Prof Dr. Enzo Baccarelli | Fog Computing Award | Outstanding Scientist Award

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Prof Dr. Enzo Baccarelli | Fog Computing Award | Outstanding Scientist Award

Prof. Dr. Enzo Baccarelli, Sapienza University of Rome, Italy

Prof. Enzo Baccarelli is a distinguished figure in the field of Telecommunication & Networking Engineering, currently serving as a full professor at the Department of Information Engineering, Electronics, and Telecommunications (DIET) at the University Sapienza of Rome. With over 25 years of academic and research experience, Prof. Baccarelli’s expertise lies in Statistical Signal Processing for Digital Communication, Information Theory, and Coding. He has authored over 150 papers published in esteemed IEEE international journals and conferences, along with two international patents. Additionally, he has contributed significantly to the educational landscape through his teaching and authored several textbooks in the areas of Data Communication, Telecommunication Engineering, and Broadband Networking. Prof. Baccarelli has held various leadership roles within the academic community, including dean and board member positions, and has actively participated in review and editorial activities for prestigious IEEE publications. His dedication to research excellence is evident through his involvement in numerous research projects and evaluation panels at both national and international levels. Prof. Baccarelli’s remarkable contributions have earned him recognition in European and American Who’s Who directories, cementing his reputation as a leading authority in Telecommunication & Networking Engineering

Professional Profile:

Scopus

🎓 Education:

  • Electronics Engineering degree (laurea) ”cum Laude” from University “La Sapienza” of Rome in 1989
  • Ph.D. and Post-Ph.D. degrees in Information and Communication Engineering in 1993 and 1995, respectively

📚 Research Focus:

  • Statistical Signal Processing for Digital Communication
  • Information Theory and Coding
  • Design of integrated communication/computing distributed platforms for broadband wireless/wired Internet-based networks

👨‍🏫 Academic Duties:

  • Full professor in Telecommunication & Networking Engineering at University “Sapienza” of Rome
  • Teaching graduate courses in Data Communication, Telecommunication Engineering, and Broadband Networking
  • Author of multiple textbooks in the field

🏫 Educational Leadership:

  • Former dean of the Telecommunication Board and member of the Educational Board at University Sapienza of Rome
  • Dean of the Educational Board of the Faculty of Information Engineering, Informatic and Statistic
  • Delegate of the Rector for coordinating the Board for the support of disabled students

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 170 documents indexed in Scopus.
  • 📊 Citations: A total of 3009 citations for his publications, reflecting the widespread impact and recognition of Dr. Enzo Baccarelli’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 4134 📖
    • h-index: 35  📊
    • i10-index: 76 🔍
  • Since 2018:
    • Citations: 1794 📖
    • h-index: 21 📊
    • i10-index: 32 🔍

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

Publication Top Notes:

  1. Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study
    • Authors: E Baccarelli, PGV Naranjo, M Scarpiniti, M Shojafar, JH Abawajy
    • Published Year: 2017
    • Journal: IEEE Access
    • Cited By: 371
  2. Energy-efficient adaptive resource management for real-time vehicular cloud services
    • Authors: M Shojafar, N Cordeschi, E Baccarelli
    • Published Year: 2016
    • Journal: IEEE Transactions on Cloud Computing
    • Cited By: 359
  3. P-SEP: A prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
    • Authors: PGV Naranjo, M Shojafar, H Mostafaei, Z Pooranian, E Baccarelli
    • Published Year: 2017
    • Journal: The Journal of Supercomputing
    • Cited By: 331
  4. Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study
    • Authors: E Baccarelli, N Cordeschi, A Mei, M Panella, M Shojafar, J Stefa
    • Published Year: 2016
    • Journal: IEEE Network
    • Cited By: 234
  5. Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems
    • Authors: E Baccarelli, A Fasano, M Biagi
    • Published Year: 2002
    • Journal: IEEE Transactions on Signal Processing
    • Cited By: 121

 

 

Dr. Meng-Wei Chang | Edge Computing | Best Researcher Award

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Dr. Meng-Wei Chang | Edge Computing | Best Researcher Award

Dr. Meng-Wei Chang, National Taiwan University of Science and Technology, Taiwan

Dr. Meng-Wei Chang is a highly skilled Chief Engineer with a strong background in electrical engineering and computer science. He holds a PhD from the National Taiwan University of Science and Technology and has extensive experience in developing innovative solutions for companies like ADATA Technology, Admiral Overseas Corporation, and Tatung. His expertise lies in RFQ/RFI assessments, hardware and software design, and autonomous mobile robots. Meng-Wei is a published author and holds multiple patents in the field of low power consumption and adaptive dynamic neural network inference. His passion for technology and dedication to delivering cutting-edge products make him a valuable asset to any team.

🌐 Professional Profiles :

Scopus

🎓 Education:

PhD in Electrical Engineering, National Taiwan University of Science and Technology. Undergraduate Coursework: Operating Systems; Databases; Algorithms; Programming Languages; Embedded Systems.

👨‍💻 Experience:

  • Leader Engineer at ADATA Technology: Developed autonomous mobile robot, participated in product prototype showcase, worked with National Taiwan University Hospital, Chunghwa Post, and Taoyuan Aerotropolis.
  • Leader Engineer at Admiral Overseas Corporation: Responsible for brand design, collaborated with units in Taipei, Hsinchu, Xiamen, Fujian, and Shenzhen, involved in US-China trade war assessments and cost reduction developments.
  • Engineer at Tatung: Developed first Android TV set-top box, designed Android streaming multimedia operational framework, provided RFQ/RFI solutions for various companies.

📝 Research & Patents:

Low power consumption and adaptive dynamic neural network inference and data processing flow patent in the Republic of China and USA, with Shun-Feng Su.

🏆 Research Interest :

Dr. Meng-Wei Chang’s research interests include Fog Computing, Edge Computing, Control Systems, and AI Acceleration. He is passionate about exploring innovative solutions in these areas and leveraging them to enhance the performance and efficiency of computing systems. With his expertise in electrical engineering and computer science, Meng-Wei is dedicated to developing novel approaches that harness the power of these technologies to solve real-world problems. 🌐

Publications Top Notes :

  1. Adaptive neural acceleration unit based on heterogeneous multicore hardware architecture FPGA and software-defined hardware
    • Published Year: 2024 (Article in Press)
    • Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A
  2. Real-time multi-fusion perceptron architecture for autonomous drones
    • Published Year: 2022
    • Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A