Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award

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Prof. Dr. Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award

Prof. Dr. Mohamed Abu El-Regal | Biology and Life Sciences | Best Researcher Award | Professor | King Abdulaziz University | Saudi Arabia

Prof. Dr. Mohamed Abu El-Regal is an accomplished marine ecologist and biological oceanographer whose career reflects deep expertise in ichthyoplankton ecology, coral reef biodiversity, larval fish identification, marine ecosystem assessment, and Red Sea environmental dynamics. His academic foundation includes a Ph.D. in Marine Ecology through a joint supervision program between Suez Canal University and the University of Hull, complemented by an M.Sc. and B.Sc. in Marine Science from Suez Canal University, establishing strong grounding in fish larvae biology, coral reef ecology, and marine ecosystem processes. Throughout his career, Prof. Dr. Mohamed Abu El-Regal has held distinguished academic positions, including Professor of Biological Oceanography at Port Said University and Professor in the Marine Biology Department at King Abdulaziz University, where he teaches advanced undergraduate and postgraduate courses, supervises MSc and PhD students, leads academic accreditation processes, coordinates departmental curriculum development, and contributes to institutional academic excellence. His research interests span coral reefs, fish larvae communities, zooplankton ecology, marine pollution assessment, aquaculture ecology, species distribution changes, reef fish taxonomy, and coastal ecosystem management, with extensive field experience involving coral reef surveys, larval fish sampling, marine biodiversity assessment, and statistical analyses using tools such as SPSS and PRIMER. Prof. Dr. Mohamed Abu El-Regal possesses strong research skills including fish larvae identification, coral reef fish taxonomy, ecological modeling, environmental impact evaluation, sample collection, genetic barcoding collaborations, and scientific diving with more than a thousand Red Sea dives contributing to ecological monitoring and marine conservation. His professional excellence is further demonstrated by active participation in numerous international conferences, keynote lectures, and workshops focused on biodiversity, aquaculture, fisheries management, invasive species, and Red Sea environmental challenges. He has earned several honors including keynote speaker recognitions, academic writing certifications, and quality assurance credentials that strengthen his academic leadership. As a reviewer for reputable peer-reviewed journals such as Coral Reefs, Marine Biology, Environmental Ecology of Fishes, and Journal of Applied Ichthyology, he contributes to maintaining high scientific standards. His memberships include the American Fisheries Society, Red Sea environmental protection groups, and multiple marine conservation associations, reflecting his commitment to environmental stewardship. Prof. Dr. Mohamed Abu El-Regal’s impactful contributions to marine science, published research in Scopus-indexed journals, supervision of emerging researchers, and leadership in academic and environmental initiatives highlight his influential role as a marine scientist dedicated to advancing global understanding of marine ecosystems and their conservation.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Abu El-Regal, M. A. (2025). New record of Saurida micropectoralis in the southern Red Sea and evidence of range expansion to East Africa. Fishes.

  2. Abu El-Regal, M. A. (2025). Chemical profiling, cytotoxicity and mode of action of sea urchin Echinometra mathaei exoskeleton extract in HepG2 cancer cell line. Toxin Reviews.

  3. Abu El-Regal, M. A. (2025). Genetic characterization of seven clownfish species using 16S rRNA DNA barcoding from the Jatinegara ornamental fish market. Egyptian Journal of Aquatic Research.

  4. Abu El-Regal, M. A. (2023). Comparative morphology and DNA barcoding of reef fish from Saudi Arabia and Indonesia. Marine Science Studies.

  5. Abu El-Regal, M. A. (2021). Hatching and early development of Holothuria scabra with implications for sea cucumber aquaculture. Marine Biology Research.

  6. Abu El-Regal, M. A. (2018). Ecological studies on zooplankton community structure in the Red Sea at Hurghada. Journal of Aquatic Ecology.

  7. Abu El-Regal, M. A. (2017). Phytoplankton productivity and hydrographic conditions in the Red Sea. Aquatic Environmental Research.

 

Rajabu Simba | Tech Innovations | Innovative Research Award

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Mr. Rajabu Simba | Tech Innovations | Innovative Research Award

Mr Rajabu Simba | Tech Innovations | Innovative Research Award | Health Information Officer | Mount Meru Regional Referral Hospital | Tanzania 

Mr. Rajabu Simba is an emerging Tanzanian scholar and professional in Health Information Science, recognized for his strong academic foundation, practical expertise, and innovative research contributions in the areas of digital health systems, artificial intelligence (AI) in healthcare, and electronic health record (EHR) governance. He currently holds a Bachelor of Science in Health Information Science from the University of Dodoma (UDOM) and an Ordinary Diploma in Health Information Science from the Centre for Educational Development in Health Arusha (CEDHA), Tanzania. His educational background integrates data management, health informatics, and ICT-driven public health strategies. Professionally, Mr. Simba has served as a Health Records and Information Officer, Medical Recorder, and Data Officer at Mount Meru Regional Referral Hospital, Tanzania, where he managed patient data systems, implemented 5S Kaizen improvement processes, and led digital reporting using tools like DHIS2, OpenMRS, and GoT-HoMIS. He has also contributed to academic development as a Part-time Tutor at CEDHA, teaching courses on Data Analysis using Python, Artificial Intelligence, Research Supervision, and ICT Infrastructure Maintenance. His research interests span AI integration in health education, digital policy frameworks for health data systems, and the application of IoT in healthcare service delivery. Skilled in data preprocessing, analysis, and visualization, Mr. Simba combines technical and analytical proficiency with a strong commitment to improving health data systems in developing regions. His research has been published in reputed peer-reviewed journals such as the Journal of Health Organization and Management, Digital Policy, Regulation and Governance, and the Journal of Research in Innovative Teaching & Learning. Mr. Simba’s active participation in international conferences, including the University of Botswana AHILA Congress and the UDOM Scientific Conference on Health, demonstrates his growing global engagement in health informatics discourse. He has been recognized through several prestigious awards, including the Third Winner for Best Abstract Presentation (UDOM USCHe 2025), AHILA Scholarship for International Congress (2023), and the Best Worker of the Year Award (CEDHA, 2022) by the Ministry of Health, Tanzania. As a content editor for AHILA Africa and AHILA Tanzania Chapter, he contributes to knowledge dissemination and professional development within the health information community. In conclusion, Mr. Rajabu Simba exemplifies a new generation of health informatics professionals dedicated to advancing AI-driven healthcare education and policy innovation, demonstrating leadership, research excellence, and an unwavering commitment to improving digital health ecosystems in Africa and beyond.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Mwogosi, A., & Simba, R. M. (2025). Integration of AI into teaching methodologies in health training institutions in Tanzania. Journal of Research in Innovative Teaching & Learning, ahead-of-print.

  2. Mwogosi, A., & Simba, R. M. (2025). Digital policy and governance frameworks for EHR systems in Tanzania: A scoping review. Digital Policy, Regulation and Governance, ahead-of-print.

  3. Mwogosi, A., Simba, R. M., Kayya, A., Abdallah, S., Mkane, P., Lugaba, A., & Hussein, H. (2025). AIIoT integration in Tanzania’s primary healthcare system: A narrative review. Journal of Health Organization and Management, ahead-of-print.

  4. Simba, R. M., & Hussein, H. (2023, October 18). Undergraduate students’ attitude and perception towards learning health information science course. University of Botswana Library (AHILA 2023 Conference).

  5. Mwogosi, A., Haruna, H., & Simba, R. M. (2025). The impact of generative AI on transformative education in developing countries: A systematic literature review. ResearchGate Preprint.

  6. Simba, R. M. (2022). The roles of health information technologists and challenges faced in workplaces. Health Information Science Annual Symposium Proceedings (MWACHAS).

  7. Simba, R. M. (2020). The roles of Health Information Science students in the provision of COVID-19 information. AHILA TZ Online COVID-19 Conference Proceedings.

 

 

SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

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Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award | Director | RVS College of Engineering and Technology | India

Dr. SS Sivaraju is an eminent academician, researcher, and IEEE Senior Member with a distinguished career spanning over three decades in Electrical and Electronics Engineering, encompassing both teaching and industry expertise. He is currently serving as the Director – IQAC and Professor & Head of the Department of Electrical and Electronics Engineering at RVS College of Engineering and Technology, Coimbatore, India, where he plays a pivotal role in institutional quality assurance, academic policy development, and research advancement. Dr. SS Sivaraju obtained his Bachelor of Engineering in Electrical and Electronics Engineering, followed by a Master’s degree in Power Electronics and Drives, and later earned his Doctor of Philosophy (Ph.D.) for his acclaimed research on the “Design of Induction Motor for Optimum Efficiency and Power Factor Using Soft Computing Techniques.” His academic journey reflects an unwavering commitment to innovation, problem-solving, and the advancement of applied electrical engineering. Professionally, Dr. SS Sivaraju has held various academic leadership positions, contributing to curriculum modernization, research collaborations, and faculty development initiatives. His extensive research portfolio includes more than 100 publications in reputed journals indexed in Scopus, Web of Science, and SCI, particularly focusing on energy optimization, smart grids, renewable energy systems, electric vehicles, and AI-driven predictive modeling. His expertise in soft computing, control systems, power electronics, and intelligent automation has contributed to significant advancements in sustainable power management and modern drive systems. Dr. SS Sivaraju is also an active research supervisor, guiding numerous doctoral scholars and postgraduate students toward impactful scientific outcomes. His recognized research skills include advanced modeling, optimization algorithms, data-driven system design, and hardware-in-the-loop testing for smart energy devices. Throughout his career, Dr. SS Sivaraju has received several academic honors and recognitions, including research excellence awards and institutional leadership commendations for his outstanding contributions to teaching, innovation, and academic governance. His IEEE Senior Membership further reflects his international engagement and scholarly influence. In addition, he has participated in numerous conferences, technical committees, and collaborative research projects with global partners, including institutions in Malaysia and the UK. In conclusion, Dr. SS Sivaraju exemplifies excellence in engineering research and education, consistently driving advancements in renewable energy integration, smart grid technology, and intelligent system design. His vision for academic excellence, sustainable innovation, and interdisciplinary collaboration continues to inspire future engineers and researchers across the global scientific community.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Sivaraju, S. S. (2023). Optimized energy management strategy for hybrid renewable systems using soft computing approaches. Energy Reports, 9, 115–124. (Citations: 28)

  2. Sivaraju, S. S. (2022). Design and analysis of induction motor efficiency improvement using fuzzy logic control. Journal of Electrical Systems, 18(3), 450–462. (Citations: 35)

  3. Sivaraju, S. S. (2021). Smart grid optimization through artificial intelligence and IoT integration. International Journal of Electrical Power & Energy Systems, 133, 107270. (Citations: 42)

  4. Sivaraju, S. S. (2020). Modeling and simulation of electric vehicle powertrain using hybrid control algorithms. IEEE Access, 8, 185221–185230. (Citations: 39)

  5. Sivaraju, S. S. (2019). Renewable energy-based distributed generation using adaptive control mechanisms. Renewable Energy, 136, 874–883. (Citations: 46)

  6. Sivaraju, S. S. (2018). Optimization of power factor and energy loss minimization in induction motors via soft computing. Energy Conversion and Management, 171, 1203–1211. (Citations: 53)

  7. Sivaraju, S. S. (2017). Neural network-based fault diagnosis in electric drives for industrial automation. International Journal of Control, Automation and Systems, 15(5), 2134–2145. (Citations: 31)

 

Ibrahim Yahya Hakeem | Engineering and Technology | Best Researcher Award

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Assoc. Prof. Dr. Ibrahim Yahya Hakeem | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr. Ibrahim Yahya Hakeem | Engineering and Technology | Best Researcher Award | Associate Professor | Najran University | Saudi Arabia 

Assoc. Prof. Dr. Ibrahim Yahya Hakeem is a highly accomplished scholar and Associate Professor of Structural Engineering, Building Materials, and Concrete Technology at Najran University, Saudi Arabia, where he has made significant contributions to civil and environmental engineering education and research. He holds a Ph.D. in Civil and Environmental Engineering from King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia, where his doctoral research focused on developing sustainable and high-performance concrete materials. His academic foundation includes an M.Sc. in Civil and Environmental Engineering from KFUPM and a B.Sc. in Civil Engineering from Aden University, Yemen, both earned with high distinction and multiple honors. Over the years, Assoc. Prof. Dr. Ibrahim Yahya Hakeem has built an impressive professional career marked by excellence in teaching, research, and institutional leadership. He currently serves on several key committees at Najran University, including the Supreme Standing Committee for Renewing Institutional Accreditation, the Standing Committee for Program Accreditation, and the Executive Committee for Monitoring the Quality of Teaching and Learning. His professional expertise encompasses structural design, ultra-high-performance concrete (UHPC), sustainable construction materials, fiber-reinforced composites, and the use of industrial and agricultural waste for green concrete development. His active research projects—funded by national and institutional bodies—focus on eco-friendly, high-strength concrete formulations, advancing environmental sustainability in the construction sector. Assoc. Prof. Dr. Ibrahim Yahya Hakeem has demonstrated remarkable research skills in experimental design, finite element modeling, and materials characterization, complemented by his leadership as Principal Investigator in more than twenty funded projects. His strong publication record includes articles in high-impact journals indexed in Scopus, IEEE, and other prestigious databases, alongside patented innovations such as the “Flexural Hybrid Span Beam” and developments in sustainable ultra-high-performance concrete. His international collaborations with institutions like KFUPM and partnerships with industrial entities such as SABIC reflect his ability to integrate research, application, and innovation effectively. Recognized among the Top 2% World Scientists in Construction by Stanford University, Dr. Hakeem has also served as a certified academic reviewer for the National Center for Academic Accreditation and Evaluation (NCAAA). His numerous academic honors, leadership positions, and professional memberships underscore his ongoing commitment to academic excellence, sustainability, and research-driven education. In conclusion, Assoc. Prof. Dr. Ibrahim Yahya Hakeem stands out as a visionary academic leader whose sustained research productivity, innovative contributions, and institutional service continue to influence the global field of structural and materials engineering, promoting environmentally responsible construction practices and advancing engineering education standards worldwide.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Hakeem, I. Y. (2025). Date palm fibers (from Najran city) as reinforcement in UHPC: Design, performance, and microstructural analysis. AIP Advances.

  2. Hakeem, I. Y. (2025). Flexural performance and ductility of UHPC incorporating Najran City’s lathe waste powder (LWP) for substitution of cement. Innovative Infrastructure Solutions.

  3. Hakeem, I. Y. (2025). Sustainable high strength polymer concrete with high ratios of recycled aggregate from different decades under heat curing. Revista Materia.

  4. Hakeem, I. Y. (2024). Corrigendum to “Experimental investigation and analytical verification of buckling of functionally graded carbon nanotube-reinforced sandwich beams.” Heliyon, 10(8), e28388.

  5. Hakeem, I. Y. (2023). Application of waste ceramic powder as a cement replacement in reinforced concrete beams toward sustainable usage in construction. Case Studies in Construction Materials, 19, e02444.

  6. Hakeem, I. Y. (2023). Effects of glass fiber on recycled fly ash and basalt powder-based geopolymer concrete. Case Studies in Construction Materials, 19, e02659.

  7. Hakeem, I. Y. (2014). Ultra-high performance concrete reinforcement bars. U.S. Patent Publication No. US20140190113A1.

 

Geamel Alyami | Engineering and Technology | Best Researcher Award

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Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award

Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award | Associate Research Professor | King Abdulaziz City for Science and Technology | Saudi Arabia 

Dr. Geamel Alyami is a distinguished researcher and engineer specializing in Electrical and Communication Engineering, currently serving at the National Center for Communication Systems and Command and Control Technology within the King Abdul-Aziz City for Science and Technology (KACST), Saudi Arabia. He obtained his Doctor of Science in Electrical Engineering from the Florida Institute of Technology in the United States, where he also earned his Master of Science degree. His academic foundation was laid at the University of Central Florida with a Bachelor of Science in Electrical Engineering, followed by a Diploma in Telecommunication from the Telecommunication and Information College in Jeddah. Throughout his career, Dr. Geamel Alyami has cultivated an extensive background in wireless communication systems, Massive MIMO technology, phased array antennas, and machine learning applications in telecommunication research. His research interests focus on 6G technologies, millimeter-wave communication, channel modeling, predictive antenna systems, and high-efficiency signal processing frameworks that aim to transform global communication infrastructures. With a strong commitment to scientific advancement, Dr. Alyami has contributed to several IEEE-indexed and peer-reviewed international journals and conferences, showcasing impactful work in areas such as multiuser separation, spatial channel modeling, and linear precoding for next-generation communication networks. His technical proficiency includes advanced software and programming tools such as MATLAB, Quartus II, PSpice, VHDL, Verilog HDL, and Microwave Studio, which he effectively integrates into his experimental and theoretical research frameworks. Professionally, Dr. Alyami has accumulated rich industrial and academic experience, having worked with Detecon Al Saudia Co. (DETASAD) as a Transmission SDH/TV Technician, gaining hands-on expertise in telecommunication systems installation, testing, and network optimization. His leadership extends beyond research, as he has actively participated in volunteer and academic communities, including IEEE, Phi Kappa Phi Honor Society, and the Center of Excellence for Telecommunication Applications (CETA). Recognized for his academic excellence, he has been featured on the Dean’s List and received honors from professional engineering societies. Dr. Geamel Alyami’s current research integrates machine learning and predictive modeling for smart THz antennas in 6G systems, reflecting his forward-looking vision for the future of telecommunication engineering. With fluency in Arabic and English and a working knowledge of Spanish, he brings a global perspective to collaborative projects. His unwavering dedication to innovation, leadership, and excellence in communication research underscores his continuing contributions to advancing scientific knowledge and promoting sustainable technology growth in the global research community.

Profile:  Scopus | Google Scholar

Featured Publications 

  1. Alyami, G., & Kostanic, I. (2016). On the spatial separation of multiuser channels using 73 GHz statistical channel models. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 12

  2. Alyami, G., Kostanic, I., & Ahmad, W. (2016). Multiuser separation and performance analysis of millimeter wave channels with linear precoding. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 15

  3. Alyami, G., & Kostanic, I. (2016). A low complexity user selection scheme with linear precoding for Massive MIMO systems. IAENG International Journal of Computer Science, 43(3). Citations: 20

  4. Alyami, G., Kostanic, I., & Ahmad, W. (2017). Performance modeling and analysis of millimeter-wave MIMO systems using linear precoding techniques. IEEE Transactions on Wireless Communications. Citations: 25

  5. Alyami, G., & Kostanic, I. (2018). Channel modeling and signal optimization for next-generation millimeter-wave communications. IEEE Access, 6, 12455–12464. Citations: 30

  6. Alyami, G., & Ahmad, W. (2019). Machine learning-assisted beamforming optimization in massive MIMO networks. IEEE Communications Letters, 23(12), 2245–2249. Citations: 35

 

 

Mehdi Shanbedi | Engineering and Technology | Best Researcher Award

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Assist. Prof. Dr Mehdi Shanbedi | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Mehdi Shanbedi | Engineering and Technology | Best Researcher Award | Chemical Engineering Department | Kherad Institute of Higher Education | Iran

Assist. Prof. Dr Mehdi Shanbedi is a distinguished chemical engineering researcher whose work spans advanced nanomaterials, nanofluid engineering, heat and mass transfer, microfluidics, biotechnology, and desalination systems, establishing Him as a leading figure in multidisciplinary materials science and thermal-fluid research. He holds a Ph.D. in Chemical Engineering from Ferdowsi University of Mashhad, where His doctoral research focused on synthesizing nanofluids based on covalently and non-covalently functionalized carbon nanostructures for advanced heat transfer applications. His academic foundation further includes an M.Sc. in Chemical Engineering from the same institution and a B.Sc. from Azad University of Gachsaran, forming a strong technical base for His later scientific contributions. Professionally, Assist. Prof. Dr Mehdi Shanbedi has served as an Assistant Professor at Kherad Institute of Higher Education, contributing extensively to postgraduate education through courses in advanced heat transfer, thermodynamics, fluid mechanics, reactor design, and engineering mathematics. Beyond academia, He co-founded Vira Carbon Nano Materials (VCN Materials) Co. Ltd., spearheading innovations in nanomaterial production and industrial applications. His research interests include the synthesis and functionalization of graphene, MXene, carbon nanotubes, and quantum dots; development of high-performance nanofluids for enhanced heat transfer; desalination engineering; biofluid dynamics; antimicrobial materials; and energy-storage-related advanced materials. His research skills cover experimental and numerical modeling of thermal and hydrodynamic systems, nanostructure fabrication, material characterization, fluid–structure analysis, and biotechnology techniques including microbial studies and biomolecule extraction. Assist. Prof. Dr Mehdi Shanbedi has supervised and co-supervised numerous M.Sc. theses, contributing to talent development in chemical and materials engineering. His awards include recognition as a top researcher at Ferdowsi University of Mashhad, top elite at the National Elites Foundation, recipient of research scholarships, and winner of the best thesis award from the Iranian Association of Chemical Engineering, along with being acknowledged as a top entrepreneur in Bushehr state. His publication record includes highly cited ISI and Scopus-indexed papers focused on nanofluids, graphene-based systems, energy conversion, and advanced heat transfer technologies, strengthening His reputation in the global scientific community. With significant contributions to interdisciplinary engineering solutions, strong citation metrics, leadership in academic and industrial research, and continuous advancement of nanomaterial applications for energy and environmental systems, Assist. Prof. Dr Mehdi Shanbedi continues to drive impactful scientific progress, demonstrating clear potential for further innovation and international research leadership.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

  1. Shanbedi, M., Zeinali Heris, S., Baniadam, M., Amiri, A., & Maghrebi, M. (2012). Investigation of heat-transfer characterization of EDA-MWCNT/di-water nanofluid in a two-phase closed thermosyphon. Industrial & Engineering Chemistry Research. Citations: 1423

  2. Shanbedi, M., Zeinali Heris, S., Baniadam, M., & Amiri, A. (2013). The effect of multi-walled carbon nanotube/water nanofluid on thermal performance of a two-phase closed thermosyphon. Experimental Heat Transfer. Citations: 26

  3. Shanbedi, M., Zeinali Heris, S., Amiri, A., Eshghi, H., & Hosseinipour, E. (2015). Synthesis of aspartic acid-treated multi-walled carbon nanotubes based water coolant and investigation of thermal and hydrodynamic properties. Energy Conversion and Management. Citations: 1366

  4. Amiri, A., Shanbedi, M., Ahmadi, G., Eshghi, H., Kazi, S. N., & Chew, B. T. (2016). Mass production of highly-porous graphene for high-performance supercapacitors. Scientific Reports. Citations: 32686

  5. Amiri, A., Shanbedi, M., Zeinali Heris, S., Kazi, S. N., & Chew, B. T. (2015). Laminar convective heat transfer of hexylamine-treated MWCNTs-based turbine oil nanofluid. Energy Conversion and Management. Citations: 355

  6. Amiri, A., Sadri, R., Shanbedi, M., Ahmadi, G., Kazi, S. N., & Chew, B. T. (2015). Microwave-assisted synthesis of nitrogen-doped graphene for high-performance electrodes in capacitive deionization. Scientific Reports. Citations: 17503

  7. Amiri, A., Ahmadi, G., Shanbedi, M., Etemadi, M., & Zubir, M. N. (2017). Transformer oils-based graphene quantum dots nanofluid as a new generation of coolant. International Communications in Heat and Mass Transfer. Citations: 40

 

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