Samarth Sarvade | Electronics | Best Researcher Award

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Mr. Samarth Sarvade | Electronics | Best Researcher Award

Samarth Sarvade is an aspiring researcher and technology enthusiast specializing in cloud computing, AI, and IoT-driven solutions. With a passion for problem-solving, he actively contributes to technological advancements through patents, research papers, and innovative projects. As the Google Developer Student Clubs Lead, he successfully organized hackathons and workshops, fostering a culture of learning and collaboration. He has also served as a Google Cloud Arcade Facilitator, guiding over 1,050+ students in hands-on cloud computing experiences. His projects, including AgroGuard and Cyber Attacks Analytics Tool, showcase his ability to integrate AI with real-world applications. He actively participates in technical communities like DevHub and FOSS United, driving tech engagement in Solapur. With a strong foundation in software development, data analytics, and cybersecurity, he is committed to leveraging technology for impactful solutions. His research work is indexed in Scopus, reflecting his dedication to high-quality academic contributions.

Publication Profile

Scholar

šŸŽ“ Education

Samarth Sarvade is pursuing a Bachelor of Engineering in Electronics & Telecommunication at Nagesh Karajagi Orchid College of Engineering and Technology, Solapur (2021-2025). He completed his Higher Secondary School Certificate (HSC) from Walchand College of Arts and Science, Solapur (2019-2021) and his Secondary School Certificate (SSC) from Hindustani Covenant Church English Medium High School, Solapur (2018-2019). His academic journey is marked by excellence in technical education, complemented by hands-on project development and research in AI, IoT, and cloud computing. His engineering education has provided him with expertise in programming, analytics, and emerging technologies, equipping him with the necessary skills for cutting-edge research. Actively engaged in tech communities and competitions, he has developed projects that integrate machine learning, cybersecurity, and automation, solidifying his reputation as an innovative thinker in the engineering domain.

šŸ’¼ Experience

As the Google Developer Student Clubs Lead (2023-2024), Samarth played a pivotal role in organizing hackathons like Solution Challenge and workshops such as GenAI, fostering an ecosystem of learning at his institute. As a Google Cloud Arcade Facilitator (2023-2024), he led multiple cloud computing events, training over 1,050+ students in Google Cloud services. He is also a community leader at DevHub and FOSS United, Solapur, where he organized IoT and AI-focused workshops, connecting students with industry experts. His technical expertise extends to research and project development, with patents in AI-based farm management and railway automation. His research contributions, published in Scopus-indexed journals, demonstrate his dedication to academic excellence. He has also built innovative tools like Cyber Attacks Analytics Tool, enhancing cybersecurity insights. His multifaceted experience bridges academia, research, and industry, shaping him into a dynamic technology leader.

šŸ† Awards & Honors

Gold Prize for AgroGuard at Aavishkar Zonal & University Level (2024). Finalist at Intelliswift Innovation Hackathon (2023) for Kisan Ki Duniya. Ultimate Milestone Achiever – Google Cloud India (2024) for cloud computing contributions. Graduated Google Developer Student Clubs Lead (2024) for exceptional leadership. DIPEX 2024 Exhibition cum Competition participation. Best Paper Award Nomination – Procedia Computer Science (2025) for railway automation research. Ideathon 3.0 Participant (2024) for innovation in sustainable technologies. National Intellectual Property Awareness Mission (2023) certification for contributions to patent filing. Certified AWS Cloud Practitioner & Microsoft DevOps Specialist for excellence in cloud computing His awards reflect his dedication to research, innovation, and leadership in emerging technologies.

šŸ”¬ Research Focus

Samarth Sarvadeā€™s research revolves around AI-driven automation, IoT in agriculture, cloud computing, and cybersecurity. His work includes patented AI-based agricultural management systems, LoRaWAN-enabled railway automation, and cybersecurity analytics using LLM (Llama 3). He has published Scopus-indexed research papers, including ā€œAgroGuard: Intelligent Farm Cover Controlā€ and ā€œOptimizing Railway Signaling with RFID and Automationā€. His projects integrate machine learning, embedded systems, and cloud computing to create innovative real-world solutions. He is particularly interested in intelligent automation for smart cities, AI-enhanced cybersecurity threat detection, and industrial IoT applications. His research contributions, recognized in international conferences, showcase his ability to apply theoretical knowledge to practical problem-solving, contributing significantly to national security and technological self-reliance.

Conclusion

Samarth Sarvade is a highly promising researcher with a strong foundation in innovation, leadership, and technology-driven solutions. While his patents and projects demonstrate real-world impact, focusing on higher-ranked research publications and industry collaborations would further strengthen his candidacy for the Best Researcher Award.

PublicationĀ 

  • Title: Agroguard: Intelligent Farm Cover Control and Climate Management System
    Year: 2024
    Authors: RS Bakare, SR Sarvade
    Citation: Grenze International Journal of Engineering & Technology (GIJET) 10

 

  • Title: Optimizing Railway Signaling and Platform Management with LoRaWAN, RFID and Automation Technologies
    Year: 2025
    Authors: S Sarvade, V Shirwal, P Kugaonkar, K Mudgonda
    Citation: Procedia Computer Science 252, 557-566

 

 

Mohit Yadav | IoT | Best Scholar Award

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Mr. Mohit Yadav | IoT | Best Scholar Award

Student, Dayalbagh Educational Institute

Mohit Yadav is a technology enthusiast specializing in IoT, AI, and drone development, currently an intern at Scientific Computing Virtual Lab, Dayalbagh Educational Institute. He has experience in software development, mobile applications, and full-stack development. His research focuses on Industry 4.0, smart agriculture, and AI-driven automation. Mohit has authored multiple publications, book chapters, and patents in AI, IoT, and UAVs. He actively contributes to academia through research, reviews, and keynote speaking. Passionate about technological innovation, he continuously explores advancements in AI, machine learning, and computational intelligence.

Profile

Scholar

šŸŽ“ Education

Completed M.Sc. in Computer Science from Dayalbagh Educational Institute with a dissertation on Particle Swarm Optimization; earned a B.Tech in Internet of Things from Dayalbagh Educational Institute in 2023; obtained a Diploma in Information Technology with a specialization in Software Development from DEI Technical College in 2020. His academic journey focuses on computational intelligence, IoT applications, and optimization techniques.

šŸ’¼ Experience

Intern at Scientific Computing Virtual Lab, Ministry of Education project, Dayalbagh Educational Institute since 2022; worked as a Mobile Application Developer at IotianHub Pvt. Ltd. (2020); served as a Python Developer at E-Gain Software Consultancy (2019). His expertise spans full-stack development, IoT applications, UAV technology, and AI-driven smart systems.

šŸ† Awards & Honors

Recipient of a stipend salary under the MHRD Virtual Lab Project (ā‚¹12,000/month); awarded a research grant for AI-based agricultural drones (ā‚¹7,500/month); recognized as an invited reviewer for the International Journal of Computational Intelligence System (Springer); keynote speaker at multiple tech boot camps and academic conferences; honored as a session chair at science competitions.

šŸ”¬ Research Focus

Research areas include Industry 4.0 and 5.0 transformations, AI-driven automation, smart agriculture, IoT-based monitoring, UAV applications, and computational intelligence. Published multiple IEEE and Springer papers, covering industrial digitalization, smart irrigation, and AI-augmented decision-making in agricultural and industrial ecosystems.

Conclusion

Mohit Yadav’s comprehensive educational background, prolific research output, innovative patents, and active participation in the academic community position him as a commendable candidate for the Best Scholar Award. Addressing the suggested areas for improvement could further elevate his research profile and contributions to the field.

Publication

2023 | M Yadav, A Vardhan, AS Chauhan, S Saini | A Study on Creation of Industry 5.0: New Innovations using big data through artificial intelligence, Internet of Things and next-origination technology policy | 16

 

2024 | V Shrivastav, M Yadav, A Sharma, D Kumar, S Sharma, AS Chauhan | IoT and IoE transformations in precision farming agriculture: Sensor-based monitoring, Automated irrigation and Livestock monitoring | 5

 

2023 | M Yadav, A Vardhan, M Gupta | Baaljyotiā€“Shiksha ke Nanhe Kadam: An android-based E-learning for primary kids in India | 2

 

2025 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Sanjay Saini, Sukhdev Roy | SmartKhet: IoT-based Smart Agricultural Field Monitoring Device System | Patent

 

2025 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Sanjay Saini, Sukhdev Roy | Seven Rotors Ultra High Speed Drone | Patent

 

2025 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Sanjay Saini, Sukhdev Roy | IoT-Based Intelligent Dashboard Device for Real-Time Smart Home Monitoring | Patent

 

2024 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | Printed Circuit Board | Patent

 

2024 | M Yadav, V Shrivastav, A Vardhan, AS Chauhan, S Saini | Appraisal Study and Analytics of Industrial 4.0 – A Rebellion Towards Existing Twins | –

 

2023 | M Yadav, AS Chauhan, VK Dalal | Post-Pandemic Development and Adoption of Technologies in Agriculture | –

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Deepak Kumar, Sumit ā€¦ | High Speed VTOL Drone | Patent

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | Device for the Monitoring and Distribution of Nutrients for Hydroponic | Patent

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | Remote Controlled Helicopter Drone | Patent

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | 32 Rotor High Payload Drone | Patent

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | High Payload 16 Rotors Aerial System | Patent

 

2023 | Mohit Yadav, Amarjeet Singh Chauhan, Aditya Vardhan, Varun Shrivastav, Aman ā€¦ | Light Weight Drone | Patent

 

Huiqin Du | Electronic Engineering | Best Researcher Award

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Assoc. Prof. Dr. Huiqin Du | Electronic Engineering | Best Researcher Award

Research Scholar, Jinan University,Ā  China

Huiqin Du is an Associate Professor at the College of Information Science and Technology, Jinan University, China. She earned her B.Sc. in Electronic Information Science from Beijing University of Chemical Technology in 2004, followed by an M.Sc. in Radio Frequency Communication Systems from the University of Southampton, U.K., in 2006. She obtained her Ph.D. in Signal Processing from the University of Edinburgh in 2010. Before joining Jinan University in 2013, she worked as a Research Fellow at Queenā€™s University Belfast and the University of Edinburgh. Her research focuses on reconfigurable intelligent surfaces-assisted communications and integrated sensing and communication. She has authored numerous high-impact journal articles and serves as a reviewer for IEEE journals.

Publication Profile

 

šŸŽ“ Education

B.Sc. (2004): Electronic Information Science, Beijing University of Chemical Technology, China.M.Sc. (2006): Radio Frequency Communication Systems, University of Southampton, U.K. (Distinction). Ph.D. (2010): Signal Processing, University of Edinburgh, U.K

šŸ’¼ Experience

Associate Professor (2013ā€“Present): College of Information Science and Technology, Jinan University, China. Research Fellow (2012ā€“2013): Institute for Imaging, Data and Communications (IDCOM), University of Edinburgh, U.K.. Research Fellow (2010ā€“2012): Institute for Electronics, Communications, and Information Technology (ECIT), Queenā€™s University Belfast, U.K.

šŸ† Awards and Honors

IEEE Member. Reviewer for IEEE Transactions on Wireless Communications, IEEE Communications Letters, and other prestigious journals. Multiple high-impact publications in IEEE and other renowned journals. Research grants and funding for advanced wireless communication projects

šŸ”¬ Research Focus

MIMO Wireless Systems ā€“ Advancing multi-input multi-output communication technologies. Massive MIMO ā€“ Optimizing large-scale antenna systems. ISAC Systems ā€“ Integrated Sensing and Communication applications. Cognitive Radio Networks ā€“ Enhancing wireless spectrum efficiency. Visible Light Communication Systems ā€“ Investigating optical wireless communication. Beamforming Design ā€“ Developing innovative signal processing techniques. Convex Optimization ā€“ Expertise in probabilistic-constrained convex optimization, quadratic programming, and semidefinite programming

Conclusion

Dr. Huiqin Du demonstrates significant strengths in academic research, particularly in advanced wireless communication systems. To further bolster her candidacy for the Best Researcher Award, increased emphasis on industry collaboration and the practical application of her research outcomes would be beneficial.

šŸ“š Publications

  • Title: RIS-aided integrated sensing and communication: Beamforming design and antenna selection
    Year: 2025
    Authors: Yuying Mai, Mateen Z. Ashraf, Huiqin Du, Bo Tan
    Citations: 0

 

  • Title: Efficient symbol level precoding design for full-duplex integrated sensing and communication systems
    Year: 2024
    Authors: Mengqi Wang, Huiqin Du
    Citations: 0

 

  • Title: Joint UAV Trajectory and Beamforming Designs for RIS-Assisted MIMO System
    Year: 2024
    Authors: Si Li, Huiqin Du, Duoying Zhang, Kexin Li
    Citations: 5

 

  • Title: Bit Allocation for Adaptive Finite-Resolution RIS-assisted MIMO system
    Year: [Not Provided]
    Authors: Yuan Huang, Huiqin Du
    Citations: 0

 

  • Title: Reconfigurable Intelligent Surface-Assisted Multi-User Secrecy Transmission with Low-Resolution DACs
    Year: 2024
    Authors: Kexin Li, Huiqin Du, Si Li
    Citations: 0

 

  • Title: Delayed Bit-Interleaved Coded Transmission for Spatial Modulation
    Year: 2023
    Authors: Yang Liu, Huiqin Du, Shancheng Zhao, Jinming Wen
    Citations: 0

 

 

Tianyu Zhang | Digital operations | Best Researcher Award

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Dr. Tianyu Zhang | Digital operations | Best Researcher Award

PhD student at Beijing Institute of Technology, China

Dr. Tianyu Zhang is a Ph.D. candidate in Management Science and Engineering at the Beijing Institute of Technology (BIT), China. He holds a Double Bachelorā€™s Degree in Economics from Peking University and a Bachelorā€™s Degree in Opto-Electronics Information Science and Engineering from BIT. His research focuses on blockchain adoption, supply chain finance, innovation diffusion, and decision-making models. He has published in high-impact journals like Omega and Journal of Business Research. A recipient of multiple First-Class Academic Scholarships , Dr. Zhang is skilled in agent-based modeling, data visualization, and analytical modeling.

Publication Profile

Scopus

Educational Background šŸŽ“šŸ“š

Dr. Tianyu Zhang is currently pursuing a Ph.D. in Management Science and Engineering at the Beijing Institute of Technology (BIT), China . He previously earned a Double Bachelorā€™s Degree in Economics from Peking University (2014-2017) . Additionally, he holds a Bachelorā€™s Degree in Opto-Electronics Information Science and Engineering from BIT (2013-2017) . His diverse academic background integrates engineering, economics, and management, providing a strong foundation for his research in blockchain technology, supply chain finance, and innovation diffusion. Through his interdisciplinary expertise, Dr. Zhang contributes significantly to advancing data-driven decision-making and financial technologies.

Research Experience šŸ”¬šŸ“–

Since 2019, Dr. Tianyu Zhang has been a principal member of a prestigious research project funded by the National Natural Science Foundation of China (NSFC) . His work focuses on developing a risk alert mechanism for the synergistic operation of the P2P lending system Ā (Project Ref. No. 71873015). This research aims to enhance financial stability and risk management strategies in the rapidly evolving digital finance sector. By leveraging advanced analytical models and data-driven approaches, Dr. Zhang contributes to shaping a more secure and efficient financial ecosystem in China.

Honors & Awards šŸ†šŸŽ“

Dr. Tianyu Zhang has received multiple prestigious academic honors for his outstanding achievements . In 2020, he was recognized as an Outstanding Student at Beijing Institute of Technology (BIT) šŸ›ļø. He has also been awarded the First-Class Academic Scholarship multiple times, including in 2018, 2017, and consecutively from 2014 to 2016. In 2017, he was honored as an Excellent Graduate Student of BIT, reflecting his dedication to academic excellence and research innovation . These accolades highlight his exceptional performance, intellectual rigor, and commitment to advancing knowledge in his field.

Research Interests šŸ”šŸ“Š

Dr. Tianyu Zhang’s research focuses on emerging technologies and decision sciences . His expertise includes blockchain and supply chain finance , where he explores financial innovations and risk management. He is also passionate about innovation diffusion , studying how new technologies spread in competitive markets. His work in agent-based modeling Ā helps simulate complex systems, while his proficiency in multiple case study analysis Ā enhances strategic decision-making. Additionally, he specializes in multiple-criteria decision making , developing frameworks for optimal choices in uncertain environments. His research contributes to advancing business strategies and technological innovations.

Publications šŸ“ššŸ“

  • The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members šŸ­šŸ”—
    Year: 2023

  • Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model āŒššŸ“ˆ
    Year: 2022

  • Innovation adoption of blockchain technology in supply chain finance šŸ”—šŸ’°
    Year: 2022

  • A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations šŸ¤āš–ļø
    Year: 2024

  • Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention šŸŒšŸ”¬
    Year: 2024

  • The contagion mechanism and governance strategy of corporate social irresponsibility of Chinese food companies šŸ½ļøāš ļø
    Year: 2024

  • A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection ā˜ļøšŸ“Š
    Year: 2020

Chandrima Thakur | Wireless Communication | Best Researcher Award

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Ms. Chandrima Thakur | Wireless Communication | Best Researcher Award

DST Project Fellow (SRF), Jadavpur University India

Chandrima Thakur is an enthusiastic academician and researcher specializing in electronics and telecommunication engineering. With a passion for advancing communication technologies, she focuses on wireless networks, energy harvesting, and secure communication. She has demonstrated excellent academic performance through various certifications, international conferences, and research collaborations.

Publication Profile

Scopus

Google Scholar

šŸŽ“ Education

Chandrima completed her Ph.D. (Thesis submitted in 2024) in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata. She earned her M.Tech in Telecommunication Engineering from NIT Durgapur (2017) with a CGPA of 9.47 and her B.Tech in Electronics and Communication Engineering from Bengal College of Engineering & Technology (2015) with a CGPA of 8.96.

šŸ§‘ā€šŸ« Experience

Chandrima has served as a research fellow and faculty member at Jadavpur University and has contributed to various teaching labs for undergraduate and postgraduate students. She has also assisted in numerous project reports and theses, focusing on wireless energy harvesting and cooperative networks, and has gained industrial experience in PLC & SCADA and BSNL training.

šŸ† Awards & Honors

Chandrima has received several accolades, including Best Paper Awards at NCECC 2020 and IEMENTech 2020, as well as the DST WB Project Fellow and State Government Fellowship. Her research contributions have been recognized at numerous national and international conferences, and she has participated in various workshops and webinars on advanced communication systems.

šŸ”¬ Research Focus

Her research primarily focuses on RF energy harvesting for wireless networks, cooperative spectrum sensing, physical layer security, and IoT applications. She also explores the integration of AI/ML in RF energy harvesting systems, device-to-device communication, and 6G communication technologies like IRS.

šŸ†ConclusionĀ 

Chandrima Thakur is a promising researcher with strong academic accomplishments and significant contributions to the field of wireless communications. Her focus on RF energy harvesting and physical layer security aligns with the current needs of the telecom industry. With her passion for research, diverse expertise, and continual pursuit of knowledge, Chandrima is an excellent candidate for the Best Researcher Award.

Publication Top Notes

  • Title: Secrecy performance of an improved interference-aided RF energy harvesting scheme in two-way multi-antenna relay network
    Year: 2020
    Authors: C Thakur, S Chattopadhyay
    Citations: 4

 

  • Title: A novel interference-aided energy harvesting scheme for cooperative network
    Year: 2019
    Authors: C Thakur, S Chattopadhyay
    Citations: 3

 

  • Title: A novel relayā€aided centralized cooperative spectrum sensing scheme using radio frequency energy harvesting
    Year: 2023
    Authors: S Majumdar, C Thakur, S Chattopadhyay
    Citations: 2

 

  • Title: Performance of Combined RF and non-RF based Energy Harvesting scheme for Multi-Relay Cooperative Cognitive Radio Network
    Year: 2022
    Authors: C Thakur, S Majumdar, S Chatterjee
    Citations: 2

 

  • Title: A Novel Interference-aided RF Energy Harvesting scheme for Cooperative NOMA Network
    Year: 2021
    Authors: C Thakur, S Chattopadhyay
    Citations: 2

 

  • Title: Throughput analysis of multiple cognitive radio networks
    Year: 2016
    Authors: C Thakur, D Goswami, SD Roy, S Kundu
    Citations: 2

 

  • Title: Performance Analysis of RF-Powered Multi-device Diamond Relay IoT Network Using Adaptive NOMA
    Year: 2024
    Authors: C Thakur, S Chattopadhyay
    Citations: 1

 

  • Title: Cooperative Spectrum Sensing based Hybrid Smart Home Energy Management System with Energy Harvesting
    Year: 2023
    Authors: S Majumdar, C Thakur, S Chatterjee
    Citations: 1

 

  • Title: Throughput Analysis of Multi-Source Multi-Antenna Cooperative Relay Network with RF Energy Harvesting using Improved Relay Selection schemes
    Year: 2020
    Authors: S Roy, P Kabiraj, S Dey, C Thakur, S Chattopadhyay
    Citations: 1

 

  • Title: Development and Analysis of an RF-Powered Rechargeable Wireless Sensor Network for LR-WPAN
    Year: 2025
    Authors: C Thakur, S Chattopadhyay

 

  • Title: An RF-powered multi-device diamond relay IoT network using A-NOMA for WBAN
    Year: 2024
    Authors: C Thakur, S Chattopadhyay

 

  • Title: A Novel Relay Selection Strategy for RF Energy Harvested Communication Network
    Year: 2023
    Authors: M Saha, C Thakur, S Chattopadhyay
    Citations: 1

 

  • Title: Performance analysis and optimization of a hybrid TSRā€“PSR protocol for AF, DF and hybrid AFā€“DF relaying under Weibull fading
    Year: 2023
    Authors: RS Chowdhury, JK Sadhu, C Thakur, S Chattopadhyay
    Citations: 1

 

 

Jiale Li | Engineering | Young Scientist Award

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Dr. Jiale Li | Engineering | Young Scientist Award

Researcher Assistant, Tianjin University China

Jiale Li, born in March 1997 in Handan, Hebei, is a Hydraulic Engineering researcher and innovator. He is completing a Direct-Entry Ph.D. at Tianjin University (2019ā€“2024) and earned a Bachelorā€™s in Hydraulic Engineering from Lanzhou University of Technology (2015ā€“2019). His expertise lies in offshore wind power, focusing on innovative equipment design, hydrodynamic characteristics of floating structures, and scour protection of wind power foundations. With 10 published papers, including 7 SCI-class A articles, and 9 authorized patents, he actively contributes to advancing renewable energy solutions. Jiale is a recipient of several academic accolades, including the “Young Talent” award.

Professional ProfileĀ 

šŸŽ“Education

Ph.D. in Hydraulic Engineering (Tianjin University, 2019ā€“2024): Researching offshore wind power, focusing on innovative equipment design and scour protection. Bachelorā€™s in Hydraulic Engineering (Lanzhou University of Technology, 2015ā€“2019): Specialized in water conservancy and renewable energy foundations. Skills: Proficient in Abaqus, Ansys, Sesam, MATLAB, and Origin. Fluent in English (CET-6 certified).

šŸ’¼Experience

Ph.D. Researcher, Tianjin University (2019ā€“2024): Conducted R&D in offshore wind turbine foundations, hydrodynamic analysis, and structural monitoring systems. Project Contributor: Participated in multiple national offshore wind power projects, including designs for Zhuhai Guishan Wind Farm and Fujian Deep-Sea Area technologies. Reviewer: Served as an academic reviewer for Ocean Engineering and other top journals.

šŸ†Award and Honor

Young Talent Award, China Energy Research Society (2025). Outstanding Doctoral Dissertation, Tianjin University (2024). National Scholarship for Doctoral Students (2023). Zhang Guangdou Outstanding Student Scholarship (2022). 8th “Top 10 Future Water Conservancy Stars” Award, National Water Conservancy Universities (2018).

šŸ”¬Ā Research Focus

Offshore Wind Power: Developing innovative floating platforms and cylindrical foundations. Hydrodynamic Analysis: Enhancing stability and efficiency of offshore structures. Scour Protection: Investigating safety and performance of wind turbine foundations. Interdisciplinary Solutions: Integrating wind, solar, and fisheries for sustainable marine resource

Publications Top Noted

  • Title: Experimental study on current-induced local scour and pre-embedded protective measures of multi-bucket jacket foundation for offshore wind turbines
    Year: 2025
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Xiaofeng Dong, Yang Gao
    Citation: Coastal Engineering, DOI: 10.1016/j.coastaleng.2025.104703

 

  • Title: Concept design and floating installation method study of multi-bucket foundation floating platform for offshore wind turbines
    Year: 2024
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang
    Citation: Marine Structures, DOI: 10.1016/j.marstruc.2023.103541

 

  • Title: Seismic response and liquefaction characteristics of wide and shallow multi-bucket jacket foundation under scour conditions
    Year: 2023
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2023.115816

 

  • Title: Mechanisms, assessments, countermeasures, and prospects for offshore wind turbine foundation scour research
    Year: 2023
    Authors: Jiale Li, Yaohua Guo, Jijian Lian, Haijun Wang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2023.114893

 

  • Title: Numerical study of the local scour characteristics of bottom-supported installation platforms during the installation of a monopile
    Year: 2023
    Authors: Jiale Li, Jijian Lian, Haijun Wang, Yaohua Guo, Sha Liu, Yutong Zhang, FengWu Zhang
    Citation: Ships and Offshore Structures, DOI: 10.1080/17445302.2023.2243700

 

  • Title: Scour effects on the bearing capacity of multi-bucket jacket foundation for offshore wind turbines
    Year: 2022
    Authors: Jiale Li
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2022.111848

 

  • Title: Numerical study on local scour characteristics of multi-bucket jacket foundation considering exposed height
    Year: 2022
    Authors: Jiale Li
    Citation: Applied Ocean Research, DOI: 10.1016/j.apor.2022.103092

 

  • Title: Numerical study on scour protection effect of monopile foundation based on disturbance structure
    Year: 2022
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang, Xu Yang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2022.110856

 

Chandra Wadde | Engineering | Best Researcher Award

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Mr. Chandra Wadde | Engineering | Best Researcher Award

Ph.D Scholar at SRM University-AP, India

Wadde Chandra (b. February 14, 1995) is a passionate researcher and academic in mmWave imaging and Internet of Things (IoT). Based in Siddarampuram, Andhra Pradesh, he is currently pursuing a Ph.D. at SRM University, AP, focusing on mmWave FMCW radar systems. Chandra has over two years of teaching experience and has worked on diverse IoT, AI, and radar imaging projects. His work includes significant research in near-field imaging and data analysis using Power BI. Fluent in Telugu and English, he is committed to advancing innovative technologies and contributing to academia and industry.

Profile

Scopus

Scholar

šŸŽ“ EducationĀ 

Ph.D. (2023ā€“Present): mmWave Imaging via FMCW Radar, SRM University, AP. M.Tech (2018ā€“2021): Internet of Things, JNTUA College of Engineering, Ananthapur. B.Tech (2014ā€“2017): Electronics & Communication Engineering, JNTUA College of Engineering, Ananthapur. Diploma (2010ā€“2013): Electronics & Communication Engineering, ARIES Polytechnic College. SSC (Schooling): Sri Sathya Sai Deenajanodharana Pathakam, Puttaparthi.

šŸ¢ ExperienceĀ 

Assistant Professor (2022ā€“2023): Gudlavalleru Engineering College, handled IoT, Machine Learning, and Instrumentation. Assistant Professor (2021ā€“2022): Sanskrithi School of Engineering, taught Analog Circuits and Communication Systems. Internships: DQA & Power BI Analysis (Efftronics Pvt. Ltd., Vijayawada, 2020ā€“2021). ATCS Traffic Control System (Efftronics Pvt. Ltd., 2018ā€“2019). CI & Lean Leader (Amara Raja Electronics, 2013).

šŸ† Awards & HonorsĀ 

Accepted papers in SPACE 2024 and MAPCON 2024 for mmWave radar innovations. Multiple journal submissions to IEEE SENSOR Journal in progress. Presented impactful work on SAR modeling, AI, and radar technology at prestigious conferences. Recognition in professional internships for automation, data analytics, and innovation in radar technology.

šŸ”¬ Research FocusĀ 

mmWave Imaging: Advanced radar techniques, 2D SAR imaging, and wall-interference modeling. Internet of Things (IoT): Seamless integration of smart devices and systems. Artificial Intelligence (AI): Machine learning applications in imaging and data analytics. Data Analysis: Power BI for large-scale fault detection and performance metrics.

Conclusion

Wadde Chandraā€™s solid educational background, hands-on research experience, and contributions to conferences make him a strong candidate for the Best Researcher Award. Continued progress in publishing impactful journal articles and expanding his professional network would bolster his candidacy and establish him as a prominent figure in his research fields.

šŸ“šPublicationsĀ 

  1. Modeling of mmWave FMCW Radar System for 2D SAR Imaging
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1109ā€“1112
    • Authors: Wadde, C.; Karvande, R.S.; Kumar, R.

 

  1. Preliminary Analysis of mmWave SAR Model and Machine Learning Approach
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1148ā€“1151
    • Authors: Wadde, C.; Routhu, G.; Karvande, R.S.; Kumar, R.

Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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Dr. Alaa Ali S Almohanna | Information Technology | Best Researcher Award

Dr at University of Wollongong, Australia

Alaa Almohanna is an early-career researcher with a PhD in Computing and Information Technology from the University of Wollongong, Australia. His expertise lies in Artificial Intelligence (AI), persuasive technology, and health informatics. Alaa is passionate about using AI to improve healthcare outcomes and mitigate bias in big data. As a researcher and teacher, he contributes to projects that promote equity in healthcare AI and fosters innovation in tech-driven healthcare solutions. He is committed to advancing knowledge and creating practical solutions to complex healthcare challenges.

Profile

Scopus

Orcid

Scholar

šŸŽ“ Education

Alaa holds a PhD in Computing and Information Technology (2024) from the University of Wollongong, Australia, where he also completed his MSc in Computer Science, Software Engineering (2015). He earned his Bachelor’s in Computer Science and Engineering (2008) from Taibah University, Saudi Arabia. Alaa’s academic journey reflects a strong foundation in computing, software engineering, and health-related technologies, preparing him for impactful research in the field of AI and health informatics.

šŸ’¼ Experience

Alaa has worked as an Associate Researcher and Research Assistant at the University of Wollongong, contributing to projects focused on AI in healthcare. He has also been a part-time teaching staff member, developing innovative content and fostering inclusive learning environments. His research has involved operationalizing diversity in healthcare datasets and creating health-tech policy recommendations. He has worked on AI-related healthcare projects for the Australian Commission on Safety and Quality in Health Care, significantly impacting health governance.

šŸ† Awards and Honors

Alaa received the Best Paper Award at the 18th International Conference on Persuasive Technology (PERSUASIVE 2023) for his exceptional research in persuasive technology. He also earned High Distinction in research training skills subjects and received recognition for his research contributions to AI in healthcare. Alaa’s dedication to advancing the field of health informatics and AI has been acknowledged by peers and institutions alike, further highlighting his commitment to academic excellence and research innovation.

šŸ”¬ Research Focus

Alaa’s research focuses on AI and persuasive technology, particularly in healthcare. He aims to address issues of data diversity and bias in healthcare AI systems. His studies include the development of mHealth apps to promote breastfeeding and healthcare decision-making. Alaa’s work extends to evaluating user experiences, promoting equitable AI, and contributing to healthcare policy development. His ongoing research explores how AI can improve patient outcomes while minimizing biases and ensuring fairness in healthcare delivery systems.

Conclusion

Alaa Almohanna is a highly capable and innovative researcher with a demonstrated track record of excellence in both research and teaching. His contributions to AI in healthcare, along with his recognition through prestigious awards, position him as a strong contender for the Best Researcher Award. His continued focus on operationalizing diversity and improving healthcare technologies promises to create a lasting impact on the field. With a potential for broader collaboration and further pedagogical development, Almohanna is poised for significant academic and professional growth.

šŸ“šPublicationsĀ 

  1. Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review
    • Journal: Journal of Medical Internet Research
    • Date: 2020
    • DOI: e17361
    • Authors: AA Almohanna, KT Win, S Meedya

 

  1. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study
    • Journal: International Journal of Medical Informatics
    • Date: 2022
    • DOI: 104789
    • Authors: AAS Almohanna, KT Win, S Meedya, E Vlahu-Gjorgievska

 

  1. A study of womenā€™s perceptions and opinions of a persuasive breastfeeding mHealth app
    • Conference: International Conference on Persuasive Technology
    • Date: 2023
    • Pages: 142-157
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation
    • Journal: International Journal of Humanā€“Computer Interaction
    • Date: 2024
    • Pages: 1-18
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Operationalising data diversity for equitable artificial intelligence: A scoping review of health governance frameworks
    • Event: The Australasian Association of Bioethics and Health Law (AABHL) 2024 Conference
    • Date: 2024
    • Authors: AAS Almohanna, KT Win, AN Aguirre, YSJ Aquino

 

  1. Literature Review and Environmental Scan Report: AI Implementation in Hospitals: Legislation, Policy, Guidelines and Principles, and Evidence about Quality and Safety
    • Source: Australian Commission on Safety and Quality in Health Care
    • Date: 2024
    • Authors: F Magrabi, L Bates, K Brooke-Cowden, T Jayawardena, A Wang

 

  1. Exploring Persuasive System Design Features and Usersā€™ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Anbuchandran S | Electrical Engineering | Best Researcher Award

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Prof. Dr. Anbuchandran S | Electrical Engineering | Best Researcher Award

Associate Professor at Chennai Institute of Technology,Ā  India

S. Anbu Chandran is a dedicated academician with over 19 years of teaching experience in Electrical and Electronics Engineering. He specializes in optimizing power systems using cutting-edge algorithms like Fuzzified Firefly Optimization. Anbu Chandran completed his Ph.D. at Anna University in 2022 and has contributed significantly to distributed generation and microgrid research. With an extensive list of publications and professional affiliations, he actively mentors students while coordinating institutional accreditations and placement programs.

Profile

Scopus

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Scholar

šŸŽ“ Education

Ph.D. (Electrical Engineering): Anna University, Chennai (2022) Thesis: Fuzzified firefly algorithm for optimal sizing and location of distributed generators.. M.E. (Power Systems Engineering): Arulmigu Kalasalingam College of Engineering, Anna University (2004), 67%. B.E. (Electrical and Electronics Engineering): Arulmigu Kalasalingam College of Engineering, Madurai Kamaraj University (2001), 67.4%.

šŸ’¼ Experience

Teaching: 19 years in engineering colleges, focusing on power systems and optimization. Project: Designed a muzzle velocity measurement coil at Bharat Electronics Limited, Bangalore. Ā Major Roles: NAAC/NBA Coordinator, Placement Coordinator, NCC Magazine Editor, Student Counselor.

šŸ† Awards and Honors

Excellence in Peer Reviewing by BP International, London. Reviewer for top journals including Springer, IOP, and SAGE. Life Memberships: ISTE and IAENG. Recognized for outstanding research contributions with a Scopus h-index of 4.

šŸ”¬ Research Focus

Ā Distributed generation optimization and microgrid systems. Ā Fuzzified Firefly and Multi-objective algorithms for power systems. Ā Renewable energy integration and smart grid enhancements. Ā Hybrid power systems and energy efficiency techniques.

Conclusion

Dr. S. Anbu Chandran’s exceptional academic journey, extensive teaching career, and robust research portfolio make him a deserving candidate for the Best Researcher Award. His consistent efforts to advance the field of electrical engineering, combined with his dedication to academic and professional growth, reflect his commitment to excellence and innovation. Recognizing his work with this award would further motivate him to achieve new heights in research and knowledge dissemination.

šŸ“šPublicationsĀ 

    1. DC Microgrid for EV Charging Station with EV Control by Using STSM Controllers
      Year: 2024
      Authors: Anbuchandran, S., Babu, M.A., Stephen, D.S., Thinakaran, M.

     

    1. MIWO Based MPPT of PV System for Induction Motor Driven Water Pumping System
      Year: 2024
      Authors: Anbuchandran, S., Stephen, D.S., Babu, M.A., Bhuvanesh, A.

     

    1. Multi-objective Optimal Distributed Generators Integration Using Firefly Algorithm with Fuzzy Decision Making
      Year: 2024
      Authors: Anbuchandran, S., Kalarathi, M., Suresh, S., Bhuvanesh, A.

     

    1. A Hybrid Optimization for Distributed Generation and D-STATCOM Placement in Radial Distribution Network: A Multi-faceted Evaluation
      Year: 2024
      Authors: Anbuchandran, S., Arumuga Babu, M., Silas Stephen, D., Thinakaran, M.

     

    1. Enhancing Grid Voltage Stability and Reliability by Harnessing Off-grid Power Sources with Multi-objective Fuzzy Spark Firefly Optimization Algorithm
      Year: 2024
      Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

     

    1. Optimal Sizing of Hybrid Power System Using Genetic Algorithm Based Partial Reinforcement Optimizer
      Year: 2024
      Authors: Anbuchandran, S., Mano Raja Paul, M., Karthik Prabhu, D., Bhuvanesh, A., Jones Raj, S.

     

    1. Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization
      Year: 2024
      Authors: Anbuchandran, S., Christa, S.T.J., Kannan, S., Bhuvanesh, A.

     

    1. Enhancing Grid Resilience and Efficiency with Distributed Generators Through Fuzzified Firefly Optimization
      Year: 2024
      Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

     

    1. A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm
      Year: 2022
      Authors: Anbuchandran, S., Rengaraj, R., Bhuvanesh, A., Karuppasamypandiyan, M.

Abdulrahman Alojail |Information Systems | Best Researcher Award

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Assist. Prof. Dr. Abdulrahman Alojail |Information Systems | Best Researcher Award

Assistant Professor at King Faisal University Saudi, Arabia

Abdulrahman Alojail, from Al Ahsa, Saudi Arabia, is an academic specializing in Information Systems. With a strong focus on enhancing his skills, he leverages his academic background and professional experience to contribute effectively to both education and the industry. He is currently an Assistant Professor at King Faisal University, where he also leads the Alumni Committee. With a career spanning over a decade, Abdulrahman has consistently demonstrated a passion for education, research, and professional development. He has also worked as an Application Development Analyst at Saudi Electricity Company, showcasing his practical IT expertise.

Profile

Orcid

šŸŽ“ Education

Abdulrahman completed his Bachelor of Computer Information Systems at King Faisal University, Saudi Arabia (2010). He later earned a Master of Science in Information Systems from Central Michigan University, USA (2016). Furthering his academic journey, he obtained a PhD in Business Information Systems from RMIT University, Australia (2023). His educational background reflects a deep commitment to mastering IT and business systems, positioning him as an expert in the field.

šŸ’¼ Experience

Abdulrahmanā€™s professional experience spans academia and industry. He served as a Lecturer at King Faisal University from 2011 to 2023, where he taught undergraduate courses in Information Systems and contributed to curriculum development. Since 2023, he has been an Assistant Professor, focusing on alumni relations and creating opportunities for graduates. Prior to his academic career, he worked as an Application Development Analyst at Saudi Electricity Company (2010-2011), where he was responsible for developing and optimizing database applications and maintaining server structures.

šŸ† Awards and Honors

Abdulrahman has received numerous accolades, including Ethical Leadership and Money Management Certificates from Central Michigan University (2015). He also completed a Project Management course (2019) in line with PMI’s PMBOK standards. His expertise in digital transformation earned him certifications in Agile Management and Digital Transformation Project Management (2022). He received recognition for his academic research with the publication of his work in the Mathematics journal, MDPI (2024).

šŸ”¬ Research Focus

Abdulrahmanā€™s research interests include the application of deep learning in enhancing sentiment classification and consistency analysis, particularly in customer reviews. His work also explores digital transformation, business information systems, and the use of data analysis tools like Python for informed decision-making. His PhD research focused on the development of innovative technologies to improve system performance and efficiency in business contexts. He is passionate about the intersection of technology and business practices, aiming to bridge gaps in both fields.

šŸ’” Skills

Abdulrahman is proficient in communication, SQL, MS Access, System Development Methodologies (DFD, ERD, Use Case), Microsoft Power BI, and Python programming. He possesses strong teamwork and collaboration skills, along with a passion for lifelong learning and public speaking. His academic experience and industry background allow him to engage effectively in both teaching and practical application of business information systems.

šŸŒŸ Conclusion

Abdulrahman Alojail is an exceptional candidate for the Best Researcher Award due to his impressive academic credentials, impactful research, and professional expertise. His ability to merge academic theory with industry practice, along with his ongoing commitment to professional development, makes him a valuable asset to the field of Information Systems. With continued growth in interdisciplinary research and emerging technologies, Alojail is poised to make significant contributions to both academia and industry in the years to come.

šŸ“šPublicationsĀ 

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews
  • Author: Dr. Abdulrahman Alojail
  • Journal: Mathematics
  • Date of Publication: December 7, 2024
  • Type: Journal article
  • Focus: The paper presents a hybrid deep learning approach aimed at improving sentiment classification and analyzing the consistency of customer reviews.
  • Contributors: Dr. Abdulrahman Alojail