Chang-Fei Yu | Environmental Science | Best Researcher Award

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Dr. Chang-Fei Yu | Environmental Science | Best Researcher Award

Doctor at Anhui University of Science and Technology, China

Yu Chang-Fei is a dedicated researcher focused on developing and analyzing dust-reducing and explosion-suppressing agents for coal mine dust. His work integrates experimental techniques with theoretical analysis to explore solutions for improving safety and reducing hazards in coal mines. He has achieved remarkable academic success and recognition, including winning the National Scholarship for Doctoral Students and receiving multiple honors for his outstanding research contributions.

Publication Profile : 

Scopus

Orcid

Google Scholar

 

🎓 Educational Background :

Ph.D. in Chemical Engineering (Expected Graduation: [Year])
Anhui University of Science and Technology, [Location]
Research focus: Development and mechanism analysis of dust reducing and explosion suppressing agents for coal mine dust.

M.Sc. in Chemical Engineering
Anhui University of Science and Technology, [Location]
Thesis: [Your Thesis Title, if applicable]
Graduated: [Year]

B.Sc. in Chemical Engineering
[Undergraduate University Name], [Location]
Graduated: [Year]

💼 Professional Experience :

Yu Chang-Fei is currently a doctoral candidate, where his research focuses on coal mine safety, particularly dust reduction and explosion suppression. His work blends practical experimental methods with cutting-edge theoretical analysis to develop innovative agents that improve coal mine safety. Through his extensive research and multiple academic achievements, Yu has shown deep expertise in the areas of coal pyrolysis, chemical safety, and industrial hazard prevention.

📚 Research Interests : 

Yu’s primary research interests lie in the development and mechanism analysis of agents designed to reduce dust and suppress explosions in coal mines. He investigates the oxidative pyrolysis characteristics of bituminous coal and the thermal decomposition of chemical agents through advanced experimental methods and computational simulations, such as density functional theory. His work aims to mitigate the risks associated with coal mining by enhancing safety measures and developing effective, sustainable agents.

📝 Publication Top Notes :

  1. Shi, S., Wang, X.-H., Jiang, B., Yu, C.-F., & Ji, B. (2024). Preparation of consolidated dust suppression materials based on pectin: Graft modification experiment and reaction mechanism. ACS Omega, 9(43), 43534–43546.
  2. Liu, S.-H., Wu, K.-F., Xu, R.-J., Yu, C.-F., & Wang, Y. (2024). Studies on the thermal stability and exothermic behaviour of imidazolium-based ionic liquid binary mixture. Journal of Thermal Analysis and Calorimetry, 149(18), 10353–10361.
  3. Zhou, Y., Jiang, B., Yu, C.-F., Yu, H., & Wang, J. (2024). Study on the effect of hydrogen bonding network structure in amphoteric surfactant solution on the wettability of coal dust. Journal of Molecular Liquids, 408, 125305.
  4. Wang, S., Shi, S., Jiang, B., Zhang, Y., & Wang, X.-H. (2024). Influence of surfactant adsorption on coal oxidation and wettability: Experimental discussion and model development. Energy, 297, 131304.
  5. Jiang, B., Li, J.-J., Su, M., Yao, Q., & Ding, D. (2024). Study on flame properties and molecular dynamics of MAP suppression for polyethylene dust explosion. Fuel, 366, 131347.
  6. Jiang, B., Zhang, Y., Zheng, Y., Zhou, Y., & Wang, Y. (2024). Effect of acid-thermal coupling on the chemical structure and wettability of coal: An experimental study. Energy, 294, 130943.
  7. Jiang, B., Ding, D., Su, M., Ji, B., & Hong, H. (2024). Experimental study on the explosion suppression characteristics of polyethylene dust by ammonium polyphosphate. Powder Technology, 437, 119491.
  8. Tao, W., Jiang, B., Zheng, Y., Yu, C.-F., & Wang, X.-H. (2024). Molecular dynamics study on the effect of inorganic salts on the wettability of surfactants on bituminous coal: Sodium dodecyl sulfate and sodium chloride as representatives. Fuel, 359, 130397.
  9. Tao, W., Jiang, B., Zheng, Y., Sun, B., & Wang, J. (2024). Effect of alkyl glycoside surfactant on the explosion characteristics of bituminous coal: Experimental and theoretical discussion. Energy, 288, 129930.
  10. Shi, S., Yu, C.-F., & Wang, S. (2024). Unveiling mechanism of coal miners’ dust prevention behaviour under force field. Iranian Journal of Science (in press).

 

 

 

Edmund Udemba | Environmental development | Best Researcher Award

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Prof. Edmund Udemba | Environmental development | Best Researcher Award

Deputy Director of Research Institute at Shanxi Tech & Business University, China

Dr. Edmund Ntom Udemba is a Professor at Shanxi Technology and Business University, China, and Deputy Director of the Low-carbon Economics Research Center. With over 70 publications in high-impact journals, his research focuses on inclusive sustainable development, integrating socio-economic, environmental, and energy concerns. He has expertise in macroeconomic growth, energy policy, trade openness, foreign direct investment, and financial development. Recognized in the Stanford University global scientist rankings for two consecutive years (2022 and 2023), he has delivered keynote addresses at numerous international conferences and has served on the editorial boards of prestigious journals. His academic journey spans roles in Nigeria, Cyprus, and Turkey, with significant contributions to the field of sustainable economic development.

Publication Profile : 

Orcid

 

🎓 Educational Background :

Dr. Edmund Ntom Udemba holds a PhD in Economics from Eastern Mediterranean University (EMU), Cyprus, with a focus on the relationship between offshore economic activities, environmental quality, and factors like economic growth, foreign direct investment (FDI), and energy consumption. Prior to his PhD, he earned both an M.Sc. and B.Sc. in Economics from EMU and Enugu State University of Science and Technology, Nigeria. His academic journey has been guided by notable supervisors, including Prof. Dr. Hassan Gungor and Assoc. Prof. Dr. ÇAĞAY COŞKUNER.

💼 Professional Experience :

Dr. Udemba currently serves as a Professor at Shanxi Technology and Business University in Taiyuan, China. He also holds the position of Deputy Director of the Low-carbon Economics Research Center. In his role, he leads research initiatives focused on inclusive sustainable development, promoting dynamic academic seminars, and securing grants to fund cutting-edge research. His academic career spans several years, with prior experience as an Assistant Professor at Istanbul Gelisim University, Turkey, where he taught courses related to international trade, finance, energy economics, and sustainable development. Dr. Udemba has over 70 publications in leading academic journals and has been recognized as one of the Top 2% Global Scientists in 2022, 2023, and 2024 by Stanford University.

📚 Research Interests : 

Dr. Udemba’s research interests lie at the intersection of socio-economic-environmental development, with a particular focus on sustainable growth, energy policies, and environmental management. He explores the dynamics between macroeconomic growth, trade openness, FDI, and financial development, with an emphasis on their effects on environmental sustainability. His research also delves into energy consumption, carbon emissions, and the role of technological innovation in inclusive sustainable development. Additionally, he investigates the implications of foreign direct investment (FDI) and offshore economic activities in relation to environmental quality and carbon neutrality goals.

📝 Publication Top Notes :

  1. Udemba, E. N. (2020). A sustainable study of economic growth and development amidst ecological footprint: New insight from the Nigerian perspective. Science of the Total Environment, 732, 139270. https://doi.org/10.xxxx/j.sciotenv.2020.139270
  2. Udemba, E. N., Magazzino, C., & Bekun, F. V. (2020). Modeling the nexus between pollutant emission, energy consumption, foreign direct investment, and economic growth: New insights from China. Environmental Science and Pollution Research, 27(15), 17831-17842. https://doi.org/10.xxxx/j.envsci.2020.17831
  3. Magazzino, C., Udemba, E. N., & Bekun, F. (2020). Modelling the nexus between pollutant emission, energy consumption, foreign direct investment, and economic growth: New insights from China. Environmental Science and Pollution Research, 27, 17831-17842. https://doi.org/10.xxxx/j.envsci.2020.17831
  4. Adebayo, T. S., Udemba, E. N., Ahmed, Z., & Kirikkaleli, D. (2021). Determinants of consumption-based carbon emissions in Chile: An application of non-linear ARDL. Environmental Science and Pollution Research, 28(32), 43908-43922. https://doi.org/10.xxxx/j.envsci.2021.43908
  5. Udemba, E. N. (2019). Triangular nexus between foreign direct investment, international tourism, and energy consumption in the Chinese economy: Accounting for environmental quality. Environmental Science and Pollution Research, 26(24), 24819-24830. https://doi.org/10.xxxx/j.envsci.2019.24819
  6. Udemba, E. N., Güngör, H., & Bekun, F. V. (2019). Environmental implication of offshore economic activities in Indonesia: A dual analysis of cointegration and causality. Environmental Science and Pollution Research, 26(31), 32460-32475. https://doi.org/10.xxxx/j.envsci.2019.32460
  7. Udemba, E. N. (2019). Offshore economic activities and environmental quality: Nexus among economic growth (GDP), foreign direct investment (FDI), trade openness, energy consumption, and carbon (CO2) dioxide emission. PhD Thesis, Eastern Mediterranean University.
  8. Udemba, E. N., Güngör, H., Bekun, F. V., & Kirikkaleli, D. (2021). Economic performance of India across high CO2 emissions. Sustainable Production and Consumption, 27, 52-60. https://doi.org/10.xxxx/j.spc.2021.52
  9. Udemba, E. N. (2020). Mediation of foreign direct investment and agriculture towards ecological footprint: A shift from single perspective to a more inclusive perspective for India. Environmental Science and Pollution Research, 27(21), 26817-26834. https://doi.org/10.xxxx/j.envsci.2020.26817
  10. Udemba, E. N., Kamil, A. A., & Özaydın, O. (2022). Environmental performance of Turkey amidst foreign direct investment and agriculture: A time series analysis. Journal of Public Affairs, 22(2), e2441. https://doi.org/10.xxxx/j.jpa.2022.2441
  11. Udemba, E. N. (2020). Ecological implication of offshore economic activities in Turkey: Foreign direct investment perspective. Environmental Science and Pollution Research, 27(30), 38015-38028. https://doi.org/10.xxxx/j.envsci.2020.38015
  12. Udemba, E. N., & Agha, C. O. (2020). Abatement of pollutant emissions in Nigeria: A task before multinational corporations. Environmental Science and Pollution Research, 27(21), 26714-26724. https://doi.org/10.xxxx/j.envsci.2020.26714
  13. Koondhar, M. A., Udemba, E. N., Cheng, Y., Khan, Z. A., Koondhar, M. A., Batool, M., & Kong, R. (2021). Asymmetric causality among carbon emission from agriculture, energy consumption, fertilizer, and cereal food production: A nonlinear analysis for Pakistan. Sustainable Energy Technologies and Assessments, 45, 101099. https://doi.org/10.xxxx/j.seta.2021.101099
  14. Udemba, E. N. (2021). Nexus of ecological footprint and foreign direct investment pattern in carbon neutrality: New insight for United Arab Emirates (UAE). Environmental Science and Pollution Research, 28(26), 34367-34385. https://doi.org/10.xxxx/j.envsci.2021.34367
  15. Udemba, E. N. (2021). Mitigating environmental degradation with institutional quality and foreign direct investment (FDI): New evidence from asymmetric approach. Environmental Science and Pollution Research, 28(32), 43669-43683. https://doi.org/10.xxxx/j.envsci.2021.43669
  16. Udemba, E. N. (2019). The triangular nexus causality among economic growth, trade, FDI and oil price: Time series analyzes of Nigeria. OPEC Energy Review, 43(4), 470-491. https://doi.org/10.xxxx/j.opec.2019.470

 

 

 

Fouokeng Georges Collince | Information Theory | Best Researcher Award

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Assoc. Prof. Dr. Fouokeng Georges Collince | Information Theory | Best Researcher Award

G.C. Fouokeng at University of Dschang, Cameroon

Dr. Georges Collince Fouokeng is a highly experienced Associate Professor in Quantum Physics at the University of Dschang, Cameroon. His research spans condensed matter physics, quantum information science, and nanomaterials, with a particular focus on understanding quantum coherence, decoherence, and phase transitions. He is also an active educator, having held significant administrative roles aimed at fostering academic innovation. With a robust publication record and a passion for advancing scientific research, Dr. Fouokeng is dedicated to bridging the gap between theoretical quantum science and practical technological applications.

Publication Profile : 

Google Scholar

 

🎓 Educational Background :

  • Doctorate (Ph.D.) in Condensed Matter Physics, University of Dschang, Cameroon (2015)
  • Master’s in Condensed Matter Physics, University of Dschang, Cameroon (2009)

💼 Professional Experience :

Dr. Georges Collince Fouokeng is an accomplished educator and researcher with over a decade of academic experience. He began his teaching career as a part-time lecturer at the National Polytechnic of Bambui (2010-2012) and later joined the Institut Universitaire de la Côte in Douala, where he held roles as Assistant Lecturer (2015-2016) and Lecturer (2016-2020). In 2022, he was promoted to Associate Professor at the University of Dschang, Faculty of Science.

Dr. Fouokeng has also contributed significantly to academic administration, having served as:

  • Head of the Industrial Masters Department (2018-2019)
  • Coordinator of the Research Innovation Entrepreneurship Pole (2017-2019)
  • Head of the Academic Activities Monitoring Unit (2015-2019)
  • Coordinator for Teaching and Research Monitoring (2017-2018)

Additionally, he is the Leader of the ERASMUS+ 2023-2025 Project, promoting academic collaboration between University of Dschang and University of Maine le Mans in France.

📚 Research Interests : 

Dr. Fouokeng’s research focuses on Quantum Science, with particular expertise in:

  • Condensed Matter & Nanomaterials
  • Quantum Information Theory & Quantum Computing
  • Decoherence & Quantum Phase Transitions

His work has led to significant contributions in the study of quantum coherence, spin dynamics, and phase transitions in systems affected by environmental noise, as well as advances in metamagnetoelectric effects in multiferroic materials.

📝 Publication Top Notes :

  1. Fouokeng, G. C., Tchoffo, M., Moussiliou, S., Ngana Kuetche, J. C., Fai, L. C., & Siaka, M. (2014). Effect of noise on the decoherence of a central electron spin coupled to an antiferromagnetic spin bath. Advances in Condensed Matter Physics, 2014, Article ID 526205. https://doi.org/10.1155/2014/526205
  2. Fouokeng, G. C., Tchoffo, M., et al. (2014). The quenching field effect on the motion of an electron in an electromagnetic field potential. Modern Physics Letters B, 28(14), 1450058. https://doi.org/10.1142/S0217984914500581
  3. Fouokeng, G. C., Tchoffo, M., Ateuafack, M. E., & Fai, L. C. (2014). Dynamics of a central electron spin coupled to an anti-ferromagnetic spin bath driven by a variable magnetic field in the Landau-Zener scenario. European Physical Journal Plus, 129, 151. https://doi.org/10.1140/epjp/i2014-14151-9
  4. Fai, L. C., Diffo, J. T., Ateuafack, M. E., Tchoffo, M., & Fouokeng, G. C. (2014). Dynamics of a Landau-Zener nondissipative system with fluctuating energy levels. Physica B, 454, 157–164. https://doi.org/10.1016/j.physb.2014.02.012
  5. Tchoffo, M., Fouokeng, G. C., Fai, L. C., & Ateuafack, M. E. (2013). Thermodynamic properties and decoherence of a central electron spin of an atom coupled to an anti-ferromagnetic spin bath. Journal of Quantum Information Science, 3(1), 10–15. https://doi.org/10.4236/jqis.2013.31002
  6. Tchoffo, M., Ngana Kuetche, J. C., Moussiliou, S., Fouokeng, G. C., Fai, L. C., Beilinson, A. A., & Kenné, J. P. (2012). Decoherence of a Brownian particle in a double-well magnetic potential field. Far East Journal of Applied Mathematics, 68(1), 21–28.
  7. Tchoffo, M., Fouokeng, G. C., Moussiliou, S., Afuoti, N. E., Nsangou, I., Fai, L. C., Tchouadeu, A. G., & Kenné, J. P. (2012). Effect of the variable B-field on the dynamics of a central electron spin coupled to an anti-ferromagnetic qubit bath. World Journal of Condensed Matter Physics, 2, 246–256. https://doi.org/10.4236/wjcmp.2012.23033
  8. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Afuoti, N. E. (2014). Decoherence induced by a quenching driven field on the motion of a single electron. Physical Review & Research International, 4(2), 267–282.
  9. Tchoffo, M., Fouokeng, G. C., Fai, L. C., Ngoufo, L. A., & Diffo, J. T. (2014). Brownian particle’s decoherence in the double-well magnetic potential field. The African Review of Physics, 9(2), 207–215.
  10. Tchoffo, M., Ngana Kuetche, J. C., Fouokeng, G. C., Afuoti, N. E., & Fai, L. C. (2014). Kinematical Brownian motion of the harmonic oscillator in non-commutative space. American Journal of Modern Physics, 3(3), 138–142. https://doi.org/10.11648/j.ajmp.20140303.13
  11. Fai, L. C., Afuoti, N. E., Fouokeng, G. C., Ngana Kuetche, J. C., Tchoffo, M., & Kenné, J. P. (2014). Tailoring quantum correlations of a coupled central two qubits soaked in a finite temperature antiferromagnetic environment with frequency gap. Journal of Quantum Information Science, 4, 201–213. https://doi.org/10.4236/jqis.2014.44018
  12. Tchoffo, M., Fouokeng, G. C., Tendong, E., Fai, L. C. (2016). Dzyaloshinskii–Moriya interaction effects on the entanglement dynamics of a two-qubit XXZ spin system in non-Markovian environment. Journal of Magnetism and Magnetic Materials, 407, 358–364. https://doi.org/10.1016/j.jmmm.2016.02.073
  13. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Ngwa, E. A. (2016). Thermal activation process in hydrogen bonds. World Journal of Molecular Research, 1(1), 14–26.
  14. Tchoffo, M., Kenfack, L. T., Fouokeng, G. C. (2016). Quantum correlations dynamics and decoherence of a three-qubit system subject to classical environmental noise. European Physical Journal Plus, 131, 380. https://doi.org/10.1140/epjp/i2016-16380-1
  15. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Ngwa, E. A. (2016). Thermal activation process in hydrogen bonds. World Journal of Molecular Research, 1(1), 14–26.
  16. Tchoffo, M., Tsamouo, T. A., Fouokeng, G. C. (2017). Time evolution of quantum correlations in superconducting flux-qubits under classical noises. International Journal of Quantum Information, 15(2), 1750015. https://doi.org/10.1142/S0219749917500159
  17. Kenfack, L. T., Tchoffo, M., Fouokeng, G. C., & Fai, L. C. (2017). Effects of static noise on the dynamics of quantum correlations for a system of three qubits. International Journal of Modern Physics, 31(8), 1750046. https://doi.org/10.1142/S0217979217500465
  18. Diffo, J. T., Ateuafack, M. E., Fouokeng, G. C., Fai, L. C., Tchoffo, M. (2017). Interplay between Landau-Zener transition dynamic and quantum phase transition in dissipative spin chain with Dzyaloshinsky-Moriya interaction. Superlattices and Microstructures, 111, 310–318. https://doi.org/10.1016/j.spmi.2017.05.038
  19. Kenfack, L. T., Tchoffo, M., Fouokeng, G. C., Fai, L. C. (2017). Dynamics of tripartite quantum correlations in mixed classical environments: The joint effects of random telegraph and static noises. International Journal of Quantum Information, 15(5), 1750038. https://doi.org/10.1142/S0219749917500382
  20. Kenfack, L. T., Tchoffo, M., Fai, L. C., Fouokeng, G. C. (2017). Decoherence and tripartite entanglement dynamics in the presence of Gaussian and non-Gaussian classical noise. Physica B, 511, 123–133. https://doi.org/10.1016/j.physb.2017.03.008

 

 

 

Pooja Iyer | Advertising | Best Researcher Award

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Dr. Pooja Iyer | Advertising | Best Researcher Award

Assistant Professor at CU Boulder, United States

Pooja Iyer is a Ph.D. candidate in Advertising at the University of Texas at Austin and a Tenure-Track Assistant Professor at the University of Colorado, Boulder. Her research interests include the intersection of big data, AI, advertising, and digital privacy. She has a decade of experience in the advertising industry and has held key roles at leading agencies like GSD&M and Maxus/Wavemaker. Pooja is passionate about bridging the gap between academic research and industry practice, with a focus on consumer behavior, media strategy, and digital ethics. 📊📱💡

Publication Profile : 

Orcid

 

🎓 Educational Background :

  • Ph.D. in Advertising (2024)
    University of Texas at Austin

    • Committee Members: Laura Bright (Chair), Lucy Atkinson, Deena Kemp, Sharon Strover, Samuel Woolley
  • M.A. in Advertising (2010)
    Syracuse University
  • B.S. in Electronic Media (2007)
    Madras University, India

💼 Professional Experience :

Pooja Iyer is a seasoned researcher and educator with a decade of experience in both academia and the advertising industry. Currently a Tenure-Track Assistant Professor at the University of Colorado at Boulder, she teaches in the Department of Advertising, Public Relations, and Media Design. She has taught a range of courses at University of Texas at Austin, including Advertising/PR Research and Psychology of Advertising. Her expertise spans media strategy, digital advertising, and consumer behavior. Before transitioning into academia, Pooja held leadership roles in the advertising industry, including positions at GSD&M (Austin) and Maxus/Wavemaker (New York), where she led media strategy for major brands like Whole Foods, Popeyes, and the American Petroleum Institute. Additionally, she worked as a Marketing Consultant at Squarecap (Austin) and was involved in multicultural marketing at 9.8 Group in New York. Her professional experience bridges the gap between academic research and industry applications, providing a practical perspective to her teaching and research.

📚 Research Interests : 

Pooja’s research focuses on the intersection of big data, advertising, and digital privacy. She is particularly interested in how emerging technologies like artificial intelligence and big data are reshaping the advertising industry, affecting consumer behavior, personalization, and digital surveillance. Her work also explores the social and ethical dimensions of algorithmic decision-making in advertising, privacy concerns, and the role of propaganda in political advertising. Her research spans a wide range of areas, including media effects, advertising curriculum reform, and consumer sentiment analysis.

📝 Publication Top Notes :

  1. Iyer, P., & Bright, L. F. (2024). Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners. Journal of Business Research. DOI: 10.1016/j.jbusres.2024.114699
  2. Salopek, A. H., Sussman, K. L., & Iyer, P. (2024). Emotional contagion as the new propaganda? In Handbook of Communication and Emotion. DOI: 10.4324/9781003409427-4
  3. Iyer, P. (2024). Consumer data and privacy fiduciaries: A comparison based on balance of power and consumer agency. Conference Proceedings.

 

 

 

Andrews Tang | Artificial Neural Networks | Best Researcher Award

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Mr. Andrews Tang | Artificial Neural Networks | Best Researcher Award

DIPPER Lab at KNUST, Ghana

👨‍🎓 Andrews Tang is a passionate computer engineering researcher from Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. With a deep interest in deep learning and computer vision, Andrews has worked on impactful projects in areas such as agricultural quality control, food safety, and aviation safety. His work, which includes the development of deep learning models for detecting red palm oil adulteration and tomato condition assessment, aims to address critical challenges in the African context. He is a recipient of multiple academic honors, including the Excellent Student’s Award and has presented at international conferences such as AfricAI and Deep Learning Indaba. Andrews also contributes as a teaching assistant and mentor in his field, shaping the next generation of computer engineering students. 🚀

Publication Profile : 

Google Scholar

 

🎓 Educational Background :

🎓 Bachelor of Science in Computer Engineering
Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana (2018-2022)
• First Class Honours
• Cumulative Weighted Average (CWA): 76.18%
• Final CGPA: 3.74/4.0 (WES Evaluation)

💼 Professional Experience :

Andrews Tang has a strong academic foundation and extensive research experience at KNUST, where he has worked on groundbreaking projects with the DIPPER Lab and Responsible AI Lab (RAIL). As an Undergraduate Researcher and Research Assistant, he has tackled diverse challenges, from designing a decentralized food traceability system for Ghana’s agricultural supply chain to developing innovative deep learning models for detecting palm oil adulteration using GhostNet and SqueezeNet. In the field of Aviation Safety, Andrews is currently working as a Machine Learning Engineer, focusing on enhancing the accuracy of the Instrument Landing System (ILS) for low-visibility conditions, where his predictive models have improved flight safety protocols. His other work includes contributions to EEG report classification, sign language recognition, and mineral ore recovery predictions. Alongside his technical expertise, Andrews actively participates in mentorship and teaching roles, providing guidance in computer vision and secure network systems to undergraduate students at KNUST.

📚 Research Interests : 

🔍 Deep Learning
📷 Computer Vision
🧠 AI in Agriculture and Food Safety
🌐 Blockchain in IoT
✈️ Machine Learning for Aviation Safety

Awards & Honors:

🏆 Excellent Student’s Award (2020, 2022, 2023)
🏆 Best Poster Award, Deep Learning Indaba, Accra, 2023
🌍 Member, Black in AI Fellowship, 2024

📝 Publication Top Notes :

  • Tchao, E. T., Gyabeng, E. M., Tang, A., Benyin, J. B. N., Keelson, E., & Kponyo, J. J. (2022). “An Open and Fully Decentralized Platform for Safe Food Traceability.” 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, pp. 487-493.
    DOI: 10.1109/CSCI58124.2022.00092
  • Tang, A., Agbemenu, A. S., Tchao, E. T., Keelson, E., Klogo, G. S., & Kponyo, J. J. (2024). “Assessing Blockchain and IoT Technologies for Agricultural Food Supply Chains in Africa: A Feasibility Analysis.” Heliyon, 10(4), e34584.
    DOI: 10.1016/j.heliyon.2024.e34584
  • Gyabeng, E. M., Tang, A., Agbemenu, A. S., Zaukuu, J. Z., Keelson, E., & Tchao, E. T. (2024). “AfroPALM – Afrocentric Palm Oil Adulteration Learning Models: An End-to-End Deep Learning Approach for Detection of Palm Oil Adulteration in West Africa.” LWT – Journal of Food Science and Technology. Preprint available at SSRN:
    https://ssrn.com/abstract=4917970
    Revised Manuscript Under Review By Elsevier LWT Journal.

 

 

 

Lin Zhang | Animal Ecophysiology | Best Researcher Award

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Dr. Lin Zhang | Animal Ecophysiology | Best Researcher Award

Associate Professor at Hubei University of Chinese Medicine, China

Dr. Lin Zhang is an Associate Professor at the School of Basic Medical Sciences, Hubei University of Chinese Medicine 🏫🔬. With a background in Ecology, Biochemistry, and Molecular Biology, his research focuses on the bioenergetics of ectotherms 🦎, examining how climate change impacts their metabolism and survival strategies 🌡️. He has conducted extensive fieldwork across China 🌍, contributing to significant studies in evolutionary physiology and metabolic scaling 🧬. As an active editorial board member and reviewer 📝, Dr. Zhang continues to influence scientific understanding in ecophysiology and evolution.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Lin Zhang holds a Ph.D. in Ecology from Nanjing Normal University (2013–2017), where his research focused on ecological systems. Prior to that, he completed a Master’s degree in Biochemistry and Molecular Biology and a Bachelor’s degree in Biology, both from Yunnan Normal University (2005–2012), specializing in molecular and cellular biology.

💼 Professional Experience :

Dr. Zhang is currently an Associate Professor at the School of Basic Medical Sciences, Hubei University of Chinese Medicine in Wuhan, China (Dec. 2022–Present). Before this, he served as an Assistant Professor at the same institution (Oct. 2020–Dec. 2022), where he led research on the bioenergetics of ectotherms, particularly tropical lizards, and explored how climate change influences their overwintering strategies. He also investigated macro-evolution in squamates, focusing on metabolism, activity, and reproduction. From 2017 to 2020, he was an Assistant Professor at the College of Life and Environmental Sciences, Hangzhou Normal University. His research includes significant fieldwork in various Chinese provinces, with over 58 months of field experience spanning locations from Qinghai to Hainan.

📚 Research Interests : 

Dr. Zhang’s research interests primarily center around ecophysiology, evolutionary physiology, and bioenergetics, with a particular focus on ectotherms. His work examines how environmental factors, such as climate warming, influence the metabolic rates, thermoregulation, and overwintering strategies of species like lizards and turtles. He also investigates macro-evolutionary patterns in reptiles, the role of gut microbiota, and metabolic scaling in squamates. Dr. Zhang is dedicated to understanding how environmental stressors and climate change affect physiological and ecological adaptations in wildlife, especially in reptiles and other ectothermic organisms.

📝 Publication Top Notes :

  1. Zhang, L., Zhang, K., Yang, F., Dayananda, B., Cao, Y., Hu, Z., & Liu, Y. (2024). Chromosome-level genome of Scolopendra mutilans provides insights into its evolution. Integrative Zoology. DOI: 10.1111/1749-4877.12871.
  2. Cao, Y., Mo, W., Li, Y., Xiong, Y., Wang, H., Zhang, Y., Lin, M., Zhang, L., & Li, X. (2024). Functional characterization of tung tree NBS-LRR genes reveals an NBS-LRR gene that mediates resistance against Fusarium wilt. BMC Biology, 22, 45.
  3. Cao, Y., Li, Q., & Zhang, L. (2023). The core triacylglycerol toolbox in woody oil plants reveals targets for oil production bioengineering. Frontiers in Plant Science, 14, 1170723.
  4. Zhang, L., Li, N., Dayananda, B., Wang, L., Chen, H., & Cao, Y. (2022). Genome-wide identification and phylogenetic analysis of TRP gene family members in Saurian. Animals, 12, 3593.
  5. Jiang, L., Fan, T., Wang, L., Zhang, L., & Xu, J. (2022). Divergence of flowering-related genes to control flowering in five Euphorbiaceae genomes. Frontiers in Plant Science, 13, 1015114.
  6. Cao, Y., Li, Y., Wang, L., Zhang, L., & Jiang, L. (2022). Evolution and function of ubiquitin-specific proteases (UBPs): Insight into seed development roles in plants. International Journal of Biological Macromolecules, 221, 796–805.
  7. Li, N., Tang, N., Wang, Z., & Zhang, L. (2022). Response of different waterbird guilds to landscape changes along the Yellow Sea coast: A case study. Ecological Indicators, 142, 109928.
  8. Zhang, L., Dayananda, B., Xia, J.-G., & Sun, B.-J. (2022). Editorial: Ecophysiological analysis of vulnerability to climate warming in ectotherms. Frontiers in Ecology and Evolution, 11, 946836.
  9. Zhang, L., Yang, F., Li, T., Dayananda, B., Lin, L., & Lin, C. (2022). Lessons from the diet: Captivity and sex shape the gut microbiota in an oviparous lizard (Calotes versicolor). Ecology and Evolution, 12, e8586.
  10. Zhang, L., Yang, F., Li, N., & Dayananda, B. (2021). Environment-dependent variation in gut microbiota of an oviparous lizard (Calotes versicolor). Animals, 11, 2461.
  11. Zhang, L., Yang, F., & Zhu, W.-L. (2021). Evidence for the ‘rate-of-living’ hypothesis in mammals and lizards but not in birds, with field metabolic rate. Comparative Biochemistry and Physiology A, 255, 110867.
  12. Cheng, K., Zhang, L., Wang, J., Xu, C., & Lu, H. (2020). Metabolic expenditure and feeding performance in hatchling yellow pond turtles (Mauremys mutica) from different incubation temperatures. Aquaculture, 516, 734627.
  13. Zhang, L., Guo, K., Zhang, G.-Z., Lin, L.-H., & Ji, X. (2018). Evolutionary transitions in body plan and reproductive mode alter maintenance metabolism in squamates. BMC Evolutionary Biology, 18, 45.
  14. Zhang, L., Yang, F., Wang, Z., & Zhu, W. (2017). Role of thermal physiology and bioenergetics on adaptation in tree shrew (Tupaia belangeri): The experiment test. Scientific Reports, 7, 41352.
  15. Zhang, L., Yang, F., Cai, J., Huang, C., Wang, Z., & Zhu, W. (2015). The role of photoperiod on the expression of hypothalamic genes regulating appetite in Chevrier’s field mouse (Apodemus chevrieri). Animal Biology, 65, 45–56.

 

 

 

Wenlong Zhang | Oilfield chemicals | Best Researcher Award

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Dr. Wenlong Zhang | Oilfield chemicals | Best Researcher Award

Lecturer at Wenlong Zhang, Changzhou University, China

Dr. Wenlong Zhang is a dedicated lecturer at Changzhou University, specializing in oilfield chemistry and advanced materials. His research focuses on innovative solutions for enhancing hydraulic fracturing and Enhanced Oil Recovery (EOR) through the development of viscoelastic surfactants, water-soluble polymers, nanofluids, and degradable materials 🛢️💡. With a deep commitment to exploring new chemical formulations, he has made significant strides in improving wettability alteration and surfactant adsorption for more efficient oil recovery 🌍⚡.

Publication Profile : 

Scopus

Orcid

 

🎓 Educational Background :

Dr. Zhang holds a PhD in Chemical Engineering and has built an impressive academic and professional portfolio. His expertise lies in colloids, interfaces, and oilfield chemicals, applying these to real-world challenges in energy production 🌱💧.

💼 Professional Experience :

Dr. Zhang has been actively engaged in academic research for several years, contributing significantly to the fields of oilfield chemistry, material science, and hydraulic fracturing. He has led numerous projects that bridge the gap between industry needs and academic research, with a focus on developing environmentally friendly and sustainable materials for oil extraction and other industrial applications 🏗️🌿. His work has not only contributed to theoretical advancements but has also been instrumental in practical applications, evidenced by his ongoing industry collaborations and patent applications 🏅📈.

📚 Research Interests : 

  • Viscoelastic surfactants & water-soluble polymers
  • Nanofluids for energy applications
  • Wettability alteration in petroleum systems
  • Surfactant adsorption and their impact on oil recovery
  • Degradable materials for environmentally conscious technologies 🌐🛢️

📝 Publication Top Notes :

  1. Zhang, W., Mao, J., Yang, Y., Yang, X., & Wang, L. (2024). The development and performance of a Gemini viscoelastic surfactant with tricationic groups applied in unconventional oil and gas reservoir stimulation. ChemistrySelect, 9(23), e202400399.
  2. Zhang, W., Wan, L., Fan, Y., Zhang, Y., & Wang, L. (2023). Construction and mechanism study of clean N2 foam fracturing fluid stabilized by viscoelastic surfactant in concentrated brines for unconventional oil and gas. Journal of Molecular Liquids, 390, 123168.
  3. Zhang, W., Wang, L., Li, H., Liu, X., & Wang, L. (2023). A Gemini viscoelastic surfactant stabilized by steric hindrance group on its spacer to construct wormlike micelle structure in concentrated brines. Journal of Molecular Liquids, 385, 122275.
  4. Shen, J., Lu, P., Zhang, W., Wang, L., & Wang, L. (2023). Fabrication of porous titanium-based β-PbO2 electrode with graphene oxide intermediate layer for enhanced electrochemical performance in degradation of 4-chloro-2-nitrophenol. International Journal of Electrochemical Science, 18(12), 100377.
  5. Huang, Z., Mao, J., Cun, M., Liu, B., & Xiao, Y. (2022). Polyhydroxy cationic viscoelastic surfactant for clean fracturing fluids: Study on the salt tolerance and the effect of salt on the high temperature stability of wormlike micelles. Journal of Molecular Liquids, 366, 120354.
  6. Jia, Z., Zuo, C., Cai, H., Yin, J., & Zhang, W. (2022). A salt-resistant sodium carboxymethyl cellulose modified by the heterogeneous process of oleate amide quaternary ammonium salt. Polymers, 14(22), 5012.
  7. Zhang, W., Mao, J., Jia, Z., Bao, D., & Zeng, W. (2021). Design of a salt-tolerant Gemini viscoelastic surfactant and the study of construction of wormlike micelle structure in high-salinity aqueous environment. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 631, 127653.
  8. Cun, M., Mao, J., Sun, H., Lin, C., & Huang, Z. (2021). Development of a novel temperature-resistant and salt-resistant double-cationic surfactant with “super thick hydration layer” for clean fracturing fluid. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 617, 126306.
  9. Tian, J., Mao, J., Zhang, W., Lin, C., & Cun, M. (2021). Salinity- and heat-tolerant VES (viscoelastic surfactant) clean fracturing fluids strengthened by a hydrophobic copolymer with extremely low damage. ChemistrySelect, 6(9), 2126–2143.
  10. Bao, D., Zhou, C., Wang, L., Jia, Z., & Zhang, W. (2021). Sealing mechanism based on force chain and experimental investigation of sealing fractures. Lithosphere, 2021(Special Issue 1), 2573782.

 

 

 

Hongyun Zhang | Materials surface | Best Researcher Award

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Prof. Dr. Hongyun Zhang | Materials surface | Best Researcher Award

Professor and CNKI review specialist at Kaili University, China

Hongyun Zhang is a Professor at the School of Big Data Engineering, Kaili University, China, with expertise in superhydrophobicity, icephobic materials, and sensor technology, as well as teaching for the Internet of Things. He earned his Ph.D. from Xiangtan University in 2013, later joining Kaili University as an associate professor. Zhang has published over 40 articles, including 11 SCI and ESCI papers, and holds five national patents. His research projects have been funded by the Guizhou Province Science and Technology Department, and he serves as a review specialist in CNKI’s expert database. Zhang’s work has received 207 citations, and he actively contributes to innovations in material science and device engineering.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Hongyun Zhang earned his Ph.D. from Xiangtan University in June 2013. His academic journey began with a career as a middle school teacher in Zhejiang Province, China, before he advanced to become an associate professor at Kaili University in Guizhou Province. Alongside his academic role, Dr. Zhang was invited to serve as the director of the postgraduate program at Hangzhou Normal University.

💼 Professional Experience :

Currently a professor at the School of Big Data Engineering, Kaili University, Dr. Zhang brings extensive experience to his teaching and research. He has contributed significantly to basic education and higher education, with a focus on scientific experiments and the Internet of Things (IoT). As a CNKI review specialist, he is actively involved in academic evaluations and also serves as a senior evaluator for professional technical positions in Qiandongnan state. Furthermore, he is one of the first batch of innovation and entrepreneurship tutors in Guizhou Province.

📚 Research Interests : 

Dr. Zhang’s research spans the fields of superhydrophobicity, icephobic materials, and the development of physical devices as sensors. His work focuses on understanding the thermodynamics of wetting behavior and microstructures for surfaces, contributing to advancements in anti-icing technology and materials science. His research has resulted in numerous publications in top-tier scientific journals, with over 200 citations. He is also working on an upcoming teaching book for IoT engineering.

📝 Publication Top Notes :

  1. Hongyun Zhang, Wen Li*, Guo Ping Fang. “A New Model for Thermodynamic Analysis on Wetting Behavior of Superhydrophobic Surfaces.” Applied Surface Science, 2012, 258, 2707-2716. (SCI)
  2. Hongyun Zhang*, Wen Li*, Daoyi Cui. “Design of Lotus-Simulating: Thermodynamic Analysis Based on a New Methodology.” Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2012, 413, 314-327. (SCI)
  3. Hongyun Zhang*, Wen Li*, Haihua Liu, Daoyi Cui. “Thermodynamic Analysis on Superhydrophobicity Based on Design of a Pillar Model.” Soft Matter, 2012, 8, 10360-10369. (SCI)
  4. Hongyun Zhang*, Wen Li*, Xiaokai Zhang, Fahong Miao, Li Taohai, Haihua Liu. “Determination of the Second Step Microstructures for Superhydrophobic Surfaces.” Surface and Interface Analysis, 2013, 45, 919-929. (SCI)
  5. Hongyun Zhang*, Yousheng Yu, Jinfu Pan, Song Zhang, Xueke Wu, Yongliang Yang. “Structure and Property Analysis for a Superhydrophobic Surface Model with Multi-Scale.” Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2016, 505, 72-85. (SCI)
  6. Hongyun Zhang*, Yongliang Yang, Hu Long, Jie Yang. “Study for Critical Roughness Based on Interfacial Energy.” Physica B: Condensed Matter, 2018, 542, 20-31. (SCI)
  7. Hongyun Zhang*, Yongliang Yang, Hu Long, Lianshuai Huang, Xiaokai Zhang. “Compare Study Between Icephobicity and Superhydrophobicity.” Physica B: Condensed Matter, 2019, 556, 118-130. (SCI)
  8. Hongyun Zhang*, Yongliang Yang, Hu Long, Lianshuai Huang, Xiaokai Zhang, Jie Yang. “Thermodynamic Method for Establishment of Relationship Between Hydrophobicity/Icephobicity and Microstructure.” MethodX, 2019, 6, 513-526. (ESCI)
  9. Hongyun Zhang*, Manlin Ou, Houbing Tang, Yongliang Yang. “Selection of Second Step Micro-Morphology for Anti-Icing Surfaces Based on Icing Time.” Materials Today Communications, 2024, 39, 109099. (SCI)
  10. Hongyun Zhang*, Yongliang Yang, Jinfu Pan. “Measurement for Overweight and Weightlessness.” Experimental Technology and Management, 2019, 36(04), 83-86. (CSCD)
  11. Hongyun Zhang, Xiaokai Zhang, Yongliang Yang*. “Analysis of Difference in Micro-Morphology for Anti-Icing Based on Adhesion Work.” Journal of Shihezi University (Natural Science), 2024, 42(04), 404-413. (CSCD)
  12. Haihua Liu, Hongyun Zhang, Wen Li*. “Thermodynamic Analysis on Wetting Behavior of Hierarchical Structured Superhydrophobic Surfaces.” Langmuir, 2011, 27(10), 6260-6267. (SCI)
  13. Yazhuo Guan, Hongyun Zhang, Wen Li*. “First-Principle Study on Alloying Stability, Electronic Structure, and Mechanical Properties of Al-Based Intermetallics.” Physica B, 2011, 406, 1149-1153. (SCI)

 

 

 

Jingcai Yu | Transportation | Best Researcher Award

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Dr. Jingcai Yu | Transportation | Best Researcher Award

lecturer at Xihua University, China

Dr. Jingcai Yu is a dedicated transportation engineer and researcher with expertise in public transportation and traffic safety. He earned his Doctor of Engineering degree from Southeast University’s School of Transportation, where he specialized in travel behavior modeling and transit adoption studies. Currently based at Xihua University in Chengdu, China, Dr. Yu has published extensively in peer-reviewed journals, contributing valuable insights into the effects of attitudes, sociodemographic factors, and traffic conditions on transit and mobility choices. His work addresses emerging challenges in urban mobility, particularly through studies on flexible transit routes and shared autonomous vehicles, highlighting his commitment to advancing sustainable and efficient transportation solutions.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Jingcai Yu completed his Doctorate in Engineering in Transportation at the School of Transportation, Southeast University, China. His doctoral research focused on public transportation, travel behavior modeling, and traffic safety, areas in which he has since made numerous academic contributions.

💼 Professional Experience :

Dr. Yu is currently based at Xihua University in Chengdu, China, where he holds an academic position. He engages in teaching, research, and academic mentorship, primarily within the field of transportation engineering. Through his role at Xihua University, Dr. Yu applies his expertise in public transit systems, travel behavior analysis, and transportation safety to help address urban mobility challenges. His work includes investigating the factors influencing the adoption of flexible route transit systems, carsharing, and shared autonomous vehicles. Dr. Yu’s research outputs, published in prestigious journals, have significantly contributed to the fields of transportation safety, autonomous vehicle studies, and public transit utilization.

📚 Research Interests : 

Dr. Jingcai Yu’s research interests encompass public transportation systems, travel behavior modeling, and traffic safety. He focuses on innovative transit solutions such as flex-route transit systems, shared autonomous vehicles, and carsharing. His work also investigates factors affecting crash severity and traffic violations, as well as advanced prediction models for urban traffic flow.

📝 Publication Top Notes :

  1. Yu, J., Wang, S., Wang, B., Li, W., & Feng, T. (2024). Effects of COVID-19 on Flex Route Transit Utilization: An Interrupted Time Series Analysis. Research in Transportation Business & Management, 50, 101230.
  2. Yu, J., Li, W., Yin, Z., Zheng, Y., & Guo, R. (2024). Segmenting and exemplifying potential Flex route transit adopters. Transportation Research Record, 2678(9), 791-806. (SCI)
  3. Yu, J., Lin, Q., Ding, H., Li, W., & Feng, T. (2024). Examining individuals’ adoption of flex route transit. Transportation Planning and Technology, 47(7), 996-1021. (SCI)
  4. Yu, J., Li, W., Song, Z., Wang, S., Ma, J., & Wang, B. (2023). The role of attitudinal features on shared autonomous vehicles. Research in Transportation Business & Management, 50, 101032. (SCI)
  5. Yu, J., Wang, S., Ma, J., Song, Z., & Li, W. (2023). Roles of attitudinal factors on the adoption stages of carsharing. Transportation Letters, 16(6), 542-553. (SCI)
  6. Yu, J., Zheng, Y., Li, W., Zhang, J., Guo, R., & Wu, L. (2023). Understanding Flex-Route Transit Adoption from a Stage of Change Perspective. Transportation Research Record, 2677(6), 743-758. (SCI)
  7. Yu, J., Li, W., Zhang, J., Guo, R., & Zheng, Y. (2023). Understanding the effect of sociodemographic and psychological latent characteristics on flex-route transit acceptance. PLOS ONE, 18(2), e0279058. (SCI)
  8. Wang, S., Yu, J.*, & Ma, J. (2023). Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities. Travel Behaviour and Society, 33, 100636. (SCI)
  9. Ma, J., Ren, G., Li, H., & Yu, J. (2022). Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China. Journal of Transportation Safety & Security, 1-21. (SCI)
  10. Wang, S., Li, Z., Wang, B., & Yu, J. (2022). Velocity obstacle-based collision avoidance and motion planning framework for connected and automated vehicles. Transportation Research Record, 2676(5), 748-766. (SCI)
  11. Zheng, Y., Wang, S., Li, W., & Yu, J. (2022). Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism. Physica A: Statistical Mechanics and its Applications, 608, 128274. (SCI)
  12. Ma, J., Ren, G., Wang, S., & Yu, J. (2022). Characterizing the effects of contributing factors on crash severity involving e-bicycles: A study based on police-reported data. International Journal of Injury Control and Safety Promotion, 29(4), 463-474. (SCI)
  13. Ma, J., Ren, G., Fan, H., Wang, S., & Yu, J. (2021). Determinants of traffic violations in China: A case-study with a partial proportional odds model. Journal of Transportation Safety & Security, 1-21. (SCI)

 

 

 

Kothai Ganesan | Computer Vision | Best Researcher Award

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Assist. Prof. Dr. Kothai Ganesan | Computer Vision | Best Researcher Award

Assistant Professor at KPR Institute of Engineering and Technology, India

Dr. Kothai Ganesan is an Assistant Professor in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KPR Institute of Engineering and Technology. She holds a Bachelor’s degree and Master’s degree in Engineering from Anna University and a Ph.D. from SRM Institute of Science and Technology, with research focusing on Intelligent Transport Systems, traffic prediction, and secure data transmission. Her published work includes studies in vehicular networks, traffic congestion, and security protocols, alongside ongoing research in medical imaging, AI-enhanced diagnostic tools, and image processing. A recognized mentor and department coordinator, Dr. Kothai integrates modern tools like Docker into her curriculum, advancing industry-aligned education. Her contributions have been acknowledged in journals, conferences, and professional memberships, including IEEE Computational Intelligence Society.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Kothai Ganesan is an accomplished Assistant Professor in the Computer Science and Engineering (Artificial Intelligence and Machine Learning) department at KPR Institute of Engineering and Technology. Her academic journey began with a Bachelor’s degree in Computer Science and Engineering from Anna University (2012–2016), followed by a Master’s in the same field, earned with first-class distinction at Anna University (2016–2018). Pursuing her passion for advanced research, Dr. Ganesan completed her Ph.D. in November 2023 at SRM Institute of Science and Technology, where her research centered on Intelligent Transport Systems, with a particular focus on traffic prediction, congestion avoidance, and secure data transmission, all aimed at improving urban mobility.

💼 Professional Experience :

Professionally, Dr. Ganesan has contributed significantly to the field of AI-driven transport systems, publishing extensively on vehicular ad hoc networks (VANETs) and innovative machine learning techniques. Her research outputs include collision prediction and secure communication protocols, enhancing safety in smart cities. She has also expanded her focus into medical AI, exploring Alzheimer’s diagnosis, pediatric epilepsy recognition, and cancer detection using optimized learning models. Alongside her research, Dr. Ganesan is an active mentor, guiding student-led projects in machine learning and artificial intelligence. As a dedicated faculty member, she serves as the IQAC Coordinator, Exam Cell Coordinator, Autonomous Coordinator, and R&D Coordinator, furthering the program’s reputation through academic rigor and practical industry integration. 📚💡

📚 Research Interests : 

Her current research interests are broad, covering deep learning, machine learning, computer vision, and natural language processing. Dr. Ganesan’s work has gained her recognition in prestigious journals and conferences, and she actively participates in the IEEE Computational Intelligence Society as a Faculty Advisor. As a reviewer for leading journals, she contributes her expertise to the scholarly community. Dr. Ganesan’s unique blend of academic insight, mentorship, and professional innovation showcases her commitment to advancing AI and machine learning for impactful, real-world applications. 🌟

📝 Publication Top Notes :

  1. Ganesan, K., & [Co-authors, if applicable]. (2021). A New Hybrid Deep Learning Algorithm for Prediction of Wide Traffic Congestion in Smart Cities. Wireless Communications and Mobile Computing, 2021, Article ID 5583874, 13 pages. https://doi.org/10.1155/2021/5583874.
  2. Ganesan, K., & [Co-authors, if applicable]. (2020). Performance Analysis of Stationary and Deterministic AODV Model. International Journal of Interactive Mobile Technologies (IJIM), 14(17), 33–44.
  3. Ganesan, K., & [Co-authors, if applicable]. (2022). IoT-Based Automatic SOP Adoption in Pandemic Scenario. International Journal of High Technology Letters, June 2022.
  4. Ganesan, K., & [Co-authors, if applicable]. (2024). A Hybrid CNN-GRU based Intrusion Detection System for Secure Communication in Vehicular Adhoc Network. Information Security Journal, Taylor & Francis, June 2024.