Bahareh Heidary | Energy | Women Researcher Award

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Dr. Bahareh Heidary | Energy | Women Researcher Award

Assistant Professor | University of Tehran | Iran

Dr. Bahareh Heidary is an emerging scholar at the University of Tehran, Iran, recognized for her interdisciplinary contributions to sustainable development, water governance, and agricultural policy research. With 6 published documents, 103 citations, and an h-index of 4, she has built a growing academic footprint focused on understanding the socio-environmental challenges faced by farming communities. Her research examines how individual, social, and institutional characteristics shape adaptive capacity in response to water and energy crises, emphasizing evidence-based approaches to enhance resilience in resource-scarce environments. Dr. Heidary’s 2025 open-access article in Water Policy, “Examining the impact of farmers’ individual and social characteristics on enhancing adaptive capacity to water and energy crises,” demonstrates her methodological rigor and commitment to addressing real-world sustainability issues through empirical analysis. She frequently collaborates with national and international researchers, integrating perspectives from environmental management, rural livelihoods, social sciences, and resource economics to generate holistic insights relevant to policymakers, water management institutions, and development agencies. Her work contributes significantly to global conversations on climate adaptation, sustainable agricultural systems, and equitable resource management. By identifying key behavioral and community-level drivers of adaptive decision-making, Dr. Heidary provides practical guidance for designing resilience-oriented policies and supporting vulnerable rural populations. Her emerging scholarship reflects both academic excellence and societal relevance, positioning her as a promising researcher dedicated to advancing sustainable and resilient solutions at the intersection of environmental change, agriculture, and community development.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

Heidary, B., Hassan-Beygi, S. R., Ghobadian, B., & Taghizadeh, A. (2013). Vibration analysis of a small diesel engine using diesel–biodiesel fuel blends. Agricultural Engineering International: CIGR Journal, 15(3), 117–126. Cited by: 65

Heidary, B., Hashjin, T. T., Ghobadian, B., & Roshandel, R. (2018). Optimal integration of small-scale hybrid solar–wind RO–MSF desalination system. Renewable Energy Focus, 27, 120–134. Cited by: 55

Akbarnia, A., Farhani, F., & Heidary, B. (2013). Economic comparison of tillage and planting operations in three tillage systems. Agricultural Engineering International: CIGR Journal, 15(4), 180–184. Cited by: 13

Heidary, B., Hassan-Beygi, S. R., & Ghobadian, B. (2013). Investigating a power tiller vibration transmissibility using diesel–biodiesel fuel blends under stationary conditions. Journal of Mechanical Engineering and Technology (JMET), 5(1). Cited by: 12

Heidary, B., Hashjin, T., Ghobadian, B., & Roshandel, R. (2019). Performance analysis of hybrid solar–wind RO–MSF desalination system. Resource-Efficient Technologies. Cited by: 10

Eman Ayman Nada | Environmental Applications | Best Researcher Award

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Dr. Eman Ayman Nada | Environmental Applications | Best Researcher Award

Ministry of Health | Tanta University | Egypt

Dr. Eman Ayman Nada is a highly motivated pharmaceutical researcher with a strong foundation in clinical and pharmaceutical sciences, holding a Bachelor’s degree in Pharmaceutical Sciences from Tanta University, where she graduated with distinction in 2022. She currently serves as a researcher at the Medical Research Group of Egypt (MRGE) in Arlington, USA, where she has successfully led and co-authored several systematic reviews and meta-analyses published in reputable journals such as Discover Medicine, Cureus, and BMC Psychology. Her professional journey includes diverse roles as a hospital pharmacist at Kafr Saad Central Hospital and a medical representative at UNIPHARMA, through which she developed strong communication, analytical, and clinical decision-making skills. With extensive training from international programs including Negida Academy, MARS London, and Egypt Scholar Labs, Dr. Nada has gained expertise in clinical research design, data analysis using SPSS and RevMan, and scientific writing. Her research interests lie in pharmacology, evidence-based medicine, clinical trial methodology, and meta-analysis, with a focus on improving therapeutic outcomes and healthcare practices. She has contributed to collaborative international projects such as the TASMAN Collaborative and Self-Medication Group, addressing global health challenges like opioid use and self-medication practices. Recognized for her leadership, she headed the Scientific Committee at Tanta Student Research Academy, organizing research training for hundreds of students. Her technical proficiency includes advanced statistical software, while her language abilities extend to English and Japanese. Throughout her academic and research career, Dr. Nada has received multiple honors for her scientific contributions and conference presentations. Her dedication to continuous learning, scientific rigor, and global collaboration reflects her commitment to advancing pharmaceutical research and healthcare innovation through evidence-based approaches and multidisciplinary teamwork.

Profiles: Google Scholar | Scopus | ORCID 

Featured Publications

1. Ali, H. T., Barakat, M., Abdelhalim, A. R., Al-Kurd, I. N., Muhammad, M. K. E., Nada, E. A., et al. (2024). Unravelling the dilemma of self-medication in Egypt: A cross-sectional survey on knowledge, attitude, and practice of the general Egyptian population. BMC Public Health, 24(1), 1–15. Citations: 13

2. TASMAN Collaborative, Gaborit, L., Kalyanasundaram, K., Vu, J., Basam, A., Nada, E. A., et al. (2024). Patterns of opioid use after surgical discharge: A multicentre, prospective cohort study in 25 countries. Anaesthesia. Citations: 12

3. TASMAN Collaborative, Nada, E. A., et al. (2024). Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: Multispecialty, prospective cohort study in 25 countries. British Journal of Surgery, 111(1), znad421. Citations: 7

4. Hammed, A., Al-Qiami, A., Alzawahreh, A., Rosenbauer, J., Nada, E. A., Otmani, Z., et al. (2025). Comparative effectiveness of intravenous thrombolysis plus mechanical thrombectomy versus mechanical thrombectomy alone in acute ischemic stroke: A systematic review and meta-analysis. Cerebrovascular Diseases, 54(4), 603–616. Citations: 2

5. Hendawy, M., Abouzid, M., Gamal, A., Ghanayem, A., Amer, M., Tanashat, M., Nada, E. A., et al. (2024). Psychological distress among students in Egypt and Jordan during the initial months of the Gaza war. BMC Psychology, 12(1), 678. Citations: 2

 

Bhawna Yadav Lamba | Energy | Best Researcher Award

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Prof. Dr. Bhawna Yadav Lamba | Energy | Best Researcher Award

Professor | University of Petroleum and Energy Studies| India

Prof. Dr. Bhawna Yadav Lamba, currently serving as Professor of Chemistry at the University of Petroleum and Energy Studies (UPES), Dehradun, is an accomplished academic and researcher whose expertise lies in sustainable energy and environmental chemistry, with specific focus on biofuels, wastewater management, and plastic waste valorization. She earned her Ph.D. in Chemistry from H.N.B. Garhwal University in 2010, following a Master’s in Polymer Technology from Delhi College of Engineering (2004), an M.Sc. in Organic Chemistry (2000), and a B.Sc. in Chemistry, Botany, and Zoology from DAV (PG) College, Dehradun (1998). With more than two decades of teaching and research experience at UPES since 2004, she has developed and delivered courses in Chemistry, Polymer Materials, and Applied Sciences while mentoring students and training industry professionals. Her research interests include biodiesel preparation and optimization, microalgae-mediated wastewater reclamation coupled with bio-oil and biogas production, and conversion of plastic waste—including municipal plastics and COVID-19 PPE—into alternative fuels such as Plasto-oil. Skilled in experimental chemistry, analytical techniques, interdisciplinary collaborations, and advanced computational approaches, she has contributed to high-impact publications in globally recognized journals such as Journal of Analytical and Applied Pyrolysis, International Journal of Hydrogen Energy, Journal of Materials Chemistry A, and Food Chemistry, with her work widely indexed in Scopus, IEEE, and other reputed platforms. Dr. Lamba’s outstanding contributions have been recognized through numerous awards, including the S.R. Bhatnagar Memorial Research Award (2023–24), Young Scientist Award (2023), IGEN Women Achiever Award (2021), and multiple Best Paper and R&D recognitions, along with consistent acknowledgment as an inspiring teacher. Beyond academia, she has coordinated CSR initiatives like Abhilasha, reinforcing her commitment to community development. With her strong academic foundation, impactful research outputs, and international collaborations, Prof. Lamba continues to advance sustainability, environmental resilience, and green chemistry, making her a deserving candidate for recognition and a role model for future scientific leadership.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Raj, T., Kapoor, M., Gaur, R., Christopher, J., Lamba, B., Tuli, D. K., & Kumar, R. (2015). Physical and chemical characterization of various Indian agriculture residues for biofuels production. Energy & Fuels, 29(5), 3111–3118. Cited by: 258

  2. Joshi, G., Rawat, D. S., Lamba, B. Y., Bisht, K. K., Kumar, P., Kumar, N., & Kumar, S. (2015). Transesterification of Jatropha and Karanja oils by using waste egg shell derived calcium based mixed metal oxides. Energy Conversion and Management, 96, 258–267. Cited by: 178

  3. Sharma, M., Jain, S., & Lamba, B. Y. (2020). Epigrammatic study on the effect of lockdown amid Covid-19 pandemic on air quality of most polluted cities of Rajasthan (India). Air Quality, Atmosphere & Health, 13(10), 1157–1165. Cited by: 66

  4. Rawat, D. S., Joshi, G., Lamba, B. Y., Tiwari, A. K., & Kumar, P. (2015). The effect of binary antioxidant proportions on antioxidant synergy and oxidation stability of Jatropha and Karanja biodiesels. Energy, 84, 643–655.
    Cited by: 60

  5. Rawat, D. S., Joshi, G., Lamba, B. Y., Tiwari, A. K., & Mallick, S. (2014). Impact of additives on storage stability of Karanja (Pongamia Pinnata) biodiesel blends with conventional diesel sold at retail outlets. Fuel, 120, 30–37. Cited by: 53

Ya Su | Energy | Best Researcher Award

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Dr. Ya Su | Energy | Best Researcher Award

Doctoral Student at Nanchang University | China

Ya Su is a dedicated early-career researcher with expertise in financial statistics, regional industrial economics, and the green economy. Her academic journey reflects both strong theoretical foundations and practical applications in addressing pressing global challenges such as energy efficiency, sustainable finance, and climate-related economic risks. As a researcher, she has authored and co-authored several peer-reviewed journal articles, including publications in Applied Economics and the Journal of Cleaner Production, showcasing her ability to contribute to both high-impact international outlets and influential domestic journals. She has also presented at major finance conferences, earning awards that recognize the originality and impact of her work. Beyond publications, Ya Su actively contributes to funded projects at national and provincial levels, aligning her research with practical policy and industrial needs. Combining academic rigor, applied research, and teaching experience, she exemplifies the qualities of a researcher who is not only advancing scholarship but also influencing sustainable economic development.

Professional Profiles

Scopus Profile | ORCID Profile 

Education

Ya Su is currently pursuing a Ph.D. in Statistics at Nanchang University, where she focuses on advanced research in financial statistics, green economy, and industrial economics under the mentorship of Prof. Peng Diyun. Her doctoral studies are complemented by an earlier M.A. degree in International Trade and a B.A. degree in E-commerce, both from Jiangxi University of Finance and Economics. These diverse academic backgrounds have provided her with strong interdisciplinary knowledge, blending economics, finance, trade, and data analytics. Throughout her studies, she has consistently demonstrated academic excellence, achieving high scores in challenging courses such as econometrics, mathematical statistics, and financial risk management. This progression from undergraduate to doctoral research highlights her commitment to academic growth and intellectual curiosity. Her solid grounding in both theory and application equips her to contribute innovative solutions to issues at the intersection of economics and sustainability, making her education a strong foundation for impactful research.

Experience

Ya Su’s experience spans academic research, teaching, and practical industry applications, reflecting her versatility and professional growth. In research, she has actively contributed to funded projects, including national social science initiatives and provincial-level studies on enterprise development, showcasing her capacity to address real-world economic and financial issues. Her work extends to publishing as first author and corresponding author in international and domestic journals, reflecting independence and leadership. In academia, she has served as a teaching assistant and part-time lecturer, delivering courses in network marketing and mobile commerce, where she earned high evaluations for her teaching effectiveness. These roles have honed her ability to communicate complex ideas clearly and engage with students meaningfully. Beyond academia, she gained industry exposure through her internship at Jiujiang Bank, where she analyzed investment products, prepared reports, and ranked first in internship performance. Collectively, her experiences demonstrate a well-rounded researcher with both scholarly and applied expertise.

Research Interests

Ya Su’s research interests lie at the nexus of finance, sustainability, and economic development, with a strong focus on advancing understanding in financial statistics, regional industrial economics, and the green economy. She is particularly interested in exploring how green finance policies, government interventions, and open data initiatives can drive energy efficiency and reduce carbon emissions. Her work also investigates the impact of digital inclusive finance on agricultural and industrial resilience, providing empirical insights into how technology-enabled finance supports sustainable growth. By combining advanced statistical modeling with applied economic analysis, she bridges theoretical frameworks and real-world policy needs. Furthermore, she has a growing interest in climate-related economic risks and how financial systems can adapt to mitigate long-term vulnerabilities. This interdisciplinary approach not only contributes to academic discourse but also provides valuable perspectives for policymakers, businesses, and global initiatives seeking to balance economic progress with environmental sustainability.

Awards and Honors

Ya Su has been recognized for her academic excellence and research contributions through multiple awards and honors at national finance conferences. She earned a Second Prize at the China Regional Finance Annual Conference and a Third Prize at another prestigious national forum, reflecting the originality and impact of her scholarly work. These accolades highlight her ability to present complex research ideas effectively and gain acknowledgment from the broader academic community. Her contributions also extend to textbook writing, where she co-authored chapters on public economics and sci-tech finance, further demonstrating her academic engagement. Additionally, her teaching excellence has been acknowledged through positive evaluations during her lectures at vocational colleges, where she successfully combined theory with practical applications. Collectively, these achievements underscore her potential as a rising researcher who not only excels in scholarly pursuits but also contributes meaningfully to academic communities and educational development.

Research Skills

Ya Su possesses a comprehensive set of research skills that enable her to address complex issues in economics, finance, and sustainability with precision and innovation. She is highly proficient in advanced econometrics, mathematical statistics, and data analysis, allowing her to design and implement robust quantitative studies. Her ability to work with large datasets and apply sophisticated statistical models has been instrumental in producing high-quality publications in international journals. She also demonstrates strong academic writing and analytical skills, enabling her to convey findings clearly and persuasively to diverse audiences. Beyond technical expertise, Ya Su excels in collaborative research, having participated in multidisciplinary projects at national and provincial levels. She shows initiative as both first and corresponding author, reflecting independence and leadership in scholarly work. Her skills further extend to teaching, project management, and practical financial analysis, making her a versatile researcher prepared to contribute across academic, policy, and industry settings.

Publication Top Notes

Title: The impact of greening the tax system on the energy consumption structure: de-capacity or pollution migration?
Authors: Su, Y., Peng, D., Deng, Y., et al.
Year: 2025
Journal: Applied Economics, 1-19. (SSCI, JCR Q2)

Title: The impact of government open data on firms’ energy efficiency: Analyse the mediating role of capacity utilization and biased technological progress
Authors: Su, Y., Peng, D., Wang, Y., et al.
Year: 2025
Journal: Energies, 18, 4626. (SCI, CAS Q4)

Title: The nonlinear impact mechanism of digital inclusive finance on agricultural resilience: Concurrent analysis of the threshold effect of agricultural production risk
Authors: Peng, D., Su, Y., & Feng, Y.
Year: 2025
Journal: China Population, Resources and Environment, 35(01), 205-219. (CSSCI)

Title: Import impact, servitization, and employment effects in manufacturing
Authors: Xiao, T., & Su, Y.
Year: 2023
Journal: Journal of Guizhou University of Finance and Economics, (01), 11-21. (CSSCI)

Title: Green finance, continuous green innovation in SMEs, and regional carbon emissions
Authors: Peng, D., Su, Y., & Deng, Y.
Year: 2024
Journal: Finance and Economy, (07), 14-24. (Chinese Core Journal)

Title: Green finance and enterprise total factor energy efficiency: Influence mechanism and empirical test
Authors: Wang, Y., Shi, M., Luo, M., & Su, Y.
Year: 2024
Journal: Contemporary Economic Research, (08), 114-128. (CSSCI)

Title: Research on the impact of digital inclusive finance on regional carbon emissions: Based on the sustainable green innovation of small and medium-sized enterprises
Authors: Wang, Y., Zhao, Z., Zhang, S., & Su, Y.
Year: 2023
Journal: Journal of Cleaner Production, 428(20), 139513. (SSCI, CAS Q1)

Conclusion

Overall, Ya Su is a highly suitable candidate for the Best Researcher Award. Despite being an early-career Ph.D. student, she has already achieved an impressive track record of publications in reputed international journals, active participation in research projects, and recognition through academic awards. Her work on green finance, sustainable economic development, and digital finance’s role in resilience demonstrates both societal impact and academic excellence. With her clear trajectory of growth, strong quantitative skills, and dedication to research and teaching, she is well-positioned to make substantial contributions to the global research community.

Amir Ismail | Energy | Best Researcher Award

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Dr. Amir Ismail | Energy | Best Researcher Award

Geophysics at Helwan University, Egypt

Dr. Amir Ismail is a distinguished geophysicist with over 14 years of experience in seismic data analysis, rock physics, and machine learning applications in subsurface imaging. He earned his Ph.D. in Geophysics from Helwan University, with joint supervision in Italy, and currently serves as an Assistant Professor and Program Director at Helwan University. His research integrates advanced seismic techniques with AI to explore hydrocarbon reservoirs, resulting in numerous high-impact publications in leading journals. Dr. Ismail has received multiple prestigious awards, including the Best Scholar Prize and Research Excellence Award, and has guided student teams to global finalist positions in international competitions. He has co-supervised over 14 graduate students and contributes as a peer reviewer to renowned journals. Through international collaborations, Fulbright research, and active community service, Dr. Ismail demonstrates academic leadership and global impact. His outstanding contributions make him a strong contender for the Best Researcher Award.

Professional Profile 

Education🎓

Dr. Amir Ismail has a solid and internationally enriched educational background in geophysics and seismology. He earned his Ph.D. from Helwan University, Egypt, in 2020, with a dissertation focused on neural network techniques and seismic attributes in the West Offshore Nile Delta. His doctoral journey included a joint supervision program as a visiting Ph.D. student at the RISSC Lab, Department of Physics “E. Pancini,” Università Degli Studi di Napoli “Federico II,” Italy, from 2018 to 2020, providing him with valuable international research exposure. He previously obtained his M.Sc. in Geophysics and Seismology in 2013 from Helwan University, focusing on seismic stratigraphic analysis and petroleum exploration. His academic foundation began with a B.Sc. in Geophysics from the same institution in 2007. This rigorous and progressive education, coupled with cross-cultural academic experiences, has equipped Dr. Ismail with both theoretical depth and practical research skills essential for innovation in geophysical sciences.

Professional Experience📝

Dr. Amir Ismail possesses extensive professional experience in academia, research, and industry. He currently serves as an Assistant Professor of Geophysics at Helwan University, where he also directs the Petroleum and Mineral Sciences Program. In this leadership role, he oversees academic planning, program development, faculty coordination, and strategic collaborations with key stakeholders in Egypt’s energy and mining sectors. Dr. Ismail also acts as a Technical Consultant for EREX Petroleum Consultants, contributing applied expertise to the oil and gas industry. His international experience includes serving as a Fulbright Scholar and Research Associate at Texas A&M University-Corpus Christi and as a visiting post-doctoral researcher at the University of Naples Federico II in Italy. Earlier in his career, he worked as a Teaching Assistant at Helwan University. His roles have encompassed academic instruction, fieldwork coordination, and collaborative research, demonstrating a blend of scientific excellence, leadership, and applied geophysical problem-solving across diverse environments.

Research Interest🔎

Dr. Amir Ismail’s research interests lie at the intersection of geophysics, seismic data analysis, and machine learning, with a strong focus on hydrocarbon exploration and subsurface characterization. He specializes in seismic data processing, rock physics, and quantitative reservoir analysis, integrating geological, petrophysical, and AI-driven methods to interpret complex subsurface frameworks. His expertise includes the detection of geological features such as gas channels, chimneys, and lithologies using advanced seismic techniques like AVO analysis, seismic inversion, and multi-attribute interpretation. Dr. Ismail has worked extensively with global onshore and offshore datasets from Egypt, Libya, Italy, and Australia, making significant contributions to understanding reservoir architecture and hydrocarbon potential. His ongoing research emphasizes machine learning applications in geoscience, particularly in seismic imaging and facies classification. This multidisciplinary approach enhances the accuracy and efficiency of exploration processes, reflecting his commitment to advancing energy resource development through innovation and scientific integration.

Award and Honor🏆

Dr. Amir Ismail has received several prestigious awards and honors in recognition of his outstanding academic and research contributions. He was awarded the Best Scholar Prize (2022–2023) by Helwan University for his exceptional scholarly achievements across the institution. He also received the Research Excellence Award (2020–2021) for his outstanding Ph.D. research in geophysics. As a dedicated mentor, he has guided student teams to global recognition, including serving as Faculty Advisor for the SEG Evolve Team (2024), which was selected as a Top Finalist and will present at IMAGE in Houston, Texas, and for the Laurie Dake Challenge Team (2022), which placed among the Top Six Global Finalists in Vienna, Austria. Additionally, he has led Helwan University’s Imperial Barrel Award (IBA) teams to secure second place in the Africa Region twice. These accolades highlight Dr. Ismail’s excellence in research, mentorship, and global engagement in the geoscience community.

Research Skill🔬

Dr. Amir Ismail possesses advanced research skills that span a wide spectrum of geophysical and interdisciplinary domains. He is highly proficient in seismic data interpretation, quantitative reservoir characterization, and rock physics, with specialized expertise in integrating machine learning techniques into geoscientific workflows. His capabilities include AVO analysis, seismic inversion, and the use of multi-attribute analysis to detect complex geological features such as gas chimneys and channel systems. Dr. Ismail is skilled in handling large-scale subsurface datasets from various global regions and excels in applying computational tools and programming languages such as Python, Petrel, Techlog, OpendTect, and Hampson Russell. He has successfully led and contributed to research projects involving 2D/3D seismic imaging, basin modeling, and facies classification. His experience as a peer reviewer for top-tier journals and his mentorship of graduate students further underline his analytical rigor, technical acumen, and collaborative approach, making him a well-rounded and impactful scientific researcher.

Conclusion💡

Dr. Amir Ismail is a highly qualified and distinguished candidate for the Best Researcher Award. His multi-dimensional expertise—spanning advanced geophysical modeling, machine learning, academic leadership, and international collaboration—reflects excellence in both research and educational contributions. With his growing research portfolio, international recognition, and commitment to scientific advancement, he exemplifies the core values of this award. Minor expansions in first-author outputs and broader interdisciplinary applications would further elevate his already impressive profile.

Publications Top Noted✍️

  • Ismail, A., Ewida, H. F., Al-Ibiary, M. G., Gammaldi, S., Zollo, A.
    Identification of gas zones and chimneys using seismic attributes analysis at the Scarab field, offshore, Nile Delta, Egypt
    Petroleum Research, 2020
    Cited by: 71

  • Ismail, A., Ewida, H. F., Nazeri, S., Al-Ibiary, M. G., Zollo, A.
    Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
    Journal of Petroleum Science and Engineering, 2022
    Cited by: 70

  • Ismail, A., Ewida, H. F., Al-Ibiary, M. G., Nazeri, S., Salama, N. S., Gammaldi, S., …
    The detection of deep seafloor pockmarks, gas chimneys, and associated features with seafloor seeps using seismic attributes in the West offshore Nile Delta, Egypt
    Exploration Geophysics, 2021
    Cited by: 38

  • Ismail, A., Ewida, H. F., Al-Ibiary, M. G., Zollo, A.
    Application of AVO attributes for gas channels identification, West offshore Nile Delta, Egypt
    Petroleum Research, 2020
    Cited by: 37

  • Ismail, A., Radwan, A. A., Leila, M., Abdelmaksoud, A., Ali, M.
    Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand
    Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2023
    Cited by: 36

  • Ismail, A., Ewida, H. F., Al-Ibiary, M. G., Zollo, A.
    Integrated prediction of deep-water gas channels using seismic coloured inversion and spectral decomposition attribute, West offshore, Nile Delta, Egypt
    NRIAG Journal of Astronomy and Geophysics, 2020
    Cited by: 34

  • Gammaldi, S., Ismail, A., Zollo, A.
    Fluid accumulation zone by seismic attributes and amplitude versus offset analysis at Solfatara Volcano, Campi Flegrei, Italy
    Frontiers in Earth Science, 2022
    Cited by: 25

  • Edress, N. A. A., Darwish, S., Ismail, A.
    Geochemical characterization of the source rock intervals, Beni-Suef basin, west Nile Valley, Egypt
    Open Geosciences, 2021
    Cited by: 20

  • Ismail, A., Gammaldi, S., Chiuso, T., Zollo, A.
    Seismic imaging of the Solfatara crater (Campi Flegrei caldera, southern Italy): new evidence of the fluids migration pathways in the shallow structures
    Journal of Volcanology and Geothermal Research, 2020
    Cited by: 18

Zuraiz Rana | Solar Energy | Best Researcher Award

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Mr. Zuraiz Rana | Solar Energy | Best Researcher Award

PhD at Universidad de Antofagasta, Chile

Rana Muhammad Zuraiz is a promising researcher with a strong academic and professional background in electrical engineering and renewable energy. Currently pursuing a Ph.D. in Solar Energy at the University of Antofagasta, Chile, he has maintained excellent academic records throughout his studies, earning fully funded scholarships in both Chile and China. His research spans key areas such as solar energy, smart grids, power electronics, and system reliability, with multiple publications in reputed journals and international conferences. He has demonstrated technical proficiency in tools like Arduino and C++, and practical experience through internships in power generation and industrial sectors. His active participation in global academic forums highlights his commitment to advancing knowledge in sustainable energy. While focusing further on research impact and leadership roles could enhance his profile, his academic achievements, technical skills, and research contributions make him a highly suitable candidate for the Best Researcher Award.

Professional Profile 

Education🎓

Rana Muhammad Zuraiz has pursued a distinguished academic path in the field of electrical and renewable energy engineering. He is currently undertaking a Ph.D. in Solar Energy at the University of Antofagasta, Chile, where he has achieved an impressive GPA of 6.7/7.0 and is supported by a fully funded ANID scholarship from the Chilean government. Prior to this, he earned a Master’s degree in Electrical and Power Engineering from Taiyuan University of Technology, China, graduating with a GPA of 3.8/4.0 under a fully funded Chinese Government Scholarship. His academic journey began with a Bachelor’s degree in Electrical Engineering Technology from the University of Engineering and Technology, Lahore, Pakistan, where he attained a GPA of 3.4/4.0 and received academic recognition. His education reflects not only his dedication to academic excellence but also his strong foundation in both theoretical knowledge and applied technical skills in the field of energy and electrical systems.

Professional Experience📝

Rana Muhammad Zuraiz has gained valuable professional experience in the field of electrical engineering through various industrial and research roles. He worked as an intern in the Utility Department at Naveena Denim Limited, where he conducted inspections of power plants and electrical equipment, monitored safety procedures, and contributed to data analysis for energy efficiency improvements. At Atlas Honda Limited, he focused on evaluating and testing electrical systems in motorcycles, demonstrating strong analytical and reporting skills. His earlier experience at the Thermal Power Station in Muzaffargarh involved hands-on work with GENCO-2 units, assisting in load distribution, maintenance, and system optimization. These experiences have equipped him with practical knowledge of power systems, troubleshooting, and industrial safety standards. In addition to his technical capabilities, he has demonstrated leadership and teamwork in various engineering projects, including a solar tracking system project during his academic tenure. His professional background complements his academic research in renewable energy and smart grid systems.

Research Interest🔎

Rana Muhammad Zuraiz’s research interests lie at the intersection of renewable energy systems, power electronics, and smart grid technologies. His current focus is on solar energy, where he explores advanced photovoltaic systems and corrosion-resistant technologies to enhance efficiency and durability. He is particularly interested in the development of high-power density converters, such as buck-boost DC/DC converters using SiC MOSFETs, which offer promising solutions for energy-efficient power conversion. Additionally, his work extends to smart grid security, where he investigates the detection of false data injection attacks using nonlinear interval observers. His research also includes reliability analysis of wind turbines and intelligent metering infrastructures for smart grids. By integrating theoretical modeling with practical applications, he aims to develop sustainable and secure energy solutions. His interdisciplinary approach and commitment to innovation make his research highly relevant to the evolving challenges in global energy systems and electrical engineering technologies.

Award and Honor🏆

Rana Muhammad Zuraiz has been the recipient of several prestigious awards and honors that reflect his academic excellence and research potential. He was awarded a fully funded ANID scholarship by the Chilean government to pursue his Ph.D. in Solar Energy at the University of Antofagasta, recognizing his outstanding academic profile and commitment to renewable energy research. Additionally, he received a fully funded Chinese Government Scholarship to complete his Master’s degree in Electrical and Power Engineering at Taiyuan University of Technology, China. During his undergraduate studies at the University of Engineering and Technology, Lahore, he was honored with a government-sponsored laptop for academic merit. His consistently high academic performance, including a Ph.D. GPA of 6.7/7.0 and Master’s GPA of 3.8/4.0, further highlights his dedication and capabilities. These awards underscore his international recognition, resilience, and scholarly achievements, positioning him as a promising researcher in the field of sustainable energy and electrical engineering.

Research Skill🔬

Rana Muhammad Zuraiz possesses a diverse and advanced set of research skills that support his work in renewable energy and electrical engineering. He demonstrates strong proficiency in experimental design, data analysis, and simulation modeling, particularly in the domains of solar energy systems, power electronics, and smart grid technologies. His ability to utilize tools such as MATLAB, Arduino, and C++ allows him to develop and test innovative solutions like high-efficiency DC/DC converters and solar tracking systems. He is also skilled in conducting literature reviews, fault tree analysis, and evaluating system reliability, which are essential for assessing complex energy systems. Additionally, his experience in writing research papers, preparing technical documentation, and presenting at international conferences reflects his strong communication and academic writing skills. His interdisciplinary approach, combining theory with practical applications, enhances the relevance and impact of his research, making him a capable and well-rounded researcher in the field of sustainable energy technologies.

Conclusion💡

Rana Muhammad Zuraiz is highly suitable for the Best Researcher Award, especially in the early-career or emerging researcher categories. His consistent academic excellence, diverse and relevant publication portfolio, international exposure, and applied engineering background present a strong case.

To strengthen his future nominations for global or more senior-level research awards, he could focus on increasing the impact, innovation depth, and leadership visibility in research projects.

Publications Top Noted✍️

  1. High Power Density Buck Boost DC/DC Converter Using SiC MOSFET

    • Authors: Z. Rana, R. Meng, K. Ali, R. Haseeb

    • Year: 2024

    • Cited by: 1

  2. Detection of False Data Injection Attacks in Smart Grids via Nonlinear Interval Observer: A Review

    • Authors: K. Ali, Z. Rana, R. Haseeb, A. Niaz, M. Zahid, D. Liang

    • Year: 2024

    • Cited by: 1

  3. A Review on MPC Based Self Recovering Intelligent Advance Meter for Smart Grid: Scheme and Challenges

    • Authors: Z. Rana, A. Niaz, A. Kashif, W. Khan, I. Niaz, M. Adeel, R.A. Prince

    • Year: 2023

    • Cited by: 1

  4. Fault Tree Analysis for Reliability Analysis of Wind Turbines Considering the Imperfect Repair Effect

    • Authors: K. Ali, Z. Rana, A. Niaz, C. Liang

    • Year: 2023 (Note: The year “2001” seems incorrect; based on journal volume and context, it likely should be 2023)

    • Cited by: 1

Dalia Ahmed | Environmental Science | Best Academic Researcher Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Dalia Ahmed | Environmental Science | Best Academic Researcher Award

Zagazig University, Egypt

Dr. Dalia Saad El Din El Saied Ahmed, Assistant Professor of Sanitary Engineering at Zagazig University, is a distinguished academic with a Ph.D. in Environmental Engineering and extensive expertise in water and wastewater treatment. With a strong focus on anaerobic processes and biological treatment methods, she has contributed significantly through research, teaching, and supervision. Dr. Dalia has mentored numerous M.Sc. and Ph.D. students and actively participates in postgraduate education. Her work includes participation in an international research project funded by Egypt’s STDF in collaboration with the University of Washington. She has published several papers in respected journals and conferences, reflecting her technical depth and societal impact. As a member of various faculty committees, she plays an integral role in academic governance. While recent high-impact publications and broader international recognition could further enhance her profile, Dr. Dalia’s academic contributions and leadership make her a strong contender for the Best Academic Researcher Award.

Professional Profile 

Education🎓

Dr. Dalia Saad El Din El Saied Ahmed has a solid educational foundation in civil and environmental engineering, obtained entirely from Zagazig University, Egypt. She earned her Bachelor of Science degree in Civil Engineering in May 1997 with distinction, graduating with honors. Building on this strong academic start, she pursued postgraduate studies in environmental engineering, receiving her Master of Science in 2002. Her M.Sc. thesis focused on the “Study of Nitrification in a Suspended-Attached Growth Reactor,” highlighting her early engagement with wastewater treatment technologies. In 2007, she was awarded a Ph.D. in Environmental Engineering, with her dissertation titled “A Study on the Treatment of Municipal Wastewater in Small Communities Using Anaerobic Process.” Her academic journey reflects a clear specialization in sanitary and wastewater engineering, combining theoretical knowledge with applied research. This educational progression has laid the groundwork for her current academic, research, and supervisory roles in the field of environmental and sanitary engineering.

Professional Experience📝

Dr. Dalia Saad El Din El Saied Ahmed has amassed over two decades of professional experience in the field of sanitary and environmental engineering. She began her academic career in 1998 as a Demonstrator at the Faculty of Engineering, Zagazig University. From 2002 to 2007, she served as a Lecturer Assistant, where she deepened her involvement in teaching and laboratory research. Since 2007, she has held the position of Lecturer (Assistant Professor) in the Environmental Engineering Department, where she teaches undergraduate and postgraduate courses such as Sanitary Engineering, Engineering Chemistry, and Advanced Wastewater Treatment Methods. In addition to her teaching duties, she supervises M.Sc. and Ph.D. research, mentors graduation projects, and serves on multiple academic committees. Her expertise spans water purification, wastewater treatment systems, and anaerobic processes. Dr. Dalia’s professional journey showcases a strong commitment to academic excellence, practical research application, and institutional service within the engineering education and environmental sustainability domains.

Research Interest🔎

Dr. Dalia Saad El Din El Saied Ahmed’s research interests lie primarily in the fields of water and wastewater treatment, with a particular focus on sustainable and innovative technologies for environmental protection. Her work centers on anaerobic sludge treatment, the development and enhancement of treatment systems such as suspended-attached growth reactors and sequencing batch reactors (SBRs), and the use of effective microorganisms in biological treatment processes. She is also interested in modeling oxygen transfer and improving the performance of rotating biological contactors (RBCs) for more efficient wastewater purification. Additionally, Dr. Dalia explores sludge disintegration methods using hydrodynamic cavitation, alkaline treatment, and advanced oxidation techniques. Her research aims to address the challenges faced by small and large communities in managing wastewater efficiently while promoting environmentally friendly practices. Through her applied and theoretical research, she contributes to advancing knowledge in sanitary engineering and supports the development of cleaner, more effective water management systems.

Award and Honor🏆

Dr. Dalia Saad El Din El Saied Ahmed has earned recognition for her dedication to academic excellence and impactful contributions in the field of sanitary and environmental engineering. Her scholarly achievements and leadership in research have positioned her as a respected figure within her academic community. One of her notable honors includes her selection as a key researcher in a prestigious bilateral international research project between Suez Canal University and the University of Washington, funded by Egypt’s Science, Technology & Innovation Funding Authority (STDF) and the U.S. National Academy of Sciences. This honor highlights her commitment to addressing critical environmental challenges through global collaboration. Additionally, her consistent involvement in supervising award-winning student theses and active participation in national and international engineering conferences further reflect her reputation for academic distinction. Dr. Dalia’s honors and accolades underscore her dedication to advancing wastewater treatment research and her role as a mentor and innovator in engineering education.

Research Skill🔬

Dr. Dalia Saad El Din El Saied Ahmed possesses a comprehensive set of research skills that reflect her deep expertise in sanitary and environmental engineering. She is proficient in designing and evaluating advanced water and wastewater treatment systems, including anaerobic reactors, sequencing batch reactors (SBR), and rotating biological contactors (RBCs). Her skills extend to process modeling, performance optimization, and laboratory experimentation related to biological treatment and sludge management. Dr. Dalia demonstrates strong capabilities in applying innovative technologies such as hydrodynamic cavitation, advanced oxidation processes, and the use of effective microorganisms to enhance treatment efficiency. She is also skilled in supervising academic research, guiding M.Sc. and Ph.D. students through experimental design, data analysis, and scientific writing. Her experience in collaborative international projects further highlights her ability to conduct interdisciplinary research, manage funded initiatives, and contribute to peer-reviewed publications. Overall, her research skills blend technical proficiency with practical application, making her a leader in her field.

Conclusion💡

Dr. Dalia Saad El Din El Saied Ahmed is a strong candidate for the Best Academic Researcher Award, backed by her deep expertise in sanitary and wastewater engineering, impactful supervision record, teaching excellence, and involvement in collaborative international research. With some enhancement in recent publication outputs, global engagement, and research dissemination, she stands as a deserving recipient and role model in academic research and environmental sustainability.

Publications Top Noted✍️

  • Sludge Disintegration Techniques: In-depth Review

    • Authors: Ahmed Seaf, Dalia Ahmed, Zaki Elsafty

    • Year: 2025

    • Citation: Seaf, A., Ahmed, D., & Elsafty, Z. (2025). Sludge disintegration techniques: In-depth review. The Egyptian International Journal of Engineering Sciences and Technology. https://doi.org/10.21608/eijest.2025.331733.1301

  • Sustainable Methane Energy from Bagasse Treated via Bokashi Technology

    • Authors: Metwally, A.A., Abo-bakr, R.M., Ahmed, D.S.

    • Year: 2024

    • Citation: Metwally, A.A., Abo-bakr, R.M., & Ahmed, D.S. (2024). Sustainable methane energy from bagasse treated via bokashi technology: Comparative between neural network and mathematical modeling. Clean Technologies and Environmental Policy. https://doi.org/10.1007/s10098-023-02601-4

  • Using Phragmites Australis Biochar Bio-Augmented with Actinomycetes for Enhancing UASB Reactor Performance

    • Authors: El Shahawy, A., Mohamed, A., EL-Shatoury, S., Ahmed, D., Aboulfotoh, A., Dohdoh, A., Gough, H.L.

    • Year: 2024

    • Citation: El Shahawy, A., Mohamed, A., EL-Shatoury, S., Ahmed, D., Aboulfotoh, A., Dohdoh, A., & Gough, H.L. (2024). Using phragmites australis biochar bio-augmented with actinomycetes for enhancing UASB reactor performance: A field study. Journal of Water Process Engineering, 106461. https://doi.org/10.1016/j.jwpe.2024.106461

  • Performance Evaluation of Immobilized Micro Green Algae for Heavy Metals Removal from Water

    • Authors: Ahmed, D.S., Ayouty, Y.M.E., Naje, A.S., Wagdy, R.M.

    • Year: 2022

    • Citation: Ahmed, D.S., Ayouty, Y.M.E., Naje, A.S., & Wagdy, R.M. (2022). Performance evaluation of immobilized micro green algae for heavy metals removal from water. Desalination and Water Treatment, DOI:10.5004/dwt.2022.28487

  • Prediction of Biogas Production Using Mathematical Models and ANN

    • Authors: Abdel Daiem, M.M., Hatata, A., Galal, O.H., Said, N., Ahmed, D.

    • Year: 2021

    • Citation: Abdel Daiem, M.M., Hatata, A., Galal, O.H., Said, N., & Ahmed, D. (2021). Prediction of biogas production from anaerobic co-digestion of waste activated sludge and wheat straw using two-dimensional mathematical models and an artificial neural network. Renewable Energy. https://doi.org/10.1016/j.renene.2021.06.050

  • Evaluation of Biogas Production from Anaerobic Co-digestion

    • Authors: Ahmed, D., Wagdy, R., Said, N.

    • Year: 2019

    • Citation: Ahmed, D., Wagdy, R., & Said, N. (2019). Evaluation of biogas production from anaerobic co-digestion of sewage sludge with microalgae and agriculture wastes. BioResources, 14(4), 8405–8412. https://doi.org/10.15376/biores.14.4.8405-8412

  • Enhancing of UASB Efficiency by Mixing the Seeding Sludge with Clay Minerals

    • Authors: Ahmed, D.

    • Year: 2007

    • Citation: Ahmed, D. (2007). Enhancing of UASB efficiency by mixing the seeding sludge with clay minerals. Eleventh International Water Technology Conference, IWTC11, Sharm El-Sheikh, Egypt.

  • Improving the Stability and Biogas Production of UASB Reactor: Parametric and Microbial Study

    • Authors: Ahmed, D.

    • Year: [Year not specified]

    • Citation: Ahmed, D. Improving the stability and biogas production of UASB reactor; parametric and microbial study.

  • Upgrading Up Flow Anaerobic Sludge Blanket Using Effective Microorganisms

    • Authors: Ahmed, D.

    • Year: [Year not specified]

    • Citation: Ahmed, D. Upgrading up flow anaerobic sludge blanket using effective microorganisms.

Leling Xiao | Environmental Science | Best Researcher Award

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Ms. Leling Xiao | Environmental Science | Best Researcher Award

PhD Candidate at Beijing Normal University,China

Ms. Leling Xiao is a dedicated researcher in environmental science, currently pursuing a Ph.D. at Beijing Normal University, specializing in river sediment dynamics, shoreline changes, and ecological systems. She holds an MSc in Carbon Management from the University of Edinburgh and dual bachelor’s degrees in Economics and Law from Xiangtan University. With multiple peer-reviewed publications in prestigious journals like Engineering Geology and Remote Sensing, she has significantly contributed to climate change and hydrological research. Her professional experience at China Testing & Certification International Group involved carbon neutrality assessments, ecological product valuation, and forestry carbon sink calculations. Recognized with numerous awards, including the National Bronze Award in the “Challenge Cup” and a First-Class Comprehensive Scholarship, she demonstrates academic excellence and leadership. Proficient in Python, R, and Matlab, she applies data-driven approaches to environmental challenges. Her expertise bridges research and policy, positioning her as a promising leader in sustainability and climate science.

Professional Profile 

Education

Ms. Leling Xiao has a strong and diverse educational background spanning environmental science, carbon management, economics, and law. She is currently pursuing a Ph.D. in Environmental Science at Beijing Normal University, focusing on the dynamic changes of river sediment, shorelines, and ecological systems. She earned her Master of Science in Carbon Management from the University of Edinburgh, where she specialized in climate change mitigation, carbon economics, and environmental modeling. During her undergraduate studies at Xiangtan University, she completed a double degree in International Economics and Trade and Law, ranking first in comprehensive evaluation. Her coursework covered finance, international trade, investment, and legal studies, providing her with a multidisciplinary approach to environmental and sustainability issues. With a strong academic foundation supported by prestigious scholarships and honors, Ms. Xiao integrates scientific research, economic principles, and legal frameworks to address pressing environmental challenges on a global scale.

Professional Experience

Ms. Leling Xiao has extensive professional experience in environmental science, climate policy, and carbon management. She worked as an Assistant Engineer in the Climate Change Response Services Department at China Testing & Certification International Group, where she contributed to national carbon neutrality initiatives, carbon footprint calculations, and ecological product valuation. Her work included key projects such as the Ministry of Industry and Information Technology’s carbon peak and neutrality public service platform, forestry carbon sink accounting, and waste incineration emission reduction. She also played a role in developing national and enterprise standards for low-carbon economies and carbon asset management. In her doctoral research, she is actively involved in studying shoreline dynamics and aquatic ecological health in the Yangtze River Basin. With hands-on experience in research, policy development, and technical project implementation, Ms. Xiao’s expertise bridges academic research and practical sustainability solutions, making her a valuable contributor to environmental science and climate action.

Research Interest

Ms. Leling Xiao’s research interests lie at the intersection of environmental science, river dynamics, and climate change mitigation. Her Ph.D. research focuses on the dynamic changes of river sediment, shorelines, and aquatic ecosystems, aiming to understand their ecological and hydrological implications. She is particularly interested in fluvial geomorphology, water resource management, and ecological health assessments, with an emphasis on the Yangtze River Basin. Additionally, her background in carbon management has led her to explore low-carbon development strategies, carbon footprint analysis, and sustainable resource utilization. Through her work, she aims to bridge scientific research with environmental policy, contributing to better management of river systems and climate resilience. With expertise in remote sensing, environmental modeling, and carbon neutrality strategies, Ms. Xiao’s research seeks to develop innovative solutions for sustainable watershed management, erosion control, and climate adaptation in response to global environmental challenges.

Award and Honor

Ms. Leling Xiao has received numerous awards and honors in recognition of her academic excellence, research contributions, and leadership. She was awarded the Doctoral Academic Scholarship (Second Class) at Beijing Normal University and recognized as an Outstanding Teaching Assistant for her contributions to academia. Her achievements in research and innovation were highlighted through national and provincial awards, including the National Bronze Award in the “Challenge Cup” College Students’ Entrepreneurship Competition and the Provincial Silver Award in the Hunan “Creating Youth” Competition. She also secured the National Third Prize in the National English Contest for College Students. During her undergraduate years at Xiangtan University, she consistently ranked in the top 1%, earning the First-Class Comprehensive Scholarship twice. Additionally, she was honored as an Outstanding Student Leader and recognized for her volunteer work. These accolades reflect her dedication to academic excellence, research innovation, and leadership in environmental science and sustainability.

Research Skill

Ms. Leling Xiao possesses strong research skills in environmental science, hydrology, and carbon management, supported by expertise in data analysis, remote sensing, and environmental modeling. She is proficient in programming languages such as Python, R, and Matlab, which she utilizes for data processing, statistical modeling, and ecological assessments. Her experience with remote sensing tools and GIS applications allows her to analyze shoreline changes, sediment transport, and water system connectivity. Additionally, she has worked extensively on carbon footprint calculations, climate impact assessments, and ecological product valuation, contributing to national carbon neutrality projects. Her ability to integrate scientific research with policy applications makes her a versatile researcher. She is also skilled in academic writing and publishing, with multiple peer-reviewed articles in top environmental journals. With a strong foundation in interdisciplinary research methods, Ms. Xiao applies quantitative and qualitative approaches to address complex environmental challenges effectively.

Conclusion

Xiao Leling is a highly qualified candidate for the Best Researcher Award, with strong academic credentials, impactful research publications, and applied contributions to environmental science and carbon management. While additional leadership in research projects and greater international collaboration could further enhance their profile, their contributions to sediment transport, climate change, and carbon neutrality make them a strong contender for the award.

Publications Top Noted

  • Author(s): Xiao, Leling; Guo, Chao; Du, Jizeng; Zhou, Yang; Yi, Yunjun
  • Year: 2025
  • Title: Rill erosion in post-seismic watershed – A non-negligible transporting way of fluvial sediment
  • Journal: Engineering Geology
  • DOI/Reference: (Include DOI if available)

Prof. Dr. Muhammad Irfan Khan | Environmental Science | Lifetime achievement Award

Published on by Global Scholar Awards

Prof. Dr. Muhammad Irfan Khan | Environmental Science | Lifetime achievement Award

Dean Faculty of Sciences at International Islamic University Islamabad, Pakistan

Prof. Dr. Muhammad Irfan Khan is a distinguished academician and environmental consultant with nearly 37 years of experience in teaching, research, and administration. He has made significant contributions to environmental science, sustainability policies, and academic leadership. His work spans national and international projects, collaborating with organizations like the World Bank, Asian Development Bank, and UNFAO. With over 80 research publications, including high-impact journal articles and book chapters, he has supervised numerous PhD and MS students. He played a pivotal role in shaping environmental science education in Pakistan and has led key university departments and faculties.

Professional Profile 

Education

Dr. Khan earned his PhD in Environmental Sciences from Imperial College London, UK, in 1994. He also holds an MSc in Zoology from Government College Lahore and a BSc in Botany, Chemistry, and Zoology from Islamia College, Lahore. His academic journey includes a postgraduate diploma in Environmental Science from Imperial College, further strengthening his expertise.

Professional Experience

Dr. Khan has over three decades of university-level teaching and research experience, serving as a professor for more than 15 years. He held key positions, including Dean of the Faculty of Sciences at the International Islamic University Islamabad (IIU), and contributed to academic development through curriculum reforms and administrative leadership. Additionally, he worked as an environmental consultant for global projects in the Middle East and Central Asia. His research and consultancy expertise focus on environmental impact assessment, policy coherence, and sustainability governance.

Research Interest

Prof. Dr. Muhammad Irfan Khan’s research interests focus on environmental science, sustainability governance, and policy coherence. His work explores environmental impact assessments, climate change adaptation, and ecological conservation. He has conducted extensive research on waste management, biodiversity conservation, and environmental risk assessment, contributing to policy recommendations for sustainable development. His studies also integrate socio-economic aspects of environmental policies, bridging the gap between scientific research and practical implementation.

Awards and Honors

Dr. Khan has received multiple national and international awards for his contributions to environmental science and academia. He was honored with the Excellence in Environmental Research Award by leading scientific organizations and has been recognized for his impactful work in sustainability policies. His leadership in environmental education has earned him distinctions from universities and government bodies. He has also been a keynote speaker at prestigious global conferences and has received research grants from renowned institutions.

Research Skills

Dr. Khan possesses advanced research skills in environmental modeling, data analysis, and policy assessment. His expertise includes GIS-based environmental mapping, impact assessment methodologies, and sustainability audits. He is proficient in statistical tools for environmental data analysis and has extensive experience in designing and conducting large-scale environmental studies. His interdisciplinary approach enables him to integrate scientific research with policy-making, ensuring practical and effective solutions for environmental challenges.

Conclusion 

Prof. Dr. Muhammad Irfan Khan is a highly distinguished scholar with a remarkable career spanning over 37 years in research, teaching, administration, and consultancy. His extensive publication record, leadership in academia, mentorship, and international consultancy make him a strong candidate for a Lifetime Achievement Award.

While his impact in environmental sciences is well-established, further enhancement in research citations, global collaborations, and interdisciplinary work could further strengthen his legacy. Nevertheless, his contributions to academia, research, and sustainable development projects make him highly deserving of this prestigious recognition.

Publications Top Noted

  • Sustainable Consumption and Production of Food Nexus with Environmental Security: Assessing the State of Food Security in Pakistan

    • Authors: Sobia Afzal, Muhammad Irfan Khan, Nadia Akhtar, Alamdar Hussain, Qurat-ul-Nain Nawaz, Nidma Alam, Attarad Ali
    • Year: 2024
    • Citations: Not available (as this is a preprint published in October 2024, it may not have been cited yet)

  • Coherence Analysis of National Maritime Policy of Pakistan across Shipping Sector Governance Framework in the Context of Sustainability

    • Authors: Bushra Aslam, Kanwar Muhammad Javed Iqbal, Nadia Akhtar, Angela Bahauovna Mottaeva, Turutina Tatyana Fedorovna, Sergey Barykin, Muhammad Irfan Khan
    • Year: 2023
    • Citations: Not available

  • Multi-Criteria Relationship Analysis of Knowledge, Perception, and Attitude of Stakeholders for Engagement towards Maritime Pollution at Sea, Beach, and Coastal Environments

    • Authors: Wajih Ur Rehman, Kanwar Muhammad Javed Iqbal, Dr. M. I. Khan, Wahid Ullah, Shah Ashfaq Ahmad, PhD, Muhammad Atiq Ur Rehman Tariq
    • Year: 2022
    • Citations: Not available

  • Multi-Variable Governance Index Modeling of Government’s Policies, Legal and Institutional Strategies, and Management for Climate Compatible and Sustainable Agriculture Development

    • Authors: Kanwar Muhammad Javed Iqbal, Nadia Akhtar, Sarah Amir, Dr. M. I. Khan, Ashfaq Ahmad Shah, Muhammad Atiq Ur Rehman Tariq, Wahid Ullah
    • Year: 2022
    • Citations: Not available

  • Mix-method Modelling of Actors’ Capacity for Environmental Sustainability and Climate Compatible Development in Energy Sector

    • Authors: Kanwar Muhammad Javed Iqbal, Nadia Akhtar, Muhammad Owais Khan, Muhammad Irfan Khan
    • Year: 2022
    • Citations: Not available

  • Uncovering Barriers for Industrial Symbiosis: Assessing Prospects for Eco-Industrialization through Small and Medium-Sized Enterprises in Developing Regions

    • Authors: Nadia Akhtar, Syed Atif Bokhari, Michael Alan Martin, Zafeer Saqib, Muhammad Irfan Khan, Arif Mahmud, Muhammad Zaman-ul-Haq, Sarah Amir
    • Year: 2022
    • Citations: Not available

Ranjith Nandish | Energy | Best Researcher Award

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Mr. Ranjith Nandish | Energy | Best Researcher Award

Research Assistant at Bundesanstalt für Materials forschung und prüfung, Germany

Ranjith Nandish is a dedicated Computational Engineer and Ph.D. researcher at Technische Universität Braunschweig, specializing in Computational Fluid Dynamics (CFD), numerical modeling, and machine learning applications in fire safety. With extensive experience in fire behavior simulations, he has contributed to multiple BMBF-funded projects, including lithium-ion battery storage safety and cultural heritage fire risk assessments. His expertise includes applying Physics-Informed Neural Networks (PINNs) and Convolutional Neural Networks (CNNs) to optimize fire prediction models and improve simulation accuracy. Proficient in tools like Fire Dynamics Simulator (FDS), ANSYS, Python, and PyTorch, he integrates machine learning with engineering challenges to develop innovative safety solutions. Ranjith has presented at international conferences and published research on pyrolysis modeling and fire dynamics. His contributions to fire safety, automation, and real-time predictive modeling highlight his strong research capabilities, making him a promising candidate for prestigious awards in engineering and computational research.

Professional Profile 

Education

Ranjith Nandish has a strong academic background in engineering and computational sciences. He is currently pursuing a Ph.D. at Technische Universität Braunschweig, Germany, focusing on experimental and numerical investigations of wooden fires using advanced fire modeling methodologies. He holds a Master of Science in Computational Science and Engineering from the University of Rostock, where his research centered on numerical simulation of buoyant flows in dairy cattle houses using the porous medium approach in atmospheric boundary layers. His master’s studies provided him with in-depth knowledge of computational fluid dynamics (CFD), numerical mathematics, machine learning, and high-performance computing. Prior to that, he earned a Bachelor of Mechanical Engineering from Visvesvaraya Technological University, Karnataka, India, where he developed a strong foundation in thermodynamics, mechatronics, and engineering simulations. His diverse academic experiences have equipped him with expertise in numerical modeling, fire dynamics, and computational optimization, making him a valuable researcher in his field.

Professional Experience

Ranjith Nandish is an experienced Computational Engineer and Research Associate at the Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin, Germany. He has worked on multiple BMBF-funded projects, including the BEGIN-HVS and BRAWA projects, where he performed large-scale fire simulations for lithium-ion battery storage safety and cultural heritage buildings. His expertise lies in developing numerical models for fire spread dynamics, optimizing CFD simulations, and applying machine learning techniques to enhance predictive fire safety models. Previously, he conducted research on fire safety in timber constructions, integrating thermogravimetric analysis (TGA) and cone calorimeter data for improved simulation accuracy. His professional experience also includes a Master’s research project at the Leibniz Institute for Agricultural Engineering, where he developed airflow and thermal comfort models for animal housing. Additionally, as a Project Intern at Voith GmbH, he worked on inclined centrifugal spin casting and turbine modeling, further expanding his expertise in computational modeling and optimization.

Research Interest

Ranjith Nandish’s research interests lie at the intersection of computational fluid dynamics (CFD), fire safety engineering, and machine learning. He focuses on developing advanced numerical models to simulate fire behavior, particularly in complex environments such as lithium-ion battery storage systems, cultural heritage buildings, and timber constructions. His expertise includes applying Physics-Informed Neural Networks (PINNs) and Convolutional Neural Networks (CNNs) to enhance the accuracy and efficiency of fire prediction models. Additionally, he explores time-series forecasting, parameter optimization, and automation techniques to improve real-time fire safety assessments. His research also extends to high-performance computing, thermodynamics, and multi-physics simulations, aiming to bridge the gap between experimental fire dynamics and computational modeling. By integrating artificial intelligence with engineering solutions, Ranjith seeks to develop scalable and efficient safety mechanisms that can mitigate fire hazards in various industrial and residential settings. His work contributes to the advancement of fire modeling methodologies and predictive safety strategies.

Award and Honor

Ranjith Nandish has been recognized for his contributions to fire safety engineering and computational modeling through prestigious awards and honors. Notably, he received the SFPE Foundation GCI Student Research Fellowship, a distinguished recognition awarded by the Society of Fire Protection Engineers (SFPE) for his outstanding research in fire dynamics and computational simulations. His work on numerical investigations of fire exposure and pyrolysis modeling has been acknowledged in international conferences and symposiums, where he has presented his findings on advanced fire safety strategies. His innovative approach to integrating machine learning with fire behavior simulations has positioned him as a leading researcher in the field. Through his contributions to multiple BMBF-funded projects and his pioneering research in computational fluid dynamics (CFD), he has gained recognition within the scientific community. His commitment to advancing fire safety and predictive modeling continues to be reflected in his scholarly achievements and industry collaborations.

Research Skill

Ranjith Nandish possesses a diverse and advanced set of research skills, specializing in Computational Fluid Dynamics (CFD), fire dynamics modeling, and machine learning applications. He has expertise in numerical simulations, particularly in fire behavior prediction, safety design, and optimization. His proficiency in Fire Dynamics Simulator (FDS), ANSYS Fluent, and Pyrosim enables him to conduct high-accuracy fire simulations for large-scale industrial and structural applications. Additionally, he is skilled in Physics-Informed Neural Networks (PINNs) and Convolutional Neural Networks (CNNs), integrating machine learning techniques to enhance simulation accuracy and predictive modeling. His experience in time-series forecasting, parameter optimization, and automating CFD workflows has significantly improved computational efficiency in fire safety research. Furthermore, his ability to work with high-performance computing (HPC), MATLAB, OpenFOAM, and programming languages such as Python and C++ makes him adept at developing innovative solutions for complex engineering challenges. His interdisciplinary approach ensures robust and scalable research methodologies.

Conclusion

Ranjith Nandish is a strong candidate for the Best Researcher Award due to his advanced expertise in CFD, fire safety, and machine learning, high-quality research contributions, and technical excellence in numerical modeling and AI-driven predictions. To further solidify his chances, he could focus on publishing more high-impact papers, securing additional research awards, leading research initiatives, and highlighting his real-world impact in fire safety and computational engineering.

Publication Top Noted

Title: Numerical Investigations of a Large Fire Exposure Crib Test—Presenting Different Pyrolysis Modelling Methodologies and Numerical Results
Authors: Ranjith Nandish, Christian Knaust, Jochen Zehfuß
Year: 2025
Citation: Nandish, R., Knaust, C., & Zehfuß, J. (2025). Numerical Investigations of a Large Fire Exposure Crib Test—Presenting Different Pyrolysis Modelling Methodologies and Numerical Results. Fire and Materials. DOI: 10.1002/fam.3287