Chaudhuri Manoj Kumar Swain | Wireless Communications | Best Researcher Award

Published on 22/10/202423/10/2024 by Shen Awards

Dr. Chaudhuri Manoj Kumar Swain | Wireless Communications | Best Researcher Award

Assistant Professor, Anurag University, India

An accomplished academician and researcher, Dr. Chaudhuri Manoj Kumar Swainis currently an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Anurag University, Hyderabad. With nearly six years of teaching experience under BPUT University and over six years of research experience as a Ph.D. scholar at NIT Rourkela, Dr. Chaudhuri Manoj Kumar Swain has developed expertise in wireless communications, 5G/6G technologies, and signal processing. He has published extensively in various esteemed journals and conferences, contributing significantly to the fields of wireless network optimization and physical layer design. Dr. Chaudhuri Manoj Kumar Swain is passionate about advancing technical education through cutting-edge research and innovative teaching methods.

Profile

Google Scholar

Education (150 words)

Ph.D. in Signal Processing and Wireless Communications (2020) National Institute of Technology (NIT), Rourkela, Odisha, India CGPA: 8.63 M.Tech in Communication Systems Engineering (2012) Biju Patnaik University of Technology (BPUT), Odisha, India CGPA: 8.62 B.E. in Electronics & Telecommunication Engineering (2005) Biju Patnaik University of Technology (BPUT), Odisha, India

Experience

Assistant Professor (Dec 2020–Present): Department of ECE, Anurag University, Hyderabad, Telangana. Roles: R&D Coordinator, Board of Studies Member, Core Team of AnuragSAT Project. Ph.D. Research Scholar (2014–2020): National Institute of Technology (NIT), Rourkela, Odisha. Specialization: Wireless communications, signal processing, and 5G networks. Senior Lecturer (2008–2014): Koustuv Institute of Self Domain (KISD), BPUT, Odisha. esponsibilities: Teaching and mentoring in ECE, focusing on wireless sensor networks and communication engineering. Faculty (2005–2007): Institute of Information Studies (IIS), Bhubaneswar, Odisha. Focus: Embedded systems, microcontrollers, and digital electronics.

Awards and Honors

R&D Coordinator, ECE Department (Anurag University): Spearheaded multiple research projects in wireless communications.Board of Studies Member (Anurag University): Instrumental in curriculum development and academic innovation.Core Team Member (AnuragSAT Project): Contributed to the development of Anurag University’s satellite project.Ph.D. Excellence Award (NIT Rourkela): Recognized for research contributions in signal processing and wireless communications.Best Paper Awards at various national and international conferences for publications on 5G network optimization.Teaching Excellence Award from BPUT for outstanding contributions to technical education and mentoring.Merit Scholarship during M.Tech and Ph.D. for academic excellence.

Research Focus

5G/6G Wireless Networks: Research on advanced wireless technologies for next-gen communication.Tera Hertz Communications: Focused on harnessing THz frequency bands for ultra-fast data transfer.Cell-Free Massive MIMO: Optimizing large-scale multiple-input multiple-output systems to improve network efficiency.Physical Layer Design for 5G/6G: Development of innovative signal processing techniques to enhance wireless communication.Cooperative Communications: Investigating multi-device cooperation to boost wireless network performance.Wireless Network Optimization: Planning and deploying wireless networks to achieve better coverage and data throughput.Machine Learning in Wireless Networks: Application of AI and ML algorithms for optimizing network operations and resource allocation.

Conclusion

The candidate possesses an impressive combination of teaching experience, technical expertise, and research contributions in a highly relevant and evolving field—wireless communications. Their strengths in 5G/6G technology, machine learning applications, and signal processing position them as a strong contender for the Best Researcher Award. However, focusing on increasing the visibility of their work through high-impact publications, international collaborations, and patentable innovations could further solidify their candidacy. Overall, they have the potential to significantly contribute to advancements in wireless communications and related fields, making them a highly suitable candidate for the award.

Publication Top Notes

Effects of threshold-based relay selection algorithms on the performance of an IEEE 802.16 j mobile multi-hop relay (MMR) WiMAX network
CMK Swain, S Das
Journal: Digital Communications and Networks
Cited By: 14
Year: 2018

Cyclostationary based spectrum sensing in cognitive radio: Windowing approach
J Mishra, DK Barik, CMK Swain
Journal: a a
Cited By: 11
Year: 2014

Study and impact of relay selection schemes on performance of an IEEE 802.16 j mobile multihop relay (MMR) WiMAX network
CMK Swain, S Das
Journal: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications
Cited By: 6
Year: 2018

Throughput performance analysis of an integrated mobile WiMAX—DSRC cellular network with adaptive modulation and coding technique
VK Gugulothu, CMK Swain, S Das
Conference: 2017 2nd IEEE International Conference on Recent Trends in Electronics
Cited By: 4
Year: 2017

Brain Tumor Segmentation using LinkNet
P Sameer, VAR Kaushik, R Indrakanti, CMK Swain
Conference: 2022 Second International Conference on Next Generation Intelligent Systems
Cited By: 2
Year: 2022

Proposed prediction framework for improving the accuracy of path loss models of WiMAX network
CMK Swain, S Das
Journal: Wireless Personal Communications
Cited By: 2
Year: 2021

Estimation of path loss model for a 2.65 GHz mobile WiMAX network deployed in a sub-urban environment with regression techniques
CMK Swain, S Das
Journal: Wireless Personal Communications
Cited By: 2
Year: 2018

Electroencephalogram (EEG) signal denoising using optimized wavelet transform (WT) – A study
CMK Swain, A Singh, I Raghu
Book Chapter: Computational Intelligence in Medical Decision Making and Diagnosis
Cited By: 1
Year: 2023

Development of an empirical path loss model for a deployed 2.63 GHz WiMAX network in a rural environment
CMK Swain, S Das
Conference: 2015 IEEE Power, Communication and Information Technology Conference (PCITC)
Cited By: 1
Year: 2015

Coverage analysis of coded orthogonal frequency division multiplexing (C-OFDM) based high speed railways (HSR) networks under different propagation scenarios
CMK Swain
Journal: e-Prime – Advances in Electrical Engineering, Electronics, and Energy
Year: 2024

Performance Analysis of OFDM and OQAM/FBMC based Communication Networks under Vehicular Channel Models: A Comparative Study
CMK Swain, I Raghu, J Raiguru
Conference: 2022 Second International Conference on Next Generation Intelligent Systems
Year: 2022

A Study on Development of Path loss Modelling Schemes and Coverage Analysis for a Broadband Wireless Access Network
CMK Swain
Year: 2020

Coverage Probability Analysis of WiMAX Network under Additive White Gaussian Noise and Predicted Empirical Path Loss Model
CMK Swain, S Das
Journal: International Journal of Electronics and Communication Engineering
Year: 2019

Junjie Liu | pharmaceutics | Best Researcher Award

Published on 22/10/202424/10/2024 by Shen Awards

Prof. Junjie Liu | pharmaceutics | Best Researcher Award

professor, Zhengzhou University, China

Liu Junjie is a professor and PhD supervisor at the School of Pharmacy, Zhengzhou University. 🎓 He completed his PhD in pharmaceutical sciences from Chongqing University in 2018. 📚 With over 40 publications in top journals like Sci Adv and Adv Mater, he is a recognized leader in his field. 🧬 He has led 10 major research projects, including grants from the National Natural Science Foundation of China. 🌍 Liu has received multiple prestigious honors, including youth talent support and high-level talent awards. 🚀 His contributions in pharmaceutical science are shaping the future of health and medicine.

Profile

Education🎓

Liu Junjie obtained his PhD in pharmaceutical sciences from Chongqing University in 2018. 🏫 His advanced training in pharmaceutical sciences allowed him to develop expertise in drug development and pharmaceutical research. 📑 His education combined rigorous theoretical knowledge and hands-on experience in the laboratory, equipping him with the tools necessary for groundbreaking research. 🧪 He also pursued further professional development through leading postdoctoral research, continuously building on his PhD training. 💡 His academic foundation serves as the cornerstone for his innovative work in drug discovery and therapeutic development.

Experience🧑‍🏫

Liu Junjie is currently a professor and PhD supervisor at Zhengzhou University’s School of Pharmacy. 🔬 He has extensive experience leading pharmaceutical research and managing collaborative research projects. 🧑‍🔬 Since completing his PhD, he has overseen 10 major research projects, including those supported by the National Natural Science Foundation of China. 🌟 His work has been featured in over 40 SCI-indexed publications as the first or corresponding author, showcasing his strong research output. 🌿 Liu is also actively involved in mentorship, guiding PhD students and shaping the next generation of pharmaceutical scientists.

Awards and Honors🏆

Liu Junjie has received numerous prestigious awards for his contributions to pharmaceutical research. 🎖️ Notably, he has been recognized by the China Association for Science and Technology with the Youth Talent Support award. 🌟 His high-level talent and innovative contributions to the field have earned him recognition in Henan Province, where he received the High-level Talent Award and was named an Outstanding Youth Talent in the Central Plains. 💼 Additionally, he was awarded the Innovative Talent Award for his role in advancing pharmaceutical research at Henan’s Higher Education Institutions.

Research Focus🔬

Liu Junjie’s research focuses on the development of innovative drugs and therapeutic treatments. 🧪 His work aims to bridge the gap between basic pharmaceutical sciences and clinical applications, exploring drug delivery systems and novel therapeutic materials. 🧬 He is particularly interested in precision medicine and the design of targeted therapies to improve treatment efficacy and minimize side effects. 🌍 His interdisciplinary research integrates chemistry, biology, and materials science to advance drug development, leading to over 40 high-impact publications in renowned scientific journals. 📈 His research aims to transform healthcare and patient outcomes.

Publication Top Notes

In situ implantable DNA hydrogel for diagnosis and therapy of postoperative rehemorrhage following intracerebral hemorrhage surgery

Published in: Science Advances (2024, 10(33), ado3919)
Authors: Yu, W., Gong, E., Wang, C., Liu, J., Shi, J.
Overview: This research focuses on a DNA hydrogel that can be implanted in situ to diagnose and treat rehemorrhage after intracerebral hemorrhage surgery, providing a new tool for post-surgical care.

2. In situ formation of biohybrid system based on Streptococcus pneumoniae for enhanced radical therapy against tumors

Published in: Cell Reports Physical Science (2024, 5(7), 102074)
Authors: Zhao, X., Wang, Q., Dong, H., Liu, J., Shi, J.
Overview: The study explores a biohybrid system using Streptococcus pneumoniae for improved radical cancer therapies, targeting tumors more effectively.

3. Retraction Note: Copper-based metal-organic framework impedes triple-negative breast cancer metastasis via local estrogen deprivation and platelets blockade

Published in: Journal of Nanobiotechnology (2024, 22(1), pp. 302)
Authors: Wang, S., Yin, N., Li, Y., Si, P., Liu, J.
Overview: This article was retracted, but it originally examined how copper-based frameworks prevent breast cancer metastasis by blocking estrogen and platelets.

4. A Neutrophil Hijacking Nanoplatform Reprograming NETosis for Targeted Microglia Polarizing Mediated Ischemic Stroke Treatment

Published in: Advanced Science (2024, 11(17), 2305877)
Authors: Yin, N., Wang, W., Pei, F., Wang, Z.-H., Liu, J.
Overview: The research proposes a nanoplatform that hijacks neutrophils to treat ischemic stroke by modulating microglia polarization.

5. Ultrasensitive Optical Detection and Elimination of Residual Microtumors with a Postoperative Implantable Hydrogel Sensor for Preventing Cancer Recurrence

Published in: Advanced Materials (2024, 36(14), 2307923)
Authors: Geng, S., Guo, P., Wang, J., Shi, J., Liu, J.
Overview: This article focuses on an optical sensor integrated with a hydrogel to detect and remove microtumors post-surgery, reducing cancer recurrence risk.

6. Biomimetic Nanovehicle-Enabled Targeted Depletion of Intratumoral Fusobacterium nucleatum Synergizes with PD-L1 Blockade against Breast Cancer

Published in: ACS Nano (2024, 18(12), pp. 8971–8987)
Authors: Geng, S., Guo, P., Li, X., Liu, J., Yang, Y.
Overview: This study examines a nanovehicle that targets Fusobacterium nucleatum within tumors to boost the effectiveness of PD-L1 blockade therapies for breast cancer.

Conclusion

Liu Junjie is an excellent candidate for the Best Researcher Award. His robust academic output, leadership in research projects, mentorship, and numerous recognitions make him well-suited for this prestigious recognition. While expanding his international collaborations and increasing the practical application of his research could further enhance his candidacy, his contributions to pharmaceutical sciences and his leadership in innovative research projects make him a strong contender for this award.

Maksud Hasan Shah | Restorative Dentistry | Best Researcher Award

Published on 19/10/202421/10/2024 by Shen Awards

Dr. Maksud Hasan Shah | Restorative Dentistry | Best Researcher Award

Professor at Bidhan Chandra Krishi Viswavidyalaya, India

A dedicated agricultural professional with a strong background in agronomy, specializing in weed management. Currently serving as an Assistant Professor and guest faculty member at COA Chandgothi and COA Mandawa, affiliated with Swami Keshewanand Rajasthan Agriculture University. With three years of research experience under the AICRP on Weed Management Project, they have a passion for improving crop production and sustainability in agriculture.

Profile

Scopus Profile

Education 🎓

Graduated with an M.Sc. in Agronomy from Visva-Bharati Palli Siksha Bhavana in 2019, achieving a CGPA of 8.27. Completed a B.Sc. (Ag.) Hons. from the same institution in 2017 with a CGPA of 7.37. Also holds a Higher Secondary certificate from W.B.C.H.S.E. (2012) and a Madhyamik certificate from W.B.B.S.E. (2010), both with First Division marks.

Experience 💼

Possesses three years of research experience focusing on weed management in lab and field settings, specifically under the AICRP on Weed Management Project (2019-2022). Currently works as an Assistant Professor at COA Chandgothi and COA Mandawa, overseeing research on climate change and farming systems, including planning, executing experiments, and technical report writing.

Awards and Honors 🏆

Qualified the ASRB (ICAR) NET in 2019 and 2021, demonstrating expertise in agricultural research. Recognized for contributions to weed management research and innovative practices in crop production. Commended for developing effective proposals for research projects and executing successful evaluations of agricultural activities.

Research Focus 🔍

Research interests include weed management, irrigation and water management, crop production and cropping systems, and site-specific nutrient management. Dedicated to exploring sustainable agricultural practices and enhancing productivity through innovative management techniques, addressing the challenges of climate change in farming systems.

Conclusion

Based on the strengths outlined, the candidate possesses the qualifications, experience, and personal qualities that make them a strong contender for the Best Researcher Award. Their academic performance and research background demonstrate their capability to contribute significantly to the field of agronomy, particularly in weed management and crop production. By addressing areas for improvement, such as increasing research publication activity and enhancing collaborative efforts, the candidate can further elevate their profile within the research community. Thus, they are highly suitable for this award, as it would recognize their hard work and encourage continued excellence in their research endeavors.

Publication Top Notes

Effects of Climate Change on Plant Growth and Development

Authors: Shah, M.H., Pramanik, K., Md. Ajaharuddin, S.K., Atta, K., Pande, C.B.

. The Impact of Climate Change on Plant Diseases and Food Security

Authors: Shah, M.H., Aktar, S.N., Pramanik, K., Pande, C.B., Ali, G.T.

3. MicroRNAs in Plant-Insect Interaction and Insect Pest Control

Authors: Goswami, S., Tripathy, P.S., Gadekar, M., Dash, S.S., Ajaharuddin, S.K.M.D.

. Insect-Plant-Pathogen: Toxicity, Dependence, and Defense Dynamics

Authors: Ajaharuddin, S.K.M.D., Kumar Das, K., Kar, P., Shah, M.H., Goswami, S.

5. Bacillus Secondary Metabolites and Their Applications in Agriculture

Authors: Barman, M., Shah, M.H., Samanta, S., Pramanik, K., Islam, S.

6. Beneficial Fungi as a Biocontrol Agent Against Fungi

Authors: Islam, S., Banerjee, A., Shah, M.H., Rahman, S.K.S., Hossain, A.

7. Citrus Lemon and Stressful Conditions

Authors: Shah, M.H., Ajaharuddin, S.M., Rahman, S.K.S., Hossain, A., Abdel Latef, A.A.H.

8. Moringa Oleifera Under Stressful Conditions

Authors: Islam, S., Ali, M., Banerjee, A., Ahammad, F., Hossain, A.

9. Ricinus Communis and Stressful Conditions

Authors: Shah, M.H., Saha, S., Barman, M., Hossain, A., Ajaharuddin, S.M.

10. Physiological and Biochemical Approaches for Mitigating the Effect of Abiotic Stresses in Wheat

Authors: Atta, K., Singh, A.P., Dash, S.S.S., Dutta, D., Hossain, A.

Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

Published on 14/10/202415/10/2024 by Shen Awards

Ms. Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

Research Scholar at College of Engineering Guindy, Anna University, India

G. Umaa Mahesswari is a highly motivated research scholar from Chennai, India, with a passion for innovation and technology. With a solid foundation in Computer Science, her academic journey spans from her B.E. at R.M.K College to a Ph.D. at Anna University, specializing in Big Data Analytics. Umaa has worked on significant projects like IoT-based air pollution detection and digital inscription readers for ancient Tamil stone inscriptions. A recipient of the prestigious Anna Research Fellowship, she is dedicated to leveraging technology for social good. Her technical expertise and passion for research make her a valuable asset in the R&D domain.

Profile

ORCID Profile

Education 📘🎓

Bachelor of Engineering (B.E.) in Computer Science from R.M.K College of Engineering and Technology, Chennai (2015-2019), with a CGPA of 8.65.Master of Engineering (M.E.) in Computer Science with a Specialization in Big Data Analytics from College of Engineering, Guindy, Anna University, Chennai (2019-2021), with a CGPA of 9.07.Ph.D. in Computer Science from College of Engineering, Guindy, Anna University (2023-present).Completed the Google Data Analytics Professional Specialization Course via Coursera (2021), enhancing her skills in data-driven problem-solving.

Experience 💼📊

Research Project Assistant at Tamil Virtual Academy (2022), working on the development of an inscription reader for ancient Tamil temple inscriptions, supervised by Dr. P. Uma Maheswari.Undergraduate project on IoT-based air pollution detection and analysis, focusing on real-time data collection and environmental monitoring.Postgraduate project on predictive analytics for plastic disposal by Walmart India, contributing to sustainable business solutions.Proficient in machine learning, data visualization, and SQL, with significant contributions to the field of Big Data Analytics.

Awards and Honors 🏆🎖

Academic Topper in the third year of her B.E. program, demonstrating her dedication to academic excellence.Nominee for Best Outgoing Student Award at the end of her undergraduate studies.Prize winner in several intra-college cultural competitions, showcasing her versatility beyond academics.Anna Research Fellowship Holder from 2023 to 2025, awarded in recognition of her research potential in Big Data Analytics.Published academic papers in esteemed venues like Springer ICTIS and Computer Society of India, highlighting her contributions to the academic community.

Research Focus 🔍💡

Umaa Mahesswari’s research focuses on leveraging Big Data Analytics, Machine Learning, and Deep Learning to solve pressing societal challenges. Her projects span diverse areas such as IoT-based environmental monitoring, predictive analytics for waste management, and digital solutions for heritage preservation (Tamil inscriptions). She aims to develop data-driven solutions that improve sustainability and drive innovation. Her ongoing Ph.D. research explores pattern recognition and data visualization techniques to extract meaningful insights from large datasets, with the goal of enhancing decision-making processes in both academic and practical settings.

Conclusion

G. Umaa Mahesswari is an exceptional candidate for the Best Scholar Award due to her innovative research, academic achievements, and technical expertise. By further broadening her research scope and international collaborations, she could elevate her already impressive profile and contribute even more profoundly to the global research community.

Mehdi Ghatee | Artificial Intelligence | Best Researcher Award

Published on 08/10/202408/10/2024 by Shen Awards

Prof. Mehdi Ghatee | PArtificial Intelligence | Best Researcher Award

Full Professor at Amirkabir University of Technology, Iraq

This individual is a highly skilled project manager with expertise in intelligent transportation systems and infrastructure. They have led several high-profile ITS projects across Iran, including the Action Plan for Intelligent Transportation Systems in Shiraz and national projects involving intracity and intercity ITS. Their work focuses on optimizing transportation systems using advanced technologies such as artificial intelligence, neural networks, and data science. With a career spanning over two decades, they have contributed significantly to improving Iran’s public transportation and highway systems, as well as advising on critical petroleum transport safety issues.

Profile

Google Scholar Profile

Education🎓

They hold advanced degrees in engineering and transportation systems, including specialized training in artificial intelligence and network optimization. Their academic journey began with a focus on optimizing transportation networks, and they later pursued studies that explored neural networks and intelligent transportation systems. Through continued education and professional development, they gained cutting-edge knowledge in data mining and its applications in transportation. Their interdisciplinary background merges technical expertise with the management of large-scale infrastructure projects.

Experience💼

The individual has a rich professional background in transportation management. They have served as a project manager for various organizations, including the Shiraz Municipality, Tehran Deputy of Traffic, MSRT, and Tehran Control Traffic Company. Their leadership has been instrumental in developing intelligent transportation solutions and investigating hazardous material transportation risks. They also advised on BRT systems and public transportation initiatives. With over 15 years of experience in both the public and private sectors, they’ve been at the forefront of implementing ITS and advising on petroleum-related transport and logistics.

Awards & Honors🏆

Over their career, the individual has been recognized for their contributions to transportation system innovation and project management excellence. Their leadership on intelligent transportation systems projects has earned them accolades from governmental bodies such as the MSRT and NIOPDC. Notable achievements include awards for the implementation of cutting-edge ITS technologies, as well as safety improvements in the transportation of hazardous materials. Their work has significantly enhanced public transit systems in major Iranian cities, particularly Tehran and Shiraz, positioning them as a key figure in national transportation projects.

Research Focus 🔬

Their research primarily revolves around the application of artificial intelligence and neural networks in optimizing transportation networks. Starting with a focus on network optimization in 2004, they expanded their interests to intelligent transportation systems (ITS) and later neural networks and data mining. They aim to create efficient and safer transportation systems through the use of AI, exploring ways to minimize congestion, enhance road safety, and improve the transportation of goods, especially hazardous materials. Their work intersects with both public transit and highway infrastructure improvements through innovative tech solutions.

Conclusion

The candidate possesses outstanding credentials in intelligent transportation systems and AI-driven technologies, making them a strong contender for the Best Researcher Award. Their vast project management experience, coupled with a diverse research portfolio in AI, neural networks, and data science, aligns well with the award criteria. To further solidify their candidacy, expanding their international collaborations and academic contributions would provide a broader platform for their innovative work, making them a more recognized figure in the global research community.

A systematic review on overfitting control in shallow and deep neural networks
- Authors: MM Bejani, M Ghatee
- Journal: Artificial Intelligence Review
- Citations: 304
- Year: 2021
- Details: This review addresses various methods for controlling overfitting in neural networks, both shallow and deep, presenting strategies and techniques for improving generalization in machine learning models.
Computational methods for solving fully fuzzy linear systems
- Authors: M Dehghan, B Hashemi, M Ghatee
- Journal: Applied Mathematics and Computation
- Citations: 298
- Year: 2006
- Details: This paper introduces novel computational techniques to solve fully fuzzy linear systems, which have applications in systems where uncertainty is modeled using fuzzy logic.
Solution of the fully fuzzy linear systems using iterative techniques
- Authors: M Dehghan, B Hashemi, M Ghatee
- Journal: Chaos, Solitons & Fractals
- Citations: 171
- Year: 2007
- Details: Focuses on iterative techniques to solve fuzzy linear systems, providing an alternative to traditional crisp systems solutions.
A context-aware system for driving style evaluation by an ensemble learning on smartphone sensors data
- Authors: MM Bejani, M Ghatee
- Journal: Transportation Research Part C: Emerging Technologies
- Citations: 153
- Year: 2018
- Details: Proposes an ensemble learning model for driving style evaluation using smartphone sensor data, improving transportation safety and behavior analysis.
Convolutional neural network with adaptive regularization to classify driving styles on smartphones
- Authors: MM Bejani, M Ghatee
- Journal: IEEE Transactions on Intelligent Transportation Systems
- Citations: 84
- Year: 2019
- Details: Introduces CNNs with adaptive regularization techniques for classifying driving styles using mobile sensor data.
Hybrid of discrete wavelet transform and adaptive neuro-fuzzy inference system for overall driving behavior recognition
- Authors: HR Eftekhari, M Ghatee
- Journal: Transportation Research Part F: Traffic Psychology and Behavior
- Citations: 83
- Year: 2018
- Details: Combines wavelet transforms and neuro-fuzzy systems to recognize driving behaviors, helping in real-time traffic safety assessments.
A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors
- Authors: HR Eftekhari, M Ghatee
- Journal: Journal of Intelligent Transportation Systems
- Citations: 68
- Year: 2019
- Details: Describes a neuro-fuzzy modeling approach for driving behavior detection using fused smartphone sensor data.
Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions
- Authors: RB Zadeh, M Ghatee, HR Eftekhari
- Journal: IEEE Transactions on Intelligent Transportation Systems
- Citations: 65
- Year: 2017
- Details: Develops a warning system using fuzzy logic for protecting road users, especially pedestrians and cyclists.
An inference engine for smartphones to preprocess data and detect stationary and transportation modes
- Authors: HR Eftekhari, M Ghatee
- Journal: Transportation Research Part C: Emerging Technologies
- Citations: 65
- Year: 2016
- Details: Introduces an inference engine to classify transportation modes from smartphone data, improving mobility tracking.
Optimal network design and storage management in petroleum distribution network under uncertainty
- Authors: M Ghatee, SM Hashemi
- Journal: Engineering Applications of Artificial Intelligence
- Citations: 60
- Year: 2009
- Details: Proposes a model for optimizing petroleum distribution networks, considering uncertainty factors in supply chains.

Mohamed Hamdy Eid | Scholarship | Best Researcher Award

Published on 28/02/2024 by Shen Awards

Dr. Mohamed Hamdy Eid | Scholarship | Best Researcher Award

Environmental Management at Scholarship, Miskolc University, Hungary

Mohamed Hamdy Eid Hemida is an Assistant Lecturer at the Faculty of Science, University of Miskolc, located at 3515 Miskolc-Egyetemváros, Hungary. As an Assistant Lecturer, Mohamed likely teaches courses and assists in academic activities within the Faculty of Science at the University of Miskolc.

Professional Profiles:

Scopus Profile

Work Experience:

Hassan Osman Hassan worked as an Assistant Lecturer at the Faculty of Science, Beni-Suef University, from 2017 to 2021. He taught practical courses in Hydrology, Hydrogeology, Water Quality, Water Resources, Geophysics, Rocks, Mineralogy, Stratigraphy, Crystallography, and Water Treatment. Additionally, he taught software skills such as ArcGIS, AQUACHEM, Grapher, Surfer, and Diagrammes. Hassan also instructed on field and laboratory measurements of water samples and rocks from different sources.

Education:

Hassan Osman Hassan’s educational background includes a BSc in Geology and Chemistry from Beni-Suef University, Egypt, with first-class honors (2012-2015). He also completed a Pre-Master in Hydrogeology at Beni-Suef University (2016-2020). Hassan holds an MSc in Environmental Engineering from Szent István University, Hungary, with a GPA of 4.85/5 (2018-2020). Currently, he is pursuing a PhD in Hydrogeology at the Faculty of Earth Science and Engineering, Miskolc University, with a GPA of 4.88/5 in the third year (2021-Current). Additionally, Hassan serves as a reviewer for international journals such as Science of the Total Environment, Applied Water Science, and Applied Geochemistry.

Awards:

Hassan Osman Hassan received an MSc scholarship in Hungary from 2018 to 2020 and is currently pursuing a PhD scholarship in Hungary from 2021 to 2025. He was awarded the Prize for the Best Student in Egyptian Universities by the Institute for the Preparation of Leaders in 2014. Hassan serves as an Ambassador for Egyptian PhD students in Hungary since 2022 and as a Student Coordinator for the Faculty of Earth Science and Engineering at Miskolc University since 2022. He is also a Consultant for international relations between Egypt and Hungary since 2022, a Mentor at Miskolc University since 2023, and achieved first place in the IWA Young Water Professionals Conference in Canada in 2023.

Research Interest:

Hassan Osman Hassan has a diverse range of expertise in fields such as Hydrology, Hydrogeology, Isotopes Geochemistry, Water Quality, Water Management, Environmental and Health Risk Assessment, Groundwater Modeling, Water Treatment, Statistical Analysis, Machine Learning (ML), and Artificial Intelligence (AI).

Training:

Hassan Osman Hassan has completed various training courses and workshops, including a Training Course in the Basics of Well Logging Tools covering tools such as GR, SP, Density Tools, CAL, Neutron log, Sonic log, Resistivity Log, Rw determination, and permeability, as well as IP software application in 2017. He participated in a Workshop in Petroleum Exploration and Evaluation conducted by the General Petroleum Company in 2014. Hassan also completed a Training Course in Quarries of Limestone and Shale for the Cement Industry at Titan Company, Beni-Suef city, in 2014. Additionally, he attended a Workshop on Basic Principles in Scanning Electron Microscope and Transmission Electron Microscope at the Faculty of Science, Beni-Suef University, in 2014. Hassan participated in a field trip in Sinai to study the structure, associated features, stratigraphy, mineral resources, and geomorphological features of the Suez Gulf in 2015.

Skills:

Hassan Osman Hassan is proficient in English (B2 level), Arabic (native), and Hungarian (A1 level). He has software skills in QGIS, ArcGIS, Diagrammes, Microsoft Office, Aquachem, PHREEQC, Grapher, MATLAB, Python, SPSS, Surfer, Origin, and Orange Data Mining.

Publications:

Combined inversion and statistical workflow for advanced temporal analysis of the Nile River’s long-term water level records
- Authors: Szűcs, P., Dobróka, M., Turai, E., Eid, M.H., Szabó, N.P.
- Year: 2024
Fourier Transformation and Unsupervised Learning for Extracting Hydrogeological Information from Time Series Data
- Authors: Szabó, N.P., Ilyés, C., Turai, E., Eid, M.H., Szűcs, P.
- Year: 2023
A Grey-System Theory Approach to Assess the Safety of Gas-Supply Systems
- Authors: Szpak, D., Tchórzewska-Cieślak, B., Pietrucha-Urbanik, K., Eid, M.
- Year: 2022
A case study in view of developing predictive models for water supply system management
- Authors: Pietrucha-Urbanik, K., Tchórzewska-Cieślak, B., Eid, M.
- Year: 2021
Functional safety concept to support hazard assessment and risk management in water-supply systems
- Authors: Tchórzewska-Cieślak, B., Pietrucha-Urbanik, K., Eid, M.
- Year: 2021
Water network-failure data assessment
- Authors: Pietrucha-Urbanik, K., Tchórzewska-Cieślak, B., Eid, M.
- Year: 2020
Managing the risk of failure of the water supply network using the mass service system | Zarządzanie ryzykiem awarii sieci wodociągowej z wykorzystaniem systemu masowej obsługi
- Authors: Piegdoń, I., Tchórzewska-Cieślak, B., Eid, M.
- Year: 2018
Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case
- Authors: Dundulis, G., Žutautaitė, I., Janulionis, R., Rimkevičius, S., Eid, M.
- Year: 2016
Critical infrastructure disruption scenarios analyses via simulation
- Authors: Eid, M., Rosato, V.
- Year: 2016
The challenge of critical infrastructure dependency modelling and simulation for emergency management and decision making by the civil security authorities
- Authors: Grangeat, A., Bony, A., Lapebie, E., Eid, M., Dusserre, G.
- Year: 2016

Dr. Izrarahmad l Hydrochemistry | Best Researcher Award

Published on 26/12/202327/12/2023 by Shen Awards

Dr. Izrarahmad | Hydrochemistry | Best Researcher Award

Dr. Izrarahmad Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Education

Ph.D. in Hydrogeology, Aligarh Muslim University, Aligarh, India, 2005-2008 M.Phil. in Hydrogeology, Aligarh Muslim University, Aligarh, India, 2003-2005 M.Sc. Applied Geology (Gold Medalist), Aligarh Muslim University, Aligarh, India, 2003

Professional Experience

Associate Professor, Department of Geology, AMU, Aligarh: (March 2021 – Present) Responsibilities: Teaching various geology and hydrogeology courses, leading research projects. Soil & Water Resources Specialist, Dubai Municipality, Dubai, UAE: (April 2015 – March 2021) Responsibilities: Framing groundwater policies, managing projects, conducting monitoring programs. Hydrogeological Specialist, Ar-Riyadh Development Authority, Riyadh, Saudi Arabia: (May 2014 – March 2015) Responsibilities: Expert review in hydrological assessments, groundwater level modeling.

Research Focus

Groundwater quality assessment Groundwater resource estimation Groundwater flow & solute transport modeling Hydrogeology & Environmental Geology Aquifer Storage Recovery (ASR) study Environmental Impact Assessment study

Skills

Vis. MODFLOW, Rockworks, AquaChem, Surfer, Didger, Grapher, SPSS, ArcView GIS 10.2.2, PMWIN. Groundwater flow modeling, hydrological assessment, project management.