Yaman Salem | IoT Digital Forensics | Best Researcher Award

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Mrs. Yaman Salem | IoT Digital Forensics | Best Researcher Award

Cybersecurity Consultent of Security F, Palestine

Yaman Monther Salem is a dedicated Cybersecurity Subject Matter Expert, combining extensive professional experience and academic knowledge to advance the field of cybersecurity. With numerous publications, patents, and research projects under his belt, Yaman excels in IoT digital forensics and cybersecurity awareness. His commitment to staying ahead of emerging cyber risks through content development and research makes him a leader in his domain. πŸŒπŸ”πŸ’‘

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

Yaman holds an MSc in Cybercrime and Digital Forensics, complemented by a Bachelor’s degree in Telecommunications Engineering. His academic qualifications provide a solid technical and strategic foundation in cybersecurity, bolstered by advanced computer skills. His research efforts have been widely recognized, with papers published in top journals, including a Q1 Elsevier article and several others indexed in Scopus.

πŸ’Ό Professional Experience :

Yaman’s career in cybersecurity began as an Associate Information Security Consultant, where he gained practical experience with key security protocols. He later progressed to the role of Security Awareness Content Team Leader, managing the development of educational materials on cybersecurity. Currently, Yaman is a Subject Matter Expert in Content Development and Authoring at Security Fist, focusing on creating specialized content that tackles emerging cybersecurity threats. His expertise spans digital forensics, IoT security, and cybersecurity awareness, making significant contributions to the field.

πŸ“š Research Interests :Β 

Yaman’s research focuses on cybersecurity, with particular emphasis on IoT digital forensics, where he investigates challenges like extracting digital evidence from diverse IoT devices and overcoming resource constraints. His work addresses the complexities of network forensics in smart devices, particularly in scenarios where data is encrypted, offering critical guidelines for digital investigators. He has published multiple papers on IoT security, cybersecurity awareness, and digital forensics in top-tier journals.

πŸ“ Publication Top Notes :

  1. Salem, Y., & Hamarsheh, M.M.N. (2024). Forensically analyzing IoT smart camera using MAoIDFF-IoT framework. Forensic Science International: Digital Investigation, 51, 301829.
  2. Salem, Y., Owda, M., & Owda, A.Y. (2023). A comprehensive review of digital forensics frameworks for Internet of Things (IoT) devices. Proceedings of the 2023 International Conference on Information Technology: Cybersecurity Challenges for Sustainable Cities (ICIT 2023), 89–96.
  3. Salem, Y., Owda, M., & Owda, A.Y. (2023). An experimental approach for locating WhatsApp digital forensics artefacts on Windows 10 and the cloud. International Journal of Electronic Security and Digital Forensics, 15(3), 281–300.
  4. Salem, Y., & Daraghmi, E.-Y. (2021). GDPR-Blockchain compliance for personal data: Review paper. Journal of Theoretical and Applied Information Technology, 99(24), 5867–5877.
  5. Salem, Y., Moreb, M., & Rabayah, K.S. (2021). Evaluation of information security awareness among Palestinian learners. Proceedings of the 2021 International Conference on Information Technology (ICIT 2021), 21–26.

 

 

 

Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

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Mr. Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

Postgraduate Research Student of Aston University, United Kingdom

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, specializing in human behavior analysis in smart environments. His research has applications in ambient assisted living, human-robot collaboration, and user-centered building system control. With a Master’s in Mechatronic Engineering from Zhejiang University and a Bachelor’s in Electronics Information Engineering from Liaoning University of Technology, Vincent has gained valuable experience as a Research Assistant at institutions like The Hong Kong Polytechnic University and Westlake University. His expertise spans activity recognition, vision-based monitoring technologies, and smart building systems. He has received several awards, including Best Paper Runner-Up at the International Conference on AI in Healthcare (2024), and has contributed to numerous publications in high-impact journals. βœ¨πŸ€–πŸ 

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, where he focuses on human behavior analysis in smart environments, with key applications in ambient assisted living, human-robot collaboration, and user-centered building system control. He holds a Master of Engineering in Mechatronic Engineering from Zhejiang University (2018-2021) and a Bachelor of Engineering in Electronics Information Engineering from Liaoning University of Technology (2014-2018).

πŸ’Ό Professional Experience :

Professionally, Vincent has been a Postgraduate Teaching Assistant at Aston University since October 2022, where he also mentors students and engages in research. Prior to this, he served as a Research Assistant at The Hong Kong Polytechnic University (2021-2022) and Westlake University (2021). His dedication to academia is reflected in his contributions to several high-impact conferences and journals, earning recognition such as the Best Paper Runner-Up Award at the 2024 International Conference on AI in Healthcare and the Best Paper Award at the 22nd International Conference on Construction Applications of Virtual Reality in 2022.

πŸ“š Research Interests :Β 

Vincent’s research interests include activity recognition, user trust in monitoring systems, vision-based technology acceptance in home environments, human-robot collaboration, and smart building systems. His innovative work spans publications on privacy-preserving ambient assisted living, thermal comfort modeling, and IoT-enabled robot skin systems. He actively reviews for leading conferences and journals in his field, such as IROS and ISIE.

πŸ“ Publication Top Notes :

  1. Darras, K., Balle, M., Xu, W., Yan, Y., Zakka Gbouna, V., Toledo, M., Sheng, D., Lin, W., Zhang, B., Lan, Z., Li, F., & Wanger, T. (2024). Eyes on Nature: Embedded Vision Cameras for Multidisciplinary Terrestrial Biodiversity Monitoring. Method in Ecology. Accepted.
  2. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Hierarchical Temporal Convolution Network: Towards Privacy-Centric Activity Recognition. 16th International Conference on Ubiquitous Computing and Ambient Intelligence. Accepted.
  3. Zakka Gbouna, V., Lee, M., Zhang, R., Huang, L., Jung, S., & Hong, T. (2024). Non-invasive vision-based personal comfort model using thermographic images and deep learning. Automation in Construction, 105811. https://doi.org/10.1016/j.autcon.2024.105811
  4. Zakka Gbouna, V., & Lee, M. (2024). A generalized thermal comfort model using thermographic images and compact convolutional transformers: Towards scalable and adaptive occupant comfort optimization. Building and Environment, 112118. https://doi.org/10.1016/j.buildenv.2024.112118
  5. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Action Recognition for Privacy-Preserving Ambient Assisted Living. International Conference on AI in Healthcare, 15. https://doi.org/10.1007/978-3-031-67285-9_15
  6. Xie, K., Lee, M., Khalid, R., & Zakka Gbouna, V. (2023). The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity. Energy and Buildings, 113552. https://doi.org/10.1016/j.enbuild.2023.113552
  7. Zakka Gbouna, V., & Lee, M. (2022). An Integrated Design of Energy and Indoor Environmental Quality System for Effective Building Performance Management. Proceedings of the 22nd International Conference on Construction Applications of Virtual Reality.
  8. Zakka Gbouna, V., Pang, G., Yang, G., Hou, Z., Lv, H., Yu, Z., & Pang, Z. (2021). User-interactive robot skin with large-area scalability for safer and natural human-robot collaboration in future telehealthcare. IEEE Journal of Biomedical and Health Informatics, 3082563. https://doi.org/10.1109/JBHI.2021.3082563 (Featured on Cover Paper)
  9. Zakka Gbouna, V., Hou, Z., Pang, G., Yang, H., & Yang, G. (2021). IoT-Enabled Robot Skin System for Enhancement of Safe Human-Robot Collaboration. International Conference on Intelligent Robotics and Applications, 43. https://doi.org/10.1007/978-3-030-89098-8_43
  10. Heng, W., Pang, G., Zakka Gbouna, V., Pang, Z., Yi, K., & Yang, H. (2019). Facile Fabrication of Highly Soft Tactile Sensor based on Porous Sponge with Geometry Effect on Sensing Characteristics. 2nd IEEE International Flexible Electronics Technology Conference. https://doi.org/10.1109/IFETC46817.2019.9073774

 

 

 

 

Ashok J | Ubiquitous Computing | Best Researcher Award

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Dr. Ashok J | Ubiquitous Computing | Best Researcher Award

Associate Professor at AnnasahebDange College of Engineering and Technology, Ashta, India

Dr. John Ashok Henry is an Associate Professor in the Department of Computer Science and Engineering at Annasaheb Dange College of Engineering and Technology, specializing in the Internet of Things, Cyber Security, and Blockchain Technology. With 18 years of teaching experience, he holds a PhD in Applied Electronics from Prist University. His research interests include machine learning, image processing, and neural networks, with multiple publications in renowned journals. Dr. Henry is actively involved in academic service, including roles as Research Cell Coordinator and NBA Coordinator, and has delivered guest lectures and participated in numerous conferences and workshops. He is a life member of IAENG and ISTE, and is dedicated to innovative teaching and research in engineering education.

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

Dr. John Ashok Henry holds a Ph.D. in Applied Electronics, which he completed in 2016 at Prist University. He earned his Master’s degree in Applied Electronics in 2005 from R.V.S. Engineering College in Dindugal, affiliated with Anna University, Chennai, where he achieved a mark of 63%. Dr. Henry completed his Bachelor’s degree in Electrical and Electronics Engineering (EEE) in 2003 at JAIET College of Engineering and Technology, Chennai, graduating with a mark of 61%. His academic journey also includes completing his Higher Secondary Certificate (H.S.C.) in 1998 from Pachaiyappa’s Higher Secondary School, with a commendable score of 80%. He completed his Secondary School Leaving Certificate (S.S.L.C.) in 1995 at Ramaswamy Chettiar’s Town Higher Secondary School, achieving a mark of 81.4%. Dr. Henry’s educational background has equipped him with a solid foundation in electronics and engineering principles, complementing his research interests in Machine Learning, Image Processing, Neural Networks, and the Internet of Things.

πŸ’Ό Professional Experience :

  • Associate Professor
    Annasaheb Dange College of Engineering and Technology, Maharashtra
    Department of CSE (Internet of Things and Cyber Security including Blockchain Technology)
    August 21, 2023 – Present (8 months)
  • Associate Professor
    V.S.B Engineering College, Karur
    July 15, 2022 – August 10, 2023 (1 year)
  • Associate Professor
    Eritrea Institute of Technology, Asmara, Eritrea
    July 19, 2019 – August 20, 2021 (2 years)
  • Professor
    Annasaheb Dange College of Engineering and Technology, Maharashtra
    January 3, 2017 – June 2, 2019
  • Associate Professor
    Star Lion College of Engineering and Technology, Thanjavur
    4.8 years
  • Assistant Professor
    Arasu Engineering College, Kumbakonam
    3 years
  • Assistant Professor
    Periyar Maniyammai University
    2 years
  • Lecturer
    Mangalam College of Engineering, Kottayam, Kerala
    2 years

Total Experience: 18 Years

πŸ“š Research Interests :Β 

  • Machine Learning
  • Image Processing
  • Neural Networks
  • Internet of Things

πŸ“ Publication Top Notes :

  1. Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework, Measurement: Sensors, Elsevier, Volume 31, February 2024, DOI: 10.1016/j.measen.2023.100982
  2. Securing the Information using Improved Modular Encryption Standard in Cloud Computing Environment, KSII Transactions on Internet and Information Systems, November 2023, DOI: 0.3837/tiis.2023.02.013
  3. A Novel Design of 9 Level Cascade Multi-level Inverter for Decoupled Double Synchronous Reference Frame in State Delay Controller, Journal of Engineering Research, June 2023, DOI: 10.1016/j.jer.2023.100106
  4. A Novel Predicting Students Performance Approach to Competency & Hidden Risk Factor Identifier using Various Machine Learning Classifiers, IOS Press Journal, Volume 44, Issue 6, June 2023, DOI: 10.3233/JIFS-224586
  5. A Novel Framework for Optimizing the Edge Network Node for Wearable Devices, Measurement: Sensors, Elsevier, Volume 27, June 2023, DOI: 10.1016/j.measen.2023.100740
  6. A Deep Learning Approach to Detecting Objects in Underwater Images, International Journal of Cybernetics and Systems, January 2023, DOI: 10.1080/01969722.2023.2166246
  7. A Comprehensive Study and Review of Tuning the Performance on Database Scalability in Big Data Analytics, Journal of Intelligent & Fuzzy Systems, March 2023, DOI: 10.3233/JIFS-223295
  8. A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks, KSII Transactions on Internet and Information Systems, February 2023, DOI: 0.3837/tiis.2023.02.013
  9. Dynamic Time Series Method by Artificial Neural Network (ANN) for Predicting Rainfall in India, Journal of University of Shanghai for Science and Technology, Volume 24, Issue 12, December 2022.
  10. Energy-Aware Constrained Relay Node Deployment and Capacity Maximization for Sustainable Data Transmission in Wireless Sensor Networks, Journal of University of Shanghai for Science and Technology, Volume 24, Issue 12, December 2022.

 

 

 

 

Mohsen Mohammadi | Immersive Human-Building Interactions | Best Researcher Award

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Dr. Mohsen Mohammadi | Immersive Human-Building Interactions | Best Researcher Award

Graduate Researcher at New Jersey Institute of Technology, United States

Dr. Mohsen Mohammadi is a Senior Structural and GeoStructural Engineer at Schnabel Engineering in Jersey City, NJ, with a Ph.D. in Civil and Environmental Engineering from the New Jersey Institute of Technology, where he achieved a 4.0 GPA. His dissertation focused on developing intelligent sensor fusion IoT-enabled devices for smart city applications in facility management. With extensive experience in structural design, project management, and geotechnical engineering, Dr. Mohammadi has led the design of over 200 buildings and played a key role in significant projects, including the tallest building in Iraq, the E1 Tower. His research interests encompass smart construction technologies, water quality assessment, and innovative flood mitigation strategies.

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

  • Ph.D. in Civil and Environmental Engineering
    New Jersey Institute of Technology, Newark, NJ, USA
    Expected: May 2024
    Dissertation: Developing Intelligent Sensor Fusion IoT-enabled Devices and Virtualization Systems for Facility Management Applications in Smart Cities
    GPA: 4.0/4.0
    Advisor: Professor Rayan H. Assaad (rayan.hassane.assaad@njit.edu)
  • Master of Science (M.S.) in Structural Engineering
    Islamic Azad University, Mahabad, Iran
    February 2012
    Thesis: Structural Behavior of Hybrid Fiber-Reinforced Polymer-Autoclave Aerated Concrete Panel
    GPA: 3.7/4.0
    Advisor: Professor Arastou Armaghani (aarmaghani@yahoo.com)
  • Bachelor of Science (B.S.) in Civil Engineering
    Shahid Rajaee Teacher Training University, Tehran, Iran
    August 2008
    Concentration: Architectural Engineering, Construction Management

πŸ’Ό Professional Experience :

  • Senior Structural and GeoStructural Engineer
    Schnabel Engineering, Jersey City, NJ, USA
    June 2024 – Present

    • Lead geostructural engineering projects from inception to completion.
    • Conduct intricate design and analysis for foundations, retaining walls, and tunnels.
    • Provide technical oversight to junior engineers and ensure regulatory compliance.
    • Engage with clients for project updates and satisfaction.
    • Plan and oversee geotechnical site investigations and prepare detailed technical reports.
  • Graduate Research Assistant
    New Jersey Institute of Technology, Smart Construction and Intelligent Infrastructure Systems (SCIIS) Lab, Newark, NJ
    August 2022 – May 2024
  • Senior Structural Engineer
    Construction Civil Engineers of Iran, Kurdistan, Iran
    November 2011 – July 2022

    • Led the design for over 200 buildings, ensuring adherence to safety and regulatory standards.
    • Conducted structural analysis using ETABS, SAFE, and SAP 2000 software.
    • Managed projects from conception to completion, focusing on timelines and budget constraints.
  • Senior Structural Designer
    Kirmanj Construction Co., Erbil, Iraq
    March 2019 – August 2021

    • Spearheaded the structural design for The Zaniary Tower, a landmark skyscraper.
  • Construction Management Engineer
    CAN Holding Co., Kurdistan, Iran
    February 2013 – November 2016
  • Construction Management Engineer
    Kurdistan Municipality, Kurdistan, Iran
    March 2011 – October 2013

πŸ“š Research Interests :Β 

  • Quantifying Reliability of Shared Economy Systems
    August 2022 – February 2023
    Developed metrics to assess reliability and pricing models for shared economy systems.
  • Modeling Flooding Events Effects
    November 2022 – August 2023
    Analyzed direct and indirect impacts of flooding on transportation infrastructure.
  • Benefit-Cost Analysis for Flood Mitigation Projects
    January 2023 – May 2023
    Conducted analysis to prioritize flood mitigation projects.
  • Intelligent Cloud-Based IoT System for Water Quality Assessment
    February 2023 – July 2023
    Developed IoT-based devices for real-time water quality monitoring.
  • IoT System for Leak Detection
    March 2023 – November 2023
    Created devices for accurate leak detection in smart city applications.
  • Enhancing Human-Technology Interaction using IoT and VR
    June 2023 – December 2023
    Developed a virtual environment for facility management using Unity and IoT sensors.
  • Enhancing Human-Technology Interaction using IoT and AR
    August 2023 – February 2024
    Integrated AR applications for real-time thermal comfort monitoring in smart buildings.

Honors & Awards :

  • 2024: National Science Foundation (NSF) I-Corp Award for an innovative IoT-based workforce health monitoring device.
  • 2022-2024: Gary Thomas Assistantships Fellowship, New Jersey Institute of Technology.
  • 2024: Graduate Student Research and Presentation Travel Award from the Graduate Student Association (GSA), NJIT.
  • 2024: Civil and Environmental Engineering Outstanding Graduate Student Award, NJIT.
  • 2004-2008: Full fellowship for bachelor studies at Shahid Rajaee Teacher Training University.

πŸ“ Publication Top Notes :

  1. Mohammadi, M., Poudel, O., & Assaad, R. H. (2024). An Intelligent IoT-enabled Multimodal Sensing Device as a Wearable Health Monitoring System for Comprehensive Physiological Symptoms Tracking. Elsevier Journal of Measurement. (Under Review), Impact Factor: 5.2.
  2. Mohammadi, M., Assaf, G., & Assaad, R. H. (2024). Real-time Visualization of Thermal Comfort and Interaction with HVAC Systems by Integrating Immersive Virtual Reality Technologies and IoT-Enabled Intelligent Sensors for Indoor Facilities. Emerald Smart and Sustainable Built Environment. (Under Review), Impact Factor: 3.6.
  3. Mohammadi, M., Poudel, O., Assaf, G., & Assaad, R. H. (2024). An Intelligent Acoustic-based IoT-enabled Water Monitoring Sensing System for Automated Real-Time Water Leak Detection, Localization, and Pinpointing. Elsevier Journal of Expert Systems with Applications. (Under Review), Impact Factor: 7.5.
  4. Mohammadi, M., Assaf, G., Assaad, R. H., & Chang, A. J. (2024). An Intelligent Cloud-Based IoT-Enabled Multimodal Edge Sensing Device for Automated, Real-Time, Comprehensive, and Standardized Water Quality Monitoring and Assessment Process Using Multisensor Data Fusion Technologies. ASCE Journal of Computing in Civil Engineering. Impact Factor: 6.9.
  5. Mohammadi, M., Assaf, G., & Assaad, R. H. (2024). Real-time Spatial Mapping and Visualization of Thermal Comfort and HVAC Control by Integrating Immersive AR Technologies and IoT-Enabled Wireless Sensor Networks. Elsevier Journal of Building Engineering. Impact Factor: 6.4.
  6. Assaad, R. H., Mohammadi, M., & Assaf, G. (2024). Determining Critical Cascading Effects of Flooding Events on Transportation Infrastructure Using Data Mining Algorithms. Journal of Infrastructure Systems, 30(3), 04024006. Impact Factor: 3.3.
  7. Assaad, R. H., Mohammadi, M., & Chang, A. (2023). An IoT-Enabled Sensing Device to Quantify the Reliability of Shared Economy Systems Using Intelligent Sensor Fusion Building Technologies. Buildings, 13(9), 2182. Impact Factor: 3.8.
  8. Sahour, S., Khanbeyki, M., Gholami, V., Sahour, H., Karimi, H., & Mohammadi, M. (2023). Particle swarm and grey wolf optimization: enhancing groundwater quality models through artificial neural networks. Stochastic Environmental Research and Risk Assessment, 1-15. Impact Factor: 4.2.
  9. Mohammadi, M., & Armaghani, A. (2014). Structural behavior of hybrid fiber–reinforced polymer-Autoclave Aerated concrete panels. Impact Factor: 0.9804.

 

 

 

 

Zhang Wenping | Electrical Engineering | Best Researcher Award

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Dr. Zhang Wenping | Electrical Engineering | Best Researcher Award

Chief Expert of Ginlong Technologies Co., Ltd, China

Dr. Wenping Zhang is a distinguished researcher in power electronics and renewable energy systems with a diverse academic and industrial background. Currently at Tianjin University and Ginlong Technologies, he has extensive experience working on advanced power conversion systems for electric vehicles and fuel cell technologies. πŸš—βš‘πŸ”‹ His work bridges the gap between cutting-edge research and real-world applications, contributing significantly to energy storage and smart grid technologies. πŸŒπŸ”Œ

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

Dr. Wenping Zhang holds a Ph.D. in Electrical Engineering from Zhejiang University, where he worked under the guidance of Prof. Dehong Xu (IEEE Fellow). During his Ph.D. (2011-2016), he also spent time as a visiting scholar at Texas A&M University under the mentorship of Prof. Prasad Enjeti (2012-2013). Prior to this, he completed his Master’s degree at Zhejiang University (2008-2011) under the supervision of Prof. Changsheng Hu and Prof. Dehong Xu. He earned his Bachelor’s degree in Energy and Power Engineering from Nanjing University of Science and Technology in 2008.

πŸ’Ό Professional Experience :

Professionally, Dr. Zhang has a rich career in both academia and industry. Currently, he is a researcher at Tianjin University and Ginlong Technologies (since July 2022). Before this, he served as a Senior Expert at Siemens China from 2019 to 2022, and earlier, he was a Postdoctoral Research Fellow at the University of New Brunswick, Canada (2017-2019), where he worked under Prof. Liuchen Chang, CAE Fellow. His work primarily focuses on developing technologies for electric vehicles (EV) used as distributed energy storage, fault-tolerant power electronic systems, fuel cell uninterruptible power supplies, and renewable energy systems. He has led and contributed to significant projects like the China ‘863’ program, the Emera R&D Project, and Delta R&D Project, working on cutting-edge solutions in energy and power electronics.

πŸ“š Research Interests :Β 

His research interests include power electronics, electric vehicles as distributed energy storage systems, fault-tolerant techniques, renewable energy systems, fuel cell technologies, and smart grid integration. Dr. Zhang has published numerous papers in high-impact journals and holds several patents related to power electronics and renewable energy technologies.

πŸ“ Publication Top Notes :

  1. W. Zhang, Y. Wang, P. Xu, D. Li, B. Liu, “Evaluation and Improvement of Backup Capacity for Household Electric Vehicle Uninterruptible Power Supply (EV-UPS) Systems,” Energies, vol. 16, no. 4567, 2023. (SCI)
  2. W. Zhang, Y. Wang, P. Xu, D. Li, B. Liu, “A high-reliability PV system by replacing electrolytic capacitors with film capacitors,” Energy Reports, vol. 9, suppl. 10, pp. 299-305, 2023. (SCI)
  3. W. Zhang, Y. Wang, P. Xu, D. Li, B. Liu, “DC-bus voltage balancing control for 3-level DC/DC converters in renewable generation systems,” Energy Reports, vol. 9, suppl. 10, pp. 210-217, 2023. (SCI)
  4. W. Zhang, Y. Wang, P. Xu, D. Li, B. Liu, “A Current Control Method for Grid-Connected Inverters,” Energies, vol. 16, no. 18, p. 6558, 2023. (SCI)
  5. W. Zhang, P. Xu, Y. Wang, D. Li, B. Liu, “A potential induced degradation suppression method for photovoltaic systems,” Energy Reports, vol. 10, pp. 3955-3969, 2023. (SCI)
  6. W. Zhang, P. Xu, Y. Wang, D. Li, B. Liu, “A DC arc detection method for photovoltaic (PV) systems,” Results in Engineering, vol. 21, 2024, p. 101807. (SCI)
  7. W. Zhang, D. Xu, P. Enjeti, H. Li, J.T. Hawke, H.S. Krishnamoorthy, “Survey on Fault-Tolerant Techniques for Power Electronic Converters,” IEEE Transactions on Power Electronics, vol. 29, no. 12, pp. 6319-6331, Dec. 2014. (Citation: 191)
  8. W. Zhang, D. Xu, X. Li, R. Xie, H. Li, D. Dong, C. Sun, M. Chen, “Seamless Transfer Control Strategy for Fuel Cell Uninterruptible Power Supply System,” IEEE Transactions on Power Electronics, vol. 28, no. 2, pp. 717-729, Feb. 2013. (Citation: 76)
  9. W. Zhang, D. Xu, “Fault Analysis and Fault-Tolerant Design for Parallel Redundant Inverter Systems in Case of IGBT Short-Circuit Failures,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 6, no. 4, pp. 2031-2041, Dec. 2018.
  10. W. Zhang, C. Ding, “Mitigation of the low-frequency neutral-point current for three-level T-type inverters in three-phase four-wire systems,” IET Power Electronics, vol. 11, no. 8, pp. 1444-1451, 2018.

 

 

 

 

Robert Otieno | Material Science | Best Researcher Award

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Mr. Robert Otieno | Material Science | Best Researcher Award

Materials Instructor at Multimedia University of Kenya, Kenya

Robert Kennedy Otieno is a Senior Technologist at the Department of Mechanical and Mechatronics Engineering at Multimedia University of Kenya, where he has been in charge of materials testing since March 2021. He is also pursuing an MSc in Mechanical Engineering (Materials Options) at the same institution, having started in September 2022. Robert holds a BSc in Mechanical Engineering from the University of Nairobi (2005) and a Master of Engineering in Transportation Planning and Management from Dalian Maritime University, China (2011). His areas of research include materials technology, strength of materials, and foundry technology. He has been involved in significant research projects, such as developing lightweight, high-strength magnesium-based alloys for the automotive and aerospace industries, and analyzing the efficiency of seaports and Eurasian railways. Robert has also worked as a Research Affiliate at Dalian Maritime University (2011–2016) and a Teaching Assistant in transportation modeling and supply chain management at the same university (2009–2011). He has received several scholarships and grants, including the Chinese Government Scholarship and collaborative research funding from the Chinese Academy of Sciences.

Publication Profile :Β 

Orcid

 

πŸŽ“ Educational Background :

Robert Kennedy Otieno holds a Bachelor of Science in Mechanical Engineering from the University of Nairobi, where he graduated in March 2005. He later pursued a Master of Engineering in Transportation Planning and Management at Dalian Maritime University, China, graduating in July 2011. He also undertook a Pre-doctorate program in Supply Chain Management at Jomo Kenyatta University of Agriculture and Technology in 2014. Currently, he is pursuing a Master of Science in Mechanical Engineering with a focus on Materials at Multimedia University of Kenya, having commenced in September 2022.

πŸ’Ό Professional Experience :

Robert has an extensive career in academia and research. Since March 2021, he has been serving as a Senior Technologist in the Department of Mechanical and Mechatronics Engineering at Multimedia University of Kenya, where he also oversees the Materials Testing laboratory. He is involved in instructing and guiding students in materials testing and research projects. Prior to this, Robert was a Research Affiliate at Dalian Maritime University from 2011 to 2016, where he collaborated on various transportation-related research projects. He also worked as a Research and Teaching Assistant in Transportation Planning and Management at Dalian Maritime University between September 2009 and July 2011, assisting professors in the fields of transportation modeling and supply chain management.

πŸ“š Research Interests :Β 

Robert’s research interests span across several areas in engineering, including Materials Technology, Strength of Materials (Applied Mechanics), and Foundry Technology. His recent work has focused on the development of lightweight, high-strength magnesium-based alloys for the automotive and aerospace industries. He has also contributed to research on seaport operations efficiency and the improvement of Eurasian railway networks through multi-objective optimization models.

πŸ“ Publication Top Notes :

  1. Yang, H., Lin, K., Kennedy, O. R., & Ruth, B. (2011). Sea-port operational efficiency: An evaluation of five Asian ports using stochastic frontier production function model. Journal of Service Science and Management, 4(03), 391.
  2. Kennedy, O. R., Novikova, K. K. A., Yang, H., & Lin, K. (2011). Supply chain flexibility: Structural equation modeling approach. I-Business, 3(4), 390.
  3. Otieno, R. K., Odhong, E. V., & Ondieki, C. (2024). Prediction of phases and mechanical properties of magnesium-based high-entropy alloys using machine learning. Journal of King Saud University-Science, 103456.
  4. Otieno, R., Odhong, E. V., & Mutua, J. (2023). Modelling and simulation of composition and mechanical properties of high entropy magnesium-based multicomponent alloy. Advances in Materials Science and Engineering: An International Journal.
  5. Otieno, R. K., Mureithi, N., & Ahmed, H. (2018). Finite element analysis of reinforced structural fibre-glass and recycled plastic blocks in low-cost houses. Journal of Emerging Trends in Engineering and Applied Sciences, 9(4), 160-167.
  6. Leparmara, M. A., Mwaura, L. G., & Otieno, R. K. (2016). Factors influencing effectiveness of murder profiling procedures: A case of serial murders at Kihiu Mwiri Farmers’ Company in Kenya. Journal of Forensic Sciences and Criminal Investigations, 1(3).
  7. Kseniia, N., Lu, J., & Kennedy, O. R. (2015). An evaluation of characteristics of efficiency and flexibility of the Eurasian Continental Bridge. In ICTE 2015 (pp. 1055-1065).
  8. Kennedy, O. R., & Ksenia, K. A. (2012). Pareto-optimal solutions to multimodal cargo transportation problems: An elitist non-dominated ranking genetic algorithm approach. РСдакционная коллСгия, 70.
  9. Otieno, R. K. (2011). An evaluation of technical efficiencies of Liaoning seaports. ε€§θΏžζ΅·δΊ‹ε€§ε­¦.

 

 

 

 

Hayelom Gebrye | Computer Vision | Best Researcher Award

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Mr. Hayelom Gebrye | Computer Vision | Best Researcher Award

Ph.D. student of UESTC, China, Ethiopia

Hayelom Muleta Gebrye is a dedicated researcher and educator specializing in computer science and information technology. He is currently pursuing his Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), where his research focuses on machine learning, deep learning, computer vision, and network security, particularly in the context of IoT and cybersecurity. He holds an MSc in Information Technology from Aksum University and a BSc in Information Technology from Hawassa University.

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

Hayelom Muleta Gebrye is currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), which he commenced in September 2019. He holds a Master’s degree in Information Technology from Aksum University (2015-2017) and a Bachelor’s degree in Information Technology from Hawassa University (2008-2012). Additionally, he completed his Secondary School Certificate at Tadagiwa Ethiopia in 2008.

πŸ’Ό Professional Experience :

Hayelom has a robust teaching and training background in computer science and technology. He served as a lecturer at several institutions, including Harambee University, where he taught courses such as Fundamentals of Programming I, Web Programming, and Research Methods in Computer Science (Sep 2022 – Apr 2023), and Adama Science and Technology University, focusing on Data Structures and Algorithms (Jul 2022 – Jun 2023). He has also provided training on digital technology and effective social media management through the local NGO LIVE ADDIS. In addition to his academic roles, he has practical experience as a Data Manager for TZG General Development Research, leading data collection efforts and ensuring data quality standards. Previously, he worked in various capacities at Raya University, including Quality Assurance Coordinator and Assistant Registrar, where he was instrumental in enhancing educational quality and managing student records. His earlier role as the Head of IT at Jigjiga University involved overseeing the IT department, lecturing on advanced programming and system simulation, and mentoring students.

πŸ“š Research Interests :Β 

Hayelom’s research interests encompass machine learning, deep learning, computer vision, network security, and intrusion detection systems. He has contributed to several research projects, including studies on traffic data extraction for attack detection in IoT networks and deep reinforcement learning for resource allocation in blockchain-based computing. His published work includes articles in prestigious journals, demonstrating his commitment to advancing knowledge in the fields of cybersecurity and machine learning.

πŸ“ Publication Top Notes :

  1. Gebrye, H., Wang, Y., & Li, F. (2023). Traffic data extraction and labeling for machine learning-based attack detection in IoT networks. International Journal of Machine Learning & Cybernetics, 14, 2317–2332. https://doi.org/10.1007/s13042-022-01765-7. (Impact Factor: 5.6)
  2. Mohammed, A., Nahom, H., Tewodros, A., Habtamu, Y., & Gebrye, H. (2020). Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Blockchain-Based Multi-UAV-Enabled Mobile Edge Computing. In 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 295-299). Chengdu, China. doi: 10.1109/ICCWAMTIP51612.2020.9317445.
  3. Gebrye, H., Wang, Y., & Li, F. (In Progress). Computer Vision based DDoS Attack Detection for resource-limited devices. Computers and Electrical Engineering. (Status: 1st Revision)
  4. Gebrye, H., Wang, Y., & Li, F. (Under Review). Undersampling and IGFS-GIWRF Boosting Machine Learning Models for IoT Botnet Detection using Unbalanced Dataset. International Journal of Machine Learning and Cybernetics. (Status: Under Review)

 

 

 

Mersha Kassa | Biology | Best Innovation Award

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Mr. Mersha Kassa | Biology | Best Innovation Award

PhD candidate of Bahir Dar University, Ethiopia

Mersha Minwuyelet Kassa is a Ph.D. candidate in Biology Education at Bahir Dar University, Ethiopia. With over 12 years of experience as a teacher educator, he has played pivotal roles in academia and HIV/AIDS coordination at the college level. Mersha holds a Master’s degree in Biology from Bahir Dar University and has a strong research background in multimedia and dynamic classroom integrated instruction. He is also known for his innovative approach to teaching mathematics, as reflected in his publication, “Using Formula New Approach of Multiplication Table.” In addition to his teaching and research, Mersha has actively participated in several research teams and has presented his findings at international conferences. His work focuses on enhancing biology education through technology integration and addressing health issues within educational settings. πŸŒπŸ“š

Publication Profile :Β 

Orcid

 

πŸŽ“ Educational Background :

Mersha Minwuyelet Kassa is currently a Ph.D. candidate in Biology Education at Bahir Dar University, Ethiopia, where he began his doctoral studies in March 2020. He earned his Master of Science (M.Sc.) degree in Biology from Bahir Dar University in July 2002 E.C. (Ethiopian Calendar), graduating with a cumulative GPA of 3.82. Before that, he completed a Bachelor of Education (B.Ed.) degree in Biology from the same university in August 1999 E.C., with a GPA of 3.28. Mersha also holds a Diploma in Biology from Bahir Dar University, obtained in June 1987 E.C., following his completion of secondary education at Debrework Senior Secondary School in East Gojjam, Amhara National Regional State, Ethiopia.

πŸ’Ό Professional Experience :

Mersha Minwuyelet Kassa has over two decades of professional experience in education, research, and leadership. Since November 2010, he has been a Lecturer at the College of Teachers Education, where he has contributed to the academic and professional development of future educators. Prior to this role, he worked as a Junior and High School Biology Teacher from September 1997 to November 2009 E.C., during which time he also taught preparatory school students. From 2003 to 2009 E.C., Mersha served as the HIV/AIDS Focal Person at Finote Selam College of Teacher Education, coordinating efforts to raise awareness and support HIV/AIDS prevention programs in collaboration with various NGOs. His leadership extended to serving as a research team member at the college from 2006 to 2007 E.C. He has shown a deep commitment to fostering educational development, conducting research, and engaging in community health initiatives.

πŸ“š Research Interests :Β 

Mersha Minwuyelet Kassa’s research interests are primarily focused on improving educational outcomes through the use of technology and innovative teaching methodologies. His work includes exploring multimedia and dynamic classroom-integrated instruction, particularly in the teaching of biology. He is also interested in the intersection of health and education, as demonstrated by his research on HIV/AIDS prevention and awareness among students. Mersha’s Master’s thesis examined the “Prevalence and Antibiotic Susceptibility of Bacteria Isolated from Diarrheal Patients in Bahir Dar,” highlighting his interdisciplinary approach to both biology and public health. His publications and ongoing research contribute to enhancing the effectiveness of educational strategies and addressing critical health challenges in the education sector.

πŸ“ Publication Top Notes :

  1. Mersha Minwuyelet (2014). Risk Factors and Role of Students to Prevent themselves from HIV/AIDS in Damot Preparatory School and Finote Selam. Proceeding of the National Research Symposium on Quality Education in Primary Schools 2011 – 2013, College of Teachers Education, Finote Selam, West Gojjam, Ethiopia, pp. 328 – 339.
  2. Mersha Minwuyelet (2018). Using Formula New Approach of Multiplication Table. International Journal of Advances in Scientific Research and Engineering (IJASRE), Volume 4, Issue 8.
  3. Kassa, M. M., Azene, M. K., Mengstie, S. M., & Ferede, M. W. (2024). Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ Biology Academic Achievement. Heliyon, Volume 10, Issue 18. DOI: https://doi.org/10.1016/j.heliyon.2024.e37315.

 

 

 

 

Mahdi Bahadoran | Logic gates | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Mahdi Bahadoran | Logic gates | Best Researcher Award

Dean of Physics Faculty at Shiraz University of Technology, Iran

Dr. Mahdi Bahadoran is an accomplished researcher specializing in applied physics, photonics, and scientific computing. His expertise spans several key areas, including photonic sensors, mathematical physics, numerical modeling, biophotonics, nonlinear optics, and terahertz technology. He has a strong background in teaching and research, having held several academic positions at prominent institutions such as Shiraz University of Technology (SUTech) and Universiti Teknologi Malaysia (UTM).

Publication Profile :Β 

Scopus

 

πŸŽ“ Educational Background :

  • Ph.D. in Physics (Photonics), Universiti Teknologi Malaysia
    October 10, 2010 – September 10, 2013
    Thesis: Analytical Vernier Effect for Nanophotonics Circuits Using Ring Resonator
    UTM Physics
  • M.Sc. in Nuclear Physics (Cosmochronology), Shiraz University
    September 24, 2005 – May 10, 2008
    Thesis: Calculation of the Age of the Universe Using Nuclear Methods and Its Comparison with Other Methods
    Shiraz University
  • B.Sc. in Physics, Shiraz University
    September 24, 1998 – February 4, 2002
    Shiraz University

πŸ’Ό Professional Experience :

  • Dean of the Department of Physics, Shiraz University of Technology, Iran
    March 18, 2023 – Present
    Profile
  • Associate Professor of Physics, Shiraz University of Technology (SUTech), Iran
    October 16, 2021 – Present
    Faculty Members
  • Assistant Professor of Physics, Shiraz University of Technology (SUTech), Iran
    September 17, 2016 – October 15, 2021
    Faculty Members
  • Senior Lecturer, Laser Centre, Department of Physics, Universiti Teknologi Malaysia (UTM), Johor, Malaysia
    February 1, 2015 – September 10, 2016
    Faculty
  • Postdoctoral Fellow, Institute of Advanced Photonics Science, Nanotechnology Research Alliance, UTM, Malaysia
    December 1, 2014 – January 31, 2015
    Academic Staff
  • Visiting Junior Researcher, Nanophotonics Research Group, UTM, Malaysia
    May 1, 2013 – July 31, 2013
    Academic Staff
  • Adjunct Lecturer of Physics, Zand Institute of Higher Education, Shiraz, Iran
    September 24, 2008 – October 1, 2010
    Zand Institute
  • Adjunct Lecturer of Physics, Yasouj University, Yasouj, Iran
    September 24, 2008 – October 1, 2010
    Yasouj University
  • Part-time Lecturer of Physics, Islamic Azad University, Shiraz Branch, Iran
    September 24, 2008 – October 1, 2010
    IAU Shiraz
  • Lab Instructor, Physics Department, Shiraz University, Shiraz, Iran
    September 24, 2008 – October 1, 2010
    Shiraz University

πŸ“š Research Interests :Β 

  • Photonics Sensors
  • Mathematical Physics and Modeling
  • Biophotonics
  • Nonlinear Optics
  • Optical Communications
  • Terahertz Technology
  • Biophysics
  • Theoretical Physics
  • Cosmo-chronology

πŸ“ Publication Top Notes :

  1. A.N. Nazmi, A.F. Ahmad Noorden, H.N. Isa, M. Bahadoran, Configuration analysis of the quantum well epi-layer in the InGaAs-based near-infrared light-emitting diodes, The European Physical Journal Plus, 139 (2024) 1-9.
  2. M.A. Hairol Aman, A.F. Ahmad Noorden, F.A. Ahmad Fajri, M.Z. Abdul Kadir, I. Bahari, W.H. Danial, S. Daud, M. Bahadoran, Integrating Vernier spectrum with Fano resonance for high sensitivity of an all-optical sensor, Journal of Computational Electronics, 22 (2023) 276-287.
  3. M. Bunruangses, M. Bahadoran, N.T. Pham, P. Youplao, K. Ray, P. Yupapin, Computational Soliton Modulated Nonlinear Microring Add-drop Multiplexer and Potential Applications, Journal of Industrial Technology and Innovation, 1 (2022) 246558.
  4. M.A.H. Aman, F.A.A. Fajri, A.F.A. Noorden, S. Daud, M. Bahadoran, M.Z.A. Kadir, High photoluminescence intensity of heterostructure AlGaN-based DUV-LED through uniform carrier distribution, PhyS, 98 (2022) 015503.
  5. M.K. Bagheri, M. Hosseini, M. Bahadoran, Tunable broad-band absorber consisted of crossed-oval shape of graphene, PhyS, 97 (2022) 125102.
  6. M.A. Hairol Aman, A.F. Ahmad Noorden, F.A. Ahmad Fajri, M.Z. Abdul Kadir, I. Bahari, W.H. Danial, S. Daud, M. Bahadoran, Integrating Vernier spectrum with Fano resonance for high sensitivity of an all-optical sensor, Journal of Computational Electronics, In press (2022).
  7. M. Bahadoran, A.K. Seyfari, P. Sanati, L.S. Chua, Label free identification of the different status of anemia disease using optimized double-slot cascaded microring resonator, Sci. Rep., 12 (2022) 5548.
  8. M. Bahadoran, A. Aghili, A.F. Ahmad Noorden, Micro-opto-mechanical pressure sensor via ring resonator-based Mach–Zehnder interferometer, The European Physical Journal Plus, 137 (2022) 327-427.
  9. P. Sanati, S.-S. Hashemi, M. Bahadoran, A.A. Babadi, E. Akbari, Detection of Escherichia coli K12 in Water Using Slot Waveguide in Cascaded Ring Resonator, Silicon, 14 (2022) 851-857.
  10. M. Askari, M. Bahadoran, A refractive-index-based microwave sensor based on classical electromagnetically induced transparency in metamaterials, Optik, 253 (2022) 168589.
  11. F. Asadiamiri, K. Chaudhary, J. Ali, M. Bahadoran, M. Nejati, P.P. Yupapin, A.R. Niknam, Dispersion of electromagnetic waves in coaxial cylindrical rippled-wall waveguide including plasma layer, Waves in Random and Complex Media, 32 (2022) 66-77.
  12. M.M. Sabet, H. Moradpour, M. Bahadoran, A. Ziaie, Minimal length implications on the Hartree-Fock theory, PhyS, 96 (2021) 125016.
  13. P. Sanati, M. Bahadoran, M.K. Mustafa, A Mach–Zehnder Ring Resonator Layout for Label Free Detection of Diabetes, in: Springer Nature Singapore, Singapore, 2022, pp. 115-124.
  14. A.K. Seyfari, M. Bahadoran, P. Yupapin, Design and modeling of double Panda-microring resonator as multi-band optical filter, Nano Communication Networks, 29 (2021) 100352.
  15. A. Kalate Seyfari, A.H. Zareian, M. Bahadoran, Design and simulation of four stage antiresonant reflecting plasmonic microring biosensor for detection of Ecoli Bacterium O157 in water, Journal of Research on Many-body Systems, (2021).