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

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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

Muhammad Wajid | Computer Vision | Best Researcher Award

Published on by Innovation Technologist

Mr. Muhammad Wajid | Computer Vision | Best Researcher Award

Lecturer at Sir syed Case Institute of Technology Islamabad, Pakistan

🌟 Muhammad Wajid is a passionate computer scientist specializing in deep learning 🤖, natural language processing 📖, and computer vision 👁️‍🗨️. As a Lecturer at Sir Syed CASE Institute of Technology, he teaches and mentors in cutting-edge fields. With a strong academic foundation from COMSATS University and Gomal University 🎓, he has earned recognition for his impactful research, including publications in prestigious journals 📜. Muhammad’s expertise spans Python, TensorFlow, PyTorch, and Scikit-Learn, making him a skilled innovator in AI and machine learning 🚀.

Publication Profile : 

Google Scholar

Education 🎓

Muhammad Wajid earned his Master of Science in Computer Science from COMSATS University Islamabad (2020–2023) with a CGPA of 3.43/4.00. His thesis focused on using deep learning and preprocessing techniques to detect communities in graph-structured data. Prior to this, he completed his Bachelor of Computer Science at Gomal University (2015–2020), graduating with a stellar CGPA of 3.79/4.00. His undergraduate thesis involved the classification and identification of iris flowers using machine learning. Muhammad also holds a certification in machine learning from Stanford and freelancing from the Virtual University of Pakistan, further showcasing his commitment to technical growth.

Professional Experience💼

Muhammad is a Lecturer at the Sir Syed CASE Institute of Technology in Islamabad, Pakistan (Feb 2024–Present). He teaches advanced courses in Deep Learning, Natural Language Processing (NLP), Programming Fundamentals, and Web Technology. He also supervises final-year projects in cutting-edge domains like computer vision, deep learning, and NLP. Previously, he served as a Research Assistant at COMSATS University Islamabad (Feb 2019–Jul 2021), contributing to impactful research under expert supervision. His efforts have led to publications and advancements in deep learning and NLP.

Research Interests 🔬

Muhammad’s research interests lie at the intersection of deep learning, natural language processing, computer vision, and medical imaging. He is particularly passionate about applying AI techniques to tackle real-world challenges, including tumor segmentation, financial forecasting, and community detection in graph-structured data.

Publications Top Notes 📚

  • Wajid, Muhammad, Iqbal, Ahmed, Malik, Isra, Syed Jawad Hussain, and Yasir Jan.
    “A semi-supervised approach for breast tumor segmentation using sparse transformer attention UNet.”
    Pattern Recognition Letters, 2024.
    [Impact Factor: 3.9]
    DOI: 10.1016/j.patrec.2024.11.008
  • Wajid, Muhammad, and Ahmad Kamran Malik.
    “A Stacked GRU-based Recurrent Deep Learning Approach for Bitcoin Price Prediction to Maximize Profit.”
    Complex & Intelligent Systems, 2024.
    [Impact Factor: 5.0]
    [Under Review]

 

 

 

Aziz A. Fallah | Food Science | Best Researcher Award

Published on by Innovation Technologist

Prof. Aziz A. Fallah | Food Science | Best Researcher Award

Food Hygiene at Shahrekord University, Iran

Prof. Azizollah Fallah Mehrjardi is a renowned Iranian scientist and educator specializing in veterinary food safety and public health. With a career spanning over two decades, he has contributed significantly to academia, research, and food quality assurance. His dedication to improving public health through innovative research and his numerous accolades place him among the leading figures in his field. 🌍🐾🍽️

Publication Profile : 

Orcid

Google Scholar

Education 🎓

Dr. Azizollah Fallah Mehrjardi earned his Doctor of Veterinary Medicine (DVM) degree from Shahid Bahonar University of Kerman in 2000. He further specialized in Food Safety, obtaining a doctorate from the University of Urmia in 2008.

Professional Experience💼

Dr. Fallah has an extensive career in veterinary medicine and food safety. His professional journey began during his military service, where he led the Reference Laboratory and managed infectious disease control in Kerman Province (2000–2002). Later, he headed health and hygiene operations for poultry packaging at Pamchal in Yazd Province (2003–2006) and contributed to enhancing raw milk quality standards. Since 2009, he has been a faculty member in the Department of Food Safety at Shahrekord University, achieving the rank of Professor in February 2020. His administrative roles include Vice Chancellor for Education at the Faculty of Veterinary Medicine (2012–2014) and Director of the Central Library and Information Center (since 2022). Dr. Fallah is also an editorial board member of the prestigious journal Foods (Switzerland).

Research Interests 🔬

Dr. Fallah’s research focuses on food safety and quality, particularly the microbial and chemical assessment of food products, the impact of gamma irradiation on food preservation, and heavy metal contamination in aquatic and dairy products. He is also keenly interested in parasitic contamination in raw vegetables and the bioactive properties of natural antimicrobials.

Publications Top Notes 📚

  1. Fallah, A. A., Tajik, H., & Razavi Rohani, S. M. (2008). Microbial and sensory characteristics of camel meat during refrigerated storage as affected by gamma irradiation. Pakistan Journal of Biological Sciences, 11(6), 894–899.
  2. Fallah, A. A., Jafari, T., Fallah, A., & Rahnama, M. (2009). Determination of aflatoxin M1 levels in Iranian white and cream cheese. Food and Chemical Toxicology, 47(8), 1872–1875.
  3. Zeynali, F., Tajik, H., Asri-Rezaei, S., Meshkini, S., Fallah, A. A., & Rahnama, M. (2009). Determination of copper, zinc, and iron levels in edible muscle of three commercial fish species from Iranian coastal waters of the Caspian Sea. Journal of Animal and Veterinary Advances, 8(7), 1285–1288.
  4. Fallah, A. A., Tajik, H., & Farshid, A. A. (2010). Chemical quality, sensory attributes, and ultrastructural changes of gamma-irradiated camel meat. Journal of Muscle Foods, 21(3), 597–613.
  5. Fallah, A. A. (2010). Assessment of aflatoxin M1 contamination in pasteurized and UHT milk marketed in central Iran. Food and Chemical Toxicology, 48(3), 988–991.
  6. Fallah, A. A. (2010). Aflatoxin M1 contamination in dairy products marketed in Iran during winter and summer. Food Control, 21(11), 1478–1481.
  7. Fallah, A. A., Saei-Dehkordi, S. S., & Rahnama, M. (2010). Enhancement of microbial quality and inactivation of pathogenic bacteria by gamma irradiation of ready-to-cook Iranian barbecued chicken. Radiation Physics and Chemistry, 79(10), 1073–1078.
  8. Saei-Dehkordi, S. S., Fallah, A. A., & Nematollahi, A. (2010). Arsenic and mercury in commercially valuable fish species from the Persian Gulf: Influence of season and habitat. Food and Chemical Toxicology, 48(10), 2945–2950.
  9. Saei-Dehkordi, S. S., & Fallah, A. A. (2011). Determination of copper, lead, cadmium, and zinc content in commercially valuable fish species from the Persian Gulf using derivative potentiometric stripping analysis. Microchemical Journal, 98(1), 156–162.
  10. Fallah, A. A., Saei-Dehkordi, S. S., & Nematollahi, A. (2011). Comparative assessment of proximate composition, physicochemical parameters, fatty acid profile, and mineral content in farmed and wild rainbow trout (Oncorhynchus mykiss). International Journal of Food Science and Technology, 46(4), 767–773.
  11. Fallah, A. A., Saei-Dehkordi, S. S., Nematollahi, A., & Jafari, T. (2011). Comparative study of heavy metal and trace element accumulation in edible tissues of farmed and wild rainbow trout (Oncorhynchus mykiss) using ICP-OES technique. Microchemical Journal, 98(2), 275–279.
  12. Fallah, A. A., Zeynali, F., Saei-Dehkordi, S. S., Rahnama, M., & Jafari, T. (2011). Seasonal bioaccumulation of toxic trace elements in economically important fish species from the Caspian Sea using GFAAS. Journal für Verbraucherschutz und Lebensmittelsicherheit, 6(3), 367–374.
  13. Fallah, A. A., Rahnama, M., Jafari, T., & Saei-Dehkordi, S. S. (2011). Seasonal variation of aflatoxin M1 contamination in industrial and traditional Iranian dairy products. Food Control, 22(10), 1653–1656.
  14. Fallah, A. A., Pirali-Kheirabadi, K., Shirvani, F., & Saei-Dehkordi, S. S. (2012). Prevalence of parasitic contamination in vegetables used for raw consumption in Shahrekord, Iran: Influence of season and washing procedure. Food Control, 25, 617–620.
  15. Saei-Dehkordi, S. S., Fallah, A. A., & Kousha, S. (2012). Chemical composition and antioxidative activity of Echinophora platyloba DC. essential oil, and its interaction with natural antimicrobials against food-borne pathogens and spoilage organisms. Journal of Food Science, 77(11), M631–M637.

 

 

 

Namita Das Saha | Environmental Science | Excellence in Research

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Dr. Namita Das Saha | Environmental Science | Excellence in Research

Senior Scientist at NIRCA, Indian Council of Agricultural Research, India

Dr. Namita Das Saha is a Senior Scientist at ICAR-CTRI, RS-Dinhata, West Bengal, India. She holds a Ph.D. in Environmental Sciences from ICAR-IARI, New Delhi. Her research focuses on the impact of anthropogenic stressors like agricultural management practices, elevated CO2, temperatures, and ozone (O3) pollution on soil ecosystems, particularly soil biota and nutrient mineralization. She has contributed extensively to areas like microplastic contamination in soil, microbial mitigation techniques for greenhouse gas emissions, and biochar-based soil reclamation. She has also worked on enhancing the production and quality of crops like chili and turmeric using microbial interventions.

Publication Profile : 

Scopus

Education 🎓

Dr. Das Saha completed her Ph.D. in Environmental Sciences from ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi (2011), with a focus on climate change variables affecting plant pathogenesis. She earned her M.Sc. in Environmental Sciences from ICAR-IARI in 2007 and a B.Sc. (Ag.) Hons. from Uttar Banga Krishi Viswa Vidyalaya, West Bengal, in 2004.

Professional Experience💼

Dr. Saha has a diverse career in academia and research. She currently serves as a Senior Scientist at ICAR-CTRI, Dinhata, West Bengal. Prior to this, she held various positions at the Indian Agricultural Research Institute (IARI), New Delhi, including Senior Scientist and Scientist. She has also contributed to teaching at Central University of South Bihar and the Central University of Rajasthan.

Research Interests 🔬

Dr. Saha’s research interests span soil microbiology, biogeochemistry, climate change, and environmental science. She focuses on understanding how agricultural practices, such as organic farming, interact with elevated CO2 and ozone levels to affect soil microbial communities, enzymes involved in nutrient cycling, and soil health. Her work also delves into mitigating GHG emissions from agricultural soils and understanding the effects of microplastic contamination in farm soils.

Awards 🏅

Dr. Saha has received several prestigious awards throughout her career, recognizing her contributions to environmental science and agriculture. These include awards for her work on soil microbial diversity and contributions to sustainable agriculture practices under climate change.

Publications Top Notes 📚

  1. Das Saha, Namita et al. (2024). Vis-NIR spectroscopy based rapid and non-destructive method to quantitate microplastics: An emerging contaminant in farm soil. Science of the Total Environment Link. (Impact Factor: 9.8)
  2. Bhattacharyya, Ranjan et al. (2023). Elevated CO2 alters aggregate-carbon and microbial community but does not affect total soil organic C in the semi-arid tropics. Applied Soil Ecology Link. (Impact Factor: 5.31)
  3. Dutta, A. et al. (2023). Conventional and Zero Tillage with Residue Management in Rice–Wheat System in the Indo-Gangetic Plains: Impact on Thermal Sensitivity of Soil Organic Carbon Respiration and Enzyme Activity. Int. J. Environ. Res. Public Health Link. (Impact Factor: 4.54)
  4. Das, Sourav et al. (2022). Soil aggregate associated carbon and organic carbon pools as affected by conversion of forest lands to agriculture in an acid soil of India. Soil and Tillage Research Link. (Impact Factor: 7.42)
  5. Das Saha, Namita et al. (2021). Evaluation of Bt cotton effects on belowground microbial community structure and function in tropical western India. International Journal of Environmental Science and Technology Link. (Impact Factor: 2.86)

 

 

 

Manas Ranjan Sethi | ECE | Best Researcher Award

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Mr. Manas Ranjan Sethi | ECE | Best Researcher Award

Research Scholar at NIT Silchar, India

Manas Ranjan Sethi is a dedicated academic professional currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar, with a strong focus on machine learning applications in fault diagnosis and energy systems. He holds an M.Tech in Electronics & Telecommunication from BPUT, Odisha and has over 12 years of teaching experience, having worked as an Assistant Professor at Gandhi Institute for Technology (GIFT) and as a Lecturer at Koustuv Institute of Self Domain, Bhubaneswar. His research interests include machine learning, signal processing, and sustainable energy systems, particularly in wind turbine diagnostics and emotion recognition using EEG signals. Manas has contributed to numerous journals, conferences, and book chapters, and he has earned distinctions such as qualifying CBSE-UGC NET and GATE. He is also skilled in technical tools, enjoys singing, and has a passion for reading.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Manas Ranjan Sethi is currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar (since March 2020). He holds an M.Tech in Electronics & Telecommunication (Specialization in Communication Engineering) from BPUT, Odisha (2012), with a CGPA of 8.20. He completed his B.E. in Electronics & Telecommunication from BPUT, Odisha, in 2006, securing a 62.19%. Additionally, he completed his +2 Science and Matriculation from MP Board, Madhya Pradesh.

💼 Professional Experience :

Manas has a rich academic career spanning over 12 years. He served as an Assistant Professor in the Electronics & Communication Engineering Department at Gandhi Institute for Technology (GIFT), Bhubaneswar, from November 2013 to March 2020. Prior to that, he worked as a Lecturer in the Electronics & Telecommunication Engineering Department at Koustuv Institute of Self Domain, Bhubaneswar, from July 2007 to November 2013. He has a strong foundation in teaching and mentoring students in the field of Electronics and Communication Engineering.

📚 Research Interests : 

Manas’s research interests lie in the domains of Machine Learning, Signal Processing, and Fault Diagnosis. His work focuses on vibration signal-based diagnostics and energy extraction using wind turbines. He is passionate about leveraging machine learning techniques for predictive maintenance and condition monitoring. His recent research includes the application of meta-classifiers for diagnosing wind turbine blade faults and exploring emotion recognition through EEG signals.

🏆Achievements & Certifications :

Manas has earned several academic distinctions, including qualifying the CBSE-UGC NET (Electronic Science) in July 2018, and securing GATE scores of 260 (2016) and 218 (2011) in Electronics and Communication. He has also attended and contributed to various seminars, workshops, and short-term courses in fields such as VLSI Design, Microwave Filters, and Adaptive Signal Processing.

📝 Publication Top Notes :

  • Sethi, M. R., Subba, A. B., Faisal, M., Sahoo, S., & Koteswara Raju, D. (2024). Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal. Engineering Applications of Artificial Intelligence, 138, 109372.
  • Sethi, M. R., Sahoo, S., Dhanraj, J. A., & Sugumaran, V. (2023). Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach. Smart and Sustainable Manufacturing Systems, 7(1), 14–40.
  • Chatterjee, S., Sethi, M. R., & Asad, M. W. A. (2016). Production phase and ultimate pit limit design under commodity price uncertainty. European Journal of Operational Research, 248(2), 658–667.
  • Sethi, M. R., Parhi, S. S., Sahoo, S., Sugumaran, V., & Mohanty, S. R. (2023). Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study. Proceedings of the 2023 IEEE Region 10 Symposium, TENSYMP 2023.
  • Kar, P., Hazarika, J., & Sethi, M. R. (2023). A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG. Proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023.
  • Banala, H. S., Sahoo, S., Sethi, M. R., & Sharma, A. K. (2023). Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques. In R. Doriya, B. Soni, A. Shukla, & X. Z. Gao (Eds.), Machine Learning, Image Processing, Network Security and Data Sciences (Lecture Notes in Electrical Engineering, Vol. 946), 401–411. Springer, Singapore.
  • Sethi, M. R., Sahoo, S., Kanoongo, S., & Hemasudheer, B. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier. Proceedings of the 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET 2022), 1–6. doi: 10.1109/ICEFEET51821.2022.9848401.
  • Sethi, M. R., Hemasudheer, B., Sahoo, S., & Kanoongo, S. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers. Proceedings of the 2022 4th International Conference on Energy, Power, and Environment (ICEPE 2022), 1–5. doi: 10.1109/ICEPE55035.2022.9798026.