Anish Kumar | Engineering and Technology | Best Researcher Award

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Best Researcher Award

Anish Kumar
Affiliation Indian Institute of Space Science and Technology
Country India
Google Scholar ID pTlXYn4AAAAJ
Documents 5
Citations 3
h-index 1
Subject Area Engineering and Technology
Event International Research Hypothesis Excellence Award
ORCID 0000-0002-2370-8437

Anish Kumar
Indian Institute of Space Science and Technology, India

Anish Kumar is an engineering researcher affiliated with the Indian Institute of Space Science and Technology, India. His published work primarily investigates the dynamic behavior, vibration characteristics, and stability of thin-walled circular cylindrical shells subjected to static and periodic radial loading. His research combines theoretical mechanics, structural dynamics, and vibration analysis to improve the understanding of shell stability under complex loading conditions. The publications associated with his Scopus profile demonstrate a consistent focus on mechanical engineering problems involving nonlinear oscillations, shell mechanics, and structural instability, contributing to advances in engineering analysis and computational modelling.[1]

Abstract

The available scholarly record highlights Anish Kumar’s contributions to engineering research focused on shell mechanics, vibration, and structural stability. His work examines instability mechanisms under radial loading, resonance phenomena, and natural frequency variations in cylindrical shell structures. Published in established mechanical engineering journals, these studies provide analytical and computational insights that support the design and assessment of lightweight engineering structures subjected to complex dynamic environments.[2]

Keywords

Thin-walled shells, Structural dynamics, Radial loading, Shell stability, Mechanical vibrations, Cylindrical shells, Engineering mechanics, Parametric excitation.

Introduction

Research on thin-walled cylindrical shells remains important in aerospace, mechanical, and structural engineering because these components frequently experience dynamic loading. Understanding their vibration response and stability characteristics enables safer and more efficient engineering designs. The publications associated with Anish Kumar contribute to this field by examining instability, resonance, and frequency behavior through mathematical and engineering analyses.[3]

Research Profile

According to the Scopus author profile, the researcher has published five indexed documents with three citations and an h-index of one. The research portfolio demonstrates continued engagement with engineering mechanics and vibration analysis while emphasizing theoretical modelling supported by peer-reviewed journal publications.

Research Contributions

  • Investigated shell stability under static and periodic radial loading.
  • Studied resonance in parametrically forced bi-linear oscillators.
  • Analyzed natural frequency variations in cylindrical shell structures.
  • Contributed analytical methods relevant to engineering vibration research.

Publications

  • On the stability of thin-walled circular cylindrical shells under static and periodic radial loading (2022).
  • Analysis of transition regions in the parametrically forced system of bi-linear oscillators (2021).
  • Effect of radial loads on the natural frequencies of thin-walled circular cylindrical shells (2017).
  • Instabilities of thin circular cylindrical shells under radial loading (2015).

Research Impact

The published studies contribute to the understanding of vibration behavior and structural stability in shell mechanics. Their findings may support future investigations involving aerospace structures, mechanical components, and computational engineering models while expanding theoretical knowledge in engineering dynamics.[4]

Award Suitability

Based on the available publication record, peer-reviewed journal articles, engineering specialization, and documented Scopus profile, the researcher demonstrates academic activity within mechanical engineering. These scholarly achievements align with the evaluation criteria commonly considered for the International Research Hypothesis Excellence Award, subject to the event’s independent review process.

Conclusion

Anish Kumar’s research portfolio reflects continued work in shell mechanics and structural vibration. Through publications addressing radial loading, resonance, and shell stability, the researcher contributes to engineering knowledge relevant to modern structural analysis and mechanical design.

References

  1. Elsevier. Scopus Author Details: Anish Kumar, Author ID 59412000700.
    https://www.scopus.com/authid/detail.uri?authorId=59412000700
  2. Journal of Sound and Vibration. On the stability of thin-walled circular cylindrical shells under static and periodic radial loading (2022).
    https://doi.org/10.1016/j.jsv.2022.116872
  3. Journal of Sound and Vibration. Analysis of transition regions in the parametrically forced system of bi-linear oscillators (2021).
    https://doi.org/10.1016/j.jsv.2021.116435
  4. International Journal of Mechanical Sciences. Effect of radial loads on the natural frequencies of thin-walled circular cylindrical shells (2017).
    https://doi.org/10.1016/j.ijmecsci.2016.12.024
  5. International Journal of Mechanical Sciences. Instabilities of thin circular cylindrical shells under radial loading (2015).
    https://doi.org/10.1016/j.ijmecsci.2015.10.003

Büşra ÇELİK | Engineering and Technology | Best Academic Researcher Award

Published on by Research Hypothesis

Best Academic Researcher Award

Büşra ÇELİK
Gaziantep University, Turkey

Büşra ÇELİK
Affiliation Gaziantep University
Country Turkey
Scopus ID 60111536300
Documents 5
Citations 7
h-index 1
Subject Area Engineering and Technology
Event International Research Hypothesis Excellence Award
Google Scholar ID IYn1jycAAAAJ

Büşra ÇELİK is an engineering researcher affiliated with Gaziantep University whose scholarly work focuses on permanent magnet synchronous motors (PMSMs), fault-tolerant control, field-oriented control, finite element modelling, and advanced manufacturing technologies. Her publications demonstrate continuing contributions to electrical engineering, motor control systems, and materials engineering through analytical modelling, simulation, and experimental investigations. The available publication record reflects an emerging research profile supported by peer-reviewed journal articles and international conference papers.[1]

Abstract

This article summarizes the academic profile of Büşra ÇELİK based on publicly available scholarly information. Her research primarily investigates electric motor control, demagnetization fault diagnosis, finite element analysis, co-simulation methodologies, and friction spot welding. The body of work combines theoretical analysis with computational modelling and engineering applications, reflecting interdisciplinary engagement across electrical and mechanical engineering. Current citation metrics indicate a developing research portfolio that continues to expand through journal publications and international conference participation.[2]

Keywords

  • Permanent Magnet Synchronous Motor
  • Fault-Tolerant Control
  • Finite Element Analysis
  • Field Oriented Control
  • Engineering and Technology

Introduction

Research involving intelligent motor control and advanced simulation techniques has become increasingly significant in modern engineering. Büşra ÇELİK’s publications address reliability improvements for PMSMs through demagnetization analysis, fault diagnosis, and optimized control strategies. These studies contribute to the broader objective of enhancing efficiency, operational safety, and predictive maintenance within industrial drive systems.[3]

Research Profile

According to the available Scopus profile, the researcher has authored five indexed publications with seven citations and an h-index of one. Research interests include electric machine modelling, reinforcement learning applications in motor control, numerical simulation, finite element methods, and materials characterization. The profile also includes participation in international engineering conferences presenting recent developments in co-simulation and PMSM analysis.[1]

Research Contributions

  • Review of fault-tolerant control approaches for PMSMs with demagnetization faults.
  • Microstructural evaluation of friction spot welded AA7075 materials.
  • Comparison of conventional PI controllers and reinforcement learning methods for vector control.
  • Development of co-simulation models for outer rotor PMSMs using field-oriented control.

Publications

  • A Review of Fault-Tolerant Control Methods for Permanent Magnet Synchronous Motors with Demagnetization Fault (2025).
  • Microstructural and Numerical Variation of Friction Spot Welded AA7075 Couples (2023).
  • SMSM Vektör Kontrolünde Akım Kontrolü…
  • Field Oriented Control of Outer Rotor PMSM Using Co-Simulation (2026).
  • FEM-Based Modeling and Analysis of Demagnetization in an Outer-Rotor PMSM (2026).

Research Impact

The research portfolio demonstrates continuing engagement with engineering innovation through publications addressing industrial motor systems, simulation methodologies, and manufacturing technologies. Citation activity indicates early scholarly recognition, while conference participation reflects ongoing dissemination of research findings to the international engineering community.[4]

Award Suitability

Based on the documented publication record, interdisciplinary engineering focus, and contributions to motor control and simulation research, Büşra ÇELİK demonstrates characteristics aligned with consideration for the International Research Hypothesis Excellence Award. Evaluation should additionally consider research quality, originality, publication influence, and future scholarly development using established academic assessment criteria.[5]

Conclusion

Büşra ÇELİK has established a focused academic profile within engineering and technology through studies involving electric machines, intelligent control systems, finite element modelling, and manufacturing processes. Continued publication activity and collaboration are expected to further strengthen the visibility and impact of her research in the coming years.

References

  1. Elsevier. (n.d.). Scopus author details: Büşra ÇELİK, Author ID 60111536300.
    https://www.scopus.com/authid/detail.uri?authorId=60111536300
  2. Çelik, B., & Kara, T. (2025). A Review of Fault-Tolerant Control Methods for Permanent Magnet Synchronous Motors with Demagnetization Fault.
    https://doi.org/10.1007/s40435-025-01761-2
  3. Materials Testing. (2023). Microstructural and Numerical Variation of Friction Spot Welded AA7075 Couples.
  4. International Congress on Human-Computer Interaction, Optimization and Robotic Applications (2026). Conference Proceedings.
  5. International Research Hypothesis Excellence Award.
    researchhypothesis.com

Jonghun Lim | Engineering and Technology | Research Excellence Award

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Dr. Jonghun Lim | Engineering and Technology | Research Excellence Award

Institute for Advanced Engineering | South Korea

Dr. Jonghun Lim is a researcher in advanced chemical and energy systems, specializing in sustainable process design and optimization. His work focuses on hydrogen production and integrated energy systems, waste-to-resource technologies, and carbon capture and utilization (CO₂, SOx, NOx). He applies artificial intelligence, including machine learning and optimization algorithms, to enhance process efficiency and environmental performance. His research integrates techno-economic assessment (TEA), life-cycle assessment (LCA), and sensitivity analysis to support scalable and economically viable solutions. Dr. Lim has contributed significantly to carbon-neutral process innovation, particularly in hydrogen infrastructure, waste valorization, and environmentally sustainable chemical engineering systems.

                         Citation Metrics (Scopus)

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800

600

400

200

0

Citations
942

Documents
56

h-index
19

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Goknur Berber Narin | Engineering and Technology | Best Researcher Award

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Assist. Prof. Dr Goknur Berber Narin | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Goknur Berber Narin | Engineering and Technology | Best Researcher Award | Assistant Professor | Agrı Ibrahim Cecen University | Turkey 

Assist. Prof. Dr. Goknur Berber Narin is a Turkish civil engineer whose academic journey began with a Bachelor’s degree in Civil Engineering from Süleyman Demirel University, followed by a Master’s (thesis on logistics-hub site selection) and a Ph.D. (dissertation on modeling highway traffic noise) at Karadeniz Technical University. Professionally, she serves as Assistant Professor at Doğubayazıt Ahmedi Hani Vocational School, Ağrı İbrahim Çeçen University, where she teaches, supervises, and leads research projects. Her research interests center on transportation engineering, environmental noise modeling, logistics decision systems, and pavement performance, with a particular emphasis on how meteorological conditions, vehicle composition, and infrastructure types influence road noise and logistics hub siting. She is skilled in multi-criteria decision-making methods (AHP and Delphi), noise measurement and modeling, concrete durability assessment, and statistical and computational modeling. She has participated in several national research projects: for instance, she leads a TÜBİTAK-funded study on modeling road traffic noise under varying topography and meteorological conditions, and is a researcher on projects analyzing polypropylene fiber in concrete joints and ultrasonic testing of road concrete layers. Her work has been published in international refereed journals and presented at international conferences, demonstrating her active engagement in both theory and practice. Among her honors are the 2021 YTMK Master’s Thesis Award from the Turkish National Roads Committee and the EMAY Incentive Award from EMAY International Engineering & Consultancy, reflecting recognition for her academic excellence. She has also obtained multiple professional certifications, including training in traffic safety, geospatial data (GIS), environmental vibration measurement, damage detection in buildings, and advanced material testing, underscoring her commitment to both teaching and applied research. In conclusion, Assist. Prof. Dr. Goknur Berber Narin is a dedicated scholar whose rich educational background, project leadership, publication record, and cross-disciplinary skills make her a rising influence in sustainable infrastructure research and civil engineering education.

Profile: ORCID 

Featured Publications

  1. Berber, G., & Akpınar, M. V. (2024). Tırların Hıza Bağlı Olarak Oluşturduğu Çevresel Gürültünün İncelenmesi. International Journal of Advanced Natural Sciences and Engineering Researches.

  2. Berber, G., & Akpınar, M. V. (2024). Lojistik Merkez Yer Seçiminde Kullanılan AHP ve Delphi Yöntemlerinin Karşılaştırılması. International Journal of Advanced Natural Sciences and Engineering Researches.

  3. Kadıoğlu, T., Akpınar, M. V., & Berber, G. (2023). Asfalt ve Beton Kaplamaların Dayanım-Zaman Performansının İncelenmesi. Proceedings of the 2nd International Conference on Innovative Academic Studies.

  4. Berber, G., & Akpınar, M. V. (2024). Tırların Hıza Bağlı Olarak Oluşturduğu Çevresel Gürültünün İncelenmesi. 5th International Conference on Innovative Academic Studies.

  5. Berber, G., & Akpınar, M. V. (2024). Lojistik Merkez Yer Seçiminde Kullanılan AHP ve Delphi Yöntemlerinin Karşılaştırılması. 5th International Conference on Innovative Academic Studies.

  6. Kadıoğlu, T., Akpınar, M. V., & Berber, G. (2023). Investigation of the Performance of Polypropylene (PP) Fibers in Joints of Concrete Pavements. 3rd International Civil Engineering & Architecture Conference.

  7. Berber, G., Akpınar, M. V., & Kadıoğlu, T. (2023). Investigation of UK Noise Maps in the Highway Lgag Noise Parameter. 3rd International Civil Engineering & Architecture Conference.

 

Lin Hua | Engineering and Technology | Excellence in Innovation Award

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Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Excellence in Innovation Award

Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Deputy Director | School of Naval Architecture | China 

Assoc. Prof. Dr. Lin Hua is a distinguished scholar in the field of marine engineering and structural integrity research. Her work focuses on understanding and predicting the fatigue life of marine structures under corrosive environments. With a strong academic foundation and a commitment to advancing engineering safety, she has become a recognized name for her contributions to pitting corrosion analysis and continuum damage mechanics modeling. Her research aims to bridge the gap between theoretical modeling and industrial applications, thereby improving the design, maintenance, and operational reliability of marine structures.

Professional Profile 

Education

Assoc. Prof. Dr. Lin Hua earned her doctoral degree in structural engineering from a leading university, where she developed expertise in continuum damage mechanics, fatigue analysis, and advanced computational modeling. Her educational background is complemented by rigorous research training, participation in collaborative projects, and specialized courses in marine structural health monitoring. This academic preparation laid the foundation for her groundbreaking work in fatigue crack initiation life prediction and pit morphology quantification.

Experience

Assoc. Prof. Dr. Lin Hua currently serves as an Associate Professor and leads several research initiatives focused on marine structural reliability. She has successfully collaborated with global research institutes, shipbuilding companies, and offshore engineering organizations to develop practical methodologies that improve the safety and performance of critical structures. Her extensive teaching portfolio includes mentoring graduate students and supervising doctoral dissertations, helping nurture the next generation of researchers. In addition, she has served on technical committees, participated in peer-review processes for high-impact journals, and contributed to the organization of international symposia on marine engineering.

Research Interest

Her primary research interests include fatigue life assessment of marine structures, pitting corrosion modeling, structural health monitoring, and life extension strategies for offshore platforms. She integrates theoretical modeling with computational techniques to predict fatigue crack initiation life under complex environmental conditions. Her recent work explores pit morphology parameters—size, shape, irregularity, and spacing—and their effects on structural integrity. By developing reliable mapping models and efficient numerical approaches, she provides industry stakeholders with actionable solutions to reduce maintenance costs, improve safety, and optimize lifecycle management.

Award

Assoc. Prof. Dr. Lin Hua has been recognized for her innovative contributions through institutional and international awards in the field of structural engineering and marine research. Her achievements include excellence awards for research impact, commendations for collaborative projects, and invitations to serve as a reviewer and advisor for prestigious journals. These accolades underscore her role as a leading researcher committed to advancing knowledge and delivering real-world engineering solutions.

Selected Publication

  • “Theoretical Mapping Model for Pit Morphology Parameters and Fatigue Crack Initiation Life” (Published: 2023, Citations: 45)

  • “Continuum Damage Mechanics-Based Numerical Approach for Marine Structure Life Assessment” (Published: 2022, Citations: 39)

  • “Multi-Factor Quantification of Pit Morphology and Its Effect on Fatigue Life” (Published: 2022, Citations: 31)

  • “Rapid Fatigue Life Prediction of Offshore Structural Components under Corrosive Conditions” (Published: 2021, Citations: 28)

Conclusion

Assoc. Prof. Dr. Lin Hua stands out as a pioneering researcher whose work addresses critical challenges in marine engineering and structural health assessment. Her integration of theoretical modeling, computational techniques, and practical validation has advanced understanding of fatigue life under corrosive conditions, providing a framework for safer marine operations. With a proven record of impactful publications, international collaborations, and mentorship, she continues to shape the future of structural engineering. Her dedication to bridging academic research with industrial application makes her a highly deserving candidate for prestigious awards, and her future research promises to further strengthen global standards in marine structural integrity and safety.

 

Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

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Ms. Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

Student at OUTR, india

Anuradha Rani Choudhury is a dedicated and aspiring researcher currently pursuing her Master of Technology at OUTR, Bhubaneswar, with an impressive CGPA of 9.20. She holds a Bachelor’s degree in Technology from ITER, Bhubaneswar, and has demonstrated strong technical acumen through impactful projects in machine learning, including sentiment analysis and disease prediction models, both achieving high accuracy. With certifications in machine learning, web development, and Android development, she exhibits a strong foundation in diverse technological domains. Anuradha has actively participated in seminars and workshops, showcasing her commitment to continuous learning. Her proficiency in programming languages such as Python, Java, and C, along with web technologies, complements her research skills. Additionally, her involvement in extracurricular activities like sports, NCC, and student leadership reflects a well-rounded personality. While she is at an early stage in her research journey, Anuradha shows promising potential for future contributions to the field of technology and applied sciences.

Professional Profile 

🎓 Education of Anuradha Rani Choudhury

Anuradha Rani Choudhury has built a strong academic foundation in the field of technology and engineering. She is currently pursuing her Master of Technology (M.Tech) at Odisha University of Technology and Research (OUTR), Bhubaneswar, maintaining an excellent CGPA of 9.20 (2023–2025). She previously earned her Bachelor of Technology (B.Tech) from ITER, Bhubaneswar, graduating with a CGPA of 7.73 in 2022. Her earlier academic journey includes completing 12th grade (Science) from Stewart Science College, Cuttack under the CHSE Board, scoring 57.5%, and her 10th grade from D.A.V. Public School, Berhampur under the CBSE Board, where she achieved a commendable 83.6%. Her academic progression highlights her consistent dedication and growth in technical education.

💼 Professional Experience of Anuradha Rani Choudhury

Anuradha Rani Choudhury has gained valuable hands-on experience through academic projects and certified training programs in the fields of machine learning, data science, and software development. She successfully led a Sentiment Analysis project in 2024, where she implemented advanced models such as Naïve Bayes, Logistic Regression, SVM, and Neural Networks, achieving an outstanding . In 2023, she developed a Disease Prediction Model using patient physiological data, which delivered an impressive . Additionally, Anuradha has completed certification-based training in Machine Learning (Project Mantra), Web Development (Verzeo), and Android Development (Pixaflip Technologies). Her participation in workshops and seminars, along with her technical proficiency in languages like Python, Java, and SQL, further reflects her readiness for research and real-world problem-solving in the tech industry.

🔬 Research Interest of Anuradha Rani Choudhury

Anuradha Rani Choudhury’s research interests lie primarily in the dynamic fields of Machine Learning, Artificial Intelligence, and Data Science, with a strong inclination toward applying these technologies in healthcare and human-centered applications. She is passionate about exploring predictive modeling, sentiment analysis, and disease diagnosis systems that leverage advanced algorithms to generate actionable insights from complex data. Her academic projects reflect her enthusiasm for building intelligent systems capable of improving decision-making and automation. Anuradha is also interested in the integration of deep learning and neural networks to enhance model accuracy and efficiency. As she progresses in her academic and professional journey, she aims to contribute to impactful, real-world solutions through innovative and ethically grounded research in intelligent technologies.

🏅 Awards and Honors of Anuradha Rani Choudhury

Anuradha Rani Choudhury has been recognized for her diverse talents and active participation in both academic and extracurricular arenas. She earned the 2nd prize in poem writing at the Ganjam Kalaparishad in 2017, showcasing her creative expression and literary flair. In the same year, she also secured the 2nd prize in athletics at D.A.V. Public School, reflecting her athletic spirit and commitment to physical excellence. Additionally, she holds the prestigious NCC “A” Certificate (2013–2015), highlighting her discipline, leadership, and dedication to national service. These honors demonstrate her well-rounded personality, balancing academic rigor with artistic and physical achievements.

Conclusion

Anuradha Rani Choudhury is a promising emerging researcher with a solid academic background, project experience in machine learning, and proactive engagement in technical skill development. However, to be highly competitive for the Best Researcher Award, particularly at national or international levels, she would benefit from Publishing research papers. Involving in long-term, original research with measurable impact. Demonstrating broader research influence and leadership.

📚 Publications Top Noted

  1. Title: Real-time Face Mask Detection in Nuclear Power Plants: A Deep Learning Framework Using Hybrid CNN-MobileNetV2 Architecture
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra, S. Mohanty, S. Mishra
    Year: 2025
    Citation: 0
    Published In: Intelligent Computing Techniques and Applications, pp. 87–91

  2. Title: A Comparative Analysis of Deep Learning Techniques for Face Mask Detection System in Nuclear Power Plant
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  3. Title: Enhancing Lung Cancer Detection by Leveraging Machine Learning Algorithms
    Authors: A.R. Choudhury, S.R. Panda, A.K. Mishra, J. Routray
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  4. Title: Deep Learning Based Automated Lung Cancer Detection from CT Scan Leveraging Transfer Learning
    Authors: A.R. Choudhury, J. Rautray, P. Mishra, M. Kandpal, S.S. Dalai
    Year: 2025
    Citation: 0
    Published In: Procedia Computer Science, Volume 258, Pages 2748–2759

  5. Title: Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance Using Convolutional Neural Network and Image Processing
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: International Journal of Computer Applications 975, 8887

 

 

 

 

 

 

Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

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Dr. Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Senior Lecturer at Asia Pacific University of Technology & Innovation (APU), Malaysia

Ir. Ts. Dr. Denesh Sooriamoorthy is a dynamic early-career researcher and Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU), Malaysia. With a Ph.D. in Engineering from the University of Nottingham, his research expertise spans electric vehicle battery systems, biomedical signal processing, artificial intelligence, and robotics. Despite having only three years of post-PhD experience, Dr. Denesh has already published over 25 Scopus-indexed papers—including five in Q1 journals—authored and edited academic books, and secured research funding exceeding RM775,000. He maintains an impressive citation record (h-index of 9 on Google Scholar and 8 on Scopus) and actively supervises multiple postgraduate students. His work bridges academia and industry through innovative projects and collaborative initiatives, reflecting a commitment to impactful, interdisciplinary research.

Professional Profile 

🎓 Education of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has a strong academic foundation rooted in engineering and education. He earned his Ph.D. in Engineering from the prestigious University of Nottingham in 2022, where he focused on cutting-edge research in biomedical systems and intelligent technologies. Prior to that, he completed his Master of Engineering (MEng Hons.) in Mechatronic Engineering, graduating with First Class Honours from the same university in 2016. To further enhance his academic and pedagogical skills, he obtained a Postgraduate Certificate in Teaching and Learning from Taylor’s University Malaysia in 2022. His academic journey reflects a commitment to both technical excellence and educational innovation.

💼 Professional Experience of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has rapidly built a distinguished professional career in academia and research. He is currently serving as a Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU) since September 2023, where he contributes to teaching, research, and postgraduate supervision. Prior to this role, he was a Lecturer and Work-Based Learning (WBL) Coordinator at Taylor’s University Malaysia from January 2021 to August 2023. In these roles, Dr. Denesh played a vital part in integrating industry-driven education models and advancing applied research initiatives. His experience also includes mentoring students, managing interdisciplinary projects, and fostering academic-industry partnerships—showcasing a strong blend of leadership, innovation, and academic excellence at an early stage of his career.

🔬 Research Interests of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy’s research interests lie at the intersection of engineering intelligence, biomedical systems, and sustainable technologies. He is particularly focused on electric vehicle battery management systems, with a specialization in state of charge estimation using machine learning and neural networks. His work also delves into biomedical signal processing, notably the use of electrical impedance models for non-invasive cardiovascular diagnostics. In addition, Dr. Denesh is actively engaged in robotics, artificial intelligence, and multi-agent systems, aiming to solve real-world problems through smart automation and predictive analytics. His interdisciplinary approach integrates AI, mechatronics, and embedded systems, driving innovations in healthcare, energy storage, and intelligent transportation.

🏆 Awards and Honors of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has garnered notable recognition for his impactful contributions to research and academia. While still in the early stages of his career, he has successfully secured multiple prestigious research grants totaling over RM775,000 from renowned bodies such as CREST, MRANTI, Katapult Asia, and APU RDIG, reflecting trust in his innovative capabilities and leadership potential. His publications in high-impact Q1 journals, coupled with active roles in book authorship and editorial contributions, further underscore his academic excellence. In addition, his appointment as Work-Based Learning (WBL) Coordinator at Taylor’s University highlights institutional acknowledgment of his educational leadership. These achievements position Dr. Denesh as a promising and respected figure in the engineering and research community.

🧾 Conclusion

Ir. Ts. Dr. Denesh Sooriamoorthy is highly suitable for the Best Researcher Award (Early-Career Category). His rapid research productivity, Q1 journal contributions, funding success, and graduate supervision demonstrate excellence in research, academic leadership, and industry engagement.

📚 Publications Top Noted

  1. Title: Artificial Neural Networks, Gradient Boosting and Support Vector Machines for Electric Vehicle Battery State Estimation: A Review
    Authors: A. Manoharan, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
    Year: 2022
    Citations: 227
  2. Title: Electric Vehicle Battery Pack State of Charge Estimation Using Parallel Artificial Neural Networks
    Authors: A. Manoharan, D. Sooriamoorthy, K.M. Begam, V.R. Aparow
    Year: 2023
    Citations: 91
  3. Title: A Novel Electrical Impedance Function to Estimate Central Aortic Blood Pressure Waveforms
    Authors: D. Sooriamoorthy, S.A. Shanmugam, M.A. Juman
    Year: 2021
    Citations: 72
  4. Title: A Study on the Effect of Electrical Parameters of Zero-Dimensional Cardiovascular System on Aortic Waveform
    Authors: D. Sooriamoorthy, A.L.H. Wee, A. Shanmugam, K.J. Ghee, P.C. Ooi, M. Nafea
    Year: 2020
    Citations: 29
  5. Title: A Study on Transfer Function to Estimate the Central Aortic Blood Pressure Waveform
    Authors: B.V. Leonard, D. Sooriamoorthy
    Year: 2023
    Citations: 27
  6. Title: Performance Analysis on Artificial Neural Network Based State of Charge Estimation for Electric Vehicles
    Authors: M. Aaruththiran, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
    Year: 2021
    Citations: 26
  7. Title: Study on Artificial Neural Network Optimization for Electric Vehicle Battery State of Charge Estimation
    Authors: A. Manoharan, K.M. Begam, D. Sooriamoorthy, V.R. Aparow
    Year: 2023
    Citations: 21
  8. Title: A Homogeneous Meta-Learning LSTM-RNN Ensemble Method for Electric Vehicle Battery State of Charge Estimation
    Authors: R.H. Wong, A. Manoharan, D. Sooriamoorthy, N.B. Sarif
    Year: 2023
    Citations: 21
  9. Title: Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller
    Authors: N. Sariff, Z.H. Ismail, A.S.H.M. Yasir, D. Sooriamoorthy, P.N.A.F.S. Mahadzir
    Year: 2023
    Citations: 16
  10. Title: Balancing Accuracy and Efficiency: A Homogeneous Ensemble Approach for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles
    Authors: R.H. Wong, D. Sooriamoorthy, A. Manoharan, N. Binti Sariff, Z. Hilmi Ismail
    Year: 2024
    Citations: 3

 

Wajid Ali | Technology Management | Emerging Research Star Award

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Wajid Ali | Technology Management | Emerging Research Star Award

Lecturer at International Islamic University Islamabad Pakistan

Dr. Wajid Ali is an emerging scholar in Technology Management with an interdisciplinary background in engineering and management sciences. With a PhD in Management Sciences (Technology Management) from the International Islamic University, Islamabad (2025), Dr. Ali has made significant research contributions in the domain of Artificial Intelligence (AI) readiness, organizational performance, and innovation strategy. His scholarly work spans over seven peer-reviewed publications and systematic literature reviews, highlighting his deep commitment to bridging engineering principles with management innovation. Beyond academia, Dr. Ali’s professional journey includes hands-on industrial experience in mechanical maintenance and instructional roles in top Pakistani universities. His blend of academic prowess and technical expertise makes him a rising leader in AI-based transformation in public and private sectors. A strong advocate for interdisciplinary growth, he continues to contribute to research and teaching that advances technology-driven management solutions for emerging economies.

Publication Profile

Google Scholar

Education

Dr. Wajid Ali holds a Ph.D. in Management Sciences with a focus on Technology Management from the International Islamic University, Islamabad (2025), where he maintained a CGPA of 3.50/4.00. He earned his MS in Engineering Management from The University of Lahore in 2019 with a CGPA of 3.40/4.00 and a B.Sc. in Mechanical Engineering & Technology in 2016. Earlier, he completed a D.A.E in Mechanical Technology from the Punjab Board of Technical Education in 2012 with a commendable 75% and received a Diploma in Computer Science in 2011 with an 81% score. He also cleared the Class Three Boiler Engineer examination in 2018 and obtained his SSC (Science Group) in 2009. This solid academic foundation across engineering, management, and computing reflects Dr. Ali’s diverse capabilities and underpins his research in AI-driven technological innovation and efficiency in organizations.

Experience

Dr. Wajid Ali has over six years of professional experience blending academia and industry. He has served as a visiting lecturer at the International Islamic University Islamabad and Fatima Jinnah Women’s University Rawalpindi for two years, where he taught across Management Sciences, Engineering, and Social Sciences. His responsibilities extended to administrative duties, test supervision, seminar organization, and curriculum planning. Additionally, Dr. Ali boasts 3 years and 8 months of practical experience as a mechanical maintenance technician. His industrial tenure includes critical outage projects at renowned power plants like Kot Addu Power Company (KAPCO), Roush Power Plant, Fuji Kabir Wala Power Plant, and others. From 2016 to 2018, he was engaged in operational and maintenance roles at SKAIKHU Sugar Mills LTD. His internships at KAPCO and GENCO-3 further enriched his engineering experience. This multidisciplinary exposure shapes his innovative and grounded research in AI readiness and performance optimization.

Awards and Honors

While formal awards have not been explicitly listed in his profile, Dr. Wajid Ali’s rapid progression through academic ranks, strong publication record, and diverse professional experience are indicative of his emerging stature in the field of technology management research. He has gained recognition through publication in reputed journals such as Data Science and Management, Journal of Business and Management Research, and International Journal of Business and Management Sciences. His contribution as a co-author in collaborative research projects reflects his growing academic network and influence. His teaching roles at top institutions and involvement in cross-functional academic initiatives also highlight institutional trust in his expertise. Given his Ph.D. completion in 2025 and multiple publications during the doctoral phase, Dr. Ali is a compelling candidate for the Emerging Research Star Award, which aims to celebrate promising early-career researchers who demonstrate leadership and innovation potential.

Research Focus

Dr. Wajid Ali’s research centers on Artificial Intelligence (AI) Readiness, Technology Management, and Organizational Performance. His investigations aim to uncover how public sector and transformational organizations can strategically prepare for and leverage AI integration. Through expert surveys, literature reviews, and empirical models, he explores critical success factors influencing AI adoption, cost efficiency, and the mediating role of control systems. His work also delves into emotional intelligence, team dynamics, and their impact on project success—bridging human factors with technological transitions. Dr. Ali’s interdisciplinary approach combines engineering management tools with data-driven strategic planning. His growing body of work addresses both theoretical frameworks and practical challenges facing institutions undergoing digital transformation. As organizations worldwide increasingly adopt AI, Dr. Ali’s research offers timely, actionable insights into readiness metrics, cost control, and innovative strategies that optimize performance in both emerging and established economies.

Publication Top Notes

Laws Governed Role Of Artificial Intelligence And Machine Learning In Supply Chain Management

Factors influencing readiness for artificial intelligence: a systematic literature review

THE DETERMINANTS OF CONSUMERS’ONLINE SHOPPING BEHAVIOUR: AN EMPIRICAL ASSESSMENT

Empowering Small and Medium Enterprises Performance Through Dynamic Marketing Strategies and Innovations

The influence of emotional intelligence and team building on project success

Exploring Artificial Intelligence Readiness Framework for Public Sector Organizations: An Expert Opinion Methodology

Assessment of community perceptions on drinking water quality and its implications for human health in Islamabad, Pakistan: A comprehensive analysis

Critical Artificial Intelligence Readiness Factors in Context of Public Sector Organizations: An Expert Opinion Survey

Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

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Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

Prof. Dr Jari Kaivo-oja, University of Turku, Finland

Prof. Dr. Jari Kaivo-oja is a globally recognized expert in foresight, innovation, and sustainable development. Currently serving as Research Director at the Finland Futures Research Centre (University of Turku) and Professor at Kazimieras Simonavičius University, Lithuania, he is widely respected for his multidisciplinary research impact. With more than two decades of academic leadership, Dr. Kaivo-oja has advanced the understanding of futures studies, digital transformation, and strategic sustainability. His work bridges theory and practice, offering critical insights for public policy, industry innovation, and academic strategy. He has been involved in European Commission initiatives and has significantly influenced regional innovation systems. Known for integrating socio-economic foresight with actionable frameworks, his thought leadership guides both academic and practical change. Dr. Kaivo-oja’s scholarship is evidenced by numerous high-impact publications, awards, and global collaborations. His visionary approach makes him a fitting and distinguished nominee for the Excellence in Research Award.

Publication Profile

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Education

Dr. Kaivo-oja’s academic foundation is built on a strong interdisciplinary background. He earned his Doctorate in Administrative Sciences from the University of Tampere, focusing on policy foresight and regional development. He also holds a Licentiate of Administrative Sciences, and a Master’s degree in Regional Science and International Economics, integrating economic theory with public administration and innovation management. Additionally, he completed specialized postgraduate studies in Development Studies, expanding his competence in global socio-economic challenges and policy dynamics. His academic training equips him to analyze complex systems involving governance, technology, and sustainability. His educational journey reflects a persistent pursuit of excellence and relevance, aligning academic theory with real-world impact. These diverse academic credentials form the backbone of his comprehensive and integrative research approach, enabling him to effectively lead interdisciplinary projects and provide strategic foresight to governments, academia, and industry alike.

Experience

With over 25 years of research and academic leadership, Prof. Kaivo-oja has contributed extensively to European and international science and policy communities. As Research Director at the Finland Futures Research Centre, he leads projects on foresight, green transition, and socio-economic transformation. He also serves as a Research Professor at Kazimieras Simonavičius University, Lithuania, and Adjunct Professor at the University of Vaasa, specializing in technology foresight and digitalization. Dr. Kaivo-oja has been a policy advisor and research partner for high-level institutions including the European Commission, Nordic Innovation Centre, OECD, and Finnish Innovation Fund (Sitra). He has successfully led numerous foresight studies, policy planning efforts, and scenario-based strategies. His collaborations span academia, public administration, and industry, promoting systems thinking and knowledge transfer. His ability to connect theoretical insights with practical implementation has made him a sought-after expert in strategic foresight and innovation systems.

Awards and Honors

Prof. Dr. Kaivo-oja has received numerous recognitions that underscore his outstanding research and scholarly impact. He was honored with the Promising Young Economist Scholarship early in his career, reflecting his innovative contributions to regional science. His scholarly publications have earned prestigious accolades such as the ISPIM Best Paper Award and the Emerald Literati Network Award for Excellence, recognizing exceptional academic publishing. In 2023, he received the AIRA (Academy of International Research Awards) honor for outstanding contributions in foresight and innovation. Additionally, he has been celebrated multiple times by the University of Turku with the Active Publisher Award, acknowledging consistent high-quality research output. These accolades reflect his sustained academic excellence, thought leadership, and international reputation. Each award represents a milestone in a career marked by interdisciplinary breakthroughs and practical applications of research, reinforcing his candidacy for the Excellence in Research Award.

Research Focus

Prof. Kaivo-oja’s research agenda bridges foresight studies, innovation management, and sustainable development. His work advances the understanding of long-term socio-economic transformation by integrating digitalization, ecological economics, and strategic planning. A central focus lies in developing tools and models for anticipatory governance, policy foresight, and resilient innovation systems. He applies these methodologies across areas such as climate change adaptation, regional competitiveness, and entrepreneurial ecosystems. With a systems-theoretical approach, his studies generate practical foresight for governments, cities, and corporations navigating uncertain futures. He is also a pioneer in combining weak signal analysis, Delphi methods, and scenario planning to guide strategic decisions in volatile environments. His integrative foresight methodologies support transitions to more sustainable, inclusive, and digitally driven societies. Prof. Kaivo-oja’s contributions continue to shape both academic discourse and real-world policies, positioning him at the forefront of transformative research with global relevance.

Publication Top Notes

Wild cards, weak signals and organisational improvisation

Human factors and ergonomics in manufacturing in the industry 4.0 context–A scoping review

Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability

Evaluating synergies and trade-offs among Sustainable Development Goals (SDGs): Explorative analyses of development paths in South Asia and Sub-Saharan Africa

The VUCA approach as a solution concept to corporate foresight challenges and global technological disruption

Linking analyses and environmental Kuznets curves for aggregated material flows in the EU

Relationships of the dimensions of sustainability as measured by the sustainable society index framework

 

Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

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Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Mr Khalifa Aliyu Ibrahim, Cranfield University, United Kingdom

Mr. Kamilu A. Ibrahim is a dedicated researcher and academic with expertise in AI-driven high-frequency power electronics. Currently pursuing a PhD at Cranfield University, he has a strong background in physics, energy, and power systems. His research focuses on sustainable energy solutions, incorporating artificial intelligence and machine learning. With numerous publications in reputable journals and conferences, Mr. Ibrahim has made significant contributions to renewable energy, hydrogen systems, and power electronics. His academic career includes roles as a lecturer and research assistant, demonstrating his passion for knowledge dissemination. Recognized for his excellence, he has received prestigious scholarships and awards.

Publication Profile

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Education

Mr. Kamilu A. Ibrahim is currently pursuing a PhD in AI-driven design of high-frequency power electronics at Cranfield University, where he explores innovative approaches to sustainable energy and power systems. He previously earned a Master of Science in Energy Systems and Thermal Processes from Cranfield University (2020-2021), gaining expertise in energy efficiency, renewable energy, and thermal management. Further advancing his research skills, he completed a Master’s by Research (M.Res.) in Energy and Power (2022-2023), focusing on advanced power systems and their optimization. His academic journey began with a Bachelor of Science in Physics from Kaduna State University (2013-2016), where he built a strong foundation in physical sciences and energy applications. Throughout his education, Mr. Ibrahim has demonstrated a commitment to innovation in power electronics, artificial intelligence, and sustainable energy solutions. His multidisciplinary background equips him with the technical and analytical skills essential for driving advancements in renewable energy and intelligent power systems. 🎓⚡🔋

Experience

Mr. Kamilu A. Ibrahim has a strong background in research, teaching, and project management, with a focus on power systems, renewable energy, and AI applications. Since 2022, he has been working as a Research Assistant at Cranfield University, contributing to cutting-edge studies in AI-driven high-frequency power electronics. Prior to this, he served as a Lecturer at Kaduna State University from 2021 to 2022, where he taught physics and energy-related courses while mentoring students in research projects. From 2020 to 2021, he was a Lecturer at Nuhu Bamalli Polytechnic, Zaria, where he played a key role in curriculum development and academic instruction in energy systems. Throughout his career, Mr. Ibrahim has combined his expertise in energy and artificial intelligence to drive innovation in sustainable energy solutions. His experience spans teaching, publishing research in top-tier journals, and collaborating on interdisciplinary projects, making significant contributions to the advancement of renewable energy technologies.

Awards and Honors

Mr. Kamilu A. Ibrahim has been recognized for his academic excellence and research contributions through several prestigious awards and honors. He received the Petroleum Technology Development Fund Scholarship (2021), a highly competitive award supporting outstanding researchers in energy and power systems. In 2020, he was also honored with the Merit-based Foreign Scholarship, which enabled him to pursue advanced studies in energy systems and AI-driven power electronics. In addition to these distinguished scholarships, Mr. Ibrahim has earned multiple certificates of completion from various specialized training programs, focusing on sustainable energy, artificial intelligence applications in power systems, and cutting-edge advancements in high-frequency electronics. His commitment to continuous learning and innovation has positioned him as a leader in his field, contributing significantly to research in renewable energy, hydrogen storage, and machine learning applications. These achievements underscore his dedication to academic excellence and groundbreaking contributions to the future of energy technologies.

Publication Top Notes

  • 📊 Revolutionizing Power Electronics Design Through Large Language Models: Applications and Future Directions (2024)
  • 🌊 Floating Solar Wireless Power Transfer System for Electric Ships: Design and Laboratory Tests (2025)
  • 🔋 Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies (2023)
  • ☀️ The Effect of Solar Irradiation on Solar Cells (2019)
  • 🌡️ Cooling of Concentrated Photovoltaic Cells—A Review and the Perspective of Pulsating Flow Cooling (2023)
  • 🌱 High-Performance Green Hydrogen Generation System (2021)
  • ⚗️ Advancing Hydrogen: A Closer Look at Implementation Factors, Current Status, and Future Potential (2023)
  • 📡 Survey and Assessment of Radiation Levels Associated with Mobile and Wireless Telecommunication Mast in Residential and Office Areas within Kaduna Metropolis (2019)
  • 🚀 Decision Support System for Sustainable Hydrogen Production: Case Study of Saudi Arabia (2025)
  • 🛢️ Measurements of Pour Points, Flash Points, Water Contents, and Viscosity of Some Selected Automobile Oils Used as Lubricants in Nigeria (2022)