Erica von Essen | Geography | Best Researcher Award

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Assoc Prof Dr. Erica von Essen | Geography | Best Researcher Award

Associate Professor at Stockholm Resilience Center, Sweden

Summary:

Dr. Erica von Essen is an Associate Professor in the Department of Social Anthropology at Stockholm University and a researcher at the Stockholm Resilience Center. With a robust background in environmental communication and sustainable development, she has made significant contributions to understanding the dynamics between society and the environment. Dr. von Essen has received numerous accolades for her pedagogical work, including the 2017 Pedagogical Prize from the Swedish University of Agricultural Sciences. Her extensive teaching experience spans various universities and covers topics such as human dimensions of wildlife, climate change leadership, and research ethics.

Professional Profile:

👩‍🎓Education:

  • PhD in Environmental Communication
    Swedish University of Agricultural Sciences (SLU), 2016
    Supervisor: Hans Peter Hansen, Aarhus University
  • Master’s in Sustainable Development
    Department of Earth Sciences, Uppsala University, Sweden, 2012
  • Bachelor in Social Sciences (Social Geography, Anthropology)
    Uppsala University, Sweden, 2010

🏢 Professional Experience:

Dr. Erica von Essen has held several notable positions in academia, focusing on environmental communication, sustainability, and social anthropology. From 2021 to 2023, she served as an Associate Professor in the Department of Social Anthropology at Stockholm University, where she specialized in the human dimensions of wildlife and human-animal studies. Since 2023, Dr. von Essen has been a researcher at the Stockholm Resilience Center, delving into resilience and sustainability research. Concurrently, she has been involved in applied ecology research at the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences. Prior to these roles, she worked as a researcher at the Norwegian Institute for Nature Research (NINA) from 2020 to 2021, focusing on nature conservation and environmental communication. Her earlier roles include postdoctoral and research positions at the Environmental Communication Division of SLU, where she contributed to environmental communication and public engagement strategies. In addition to her research, Dr. von Essen has extensive teaching experience, having lectured on various subjects such as human dimensions of wildlife, climate change leadership, and research methodology across several institutions. She has supervised 23 master’s theses and 8 bachelor’s theses, guiding students in fields like environmental communication, sustainable development, and social anthropology.

Research Interests:

Dr. von Essen’s research interests encompass environmental communication, sustainability, human-animal interactions, and resilience studies. Her work focuses on how communication strategies can enhance public engagement with environmental issues and how societal and ecological systems interact.

Top Noted Publication:

Kapil Patil | Cloud Networking | Industry Pioneer Innovation Award

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Mr. Kapil Patil | Cloud Networking | Industry Pioneer Innovation Award

Kapil Patil at Oracle America, Inc, United States

Summary:

Mr. Kapil Patil is a Certified Principal Technical Program Manager and AWS Senior Cloud Engineer with over a decade of experience in leading cross-functional teams and managing complex hardware and software projects. His expertise spans cloud technologies, networking, and project management. At Oracle, he is currently enhancing backbone capacity and developing a backbone simulator tool. Previously, at Meta and AWS, Mr. Patil led significant projects in network scaling, transformation, and capacity planning, earning accolades for his impactful contributions.

Professional Profile:

👩‍🎓Education:

Master of Science (MS) in Electrical Engineering
New York University, New York, NY

🏢 Professional Experience:

Mr. Kapil Patil is a seasoned technical program manager with extensive experience across various high-profile roles in the tech industry. Currently, as a Principal Technical Program Manager at Oracle in Seattle, WA (September 2023 – Present), he leads a team of network engineers and data scientists to develop a backbone simulator tool, manages a major $5 million+ project to enhance backbone metro capacity, and implements various tracking and forecasting programs to ensure global network demands are met. At Meta (October 2021 – March 2023), Mr. Patil served as a Sr. Technical Program Manager, where he directed a team in revamping network database architecture, led network capacity transformations, and was responsible for roadmap planning and organizing large-scale events. His notable achievements include being awarded the TPMEmmy Best Debutant Award. Previously, at Amazon Web Services (April 2019 – October 2021), Mr. Patil excelled as a Sr. Technical Program Manager, managing teams to scale Amazon’s backbone and edge network services, designing migration strategies, and developing resource allocation models. Earlier roles include serving as a Cloud Support Engineer at AWS (July 2015 – March 2019), where he architected complex network designs and collaborated closely with top enterprise customers. His career began at Netcom Systems (June 2013 – June 2015) as a Network Operations Engineer, where he monitored MPLS WAN links and managed network infrastructure. He also worked as a Network Engineer at Brookfield Asset Management (June 2012 – May 2013).

Research Interests:

  • Network Infrastructure Optimization: Techniques and technologies to enhance the performance, scalability, and reliability of network infrastructures, including backbone, metro, and data center networks.
  • Cloud Networking and Scalability: Innovations in cloud networking to improve the scalability, efficiency, and cost-effectiveness of cloud services, particularly within AWS and GCP environments.
  • Agile Methodologies in Technical Program Management: Application and advancement of Agile methodologies, such as Scrum and Kanban, for effective project management and delivery in complex technical environments.
  • Advanced Network Simulation Tools: Development and refinement of network simulation tools to model and analyze network behaviors, failures, and capacity planning.
  • Cost-effective Network Solutions: Strategies and models for reducing operational expenses and improving return on investment in network infrastructure projects.
  • Resource Allocation and Capacity Planning: Optimizing resource allocation and capacity planning in large-scale network projects, focusing on efficiency and effectiveness in global network scaling.

Top Noted Publication:

Public Procurement Policy for Small and Medium Enterprises in Developing Countries: Evidence from India

  • Author: K. Patil
  • Journal: International Journal of Public Sector Management
  • Volume: 30, Issue 4
  • Pages: 391-410
  • Year: 2017
  • Citations: 45

India’s New Mountain Strike Corps: Conventional Deterrence

  • Author: K. Patil
  • Publication: The Diplomat
  • Issue: 8
  • Pages: 13
  • Year: 2013

‘Zero-error’ versus ‘Good-enough’: Towards a ‘Frugality’ Narrative for Defence Procurement Policy

  • Authors: K. Patil, S. Bhaduri
  • Journal: Mind & Society
  • Volume: 19, Issue 1
  • Pages: 43-59
  • Year: 2020
  • Citations: 11

Kudankulam Nuclear Power Plant and Civil Nuclear Liability

  • Authors: G. Balachandran, K. Patil
  • Publication: IDSA Issue Brief
  • Issue: 9
  • Pages: 11
  • Year: 2012

Resurgence of Nuclear Power: Challenges and Opportunities for Asia

  • Authors: N. Janardhanan, G. Pant, R.B. Grover
  • Publisher: Springer
  • Year: 2017

Ruihong Chen | Traditional Chinese Medicine | Best Researcher Award

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Dr. Ruihong Chen | Traditional Chinese Medicine | Best Researcher Award

Doctorate at Guangdong Medical University, China

Summary:

Dr. Chen is an Assistant Professor at the School of Medical Technology, Guangdong Medical University. He earned his Ph.D. in Traditional Chinese Medicine from Macau University of Science and Technology, where his research focused on the therapeutic effects of natural products from TCM on respiratory pathogens and cancer. Dr. Chen holds a Master’s degree in Pharmacology and a Bachelor’s degree in Pharmacy, both from Guangzhou Medical University. His research interests include natural small molecules, traditional Chinese medicine, and the development of agents for anticancer and anti-respiratory pathogen purposes. Dr. Chen has received several prestigious awards for his academic and research contributions.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Traditional Chinese Medicine
    Macau University of Science and Technology
    September 2019 – April 2023
  • Master of Science in Pharmacology
    Guangzhou Medical University
    September 2014 – June 2017

    • Awarded the National Scholarship for Master’s Students in 2017
  • Bachelor of Pharmacy
    Guangzhou Medical University
    September 2010 – June 2014

🏢 Professional Experience:

  • Assistant Professor
    School of Medical Technology, Guangdong Medical University
    June 2023 – Present
  • Research Assistant
    Affiliated Stomatology Hospital of Guangzhou Medical University
    June 2017 – June 2019

Research Interests:

Dr. Chen’s research focuses on the extraction, isolation, identification, and pharmacological effects of natural products from Traditional Chinese Medicine (TCM). His primary areas of interest include:

  • Discovery and development of drugs targeting anticancer and anti-respiratory pathogen applications.
  • Component analysis of natural products.
  • Exploration of pharmacological effects and elucidation of mechanisms of action.

Honors and Awards:

  • 2022: Macau Scientific and Technological Award for Postgraduates (Nomination)
  • 2017: National Scholarship for Postgraduates
  • 2017: Outstanding Graduate Student Award, Guangzhou Medical University
  • 2016: Outstanding Paper Award, Guangdong Pharmacists

Top Noted Publication:

“N-Acetylcysteine overcomes epalrestat-mediated increase of toxic 4-hydroxy-2-nonenal and potentiates the anti-arthritic effect of epalrestat in AIA model”

  • Authors: Wang, L., Huang, B., Zeng, Y., Chung, S.K., Wong, V.K.W.
  • Journal: International Journal of Biological Sciences
  • Year: 2023
  • Volume: 19
  • Issue: 13
  • Pages: 4082–4102
  • Citations: 2

“CERS4 predicts positive anti-PD-1 response and promotes immunomodulation through Rhob-mediated suppression of CD8+Tim3+ exhausted T cells in non-small cell lung cancer”

  • Authors: Wang, J., Li, R.-Z., Wang, W.-J., He, J.-X., Leung, E.L.-H.
  • Journal: Pharmacological Research
  • Year: 2023
  • Volume: 194
  • Article Number: 106850
  • Citations: 4

“Identification of natural compounds as SARS-CoV-2 entry inhibitors by molecular docking-based virtual screening with bio-layer interferometry”

  • Authors: Zhang, D., Hamdoun, S., Chen, R., Liu, L., Wong, V.K.W.
  • Journal: Pharmacological Research
  • Year: 2021
  • Volume: 172
  • Article Number: 105820
  • Citations: 56

“Corilagin prevents SARS-CoV-2 infection by targeting RBD-ACE2 binding”

  • Authors: Yang, L.J., Chen, R.H., Hamdoun, S., Law, B.Y.K., Wong, V.K.W.
  • Journal: Phytomedicine
  • Year: 2021
  • Volume: 87
  • Article Number: 153591
  • Citations: 44

“1,2,3,4,6-Pentagalloyl Glucose, a RBD-ACE2 Binding Inhibitor to Prevent SARS-CoV-2 Infection”

  • Authors: Chen, R.H., Yang, L.J., Hamdoun, S., Law, B.Y.K., Wong, V.K.W.
  • Journal: Frontiers in Pharmacology
  • Year: 2021
  • Volume: 12
  • Article Number: 634176
  • Citations: 39

Ram Gopal | Materials Science Excellence | Best Researcher Award

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Dr. Ram Gopal | Materials Science Excellence | Best Researcher Award

Doctorate at Indian Institute of Technology Guwahati, India

Summary:

Dr. Ram Gopal is a Post-Doctoral Fellow at the Department of Physics, Indian Institute of Technology Guwahati. He completed his Ph.D. in Physics at IIT (ISM) Dhanbad under the supervision of Prof. Jairam Manam. His research focuses on advanced materials including perovskite solar cells, photodetectors, and luminescent materials. Dr. Gopal has significant expertise in nanomaterials synthesis and characterization, as well as a strong background in laser and photonics. He has also contributed to education through his role as an instructor and teaching assistant in various physics courses.

Professional Profile:

👩‍🎓Education:

Ph.D. in Physics, Indian Institute of Technology (Indian School of Mines) Dhanbad, India (July 2018 – May 2023)

  • Supervisor: Prof. Jairam Manam
  • CGPA: 8.99

M.Sc. in Physics, National Institute of Technology Durgapur, India (2016 – 2018)

  • CGPA: 8.54

B.Sc. in Physics, Patna Science College, Patna, India (2013 – 2016)

  • Percentage: 74.625%

🏢 Professional Experience:

  • Post-Doctoral Fellow, Department of Physics, Indian Institute of Technology Guwahati, Assam, India (February 2024 – Present)
  • Post-Doctoral Fellow, Technology Innovation and Development Foundation, Indian Institute of Technology Guwahati, Assam, India (August 2023 – January 2024)
  • Ph.D. Researcher, Indian Institute of Technology (Indian School of Mines) Dhanbad, India (August 2018 – May 2023)
    • Supervised by Prof. Jairam Manam
  • M.Sc. Project, National Institute of Technology Durgapur, India (January 2018 – May 2018)
    • Project Title: “Synthesis and Characterization of NdFeO3 Nanoparticles”
    • Supervisor: Prof. Soumen Basu
  • Senior Research Fellow, IIT (ISM) Dhanbad, India (July 2020 – May 2023)
  • Junior Research Fellow, IIT (ISM) Dhanbad, India (July 2018 – July 2020)

Research Expertise:

  • Perovskite Solar Cells and Photodetectors: Fabrication and performance analysis.
  • Nanomaterials Synthesis: Techniques include wet chemical methods and laser ablation in liquid.
  • Luminescent Materials: Analysis of long-persistent phosphors.
  • Characterization Techniques: Expertise in UV-Visible, Photoluminescence, FTIR, Thermo-luminescence spectroscopy, XRD, XPS, FESEM, HRTEM, and Raman spectroscopy.
  • Computational Tools: Proficient in COMSOL Multiphysics, Fullprof Suite, Origin Pro, X’Pert Highscore Plus, ImageJ, Topas, Vesta, and basic computer applications.

Teaching Experience:

  • Head Instructor and Coordinator for a 600-hour course on solar panel installation at IIT Guwahati, part of the Prime Minister Skill Development Mission of India.
  • Teaching Assistant and Lab Assistant at IIT (ISM) Dhanbad, involved in setting up experiments, assisting students, and evaluating tutorials.

Research Interests:

Top Noted Publication:

Enhanced Photoluminescence and Abnormal Temperature-Dependent Photoluminescence Property of SrWO₄³⁺ Phosphor by the Incorporation of Li⁺ Ion

  • Authors: R. Gopal, A. Kumar, J. Manam
  • Journal: Materials Chemistry and Physics
  • Volume: 272
  • Article ID: 124960
  • Year: 2021
  • Citations: 40

A Novel Blue Excited White Light Emitting SrWO₄³⁺ Phosphor for Single Phase White-LED Applications

  • Authors: R. Gopal, J. Manam
  • Journal: Ceramics International
  • Volume: 48 (20)
  • Pages: 30724-30733
  • Year: 2022
  • Citations: 12

SrWO₄³⁺; An Efficient Green Phosphor for LED and Optical Thermometry Applications

  • Authors: R. Gopal, J. Manam
  • Journal: Journal of Materials Science: Materials in Electronics
  • Volume: 33 (27)
  • Pages: 21746-21761
  • Year: 2022
  • Citations: 10

Study of the Up/Down-Conversion Green Luminescence of BaWO₄³⁺ Phosphors for Non-Contact Temperature Sensing and Solid-State Lighting Applications

  • Authors: R. Gopal, J. Manam
  • Journal: Applied Physics A
  • Volume: 128 (9)
  • Article ID: 772
  • Year: 2022
  • Citations: 8

The Photoluminescence and Judd-Ofelt Investigations of UV, Near-UV, and Blue Excited Highly Pure Red Emitting BaWO₄³⁺ Phosphor for Solid-State Lighting

  • Authors: R. Gopal, J. Manam
  • Journal: Ceramics International
  • Volume: 49 (17)
  • Pages: 28118-28129
  • Year: 2023
  • Citations: 7

Jeongseog Oh | Aluminum water splitting | Best Researcher Award

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Dr. Jeongseog Oh | Aluminum water splitting | Best Researcher Award

Doctorate at Korea Institute of Energy Research (KIER), South Korea

Summary:

Dr. Jeongseog Oh is a Principal Researcher at the Korea Institute of Energy Research (KIER) and an expert in combustion engineering, chemical engineering, and system engineering. He received his Ph.D. in Mechanical and Aerospace Engineering from Seoul National University and has since contributed to numerous projects and research initiatives, particularly in the areas of combustion stability, energy systems, and reaction kinetics. He has held positions in both academia and industry, including a tenure as an Affiliated Professor and a Senior Researcher. His work has been recognized with several awards, including commendations from national agencies in Korea.

Professional Profile:

👩‍🎓Education:

Ph.D. in Mechanical and Aerospace Engineering

  • Seoul National University, Korea (2010)
  • Focus: Experimental Combustion and Propulsion Engineering
  • Adviser: Youngbin Yoon

M.B.A. in Business Administration

  • Chungnam National University, Korea (2016)
  • Focus: Management of Technology
  • Adviser: Yoonsoo Lim

M.S. in Mechanical Engineering

  • Pusan National University, Korea (2005)
  • Focus: Experimental Combustion Engineering
  • Adviser: Youngjoon Chang

B.S. in Mechanical Engineering

  • Dong-A University, Korea (2002)
  • Adviser: Joongwan Kim

🏢 Professional Experience:

Dr. Jeongseog Oh has been a Principal Researcher in the Energy Convergence System Research Department at the Korea Institute of Energy Research (KIER) since April 2011. In addition, he served as an Affiliated Professor at the Division of Energy System Engineering at the KIER School, University of Science and Technology from 2016 to 2019. Before joining KIER, he was a Senior Researcher in the Propulsion Research Team at Hyundai ROTEM Company from 2010 to 2011. He has also been a Teaching Assistant at the School of Mechanical and Aerospace Engineering at Seoul National University and a Visiting Student at the Propulsion Engineering Research Center at Pennsylvania State University.

Research Interests:

Combustion Engineering:

  • Turbulent non-premixed hydrogen jet flames
  • Liquid jet in cross flow for ramjet engines
  • Combustion instability in gas turbine combustors
  • Oxy-fuel and oxygen-enhanced combustion in industrial furnaces

Chemical Engineering:

  • Particle separation in gasification processes
  • Reduction of iron oxide particles in steelmaking processes
  • Reaction kinetics of gas, liquid, and solid fuels

System Engineering:

  • Smart Farm Energy Systems
  • Thermal Energy Storage Systems (ATES, etc.)
  • Aluminum-Air Battery & Aluminum-Alkali Reaction Systems

Laser Diagnostics:

  • Simultaneous measurements of PIV/OH PLIF
  • Optical patternator (PLLIF)

Computational Tools:

  • Numerical simulation using FLUENT, TRANSYS, SolidWorks, REFPROP, and CHEMKIN

Awards:

Commendation from Minister: Ministry of Trade, Industry, and Energy, Korea (2021)

Commendation from Director: Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET), Korea (2021)

Grand Prize: Annual Outstanding Paper Award, Korea Institute of Energy Research (KIER), Korea (2014)

Top Noted Publication:

Development of an Oxygen-Enhanced Combustor for Scrap Preheating in an Electric Arc Furnace

  • Authors: Oh, J., Lee, E., Noh, D.
  • Journal: Applied Thermal Engineering
  • Year: 2015
  • Volume: 91
  • Pages: 749–758
  • Citations: 9

Pyrolysis Characteristics of Glass Fiber-Reinforced Plastic (GFRP) under Isothermal Conditions

  • Authors: Yun, Y.M., Seo, M.W., Ra, H.W., Lee, J.G., Kim, J.H.
  • Journal: Journal of Analytical and Applied Pyrolysis
  • Year: 2015
  • Volume: 114
  • Pages: 40–46
  • Citations: 30

Numerical Simulation of an Internal Flow Field in a Uniflow Cyclone Separator

  • Authors: Oh, J., Choi, S., Kim, J.
  • Journal: Powder Technology
  • Year: 2015
  • Volume: 274
  • Pages: 135–145
  • Citations: 68

Flame Characteristics of a Non-Premixed Oxy-Fuel Jet in a Lab-Scale Furnace

  • Authors: Oh, J., Noh, D.
  • Journal: Energy
  • Year: 2015
  • Volume: 81
  • Pages: 328–343
  • Citations: 31

Particle Separation with the Concept of Uniflow Cyclone

  • Authors: Oh, J., Choi, S., Kim, J., Lee, S., Jin, G.
  • Journal: Powder Technology
  • Year: 2014
  • Volume: 254
  • Pages: 500–507
  • Citations: 14

Duy Vo | Mechanical Engineering Pioneer | Best Researcher Award

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Dr. Duy Vo | Mechanical Engineering Pioneer | Best Researcher Award

Doctorate at Duy Tan University, Vietnam

Summary:

Dr. Duy Vo is an accomplished engineer and researcher in civil engineering, focusing on applied and computational mechanics, structural analysis, and material optimization. He earned his Ph.D. and M.Sc. from the Sirindhorn International Institute of Technology at Thammasat University, Thailand, and his B.Eng. from Ho Chi Minh City University of Technology, Vietnam. Dr. Vo has received prestigious scholarships and awards for his academic excellence and research contributions, including the Outstanding Dissertation Award from Thammasat University. His work has been widely published in renowned journals, and he continues to contribute to advancing engineering knowledge and practice.

Professional Profile:

👩‍🎓Education:

Ph.D. in Engineering and Technology (2020)

  • School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand

M.Sc. in Engineering and Technology (2017)

  • School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand

B.Eng. in Civil Engineering (2015)

  • Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Vietnam National University, Vietnam

🏢 Professional Experience:

Dr. Duy Vo is a dedicated researcher and educator specializing in applied mechanics, computational mechanics, and structural analysis within the field of civil engineering. His professional journey is marked by significant contributions to the understanding of mechanics of materials, numerical analysis, and optimization. Dr. Vo has collaborated extensively with international research teams and has published numerous high-impact journal articles on topics such as isogeometric analysis of beams, effective material properties of lattices, and the development of advanced computational methods for structural analysis. His expertise also includes working with various numerical methods and optimizing structural designs for better performance and efficiency.

Research Interests:

  • Applied Mechanics
  • Computational Mechanics
  • Structural Analysis
  • Civil Engineering
  • Mechanics of Materials
  • Numerical Analysis
  • Optimization

Awards and Honors:

  • Outstanding Dissertation Award, Thammasat University, Thailand (2020)
  • Ph.D. Scholarship, AUN/SEED-Net, JICA (2018)
  • Master Scholarship, AUN/SEED-Net, JICA (2016)

Top Noted Publication:

1. Geometrically nonlinear multi-patch isogeometric analysis of spatial Euler–Bernoulli beam structures

  • Authors: D. Vo, P. Nanakorn, T.Q. Bui
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Volume: 380
  • Article: 113808
  • Year: 2021
  • Citations: 19

2. Dynamic multi-patch isogeometric analysis of planar Euler–Bernoulli beams

  • Authors: D. Vo, A. Borković, P. Nanakorn, T.Q. Bui
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Volume: 372
  • Article: 113435
  • Year: 2020
  • Citations: 17

3. Static analysis of planar arbitrarily curved microbeams with the modified couple stress theory and Euler-Bernoulli beam model

  • Authors: D. Vo, P. Suttakul, J. Rungamornrat, P. Nanakorn
  • Journal: Applied Mathematical Modelling
  • Volume: 112
  • Pages: 358-390
  • Year: 2022
  • Citations: 13

4. Effective out-of-plane rigidities of 2D lattices with different unit cell topologies

  • Authors: P. Suttakul, P. Nanakorn, D. Vo
  • Journal: Archive of Applied Mechanics
  • Volume: 89
  • Pages: 1837-1860
  • Year: 2019
  • Citations: 13

5. An efficient isogeometric beam formulation for analysis of 2D non-prismatic beams

  • Authors: D. Vo, X. Li, P. Nanakorn, T.Q. Bui
  • Journal: European Journal of Mechanics – A/Solids
  • Volume: 89
  • Article: 104280
  • Year: 2021
  • Citations: 12

Najmeh Najmoddin | Biomaterial Engineering | Best Researcher Award

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Assist Prof Dr. Najmeh Najmoddin | Biomaterial Engineering | Best Researcher Award

Assistant Professor at Islamic Azad University, Science and Research Branch, Iran

Summary:

Dr. Najmeh Najmoddin is an accomplished Assistant Professor specializing in material science and nanotechnology, with extensive expertise in medical engineering. She has received numerous accolades for her academic and research achievements, including being named a distinguished student multiple times and winning awards at international conferences. Dr. Najmoddin’s research focuses on the innovative applications of nanomaterials and composites in the medical field, with a particular interest in tissue engineering, drug delivery, and wound dressing. She has also contributed significantly to teaching, sharing her knowledge and passion for materials science with students in various engineering disciplines.

Professional Profile:

👩‍🎓Education:

Ph.D. in Material Science and Nanotechnology

  • Institutions: Iran University of Science and Technology (IUST), Tehran, Iran; KTH Royal Institute of Technology, Stockholm, Sweden
  • Average: 18.43

M.Sc. in Medical Engineering (Biomaterial)

  • Institution: Amirkabir University of Technology (AUT), Tehran, Iran
  • Average: 19.79

B.Sc. in Material Science

  • Institution: Iran University of Science and Technology (IUST), Tehran, Iran
  • Average: 16.9

🏢 Professional Experience:

Dr. Najmeh Najmoddin is an Assistant Professor with a robust background in material science, medical engineering, and nanotechnology. She has served as a researcher in various capacities, including work on the critical ingate velocity of molten metal at Saipa Malleable Co and surface modification of poly dimethylsiloxane with Argon and CO2 lasers in the Laser and Nanobiophotonics Lab at AUT. Her international experience includes research in magnetic ceramic materials in Sweden, where she also worked with advanced instruments such as XRD, TEM, FTIR, DSC, TG, and BET.

She has been recognized multiple times for her academic excellence and research contributions, including being the distinguished student at IUST and AUT, winning the first Medical Engineering Competition in Iran, and receiving awards at the Asia Nanotech Camp.

Research Interests:

Dr. Najmoddin’s research interests are focused on the application of nanomaterials in the medical field, including:

  • Magnetic nanoporous and mesoporous materials
  • Application of nanomaterials in tissue engineering, drug delivery, imaging, and wound dressing
  • Application of composites in the medical field
  • Surface modification of biomaterials
  • Synthesis and characterization of nanobiomaterials
  • 3D printed electromagnetic scaffolds in tissue engineering

Teaching Experience:

Dr. Najmoddin has taught a variety of subjects in material science and engineering, including:

  • Material Science Principles
  • Metal Forming Principles
  • Non-destructive Testing
  • Materials Engineering
  • Thermodynamics
  • Introduction to Biomedical Materials
  • Chemistry
  • Nanomaterials and Their Medical Applications
  • Composites and Their Medical Applications
  • Research Methods and Information Systems
  • Physical and Mechanical Properties of Materials
  • Ceramics and Their Medical Engineering

Top Noted Publication:

XRD cation distribution and magnetic properties of mesoporous Zn-substituted CuFe2O4

  • Authors: N. Najmoddin, A. Beitollahi, H. Kavas, S.M. Mohseni, H. Rezaie, J. Åkerman
  • Journal: Ceramics International
  • Volume: 40(2)
  • Pages: 3619-3625
  • Year: 2014
  • Citations: 113

An injectable anisotropic alginate hydrogel containing oriented fibers for nerve tissue engineering

  • Authors: P. Ghaderinejad, N. Najmoddin, Z. Bagher, M. Saeed, S. Karimi, S. Simorgh
  • Journal: Chemical Engineering Journal
  • Volume: 420
  • Article Number: 130465
  • Year: 2021
  • Citations: 83

Alginate-magnetic short nanofibers 3D composite hydrogel enhances the encapsulated human olfactory mucosa stem cells bioactivity for potential nerve regeneration application

  • Authors: S. Karimi, Z. Bagher, N. Najmoddin, S. Simorgh, M. Pezeshki-Modaress
  • Journal: International Journal of Biological Macromolecules
  • Volume: 167
  • Pages: 796-806
  • Year: 2021
  • Citations: 78

Developing antibacterial superhydrophobic coatings based on polydimethylsiloxane/silver phosphate nanocomposites: assessment of surface morphology, roughness and chemistry

  • Authors: J. Seyfi, V. Goodarzi, F.R. Wurm, S. Shojaei, M. Jafari-Nodoushan, N. Najmoddin
  • Journal: Progress in Organic Coatings
  • Volume: 149
  • Article Number: 105944
  • Year: 2020
  • Citations: 38

Artemisia annua L. as a promising medicinal plant for powerful wound healing applications

  • Authors: F.S. Mirbehbahani, F. Hejazi, N. Najmoddin, A. Asefnejad
  • Journal: Progress in Biomaterials
  • Volume: 9
  • Pages: 139-151
  • Year: 2020
  • Citations: 36

Duaa AL Maghaireh | Health Professions | Best Researcher Award

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Assoc Prof Dr. Duaa AL Maghaireh | Health Professions | Best Researcher Award

Associate Professor at Irbid National University, Jordan

Summary:

Dr. Duaa Al Maghaireh is an Associate Professor of Nursing at Irbid National University, holding a PhD from the University of Malaya. With seven years of teaching and extensive clinical experience, she specializes in pediatric and psychiatric nursing. Dr. Al Maghaireh has completed numerous research projects, published articles in high-impact journals, and contributed to academic books. Her research focuses on health education and innovative interventions to address vaccine hesitancy, aiming to improve pediatric healthcare outcomes in Jordan. She is an editorial member of the Global Journal of Public Health Medicine and collaborates with various universities and professional councils in Jordan.

Professional Profile:

👩‍🎓Education:

Dr. Duaa Al Maghaireh is an Associate Professor of Nursing at the College of Nursing, Irbid National University. She holds a PhD in Nursing from the University of Malaya, a university ranked among the world’s top 100 according to the World QS Ranking. With seven years of teaching experience, Dr. Al Maghaireh has a robust background in clinical practice, accreditation, and e-learning education. Her academic journey and professional expertise have greatly contributed to her role as an educator and researcher in the nursing field.

🏢 Professional Experience:

As an Associate Professor, Dr. Al Maghaireh has been instrumental in advancing nursing education and practice. She has completed 12 research projects, published numerous articles in high-impact journals, and contributed to a book chapter (ISBN: 978-967-488-175-7). She also holds an editorial appointment with the Global Journal of Public Health Medicine and collaborates with esteemed institutions such as AL Quds University, Philadelphia University, and Al Balqa Applied University. Additionally, she is an active member of the Jordanian Nurses and Midwives Council and the Jordanian Nursing Council.

Research Interests

Dr. Al Maghaireh’s research interests lie primarily in pediatric and psychiatric nursing, with a strong focus on health education. Her work addresses critical issues such as vaccine hesitancy, aiming to develop innovative interventions that improve patient care and outcomes. She is particularly interested in educational programs that enhance the uptake of vaccines, which is evident in her notable paper on measles-rubella vaccine hesitancy in Jordan.

Top Noted Publication:

Omar Soufi | Intelligence Artificial | Best Researcher Award

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Dr. Omar Soufi | Intelligence Artificial | Best Researcher Award

Doctorate at Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

Summary:

Dr. Omar Soufi is an expert in artificial intelligence and data science, with a specialized focus on remote sensing and geographic information systems (GIS). He completed his Ph.D. in Computer Engineering with a concentration in Artificial Intelligence at EMI Rabat in 2023, where his research centered on enhancing satellite image quality using deep learning techniques. With extensive experience in both academia and industry, Dr. Soufi has led numerous projects in AI, data science, and business intelligence. His contributions to the field include developing geospatial platforms for natural disaster risk management and implementing innovative solutions for satellite image processing. Dr. Soufi is currently advancing his research and professional endeavors as a postdoctoral researcher at CRTS Rabat, where he continues to explore the frontiers of AI and remote sensing.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Computer Engineering: Artificial Intelligence (2023)
    • Institution: EMI Rabat
    • Dissertation: Approche par Deep Learning au profit de la télédétection spatiale : Amélioration de la qualité d’images satellites et du procédé du capteur d’étoile.
  • Engineering Degree in Computer Science (2020)
    • Institution: EMI Rabat
    • Option: Ingénierie et Qualité Logicielle.
  • Engineering Degree in Information Systems Engineering (2020)
    • Institution: Polytechnique Grenoble, ENSIMAG
  • Fundamental License in Mechanical Engineering (2014)
    • Institution: ARM Merkèns
  • Diplôme des Études Universitaires (2015)
    • Institution: ARM Merkèns
  • Baccalauréat (2011)
    • Institution: 1ER LMR
    • Option: Sciences de Vie et de Terre

🏢 Professional Experience:

Dr. Omar Soufi is currently a Postdoctoral Researcher in Computer Engineering at CRTS Rabat, a position he has held since February 2024. In this role, he leads projects focused on artificial intelligence and data science, particularly for satellite image processing and spatial data analysis. Since 2022, Dr. Soufi has also been the Head of the Geomatics & Decision-Making Tools Department at CRTS Rabat, where he manages geomatics projects, develops decision-making tools, and oversees the implementation of geospatial platforms.

Previously, from 2020 to 2022, Dr. Soufi served as the Head of the Business Intelligence & Decision-Making Tools Department at CRTS Rabat. In this capacity, he directed business intelligence projects, developed data analytics solutions, and optimized decision-making processes. From 2017 to 2020, he was the Chief of Project at the Decision Support Center, managing decision support projects, implementing big data architectures, and developing e-learning platforms.

Dr. Soufi’s earlier professional experience includes serving as a Project Manager in the IT Department at CRTS Rabat from 2016 to 2017. He led IT projects, developed web applications, and implemented distributed data processing systems. His internships include a PFE internship on the super resolution of satellite images using deep learning (February 2020 – July 2020), an engineering internship on the development of a space station management platform at CRERS Rabat (July 2019 – August 2019), and an internship on the development of an agricultural campaign bulletin diffusion platform at CRTS Rabat (July 2019 – August 2019).

Research Interests

Dr. Omar Soufi’s research interests are centered on artificial intelligence, data science, remote sensing, and geographic information systems (GIS). His work focuses on applying deep learning techniques to improve the quality of satellite images and developing intelligent systems for spatial data analysis and geospatial applications. He is particularly interested in enhancing accessibility to high-resolution satellite imagery and advancing spacecraft attitude control using AI.

Top Noted Publication:

  • Study of Deep Learning-Based Models for Single Image Super-Resolution
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Revue d’Intelligence Artificielle, 2022
    • Link: DOI: 10.18280/ria.360616
  • FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Ingénierie des Systèmes d’Information, 2023
    • Link: DOI: 10.18280/isi.280112
  • Deep Learning Technique for Image Satellite Processing
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Intell Methods Eng Sci, 2023
  • Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Journal of Environmental Treatment Techniques, 2023
  • An Intelligent Deep Learning Approach to Spacecraft Attitude Control: The Case of Satellites
    • Authors: O. Soufi, F.Z. Belouadha
    • Status: Under review, 2023

Maksym Lupei | Predictive Analytics | Best Paper Award

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Dr. Maksym Lupei | Predictive Analytics | Best Paper Award

Doctorate at The Pennsylvania State University, United States

Summary:

Dr. Maksym Lupei is a dedicated researcher and academic with extensive expertise in machine learning and computational genomics. Holding a Ph.D. in Information Technologies and Machine Learning from Uzhhorod National University, he has contributed significantly to the fields of text mining and artificial intelligence. Currently a Postdoctoral Researcher at The Pennsylvania State University, Dr. Lupei is recognized for his innovative work in developing large language models and optimizing computational frameworks for biomedical data analysis. His career reflects a blend of academic excellence and practical industry experience, underpinned by a strong commitment to advancing technology and data science.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information Technologies and Machine Learning (2021)

  • Institution: Uzhhorod National University
  • Dissertation: Determining the Eligibility of Candidates for a Vacancy Using Artificial Neural Networks

MSc in Applied Mathematics (2013)

  • Institution: Uzhhorod National University
  • Thesis: .NET Websites Optimization

BSc in Applied Mathematics (2012)

  • Institution: Uzhhorod National University
  • Thesis: Modern Methods of Prediction

🏢 Professional Experience:

Dr. Maksym Lupei is currently a Postdoctoral Researcher in Computer Science & Engineering at The Pennsylvania State University (since August 2023), where he leads projects involving large language models for biomedical data fact-checking, computational genomics, and metagenomics. His work includes developing open-source text mining services and optimizing GPU infrastructure. Previously, he served as a Senior Research Fellow at the V. M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine, specializing in machine learning and text mining (January 2022 – August 2023). At Uzhhorod National University, Dr. Lupei was an Assistant Professor in the Department of Informative and Operating Systems (December 2019 – January 2023), teaching programming languages and machine learning courses.

Dr. Lupei’s industry experience includes roles as an Engineering Manager at TIBCO Jaspersoft (March 2014 – February 2021), where he led cross-functional teams and established Agile/Scrum processes, and as a Full Stack Developer at JustAnswer (March 2011 – February 2014) and Swan Software Solutions (August 2010 – March 2011).

Research Interests

Dr. Lupei’s research interests encompass machine learning, large language models, computational genomics, metagenomics, and explainable artificial intelligence. His work focuses on processing large information arrays using mathematical methods, particularly in text mining.

Top Noted Publication: