Vahid Salarvand |Mechanical| Excellence in Research

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Dr. Vahid Salarvand |Mechanical| Excellence in Research

Imam Khomeini International University,Iran

Dr. Vahid Salarvand is a distinguished academic and researcher affiliated with Imam Khomeini International University (IKIU) in Iran. He holds a significant role in his field, contributing to both teaching and research at the university. With a background in [insert specific field of study], Dr. Salarvand has garnered expertise in [mention specific research areas or specialties]. Throughout his career, he has been involved in various scholarly publications and academic collaborations, contributing to advancements in his field. Dr. Salarvand’s dedication to higher education and research has made him a respected figure at Imam Khomeini International University.

Summary:

Dr. Vahid Salarvand is a highly skilled and dedicated researcher in the fields of materials engineering and electrochemical performance. His academic background, combined with a rich set of technical skills and significant contributions to advanced materials synthesis, makes him a strong candidate for the “Excellence in Research” award. His ability to link fundamental research with industrial applications demonstrates a solid foundation for continued success and innovation.

 

Professional Profiles:

Scopus

🎓 Education :

Vahid Salarvand is currently pursuing a Ph.D. in Materials Engineering and Metallurgy at the Department of Materials Science and Engineering at Imam Khomeini International University, Iran, starting in 2022. His doctoral research focuses on materials science, and he is actively contributing to innovative work in the field. He completed his M.S. in Materials Engineering and Metallurgy at the same university from 2015 to 2018, where his thesis focused on the “Synthesis and characterization of nanostructure molybdenum nickel alloy produced by mechanical milling.” He also holds a B.S. in Mechanical Engineering, specializing in construction and production, from Saman Al-Hajj Technical and Vocational School, Mashhad, Iran (2013-2015).

 

🏢 Experience:

Vahid Salarvand has significant professional experience in the industry, having worked as a Quality Control Manager at Carno Ideal Arman Company from 2020 to 2023. During this role, he oversaw the quality assurance processes, ensuring that production standards were met, which aligns with his technical and engineering expertise.

🛠️Skills:

Synthesis of materials using hydrothermal methods.,Proficient in additive manufacturing using Fused Deposition Modeling (Ender 5) and Digital Light Processing (Anycubic Photon M3 Max).,Skilled in light microscopy, X-ray diffraction (XRD), and metallography (mounting and polishing).,Experienced in heat treatment using Carbolite Tube Furnace (CTF 3 1600) for material processing.

 

Research Focus :

His research focuses on the synthesis and characterization of advanced materials for applications in energy systems, corrosion resistance, and electrocatalysis. His work in electrochemical processes, especially for hydrogen evolution reactions and water splitting, reflects his deep understanding of materials science.

 

🔬Awards:

Vahid’s notable accomplishments include an international patent for an invention entitled “NiMo-MoO2 catalyst synthesis process” (Class B01J 37.03 C22C 1.05). He has also conducted an industrial thesis under the supervision of the Nano Wealth Development Headquarters, which reflects his strong collaboration with industry and research communities.

Conclusion:

Dr. Salarvand’s strengths in both academic and industrial research, along with his passion for advancing materials science, align well with the criteria for “Excellence in Research.” By furthering his collaborations and seeking additional funding opportunities, he could significantly increase his impact. Based on his current achievements and future potential, he stands out as a deserving candidate for the award, showcasing a strong commitment to innovation and research excellence.

 Publications:

  • Microstructure, mechanical properties, and corrosion resistance of dissimilar weld joints between SS304 and Inconel 600 welded using gas tungsten arc welding
    • Authors: Salarvand, V., Ahmadian, F., Torabpour, M., Mostafaei, A., Brabazon, D.
    • Journal: International Journal of Pressure Vessels and Piping
    • Year: 2024
    • Citations: 0

 

  • Facile hydrothermal synthesis of combined MoSe2PS nanostructures on nickel foam with superior electrocatalytic properties for hydrogen evolution reaction
    • Authors: Salarvand, V., Abedini Mohammadi, M., Yousefifar, A., Yazdi, M.S., Mostafaei, A.
    • Journal: International Journal of Hydrogen Energy
    • Year: 2023
    • Citations: 9

 

  • In-situ hydrothermal synthesis of NiCo(X)Se compound on nickel foam for efficient performance of water splitting reaction in alkaline media
    • Authors: Salarvand, V., Abedini Mohammadi, M., Ahmadian, F., Saghafi Yazdi, M., Mostafaei, A.
    • Journal: Journal of Electroanalytical Chemistry
    • Year: 2022
    • Citations: 10

 

  • Microstructure and corrosion evaluation of as-built and heat-treated 316L stainless steel manufactured by laser powder bed fusion
    • Authors: Salarvand, V., Sohrabpoor, H., Mohammadi, M.A., Mostafaei, A., Brabazon, D.
    • Journal: Journal of Materials Research and Technology
    • Year: 2022
    • Citations: 21

 

  • Production and characterization of high-performance cobalt–nickel selenide catalyst with excellent activity in HER
    • Authors: Ahmadian, F., Salarvand, V., Saghafi, M., Noghani, M.T., Yousefifar, A.
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
    • Citations: 7

 

  • Microstructural and mechanical evaluation of post-processed SS 316L manufactured by laser-based powder bed fusion
    • Authors: Sohrabpoor, H., Salarvand, V., Lupoi, R., Choi, C.-H., Brabazon, D.
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
    • Citations: 33

 

  • Synthesis, Characterization, and Investigation of Hydrogen Evolution Activity of Ni-Mo/Al2O3 Composite
    • Authors: Salarvand, V., Mahmoodi, H., Ahmadian, F., Saghafi, M., Noghani, M.T.
    • Journal: ChemistrySelect
    • Year: 2020
    • Citations: 4

 

  • Investigation of microstructure and corrosion resistance of AISI 304 stainless steel joint with ER308 and ERNiCr-3 filler metals by GTAW
    • Authors: Jafarzadegan, M., Ahmadian, F., Salarvand, V., Kashkooli, S.
    • Journal: Metallurgical Research and Technology
    • Year: 2020
    • Citations: 3

 

  • Hydrogen evolution activity of NiMo-MoO2 produced by mechanical milling
    • Authors: Salarvand, V., Saghafi, M., Noghani, M.T.
    • Journal: Journal of Ultrafine Grained and Nanostructured Materials
    • Year: 2019
    • Citations: 5

 

  • Charge storage properties of mixed ternary transition metal ferrites MZnFe oxides (M = Al, Mg, Cu, Fe, Ni) prepared by hydrothermal method
    • Authors: Saghafi, M., Hosseini, S.A., Zangeneh, S., Vahedi, S., Mohajerzadeh, S.
    • Journal: SN Applied Sciences
    • Year: 2019
    • Citations: 17

 

Evan K. Paleologos | Fluid mechanics | Best Researcher Award

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Prof. Evan K. Paleologos | Fluid mechanics | Best Researcher Award

Prof. Evan K. Paleologos,  Abu Dhabi University, United Arab Emirates.

Professor Evan K. Paleologos is a distinguished faculty member at Abu Dhabi University in the United Arab Emirates, where he specializes in [specific field or subject area, e.g., engineering, business, etc.]. With a robust academic background and extensive research experience, he has contributed significantly to [specific areas of research or projects]. Professor Paleologos is committed to fostering innovation and excellence in education, actively mentoring students and collaborating on interdisciplinary projects that address contemporary challenges. His work has been published in numerous journals, reflecting his dedication to advancing knowledge in his field.

 

Summary:

Professor Evan K. Paleologos, a distinguished faculty member at Abu Dhabi University, exemplifies excellence in research and education within the field of engineering. His extensive contributions to various domains, including environmental geotechnics and hydraulic conductivity, highlight his commitment to advancing knowledge and addressing pressing global challenges.

Professional Profiles:

Google Scholar

🎓 Education :

He earned a Ph.D. in Groundwater Hydrology with a minor in Mathematics from the University of Arizona in 1994, alongside an M.Sc. and B.Sc. in Civil and Environmental Engineering from the Polytechnic Institute of New York University in 1986.

🏢 Experience:

Dr. Paleologos is currently a Professor and Director of Graduate Programs at Abu Dhabi University. His previous roles include Associate Professor at the Technical University of Crete and tenured Associate Professor at the University of South Carolina. He has served as Science Advisor on water issues to the Greek Minister of Environment and held leadership positions in various academic and industry organizations.

🛠️Skills:

Dr. Evan K. Paleologos possesses extensive expertise in groundwater hydrology, environmental geotechnology, and project management. His skills encompass advanced research methodologies, risk analysis, and environmental impact assessments. He excels in academic leadership, curriculum development, and interdisciplinary collaboration.

Research Focus :

His research primarily revolves around groundwater hydrology, environmental geotechnics, and sustainable resource management. Dr. Paleologos has authored and edited several books and publications, contributing significantly to advancements in sustainable practices in engineering and environmental science.

 

🔬Awards: 

He has received numerous accolades, including the Best Paper Award from the ICE Journal of Environmental Geotechnics in 2023 and the UAE Research & Innovation Award. He has also been recognized with multiple research and teaching awards at Abu Dhabi University.

Conclusion:

Professor Evan K. Paleologos stands out as a leading candidate for the Best Researcher Award. His extensive research contributions, dedication to mentorship, and commitment to innovative solutions make him a vital asset to the academic community. With targeted efforts to enhance public engagement and dissemination of his work, he can further amplify his impact and legacy in the field of engineering.

Publications :
    • Paleologos, E.K., Neuman, S.P., Tartakovsky, D. (1996). Effective Hydraulic Conductivity of Bounded, Strongly Heterogeneous Porous Media. Water Resources Research, 32(5), 1333-1341.

     

    • Mohamed, A.M.O., Paleologos, E.K. (2017). Fundamentals of Geoenvironmental Engineering: Understanding Soil, Water, and Pollutant Interaction and Transport. Butterworth-Heinemann.

     

    • O’Kelly, B.C., El-Zein, A., Liu, X., Patel, A., Fei, X., Sharma, S., Mohammad, A., Paleologos, E.K. (2021). Microplastics in Soils: An Environmental Geotechnics Perspective. Environmental Geotechnics, 8(8), 586-618.

     

    • Syed, T.H., Lakshmi, V., Paleologos, E., Lohmann, D., Mitchell, K., Famiglietti, J.S. (2004). Analysis of Process Controls in Land Surface Hydrological Cycle over the Continental United States. Journal of Geophysical Research: Atmospheres, 109(D22).

     

    • Mohamed, A.M.O., Paleologos, E.K., Howari, F.M. (2021). Noise Pollution and Its Impact on Human Health and the Environment. In Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering.

     

    • Mohamed, A.M.O., Paleologos, E.K., Howari, F. (2020). Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering. Butterworth-Heinemann.

     

    • Vaverková, M.D., Paleologos, E.K., Dominijanni, A., Koda, E., Tang, C.S., et al. (2020). Municipal Solid Waste Management under COVID-19: Challenges and Recommendations. Environmental Geotechnics, 8(3), 217-232.

     

    • Paleologos, E.K., Caratelli, P., El Amrousi, M. (2016). Waste-to-Energy: An Opportunity for a New Industrial Typology in Abu Dhabi. Renewable and Sustainable Energy Reviews, 55, 1260-1266.

     

    • Paleologos, E.K., O’Kelly, B.C., Tang, C.S., Cornell, K., Rodríguez-Chueca, J., et al. (2020). Post COVID-19 Water and Waste Water Management to Protect Public Health and Geoenvironment. Environmental Geotechnics, 8(3), 193-207.

     

    • Tang, C.S., Paleologos, E.K., Vitone, C., Du, Y.J., Li, J.S., Jiang, N.J., Deng, Y.F. (2020). Environmental Geotechnics: Challenges and Opportunities in the Post-COVID-19 World. Environmental Geotechnics, 8(3), 172-192.

     

    • Lerche, I., Paleologos, E.K. (2001). Environmental Risk Analysis. McGraw-Hill.

     

    • Sarris, T.S., Paleologos, E.K. (2004). Numerical Investigation of the Anisotropic Hydraulic Conductivity Behavior in Heterogeneous Porous Media. Stochastic Environmental Research and Risk Assessment, 18, 188-197.

     

    • Neuman, S.P., Orr, S., Levin, O., Paleologos, E.K. (1992). Theory and High-Resolution Finite Element Analysis of 2-D and 3-D Effective Permeabilities in Strongly Heterogeneous Porous Media. In Mathematical Modeling in Water Resources (T.F. Russell et al., eds.), 2, 118-136.

     

    • Goli, V.S.N.S., Paleologos, E.K., Farid, A., Mohamed, A.M.O., O’Kelly, B.C., et al. (2022). Extraction, Characterisation and Remediation of Microplastics from Organic Solid Matrices. Environmental Geotechnics, 11(4), 259-292.

     

    • Roque, A.J., Paleologos, E.K., O’Kelly, B.C., Tang, A.M., Reddy, K.R., Vitone, C. (2021). Sustainable Environmental Geotechnics Practices for a Green Economy. Environmental Geotechnics, 9(2), 68-84.

     

    • Papapetridis, K., Paleologos, E.K. (2012). Sampling Frequency of Groundwater Monitoring and Remediation Delay at Contaminated Sites. Water Resources Management, 26, 2673-2688.

     

    • Iqbal, J., Howari, F.M., Mohamed, A.M.O., Paleologos, E.K. (2021). Assessment of Radiation Pollution from Nuclear Power Plants. In Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering.

     

    • Paleologos, E.K., Skitzi, I., Katsifarakis, K., Darivianakis, N. (2013). Neural Network Simulation of Spring Flow in Karst Environments. Stochastic Environmental Research and Risk Assessment, 27, 1829-1837.
    • Vaverková, M.D., Paleologos, E.K., Adamcová, D., Podlasek, A., Pasternak, G. (2022). Municipal Solid Waste Landfill: Evidence of the Effect of Applied Landfill Management on Vegetation Composition. Waste Management & Research, 40(9), 1402-1411.

     

    • Papapetridis, K., Paleologos, E.K. (2011). Contaminant Detection Probability in Heterogeneous Aquifers and Corrected Risk Analysis for Remedial Response Delay. Water Resources Research, 47(10).

Tohid Sharifi | Electromechanical | Best Paper Award

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Mr. Tohid Sharifi | Electromechanical | Best Paper Award

Mr. Tohid Sharifi, Niroo Research Institute (NRI), Iran.

Tohid Sharifi is a dedicated researcher at the Niroo Research Institute (NRI) in Iran, where he specializes in energy systems and renewable energy technologies. With a strong background in engineering and a passion for sustainable development, Tohid has contributed to various projects aimed at optimizing energy efficiency and advancing clean energy solutions. His work not only supports Iran’s energy goals but also aligns with global efforts to combat climate change. Tohid is committed to fostering innovation and collaboration within the energy sector, making him a valuable asset to both his institution and the broader research community.

Summary:

Tohid Sharifi is a dedicated researcher whose work in renewable energy technologies positions him as a strong candidate for the Best Paper Award. His innovative approaches and focus on energy efficiency contribute significantly to both national and global efforts in sustainable energy development. By continuously pushing the boundaries of his research, Tohid not only advances his field but also inspires collaboration and innovation within the energy sector.

Professional Profiles:

Google Scholar

🎓 Education :

Tohid earned his M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology (Tehran Polytechnic) in August 2021 with a GPA of 3.42/4. Prior to that, he completed his B.Sc. in Electrical Power Engineering at Urmia University in August 2018 with a GPA of 3.66/4.

🏢 Experience:

Tohid has extensive experience in both academic and industrial settings. He has worked on various thermal analysis and cooling system design projects for electric motors, including a role as a CFD specialist at the Niroo Research Institute. His industrial experience also includes thermal optimization and equivalent circuit extraction for permanent magnet synchronous motors.

🛠️Skills:

Tohid Sharifi possesses advanced proficiency in English (C1) and has a TOEFL ibt score of 95. He is skilled in various software applications including Ansys Fluent, Ansys Electronics Desktop, Ansys MotorCad, and Matlab/Simulink. His coding expertise includes C#, C, C++, Visual Basic, LaTeX, and Python for design scripting purposes.

Research Focus :

Tohid’s research focuses on electrical machines, specifically in the areas of heat transfer, cooling systems, and optimization algorithms for electric motors. He has developed a hybrid excitation flux-switching permanent magnet machine and conducted numerous studies published in reputable journals.

🔬Awards: 

Tohid is a co-inventor of a patent for a hybrid excited flux-switching permanent magnet motor with segmented magnets, issued in July 2022. He has contributed to multiple research papers and conference proceedings, showcasing his commitment to advancing the field of electrical engineering.

Conclusion:

Tohid Sharifi’s nomination for the Best Paper Award is well-deserved, given his impactful research and dedication to advancing clean energy solutions. With his strong technical foundation and commitment to sustainability, he stands as a leader in the field, ready to make further contributions that benefit both his local community and the broader global context in the fight against climate change. Recognizing his work through this award would not only honor his achievements but also encourage continued innovation in the energy sector.

Publications :

  • An asymmetrical cascaded single-phase quasi Z-source multilevel inverter with reduced number of switches and lower THD
    T. Sharifi, M. Mirsalim, S. Farzamkia, J.S. Moghani
    2020 11th Power Electronics, Drive Systems, and Technologies Conference
  • Optimal design of a synchronous reluctance motor using biogeography-based optimization
    T. Sharifi, M. Mirsalim
    2021 29th Iranian Conference on Electrical Engineering (ICEE), pp. 209-213
    Year: 2021
  • Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm
    T. Sharifi, M. Mirsalim
    2021 12th Power Electronics, Drive Systems, and Technologies Conference
    Year: 2021
  • Analytical Modeling and Electrical Equivalent Circuit Extraction for a Flux Switching PM Motor for EVs
    T. Sharifi, A. Eikani, M. Mirsalim
    2022 9th Iranian Conference on Renewable Energy & Distributed Generation
    Year: 2022
  • Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm
    T. Sharifi, V.M. Khales, M. Mirsalim
    2022 13th Power Electronics, Drive Systems, and Technologies Conference
    Year: 2022
  • Heat transfer study on a stator-permanent magnet electric motor: A hybrid estimation model for real-time temperature monitoring and predictive maintenance
    T. Sharifi, A. Eikani, M. Mirsalim
    Case Studies in Thermal Engineering, 105286
    Year: 2024

Pengfei Wang | Dynamics| Best Researcher Award

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Assoc. Prof. Pengfei Wang | Dynamics| Best Researcher Award

Assoc. Prof. Dr.,Pengfei Wang,University of Science and Technology of China,China.

Assoc. Prof. Dr. Pengfei Wang is an esteemed academic at the University of Science and Technology of China (USTC), specializing in advanced research within the fields of science and technology. With a strong background in innovation and scientific discovery, Dr. Wang has contributed significantly to his area of expertise, advancing cutting-edge projects and fostering academic excellence at USTC. His scholarly work, widely recognized both nationally and internationally, continues to push the boundaries of modern science and technology research.

Summary:

Pengfei Wang is a standout researcher with substantial contributions to mechanics and material science, especially in areas related to composite materials, stress wave propagation, and advanced experimental techniques. His editorial roles, active memberships in global institutions, and recognition through prestigious national awards demonstrate his leadership and dedication to advancing engineering mechanics.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Pengfei Wang received his Ph.D. in Engineering Mechanics from the University of Science and Technology of China in 2012. Prior to this, he completed his B.S. in Engineering Mechanics at Hefei University of Technology, China, in 2007. His academic background laid the foundation for his research in the mechanical behavior of materials, stress wave propagation, and experimental mechanics.

🏢 Experience:

Dr. Wang is currently a tenured Associate Professor in the Department of Modern Mechanics at the University of Science and Technology of China, a position he has held since November 2020. From 2016 to 2020, he was a tenure-track Associate Professor at the same institution. He also spent time as a Visiting Scholar at the University of California, Irvine, between 2019 and 2021, where he further expanded his knowledge in mechanical and aerospace engineering. Before his academic appointments in China, he worked as a Research Fellow at Nanyang Technology University in Singapore from 2012 to 2016, contributing to cutting-edge research in mechanical engineering.

🛠️Skills:

Dr. Wang is highly skilled in mechanical testing, dynamic experimental techniques, and computational simulations. His expertise in the finite element method and machine learning is complemented by his hands-on experience with various materials such as composites, brittle substances, and polymers. His research techniques often involve cutting-edge tools like the Hopkinson bar and SEM.

Research Focus :

Dr. Wang’s research interests are centered around the mechanical design of brittle and ductile materials, stress wave propagation in solids, and time-temperature coupling theories. He also investigates interface and surface strengthening mechanisms, leveraging multi-scale dynamic experimental techniques such as 1D-3D Hopkinson bar systems and in-situ SEM analysis. His work extends into the applications of Finite Element Method (FEM) and machine learning, with a focus on materials like carbon nanotube fibers, fiber-reinforced polymers, lightweight composites, and brittle materials.

🔬Awards: 

Dr. Wang has received multiple accolades for his contributions to the field of mechanics. In 2022, he was awarded the Anhui Province Progress Special Award for Mechanics Science and Technology. A year earlier, in 2021, he earned the prestigious National Explosive Mechanics Outstanding Young Scholar Award in China, recognizing his contributions to explosive mechanics and material science.

Conclusion:

Pengfei Wang is an excellent candidate for the Research for Best Researcher Award, particularly due to his significant contributions to mechanics, his editorial and referee positions in prestigious journals, and his recognition within China. With further international exposure and interdisciplinary research efforts, he would be even more competitive on a global scale. His current strengths make him a strong contender for the award.

Publications :

  • Wu, Y., Wang, P., Wang, D., Bu, L., Tian, J., Sun, G., Xu, S. (2024). Synergistic ductility deformation and helical design of carbon nanotube fiber composites. Carbon, 229, 119441.

 

  • Wu, Y., Wang, P., Wang, D., Bu, L., Tian, J., Xu, S. (2024). Unveiling the microstructural evolution and interaction mechanisms for twisted structures. International Journal of Mechanical Sciences, 279, 109514.

 

  • Yuan, L., Xu, S., Chen, M., Xie, Y., Lu, J., Wang, P. (2024). Stress wave in the mesoscopic discontinuous medium by fractional approach. International Journal of Mechanical Sciences, 272, 109197.

 

  • Hui, Z., Zhang, Z., Wang, Y., Zhang, R., Liu, X., Jiang, M., Ju, F., Hou, W., Xia, Z., Wang, P. (2024). Gradiently foaming ultrasoft hydrogel with stop holes for highly deformable, crack-resistant, and sensitive conformal human-machine interfaces. Advanced Materials, 36(23), 2314163.

 

  • Xie, Y., Xu, S., Yuan, L., Chen, M., Wang, P., Zhang, J. (2024). Dynamic responses of laminated and graded ZrC-Mo composites. International Journal of Mechanical Sciences, 271, 109134.

 

  • Jiang, H., Tian, J., Tang, X. Z., Qu, Y., Liu, X., Xu, S., Wang, P. (2024). Surface strengthening mechanism of graphene-oxide membrane and its modified aluminum lamina under penetration loading. Carbon, 225, 119098.

 

  • Hu, X., Zheng, Y., Sun, G., Wang, P. (2024). Understanding the torsional mechanical behavior of twisting carbon nanotube ribbon with different boundary conditions. Mechanics of Materials, 190, 104906.

 

  • Miao, C., Xu, S., Yuan, L., Chen, M., Xie, Y., Wang, P. (2023). Experimental investigation of failure diffusion in brittle materials subjected to low-speed impact. International Journal of Mechanical Sciences, 259, 108632.

 

  • Lu, J., Xu, S., Li, Y., Miao, C., Xie, Y., Yuan, L., Chen, M., Wang, P. (2023). Investigations on the compression-shear coupled stress waves propagating in heterogeneous rock. Mechanics of Materials, 186, 104786.

 

  • Chen, M., Xu, S., Yuan, L., Miao, C., Lu, J., Ma, H., Gao, G., Wang, P. (2023). Influence of stress state on dynamic behaviors of concrete under true triaxial confinements. International Journal of Mechanical Sciences, 253, 108399.

 

  • Wang, D., Wang, P., Wu, Y., Bu, L., Tian, J., Liu, M., Sun, G., Mei, L., Xu, S. (2023). Temperature and rate-dependent plastic deformation mechanism of carbon nanotube fiber: Experiments and modeling. Journal of the Mechanics and Physics of Solids, 173, 105241.

 

  • Yuan, L., Miao, C., Xu, S., Xie, Y., Zhang, J., Li, Y., Gao, G., Wang, P. (2023). Stress-wave propagation in multilayered and density-graded viscoelastic medium. International Journal of Impact Engineering, 173, 104415.

 

  • Wang, P., Jiang, H., Liu, M., Zhang, L., Xu, S. (2022). Toughening mechanisms for the dynamic perforation behavior of laminar aluminum alloy with lubricated frictional interfaces. Materials & Design, 224, 111268.

 

  • Xie, Y., Xu, S., Huang, J., Miao, C., Lu, J., Zhou, L., Wang, P. (2022). Dynamic compaction induced heterogeneity in boron carbide powder. Ceramics International, 48(23), 34999-35010.

 

  • Miao, C., Xu, S., Lu, J., Yuan, L., Wang, P. (2022). Dynamic breakage of double glass spheres chain subjected to impacting loading. International Journal of Mechanical Sciences, 232, 107610.

 

D. K. Sheena Christy | Mathematics | Excellence in Research

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 Dr. D. K. Sheena Christy | Mathematics | Excellence in Research

 Dr, D. K. Sheena Christy,SRM Institute of Science and Technology, Kattangulathur-603203, India

Dr. D. K. Sheena Christy is a distinguished academician and researcher at SRM Institute of Science and Technology, Kattangulathur, India. She is renowned for her contributions to her field, actively engaging in cutting-edge research and education. With a robust academic background and a commitment to advancing knowledge, Dr. Christy has made significant strides in her area of expertise.

 

Professional Profiles:

 

Scopus

Education :

  • SET: Mother Teresa Women’s University-Kodaikanal, 2017
  • Ph.D. (Mathematics): Madras Christian College, 2016
  • M.Phil. (Mathematics): Madras Christian College, 2004 – 88%
  • M.Sc. (Mathematics): Madras Christian College, 2001 – 83.14%
  • B.Sc. (Mathematics): Madras Christian College, 1999 – 75%

Teaching Experience:

  • Sri Padmavathi Engineering College: June 2002 – Sep 2002
  • Valliammai Engineering College (SRM Group): Sep 2002 – Oct 2006
  • Jeppiaar Engineering College: Sep 2008 – June 2010
  • SRM University: Aug 2011 – Present

Research Fields:

  • Theory of Computation
  • DNA Computing
  • Graph Theory

Research Guidance:

  • Guide Name: Dr. D. Gnanaraj Thomas (Retd. Professor), Department of Mathematics, Madras Christian College, Tambaram, Chennai.

Publications :

  • D.K. Sheena Christy, V. Masilamani, D.G. Thomas: Simple iso-array splicing grammar system, Indian Journal of Science and Technology (2014).
  • D.K. Sheena Christy, V. Masilamani, D.G. Thomas, A.K. Nagar, R. Thamburaj: Shuffle on array languages generated by array grammars, Mathematics for Applications (2014).
  • D.K. Sheena Christy, D.G. Thomas: On the power of permitting features in cooperating iso-array grammar systems, International Journal of Pure and Applied Mathematics (2015).
  • V. Masilamani, D.K. Sheena Christy, D.G. Thomas, A.K. Nagar, R. Thamburaj: Accepting H Iso-array systems, Combinatorial Image Analysis, Lecture Notes in Computer Science (2016).
  • D.K. Sheena Christy, D.G. Thomas: Accepting Hexagonal Array Splicing System with respect to Arrowheads, International Journal of Pure and Applied Mathematics (2017).
  • D.K. Sheena Christy, V. Masilamani, D.G. Thomas, A.K. Nagar, T. Robinson: Accepting H-Array Splicing Systems and Their Properties, Romanian Journal of Information Science and Technology (2018).
  • D.K. Sheena Christy, D.G. Thomas: Iso-Array Flat Splicing System, AIP Conference proceedings (2019).
  • D.K. Sheena Christy, P. John Paul, D.G. Thomas: H-Array System On Picture Languages With Array Rewriting Rules, AIP Conference Proceedings (2020).
  • A. John Kaspar, D.K. Sheena Christy, D.G. Thomas: On Reversible Fuzzy Turing Machine, AIP Conference proceedings (2022).
  • D.K. Sheena Christy, V. Latha, A. John Kaspar: Star Colouring on Corona Product of Two Graphs, AIP Conference Proceedings (2022).
  • A. John Kaspar, D.K. Sheena Christy, V. Masilamani, D.G. Thomas: Two Dimensional Fuzzy Regular Languages, Fuzzy Sets and Systems (2022).
  • A. John Kaspar, D.K. Sheena Christy, D.G. Thomas: Lattice Automata – Grammar, IAENG International Journal of Applied Mathematics (2022).
  • A. John Kaspar, D.K. Sheena Christy, Ismail Naci CANGUL: Star Chromatic Number of the Edge Corona of Two Graph, Journal of Survey in Fisheries Sciences (2023).

 

Li Wang | Manufacturing processes | Best Researcher Award

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Assoc Prof Dr. ALTAF LONE | Solid mechanics | Best Paper Award

Assoc Prof Dr, Li Wang,Xi’an Jiaotong University, China

Assoc Prof Dr. Li Wang is a distinguished academic at Xi’an Jiaotong University, China. He holds an esteemed position within the Department of Mechanical Engineering, where he contributes significantly to both teaching and research. Dr. Wang’s expertise lies in advanced manufacturing processes, robotics, and intelligent systems.

 

Professional Profiles:

 

Scopus

Education :

PhD in Mechanical Engineering (2002-2006),Xi ‘an Jiaotong University, China,Master in Power Electronics and Power Transmission (2000-2002),Anhui University of Technology, China,Bachelor in Computer Application Technology (1993-1997),East China Institute of Metallurgy, China

Professional Experience:

Visiting Scholar (2013-2014),Northwestern University, USA,Lecturer/Associate Professor (2007-present,Xi ‘an Jiaotong University, China

Research Interests and Expertise:

  • 3D printing and applications based on deep learning
  • Micro and nano 3D printing and rapid, high-precision printing
  • Integrated composite manufacturing and application of core components of multi-material microdrop 3D printing
  • Multi-field coupling control and application expansion of EHD-3D printing
  • Innovative design of 3D printing and structural functions
  • Innovative design of electronic devices

Skills:

  • Expertise in additive manufacturing technologies and applications
  • Proficiency in advanced 3D printing techniques including micro and nano 3D printing
  • Experience in composite manufacturing and electronic device innovation
  • Strong background in mechanical engineering and power electronics
  • Analytical skills in deep learning applications for 3D printing

Awards and Honors:

  • Recognized for contributions to additive manufacturing and mechanical engineering
  • Honored for professional services and research advancements in 3D printing technologies

Publications :

  • Wang, L., Zhang, Z., Zhang, R. et al. (2024). Non-heat source forming technology of binder jetting metal powder and its post-treatment process. Int J Adv Manuf Technol, 132, 2077–2089.
  • Li Wang, Yong Ma, Ke Wang, et al. (2023). Fabrication of a pressure sensor using 3D printed light-cured piezoelectric composites. Sensors and Actuators A: Physical, 362, 114586.
  • Li Wang, Ning Wang, Longxuan Yan, et al. (2023). High performance X-band electromagnetic wave absorption of SiBCN metamaterials fabricated by direct pyrolysis. Journal of the European Ceramic Society, 43(9).
  • Shuyuan Zhang, Li Wang, Yu Luo, et al. (2023). A convenient, low-cost graphene UV-cured additive manufacturing electronic process to achieve flexible sensors. Chemical Engineering Journal, 451(1), 138521.
  • Xueming Feng, Li Wang, Yan Yan Shery Huang, Yu Luo, et al. (2022). ACS Applied Materials & Interfaces, 14(34), 39199-39210.
  • Li Wang, Ning Wang, et al. (2022). Polysilazane-derived SiCN ceramics-based layerless printing. Additive Manufacturing, 55, 102845.
  • Zhang, Zf., Wang, L., Zhang, Lt. et al. (2021). Binder jetting 3D printing process optimization for rapid casting of green parts with high tensile strength. China Foundry, 18, 335–343.
  • Li Wang, Haojie Fu, Zhaofa Zhang, et al. (2022). Development of high-frequency and high-viscosity piezoelectric DOD print head and its jet performance. Sensors and Actuators A: Physical, 337, 113409.
  • Shuyuan Zhang, Li Wang, Yu Luo, et al. (2021). A novel UV-curable molecular-modified graphene oxide for high-resolution printed electronics. Carbon, 176.
  • Yu Luo, Yingtao Li, Xueming Feng, Yuechen Pei, Zhaofa Zhang, Li Wang, et al. (2020). Triboelectric nanogenerators with porous and hierarchically structured silk fibroin films via water electrospray-etching technology. Nano Energy, 75, 104974.

 

 

ALTAF LONE | Solid mechanics | Best Paper Award

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Mr. ALTAF LONE | Solid mechanics | Best Paper Award

PhD at NATIONAL INSTITUTE OF TECHNOLOGY SRINAGAR, India

Altaf Ahmad Lone is an accomplished researcher in Mechanical Engineering, currently pursuing his Ph.D. at the National Institute of Technology Srinagar. His academic journey began at Shri Pratap Higher Secondary School, followed by a Bachelor’s degree in Mechanical Engineering from Shri Mata Vaishno Devi University and a Master’s degree from the University of Kashmir. His master’s thesis focused on “Numerical Investigation of Crack Growth in Metals and Composites,” demonstrating expertise in finite element analysis.

 

Professional Profiles:

Google scholar 

ORCID

Education :

Mr. Altaf Lone’s educational journey reflects a strong foundation and progressive expertise in Mechanical Engineering. From 2011 to 2013, he attended Shri Pratap Higher Secondary School, where he focused on core subjects, particularly Mathematics. He then pursued a Bachelor’s degree in Mechanical Engineering at Shri Mata Vaishno Devi University from 2013 to 2017, during which he completed a thesis on “Chemical Dehumidification as an Alternative Cooling Source.” Following his undergraduate studies, Mr. Lone furthered his education at the University of Kashmir, earning a Master’s degree in Mechanical Engineering between 2018 and 2021. His master’s thesis, titled “Numerical Investigation of Crack Growth in Metals and Composites,” showcased his analytical and research skills. Currently, he is pursuing a Doctor of Philosophy in Mechanical Engineering at the National Institute of Technology Srinagar, with an expected completion year of 2024. His doctoral research focuses on the “Mechanics of Cranial Implants Designed from Advanced Biomaterials,” highlighting his commitment to advancing medical applications within the field of mechanical engineering.

Research Focus:

Altaf’s research focuses on applying advanced numerical methods and biomaterial mechanics to biomedical engineering, particularly in the development and analysis of cranial implants.

This summary integrates Altaf Ahmad Lone’s educational background, research pursuits, publications, software proficiency, and skills in the field of Mechanical Engineering and Biomedical Engineering.

Skills:

Mr. Altaf Lone possesses expertise in a range of software and programming languages crucial to his field of Mechanical Engineering. His software skills include proficiency in ABAQUS for finite element analysis, NEPER for generating and processing digital microstructures, Fusion360 for CAD/CAM design, and AutoCAD for precise drafting and modeling.

In addition to his software proficiency, Mr. Lone is adept in several programming languages essential for computational analysis and modeling. He has command over MATLAB for numerical computations and data visualization, FORTRAN for scientific and engineering calculations, and Python for versatile applications in data analysis, simulation, and automation within mechanical engineering contexts. These skills underscore his capability to integrate advanced software tools and programming languages to solve complex engineering challenges effectively.

Publications :

Thermo-mechanical analysis and estimation of turbine blade tip clearance of a small gas turbine engine under transient operating conditions

Authors: R Kumar, VS Kumar, MM Butt, NA Sheikh, SA Khan, A Afzal

Journal: Applied Thermal Engineering

Volume: 179

Pages: 115700

Year: 2020

Citations: 52

Determination of non-recrystallization temperature for niobium microalloyed steel

Authors: MN Akhtar, M Khan, SA Khan, A Afzal, R Subbiah, SN Ahmad, M Husain, …

Journal: Materials

Volume: 14

Issue: 10

Pages: 2639

Year: 2021

Citations: 37

Electro-thermo-elastic formulation for the analysis of smart structures

Authors: SN Ahmad, CS Upadhyay, C Venkatesan

Journal: Smart materials and structures

Volume: 15

Issue: 2

Pages: 401

Year: 2006

Citations: 37

Engineered synthetic diamond film as a protective layer for tribological and machining applications: a review

Authors: KA Najar, NA Sheikh, MM Butt, S Mushtaq, MA Shah

Journal: Journal of Bio-and Tribo-Corrosion

Volume: 5

Issue: 3

Pages: 59

Year: 2019

Citations: 34

Nano-composites and their applications: A review

Authors: SH Din, MA Shah, NA Sheikh, MM Butt

Journal: Characterization and Application of Nanomaterials

Volume: 3

Issue: 1

Pages: 40-48

Year: 2020

Citations: 33

Linear and nonlinear analysis of a smart beam using general electrothermoelastic formulation

Authors: SN Ahmad, CS Upadhyay, C Venkatesan

Journal: AIAA journal

Volume: 42

Issue: 4

Pages: 840-849

Year: 2004

Citations: 30

Enhancement in tribological and mechanical properties of cemented tungsten carbide substrates using CVD-diamond coatings

Authors: KA Najar, NA Sheikh, MA Shah

Journal: Tribology in Industry

Volume: 39

Issue: 1

Pages: 20

Year: 2017

Citations: 18

Effect of CVD-Diamond on the Tribological and Mechanical Performance of Titanium Alloy (Ti6Al4V).

Authors: SH Din, MA Shah, NA Sheikh

Journal: Tribology in Industry

Volume: 38

Issue: 4

Year: 2016

Citations: 18

Enhancing the wear resistance of WC–Co cutting inserts using synthetic diamond coatings

Authors: KA Najar, NA Sheikh, MM Butt, MA Shah

Journal: Industrial Lubrication and Tribology

Volume: 70

Issue: 7

Pages: 1224-1233

Year: 2018

Citations: 16

Tribological performance of titanium alloy Ti–6Al–4V via CVD–diamond coatings

Authors: SH Din, MA Shah, NA Sheikh

Journal: Journal of Superhard Materials

Volume: 40

Pages: 26-39

Year: 2018

Citations: 14

Shalini K | Operational research | Best Researcher Award

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Ms. Shalini K | Operational research | Best Researcher Award

Research scholar at REVA University, India

Ms. Shalini K is a dedicated academic professional currently pursuing her Ph.D. in Operations Research at REVA University. She holds an M.Sc. in Mathematics from Kuvempu University and a B.Ed. with a specialization in PM Method from Davanagere University. She also has a B.Sc. in Physics, Mathematics, and Computer Science from Kuvempu University. Ms. Shalini has extensive teaching experience, having served as a Mathematics Lecturer at Gnana Vikas Polytechnic College in Chitradurga for eight years. She is now a Research Assistant in the School of Physical Science (Mathematics) at REVA University. Her technical skills include proficiency in various programming languages such as C, C++, Sci, Maxima, R, MATLAB, and Python, as well as operating systems like MS-DOS and Windows.

 

Professional Profiles:

Google scholar 

Orcid

Education :

Ms. Shalini K is currently pursuing her Ph.D. in Operations Research at REVA University. She completed her M.Sc. in Mathematics from Kuvempu University in May 2009, achieving a percentage of 57.28. In January 2013, she obtained her B.Ed. with a specialization in PM Method from Davanagere University, where she scored 62.5%. Additionally, she holds a B.Sc. in Physics, Mathematics, and Computer Science from Kuvempu University, which she completed in June 2005 with a percentage of 48.8%.

Professional Experience:

Ms. Shalini K is currently working as a Research Assistant in the School of Physical Science (Mathematics) at REVA University in Bangalore, a position she has held since August 1, 2022. Prior to this, she worked as a Mathematics Lecturer at Gnana Vikas Polytechnic College in Chitradurga from July 2012 to August 2020. In total, she has 8 years of teaching experience and over 2 years of research experience.

Skills:

Ms. Shalini K possesses a diverse range of technical skills. She is proficient in programming languages such as C, C++, Sci, Maxima, R, MATLAB, and Python. Additionally, she is knowledgeable in various operating systems, including PGDCA, MS-DOS, and Windows 98/2000/XP.

Publications :

Authors: Shalini K, G. Rohini, P. Vishal, Sridevi Polasi Title: Analytical Hierarchy Process (AHP): A Steady Method for Quality Decision Making: A Case Study in Snack Food Industry Journal: Journal of Pharmaceutical Negative Results Volume: 13 Issue: 6 Pages: 1787-1798 Year: 2022 DOI: 10.47750/pnr.2022.13.S06.235

Authors: Shalini K, Sridevi Polasi Title: Optimized Multifaceted Approach in Agriculture by Goal Programming with R and Python Journal: SN Computer Science Volume: 5 Issue: 586 Pages: 1-8 Year: 2024 DOI: 10.1007/s42979-024-02908-z

Authors: Shalini K, Sridevi Polasi Title: Models of Goal Programming and R Programming to Earmark Acreage Book: Advances in Mathematical Modeling and Scientific Computing Conference: ICRDM 2022 Series: Trends in Mathematics Volume: 1 Pages: 31-41 Year: 2024 DOI: 10.1007/978-3-031-41420-6_47

Authors: Shalini K, Noor Jahan, Sridevi Polasi Title: Optimization Techniques in Transportation Problem Journal: Journal of Pharmaceutical Negative Results Volume: 13 Issue: 7 Pages: 2609-2622 Year: 2022 DOI: 10.47750/pnr.2022.13.S07.354

Authors: Shalini K, Sridevi Polasi Title: Nutrient Management for Rice Using Goal Programming Journal: Scandinavian Journal of Information Systems Volume: 35 Issue: 1 Pages: 600-605 Year: 2023 URL: sjisscandinavian-iris.com

Authors: Shalini K, Sridevi Polasi Title: An Optimal Model by Using LGP & GP in Rice Farm Journal: AIP Conference Proceedings Volume: 2649 Issue: 1 Pages: 600-605 Year: 2023 DOI: 10.1063/5.0115275

Authors: Shalini K, Sridevi Polasi, Poojitha Sampath Kumar, G. Rohini Title: Mathematical Modeling to Show the Effectiveness of the Metal Elements like Nickel and Chromium on the Skin Causing Dermatitis Journal: AIP Conference Proceedings Volume: 2821 Issue: 1 Pages: 06-13 Year: 2023 DOI: 10.1063/5.0167483

Authors: Shalini K, Sridevi Polasi, Motamarri Venkata Gangadha Lakshmi Title: Organic Farming by Analytic Hierarchy Process (AHP) Journal: Tuijin Jishu/Journal of Propulsion Technology Volume: 44 Issue: 3 Pages: 3878-3897 Year: 2023 DOI: 10.52783/tjjpt.v44.i3.2147

Dimitrios Damopoulos | Cyber-physical Security| Best Researcher Award

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Prof Dr. Dimitrios Damopoulos | Cyber-physical Security| Best Researcher Award

Prof Dr.Dimitrios Damopoulos ,Centinels.orgGreece

Prof. Dr. Dimitrios Damopoulos is a distinguished academic and researcher affiliated with Centinels.org, Greece. With extensive experience in his field, Dr. Damopoulos has made significant contributions to research and education, focusing on innovative technologies and methodologies. He is known for his expertise in areas such as cybersecurity, data privacy, and the development of secure systems.

 

Professional Profiles:

Google scholar 

Education :

  • PhD in Security of Information and Communication Systems,September 2010 – June 2013,Thesis: Design and development of an Anomaly Based Intrusion Detection and Reactive System for Mobile Devices,University of the Aegean, Department of Information & Communication Systems Engineering, Karlovassi, Greece,MSc in Technologies and Management of Information and Communication Systems,October 2008 – March 2010,Program: Information & Communication Systems Security,University of the Aegean, Department of Information & Communication Systems Engineering, Karlovassi, Greec,Exchange Studies (Master Thesis),September 2009 – February 2010,Thesis: Anomaly-Based Intrusion Detection Systems for Mobile Devices, University of Plymouth, School of Computing & Mathematics, United Kingdo,B.Sc. in Industrial Informatics,September 2003 – May 2008,Renamed to Computer and Informatics Engineering in 2013,Institute of Technology Kavala, renamed to Eastern Macedonia & Thrace (EMT) Institute of Technology in 2013, Kavala, Greece,Exchange Studies (Bachelor Thesis),September 2007 – April 2008,Thesis: Improving Cyber Security through Access Control Lists,University of Applied Science, Oldenburg/Ostfriesland/Wilhelmshaven (FH-OOW), Germany

Professional Experience:

Teaching Experience,University of South Alabama (2019 – 2021),CSC 320 Computer Organization and Architect (S20, F20, S21, F21, S22),CSC 333 Programming Language Theory (F20, F21),CSC 485/585 Cyber-Physical Security (S20, S21, S22),CSC 494/594 Information Security Research & Education (INSuRE) (S20, F20, S21),Stevens Institute of Technology (2015 – 2019),CS 105 Intro to Scientific Computing (F15, S16, F16, S17, F17, S18, F18, S19),CS 347 Software Development Process (S15, S16, S17, S18, S19),CS 383 Computer Organization (F15, S16, F16, F17, F18),CS 425 Cybersecurity Capstone I (INSuRE) (F17, F18),CS 426 Cybersecurity Capstone II (INSuRE) (S18, S19),CS 523 Programming the Internet of Things using iOS (S17, W17, W18, S19),CS 566 Smartphone and Mobile Security (W16, S17, W17, S18, W18),Pre-College Cybersecurity (W16, W17, W18),Research and Funding Projects,2022: Contributor for the Renewal of USA Cyber Scholars Program, NSF,2022: Senior Researcher for Counterfeit Chip Detection, COLSA Corporation,2021 – 2022: Principal Investigator for Cloud Stack Analysis via Performance Metrics, NSF/Cisco,2019 – 2021: Senior Researcher/Product Manager for Jaguar Project, Department of Interior,2020: Principal Investigator for Ethics in Cybersecurity, Department of Defense,2020: Principal Investigator for Establishing Interdisciplinary Research through INSuRE at University of South Alabama, NSF,2015: Senior Researcher for Minestrone, Air Force Research Laboratory (AFRL)

Research Focus:

  • Cybersecurity and Intrusion Detection
  • Anomaly-Based Intrusion Detection for Mobile Devices
  • Machine Learning Applications in Cybersecurity
  • Blockchain and Decentralized Systems
  • Cyber-Physical Systems Security
  • Ethics in Cybersecurity

Skills:

  • Cybersecurity
  • Anomaly-Based Intrusion Detection Systems
  • Machine Learning and Deep Learning
  • Blockchain Technology
  • Cyber-Physical Security
  • Programming Languages: iOS Development
  • Software Development Processes
  • Cloud Computing
  • Cybersecurity Education

Awards:

  • 2021: Second Place at DoraHacks Hack Austin USA: Web3 Blockchain Hackathon
  • 2018: Greek Army Appreciation Award
  • 2018: Faculty Appreciation Award, Stevens Institute of Technology

Publications :

Pending Publications

  • 2023: Convergence of Artificial Intelligence and Blockchain Technology: Characteristics, Applications, and Challenge and Open Issue Research: A Survey
  • 2022: Decentralized Intrusion Detection System based on Smart Contracts
  • 2023: Vulnerability Analysis for DeFi
  • 2023: Viability Assessment of Decentralized Autonomous Organizations and Supervisory Control and Data Acquisition on Public Blockchain Networks
  • 2022: Bias in Machine Learning: A Study based on Public Datasets
  • 2022: Introduction to Adversarial Attacks on Deep Learning Models
  • 2022: Adversarial Attacks in Machine Learning: Poisoning Models with Malicious Data
  • 2023: Chain of Trust in Pipelines
  • 2023: Decentralized SCADA and Autonomous Organizations

Peer-Reviewed Conference Papers

  • 2021: Machine Learning Classification of Obfuscation using Image Visualization
  • 2019: Introducing Research into the Undergraduate Curriculum in Cybersecurity
  • 2016: Location-enhanced Authentication using the IoT
  • 2016: Europe in the Shadow of Financial Crisis: Policy Making via Stance Classification
  • 2015: WYSISNWIV: What You Scan Is Not What I Visit
  • 2014: A Cloud-Based Architecture to Crowdsource Mobile App Privacy Leaks
  • 2014: The Best of Both Worlds: A Framework for the Synergistic Operation of Host and Cloud Anomaly-based IDS for Smartphones
  • 2013: A Competent Post-Authentication and Non-Repudiation Biometric-based Scheme for m-Learning
  • 2012: Lifting the Veil on Mobile Malware: A Complete Dynamic Solution for iOS
  • 2012: User-Privacy and Modern Smartphones: A Siri(ous) Dilemma
  • 2011: iSAM: An iPhone Stealth Airborne Malware

nabhan Yousef | internet of things| Excellence in Innovation

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Prof. nabhan Yousef | internet of things| Excellence in Innovation

Prof.nabhan Yousef ,marwadi university,India

Prof. Nabhan Yousef is a distinguished faculty member at Marwadi University, India. He holds an esteemed position in the university’s academic community, contributing significantly to both teaching and research. Prof. Yousef’s academic journey and professional expertise are characterized by his dedication to advancing knowledge and fostering innovation.

 

Professional Profiles:

Scopus

Education :

PhD in Electronics & Communication Technology,Marwadi University, Gujarat, India (07/2020 – 08/2024),Thesis: “Deep Learning Optimization Using U-Net architecture for brain tumor detection and segmentation from MRI images”,Attended conferences and workshops on recent advancements in AI,M.Tech in Telecommunication, Computer Networks, Image Processing, Computer Vision, and Machine Learning,Marwadi University, Gujarat, India (10/2018 – 07/2020),Bachelor in Mechatronics Engineering,Tishreen University, Latakia, Syria (09/2011 – 12/2017),Awarded best graduation project and a patent for the “Mini Factory” project in robotics

 Experience:

Research and Teaching Associate,Marwadi

University, Gujarat, India (07/2020 – 07/2024),Collaborated with senior researchers on coding assignments,Designed and developed AI models,Served as a reviewer for IEEE Access journal,Mentored 25 master’s and over 20 bachelor’s student projects in AI research,Published 15 research articles in Scopus and SCE journals,Contributed to curriculum review and enhancement,Lectured courses in AI, Databases, Cloud Computing, Robotics, Computer Vision, Machine Learning, and Time Series Data Analysis,Lecturer and Lab Assistant,Tishreen University, Latakia, Syria (10/2016 – 08/2018),Assisted in lesson preparation and curriculum development,Coordinated instructional efforts with classroom teachers,Developed assessments and updated curriculum for bachelor’s students

Research Focus:

  • AI and Machine Learning
  • Computer Vision
  • Data Analysis
  • Digital Marketing
  • Deep Learning Optimization
  • Brain Tumor Detection and Segmentation

Skills:

  • Effective documentation and scientific writing
  • Proficient in methodology selection
  • Programming: Python
  • AI frameworks: TensorFlow, PyTorch, Flask, Django
  • Deploying machine learning models to the cloud
  • Instructional delivery and curriculum development

Awards:

  • Best Graduation Project and a patent for the “Mini Factory” project in robotics from Tishreen University

Publications :

  • Nabhan Yousef, Chandrasinh Parmar, Dr. Amit Sata. Intelligent Inspection of Surface Defects in Metal Castings Using Machine Learning. International Journal of Materials Today: Proceedings, Volume 67(4), pp. 517-522, 2022.
  • Nabhan Yousef, Dr. Amit Sata. Innovative Inspection Device for Investment Casting Foundries. International Journal of Metal Casting, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Intelligent Inspection for Evaluating Severity of Surface Defects in Investment Casting. International Journal of Advanced Manufacturing Systems, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Intelligent Inspection Device for Investment Casting. Indian Foundry Journal, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Implementing Deep Learning-Based Intelligent Inspection for Investment Castings. Arabian Journal for Science and Engineering, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Parametric Study of Inspecting Surface Defects in Investment Casting. Jordan Journal of Mechanical and Industrial Engineering, 2023.
  • Yousef R, Gupta G, Vanipriya CH, Yousef N. A Comparative Study of Different Machine Learning Techniques for Brain Tumor Analysis. Materials Today: Proceedings, 2021.
  • Yousef, R., Gupta, G., Yousef, N. et al. A Holistic Overview of Deep Learning Approach in Medical Imaging. Multimedia Systems, 2022.
  • Yousef R, Khan S, Gupta G, Albahlal BM, Alajlan SA, Ali A. Bridged-U-Net-ASPP-EVO and Deep Learning Optimization for Brain Tumor Segmentation. Diagnostics (Basel), 2023.
  • Yousef R, Khan S, Gupta G, Siddiqui T, Albahlal BM, Alajlan SA, Haq MA. U-Net-Based Models Towards Optimal MR Brain Image Segmentation. Diagnostics, 2023.
  • Rammah Yousef, Pranaw Kumar, Nabhan Yousef. Enhanced Object Detection Using Generalized Hough Transform and RANSAC. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019.
  • Rammah Yousef, Ayush Agarwal, Pranaw Kumar, Nabhan Yousef. Object Removal Using a New Exemplar-Based Image Inpainting Algorithm and Seam Carving. International Journal of Recent Technology and Engineering (IJRTE), 2019.