Chaudhuri Manoj Kumar Swain | Wireless Communications | Best Researcher Award

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

 

Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

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

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.

Publication Top Notes

SmartScanPCOS: A Feature-Driven Approach to Cutting-Edge Prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Journal: Heliyon
Published: October 2024
DOI: 10.1016/j.heliyon.2024.e39205
Contributors: G. Umaa Mahesswari; P Uma Maheswari

Mehdi Ghatee | Artificial Intelligence | Best Researcher Award

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

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.

Publication Top Notes
  • 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.

 

Ramesh G | Computer Science and Engineering | Excellence in Research |

Dr. Ramesh G |Computer Science and Engineering | Excellence in Research

Professor at Vaagdevi Engineering College, India

Dr. Ramesh G. is an accomplished academic and researcher with over 20 years of experience in the field of Computer Science and Engineering. He holds a Ph.D. from Osmania University and has a rich educational background, including a Master of Technology in Computer Science and Engineering and a Master of Science in Information Systems. Dr. Ramesh has served as an Associate Professor at Vaagdevi Engineering College and has previously held positions at Mekelle University in Ethiopia, where he contributed significantly to curriculum development for graduate programs in Cyber Security and Bioinformatics. His research interests encompass phishing webpage detection, 5G communication networks, and digital noise reduction in video processing, with several of his works published in reputable journals. He is also an active editor and reviewer for various academic journals and has published multiple utility patents. Dr. Ramesh’s contributions to academia are further highlighted by his successful acquisition of research grants and his authorship of books on IoT and machine learning.

Profile

Education

Dr. Ramesh has a Ph.D. in Computer Science and Engineering, which shows a deep level of expertise in his field. He also holds two master’s degrees, one in Computer Science and Engineering and the other in Information Systems, further solidifying his strong foundation in technology and engineering

Professional Experience

With over 20 years of teaching experience at undergraduate and postgraduate levels, and extensive experience in editorial and review roles, Dr. Ramesh has a comprehensive understanding of both academia and research.

Research Interests

Dr. Ramesh has substantial experience as an editor and reviewer for various international journals, which underscores his influence and reputation in the academic community.He has published multiple utility patents related to IoT, machine learning, and cyber security, which reflect his innovation and contribution to applied research. Additionally, securing grants from prestigious bodies like AICTE, DST, and SERB indicates his ability to attract funding for impactful research projects.

Awards and Recognition

The successful acquisition of funded grants from renowned agencies showcases his research excellence and recognition by peers and funding bodies.

Global Collaborations and Innovations

Dr. Ramesh has published several utility patents and secured multiple grants from prestigious organizations like AICTE, DST, and SERB. This indicates his ability to contribute to innovative research and secure funding for significant projects.His work as an Assistant Professor at Mekelle University in Ethiopia, including his leadership roles in curriculum development, highlights his international experience and ability to work in diverse environments.

Conclusion

Given his comprehensive education, extensive teaching and research experience, numerous patents, and significant contributions to academic journals and funded research, Dr. Ramesh G is well-qualified for recognition through a Research for Excellence award. His work in fields such as IoT, machine learning, and cyber security aligns with current technological advancements, further solidifying his candidacy.

Publications Top Notes

Title: An efficacious method for detecting phishing webpages through target domain identification
Authors: G. Ramesh, I. Krishnamurthi, K.S.S. Kumar
Journal: Decision Support Systems
Citations: 156
Year of Publication: 2014

Title: Eliminate the interference in 5G ultra-wideband communication antennas in cloud computing networks
Authors: G. Ramesh, J. Logeshwaran, V. Aravindarajan, F. Thachil
Journal: ICTACT Journal on Microelectronics
Citations: 134
Year of Publication: 2022

Title: The management and reduction of digital noise in video image processing by using transmission-based noise elimination scheme
Authors: G. Ramesh, J. Logeshwaran, J. Gowri, A. Mathew
Journal: ICTACT Journal on Image & Video Processing
Citations: 120
Year of Publication: 2022

Title: A ranking model framework for multiple vertical search domains
Authors: S.B. Sriramoju, R. Gadde
Journal: International Journal of Research and Applications
Citations: 36
Year of Publication: 2014

Title: An overview of classification rule and association rule mining
Authors: S.B.S. B. Srinivas, Gadde Ramesh
Journal: International Journal of Scientific Research in Computer Science
Citations: 19
Year of Publication: 2018

Jad Jaber | Technostress | Best Researcher Award

Dr. Jad Jaber | Technostress | Best Researcher Award

Professor at Technostress, Lebanese American University, Lebanon

Jad Jaber is an accomplished professional with a strong background in academia and leadership. Their educational journey includes a Ph.D. in Management from ESC Rennes School of Business, France, where they graduated with a Grade A. They also hold a Master’s in Management from Bradford University School of Management, United Kingdom, with a Grade of Distinction. Jad’s career highlights include serving as a Professor at various prestigious universities, including the Lebanese American University, American University of Beirut, Beirut Arab University, and ESC Rennes School of Business. They have also worked as a Consultant to the President of Casino Du Liban, leading projects to renew the casino’s license and working on major Deloitte projects. Throughout their career, Jad has received several awards and recognitions, including Manager of the Year at Global Finance 4 Investment Co., Best Student Award at ESC Rennes School of Business, and the President’s Award at Casino Du Liban. Jad is known for their exceptional skills in adaptability, leadership, communication, teaching, curriculum development, research, student mentorship, technology integration, and critical thinking. Their contributions to academia and the professional world have made them a respected figure in their field.

Professional Profiles:

Experience:

“Professor at the Lebanese American University since January 2020, teaching Management Theory and Strategic Management to MBA and Senior students. Concurrently, a Professor at the American University of Beirut since January 2020, focusing on teaching Strategic Management to Senior students. Additionally, serving as a Professor at Beirut Arab University since January 2020, specializing in teaching Introduction to Management and Human Resource Management to PhD students. Previously, as a Professor at ESC Rennes School of Business from January 2019 to December 2019, taught Leadership Management, Introduction to Marketing, Introduction to Management, and Fundamentals of Management 2 to Masters students. Also, served as a Consultant to the President at Casino Du Liban from June 2019 to June 2020, leading the project to renew the casino’s license with the government and collaborating on major Deloitte Projects, including feasibility studies and financial and economical projects with the Lebanese prime minister to facilitate obtaining the governmental license.”

Education:

Jad Jaber pursued a Ph.D. in Management at ESC Rennes School of Business, France, from January 2016 to January 2020, achieving a Grade A. He also completed a Masters in Management at Bradford University School of Management, United Kingdom, from January 2013 to June 2018, with a Grade of Distinction. In terms of internships, Jad Jaber worked as an intern at the United Nations Development Program in Beirut from January 2006 to December 2006. During this time, he served as an English writer, demonstrating expertise in IT, and contributed to impactful projects that combined language proficiency with technical knowledge.

Award & Recognitions:

Jad Jaber has been recognized with several prestigious awards, including Manager of the Year at Global Finance 4 Investment Co. for their outstanding leadership and performance. They also received the Best Student Award from ESC Rennes School of Business, acknowledging their academic excellence and dedication. Additionally, Jad was honored with the President’s Award from Casino Du Liban for their exceptional contributions and achievements.

Skills:

Jad Jaber possesses a diverse set of skills essential for academia and professional growth. Their adaptability allows them to navigate various challenges and environments effectively. Their strong leadership skills enable them to inspire and guide others towards success. With excellent communication skills, they can convey complex ideas clearly and concisely. Jad’s teaching excellence is evident in their ability to engage students and facilitate meaningful learning experiences. They excel in curriculum development, ensuring that educational programs are relevant and impactful. Their research and publications demonstrate their expertise in their field, contributing valuable insights to the academic community. Jad is also a dedicated student mentor, providing guidance and support to help students achieve their goals. Their proficiency in technology integration enhances teaching and learning processes. With a focus on critical thinking, Jad approaches problems analytically and innovatively.

 

 

Prof Dr. Ze Sun | Energy Banking | Best Researcher Award

Prof Dr. Ze Sun | Energy Banking | Best Researcher Award

Vice Dean at Energy Banking, East China University of Science and Technology, China

Dr. Ze Sun is a Professor and Ph.D. Supervisor at East China University of Science and Technology. He serves as the Vice Dean of the School of Resources and Environmental Engineering. Dr. Sun has a strong academic background and extensive experience in the field. His research interests include environmental engineering and sustainable development. Dr. Sun is highly respected in his field and has made significant contributions to academia and research. He is committed to advancing knowledge and training the next generation of scholars in the field of environmental engineering.

Professional Profiles:

Education:

Prof. Dr. Ze Sun completed his Bachelor’s Degree in Environmental Engineering at East China University of Science and Technology from September 2000 to June 2004. He then pursued his Ph.D. in Chemical Engineering at the same university from September 2004 to June 2009.

Work Experience:

Prof. Dr. Ze Sun has a diverse and extensive work experience in the field of Resources and Environmental Engineering. Since September 2012, he has been serving as an Associate Professor, Professor, and Master’s and Ph.D. Supervisor at the School of Resources and Environmental Engineering. He has also taken on additional responsibilities as the Vice Dean of the School since January 2022. Prior to this, from June 2009 to August 2012, he worked as a Lecturer at the same institution. Dr. Sun has also gained valuable industry experience, serving as the Deputy Director of Research and Development Center at Qinghai Salt Lake Industry Co., Ltd. from December 2016 to December 2017. Additionally, he has engaged in international cooperation and exchange programs, spending time at the University of Birmingham, the University of Nottingham, and others from February 2016 to March 2016. Furthermore, he has contributed to research and academia as a Visiting Scholar at the University of Leeds, UK, from November 2012 to November 2013. With an H-Index of 17, Dr. Sun has made significant contributions to the field through his research. He has published over 90 research papers in renowned journals, including AIChE Journal, Chem. Eng. Sci., Chem. Eng. J., Ind. Eng. Chem. Res., Renew. Energy, Solar Energy, Energy Tech., J. Therm. Sci., and J. Phys. Chem. B. Notably, 60 of these papers are indexed in SCI, highlighting the impact and quality of his work.

Academic Engagement:

In his academic engagements, Prof. Dr. Ze Sun holds several key roles that demonstrate his commitment to advancing knowledge and research in his field. He serves as the Young Associate Editor for the Journal of Salt Lakes Research, contributing to the publication and dissemination of research findings in the field of salt lakes. Additionally, he holds the position of Deputy Secretary-General for the Inorganic Salt Association Energy Storage Committee, where he plays a crucial role in advancing research and development in energy storage technologies involving inorganic salts. Furthermore, Dr. Sun is an active member of the Chinese Nonferrous Metal Society, specifically serving on the Molten Salt Chemistry and Technology Committee. Through these roles, he actively contributes to the advancement of academic research and collaboration in his field.

Award & Honors:

Prof. Dr. Ze Sun has been recognized with several prestigious awards and honors for his outstanding contributions to the field of environmental engineering and chemical engineering. He has received the National Science and Technology Progress Award, Second Class, in recognition of his significant contributions to advancing science and technology in China. Additionally, he has been honored with the China Nonferrous Metal Industry Association Science and Technology Award, First Class, for his innovative research and development in the nonferrous metal industry. Dr. Sun has also been awarded the Shanghai Science and Technology Progress Award, First Class, and the Shanghai Technical Invention Award, Third Class, further highlighting his exceptional achievements and contributions to the field.

Publications:

  1. Acceleration of thermal decomposition of molten nitrates by Cr in steel and promotion of this effect by halogens
    • Authors: Sun, Z.; Luo, Y.; Song, P.; Gao, X.
    • Year: 2023
    • Citations: 3
  2. Granulation of alkaline metal nitrate promoted MgO adsorbents and the low-concentration CO2 capture performance in the fixed bed adsorber
    • Authors: Cai, Y.; Liu, W.; Sun, Z.; Yang, Y.; Li, P.
    • Year: 2022
    • Citations: 11
  3. DFT-based study on the molecular interaction of hydrochloric acid with different extractants
    • Authors: Cao, R.; Tang, P.; Yang, X.; Sun, Z.
    • Year: 2022
    • Citations: 3
  4. Study on hydraulics of pulsed extraction separation device for nitric acid/hydrochloric acid in chloride salt system | 氯盐体系硝酸/盐酸脉冲萃取分离装置水力学研究
    • Authors: Pan, B.; Sun, Z.; Ma, Z.; Dong, C.; Song, X.
    • Year: 2022
    • Citations: 0
  5. Viscosities and Densities of Mixed Aqueous Alkali Metal Nitrate Solutions at T = (293.15-333.15) K
    • Authors: Yao, D.; Tang, P.; Song, P.; Sun, Z.
    • Year: 2022
    • Citations: 2
  6. Extraction kinetics of nitric acid from the nitric acid-hydrochloric acid-potassium chloride solution by tributyl phosphate
    • Authors: Su, L.; Pan, B.; Sun, Z.; Song, P.; Song, X.
    • Year: 2021
    • Citations: 4
  7. Influences of impurity Cl− on the thermal performance of solar salt for thermal energy storage
    • Authors: Sun, Z.; Su, L.; Gao, X.; Song, X.; Yu, J.
    • Year: 2021
    • Citations: 6
  8. Selective Separation of HNO3and HCl by Extraction: The Investigation on the Noncovalent Interaction between Extractants and Acids by Density Functional Theory
    • Authors: Sun, Z.; Su, L.; Yao, D.; Yang, X.; Song, X.
    • Year: 2021
    • Citations: 6
  9. Mechanism of Extracting and Separating Fluoride in Phosphoric Acid by TBP System | 磷酸三丁酯体系萃取分离磷酸中氟化物机理
    • Authors: Xu, H.; Sun, Z.; Yu, J.
    • Year: 2020
    • Citations: 1
  10. Study on preparation of molten salt grade potassium nitrate by reactive extraction method | 反应萃取法制备熔盐级硝酸钾工艺探讨
    • Authors: Su, L.; Zhang, H.; Wang, J.; Song, X.; Yu, J.
    • Year: 2020
    • Citations: 0

Mr. Vahid Mohamad Taghvaee | Sustainable Development | Best Research Award

Mr. Vahid Mohamad Taghvaee | Sustainable Development | Best Research Award

Economist at Sustainable Development, University of Greifswald, Germany

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Vahid Mohamad Taghvaee is a Visiting Scholar at the Chair of Economic Growth, Structural Change, and Trade at the University of Greifswald in Germany since 2023. He completed his Ph.D. in Economics with a focus on Health Economics at Tarbiat Modares University in Tehran, Iran, from 2017 to 2023 under the guidance of Professor Dr. Susanne Soretz. His thesis titled “Systemic analysis of sustainable development: using social, environment, and economy” delved into the intersection of sustainable development across social, environmental, and economic domains. Prior to his Ph.D., he earned a Master of Science in Economics with a concentration in Energy Economics from Persian Gulf University in Iran (2013-2016), where he analyzed the relationship between economic growth, energy consumption, international trade, and environmental pollution. He also holds another Master of Science in Economics in Economic Development and Planning from Azad University of Shiraz (2009-2013), where his dissertation focused on the relationship between economic growth and environmental pollution in Iran, specifically in the domains of land, water, and air. Mr. Taghvaee earned his Bachelor of Science in Economics with a specialization in Business Economics from the University of Sistan and Baluchistan in Iran (2002-2007), and an Associate of Science in Customs Affairs from Azad University of Bushehr, Iran (1999-2001).

Vahid Mohamad Taghvaee ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 976, Since 2018: 928
  • Citations: 976 (All), 928 (Since 2018)
  • h-index:  20 (All), 19 (Since 2018)
  • i-10index: 26 (All), 24 (Since 2018

These metrics showcase the impact of Taghvaee ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Professional Position:

Mr. Vahid Mohamad Taghvaee is currently serving as a Visiting Scholar at the University of Greifswald in Germany since 2023. Prior to this role, from 2020 to 2023, he worked as an Editor at EditSprings Company in China. With a career spanning over a decade, Mr. Taghvaee has also held the position of Researcher at Iran Customs in Tehran, Iran, from 2007 to 2023. His diverse professional background reflects his expertise in academia, editorial work, and research in various international settings.

Skill & Expertise:

Mr. Vahid Mohamad Taghvaee possesses a comprehensive skill set in software tools such as Stata, EViews, Photoshop, and Microsoft Office (Word, Excel, PowerPoint). He is fluent in English, has an intermediate proficiency in German (B1), and is a native Persian speaker. His teaching experience includes serving as a Guest Lecturer at the University of Greifswald, Germany, in 2023, where he taught a course on “Sustainable development: challenges & solutions.” Additionally, he worked as a Teaching Assistant and co-lecturer at Tarbiat Modares University, Tehran, Iran, in 2022, where he contributed to the course “Sustainable Development Goals of the UN.” Furthermore, Mr. Taghvaee has demonstrated his expertise by serving as an Ad Hoc reviewer for grant research at the European Science Foundation (ESF).

Reviewer & References:

Mr. Vahid Mohamad Taghvaee has a strong track record as a reviewer for prestigious journals, including Nature Communications and Scientific Reports (both from Nature), Energy, Journal of Cleaner Production, and Resources Policy. His expertise is further evidenced by his references, which include Dr. Susanne Soretz, a Professor at the University of Greifswald in Germany, Dr. Moosa Tatar, an Assistant Professor at the University of Houston in the USA, and Dr. Behnaz Saboori, an Assistant Professor at Sultan Qaboos University in Oman. Additionally, he has authored several publications, including books and chapters in books, covering topics such as the submission process for international journals, the SAFE Framework of Standards to Secure and Facilitate Global Trade, and Capacity-Building in Customs. Two of his chapters, “Sustainability and sustainable development concepts: Defining the perspectives and pillars” (co-authored with Susanne Soretz) and “Framework for the standards to secure and facilitate global trade (SAFE): Trade facilitation versus trade security,” have been published in the Reference Module in Social Sciences by Elsevier in 2023.

Publications:

Nasrollahi, Z., Hashemi, M., Bameri, S., & Taghvaee, V. M. (2020). “Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model.” Environment, Development and Sustainability, 22, 1105-1122. 📚197

Nodehi, M., & Taghvaee, V. M. (2022). “Alkali-activated materials and geopolymer: A review of common precursors and activators addressing circular economy.” Circular Economy and Sustainability, 2(1), 165-196. 📚106

Nodehi, M., & Taghvaee, V. M. (2022). “Sustainable concrete for circular economy: a review on use of waste glass.” Glass Structures & Engineering, 7(1), 3-22. 📚63

Vahid Mohamad Taghvaee, H. A. R., Arani, A. A., Nodehi, M., & Mohebi, M. (2021). “Sustainable development goals: transportation, health and public policy.” Review of Economics & Political Science. 📚37*

Taghvaee, V. M., Mavuka, C., & Shirazi, J. K. (2016). “Economic growth and energy consumption in Iran: an ARDL approach including renewable and non-renewable energies.” Environment, Development and Sustainability, 1-16. 📚36

Nodehi, M., & Taghvaee, V. M. (2022). “Applying circular economy to construction industry through use of waste materials: a review of supplementary cementitious materials, plastics, and ceramics.” Circular Economy and Sustainability, 1-34. 📚34

Taghavee, V. M., Aloo, A. S., & Shirazi, J. K. (2015). “Energy, Environment, and Economy Interactions in Iran with Cointegrated and ECM Simultaneous Model.” Procedia Economics and Finance, 36, 414-424. 📚33

Taghvaee, V. M., Nodehi, M., Saber, M., & Mohebi, R. (2022). “Sustainable development goals and transportation modes: Analyzing sustainability pillars of environment, health, and economy.” World Development Sustainability, 1. 📚32*

Taghvaee, V. M., & Hajiani, P. (2014). “Price and income elasticities of gasoline demand in Iran: using static, ECM, and dynamic models in short, intermediate, and long run.” Modern Economy, 5(09), 939. 📚32

Taghvaee, V. M., Nodehi, M., & Saboori, B. (2022). “Economic complexity and CO2 emissions in OECD countries: sector-wise Environmental Kuznets Curve hypothesis.” Environmental Science and Pollution Research, 29(53), 80860-80870. 📚31

 

 

Dr. Mihaela Tanase-Opedal | Chemical Engineering | Best Researcher Award

Dr. Mihaela Tanase-Opedal | Chemical Engineering | Best Researcher Award

Senior Researcher at Chemical Engineering, RISE PFI AS, Norway

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Mihaela Tanase-Opedal completed her Ph.D. in 2011 with a dissertation titled “Extractives in process water from compressive pre-treatment of chips in mechanical pulping” at the Department of Chemical Engineering, Faculty of Natural Science and Technology (NTNU) in Norway. Her disputation date was on 30.03.2011. Prior to this, in 2006, she pursued a study on “Methods of consolidation, conservation, and restoration of documents on paper support” at the Faculty of Chemical Engineering and Environmental Protection, “Gh. Asachi” Technical University Iasi, Romania.

Position:

Dr. Mihaela Tanase-Opedal has held various positions in research and science. Since 2020, she has been working as a Senior Research Scientist at RISE PFI in Trondheim, Norway. Prior to this role, she worked at the same institution as a Research Scientist from 2011 to 2020. Additionally, in June 2008, she took on a summer job at Norske Skog Saugbrugs Halden in Norway, where she was involved in a project focusing on mechanical bleaching.

Experience:

From 2021 to 2024, she served as the Work Package (WP) leader for the project titled “Green wax inhibitors and production chemicals based on lignin (LignoWax),” funded by the Research Council of Norway. In the same period (2021-2023), she took on the role of Project Leader for a preliminary study focused on the optimal recovery of chemicals from process water. This project was owned by Rygene Smith&Thommesen AS and received funding from Innovation Norway. In another project from 2021 to 2022, she led a WP for the project “Bærekraftig fiskefôr fra norsk skogbasert biomasse (FôrNor),” which was an IPN project (321588). In this project, she was both the Project Leader and the project owner, representing Synergifabrikken AS. RISE PFI participated in this project as a partner and was also a WP leader. Continuing her active involvement, from 2020 to 2024, Dr. Mihaela Tanase-Opedal acted as the WP leader for the project “Produksjon av Arbacore pellets and fôrprotein fra trevirke (ArbaFeed),” which was another IPN project (ES656466). In this project, she served as both the Project Leader and the project owner for Arbaflame, with RISE PFI participating as a partner and WP leader. In 2020-2022, she led the “FISK” project, part of the EU Project-Interreg Sverige-Norge.

 

Assoc Prof Dr. Phan Van Hung | Science | Best Researcher Award

Assoc Prof Dr. Phan Van: Leading Researcher in Science

Head of Department at Science , Vietnam Maritime University, Vietnam

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

He academic journey has been defined by a profound dedication to the field of Maritime Education and Transportation Systems. Currently, He serve as a Professor at Vietnam Maritime University in Haiphong, Vietnam, a role He have held since August 2018. Prior to this, He pursued Ph.D. in Maritime Transportation System Education at Mokpo National Maritime University in Mokpo, Jeollanam-do, South Korea, from August 2015 to August 2018. Here, he delved deep into the complexities of maritime transportation systems, enriching my understanding of this critical area. He educational pursuit began with a Master’s degree in the Faculty of Navigation at Vietnam Maritime University, where I honed He foundational knowledge from August 2010 to June 2013. These academic endeavors have not only equipped me with the expertise to navigate the intricate waters of maritime education but have also instilled in a passion to continue pushing the boundaries of knowledge in this vital field. 🌊📚

Phan Van Hung ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 47, Since 2018: 46
  • Citations: 47 (All), 46 (Since 2018)
  • h-index: 4 (All), 4 (Since 2018)
  • i10-index: 1 (All), 1 (Since 2018)

These metrics showcase the impact of Van Hung ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Employment:

Since March 2010, I have had the privilege of contributing to the academic landscape as a member of the faculty at Vietnam Maritime University in Haiphong, Vietnam. In this role within the Faculty of Navigation, I have been dedicated to imparting knowledge and fostering the development of future professionals in the maritime industry. My tenure at Vietnam Maritime University has been marked by a commitment to excellence in education, where I have strived to cultivate a rich learning environment that nurtures both academic growth and practical skills. This journey has allowed me to engage with students, colleagues, and the maritime community, enriching my understanding of the field while also contributing to its advancement. Each day presents new opportunities to inspire and be inspired by the maritime leaders of tomorrow, and I look forward to continuing this journey of knowledge and discovery. 🌊📚

Research Achievements:

In a bid to safeguard marine ecosystems from the threats posed by biological organisms transported via ballast water, the International Maritime Organization established the International Convention on the Control and Management of Ballast Water and Ship Sediments in 2004. This convention has spurred significant research and development efforts, with UV radiation emerging as a promising method due to its effectiveness and alignment with convention requirements. However, the large capacity of UV reactors in ballast water treatment systems often necessitates multiple high-power UV lamps, leading to substantial energy consumption and costs. To address these challenges, this study focuses on the development of a controller for UV reactors in ship-based ballast water treatment systems. The aim is to optimize UV radiation control, thereby extending the lifespan of UV lamps, reducing energy consumption, and ensuring effective disinfection. Experimental findings from ship-based trials demonstrate the efficacy of the developed UV controller, highlighting its potential to enhance the efficiency and sustainability of ballast water treatment systems. 🚢🔬

Publications:

An analysis of available solutions for commercial vessels to comply with IMO strategy on low sulphur

  • Published in Energy in 2020 with 14 citations.

Distribution of oil spill response capability through considering probable incident, environmental sensitivity and geographical weather in Vietnamese waters

  • Published in Energy in 2018 with 6 citations.

Cooperative response to marine hazardous and noxious substances and oil spill incidents in the ASEAN region

  • Published in Energy in 2019 with 5 citations.

Negative refractive index-shaped lens antenna with straight line condition for wide angle beam scanning

  • Published in Energy in 2022 with 4 citations.

Caustics and beam steering calculations of negative refractive index lens antenna by the ray tracing method

  • Published in Energy in 2020 with 4 citations.

Sea navigation-based Thai Canal implication: an analysis of its effect on the Vietnamese maritime industry

  • Published in Energy in 2020 with 4 citations.

 

 

Dr. Saritha Chandran A | nanomaterials

Dr. Saritha Chandran A: Leading Researcher in nanomaterials  

Assistant Professor at Pharmaceutical Chemistry, St Teresas College Autonomous Ernakulam, India

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:
The user holds a Ph.D. in Materials Science from the Faculty of Technology, Department of Polymer Science and Rubber Technology at Cochin University of Science and Technology, Kochi, which was conferred in March 2009. The title of their thesis was “Polyaniline Coated Short Nylon Fiber/Elastomer Composites: Electrical and Microwave Characteristics.” This thesis is available online at Shodhganga (http://hdl.handle.net/10603/1408) and CUSAT dyuthi (http://dyuthi.cusat.ac.in/xmlui/handle/purl/1965), with Prof. (Dr.) Sunil K. Narayanankutty as their research guide.

In addition to their Ph.D., they have a B.Ed. in Physical Science (68.1%) from University College of Teacher Education, Tripunithura, Mahatma Gandhi University, Kottayam, awarded in March 2003; an M.Sc. in Chemistry (67.4%) from Sacred Heart College, Thevara, Ernakulam, Mahatma Gandhi University, Kottayam, awarded in March 2002; a B.Sc. in Chemistry (78.3%) from St. Teresa’s College, Ernakulam, Mahatma Gandhi University, Kottayam, awarded in March 2000; a Pre-Degree (75.2%) from Alphonsa College, Pala, Mahatma Gandhi University, Kottayam, awarded in March 1997; and an S.S.L.C (86.5%) from St. Mary’s Girls Higher Secondary School, Pala, State Board of Public Examinations, awarded in March 1995.

Technical Qualifications:

  • MS Office: Lakhotia Computer Centre; July 2002
  • Typewriting English (Higher): Board of Technical Examinations, Government of Kerala; July 1999, with a typing speed of 40 words/min.
  • Typewriting English (Lower): Board of Technical Examinations, Government of Kerala; August 1998
  • Typewriting Malayalam (Lower): Board of Technical Examinations, Government of Kerala; August 1998
  • Diploma in Computer Programming in Basic Language (3 months): Centre for Applied Research in Electronics, Thiruvananthapuram; July 1995

Teaching experience:

  • Assistant Professor at the Department of Chemistry, St. Teresa’s College, Ernakulam, Kerala, from 14th January 2010 onwards, handling classes for B.Sc and M.Sc Chemistry students.
  • Lecturer in Chemistry at MET’S School of Engineering, Mala, Thrissur, Kerala, from 12th August 2009 to 13th January 2010 (5 months and 1 day), teaching Engineering Chemistry classes for B.Tech students.
  • Guest Lecturer at the Dept. of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Kerala, from 3rd July 2009 to 11th August 2009 (1 month and 8 days), teaching Chemistry and Polymer Science classes for B.Tech Polymer Science and Rubber Technology students.
  • Lecturer in Chemistry on contract at College of Engineering and Management, Punnapra, Kerala, from 15th September 2008 to 30th April 2009 (7 months and 15 days), teaching Engineering Chemistry classes for B.Tech students.
  • Guest Lecturer at the Department of Chemistry, Sacred Heart College, Thevara, Ernakulam, Kerala, from 12th January 2004 to 31st March 2004 (2 months and 19 days), teaching classes for M.Sc and B.Sc Chemistry students.

Saritha Chandran A ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 98, Since 2018: 29
  • Citations: 98 (All), 29 (Since 2018)
  • h-index: 5 (All), 3 (Since 2018)
  • i10-index: 3 (All), 1 (Since 2018)

Publications:

1.An elastomeric conducting composite based on polyaniline coated nylon fiber and chloroprene rubber

  • Published in Energy in 2008 with 48 citations.

2.Polyaniline coated short nylon fiber/natural rubber conducting composite

  • Published in Energy in 2008 with 22 citations.

3.Microwave characteristics of polyaniline based short fiber reinforced chloroprene rubber composites

  • Published in Energy in 2011 with 10 citations.

4.Preparation and characterization of conducting nylon 6 fibers

  • Published in Energy in 2009 with 8 citations.

5.Dielectric behavior of polyaniline/polyvinyl chloride/nylon fiber composites at microwave frequencies

  • Published in Energy in 2008 with 6 citations.