Chao Li | Data Processing | Research Excellence Award

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Dr. Chao Li | Data Processing | Research Excellence Award

Qingdao Technical College | China

Dr. Chao Li is an engineering scholar and lecturer whose work bridges professional education and applied research in advanced sensing technologies. He holds a doctoral degree in engineering and completed his undergraduate studies in industrial equipment and control engineering, where he built a strong foundation in intelligent systems. Since 2019, he has focused extensively on indoor mapping and positioning, integrating theoretical innovation with engineering-driven problem-solving. His research experience includes serving as a core contributor to multiple provincial key R&D initiatives and collaborations with major technology enterprises, where he helped develop applied solutions for real-world industrial environments. He has published several SCI-indexed journal articles as a first or corresponding author and holds an invention patent that reflects the practical impact of his work. In addition to research, he is dedicated to teaching and curriculum development in professional courses, promoting hands-on learning and interdisciplinary thinking. His academic achievements demonstrate a commitment to advancing positioning technologies, enhancing industry–academia collaboration, and addressing emerging challenges in smart manufacturing and intelligent monitoring. Looking ahead, he aims to continue deepening his contributions to indoor mapping and positioning, driving innovation that supports both scientific development and technological progress.

Profile : Orcid

Featured Publications

Li, C., Chai, W., Zhang, M., Sun, Z., Shao, G., & Li, Q. (2023). “A novel visual-aided method to enhance the inertial navigation system of an intelligent vehicle in indoor environments.” IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3293884

Chai, W., Li, C., & Li, Q. (2023). “Multi-sensor fusion-based indoor single-track semantic map construction and localization.” IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3226821

Li, C., Chai, W., Wu, Q., Li, J., Lin, F., Li, Z., & Li, Q. (2022). “A graph optimization enhanced indoor localization method.” In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE). https://doi.org/10.1109/cipae55637.2022.00055

Li, C., Chai, W., Yang, X., & Li, Q. (2022). “Crowdsourcing-based indoor semantic map construction and localization using graph optimization.” Sensors. https://doi.org/10.3390/s22166263

Chai, W., Li, C., Zhang, M., Sun, Z., Yuan, H., Lin, F., & Li, Q. (2021). “An enhanced pedestrian visual-inertial SLAM system aided with vanishing point in indoor environments.” Sensors. https://doi.org/10.3390/s21227428

Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

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Mrs. Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

North Dakota State University(NDSU) | United States

Umme Habiba is a dedicated researcher and educator in computer science whose work centers on machine learning, deep learning, transformer-based architectures, explainable AI, and swarm intelligence, particularly within medical data analysis. She is pursuing her Ph.D. and M.Sc. in Computer Science at North Dakota State University, where she has gained extensive teaching experience as an instructor of record and graduate teaching assistant across several undergraduate courses. Her research contributions span clinical text mining, medical risk prediction, brain–computer interface modeling, IoT security, and usability analysis of mHealth applications, with publications in reputable international journals. She has also collaborated on projects involving mobile sensor–based spatial analysis, voice-controlled IoT automation systems, and hybrid ML models for network intrusion detection. Her academic journey began with a bachelor’s degree in Computer Science and Engineering, where she developed a strong foundation in data-driven system design and intelligent applications. She has received consistently high teaching evaluations and has demonstrated a commitment to interdisciplinary research and student learning. Her long-term goal is to contribute impactful solutions at the intersection of artificial intelligence and healthcare while advancing as both a researcher and an educator.

Profile : Orcid

Featured Publication

PSO-optimized TabTransformer architecture with feature engineering for enhanced cervical cancer risk prediction, 2026

Hisao Nakai | Public Health Analytics | Best Researcher Award

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Dr. Hisao Nakai | Public Health Analytics | Best Researcher Award

Faculty of Nursing, University of Kochi | Japan

Dr. Hisao Nakai is an Associate Professor in the Faculty of Nursing at the University of Kochi, specializing in disaster nursing, disaster management, and GIS‑based risk assessment. Holding a Ph.D. in Health Sciences from Kanazawa University, he has published 28 documents, which have been cited 107 times by 96 documents, resulting in an h-index of 7. His research centers on vulnerable populations—such as medically dependent children, older adults, and people with mental illness—and uses participatory ICT/IoT systems like K‑DiPS, which he helped develop, to support personalized disaster readiness, evacuation planning, power backup, and business continuity. He has applied GIS to simulate evacuation routes (e.g., for tsunamis) and assess environmental risks, especially for those with special needs. Academically, he has held roles at Kanazawa Medical University and Kochi University and has received awards including a Japanese Public Health Society poster prize. He has also led national surveys on disaster information sharing among caregivers of children requiring medical care. Through his interdisciplinary, community‑oriented work, Dr. Nakai is advancing equitable disaster resilience for people often overlooked in traditional emergency planning, combining practical applications with innovative research in disaster preparedness and nursing science.

Profile : Scopus

Featured Publications

Nakai, H., Oe, M., Nagayama, Y., Tokuoka, M., Yamaguchi, C., & Tanaka, K. (2025). “A retrospective study on evacuation and long-term displacement among home-visit psychiatric nursing service users in the aftermath of the 2024 Noto Peninsula Earthquake” in International Journal of Environmental Research and Public Health.

Oe, S., Nakai, H., Nagayama, Y., Oe, M., & Yamaguchi, C. (2025). “Factors associated with worsening post-earthquake psychiatric symptoms in patients receiving psychiatric visiting nurse services during the 2024 Noto Peninsula Earthquake: A retrospective study” in Psychiatry International.

Nitta, Y., Hashimoto, R., Shimizu, Y., Nakai, Y., & Nakai, H. (2025). “Adherence to outpatient care among individuals with pre‐existing psychiatric disorders following the 2024 Noto Peninsula Earthquake: A retrospective study” in Psychiatry and Clinical Neurosciences Reports.

Nakai, H., Oe, M., & Nagayama, Y. (2024). “Factors related to evacuation intention when a Level 4 evacuation order was issued among people with mental health illnesses using group homes in Japan: A cross-sectional study” in Medicine.

Nakai, H., Ishii, K., & Sagino, T. (2024). “Turnover intention among staff who support older adults living alone in Japan: A cross-sectional study” in Social Sciences.

Arun Gupta |  Fluid Mechanics | Best Researcher Award

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Dr. Arun Gupta |  Fluid Mechanics | Best Researcher Award

University Institute of Engineering And Technology | India

Dr. Arun Kumar Gupta is an accomplished academician and researcher in the field of Chemical Engineering with over twenty-three years of teaching and research experience. He is currently serving as an Associate Professor at the University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur. Dr. Gupta holds a B.Tech in Chemical Engineering from UIET, CSJMU, an M.Tech, and a Ph.D. in Chemical Engineering from IIT Kanpur. His research interests encompass process modeling and simulation, sustainable chemical processes, environmental engineering, smart farming systems, and the application of IoT and machine learning in chemical engineering. With 27 publications, 14 edited chapters, 3 books, and 1 completed project under the CV Raman Scheme, he has made significant scholarly contributions. He has organized and participated in numerous workshops, conferences, and faculty development programs and has been recognized with several honors, including the “Excellence in Academics Award” at the INDO–THAI International Excellence Awards 2024 and a Gold Medal in the NPTEL ASPEN course. Dr. Gupta’s innovative work has also led to two patents in smart irrigation and sustainable reactor design. Dedicated to advancing engineering education and research, he continues to inspire students and contribute to technological innovation.

Profiles : Orcid | Google Scholar

Featured Publications

Chandra, A.K., Khan, W., Gupta, A.K., Patel, P.B., & Niranjan, R.S. (2025). “E‐Waste: A Leading Hazardous Waste.” In Global Waste Management (pp. 29–61).

Lal, A., Gupta, A.K., Kumar, A., & Indu, N.K.Y. (2010). “Manufacture and study of physico-chemical properties of Karanja bio-diesel.” In Proceedings on Renewable Energy and Sustainable Biofuels (Vol. 4).

Gupta, G.D., & Arun Kumar, G. (2022). “Enhancement in activity and reusability of dry Amberlyst-15 catalyst by thermal treatment for production of biodiesel from Karanja oil.” In Asian Journal of Chemistry, 35(1), 62–68.

Gupta, A.K., & Deo, G. (2018). “A single-step process to convert Karanja oil to fatty acid methyl esters using Amberlyst-15 as a catalyst.” In Chemical and Biochemical Engineering Quarterly, 32(1), 1–10.

Chiu, K., Gupta, A., Afxentiou, T., Ashraf, A., Kanani, R., Rajaguru, K., Bhatt, N., et al. (2025). “Impact of multiprofessional radiotherapy peer review on multidisciplinary team meeting staging in head and neck cancer.” In Clinical Oncology, 38, Article 103696.

Gupta, A.K. (2023). “Various methods for enhancement in heterogeneous catalyzed biodiesel production reaction rate.” In Journal of the Indian Chemical Society, 100(100970), 4.

Syed Abrar Ahmed | Optical Communication | Best Researcher Award

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Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”

Marianna Rotilio – Machine learning for Buildings – Best Researcher Award 

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Prof. Marianna Rotilio - Machine learning for Buildings - Best Researcher Award 

University of L'Aquila - Italy

Author Profile

Early Academic Pursuits

Prof. Marianna Rotilio's academic journey began with her Scientific High School Diploma from the Andrea Bafile Scientific High School in L'Aquila, Italy, where she achieved a perfect score of 100/100. This strong foundation laid the groundwork for her future endeavors in academia. She went on to pursue a five-year degree in Building-Architectural Engineering at the University of L'Aquila, graduating with top honors and a score of 110/110 in 2005. Her thesis titled "Recupero e Sostenibilità. Caso di studio: Civitaretenga" exemplified her early interest in sustainable architecture and restoration.

In 2006, Marianna embarked on a collaborative journey with various prestigious institutions, including the University of Pavia and the University of Rome "La Sapienza", as part of her research doctorate in EU Building-Architecture. This collaborative approach marked the beginning of her interdisciplinary approach to research, a characteristic that would define her future academic pursuits.

Professional Endeavors

Prof. Marianna's professional journey is marked by a series of research grants and appointments that underscore her expertise in sustainable building practices and architectural heritage preservation. Her involvement in projects such as the PRIN 2009 project on "Dry technologies for energy recovery and requalification" and the development of strategic plans for student housing demonstrates her commitment to addressing real-world challenges through research.

Her engagement as a contract lecturer and participation in international research groups further enriched her professional repertoire, allowing her to contribute to the academic community while also staying connected to practical applications of her research.

Contributions and Research Focus

Throughout her career, Marianna's research has focused on several key areas, including spatial planning and post-earthquake reconstruction, the study of building components, public lighting efficiency, and the redevelopment of historical buildings. Her interdisciplinary approach, combining elements of architecture, engineering, and sustainability, has led to impactful contributions in each of these domains.

Her work on developing guidelines for energy-efficient renovation of historical buildings and her research on the hygrothermal behavior of ancient walls have been particularly noteworthy. These contributions have not only advanced the field of sustainable architecture but also provided practical insights for policymakers and practitioners involved in heritage conservation and urban planning.

Accolades and Recognition

Prof. Marianna's dedication to research and academic excellence has been recognized through various accolades and appointments, including her qualifications as both a first-level and second-level university professor in the Design and Technological Planning of Architecture sector. Her involvement in prestigious research projects funded by entities such as Horizon Europe and the European CBHE Program speaks to the high regard in which her expertise is held within the academic community.

Impact and Influence

Prof. Marianna's research has had a significant impact on both academia and practice. By addressing pressing challenges such as energy efficiency in historical buildings and sustainable urban development, she has contributed to advancing knowledge in these areas while also informing real-world decision-making processes. Her collaborations with international research groups and her role as a founding partner of a university spin-off further underscore her influence within the academic and professional spheres.

Legacy and Future Contributions

As Marianna continues her academic journey, her legacy is one of interdisciplinary collaboration, innovative research, and a commitment to sustainability in the built environment. Her future contributions are likely to further shape the field of architectural engineering, with a focus on addressing emerging challenges such as climate change and urbanization. By inspiring future generations of researchers and practitioners, Marianna is poised to leave a lasting impact on the field for years to come.

Notable Publication

 

Paraskumar Patel – Data Analytics and Engineering – Global Data Innovation Recognition Award 

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Mr. Paraskumar Patel - Data Analytics and Engineering - Global Data Innovation Recognition Award 

Fractal.ai - United States

Author Profile

Early Academic Pursuits

Mr. Paraskumar Patel embarked on his academic journey with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University, India. This foundational education provided him with a strong background in engineering principles and analytical thinking. Subsequently, he pursued a Master of Chemical Engineering from Carnegie Mellon University, USA, further honing his expertise in the field.

Building upon his engineering background, Patel expanded his academic horizons with a Master of Science in Information Technology from the University of the Cumberlands, USA. This interdisciplinary education equipped him with the necessary skills to bridge the gap between technology and engineering, laying the groundwork for his future endeavors in data engineering and analytics.

Professional Endeavors

Mr. Paraskumar Patel's professional journey is marked by a series of impactful roles in prominent organizations. As a Software Engineer at CCS Global Tech, he demonstrated leadership and technical prowess by spearheading projects for Advantasure, a healthcare company. Patel's contributions led to a 15% improvement in team performance, underscoring his ability to drive results and foster collaboration.

Transitioning to Fractal.ai as a Senior Data Engineer, Patel continued to excel, leveraging his expertise to deliver innovative data solutions for clients across various industries. His work with clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcased his versatility and adaptability in addressing diverse business challenges.

Contributions and Research Focus

Mr. Patel's contributions extend beyond his professional endeavors, with a notable presence in academia. As an accomplished author, he has published several papers in respected journals, focusing on advanced data visualization, data engineering challenges, and privacy-preserving techniques in analytics. His research not only demonstrates thought leadership but also contributes to the advancement of knowledge in the field of data science and engineering.

Accolades and Recognition

Throughout his career, Paraskumar Patel has garnered recognition for his contributions and achievements. His impactful work has been acknowledged by both peers and industry experts, cementing his reputation as a leader in the field of data engineering. Whether it's leading teams to success, delivering high-impact solutions for clients, or advancing research in academia, Patel's accomplishments have not gone unnoticed.

Impact and Influence

Mr. Paraskumar Patel's work has had a profound impact on the organizations he has been a part of, driving operational efficiencies, enhancing data accessibility, and fostering data-centric cultures. Through his leadership and technical expertise, he has empowered teams to deliver innovative solutions that drive business success and enable data-driven decision-making.

Legacy and Future Contributions

As Paraskumar Patel continues to make strides in his career, his legacy is one of excellence and innovation in the field of data engineering. His commitment to continuous learning, problem-solving, and collaboration sets a precedent for future generations of data professionals. Moving forward, he aims to further expand his contributions to academia and industry, shaping the future of data science and engineering through his research, leadership, and advocacy for ethical and responsible data practices.

Notable Publication

 

Mansour Jonban – smart grid Award – Best Researcher

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Dr. Mansour Jonban - smart grid Award - Best Researcher Award   

Universitat Politècnica de Catalunya - Spain

Author Profile

Early Academic Pursuits

Dr. Mansour Selseleh Jonban embarked on his academic journey with a strong foundation in Electrical Engineering from Azad University, Iran, where he obtained his Bachelor's degree with distinction. He continued his pursuit of knowledge by specializing in Mechatronic Engineering for his Master's degree, demonstrating his multidisciplinary approach to engineering. This was followed by his Ph.D. in Electronic Engineering at Universitat Politècnica de Catalunya (UPC), BarcelonaTech, Spain, where he delved deeper into the realms of energy management and control systems.

Professional Endeavors

Throughout his academic journey, Mansour Selseleh Jonban has been actively engaged in both research and practical implementations. He served as a Research Assistant at the Centre Tecnológic de Catalunya (eurecat) in Spain, where he contributed to the development of control structures for programmable power supplies and electronic loads. His role involved configuring, setting up, and remotely controlling these systems, showcasing his proficiency in experimental setups and real-time control mechanisms.

The Grid Innovator Prize celebrates pioneers in the field of smart grid technology, recognizing their groundbreaking contributions to energy efficiency, renewable energy integration, and grid modernization. This prestigious award honors individuals, organizations, and projects that have demonstrated exceptional innovation and leadership in harnessing the power of smart grid solutions.

Contributions and Research Focus On smart grid Award

Dr. Mansour's research primarily focuses on intelligent energy management systems, with a keen interest in renewable energy sources and microgrid technology. His Ph.D. thesis on "Intelligent Secondary Control for energy management in a Micro-grid by using Multi-Agent System" reflects his commitment to advancing the field of energy management through innovative approaches such as multi-agent systems and smart control algorithms. His publications in reputable journals and conferences attest to the significance of his contributions in this domain.

Accolades and Recognition

Dr. Mansour's academic excellence has been recognized with honors and awards throughout his career. He received the prestigious Excellent Cum Laude Honor for his Ph.D. dissertation at UPC, Barcelona, acknowledging the quality and impact of his research. Additionally, he was awarded full scholarships for his Ph.D. studies, further highlighting his academic prowess and dedication to his field. His membership in professional societies and his role as a reviewer for IEEE and Elsevier journals underscore his standing in the academic community.

Impact and Influence

Dr. Mansour's research and contributions have made a significant impact on the fields of energy management and control systems. His work on autonomous energy management systems for green buildings and fault-tolerant control structures for microgrids has the potential to revolutionize the way we utilize renewable energy sources and manage power distribution networks. By integrating advanced technologies such as artificial intelligence and multi-agent systems, Mansour is paving the way for more efficient and sustainable energy solutions.

Legacy and Future Contributions

As Mansour continues his academic and professional journey, his legacy lies in his groundbreaking research and innovative solutions to complex energy management challenges. Through his expertise in control systems, artificial intelligence, and renewable energy integration, he is shaping the future of sustainable energy systems. His ongoing commitment to excellence, coupled with his multidisciplinary approach, ensures that his contributions will continue to inspire advancements in the field for years to come.

Citations

  • Citations   57
  • h-index       4
  • i10-index    3

Notable Publication