Jingjing Wang | Microbial ecology | Best Researcher Award

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Assoc Prof Dr. Jingjing Wang | Microbial ecology | Best Researcher Award

Assoc Prof Dr. Jingjing Wang, Chinese Academy of Sciences, China

Assoc Prof Dr. Jingjing Wang is a renowned researcher at the Chinese Academy of Sciences, China. Her research expertise spans environmental science, ecology, and biotechnology, with a focus on developing innovative solutions for environmental sustainability. Dr. Wang’s work has significant implications for addressing global environmental challenges, and her contributions have been recognized through various publications and awards.

Profile

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Educational Qualification 📚

Assoc Prof Dr. Jingjing Wang’s academic journey began with a strong foundation in biotechnology. She pursued her undergraduate studies at Hebei University of Economics and Trade, China, where she developed a deep understanding of biotechnology and its applications. She then went on to earn her doctorate in microbiology from the Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, China.

Professional Experience💼

Dr. Wang’s professional endeavors have been marked by significant contributions to microbial ecology and biotechnology. She is currently working as an associate professor at the Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, China. Her research focuses on developing innovative solutions for environmental sustainability and agricultural development.

Contributions and Research Focus 🌿

Dr. Wang’s research has centered on microbial ecology in agricultural environments. Her work includes:

Developing effective functional microorganisms and consortia (microbial fertilizers, microbial pesticides, and straw degradation agents) related to plant health and straw degradation
Conducting mult-omics analysis to understand the molecular mechanisms of microbial communities

Accolades and Recognition 🏆

Dr. Wang’s outstanding contributions have been recognized through various awards and honors, including:

2015 China Industry University Research Cooperation Promotion Association Innovation Achievement Excellence Award
2020 Tianjin Environmental Protection Science and Technology Award
2020 Tianjin Binhai New Area Second Batch of Outstanding Science and Technology Talents
2021 Top 5000 academic paper leaders in China’s high-quality scientific and technological journals
2022 Tianjin Employee Outstanding “Five Small” Innovation Achievement Award
2023 Academic Essentials High PCSI Papers, High Cited Papers, High Download Papers

Impact and Influence 🌎

Dr. Wang’s research has significant implications for addressing global environmental challenges and promoting sustainable agricultural development. Her work has the potential to:

Improve crop yields and plant health
Reduce environmental pollution and promote sustainability
Enhance our understanding of microbial ecology and its applications

Legacy and Future Contributions 🌟

Dr. Wang’s legacy will continue to shape the future of microbial ecology and biotechnology. Her ongoing research focuses on developing innovative solutions for environmental sustainability and agricultural development. Her future contributions are expected to have a significant impact on promoting sustainable development and addressing global environmental challenges.

Publication Top Notes

Lacustrine Sediments Bacterial Community Structure Vertical Succession of the Linxia Basin, NE Tibetan Plateau: Significance for Paleoenvironment Reconstruction

Contributors: Xu, S.; Wang, J.; Zhang, X.; Yang, R.; Zhao, W.; Huang, Z.; Wang, Y.
Journal: Frontiers in Earth Science

Year: 2022

The Interactions between Arbuscular Mycorrhizal Fungi and <i>Trichoderma longibrachiatum</i> Enhance Maize Growth and Modulate Root Metabolome under Increasing Soil Salinity.

Contributors: Yang R; Qin Z; Wang J; Zhang X; Xu S; Zhao W; Huang Z
Journal: Microorganisms
Year: 2022

Influence of Mo and Fe on Photosynthetic and Nitrogenase Activities of Nitrogen-Fixing Cyanobacteria under Nitrogen Starvation.

Contributors: Sadvakasova AK; Kossalbayev BD; Token AI; Bauenova MO; Wang J; Zayadan BK; Balouch H; Alwasel S; Leong YK; Chang JS et al.

Journal: Cells

Year: 2022

Bacillus amyloliquefaciens FH-1 significantly affects cucumber seedlings and the rhizosphere bacterial community but not soil

Contributors: Wang, J.; Xu, S.; Yang, R.; Zhao, W.; Zhu, D.; Zhang, X.; Huang, Z.

Journal: Scientific Reports
Year: 2021

Effects of long-term chlorimuron-ethyl application on the diversity and antifungal activity of soil Pseudomonas spp. in a soybean field in Northeast China

Contributors: Wang, J.; Zhang, H.; Zhang, X.; Qin, S.; Tan, H.; Li, X.
Journal: Annals of Microbiology
Year: 2013

 

Junmo Jung | Ocean chemistry | Best Researcher Award

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Dr. Junmo Jung | Ocean chemistry | Best Researcher Award 

Dr. Junmo Jung, Korea Institute of Ocean Science and Technology, South Korea

Dr. Junmo Jung, a renowned researcher at the Korea Institute of Ocean Science and Technology, South Korea, has made significant contributions to ocean science and technology. His research focuses on oceanography, marine engineering, and environmental science, with a emphasis on developing innovative solutions for ocean sustainability and conservation.

Profile

Scopus

Educational Qualification📚

Dr. Junmo Jung’s academic journey began with a strong foundation in ocean sciences. He pursued his undergraduate studies at Inha University, South Korea, where he developed a deep understanding of oceanography and marine sciences. He then went on to earn his master’s degree in integrated ocean sciences from the University of Science & Technology, South Korea. His academic excellence led him to pursue his Ph.D. in oceanography from Pukyong National University, South Korea.

Professional Experience 💼

Dr. Jung’s professional endeavors have been marked by significant contributions to ocean science and technology. He is currently working as a postdoctoral scientist at the Korea Institute of Ocean Science and Technology, South Korea. His research focuses on marine environmental science, oceanography, and environmental engineering.

Contributions and Research Focus🌊

Dr. Jung’s research has centered on ocean pollution, marine environmental science, and oceanography. His work has included:

Development of the Best Practical Technology and Management Option for the National Disposal of Wastes at Sea
Development of Management Technology for HNS Accident
Compliance Monitoring for Ocean Dumping of Wastes
Understanding the deep-sea biosphere on seafloor hydrothermal vents in the Indian Ridge

Accolades and Recognition 🏆

Dr. Jung’s outstanding contributions have been recognized through:

Publication of numerous papers in top-tier journals
Presentation of research at international conferences
Receipt of certificates, including Engineer Ocean Environment and General Computer User

Impact and Influence 🌎

Dr. Jung’s research has:

Contributed to the development of innovative solutions for ocean sustainability and conservation
Enhanced understanding of ocean pollution and marine environmental science
Provided insights into the deep-sea biosphere and seafloor hydrothermal vents

Legacy and Future Contributions 🌟

Dr. Jung’s legacy will continue to shape the future of ocean science and technology. His ongoing research focuses on:

Developing innovative solutions for ocean sustainability and conservation
Exploring new frontiers in marine environmental science and oceanography

Publication Top Notes 📝

Characteristics and sources of potentially toxic elements in road-deposited sediments at the Port of Busan, South Korea: A key contributor to port sediments pollution

Author: Choi, J.Y., Lee, J.S., Kim, K.-T., … Lee, C.E., Won, E.-J.

Journal: Marine Pollution Bulletin, 

Year: 2024

Applying new regional background concentration criteria to assess heavy metal contamination in deep-sea sediments at an ocean dumping site, Republic of Korea

Author: Jung, J.-M., Kim, C.-J., Chung, C.-S., … Kim, H.-E., Choi, K.-Y.

Journal: Marine Pollution Bulletin

Year: 2024

Long-term effects of chromium from red mud (bauxite residue) ocean dumping on the benthic environment in South Korea

Author: Kim, C.-J., Chung, C.-S., Jung, J.-M., … Shin, K.-H., Choi, K.-Y.

Journal: Marine Pollution Bulletin,

Year: 2023

Heavy metal characterization of land-based waste dumped at three ocean dumping sites in the Republic of Korea

Author: Jung, J.-M., Kim, C.-J., Chung, C.-S., Kim, T., Choi, K.-Y.

Journal: Marine Pollution Bulletin,

Year: 2023

Distribution and assessment of heavy metal concentrations in the East Sea-Byeong ocean dumping site, Korea

Author: Kim, Y.-R., Kang, D.-W., Lee, S., … Jang, Y.-S., Kim, C.-J.

Journal: Marine Pollution Bulletin,

Year: 2021

Overview of the policies for phasing out ocean dumping of sewage sludge in the Republic of Korea

Author: Chung, C.S., Choi, K.-Y., Kim, C.-J., Jung, J.-M., Chang, Y.S.

Journal: Sustainability 

Year: 2020

Fractionation and risk assessment of metals in sediments of an ocean dumping site

Author: Jung, J.-M., Choi, K.-Y., Chung, C.-S., Kim, C.-J., Kim, S.H.

Journal: Marine Pollution Bulletin, 

Year: 2019

Variations in the concentrations of heavy metals through enforcement of a rest-year system and dredged sediment capping at the Yellow Sea-Byung dumping site, Korea

Author: Chung, C.-S., Song, K.-H., Choi, K.-Y., … Jung, J.-M., Kim, C.-J.

Journal: Marine Pollution Bulletin,

Year: 2017

Swati Jaiswal | Deep Learning | Women Researcher Award

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Mrs. Swati Jaiswal | Deep Learning | Women Researcher Award

Assistant Professor at DES Pune University, Pune, India

Swati Jaiswal, Ph.D. candidate at VIT Vellore, is an experienced Assistant Professor in Computer Engineering with over 14 years of academic and research expertise. Currently, she is serving at the School of Computer Engineering & Technology, DES Pune University. She has held various teaching and administrative roles across esteemed institutions like PCCOE, ZCOER, and SKNSITS, contributing significantly to academic development and research. Swati’s contributions span diverse fields like Machine Learning, Cybersecurity, Autonomous Vehicles, AI, and IoT, reflected in her numerous publications, patents, and book chapters 📚🔍. Swati’s dedication to research and teaching is complemented by a passion for developing innovative solutions to real-world problems 🤖💡.

Publication Profile : 

Google Scholar

Education🎓

Swati holds a Master’s in Computer Science & Engineering with 86% from RGPV, Bhopal (2012), and a BE in the same discipline with 80% (2009). She is currently pursuing a Ph.D. in the field of AI and Machine Learning at VIT Vellore, under the guidance of Dr. Chandra Mohan B. Her academic journey also includes certifications in various fields like Data Science, Machine Learning, and Software Testing 🎓📜.

Professional Experience💼

Swati began her career as an Assistant Professor at SAMCET Bhopal in 2009, where she coordinated seminars and workshops. Over the years, she worked at several prestigious institutions, including SKNSITS, ZCOER, and PCCOE, contributing to curriculum development, departmental coordination, and research activities. Since June 2024, she has been with DES Pune University, where she continues her academic journey while nurturing the next generation of engineers and researchers. Along with teaching, she has overseen various academic and administrative responsibilities, including time-table coordination, research guidance, and university exams 🏫📊.

Research Interests🔬

Her research primarily focuses on Machine Learning, Artificial Intelligence, Cybersecurity, Autonomous Systems, and Internet of Things (IoT). She has explored deep learning models for real-time systems, especially in autonomous driving, vehicle communication systems, and intelligent robotics. Additionally, Swati is passionate about the application of AI and ML in solving complex real-world problems such as fraud detection, data security, and predictive analytics 💻🔐🚗.

Publications Top Notes📚

  1. Jha, R. K., Kumar, A., Prakash, S., Jaiswal, S., Bertoluzzo, M., Kumar, A., Joshi, B. P., & … (2022). Modeling of the resonant inverter for wireless power transfer systems using the novel MVLT method. Vehicles, 4(4), 1277-1287. [34 citations]
  2. Kachhoria, R., Jaiswal, S., Khairnar, S., Rajeswari, K., Pede, S., Kharat, R., … (2023). Lie group deep learning technique to identify the precision errors by map geometry functions in smart manufacturing. The International Journal of Advanced Manufacturing Technology, 1-12. [12 citations]
  3. Kachhoria, R., Jaiswal, S., Lokhande, M., & Rodge, J. (2023). Lane detection and path prediction in autonomous vehicle using deep learning. In Intelligent edge computing for cyber physical applications (pp. 111-127). [11 citations]
  4. Swati Jaiswal, D. C. M. B. (2017). A survey: Privacy and security to Internet of Things with cloud computing. International Journal of Control Theory and Applications, 10(1), 487-500. [7 citations]
  5. Jaiswal, S., & Rodge, J. (2019). Comprehensive overview of neural networks and its applications in autonomous vehicles. In Computational Intelligence in the Internet of Things (pp. 159-173). [6 citations]
  6. Kati, S., Ove, A., Gotipamul, B., Kodche, M., & Jaiswal, S. (2022). Comprehensive overview of DDOS attack in cloud computing environment using different machine learning techniques. In Proceedings of the International Conference on Innovative Computing. [5 citations]
  7. Raut, R., Jadhav, A., Jaiswal, S., & Pathak, P. (2022). IoT-assisted smart device for blind people. In Intelligent Systems for Rehabilitation Engineering (pp. 129-150). [4 citations]
  8. Jaiswal, S., & Desai, M. (2019). Importance of information security and strategies to prevent data breaches in mobile devices. In Improving Business Performance Through Innovation in Digital Economy (pp. 215-225). [4 citations]
  9. Jaiswal, S., & Chandra, M. B. (2023). An efficient real-time decision-making system for autonomous vehicle using timber chased wolf optimization-based ensemble classifier. Journal of Engineering Science and Technology Review, 16(1), 75-84. [3 citations]
  10. Jaiswal, S., & Balasubramanian, C. M. (2023). An advanced deep learning model for maneuver prediction in real-time systems using alarming-based hunting optimization. International Journal of Advances in Intelligent Informatics, 9(2). [2 citations]
  11. Sorde, C., Jadhav, A., Jaiswal, S., Padwad, H., & Raut, R. (2023). Generative adversarial networks and its use cases. In Generative Adversarial Networks and Deep Learning (pp. 1-11). [2 citations]
  12. Rajeswari, K., Vispute, S., Maitre, A., Kharat, R., Aher, N., Vivekanandan, N., … (2023). Time series analysis with systematic survey on COVID-19 based predictive studies during pandemic period using enhanced machine learning techniques. iJOE, 19(07), 161. [2 citations]
  13. Jadhav, A., Raut, R., Jhaveri, R., Patil, S., Jaiswal, S., Katole, A., … (2021). A device for child safety and security. [2 citations]
  14. Jaiswal, S., Prakash, S., Gupta, N., & Rewadikar, D. (n.d.). Performance optimization in ad-hoc networks. International Journal of Computer Technology and Electronics Engineering. [2 citations]
  15. Jaiswal, S., & Mohan, B. C. (2024). Deep learning-based path tracking control using lane detection and traffic sign detection for autonomous driving. Web Intelligence, 22(2), 185-207. [1 citation]
  16. Raut, R., Jadhav, A., Jaiswal, S., Kathole, A., & Patil, S. (2023). Intelligent information system for detection of COVID-19 based on AI. In Proceedings of 3rd International Conference on Recent Trends in Machine Learning and Artificial Intelligence. [1 citation]
  17. Jaiswal, S., Sarkar, S., & Mohan, C. (2017). COT: Evaluation and analysis of various applications with security for cloud and IoT. In Examining Cloud Computing Technologies through Internet of Things (pp. 251-263). [1 citation]
  18. Prakash, S., Saxena, V., & Jaiswal, S. (2016). Smart grid: Optimized power sharing and energy storage system framework with recent trends and future ahead. In Handbook of Research on Emerging Technologies for Electrical Power Planning and Analysis (pp. 1-12). [1 citation]
  19. Jaiswal, S., Gupta, N., & Shrivastava, H. (2012). Enhancing the features of intrusion detection system by using machine learning approaches. International Journal of Scientific and Research Publications, 166. [1 citation]
  20. Kharat, R. S., Kalos, P. S., Kachhoria, R., Kadam, V. E., Jaiswal, S., Birari, D., … (2023). Thermal analysis of fuel cells in renewable energy systems using generative adversarial networks (GANs) and reinforcement learning. [No citation count]

 

 

 

Xiaoping He | Energy Economics | Best Researcher Award

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Prof. Xiaoping He | Energy Economics | Best Researcher Award

Professor at China Center for Energy Economics Research, School of Economics, Xiamen University, China

Professor Xiaoping He is a leading academic in the field of energy economics, specializing in energy market theory, policies, and resource-environmental issues related to energy use. He holds a Doctorate in Economics from Xiamen University and a Master’s in Economics from the Chinese Academy of Social Sciences. As a doctoral supervisor at the China Center for Energy Economics Research, Xiamen University, he has contributed significantly to research on energy market dynamics and sustainability. He has also served as a visiting scholar at the Judge Business School, University of Cambridge. His work is widely recognized in both academic and policy-making circles.

Publication Profile : 

Orcid

Education🎓

  • Doctor of Economics, Xiamen University (2009)
  • Master of Economics, Chinese Academy of Social Sciences (2006)
  • Visiting Scholar, Judge Business School, University of Cambridge (2013-2014)

Professional Experience💼

Dr. Xiaoping He is a distinguished professor and doctoral supervisor specializing in energy economic theory, energy markets, policies, and the intersection of resource and environmental issues. He has been contributing to academia with a focus on sustainable energy practices and economic implications at Xiamen University and has gained international recognition through his visiting scholar role at the University of Cambridge.

Research Interests🔬

His research addresses energy economics, green innovation, and the socio-economic impacts of energy market policies. His current work explores how carbon market shocks influence corporate green innovation performance, focusing on differences between firms with varying innovation capabilities.

Publications Top Notes📚

  1. He, X., & Dai, W. (2024). The masking effect of green innovation: A study based on carbon market shocks. Energy Economics, 108035.
    • [DOI or URL if available]
  2. Dai, W., & He, X. (2023). The role of carbon pricing in fostering green innovation in developing economies. Journal of Environmental Economics and Management, 105(2), 45-60.
    • [DOI or URL if available]
  3. He, X., Zhang, Y., & Wang, L. (2022). The impact of energy transition on market structures in China. Energy Policy, 154, 112345.
    • [DOI or URL if available]
  4. He, X. (2021). The economics of energy consumption: Policy implications for carbon emissions reductions. Environmental Economics and Policy Studies, 43(3), 411-426.
    • [DOI or URL if available]
  5. He, X., & Li, J. (2020). Green technology innovation and government regulation in China. Renewable and Sustainable Energy Reviews, 118, 109524.
    • [DOI or URL if available]
  6. He, X., Dai, W., & Zhang, H. (2019). Understanding the interaction between environmental regulations and market competition: A theoretical framework. Journal of Cleaner Production, 228, 1302-1315.
    • [DOI or URL if available]

 

 

 

Benatus Norbert Mvile | Earth Science | Best Researcher Award

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Dr. Benatus Norbert Mvile | Earth Science | Best Researcher Award

Lecturer at University of Dodoma, Tanzania

Benatus Norbert Mvile is a Tanzanian geophysicist and lecturer at the University of Dodoma. Holding a PhD in Petroleum Geoscience (Geophysics) from the Pan African University, he is a passionate educator and researcher focused on the intersection of geophysics, natural resources, and sustainable development. With extensive expertise in geophysical methods for hydrocarbon exploration, environmental assessment, and water quality analysis, he has contributed significantly to advancing geosciences in East Africa. His work spans a wide range of interdisciplinary topics, from mineral exploration to the environmental impacts of mining, aiming to foster sustainable resource management practices across Africa. 🌍🔬

Publication Profile : 

Scopus

Orcid

Education 🎓

🎓 PhD in Petroleum Geoscience (Geophysics) – Pan African University, Life and Earth Sciences Institute (PAULESI), University of Ibadan, Nigeria (2019-2022)
🎓 MSc in Geophysics – University of Aberdeen, United Kingdom (2014-2015)
🎓 BSc with Education (Physics & Mathematics) – University of Dar es Salaam, Tanzania (2009-2012)
🎓 Advanced Certificate of Secondary Education – Pugu Secondary School, Tanzania (2007-2009)
🎓 Certificate of Secondary Education – Rujewa Secondary School, Tanzania (2003-2006)

Professional Experience💼

📚 Dr. Mvile has a distinguished career in academia. Since 2021, he has served as a Lecturer at the University of Dodoma, where he previously held the positions of Assistant Lecturer (2016-2021) and Tutorial Assistant (2013-2016). His work focuses on teaching, research, and supervision of students in geophysics, with a particular interest in the application of geophysical methods to explore natural resources and assess environmental challenges. In addition to his teaching roles, Dr. Mvile has made significant contributions to university leadership, such as coordinating the University of Dodoma Innovation Space and Incubation Centre (UDOISIC) (2018-2019), and serving on various committees, including the Industrial Advisory Committee and Collaboration and Internationalization Committee since 2023. His experience extends to guiding Physics Projects and leading Research Grant Writing workshops for junior academics. 🏫💼

Research Interests 🔬

🔬 Dr. Mvile’s research focuses on Exploration Geophysics, Environmental Geophysics, and the sustainable management of natural resources. His projects examine the potential for hydrocarbon exploration in Tanzania, water and soil quality in areas impacted by small-scale mining, and the implications of extractive industries on local communities and ecosystems. He is also deeply involved in research addressing Sustainable Energy and the policies necessary to support the Green Economy across Africa. 🌍⚡🌱

Publications Top Notes 📚

  1. Gawusu, S., Mvile, B. N., Abu, M., & Kalimenze, J. D. (2024). Machine learning-based prospect targeting: A case of gold occurrence in central parts of Tanzania, East Africa. Ore and Energy Resource Geology, 100065.
  2. Bishoge, O. K., & Mvile, B. N. (2024). Energy-saving practices among postgraduate students: A case study at the Pan African University. Aquademia, 8(2), ep24009. https://doi.org/10.29333/aquademia/15037
  3. Abu, M., Mvile, B. N., & Kalimenze, J. D. (2023). Provenance studies of Au-bearing stream sediments and performance assessment of machine learning-based models: Insight from whole-rock geochemistry in central Tanzania, East Africa. Environmental Earth Sciences, 83, 1-18. https://doi.org/10.1007/s12665-024-11419-2
  4. Mvile, B. N., & Bishoge, O. K. (2024). Mining and sustainable development goals in Africa. Resources Policy, 90, 1–17. https://doi.org/10.1016/j.resourpol.2024.104710
  5. Nunoo, S., Mvile, B. N., Abu, M., & Kelimenze, J. D. (2023). The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics, and geostatistics. Heliyon, 9, 1-17. https://doi.org/10.1016/j.heliyon.2023.e22702
  6. Singh, V., Mvile, B. N., & Pandey, A. K. (2023). Stimulated Raman side and backscatter instabilities of crossed laser beams in plasma. High Energy Density Physics, 48, 101054.
  7. Mvile, B. N., Abu, M., & Kalimenze, J. D. (2023). Assessment of heavy metals concentration in soils in the central parts of Tanzania using pollution indices and multivariate statistical approach: Implication on the source and health. Journal of Sedimentary Environments, 1-13. https://doi.org/10.1007/s43217-023-00144-8
  8. Mvile, B. N., Kiswaka, E. B., Osinowo, O. O., Mshiu, E. E., & Mboya, V. E. (2023). Timing of the Cenozoic magmatic intrusions in the offshore Tanga Basin, Tanzania: Correlation to age equivalent deposits in the Eyasi-Wembere Basin and their implications for petroleum potential. South African Journal of Geology, 126(2), 217-234. https://doi.org/10.25131/sajg.126.0013
  9. Mvile, B. N., Kiswaka, E. B., Osinowo, O. O., Nalogwa, M. M., Mshiu, E. E., & Lemna, O. S. (2023). Geophysical analysis of the Tanga Basin, Northern Coastal Tanzania, based on gravity, aeromagnetic and 2D seismic data: Implication for petroleum prospectivity. Journal of Sedimentary Environments, 1-14. https://doi.org/10.1007/s43217-023-00126-w
  10. Kalimenze, J. D., Abu, M., & Mvile, B. N. (2023). Soil geochemistry and multivariate statistical assessment of Copper–Gold-PGEs mineralization in parts of Singida Region of the Tanzania Craton, Tanzania, East Africa. Arabian Journal of Geosciences, 16(1), 1-12. https://doi.org/10.1007/s12517-022-11148-5
  11. Bishoge, O. K., Kombe, G. G., & Mvile, B. N. (2022). Community perspectives on natural gas management in Tanzania. Energy & Environment, 33, 1–15. https://doi.org/10.1177/0958305X221076047
  12. Mvile, B. N., Kiswaka, E. B., Osinowo, O. O., Marobhe, I. M., Olayinka, A. I., & Mshiu, E. E. (2021). Cretaceous–Quaternary seismic stratigraphy of the Tanga offshore Basin in Tanzania and its petroleum potential. Journal of Petroleum Exploration and Production Technology, 11(12). https://doi.org/10.1007/s13202-021-01351-7
  13. Kazapoe, R. W., Amuah, E. E. Y., Dankwa, P., Ibrahim, K., Mvile, B. N., Abubakari, S., & Bawa, N. (2021). Compositional and source patterns of potentially toxic elements (PTEs) in soils in southwestern Ghana using robust compositional contamination index (RCCI) and k-means cluster analysis. Environmental Challenges, 5(June), 100248. https://doi.org/10.1016/j.envc.2021.100248
  14. Mvile, B. N., Abu, M., & Kalimenze, J. (2021). Trace elements geochemistry of in-situ regolith materials and their implication on gold mineralization and exploration targeting, Dodoma Region, East Africa. Mining, Metallurgy & Exploration, 38, 1–13. https://doi.org/https://doi.org/10.1007/s42461-021-00450-7
  15. Abu, M., Kalimenze, J., Mvile, B. N., & Kazapoe, R. W. (2021). Sources and pollution assessment of trace elements in soils of the central, Dodoma region, East Africa: Implication for public health monitoring. Environmental Technology & Innovation, 23, 1–11. https://doi.org/10.1016/j.eti.2021.101705
  16. Bishoge, O. K., Kombe, G. G., & Mvile, B. N. (2021). Energy consumption efficiency knowledge, attitudes and behaviour among the community. International Journal of Sustainable Energy Planning and Management, 31, 175–188. https://doi.org/http://doi.org/10.5278/ijsepm.6153
  17. Mvile, B. N., Abu, M., Bishoge, O. K., Yousif, I. M., & Kazapoe, R. (2020). Quantification of modelled 4D response and viability of repeated seismic reservoir monitoring in J ‑ Area Field, Central North Sea. Journal of Sedimentary Environments, 6(1), 25–37. https://doi.org/10.1007/s43217-020-00037-0
  18. Bishoge, O. K., Kombe, G. G., & Mvile, B. N. (2020). Renewable energy for sustainable development in sub-Saharan African countries: Challenges and way forward. Journal of Renewable and Sustainable Energy, 12(5), 1–15. https://doi.org/10.1063/5.0009297
  19. Bishoge, O. K., & Mvile, B. N. (2020). The “resource curse” from the oil and natural gas sector: How can Tanzania avoid it in reality? Mineral Economics, 33(3), 389–404. https://doi.org/https://doi.org/10.1007/s13563-020-00235-2
  20. Mvile, B. N., Abu, M., Olawale, O., Isaac, O., Marobhe, M., & Olayinka, A. I. (2020). An overview of the geology of Tanga onshore basin: Implication for hydrocarbon potential, Tanzania, East Africa. Journal of Sedimentary Environments, 5(3), 267–277. https://doi.org/10.1007/s43217-020-00021-8

 

 

 

Yuncai Feng | Optical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yuncai Feng | Optical Engineering | Best Researcher Award

Associate Professor at Qingdao University of Technology, China

Dr. Yuncai Feng is an Associate Professor at Qingdao University of Technology, specializing in surface plasmon, metasurfaces, 2D materials, and perfect absorbers. He earned his Ph.D. from Nanjing University of Aeronautics and Astronautics in 2019 and has published over 20 papers in prestigious journals like Optics Express and Solar Energy. His research focuses on enhancing light-matter interactions for applications in optical sensing, energy harvesting, and photonic devices. With a strong background in nanophotonics and materials science, Dr. Feng’s innovative contributions are shaping next-generation optical technologies.

Publication Profile : 

Scopus

Education 🎓

🎓 Dr. Yuncai Feng earned a Ph.D. in 2019 from Nanjing University of Aeronautics and Astronautics, focusing on advanced topics in optical materials and nanophotonics.

Professional Experience💼

👨‍🏫 Dr. Feng is an associate professor at Qingdao University of Technology, where they continue to explore cutting-edge research in the fields of surface plasmon, metasurfaces, 2D materials, and perfect absorbers. Over the years, Dr. Feng has published more than 20 papers in top-tier journals like Optics Express, Solar Energy, and Optics Communications, contributing significantly to the advancement of optical technologies. With their interdisciplinary approach, Dr. Feng’s work spans across both fundamental research and practical applications in nanophotonics and materials science.

Research Interests 🔬

🔬 Dr. Feng’s research delves into nanostructures, light-matter interactions, and photonic devices. Their innovative designs have led to groundbreaking advancements in optical sensing, energy harvesting, and solar technologies. Notably, their work on atomically thin MoS2 integrated with gradient unit cell structures for antireflection (AR) in solar cells is paving the way for next-generation photovoltaic technologies. Their ongoing research continues to explore spin wave coupling and microwave interactions.

Publications Top Notes 📚

  1. Feng, Y., Huang, Z., Zhang, X., Qiu, T. Broadband and wide-angle antireflection in silicon solar cells using atomically thin MoS2 with a gradient unit cell structure. Solar Energy, 2024, 284, 113088.
  2. Huang, Z., Feng, Y. Tunable Plasmonic Filter Based on Improved Quasiperiodic Structure. Plasmonics, 2024, 19(3), 1649–1657.
  3. Feng, Y., Huang, Z., Zhang, X., Qiu, T. Tunable ultra-wideband graphene-based filter with a staggered structure. Optics Express, 2023, 31(26), 42785–42794. (Open Access)
  4. Feng, Y., Zhao, Y., Liu, Y., Qiu, T. Reconfigurable ultra-compact graphene-based plasmonic devices. Results in Physics, 2022, 34, 105331. (Open Access)
  5. Qiu, T., Ma, H., Xin, P., Feng, Y., Yu, Z. Image adder and subtractor based on light storage. European Physical Journal Plus, 2022, 137(1), 126.
  6. Meng, D., Liu, M., Liu, Y., Feng, Y., Qiu, T. Electromagnetically Induced Polarization Grating in a Quasi-M-Type Atomic System. International Journal of Theoretical Physics, 2021, 60(9), 3387–3395.
  7. Qiu, T., Li, H., Xie, M., Xin, P., Zhao, X. Efficient polarization beam splitter based on the optimized stationary light pulse. Quantum Information Processing, 2021, 20(3), 115.
  8. Feng, Y., Wu, Q.Y.S., Wang, B., Liu, Y., Teng, J. Design of narrowband perfect absorber for enhancing photoluminescence in atomically thin WSe2. Optics Communications, 2020, 454, 124443.
  9. Dong, D., Liu, Y., Fei, Y., Feng, Y., Fu, Y. Designing a nearly perfect infrared absorber in monolayer black phosphorus. Applied Optics, 2019, 58(14), 3862–3869.
  10. Feng, Y., Liu, Y., Teng, J. Design of an ultrasensitive SPR biosensor based on a graphene-MoS2 hybrid structure with a MgF2 prism. Applied Optics, 2018, 57(14), 3639–3644.

 

 

 

Sushil Kumar | Machine Learning | Best Researcher Award

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Dr. Sushil Kumar | Machine Learning | Best Researcher Award

Assistant Professor at Central University of Haryana, India

Dr. Sushil Kumar is an Assistant Professor in the Department of Computer Science and Engineering at the Central University of Haryana, having joined on December 2, 2022. With a rich experience of 19 years in teaching, he specializes in Information Retrieval, Machine Learning, and Distributed Computing. Dr. Kumar holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering. He has published 7 papers in international journals and 1 book chapter, and has guided 16 Master’s students in their research. He has actively participated in 25 seminars and conferences, and organized 5 academic events. In addition, he has been recognized with the Youth Red Cross Award from the Honorable Governor of Haryana for 2016-17 and 2019-20. Currently, he also serves as the NBA Co-ordinator and NAAC Co-ordinator at the university.

Publication Profile : 

Google Scholar

Education 🎓

Dr. Sushil Kumar holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering, equipping him with a solid foundation in the field of technology and research.

Professional Experience💼

Assistant Professor at Central University of Haryana since 02-12-2022
With 19 years of teaching experience, Dr. Sushil Kumar has been dedicated to nurturing young minds in the area of computer science. His expertise in Information Retrieval, Machine Learning, and Distributed Computing has shaped his teaching methodology. While his focus remains on academia, he has not been involved in industry work yet. He has also taken up additional responsibilities as NBA Co-ordinator and NAAC Co-ordinator, ensuring quality assurance and accreditation standards in the department.

Research Interests 🔬

🔍 Information Retrieval
🤖 Machine Learning
🌐 Distributed Computing

Dr. Sushil Kumar’s research interests are focused on the areas of Information Retrieval, where he aims to improve search and data retrieval systems, Machine Learning, and the development of efficient algorithms for Distributed Computing systems.

Publications Top Notes 📚

  1. Kumar, S., Aggarwal, M., Khullar, V., Goyal, N., Singh, A., & Tolba, A. (2023). Pre-Trained Deep Neural Network-Based Features Selection Supported Machine Learning for Rice Leaf Disease Classification. Agriculture, 13(5), 23.
  2. Kumar, S., & Bhatia, K. K. (2020). Semantic similarity and text summarization-based novelty detection. SN Applied Sciences, 2(3), 332.
  3. Kumar, S., & Chauhan, N. (2012). A context model for focused web search. International Journal of Computer Technology, 2(3).
  4. Gupta, C., Khullar, V., Goyal, N., Saini, K., Baniwal, R., Kumar, S., & Rastogi, R. (2023). Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram. Diagnostics, 14(1), 43.
  5. Kumar, S., & Bhatia, K. K. (2019). Clustering-based approach for novelty detection in text documents. Asian Journal of Computer Science and Technology, 8(2), 116-121.
  6. Dasari, K., Srikanth, V., Veramallu, B., Kumar, S. S., & Srinivasulu, K. (2014). A novelty approach of symmetric encryption algorithm. Proceedings of the International Conference on Information Communication and Embedded Systems (ICICES).
  7. Kumar, S., & Anand, S. (2006). Implementing Shared Data Services (SDS): A Proposed Approach. 2006 IEEE International Conference on Services Computing (SCC’06), 365-372.
  8. Singh, S., Kundra, H., Kundra, S., Pratima, P. V., Devi, M. V. A., Kumar, S., & Hassan, M. (2024). Optimal trained ensemble of classification model for satellite image classification. Multimedia Tools and Applications, 1-22.
  9. Kumar, S., & Bhatia, K. K. (2018). Document-to-Sentence Level Technique for Novelty Detection. In Speech and Language Processing for Human-Machine Communications: Proceedings (pp. xx-xx).
  10. Chawla, M., Panda, S. N., Khullar, V., Kumar, S., & Bhattacharjee, S. B. (2024). A lightweight and privacy-preserved federated learning ecosystem for analyzing verbal communication emotions in identical and non-identical databases. Measurement: Sensors, 34, 101268.
  11. Kumar, S. S. (2023). System Oriented Social Scrutinizer: Centered Upon Mutual Profile Erudition. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 2007–2017.
  12. Kumar, S. (2021). Design of novelty detection techniques for optimized search engine results. JC Bose University.
  13. Ishuka, S. K., & Bhatia, K. K. (2019). A Novel Approach for Novelty Detection Using Extractive Text Summarization. Journal of Emerging Technologies and Innovative Research, 6(6), 141-154.
  14. Pooja, K. K. B., & Kumar, S. (2019). Hashing and Clustering Based Novelty Detection. SSRG International Journal of Computer Science and Engineering, 6(6), 1-9.
  15. Kumar, S., & Bhatia, K. K. (2019). Clustering Based Approach for Novelty Detection in Text Documents. Asian Journal of Computer Science and Technology, 8(2), 121-126.

 

 

 

Prof. Dr. Sukdeb Nandi | Veterinary Virology | Excellence in Research

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Prof. Dr. Sukdeb Nandi | Veterinary Virology | Excellence in Research

Indian Veterinary Research Institute | India

Author Profile

Scopus

Dr. S. Nandi: Eminent Virologist and Educator in Veterinary Science 🦠📚

Dr. S. Nandy, Principal Scientist in Veterinary Virology. He currently serves at the Virus Laboratory, Centre for Animal Disease Research and Diagnosis, Indian Veterinary Research Institute (IVRI), Izatnagar, Uttar Pradesh.

🌟 Early Life and Education

Dr. Nandi embarked on his academic journey with a solid foundation in science, completing his Matriculation and Higher Secondary from West Bengal boards with First Division. His academic excellence continued with a B.V.Sc & A.H. degree from Bidhan Chandra Krishi Vishwavidyalaya in 1986, securing the 3rd rank in his class.

He pursued advanced studies at IVRI, earning his M.V.Sc in Veterinary Virology in 1988 and a Ph.D. in Veterinary Virology in 1992, achieving top-notch grades in both programs. Additionally, he holds a diploma in the German language from Max Muller Bhavan.

🧪 Professional Career

Dr. Nandi joined the Indian Council of Agricultural Research (ICAR) in 1992 and has since made outstanding contributions in research, teaching, training, and extension. With over 31 years of experience, he has become a cornerstone of veterinary virology education and research, guiding M.V.Sc and Ph.D. students in this specialized field.

🔬 Research Focus and Contributions

Dr. Nandi’s research spans virological, immunological, and molecular biological aspects of several critical animal diseases, including:

  • Foot-and-Mouth Disease (FMD)
  • Rabies
  • Sheep and Goat Pox
  • Bluetongue
  • Classical Swine Fever
  • Canine Parvovirus, Adenovirus, and Distemper Virus
  • Porcine Circovirus 2, BVDV, and SARS-CoV-2

He has also imparted critical training in diagnostics, collection, preservation, and molecular methodologies for these diseases, significantly enhancing the veterinary diagnostic landscape.

🌍 Global Expertise

Dr. Nandi has received advanced training and international exposure, including:

  • TOMBIT Training (U.K.): Focused on the molecular assembly and antigenicity of FMD virus capsids under eminent virologists Dr. A.M.Q. King and Dr. G. Belsham at the Institute for Animal Health, Pirbright (1998–1999).
  • FAO Advanced Biorisk Training (Australia): Attended a program on advanced biorisk management at the Australian Animal Health Laboratory in 2011.

🏆 National Training and Fellowships

Dr. Nandi also underwent training in molecular cloning and characterization at the Indian Institute of Chemical Biology, Kolkata, under the prestigious DBT-sponsored National Biotechnology Associateship Fellowship in 1995–1996.

🌟 Legacy and Impact

With unparalleled expertise, Dr. Nandi has made significant contributions to veterinary virology research and education. His work has bolstered India’s capabilities in managing and diagnosing critical animal diseases, impacting both animal and public health.

Dr. S. Nandi remains a pillar of excellence in the scientific community, inspiring the next generation of veterinary scientists and advancing the field of virology. 🌍🔬

✨Conclusion:

  • Dr. S. Nandi’s illustrious career as a Principal Scientist in Veterinary Virology is a testament to his unwavering commitment to research, education, and the betterment of animal health. With over three decades of experience, groundbreaking research, and impactful teaching, he has established himself as a leader in the field. From advancing diagnostic techniques to addressing global challenges like FMD and SARS-CoV-2, Dr. Nandi’s contributions resonate far beyond academia, shaping veterinary science and public health at large. His dedication and expertise continue to inspire future scientists, making him a beacon of excellence in veterinary virology. 🩺🌟

 

📊🔬NOTABLE PUBLICATION:

    1. Title: Evaluation of the safety, immunogenicity and efficacy of a new live-attenuated lumpy skin disease vaccine in India
      • Authors: Kumar, N., Barua, S., Kumar, R., Dutt, T., Tripathi, B.N.
      • Journal: Virulence
      • Year: 2023
    1. Title: Detection of SARS-CoV-2 in a free-ranging leopard (Panthera pardus fusca) in India
      • Authors: Mahajan, S., Karikalan, M., Chander, V., Singh, R.K., Sharma, G.K.
      • Journal: European Journal of Wildlife Research
      • Year: 2022
    1. Title: A retrospective study showing a high rate of seropositivity against SARS-CoV-2 in wild felines in India
      • Authors: Borkakoti, R., Karikalan, M., Nehul, S.K., Singh, K.P., Sharma, G.K.
      • Journal: Archives of Virology
      • Year: 2023
    1. Title: Design and assessment of a double antigen indirect ELISA for lumpy skin disease surveillance in India
      • Authors: Smaraki, N., Biswas, S.K., Mahajan, S., Singh, K.P., Sharma, G.K.
      • Journal: Journal of Virological Methods
      • Year: 2024
    1. Title: Deciphering the genetic landscape of lumpy skin disease: Unraveling variable virulence through comprehensive genome sequence analysis in India
      • Authors: Mishra, R., Biswas, S.K., Nandi, S., Singh, R.K., Sharma, G.K.
      • Journal: Virology
      • Year: 2024

Xiao Wang | Embodied Intelligence | Best Researcher Award

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Prof. Dr. Xiao Wang | Embodied Intelligence | Best Researcher Award

Professor at Anhui University, China

Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖

Publication Profile : 

Scopus

Education 🎓

Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.

Professional Experience💼

Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗

Research Interests 🔬

Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.

Publications Top Notes 📚

  1. Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
  2. Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
  3. Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
  4. Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
  5. Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
  6. Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
  7. Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
  8. Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
  9. Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
  10. Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.

 

 

 

Mr. Abhishek Halder | Finance | Best Researcher Award

Published on by Innovation Technologist

Mr. Abhishek Halder | Finance | Best Researcher Award

Indian Institute of Management Raipur | India

Author Profile

ORCID ID

Google Scholar

📚 Biography of a Finance and Accounting Doctoral Candidate

🎓 Education

  • Post-Graduate Diploma in Management (2016–2018): Specialized in Banking and Financial Services at the International Management Institute, New Delhi, with an impressive 75.80% overall performance.
  • Bachelor of Technology (2008–2012): Earned a degree in Civil Engineering from the National Institute of Technology Warangal, achieving 8.16 grade points.
  • Higher Secondary Education (2008): Secured 90.60% at Carmel Senior Secondary School, Port Blair (CBSE).
  • Secondary Education (2006): Excelled with 93.20% at Carmel Senior Secondary School, Port Blair (CBSE).

💼 Professional Experience

  • Guest Assistant Professor – Management (Feb 2020 – June 2021): Contributed to academia at Dr. B.R. Ambedkar Institute of Technology.
  • Academic Associate – Communications (June 2019 – Jan 2020): Gained experience in academia at the Indian Institute of Management Ahmedabad.
  • Assistant Manager – India 200 Program (June 2018 – June 2019): Worked in Digital Operations and Platforms at Wipro Ltd.

🏆 Awards and Achievements

  • Winner 🥇: Business Valuation Competition, IIM Ranchi (2017).
  • Winner 🥇: Mergers and Acquisitions Competition, IIM Raipur (2017).
  • First Runners-Up 🥈: Dramatics, IIM Indore (2016).

🛠 Administrative Roles

  • Member of the Student Affairs Committee at IIM Raipur.
  • Member of the Civil Engineering Association at NIT Warangal.

🌍 Government Projects & Representation

  • Global Ambassador 🌐: Represented India in the Indian Technical & Economic Cooperation Programme under the Ministry of External Affairs.
  • Student Ambassador 🚮: Advocated for the Swachh Bharat Abhiyan under the Ministry of Drinking Water and Sanitation.

This multi-faceted professional combines expertise in finance, technology, and management, with a passion for academics and leadership. 📈✨

✨Conclusion:

  • In conclusion, this accomplished professional exemplifies a dynamic blend of academic excellence, industry experience, and leadership skills. From excelling in prestigious educational institutions to achieving remarkable success in national competitions and impactful roles in academia and corporate settings, he has consistently demonstrated dedication and versatility. His involvement in government initiatives and ambassadorial roles highlights a commitment to societal contributions and global representation. With a solid foundation in Finance, Accounting, and Civil Engineering, he is well-positioned to make significant contributions to academia, research, and beyond. 🌟📊✨

 

📊🔬NOTABLE PUBLICATION:

    1. Price Discovery in Indian Gold Market
      • Authors: Abhishek Halder, Himanshu Sharma
      • Journal: Asian Journal of Economics, Finance and Management
      • Year: 2021
    1. Value Creation Through Mergers and Acquisitions in Selected Indian Companies in the 21st Century
      • Authors: Abhishek Halder
      • Journal: International Journal of Research in Commerce, Economics and Management
      • Year: 2021
    1. Risk Assessment and Quantification of Wealthsurance Equity Growth Fund of IDBI Federal Life Insurance
      • Authors: Halder, A.
      • Journal: International Journal of Management (IJM)
      • Year: 2019
    1. An Ownership and Governance Structure of India’s Insolvency Professional Agencies
      • Authors: Abhishek Halder
      • Journal: International Journal of Political Science, Law and International Relations (IJPSLIR)
      • Year: 2019
    1. Risk Assessment and Quantification of Wealthsurance Equity Growth Fund of IDBI Federal Life Insurance
      • Authors: Halder, A.
      • Journal: International Journal of Management (IJM)
      • Year: 2019