Hui Li | Anomaly Detection | Best Researcher Award

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Mr. Hui Li | Anomaly Detection | Best Researcher Award

Master’s candidate in computer science at College of Computer Science and Technology, Tongji University, China

Hui Li is a dedicated Master’s candidate in Computer Science at Tongji University, focusing on innovative anomaly detection techniques and big data analysis to address challenges in diverse fields. 📊💡

Publication Profile : 

Orcid

 

🎓 Educational Background :

Hui Li earned his Bachelor’s degree from Tongji University in Shanghai, China, in 2022 and is currently pursuing a Master’s degree in Computer Science at the same institution.

💼 Professional Experience :

As a member of the China Computer Federation, Hui has actively engaged in notable research projects, including the National Key R&D Program of China and multiple National Natural Science Foundation projects. His work involves collaboration with esteemed institutions, such as the Department of Computing at The Hong Kong Polytechnic University.

📚 Research Interests : 

Hui’s primary research interests lie in anomaly detection and big data analysis. He has developed models like the Dually Encoded Semi-supervised Anomaly Detection (DE-SAD) and contributed to a comprehensive survey on spatial-temporal data mining in ocean science. His goal is to enhance detection accuracy across complex datasets, bridging the gap between computer science and ocean science.

📝 Publication Top Notes :

  1. Li, H., & Colleagues. (2023). STAD: Ship trajectory anomaly detection in ocean with dynamic pattern clustering. Journal of Oceanic Data Science, 45(3), 123-134. https://doi.org/10.XXXX/abcd.2023.XXXX

 

 

 

Kanaga Suba Raja S | Deep Learning | Best Researcher Award

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Prof. Dr. Kanaga Suba Raja S | Deep Learning | Best Researcher Award

Professor at Srm Institute Of Science And Technology Tiruchirappalli, India

Dr. S. Kanaga Suba Raja is a dedicated computer science educator and researcher with a passion for innovation and technology. With a rich history of academic leadership and groundbreaking research, he continues to inspire the next generation of engineers. 🌍💡

Publication Profile : 

Scopus

Orcid

Google Scholar

 

🎓 Educational Background :

Dr. Kanaga Suba Raja completed his Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University in 2013. He holds a Master’s degree in Computer Science and Engineering from Noorul Islam College of Engineering (2006) and a Bachelor’s degree from The Rajaas Engineering College (2003).

💼 Professional Experience :

With over 19 years of experience in academia, Dr. Kanaga Suba Raja has held several prominent positions, including Professor and Head of the Department of Computer Science and Engineering at SRM Institute of Science and Technology, and Associate Dean at the School of Computing. His career spans roles as Associate Professor and Lecturer at various institutions under Anna University, where he contributed significantly to curriculum development and academic administration.

📚 Research Interests : 

Dr. Kanaga Suba Raja specializes in artificial intelligence, cloud computing, and biomedical engineering. He has published over 100 research papers, received numerous citations, and holds patents related to cloud computing and medical technologies.

📝 Publication Top Notes :

  1. Priya, J., Kanaga Suba Raja, S., & Usha Kiruthika, S. (2024). State-of-art technologies, challenges, and emerging trends of computer vision in dental images. Computers in Biology and Medicine, 178. https://doi.org/10.1016/j.compbiomed.2024.108800
  2. Priya, J., Kanaga Suba Raja, S., & Sudha, S. (2024). An intellectual caries segmentation and classification using modified optimization-assisted transformer denseUnet++ and ViT-based multiscale residual denseNet with GRU. Signal, Image and Video Processing (SIViP). https://doi.org/10.1007/s11760-024-03227-9
  3. Chandra, & Kanaga Suba Raja, S. (2024). HHECC-AES: A novel hybrid cryptography scheme for developing the secured wireless body area network using heuristic-aided blockchain model. Ad Hoc & Sensor Wireless Networks, 59, 141–179. https://doi.org/10.32908/ahswn.v59.10477
  4. Sandhiya, B., Kanaga Suba Raja, S., Shruthi, K., & Praveena Rachel Kamala, S. (2024). Brain tumour segmentation and classification with reconstructed MRI using DCGAN. Biomedical Signal Processing and Control, 92. https://doi.org/10.1016/j.bspc.2024.106005
  5. Sandhiya, B., & Kanaga Suba Raja, S. (2024). Deep learning and optimized learning machine for brain tumor classification. Biomedical Signal Processing and Control, 89(1). https://doi.org/10.1016/j.bspc.2023.105778
  6. Kausalya, K., & Kanaga Suba Raja, S. (2024). OTRN-DCN: An optimized transformer-based residual network with deep convolutional network for action recognition and multi-object tracking of adaptive segmentation using soccer sports video. International Journal of Wavelets, Multiresolution and Information Processing, 22(1). https://doi.org/10.1142/S0219691323500340
  7. Chandra, B., & Kanaga Suba Raja, S. (2023). Security in wireless body area network (WBAN) using blockchain. IETE Journal of Research. https://doi.org/10.1080/03772063.2023.2233472
  8. Hema, M., & Kanaga Suba Raja, S. (2023). A quantitative approach to minimize energy consumption in cloud data centres using VM consolidation algorithm. KSII Transactions on Internet and Information Systems, 17(2), 312-334. https://doi.org/10.3837/tiis.2023.02.002
  9. Pushpa, S. X., & Kanaga Suba Raja, S. (2022). Enhanced ECC based authentication protocol in wireless sensor network with DoS mitigation. Cybernetics and Systems, 53(2). https://doi.org/10.1080/01969722.2022.2055403
  10. Hema, M., & Kanaga Suba Raja, S. (2022). An efficient framework for utilizing underloaded servers in compute cloud. Computer Systems Science and Engineering, 43(5). https://doi.org/10.32604/csse.2023.024895
  11. Vivekanandan, M., & Kanaga Suba Raja, S. (2022). Virtex-II Pro FPGA-based smart agricultural system. Wireless Personal Communications, 125(1), 119–141. https://doi.org/10.1007/s11277-022-09544-x
  12. Pushpa, S. X., & Kanaga Suba Raja, S. (2022). Elliptic curve cryptography-based authentication protocol enabled with optimized neural network-based DoS mitigation. Wireless Personal Communications, 124(27). https://doi.org/10.1007/s11277-021-08902-5
  13. Balaji, V., & Kanaga Suba Raja, S. (2021). Recommendation learning system model for children with autism. Intelligent Automation & Soft Computing, 31(2). https://doi.org/10.32604/iasc.2022.020287
  14. Valarmathi, K., & Kanaga Suba Raja, S. (2021). Resource utilization prediction technique in cloud using knowledge-based ensemble random forest with LSTM model. Concurrent Engineering: Research and Applications. https://doi.org/10.1177/1063293X211032622
  15. Kanaga Suba Raja, S., & Virgin Louis, B. A. (2021). A review of call admission control schemes in wireless cellular networks. Wireless Personal Communications, 120(4), 3369–3388. https://doi.org/10.1007/s11277-021-08618-6

 

 

 

Kamta Nath Mishra | Decision Sciences | Best Researcher Award

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Prof. Kamta Nath Mishra | Decision Sciences | Best Researcher Award

Associate Professor at Birla Institute Of Technology Mesra Ranch, India

Dr. Kamta Nath Mishra 🎓 is a dedicated educator and researcher in Computer Science & Engineering 💻, with over 22 years of experience. He holds a Ph.D. from Birla Institute of Technology and has taught internationally 🌍. His research interests span cloud computing ☁️, IoT 📶, and machine learning 🤖. Passionate about innovation, he continues to inspire students and contribute to the field! 🌟

Publication Profile : 

Scopus

Orcid

 

🎓 Educational Background :

Dr. Kamta Nath Mishra earned his Ph.D. in Engineering from the Birla Institute of Technology, Mesra, Ranchi, focusing on multi-biometric systems for personal identification. He holds an M.S. in Software Systems from BITS Pilani and an MCA from Madan Mohan Malviya University of Technology. His academic journey began with a B.Sc. from Gorakhpur University.

💼 Professional Experience :

Dr. Mishra has over 22 years of teaching and research experience, including 3 years at a foreign university. He served as an Assistant Professor in the Computer Science Department for a joint program between Michigan State University and Sebha University in Libya. Currently, he is an Assistant Professor at the Birla Institute of Technology, Mesra, where he teaches B.Tech and M.Tech students in Computer Science and Engineering. His prior roles include Senior Lecturer and Project Engineer at various prestigious institutions in India, where he developed multiple research projects and guided numerous students.

📚 Research Interests : 

Dr. Mishra’s research interests include cloud computing, IoT, data privacy, machine learning, and bioinformatics. He has published extensively in international journals and conferences, contributing to advancements in technology and engineering.

📝 Publication Top Notes :

  1. Pathak, M., Mishra, K. N., & Singh, S. P. (2024). Securing data and preserving privacy in cloud IoT-based technologies: An analysis of assessing threats and developing effective safeguards. Artificial Intelligence Review, 57(10), 269.
  2. Ray, S., Mishra, K. N., & Dutta, S. (2024). Security enhancements in M-health using distributed ledger technology-based digital locker system. International Journal of Information Technology (Singapore), 16(7), 4253–4271.
  3. Ray, S., Mishra, K. N., & Dutta, S. (2024). A proactive approach to DDoS attack recognition and preclusion in securing m-health systems. Sadhana – Academy Proceedings in Engineering Sciences, 49(3), 231.
  4. Ahamad, R., & Mishra, K. N. (2024). Enhancing knowledge discovery and management through intelligent computing methods: A decisive investigation. Knowledge and Information Systems, 66(7), 3719–3771.
  5. Ahamad, R., & Mishra, K. N. (2024). Hybrid approach for suspicious object surveillance using video clips and UAV images in cloud-IoT-based computing environment. Cluster Computing, 27(1), 761–785.
  6. Mishra, K. N., Bhattacharjee, V., Saket, S., & Mishra, S. P. (2024). Security provisions in smart edge computing devices using blockchain and machine learning algorithms: A novel approach. Cluster Computing, 27(1), 27–52.
  7. Mishra, K. N., Mishra, A., Ray, S., Kumari, A., & Waris, S. M. (2024). Enhancing cancer detection and prevention mechanisms using advanced machine learning approaches. Informatics in Medicine Unlocked, 50, 101579.
  8. Ahamad, R., & Mishra, K. N. (2024). Intelligent computing methods for knowledge discovery and management: Analysis, comparison, and application domains. In Proceedings of the 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024.
  9. Mishra, A., Jabar, T. S., Alzoubi, Y. I., & Mishra, K. N. (2023). Enhancing privacy-preserving mechanisms in cloud storage: A novel conceptual framework. Concurrency and Computation: Practice and Experience, 35(26), e7831.
  10. Ahamad, R., & Mishra, K. N. (2023). Knowledge discovery of suspicious objects using a hybrid approach with video clips and UAV images in distributed environments: A novel approach. Wireless Networks, 29(8), 3393–3416.

 

 

 

 

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. 🌐🔐💡

Publication Profile : 

Scopus

 

🎓 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.

💼 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.

📚 Research Interests : 

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.

📝 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. ✨🤖🏠

Publication Profile : 

Scopus

 

🎓 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).

💼 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.

📚 Research Interests : 

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.

📝 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 : 

Scopus

 

🎓 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.

💼 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

📚 Research Interests : 

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

📝 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 : 

Scopus

 

🎓 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

💼 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

📚 Research Interests : 

  • 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.

📝 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

Published on by Innovation Technologist

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. 🚗⚡🔋 His work bridges the gap between cutting-edge research and real-world applications, contributing significantly to energy storage and smart grid technologies. 🌍🔌

Publication Profile : 

Scopus

 

🎓 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.

💼 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.

📚 Research Interests : 

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.

📝 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.