Dr. Haitham Adarbah | AI in Network Awards | Best Researcher Award

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Dr. Haitham Adarbah | AI in Network Awards | Best Researcher Award

Dr. Haitham Adarbah, Texas A&M University, United States

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He holds a Ph.D. in Wireless Networks from De Montfort University, UK, an M.Sc. in Computer Science from Amman Arab University, and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan. Dr. Adarbah’s research includes enhancing connectivity for autonomous vehicles and has previously explored vehicular networks, 5G, IoT, cloud computing, and AI as an IT Lecturer at Gulf College, Muscat. His significant publications address efficient broadcasting in mobile ad-hoc networks and security improvements in network protocols. With extensive teaching experience, he has mentored students and contributed to curriculum development in Computer Science.

🌍 Professional Profile:

Orcid
Google Scholar

Suitability for the Best Researcher Award

  1. Innovative Research: Dr. Adarbah’s research in advanced areas like 5G-6G connectivity, AI algorithms, and vehicular networks represents cutting-edge work in Computer Science. His focus on optimizing communication protocols and enhancing network performance is highly relevant and impactful.
  2. Publication Record: His publications in reputable journals and conferences reflect a strong research output and influence. The citations of his work indicate that his research is recognized and valued within the academic community.
  3. Cross-Disciplinary Contributions: Dr. Adarbah’s ability to integrate AI with wireless network technologies and his contributions to both theoretical and applied aspects of network research highlight his versatility and expertise in the field.
  4. Teaching and Mentorship: His long-standing teaching experience and dedication to mentoring students demonstrate his commitment to academic excellence and the development of future researchers.
  5. Professional Development: His role in preparing grant proposals and collaborating with industry partners underscores his active engagement in advancing research and securing funding.

🎓 Education:

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He earned his PhD in Wireless Networks from De Montfort University, UK, with research on bandwidth and energy-efficient route discovery. He also holds an M.Sc. in Computer Science from Amman Arab University and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan.

📚 Academic and Research Experience:

Currently, Dr. Adarbah engages in cutting-edge research on enhancing connectivity for autonomous vehicles at Texas A&M University. His previous role as an IT Lecturer at Gulf College, Muscat, involved teaching and researching in areas such as vehicular networks, 5G, IoT, cloud computing, and AI.

📝 Research Achievements:

Dr. Adarbah’s notable publications include works on efficient broadcasting in mobile ad-hoc networks, the impact of carrier sensing on route discovery, and security improvements in network protocols. His research interests span route discovery mechanisms, noise impact in broadcasting, vehicular networks, and AI applications in wireless technologies.

👨‍🏫 Teaching and Mentorship:

With extensive teaching experience, Dr. Adarbah has mentored students in research and contributed to curriculum design and development across a range of Computer Science subjects.

Publication Top Notes:

  • Title: Efficient Broadcasting for Route Discovery in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 14
  • Title: Impact of Physical and Virtual Carrier Sensing on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2013
    • Citations: 12
  • Title: Impact of Noise and Interference on Probabilistic Broadcast Schemes in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 10
  • Title: Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security
    • Year: 2022
    • Citations: 6
  • Title: Impact of the Noise Level on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2012
    • Citations: 5

 

 

 

 

 

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award -2888

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Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award

Ms. Amruta Chougule, Dr. D. Y. Patil Institute of Technology, Pune, India

🌟 Dr. Amruta Chougule is a distinguished AI researcher and educator with a PhD in Deep Learning and an MTech in Embedded Systems. Her academic journey includes a BE in Electronics and a DE in Electronics & Telecommunications, highlighting her strong foundation in technology. As an Assistant Professor at D.Y. Patil College of Engineering and Technology since October 2021, she is renowned for her expertise in AI and ML course development, student mentorship, and driving impactful research initiatives. Previously, as a Senior Software Engineer at Spring Source Technologies, Bangalore, from June 2019 to August 2021, Amruta led pioneering projects in NLP and object detection, leveraging advanced ML algorithms to enhance customer interactions and prevent fraud. Her commitment to advancing AI’s frontiers is underscored by her active participation in conferences and workshops, reflecting her dedication to innovation and excellence in the field. 🖥️

🌐 Professional Profile:

ORCID
Scopus

🎓 Education

Amruta Chougule holds a PhD in Deep Learning, completed in 2021, and an MTech in Embedded Systems from Savitribai Phule Pune University and VIT University Chennai, respectively. She earned her BE in Electronics from Bharat Vidyapeeth College of Engineering, Kolhapur, and a DE in Electronics & Telecommunications from D.Y. Patil Polytechnic.

🌟 Experience

As an accomplished AI Software Engineer and Analyst, Amruta has led groundbreaking research in Artificial Intelligence and Deep Learning. Her expertise spans analysis, design, development, and implementation of cutting-edge AI solutions, collaborating effectively across teams to achieve project excellence.

👩‍🏫 Assistant Professor

Since October 2021, Amruta has served as an Assistant Professor at D.Y. Patil College of Engineering and Technology, Kolhapur. She excels in designing comprehensive AI and ML courses, mentoring students, and guiding impactful research initiatives. Her commitment to advancing AI’s frontiers is evident through her active participation in conferences and workshops.

🖥️ Senior Software Engineer

From June 2019 to August 2021, Amruta worked as a Senior Software Engineer at Spring Source Technologies, Bangalore. There, she spearheaded the development of innovative NLP solutions and object detection systems, leveraging advanced ML algorithms to enhance customer services and detect fraudulent transactions.

📈 Achievements

Amruta led the development of predictive software for business forecasting, applying sophisticated statistical analysis and ML techniques. Her leadership and technical acumen have significantly contributed to the success of various projects, reflecting her dedication to pushing the boundaries of AI in practical applications.

Publication Top Notes:

  • Custom CNN-BiLSTM model for video captioning
    • Published in Multimedia Tools and Applications, 2024
  • Unveiling the Power of Transfer Learning: A Comparative Analysis of Video Features in Captioning Task
    • Presented at a conference, 2023
  • IoT Based Smart Car Monitoring System
    • Presented at the Tenth International Conference on Advanced Computing (ICoAC), 2018

 

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

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Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

👩‍🎓 Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. 🏆🔍📚

🌐 Professional Profiles :

Scopus

Google Scholar

🎓 Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

👩‍💼 Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

🏆 Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

🔬 Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

📚 Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 45 documents indexed in Scopus.
  • 📊 Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 📖
    • h-index: 15  📊
    • i10-index: 18 🔍
  • Since 2018:
    • Citations: 899 📖
    • h-index: 15 📊
    • i10-index: 18 🔍

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

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.