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

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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. Venkata Lakshmi S | AI in Networking | Women Researcher Award

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Dr. Venkata Lakshmi S | AI in Networking | Women Researcher Award

Dr. Venkata Lakshmi S, Sri Krishna College of Engineering and Technology, India

Dr. Venkata Lakshmi S, a seasoned professional with 20 years of experience, currently serves as the Professor and Head of the Department of Artificial Intelligence and Data Science at Sri Krishna College of Engineering and Technology, Coimbatore. Holding a Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University, she has contributed significantly to academia with roles such as Assistant Professor and Head of the Department in esteemed institutions. Dr. Venkata Lakshmi has a diverse portfolio of subjects she has taught, including Data Warehousing, Cryptography, Wireless Sensor Networks, and more. Her research interests span machine learning, image processing, and AI applications in diverse fields. She has guided numerous impactful projects, ranging from agricultural crop yield prediction to breast cancer detection using advanced technologies. Apart from her academic prowess, Dr. Venkata Lakshmi actively engages with industry through MOUs, internships, and campus connect lectures. Her commitment to quality education is evident through her roles as a mentor, evaluator, and active involvement in various academic committees and initiatives.

🌐 Professional Profiles :

Google Scholar

📚 Education:

  • Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University (2011-2018)
  • M.E. in Computer Science and Engineering from Dr.MGR Deemed University, Chennai (2003-2005)
  • B.E. in Computer Science and Engineering from The Indian Engineering College, Manonmaniam Sundaranar University, Tirunelveli (1995-1999)

👩‍💼 Professional Experience:

  • Professor and Head of the Department at Sri Krishna College of Engineering and Technology, Coimbatore (July 2020 – Present)
  • Assistant Professor Grade I at Panimalar Institute of Technology, Chennai (May 2014 – April 2020)
  • Assistant Professor at Vel Tech Dr.RR & Dr.SR Technical University, Chennai (January 2006 – May 2013)
  • Lecturer at various esteemed institutions from 1999 to 2006

🔍 Projects:

  • Voice and Video Conferencing Security
  • Agricultural Crop Yield Prediction
  • Bitcoin Prognosis
  • Secure Visual Authentication using QR Code

🎓 Guided Projects:

  • Machine Learning for Agricultural Crop Yield Prediction
  • Linear Support Vector Machine for Chronic Kidney Disease
  • Sentiment Analysis using Contextual Based Approaches

📜 Certifications:

  • “A Crash Course in Data Science” – Coursera
  • “Data Science for Engineers” – NPTEL
  • “Data Warehousing and Business Intelligence” – Coursera
  • “AI for Everyone” – Coursera
  • “Oracle Cloud Infrastructure Foundations 2021 certified Associate” – Oracle

💻 Programming Languages:

  • C, C++
  • VB, .NET, MS-Access, SQL Server

🤝 Industry Interaction:

  • MoU with Payoda
  • Internships for students with Payoda and DeepVisionTech.AI
  • Campus Connect Lectures with DeepVisionTech.AI

🌐 Additional Responsibilities:

  • Social and Media Coordinator for Toycathon
  • Chief Editor of Magazine BUZZ
  • Incharge of NAAC criteria 3
  • Question Paper Setter for premier institutions
  • Coordinator for various committees, including ECell and Quality Improvement Cell

🌟 Achievements:

  • Recognized as a mentor and expert in various national initiatives
  • Actively involved in enhancing student learning experiences through industry collaborations and innovative projects.

Publications Top Notes  :

  1. “A Review study of E-waste management in India”
  2. “Query optimization using clustering and genetic algorithm for distributed databases”
  3. “Combined effect of biopriming and polymer coating on chemical constituents of root exudation in chilli (Capsicum annuum L.) cv. K 2 seedlings”
  4. “Micropropagation and in vitro flowering of an ornamental aquarium plant Lindernia antipoda (L.) Alston”
  5. “Sinonasal schwannoma with secondary changes”

 

 

 

 

 

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