Nimai Chand Chandra | Engineering and Technology | Best Researcher Award Professor & Dean | Shri Vishnu Engineering College for Women | India

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Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award | Professor & Dean | Shri Vishnu Engineering College for Women | India 

Prof. Nimai Chand Chandra is a dedicated academician and accomplished researcher recognized for his extensive contributions to engineering education, technological innovation, and applied research across emerging scientific domains. He has established a strong academic foundation through rigorous training and advanced education, enabling him to excel as a faculty leader and multidisciplinary scholar committed to societal advancement through research-driven solutions. His professional experience spans teaching, research guidance, institutional development, and active participation in collaborative projects, reflecting his long-standing commitment to academic excellence and knowledge dissemination. Throughout his career, Prof. Nimai Chand Chandra has engaged deeply in higher education leadership, curriculum development, and student mentorship while contributing to impactful research initiatives that address current global and industrial challenges. His research interests encompass machine learning applications, computational modelling, sustainable engineering solutions, intelligent systems, and data-driven optimization frameworks, all of which highlight his ability to integrate theoretical understanding with real-world applications. He has developed high-level research skills across algorithm development, experimental analysis, data interpretation, and interdisciplinary problem-solving, with strong proficiency in advanced computational tools and analytical techniques that support his innovative academic output. Prof. Nimai Chand Chandra has consistently published in reputable journals and conferences and is noted for his analytical rigor, clarity of research design, and commitment to scientific integrity. He has also contributed to various academic responsibilities, including organizing workshops, contributing to faculty development programs, and guiding student research projects that expand the intellectual environment of the institutions he serves. His awards and honors reflect his achievements in teaching innovation, research productivity, and academic leadership, acknowledging his sustained dedication to the progress of engineering and technology education. His professional strengths include strong teamwork, strategic planning, and the ability to foster collaborative research environments that accelerate knowledge exchange and innovation. As a respected academic, he maintains active involvement in scholarly communities and continues to support transformative research contributions that enhance institutional growth and societal impact. Overall, Prof. Nimai Chand Chandra stands out as a forward-thinking educator and researcher whose persistent efforts, academic achievements, leadership roles, and research excellence collectively demonstrate his valuable impact on the scientific community and reinforce his ongoing potential to contribute meaningfully to progressive research ecosystems at both national and global levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Chandra, N. C. (2025). Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing. International Journal of Computational Intelligence Systems.

  2. Chandra, N. C. (2025). A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. Journal of Grid Computing.

  3. Chandra, N. C. (2024). Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access.

  4. Chandra, N. C. (2024). ProteinCNN-BLSTM: An Efficient Deep Neural Network for Protein Sequence Classification. Computational Intelligence.

  5. Chandra, N. C. (2024). AI-Driven Drowned-Detection System for Rapid Coastal Rescue Operations. Spatial Information Research.

  6. Chandra, N. C. (2024). A Precise Model for Skin Cancer Diagnosis using Hybrid U-Net and Improved MobileNet-V3. Scientific Reports.

  7. Chandra, N. C. (2023). A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems.

 

Nimai Chand Chandra | Atherosclerosis | Best Researcher Award

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Prof. Nimai Chand Chandra | Atherosclerosis | Best Researcher Award

Prof. Nimai Chand Chandra | Atherosclerosis | Professor at SGT University | India

Prof. Nimai Chand Chandra is a distinguished Professor of Biochemistry at SGT University, Gurugram, with a career spanning several decades across premier Indian and international institutions. He completed his Ph.D. at the University of Calcutta, Institute of Post Graduate Medical Education and Research, P.G. Hospital, Kolkata, and pursued postdoctoral research as a Fellow at the University of Notre Dame, USA, followed by a Senior Scientific Research Fellowship at Harvard Medical School, USA. Prof. Chandra has extensive professional experience teaching MBBS, MD, BDS, MDS, M.Sc., BNYS, and Nursing programs while simultaneously leading high-impact research in lipid metabolism, receptor signaling, and molecular mechanisms linking atherosclerosis with carcinogenesis. His research interests include nanoparticle-mediated siLOX delivery, oxLDL-induced stress signaling, cholesterol homeostasis, diabetic and obesity-related metabolic pathways, and the molecular basis of hypertensive and anemic pregnancy. He possesses strong research skills in molecular biology, biochemical assays, cell signaling studies, receptor-receptor interactions, and translational research connecting basic science with clinical outcomes. Prof. Chandra has authored 45 documents, accrued 374 citations, and maintains an h-index of 10, reflecting his scholarly impact. He has received numerous awards and honors for his contributions to biochemistry and molecular medicine and has actively participated in international collaborations and national research projects funded by agencies such as DBT and ICMR. His professional memberships and certifications span leading scientific societies, and he has served in leadership positions across AIIMS New Delhi, AIIMS Patna, Pad. D.Y. Patil Medical College, and SGT University, mentoring students and guiding innovative laboratory research. Prof. Chandra is known for integrating research with patient care, notably in tumor marker laboratories, and fostering scientific communication through publications in reputed journals such as the Indian Journal of Clinical Biochemistry, Cell Biochemistry and Biophysics, and the Journal of Biochemical and Molecular Toxicology. In conclusion, Prof. Nimai Chand Chandra’s career embodies excellence in research, education, and clinical translation. His sustained contributions to understanding cholesterol metabolism, atherosclerosis, diabetes, obesity, and cancer, coupled with his mentorship and leadership, make him a highly influential figure in biomedical sciences, ensuring that his future work will continue to advance global health and scientific discovery.

Profile: ORCID | Scopus

Featured Publications

  1. Chandra, N. C., & Suryan, V. (2025). Indian Journal of Clinical Biochemistry: Carcinogenic link to diabetes, obesity, and atherosclerosis—A focus on differently programmed cholesterol homeostasis. 374 citations

  2. Suryan, V., & Chandra, N. C. (2024). Cholesterol and cytokines: Molecular links to atherosclerosis and carcinogenesis. Cell Biochemistry and Biophysics. 92 citations

  3. Dutta, S., Singhal, A. K., Suryan, V., & Chandra, N. C. (2024). Obesity: An impact with cardiovascular and cerebrovascular diseases. Indian Journal of Clinical Biochemistry. 57 citations

  4. Rastogi, V., Kaushik, N., Singhal, A. K., Yadav, B., Narayan, A., & Chandra, N. C. (2024). Hypertensive pregnancy supports higher adaptation of stress over anemic pregnancy: A pilot study. Indian Journal of Clinical Biochemistry. 41 citations

  5. Bansal, A., Kumar, S., Rai, N., Kumari, S., Kumar, V., Mittal, A., & Chandra, N. C. (2023). A pilot study on blood components in COVID-19 affected subjects: A correlation to UPR signalling and ER-stress. Indian Journal of Clinical Biochemistry. 33 citations

  6. Kumar, S., Rai, N., Bansal, A., Mittal, A., & Chandra, N. C. (2023). A pilot study on COVID-19 positive subjects: Post-infection pro-diabetic disposition and related consequences in correlation to hepato-pancreatic biomarkers and pro-inflammatory cytokines. Indian Journal of Clinical Biochemistry. 29 citations

  7. Chandra, N. C. (2021). A comprehensive account of insulin and LDL receptor activity over the years: A highlight on their signaling and functional role. Journal of Biochemical and Molecular Toxicology. 48 citations

 

Tao Wu | Plasma | Best Researcher Award

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Prof. Dr. Tao Wu | Plasma | Best Researcher Award

Prof. Dr. Tao Wu | Plasma | Professor at Wuhan University of Technology | China

Prof. Dr. Tao Wu is a distinguished physicist and academic leader in the field of optical information engineering and laser-produced plasma physics, currently serving at the School of Optical Information and Energy Engineering, Wuhan Institute of Technology, China. He earned his Doctorate in Optical and Plasma Physics from the Huazhong University of Science and Technology, where he established a strong foundation in plasma diagnostics, laser spectroscopy, and optical materials. Prof. Dr. Tao Wu has made exceptional contributions to extreme ultraviolet (EUV) light sources, nanosecond laser-matter interactions, and photonics-based energy systems, combining theoretical, experimental, and computational approaches. With 45 authored documents, 374 citations, and an h-index of 10, his research has gained significant international recognition. His notable career includes an invited research position at the University College Dublin (Ireland), where he collaborated on advanced optical systems and data-driven modeling of plasma dynamics. His professional experience spans over two decades of active involvement in academic research, supervision, and collaborative scientific development, integrating plasma physics with materials science and applied photonics. Prof. Dr. Tao Wu’s research interests encompass laser-produced plasmas, short-wavelength radiation sources, debris mitigation techniques, and deep learning-based modeling of physical fields, with a focus on applications in semiconductor lithography and renewable energy technologies. His technical expertise includes spectroscopic diagnostics, computational modeling, plasma generation techniques, and optical characterization tools, supported by strong proficiency in analytical simulation and experimental laser instrumentation. In recognition of his scholarly excellence, he has been supported by prestigious funding initiatives such as the Guangdong Major Project of Basic and Applied Basic Research, and has actively participated in multiple international scientific exchanges. Prof. Dr. Tao Wu has received several academic distinctions for his outstanding research and contributions to the optical and plasma science community. His scientific achievements reflect a deep commitment to advancing plasma-based light sources, sustainable photonic innovations, and global research collaboration. Through his leadership, mentorship, and sustained contributions to the scientific community, Prof. Dr. Tao Wu continues to play a vital role in shaping the future of optical energy systems and plasma-driven technologies, fostering innovation that bridges fundamental physics with real-world industrial applications.

Profile: ORCID | Scopus

Featured Publications

  1. Wu, T. (2025). Investigation of debris mitigation in droplet-based terbium plasma sources produced by laser ablation under varying buffer gas pressures. Photonics. — Cited by 8

  2. Wu, T. (2025). Deep learning-based spatiotemporal sequence forecasting of physical fields in tin droplet laser-produced plasma. Plasma Science and Technology.— Cited by 12

  3. Wu, T. (2023). Study of the 6.x nm short wavelength radiation spectra of laser-produced erbium plasmas for BEUV lithography. Plasma Science and Technology. Cited by 21

  4. Wu, T. (2021). An apparent gas permeability model for real gas flow in fractured porous media with roughened surfaces. Polymers. Cited by 33

  5. Wu, T. (2020). Investigation of extreme ultraviolet spectra from highly charged holmium ions in 1 μm laser-produced plasmas. Journal of Physics B: Atomic, Molecular and Optical Physics.  Cited by 42

  6. Wu, T. (2020). A study on soft x-ray spectra from pulsed 1 μm Nd:YAG laser-induced ytterbium plasmas. Plasma Science and Technology.  Cited by 38

  7. Wu, T. (2019). Spectral and plasma dynamics of tin droplet targets irradiated by high-intensity laser pulses for EUV lithography applications. Applied Physics A.  Cited by 44

 

A’aeshah Alhakamy | Visualization | Women Researcher Award

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Assoc. Prof. Dr. A’aeshah Alhakamy | Visualization | Women Researcher Award

Assoc. Prof. Dr. A’aeshah Alhakamy | Visualization | Associate Professor at University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’aeshah Alhakamy is a highly accomplished computer scientist and academic leader whose research bridges Computer Graphics, Computer Vision, Visualization, Imaging, and Extended Reality (XR). She earned her Ph.D. in Computer Science from Purdue University, Indianapolis, USA, where her doctoral work focused on the extraction and integration of physical illumination in dynamic augmented reality environments. Dr. Alhakamy also holds a Master’s degree in Computer Science from Purdue University and a Bachelor’s degree in Computer Science from Taibah University, Saudi Arabia. She currently serves as Associate Professor and Chair of the Computer Science Department at the University of Tabuk, where she has held multiple leadership and research roles including Deputy Supervisor of the Data Governance Unit, Vice Chair of the Executive Committee for Data Management, Erasmus+ Liaison Officer, and Researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center. Her professional experience also includes over a decade of academic service at the University of Tabuk, where she has contributed to developing curricula, leading data governance initiatives, and mentoring students in computer science and AI research. Dr. A’aeshah Alhakamy’s research interests span immersive systems, augmented and virtual reality, artificial intelligence, human-computer interaction, and intelligent visualization systems that enhance industrial, educational, and scientific applications. Her scientific achievements are reflected in numerous high-impact publications in IEEE, ACM Computing Surveys, and other Scopus-indexed journals with significant citation impact. Her scholarly works explore the intersection of XR technologies, machine learning, and human-data interaction, addressing complex computational challenges in Industry 4.0 environments. She has also collaborated with international researchers through programs like Erasmus+, strengthening global research partnerships. Dr. Alhakamy’s technical expertise includes data-driven modeling, real-time visualization, generative networks, and algorithmic optimization, supported by a deep understanding of both theoretical and applied computing principles. Her outstanding contributions have been recognized through multiple national and institutional honors, including several Outstanding Scientific Research Awards from the University of Tabuk, the President’s Award for Research and Innovation, and the National E-Learning Excellence Award. She has also received incentive rewards for high citation performance and excellence in mentoring graduate students. Certified in Supervisory Leadership and Data Management Practices, she continues to contribute to digital transformation in higher education and research. In conclusion, Assoc. Prof. Dr. A’aeshah Alhakamy stands as a leading figure in computer science research and innovation, combining academic excellence, scientific leadership, and global collaboration to advance immersive technologies and artificial intelligence for a smarter, more connected future.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

Alhakamy, A. (2024). Extended Reality (XR) toward building immersive solutions: The key to unlocking Industry 4.0. ACM Computing Surveys. Citations: 39

Alhakamy, A., Alsaiari, A., Rustagi, R., Thomas, M. M., & Forbes, A. G. (2019). Image denoising using a generative adversarial network. Proceedings of the IEEE 2nd International Conference on Information and Computer Technologies. Citations: 84

Trajkova, M., Alhakamy, A., Cafaro, F., & Kankara, S. R. (2020). Move your body: Engaging museum visitors with human-data interaction. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Citations: 51

Alhakamy, A., Alhowaity, A., Alatawi, A. A., & Alsaadi, H. (2023). Are used cars more sustainable? Price prediction based on linear regression. Sustainability, 15(2), 911. Citations: 29

Albalawi, S., Alshahrani, L., Albalawi, N., Kilabi, R., & Alhakamy, A. (2022). A comprehensive overview on biometric authentication systems using artificial intelligence techniques. International Journal of Advanced Computer Science and Applications, 13(4), 1–11. Citations: 39

Trajkova, M., Alhakamy, A., Cafaro, F., Vedak, S., & Mallappa, R. (2020). Exploring casual COVID-19 data visualizations on Twitter: Topics and challenges. Informatics, 7(3), 35. Citations: 27

Alhakamy, A. A., & Tuceryan, M. (2020). Real-time illumination and visual coherence for photorealistic augmented/mixed reality. ACM Computing Surveys (CSUR), 53(3), 1–34. Citations: 25

 

Qiong Ye | Energy Storage | Best Researcher Award

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Dr. Qiong Ye | Energy Storage | Best Researcher Award  

Dr. Qiong Ye | Energy Storage | Postdoctoral Researcher at CY Cergy Paris University | France

Dr. Qiong Ye is an accomplished materials chemist recognized for her extensive research in inorganic chemistry, phase change materials, and energy storage technologies. Her scientific journey demonstrates a blend of theoretical insight and experimental precision in the development of advanced functional materials for sustainable energy applications. Dr. Ye earned her Ph.D. in Inorganic Chemistry from Le Mans Université, France, where she focused on the synthesis, crystallography, and thermodynamic behavior of complex oxide systems. She also completed her Master’s degree in the same institution, building a strong foundation in materials chemistry and thermodynamic studies. Currently, Dr. Qiong Ye serves as a Postdoctoral Researcher at CY Cergy Paris Université, France, where she investigates phase change materials and ionic conductors for thermal management and energy conversion systems. Her professional experience includes prior administrative leadership in Guangdong Meili Matériaux de Construction Ltd., China, where she coordinated R&D projects and material manufacturing processes before transitioning fully into academic research. Dr. Ye’s research interests encompass phase diagram analysis, solid-state chemistry, ionic conductivity, and numerical simulation of energy materials. She is particularly focused on the synthesis and structural characterization of oxide systems that enhance the performance and efficiency of energy storage and conversion devices. Her research skills include solid-state synthesis, X-ray and electron diffraction, impedance spectroscopy, thermal analysis, and computational modeling, complemented by proficiency in scientific software such as HighScore, FullProf, Jana, and Vesta. Dr. Ye’s interdisciplinary expertise bridges chemistry, physics, and materials engineering, contributing to several peer-reviewed publications in reputable journals such as Journal of Solid State Chemistry, Energy and Buildings, and The European Physical Journal Plus. Her works are indexed in Scopus and recognized for their contributions to advancing the understanding of material behavior under thermal and structural transitions. She has been involved in international collaborations promoting energy-efficient materials and sustainable technologies while demonstrating leadership in laboratory management and mentoring young researchers. Dr. Qiong Ye’s career reflects excellence, innovation, and dedication to advancing global energy materials research. Her achievements and continuous contributions to the scientific community make her a deserving candidate for academic recognition and future leadership in the field of materials chemistry.

Profile: ORCID

Featured Publications

Ye, Q. (2025). Experimental and numerical simulation study on the thermal performance of building envelope structures incorporating the solid–solid phase change material. Energy and Buildings. Citations: 12

Ye, Q. (2023). Phase diagram studies on ternary La₂O₃–MoO₃–CaO system. Journal of Solid State Chemistry. Citations: 8

Ye, Q. (2023). Phase diagram studies on ternary La₂O₃–WO₃–CaO system. Journal of Solid State Chemistry. Citations: 7

Ye, Q. (2022). You certainly know the second law of thermodynamics, do you know its connection to other laws of physics and chemistry? The European Physical Journal Plus. Citations: 15

Ye, Q. (2022). Partial re-investigation of the ternary diagram La₂O₃–Nb₂O₅–CaO, synthesis and characterization of the Ca₂La₃Nb₃O₁₄ and Ca₈La₈Nb₁₄.₄□₁.₆O₅₆ compounds. Journal of Solid State Chemistry. Citations: 10

Ye, Q. (2022). Cation-deficient Ca-doping lanthanum tungstate Ca₂.₀₆La₂.₆₁□₀.₃₃W₂O₁₂: Structure and transport property study. Journal of Solid State Chemistry. Citations: 9

Ye, Q. (2021). Investigation of phase change behavior in lanthanum-based oxide systems for energy storage applications. Materials Chemistry and Physics. Citations: 6

Mingyao Liu | Medicine and Health Sciences | Best Researcher Award

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Prof. Mingyao Liu | Medicine and Health Sciences | Best Researcher Award

Prof. Mingyao Liu | Medicine and Health Sciences | Best Researcher Award | Professor | University of Toronto | Canada

Prof. Mingyao Liu, MD, MSc, is an internationally recognized biomedical scientist and academic leader renowned for his pioneering contributions to lung injury, transplantation immunology, and regenerative medicine. He currently serves as the James & Mary Davie Chair in Lung Injury, Repair and Regeneration at the University Health Network and as Director of the Institute of Medical Science at the University of Toronto, where he leads multidisciplinary teams advancing translational research in organ preservation and immunomodulation. Prof. Mingyao Liu obtained his M.D. and M.Sc. in Pathophysiology from the Second Military Medical University in Shanghai, China, followed by an intensive postdoctoral fellowship at the SickKids Research Institute in Toronto, Canada, where he began his journey into molecular mechanisms of lung disease and transplant biology. His professional experience spans decades of leadership roles, including Senior Scientist at the Toronto General Hospital Research Institute and Full Professor in the Department of Surgery at the University of Toronto, with cross-appointments in Medicine and Physiology. Prof. Mingyao Liu’s research interests focus on understanding ischemia-reperfusion injury, immune tolerance in organ transplantation, and cellular mechanisms driving lung regeneration. His laboratory employs advanced molecular biology, gene editing, single-cell transcriptomics, and ex vivo organ perfusion systems to identify therapeutic targets that improve graft survival and repair outcomes. His scientific expertise is further reflected through numerous publications in high-impact journals such as Transplantation, Scientific Reports, NPJ Digital Medicine, and The American Journal of Transplantation. Prof. Mingyao Liu has received multiple prestigious awards, including the Queen Elizabeth II Diamond Jubilee Medal, the Premier’s Research Excellence Award, and the Mel Silverman Mentorship Award, highlighting both his research excellence and commitment to nurturing the next generation of scientists. As a dedicated member of numerous professional societies such as the American Thoracic Society, The Transplantation Society, and the International Society of Heart and Lung Transplantation, he plays a significant role in shaping global biomedical research discourse. Prof. Mingyao Liu’s career reflects a rare combination of innovative science, effective leadership, and lifelong mentorship, making him one of the foremost authorities in lung transplant biology. His continued contributions are shaping the future of regenerative medicine through translational discoveries that bridge laboratory innovation with clinical excellence, reinforcing his position as a global leader dedicated to improving outcomes for patients with severe pulmonary diseases.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

  1. Liu, M. (2025). Permissive immunosuppression facilitates the expansion of ex vivo administered regulatory T cells in the lung allograft. Scientific Reports. 1 citation.

  2. Liu, M. (2025). Ischemia/Reperfusion upregulates genes related to PANoptosis in human lung transplants. Transplantation. 3 citations.

  3. Liu, M. (2025). L-Alanyl-L-Glutamine alleviated ischemia-reperfusion injury and primary graft dysfunction in rat lung transplants. Transplantation. 2 citations.

  4. Liu, M. (2025). Ex vivo delivery of recombinant IL-10 to human donor lungs. JHLT Open. 0 citations.

  5. Liu, M. (2025). Protective effects of 10 °C preservation on donor lungs with lipopolysaccharide-induced acute lung injury. Conference Proceedings. 1 citation.

  6. Liu, M. (2024). Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. NPJ Digital Medicine. 3 citations.

  7. Liu, M. (2024). Ischemia-reperfusion responses in human lung transplants at the single-cell resolution. American Journal of Transplantation. 5 citations.