Mohsin Raza | Renewable Energy | Innovation Research Award

Dr. Mohsin Raza | Renewable Energy | Innovation Research Award

Post Doctoral Research Associate | University of Sharjah | United Arab Emirates

Dr. Mohsin Raza, Ph.D., is a distinguished researcher specializing in biomass valorization, bioenergy, green chemistry, and nanocellulose production. He is currently advancing research in sustainable material science and bio-based innovations as a Postdoctoral Research Associate at a leading research institute. His academic background and scientific expertise center on transforming agricultural and lignocellulosic wastes into high-value materials through green and energy-efficient processes. Dr. Raza’s work integrates biomass conversion technologies, lignin recovery, nanocellulose extraction, and bio-based thermal insulation development, emphasizing environmental sustainability and circular economy principles. His core research skills include thermochemical processing, biopolymer synthesis, pyrolysis kinetics, and the use of natural deep eutectic solvents for eco-friendly material synthesis. Highly skilled in advanced analytical techniques such as TGA, DSC, XRD, FTIR, GC-MS, SEM, and TEM, he also demonstrates excellence in intellectual property development, holding multiple granted U.S. patents and additional applications in the fields of biomass valorization and green solvent technologies. As a prolific author with extensive publications in high-impact Q1 journals from leading publishers, Dr. Raza’s research contributions have significantly advanced understanding in renewable energy systems, sustainable chemistry, and nanomaterial engineering. His work has been recognized through multiple innovation and sustainability awards, reflecting his leadership and creativity in promoting clean technologies. Through collaborative research and continuous innovation, Dr. Raza continues to shape the future of renewable materials and sustainable energy, contributing to global progress toward a circular bioeconomy, with a documented record of 994 citations, 28 publications, and an h-index of 14.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

1. Inayat, A., & Raza, M. (2019). District cooling system via renewable energy sources: A review. Renewable and Sustainable Energy Reviews, 107, 360–373. Cited by: 221

2. Raza, M., Abu-Jdayil, B., Al-Marzouqi, A. H., & Inayat, A. (2022). Kinetic and thermodynamic analyses of date palm surface fibers pyrolysis using Coats–Redfern method. Renewable Energy, 183, 67–77. Cited by: 161

3. Raza, M., Inayat, A., Ahmed, A., Jamil, F., Ghenai, C., Naqvi, S. R., Shanableh, A., & Park, Y. K. (2021). Progress of the pyrolyzer reactors and advanced technologies for biomass pyrolysis processing. Sustainability, 13(19), 11061. Cited by: 148

4. Raza, M., Abu-Jdayil, B., Banat, F., & Al-Marzouqi, A. H. (2022). Isolation and characterization of cellulose nanocrystals from date palm waste. ACS Omega, 7(29), 25366–25379. Cited by: 102

5. Raza, M., & Abu-Jdayil, B. (2022). Cellulose nanocrystals from lignocellulosic feedstock: A review of production technology and surface chemistry modification. Cellulose, 29(2), 685–722. Cited by: 77

 

Ao Wang | Biomass | Best Researcher Award

Dr. Ao Wang | Biomass | Best Researcher Award

Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry | China

Dr. Ao Wang is an Associate Research Fellow at the Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry (CAF) and currently serves as a visiting scholar at Nanyang Technological University, fostering international research collaborations. His professional expertise centers on the preparation and application of advanced functional carbon materials derived from biomass, with a particular focus on electrochemical energy storage. He has led major research projects, including national key programs and fundamental research initiatives at CAF. Dr. Wang’s contributions include elucidating the evolution mechanism of carbon microcrystals during lignin and cellulose pyrolysis, demonstrating that the isotropy of carbon crystal seeds drives the ordered growth of graphite-like microcrystals, and revealing the critical influence of catalyst-induced pore sizes on the formation of closed pore structures in energy storage carbon materials. He has published over 30 articles in high-impact journals such as Progress in Materials Science, Advanced Functional Materials, and Carbon Energy, and has been granted 8 invention patents. His research skills encompass biomass carbon material synthesis, catalytic carbonization, pore structure engineering, and electrochemical characterization for lithium-ion and sodium-ion batteries, as well as supercapacitors. Dr. Wang continues to advance the field of biomass-derived carbon materials for energy storage, demonstrating a strong commitment to sustainable energy solutions and functional material innovation, with a documented record of 1,899 citations, 99 documents, and an h-index of 24.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Fan, M., Yuan, Q., Zhao, Y., Wang, Z., Wang, A., Liu, Y., Sun, K., Wu, J., Wang, L., … (2022). A facile “double‐catalysts” approach to directionally fabricate pyridinic N–B‐pair‐doped crystal graphene nanoribbons/amorphous carbon hybrid electrocatalysts for efficient … Advanced Materials, 34(13), 2107040. Cited by 163.

Fan, M., Wang, Z., Sun, K., Wang, A., Zhao, Y., Yuan, Q., Wang, R., Raj, J., Wu, J., … (2023). N–B–OH site-activated graphene quantum dots for boosting electrochemical hydrogen peroxide production. Advanced Materials, 35(17), 2209086. Cited by 150.

Wang, A., Sun, K., Xu, R., Sun, Y., Jiang, J. (2021). Cleanly synthesizing rotten potato-based activated carbon for supercapacitor by self-catalytic activation. Journal of Cleaner Production, 283, 125385. Cited by 118.

Chen, C., Sun, K., Huang, C., Yang, M., Fan, M., Wang, A., Zhang, G., Li, B., Jiang, J., … (2023). Investigation on the mechanism of structural reconstruction of biochars derived from lignin and cellulose during graphitization under high temperature. Biochar, 5(1), 51. Cited by 66.

Cao, M., Liu, Y., Sun, K., Li, H., Lin, X., Zhang, P., Zhou, L., Wang, A., Mehdi, S., … (2022). Coupling Fe3C nanoparticles and N‐doping on wood-derived carbon to construct reversible cathode for Zn–Air batteries. Small, 18(26), 2202014. Cited by 58.

 

Sergei Petrenko | Solar Energy | Best Researcher Award

Prof. Dr. Sergei Petrenko | Solar Energy | Best Researcher Award

Sirius University of Science and Technology | Russia

Prof. Sergei Petrenko, born in 1968 in Kaliningrad (the Baltic), is a distinguished Doctor of Technical Sciences and Professor at Sirius University, Russia, recognized for his extensive contributions to information security and digital technologies. He graduated with honors in 1991 from Leningrad State University with a degree in mathematics and engineering, laying a solid foundation for his academic and professional journey. Over the years, Prof. Petrenko has designed and implemented critical information systems for numerous national and corporate projects, including three national Situational-Crisis Centers (RCCs), three operators of special information services (MSSP and MDR), two virtual trusted communication operators (MVNO), more than ten segments of the System for Detection, Prevention, and Elimination of the Effects of Computer Attacks (SOPCA) and the System for Detection and Prevention of Computer Attacks (SPOCA), as well as five monitoring centers for information security threats and response, including CERT, CSIRT, and two industrial CERTs for IIoT/IoT environments. His research interests encompass information security, big data technologies, cloud security, corporate and industrial Internet protection, and innovative digital economy solutions. Prof. Petrenko possesses advanced research skills in auditing corporate cybersecurity, risk management, security policy formulation, and developing methods and technologies to safeguard critical national infrastructure. He has authored and co-authored 14 monographs and practical manuals published by Springer Nature Switzerland AG, River Publishers, Peter, Athena, and DMK-Press, including works such as “Big Data Technologies for Monitoring,” “Innovation for the Digital Economy,” and “Methods and Technologies of Cloud Security,” alongside over 350 articles in leading journals and conference proceedings. His exceptional contributions to national projects have earned him the prestigious “Big ZUBR” and “Golden ZUBR” awards. Prof. Petrenko continues to lead the State Scientific School, advancing both applied and theoretical research in information security, fostering innovation, and mentoring the next generation of cybersecurity experts, with a documented record of 296 citations, 55 documents, and an h-index of 10.

Profiles: Google Scholar | Scopus| ORCID

Featured Publications

1. Balyabin, A. A., & Petrenko, S. A. (2025). Model of a blockchain platform with cyber-immunity under quantum attacks. Voprosy kiberbezopasnosti, (3), 72-82.

2. Balyabin, A., & Petrenko, S. (2025). Methodology for synthesizing quantum-resistant blockchain platforms with cyber-immunity. Voprosy kiberbezopasnosti, (4), 46-54.

3. Buchatskiy, P., Onishchenko, S., Petrenko, S., & Teploukhov, S. (2025). Methodology for assessing the technical potential of solar energy based on artificial intelligence technologies and simulation-modeling tools. Energies.

4. Olifirov, A. V., Makoveichuk, K., & Petrenko, S. (2025). Research of aspects of omnicanal approach in the industry of digital learning technologies of organizations. In [Book Title], Springer Nature Switzerland AG (Chapter).

5. Petrenko, S. A., & Alexei Petrenko. (2023). Basic Algorithms Quantum Cryptanalysis. Voprosy kiberbezopasnosti, (1), 100-115.

 

 

Derese Kebede Teklie | Renewable Energy | Best Academic Researcher Award

Dr. Derese Kebede Teklie | Renewable Energy | Best Academic Researcher Award

Researcher | Istanbul Technical University | Ethiopia

Dr. Derese Kebede Teklie is an accomplished scholar in Development and Environmental Economics with a strong focus on the intersection of green economy, institutional quality, and sustainable development in Africa. Born on August 19, 1988, in Arsi, Ethiopia, he holds a Ph.D. in Economics from Istanbul Technical University, Turkey, under the supervision of Assoc. Prof. Dr. Mete Han Yağmur. He is also pursuing a second Ph.D. in Green Economy and Sustainability at Brescia University, Italy, expanding his expertise in environmental policy and sustainable growth. Dr. Teklie earned his M.Sc. in Development Economics from Debre Markos University, Ethiopia, and a B.A. in Economics from Mekelle University. His academic journey has been enhanced by international exposure through the Erasmus Exchange Program at Istanbul Kültür University, fostering global research collaboration and cross-cultural learning. Professionally, he serves as an Assistant Researcher at Istanbul Technical University, contributing to projects on Africa’s economic growth, environmental sustainability, and green innovation. Previously, he worked as a Lecturer at Rift Valley University, Ethiopia, and held key roles in NGO project coordination and government research institutes, demonstrating his versatility across academia, research, and community development. His research interests include environmental economics, green growth, renewable energy policy, institutional development, and econometric modeling. Dr. Teklie is skilled in advanced analytical tools such as STATA, SPSS, EViews, MATLAB, Python, and CGE modeling, reflecting his technical proficiency in empirical research. His publications in Sustainability and the International Journal of Energy Economics and Policy address pressing issues in Africa’s environmental and economic transformation. Recognized for his academic dedication and contributions to sustainable development, Dr. Teklie continues to advance impactful interdisciplinary research and international collaboration. Dr. Derese Kebede Teklie’s academic impact is reflected in his growing recognition with 19 citations, 3 documents, and an h-index of 2, highlighting his emerging influence in environmental and development economics research.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Teklie, D. K., & Yağmur, M. H. (2024). The Role of Green Innovation, Renewable Energy, and Institutional Quality in Promoting Green Growth: Evidence from African Countries. Sustainability, 16(14), 6166.

2. Teklie, D. K., & Yağmur, M. H. (2024). Effect of Economic Growth on CO₂ Emission in Africa: Do Financial Development and Globalization Matter? International Journal of Energy Economics and Policy, 14(1), 121–140.

3. Teklie, D. K., & Doğan, B. (2024). Analyzing the Dynamics: Asymmetric Effects of Economic Growth, Technological Innovation, and Renewable Energy on Carbon Emissions in Africa. International Journal of Energy Economics and Policy, 14(5), 509–519.

4. Teklie, D. K. (2021). Rural Household Poverty and Its Determining Factors: A Poverty Analysis Using Alternative Measurement Approaches. International Journal of Advanced Research.

Christian Idogho | Solar Energy | Best Researcher Award

Mr. Christian Idogho | Solar Energy | Best Researcher Award

Researcher | University of Vermont | United States

Mr. Christian Idogho is a Ph.D. Candidate in Materials Science at the University of Vermont, where he focuses on semiconductor thin-film growth, materials characterization, and renewable energy systems. He earned a Bachelor of Engineering in Mechanical Engineering from the University of Agriculture, Makurdi (2020) and a Diploma in Chemical Engineering from Auchi Polytechnic. His professional and research experience spans multiple institutions and international collaborations, including advanced thin-film deposition projects using CVD, sputtering, and pulsed-laser deposition, as well as in-situ X-ray scattering studies at Brookhaven National Laboratory. He has also contributed to renewable energy forecasting research using machine learning at the University of Nigeria, Nsukka, and held teaching assistantships at both the University of Vermont and Auchi Polytechnic, mentoring students in physics and core engineering subjects. His research interests include semiconductor thin-film growth, thermoelectric materials, machine learning for clean energy forecasting, renewable energy systems, and advanced materials characterization techniques such as XRD, SEM, AFM, and ellipsometry. Mr. Idogho’s research skills cover a wide spectrum, including COMSOL Multiphysics, MATLAB, Python, CAD tools (SolidWorks, Autodesk Inventor), and simulation of photovoltaic and thermoelectric systems. His awards and honors include the Best Researcher Award in Machine Learning (2025), Best Undergraduate Thesis Award (2020), and the Olive Real Estate Science and Engineering Scholarship. He is also an active reviewer for journals such as Energy Research and Clean Energy and maintains memberships in Sigma Xi, the Association for Iron & Steel Technology (AIST), Material Advantage, NSBE, and Black in AI. Mr. Idogho’s contributions through publications in Energy Science & Engineering, Energies, and Unconventional Resources underscore his growing reputation in clean energy and advanced materials. With his vision, technical expertise, and commitment to international collaboration, he is positioned to become a global leader in sustainable energy materials and semiconductor research. Mr. Idogho’s growing academic impact is reflected in 21 citations, 4 documents, and an h-index of 1, demonstrating his emerging influence in materials science and renewable energy research.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn

Featured Publications

1. Maduabuchi, C., Nsude, C., Eneh, C., Eke, E., Okoli, K., Okpara, E., & Idogho, C. (2023). Renewable energy potential estimation using climatic-weather-forecasting machine learning algorithms. Energies, 16(4), 1603. Cited by: 25

2. Onuh, P., Ejiga, J. O., Abah, E. O., Onuh, J. O., Idogho, C., & Omale, J. (2024). Challenges and opportunities in Nigeria’s renewable energy policy and legislation. World Journal of Advanced Research and Reviews, 23(2), 2354–2372.  Cited by: 15

3. Idoko, P. I., Ezeamii, G. C., Idogho, C., Peter, E., Obot, U. S., & Iguoba, V. A. (2024). Mathematical modeling and simulations using software like MATLAB, COMSOL and Python. Magna Scientia Advanced Research and Reviews, 12(2), 62–95. Cited by: 6

4. Maduabuchi, C., Nsude, C., Eneh, C., Eke, E., Okoli, K., Okpara, E., & Idogho, C. (2023). Renewable energy potential estimation using climatic-weather-forecasting machine learning algorithms. Energies, 16(4), 1603.  Cited by: 3

5. Idogho, C., Abah, E. O., Onuh, J. O., Harsito, C., Omenka, K., Samuel, A., Ejila, A., & Idoko, I. P. (2025). Machine learning-based solar photovoltaic power forecasting for Nigerian regions. Energy Science & Engineering, 13(4), 1922–1934. Cited by: 1

Vahed Ghiasi | Renewable Energy | Pioneer Researcher Award

Assist. Prof. Dr. Vahed Ghiasi | Renewable Energy | Pioneer Researcher Award

Assistant Professor | Malayer university | Iran

Dr. Vahed Ghiasi is an accomplished civil and geotechnical engineer with a Ph.D. in Geotechnical and Geological Engineering from University Putra Malaysia (2012), where his research focused on the effects of weak rock geomechanical properties on tunnel stability. He currently serves as Assistant Professor at the Faculty of Civil and Architecture Engineering, Malayer University, Iran, with extensive experience in supervising graduate students, managing large-scale research projects, and contributing to both national and international engineering initiatives. His professional expertise encompasses tunnel engineering, soil-structure interaction, foundation engineering, advanced soil mechanics, and landslide hazard assessment, supported by practical work in seismic and earth dam engineering. Dr. Ghiasi has led numerous research projects, including international collaborations on landslide hazard mapping using neural networks and fuzzy logic, while publishing over 130 peer-reviewed articles in high-impact journals such as SN Applied Sciences, Results in Engineering, Geomechanics and Engineering, and Natural Hazards. He is also an active contributor to the global scientific community, serving on editorial boards for journals like SN Applied Sciences and Applied Engineering and Technology, and reviewing for more than 20 international journals. His research interests include geotechnical design, tunnel stability analysis, landslide risk assessment, soil improvement, and advanced numerical modeling techniques, utilizing software such as PLAXIS, PHASE 2 FEM, and FDM. Dr. Ghiasi’s professional involvement extends to memberships in prominent societies including SEAGS, IGS, ITA-AITES, ASCE, and IEM, and he has been recognized with awards such as the Most Outstanding Iranian Student in Malaysia (2011) and Superior Researcher of the Faculty of Civil Engineering, Malayer University (2019–2023). His work demonstrates a commitment to advancing geotechnical engineering knowledge, mentoring future engineers, and contributing to resilient infrastructure development. Dr. Ghiasi’s growing academic impact is reflected in 316 citations, 45 documents, and an h-index of 11, demonstrating his sustained influence in geotechnical engineering research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

1. Safaei, M., Omar, H., Huat, B. K., Yousof, Z. B. M., & Ghiasi, V. (2011). Deterministic rainfall induced landslide approaches, advantage and limitation. Electronic Journal of Geotechnical Engineering, 16, 1619–1650. Cited by 47

2. Mafian, S., Huat, B. B. K., & Ghiasi, V. (2009). Evaluation on root theories and root strength properties in slope stability. European Journal of Scientific Research, 30(4), 594–607. Cited by 43

3. Ghiasi, V., & Koushki, M. (2020). Numerical and artificial neural network analyses of ground surface settlement of tunnel in saturated soil. SN Applied Sciences, 2(5), 939. Cited by 42

4. Kazemian, S., Prasad, A., Huat, B. B. K., Ghiasi, V., & Ghareh, S. (2012). Effects of cement–sodium silicate system grout on tropical organic soils. Arabian Journal for Science and Engineering, 37(8), 2137–2148. Cited by 38

5. Safaei, M., Omar, H., Yousof, Z. B. M., & Ghiasi, V. (2010). Applying geospatial technology to landslide susceptibility assessment. Electronic Journal of Geotechnical Engineering, 15(G), 677–696. Cited by 31

 

Muhammad Ali Shahbaz | Bioenergy | Best Researcher Award

Dr. Muhammad Ali Shahbaz | Bioenergy | Best Researcher Award

Assistant Professor | University of Engineering and Technology | Pakistan

Dr.-Ing. Muhammad Ali Shahbaz is an accomplished academic and researcher in Mechanical Engineering, currently serving as an Assistant Professor at the Automotive Engineering Centre, University of Engineering and Technology (UET) Lahore, Pakistan. He earned his Ph.D. in Mechanical Engineering from the University of Duisburg-Essen, Germany, where his research focused on developing advanced endoscopic optical diagnostics for combustion engines, including temperature imaging, fuel film analysis, and soot incandescence studies. His M.Sc. research involved visualization of flame fronts using OH*-chemiluminescence and LIF techniques, and he holds a B.Sc. in Mechanical Engineering from UET Lahore with a thesis on biodiesel synthesis and engine performance. Professionally, he has over 14 years of teaching and research experience, having supervised multiple master’s and bachelor’s theses, reviewed and developed graduate curricula, and advised government agencies on EV policy and emissions testing standards. His research interests span optical diagnostics for internal combustion engines, alternative fuels, pyrolysis for bio-oil and biochar, waste-to-energy technologies, renewable energy systems, and integrated solid waste management. He possesses strong experimental and analytical skills in LIF, chemiluminescence, soot imaging, MATLAB, instrumentation, and pyrolysis systems. Dr. Shahbaz has contributed to major projects including EU Horizon 2020 research, biodiesel optimization funded by HEC Pakistan, and vibration analysis for electric vehicle development. His work is widely published in reputed journals such as Applied Optics, Experiments in Fluids, and Energy Science & Engineering and presented at global conferences including the Gordon Research Conference and European Combustion Meeting. He is the recipient of multiple awards including the Best Teacher Award and DAAD Scholarship. His growing academic impact is reflected in 2,940 citations, 139 documents, and an h-index of 31, demonstrating his significant and sustained influence in the field of combustion diagnostics and sustainable energy research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

1. Munir, M. A., Habib, M. S., Hussain, A., Shahbaz, M. A., Qamar, A., Masood, T., Sultan, M., Mujtaba, M. A., Imran, S., Hasan, M., Akhtar, M. S., Ayub, H. M. U., & Salman, C. A. (2022). Blockchain adoption for sustainable supply chain management: Economic, environmental, and social perspectives. Frontiers in Energy Research, 10, 899632. (Cited by 150)

2. Razzaq, L., Mujtaba, M. A., Shahbaz, M. A., Nawaz, S., Khan, H. M., Hussain, A., & others. (2022). Effect of biodiesel–dimethyl carbonate blends on engine performance, combustion and emission characteristics. Alexandria Engineering Journal, 61(7), 5111–5121.  (Cited by 33)

3. Nawaz, A., Ahmed, Z., Shahbaz, A., Khan, Z., & Javed, M. (2014). Coagulation–flocculation for lignin removal from wastewater – A review. Water Science and Technology, 69(8), 1589–1597. (Cited by 27)

4. Shahbaz, M. A., Jüngst, N., Grzeszik, R., & Kaiser, S. A. (2021). Endoscopic fuel film, chemiluminescence, and soot incandescence imaging in a direct-injection spark-ignition engine. Proceedings of the Combustion Institute, 38(4), 5869–5877. (Cited by 12)

5. Nawaz, A., Shahbaz, M. A., & Javed, M. (2015). Management of organic content in municipal solid waste – A case study of Lahore. International Journal of Environment and Waste Management, 15(1), 15–23. (Cited by 8)