Muhammad Arshad |Applied Mathematics|Best Researcher Award

Assist. Prof. Dr.Muhammad Arshad |Applied Mathematics|Best Researcher Award

Assistant Professor, University of Agriculture, Faisalabad,Pakistan

Dr. Muhammad Arshad is an accomplished academic and researcher serving as an Assistant Professor at the University of Agriculture, Faisalabad. His expertise spans [insert fields of expertise, e.g., agricultural sciences, biotechnology, environmental studies, etc.]. Dr. Arshad has contributed to numerous research projects, publications, and academic initiatives, reflecting his commitment to advancing knowledge and innovation in his field. He is passionate about teaching, mentoring students, and collaborating on interdisciplinary projects to address critical challenges in agriculture and related domains.

Summary:

Assist. Prof. Dr. Muhammad Arshad is a highly accomplished researcher with extensive contributions to applied mathematics and related fields. His impressive academic record, numerous awards, significant research output, and mentorship of students demonstrate his dedication and impact in the field. However, increasing interdisciplinary collaborations, enhancing public communication of research, and fostering stronger ties with industry could further amplify his influence.

 

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Applied Mathematics with a specialization in Control Science and Engineering was completed at Jiangsu University, China, in 2018. Prior to this, an M.Phil. and an M.Sc. in Applied Mathematics were earned from the University of Engineering and Technology, Lahore, Pakistan, in 2012 and 2009, respectively. The academic journey began with a B.Sc. in Mathematics (Mathematics A & B, Statistics) from the University of the Punjab, Lahore, in 2006, followed by pre-engineering studies (F.Sc.) at BISE Lahore in 2004 and Matriculation in Science at the same board in 2002.

 

🏢 Experience:

Currently serving as an Assistant Professor in the Department of Mathematics and Statistics at the University of Agriculture, Faisalabad, Pakistan, since February 2022. Previously, worked as an Assistant Professor at The University of Lahore from October 2021 to February 2022. Held the position of Postdoctoral Research Fellow at Jiangsu University, China, from August 2018 to September 2021. Academic experience includes roles as a Visiting Lecturer at the University of Education, Lahore, Okara Campus, from September 2013 to July 2015, and as a Lecturer at Govt. Shalimar College, Lahore, Pakistan, from March 2010 to March 2011.

🛠️Skills:

Proficient in various software tools, including MATLAB, Mathematica, Maple, LaTeX, and ANSYS Fluent. Skilled in programming for numerical simulations and algorithm development, with technical expertise in advanced numerical analysis, symbolic computation, and scientific visualization. Additionally, equipped with general IT skills, including MS Office and Windows OS.

 

Research Focus :

Research focuses on nonlinear dynamics, including stability analysis, bifurcation theory, and perturbation techniques. Expertise extends to partial differential equations with analytical and numerical solutions using symbolic computational methods. Soliton theory is another area of interest, specifically in novel soliton structures, rational solutions, and their interaction phenomena. Contributions to fractional calculus involve fractional differential equations and their applications, while scientific computing efforts are directed toward fluid dynamics simulations using ANSYS Fluent and finite volume methods.

 

🔬Awards:

Received the prestigious CSC Scholarship awarded by the Chinese Government from 2015 to 2018, along with the Outstanding International Student Scholarship at Jiangsu University in 2017. Honored with the 14th JSU Top 10 Youth Student Award in 2018 and the Excellent Doctoral Thesis Award from Jiangsu University the same year. Secured significant research funding through the China Research Innovation Program in 2017 and the China Postdoctoral Science Foundation Research Funding in 2019. Also serves as an editorial board member for the journal Modern Subsea Engineering and Technology.

Conclusion:

Dr. Muhammad Arshad is a strong candidate for the Best Researcher Award, given his substantial achievements and contributions to mathematics research. Recognizing his work would not only celebrate his accomplishments but also encourage continued excellence and broader engagement in his field

 Publications:

  • Exploring conversation laws and nonlinear dynamics of the unstable nonlinear Schrödinger equation: Stability and applications
    • Authors: Arshad, M., Umer, M.A., Xu, C., Almehizia, A.A., Yasin, F.
    • Journal: Ain Shams Engineering Journal
    • Year: 2025
    • Citations: 0

 

  • Exploring dynamics of multi-peak and breathers-type solitary wave solutions in generalized higher-order nonlinear Schrödinger equation and their optical applications
    • Authors: Yasin, F., Alshehri, M.H., Arshad, M., Shang, Y., Afzal, Z.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
    • Citations: 0

 

  • Electromagnetic effects on solitons propagation of the (3+1)-dimensional extended Zakharov-Kuznetsov dynamical model with applications
    • Authors: Shehzad, K., Wang, J., Arshad, M., Ghamkhar, M.
    • Journal: Physica Scripta
    • Year: 2024
    • Citations: 0

 

  • Optical fibers to model pulses of ultrashort via generalized third-order nonlinear Schrödinger equation by using extended and modified rational expansion method
    • Authors: Nasreen, N., Seadawy, A.R., Lu, D., Arshad, M.
    • Journal: Journal of Nonlinear Optical Physics and Materials
    • Year: 2024
    • Citations: 21

 

  • On the Application of Mann-Iterative Scheme with h-Convexity in the Generation of Fractals
    • Authors: Tassaddiq, A., Tanveer, M., Zubair, M., Arshad, M., Cattani, C.
    • Journal: Fractal and Fractional
    • Year: 2024
    • Citations: 1

 

  • W-shape and abundant of other solitary wave solutions of the positive Gardner Kadomtsov–Petviashivilli dynamical model with applications
    • Authors: Yasin, F., Arshad, M., Farid, G., Hoseinzadeh, M.A., Rezazadeh, H.
    • Journal: Optical and Quantum Electronics
    • Year: 2024
    • Citations: 2

 

  • Bright optical solution for fractional Lakshmanan–Porsezian–Daniel with spatio-temporal dispersion by improved Adomian decomposition method
    • Authors: Batool, S., Arshad, M., Perveen, N., Sarwar, S.
    • Journal: Optical and Quantum Electronics
    • Year: 2024
    • Citations: 3

 

  • Exploring fractional-order new coupled Korteweg-de Vries system via improved Adomian decomposition method
    • Authors: Arshad, M., Aldosary, S.F., Batool, S., Hussain, I., Hussain, N.
    • Journal: PLoS ONE
    • Year: 2024
    • Citations: 2

 

  • Physical constructions of kink, anti-kink optical solitons and other solitary wave solutions for the generalized nonlinear Schrödinger equation with cubic–quintic nonlinearity
    • Authors: Wang, J., Shehzad, K., Arshad, M., Seadawy, A.R.
    • Journal: Optical and Quantum Electronics
    • Year: 2024
    • Citations: 3

 

  • Exploration conversations laws, different rational solitons and vibrant type breather wave solutions of the modify unstable nonlinear Schrödinger equation with stability and its multidisciplinary applications
    • Authors: Umer, M.A., Arshad, M., Seadawy, A.R., Ahmed, I., Tanveer, M.
    • Journal: Optical and Quantum Electronics
    • Year: 2024
    • Citations: 12

 

 

sachin tejyan |composite| Best Faculty Award

Dr. sachin tejyan |composite| Best Faculty Award

Assistant Professor, G B Pant Institute of Engineering and Technology, Pauri, India

Dr. Sachin Tejyan is an Assistant Professor at G. B. Pant Institute of Engineering and Technology, Pauri, India. He specializes in engineering and technology education, contributing to academic research and the professional development of students. Dr. Tejyan is dedicated to fostering innovation and excellence in his field.

Summary:

Dr. Sachin Tejyan exemplifies an accomplished academic and researcher with a robust portfolio in advanced materials, mechanical engineering, and polymer composites. His contributions to research, teaching, and institutional development are commendable. The consistent output in high-impact journals and recognition for his work demonstrate excellence in his domain. However, there is room to amplify his interdisciplinary reach and international presence.

 

Professional Profiles:

Scopus

🎓 Education :

Dr. Sachin Tejyan holds a Ph.D. from the National Institute of Technology, Hamirpur, specializing in the “Thermo-Mechanical and Erosive Wear Behaviour of Needle-Punched Nonwoven Fiber Reinforced Polymer Composites.” He earned his M.Tech from the same institute in 2009, following a B.Tech in Mechanical Engineering from UPTU, Lucknow, in 2007.

 

🏢 Experience:

Dr. Tejyan is an Assistant Professor in the Mechanical Engineering Department at G. B. Pant Institute of Engineering and Technology, Pauri, Uttarakhand. His responsibilities include teaching, mentoring graduate and doctoral students, and overseeing projects in advanced material science. He has guided five M.Tech and two Ph.D. students and has also taken on various administrative roles, such as hostel warden and laboratory coordinator.

🛠️Skills:

Dr. Tejyan possesses expertise in advanced material research, particularly polymer composites and nonwoven reinforced materials. His skills extend to simulation, modeling, and experimental design, with a focus on manufacturing processes, material characterization, and tribology. He is adept in research methodologies, including Taguchi analysis, and in facilitating workshops and training programs on advanced mechanical engineering topics.

Research Focus :

Dr. Tejyan’s research revolves around manufacturing and production, composite materials, natural fiber-reinforced composites, and friction stir welding. His doctoral thesis explored the use of needle-punched nonwoven fabric mats in epoxy-based polymer composites, examining properties such as thermal conductivity, visco-elasticity, and solid particle erosion. His work integrates practical applications, particularly in slurry pipe systems and material durability under erosive conditions.

🔬Awards:

Dr. Tejyan received the Excellent Paper Award in 2010 from the Research Journal of Textile and Apparel for his work on solid particle erosion behavior of needle-punched nonwoven reinforced composites.

Conclusion:

Dr. Sachin Tejyan is a strong candidate for the Research for Best Faculty Award. His prolific research achievements, leadership roles, and dedication to academic and professional growth position him as a deserving nominee. Efforts to diversify his research themes and strengthen international engagement would further solidify his stature as an exemplary faculty member.

 Publications:

    • Investigations of Microstructure, Impact Toughness, and Fatigue Failure Behavior of Bulk UFG Al–Li 8090 Alloy Processed by Multi-Axial Forging
      • Authors: Panwar, A., Joshi, A., Tejyan, S.
      • Journal: Sadhana – Academy Proceedings in Engineering Sciences
      • Citations: 0

 

    • Fabrication and Sliding Wear Characterization of Eggshell Particulate Reinforced AA6061 Alloy Metal Matrix Composites
      • Authors: Lal, C., Tejyan, S., Singh, V.
      • Journal: Tribology in Industry
      • Citations: 1

 

    • Enabling Sustainable Freight Transport with Longer, Heavier Vehicles in India
      • Authors: Singh, V., Tejyan, S., Kumar, S., Singh, T.
      • Journal: Case Studies on Transport Policy
      • Citations: 0

 

    • Viscoelastic and Thermomechanical Behavior of Nonwoven Reinforced Polymer Composites (Book Chapter)
      • Authors: Tejyan, S., Singh, V., Gangil, B.
      • Book: Dynamic Mechanical and Creep-Recovery Behavior of Polymer-Based Composites: Mechanical and Mathematical Modeling
      • Citations: 0

 

    • Introduction to Thermosetting Polymer Composites: Applications, Advantages, and Drawbacks (Book Chapter)
      • Authors: Gangil, B., Kumar, S., Tejyan, S., Ranakoti, L., Verma, S.
      • Book: Dynamic Mechanical and Creep-Recovery Behavior of Polymer-Based Composites: Mechanical and Mathematical Modeling
      • Citations: 2
    • Effect of HVOF Coatings on Abrasive Wear Behaviour of Martensitic Stainless Steel
      • Authors: Tejyan, S., Rana, S., Patnaik, A.
      • Journal: International Journal of Materials Engineering Innovation
      • Citations: 0

 

    • Abrasive Wear Study of Marble Dust Reinforced Al7075 Alloy Surface Composites: Developed by Friction Stir Processing
      • Authors: Tejyan, S., Kumar, N., Gariya, R.C., Singh, A.K.
      • Journal: International Journal of Materials Engineering Innovation
      • Citations: 2

 

    • Mechanical Properties of SiC and Neem Leaf Powder Reinforced Al-6063 Hybrid Metal Matrix Composites
      • Authors: Tejyan, S., Ror, C.K., Kumar, N.
      • Journal: Materials Today: Proceedings
      • Citations: 6

Shamim Reza |Solar Cells| Young Scientist Award

Mr. Shamim Reza |Solar Cells| Young Scientist Award

Master’s Students.Advanced Energy Materials and Solar Cell Research Laboratory, BRUR, Bangladesh

Mr. Shamim Reza is a dedicated master’s student at the Advanced Energy Materials and Solar Cell Research Laboratory, Begum Rokeya University, Rangpur (BRUR), Bangladesh. His research focuses on advanced materials for energy applications, particularly solar cell technologies. He is passionate about contributing to renewable energy advancements through innovative material science research.

Summary:

Mr. Shamim Reza has a promising profile for the “Research for Young Scientist Award” due to his focus on advanced energy materials and solar cell research, which are vital for global sustainability goals. His mentorship of master’s students reflects his leadership and dedication to the growth of the scientific community. However, the strength of his candidacy depends on the specific details of his research outputs, such as high-impact publications, patents, or notable innovations in solar technology.

 

Professional Profiles:

Scopus

🎓 Education :

Bachelor of Science in Electrical & Electronic Engineering
Begum Rokeya University, Rangpur (BRUR)
CGPA: 3.47/4.00
February 2018 – October 2023

 

🏢 Experience:

Assistant Researcher,Advanced Energy Materials and Solar Cell Research Laboratory, BRUR
January 2023 – Present,Conducted extensive research on perovskite solar cells, focusing on improving power conversion efficiency through optimization of transport layers. Worked under the supervision of Dr. Md. Ferdous Rahman, contributing to the development of novel inorganic materials for energy applications.

🛠️Skills:

Proficient in software such as Microsoft Office, SCAPS 1D, MATLAB, Proteus 8 Professional, Origin 2018 & 2024, Cisco Packet Tracer, SPSS, R Studio, STATA, and Adobe Photoshop. Knowledgeable in programming and tools including HTML and engineering drawing. Familiar with microprocessor 8086 and advanced energy simulation techniques.

 

Research Focus :

Design and optimization of inorganic perovskite materials for high-efficiency solar cells. Simulation and experimental analysis of transport layers in solar cell architectures. Development of lead-free, sustainable materials for photovoltaic applications.

 

🔬Awards:

Participated in a Mikrotik Router Configuration Workshop. Attended workshops on Automation Switching System & Maintenance in Industrial Work and Transformer Repairing. Actively involved as a member of the EEE Club, BRUR.

Conclusion:

Suitability: Based on the information provided, Mr. Shamim Reza appears to be a strong candidate for the award, particularly if his research has yielded tangible, high-impact results.,Key Recommendation: Strengthen his application by highlighting specific achievements (e.g., publications, awards, societal impact) and emphasizing any international recognition or collaboration.,Potential Outcomes: With an improved emphasis on accomplishments and outreach, Mr. Reza could be a competitive contender for the award.

 Publications:

  • Boosting efficiency above 28% using effective charge transport layer with Sr3SbI3-based novel inorganic perovskite
    DOI: 10.1039/D3RA06137J
    Year: 2023

 

  • Improving efficiency of Sr3SbI3-based novel perovskite solar cell with optimization of Hole Transport Layer (HTL)
    DOI: 10.1021/acs.energyfuels.3c04099
    Year: 2023

 

  • Rubidium-based new lead-free high-performance perovskite solar cells with SnS2 as an electron transport layer
    DOI: 10.1016/j.mtcomm.2024.108714
    Year: 2024

 

  • Tuning the Hole Transport Layer in Ca3SbI3 Absorber-Based Solar Cells to Improve Power Conversion Efficiency
    DOI: 10.1016/j.jpcs.2024.112250
    Year: 2024

 

  • Boosting the Effectiveness of a Cutting-Edge Ca3NCl3 Perovskite Solar Cell by Fine-Tuning the Hole Transport Layer
    DOI: 10.1016/j.mseb.2024.117656
    Year: 2024

 

  • A Thorough Investigation of HTL Layers to Develop and Simulate AgCdF3-Based Perovskite Solar Cells
    DOI: 10.1016/j.mseb.2024.117744
    Year: 2024

 

  • Optimization of Sr3NCl3-Based Perovskite Solar Cell Performance through the Comparison of Different Electron and Hole Transport Layers
    DOI: 10.1016/j.jpcs.2024.112386
    Year: 2024

 

Hassan Moomivand |Rock Mechanics| Best Researcher Award

Prof. Hassan Moomivand |Rock Mechanics| Best Researcher Award

Professor of Rock Mechanics.Urmia University, Iran

Prof. Hassan Moomivand is a distinguished professor specializing in Rock Mechanics at Urmia University, Iran. With extensive academic and research experience, he has contributed significantly to the fields of geomechanics and engineering geology. Prof. Moomivand’s work encompasses innovative studies on the mechanical behavior of rocks, underground structures, and slope stability, earning him recognition in both national and international forums. He is actively involved in mentoring students, publishing scholarly articles, and advancing the application of rock mechanics in engineering practices.

Summary:

Prof. Hassan Moomivand is a highly accomplished scholar with over 30 years of experience in mining engineering. His pioneering research in rock mechanics, rock blasting, tunneling, and slope stability, coupled with his educational leadership in establishing key programs at Urmia University, marks him as a prominent figure in his field. His academic contributions, along with his published textbooks, have provided invaluable resources to students and researchers alike. Furthermore, his recognition as an “Excellent Reviewer” in 2023 highlights his commitment to advancing the scientific community.

Professional Profiles:

Scopus

🎓 Education :

Hassan Moomivand holds a Ph.D. in Mining Engineering with a focus on Rock Mechanics from the University of New South Wales (UNSW), Australia, completed in 1996. He also earned an M.Sc. in Mining Engineering (Rock Mechanics) from UNSW in 1992, and a B.Sc. in Mining Engineering from the University of Tehran, Iran, in 1987. He was awarded a prestigious scholarship by Iran’s Ministry of Culture and Higher Education for his academic excellence, ranking first in the national master’s entrance exam in Mining Engineering in 1987.

 

🏢 Experience:

Dr. Moomivand has had an extensive and distinguished academic and professional career. Since 2021, he has been serving as a Professor in the Mining Engineering Department at Urmia University, Iran. Prior to this, he worked as an Associate Professor (2013–2021) and Assistant Professor (1999–2013) in the same department, where he also headed the department from 1999 to 2007. Before joining Urmia University, he was an Assistant Professor in the Civil Engineering Department (1997–1999) and an Instructor at UNSW’s Rock Mechanics and Ventilation Laboratory (1994–1996). His early career included roles as a Mining Engineer in the Mine and Metal Office of Hamedan Province, Iran (1989–1990), and a Research Engineer at the Institute of Research and Mineral Applications of Iran (1987–1989).

🛠️Skills:

Dr. Moomivand is skilled in advanced techniques for rock mechanics, blasting, and underground engineering. His expertise includes:,Tunnel excavation using traditional and mechanized methods,Instrumentation and monitoring for underground projects,Analysis and design of rock slopes and mine support systems,Petrophysics and geomechanics

 

Research Focus :

Dr. Moomivand’s research spans several key areas in rock mechanics and mining engineering, including:,Rock Blasting and Fragmentation,Slope Stability and Optimal Slope Angle Design via Drilling and Blasting,Underground Spaces and Tunneling,Mine Pillar Strength Analysis

 

🔬Awards:

Dr. Moomivand has been recognized for his contributions to academia and research. In 2023, he was awarded the “Excellent Reviewer” title by the Journal of Rock Mechanics and Geotechnical Engineering (JRMGE), a prestigious Q1 journal. He has reviewed over 320 papers for 49 international journals. He also established two groundbreaking academic programs at Urmia University: a B.Sc. program in Mining Engineering (1999) and an M.Sc. program in Tunneling and Underground Spaces (2013), the latter being the first of its kind in Iran.

 

Conclusion:

Prof. Moomivand is a strong contender for the Research for Best Researcher Award. His career is marked by substantial academic achievements, groundbreaking research, and significant contributions to both education and industry. His work has made a lasting impact on the field of mining engineering and related areas. Addressing the areas for improvement—expanding international collaborations, engaging with the public, and pursuing interdisciplinary research—could further elevate his career and influence.

 Publications:

  • Title: Novel empirical models to assess rock fragment size by drilling and blasting
    Authors: Moomivand, H., Gheybi, M.
    Year: 2024
    Citations: 1

 

  • Title: Comparison of artificial intelligence and multivariate regression methods in predicting the uniaxial compressive strength of rock during the specific resistivity monitoring
    Authors: Taghavi, B., Hajizadeh, F., Moomivand, H.
    Year: 2023
    Citations: 0

 

  • Title: A new empirical approach to estimate the ratio of horizontal to vertical in-situ stress and evaluation of its effect on the stability analysis of underground spaces
    Authors: Moomivand, H., Moosazadeh, S., Gilani, S.-O.
    Year: 2022
    Citations: 9

 

  • Title: Development of a New Empirical Relation to Assess P-wave Velocity Anisotropy of Rocks
    Authors: Moomivand, H., Moomivand, H., Nikrouz, R., Azad, R.
    Year: 2022
    Citations: 3

 

  • Title: Development of new comprehensive relations to assess rock fragmentation by blasting for different open-pit mines using GEP algorithm and MLR procedure
    Authors: Moomivand, H., Khoshalan, H.A., Shakeri, J., Vandyousefi, H.
    Year: 2022
    Citations: 8

 

  • Title: A New Empirical Approach to Assess Wave Velocities and Dynamic Elastic Properties of Several Models of Jointed Rock Before and After Grouting
    Authors: Moomivand, H., Maarefvand, P., Moomivand, H.
    Year: 2021
    Citations: 5

 

  • Title: A new approach to improve the assessment of rock mass discontinuity spacing using image analysis technique
    Authors: Moomivand, H., Seadati, S., Allahverdizadeh, H.
    Year: 2021
    Citations: 15

 

  • Title: Stability analysis of complex behavior of salt cavern subjected to cyclic loading by laboratory measurement and numerical modeling using LOCAS (case study: Nasrabad gas storage salt cavern)
    Authors: Habibi, R., Moomivand, H., Ahmadi, M., Asgari, A.
    Year: 2021
    Citations: 19

 

  • Title: A New Approach to Represent Impact of Discontinuity Spacing and Rock Mass Description on the Median Fragment Size of Blasted Rocks Using Image Analysis of Rock Mass
    Authors: Azizi, A., Moomivand, H.
    Year: 2021
    Citations: 29

 

  • Title: Effect of discontinuity roughness and orientation on the parameters of the rock failure criterion under triaxial compressive stress
    Authors: Aminpure, F., Moomivand, H.
    Year: 2020
    Citations: 5

 

Keivan Narooei |Constitutive Modeling |Best Researcher Award

Assoc. Prof. Dr.Keivan Narooei |Constitutive Modeling Best Researcher Award

faculty,K. N. Toosi University of Technology,Iran

Assoc. Prof. Dr. Keivan Narooei is a faculty member at K. N. Toosi University of Technology, Iran. He specializes in Computer Aided Design In Mechanical Engineering and Robotics, with a strong academic background and professional expertise in intelligent control systems and AI applications. Dr. Narooei has contributed significantly to research and education, holds several patents in his field, and has played a key role in leading RoboCup teams. In addition to his academic endeavors, he has served as an AI consultant for various industries, blending theoretical knowledge with practical applications.

Summary:

Assoc. Prof. Dr. Keivan Narooei is an accomplished researcher in the field of mechanical engineering and material science, particularly in metal forming processes. His strengths lie in advanced theoretical research, innovative code development, and academic excellence. Dr. Narooei has received notable accolades throughout his academic career, which reflect his dedication and expertise. However, the CV lacks details about publications, international collaborations, and mentorship activities, which are crucial metrics for research awards of this nature.

 

Professional Profiles:

Scopus

🎓 Education :

Keivan Narooei holds a Ph.D. in Metal Forming from Sharif University of Technology (2012), where he completed 36 credit units. His doctoral thesis focused on “Prediction of microstructure and texture in severe plastic deformation by ALE FEM and large deformation crystal plasticity” under the supervision of Prof. Ali Karimi Taheri.He earned an M.S. in Metal Forming from Sharif University of Technology in 2004, completing 54 credit units. His master’s thesis, titled “Prediction of formability of multilayer sheets in the stretch forming process by nonlinear finite element,” was also supervised by Prof. Ali Karimi Taheri.Keivan’s academic journey began with a B.S. in Materials Science and Engineering from Isfahan University of Technology (2002), where he completed 140 credit units. His bachelor’s thesis, “Design and manufacturing of Drop Hammer Press Test Machine,” was supervised by Prof. Abass Najafizade.

 

🏢 Experience:

Dr. Narooei is a faculty member in the Mechanical Engineering Department at K. N. Toosi University of Technology. His teaching and research focus on advancing knowledge in materials processing and forming technologies, leveraging his extensive expertise in finite element modeling and metal deformation analysis.

🛠️Skills:

Advanced Finite Element Modeling (ALE FEM),Crystal Plasticity and Microstructure Prediction,Nonlinear Constitutive Modeling,Design and Manufacturing of Test Machinery,Computational Analysis of Multilayer Sheet Forming Processes Advanced Finite Element Modeling (ALE FEM)

Research Focus :

Dr. Narooei specializes in metal forming, with an emphasis on nonlinear finite element modeling, severe plastic deformation, microstructure prediction, and advanced constitutive models. His research combines analytical and computational methods to enhance the understanding and prediction of material behavior under complex forming processes.

 

🔬Awards:

Dr. Narooei has earned several prestigious accolades throughout his academic career:,Third Rank in the nationwide entrance exams for excellent education at the graduate level in Iran, competing against over 3,000 candidates (2002).,First Rank among graduate students during his M.S. studies (2002-2004).,First Rank in the Ph.D. entrance exam at Sharif University of Technology (2004).,Developed the First FE Code for forming using nonlinear FEM and advanced constitutive models (2007).,Received the Professional Presentation Award for a conference paper at Matform’90.

 

Conclusion:

Dr. Narooei is a strong contender for the Research for Best Researcher Award, particularly if his publication record and contributions to international research are robust. To maximize competitiveness:,Include detailed information about high-impact publications, patents, and citations.,Highlight involvement in global collaborations and industrial applications.,Showcase mentorship achievements and leadership roles within academia.

 Publications:

  • 4D printing of shape memory polylactic acid beams: An experimental investigation into FDM additive manufacturing process parameters, mathematical modeling, and optimization”
    • Authors: Hosseinzadeh, M., Ghoreishi, M., Narooei, K.
    • Journal: Journal of Manufacturing Processes
    • Year: 2023
    • Citations: Not specified

 

  • “Investigation of multiplicative decompositions in the form of FeFv and FvFe to extend viscoelasticity laws from small to finite deformations”
    • Authors: Bahreman, M., Darijani, H., Narooei, K.
    • Journal: Mechanics of Materials
    • Year: 2022
    • Citations: 7

 

  • “An investigation into the effect of thermal variables on the 3D printed shape memory polymer structures with different geometries”
    • Authors: Hosseinzadeh, M., Ghoreishi, M., Narooei, K.
    • Journal: Journal of Intelligent Material Systems and Structures
    • Year: 2022
    • Citations: 12

 

  • “A hyperelastic-damage model to study the anisotropic mechanical behavior of coral-hydrogel bio-composite”
    • Authors: Eghbali, R., Narooei, K.
    • Journal: Journal of the Mechanical Behavior of Biomedical Materials
    • Year: 2022
    • Citations: 4

 

  • “Simulation of piezoresistance and deformation behavior of a flexible 3D printed sensor considering the nonlinear mechanical behavior of materials”
    • Authors: Kouchakzadeh, S., Narooei, K.
    • Journal: Sensors and Actuators A: Physical
    • Year: 2021
    • Citations: 14

 

  • “Strain rate-dependent mechanical metamaterials”
    • Authors: Janbaz, S., Narooei, K., Van Manen, T., Zadpoor, A.A.
    • Journal: Science Advances
    • Year: 2020
    • Citations: 77

 

  • “Coupling of Bezier-type streamline and ETMB model to predict dislocation cell size in ECAE”
    • Authors: Narooei, A., Roudini, G., Narooei, K.
    • Journal: Engineering Research Express
    • Year: 2020
    • Citations: 2

 

  • “Prediction of safe zone for osteonecrosis in the cutting process of bovine cortical femur bone using Arbitrary Lagrangian-Eulerian method and multi-objective optimization”
    • Authors: Saghafi, B., Ghoreishi, M., Narooei, K.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2019
    • Citations: 2

 

  • “A new hyper-viscoelastic model for investigating rate dependent mechanical behavior of dual cross link self-healing hydrogel”
    • Authors: Ghorbanoghli, A., Narooei, K.
    • Journal: International Journal of Mechanical Sciences
    • Year: 2019
    • Citations: 31

 

  • “Generalization of exponential based hyperelastic to hyper-viscoelastic model for investigation of mechanical behavior of rate dependent materials”
    • Authors: Narooei, K., Arman, M.
    • Journal: Journal of the Mechanical Behavior of Biomedical Materials
    • Year: 2018
    • Citations: 23

 

Rashad Abdel-Baky |Topology| Best Researcher Award

Prof Dr. Rashad Abdel-Baky |Topology| Best Researcher Award

Prof. Sciences Faculty for Girls, University of Jeddah,Egypt

Prof. Dr. Rashad Abdel-Baky is a distinguished academic at the Faculty of Sciences for Girls, University of Jeddah, Egypt. He has extensive experience in the field of science and education, with a focus on research and teaching. His contributions to academic development, particularly in the sciences, have been impactful at both the national and international levels. Prof. Dr. Abdel-Baky has been involved in various educational initiatives and has played a key role in fostering the growth of his academic department.

Summary:

Dr. Jennifer Lippincott-Schwartz’s pioneering work in cellular imaging technologies exemplifies the kind of research excellence celebrated by the Research for Research and Development Excellence Award in CAD. Her leadership and scientific impact are immense, with significant contributions to both the understanding of cell biology and the development of innovative imaging tools. The combination of technical skill, visionary leadership, and high-impact research makes her a strong candidate for this award.

 

Professional Profiles:

Scopus

🎓 Education :

Jennifer Lippincott-Schwartz holds a Ph.D. in Biochemistry from The Johns Hopkins University, Baltimore, Maryland (1986). She earned a Master’s degree in Biology from Stanford University, Palo Alto, California (1979), and a Bachelor of Arts with Honors in Psychology and Philosophy from Swarthmore College, Swarthmore, Pennsylvania (1974).

 

🏢 Experience:

Lippincott-Schwartz has a distinguished career at the Howard Hughes Medical Institute’s Janelia Research Campus, where she has served as Senior Group Leader and Head of the 4D Cellular Physiology Research Area since 2016. Previously, she was a Distinguished NIH Investigator and Chief of the Section on Organelle Biology at the National Institutes of Health from 2000 to 2016. She started her tenure at NIH in 1990 as a Postdoctoral Fellow, later becoming a Tenured Investigator.

🛠️Skills:

Lippincott-Schwartz is renowned for her expertise in advanced imaging technologies such as photoactivation, FRAP, single-particle tracking, PALM, FIB-SEM, lattice light sheet microscopy, and TIRF-SIM. She has made significant contributions to the study of subcellular dynamics and organelle behavior, particularly in the context of cell function and disease.

 

Research Focus :

Lippincott-Schwartz’s major research interests involve the development and use of advanced imaging technologies to study complex cell behaviors and the organization of subcellular organelles. Her research focuses on dynamic processes such as cell crawling, polarity, cytokinesis, viral budding, and intercellular transfer. Additionally, she investigates the organization and behavior of organelles, including the ER, mitochondria, Golgi apparatus, endosomes, lysosomes, lipid droplets, actomyosin filaments, microtubules, autophagosomes, peroxisomes, and cilia, under both healthy and pathological conditions.

 

🔬Awards:

Throughout her career, Lippincott-Schwartz has received numerous prestigious awards, including the Dickson Prize (2024), the E.B. Wilson Medal (2020), and the Honorary Doctorate from the University of Southern Denmark (2020). She has been elected to the American Academy of Arts and Sciences (2019) and the National Academy of Sciences (2008). Her work in fluorescent protein imaging, including the creation of photoactivable GFP, earned her recognition as an AAAS Fellow in 2008. Other notable accolades include the Newcomb Cleveland Prize, the Van Deenen Medal, and the Feodor Lynen Medal.

 

Conclusion:

Dr. Lippincott-Schwartz’s work in advancing imaging technology is highly relevant to the field of CAD, particularly when considering the ways in which innovation in visualization and design can be applied to biological systems. The next step in her career could involve a more explicit intersection with computational design tools, enhancing the scale and scope of her groundbreaking research in cell biology.

 Publications:

  • Permanent deconstruction of intracellular primary cilia in differentiating granule cell neurons
    • Authors: Ott, C.M., Constable, S., Nguyen, T.M., Lippincott-Schwartz, J., Mukhopadhyay, S.
    • Journal: Journal of Cell Biology
    • Year: 2024
    • Citations: 0

 

  • YAP condensates are highly organized hubs
    • Authors: Hao, S., Lee, Y.J., Benhamou Goldfajn, N., Sukenik, S., Cai, D.
    • Journal: iScience
    • Year: 2024
    • Citations: 3
  • The physical and cellular mechanism of structural color change in zebrafish
    • Authors: Gur, D., Moore, A.S., Deis, R., Hammer, J.A., Lippincott-Schwartz, J.
    • Journal: Proceedings of the National Academy of Sciences of the United States of America
    • Year: 2024
    • Citations: 1

 

  • Ultrastructural differences impact cilia shape and external exposure across cell classes in the visual cortex
    • Authors: Ott, C.M., Torres, R., Kuan, T.-S., da Costa, N.M., Lippincott-Schwartz, J.
    • Journal: Current Biology
    • Year: 2024
    • Volume: 34(11)
    • Pages: 2418–2433.e4
    • Citations: 3

 

  • COPII with ALG2 and ESCRTs control lysosome-dependent microautophagy of ER exit sites
    • Authors: Liao, Y.-C., Pang, S., Li, W.-P., Xu, C.S., Lippincott-Schwartz, J.
    • Journal: Developmental Cell
    • Year: 2024
    • Volume: 59(11)
    • Pages: 1410–1424.e4
    • Citations: 2

 

  • Correction to: Targeting LIPA independent of its lipase activity is a therapeutic strategy in solid tumors via induction of endoplasmic reticulum stress
    • Authors: Liu, X., Viswanadhapalli, S., Kumar, S., Ahn, J.-M., Raj, G.V.
    • Journal: Nature Cancer
    • Year: 2024
    • Citations: 0

 

  • Fluorescence complementation-based FRET imaging reveals centromere assembly dynamics
    • Authors: Dou, Z., Liu, R., Gui, P., Yao, X., Liu, X.
    • Journal: Molecular Biology of the Cell
    • Year: 2024
    • Article ID: ar51
    • Citations: 2

 

  • Host ZCCHC3 blocks HIV-1 infection and production through a dual mechanism
    • Authors: Yi, B., Tanaka, Y.L., Cornish, D., Saito, A., Yoshimura, S.H.
    • Year: 2024
    • Article ID: 109107
    • Citations: 1

 

  • CSPP1 stabilizes microtubules by capping both plus and minus ends
    • Authors: Wang, Z., Wang, W., Liu, S., Liu, X., Yao, X.
    • Journal: Journal of Molecular Cell Biology
    • Year: 2024
    • Volume: 16(2)
    • Citations: 1

 

  • Motion of VAPB molecules reveals ER–mitochondria contact site subdomains
    • Authors: Obara, C.J., Nixon-Abell, J., Moore, A.S., Blackstone, C., Lippincott-Schwartz, J.
    • Journal: Nature
    • Year: 2024
    • Citations: 12

 

Arthur Van Lerberghe |Blast|Best Researcher Award

Mr. Arthur Van Lerberghe |Blast|Best Researcher Award

PhD Student,University of Sheffield,United Kingdom

Arthur Van Lerberghe is a PhD researcher at the University of Sheffield, United Kingdom, specializing in blast and impact dynamics within the Department of Civil and Structural Engineering. His research focuses on blast attenuation in cohesive soils, employing advanced constitutive and parametric modeling techniques. Funded by the Engineering and Physical Sciences Research Council (EPSRC), his studies are part of a project running from 2020 to 2024. His work contributes to understanding soil mechanics and hybrid twin modeling for structural applications【6】.

Summary:

Arthur Van Lerberghe is an exceptionally talented and dedicated researcher whose work in machine learning and blast dynamics has made valuable contributions to both academia and industry. His ability to integrate complex theoretical models with practical, real-world testing demonstrates his strong research acumen. His extensive experience in global collaborations, leadership roles in teaching, and commitment to community service through various outreach activities further enhance his profile.

 

Professional Profiles:

Google Scholar

🎓 Education :

PhD in Machine Learning & Civil Engineering, Blast & Impact Dynamics Group,University of Sheffield, Sheffield, UK (09/2020 – 09/2024)
Arthur conducted Dstl-funded experiments to investigate high-strain-rate behavior in cohesive soils, developing constitutive numerical models using LS-DYNA, hybrid twin models, and data-driven parametric tools. He collaborated with institutions like ENSAM, France, and NUS, Singapore, on predictive machine learning models and presented his findings at international conferences in Norway, the USA, and Singapore. In addition to publishing five papers in prestigious journals such as Experimental Mechanics and Impact Engineering, he contributed to teaching undergraduate engineering labs and programming courses.,MEng in Civil & Structural Engineering with a Year in Industry,University of Sheffield, Sheffield, UK (09/2015 – 06/2020)

 

🏢 Experience:

PhD Researcher
Defence Science & Technology Laboratory (Dstl), Sheffield, UK (09/2020 – 09/2024)
Arthur led several research projects aligned with Dstl’s objectives, designing a novel high-strain-rate test rig and implementing an advanced data capture system. His work enhanced experimental precision and generated actionable insights that informed practical applications. He developed open-source Python algorithms to streamline data analysis and modeled high-strain-rate experiments using LS-DYNA, validating computational results against experimental data.,Brand Ambassador,Global Vision International (GVI), Nepal, Fiji, and UK (08/2015 – Present),Arthur partnered with Nepali communities to restore earthquake-damaged schools, designed sanitation facilities, and contributed to post-disaster reconstruction efforts in Fiji after Cyclone Winston. He also helped establish waste management systems for remote Fijian villages. As a university ambassador, he organized recruitment events and spearheaded outreach initiatives.,Industrial Placement,Network Rail, York, UK (09/2018 – 09/2019),As part of a 10-member team, Arthur contributed to 14 structural projects, including listed building assessments, multi-disciplinary designs, and the Birmingham Snow Hill station masterplan. He collaborated with architects to design a concourse and three 16-storey buildings, employing tools like Ansys and adhering to Eurocode standards through rigorous calculations.,Civil & Structural Engineering Intern,PERI, Hong Kong (06/2018 – 08/2018),Arthur developed innovative AutoCAD designs and spreadsheet tools to enhance team efficiency in formwork and scaffolding projects. He also monitored progress on large-scale projects like the Hong Kong-Macau Zhuhai Bridge and conducted site visits for critical infrastructure projects.,Summer Intern,Nanyang Technological University (NTU), Singapore (06/2016 – 07/2016)
Arthur attended international business classes focused on finance, strategy, and product development. He led a nine-member team to design a comprehensive business plan for launching a new product in Singapore.

🛠️Skills:

Arthur possesses strong expertise in Python programming, machine learning, experimental testing, parametric modeling, and data analysis. He has a proven ability in problem-solving, leadership, and effective communication, complemented by advanced research, analytical, and organizational skills.

 

Research Focus :

Arthur specializes in integrating machine learning with civil engineering, particularly in blast and impact dynamics. His work bridges experimental and computational methods, developing predictive models and hybrid twins to address high-strain-rate phenomena and their real-world applications.

 

🔬Awards:

Arthur has published five articles in prestigious journals and presented at international conferences in Norway, the USA, and Singapore. His high-strain-rate test rig design has significantly advanced experimental methodologies.

 

Conclusion:

Arthur Van Lerberghe is a suitable candidate for the Best Researcher Award, given his innovative research contributions, practical applications, and global engagement. While already impressive, further emphasis on research impact metrics and broader recognition in machine learning could elevate his standing.

 Publications:

  1. High Strain Rate Behaviour of Cohesive Soils
    Citation: International Journal of Impact Engineering, 105189
    Year: 2024
    Authors: A. Van Lerberghe, K. S. O. Li, A. D. Barr, S. D. Clarke

 

  1. A Method for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
    Citation: 2023
    Year: 2023
    Authors: A. Van Lerberghe, A. D. Barr, S. D. Clarke, S. L. Kerr

 

  1. Welcome to Trondheim
    Citation: ICILSM 2022, 5
    Year: 2022
    Authors: M. Langseth, T. Børvik, O. S. Hopperstad, A. H. Clausen, D. Morin, V. Aune

 

Hamed Shahbazi |Robotics| Best Researcher Award

Mr. Hamed Shahbazi |Robotics| Best Researcher Award

Assistant Professor,University of Isfahan, Iran

Dr. Hamed Shahbazi is an Assistant Professor at the University of Isfahan, Iran, where he is involved in the Department of Computer Engineering. His academic focus includes topics in artificial intelligence, robotics, and decision-making systems. He has published several research papers on these subjects and has contributed to advancements in fields such as fuzzy logic, neural networks, and fire safety management in disaster environments

Summary:

Hamed Shahbazi demonstrates exceptional academic, research, and professional accomplishments in AI and robotics. His innovative contributions, leadership in competitions, and industry consultancy showcase his multifaceted expertise. He is a well-rounded candidate with a proven ability to bridge theoretical and applied AI.

 

Professional Profiles:

Scopus

🎓 Education :

PhD in Computer Aided Design In Mechanical Engineering & Robotics (2013), University of Isfahan, Iran,Minor in Intelligent Control,Dissertation: Curvilinear Biped Locomotion in Humanoid Robots using Central Pattern Generators
Ranked 1st among 5 student,M.Sc. in Computer Aided Design In Mechanical Engineering (2009), University of Isfahan, Iran,Minor in Intelligent Networks,Dissertation: Intelligent power-aware routing in wireless sensor networks using Swarm Intelligence and Neural Network methods,Ranked 1st among 10 student,B.S. in Computer Science & Engineering (2007), University of Isfahan, Iran,Minor in Hardware Engineering,Dissertation: Decision making Structures in Robotic Rescue Agents,Ranked 1st among 50 students

 

🏢 Experience:

AI Developer, Robotics and AI Research Center, University of Isfahan (2010–Present),Head of the Robotic Association at University of Isfahan,Leader of the BraveCircles RoboCup Rescue Simulation Team (2010)
Member of various RoboCup teams from 2004–200,Assistant Professor, Mechatronic Engineering Department, University of Isfahan (2009–2010),Faculty member and head of office for commercialization of research,Head of Scientific Associations of Students,AI Designer & Developer, Unitech (2019–Present),Co-founder of Mobin Fanavaran Jey (Unitech),Head of the software department,AI Consultant, Various Industries (2012–Present),Consultant for Isfahan Oil Refining Company, Isfahan Mobarakeh Steel Company, and Snowa Home Appliances,Lecturer, AI and Computer Science (2006–2015),Lectured at Sheykhbahaee University and Islamic Azad University of Majlesi

🛠️Skills:

Expertise in Prolog, C++, Matlab, Java, Python, and machine learning,Familiar with XML, JSON, SOAP, REST protocols and APIs,Proficient with MySQL, Microsoft SQL databases, and tools like SimScape, Webots, Weka

 

🔬Awards:

Several first and second-place awards in RoboCup Rescue Simulation Leagues (2005–2011),Silver and Bronze Medals in the Iranian National Student Olympiad in Computer Engineering (2006, 2007),Best Student Awards at University of Isfahan in various disciplines (2006–2008)

 

Conclusion:

Mr. Hamed Shahbazi is highly suitable for the Best Researcher Award. His blend of academic excellence, leadership, and industry relevance makes him a compelling nominee. Strengthening his global publication profile and engaging in international collaborations could elevate his candidacy even further.

 Publications:

  • Locating delamination in a composite laminate using machine learning and recurrent deep neural networks based on vibration response
    Authors: Jahanshahi, M., Shahbazi, H., Heidari-Rarani, M.
    Journal: Structures, 2024, Vol. 70, Article 107823.
    Citations: 0

 

  • Layered learning in a quadrotor drone: Simultaneous controlling and path planning using optimal fuzzy fractional-order PID and proximal policy optimization
    Authors: Shahbazi, H., Tikani, V., Fatahi, R.
    Journal: Engineering Applications of Computer Aided Design In Mechanical Engineering, 2024, Vol. 136, Article 108926.
    Citations: 0

 

  • Design and programming of a robotic puppetry robot based on natural learner unit pattern generators neural networks
    Authors: Shahbazi, H., Khodabandeh, B., Amirkhani, M., Monadjemi, A.H.
    Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024, Vol. 46(9), Article 561.
    Citations: 0

 

  • Designing a reinforcement learning-based robust controller resisting external forces for an octarotor with new structure
    Authors: Sharifi, D., Torabi, K., Rahaghi, M.I., Shahbazi, H.
    Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol. 45(3), Article 141.
    Citations: 0

 

  • Efficient deep steering control method for self-driving cars through feature density metric
    Authors: Mohammadi, A., Jamshidi, K., Shahbazi, H., Rezaei, M.
    Journal: Neurocomputing, 2023, Vol. 515, pp. 107–120.
    Citations: 4

 

  • Moderating Effects of Demographics on Green Information System Adoption
    Authors: Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M.
    Journal: International Journal of Innovation and Technology Management, 2019, Vol. 16(1), Article 1950008.
    Citations: 10

 

  • The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: An extension of the technology acceptance model
    Authors: Leong, L.W., Ibrahim, O., Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M.
    Journal: Education and Information Technologies, 2018, Vol. 23(6), pp. 2477–2498.
    Citations: 48

 

  • Factors influencing beliefs formation towards the adoption of social commerce in SME travel agencies
    Authors: Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M., Mardani, A., Streimikiene, D.
    Journal: Economics and Sociology, 2018, Vol. 11(3), pp. 207–225.
    Citations: 8

 

  • Demonstration learning of robotic skills using repeated suggestions learning algorithm
    Authors: Shahbazi, H., Arshi, M.A., Jamshidi, K., Khodabandeh, B.
    Journal: Biologically Inspired Cognitive Architectures, 2017, Vol. 20, pp. 21–30.
    Citations: 3

 

  • Mechatronic design and construction of a five axes satellite simulator
    Authors: Rasouli, K., Shahbazi, H., Ariaei, A., Malekzadeh, M.
    Conference: 4th RSI International Conference on Robotics and Mechatronics (ICRoM), 2016, pp. 210–215.
    Citations: 1

 

Jennifer Lippincott-Schwartz |simulation | Research and Development Excellence Award in CAD

Dr. Jennifer Lippincott-Schwartz |simulation | Research and Development Excellence Award in CAD

Ph.D,Howard Hughes Medical Institute Janelia Farm Research Campus,United States

Dr. Jennifer Lippincott-Schwartz is a prominent scientist and researcher at the Howard Hughes Medical Institute’s Janelia Farm Research Campus in the United States. With a Ph.D. in cell biology, her work focuses on the dynamics of cellular processes, particularly how molecules within cells move and interact. She is widely recognized for her pioneering research in fluorescence microscopy, which has contributed significantly to the field of cell biology by enabling more detailed and dynamic imaging of cellular structures. Her innovations have advanced understanding of the molecular mechanisms underlying cellular function and disease.

Summary:

Dr. Jennifer Lippincott-Schwartz’s pioneering work in cellular imaging technologies exemplifies the kind of research excellence celebrated by the Research for Research and Development Excellence Award in CAD. Her leadership and scientific impact are immense, with significant contributions to both the understanding of cell biology and the development of innovative imaging tools. The combination of technical skill, visionary leadership, and high-impact research makes her a strong candidate for this award.

 

Professional Profiles:

Scopus

🎓 Education :

Jennifer Lippincott-Schwartz holds a Ph.D. in Biochemistry from The Johns Hopkins University, Baltimore, Maryland (1986). She earned a Master’s degree in Biology from Stanford University, Palo Alto, California (1979), and a Bachelor of Arts with Honors in Psychology and Philosophy from Swarthmore College, Swarthmore, Pennsylvania (1974).

 

🏢 Experience:

Lippincott-Schwartz has a distinguished career at the Howard Hughes Medical Institute’s Janelia Research Campus, where she has served as Senior Group Leader and Head of the 4D Cellular Physiology Research Area since 2016. Previously, she was a Distinguished NIH Investigator and Chief of the Section on Organelle Biology at the National Institutes of Health from 2000 to 2016. She started her tenure at NIH in 1990 as a Postdoctoral Fellow, later becoming a Tenured Investigator.

🛠️Skills:

Lippincott-Schwartz is renowned for her expertise in advanced imaging technologies such as photoactivation, FRAP, single-particle tracking, PALM, FIB-SEM, lattice light sheet microscopy, and TIRF-SIM. She has made significant contributions to the study of subcellular dynamics and organelle behavior, particularly in the context of cell function and disease.

 

Research Focus :

Lippincott-Schwartz’s major research interests involve the development and use of advanced imaging technologies to study complex cell behaviors and the organization of subcellular organelles. Her research focuses on dynamic processes such as cell crawling, polarity, cytokinesis, viral budding, and intercellular transfer. Additionally, she investigates the organization and behavior of organelles, including the ER, mitochondria, Golgi apparatus, endosomes, lysosomes, lipid droplets, actomyosin filaments, microtubules, autophagosomes, peroxisomes, and cilia, under both healthy and pathological conditions.

 

🔬Awards:

Throughout her career, Lippincott-Schwartz has received numerous prestigious awards, including the Dickson Prize (2024), the E.B. Wilson Medal (2020), and the Honorary Doctorate from the University of Southern Denmark (2020). She has been elected to the American Academy of Arts and Sciences (2019) and the National Academy of Sciences (2008). Her work in fluorescent protein imaging, including the creation of photoactivable GFP, earned her recognition as an AAAS Fellow in 2008. Other notable accolades include the Newcomb Cleveland Prize, the Van Deenen Medal, and the Feodor Lynen Medal.

 

Conclusion:

Dr. Lippincott-Schwartz’s work in advancing imaging technology is highly relevant to the field of CAD, particularly when considering the ways in which innovation in visualization and design can be applied to biological systems. The next step in her career could involve a more explicit intersection with computational design tools, enhancing the scale and scope of her groundbreaking research in cell biology.

 Publications:

  • Permanent deconstruction of intracellular primary cilia in differentiating granule cell neurons
    • Authors: Ott, C.M., Constable, S., Nguyen, T.M., Lippincott-Schwartz, J., Mukhopadhyay, S.
    • Journal: Journal of Cell Biology
    • Year: 2024
    • Citations: 0

 

  • YAP condensates are highly organized hubs
    • Authors: Hao, S., Lee, Y.J., Benhamou Goldfajn, N., Sukenik, S., Cai, D.
    • Journal: iScience
    • Year: 2024
    • Citations: 3
  • The physical and cellular mechanism of structural color change in zebrafish
    • Authors: Gur, D., Moore, A.S., Deis, R., Hammer, J.A., Lippincott-Schwartz, J.
    • Journal: Proceedings of the National Academy of Sciences of the United States of America
    • Year: 2024
    • Citations: 1

 

  • Ultrastructural differences impact cilia shape and external exposure across cell classes in the visual cortex
    • Authors: Ott, C.M., Torres, R., Kuan, T.-S., da Costa, N.M., Lippincott-Schwartz, J.
    • Journal: Current Biology
    • Year: 2024
    • Volume: 34(11)
    • Pages: 2418–2433.e4
    • Citations: 3

 

  • COPII with ALG2 and ESCRTs control lysosome-dependent microautophagy of ER exit sites
    • Authors: Liao, Y.-C., Pang, S., Li, W.-P., Xu, C.S., Lippincott-Schwartz, J.
    • Journal: Developmental Cell
    • Year: 2024
    • Volume: 59(11)
    • Pages: 1410–1424.e4
    • Citations: 2

 

  • Correction to: Targeting LIPA independent of its lipase activity is a therapeutic strategy in solid tumors via induction of endoplasmic reticulum stress
    • Authors: Liu, X., Viswanadhapalli, S., Kumar, S., Ahn, J.-M., Raj, G.V.
    • Journal: Nature Cancer
    • Year: 2024
    • Citations: 0

 

  • Fluorescence complementation-based FRET imaging reveals centromere assembly dynamics
    • Authors: Dou, Z., Liu, R., Gui, P., Yao, X., Liu, X.
    • Journal: Molecular Biology of the Cell
    • Year: 2024
    • Article ID: ar51
    • Citations: 2

 

  • Host ZCCHC3 blocks HIV-1 infection and production through a dual mechanism
    • Authors: Yi, B., Tanaka, Y.L., Cornish, D., Saito, A., Yoshimura, S.H.
    • Year: 2024
    • Article ID: 109107
    • Citations: 1

 

  • CSPP1 stabilizes microtubules by capping both plus and minus ends
    • Authors: Wang, Z., Wang, W., Liu, S., Liu, X., Yao, X.
    • Journal: Journal of Molecular Cell Biology
    • Year: 2024
    • Volume: 16(2)
    • Citations: 1

 

  • Motion of VAPB molecules reveals ER–mitochondria contact site subdomains
    • Authors: Obara, C.J., Nixon-Abell, J., Moore, A.S., Blackstone, C., Lippincott-Schwartz, J.
    • Journal: Nature
    • Year: 2024
    • Citations: 12

 

József Poór |Human Resource|Best Researcher Award

Prof Dr. József Poór |Human Resource|Best Researcher Award

Professor, Hungarian University of Agriculture and Life Sciences,Hungary.

Prof. Dr. József Poór is a distinguished professor at the Hungarian University of Agriculture and Life Sciences in Hungary. With extensive experience in academia and research, he has contributed significantly to the fields of management and organizational development. His expertise spans human resource management, leadership, and project management. Dr. Poór has also been involved in supervising doctoral students, delivering specialized training, and providing consultancy services in various aspects of management. He is recognized for his research and practical insights that bridge academic knowledge with real-world applications.

Summary:

Prof. Dr. József Poór is a highly accomplished and internationally recognized academic with a strong track record in teaching, research, and program development. His leadership in both Hungarian and international academic communities has contributed to significant advancements in management education. His global collaborations and recognition from international peers further underscore his qualifications for this award.

 

Professional Profiles:

Orcid

🎓 Education :

Dr. József Poór earned his Doctor of Science (DSc) and Ph.D. from the Hungarian Academy of Sciences. He holds an M.S. degree in Management from Corvinus University of Economics (formerly Karl Marx University) in Budapest, Hungary. Dr. Poór also completed a B.S. degree in Industrial Economics at the same university. Additionally, he was a research fellow at the University of Cologne, Germany, under the DAAD (German Academic Exchange Service) for 12 months and a FNSR Fellow (Swiss National Science Foundation) at the University of Zurich, Switzerland, for 6 months.

 

🏢 Experience:

Dr. Poór has had a distinguished academic career, currently serving as Professor Emeritus and Head of the Labor Market Research Center at the AGI-Institute of the Hungarian University of Agriculture and Life Sciences since 2022. Between 2022 and 2024, he taught courses such as International Integration and Globalization, and Management Consulting Methods. He was a Professor of Management at Szent István University in Gödöllő, Hungary, from 2011 to 2019, where he taught Strategic Human Resource Management (SHRM), International Human Resource Management (IHRM), Managing Professional Organizations, and Human Resource Management.,Additionally, Dr. Poór served as a full-time Professor at J. Selye University in Komárno, Slovakia, from 2007 to February 2024, where he taught International Management, IHRM, Controlling, and Quality Management at both Master’s and Ph.D. levels. His teaching experience also includes visiting professorships at universities in Romania, Poland, and Hungary, where he taught courses in SHRM and International Management.

🛠️Skills:

Dr. Poór possesses advanced skills in management consulting, international business strategy, and HRM. His ability to teach and conduct research at the intersection of theory and practical application has made him an esteemed educator. He is well-versed in global management practices, particularly in emerging countries, and has extensive experience in developing academic programs that align with international business standards.

 

Research Focus :

Dr. Poór’s research focuses on International Management, Strategic Human Resource Management (SHRM), International Human Resource Management (IHRM), and the development of professional organizations. His work is renowned for exploring the intersection of global business strategies and HR practices, particularly in emerging markets. He has contributed significantly to the understanding of managing multinational organizations and cross-cultural management.

 

🔬Awards:

Dr. Poór’s extensive career has been marked by significant recognition, including being appointed an honorary professor at the University of Pécs in March 2011 in honor of his long and devoted service. He has earned widespread respect and recognition in the field of International Management and HRM, with numerous invitations to present his research at leading international conferences and universities.

Conclusion:

Prof. Dr. József Poór is undoubtedly a deserving candidate for the Best Researcher Award. His lifetime contributions to education, research, and international collaboration, coupled with his long-standing dedication to advancing the field of management and human resource management, make him an outstanding figure in the academic world. While there are areas for improvement in terms of the visibility and relevance of his research in emerging fields, his overall impact on the academic community is exceptional.

 Publications:

  • Leadership Styles, High-Involvement Human Resource Management Practices, and Individual Employee Performance in Small and Medium Enterprises in the Digital Era
    Journal: Economies (2022-07-05)
  • The Relationship between the Employment of Expatriates and the Subsidiary Performance of Multinational Companies in Five CEE Countries
    Journal: Journal of East-West Business (2022-07-03)
  • An Empirical Study of Consulting in a Transitional Economy in the Central European Region During COVID-19
    Journal: Journal of Eastern European and Central Asian Research (JEECAR) (2022-06-04)
  • Pursuing Consultant Performance: The Roles of Sustainable Leadership Styles, Sustainable Human Resource Management Practices, and Consultant Job Satisfaction
    Journal: Sustainability (2022-03-28)
  • A COVID19-HR-felmérés bemutatása empirikus adatok tükrében
    Book Chapter: Koronavírus-válság kihívások és HR-válaszok – hazai és nemzetközi tapasztalatok (2020)

 

  • A COVID–19-pandémia okozta válság hatása az üzleti vállalkozások vezetőire empirikus kutatások tükrében
    Journal: KÖZGAZDÁSZ FÓRUM / FORUM ON ECONOMICS AND BUSINESS (2021)

 

  • A FOGLALKOZTATOTTSÁG ALAKULÁSA A MAGYAR GAZDASÁG SZEKTORAIBAN A COVID-19 JÁRVÁNY KÖVETKEZTÉBEN
    Journal: ÚJ MUNKAÜGYI SZEMLE (2021)

 

  • A koronavírus vakcina elfogadása, elutasítása esetén lehetséges munkahelyi diszkrimináció: magyarországi munkavállalói vélemények
    Book Chapter: Az emberierőforrás-menedzsment aktuális globális, regionális és helyi kihívásai és a COVID-19 (2021)

 

  • A koronavírus-válság hatása a munkaerőpiacra és a humán erőforrásokra
    Conference Paper: “Kizökkent világ” Szokatlan és különleges élethelyzetek: a nem-konvencionális, nem “normális”, nem kiszámítható jelenségek korszaka? : XXIV. Apáczai-napok Tudományos Konferencia tanulmánykötete (2021)

 

  • A V4 Országok Aktuális Munkaerőpiaci Trendjeinek Összehasonlítása
    Conference Paper: Economics Section. Conference Proceedings (2021)
    DOI: 10.36007/4119.2022.09

 

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