Mr. GEORGIOS ADAM | Digital Transformation | Industry Impact Award

Published on by Network Awards

GEORGIOS ADAM | Digital Transformation | Industry Impact Award

GEORGIOS ADAM, University of Piraeus, Greece

Adam Georgios 🎓 is a Ph.D. candidate in Business Administration at the University of Piraeus and a seasoned expert in digital and shopper marketing. With a strong academic foundation in economic strategy and regional development, he currently serves as Digital Transformation Manager at Sarantis Group 🚀. Adam has steadily advanced through roles in marketing and business analysis, reflecting a deep understanding of consumer behavior and strategic implementation. His academic contributions include research on digital transformation in retail 🛒. Outside of work, Adam enjoys music 🎶 and free diving 🌊, showcasing a balanced blend of analytical rigor and creative passion.

Professional profile :

Google Scholar

Suitability for Best Researcher Award :

Adam Georgios is a Ph.D. candidate in Business Administration with a focused research interest in digital transformation in retail, a domain highly relevant in today’s rapidly evolving business landscape. His dual role as an academic researcher and industry professional (Digital Transformation Manager at Sarantis Group) gives him a unique advantage in producing applied, impactful research. He effectively bridges theoretical frameworks with real-world applications, contributing to both scholarly knowledge and practical innovation.

Education & Experience :

🎓 Education :

  • 📘 Ph.D. Candidate, Business Administration – University of Piraeus (2022–Present)

  • 🎓 MSc, Economic and Business Strategy – University of Piraeus (2014–2016, Distinction)

  • 🏛️ BSc, Economic and Regional Development – Panteion University (2006–2010)

💼 Professional Experience :

  • 📍 Digital Transformation Manager – Sarantis Group (2023–Present)

  • 🛍️ Shopper Marketing Manager – Sarantis Group (2019–2023)

  • 🛒 Shopper Marketing Assistant – Sarantis Group (2016–2019)

  • 📊 Business Analyst – WIND Hellas (2015–2016)

  • 🗂️ Executive Assistant – BRINKS HELLAS (2013–2014)

  • 🧾 Cashier Sales Associate – HLEKTRONIKH (2012)

  • 🧸 Sales Representative & Merchandiser – JUMBO (2011–2012)

Professional Development :

Adam Georgios continually enhances his expertise through targeted training and professional development 📚. He has completed seminars in shopper-centric category management 🛍️, financial services 💰, and governance in economic performance 📈. His proficiency spans various tools including SAP, SPSS Modeler, and Nielsen databases, equipping him with advanced data analysis and ERP skills 💻. Adam also holds a Certificate of English Language Proficiency 🇬🇧. His tech-savviness and commitment to lifelong learning make him a strong asset in digital innovation initiatives 🌐. These efforts reflect his drive to lead transformative projects with both strategic depth and operational agility ⚙️.

Research Focus :

Adam Georgios focuses his research on Digital Transformation Strategies within the Retail Value Chain 🛒💡. His doctoral work and publications explore how companies can effectively integrate technology to enhance performance, customer experience, and competitive advantage. Adam investigates models that align digital tools with business objectives, considering factors like consumer trends, innovation adoption, and cost differentiation 📊. His MSc dissertation analyzed best-cost and differentiation strategies of leading Greek retailers 🏪. Through his academic and industry experience, he bridges the gap between theory and real-world application, contributing valuable insights to the evolving digital commerce ecosystem 🌍📱.

Awards & Honors :

  • 🏆 MSc Degree with Distinction – University of Piraeus

  • 🏅 Ph.D. Candidature Awarded – Department of Business Administration, University of Piraeus

Publication Top Notes : 

Title: Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain

Citation (APA Style):
Adam, G., & Kopanaki, E. (2025). Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain. Procedia Computer Science, 256, 504–512.

Conclusion :

While Adam is still in the doctoral phase of his academic journey, his track record of research aligned with high-impact industry practices, combined with a clear focus on digital transformation, makes him a strong contender for the Best Researcher Award—particularly within emerging researcher or industry-focused research categories. With continued publication and academic engagement, he is well-positioned to become a leading figure in business research.

Prof. Jiantao Shi | Information Technology | Best Researcher Award

Published on by Network Awards

Prof. Jiantao Shi | Information Technology | Best Researcher Award

Prof. Jiantao Shi, Njing Tech University, China

Prof. Jiantao Shi is a distinguished researcher in control science and information technology, currently serving as a Professor at Nanjing Tech University. He holds a Ph.D. in Control Science and Engineering from Tsinghua University and has extensive experience in multi-robot cooperative control, fault diagnosis, and UAV learning control. His research has been published in leading IEEE journals, and he has significantly contributed to distributed system reliability. With a strong academic background and practical research experience, he has advanced intelligent control methodologies for autonomous systems. His contributions have positioned him as a leader in modern automation and robotics.

🌍 Professional Profile:

ORCID

🏆 Suitability for Best Researcher Award 

Prof. Jiantao Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to intelligent control systems, multi-robot cooperation, and UAV learning control. His work integrates cutting-edge AI techniques with control science, enabling the development of robust and fault-tolerant autonomous systems. With over 60 high-impact journal and conference papers in prestigious IEEE and SCI-indexed publications, he has made fundamental advances in the field. His leadership in both academic and applied research underscores his influence on the next generation of intelligent automation technologies. His innovative solutions make him highly deserving of this recognition.

🎓 Education

Prof. Jiantao Shi obtained his Bachelor’s degree in Electrical Engineering and Automation from Beijing Institute of Technology in 2011. He then pursued a Ph.D. in Control Science and Engineering at Tsinghua University, earning his doctorate in 2016. His academic journey at these top institutions equipped him with expertise in control systems, automation, and intelligent sensing technologies. His doctoral research focused on advanced fault diagnosis and cooperative control of multi-agent systems. This solid educational foundation has propelled him to the forefront of intelligent control and automation, enabling him to address complex challenges in distributed autonomous systems.

💼 Work Experience

Prof. Jiantao Shi has an extensive research career spanning academia and industry. From 2016 to 2018, he worked as an Associate Research Fellow at the Nanjing Research Institute of Electronic Technology, specializing in intelligent sensing. He was promoted to Research Fellow in 2019, leading projects in autonomous systems and fault-tolerant control. Since 2021, he has been a Professor at Nanjing Tech University, where he mentors students and advances research in AI-driven control methodologies. His experience in both applied research and academia allows him to bridge theoretical advancements with real-world applications in robotics, UAVs, and industrial automation.

🏅 Awards & Honors

Prof. Jiantao Shi has received several prestigious awards recognizing his contributions to control science and automation. His research has been featured in top-tier IEEE Transactions journals, demonstrating its high impact. He has been honored with multiple best paper awards at international conferences. Additionally, his work on UAV control and multi-robot systems has been acknowledged with research grants and government funding for innovation in automation. As a key contributor to cutting-edge intelligent control systems, he continues to earn accolades for his groundbreaking contributions, positioning himself as a leading researcher in distributed autonomous system control.

🔬 Research Focus

Prof. Jiantao Shi’s research centers on advanced control methodologies for intelligent automation. His key areas of expertise include cooperative control of multi-robot systems, fault diagnosis and fault-tolerant control of distributed systems, and learning-based control of UAVs. His work integrates AI and machine learning with traditional control science to enhance system resilience and autonomy. By developing robust, intelligent algorithms, he aims to improve automation reliability in real-world applications. His research has profound implications for robotics, autonomous vehicles, and industrial automation, paving the way for next-generation intelligent systems with enhanced adaptability, efficiency, and fault resilience.

📖 Publication Top Notes 

  1. A Parallel Weighted ADTC-Transformer Framework with FUnet Fusion and KAN for Improved Lithium-Ion Battery SOH Prediction
    • Publication Year: 2025
  2. Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph
    • Publication Year: 2025
  3. Iterative Learning-Based Fault Estimation for Stochastic Systems with Variable Pass Lengths and Data Dropouts
    • Publication Year: 2025
  1. A Two-Stage Fault Diagnosis Method with Rough and Fine Classifiers for Phased Array Radar Transceivers
    • Publication Year: 2024
  2. An Intuitively-Derived Decoupling and Calibration Model to the Multi-Axis Force Sensor Using Polynomials Basis
    • Publication Year: 2024
  3. Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots with Communication Limits
    • Publication Year: 2024

 

Dr. Ashish Mishra | Cloud Computer Awards | Best Researcher Award

Published on by Network Awards

Dr. Ashish Mishra | Cloud Computer Awards | Best Researcher Award

Dr. Ashish Mishra, Rajkiya Engineering College Ambedkar Nagar, India

Dr. Ashish Kumar Mishra is an accomplished academic and researcher with a Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology Allahabad, where he also earned his M.Tech. as a Gold Medalist. Currently an Assistant Professor in the Department of Information Technology at Rajkiya Engineering College Ambedkar Nagar, he has previously held a similar role at LDC Institute of Technical Studies in Allahabad. Dr. Mishra has received several accolades, including a Gold Medal for his M.Tech. and the NPTEL Discipline Star award in Computer Science and Engineering. His contributions to academia are further highlighted by his involvement in innovative patent work and his dedication to teaching and mentoring students.

Professional Profile:

Orcid
Google Scholar

🎓 Education

Dr. Ashish Kumar Mishra is a distinguished academic and researcher with a robust educational background in Computer Science and Engineering. He earned his Ph.D. from Motilal Nehru National Institute of Technology (MNNIT) Allahabad in 2020, achieving a commendable GPA of 8.25/10 in coursework. Dr. Mishra completed his M.Tech. from MNNIT Allahabad in 2015, graduating as a Gold Medalist with a CPI of 9.78/10. Additionally, he holds an M.C.A. from the Ewing Christian Institute of Management and Technology Allahabad (U.P. Technical University, Lucknow), where he graduated with honors, scoring 75.98%. His academic excellence and dedication to his field are evident through these accomplishments.

👨‍🏫 Experience

Dr. Ashish Kumar Mishra is currently serving as an Assistant Professor in the Department of Information Technology at Rajkiya Engineering College Ambedkar Nagar since December 11, 2017. He specializes in teaching courses such as Object Oriented Programming with Java, Web Technology, Cloud Computing, and Machine Learning. Previously, he worked as an Assistant Professor in the CSE/MCA Department at LDC Institute of Technical Studies, Allahabad from February 2010 to January 2016, where he taught various computer science subjects and played a key role in curriculum development.

🏆 Awards

Dr. Ashish Kumar Mishra is an accomplished Assistant Professor in the Department of Information Technology at Rajkiya Engineering College Ambedkar Nagar. With a Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology Allahabad (2020), he has a robust academic background. His outstanding achievements include a Gold Medal in M.Tech. from MNNIT Allahabad (2016) and the prestigious NPTEL Discipline Star in Computer Science and Engineering awarded by the Ministry of HRD, Government of India (2023). Dr. Mishra’s expertise and dedication to teaching and research have significantly contributed to the field of Information Technology.

Publication Top Notes:

 

 

 

 

Dr. Arash Bozorgchenani | Cloud Resource Allocation Problems | Best Researcher Award

Published on by Network Awards

Dr. Arash Bozorgchenani | Cloud Resource Allocation Problems | Best Researcher Award

Dr. Arash Bozorgchenani, University of Leeds, United Kingdom

🎓 Dr. Arash Bozorgchenani earned his Ph.D. in Electronic, Telecommunications, and Information Technology from Universita di Bologna, Italy, in 2020, focusing on computation offloading in fog/edge computing and energy harvesting. Currently serving as a Lecturer (Assistant Professor) at the School of Computing, University of Leeds, since July 2023, he teaches Networks and Procedural Programming while supervising students at all levels. With prior roles as a Research Associate at Lancaster University and a Post-doctoral Researcher at Universita di Bologna and DEI-Digicomm Research laboratory, his expertise spans fog networking, cloud/edge computing, wireless networks, machine learning, optimization problems, cybersecurity, and game theory. Dr. Bozorgchenani has a prolific publication record and has received notable awards for his contributions, including the China Electronics Education Society’s Outstanding Doctoral Thesis Award and the Shaanxi Higher Education Institutions Science and Technology Research Outstanding Achievement Award. 🔍

🌐 Professional Profiles :

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Arash Bozorgchenani completed his Ph.D. in Electronic, Telecommunications, and Information Technology from Universita di Bologna, Italy, in 2020. His doctoral research focused on computation offloading in fog/edge computing and energy harvesting technologies.

💼 Professional Experience:

He has served as a Lecturer (Assistant Professor) at the School of Computing, University of Leeds, since July 2023, where he teaches Networks and Procedural Programming modules and supervises undergraduate, master’s, and Ph.D. students. Prior to this, he worked as a Research Associate at Lancaster University and as a Post-doctoral Researcher at Universita di Bologna and DEI-Digicomm Research laboratory.

🏆 Awards and Honors:

Dr. Arash Bozorgchenani has garnered a host of accolades throughout his career, including being endorsed by UK Research and Innovation under the Global Talent Route in 2021 🌍, securing a Lancaster University Research Grant for a three-year Research Associate position in 2020 🎓, and receiving a prestigious Universita di Bologna Research Fellowship for his post-doctoral work in 2019 🏆. His academic journey began with a full Ph.D. scholarship at Universita di Bologna in 2016, setting the stage for his subsequent research endeavors and accomplishments.

🌍 Research Interests:

Dr. Bozorgchenani’s research interests include fog networking, cloud/edge computing, wireless networks, machine learning, optimization problems, cybersecurity, and game theory. He has published extensively in these areas and has received recognition for his contributions.

📚 Publications:

He has authored numerous papers in prestigious journals and conferences, focusing on topics such as computation offloading, machine learning, vehicular communication, and optimization techniques.

🔍 Research Achievements:

Dr. Bozorgchenani’s research has been recognized with several awards, including the China Electronics Education Society’s Outstanding Doctoral Thesis Award and the Shaanxi Higher Education Institutions Science and Technology Research Outstanding Achievement Award.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 23 documents indexed in Scopus.
  • 📊 Citations: A total of 419 citations for his publications, reflecting the widespread impact and recognition of Dr. Arash Bozorgchenani’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 576 📖
    • h-index: 12  📊
    • i10-index: 13 🔍
  • Since 2018:
    • Citations: 565 📖
    • h-index: 12 📊
    • i10-index: 13 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. Multi-objective computation sharing in energy and delay constrained mobile edge computing environments
    • Published in IEEE Transactions on Mobile Computing in 2020.
    • 116 citations.
  2. Centralized and distributed architectures for energy and delay efficient fog network-based edge computing services
    • Published in IEEE Transactions on Green Communications and Networking in 2018.
    • 60 citations.
  3. On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
    • Published in IEEE Transactions on Vehicular Technology in 2021.
    • 59 citations.
  4. An Energy and Delay-Efficient Partial Offloading Technique for Fog Computing Architectures
    • Published in IEEE Globecom in 2018.
    • 57 citations.
  5. Computation offloading in heterogeneous vehicular edge networks: On-line and off-policy bandit solutions
    • Published in IEEE Transactions on Mobile Computing in 2021.
    • 48 citations.