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 : 

Orcid

 

🎓 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.

💼 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.

📚 Research Interests : 

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.

📝 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. Редакционная коллегия, 70.
  9. Otieno, R. K. (2011). An evaluation of technical efficiencies of Liaoning seaports. 大连海事大学.

 

 

 

 

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 : 

Scopus

 

🎓 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.

💼 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.

📚 Research Interests : 

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.

📝 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. 🌍📚

Publication Profile : 

Orcid

 

🎓 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.

💼 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.

📚 Research Interests : 

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.

📝 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

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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 : 

Scopus

 

🎓 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

💼 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

📚 Research Interests : 

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

📝 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).

 

 

 

 

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

Published on by Innovation Technologist

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

Published on by Innovation Technologist

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]