Prof Dr. Cornelia Vasile | Network Evaluation | Best Researcher Award

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Prof Dr. Cornelia Vasacsile | Network Evaluation | Best Researcher Award

Prof Dr. Cornelia Vasile, “P.Poni” Institute of Macromolecular Chemistry, Romania

Dr. Cornelia Vasile is a distinguished chemist and educator with a prolific career spanning over five decades. Her contributions to physical chemistry, particularly in polymer science, have earned her numerous accolades, including prestigious awards from the Romanian Academy and multiple medals at international symposia. As an esteemed professor and researcher, Dr. Vasile has mentored numerous MSc and PhD students, leaving a lasting impact on the scientific community through her dedication to education and innovative research. Her legacy is marked by her pioneering work in the characterization and recovery of polymers, as well as her commitment to advancing scientific knowledge across borders.

Professional Profile:

Orcid

🎓 Educational Background

Ph.D. in Physical Chemistry of Polymers
Institute of Macromolecular Chemistry, Iasi, RO
1965-11-20 to 2014-07-23
Cornelia Vasile completed her Ph.D. at the Institute of Macromolecular Chemistry, where she developed a deep expertise in the physical chemistry of polymers.

🏢 Professional Experience

Senior Researcher (Physical Chemistry of Polymers)
Institute of Macromolecular Chemistry, Iasi, RO
1966-11-20 to 2014
Cornelia Vasile served as a senior researcher at the Institute of Macromolecular Chemistry, where she made significant contributions to the field of polymer chemistry over nearly five decades.

🏆 Distinctions and Awards

N. Teclu Romanian Academy Prix (Chemical Section)
Romanian Academy, Bucharest, RO
1969-11-15
Cornelia Vasile was honored with the N. Teclu Romanian Academy Prix in the Chemical Section, recognizing her outstanding contributions to chemical research.

🌟 Professional Highlights

Cornelia Vasile’s career is marked by her dedication to advancing the understanding of polymer chemistry. Her work at the Institute of Macromolecular Chemistry and her recognition by the Romanian Academy underscore her impact in the field. Her legacy is one of profound scientific inquiry and remarkable achievements in physical chemistry.

Publication Top Notes:

  • Biocompatible Materials Based on Plasticized Poly(lactic acid), Chitosan and Rosemary Ethanolic Extract I. Effect of Chitosan on the Properties of Plasticized Poly(lactic acid) Materials
    • Year: 2019-05
  • Chitosan-Based Bionanocomposite Films Prepared by Emulsion Technique for Food Preservation
    • Year: 2019-01
  • Antioxidant/Antibacterial Electrospun Nanocoatings Applied onto PLA Films
    • Year: 2018-10
  • Evaluation of the Rosemary Extract Effect on the Properties of Polylactic Acid-Based Materials
    • Year: 2018-09
  • Polymeric Nanocomposites and Nanocoatings for Food Packaging: A Review
    • Year: 2018-09

 

 

 

 

Mr. Anil Gankotiya | Networking Award | Wireless Communication Innovator Award

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Mr.Anil Gankotiya | Networking Award | Wireless Communication Innovator Award

Mr. Anil Gankotiya, Galgotias University, India

Anil Kr. Gankotiya is an Assistant Professor at the School of Computing Science & Engineering, Galgotias University, with a rich academic background spanning over twelve years. Prior to his current position, he served as a Senior Faculty in the IT Vertical at iNurture Education Solutions Pvt. Ltd. and as an Assistant Professor at Raj Kumar Goel Institute of Technology & Management. He holds a Ph.D. pursuit in Computer Science & Engineering from Uttarakhand Technical University, along with an M.E. from PEC University of Technology and a B.E. from Kumaon Engineering College. Anil is an accomplished author with a published technical book and several patents to his credit. He is an active member of IEEE and ACM and has received numerous accolades, including GATE qualification four times. Anil’s research interests lie in areas such as big data analytics, machine learning, and cybersecurity, as evidenced by his publications in esteemed journals and presentations at international conferences.

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

Anil Kr. Gankotiya is a driven scholar currently pursuing his Ph.D. in Computer Science & Engineering at Uttarakhand Technical University, Dehradun, India. His academic journey began with a Master’s degree in Computer Science & Engineering from PEC University of Technology, Chandigarh, India, where he honed his skills and deepened his understanding of the field. Prior to his postgraduate studies, he completed his Bachelor’s degree in Computer Science & Engineering from Kumaon Engineering College, Dwarahat, India, laying the foundation for his academic and professional pursuits. This progressive academic trajectory reflects his commitment to continuous learning and advancement in the field of computer science and engineering.

💼 Experience:

Anil Kr. Gankotiya has amassed a wealth of experience in academia and educational leadership throughout his career. He served as an Assistant Professor at Raj Kumar Goel Institute of Technology & Management (formerly RKGITW) in Ghaziabad, India, for over a decade, from 2010 to 2022. During his tenure, he demonstrated exceptional leadership skills by assuming the role of Head of Department for eight years, overseeing academic initiatives and fostering a conducive learning environment. Additionally, he played a pivotal role as the Coordinator of the National Innovation and Startup Policy (NISP) for two years, contributing to the promotion of innovation and entrepreneurship within the institution. Following his tenure at RKGITM, Anil transitioned to iNurture Education Solutions Pvt. Ltd. in Bangalore, India, where he served as a Senior Faculty member from 2022 to 2023, further enriching his pedagogical expertise and contributing to the education sector. This diverse experience underscores his dedication to academic excellence and leadership in higher education.

🏆 Achievements:

Anil Kr. Gankotiya has achieved notable milestones throughout his career, reflecting his dedication and expertise in the field of computer science and engineering. His exceptional academic prowess is evident from his accomplishment of qualifying the Graduate Aptitude Test in Engineering (GATE) a remarkable four times, demonstrating his strong foundation and proficiency in the subject matter. In recognition of his outstanding leadership and contributions to academic excellence, he was honored with a Certificate of Appreciation during his tenure as Head of Department, underscoring his commitment to fostering a culture of learning and achievement. Furthermore, Anil has made significant contributions to the field through his publication of a technical book titled “Fundamentals of Big Data Analytics,” which showcases his expertise and insights in this rapidly evolving domain. These accolades reflect Anil’s passion for advancing knowledge and his dedication to excellence in academia and research.

Publication Top Notes:

  1. A comparative study of moodle with other e-learning systems
    • Authors: S. Kumar, AK Gankotiya, K Dutta
    • Conference: 2011 3rd International Conference on Electronics Computer Technology
    • Published Year: 2011
  2. An investigation of wireless sensor network: A distributed approach in smart environment
    • Authors: S. Singhal, AK Gankotiya, S Agarwal, T Verma
    • Conference: 2012 Second International Conference on Advanced Computing & Communication
    • Published Year: 2012
  3. Denial of service attacks and detection methods in wireless mesh networks
    • Authors: S. Seth, A Gankotiya
    • Conference: 2010 International Conference on Recent Trends in Information
    • Published Year: 2010
  4. A comparative study between wireless local area networks and wireless mesh networks
    • Authors: S. Seth, A Gankotiya, A Jindal
    • Conference: 2010 Second International Conference on Computer Engineering and
    • Published Year: 2010
  5. Current state of art research issues and challenges in wireless mesh networks
    • Authors: S. Seth, A Gankotiya, A Jindal
    • Conference: 2010 Second International Conference on Computer Engineering and
    • Published Year: 2010

 

 

Mr. Alessandro Ottino | Cloud Networking

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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