Ing. Hem Bahadur Motra | Engineering | Best Researcher Award

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Dr. Ing. Hem Bahadur Motra | Engineering | Best Researcher Award 

Lecturer at University of Kiel | Germany

Dr.Ing. Hem Bahadur Motra is a highly accomplished researcher and academic specializing in geomechanics, rock physics, and geotechnical engineering at the University of Kiel, Germany. His professional journey reflects a deep commitment to advancing the understanding of subsurface processes through innovative experimental and computational approaches. He holds advanced degrees in civil and structural engineering and has completed extensive postdoctoral research in geotechnics, rock mechanics, and subsurface physics. As a research associate and head of the Geomechanics and Rock Mechanics Experimental Laboratory at Kiel University, he has contributed significantly to the study of the mechanical, thermal, and acoustic behavior of geomaterials under complex in-situ conditions. His multidisciplinary expertise bridges geosciences, civil engineering, and energy technologies, integrating rock physics, structural mechanics, and environmental sustainability. Dr.Ing. Hem Bahadur Motra has authored 47 scientific documents with 625 citations across 537 publications and holds an h-index of 14, reflecting the strong academic impact of his research. His extensive publication record spans top-tier journals, including International Journal of Rock Mechanics and Mining Sciences, Applied Energy, and Geotechnical and Geological Engineering. His research interests encompass multiscale geomechanical modeling, seismic anisotropy, CO₂ storage, geothermal energy, and the use of artificial intelligence in geological systems. He has led and collaborated on numerous national and international research projects funded by organizations such as DFG, DAAD, and the EU, focusing on sustainable infrastructure, rock deformation, and energy geotechnics. Beyond research, Dr.Ing. Hem Bahadur Motra plays an influential role as an editorial board member and special issue editor for several prestigious journals, contributing to the dissemination of cutting-edge developments in the field. His leadership in scientific committees, professional societies, and technical working groups further highlights his commitment to advancing interdisciplinary collaboration. Through his pioneering research, academic mentorship, and global collaborations, Dr.Ing. Hem Bahadur Motra continues to make impactful contributions to the scientific community, shaping the future of geotechnical and rock mechanics research and promoting innovative, sustainable solutions to address the challenges of modern engineering and Earth sciences.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Motra, H. B.(2018). Geomechanical rock properties using pressure and temperature dependence of elastic P- and S-wave velocities. Geotechnical and Geological Engineering, 36(6), 3751–3766.

  • Motra, H. B.(2018). Poisson’s ratio and auxetic properties of natural rocks. Journal of Geophysical Research: Solid Earth, 123(2), 1161–1185.

  • Motra, H. B.(2019). Laboratory evaluation of rock-based geopolymers for zonal isolation and permanent P&A applications. Journal of Petroleum Science and Engineering, 175, 352–362.

  • Motra, H. B.(2017). Meso-scale modeling of heat transport in a heterogeneous cemented geomaterial by lattice element method. Granular Matter, 19, 1–12.

  • Motra, H. B.(2021). Pressure, temperature and lithological dependence of seismic and magnetic susceptibility anisotropy in amphibolites and gneisses from the central Scandinavian Caledonides. Tectonophysics, 820, 229113.

Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award

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Dr. Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award 

Biological Systems Engineering at University of Wisconsin-Madison | United States

Dr. Jiahao Fan is a highly accomplished researcher whose work lies at the intersection of artificial intelligence, computer vision, and biological systems engineering. His professional journey reflects a commitment to developing innovative, data-driven technologies that enhance agricultural productivity and environmental sustainability. He completed his advanced studies in Biological Systems Engineering with a focus on integrating machine learning and computational modeling into precision agriculture. His educational background also includes strong foundations in machine learning, data mining, and remote sensing, equipping him with the expertise to address complex, multidisciplinary challenges in modern biological sciences. Throughout his research career, Dr. Jiahao Fan has contributed to the advancement of multimodal deep learning frameworks, vision-language modeling, and sensor-based data fusion for agricultural applications. His pioneering projects include developing object detection and segmentation systems for plant monitoring, multimodal feature fusion methods for crop analysis, and efficient retrieval-based prediction algorithms that optimize computational performance in data-limited environments. His academic work demonstrates a deep understanding of artificial intelligence applied to biological processes, leading to several peer-reviewed publications and open-source innovations that support sustainable farming systems. Dr. Jiahao Fan’s research is characterized by technical precision, interdisciplinary collaboration, and a vision to bridge computational sciences with real-world agricultural needs. His efforts have earned notable recognition within the research community, as reflected in his 476 citations by 474 documents, 6 published works, and an h-index of 5, highlighting the scholarly influence and practical value of his contributions. Through his continuous pursuit of excellence in both theory and application, Dr. Jiahao Fan remains dedicated to advancing the frontiers of agricultural automation, digital phenotyping, and sustainable resource management. His work not only enriches the academic discourse in agricultural and biological sciences but also lays the groundwork for future innovations that integrate artificial intelligence with global food security and environmental resilience.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Fan, J.(2022). Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data. Remote Sensing, 14(13), 3052.

  • Fan, J.(2023). Enhancing maize silage quality assessment through UAV-based high-throughput phenotyping and deep transfer learning. In AGU Fall Meeting, San Francisco.

  • Fan, J.(2023). Uncrewed aerial vehicle (UAV)-based high‐throughput phenotyping of maize silage yield and nutritive values using multi-sensory feature fusion and multi-task learning with attention mechanism. Remote Sensing, 17(21), 3654.

  • Fan, J.(2025). Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 227,

  • Fan, J.(2022). Multi-temporal estimation of maize yield and flowering time using UAV-based hyperspectral data. Proceedings of the North American Plant Phenotyping Network (NAPPN) Annual Conference.

Inesh Sood | Medicine and Dentistry | Best Researcher Award

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Mr. Inesh Sood | Medicine and Dentistry | Best Researcher Award

Research Intern at University of Oxford | United Kingdom

Mr. Inesh Sood is an accomplished medical scholar and emerging researcher from the University of Oxford, whose work bridges medicine, neuroscience, and technological innovation. With a First-Class Honours degree in Medical Sciences and ongoing studies toward the Bachelor of Medicine and Bachelor of Surgery, he has consistently demonstrated academic excellence, earning top distinctions and merit-based scholarships. His education has been characterized by a rigorous engagement with clinical sciences, biomedical research, and leadership in academic societies, notably through his service as Vice-President of a prominent medical society at Oxford. Professionally, he has contributed to cutting-edge research projects within the Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, where he evaluated the application of artificial intelligence scribes in clinical consultations, exploring how technology can enhance medical efficiency and patient care. In parallel, his work with the Bajo Lorenzana Auditory Neuroscience Group focuses on the optogenetic activation of neuronal pathways, where he developed MATLAB-based analytical tools to assess and classify neuronal activity from live recordings an initiative that demonstrates his technical proficiency and innovative approach to neuroscience research. His findings are being presented at the prestigious Society for Neuroscience (SFN) conference, underscoring his growing recognition within the global scientific community. Earlier, as a visiting scholar at Brown University, he conducted molecular and cell biology research on germline migration using CRISPRCAS9 techniques and single-cell sequencing analysis, contributing to publications in developmental biology. Beyond his laboratory expertise, he has also engaged in healthcare consulting, applying analytical and strategic thinking to support biotech innovation in cancer vaccine development. His diverse skill set spans biomedical research, data analysis, and leadership in academic and collaborative settings. Mr.Inesh Sood’s research interests lie in medical innovation, neuroscience, and the intersection of artificial intelligence with healthcare systems. Through his interdisciplinary experiences, he continues to pursue a vision of advancing scientific discovery and improving patient outcomes by combining evidence-based medicine with cutting-edge technology, reflecting a commitment to excellence, curiosity, and societal impact in the field of medicine and dentistry.

Profile: Orcid | LInkedin

Featured Publications:

H., Sood,(2025).Biomarkers in Stereotactic Ablative Radiotherapy: Current Evidence and Future Directions. International Journal of Molecular Sciences, 26(21), 10640.

H., Sood,(2025).Emerging Applications of Stereotactic Ablative Radiotherapy in Oligometastatic Colorectal Cancer. International Journal of Molecular Sciences, 26(21), 10302.

Jack Ng Kok Wah | Business | Best Innovation Award

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Dr. Jack Ng Kok Wah | Business | Best Innovation Award 

Senior Lecturer at Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a distinguished academic and innovation-driven scholar currently serving as a Senior Lecturer at Multimedia University, Malaysia, with a professional focus on artificial intelligence, digital marketing, and behavioral science in business transformation. With over three decades of multidisciplinary experience spanning healthcare, finance, education, and tourism, he bridges academic theory with practical applications that advance both industry and society. He holds a Ph.D. in Business from Universiti Malaya-Wales, an MBA in Marketing Management from Nottingham Trent University and a BA (Hons) in Marketing Management from the University of Northumbria at Newcastle. His research emphasizes the integration of AI technologies into marketing and management systems, exploring areas such as AI-assisted healthcare, digital mental health engagement, AI in agriculture, and data-driven consumer behavior. He has published 10 Scopus-indexed documents with an academic influence reflected in 47 citations by 46 documents, a publication count of 10, and an h-index of 3, demonstrating consistent scholarly contribution. Dr. Jack Ng Kok Wah’s portfolio of Q1 and Q2 publications includes studies on AI-driven robotic surgery, digital health, agricultural sustainability, and AI-powered language learning, signifying his commitment to advancing knowledge that has global reach and societal benefit. His professional journey also includes leadership in curriculum innovation, mentorship, and research supervision at postgraduate levels, contributing to capacity-building in AI-based business education. A certified HRDF trainer and recognized expert in digital strategy, he frequently delivers keynote addresses and training sessions on AI-powered marketing and academic writing. His excellence has been acknowledged with multiple distinctions, including the Best Researcher Award and inclusion in Britishpedia: Successful People in Malaysia & Singapore. Dr. Jack Ng Kok Wah’s research ethos is driven by innovation, interdisciplinary collaboration, and the pursuit of solutions that merge technology with human-centric progress. His ongoing work continues to shape the future of digital transformation, fostering impactful academic research and industrial partnerships that promote sustainable, intelligent business ecosystems.

Profile: Scopus | Orcid | Google Scholar | Linkedin

Fuetured Publications:

Ng Kok Wah, J. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19, Article 311.

Ng Kok Wah, J. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(47).

Ng Kok Wah, J. (2025). Revolutionizing e-health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.

Ng Kok Wah, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19, 382.

Ng Kok Wah, J. (2025). The robotic revolution in cardiac surgery. Journal of Robotic Surgery, 19(386).

Ng Kok Wah, J. (2025). The role of AI in transforming agriculture: Toward sustainable growth in an era of climate change. Scientific Culture, 11(2), 45–63.

Ng Kok Wah, J. (2025). AI-driven 3D and 4D food printing: Innovations for sustainability, personalization, and global applications. Food Reviews International. Advance online publication.

Ng Kok Wah, J. (2025). Empowering minds: How self-efficacy, self-esteem, and social support drive digital mental health engagement. Frontiers in Public Health, 13.

Ng Kok Wah, J. (2025). Empowering healthier decisions: The impact of consumer innovativeness on linking perceived benefits with protective health behaviors through digital marketing in the healthcare sector. International Journal of Pharmaceutical and Healthcare Marketing. Advance online publication.

Ng Kok Wah, J. (2025). Artificial intelligence in language learning: A systematic review of personalization and learner engagement. Forum for Linguistic Studies, 7(9), 327–341.

Tom Schimanski | Medicine and Dentistry | Best Researcher Award

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Mr. Tom Schimanski | Medicine and Dentistry | Best Researcher Award  

Student at Universität Regensburg | Germany

Mr. Tom Schimanski is an emerging researcher at Universität Regensburg whose work bridges the intersection of medicine, surgery and biomedical innovation. His academic background reflects an early commitment to scientific rigor and medical advancement, culminating in advanced studies and a doctoral research focus within the Department of Plastic, Hand, and Reconstructive Surgery. Building upon a foundation of clinical training, he has developed extensive expertise in translational medicine, integrating laboratory research with real-world surgical applications. His scholarly engagement is marked by active participation in experimental studies addressing tissue regeneration, cellular responses, and cryopreservation methodologies for adipose and connective tissues. Mr. Tom Schimanski’s contributions to the scientific community are evident through his publications in internationally indexed journals such as Cells, where his research explores mechanisms of ferroptosis, biocompatibility of anesthetics, exosome mediated cellular communication, and innovative imaging approaches like multispectral optoacoustic tomography. With 3 published documents, 1 citation, and an h-index of 1, he exemplifies the diligence and precision of a young scientist dedicated to building a lasting impact in medical science. His ongoing collaborations with institutions such as Helmholtz Zentrum München further strengthen his multidisciplinary approach, combining cellular biology, materials science, and reconstructive medicine. Mr. Tom Schimanski’s research interests encompass tissue engineering, regenerative medicine, biomaterials development, and translational surgery, focusing on developing clinically viable strategies to enhance wound healing and graft preservation. His work also reflects a broader vision for integrating biotechnological innovations into surgical practice, fostering advancements that align patient safety with scientific discovery. Through his deep engagement in both experimental and clinical contexts, he continues to advance methodologies that could redefine regenerative outcomes and improve the sustainability of reconstructive procedures. With a growing research record and a strong foundation in evidence-based medicine, Mr. Tom Schimanski represents a new generation of clinician-scientists whose contributions are shaping the evolving landscape of biomedical research and surgical innovation. His pursuit of excellence underscores a commitment to translating science into tangible medical progress, marking him as a promising and impactful figure in contemporary medical research.

Profile: Scopus | Orcid

Featured Publications:

Schimanski, T., Loucas, R., Loucas, M., Brébant, V., Anker, A., Klein, S., Diesch, S. T., Pagani, A., & Prantl, L. (2025). Histological and immunohistochemical characteristics of mechanically processed adipose tissue A systematic review and meta-analysis. Cells, 14(21), 1664.

Schimanski, T., Prantl, L., Eigenberger, A., Felthaus, O., Loucas, R., Utpatel, K., & Steer, K. (2025). CELTPLUS fat increases the metabolic activity as well as the SVF-yield significantly when compared to CELT fat, even after cryopreservation with DMSO. Cells, 14(16), 1270.

Schimanski, T., Loucas, R., Loucas, M., Felthaus, O., Brébant, V., Klein, S., Anker, A., Frank, K., Siegmund, A., Pagani, A., & Prantl, L. (2025). Histology and immunohistochemistry of adipose tissue: A scoping review on staining methods and their informative value. Cells, 14(12), 898.

Eigenberger, A., Felthaus, O., Bartsch, A., Schimanski, T., Utpatel, K., & Prantl, L. (2025). The influence of sedimentation on the composition of the lipoaspirate and the effects on further mechanical processing. Cells, 14(8), 601.

Rodrigo Zarate Torres | Environmental Science | Innovative Research Award

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Dr.Rodrigo Zarate Torres | Environmental Science | Innovative Research Award 

Profesor Investigador at Colegio de Estudios Superiores de Administración| Colombia

Dr. Rodrigo Zárate Torres is a distinguished academic leader, educator, and researcher whose work bridges leadership, emotional intelligence, sustainability, and organizational innovation. He currently serves in an academic leadership capacity at the Colegio de Estudios Superiores de Administración (CESA) in Colombia, where he contributes to the advancement of management education and research. He holds a Doctor of Strategic Leadership (DSL) with a focus on Global Management, a Master of Business Administration (MBA) in Marketing and International Business, and a degree in Industrial Engineering. Throughout his career, Dr. Rodrigo Zárate Torres has held key academic and administrative positions, including director, dean, and researcher, in institutions recognized for academic excellence. His extensive experience encompasses strategic leadership development, higher education accreditation, and organizational consulting, with contributions to both local and international academic collaborations. His research, widely cited across the global scholarly community, includes 18 publications, 118 citations by 110 documents, and an h-index of 7, demonstrating the quality and impact of his work. Dr. Rodrigo Zárate Torres’s scholarly interests focus on the intersections of emotional intelligence, leadership behavior, organizational culture, and sustainable management, emphasizing how human factors drive innovation and performance in diverse institutional contexts. He has published numerous studies in high-impact journals, exploring psychometric validation, leadership styles, and the role of emotional and spiritual intelligence in organizational success. Recognized as a “Senior Researcher” by Colciencias, he has also received awards for excellence in teaching and research, including international recognition for his contributions to project management and academic development. His active involvement in editorial boards, research groups, and professional associations has further enhanced his influence in shaping management education and leadership scholarship in Latin America and beyond. Dr. Rodrigo Zárate Torres’s academic vision integrates strategic foresight, ethical leadership, and emotional competence as foundational elements of sustainable development and institutional excellence. His enduring dedication to research, mentorship, and leadership continues to inspire innovation and social responsibility within academia and the broader organizational landscape.

Profile: Scopus | Orcid | GoogleScholar

Featured Publications:

  • Zárate-Torres, R. A., & Matviuk, S. (2012). Emotional intelligence and leadership practices in Colombian organizations. Cuadernos de Administración, 28(47), 91–104.

  • Acosta-Prado, J. C., Zárate-Torres, R. A., & Pautt Torres, G. M. (2015). Characterization of emotional intelligence in Colombian managers. Universitas Psychologica, 14(3), 815–832.

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., & Acosta-Prado, J. C. (2022). Impact of leadership practices on manager’s pathways to goal attainment: The mediating effect of emotional intelligence. International Journal of Organizational Analysis,

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., Acosta-Prado, J. C., Gómez-Cruz, N. A., Rodríguez Castro, D. Y., & Camargo, J. (2025). Influence of leadership on human–artificial intelligence collaboration. Behavioral Sciences, 15(7), 873.

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., & Acosta-Prado, J. C. (2025). Social impact of happiness on transformational leadership in students from Colombian universities. Frontiers in Psychology.

  • Zárate-Torres, R. A. (2023). How good is the Myers-Briggs Type Indicator for predicting leadership? Frontiers in Psychology,

  • Zárate-Torres, R. A., Acosta-Prado, J. C., & Garzón Catrillón, M. A. (2016). Attributes and emotional intelligence in Colombian followers. Revista Espacios, 37(25), 18.