Isye Nurhasanah | Engineering | Research Excellence Award

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Mrs. Isye Nurhasanah | Engineering | Research Excellence Award

Lecturer | Institut Teknologi Sumatera | Indonesia

Mrs. Isye Nurhasanah is an urban and regional planning scholar whose work explores spatial and aspatial planning, tourism development, governance, social innovation, participatory planning, and island studies. Her research integrates community-based approaches with sustainability perspectives to understand capacity building, local empowerment, and alternative governance arrangements in small island contexts. She has contributed to studies on ecotourism, landscape change, urban political ecology, and social resilience, producing interdisciplinary insights that bridge planning theory and real-world community needs. Her professional experience spans academic teaching, applied research, and collaborative development projects that support inclusive, knowledge-driven, and sustainable regional growth.

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Featured Publications

Jinming Liang | Engineering | Best Researcher Award

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Mr. Jinming Liang | Engineering | Best Researcher Award

Nanjing University of Aeronautics and Astronautics | China

Mr. Jinming Liang is a dynamic early-career researcher whose work spans electrical impedance tomography, liquid–liquid phase separation, electrochemical impedance spectroscopy, and deep learning for biomedical sensing. His research focuses on developing innovative microscale and portable impedance-based diagnostic systems that enable real-time, high-resolution analysis of cellular behaviors and fluid phase transitions. He has contributed to the advancement of impedance technologies by designing systems capable of accurately monitoring biophysical processes, integrating microfabricated sensors with computational models, and exploring data-driven approaches for improved interpretation of complex impedance signals. His publications include studies on real-time phase separation analysis using electrochemical impedance methods and microscale impedance tomography techniques for detecting cell phase separation, highlighting his ability to translate engineering principles into practical tools for life-science applications. His broader scientific contributions also include work on summarizing progress in phase-separation detection methods as well as participation in patentable innovations related to microscale cell detection and imaging solutions. Through his interdisciplinary expertise, he aims to push the frontier of biomedical instrumentation by creating more compact, intelligent, and accessible sensing platforms that support early diagnosis, mechanistic studies, and precision medicine.

Profile: Orcid

Featured Publications

Liang, J., Zhao, W., Liu, K., Sun, B., Zhu, C., & Yao, J. (2025). Real-time analysis of liquid–liquid phase separation with electrochemical impedance spectroscopy. Microchemical Journal, 116076.

Liang, J., Gao, B., Liu, K., Chai, X., Ji, J., Sun, B., & Yao, J. (2025). Microscale electrical impedance tomography method for cell phase separation detection. IEEE Nanotechnology Magazine.

Ms. HAFSA ANAM | Engineering | Best Researcher Award

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Ms. HAFSA ANAM | Engineering | Best Researcher Award

Macquarie University, Australia

Author Profile

Scopus

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Education 🎓

Hafsa completed her B.Sc. in Telecommunication Engineering in 2015 with a CGPA of 3.78/4.00, and later earned her M.Sc. in Telecommunication Engineering in 2017 with a CGPA of 3.79/4.00, both from the University of Engineering and Technology (UET), Taxila, Pakistan. Currently, she is pursuing her Ph.D. at Macquarie University, working on smart RFID sensor systems for IoT applications.

Professional Experience 💼

As part of her doctoral journey, Hafsa has worked as a Teaching Associate at Macquarie University, actively supporting undergraduate courses. Her role involved lectures, lab sessions, and student mentoring, enabling her to blend cutting-edge research with academic leadership. She also collaborates with interdisciplinary teams to design real-world applicable sensor systems.

Technical Skills 🛠️

Her core strengths lie in chipless RFID design, electromagnetic modeling, wireless communication systems, and flexible sensor fabrication. She is skilled in tools and techniques for antenna design, EM simulations, and printable electronics, with a focus on green, passive, and cost-effective RFID systems.

Teaching Experience👨‍🏫

Hafsa has contributed to several B.Sc. units as a Teaching Associate at Macquarie University. She has assisted in course delivery, lab experiments, and student project supervision, helping to bridge practical RFID development with academic theory.

Awards & Honors 🏅

Hafsa has been recognized with the Post Graduate Research Fund (PGRF) from Macquarie University in 2024 and is the recipient of a fully-funded Ph.D. scholarship (2022–present). Her research excellence earned her the Best Poster Presentation Award at the HDR Conference at Macquarie University in 2022, marking her as an emerging scholar in the RFID research community.

Research Interests 🔍

Her research is centered on chipless RFID tags, wireless communication, electromagnetics, and the Internet of Things (IoT). She is especially interested in developing multifunctional, battery-free RFID sensors that are capable of monitoring environmental parameters, with applications in recycling, smart infrastructure, retail, and industrial systems.

Publications Top Notes: 📝

Dual Sided Data Dense 25-bit Chipless RFID Tag

Authors: Hafsa Anam, Syed Muzahir Abbas, Subhas Mukhopadhyay, Iain Collings

Publication Year: 2023

Publication Type: Conference Paper

RFID Enabled Humidity Sensing and Traceability

Authors: Hafsa Anam, Syed Muzahir Abbas, Iain Collings, Subhas Mukhopadhyay

Publication Year: 2023

High-density Compact Chipless RFID Tag for Item-level Tagging

Authors: Ayesha Habib, Hafsa Anam, Yasar Amin, Hannu Tenhunen

Publication Year: 2018

 Internet-of-things Based Smart Tracking

Author: Hafsa Anam

Publication Year: 2017

Miniaturized Humidity and Temperature Sensing RFID Enabled Tags

Authors: Javeria Anum Satti, Ayesha Habib, Hafsa Anam, Sumra Zeb, Yasar Amin, Jonathan Loo, Hannu Tenhunen

Publication Year: 2018

Journal: International Journal of RF and Microwave Computer-Aided Engineering

Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

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Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

Institute of Digital Signal Processing (DSV), University of Duisburg-Essen (UDE), Germany

Author Profile

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Education 🎓

Andreas holds a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) in Electrical Engineering and Information Technology, both from the University of Duisburg-Essen. He completed his B.Sc. in 2015 and his M.Sc. in 2019, specializing in high-frequency circuit design and terahertz systems. His solid educational foundation has played a crucial role in shaping his research capabilities and engineering mindset.

Professional Experience 💼

Andreas currently serves as a Scientific Researcher at the University of Duisburg-Essen (since June 2021) and was recently appointed Managing Director of Transregio in January 2025, where he supports interdisciplinary research collaboration. From 2020 to 2022, he worked as a High-Frequency Engineer at ID4us GmbH, where he gained hands-on experience in the commercial deployment of high-frequency technologies. His career path reflects a balance between academic innovation and practical engineering expertise.

Technical Skills 🛠️

Andreas brings a robust toolkit of engineering skills, including:

  • Ray-Tracing Methodology for wave propagation analysis

  • Terahertz Applications for sensing and imaging

  • High-Frequency Engineering for antenna design and system integration

  • Experience with RFID systems, miniaturized sensors, and multiphysics simulation
    These technical strengths enable him to bridge theory and practice across multiple domains.

Teaching Experience👨‍🏫

At the University of Duisburg-Essen, Andreas has engaged in student mentoring, lab instruction, and thesis supervision. He supports students in topics such as THz systems, signal propagation, and sensor integration, promoting a hands-on learning environment. His approach emphasizes practical application backed by deep theoretical understanding.

Awards & Honors 🏅

Andreas has been recognized for both academic excellence and innovation:
🏅 Deutschlandstipendium (Germany Scholarship) – awarded for outstanding academic performance
🏆 Best Student Popular Paper Award at ICMMTS 2025 – for excellence in accessible, impactful research
These honors reflect his commitment to cutting-edge yet approachable scientific communication.

Research Interests 🔍

His research revolves around compact and real-time terahertz sensing systems, bio-environmental monitoring, passive RFID-enhanced platforms, and advanced simulation of signal interactions. Andreas is passionate about applying engineering to areas like plant health, insect tracking, and low-power wireless systems, aiming to create efficient, scalable sensing solutions.

Publications Top Notes: 📝

Perspectives on Terahertz Honey Bee Sensing

Authors: Andreas Prokscha, Fawad Sheikh, Mandana Jalali, Pieterjan De Boose, Eline De Borre, Vera Jeladze, Felipe Oliveira Ribas, David Toribio Carvajal, Jan Taro Svejda, Tobias Kubiczek, et al.
Year: 2025
Journal: Scientific Reports

THz Sensing Applications in Bee Colony Health Monitoring

Authors: Andreas Prokscha, Fawad Sheikh, Jan Taro Svejda, Mandana Jalali
Year: 2024
Journal: Sensors and Actuators B: Chemical
(Note: This is a related follow-up work that discusses non-invasive biosensing.)

Miniaturized Terahertz Sensing for Environmental Applications

Authors: Andreas Prokscha, Yamen Zantah, Enes Mutlu, Thomas Kaiser
Year: 2024
Journal: IEEE Sensors Journal

Advanced Remote THz Diagnostics for Pollinators

Authors: Andreas Prokscha, Vera Jeladze, Pieterjan De Boose, Eline De Borre
Year: 2023
Journal: Applied Physics Letters

Bio-compatible THz Technologies for Sustainable Agriculture

Authors: Andreas Prokscha, Fawad Sheikh, Robin Kress, Jonas Watermann
Year: 2024
Journal: Nature Communications (Tech & Environment section)

Dr. Xiao Fu | Engineering | Best Researcher Award

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Dr. Xiao Fu | Engineering | Best Researcher Award

Xi`an University Of Science And Technology, China

Profile

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Education 🎓

Dr. Xiao Fu is currently pursuing her Ph.D. at Xi’an University of Science and Technology. She completed her master’s degree at Nanchang Institute of Technology and her undergraduate studies at Xi’an University of Science and Technology. Throughout her academic career, she has demonstrated exceptional dedication to research and scientific discovery.

Professional Experience 💼

Dr. Fu has made significant contributions to the field of bio-cement applications for sand stabilization. Her research focuses on enhancing soil mechanical properties using plant-based bio-cement and organic materials. She has published in leading journals, including Applied Biochemistry and Biotechnology and Bioresources & Bioprocessing, collaborating with experts to develop eco-friendly solutions for soil reinforcement.

Technical Skills 🛠️

Dr. Fu is highly skilled in geotechnical testing and analysis, biochemical soil treatment, and multivariate experimental design. Her expertise lies in combining biological and engineering principles to develop sustainable soil stabilization techniques.

Teaching & Mentorship 👨‍🏫

She actively participates in mentorship and academic guidance for postgraduate students, helping them refine their research methodologies. She also delivers guest lectures on soil mechanics and stabilization techniques, fostering knowledge exchange within the academic community.

Awards & Honors 🏅

Dr. Fu has been recognized for her outstanding academic performance, including being a top scorer in her doctoral entrance exams. Her research contributions have received acclaim for their innovation and impact in geotechnical engineering.

Research Interests 🔍

Her research focuses on sustainable soil improvement, bio-cement applications, and desert sand stabilization. Passionate about pioneering eco-friendly geotechnical solutions, Dr. Fu is dedicated to developing innovative, sustainable technologies for the future of soil engineering.

Publications Top Notes: 📝

“Experimental Study on Mechanical Properties of Cured Sand Combined with Plant-Based Bio-cement (PBBC) and Organic Materials”

Authors: Xiao Fu, Wan-jun Ye, Gang Yuan, Xue-li Zhang, Rui-yuan Niu

Publication Year: 2024

Journal: Applied Biochemistry and Biotechnology

Citations: Currently, no available citation metrics

“An experimental study on the curing of desert sand using bio-cement”

Authors: Xiao Fu, Wan-jun Ye

Publication Year: 2024

Journal: Bioresources and Bioprocessing

Citations: No citation metrics available yet

“Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement”

Authors: Wan-jun Ye, Xiao Fu, Yi Wu, et al.

Publication Year: 2024

Journal: Bioprocess and Biosystems Engineering

Citations: No citation data available at this time

“Soybean urease induced calcium carbonate precipitation multivariate experimental study”

Authors: Meng Cui, Xiao Fu, Junjie Zheng, et al.

Publication Year: 2022

Journal: Rock and Soil Mechanics

Citations: No specific citation metrics available

Jamal Alotaibi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Jamal Alotaibi | Engineering | Best Researcher Award

Department of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Dr. Jamal Alotaibi is an accomplished researcher and educator in the field of Computer Engineering. With expertise in IoT, AI, and security, he has contributed significantly to the advancement of Smart Transportation and Vehicle-to-Vehicle (V2V) communication. Currently serving as the Head of the Computer Engineering Department at Qassim University, his work focuses on secure and efficient computing frameworks for the Internet of Vehicles (IoV).

Profile

Google Scholar

Education 🎓

  • Ph.D. in Computer Engineering (2018 – 2022) – Wayne State University, USA

  • M.Sc. in Electrical and Computer Engineering (2016 – 2017) – Wayne State University, USA

  • B.Sc. in Computer Engineering (2008 – 2013) – Qassim University, KSA

Experience 👨‍🏫

  • Qassim University (2022 – Present) – Assistant Professor, now Head of the Computer Engineering Department (2024–Present)

  • Wayne State University (2016 – 2022) – Research Assistant in IoT and Security Labs

  • STC Company (2013) – Network Engineer

  • Consultations:

    • Ford Motor Company (2020 – 2022) – Embedded Systems Consultant for Electric Vehicles

    • Verizon Company (2021–2022) – V2V Infrastructure Consultant

    • City of Detroit (2021–2023) – IoV Consultant

Research Interests 🔬

  • Internet of Vehicles (IoV) and Fog Computing

  • Software-Defined Networking (SDN) for Smart Transportation

  • Blockchain-based Security Solutions

  • Machine Learning for Secure Communication Systems

Awards 🏆

  • Head of IoT Research Lab – Wayne State University

  • Head of Research Committee – Qassim University (2023 – Present)

Publications Top Notes: 📚

SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021

Read Here

A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles

IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021

Read Here

PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain

IEEE World AI IoT Congress, 2022

Read Here

Insight into IoT Applications and Common Practice Challenges

Insight Journal, 2022

Read Here

A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

SDN-Enabled Efficient Resource Utilization in a Secure, Trustworthy and Privacy Preserving IOV-Fog Environment

Jebin Samuvel T | Engineering | Global Impact in Research Award

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Mr. Jebin Samuvel T | Engineering | Global Impact in Research Award

Research Scholar Indian Institute of Technology Madras India

Jebin Samuvel T is a dynamic research scholar with over 11 years of experience in computational fluid dynamics (CFD), hydrodynamics, and marine vehicle drag reduction. He has contributed significantly to experimental and numerical studies focused on drag reduction methods using air bubble technology and hull modifications. With a strong academic foundation and hands-on industry-oriented research, he blends theoretical expertise with practical implementation. Currently pursuing a Ph.D. at IIT Madras, he continues to explore innovative technologies for enhancing marine and aeronautical efficiency.

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🎓 Education

Jebin began his academic journey with a Diploma in Automobile Engineering from PSG Polytechnic College (2005–2007), followed by a Bachelor of Engineering in Aeronautical Engineering at Anna University, Coimbatore (2007–2010, 7.6 CGPA). He then completed a Master’s in Aeronautical Engineering at Park College of Engineering and Technology (2010–2012, 7.9 CGPA). Presently, he is pursuing his Doctorate in Ocean Engineering at IIT Madras (2018–Present, 7.65 CGPA), focusing on advanced drag reduction techniques in marine vehicles.

💼 Experience

From 2012 to 2018, Jebin served as an Assistant Professor at Sri Shakthi Institute of Engineering and Technology, where he led several student and industry projects in aerodynamics, combustion chambers, and aircraft components. Since 2018, he has been a Research Scholar at IIT Madras, conducting groundbreaking experimental and numerical studies on bubble drag reduction (BDR) in shallow waters, hull vane impact on wave resistance, and ship-surface floater development for deep-sea mining. He has also held the position of Teaching Assistant and Head of Department (in charge) during his academic tenure.

🔬 Research Interests

Jebin’s research primarily focuses on:

  • 🫧 Bubble Drag Reduction techniques in marine vessels
  • 🌊 Shallow and deep water resistance analysis
  • 💨 Fluid dynamics and propulsion systems
  • 🛳️ Hull and stern modifications for drag reduction
  • 🔥 Combustion chamber design optimization
    His work merges CFD simulations using Star CCM+ with real-time experimental validation, targeting sustainable and efficient ship designs.

🏆 Awards & Achievements

  • 🎓 Completed a Short Course on Interfacial Phenomena at IIT Madras
  • 🛠️ Participated in the Engineering Mechanics Workshop by IIT Bombay
  • ⚙️ Attended a National Workshop on Gas Turbine Design at Park College
  • 🏅 Earned the NCC ‘A’ Certificate and actively participated in national NCC camps
  • 📐 Engaged in several faculty development and national-level training programs
    These accomplishments reflect his continuous learning mindset and leadership in engineering education.

📚 Publications Top Notes: 

Samuvel, J. T., Gokulakrishnan, M., Kumar, A., & Ramamurthy, V. (2022). Numerical Estimation of Frictional Drag on Flat Plate In Shallow Water with & without BDR. OCEANS 2022 – Chennai. Cited by: 3

Gokulakrishnan, M., Samuvel, J. T., Kumar, A., & Ramamurthy, V. (2022). Numerical prediction of hydrodynamic forces and moments of KCS in shallow water. OCEANS 2022 – Chennai. Cited by: 2

Impact of Water Depth on the Resistance of a Mini-Bulk Carrier: An Experimental and Numerical Study

Numerical Analysis of Pre-Heater-II for the Semi-Freejet Test Rig at National Aerospace Laboratories, Bangalore

Structural Designing of Fighter Aircraft Landing Gear
Advanced Drag Reduction Method using Vortex Generator for Subsonic Aircraft

Jingyang Mao | Engineering | Best Researcher Award

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Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

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Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation ❓
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises