Divya P.V | Sustainable Materials | Best Researcher Award

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Assoc. Prof. Dr. Divya P.V | Sustainable Materials | Best Researcher Award

Associate Professor at Indian Institute of Technology Palakkad, India

Dr. Divya P.V. is an Associate Professor of Civil Engineering (Geotechnical Engineering) at IIT Palakkad, with over 10 years of teaching and research experience, including 9.2 years post-PhD. She holds a Ph.D. from IIT Bombay and has previously served at VIT University and NIT Calicut. Her research expertise lies in Ground Improvement, Geosynthetics, Slope Stabilization, and Green-Geotechnics, and she has published 50 papers, including 25 in international journals. Dr. Divya has led several high-profile research and consultancy projects, receiving multiple awards for her contributions to geotechnical engineering, including the ISIGS-Smt. Indra Joshi Biennial Award and recognition for excellence in PhD research.

Publication Profile : 

Scopus

 

🎓 Educational Background :

  • Ph.D. in Civil Engineering (Geotechnical Engineering) from IIT Bombay, India.
  • M.Tech
  • B.Tech

💼 Professional Experience :

Dr. Divya P.V. has over 10.6 years of academic and professional experience in geotechnical engineering, with 9.2 years of post-PhD experience. She is currently serving as an Associate Professor in the Department of Civil Engineering at IIT Palakkad, India, a position she has held since November 2021. Prior to this, she was an Assistant Professor at IIT Palakkad from July 2017 to November 2021. Her earlier roles include serving as an Associate Professor at VIT University, India, from January 2013 to December 2015, and as a Lecturer at NIT Calicut in 2006. Throughout her career, Dr. Divya has contributed significantly to geotechnical engineering education and research, guiding multiple PhD and MS students and managing various sponsored R&D and consultancy projects.

📚 Research Interests : 

Dr. Divya’s research focuses on a range of geotechnical engineering topics, including ground improvement, geosynthetics, reinforced soil structures, slope stabilization, and landslide mitigation. She is particularly interested in green-geotechnics, which involves sustainable practices in geotechnical engineering. Additionally, she employs centrifuge modelling and image analysis techniques in her research to better understand the behavior of soils and structures under various conditions.

📝 Publication Top Notes :

  1. Shaji, S., & Divya, P. V. (2024). Sustainable ground improvement of soft clay using eggshell lime and rice husk ash. Construction and Building Materials, 441, 137460.
  2. Anita, A., & Divya, P. V. (2024). Construction and demolition waste as a sustainable backfill for geosynthetic-reinforced MSE walls. International Journal of Geosynthetics and Ground Engineering, 10(3), 36.
  3. Sebastian, S., & Divya, P. V. (2024). Natural fibres: A sustainable material for geotextile applications. Indian Geotechnical Journal, 54(3), 1056–1072.
  4. Divya, P. V. (2024). Geosynthetic reinforced soil structures: Forensic investigation on failures and remedial measures. Indian Geotechnical Journal, 54(1), 258–265.
  5. Musaib, A., & Divya, P. V. (2024). Digital soil mapping of residual lateritic soils in Kerala using interpolation methods. In Lecture Notes in Civil Engineering (Vol. 476, pp. 301–312).
  6. Dhanya, K. A., Venkatesh, T. S. D., & Divya, P. V. (2023). Influence of suction on the interface characteristics of unsaturated marginal lateritic soil backfills with composite geosynthetics. International Journal of Geosynthetics and Ground Engineering, 9(6), 73.
  7. Dhanya, K. A., Vibha, S., & Divya, P. V. (2023). Coupled flow-deformation analysis of MSE wall reinforced with hybrid geogrids. International Journal of Geosynthetics and Ground Engineering, 9(4), 45.
  8. Anita, A., Karthika, S., & Divya, P. V. (2023). Construction and demolition waste as valuable resources for geosynthetic-encased stone columns. Journal of Hazardous, Toxic, and Radioactive Waste, 27(2), 04022047.
  9. Dhanya, K. A., Vibha, S., & Divya, P. V. (2023). Performance of lateritic soil slopes at the onset of rainfall infiltration. Indian Geotechnical Journal, 53(1), 107–126.
  10. Musaib, A., & Divya, P. V. (2023). Incorporation of unsaturated soil properties in the prediction of rainfall induced landslides using TRIGRS and Scoops3D models. In Geotechnical Special Publication, 2023-March(GSP 338), 509–520.

 

 

 

Rafael Natalio Fontana Crespo | Artificial Intelligence | Young Scientist Award

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Mr. Rafael Natalio Fontana Crespo | Artificial Intelligence | Young Scientist Award

PhD Student at Politecnico di Torino, Italy

Rafael Natalio Fontana Crespo is a dedicated and sociable Ph.D. student specializing in Computer and Control Engineering at Politecnico di Torino. With a strong academic background in mechatronics and practical experience in electrical energy analysis, he is passionate about tackling complex challenges through innovative solutions. 🌐💡

Publication Profile : 

Orcid

 

🎓 Educational Background :

Rafael is currently pursuing a Ph.D. in Computer and Control Engineering at Politecnico di Torino, Italy, since May 2022. He previously obtained a Master’s Degree in Mechatronic Engineering from the same institution, graduating with 110/110 cum laude in July 2022. His master’s thesis focused on designing and developing a distributed software platform for additive manufacturing. Rafael studied Electromechanical Engineering at the Universidad Nacional de Córdoba, Argentina, where he also completed a double degree program.

💼 Professional Experience :

Rafael gained practical experience during his internship at EPEC (Empresa Provincial de Energía de Córdoba) in Argentina, where he worked in the Statistics and Technical Department from May 2020 to May 2021. He was involved in analyzing thermal images of electrical components to prevent failures, contributing to the overall safety and efficiency of electrical systems.

📚 Research Interests : 

Rafael’s research interests lie at the intersection of computer engineering, control systems, and mechatronics, particularly focusing on additive manufacturing, machine learning applications in energy systems, and the optimization of neural networks.

📝 Publication Top Notes :

      1. Fontana Crespo, R.N., E. Patti, S. Di Cataldo, D. Cannizzaro. (2022). Design and Development of a Distributed Software Platform for Additive Manufacturing. Master’s Thesis, Politecnico di Torino.
      2. Fontana Crespo, R.N. (2023). Machine Learning in Energy Applications. Course Exam Paper, Politecnico di Torino.
      3. Fontana Crespo, R.N. (2023). IoT Platforms for Spatial Analytics in Smart Energy Systems. Course Exam Paper, Politecnico di Torino.
      4. Fontana Crespo, R.N. (2023). Optimized Execution of Neural Networks at the Edge. Course Exam Paper, Politecnico di Torino.
      5. Fontana Crespo, R.N. (2023). Adversarial Training of Neural Networks. Course Exam Paper, Politecnico di Torino.

 

Gonzalo Pérez Serrano | Artificial photosynthesis | Young Scientist Award

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Mr. Gonzalo Pérez Serrano | Artificial photosynthesis | Young Scientist Award

PhD at IMDEA Nanociencia, Spain

Gonzalo Pérez Serrano is an Assistant Researcher at IMDEA Nanoscience in Spain, specializing in ultrafast phenomena at the nanoscale. He holds a Master’s degree in Biotechnology from Universidad Autónoma de Madrid and a Bachelor’s degree in Biology from Universidad Complutense de Madrid. His research focuses on artificial photosynthesis, specifically the design of structural modulators for photosystems, where he studies the impact of protein dynamics on chromophore function.

Publication Profile : 

Orcid

 

🎓 Educational Background :

Gonzalo Pérez Serrano completed his undergraduate degree in Biology at the Universidad Complutense de Madrid in 2022. During his studies, he gained valuable experience at the Veterinary Health Surveillance Centre (VISAVET), specializing in molecular techniques such as genetic material extraction and purification, molecular diagnosis, and data analysis. His Bachelor’s thesis focused on the molecular detection of Rickettsia bacteria in ticks from wild animals in the Madrid region. After completing his Bachelor’s, Gonzalo pursued a Master’s degree in Biotechnology at the Universidad Autónoma de Madrid (2022-2023), where he conducted his Master’s thesis on the design of artificial photosystems, under the supervision of Dr. Sara Hernández Mejías at IMDEA Nanoscience.

💼 Professional Experience :

Following the completion of his Master’s, Gonzalo Pérez Serrano was appointed as an Assistant Researcher at IMDEA Nanoscience in October 2023. He has been involved in various significant research projects, including a project funded by the LaCaixa Foundation focused on photochemical energy conversion using biohybrids with proteins and nanoclusters, and another research grant from the BBVA Foundation on optimized photochemical conversion. His work spans artificial photosynthesis, light energy conversion, and nanotechnology, contributing to a deeper understanding of the mechanistic role of protein dynamics in chromophore function. Prior to his current position, he gained practical research experience as a trainee student at IMDEA Nanoscience while completing both his Bachelor’s and Master’s degrees.

📚 Research Interests : 

Gonzalo’s research interests are centered on the fields of artificial photosynthesis, light energy conversion, and nanotechnology. He focuses on the study of protein engineering and physical chemistry, with a particular emphasis on pump-probe spectroscopy. His work aims to advance our understanding of how proteins and chromophores interact to enhance light-harvesting efficiency. He is passionate about using cutting-edge techniques in nanoscience to develop sustainable and efficient systems for energy conversion. 🌱🔬💡

📝 Publication Top Notes :

  1. Serrano, G. P., Echavarría, C. F., & Mejias, S. H. (2024). Development of artificial photosystems based on designed proteins for mechanistic insights into photosynthesis. Protein Science, 33(10). https://doi.org/10.1002/pro.5164

 

 

Jun Li | Energy Materials | Best Researcher Award

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Prof. Jun Li | Energy Materials | Best Researcher Award

Associate Professor of Kunming university, China

Li Jun is a dedicated researcher and educator passionate about advancing sustainable building technologies and energy storage solutions. His work emphasizes the development of safe and efficient materials to tackle modern energy challenges. 🌍💡📚

Publication Profile : 

Scopus

🎓 Educational Background :

Li Jun earned his Ph.D. in Power Engineering and Engineering Thermophysics from Chongqing University (September 2016 – December 2020). He completed his Master’s in the same field at Guangdong University of Technology (September 2013 – June 2016) and obtained his Bachelor’s in Physics from Donghua University of Science and Technology (September 2008 – June 2012).

💼 Professional Experience :

Li Jun has a rich academic career, currently serving as a Lecturer at Kunming University since February 2023. Prior to this role, he was involved in postdoctoral research at Guangdong University of Technology from January 2021 to November 2022. His extensive training and research experiences have equipped him with expertise in thermal safety and energy storage technologies.

📚 Research Interests : 

Li’s research interests lie primarily in the fields of thermal energy storage, phase change materials, and enhanced thermal safety. He focuses on the design and construction of innovative materials for high heat flux density electronic cooling.

📝 Publication Top Notes :

  • Jun Li, Yingbiao Yuan, Haoxin Chen, Lisi Jia, Na Zhang, Shuxian He, Renjie Chen, Rao Tao, Hongfei Zhang, Jiaoyang Li.
    Highly stable and nonflammable hydrated salt nanocapsules with inorganic-organic composite shell for sustainable building technology.
    Journal of Energy Storage, 2024, 79: 110173.
    (Sole First Author, Sole Corresponding Author)
  • Jun Li, Haoxin Chen, Lisi Jia, Xiaoyun Zhu, Guangjun Qin, Ying Chen.
    Preparation and characterization of Na2HPO4·12H2O@polymethyl methacrylate nanocapsule for efficient thermal energy storage.
    Journal of Energy Storage, 2022, 53: 105133.
    (Sole First Author)
  • Jun Li, Lisi Jia, Ying Chen, Longjian Li, Songping Mo, Jiacheng Wang, Chao Wang.
    Microfluidic fabrication and thermal properties of microencapsulated n-heptadecane with hexanediol diacrylate shell for thermal energy storage.
    Applied Thermal Engineering, 2019, 162: 114278.
    (Sole First Author)
  • Jun Li, Xiaoyun Zhu, Huichang Wang, Pengcheng Lin, Lisi Jia, Longjian Li, Ying Chen.
    Synthesis and properties of multifunctional microencapsulated phase change material for intelligent textiles.
    Journal of Materials Science, 2020, 3(56): 2176-2191.
    (Sole First Author)
  • Jun Li, Haoxin Chen, Lisi Jia, Ying Chen.
    Nanoencapsulation of Silicon Carbide-Doped Hydrated Salt for Safe and High-Efficient Battery Thermal Management.
    ACS Applied Energy Materials, 2022, 5(9): 11581-11590.
    (Sole First Author)

 

 

 

Qasem Abu Al-Haija | Defensive Security | Best Researcher Award

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Dr. Qasem Abu Al-Haija | Defensive Security | Best Researcher Award

Department of Cybersecurity at Jordan University of Science and Technology, Jordan

🔍 Dr. Qasem S. Abu Al-Haija is an accomplished educator and researcher in the field of cybersecurity and IoT. With a passion for developing intelligent detection systems and efficient cryptographic methods, he strives to advance the landscape of technology. 🌐✨ His commitment to teaching and mentoring the next generation of engineers is matched only by his dedication to impactful research. 📚🔒

Publication Profile : 

Scopus

🎓 Educational Background :

Dr. Qasem S. Abu Al-Haija holds a PhD in Computer and Information Systems Engineering from Tennessee State University (2020) with a perfect GPA of 4.00. His dissertation focused on intelligent IoT attack detection using non-traditional machine learning methods. He also earned a Master’s degree in Computer Engineering from Jordan University of Science and Technology (2009), specializing in efficient algorithms for ECC cryptography, and a Bachelor’s degree in Electrical and Computer Engineering from Mu’tah University (2005).

💼 Professional Experience :

Dr. Abu Al-Haija is currently an Assistant Professor in the Department of Cybersecurity at Jordan University of Science and Technology, where he conducts research in AI and cybersecurity. Previously, he held similar positions at Princess Sumaya University for Technology and the University of Petra, teaching various cybersecurity and data science courses. His extensive experience includes postdoctoral research at Tennessee State University and a lecturer role at King Faisal University, where he taught numerous engineering courses and supervised many capstone projects. Throughout his career, he has contributed to various funded research projects and has actively engaged in academic committees and training programs.

📚 Research Interests : 

His research interests encompass machine learning, cybersecurity, IoT/CPS modeling, and embedded systems, aiming to enhance the security and efficiency of interconnected systems.

📝 Publication Top Notes :

  • Q. Abu Al-Haija, M. Al Fayoumi, “An intelligent identification and classification system for malicious uniform resource locators (URLs),” Neural Computing and Applications (NCAA), Springer, 2023.
  • Q. Abu Al-Haija, M. AlOhaly, M. Odeh, “A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach,” Sensors, MDPI, 2023.
  • Q. Abu Al-Haija, A. Al Badawi, “High-performance intrusion detection system for networked UAVs via deep learning,” Neural Computing and Applications (NCAA), Springer, 2022.
  • Q. Abu Al-Haija, A. Al Badawi, “Boost-Defense for Resilient IoT Networks: A Head-to-Toe Approach,” Expert Systems, Wiley, 2022.
  • Q. Abu Al-Haija, “Top-Down Machine Learning Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks,” Frontiers in Big Data: Cybersecurity and Privacy, Frontiers, 2022.
  • Q. Abu Al-Haija, M. Krichen, W. Abu Elhaija, “Machine-Learning-Based Darknet Traffic Detection System for IoT Applications,” Electronics, MDPI, Vol. 11(4), 2022.
  • S. Zidi, A. Mihoub, S. Qaisar, M. Krichen, Q. Abu Al-Haija, “Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment,” Journal of King Saud University-Computer and Information Sciences, Elsevier, In Press, 2022.
  • Altamimi, S., Abu Al-Haija, Q. “Maximizing intrusion detection efficiency for IoT networks using extreme learning machine,” Discover Internet of Things, 2024, 4(1), 5. [Open access]
  • Alsulami, A.A., Abu Al-Haija, Q., Alturki, B., Alghamdi, B., Alsemmeari, R.A. “Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model,” Scientific Reports, 2024, 14(1), 15591. [Open access]
  • Abu Al-Haija, Q., Altamimi, S., AlWadi, M. “Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey,” Expert Systems with Applications, 2024, 253, 124317. [Review]
  • Al-Fayoumi, M., Alhijawi, B., Al-Haija, Q.A., Armoush, R. “XAI-PhD: Fortifying Trust of Phishing URL Detection Empowered by Shapley Additive Explanations,” International Journal of Online and Biomedical Engineering, 2024, 20(11), pp. 80–101.
  • Khalil, M., Al-Haija, Q.A. “Ethical machine learning for internet of things network,” in Ethical Artificial Intelligence in Power Electronics, 2024, pp. 12–20. [Book Chapter]
  • Al-Haija, Q.A. “Preface,” in Smart and Agile Cybersecurity for IoT and IIoT Environments, 2024, pp. viii–xii. [Editorial]
  • Ayyad, W.R., Al-Haija, Q.A., Al-Masri, H.M.K. “Human factors in cybersecurity,” in Smart and Agile Cybersecurity for IoT and IIoT Environments, 2024, pp. 235–256. [Book Chapter]
  • Al-Haija, Q.A. Smart and Agile Cybersecurity for IoT and IIoT Environments, 2024, pp. 1–397. [Book]
  • Al-Tamimi, S.A., Al-Haija, Q.A. “Supply chain security, technological advancements, and future trends,” in Smart and Agile Cybersecurity for IoT and IIoT Environments, 2024, pp. 211–234. [Book Chapter]
  • Saif, A., Al-Haija, Q.A. “Artificial Intelligence (AI)-powered internet of things (IoT): Smartening Up IoT,” in Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science, 2024, pp. 18–29. [Book Chapter]

 

 

 

 

Xinyi Wei | Social Psychological Impacts | Best Researcher Award

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Assoc. Prof. Dr. Xinyi Wei | Social Psychological Impacts | Best Researcher Award

Associate Professor at Renmin University of China and Putian University, China

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University. He graduated from a “Double First-Class” university in China, excelling in a “Double First-Class” discipline. Over his 11-year academic career, he has published over 30 papers, including five as first author in top-tier journals (SSCI Q1), with an impressive impact factor of 10.1 for one of his articles. His research explores the social psychological impacts of emerging technologies, particularly in relation to mobile phone usage and addiction. In addition, he has completed significant projects funded by national and university-level grants.

Publication Profile : 

Scopus

🎓 Educational Background :

  • University: Graduated from a “Double First-Class” university in China 🇨🇳
  • Discipline: Specialized in a “Double First-Class” discipline 📚

💼 Professional Experience :

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University, with 11 years of academic experience. He has published over 30 academic papers, including five first-authored pieces in top-tier journals (SSCI Q1), achieving a maximum impact factor of 10.1. His expertise spans both quantitative and qualitative research methods in social sciences, further enriched by his involvement in significant research projects funded by prestigious organizations.

📚 Research Interests : 

  • 📱 Social psychological impacts of mobile technology
  • 📊 Gender differences in technology usage
  • 🧠 Cognitive and neural mechanisms related to behavioral responses
  • 💡 Smartphone addiction and its implications
  • 🌐 Effects of emerging technologies on society

📝 Publication Top Notes :

  1. Peng, J., Yuan, S., Wei, Z., Wu, S., & Ren, L. (2024). Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder. BMC Psychiatry, 24(1), 241. [Open access]
  2. Liu, C., Rotaru, K., Wang, Z., Albertella, L., & Ren, L. (2024). Examining network structure of impulsivity and depression in adolescents and young adults: A two-sample study. Journal of Affective Disorders, 362, 54–61.
  3. Gao, T., Yang, L., Wei, X., Zhang, L., & Lei, L. (2024). Is childhood emotional neglect associated with problematic smartphone use among adolescents? The mediating role of rejection sensitivity and depressive symptoms. Current Psychology, 43(32), 26477–26489.
  4. Wei, X., Chu, X., Geng, J., Wang, C., & Lei, L. (2024). Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users. Technology in Society, 77, 102566. [Open access]
  5. Li, J., Liu, C., Albertella, L., Liu, X., & Ren, L. (2024). Network analysis of the association between Dark Triad traits and depression symptoms in university students. Personality and Individual Differences, 218, 112495.
  6. Chu, X., Chen, Y., Litifu, A., Wei, X., & Lei, L. (2024). Social anxiety and phubbing: The mediating role of problematic social networking and the moderating role of family socioeconomic status. Psychology in the Schools, 61(2), 553–567. [Open access]
  7. Wei, X., Chu, X., Wang, H., Liu, C., & Lei, L. (2024). Does positive coping style alleviate anxiety symptoms after appearing problematic smartphone use for generation Z adolescents? The mediating role of state core self-evaluation. Current Psychology, 43(8), 6783–6795.
  8. Wang, Y., Gu, X., Geng, J., Wei, X., & Lei, L. (2024). Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: The buffering role of media literacy. Cyberpsychology, 18(1), 2. [Open access]
  9. Wei, X.-Y., Jiang, Y.-Z., Zhou, H.-L., & Jiang, H.-B. (2023). Erratum: Neuroticism and problematic smartphone use symptom types: Roles of anxiety and alexithymia. Current Psychology, 42(36), 32616–32617. [Open access]

 

 

 

 

SOUMYA RANJAN GURU | MATERIAL CHARACTERIZATION | Best Researcher Award

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Dr. SOUMYA RANJAN GURU | MATERIAL CHARACTERIZATION | Best Researcher Award

ASSISTANT PROFESSOR of PARUL UNIVERSITY, India

Dr. Soumya Ranjan Guru is a passionate mechanical engineer dedicated to advancing knowledge in machine design and tribology. With a strong academic background and hands-on experience, he aims to inspire future engineers through teaching and innovative research. His commitment to excellence and community development is further reflected in his founding role at Silpakriti, an initiative supporting local artisans.

Publication Profile : 

Orcid

🎓 Educational Background :

Dr. Soumya Ranjan Guru completed his PhD in Machine Design from IIT Kharagpur in 2023, achieving a CGPA of 8.76. He also holds an M-Tech in Machine Design from NIT Warangal (2016, 7.55 CGPA) and a B-Tech in Mechanical Engineering from BPUT Odisha (2013, 7.50 CGPA).

💼 Professional Experience :

Dr. Guru is currently an Assistant Professor at Parul University, Vadodara, since May 2024. He has extensive experience in teaching and mentoring students across various mechanical engineering subjects, including Tribology, Mechatronics, and Engineering Mechanics. His industrial internships in PRO-E and a power plant have enriched his practical knowledge in the field.

📚 Research Interests : 

His research focuses on machine design, tribology, polymer science, and mechatronics. Notable achievements include developing empirical models for surface properties of polymers, creating polymer-based composites, and formulating innovative lubricants. He has published extensively in international journals and conferences, contributing significantly to the field of mechanical engineering.

📝 Publication Top Notes :

  1. Guru, S. R., Kumar, P., & Sarangi, M. (2022). Tribological Behaviour of Polymer-Based Composite Reinforced with Molybdenum Disulphide. In Machines, Mechanism and Robotics (pp. 503-511). Springer, Singapore.
  2. Guru, S. R., Panda, S., & Sarangi, M. (2018, September). Effects of Multicycle Microindentation on Mechanical Properties of Polymeric Materials. In Proceedings of Asia International Conference on Tribology 2018 (Vol. 2018, pp. 182-183). Malaysian Tribology Society.
  3. Ismail, S., & Guru, S. R. (2016). Tribological Performance of Silicon Oil Based CaCO3 Nanofluid. In Proceedings of the International Conference on Nanotechnology for Better Living (Vol. 3, pp. 272). DOI: 10.3850/978-981-09-7519-7nbl16-rps-272.
  4. Guru, S. R., & Sarangi, M. (2023). Multicycle Indentation Based Fatigue and Creep Study of Polymers. Journal of Polymer Research, 30, 401. DOI: 10.1007/s10965-023-03774-8.
  5. Guru, S. R., & Sarangi, M. (2023). Advancements in Polymer Friction and Wear: A Scratch-Modeling Approach. Tribology Transactions, 1-14. DOI: 10.1080/10402004.2023.2281365.
  6. Guru, S. R., Panda, S., Kumar, P., & Sarangi, M. (2024). A Study on Tribological Performances of PEEK and PTFE Based Composites with MoS2 Reinforcements. Polymer Composites, 1-17. DOI: 10.1002/pc.28268.
  7. Guru, S. R., & Sarangi, M. (2024). A Phenomenological Model for Predicting Local Creep and Thermal Drift of Polymers from Micro-Indention Test Data. Journal of Polymer Research, 31, 251. DOI: 10.1007/s10965-024-04100-6.
  8. Guru, S. R., & Sarangi, M. (2024). Development of Empirical Models for Estimation Polymer Indentation Fatigue and Validation with Finite Element Simulation Models. Journal of Materials Research, 1-13. DOI: 10.1557/s43578-024-01399-1.
  9. Guru, S. R., Venugopal, C., & Sarangi, M. (2023). Effect of Polymer Additives on the Tribological Performance of Soybean Oil. Industrial Lubrication and Tribology, 75(5), 607-618. DOI: 10.1108/ILT-11-2022-0321.

 

 

 

 

Negalign Wake Hundera | Cybersecurity | Best Researcher Award

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Assist. Prof. Dr. Negalign Wake Hundera | Cybersecurity | Best Researcher Award

Postdoctoral Researcher of Zhejiang Normal University, China

Dr. Negalign Wake Hundera is a seasoned researcher and educator with a Ph.D. in Software Engineering and extensive experience in network security and IoT technologies. His career reflects a strong commitment to advancing research and teaching in technology-driven fields. With a proven track record in publishing, guiding students, and leading technical teams, he is now seeking opportunities to further his research and contribute to innovative projects in academia or industry. 🌍🔐💻📚

Publication Profile : 

Scopus

🎓 Educational Background :

Negalign Wake Hundera completed his Ph.D. in Software Engineering at the University of Electronic Science and Technology of China (UESTC), Chengdu, in June 2021, under the guidance of Prof. Hu Xiong. Prior to this, he earned an M.Sc. in Computer Science and Technology from UESTC in 2016 and a Bachelor’s degree in Information Technology from Jimma University, Ethiopia, in 2009.

💼 Professional Experience :

Negalign’s professional journey spans roles in academia and industry. He has served as a Postdoctoral Research Fellow at Zhejiang Normal University, Jinhua, China, from August 2022 to August 2024, contributing to high-impact journals and guiding students through their research projects. Before this, he was an Assistant Professor and Lecturer at Wolkite University, Ethiopia, where he not only taught but also led significant projects related to ICT infrastructure and network security. He has also held a leadership position as the Information Communication and Network Infrastructure Team Leader at Wolkite University, overseeing the development and management of the institution’s network infrastructure.

📚 Research Interests : 

Negalign’s research focuses on several cutting-edge areas including network security, public key cryptography, information security, IoT, wireless sensor networks, cloud computing, deep learning, real-time object detection, vehicular networks, and UAV networks. His work aims to apply these technologies in practical fields such as healthcare, intelligent transportation systems, smart agriculture, and cybersecurity.

📝 Publication Top Notes :

  1. Hundera, N. W., Aftab, M. U., Mesfin, D., Xu, H., & Zhu, X. (2024). An efficient heterogeneous online/offline anonymous certificateless signcryption with proxy re-encryption for Internet of Vehicles. Vehicular Communications, 49, 100811. [Open Access]
  2. Hundera, N. W., Shumeng, W., Mesfin, D., Xu, H., & Zhu, X. (2024). An efficient online/offline heterogeneous proxy signcryption for secure communication in UAV networks. Journal of King Saud University – Computer and Information Sciences, 36(5), 102044. [Open Access]
  3. Leka, H. L., Fengli, Z., Kenea, A. T., Tohye, T. G., Tegene, A. T., & Hundera, N. W. (2023). PSO-Based Ensemble Meta-Learning Approach for Cloud Virtual Machine Resource Usage Prediction. Symmetry, 15(3), 613. [Open Access]
  4. Tohye, T. G., Qin, Z., Leka, H. L., & Hundera, N. W. (2023). Glaucoma Detection Using Convolutional Neural Network (CNN). In Proceedings of the 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP 2023).
  5. Assefa, A. A., Tian, W., Hundera, N. W., & Aftab, M. U. (2022). Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning. Symmetry, 14(10), 2159. [Open Access]
  6. Hundera, N. W., Jin, C., Geressu, D. M., Olanrewaju, O. A., & Xiong, H. (2022). Proxy-based public-key cryptosystem for secure and efficient IoT-based cloud data sharing in the smart city. Multimedia Tools and Applications, 81(21), 29673–29697.
  7. Hundera, N. W., Jin, C., Aftab, M. U., Mesfin, D., & Kumar, S. (2021). Secure outsourced attribute-based signcryption for cloud-based Internet of Vehicles in a smart city. Annales des Telecommunications/Annals of Telecommunications, 76(9-10), 605–616.
  8. Leka, H. L., Fengli, Z., Kenea, A. T., Atandoh, P., & Hundera, N. W. (2021). A Hybrid CNN-LSTM Model for Virtual Machine Workload Forecasting in Cloud Data Center. In Proceedings of the 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP 2021), 474–478.
  9. Hundera, N. W., Mei, Q., Xiong, H., & Geressu, D. M. (2020). A secure and efficient identity-based proxy signcryption in cloud data sharing. KSII Transactions on Internet and Information Systems, 14(1), 455–472.
  10. Oluwasanmi, A., Akeem, S., Jehoaida, J., Baagere, E., Qin, Z., & Hundera, N. W. (2019). Sequential multi-kernel convolutional recurrent network for sentiment classification. In Proceedings of the IEEE International Conference on Software Engineering and Service Sciences (ICSESS), 129–133.

 

 

 

Adil Israr | Electrical Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Adil Israr | Electrical Engineering | Best Researcher Award

Assistant Professor at Balochistan University of Information Technology, Pakistan

Dr. Adil Israr is an Assistant Professor at Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS) in Quetta, Pakistan. He holds a Ph.D. in Electrical Engineering from Zhejiang University, China, where he focused on renewable energy provision and energy-efficient strategies for sustainable 5G infrastructure. His research includes performance analysis of communication systems and sustainable energy solutions for modern networks.

Publication Profile : 

Scopus

🎓 Educational Background :

Dr. Adil Israr earned his Ph.D. in Electrical Engineering from Zhejiang University, China, in 2023, where his thesis focused on renewable energy provision and energy-efficient strategies for sustainable 5G communication infrastructure. Prior to this, he completed his M.S. in Telecommunication Engineering at Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS) in 2015, with a thesis on performance analysis of downlink linear precoding in massive MIMO systems. His undergraduate degree in Telecommunication Engineering was also obtained from BUITEMS in 2009.

💼 Professional Experience :

Dr. Israr has been serving as an Assistant Professor at Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS) in Quetta, Pakistan, since 2016. He initially joined the university as a Lecturer in 2010 and has been a part of the institution for over a decade. His roles have involved teaching, research, and academic development in the field of electrical and telecommunication engineering.

📚 Research Interests : 

Dr. Israr’s research interests focus on advancing sustainable energy solutions and optimizing communication networks. He explores innovative strategies for integrating renewable energy into 5G infrastructures 🌱📶, performs emission-aware analyses for mobile networks 🌍⚡, and develops energy-efficient operational models for next-generation communication systems 📊🔋. His work aims to contribute to the development of greener and more efficient technologies for modern telecommunications.

📝 Publication Top Notes :

    1. Israr, A., Yang, Q., & Israr, A. (2024). Cost-efficient microgeneration renewable energy provision dimensioning for sustainable 5G heterogeneous network. Sustainable Energy, Grids and Networks, 39, 101493. doi: 10.1016/j.segan.2024.101493
    2. Israr, A., Yang, Q., & Israr, A. (2024). Renewable microgeneration cooperation with base station sleeping-mode strategy for energy-efficient operation of 5G infrastructures. Sustainable Energy, Grids and Networks, 38, 101358. doi: 10.1016/j.segan.2024.101358
    3. Israr, A., Yang, Q., & Israr, A. (2023). Emission-aware sustainable energy provision for 5G and B5G mobile networks. IEEE Transactions on Sustainable Computing, 8(4), 670–681. doi: 10.1109/TSUSC.2023.3271789
    4. Israr, A., Yang, Q., & Israr, A. (2023). Renewable energy provision and energy-efficient operational management for sustainable 5G infrastructures. IEEE Transactions on Network and Service Management, 20(3), 2698–2710. doi: 10.1109/TNSM.2023.3244618
    5. Israr, A., & Israr, A. (2023). Optimal free space optical fronthaul framework for 5G CRAN. International Journal of Information Technology (Singapore), 15(6), 3327–3334. doi: 10.1007/s41870-023-01371-y
    6. Yang, S., Ding, Q., Wang, Q., … Lu, P., & Israr, A. (2023). Data quality improvement method for power energy consumption analysis in customer-side management. Lecture Notes on Data Engineering and Communications Technologies, 169, 668–674. doi: 10.1007/978-3-031-27304-4_67
    7. Israr, A., Yang, Q., & Israr, A. (2022). Power consumption analysis of access network in 5G mobile communication infrastructures — An analytical quantification model. Pervasive and Mobile Computing, 80, 101544. doi: 10.1016/j.pmcj.2022.101544
    8. Israr, A., Yang, Q., Li, W., & Zomaya, A. Y. (2021). Renewable energy powered sustainable 5G network infrastructure: Opportunities, challenges and perspectives. Journal of Network and Computer Applications, 175, 102910. doi: 10.1016/j.jnca.2020.102910
    9. Zheng, W., Sun, K., Zhang, X., … Israr, A., & Yang, Q. (2020). Cellular communication for ubiquitous Internet of Things in smart grids: Present and outlook. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, 5592–5596. doi: 10.1109/CCDC52028.2020.9164273
    10. Israr, A., & Yang, Q. (2020). Resilient and sustainable microgeneration power supply for 5G mobile networks. In Renewable Energy Microgeneration Systems: Customer-led energy transition to make a sustainable world, 213–228. Springer. doi: 10.1007/978-3-030-48609-4_14

 

 

 

 

Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

Posted on by sciencefather

Assist. Prof. Dr. Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

Assitant Professor at Kermanshah University of Technology, Iran

Dr. Rezgar Hasanzadeh is an Assistant Professor at Kermanshah University of Technology, with a background in Mechanical Engineering from Urmia University. His research focuses on polymers, polymeric foams, and plastic waste management. 🎓🌍

Dr. Hasanzadeh earned his B.Sc., M.Sc., and Ph.D. from Urmia University, graduating with top honors and receiving several prestigious awards, including the Distinguished Researcher of West Azerbaijan Province and Shahid Chamran Award from Iran’s National Elites Foundation. 🏅🌟

Publication Profile : 

Scopus

🎓 Educational Background :

  • B.Sc. in Mechanical Engineering
    Urmia University (2009-2013) – GPA: 16.38/20
  • M.Sc. in Mechanical Engineering
    Urmia University (2013-2015) – GPA: 18.86/20
  • Ph.D. in Mechanical Engineering
    Urmia University (2015-2019) – GPA: 19.76/20
    Thesis: Effect of Structural Properties on the Thermal-Insulation Properties of Polymeric Hybrid Nanocomposite Foams

👨‍🏫 Professional Experience :

  • Assistant Professor
    Kermanshah University of Technology (2024–Ongoing)
  • Lecturer
    Urmia University (2017–2024)
  • Teaching Fellow
    Urmia University, Professor Taher Azdast (2015–2024)
  • Lecturer
    Technical and Vocational University, Urmia Branch (2016–2023)

🔬 Research Interests : 

  • Polymers & Polymeric Foams
  • Plastic Waste Treatment & Management ♻️
  • Gasification Process 🌱
  • Thermal-Insulation Polymeric Foams
  • Polymeric Nanocomposites
  • 3D & 4D Printing 🖨️
  • Injection Molding/Extrusion Process
  • Plastic Processing & Technology
  • Multi-Objective Optimization

📝 Publication Top Notes :

  1. Hasanzadeh, R., & Mojaver, P. (Eds.). (2023). Plastic Waste Treatment and Management: Gasification Processes. Springer Nature.
  2. Hasanzadeh, R., Doniavi, A., & Rosen, M.A. (2023). Multi-criteria Decision-Making Analysis of Plastic Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_8
  3. Hasanzadeh, R., & Azdast, T. (2023). Evaluation of Steam Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_7
  4. Hasanzadeh, R., Azdast, T., & Park, C.B. (2023). Evaluation of Air Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_6
  5. Gharibi, A.R., Babazade, R., & Hasanzadeh, R. (2023). Collected Plastic Waste Forecasting by 2050. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_2
  6. Azdast, T., Hasanzadeh, R., Lee, R.E., Lee, P.C., Wang, G., & Park, C.B. (2023). High-Pressure Foam Injection Molding of Polylactide/Nano-Fibril Composites with Mold Opening. In Polymeric Foams (pp. 129-139). CRC Press.
  7. Azdast, T., & Hasanzadeh, R. (2018). Polymeric Microcellular Foams: Principles, Basics and Properties. Urmia University Press.
  8. Gharibi, A., Doniavi, E., & Hasanzadeh, R. (2024). Metaheuristic particle swarm optimization for enhancing energetic and exergetic performances of hydrogen energy production from plastic waste gasification. Energy Conversion and Management, 308, 118392. [8 citations]
  9. Aghaiee, S., Azdast, T., Hasanzadeh, R., & Farhangpazhouh, F. (2024). Fabrication of bone tissue engineering scaffolds with a hierarchical structure using combination of 3D printing/gas foaming techniques. Journal of Applied Polymer Science, 141(16), e55238. [1 citation]
  10. Gharibi, A., Babazadeh, R., & Hasanzadeh, R. (2024). Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects. Process Safety and Environmental Protection, 183, 46–58. [8 citations]
  11. Khaleghi, S., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Performance optimization of acrylonitrile butadiene styrene/thermoplastic polyurethane composite foams blown with carbon dioxide using Taguchi technique. Journal of Applied Polymer Science, 141(8), e54996. [1 citation]
  12. Mojaver, M., Azdast, T., & Hasanzadeh, R. (2024). An experimental and numerical study on an innovative metastructure for 3D printed thermoplastic polyurethane with auxetic performance. Polymers for Advanced Technologies, 35(2), e6298. [0 citations]
  13. Doniavi, E., Babazadeh, R., & Hasanzadeh, R. (2024). Polyethylene gasification for sustainable plastic waste management with respect to energy, exergy, and environmental considerations: A non-linear programming optimization. Process Safety and Environmental Protection, 182, 86–97. [7 citations]
  14. Mojaver, P., Hasanzadeh, R., Chitsaz, A., Azdast, T., & Mojaver, M. (2024). Tri-objective central composite design optimization of co-gasification of eucalyptus biomass and polypropylene waste. Biomass Conversion and Biorefinery, 14(4), 4829–4841. [12 citations]
  15. Khaleghi, S., Azdast, T., Hasanzadeh, R., Park, C.B., & Rasouli, A. (2024). Tuning cellular structure in a previously developed microcellular acrylonitrile butadiene styrene/thermoplastic polyurethane blend foams. Polymer Engineering and Science. [0 citations; Article in Press]
  16. Azerang, B., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Acrylonitrile butadiene styrene/multi-walled carbon nanotubes nanocomposite foams for electromagnetic interference shielding with optimized performance. Journal of Thermoplastic Composite Materials. [0 citations; Article in Press]
  17. Hasanzadeh, R., Mihankhah, P., Azdast, T., Bodaghi, M., & Moradi, M. (2024). Process-property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication. Polymer Engineering and Science, 64(1), 399–411. [9 citations]