Rahul Charles C M | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Rahul Charles C M
College of Engineering Muttathara, India
Rahul Charles C M
Affiliation College of Engineering Muttathara
Country India
Google Scholar ID 25ggLCsAAAAJ
Documents 8
Citations 68
h-index 4
Subject Area Engineering
Event Global Innovation Technologist Awards

The Innovative Research Award recognizes research activity demonstrating meaningful contributions to technological and engineering development. Rahul Charles C M, affiliated with the College of Engineering Muttathara, has developed a research profile centred on electric vehicles, power electronic converters, renewable energy systems, electrical machines and energy storage technologies. His published works reflect continued engagement with applied engineering challenges associated with sustainable mobility and modern power systems.[1]

Abstract

Rahul Charles C M is an engineering researcher whose scholarly work addresses power electronics, renewable energy integration, electric vehicle technologies and electrical energy storage. His research output includes studies on bidirectional DC-DC converters, doubly fed induction generators and hybrid energy storage systems. These areas are relevant to the development of efficient and sustainable electrical transportation and power generation infrastructure.[2]

Keywords

Electric Vehicles; Power Electronics; Renewable Energy; Wind Energy Systems; Energy Storage; DC-DC Converters; Electrical Engineering.

Introduction

Engineering research increasingly requires integrated approaches to energy efficiency, renewable generation and intelligent power conversion. Rahul Charles C M has contributed to this broader field through research examining electrical machines, energy management and converter-based systems. His work addresses practical technological requirements while maintaining relevance to sustainable energy and transportation applications.[3]

Research Profile

The research profile of Rahul Charles C M is associated with engineering investigations involving electric drive systems, wind energy conversion and energy storage technologies. His scholarly record includes eight documented research publications with 68 citations and an h-index of 4, according to the supplied research profile data. His work demonstrates a continuing interest in technologies supporting efficient electrical power utilisation and sustainable engineering systems.[1]

Research Contributions

  • Investigation of bidirectional DC-DC converter systems for BLDC motor applications in electric vehicles.
  • Research on field-oriented control of DFIG-based wind energy systems with battery energy storage integration.
  • Analysis of hybrid energy storage approaches for improving electric vehicle energy management.
  • Contribution to multifunctional onboard power electronic converter research for transportation applications.[4]

Publications

Selected publications include research on bidirectional converters for electric vehicles, field-oriented control of wind energy systems, doubly fed induction generators and hybrid energy storage systems. The publication record spans conference proceedings and engineering journals, indicating engagement with both theoretical and application-oriented research dissemination.[2]

Research Impact

Citation activity associated with the research profile indicates scholarly engagement with work concerning renewable power systems and electric mobility. The most cited studies include research on DC-DC converter-fed electric vehicle systems and battery-supported wind energy control. These publications contribute to technical discussions surrounding power conversion, machine control and energy storage integration.[5]

Award Suitability

The research activities of Rahul Charles C M align with the objectives of the Innovative Research Award through their focus on technological innovation and engineering applications. His contributions to electric vehicle power systems, renewable energy technologies and advanced energy storage provide a relevant basis for academic recognition within the Global Innovation Technologist Awards framework.[6]

Conclusion

Rahul Charles C M has established a focused research profile within electrical and energy engineering. His published contributions address contemporary challenges in electric mobility, renewable generation and power electronic systems. The Innovative Research Award profile acknowledges this body of scholarly work and its relevance to continuing technological development.

References

  1. Google Scholar. (n.d.). Rahul Charles C M: Research publications and citation profile. Google Scholar.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ
  2. Charles, R., & Savier, J. S. (2021). Bidirectional DC-DC converter fed BLDC motor in electric vehicle. International Conference on Advances in Electrical and Computing Technologies.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  3. Charles, C. M. R., Vinod, V., & Jacob, A. (2016). Field oriented control of DFIG based wind energy system using battery energy storage system. Procedia Technology, 24, 1203–1210.
    https://doi.org/10.1016/j.protcy.2016.05.127
  4. Charles, C. M. R., & Savier, J. S. (2022). An overview on hybrid energy storage systems for electric vehicles. International Journal of Electric and Hybrid Vehicles, 14(1–2), 56–64.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  5. Charles, C. M. R., Vinod, V., & Jacob, A. (2015). Field oriented control of Doubly Fed Induction Generator in wind power system. IEEE International Conference on Computational Intelligence and Computing Research.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  6. Global Innovation Technologist Awards. (n.d.). Innovation and technology recognition platform.
    innovationtechnologist.com

Yılmaz Erbil | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Yılmaz Erbil
Çukurova University, Turkey

Yılmaz Erbil
Affiliation Çukurova University
Country Turkey
Scopus ID 24824338200
Documents 8
Citations 140
h-index 6
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-7077-2733

Yılmaz Erbil is a researcher affiliated with Çukurova University whose publication record is situated within engineering and textile-related research. The documented body of work includes studies of core and dual-core yarn structures, denim fabric performance, hemp-containing fabrics, moisture and air-transfer properties, and functional polymeric materials. His recent publications provide a basis for evaluating research activity in relation to applied materials and textile engineering.

Abstract

The research profile of Yılmaz Erbil reflects an applied engineering orientation with particular emphasis on textile structures and performance. Recent work examines mechanical properties of hemp-containing denim fabrics with core-engineered weft yarns, air permeability and water-vapour transmission in hemp-blended denim, and improvements in dual-core yarn structures. Earlier research investigated core and dual-core cotton yarn structures for denim applications, while a separate study addressed chitosan hydrogel functionality. These publications collectively indicate an interest in linking material architecture with measurable performance characteristics. [1] [2]

Keywords

Textile engineering; hemp denim; dual-core yarn; core yarn; fabric performance; air permeability; water vapour transmission; mechanical properties; cotton microfiber; chitosan hydrogel.

Introduction

Textile engineering increasingly integrates yarn architecture, alternative fibres and functional materials to improve fabric performance. Erbil’s documented publications address this intersection through experimental investigations of yarn and fabric properties. The research is particularly relevant to denim, where yarn construction can influence mechanical and comfort-related characteristics. [3]

Research Profile

The supplied research metrics report 8 documents, 140 citations and an h-index of 6. The profile is associated with Engineering and Çukurova University in Turkey. These indicators provide bibliometric context, while the publication subjects provide qualitative evidence of a focused research direction.

Research Contributions

  • Investigation of mechanical performance in hemp-containing denim fabrics using core-engineered weft yarns. [1]
  • Comparative examination of hemp blend ratio, weft count and dual-core architecture in denim comfort properties. [2]
  • Development-oriented study of cotton-microfiber hybrid sheaths in dual-core yarn structures. [3]

Publications

Recent publications include Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns (Fibers, 2026), Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics (Textiles, 2026), and Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications (International Journal of Clothing Science and Technology, 2026). Earlier work includes Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics (Journal of Natural Fibers, 2022). [1] [2] [3] [5]

Research Impact

The reported citation count and h-index indicate measurable scholarly visibility. The research also has applied relevance because yarn architecture and fabric composition are directly connected with textile performance parameters. The combination of structural yarn studies and newer hemp-denim investigations suggests continuity in the research programme. The supplied Scopus metrics should be interpreted as a bibliometric snapshot rather than a complete measure of research quality.

Award Suitability

For the Innovative Research Award category, the profile presents relevant evidence through a focused sequence of engineering publications addressing yarn design, textile materials and fabric performance. The 2026 studies extend this direction toward hemp-containing denim and dual-core architectures, while earlier publications demonstrate continuity in the investigation of engineered yarn structures. [1] [5]

Conclusion

Yılmaz Erbil’s documented research profile demonstrates an engineering-focused publication record centered substantially on textile materials, yarn construction and denim performance. The combination of bibliometric indicators and recent peer-reviewed publications provides a substantive basis for consideration within an innovation-oriented academic recognition framework.

References

  1. Erbil, Y. (2026). Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns. Fibers.
    https://doi.org/10.3390/fib14090095
  2. Erbil, Y. (2026). Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics: A Comparative Study of Hemp Blend Ratio, Weft Count and Dual-Core Weft Architecture. Textiles.
    https://doi.org/10.3390/textiles6030089
  3. Erbil, Y. (2026). Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications. International Journal of Clothing Science and Technology.
    https://doi.org/10.1108/IJCST-09-2025-0166
  4. Erbil, Y. (2024). Synthesis, characterization, and antibacterial effect of St. John’s wort oil loaded chitosan hydrogel. International Journal of Biological Macromolecules.
    https://doi.org/10.1016/j.ijbiomac.2024.129444
  5. Erbil, Y. (2022). Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics. Journal of Natural Fibers.
    https://doi.org/10.1080/15440478.2021.1982837
  6. Elsevier. (n.d.). Scopus author details: Yılmaz Erbil, Author ID 24824338200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24824338200

Vidya Nandikolla | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Vidya Nandikolla
California State University, United States

Vidya Nandikolla
Affiliation California State University
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4151-4783

Vidya Nandikolla is an engineering researcher whose published work addresses robotics, simultaneous localization and mapping (SLAM), brain-computer interfaces (BCI), machine learning, and intelligent robotic control. The research portfolio demonstrates an interdisciplinary connection between computational methods, sensing, human–robot interaction, and autonomous systems. [1]

Abstract

The Innovative Research Award profile recognizes Vidya Nandikolla’s contributions to engineering research involving autonomous robotics, SLAM, robotic teleoperation, and BCI-enabled assistive systems. Her publications examine navigation, obstacle avoidance, brain-signal processing, machine learning, and robotic control, reflecting a research direction centered on intelligent and human-interactive robotic technologies. [3]

Keywords

Robotics; SLAM; brain-computer interface; teleoperation; machine learning; LiDAR; autonomous navigation; obstacle avoidance; robotic assistive systems; engineering innovation.

Introduction

Nandikolla’s research sits at the intersection of robotics and intelligent computational systems. Published studies investigate how sensing, localization, learning, and human control can be integrated into mobile and assistive robots. Her work on EEG-based BCI teleoperation further extends robotics toward interfaces that can translate brain activity into control commands. [5]

Research Profile

  • Engineering research focused on robotics and autonomous systems.
  • Research emphasis on SLAM, navigation, and obstacle avoidance.
  • Integration of BCI, machine learning, and robotic teleoperation.

Research Contributions

Key contributions include evaluation of Extended Kalman Filter odometry for 2D LiDAR SLAM, omnidirectional mobile-robot obstacle avoidance, EEG-based robotic arm teleoperation, and semi-autonomous assistive robotics using SLAM. Additional work has examined machine-learning approaches for harvesting brain signals. [3] [4] [5] [6] [7]

Publications

The publication record includes peer-reviewed studies in robotics, SLAM, BCI, and engineering diagnostics. A 2026 Sensors article evaluates Extended Kalman Filter odometry in 2D LiDAR SLAM, while earlier publications address obstacle avoidance, BCI teleoperation, assistive mobile robotics, and machine-learning methods for brain signals. [3] [7]

Research Impact

The supplied research profile records 25 documents, 136 citations, and an h-index of 5. These indicators provide quantitative context for the research record, while the publication topics demonstrate sustained engagement with robotics and intelligent engineering systems. Citation metrics should be interpreted alongside publication quality, research relevance, and scholarly contribution. [1]

Award Suitability

The profile is relevant to the Innovative Research Award because it presents a coherent body of engineering research addressing autonomous navigation, robotic intelligence, human–machine interfaces, and assistive technologies. The combination of experimental robotics and computational methods provides an appropriate scholarly basis for consideration within the Global Innovation Technologist Awards. [3] [5]

Conclusion

Vidya Nandikolla’s research profile reflects a multidisciplinary engineering program connecting robotics, SLAM, machine learning, BCI, and teleoperation. The documented publication record and citation indicators provide evidence of scholarly activity, while the thematic consistency of the work supports its relevance to an innovation-focused academic recognition program.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  2. Merrick, C., & Nandikolla, V. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Sensors.
    https://doi.org/10.3390/s26175468
  3. Nandikolla, V., & Ghoslin, B. (2023). Obstacle Avoidance for Omnidirectional Mobile Robot Using SLAM. ASME Journal of Engineering and Science in Medical Diagnostics and Therap.
    https://doi.org/10.1115/1.4055689
  4. Nandikolla, V., & Medina Portilla, D. A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics, 2022.
    https://doi.org/10.1155/2022/5335523
  5. Matsuno, K., Nandikolla, V., Ghoslin, B., & Medina Portilla, D. A. (2022). A brain-computer interface for teleoperation of a semi-autonomous mobile robotic assistive system using SLAM. Journal of Robotics.
    https://doi.org/10.1155/2021/6178917
  6. Matsuno, K., & Nandikolla, V. (2022). Harvesting brain signals using machine learning methods. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.
    https://doi.org/10.1115/1.4053064

Koteswara Rao Yerra | Engineering | Best Research Article Award

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Best Research Article Award

Koteswara Rao Yerra
Texas A&M University, United States

Koteswara Rao Yerra
Affiliation Texas A&M University
Country United States
Scopus ID 7201581139
Documents 90
Citations 4,645
h-index 41
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-6063-904X

Koteswara Rao Yerra is a researcher associated with Texas A&M University whose scholarly record spans engineering and interdisciplinary research areas. The profile presented for the Best Research Article Award considers publication activity, citation performance, research continuity, and recent article-level contributions. The available publication record includes work addressing antimicrobial photodynamic therapy, microbial infection mechanisms, oxidative stress, and bioactive compounds, illustrating engagement with research questions that connect engineering-oriented methods with biomedical and molecular applications.[1]

Abstract

This article summarizes the academic profile and recent publication contributions of Koteswara Rao Yerra in relation to the Best Research Article Award. Particular attention is given to recent studies concerning antimicrobial photodynamic therapy against Klebsiella pneumoniae, the enhancement of antibiotic activity, inflammatory mechanisms in Neisseria gonorrhoeae-infected macrophages, and investigations involving bioactive compounds. These publications demonstrate a continuing interest in scientifically defined therapeutic and mechanistic research problems.[2][3]

Keywords

Antimicrobial photodynamic therapy; Klebsiella pneumoniae; photosensitizers; antibiotics; NLRP3 inflammasome; oxidative stress; bioactive compounds; engineering research.

Introduction

Research article recognition commonly evaluates the quality, relevance, originality, and documented scholarly influence of published work. Within this context, Yerra’s recent publications address antimicrobial resistance and infection-related biological processes through experimental approaches involving light-activated therapeutic strategies and combined treatment modalities. Such topics remain relevant to interdisciplinary research because they connect technological intervention with microbiological and pharmacological investigation.[2]

Research Profile

The available Scopus profile identifies 90 documents, 4,645 citations, and an h-index of 41. These indicators provide a quantitative overview of publication output and citation visibility, while the ORCID record supports persistent researcher identification across scholarly information systems.[1]

Research Contributions

A recent contribution examines dual-photosensitizer antimicrobial photodynamic therapy and its combination with antibiotics against Klebsiella pneumoniae. Related work investigates methylene blue and Photodithazine as combined photosensitizers and evaluates approaches intended to enhance antibiotic effects through photodynamic treatment.[2][3][4]

Publications

  • Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics, Pharmaceutics (2026).
  • Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response, Journal of Traditional and Complementary Medicine (2026).
  • The Combined Photosensitizers in Antimicrobial Photodynamic Therapy, International Journal of Molecular Sciences (2025).
  • Enhancing Antibiotic Effect by Photodynamic, Antibiotics (2025).

Research Impact

Citation indicators suggest sustained visibility across the documented publication record. An h-index of 41, together with 4,645 citations, provides evidence of repeated citation to a substantial portion of the researcher’s indexed work. These metrics are descriptive indicators and should be interpreted alongside publication quality, disciplinary context, collaboration patterns, and the specific contribution of individual articles.[1]

Award Suitability

The profile is suitable for consideration under the Best Research Article Award category because it combines an established indexed publication record with recent article contributions addressing defined scientific problems. The antimicrobial photodynamic therapy studies provide a focused example of research examining alternative or complementary approaches to bacterial treatment, while related mechanistic work broadens the documented scope of investigation.[2][5]

Conclusion

Koteswara Rao Yerra’s documented academic profile reflects a combination of publication productivity, citation impact, and recent research activity. The selected articles demonstrate continued engagement with antimicrobial treatment strategies, inflammatory response mechanisms, and bioactive compounds. Taken together, these elements provide a structured basis for academic recognition within the Global Innovation Technologist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Koteswara Rao Yerra, Author ID 7201581139. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7201581139
  2. Yerra, K. R., et al. (2026). Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics: A New Investigation Modality Against Klebsiella pneumoniae.
    https://doi.org/10.3390/pharmaceutics18050587
  3. Yerra, K. R., et al. (2025). The Combined Photosensitizers in Antimicrobial Photodynamic Therapy: The Case of Methylene Blue and Photodithazine Against Klebsiella pneumoniae. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms262010211
  4. Yerra, K. R., et al. (2025). Enhancing Antibiotic Effect by Photodynamic: The Case of Klebsiella pneumoniae. Antibiotics.
    https://doi.org/10.3390/antibiotics14080766
  5. Yerra, K. R., et al. (2026). Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response by reducing oxidative stress in Neisseria gonorrhoeae-infected macrophages. Journal of Traditional and Complementary Medicine.
    https://doi.org/10.1016/J.JTCME.2025.06.003

Merve Öztekin | Engineering | Innovative Research Award

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Innovative Research Award

Merve Öztekin
Karadeniz Technical University, Turkey
Merve Öztekin
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 57848993700
Documents 2
Citations 3
h-index 1
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0009-0007-0470-6229

The Innovative Research Award recognizes researchers whose scholarly activities contribute to technological advancement through high-quality engineering research and measurable scientific outputs. Merve Öztekin of Karadeniz Technical University has developed research focused on transformer differential protection, electrical machines, intelligent control systems, and electric vehicle drive technologies. Recent publications demonstrate continued engagement with modern power engineering challenges while emphasizing analytical methods and practical applications in electrical power systems.[1]

Abstract

Merve Öztekin’s research addresses transformer protection algorithms, wavelet-transform applications, nonlinear motor control, and energy-efficient electric vehicle drive systems. The published work combines theoretical modelling with engineering implementation, contributing to the reliability and efficiency of electrical power equipment. The research portfolio reflects interdisciplinary integration between protection engineering, control theory, and intelligent electrical systems.[2]

Keywords

Transformer Differential Protection, Wavelet Transform, Electric Vehicles, Interior Permanent Magnet Synchronous Motor, Engineering, Power Systems, Electrical Protection, Intelligent Control.

Introduction

Modern electrical engineering increasingly requires dependable protection techniques and efficient motor control strategies to improve system stability and sustainability. Research undertaken by Merve Öztekin contributes to these objectives through investigations into transformer fault detection and optimized electrical drive technologies. Publications appearing in international journals and conference proceedings demonstrate ongoing participation in engineering research.[3]

Research Profile

According to the supplied research profile, the author has published studies involving transformer differential protection algorithms, electric vehicle drive optimization, nonlinear control methods, and power electronics. The available bibliometric indicators include a Scopus Author ID of 57848993700 with documented scholarly output, citations, and an h-index reflecting the current stage of academic development.[1]

Research Contributions

  • Development of low-level inter-turn fault detection algorithms for transformer differential protection.
  • Application of wavelet transform techniques for reliable transformer protection.
  • Research on nonlinear optimal control for interior permanent magnet synchronous motors.
  • Studies supporting energy-efficient electric vehicle drive systems.

Publications

  • Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection (Applied Sciences, 2026).
  • Transformer Differential Protection with Wavelet Transform and Difference Function (Engineering Science and Technology, 2025).
  • Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles (SPEEDAM, 2022).
  • Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives (ECC, 2022).
  • Wavelet Transform Based Differential Protection Algorithm for Power Transformer (ELECO, 2016).

Research Impact

The available publication record illustrates sustained interest in power system protection and electric drive optimization. Citation metrics indicate emerging scholarly recognition, while recent journal publications suggest continued research productivity. The work contributes to engineering literature by addressing practical reliability and efficiency challenges in electrical infrastructure.[4]

Award Suitability

Based on the documented publications, engineering specialization, and recent peer-reviewed contributions, Merve Öztekin demonstrates characteristics consistent with consideration for the Global Innovation Technologist Awards. The research portfolio emphasizes innovation in electrical engineering through analytical modelling, transformer protection, and sustainable transportation technologies while maintaining publication activity in recognized scientific venues.[5]

Conclusion

The academic profile presented here reflects an engineering researcher contributing to electrical power systems, intelligent protection methods, and advanced motor control. Through conference papers and peer-reviewed journal articles, the research demonstrates progressive development and continuing engagement with contemporary engineering challenges. The documented achievements provide an appropriate scholarly basis for recognition within an international innovation-focused award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Merve Öztekin, Author ID 57848993700.
    https://www.scopus.com/authid/detail.uri?authorId=57848993700
  2. Öztekin, M. (2026). Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection.
    https://doi.org/10.3390/app16147073
  3. Öztekin, M. (2025). Transformer Differential Protection with Wavelet Transform and Difference Function.
    https://doi.org/10.1016/j.jestch.2025.102144
  4. IEEE. (2022). Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles.
    https://doi.org/10.1109/SPEEDAM53979.2022.9842114
  5. European Control Conference. (2022). Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives.
    https://doi.org/10.23919/ECC55457.2022.9838314

Shyamal Acharya | Engineering | Research Excellence Award

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Mr. Shyamal Acharya | Engineering | Research Excellence Award

Assistant Professor | Chittagong University of Engineering & Technology (CUET) | Bangladesh

Mr. Shyamal Acharya is an accomplished researcher and academic in Civil Engineering with a strong specialization in Water Resources Engineering, combining teaching excellence with applied research and consultancy experience. His scholarly work focuses on sustainable water management, hydrologic alteration, reservoir sedimentation, flood risk assessment, and performance evaluation of urban water supply systems, with particular relevance to the socio-economic and environmental context of Bangladesh. He has contributed peer-reviewed research published by internationally recognized publishers, addressing critical issues such as the impacts of hydraulic infrastructure on river systems and efficiency assessment of public water utilities. His research methodology integrates remote sensing, hydrological modeling, risk assessment frameworks, and institutional performance indicators to support evidence-based policy and engineering decisions. Alongside academic research, he has extensive professional experience in high-impact consultancy projects, including feasibility studies and structural design of port infrastructure, tourism development initiatives, dam stability assessments, and industrial water-related engineering solutions. His involvement in reservoir irrigation feasibility and flood mitigation studies reflects a strong commitment to climate resilience, food security, and sustainable infrastructure development. As an educator and mentor, he actively contributes to capacity building in water resources engineering and civil engineering practice. He is a Life Fellow of a national professional engineering body and maintains strong links with professional and development institutions, enabling effective knowledge transfer between academia, industry, and policy stakeholders. His profile demonstrates sustained contributions to research excellence, practical engineering impact, and national development priorities in water and environmental engineering.

Profile: Scopus

Featured Publications

Acharya, S. (2025). Performance assessment of a public water supply provider in Bangladesh. Urban Water Journal.

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

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Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Ashish Ranjan Dash | Engineering | Best Researcher Award

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Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.

Veronica Ngunzi | Engineering | Best Researcher Award

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Ms. Veronica Ngunzi | Engineering | Best Researcher Award

Tutorial Fellow at Kenyatta University, Kenya

Veronica Kavila Ngunzi is an experienced professional and educator with over a decade of expertise in renewable energy systems, energy efficiency, and program management. She has an in-depth understanding of Kenya’s power sector, including energy planning, socio-economic data analysis, and the role of development finance in advancing clean energy access. Her work focuses on sustainable energy solutions for critical sectors such as healthcare and agriculture, integrating technical expertise with community empowerment initiatives. She is skilled in energy auditing, hybrid systems design, and capacity-building programs, making significant contributions to the transition to clean energy in Kenya and beyond.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Renewable Energy Technology (Ongoing) – Kenyatta University, Nairobi, Kenya (2021 – Present)
  • Ph.D. in Agricultural Processing Engineering (Ongoing) – Jomo Kenyatta University of Agriculture and Technology (2020 – Present)
  • M.Sc. in Energy Management – University of Nairobi (2015)
  • B.Sc. in Agricultural Engineering (Double Degree, Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2018)
  • Postgraduate Diploma in Project Management (Upper Credit) – Kenya Institute of Management (2012)
  • B.Sc. in Biomechanical and Processing Engineering (Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2009)

Professional Experience 💼

Academic Roles

  • Tutorial Fellow, Kenyatta University, Department of Energy Technology (2020–Present)
    • Teaching and supervising courses in Energy Management, Thermodynamics, and Project Management.
    • Leading research on renewable energy solutions for healthcare and community-focused applications.
    • Guiding students on projects related to Kenya’s energy sector.

Research & Consulting

  • Research Assistant, Free Appropriate Sustainability Technology (FAST) Research Group, Western University Canada (2023–2024)

    • Conducted research on hybrid renewable energy systems for industrial applications.
    • Collaborated with global teams to develop scalable, sustainable clean energy solutions.

  • Energy Consultant (Freelance) – Kenya (2015–2023)

    • Conducted energy audits for industrial and agricultural facilities.
    • Designed hybrid renewable energy systems for critical sectors.
    • Engaged stakeholders to align energy solutions with national planning goals.

Leadership & Advisory Roles

  • Mentor, Women in Energy Empowerment, Accelerating Women’s Empowerment in Energy Program (2024 – Ongoing)

    • Mentoring women in STEM and renewable energy careers.
    • Conducting workshops to promote gender equity in the energy sector.

  • Technical Advisor & Project Team Leader, Milken-Motsepe Prize in Green Energy (2023)

    • Led the implementation of a hybrid solar PV and wind energy system with battery storage.
    • Achieved semifinalist recognition for innovative clean energy solutions.

  • Project Lead, Strathmore Energy Research Centre (SERC) & GIZ (2015–2017)

    • Led a bioenergy analysis project for 30 tea factories, identifying energy-saving opportunities.

  • Trainer, Ministry of Energy Kenya & UNDP (2017)

    • Developed and implemented a solar water heating training manual for Kenyan industries.

  • Researcher, Ministry of Higher Education Science & Technology (2012–2016)

    • Conducted research on biogas resource assessment and purification for household applications.

Research Interests 🔬

  • Renewable energy systems (solar PV, biogas, hybrid systems)
  • Energy efficiency and sector planning
  • Sustainable energy solutions for healthcare and agriculture
  • Socio-economic impacts of clean energy adoption
  • Gender and community empowerment in energy access

Awards and Honors🏆✨

  • Semifinalist, Milken-Motsepe Prize in Green Energy (2023)
  • UNESCO Mentorship Recognition, Accelerating Women’s Empowerment in Energy (2024)
  • Research Grant Recipient, Free Appropriate Sustainability Technology (FAST) Research Group

Conclusion🌟

Veronica Kavila Ngunzi is a dedicated researcher, educator, and renewable energy specialist committed to advancing sustainable energy solutions in Kenya and beyond. With expertise spanning energy policy, hybrid systems, and socio-economic data analysis, she has played a pivotal role in shaping inclusive and impactful energy transitions. Through research, mentorship, and technical innovation, she continues to drive progress in clean energy accessibility and gender equity in the sector.

Publications 📚

📄 Optimization of economics of biomass fuel mix for boilers in tea processing through response surface methodology
📚 Heliyon (2024-12) | 🏛️ Journal article
🔗 DOI: 10.1016/j.heliyon.2024.e40875
✍️ Contributors: Veronica K. Ngunzi, Christopher L. Kanali, Gareth M. Kituu, Erick K. Ronoh

📄 Modeling, simulation and performance evaluation of a PVT system for the Kenyan manufacturing sector
📚 Heliyon (2023-08) | 🏛️ Journal article
🔗 DOI: 10.1016/j.heliyon.2023.e18823
✍️ Contributors: Veronica Ngunzi, Francis Njoka, Robert Kinyua

📄 Analysis of Energy Cost Savings by Substituting Heavy Fuel Oil with Alternative Fuel for a Pozzolana Dryer: Case Study of Bamburi Cement
📚 American Journal of Energy Engineering (2015) | 🏛️ Journal article
🔗 DOI: 10.11648/j.ajee.20150306.13
📖 ISSN: 2329-1648

Manas Ranjan Sethi | ECE | Best Researcher Award

Published on by Innovation Technologist

Mr. Manas Ranjan Sethi | ECE | Best Researcher Award

Research Scholar at NIT Silchar, India

Manas Ranjan Sethi is a dedicated academic professional currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar, with a strong focus on machine learning applications in fault diagnosis and energy systems. He holds an M.Tech in Electronics & Telecommunication from BPUT, Odisha and has over 12 years of teaching experience, having worked as an Assistant Professor at Gandhi Institute for Technology (GIFT) and as a Lecturer at Koustuv Institute of Self Domain, Bhubaneswar. His research interests include machine learning, signal processing, and sustainable energy systems, particularly in wind turbine diagnostics and emotion recognition using EEG signals. Manas has contributed to numerous journals, conferences, and book chapters, and he has earned distinctions such as qualifying CBSE-UGC NET and GATE. He is also skilled in technical tools, enjoys singing, and has a passion for reading.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Manas Ranjan Sethi is currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar (since March 2020). He holds an M.Tech in Electronics & Telecommunication (Specialization in Communication Engineering) from BPUT, Odisha (2012), with a CGPA of 8.20. He completed his B.E. in Electronics & Telecommunication from BPUT, Odisha, in 2006, securing a 62.19%. Additionally, he completed his +2 Science and Matriculation from MP Board, Madhya Pradesh.

💼 Professional Experience :

Manas has a rich academic career spanning over 12 years. He served as an Assistant Professor in the Electronics & Communication Engineering Department at Gandhi Institute for Technology (GIFT), Bhubaneswar, from November 2013 to March 2020. Prior to that, he worked as a Lecturer in the Electronics & Telecommunication Engineering Department at Koustuv Institute of Self Domain, Bhubaneswar, from July 2007 to November 2013. He has a strong foundation in teaching and mentoring students in the field of Electronics and Communication Engineering.

📚 Research Interests : 

Manas’s research interests lie in the domains of Machine Learning, Signal Processing, and Fault Diagnosis. His work focuses on vibration signal-based diagnostics and energy extraction using wind turbines. He is passionate about leveraging machine learning techniques for predictive maintenance and condition monitoring. His recent research includes the application of meta-classifiers for diagnosing wind turbine blade faults and exploring emotion recognition through EEG signals.

🏆Achievements & Certifications :

Manas has earned several academic distinctions, including qualifying the CBSE-UGC NET (Electronic Science) in July 2018, and securing GATE scores of 260 (2016) and 218 (2011) in Electronics and Communication. He has also attended and contributed to various seminars, workshops, and short-term courses in fields such as VLSI Design, Microwave Filters, and Adaptive Signal Processing.

📝 Publication Top Notes :

  • Sethi, M. R., Subba, A. B., Faisal, M., Sahoo, S., & Koteswara Raju, D. (2024). Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal. Engineering Applications of Artificial Intelligence, 138, 109372.
  • Sethi, M. R., Sahoo, S., Dhanraj, J. A., & Sugumaran, V. (2023). Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach. Smart and Sustainable Manufacturing Systems, 7(1), 14–40.
  • Chatterjee, S., Sethi, M. R., & Asad, M. W. A. (2016). Production phase and ultimate pit limit design under commodity price uncertainty. European Journal of Operational Research, 248(2), 658–667.
  • Sethi, M. R., Parhi, S. S., Sahoo, S., Sugumaran, V., & Mohanty, S. R. (2023). Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study. Proceedings of the 2023 IEEE Region 10 Symposium, TENSYMP 2023.
  • Kar, P., Hazarika, J., & Sethi, M. R. (2023). A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG. Proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023.
  • Banala, H. S., Sahoo, S., Sethi, M. R., & Sharma, A. K. (2023). Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques. In R. Doriya, B. Soni, A. Shukla, & X. Z. Gao (Eds.), Machine Learning, Image Processing, Network Security and Data Sciences (Lecture Notes in Electrical Engineering, Vol. 946), 401–411. Springer, Singapore.
  • Sethi, M. R., Sahoo, S., Kanoongo, S., & Hemasudheer, B. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier. Proceedings of the 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET 2022), 1–6. doi: 10.1109/ICEFEET51821.2022.9848401.
  • Sethi, M. R., Hemasudheer, B., Sahoo, S., & Kanoongo, S. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers. Proceedings of the 2022 4th International Conference on Energy, Power, and Environment (ICEPE 2022), 1–5. doi: 10.1109/ICEPE55035.2022.9798026.