Dr. Roberto La Rosa | Networking Awards | Best Researcher Award

Dr. Roberto La Rosa | Networking Awards | Best Researcher Award

Dr. Roberto La Rosa, STMicroelectronics, Italy

Dr. Roberto La Rosa is a distinguished Design Manager and Senior Principal IC Mixed-Signal Designer at STMicroelectronics. With over two decades of expertise, he specializes in ultra-low-power integrated circuits, energy harvesting, and efficient transduction systems. His pioneering work includes developing energy-autonomous systems and wireless battery chargers compliant with the Wireless Power Consortium (QI) standard. Dr. La Rosa has authored more than 30 scientific publications and holds over 20 international patents, reflecting his profound contributions to IC design and energy efficiency. His academic and professional journey exemplifies innovation and leadership in the electronics industry.

Professional Profile

Google Scholar
Scopus

Suitability for the Best Researcher Award

Dr. Roberto La Rosa is an ideal candidate for the Best Researcher Award due to his transformative contributions to IC design and energy efficiency. His pioneering work on ultra-low-power circuits and energy-autonomous systems has revolutionized sustainable electronics. His extensive publication record and patent portfolio demonstrate a profound impact on academia and industry. With a career marked by innovation, leadership, and sustainability, Dr. La Rosa exemplifies the qualities of a visionary researcher driving meaningful change in technology.

Education

Dr. La Rosa holds a Master’s Degree in Electronic Engineering, graduating cum laude from the Università degli Studi di Palermo in 1995. His academic journey continued with a Ph.D. in Electrical Engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2019–2022). His doctoral research focused on energy-efficient integrated circuit (IC) design, IoT applications, and electronics, emphasizing sustainable and cutting-edge solutions for modern technological challenges. This robust educational foundation has been pivotal in his groundbreaking contributions to the field of IC design and energy harvesting.

Experience

Dr. La Rosa has been a cornerstone at STMicroelectronics since 2006, serving as a Design Manager and Senior Principal IC Designer. His expertise includes developing ultra-low-power ICs, energy-autonomous systems, and battery-free wireless sensor nodes. His work on wireless battery chargers and energy-efficient systems has led to the successful commercialization of products like STWBC. Earlier in his career, he designed ASIC products for ultrasound medical echography and various IC LED drivers. His leadership roles have encompassed project management, hardware development, and top-level integration, solidifying his reputation as a leader in IC innovation.

Awards and Honors

Dr. La Rosa’s career is adorned with accolades, reflecting his innovation in IC design and energy harvesting. His contributions to wireless battery charging and energy-autonomous systems have earned him industry-wide recognition. With over 20 international patents, his inventive solutions have significantly impacted sustainable electronics. His work has been lauded for its alignment with global sustainability goals, making him a thought leader in the realm of low-power ICs and IoT technologies.

Research Focus

Dr. La Rosa’s research is rooted in developing sustainable technologies through energy harvesting, ultra-low-power IC design, and IoT applications. His work addresses the critical need for energy-efficient systems, focusing on harvesting energy from infrared light and radio frequencies to power devices autonomously. His innovative approaches have paved the way for battery-free wireless sensor nodes and energy-efficient transduction systems, ensuring a greener and more connected future.

Publication Top Notes

  • Strategies and Techniques for Powering Wireless Sensor Nodes Through Energy Harvesting and Wireless Power Transfer
    • Year: 2019
    • Citations: 123
  • An Energy-Autonomous Wireless Sensor with Simultaneous Energy Harvesting and Ambient Light Sensing
    • Year: 2021
    • Citations: 45
  • A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring
    • Year: 2021
    • Citations: 27
  • Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized Through RF Wireless Power Transfer
    • Year: 2020
    • Citations: 24
  • A Battery-Free Wireless Smart Sensor Platform with Bluetooth Low Energy Connectivity for Smart Agriculture
    • Year: 2022
    • Citations: 20

 

Dr. Dipali Shende | Multicast Routing Award | Best Researcher Award

Dr. Dipali Shende | Multicast Routing Award | Best Researcher Award

Dr. Dipali Shende, PCCOER,Ravet, India

👩‍🎓 Dr. Dipali K. Shende, Ph.D., is an accomplished educator with a background in E & TC Engineering. She earned her Ph.D. from Savitribai Phule Pune University in 2023, specializing in the field. With nearly 17 years of teaching experience, she currently serves as an Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Ravet, since August 2022. Dr. Shende has garnered recognition for her dedication to education, receiving awards such as the Best Teacher Award at PCCOER, Ravet, the International Adroit Teacher Award, and the Innovative Technologist & Dedicated Teaching Professional Award. 🏫🏆

Professional Profile:

Scopus

Google Scholar

👩‍🎓 Education:

Dr. Dipali K. Shende holds a Ph.D. in E & TC Engineering from Savitribai Phule Pune University, awarded in 2023. She completed her M.E. in E & TC Engineering with a specialization in VLSI-Embedded in 2011, and her B.Tech in E & TC Engineering with distinction in 2003 from Dr. Babasaheb Ambedkar Marathwada University.

🏫 Teaching Experience:

With 16 years and 11 months of teaching experience, Dr. Shende has served as an Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Ravet, since August 2022. She previously held positions at Sinhgad Institute of Technology Lonavala and Hi-Tech College of Engineering.

🏆 Awards:

Dr. Shende has received numerous awards recognizing her contributions to education, including the Best Teacher Award at PCCOER, Ravet, the International Adroit Teacher Award, and the Innovative Technologist & Dedicated Teaching Professional Award.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 06 documents indexed in Scopus.
  • 📊 Citations: A total of 67 citations for his publications, reflecting the widespread impact and recognition of Dr. Dipali Shende’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 148 📖
    • h-index: 06  📊
    • i10-index: 06 🔍
  • Since 2018:
    • Citations: 146 📖
    • h-index: 06 📊
    • i10-index: 06 🔍

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

Publications Top Notes :

  1. CrowWhale-ETR: CrowWhale optimization algorithm for energy and trust aware multicast routing in WSN for IoT applications
    • Published in Wireless Networks in 2020.
    • Cited by 64 articles.
  2. A Comprehensive Survey of the Routing Schemes for IoT applications
    • Published in Scalable Computing: Practice and Experience in 2020.
    • Cited by 21 articles.
  3. IoT Based Geographic Multicast Routing Protocol with DPA through WSN
    • Published in International Journal of Creative Research Thoughts in 2018.
    • Cited by 14 articles.
  4. Dementia patient activity monitoring and fall detection using IoT for elderly
    • Published in International Journal of Trend in Scientific Research and Development in 2019.
    • Cited by 12 articles.
  5. An iterative CrowWhale-based optimization model for energy-aware multicast routing in IoT
    • Published in International Journal of Information Security and Privacy (IJISP) in 2022.
    • Cited by 11 articles.

 

 

 

 

 

Dr. Imran Iqbal | Network Protocols, Technology and Communication

Dr. Imran Iqbal : Leading Researcher in Network Protocols, Technology and Communication

Dr. Imran Iqbal, Helmholtz-Zentrum Hereon, Germany

Congratulations, Dr. Imran Iqbal, on winning the esteemed Best Researcher Award from ScienceFather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

Dr. Imran Iqbal, seamlessly integrates diverse academic achievements and professional experiences, demonstrating expertise in applied mathematics, deep learning, and scientific computing. Her current research at Helmholtz-Zentrum Hereon reflects a commitment to advancing knowledge in the dynamic field of stem cell-biomaterial interaction. A dedicated researcher with a track record of academic excellence and real-world contributions.

Professional Profiles:

.   Google Scholar

.   ORCID

.   LinkedIn 

.   GitHub

 

🎓 Education:
  1. Master of Science in Mathematical Modeling and Scientific Computing 🎓✨
    • Faculty of Basic and Applied Sciences
    • Air University, Islamabad, Pakistan
  2. Master of Information Technology 🖥️🌐
    • Department of Computer Sciences
    • Isra University, Hyderabad, Pakistan
  3. Bachelor of Computer and Information Technology 🎓 🖥️
    • Department of Computer Sciences
    • University of Sindh, Jamshoro, Pakistan
Awards and Honors: 🏆
  1. China Scholarship Council (CSC)
    • Award: CSC for PhD Program
    • Duration: Sep 2016 – Jul 2021
    • Date: July 2016
  2. Peking University International Students Excellence Award 2020
    • Award: Excellence Award
    • Date: Dec 2020
  3. Ministry of Education Award for Outstanding International Students 2020 in China
    • Award: Outstanding International Student Award
    • Date: Dec 2020
  4. Innovation Information Biologisation (I2B) Funds for Postdoc Project
    • Award: I2B Funds
    • Duration: Sep 2021 – Jan 2024
  5. Helmholtz Information and Data Science Academy Trainee Network
    • Grant: Helmholtz Visiting Researcher Grant
    • Duration: 2022-23
    • Date: June 2022

Your achievements reflect your dedication and excellence in your academic and research endeavors. Best of luck in your future endeavors! 🌟

Research Interests: 🌐📚🔍
  1. Computer Vision, Pattern Recognition, Image Processing 🌐‍🔍
  2. Machine Learning, Deep Learning, Convolutional Neural Networks📚🧠
  3. Classification and Segmentation of lesions/abnormalities in Medical Images🩺🔬

Your focus on applying advanced technologies like machine learning and deep learning to medical image analysis is crucial for improving diagnostics and healthcare outcomes. Best of luck with your research journey! 🚀

Journal Reviewer:
  • Applied Artificial Intelligence Journal
    • Duration: Aug 2020 – July 2021 📝📰
  • Artificial Intelligence Review, Springer; Journal of Ambient Intelligence and Humanized Computing, Springer; Computer Methods and Programs in Biomedicine, Elsevier; Applied Computing and Informatics, Emerald; IEEE Access, IEEE; World Journal of Gastroenterology, Baishideng; World Journal of Gastrointestinal Oncology, Baishideng; PLOS ONE, Public Library of Science; Biomedical Physics & Engineering Express, IOPscience; Physics in Medicine and Biology, IOPscience; Engineering Research Express, IOPscience. 📚👩‍💻
Conference Reviewer:
  • The 10th and 12th International Conference on Biomedical Engineering and Biotechnology
    • Date: 15–18 Nov 2021, Suzhou, China; 17–20 Nov 2023, Macao, China  🩺🔬
  • The 5th International Conference on Machine Learning and Intelligent Systems
    • Date: 14 – 17 Aug 2023, Belgrade, Serbia  📊🧠
  • The 8th International Conference on New Energy and Future Energy Systems
    • Date: 21 – 24 Nov 2023, Matsue, Japan  🌏🌱

Your contributions to the peer review process in journals and conferences demonstrate your active involvement in shaping and maintaining the quality of academic content. Kudos to your dedication! 🌟👏

Google Scholar Metrics:  🌐

All Time:

  • Citations: 242 📚
  • h-index: 8 📊
  • i10-index: 5 🔢

Since 2018:

  • Citations: 241 📖
  • h-index: 8 📈
  • i10-index: 5 🔍

These metrics highlight the reach and influence of your scholarly work. Keep up the excellent contribution to the academic community! 🌐👩‍🎓

Publications ( Top Note ) :

1.   Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

.  Published in Intelligent Systems with Applications in  2021 with 90 citations.

2.   A review on polysaccharides from Artemisia sphaerocephala Krasch seeds, their extraction, modification, structure, and applications

.  Published in Carbohydrate Polymers in 2021 with 44 citations.

3.   Deep learning-based morphological classification of human sperm heads

.  Published in Diagnostics in 2020 with 32 citations.

4.   Synthesis of bimetallic nanoparticles loaded on to PNIPAM hybrid microgel and their catalytic activity

.  Published in Scientific Reports in 2018 with 21 citations.

5.   Deep learning‐based automated detection of human knee joint’s synovial fluid from magnetic resonance images with transfer learning

.  Published in IET Image Processing in 2020 with 11 citations.

6.   Reduction of threading dislocations in GaN grown on patterned sapphire substrate masked with serpentine channel

.  Published in Materials Science in Semiconductor Processing in 2021 with 9 citations.

7.   Comparative investigation of learning algorithms for image classification with small dataset

.  Published in Applied Artificial Intelligence in 2021 with 9 citations.