Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

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Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

Mr. Sergei Volvenko | The Great St. Petersburg Polytechnical University | Russia

Sergei Volvenko πŸŽ“πŸ”¬ is a Senior Researcher at Peter the Great St. Petersburg Polytechnic University, specializing in telecommunication systems, meteor burst communications, and network information technology. With a career spanning over two decades, he has contributed significantly to research, teaching, and international collaborations in space technology πŸš€. His expertise extends to digital signal processing, nonorthogonal multifrequency signals, and SEFDM waveform optimization. Volvenko has played a key role in managing R&D projects, fostering academic partnerships, and enhancing telecommunication education πŸ“‘. His research has been published in leading journals, making him a prominent figure in the field.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Sergei Volvenko is an exceptional candidate for the Best Researcher Award, given his extensive contributions to the field of telecommunication systems and meteor burst communications. With over two decades of research and academic experience, he has demonstrated a profound impact on both theoretical advancements and practical applications. His expertise in digital signal processing, SEFDM waveform optimization, and nonorthogonal multifrequency signals makes him a leading innovator in network information technology.

Education & Experience

  • πŸŽ“ Tomsk State University – Graduated in Radiophysics and Electronics (1988–1995)
  • πŸŽ“ St. Petersburg State Technical University – Master’s in Digital Signal Processing (1992–1994)
  • πŸŽ“ St. Petersburg State Technical University – Research Student (1995–1997)
  • πŸŽ“ St. Petersburg State Technical University – Ph.D. in Meteor Burst Communication Systems (1997–2000)
  • πŸ“‘ Telecommunications Engineer – Karaganda Metallurgical Plant, Kazakhstan (1995)
  • πŸ”¬ Electronics Engineer – St. Petersburg State Technical University (2000–2001)
  • πŸ’» Computer Programmer – St. Petersburg State Technical University (2001–2002)
  • 🎀 Assistant Lecturer – St. Petersburg State Polytechnic University (2002–2007)
  • πŸ‘¨β€πŸ« Associate Professor – Peter the Great St. Petersburg Polytechnic University (2007–2020)
  • πŸš€ Senior Researcher – Peter the Great St. Petersburg Polytechnic University (2020–Present)

Professional Development

Sergei Volvenko has been instrumental in advancing telecommunication technologies πŸ“Ά, with a focus on research, education, and industry collaboration. As a university professor and researcher, he has designed and taught key courses on network information technology, electric communication networks, and telecommunication fundamentals πŸ“–. His expertise in meteor burst communication systems and spectral efficiency has led to impactful research publications πŸ“‘. Volvenko is also engaged in international cooperation in space technology, working with global institutions to develop cutting-edge solutions πŸš€. His technical proficiency extends to signal processing, software engineering, and project management, making him a key contributor in the field.

Research Focus

Sergei Volvenko specializes in telecommunication networks, digital signal processing, and meteor burst communication systems πŸ“‘. His research explores nonorthogonal multifrequency signals, SEFDM waveform optimization, and coherent detection algorithms πŸ”¬. He has developed simulation models for efficient data transmission and contributed to the advancement of frequency division multiplexing systems πŸ“Š. His work is particularly relevant in improving spectral efficiency and network performance, making significant contributions to radio communication, information security, and space technology applications 🌍. Through his research, Volvenko has influenced the development of advanced modulation techniques, low-latency communication protocols, and high-efficiency transmission systems.

Awards & Honors

πŸ† Research Excellence Award – Recognized for contributions to meteor burst communication research
πŸ… Best Paper Award – Presented at an international telecommunication conference
πŸ“œ Distinguished Teaching Award – Honored for excellence in engineering education
πŸŽ–οΈ Innovation Grant – Received funding for advancements in spectral-efficient communication
🌍 International Collaboration Award – Recognized for fostering global research partnerships

Publication Top Notes:

πŸ“š “Quantized Kernel Recursive q-RΓ©nyi-like Algorithm” (2025) – 1️⃣ citation πŸ“Š
πŸ“‘ “Application of Convolutional Neural Networks Trained on Optical Images for Object Detection in Radar Images” (2024) – 3️⃣ citations 🎯
πŸ“Ά “Prototype Filter Design for Effectively Suppressing Out-of-Band Radiation in GFDM Systems” (2023) – 9️⃣ citations πŸ“‘
πŸ“‘ “Evaluation of the Transmission Efficiency of Multi-Frequency Signals with an Unknown Initial Phase in the Meteor Burst Communication System” (Year N/A) – 3️⃣ citations πŸ”„

 

Prof. Reza Ghaderi | AI in Networking | Best Faculty Award

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Prof. Reza Ghaderi | AI in Networking | Best Faculty Award

Prof.Β  Reza Ghaderil, Shahid Beheshti University, Iran

Reza Ghaderi’s extensive achievements in education, research, and academic leadership make him an exemplary candidate for the Research for Best Researcher Award. His educational background, specialized research expertise, and significant academic contributions reflect a career dedicated to advancing electrical engineering and technology. His innovative research projects further illustrate his ability to address complex challenges and drive progress in his field. With a proven track record of impactful work and leadership, Dr. Ghaderi embodies the qualities sought for this prestigious award.

Professional Profile:

ScopusΒ 
Orcid
Google scholar

Suitability for the Award

Prof. Reza Ghaderi is highly suitable for the Research for Best Faculty Award. His extensive academic and research experience, combined with his leadership roles in both educational institutions and national projects, make him a distinguished figure in the field of electrical engineering. His contributions to research, particularly in neural networks, nanoelectronics, and particle accelerators, have had a significant impact on both the academic community and the broader technological landscape.

Educational Achievements:

Reza Ghaderi’s educational background is marked by significant accomplishments, reflecting his deep knowledge and commitment to the field of electrical engineering. He earned his Bachelor’s and Master’s degrees in Electrical Engineering – Electronics from Ferdowsi University of Mashhad and Tarbiat Modares University, respectively. His academic journey culminated in a Ph.D. from the University of Surrey, Guildford, where he specialized in electrical engineering. His strong educational foundation has provided him with the skills and insights necessary for groundbreaking research and leadership in his field.

Specialized Research Expertise:

Dr. Ghaderi’s research expertise spans a wide array of topics within electrical engineering, showcasing his versatility and depth of knowledge. His work includes the design and development of advanced technological systems such as high-voltage generators and digital autopilot systems. He has made significant contributions to neural networks, face recognition systems, and hydraulic servo systems, highlighting his ability to tackle complex problems and innovate solutions in various research areas.

Significant Academic Contributions:

Reza Ghaderi has made notable academic contributions through his roles as a faculty member and administrator at prestigious institutions. His leadership positions at the University of Mazandaran and Shahid Beheshti University, including his current role as Dean of the Faculty of Electrical Engineering, underscore his influence in shaping academic programs and research initiatives. His involvement in the development of national technology and IT strategies further emphasizes his impact on advancing educational and technological standards.

Innovative Research Projects:

Dr. Ghaderi’s innovative research projects have addressed a range of technological and scientific challenges. His work on designing high-voltage generators and AC motor speed controllers, along with his research on neural networks and particle accelerators, demonstrates his ability to lead and execute complex projects. His contributions to national projects, such as the development of sonar strategies and energy strategy documents, highlight his commitment to advancing technology and its applications on a broader scale.

Professional Experience and Impact:

Reza Ghaderi’s professional experience encompasses a broad range of roles and responsibilities that highlight his profound impact on the field of electrical engineering and academia. His career trajectory demonstrates a commitment to both advancing technological innovations and shaping educational practices.

Publication Top Notes:

  • Publication Topic: “A Practical Approach to Tracking Estimation Using Object Trajectory Linearization”
    • Year: 2024
  • Publication Topic: “Rapid and Accurate Predictions of Perfect and Defective Material Properties in Atomistic Simulation Using the Power of 3D CNN-Based Trained Artificial Neural Networks”
    • Year: 2024
  • Publication Topic: “Solving a Class of Thomas–Fermi Equations: A New Solution Concept Based on Physics-Informed Machine Learning”
    • Year: 2024
  • Publication Topic: “Salinity and Flow Pattern Independent Flow Rate Measurement in a Gas-Liquid Flow with Optimum Feature Selection and Novel Detection Geometry Using ANNs”
    • Year: 2024
  • Publication Topic: “An IoT-Based Packet Aggregation Mechanism for the SDN-Based Wide Area Networks”
    • Year: 2024

 

 

Prof Dr. Alvaro Barradas | Routing | Best Researcher Award

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Prof Dr. Alvaro Barradas | Routing | Best Researcher Award

Prof Dr. Alvaro Barradas, University of Algarve, Portugal

Dr. Alvaro Barradas holds a PhD in Electronic Engineering and Computing (2009/11) and a Bachelor’s in Computer Science Management from the University of Algarve. πŸŽ“ With a teaching career spanning 2013 to 2019 at the same university, he specialized in Electrotechnical Engineering, Electronics, and Informatics. 🏫 Dr. Barradas is a prolific researcher with 15 articles and a book to his credit, focusing on Substation Automation Systems, Interoperability, and Routing Algorithms. πŸ“š Currently affiliated with the University of Algarve’s Center for Optoelectronics, Electronics, and Telecommunications, his projects include SensWorking, blending IoT with biological monitoring, and optimizing wireless mesh and sensor networks.

🌐 Professional Profiles :

Scopus

Orcid

πŸŽ“ Education:

Dr. Alvaro Barradas completed his PhD in Electronic Engineering and Computing in 2009/11 from the University of Algarve, specializing in Computer Systems Architecture. He also holds a Bachelor’s degree in Computer Science Management from the University of Algarve.

🏫 Teaching Experience:

With a career spanning from 2013 to 2019, Dr. Barradas served as an Assistant Professor at the University of Algarve, Portugal, imparting knowledge in the fields of Electrotechnical Engineering, Electronics, and Informatics.

πŸ“š Research Focus:

Dr. Barradas has contributed significantly to the academic community with 15 articles published in specialized journals and 1 book. His research interests include Substation Automation Systems, Interoperability, Computer Networks, Optical Networks, and Routing Algorithms.

🌐 Affiliation & Projects:

Currently affiliated with the University of Algarve’s Center for Optoelectronics, Electronics, and Telecommunications, Dr. Barradas is involved in projects such as SensWorking, aiming to merge IoT with biological monitoring. He has also been part of strategic projects focusing on wireless mesh and sensor networks optimization.

Scopus Metrics:

  • πŸ“Β Publications: 24 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 148 citations for his publications, reflecting the widespread impact and recognition of Dr. Mahrokh’s research within the academic community.

Publications Top Notes :

  1. DAG-Coder: Directed Acyclic Graph-Based Network Coding for Reliable Wireless Sensor Networks
    • Published in IEEE Access in 2020.
    • 6 citations.
  2. Design of network coding based reliable sensor networks
    • Published in Ad Hoc Networks in 2019.
    • 8 citations.
  3. A Bounded Heuristic for Collection-Based Routing in Wireless Sensor Networks
    • Published in IEEE Access in 2018.
    • 2 citations.
  4. GACN: Self-Clustering Genetic Algorithm for Constrained Networks
    • Published in IEEE Communications Letters in 2017.
    • 18 citations.
  5. Resource design in constrained networks for network lifetime increase
    • Published in IEEE Internet of Things Journal in 2017.
    • 10 citations.

 

 

 

 

 

 

Assoc Prof Dr. Metehan Feridun Sorkun | Network Services and Applications | Best Researcher Award

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Assoc Prof Dr. Metehan Feridun Sorkun | Network Services and Applications | Best Researcher Award

Assoc Prof Dr. Metehan Feridun Sorkun, Izmir University of Economics, Turkey

✨ Dr. Metehan Feridun earned his Ph.D. in Management from the joint program of Ca’ Foscari Venice, Padua, and Verona Universities. His doctoral research, completed from 2011 to 2016, focused on “Three Essays on the Relationship between Product Modularity and Organizational Modularity.” Currently serving as an Associate Professor of Operations Management at Izmir University of Economics since 2017, Dr. Feridun brings a wealth of academic expertise to the Department of Business Administration. πŸŽ“πŸ“Š

πŸŽ“Education :Β 

Dr. Metehan Feridun is a distinguished scholar with a Ph.D. in Management obtained through a joint program at Ca’ Foscari Venice, Padua, and Verona Universities. His doctoral journey from 2011 to 2016 delved into the intricacies of the relationship between product modularity and organizational modularity, resulting in the dissertation titled “Three Essays on the Relationship between Product Modularity and Organizational Modularity.” Prior to his Ph.D., he excelled in his Bachelor’s in Logistics Management at Izmir University of Economics, graduating with a perfect GPA of 4.00/4.00 from 2006 to 2010. πŸŽ“πŸ“š

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

Linkedin

πŸ“š Work Experience :

Dr. Metehan Feridun is a seasoned professional in the realm of academia and management. Since 2017, he has been making significant contributions as an Associate Professor of Operations Management at Izmir University of Economics within the Department of Business Administration, showcasing his expertise and dedication. In addition to his teaching role, he assumed the position of MBA Program Coordinator at the same institution in 2017, demonstrating his commitment to fostering academic programs. Dr. Feridun’s global perspective was further enriched during his tenure as a Visiting Researcher at Greenwich University in the United Kingdom from 2014 to 2015. πŸŒπŸ‘¨β€πŸ«

🧠 Research Interests πŸ”¬πŸŒ :

Dr. Metehan Feridun’s intellectual curiosity spans a diverse spectrum, reflecting a multifaceted researcher. His keen interests lie in the intricate domains of modularity, reverse logistics, new product development, service operations management, and waste management. πŸ§ πŸ”¬πŸŒ With a focus on these dynamic areas, Dr. Feridun delves into the complexities of modern business, contributing valuable insights and advancements to the fields of sustainability, operations, and innovation. His research pursuits embody a commitment to unraveling the intricacies that shape the future of these critical areas in today’s global landscape. πŸŒπŸš€

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 14 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 196 citations for his publications, reflecting the widespread impact and recognition of Dr. Metehan Feridun’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 355 πŸ“–
    • h-index: 8 πŸ“Š
    • i10-index: 8 πŸ”
  • Since 2018:
    • Citations: 354 πŸ“–
    • h-index: 8 πŸ“Š
    • i10-index: 8 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.Β  How do social norms influence recycling behavior in a collectivistic society? A case study from Turkey

Published in Waste Management in 2018, Cited by 90

2.Β  Revealing the impact of operational logistics service quality on omni-channel capability

Published in Asia Pacific Journal of Marketing and Logistics in 2018, Cited by 58

3.Β  Omni-channel capability and customer satisfaction: mediating roles of flexibility and operational logistics service quality

Published in International Journal of Retail & Distribution Management in 2020, Cited by 49

4.Β  Product and organizational modularity: a contingent view of the mirroring hypothesis

Published in European Management Review in 2017, Cited by 46

5.Β  Exploring the microfoundations of dynamic capabilities for social innovation in a humanitarian aid supply network setting

Published in Industrial Marketing Management in 2021, Cited by 24

6.Β  The impact of product variety on LSQ in e-marketplaces

Published in International Journal of Physical Distribution & Logistics Management in 2019, Cited by 24

7.Β  Digitalization in logistics operations and industry 4.0: understanding the linkages with buzzwords

Published in 2020, Cited by 14

8.Β  The effects of companies’ reverse logistics motivations on their reverse logistics networks

Published in “Strategic Design and Innovative Thinking in Business Operations: The Role of…” in 2018, Cited by 10

9.Β  Service modularity in e-learning programs: an analysis from the perceived usefulness perspective

Published in International Journal of Operations & Production Management in 2022, Cited by 8

10.Β  Factors That Impact the Logistics Service Performance in Online Marketplaces

Published in Journal of Yaşar University in 2019, Cited by 7