Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

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Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

Publication Profile

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👩‍🏫 Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

🎓 Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

đź’Ľ Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023–Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012–2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014–2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

🏅 Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

🔧 Technical Skills

Dr. Radwan’s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

👩‍🏫 Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

🔬 Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 🗓️
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 🗓️
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 🗓️
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 🗓️
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 🗓️
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 🗓️

Vinod Kumar | Big Data Analytics | Best Researcher Award

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Assoc Prof Dr. Vinod Kumar | Big Data Analytics | Best Researcher Award

FLAME University, India

Author Profile

Google Scholar

🌱 Early Academic Pursuits

Assoc Prof Dr. Vinod Kumar began his academic journey with a strong foundation in Mechanical Engineering, earning a Bachelor’s degree from Haryana College of Technology & Management, Kaithal. He then transitioned into the realm of business, acquiring a Master of Business Administration (MBA) in Marketing from Chandigarh Business School. His intellectual pursuit culminated in a Ph.D. in Marketing from the prestigious Indian Institute of Technology (IIT) Roorkee. His doctoral thesis, titled “Assessing the Influence of Stakeholders on Sustainability Marketing Strategy,” focused on how various stakeholders shape the strategies for sustainable marketing.

đź’Ľ Professional Endeavors

Dr. Kumar’s professional trajectory spans over a decade in academia, with positions at renowned institutions. His current role as an Associate Professor at FLAME University in Pune, Maharashtra, marks the latest phase in a distinguished career. Prior to this, he held faculty positions at MICA, Ahmedabad, Symbiosis Institute of Business Management, and the Indian Institute of Information Technology, Lucknow, among others. Additionally, Dr. Kumar’s experience in industry as a Sales Executive and Water Treatment Specialist adds practical insight to his academic teaching. This mix of academia and industry experience enriches his approach to teaching and research.

đź“š Contributions and Research Focus

Dr. Kumar’s research primarily focuses on Brand Management, Digital Marketing, Green Marketing, Digital Business Strategy, and Social Media Marketing. His interdisciplinary approach integrates traditional marketing principles with the evolving digital landscape. Notable research projects include studying the relationship between stakeholders and sustainability strategies, and he has contributed significantly to the literature on stakeholder identification in marketing. Dr. Kumar has published papers in high-impact journals such as Management Research Review and has been honored with the Emerald Literati Network Award for Excellence in 2017 for his outstanding research.

🌍 Impact and Influence

Through his academic and professional roles, Dr. Kumar has made a substantial impact in shaping the marketing landscape. His research has not only contributed to the academic body of knowledge but has also influenced industry practices. The recognition of his work through awards like the Best Paper Award at AMRIT-2020 and Emerald Literati Network Awards for Excellence reflects his significant influence in the marketing and digital business strategy domains. Additionally, his consulting project on Digital Marketing Strategies and Tools for God’s Grace Distributions showcases his practical expertise and ability to drive business transformation.

đź“‘ Academic Cites and Recognition

Dr. Kumar’s research has garnered widespread recognition and citation in leading academic forums. His work on Sustainability Marketing and Stakeholder Analysis is widely referenced in marketing and sustainability studies. His recognition by various academic bodies, including the FIIB Business Review as a reviewer and the AIM-AMA Sheth Foundation Travel Grant, further solidifies his standing as an authority in his field.

đź’» Technical Skills

Dr. Kumar possesses advanced proficiency in digital marketing tools, UI/UX Design, Social Media Marketing, and Data Analytics. His expertise in Digital Business Strategy enables him to leverage digital platforms effectively for both academic purposes and real-world business solutions. This technical expertise is integrated into his teaching, providing students with a modern, practical learning experience that blends theory with the latest industry practices.

🎓 Teaching Experience

Dr. Kumar has held teaching positions across multiple prestigious institutions, where he has designed and taught courses on Marketing Management, Digital Marketing, Brand Management, and Sales and Distribution Management. His role as the Founding Head of the Department at IIIT Lucknow enabled him to create a dynamic curriculum and research environment for future leaders in business management. His approach to teaching combines innovative strategies, a deep understanding of digital platforms, and a focus on practical application, which has been appreciated by students and colleagues alike.

🌟 Legacy and Future Contributions

As a respected academic, Dr. Kumar has not only imparted knowledge but has also shaped the future of marketing education. His research continues to evolve, with ongoing supervision of Ph.D. students, such as Ms. Isha Sharma and Mr. Vibhav Singh. Dr. Kumar’s legacy is built upon his commitment to enhancing the relevance of marketing education in the digital age and his contribution to sustainability marketing. His future contributions are likely to have a significant impact on both academic literature and industry practices in digital business strategy, making him a thought leader to watch in the coming years.

📖 Top Noted Publications 

Evolution of Sustainability as Marketing Strategy: Beginning of New Era
    • Authors: V Kumar, Z Rahman, AA Kazmi, P Goyal
    • Journal: Procedia-Social and Behavioral Sciences
    • Year: 2012
Sustainability Marketing Strategy: An Analysis of Recent Literature
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Global Business Review
    • Year: 2013
Examining Consumer-Brand Relationships on Social Media Platforms
    • Authors: NK Jain, S Kamboj, V Kumar, Z Rahman
    • Journal: Marketing Intelligence and Planning
    • Year: 2018
Stakeholder Identification and Classification: A Sustainability Marketing Perspective
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Management Research Review
    • Year: 2016
Why Export Competitiveness Differs Within Indian Textile Industry? Determinants and Empirical Evidence
    • Authors: R Dhiman, V Kumar, S Rana
    • Journal: Review of International Business and Strategy
    • Year: 2020
Investigating the Impact of Online Service Convenience on Customer Engagement, Attitude and Intention to Use Food Delivery Apps
    • Authors: V Vandana, S Kumar, V Kumar, P Goyal
    • Journal: International Journal on Food System Dynamics
    • Year: 2023

Vahid Naghashi | Temporal Data Patterns | Best Researcher Award

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Mr. Vahid Naghashi | Temporal Data Patterns | Best Researcher Award

Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E), Canada

Author Profile

Google Scholar

Early Academic Pursuits đź“š

Mr. Vahid Naghashi is currently a Ph.D. candidate, focusing on forecasting dairy income during future lactations using deep learning models. His academic journey reflects a strong foundation in time series forecasting, machine learning, and deep learning. Throughout his academic career, he has excelled in advancing knowledge in computational models and applied artificial intelligence.

Professional Endeavors đź’Ľ

Mr. Naghashi’s career has also been shaped by professional industry experience, including an internship at a multimedia company. During his internship, he worked on projects involving Large Language Models (LLMs) and audio processing with foundation models. His exposure to real-world applications of deep learning models has broadened his expertise in both academic and industry settings.

Contributions and Research Focus 🔬

Mr. Naghashi’s research primarily focuses on time series forecasting using deep learning techniques. His major research project involves the prediction of milk profits in future lactations, an area of great relevance to the dairy industry. One of his notable contributions is the development of a multiscale model for multivariate time series forecasting, which has applications across various fields, published in Nature Scientific Reports.

Impact and Influence 🌍

The impact of Mr. Naghashi’s work extends beyond academia. His contributions to the field of deep learning for time series forecasting can significantly transform industries like dairy farming. His work in forecasting and data analytics has proven to be useful in real-world scenarios, with a growing citation index, indicating the broader influence of his research.

Academic Cites đź“‘

His work has been recognized in several prestigious journals, including his recent article published in Nature Scientific Reports, which has been widely cited. Additionally, his research article “A multiscale model for multivariate time series forecasting” is a key example of his contributions to the academic community, helping to shape future research directions in time series analysis and forecasting.

Technical Skills 🧑‍💻

Mr. Naghashi possesses extensive technical expertise in deep learning, machine learning, and time series forecasting. He has proficiency in advanced data science tools and techniques, including large-scale machine learning models, deep neural networks, and predictive analytics, which are crucial in his research and consultancy projects.

Teaching Experience 👨‍🏫

While there is no direct mention of formal teaching roles, Mr. Naghashi’s research and consultancy work undoubtedly involve mentoring and knowledge sharing within his academic collaborations and industry projects. His involvement with the Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E) demonstrates his commitment to educating others in his field.

Legacy and Future Contributions đź”®

Looking forward, Mr. Naghashi aims to further advance deep learning methodologies, particularly in forecasting applications across industries such as agriculture, healthcare, and finance. His future research goals include enhancing predictive models and working on larger-scale applications that have a lasting impact on both academic and professional communities.

Top Noted Publications đź“–

Co-occurrence of adjacent sparse local ternary patterns: A feature descriptor for texture and face image retrieval
    • Authors: V. Naghashi
    • Journal: Optik
    • Year: 2018
Evaluation of dominant and non-dominant hand movements for volleyball action modelling
    • Authors: F. Haider, F. Salim, V. Naghashi, SBY Tasdemir, I. Tengiz, K. Cengiz, …
    • Journal: Adjunct of the 2019 International Conference on Multimodal Interaction
    • Year: 2019
Volleyball action modelling for behavior analysis and interactive multi-modal feedback
    • Authors: FA Salim, F. Haider, SBY Tasdemir, V. Naghashi, I. Tengiz, K. Cengiz, …
    • Journal: eNTERFACE’19: 15th International Summer Workshop on Multimodal Interfaces
    • Year: 2020
A searching and automatic video tagging tool for events of interest during volleyball training sessions
    • Authors: F. Salim, F. Haider, SBY Tasdemir, V. Naghashi, I. Tengiz, K. Cengiz, …
    • Journal: 2019 International Conference on Multimodal Interaction
    • Year: 2019
A multiscale model for multivariate time series forecasting
    • Authors: V. Naghashi, M. Boukadoum, AB Diallo
    • Journal: Scientific Reports
    • Year: 2025

Haixia Mao | Data Science | Best Researcher Award

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Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

đź’Ľ Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

đź“š Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

đź’» Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

đź“š Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

đź“–Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

Theresa KĂĽhle | Data Analysis | Best Researcher Award

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Mrs. Theresa KĂĽhle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle at Universität Münster, Germany

👨‍🎓Professional Profile

🌟 Summary

Theresa KĂĽhle is a dedicated medical student at the University of MĂĽnster, Germany, with a strong focus on pediatric cardiology, prenatal medicine, and psychosomatic disorders. Passionate about research and clinical practice, she has presented at several medical congresses and published research in the field of fetal heart failure. As a Cusanuswerk scholarship recipient, she is committed to advancing in her medical career with international experience.

🎓 Education

Since 2019, Theresa has been studying medicine at the University of MĂĽnster, Germany. She also gained international medical experience at the Universidad de Valladolid, Spain, in 2023. Theresa completed her Abitur at Gymnasium Schloss Neuhaus, Paderborn, in 2018, with an outstanding grade of 1.0.

đź’Ľ Professional Experience

Theresa has gained extensive practical experience in hospitals and medical settings. Since 2024, she has been working as an OP student in the Department of Gynaecology and Obstetrics at St. Franziskus-Hospital in MĂĽnster. She also gained clinical experience in pediatrics, cardiology, neurology, urology, and psychosomatic medicine at the University Hospital MĂĽnster. In addition, she has been a tutor for a sonography course at her university since 2024.

đź“‘ Academic Citations

In 2024, Theresa presented posters at the 65th DGGG Congress in Berlin and the 47th Tri-Nation Meeting in Salzburg. She has also published a research paper on “Dyssynchronous fetal heart failure in maternal diabetes” with Prof. Dr. Ralf Schmitz, highlighting her active involvement in medical research.

🛠️ Technical Skills

Theresa possesses advanced skills in sonography, as evidenced by her role as a tutor in the ultrasound course at the University of MĂĽnster. She has a deep understanding of prenatal diagnostics, particularly in echocardiography and M-mode software. In addition, she is fluent in English (C1/C2), Spanish (B2.2), and French (B2), with proficiency in Latin.

👩‍🏫 Teaching Experience

Theresa has enriched her teaching portfolio by serving as a tutor for the sonography course at the University of MĂĽnster since 2024. She has also gained hands-on teaching experience in psychosomatic treatments, pediatrics, and psychotherapeutic practices during her medical training.

🔬 Research Interests

Her research focuses on pediatric cardiology, particularly congenital heart defects, and prenatal medicine, with a specific interest in fetal heart failure caused by maternal diabetes. Additionally, Theresa is passionate about psychosomatic medicine and psychological health treatments for children and adolescents.

đź“–Top Noted Publication

Dyssynchronous Fetal Heart Failure in Maternal Diabetes: Evaluation with Speckle Tracking Echocardiography and Novel M-Mode Software

Authors: Theresa M. Kühle, Angela Burgmair, Georg Schummers, Mareike Möllers, Kathrin Oelmeier, Chiara De Santis, Helen Ann Köster, Ute Möllmann, Daniela Willy, Janina Braun, et al.

Journal: Ultrasound in Medicine & Biology

Year: 2024

Rahul Pratap Singh | Data Analysis | Best Researcher Award

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Dr. Rahul Pratap Singh | Data Analysis | Best Researcher Award

Dr. Rahul Pratap Singh at Veer Bahadur Singh Purvanchal University Jaunpur, India

👨‍🎓 Profile

👤 Summary

Dr. Rahul Pratap Singh is a dedicated physicist specializing in semiconducting and magnetic nanomaterials. His research focuses on their synthesis, characterization, and industrial applications, utilizing advanced spectroscopic techniques and electron microscopy.

🎓 Education

Dr. Singh holds a PhD in Physics from Veer Bahadur Singh Purvanchal University, where he investigated semiconducting nanomaterials and their industrial applications. He completed his M.Sc. and B.Sc. in Physics & Maths at Pratap Bahadur Post Graduate College, and his schooling in Science and Mathematics at Government Inter College, Pratapgarh.

đź’Ľ Professional Experience

He has taught both undergraduate and postgraduate courses at S.V.M. Science and Technology Post Graduate College since 2016, with additional experience at B.N.S. Post Graduate College in 2017-2018.

🔧 Technical Skills

Dr. Singh is skilled in the synthesis and characterization of nanomaterials, as well as various spectroscopic techniques (IR, Raman, XRD) and electron microscopy (SEM, TEM).

🔬 Research Interests

His research interests include the synthesis and characterization of semiconducting and magnetic nanomaterials, as well as 2D materials, focusing on their potential industrial applications.

 

📖 Top Noted Publications 

Humidity sensing study of cobalt-doped cadmium sulphide nanomaterials
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala Bhardwaj, Kuwar Ankur Singh, B. C. Yadav, Prof. Santosh Kumar
    • Journal: Journal of Solid State Electrochemistry
    • Year: 2023
Synthesis and Characterization of Manganese Doped Zinc Ferrite for its Structural and Magnetic Properties
    • Authors: Avinash Chand Yadav, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Gulab Singh, Ajaz Hussain, Mukul Gupta, Aartee Sharma, Manvendra Kumar, Prof. Santosh Kumar
    • Journal: Iranian Journal of Science
    • Year: 2023
Synthesis of bismuth-doped praseodymium ortho ferrite nanomaterials for LPG sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Ajeet Singh, Bal Chandra Yadav, Manish Pratap Singh, Prof. Santosh Kumar
    • Journal: Applied Nanoscience
    • Year: 2023
Cobalt-doped praseodymium ortho ferrite as a promising nanomaterial for carbon dioxide gas sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Bala, Ajeet Singh, Bal Chandra Yadav, Prof. Santosh Kumar
    • Journal: Journal of Materials Chemistry C
    • Year: 2023
Nickel-Doped Cadmium Sulphide as a Promising Nanomaterials for Humidity Sensing Applications
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala, Kuwar Ankur Singh, B. C. Yadav, Santosh Kumar
    • Journal: Sensing and Imaging
    • Year: 2023
Synthesis of calcium doped zinc ferrite nanomaterial and its application as a humidity sensor
    • Authors: Prabhat Ranjan Tiwari, Rahul Pratap Singh, Keval Bharati, Avinash Chand Yadav, Bal Chand Yadav, Ajeet Singh, Manish Pratap Singh, Santosh Kumar
    • Journal: Journal of Dispersion Science and Technology
    • Year: 2023

Fernando LĂłpez | Healthcare Data Analysis | Excellence in Research

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Assoc Prof Dr. Fernando LĂłpez | Healthcare Data Analysis | Excellence in Research

Assoc Prof Dr. Fernando LĂłpez at Hospital Clinico Universitario – Universidad de Valencia, Spain

👨‍🎓  Profile

Early Academic Pursuits 🎓

Dr. Fernando LĂłpez began his academic journey at the Universidad de Cádiz, where he earned his Licenciatura in Medicine and Surgery from 1987 to 1993. His dedication led him to further his education through the Official Doctoral Program in Medicine and Surgery at the Universitat de València, culminating in a doctoral degree awarded with “Sobresaliente cum laude” in 2001.

Professional Endeavors 🏥

Dr. López completed his specialized training in General Surgery and Digestive System Surgery via the MIR program at the Hospital Clínico Universitario de Valencia from 1995 to 2000. He currently serves as an Associate Professor in the Department of Surgery at the Universitat de València, where he has been actively involved since 2011.

Contributions and Research Focus 🔍

Dr. LĂłpez has made significant contributions to surgical research, particularly in the context of the COVID-19 pandemic. He is a co-author of several influential articles addressing surgical risks and outcomes during this crisis, with particular emphasis on the integration of machine learning for risk prediction. His work has been published in leading journals, reflecting his commitment to advancing surgical practices.

Impact and Influence 🌍

His research has garnered considerable attention, with publications in both national and international journals totaling 35, including articles in high-impact publications such as the British Journal of Surgery. His collaborative work with the COVIDSurg Collaborative has had a meaningful impact on surgical protocols during the pandemic.

Academic Cites đź“š

Dr. LĂłpez’s research has resulted in a notable cumulative impact factor of 76.697 across his indexed publications, illustrating the significant reach and influence of his work in the academic community.

Technical Skills ⚙️

As an experienced surgeon, Dr. LĂłpez possesses a robust set of technical skills, particularly in advanced trauma and emergency care. He has been involved in teaching various advanced trauma life support courses and has contributed to international workshops, underscoring his proficiency and commitment to surgical education.

Teaching Experience 👨‍🏫

In addition to his clinical practice, Dr. LĂłpez has extensive teaching experience, having tutored 35 residents in General Surgery and Digestive Surgery. He has organized and led numerous courses and seminars, including advanced trauma support training, reflecting his passion for educating the next generation of surgeons.

Legacy and Future Contributions 🌱

Looking ahead, Dr. LĂłpez aims to continue his research in surgical safety and education, leveraging his experience and expertise to foster advancements in the field. His ongoing commitment to mentoring residents and collaborating on impactful research will undoubtedly leave a lasting legacy in the surgical community.

đź“– Top Noted Publications

 

Characteristics of gastrointestinal stromal tumors associated to other tumors, 2024

Characteristics of gastrointestinal stromal tumors associated to other tumors, 2024

Glasbey, J. C., Nepogodiev, D., COVIDSurg Collaborative. (2021). Death following pulmonary complications of surgery before and during the SARS-CoV-2 pandemic. British Journal of Surgery, 6, pp. 1-19.

LUCENTUM Project Researchers. (2021). Simplified risk-prediction for benchmarking and quality improvement in emergency general surgery: Prospective, multicenter, observational cohort study. International Journal of Surgery, 97, pp. 1-35.

Glasbey, J. C., Nepogodiev, D., COVIDSurg Collaborative. (2021). Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. British Journal of Surgery, 6, pp. 1-19.

Salahuddin Mahmud – Data Interpretation – Global Data Innovation Recognition Award 

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Assoc Prof Dr Salahuddin Mahmud - Data Interpretation - Global Data Innovation Recognition Award 

Salahuddin Mahmud - Bangladesh Shishu Hospital & Institute - Bangladesh 

Author Profile

Early Academic Pursuits

Assoc Prof DR. Salahuddin Mahmud began his academic journey with a solid foundation in science, completing his SSC in 1990 and HSC in 1992 from the Education Board, Dhaka, with a focus on the science stream. Following this, he pursued his MBBS from Dhaka University, specializing in Medicine, Surgery, and Gynecology, which he completed in 2000. His commitment to pediatric care led him to achieve an MD in Pediatrics from BSMMU in 2010.

Professional Endeavors

Over the years,  Assoc Prof Dr. Mahmud has held various significant roles at the Bangladesh Shishu Hospital & Institute (BSHI). He started as a Resident Medical Officer in Pediatric Medicine in 2004 and transitioned to the Department of Pediatric Gastroenterology, Hepatology & Nutrition by 2011. Progressing through the ranks, he has served as Assistant Professor and currently holds the position of Associate Professor in the same department.

Additionally, Assoc Prof Dr. Mahmud plays crucial supervisory and academic roles, supervising MD (Pediatrics) residency courses and co-guiding MD thesis projects, enhancing the quality of pediatric care and education in Bangladesh.

Contributions and Research Focus

Assoc Prof Dr. Mahmud's contributions to pediatric gastroenterology, hepatology, and nutrition are commendable. His participation in workshops and conferences like the 9th ISPGHAN Conference in India and the Motility Workshop in New Delhi underscores his commitment to advancing the field. His research and expertise cover areas such as pediatric GI & liver issues, metabolic liver diseases, and enteral & parenteral nutrition, focusing on improving diagnostic and treatment modalities.

Accolades and Recognition

His active involvement and expertise have garnered recognition, both nationally and internationally. He is a life member of the Bangladesh Pediatric Association and holds foreign memberships in prestigious organizations like ISPGHAN, NASPGHAN, and APPSPGHAN, highlighting his standing in the global pediatric community.

Impact and Influence

Assoc Prof Dr. Mahmud's impact extends beyond his clinical and academic roles. As an executive member of BASPGAN, he influences policy and practice in pediatric gastroenterology, hepatology, and nutrition in Bangladesh. His research and teachings shape future pediatricians, ensuring that the next generation is equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

With a rich legacy of academic achievements, professional endeavors, and contributions to pediatric care and research, Assoc Prof Dr. Salahuddin Mahmud continues to inspire and lead. His future contributions are anticipated to further advance pediatric gastroenterology and hepatology in Bangladesh and beyond. As an associate professor and respected figure in his field, he remains committed to mentoring future professionals, conducting groundbreaking research, and elevating standards of care for pediatric patients.

Notable PublicationsÂ