Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

Assoc. Prof. Dr. Junguo Shi, Jiangsu University, China

Assoc. Prof. Dr. Junguo Shi is a leading scholar in Industrial Economics and Innovation Studies, specializing in technological advancement, industrial dynamics, and latecomer economic development. He earned his Ph.D. in Economics from Northeastern University, China, and Eindhoven University of Technology, the Netherlands. Currently, he serves as an Associate Professor and Ph.D. Supervisor at Jiangsu University. His research explores disruptive innovation, technological networks, and patent analysis, significantly contributing to the field of economic development and industry transformation. With an extensive academic and research background, Dr. Shi has made substantial contributions to emerging economies and industrial evolution.

Professional Profile:

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πŸ† Suitability for Best Researcher Award

Assoc. Prof. Dr. Junguo Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to industrial economics and innovation research. His work on disruptive innovation and industrial evolution has significantly shaped the understanding of technological advancement and latecomer economies. His strong publication record, interdisciplinary expertise, and international collaborations with scholars from China, the Netherlands, and Korea highlight his research excellence. With experience in economic modeling, patent analysis, and industrial transformation, Dr. Shi has developed influential theories that impact both academia and industry, making him highly deserving of this prestigious recognition.

πŸŽ“ Education 

Dr. Junguo Shi’s academic journey spans multiple prestigious institutions. He earned his Ph.D. in Economics (2013-2017) from Northeastern University, China, and Eindhoven University of Technology, the Netherlands, specializing in Disruptive Innovation and Industrial Evolution. His dissertation, supervised by Prof. Peili Yu, Guangsheng Sun, Bert Sadowski, and Γ–nder Nomaler, focused on endogenous preference in industrial transformation. Prior to his Ph.D., he obtained a Master’s in Economics (2011-2013) from Northeastern University, where he explored entrepreneurial behavior in pyramid-distributed markets. His academic background combines economic theory, industrial analysis, and technological innovation, positioning him as a leader in his field.

🏒 Work Experience 

Dr. Junguo Shi has an extensive academic career in industrial economics and technological innovation. He is currently an Associate Professor and Ph.D. Supervisor at Jiangsu University, China (2022–present), where he mentors doctoral students and conducts groundbreaking research. Previously, he served as an Assistant Professor (2017–2022) at the same institution. From 2019 to 2021, he was a Postdoctoral Researcher at Seoul National University, Korea, under the supervision of Prof. Keun Lee, focusing on emerging economies and innovation systems. His professional experience integrates theoretical economics, agent-based simulations, and policy-oriented research in global industrial transformation.

πŸ… Awards and Honors 

Dr. Junguo Shi has received multiple accolades for his exceptional contributions to industrial economics and innovation research. His research has been recognized at top international conferences and journals, earning him Best Paper Awards and invitations to prestigious research collaborations. He has been a recipient of competitive research grants supporting his work in technological innovation and economic development. His contributions to policy analysis and industrial transformation have also earned recognition from academic institutions and government bodies. With a strong track record of academic excellence and impactful research, Dr. Shi continues to be a leading figure in innovation economics.

πŸ”¬ Research Focus 

Dr. Junguo Shi’s research primarily revolves around disruptive innovation, industrial dynamics, and latecomer economic development. His work follows the Neo-Schumpeterian tradition, exploring how emerging economies catch up with technological leaders. He employs agent-based simulations, patent analysis, and technological network modeling to study innovation diffusion and industrial transformation. His research has provided valuable insights into China’s economic growth, examining the role of government policies, firm behavior, and technological trajectories in shaping industrial evolution. Additionally, he investigates entrepreneurial incentives in markets with hierarchical structures, contributing to a deeper understanding of how firms adapt to disruptive technologies. His interdisciplinary approach combines economics, computational modeling, and empirical analysis, making significant contributions to policy-making and industrial strategy. By bridging theoretical frameworks with practical applications, Dr. Shi’s research enhances global discussions on technology-driven economic development.

πŸ“š Publication Top Notes:

  • Title: The Determinant Factors of Business to Business (B2B) E-Commerce Adoption in Small and Medium-Sized Manufacturing Enterprises
    • Year: 2020
    • Citations: 124
  • Title: Exploring the Optical Impact of Information Communication Technology and Economic Growth on COβ‚‚ Emission in BRICS Countries
    • Year: 2023
    • Citations: 44
  • Title: Joint Effects of Ownership and Competition on the Relationship between Innovation and Productivity: Application of the CDM Model to the Chinese Manufacturing Sector
    • Year: 2020
    • Citations: 38
  • Title: Investigating the Impact of Export Product Diversification on Environmental Degradation: Evidence from Chinese Provinces
    • Year: 2023
    • Citations: 31
  • Title: The Role of Economic Growth and Governance on Mineral Rents in Main Critical Minerals Countries
    • Year: 2023
    • Citations: 30

 

Dr. Asem Tahtamouni | Network Management | Best Researcher Award

Dr. Asem Tahtamouni | Network Management | Best Researcher Award

Dr. Asem Tahtamouni, American University of Madaba, Jordan

Dr. Asem Tahtamouni is an esteemed academic and researcher specializing in financial risk management, banking, and governance. He holds a Ph.D. in Financial Risk Management/Bank Governance from Western Sydney University, where his thesis explored the role of board committees in monitoring the performance of Jordanian listed banks. Dr. Tahtamouni has a strong background in accounting and finance, with a Master of Commerce (Accounting) and a Graduate Certificate in Research Studies from Western Sydney University. He currently serves as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan. Dr. Tahtamouni is also an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute, USA. His work focuses on financial risk management, banking governance, and network management, contributing significantly to academic research and the development of the finance sector. πŸ“šπŸ’ΌπŸŒ

Professional Profile

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Suitability for Award 

Dr. Asem Tahtamouni is highly suitable for the Research for Best Researcher Award due to his extensive academic and professional background in financial risk management, banking governance, and network management. His research contributions, particularly his Ph.D. thesis on the role of board committees in Jordanian banks, have made significant strides in understanding financial governance and risk monitoring in emerging economies. Dr. Tahtamouni’s leadership roles at the American University of Madaba, including heading multiple departments, demonstrate his ability to influence and advance academic programs. His involvement in international workshops and conferences further highlights his commitment to fostering global discussions on financial management and risk. Dr. Tahtamouni’s research and teaching have had a lasting impact on both academic and industry practices in finance, making him a deserving candidate for this prestigious award. πŸ†πŸ“ŠπŸŒ

Education 

Dr. Asem Tahtamouni’s academic journey reflects his deep commitment to the fields of financial risk management and banking governance. He completed his Ph.D. in Financial Risk Management/Bank Governance at Western Sydney University in 2015, where his research focused on the role of board committees in monitoring the performance of Jordanian listed banks. Prior to this, Dr. Tahtamouni earned a Graduate Certificate in Research Studies from the same institution in 2010, further honing his research skills. He also holds a Master of Commerce (Accounting) from Western Sydney University, which laid the foundation for his expertise in finance and accounting. Dr. Tahtamouni’s solid academic qualifications, combined with his research-driven approach, have enabled him to make valuable contributions to the fields of finance, banking, and risk management, positioning him as a leader in his field. πŸŽ“πŸ“šπŸ’‘

Experience 

Dr. Asem Tahtamouni has accumulated over a decade of experience in academia, finance, and teaching. He is currently serving as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan, where he has made significant contributions to the development of finance programs. Dr. Tahtamouni has also held leadership roles at AUM, including Head of the Banking and Finance Department and Head of the Accounting Department. His career in academia has been complemented by his experience as an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute in the USA. Prior to his academic career, Dr. Tahtamouni worked in sales and marketing at Worktek Pty Ltd in Australia, where he gained valuable industry insights. His diverse experience in both academia and industry enables him to provide a unique perspective on financial risk management and governance. πŸ«πŸ’ΌπŸ“ˆ

Awards and Honors 

Dr. Asem Tahtamouni has received several accolades for his contributions to the fields of finance, banking, and risk management. His research on financial governance and risk management in Jordanian banks has garnered attention and recognition from both academic and professional communities. Dr. Tahtamouni’s leadership roles at the American University of Madaba, where he heads multiple departments, reflect his commitment to advancing higher education in the finance and accounting sectors. Additionally, his participation in prestigious conferences and workshops, such as the Tenth Economic Conference on Digital Economy and Digital Technology and the Higher Diploma in Taxation Workshop, further showcases his dedication to continuous learning and sharing knowledge. Dr. Tahtamouni’s awards and honors highlight his excellence in research, teaching, and leadership, solidifying his reputation as a leading figure in financial risk management and banking governance. πŸ…πŸŒŸπŸŽ–οΈ

Research Focus 

Dr. Asem Tahtamouni’s research focuses on financial risk management, banking governance, and network management. His work explores how financial institutions can effectively manage risk and ensure robust governance structures, particularly in emerging economies. His Ph.D. thesis, which examined the role of board committees in monitoring the performance of Jordanian listed banks, remains a cornerstone of his research contributions. Dr. Tahtamouni’s work on network management seeks to understand how financial systems and institutions can optimize their operations and mitigate risk through strategic governance and decision-making processes. His research also extends to the application of these principles in the context of global financial systems, with a particular emphasis on the Middle Eastern banking sector. Dr. Tahtamouni’s interdisciplinary approach integrates finance, governance, and network theory to address the challenges faced by modern financial institutions. πŸ“ŠπŸ’‘πŸŒ

Publication Top Notes

  • Title: Factors Affecting the Market Stock Price – The Case of the Insurance Companies Listed in Amman Stock Exchange
    • Cited by: 119
    • Year: 2016
  • Title: Challenges to Healthcare Information Systems Development: The Case of Jordan
    • Cited by: 43
    • Year: 2021
  • Title: E-banking Services and the Satisfaction of Customers in the Jordanian Banks
    • Cited by: 32
    • Year: 2023
  • Title: The Impact of Social Responsibility Disclosure on the Liquidity of the Jordanian Industrial Corporations
    • Cited by: 26
    • Year: 2018
  • Title: Board Diversity and Corporate Performance: The Jordanian Industrial Corporations Case
    • Cited by: 10
    • Year: 2020

 

 

Mr. Ning Tian | Systems in Networks | Best Researcher Award

Mr. Ning Tian | Systems in Networks | Best Researcher Award

Mr. Ning Tian, Northeast Forestry University, China

Mr. Ning Tian is an undergraduate student at the College of Science, Northeast Forestry University, where he specializes in performance analysis and the dynamical properties of systems in networks. Under the guidance of Dr. Gao Shang, he recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. His research focuses on the stability of random systems with feedback control, particularly in the context of coupled oscillators. By employing techniques from graph theory and Lyapunov methods, he investigates the Noise-to-State Stability in Probability (NSSP) for Random Coupled Kuramoto Oscillators with Input Control (RCKOIC). His work contributes to the understanding of stability in random systems, validated through numerical simulations and tests. πŸ“šπŸ’‘

Publication Profile:

Orcid

Suitability for the Award:

While Mr. Ning Tian’s achievements are remarkable for his academic stage, the Research for Best Researcher Award typically recognizes seasoned researchers with extensive contributions to their fields. However, Mr. Tian’s work stands out due to:

  • The originality and depth of his research.
  • His ability to address complex problems in networked systems as an undergraduate, which is highly commendable.
  • His contribution to developing methodologies that can impact broader applications in performance analysis and dynamical systems.

Academic Background:

Mr. Ning Tian is currently an undergraduate student at the College of Science, Northeast Forestry University. He is under the supervision of Dr. Gao Shang and specializes in the analysis of dynamical properties of systems in networks. πŸŽ“

Research & Achievements:

He has recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. This work explores the stability of random systems with feedback control, specifically in coupled oscillators, using advanced techniques from graph theory and the Lyapunov method. πŸ“šπŸ§‘β€πŸ”¬

Contributions to Research & Development:

Through his research, Mr. Tian has made significant contributions to the understanding of stability in random coupled systems. His work, which is validated through numerical simulations, enhances the study of noise-to-state stability in complex networks. βš™οΈπŸ”¬

Publication Top Note:

Title: Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control
Published: November 27, 2024

 

 

Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

Mr. Bereket Endale Bekele, Silesian University of Technology, Ethiopia

Bereket Endale Bekele is an IT professional from Addis Ababa, Ethiopia, with a background in Electrical Engineering and Informatics. Passionate about networking and IT infrastructure, he has amassed over four years of experience in roles spanning network administration, IT support, and consultancy. Bereket has been instrumental in optimizing networks for large enterprises and hospitality settings and is currently an IT Consultant with Phoenixopia, where he provides strategic insights for digital innovation. His academic pursuits include IoT research, with a keen focus on data transmission protocols. Bereket’s career ambition is to integrate AI into network management, developing adaptive, resilient systems for next-generation communication.

Professional Profile:

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πŸŽ“Education:

Bereket completed a Master’s in Informatics from the Silesian University of Technology in Poland, where he studied IoT security, computer networks, distributed systems, cloud computing, and machine learning. His thesis explored UDP-based data transmission in IoT environments, analyzing protocols to improve network efficiency. This education honed his understanding of data protection, scalability, and network architecture, equipping him with the technical acumen to address security challenges in IoT and develop efficient cloud solutions. Prior to this, he earned a Bachelor’s in Electrical Engineering from Adama Science and Technology University, with coursework in digital signal processing, communication systems, and electrical materials, laying a robust foundation for his career in IT.

🏒Experience:

Bereket’s career began as an IT Officer with Jupiter International Hotel and Trading in Ethiopia, where he provided IT support across the company’s trading and hospitality divisions. He then advanced to IT Network Administrator, managing complex networks and enhancing IT infrastructure performance. Moving to Concentrix, he worked as an IT Customer Support representative in Poland, strengthening his troubleshooting and customer service skills. Currently, Bereket serves as an IT Consultant with Phoenixopia in Ethiopia, where he advises on network security and optimization, leveraging his expertise to streamline and safeguard digital solutions.

πŸ…Awards and Honors:

Bereket has earned recognition for his technical and academic contributions in IT and IoT. He achieved a high academic distinction, graduating with a final grade of 4.72 in his Master’s program. His research on UDP-based data transmission in IoT environments was published, showcasing his innovative approach to improving network reliability. Bereket has also received commendations from supervisors for his commitment to advancing secure, efficient IoT solutions and for his hands-on expertise in enhancing network infrastructure for business and academic settings. These achievements reflect his dedication to creating impactful, future-ready IT solutions.

πŸ”¬Research Focus:

Bereket’s research focuses on optimizing data transmission in IoT environments, particularly using UDP-based protocols. His work evaluates the reliability, efficiency, and security of network protocols, emphasizing the importance of acknowledgment mechanisms to reduce packet loss in IoT networks. Bereket’s research extends to integrating AI with networking to predict network conditions and adapt protocols dynamically. His ongoing Ph.D. goals involve leveraging machine learning and edge-cloud technology to develop adaptable network systems that can support the growing demand for real-time, data-intensive applications across varied IoT topologies.

Publication Top Notes:

Performance Evaluation of UDP-Based Data Transmission with Acknowledgment for Various Network Topologies in IoT Environments

 

 

 

Dr. Kesyton Ozegin | Geophysical Network | Best Researcher Award

Dr. Kesyton Ozegin | Geophysical Network | Best Researcher Award

Dr. Kesyton Ozegin, Ambrose Alli University, Ekpoma, Nigeria

Dr. K. Ozegin is a Senior Lecturer in the Department of Physics at Ambrose Alli University, Ekpoma, Nigeria, specializing in exploration geophysics. He holds a Ph.D. in Exploration Geophysics from the University of Benin (2019/2020), along with an M.Phil. and M.Sc. in Exploration Geophysics from the University of Ibadan, and a B.Sc. in Applied Physics (Geophysics) from Ambrose Alli University. With extensive academic and research experience, his expertise spans geophysical methods for groundwater and mineral exploration, seismic and electromagnetic methods, and GIS and remote sensing. Dr. Ozegin has published numerous academic papers and actively participates in conferences and workshops. He also serves as Director of the Directorate of IJMB and Foundation Programs at Ambrose Alli University and is recognized for his contributions to the advancement of geophysical studies.

Professional Profile:

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Suitability for Best Researcher Award

Dr. K. Ozegin’s extensive academic qualifications, significant research contributions, and leadership roles make him an exemplary candidate for the Best Researcher Award. His expertise in exploration geophysics and his impact on both academic research and educational advancement underscore his suitability for this prestigious recognition.

πŸŽ“Education:

Dr. K. Ozegin earned his Ph.D. in Exploration Geophysics from the University of Benin, Nigeria, in the 2019/2020 academic year. He completed his M.Phil. in Exploration Geophysics at the University of Ibadan, Nigeria, in 2017/2018. Prior to that, he obtained his M.Sc. in Physics from the same institution in 2004/2005. His foundational education includes a B.Sc. (Hons.) in Applied Physics (Geophysics) from Ambrose Alli University, Ekpoma, Nigeria, which he completed in 1999/2000.

🏒Work Experience:

Dr. K. Ozegin has held several academic positions at Ambrose Alli University, Ekpoma, Nigeria. He has served as a Senior Lecturer in the Department of Physics since October 1, 2021. Prior to this role, he was a Lecturer I from October 1, 2013, to September 30, 2021, and a Lecturer II from October 1, 2010, to September 30, 2013. His career at the university began as an Assistant Lecturer, a position he held from December 18, 2006, to November 30, 2010. Additionally, he has been a Visiting Lecturer at Mudiame University, Irrua, Edo State, Nigeria, in the Department of Physics with Electronics since 2022.

πŸ…Awards and Recognition:

In 2010, Nevena Mileva received an Honorary Diploma for being the Best Young Waiter in a competition organized by the Bulgarian Hotel and Restaurant Association. Additionally, she was recognized as the Most-Initiative Student at the Professional High School of Tourism in Varna, also in 2010.

Publication Top Notes:

  • Groundwater Exploration in a Landscape with Heterogeneous Geology: An Application of Geospatial and Analytical Hierarchical Process (AHP) Techniques in the Edo North Region
  • Effect of Geodynamic Activities on an Existing Dam: A Case Study of Ojirami Dam, Southern Nigeria
  • Susceptibility Test for Road Construction: A Case Study of Shake Road, Irrua, Edo State
  • An Application of the 2–D DC Resistivity Method in Building Site Investigation: A Case Study in South-South Nigeria
  • Integration of Very Low-Frequency Electromagnetic (VLF-EM) and Electrical Resistivity Methods in Mapping Subsurface Geologic Structures Favourable to Road Failures

 

 

 

 

 

Dr. Jingwen Wang | Advanced Functional Network | Best Researcher Award

Dr. Jingwen Wang | Advanced Functional Network | Best Researcher Award

Dr. Jingwen Wang, Anhui University of Science and technology, China

Dr. Jingwen Wang is a Postdoctoral Researcher specializing in Safety Science and Engineering at the University of Science and Technology of China, where she completed her Doctor of Engineering degree (2020-2024). She also holds a Bachelor of Science in Macromolecule Materials and Engineering from Anhui University (2013-2017). Under the supervision of Academician Liang Yuan, Dr. Wang has made significant strides in material science, focusing on the customized design of nanomaterials and high-performance composites with enhanced properties such as toughness, wear-resistance, fire-safety, and multimodal monitoring capabilities. Her contributions to next-generation materials have been supported by prestigious research projects, including those funded by the National Key Research and Development Program and the National Natural Science Foundation of China.

Professional Profile:

Scopus

Suitability for the Award

Dr. Jingwen Wang is an outstanding candidate for the Best Researcher Award, based on the following key points:

  1. Innovative Research:
    • Dr. Wang’s work on advanced polymer and functional materials showcases a deep understanding of material science. Her ability to design and engineer multifunctional materials and high-performance composites is not only innovative but also highly impactful, pushing the boundaries of what is possible in material science.
  2. High-Impact Publications:
    • Her research is published in top-tier journals such as Chemical Engineering Journal and Advanced Functional Materials, demonstrating the high quality and relevance of her work. The topics she addresses, including flame retardancy, toughness, wear-resistance, and electronic device reconfiguration, are crucial for advancing technology in various industries.
  3. Collaborative Research Experience:
    • Participation in nationally funded research projects highlights her capability to contribute significantly to large-scale, collaborative research endeavors. This experience underscores her role as a leading researcher who can drive impactful studies.
  4. Broad Research Impact:
    • Dr. Wang’s research has broad applications in safety science, engineering, electronics, and materials science, making her work relevant to multiple fields and industries. Her contributions are poised to influence future developments in material science and technology.

Summary of Qualifications

  1. Education:

    • Doctor of Engineering (2020 – 2024), Major in Safety Science and Engineering, University of Science and Technology of China.
    • Bachelor of Science (2013 – 2017), Major in Macromolecule Materials and Engineering, Anhui University.
  2. Work Experience:

    • Postdoctoral Researcher under the supervision of Liang Yuan, an Academician.
  3. Research Contributions:

    • Dr. Wang has made significant contributions to the field of material science, particularly in the customized design of nanomaterials to create multifunctional materials and the tailored design of high-performance composites. Her work has resulted in the development of next-generation materials with enhanced properties, including toughness, wear-resistance, fire-safety, and multimodal monitoring capabilities.
  4. Key Publications:

    • β€œTargeted assembly of hierarchical sea-urchin inspired NiPS@LDH architecture for enhanced toughness, wear-resistance and fire-safety of epoxy composites,” Chemical Engineering Journal, 2024.
    • β€œBioinspired ultra-robust ionogels constructed with soft-rigid confinement space for multimodal monitoring electronics,” Advanced Functional Materials, 2023.
    • β€œIntrinsic ionic confinement dynamic engineering of ionomers with low dielectric-k, high healing and stretchability for electronic device reconfiguration,” Chemical Engineering Journal, 2023.
    • β€œEthanol inducing self-assembly of poly-(thioctic acid)/graphene supramolecular ionomers for healable, flame-retardant, shape-memory electronic devices,” Journal of Colloid and Interface Science, 2023.
    • β€œSynergistic effects of aryl diazonium modified Few-Layer black Phosphorus/Ultrafine rare earth yttrium oxide with enhancing flame retardancy and catalytic smoke toxicity suppression of epoxy resin,” Applied Surface Science, 2022.
  5. Research Projects:

    • Dr. Wang has participated in several prestigious national research projects, including:
      • National Key Research and Development Program funding.
      • Multiple National Natural Science Foundation of China projects.

Conclusion

Dr. Jingwen Wang is highly suitable for the Best Researcher Award. Her innovative research, high-impact publications, and participation in prestigious research projects underscore her exceptional contributions to the field of material science. Dr. Wang’s work on the customized design of nanomaterials and high-performance composites not only advances academic knowledge but also has practical implications for the development of next-generation materials with enhanced properties. These qualities make her a strong candidate for this prestigious award.

 

 

 

 

 

 

Prof. Antonio Alberti | Mobile Networks Award | Best Researcher Award

Prof. Antonio Alberti | Mobile Networks Award | Best Researcher Award

Prof. Antonio Alberti, National Institute of Telecommunications, Brazil

Prof. Antonio Alberti, an Associate Professor at the National Institute of Telecommunications (Inatel), Brazil, holds a Ph.D. in Electrical Engineering from Unicamp, focusing on quality of service in ATM networks. He earned both his M.Sc. and B.Sc. in Electrical Engineering from Unicamp and the Federal University of Santa Maria, respectively. At Inatel, Prof. Alberti leads the ICT Lab, overseeing a team of 25 researchers and driving advancements in 5G and 6G technologies, smart cities, and network virtualization. His pioneering work includes developing smart systems for public safety and innovative future internet designs, with significant contributions to telecommunications and telematics.

🌍 Professional Profile:

Scopus
Orcid

Suitability for Best Researcher Award

Prof. Antonio Alberti is a highly accomplished researcher in the field of Electrical and Computer Engineering, with a particular focus on telecommunications and next-generation network technologies. His extensive educational background, current employment, and impressive research portfolio demonstrate his qualifications for the Best Researcher Award.

Educational Background:

Prof. Antonio Alberti holds a Ph.D. in Electrical Engineering from Unicamp (2003), specializing in telecommunications and telematics with a focus on quality of service in ATM networks. He also earned an M.Sc. in Electrical Engineering from Unicamp (1998) and a B.Sc. from the Federal University of Santa Maria (1996), concentrating on electronics and communications.

Professional Experience:

Currently an Associate Professor at the National Institute of Telecommunications (Inatel), Brazil, Prof. Alberti has been with the institution since 2004. He leads the ICT Lab, directing a team of 25 researchers and contributing significantly to the design, softwarization, and virtualization of advanced network architectures, including 5G and 6G technologies.

Research and Contributions:

Prof. Alberti is a pioneer in network technology innovation, with a focus on next-generation networks and smart cities. His research includes:

  • 5G and 6G Network Technologies: Leading projects on network architecture, softwarization, and programmability.
  • Smart Cities: Developing smart lighting and video monitoring systems for public safety.
  • Future Internet Design: Postdoctoral research at ETRI, South Korea.
  • Telecommunications and Telematics: Advanced simulation models for ATM networks.

Publication Top Notes:

  • Title: Convergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for Fresh Food Logistics: Challenges and Opportunities
    • Citations: 53
    • Year: 2023
  • Title: A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures
    • Citations: 8
    • Year: 2023
  • Title: Toward Future Internet of Things Experimentation and Evaluation
    • Citations: 11
    • Year: 2022
  • Title: A Tutorial on Trusted and Untrusted Non-3GPP Accesses in 5G Systems – First Steps Toward a Unified Communications Infrastructure
    • Citations: 6
    • Year: 2022
  • Title: APTM: A Model for Pervasive Traceability of Agrochemicals
    • Citations: 7
    • Year: 2021

 

 

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award -2888

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award

Ms. Amruta Chougule, Dr. D. Y. Patil Institute of Technology, Pune, India

🌟 Dr. Amruta Chougule is a distinguished AI researcher and educator with a PhD in Deep Learning and an MTech in Embedded Systems. Her academic journey includes a BE in Electronics and a DE in Electronics & Telecommunications, highlighting her strong foundation in technology. As an Assistant Professor at D.Y. Patil College of Engineering and Technology since October 2021, she is renowned for her expertise in AI and ML course development, student mentorship, and driving impactful research initiatives. Previously, as a Senior Software Engineer at Spring Source Technologies, Bangalore, from June 2019 to August 2021, Amruta led pioneering projects in NLP and object detection, leveraging advanced ML algorithms to enhance customer interactions and prevent fraud. Her commitment to advancing AI’s frontiers is underscored by her active participation in conferences and workshops, reflecting her dedication to innovation and excellence in the field. πŸ–₯️

🌐 Professional Profile:

ORCID
Scopus

πŸŽ“ Education

Amruta Chougule holds a PhD in Deep Learning, completed in 2021, and an MTech in Embedded Systems from Savitribai Phule Pune University and VIT University Chennai, respectively. She earned her BE in Electronics from Bharat Vidyapeeth College of Engineering, Kolhapur, and a DE in Electronics & Telecommunications from D.Y. Patil Polytechnic.

🌟 Experience

As an accomplished AI Software Engineer and Analyst, Amruta has led groundbreaking research in Artificial Intelligence and Deep Learning. Her expertise spans analysis, design, development, and implementation of cutting-edge AI solutions, collaborating effectively across teams to achieve project excellence.

πŸ‘©β€πŸ« Assistant Professor

Since October 2021, Amruta has served as an Assistant Professor at D.Y. Patil College of Engineering and Technology, Kolhapur. She excels in designing comprehensive AI and ML courses, mentoring students, and guiding impactful research initiatives. Her commitment to advancing AI’s frontiers is evident through her active participation in conferences and workshops.

πŸ–₯️ Senior Software Engineer

From June 2019 to August 2021, Amruta worked as a Senior Software Engineer at Spring Source Technologies, Bangalore. There, she spearheaded the development of innovative NLP solutions and object detection systems, leveraging advanced ML algorithms to enhance customer services and detect fraudulent transactions.

πŸ“ˆ Achievements

Amruta led the development of predictive software for business forecasting, applying sophisticated statistical analysis and ML techniques. Her leadership and technical acumen have significantly contributed to the success of various projects, reflecting her dedication to pushing the boundaries of AI in practical applications.

Publication Top Notes:

  • Custom CNN-BiLSTM model for video captioning
    • Published in Multimedia Tools and Applications, 2024
  • Unveiling the Power of Transfer Learning: A Comparative Analysis of Video Features in Captioning Task
    • Presented at a conference, 2023
  • IoT Based Smart Car Monitoring System
    • Presented at the Tenth International Conference on Advanced Computing (ICoAC), 2018