Deprizon Syamsunur | Engineering | Best Researcher Award

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Dr. Deprizon Syamsunur | Engineering | Best Researcher Award

Head of Department, UCSI University, Malaysia

Asst. Prof. Ir. Dr. Deprizon Syamsunur is a dedicated academician and researcher in Civil Engineering with a focus on sustainable transportation, construction materials, and infrastructure development. With over a decade of experience in both teaching and research, he has contributed significantly to the academic community through his innovative research and active participation in international conferences. Dr. Deprizon is currently the Head of the Civil Department, where he continues to inspire the next generation of engineers. 🌍🏗️

Publication Profile

Strengths for the Award:

  1. Academic and Professional Background: Dr. Deprizon Syamsunur has a strong academic foundation with a PhD, MSc, and Bachelor’s degree in Civil Engineering from reputable institutions. His professional memberships and active involvement in various engineering societies highlight his commitment to continuous professional development and leadership in his field.
  2. Research Contributions: Dr. Deprizon has an impressive record of publications in high-impact journals across diverse areas such as sustainable construction, transportation engineering, and seismic imaging. His work has been cited extensively, with a Google Scholar H-index of 9 and Scopus H-index of 8, reflecting the impact and relevance of his research.
  3. Research Grants: He has successfully secured significant research funding as both a Principal Investigator (PI) and Co-Principal Investigator (Co-PI), demonstrating his ability to attract and manage research projects. His projects address critical areas like coastal resiliency, slope stability, and sustainable pavement, which have practical implications for infrastructure development and safety.
  4. Teaching and Leadership: Dr. Deprizon’s teaching responsibilities, including his role as Head of the Civil Department, coupled with his experience in leading courses related to transportation engineering and sustainable development, show his dedication to shaping the next generation of engineers.
  5. International Collaboration: His participation in international conferences, workshops, and guest lectures, particularly in Indonesia and Malaysia, indicates his active engagement in the global academic community, fostering cross-border collaboration and knowledge exchange.

Areas for Improvement:

  1. Broader Dissemination of Research: While Dr. Deprizon has published extensively, there is potential for further dissemination of his work through more international conferences and collaborative projects beyond Southeast Asia. Engaging in research activities and partnerships in diverse geographical regions could enhance the global reach of his research.
  2. Innovation in Research: Although his work is impactful, focusing on pioneering innovative methodologies or technologies within his research area could further elevate his profile. Exploring cutting-edge technologies such as AI in civil engineering or integrating smart technologies in construction could be potential areas for further exploration.
  3. Interdisciplinary Research: Expanding his research focus to include more interdisciplinary projects, particularly those that bridge civil engineering with emerging fields like data science, environmental engineering, or smart infrastructure, could enhance the scope and impact of his research.

Education

Dr. Deprizon Syamsunur holds a Ph.D. in Civil Engineering from Universiti Kebangsaan Malaysia (UKM) (2009). He also earned his M.Sc. in Civil Engineering from the same institution in 2005 and a Bachelor’s degree in Civil Engineering from Universitas Islam Indonesia (UII) in 2001. 🎓📚

Experience

Dr. Deprizon has an extensive teaching career, starting as an Assistant Lecturer at Universitas Islam Indonesia and advancing to senior lecturer roles at Universiti Kebangsaan Malaysia (UKM) and the University of East London’s Malaysia branch. He currently serves as the Head of the Civil Department and teaches various specialized courses in transportation and geomatics. 🏛️👨‍🏫

Research Focus

His research interests are broad and include sustainable transportation, construction safety, the utilization of waste materials in construction, and the application of advanced seismic imaging techniques for slope stability analysis. Dr. Deprizon is actively involved in research projects that aim to improve infrastructure resilience and sustainability. 🚧🌱

Awards and Honours

Dr. Deprizon has been recognized for his contributions to civil engineering, holding leadership roles in professional bodies such as The Institution of Engineers Indonesia (Malaysia Branch) and the Transportation Science Society of Malaysia. He continues to play a pivotal role in shaping the future of engineering education and research. 🏆🎖️

Publication Top Notes

Identification of Impeding Factors in Utilizing Prefabrication during the Lifecycle of Construction Projects: An Extensive Literature Review. Buildings, 2024. Link – Cited by 20 articles.

Process Monitoring in Hybrid Electric Vehicles Based on Dynamic Nonlinear Method. Journal of Applied Engineering Science, 2024. Link – Cited by 15 articles.

The Development of the Smart Factory during the Industry 4.0 Period under the Study of System Thinking. SSRN, 2024. Link – Cited by 10 articles.

Enhancing the Performance of Zero Energy Buildings with Boosted Coyote Optimization and Elman Neural Networks. Energy Reports, 2024. Link – Cited by 25 articles.

Analysis of Sustainability Performance of Energy and Water in Subsidized Housing Using Green Building Approach in Pekanbaru City. SIKLUS Journal Teknik Sipil, 2024. Link – Cited by 5 articles

Conclusion:

Asst. Prof. Ir. Dr. Deprizon Syamsunur is a strong candidate for the Research for Best Researcher Award. His substantial contributions to civil engineering research, significant publication record, successful acquisition of research grants, and active involvement in professional organizations make him a distinguished researcher. With some strategic advancements in international collaboration, innovation, and interdisciplinary research, he could further solidify his position as a leading researcher in his field.

 

 

Ruslan Asfandiyarov | Engineering | Best Researcher Award

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Mr. Ruslan Asfandiyarov | Engineering | Best Researcher Award

Researcher, Independent, Switzerland

Ruslan Asfandiyarov is a seasoned professional with a 19-year career that spans theoretical physics, data science, and AI. He has made significant strides in digital transformation across various sectors, including medical devices and renewable energy. Ruslan’s expertise blends fundamental science, engineering, and advanced data analysis, leading to patents in microelectronics and sensor design. His leadership, combined with extensive multi-cultural experience, has positioned him as a visionary in navigating complex interdisciplinary landscapes. 🌟🔬

Profile

 

Strengths for the Award

  1. Innovative Contributions: Ruslan Asfandiyarov has a strong record of pioneering advancements in data science, AI, and digital transformation. His work in medical devices, renewable energy, and next-gen technology solutions aligns well with the award’s focus on community impact.
  2. Global Experience and Leadership: His leadership roles across multiple sectors and international experience demonstrate his capability to drive impactful research and development. This global perspective is beneficial for understanding and addressing diverse community needs.
  3. Significant Achievements:
    • MedTech Innovations: Co-founding Spiden and developing new diagnostic medical devices shows a direct impact on healthcare.
    • Renewable Energy: His work in geothermal and solar power projects contributes to sustainable development and environmental protection.
    • AI and Digital Transformation: His involvement in digital transformation and AI research, including applications in labor market analysis, showcases his commitment to leveraging technology for societal benefits.
  4. Academic and Industry Accomplishments:
    • Contribution to Nobel Prize-winning research and substantial patents in various fields underscore his research excellence.
    • His high citation impact and recognition in Swiss media highlight his influence in the scientific and entrepreneurial communities.
  5. Strategic Vision and Execution: His ability to secure funding, scale startups, and build cross-functional teams reflects his strategic planning and execution skills.

Areas for Improvement

  1. Direct Community Engagement: While his innovations have broad impacts, the profile could benefit from more explicit examples of how his work has directly engaged and benefited specific communities or underserved populations.
  2. Documentation of Community Impact: Providing more detailed case studies or data on how his projects have improved community health, economic conditions, or environmental sustainability would strengthen his application.
  3. Integration of Community Feedback: Demonstrating how community feedback has shaped his projects or led to adaptations that better serve community needs would be valuable.

Education

Ruslan earned his PhD in Physics from the University of Geneva and Rutherford Laboratory, Oxford, UK (2010–2014). He also holds a degree in Engineering & Physics from National Research Nuclear University, Moscow, Russia (2001–2007), where he specialized in experiments in natural sciences and engineering. 🎓📚

Experience

Ruslan has held influential roles including Adviser on Digital Transformation and AI at the Ministry of Labor in Qatar, AI Researcher, and Founder & CEO of Deepeex. He has also founded and co-founded several ventures, including startups and consulting firms, raising over CHF 20 million and creating numerous high-paid jobs. His career highlights include contributing to a Nobel Prize-winning discovery and managing significant projects in space science and medical technology. 🚀💼

Research Interests

Ruslan’s research interests encompass AI and data science, particularly in the intersection of Large Language Models (LLMs) with scientific discovery and creativity. He explores how AI can augment scientific inference and has a strong focus on Natural Language Processing (NLP), machine learning, and high-performance computing. 🤖🔍

Awards

Ruslan’s accolades include being featured by Bilan magazine as a top entrepreneur in Swiss Romand and his startup, Spiden, being named the No.1 MedTech venture in 2021 by Top 100 Swiss Startups. His h-index of 103 underscores his impactful contributions to the field. 🏆🌍

Publications

  1. The ATLAS Simulation Infrastructure
    ATLAS Collaboration. The European Physical Journal C, 2010.Link
  2. Improved Luminosity Determination in pp Collisions Using the ATLAS Detector at the LHC
    ATLAS Collaboration. The European Physical Journal C, 2013.Link
  3. Performance of Missing Transverse Momentum Reconstruction in Proton-Proton Collisions at √s = 7 TeV with ATLAS
    ATLAS Collaboration. The European Physical Journal C, 2012.Link
  4. Measurement of the Inclusive Isolated Prompt Photon Cross Section in pp Collisions at √s = 7 TeV with the ATLAS Detector
    ATLAS Collaboration. arXiv preprint arXiv:1012.4389, 2010.Link
  5. Observation of a Centrality-Dependent Dijet Asymmetry in Lead-Lead Collisions at √sNN = 2.76 TeV with the ATLAS Detector at the LHC

 

Jinwei Bu | Engineering | Best Researcher Award

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Dr. Jinwei Bu | Engineering | Best Researcher Award

Master Supervisor, Kunming University of Science and Technology, China

👨‍🏫  Dr. Jinwei Bu, a dedicated researcher and member of IEEE, is currently a Master Supervisor at the Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China. With a robust academic and research background, Dr. Bu has significantly contributed to the fields of geodesy and surveying engineering through his extensive publications and active involvement in the scientific community.

Profile

Google Scholar

 

Strengths for the Award

  1. Strong Academic Background: Jinwei Bu has a solid educational foundation in surveying and mapping engineering, geodesy, and surveying engineering, which are crucial for research impacting communities through environmental and spatial informatics.
  2. Extensive Research Experience: With over 50 refereed journal articles authored or coauthored, Dr. Bu has made significant contributions to his field. His publications indicate a robust research portfolio.
  3. International Collaboration: His experience as a Visiting Ph.D. Student at the Universitat Politècnica de Catalunya (UPC) in Spain highlights his international research exposure and collaboration.
  4. Leadership in Academia: Currently serving as a Master Supervisor at Kunming University of Science and Technology, Dr. Bu is in a position to mentor the next generation of researchers, amplifying his impact on the community.
  5. Reviewer for Prestigious Journals: Serving as a reviewer for over 10 international journals underscores his expertise and recognition in the academic community.
  6. Research Interests with Community Impact: His focus on Global Navigation Satellite Systems (GNSS) reflectometry, atmospheric remote sensing, precision positioning, and machine/deep learning has direct applications in improving navigation, environmental monitoring, and disaster management, all of which have significant community impacts.

Areas for Improvement

  1. Direct Community Engagement: While his research has potential community impact, there could be more direct evidence of engagement with community projects or initiatives that translate his research into tangible community benefits.
  2. Interdisciplinary Collaborations: Increasing collaborations with experts from other fields such as public health, urban planning, and environmental science could broaden the application of his research and enhance its community impact.
  3. Public Outreach and Education: Engaging in more public outreach, workshops, and educational programs to disseminate his research findings to a broader audience, including policymakers and community leaders, could increase the practical application and visibility of his work.

🎓 Education:

Dr. Jinwei Bu received his B.S. degree in Surveying and Mapping Engineering (2016) and his M.S. degree in Geodesy and Surveying Engineering (2018) from Kunming University of Science and Technology, Kunming, China. He earned his Ph.D. degree in Geodesy and Surveying Engineering from the School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China, in 2022.

💼 Experience:

Dr. Bu has held various academic positions, including a Visiting Ph.D. Student role at the Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, from November 2021 to November 2022. Currently, he is serving as a Master Supervisor with the Faculty of Land Resource Engineering at Kunming University of Science and Technology. He has authored or coauthored over 50 refereed journal articles and serves as a reviewer for more than 10 international journals.

🔬 Research Interests:

Dr. Jinwei Bu’s research interests include Global Navigation Satellite Systems (GNSS) reflectometry, GNSS atmospheric remote sensing, GNSS precision positioning, and the application of machine/deep learning techniques in these areas. He is particularly focused on developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms.

🏆 Awards:

Dr. Bu’s excellence in research and contributions to the field have earned him recognition and accolades within the scientific community, underscoring his commitment and impact in geodesy and surveying engineering.

Publications

  1. An indoor Wi-Fi localization algorithm using ranging model constructed with transformed RSSI and BP neural network – IEEE Transactions on Communications, 2022. Cited by: 29
    • Prompt: An innovative approach to indoor Wi-Fi localization using RSSI and neural networks.
  2. Developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms – Remote Sensing, 2020. Cited by: 25
    • Prompt: Breakthrough in sea surface wind speed estimation using GNSS-R technology.
  3. Multi-classification of UWB signal propagation channels based on one-dimensional wavelet packet analysis and CNN – IEEE Transactions on Vehicular Technology, 2022. Cited by: 23
    • Prompt: Cutting-edge multi-classification of UWB signals utilizing wavelet analysis and CNN.
  4. Performance assessment of positioning based on multi-frequency multi-GNSS observations: signal quality, PPP, and baseline solution – IEEE Access, 2020. Cited by: 20
    • Prompt: Comprehensive evaluation of multi-GNSS positioning performance and solutions.
  5. Sea surface rainfall detection and intensity retrieval based on GNSS-reflectometry data from the CYGNSS mission – Publication details pending.
    • Prompt: Novel methodology for sea surface rainfall detection and intensity estimation using GNSS-reflectometry.

Hui Peng | Engineering | Best Researcher Award

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Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Xingjie Xu | Engineering | Best Researcher Award

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Mr. Xingjie Xu | Engineering | Best Researcher Award

Student/Member, Zhejiang University, China

🎓 Xingjie Xu is an accomplished graduate student from Zhejiang University, where he has been honored with titles such as “Outstanding Graduate Student” and “Outstanding Graduate.” With a master’s degree from Zhejiang University, Xingjie focuses his research on Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He has made significant contributions to his field, including publishing articles in esteemed journals and actively participating in innovative research projects.

Profile

ORCID

 

Education

📚 Xingjie Xu earned his master’s degree from Zhejiang University. His academic journey is marked by his achievements as an “Outstanding Graduate Student” and “Outstanding Graduate” at Zhejiang University, where he has excelled in his research and academic pursuits.

Experience

🔬 Xingjie Xu’s experience encompasses notable research in the field of in-memory computing. He has designed low-power and small-area SAR ADCs for in-memory computing and developed current-controlled oscillator-type readout circuits. His hands-on experience in these projects highlights his expertise and dedication to advancing technology in his area of focus.

Research Interests

🧠 Xingjie Xu’s research interests lie in Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He is particularly focused on developing efficient, low-power, and small-area designs for in-memory computing applications, contributing to the advancement of modern computing architectures.

Awards

🏅 Xingjie Xu has received several prestigious awards, including the title of “Outstanding Graduate Student of Zhejiang University” and “Outstanding Graduate of Zhejiang University.” These accolades recognize his exceptional academic performance and contributions to research.

Publications

A 0.0025mm² 8-bit 70MS/s SAR ADC with a Linearity-Improved Bootstrapped Switch for Computation in Memory

Readout Circuit Design for RRAM Array-Based Computing in Memory Architecture

 

Najmeh Zamani | Engineering | Best Researcher Award

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Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

Profile

ORCID

🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety

Hitesh Mohapatra | Engineering | Best Researcher Award

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Assoc Prof Dr. Hitesh Mohapatra | Engineering | Best Researcher Award

Associate Professor, KIIT Deemed to be University, India

🎓 Dr. Hitesh Mohapatra, based in Bhubaneswar, Odisha, India, is a distinguished education professional with over 15 years of experience spanning both academic and corporate environments. He holds a Ph.D. in Computer Science & Engineering from VSS University of Technology (formerly UCE), Burla, Odisha, focusing on Designing Fault Tolerant Models for Wireless Sensor Networks and integrating them with Smart City applications under the supervision of Prof. Amiya Kumar Rath. His academic journey includes an M.Tech in Computer Science & Engineering from Odisha University of Technology and Research and a B.Tech in Information Technology from GIET University, Gunupur, Odisha.

 

Profile

Google Scholar

 

👨‍🎓 Education

Ph.D. in Computer Science & Engineering from VSS University of Technology, Burla, Odisha, India, specializing in Designing Fault Tolerant Models for Wireless Sensor Networks with integration into Smart City applications. M.Tech in Computer Science & Engineering from Odisha University of Technology and Research, Bhubaneswar, Odisha, India. B.Tech in Information & Technology from GIET University, Gunupur, Odisha, India.

👨‍💼 Experience

Current: Associate Professor at KIIT University, Bhubaneswar, Odisha, India. Previous Positions: Associate Professor at KL University, Vijayawada, Andhra Pradesh; Assistant Professor at SRES College of Engineering, Kopargaon, Maharashtra; Sr. Corporate Trainer & Freelancer at iGlue Soft Technologies Pvt. Ltd., Bangalore, Karnataka; Assistant Professor at GITA Autonomous College, Bhubaneswar, Odisha; and other teaching roles.

📚  Research

Extensive teaching experience in subjects like Internet of Things, Cloud Computing, Data Communication, and more. Published extensively in SCIE/SCI and Scopus/ESCI indexed journals on topics like IoT, WSN, and smart city applications. Presented papers at numerous national and international conferences, including SCOPUS indexed events.

🏆 Awards

Actively involved in consultancy projects for organizations like Odisha High Court and TECHNOWELL ENTERPRISE SERVICES Pvt. Ltd. Supervisor for multiple Ph.D. and M.Tech students in their research pursuits.

📘 Publications

Fault Tolerance in WSN Through PE-LEACH Protocol
H Mohapatra, AK Rath
IET Wireless Sensor Systems 9 (6), 358-365
1412019
Detection and Avoidance of Water Loss Through Municipality Taps in India by Using Smart Tap and ICT
H Mohapatra, AK Rath
IET Wireless Sensor Systems 9 (6), 447-457
1152019
Fault-tolerant mechanism for wireless sensor network
H Mohapatra, AK Rath
IET Wireless Sensor Systems 10 (1), 23 – 30
1092020
A Survey on Fault Tolerance Based Clustering Evolution in WSN
H Mohapatra, AK Rath
IET Networks 9 (4), 145-155
932020
IoE based framework for smart agriculture: Networking among all agricultural attributes
H Mohapatra, AK Rath
Journal of Ambient Intelligence and Humanized Computing, 18
872021
Fundamentals of Software Engineering

Adel Hanna | Civil Engineering | Best Researcher Award

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Prof Dr. Adel Hanna | Civil Engineering | Best Researcher Award

Civil Engineering, Concordia University, Montreal, Canada

Dr. Adel M. Hanna, Ph.D., P. Eng., F.ASCE, is a distinguished Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. With a career spanning over four decades, he is renowned for his exceptional contributions to foundation engineering, including groundbreaking research, extensive publications, and influential leadership roles in professional societies.

Profile

Scopus

 

Education 📚

Dr. Hanna completed his Ph.D. in Geotechnical Engineering at the Technical University of Nova Scotia (Dalhousie University) in 1978, focusing on the bearing capacity of footings on layered soils. Prior to that, he earned his M. Eng. from Cairo University and his B. Eng. from Ain-Shams University, both with a specialization in geotechnical and structural engineering.

Experience 👨‍🔬

As a pioneer in geotechnical engineering education, Dr. Hanna introduced the field to Concordia University in 1978. He has since led extensive research endeavors, served as a consultant on various projects globally, and supervised over 100 Master’s and Doctorate degrees. His expertise extends to foundation design, soil-structure interaction, dynamics, and mechanics of foundations, among other areas.

Research Interests 🔬

Dr. Hanna’s research interests encompass a wide range of topics within foundation engineering, including experimental, numerical, and analytical investigations on shallow and deep foundations, difficult soils, and the effects of differential settlement on superstructures. He is also passionate about advancing the understanding of soil-structure interaction and dynamic behaviors of foundations.

Awards 🏆

Dr. Hanna’s contributions to the field have been recognized with prestigious awards such as the G. Geoffrey Meyerhof Award in 2010 for his outstanding contribution to foundation engineering. His dedication and excellence have also earned him recognition from professional societies like the American Society of Civil Engineers (ASCE), where he is a Fellow.

Publications

📝 Here are some of Dr. Hanna’s notable publications:

Hanna, A. M., & Meyerhof, G. G. (1978). “Bearing Capacity of Footings under Vertical and Inclined Loads on Layered Soils.” Geotechnique. Cited by this article.

Hanna, A. M. (2003). “Foundation Engineering for Difficult Soils.” Journal of Geotechnical and Geoenvironmental Engineering. Cited by this article.

Hanna, A. M. (2010). “Soil-Structure Interaction in Shell-Type Foundations.” Canadian Geotechnical Journal. Cited by this article.

Yi Tang | Engineering | Best Researcher Award

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Dr. Yi Tang | Engineering | Best Researcher Award

Lecturer, Yantai University, China

Yi Tang is a Lecturer in the School of Electromechanical and Automotive Engineering at Yantai University, China. With a Doctor of Engineering degree, his expertise lies in Vehicle Engineering, particularly in the sub-division of Antenna Array.

Profile

Scopus

Education 📚

Yi Tang earned his B.S. and M.S. degrees in mechanical engineering from Yantai University, followed by a Ph.D. from the School of Automotive Engineering at Dalian University of Technology.

Experience 🛠️

Yi Tang has been contributing to academia as a Lecturer at Yantai University since May 2024, focusing on research in design optimization within various fields of Vehicle Engineering.

Research Interests 🔬

Yi Tang’s research interests encompass design optimization in MIMO systems, phased arrays, and metamaterials, particularly emphasizing on antenna array technologies.

Awards 🏆

Yi Tang has received the Best Researcher Award for his significant contributions to the field of Vehicle Engineering, particularly in antenna array design optimization.

Publications Top Notes

Non-uniform strip-array decoupling structure of the MIMO antenna-arrays for the DSRC application (2023) – cited 1 time

Gradient-based optimization method for interference suppression of linear arrays by the amplitude-only and phase-only control (2022) – cited 2 times

Pattern synthesis considering mutual coupling for peak sidelobe suppression and null controlling via element rotation and phase optimization (2022) – cited 5 times

Shape optimization method for curved-groove DGS of MIMO antenna-array based on the trigonometric function expansion (2021) – cited 3 times

Optimization method for pattern synthesis of sparse planar arrays considering mutual coupling and nonoverlapping constraint (2020) – cited 10 times