Mr. Alessandro Ottino | Cloud Networking

Mr. Alessandro Ottino : Leading Researcher in Cloud Networking

Mr. Alessandro Ottino, University College London, United Kingdom

🎓 Mr. Alessandro Ottino, Currently pursuing a Microsoft-funded Ph.D. at University College London (UCL) in optical systems and technologies for distributed deep learning. Focused on developing innovative optical topologies and technologies to enable effective training of large-scale deep neural networks with over 1 trillion parameters across thousands of accelerators in data centers.

💼 Previously worked as a Post-graduate Teaching Assistant (PGTA) at UCL’s Electrical and Electronic Engineering (EEE) department from January to March 2020-2021. Engaged in teaching undergraduate modules in digital design (FPGA and embedded systems programming), Java, Object-Oriented Programming, and served as a guest lecturer in “Networks and Technologies for Distributed Deep Learning (DDL)” for the “Cloud and Edge Computing” MSc course.

💻 Proficient in various software tools including Vivado, Quartus, Modelsim, Multisim, Lumerical, Alteryx, Tableau, and the Microsoft Office Suite. Passionate about pushing the boundaries of optical systems to enhance the capabilities of deep learning in distributed environments. 🌐🔬

Professional Profiles : 🌐

Scopus

Linkedin

Google Scholar

🏆 Awards : 

🏆 In March 2020, He was honored with the IEEE Best Undergraduate Project in Telecommunications for showcasing excellence and innovation in the field. This recognition underscored her dedication to pushing the boundaries of technology.

🎓 August 2019 brought the prestigious Dean’s List acknowledgment for outstanding academic achievements in the Electrical and Electronic Engineering (EEE) department at UCL. This recognition reflected her commitment to academic excellence and contributions to the field.

🏅 In May 2019, He was awarded the First Cullen Prize for the Best Undergraduate Project in the EEE department at UCL. The project, focusing on “Artificial Intelligence Techniques for FPGA-Driven Interconnects,” highlighted her proficiency in integrating AI with hardware solutions.

🔍 Research Focus:

🌐 Distributed Systems

🌍 Optical Networks

🔬 Machine Learning

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 12 documents indexed in Scopus.
  • 📊 Citations: A total of 19 citations for his publications, reflecting the widespread impact and recognition of Mr. Alessandro Ottino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 44 📖
    • h-index: 4 📊
    • i10-index: 1 🔍
  • Since 2018:
    • Citations: 44 📖
    • h-index: 4 📊
    • i10-index: 4 🔍

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

Publications ( Top Note ) :

1.  Time-domain learned digital back-propagation

Journal/Conference: 2020 IEEE Workshop on Signal Processing Systems (SiPS)

Published Year: 2020, Cited By: 10

2.  Optimization of 125-m Heterogeneous Multi-Core Fibre Design Using Artificial Intelligence

Journal/Conference: IEEE Journal of Selected Topics in Quantum Electronics

Published Year: 2021, Cited By: 8

3.  Traffic tolerance of nanosecond scheduling on optical circuit switched data center network

Journal/Conference: 2022 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year:2022,  Cited By: 6

4.  Design optimization of uncoupled six-core fibers in standard cladding diameter using artificial intelligence

Journal/Conference: Optical Fiber Communication Conference

Published Year: 2021, Cited By: 4

5.  RAMP: a flat nanosecond optical network and MPI operations for distributed deep learning systems

Journal/Conference: Optical Switching and Networking

Published Year: 2024,Cited By: 3

6.  Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter

Journal/Conference: Optics Express

Published Year: 2022,Cited By: 3

7.  Experimental demonstration of learned time-domain digital back-propagation

Journal/Conference: arXiv preprint arXiv:1912.12197

Published Year: 2019,Cited By: 3

8.  Optimal and Low Complexity Control of SOA-Based Optical Switching with Particle Swarm Optimisation

Journal/Conference: European Conference and Exhibition on Optical Communication

Published Year: 2022,Cited By: 2

9.  Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

Journal/Conference: arXiv preprint arXiv:2008.08034

Published Year: 2020,Cited By: 2

10.  Genetic algorithm optimization of multi-core fibre transmission links based on silicon photonic transceivers

Journal/Conference: 2019 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year: 2019, Cited By: 2

 

 

 

 

Dr. Luiz Oliveira | Energy-Efficient Networking

Dr. Luiz Oliveira : Leading Researcher in Energy-Efficient Networking

Dr. Luiz Oliveira, University of Campinas – Unicamp, Brazil

🎉 Congratulations, Dr. Luiz Oliveira! 

🏆 On behalf of ScienceFather, we celebrate your remarkable achievement in winning the prestigious Best Researcher Award! Your dedication, innovative research, and scholarly contributions have left an indelible mark in your field. 🌟 Your commitment to advancing knowledge and pushing the boundaries of research is truly commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

🎓 Graduated with Academic Merit in Electronic Engineering from Federal University of Technology of Paraná (UTFPR, 2017). 👨‍🎓 Holds an M.Sc. degree in Electrical and Computer Engineering with a specialization in Autonomous Systems from the School of Engineering, Polytechnic Institute of Porto (ISEP-IPP, 2017). 👨‍🎓 Achieved M.Sc. and Ph.D. degrees in Electrical Engineering with a specialization in Electronics, Microelectronics, and Optoelectronics from the University of Campinas (Unicamp) in 2020 and 2023, respectively.

Professional Profiles:

.   Google Scholar

.   ORCID

.   Scopus

🎓 Education :

🎓 Ph.D. in Electrical Engineering (2021 – 2023)

  • University: Universidade Estadual de Campinas, UNICAMP, Brazil.
  • Year of Degree: 2023.
  • Advisor: Leandro Tiago Manera.
  • Funding: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil.
  • Keywords: Energy Harvesting, Internet of Things, Sensors, Smart City.
  • Major Area: Engineering.
  • Activities Sectors: Scientific research and development.

🎓 Master’s in Electrical Engineering (2018 – 2020)

  • University: Universidade Estadual de Campinas, UNICAMP, Brazil.
  • Year of Degree: 2020.
  • Advisor: Leandro Tiago Manera.
  • Funding: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil.
  • Keywords: Smart Traffic Light, Wireless Communication, Smart Urban Mobility, Smart City, Internet of Things.
  • Major Area: Engineering.
  • Specialty: Electronic Circuits.
  • Activities Sectors: Scientific research and development.

🎓 Master’s in Electrical and Computer Engineering – Autonomous Systems (2015 – 2016)

  • Institute: Instituto Superior de Engenharia do Porto, ISEP, Portugal.
  • Year of Degree: 2017.
  • Advisor: Manuel Fernando dos Santos Silva.
  • Keywords: Legged Robots, Hexapods, SimMechanics, Modeling, Simulation, Locomotion.
  • Major Area: Engineering.
  • Activities Sectors: Scientific research and development.

🌐 Demonstrates a rich academic journey, contributing significantly to scientific research and development in the fields of Electrical Engineering, Autonomous Systems, and Smart City technologies.

🔬 Research Interests:

  • 🌐 Sensor Electronic Circuits
  • 🕹️ Microcontroller Systems
  • 🧠 Smart Devices
  • 📡 Wireless Sensor Networks
  • 🌐 Internet of Things (IoT)
  • 🏙️ Smart Cities
  • 🤖 Robotics
  • 🦵 Legged Robots
  • 🤖 Hexapod Robots

🌐 Passionate about advancing technology and exploring innovations at the intersection of electronics, connectivity, and robotics to shape the future of smart and interconnected systems.

🔍 Research Projects Overview:

  1. Desenvolvimento de um sistema de telegestão de iluminação pública (2022 – 2022)
    • Description: IoT-based public lighting remote management system integrating IoT networks with 4G/5G.
    • Situation: Concluded; Nature: Research.
    • Participants: Luiz Fernando Pinto de Oliveira (Participant), Hiuri Santana de Noronha (Participant), Gleidson Fontana (Coordinator).
  2. Compatibilidade eletromagnética veicular (2022 – Present)
    • Description: Research on intelligent shielding with metamaterials for automotive EMC and integration of a vehicular EMC center.
    • Situation: In Progress; Nature: Research.
    • Participants: Luiz Fernando Pinto de Oliveira (Coordinator), Marcelo Gradella Villalva (Participant).
  3. iMachine wireless: sistema de manutenção preditiva online em máquinas elétricas (2021 – 2022)
    • Description: Development of a wireless predictive maintenance system for electric machines using fuzzy logic, vibration, and temperature sensors.
    • Situation: Concluded; Nature: Research.
    • Participants: Luiz Fernando Pinto de Oliveira (Participant), Samarone Ruas (Coordinator), and others.

📚 Ongoing Achievements:

  • Successful completion of the IoT public lighting project, showcasing integration with 4G/5G networks.
  • Advancements in automotive EMC with research on intelligent shielding using metamaterials.
  • Innovation in predictive maintenance through the iMachine wireless system for industrial equipment.

🛠️ Current Endeavors:

  • Continuing research on automotive EMC, focusing on embedded electronic systems and electromagnetic compatibility.
  • Ongoing development and analysis of the iMachine wireless system, aiming for enhanced predictive maintenance capabilities.
  • Exploration of energy harvesting technologies for sustainable sensor networks.

🌟 Contributions and Recognition:

  • Active involvement in impactful projects funded by the São Paulo Research Foundation (FAPESP).
  • Collaboration with a diverse team of scholars, contributing to the advancement of scientific research.

🎓 Educational Impact:

  • Supervision and coordination of Master’s and Ph.D. students in cutting-edge research areas.

🤖 Innovation and Sustainability:

  • Pioneering the development of autoalimentada wireless sensor networks, eliminating the need for battery replacements.
  • Leveraging IoT and 4G/5G integration for efficient public lighting management.

🌐 Networking and Collaborations:

  • Engaging with industry professionals, scholars, and students for collaborative advancements in electrical engineering.

🏆 Recognition and Sponsorship:

  • Acknowledged and supported by the São Paulo Research Foundation (FAPESP) for impactful and ongoing research initiatives.

📈 Continuous Growth:

  • Positioned for continuous growth and contributions to the fields of EMC, IoT, and predictive maintenance.

🌍 Global Impact:

  • Expanding the horizons of research to address global challenges in smart city technologies and sustainable engineering.
📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 7 documents indexed in Scopus.
  • 📊 Citations: A total of 217 citations for his publications, reflecting the widespread impact and recognition of Dr. Luiz Oliveira’s research within the academic community.

Google Scholar Metrics:

All Time:

  • Citations: 383 📖
  • h-index: 7 📊
  • i10-index: 6 🔍

Since 2018:

  • Citations: 373 📖
  • h-index: 6 📊
  • i10-index: 6 🔍

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

Publications ( Top Note ) :

1.  Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead

Published Year: 2021, Cited By: 182

2.  Development of a Smart Traffic Light Control System with Real-Time Monitoring

Published Year: 2021, Cited By: 57

3.  Advances in Forest Robotics: A State-of-the-Art Survey

Published Year: 2021, Cited By: 52

4.  Smart traffic light controller system

Published Year: 2019, Cited By: 21

5.  Modeling, simulation and analysis of locomotion patterns for hexapod robots

Published Year: 2018, Cited By: 17

6.  Agricultural Robotics: A State of the Art Survey

Published Year: 2020, Cited By: 16

7.  Modelação, simulação e implementação de padrões de locomoção para robôs hexápodes

Published Year: 2016, Cited By: 7

8.  Modeling, Simulation and Implementation of Locomotion Patterns for Hexapod Robots

Published Year: 2020, Cited By: 5

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Network Protocols, Technology and Communication .