic career in the Department of Mechanical Engineering at the Institute of Engineering and Technology (IET), Lucknow, Uttar Pradesh, India. He has served as a Professor since May 2012, with responsibilities in teaching, research, and administrative roles. Prior to this, he was an Associate Professor from May 2009 to May 2012 and an Assistant Professor from May 2006 to May 2009. He began his career at IET as a Lecturer in May 1996, progressing to Lecturer Sr. Scale by May 2001. Before joining academia, he worked as a Training Engineer in Design and Development at Hindalco Industries Ltd. and as a Senior Engineer (Design) at K.S. Projects & Process Engineers Pvt. Ltd.

Prof. Sinha has also held multiple administrative roles, including Dean, Post Graduate & Research, Head of Department, and Dy. Dean Academics, among others. He has contributed significantly to various institutional committees and academic programs, helping shape the mechanical engineering department and its research output.

Research Interests:

Prof. Sinha’s research primarily focuses on thermal engineering, with an emphasis on biodiesel development, solid oxide fuel cells, energy systems, and engine performance analysis. His work extends into emissions, combustion, and wear investigations, as well as the optimization of hybrid power systems, solar power technologies, and alternative fuel applications in engines.

Author Metrics:

  • Publications: 32 refereed journal articles, 20 conference proceedings.
  • Chapters in Books: 6 chapters.

Top Noted Publication:

Advancements in composite cathodes for intermediate-temperature solid oxide fuel cells: A comprehensive reviewInternational Journal of Hydrogen Energy

2024-03 | journal-article

DOI: 10.1016/j.ijhydene.2024.02.124

Conclusion:

Prof. Shailendra Sinha is a distinguished researcher with a robust academic career, making him a strong contender for the Best Researcher Award. His deep expertise in thermal engineering, renewable energy, and hybrid power systems is highly relevant in today’s push toward sustainable energy. While expanding his international collaborations and industry engagement could enhance his candidacy, his leadership roles, mentorship, and substantial body of research make him a compelling candidate.

 

Adnan Qamar | Sustainability Mechanical Engineering | Best Researcher Award

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Dr. Adnan Qamar | Sustainability Mechanical Engineering | Best Researcher Award

Assistant Professor at University of Engineering and Technology Lahore, Pakistan

Summary:

Dr. Adnan Qamar is a dedicated academic and researcher in the field of mechanical engineering, with a specialization in thermal systems and energy management. He completed his Ph.D. in Mechanical Engineering from UET Lahore in 2022, where his research contributed significantly to the fields of nanofluids and energy conservation. With over a decade of teaching and research experience, Dr. Qamar has a profound understanding of thermal power engineering and has made noteworthy contributions to sustainable energy applications. He has authored more than 35 research papers and has secured multiple research grants. His work is recognized internationally, with significant contributions to conferences, industrial collaborations, and reviewer roles for reputed journals.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Mechanical Engineering
    University of Engineering and Technology, Lahore, Pakistan, 2022
  • M.Sc. in Thermal Power Engineering
    University of Engineering and Technology, Lahore, Pakistan, 2013
  • B.Sc. in Mechanical Engineering
    University of Engineering and Technology, Lahore, Pakistan, 2009

🏢 Professional Experience:

Dr. Adnan Qamar is currently serving as an Assistant Professor in the Department of Mechanical, Mechatronics & Manufacturing Engineering at the University of Engineering and Technology (UET), Lahore (New Campus), Pakistan, since September 2022. His responsibilities include teaching and conducting research in areas related to heat transfer, energy conservation, and nanofluids. Prior to this, Dr. Qamar served as a Lecturer at the same institution from April 2010 to September 2022. His industrial experience includes working as a Trainee Engineer in Quality Control at Millat Tractors Limited, where he was responsible for ensuring quality standards at the Engine Assembly Plant from October 2009 to April 2010.

Research Interests:

Dr. Qamar’s research focuses on various energy-related areas, including heat transfer and thermal management, nanofluids, energy conservation, phase change materials, renewable energy resources, and solar energy conversion. He is particularly interested in sustainable energy solutions and the environmental impact of energy systems.

Author Metrics:

Dr. Qamar’s research has been published in high-impact journals such as Case Studies in Thermal Engineering, Heliyon, Alexandria Engineering Journal, and Journal of Thermal Analysis and Calorimetry. His work emphasizes the development of efficient thermal systems for energy conservation and environmental sustainability, contributing significantly to both academia and industry.

Top Noted Publication:

Advancing sustainable cooling: Performance analysis of a solar-driven thermoelectric refrigeration system for eco-friendly solutionsCase Studies in Thermal Engineering

2024-08 | journal-article
 
DOI: 10.1016/j.csite.2024.104781

Enhanced thermal conductivity of plasma generated ZnO-MgO based hybrid nanofluids: An experimental studyHeliyon

2024 | journal-article

DOI: 10.1016/J.HELIYON.2024.E26396

WOSUID: WOS:001188943200001

Thermal and hydraulic performance of ZnO/EG based nanofluids in mini tubes of different diameters: An experimental investigationHeliyon

2024 | journal-article
 
DOI: 10.1016/J.HELIYON.2024.E26493

WOSUID: WOS:001202190500001

Experimental analysis of thermal performance of direct absorption parabolic trough collector integrating water based nanofluids for sustainable environment applicationsCase Studies in Thermal Engineering

2023-09 | journal-article

DOI: 10.1016/j.csite.2023.103366

Part of ISSN: 2214-157X

Effect of surfactants on the convective heat transfer and pressure drop characteristics of ZnO/DIW nanofluids: An experimental studyCase Studies in Thermal Engineering

2023 | journal-article

DOI: 10.1016/J.CSITE.2023.102716

WOSUID: WOS:000938676900001

Conclusion:

Dr. Adnan Qamar is a highly qualified and competitive candidate for the Best Researcher Award, particularly in the fields of sustainability and mechanical engineering. His research on energy conservation and nanofluids has significant academic and environmental relevance. To further strengthen his candidacy, he could focus on expanding his research’s real-world applications and demonstrate more leadership in mentoring young researchers and building collaborations with industry. Nonetheless, his extensive publication record, international recognition, and commitment to sustainability make him a compelling choice for this award.

 

Nikhil Suryawanshi | Software Development | Best Researcher Award

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Mr. Nikhil Suryawanshi | Software Development | Best Researcher Award

Principal Software Engineer at ADT, United States
Summary:

Mr. Nikhil Suryawanshi is a seasoned Principal Software Engineer with extensive experience in software development, machine learning, and data analysis. His career spans over a decade, during which he has contributed to numerous high-profile projects across industries, including technology, education, and healthcare. His commitment to quality software solutions, coupled with his passion for research, positions him as a thought leader in his field. Nikhil is also actively engaged in the academic community as a peer reviewer for several international journals, including the Cureus Springer Journal and the International Journal of Innovative Research in Engineering (IJIRE). He continues to contribute to advancements in software engineering and data science.

Professional Profile:

👩‍🎓Education:

He holds two Master’s degrees: an M.S. in Technology Management from Campbellsville University, Kentucky, USA, with a CGPA of 3.5, awarded in 2019, and an M.S. in Computer Science from San Francisco Bay University, California, USA, with a CGPA of 3.94, awarded in 2016. He completed his Bachelor of Engineering in Technology at Sinhgad Academy of Engineering, Pune, India, in 2010, graduating with a CGPA of 3.50.

🏢 Professional Experience:

Nikhil Suryawanshi has amassed over 15 years of experience in the IT industry, currently serving as a Principal Software Engineer at ADT Commercial, CA, USA, since July 2019. He leads a team of eight, providing expertise in software development, project management, and training. His technical proficiencies span across Python, .Net, AngularJS, SQL, and software testing, where he has delivered high-quality software solutions and collaborated in leadership meetings to drive corporate strategy. Previously, he worked as a Senior Software Engineer at the same company, contributing to Python-based software development and network testing.

Earlier in his career, Nikhil was an Analytics Manager at IMRB Abacus, Pune, India (2014–2015), where he led data mining and analysis projects for Unilever brands using SPSS and SQL. Before that, he was an Assistant Professor at Sandip Foundation, Nashik, India (2012–2014), teaching Database Management Systems and Computer Networks, while also guiding students on final-year projects. His industry journey began as a Software Engineer at IMRB Abacus, Mumbai, India (2011–2012), where he designed online surveys and dashboards for statistical analysis.

Research Interests:

Nikhil Suryawanshi’s research interests lie in machine learning, sentiment analysis, and data clustering techniques. He is particularly focused on predictive analytics in healthcare and enhancing diagnostic capabilities using machine learning algorithms. His recent research delves into sentiment analysis with machine learning and deep learning techniques, as well as applications of clustering methods like K-Means and Gaussian Mixture Models in healthcare data.

Author Metrics:

Number of Publications: 6

Significant contributions in fields such as machine learning, healthcare, sentiment analysis, air quality prediction, and consumer behavior.

  • Accurate Prediction of Heart Disease Using Machine Learning: 2024
  • Sentiment Analysis with Machine Learning and Deep Learning: A Survey: 2024
  • Enhancing Breast Cancer Diagnosis Through Clustering: 2023
  • Predicting Mental Health Outcomes Using Wearable Device Data and Machine Learning: 2021 
  • Air Quality Prediction in Urban Environment Using IoT Sensor Data: 2020
  • Predicting Consumer Behavior in E-Commerce Using Recommendation Systems: 2019 

Top Noted Publication:

Accurate Prediction of Heart Disease Using Machine Learning: A Case Study on the Cleveland Dataset

  • Journal: International Journal of Innovative Science and Research Technology (IJISRT)
  • Year: 2024
  • Summary: This paper presents a case study on heart disease prediction using the Cleveland dataset, comparing various machine learning models to assess their accuracy and efficacy in diagnosing heart disease.

Sentiment Analysis with Machine Learning and Deep Learning: A Survey of Techniques and Applications

  • Journal: International Journal of Science and Research Archive
  • Volume: 12
  • Issue: 2
  • Pages: 005-015
  • Year: 2024
  • Summary: The paper provides a comprehensive survey of machine learning and deep learning techniques for sentiment analysis, discussing their applications and performance in various domains such as social media, e-commerce, and customer feedback.

Enhancing Breast Cancer Diagnosis Through Clustering: A Study of K-Means, Agglomerative, and Gaussian Mixture Models

  • Journal: International Journal of Innovative Science and Research Technology (IJISRT)
  • Year: 2023
  • Summary: This research explores clustering algorithms like K-Means, Agglomerative, and Gaussian Mixture Models to enhance the accuracy of breast cancer diagnosis, emphasizing the role of unsupervised learning in medical diagnostics.

Predicting Mental Health Outcomes Using Wearable Device Data and Machine Learning

  • Journal: International Journal of Innovative Science and Research Technology (IJISRT)
  • Year: 2021
  • Summary: The study investigates the application of machine learning on data collected from wearable devices to predict mental health outcomes, focusing on stress, anxiety, and other health indicators.

Air Quality Prediction in Urban Environment Using IoT Sensor Data

  • Journal: International Journal of Innovative Science and Research Technology (IJISRT)
  • Year: 2020
  • Summary: The paper discusses air quality prediction using IoT sensor data in urban areas, applying machine learning models to predict air pollution levels and analyze environmental impacts.

Predicting Consumer Behavior in E-Commerce Using Recommendation Systems

  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 4
  • Issue: 9
  • Year: 2019
  • Summary: The study focuses on predicting consumer behavior in e-commerce platforms using recommendation systems, highlighting the effectiveness of machine learning in improving customer engagement and personalization.

Conclusion:

Mr. Nikhil Suryawanshi’s strengths in software development, machine learning, and healthcare analytics, combined with his extensive professional experience, make him a solid candidate for the Best Researcher Award. His technical expertise and contributions to the IT and academic communities are commendable. However, expanding his research impact through more collaborative efforts and publishing in top-tier journals could further enhance his candidacy for such an award. Overall, Nikhil is a deserving candidate, particularly given his innovative work in healthcare and predictive analytics.