Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

Dr. Sridhar Patthi , Marri Laxman Reddy Institute of Technology and Management , India

Dr. Patthi Sridhar is a seasoned academic and researcher currently serving as Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. With a Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, his expertise spans across various disciplines including image detection, deep learning for image processing, self-supervised learning, and anomaly detection. He has a rich educational background, holding a Master of Technology in both Computer Science and Engineering from GIET University, Odisha, and in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh. Dr. Sridhar has held progressive academic roles, previously serving as Professor and Dean at Institute of Aeronautical Engineering, Hyderabad. His research focuses on fault detection and diagnosis in electrical systems, power quality, and algorithms for research-oriented projects, reflecting his commitment to advancing technology and education.

Professional Profile:

Orcid

๐ŸŽ“Education:

Dr. Patthi Sridhar is a distinguished academic and researcher currently holding the position of Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. He completed his Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad. His educational journey includes a Master of Technology in Computer Science and Engineering from GIET University, Odisha, and another Master of Technology in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh.

๐ŸขWork Experience:

Dr. Sridhar’s professional career spans various significant roles in academia. Prior to his current position, he served as Professor and Dean at the Institute of Aeronautical Engineering, Hyderabad, where he also held the position of Head of the Electrical and Electronics Engineering department. Before that, he worked as an Associate Professor and Officer in Charge of Examinations at the same institute.

Publication Top Notes:

  • Adaptive neuro-fuzzy inference system based evolving fault locator for double circuit transmission lines
    • Source: IAES International Journal of Artificial Intelligence
    • Year: 2020
  • Design of power analyzer using LabVIEW
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Step-up resonant converter for induction motor drive applications
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Determination of stray losses using myDAQ
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018
  • Interfacing myRIO to control various sensors in electrical applications
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018

 

 

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu, National University of Singapore, Singapore

๐Ÿ‘จโ€๐Ÿ’ผ Zhihe Lu is a dedicated researcher in the field of Computer Vision, with a focus on Transfer Learning, Few-shot Learning, and Continual Learning. He holds a Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK, where he conducted innovative research under the supervision of Prof. Tao Xiang. Prior to that, he completed his Master’s Degree in Computer Vision at the Institute of Automation, Chinese Academy of Sciences, and obtained a Bachelor of Engineering in Automation from Zhengzhou University. Currently, Zhihe serves as a Research Fellow at the National University of Singapore, contributing to the CARTIN project for scene understanding. His previous experience includes an internship at the AI center of Samsung, UK. Zhihe’s passion for advancing computer vision technologies drives his commitment to exploring novel approaches in the field. ๐Ÿ–ฅ๏ธ

Professional Profile:

Google Scholar

๐Ÿ“š Education:

  • Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK (2019.07 – 2022.09) under the supervision of Prof. Tao Xiang.
  • Master’s Degree in Computer Vision from Institute of Automation, Chinese Academy of Sciences (2016.09 – 2019.06) under the supervision of Prof. Ran He.
  • Bachelor of Engineering in Automation from College of Electrical Engineering, Zhengzhou University (2010.09 – 2014.06).

๐Ÿ’ผ Working Experiences:

  • Research Fellow at National University of Singapore, Singapore (2022.09 – Present), working on part of the CARTIN project for scene understanding.
  • Intern at AI center of Samsung, UK (2021.10 – 2022.04).

๐Ÿ” Research Interests:

Zhihe Lu’s research interests lie in the areas of Computer Vision, Transfer Learning, Few-shot Learning, and Continual Learning.

Publication Top Notes:

 

 

 

 

 

 

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

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

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

๐Ÿ‘ฉโ€๐ŸŽ“ 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. ๐Ÿ†๐Ÿ”๐Ÿ“š

๐ŸŒย Professional Profiles :

Scopus

Google Scholar

๐ŸŽ“ Education:

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

๐Ÿ‘ฉโ€๐Ÿ’ผ 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.

๐Ÿ† 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.

๐Ÿ”ฌ Research Focus:

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

๐Ÿ“š 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 (DIVANetโ€™23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

๐Ÿ“šย Publication Impact and Citations :

Scopus Metrics:

  • ๐Ÿ“ย Publications: 45 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fuโ€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 ๐Ÿ“–
    • h-index: 15ย  ๐Ÿ“Š
    • i10-index: 18 ๐Ÿ”
  • Since 2018:
    • Citations: 899 ๐Ÿ“–
    • h-index: 15 ๐Ÿ“Š
    • i10-index: 18 ๐Ÿ”

๐Ÿ‘จโ€๐Ÿซ A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. ๐ŸŒ๐Ÿ”ฌ

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.

 

 

 

 

 

 

 

 

Prof. Vedat ToฤŸan | Application of AI in Construction Management | Excellence in Innovation

Prof. Vedat ToฤŸan : Application of AI in Construction Management

Prof. Vedat ToฤŸan, Karadeniz Technical University, Turkey

๐ŸŒŸ Dr. Vedat Togan studied at Karadeniz Technical University (KTU) Civil Engineering Department between 1996-2000. In 2004, he completed his master’s thesis in the building science department of the same university, and received the title of “Master of Civil Engineering”, and in 2009, he completed his doctoral study and received the title of “Doctor” in Civil Engineering. During his doctorate, he took courses related to his doctoral studies at Ruhr University of Bochum, Germany between 2004-2005, and Delft University of Technology, Netherlands, with a TUBITAK scholarship between 2007-2008, respectively. ๐Ÿ“š

๐Ÿ”ฌ After his doctorate; Assistant Professor at Karadeniz Technical University between 2011-2013. In January 2014, he was appointed as “Associate Professor” to the Department of Civil Engineering at KTU. He was appointed as a Professor at the same University in January 2019. Continuing his research at the Department of Civil Engineering at KTU, Dr. Togan has many articles, papers, and book chapters published in national and international conferences, journals, and books related to optimization, multi-objective optimization, optimization techniques, construction management, and artificial intelligence applications.๐ŸŒ

๐ŸŽ“ Education :ย 

โ˜€๏ธย Prof. Vedat ToฤŸan has an impressive academic journey that spans across various levels of education in the field of Civil Engineering. His educational odyssey commenced with an undergraduate program at Karadeniz Technical University, where he delved into the intricacies of Civil Engineering from 1997 to 2000. ๐Ÿ—๏ธ Subsequently, he pursued postgraduate studies at the same institution, further honing his expertise in construction engineering from 2001 to 2004. ๐Ÿ“š His scholarly pursuits reached their pinnacle with a doctorate at the Karadeniz Technical University’s Institute of Science in the realm of Civil Engineering, which he successfully completed from 2004 to 2009. ๐Ÿ† Prof. Vedat ToฤŸan’s academic journey is a testament to his commitment to knowledge and excellence in the field of construction engineering. ๐ŸŒ

Professional Profiles : ๐ŸŒ

Scopus

Google Scholar

ORCID

Linkedin

๐Ÿง  Research Interests ๐Ÿ”ฌ๐ŸŒ :

๐ŸŒย Prof. Vedat ToฤŸan’s intellectual curiosity extends across a diverse spectrum of research interests, reflecting his multifaceted engagement with the realm of Civil Engineering and related fields. ๐ŸŒ His scholarly pursuits encompass the intricate domain of Structural Engineering, where he explores the principles governing the stability and design of structures. ๐Ÿ—๏ธ With a keen focus on Building Management, he delves into the efficient coordination and administration of construction projects, ensuring optimal functionality and sustainability. ๐Ÿ”ฌ Moreover, Prof. ToฤŸan navigates the intersection of technology and construction through his exploration of Informatics in Construction Management, leveraging innovative solutions to enhance efficiency and precision in the industry.

๐Ÿข His expertise in Construction Management extends beyond traditional boundaries, encompassing a holistic approach to project oversight and implementation. ๐Ÿ› ๏ธ Lastly, his involvement in Engineering and Technology underscores a commitment to pushing the boundaries of innovation within the field. ๐ŸŒฑ Prof. Vedat ToฤŸan’s expansive research interests underscore his dedication to advancing knowledge and driving progress in the dynamic landscape of Civil Engineering. ๐Ÿš€

๐Ÿ“šย Publication Impact and Citations :ย 

Scopus Metrics:

  • ๐Ÿ“ย Publications:ย 22 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 1,149 citations for his publications, reflecting the widespread impact and recognition of Prof. Vedat ToฤŸan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1864 ๐Ÿ“–
    • h-index: 19 ๐Ÿ“Š
    • i10-index: 29 ๐Ÿ”
  • Since 2018:
    • Citations: 1167 ๐Ÿ“–
    • h-index: 17 ๐Ÿ“Š
    • i10-index: 24 ๐Ÿ”

๐Ÿ‘จโ€๐Ÿซ A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. ๐ŸŒ๐Ÿ”ฌ

Publications ( Top Note ) :

1.ย  Design of Planar Steel Frames using Teachingโ€“Learning Based Optimization

Published in Engineering Structures, 2012; Cited by 320.

2.ย  An Improved Genetic Algorithm with Initial Population Strategy and Self-Adaptive Member Groupingย 

Published in Computers & Structures, 2008; Cited by 308.

3.ย  Optimization of 3D Trusses with Adaptive Approach in Genetic Algorithmsย 

Published in Engineering Structures, 2006; Cited by 181.

4.ย  Simultaneous Size, Shape, and Topology Optimization of Truss Structures using Integrated Particle Swarm Optimizer

Published in Structural and Multidisciplinary Optimization, 2016; Cited by 89.

5.ย  Interactive Search Algorithm: A New Hybrid Metaheuristic Optimization Algorithm

Published in Engineering Applications of Artificial Intelligence, 2018; Cited by 82.

6.ย  Sizing and Layout Design of Truss Structures under Dynamic and Static Constraints with an Integrated Particle Swarm Optimization Algorithm

Published in Applied Soft Computing, 2017; Cited by 65.

7.ย  Time-Cost Trade-Off Optimization of Construction Projects using Teaching Learning Based Optimization

Published in KSCE Journal of Civil Engineering, 2019; Cited by 57.

8.ย  Stochastic Analysis of Offshore Steel Structures: An Analytical Appraisal

Published in Springer Science & Business Media, 2012; Cited by 50.

9.ย  An Integrated Reliability-Based Design Optimization of Offshore Towersย 

Published in Reliability Engineering & System Safety, 2009; Cited by 49.

10.ย  Solution of Structural and Mathematical Optimization Problems using a New Hybrid Swarm Intelligence Optimization Algorithm

Published in Advances in Engineering Software, 2019; Cited by 42.