Gabriel Espinosa Carrasco | Cancer Immunology | Best Researcher Award

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Dr. Gabriel Espinosa Carrasco | Cancer Immunology | Best Researcher Award

Postdoctoral fellow Memorial Sloan Kettering Cancer Center Spain

Gabriel Espinosa Carrasco, Ph.D., is a seasoned immunologist renowned for his research on T cell dysfunction and immunotherapy. With a robust background in biological sciences and immunology, he has contributed significantly to understanding how different immune cell populations interact to combat cancer and autoimmune diseases. His career is marked by his leadership abilities and a strong network of collaborators in the immunology field.

 

Profile

Scopus

Education 🎓

Dr. Espinosa Carrasco holds a Ph.D. in Biological Sciences and Immunology from the University of Montpellier (2011-2016). He earned his Master’s in Advanced Immunology from the University of Barcelona in 2011 and a Bachelor’s degree in Biology from the Autonomous University of Barcelona in 2010.

Experience 🧑‍🔬

Currently, Dr. Espinosa Carrasco is a Post-doctoral Scholar at the Cancer Virotherapy and Immunotherapy Group at Bellvitge Institute for Biomedical Research (IDIBELL). He previously held a postdoctoral position at Memorial Sloan-Kettering Cancer Center, where he worked on projects related to intratumoral immune triads. His Ph.D. research at INSERM Unit 1183 focused on T cell interactions in autoimmune diabetes.

Research Interests 🔬

Dr. Espinosa Carrasco’s research interests lie in the development of new immunotherapies for solid tumors. He focuses on strategies to reverse T cell dysfunction, particularly the role of CD4 and CD8 T cells in tumor immunity. His work includes studying immune cell triads to enhance antitumor responses.

Awards 🏆

Dr. Espinosa Carrasco has received numerous accolades, including the 2024 Best Researcher Award (provisionally), a grant from the Ludwig Center for Basic and Translational Immunology, and the Third Prize Poster Presentation Award at the Tumor Microenvironments Symposium in 2019. He was also an invited seminar speaker at Georgetown University in 2017.

Publications Top Notes📚

Gabriel Espinosa-Carrasco et al. “Intratumoral immune triads are required for immunotherapy-mediated elimination of solid tumors.” Cancer Cell, 2024. 10.1016/j.ccell.2024.05.025 (Cited by 25 articles).

Mojdeh Shakiba, Gabriel Espinosa-Carrasco et al. “TCR signal strength defines distinct mechanisms of T cell dysfunction and cancer evasion.” J Exp Med, 2022. 10.1084/jem.20201966 (Cited by 40 articles).

Sofia V. Gearty, Gabriel Espinosa-Carrasco et al. “An autoimmune stem-like CD8 T cell population drives type 1 diabetes.” Nature, 2022. 10.1038/s41586-021-04155-4 (Cited by 50 articles).

Gabriel Espinosa-Carrasco et al. “Integrin beta 1 optimizes diabetogenic T cell migration and function in the pancreas.” Frontiers in Immunology, 2018. 10.3389/fimmu.2018.01156 (Cited by 30 articles).

Gabriel Espinosa-Carrasco et al. “CD4+ T helper cells play a key role in maintaining diabetogenic CD8+ T cell function in the pancreas.” Frontiers in Immunology, 2018. 10.3389/fimmu.2018.02001 (Cited by 35 articles).

Dr C PARTHASARADHI REDDY | SPECTROSCOPY AND SUPERCAPACITORS | Best Researcher Award

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Dr C PARTHASARADHI REDDY | SPECTROSCOPY AND SUPERCAPACITORS | Best Researcher Award

ASSOCIATE PROFESSOR Dr. C. Parthasaradhi Reddy,VEL TECH RANGARAJAN DR. SAGUNTHALA R&D INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Dr. C. Parthasaradhi Reddy is an Associate Professor of Physics at Vel Tech Deemed to be University, Avadi, Chennai, India. He has been a faculty member at Vel Tech since 2016, initially serving as an Assistant Professor before being promoted to Associate Professor in May 2023.

Dr. Reddy earned his Ph.D. in Physics from Sri Venkateswara University, Tirupathi, where his research focused on the optical and dielectric properties of doped P2O5-ZnO-LiF glasses. He also holds an M.Sc. in Physics from Seshachala Degree and PG College, Puttur, and a B.Sc. in Mathematics, Physics, and Computer Science from Dr. AER Degree College, Tirupathi.

He has extensive teaching experience, having worked as an Associate Professor and Assistant Professor at Shree Institute of Technical Education, Tirupathi, and as a Lecturer at Seshachala Degree and PG College, Puttur. His administrative roles include serving as a timetable coordinator, program department coordinator, and course coordinator for various subjects.

Dr. Reddy’s research interests lie in the fields of materials science, thin-film photovoltaics, supercapacitors, and optoelectronic materials. He has published numerous papers in reputed journals, contributing significantly to the understanding of nanostructured materials and their applications in energy and environmental technologies.

PUBLICATION PROFILE:

orcid

EDUCATION:

  • Doctor of Philosophy (Ph.D.) in Physics
    • Institution: Sri Venkateswara University, Tirupathi
    • Duration: 2010 – 2015
    • Thesis Title: Studies on Optical and Dielectric Properties of (Cr3+ & Cu3+) and Energy Transfer-based Emission Analysis of (Tb3+, Sm3+; Er3+, Yb3+; Bi3+, Sm3+) Doped P2O5-ZnO-LiF Glasses
  • Master of Science (M.Sc.) in Physics
    • Institution: Seshachala Degree and PG College, Puttur
    • Duration: 2003 – 2005
    • Grade: 77.3%
  • Bachelor of Science (B.Sc.) in Mathematics, Physics, Computer Science
    • Institution: Dr. AER Degree College, Tirupathi
    • Duration: 2000 – 2003
    • Grade: 69%
  • Intermediate
    • Institution: SV Junior College, Tirupathi
    • Duration: 1997 – 1999
    • Grade: 70%
  • Secondary School Certificate (SSC)
    • Institution: Vasishta Residential School, Ramanaiahgaripalli, Pakala
    • Duration: 1996 – 1997
    • Grade: 82%

Professional Experience:

  • Associate Professor, Physics
    • Institution: Vel Tech Deemed to be University, Avadi, Chennai
    • Duration: May 2023 – Present
  • Assistant Professor, Physics
    • Institution: Vel Tech Deemed to be University, Avadi, Chennai
    • Duration: July 2016 – May 2023
  • Associate Professor, Physics
    • Institution: Shree Institute of Technical Education, Tirupathi
    • Duration: June 2013 – July 2016
  • Assistant Professor, Physics
    • Institution: Shree Institute of Technical Education, Tirupathi
    • Duration: June 2008 – June 2013
  • Lecturer, Department of Physics
    • Institution: Seshachala Degree and PG College, Puttur
    • Duration: July 2005 – June 2008

RESEARCH FOCUS:

  • 1. Optical and Dielectric Properties:
  • Investigates the optical and dielectric characteristics of doped glasses, such as P2O5-ZnO-LiF glasses. His work includes studying energy transfer-based emission processes in various dopant systems like Cr3+, Cu3+, Tb3+, Sm3+, Er3+, Yb3+, and Bi3+.
  • 2. Nanostructured Materials:
  • Examines the synthesis and applications of nanostructured materials, including composites like ZnO/SnO2. His research focuses on their catalytic properties for organic pollutant degradation and other environmental applications.
  • 3. Thin-Film Photovoltaics:
  • Works on developing thin-film materials for photovoltaic applications. This includes research on absorber films such as Ag3SbS3 and AgSbS2, and their performance in solar cells.
  • 4. Supercapacitors:
  • Studies battery-type electrode materials for supercapacitors, including the in-situ synthesis of zinc cobalt oxide and zinc manganese oxide composites. His research aims to enhance the energy storage and performance of supercapacitors.
  • 5. Optoelectronic Materials:
  • Investigates materials that affect the optoelectronic properties of thin films, such as CZTS thin films and their performance under various doping conditions.
  • 6. Photoelectrochemical Water Splitting:
  • Explores the chemical synthesis of thin films, such as BixSb2-xS3, for applications in photoelectrochemical water splitting, aiming to improve efficiency and effectiveness in energy conversion processes

PUCLICATION TOP NOTES:

Dr. C. Parthasaradhi Reddy has authored and co-authored several influential research papers in the field of physics. His work primarily focuses on materials science, nanotechnology, and energy applications. Key publications include:

  1. “One-step formation of synergistic ZnO/SnO2 composite nanostructures derived from annealing of crystalline ZnSn(OH)6 nanocubes for enhanced catalytic degradation of organic pollutants”
    Materials Chemistry and Physics (2024) 325,129728
    https://doi.org/10.1016/j.matchemphys.2024.129728DOI:
  2. “Development of pyrargyrite Ag3SbS3 absorber films through sulfurization of Ag-Sb stacks for thin-film photovoltaics”
    Solid State Sciences (2024) 107560.
    DOI: 10.1016/j.solidstatesciences.2024.107560
  3. “In-situ synthesis of coral reef-like synergistic zinc cobalt oxide and zinc manganese oxide composite as a battery-type electrode material for supercapacitors”
    Colloids Surf. A: Physicochem. Eng. Asp (2024), 134148.
    DOI: 10.1016/j.colsurfa.2024.134148
  4. “Fabrication of 2D SnS2 nanofake photoanodes by a two-step process”
    Journal of Materials Science: Materials in Electronics (2024) 35(9), 625.
    DOI: 10.1007/s10854-024-12222-2
  5. “Enhancing the optoelectronic performance of CZTS thin films through cobalt doping via nebulizer-assisted spray pyrolysis technique”
    Sensors and Actuators A: Physical (2024) 114941.
    DOI: 10.1016/j.sna.2023.114941
  6. “Copper cobalt oxide microstructures resembling marigold flowers created by solvothermal synthesis for high-performance supercapacitors”
    Inorganic Chemistry Communications (2024), 111922.
    DOI: 10.1016/j.inoche.2023.111922
  7. “Synthesis of wittichenite Cu3BiS3 thin films by sulfurizing thermally evaporated Cu-Bi metallic stacks”
    Chalcogenide Letters (2023) 797-802.
    DOI: 10.15251/CL.2023.2011.797
  8. “Chemical synthesis of BixSb2−xS3 (x= 0 to 2) thin films for photoelectrochemical water splitting”
    Results in Physics (2023) 107186.
    DOI: 10.1016/j.rinp.2023.107186
  9. “The effect of lanthanides (Er, Gd and La) on the adsorption and photocatalytic performance of bismuth ferrite”
    MRS Advances (2023) 20598521.
    DOI: 10.1557/s43580-023-00638-7
  10. “Two-stage-processed AgSbS2 films for thin-film solar cells”
    Materials Science in Semiconductor Processing (2023) 168, 107821.
    DOI: 10.1016/j.mssp.2023.107821

 

Assist Prof Dr Seifollah Jamalpour | Lithium ion batteries | Best Researcher Award

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Assist Prof Dr Seifollah Jamalpour | Lithium ion batteries | Best Researcher Award

Assist Prof Dr Seifollah Jamalpour,Shahid Chamran Ahvaz,Iran

Assist. Prof. Dr. Seifollah Jamalpour is a respected academic and researcher at Shahid Chamran University of Ahvaz, Iran. With a strong educational foundation and extensive experience, Dr. Jamalpour has made noteworthy contributions to his field.

Profile

Orcid

Education

  • Postdoctoral Research in Polymer Engineering (2019-2021)
    • Institution: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
    • Thesis Title: “Fabrication of a novel porous gel polymer electrolyte based on Poly(vinylidene fluoride) nanocomposite containing Poly(methyl methacrylate) grafted SiO2 nanoparticles for lithium-ion battery application.”
  • Ph.D. in Polymer Engineering (2013-2018)
    • Institution: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
    • Thesis Title: “Investigation of Microcellular Foaming of Ureido-pyrimidinone Based Supramolecular Polymer via Solid-State method.”
  • M.Sc. in Polymer Engineering (2010-2012)
    • Institution: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
    • Thesis Title: “Investigation of crystallization in self-reinforced polypropylene composites with nanoclay and the effect of their microcellular structure on crystallization.”
  • B.Sc. in Polymer Engineering (2006-2010)
    • Institution: Azad University of Shiraz, Shiraz, Iran

Professional experience

Assistant Professor – Shahid Chamran University of Ahvaz, Iran

  • Teaching various undergraduate and postgraduate courses
  • Supervising graduate students
  • Conducting advanced research in polymer engineering and materials science

Research focus

  • Polymer nanocomposites
  • Gel polymer electrolytes
  • Supramolecular polymers
  • Microcellular foaming
  • Crystallization in polymer composites
  • Renewable energy applications, particularly in lithium-ion batteries

Awards and Honors

  • Best Researcher Award, Amirkabir University of Technology, 2020
    • Awarded for outstanding contributions to polymer engineering research.
  • Top Paper Award, International Conference on Polymer Science and Engineering, 2019
    • Recognized for the paper titled “Fabrication of a Novel Porous Gel Polymer Electrolyte Based on Poly(vinylidene fluoride) Nanocomposite for Lithium-Ion Battery Applications.”
  • Excellence in Teaching Award, Shahid Chamran University of Ahvaz, 2018
    • Honored for exceptional teaching performance and student mentorship.
  • Distinguished Dissertation Award, Amirkabir University of Technology, 2018
    • Acknowledged for the doctoral thesis “Investigation of Microcellular Foaming of Ureido-pyrimidinone Based Supramolecular Polymer via Solid-State Method.”
  • Best Master’s Thesis Award, Amirkabir University of Technology, 2012
    • Awarded for the master’s thesis “Investigation of Crystallization in Self-Reinforced Polypropylene Composites with Nanoclay and the Effect of Their Microcellular Structure on Crystallization.”

Dr. Jamalpour’s dedication to advancing polymer engineering and his significant contributions to research and education have earned him these prestigious recognitions.

Publication Top Notes

  • Journal of the Electrochemical Society, 2023
    • Title: Novel Single-Ion Conducting Gel Polymer Electrolyte with Honeycomb-Like Morphology Prepared Using Brush Copolymer for Lithium-Ion Battery Application.
    • Authors: M. Ghahramani, M. Javanbakht, S. Jamalpour, S. Hamidi.
  • Journal of Social Science Research Network, 2023
    • Title: Effective Parameters on Fabrication and Performance of Superhydrophobic/Superoleophilic Polyurethane Sponge: Design of Experiment Approach.
    • Authors: Y. Tamsilian, M. A. Babadi, A. Zalakinezhad, S. A. Savaedi, S. Jamalpour.
  • Journal of Basparesh, 2023
    • Title: An Introduction to the Structure and Performance of Polymer Electrolyte Membranes and Their Applications.
    • Authors: M. Tohidian, S. Jamalpour, S. Enayati, M. Tohidian.
  • Journal of IJPST, 2022
    • Title: Sulfonated Poly (ether ether ketone) and Organically Modified Montmorillonite Nanocomposite Membranes for Direct Methanol Fuel Cell.
    • Authors: M. Tohidian, S. Jamalpour, K. Arab, M. Tohidian, K. Hooshyari, S. Rahmani.
  • Journal of International Journal of Smart and Nano Materials, 2022
    • Title: A Comparison Study on Polymeric Nanocomposite Foams with Various Carbon Nanoparticles: Adjusting Radiation Time and Effect on Electrical Behavior and Microcellular Structure.
    • Authors: M. Aghvami-Panah, A. Wang, M. Panahi-Sarmad, S. A. S. Esfahani, A. A. Seraji, M. Shahbazi, R. Ghaffarian, S. Jamalpour, X. Xiao.
  • Journal of Polymer, 2021
    • Title: Improved Performance of Lithium-Ion Battery by the Incorporation of Novel Synthesized Organic-Inorganic Hybrid Nanoparticles SiO2-poly(methyl methacrylate-co-ureidopyrimidinone) in Gel Polymer Electrolyte Based on Poly (vinylidene fluoride).
    • Authors: S. Jamalpour, M. Ghahramani, S. R. Ghaffarian, M. Javanbakht.
  • Journal of Supercritical Fluids, 2021
    • Title: LDPE/MWCNT and LDPE/MWCNT/UHMWPE Self-Reinforced Fiber-Composite Foams Prepared via Supercritical CO2: A Microstructure-Engineering Property Perspective.
    • Authors: M. Aghvami-Panah, M. Panahi-Sarmad, A. A. Seraji, S. Jamalpour, S. R. Ghaffarian, Ch. B. Park.
  • Journal of SPE Polymers, 2021
    • Title: Microwave-Assisted Foaming of Polystyrene Filled with Carbon Black; Effect of Filler Content on Foamability.
    • Authors: M. Aghvami-Panah, S. Jamalpour, S. R. Ghaffarian.
  • Journal of Polymer, 2020
    • Title: The Effect of Poly(hydroxyl Ethyl Methacrylate) on the Performance of PVDF/P(MMA-co-HEMA) Hybrid Gel Polymer Electrolytes for Lithium-Ion Battery Application.
    • Authors: S. Jamalpour, M. Ghahramani, S. R. Ghaffarian, M. Javanbakht.
  • Journal of Thermochimica Acta, 2018
    • Title: Thermal and Viscoelastic Properties of Entangled Supramolecular Polymer Networks as a Powerful Tool for Prediction of Their Microstructure.
    • Authors: A. Jangizehia, S. R. Ghaffariana, G. Nikravana, S. Jamalpour.
  • Journal of Polymer International, 2018
    • Title: Effect of Matrix-Nanoparticle Supramolecular Interactions on Morphology and Mechanical Properties of Polymer Foams.
    • Authors: S. Jamalpour, S. R. Ghaffarian, A. Jangizehi.
  • Journal of Polymer Composites, 2017
    • Title: Effect of Nanosize CaCO3 and Nanoclay on Morphology and Properties of Linear PP/Branched PP Blend Foams.
    • Authors: N. Mohammad Mehdipour, H. Garmabi, S. Jamalpour.
  • Journal of Polymers for Advanced Technologies, 2017
    • Title: Using Supramolecular Associations to Create Stable Cellular Structures in Amorphous Soft Polymers.
    • Authors: S. Jamalpour, S. R. Ghaffarian, H. Goldansaz.
  • Journal of Polymer Composites, 2017
    • Title: Improving Microcellular Foamability of Amorphous Supramolecular Polymers via Functionalized Nanosilica Particles.
    • Authors: S. Jamalpour, S. R. Ghaffarian, H. Goldansaz, A. Jangizehi.
  • Journal of Macromolecular Science, Part B: Physics, 2014
    • Title: Investigation of Cell Structure and Expansion Ratio of Microcellular Polypropylene Nano-Homocomposites Prepared by a Solid-State Process.
    • Authors: S. Jamalpour, S. R. Ghaffaria.

Sureshkumar Chelladurai | Information Technology | Best Researcher Award

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Dr. Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai, Vel Tech Rangarajan Dr Sangunthala R and D Institute of Science and Technology, India

Dr. Sureshkumar Chelladurai is a seasoned academic with over 12 years of experience in IT education. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology. Previously, he taught at Anna University, BIT campus, and Maha Barathi Engineering College. Dr. Chelladurai holds a Ph.D. in ICE from Anna University, an M.E. in CSE from Annamalai University, and a B.Tech in IT from SVCET, Tenkasi. His expertise spans programming languages, networks, cloud computing, operating systems, compiler design, and machine learning. 🚀📚

Publication Profile

Orcid

Experience 🧑‍🏫

Dr. Sureshkumar Chelladurai is a seasoned academic with a wealth of experience in teaching and research. He began his career as an Assistant Professor of IT at Maha Barathi Engineering College in Kallakurichi, Tamil Nadu, serving from June 2011 to July 2014, totaling 37 months. He then moved to Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, where he worked as a Teaching Fellow in IT from January 2015 to December 2023, accumulating 107 months of experience. Currently, Dr. Chelladurai holds the position of Assistant Professor of IT at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, starting in December 2024. With over 12.3 years of experience, Dr. Chelladurai has established himself as a dedicated and knowledgeable educator.

Education 🎓

Dr. Chelladurai’s academic journey is marked by significant achievements. He completed his Ph.D. in Instrumentation and Control Engineering from Anna University, Chennai, in 2023. Prior to this, he earned his M.E. in Computer Science and Engineering from Annamalai University, Chidambaram, in 2011, with a commendable OGPA of 7.9. He also holds a B.Tech in Information Technology from SVCET, Puliyangudi, Tenkasi, Tamil Nadu, graduating in 2008 with a percentage of 69. His early education includes a Higher Secondary Certificate (HSC) from H.N.U.C. Hr. Sec. School, Puliyangudi, with a percentage of 76 in 2003, and a Secondary School Leaving Certificate (SSLC) from the same institution, where he scored 86% in 2000.

Research Focus

Dr. Sureshkumar Chelladurai’s research primarily revolves around enhancing the efficiency and security of wireless sensor networks (WSNs). His work spans various crucial aspects, including reducing traffic overhead, developing adaptive frameworks for spatial data, and implementing secure trust-based group key generation algorithms. Additionally, he focuses on improving energy efficiency and intrusion detection within WSNs using advanced techniques like fuzzy-based authentication and clustering. Dr. Chelladurai’s contributions significantly impact areas such as networks, cloud computing, machine learning, and cybersecurity, aiming to create more robust and efficient network systems. 🌐🔐📡

 

Publication Top Notes

  • Adaptive Graphical Routing Methodology for Reducing Traffic Overhead in Wireless Sensor Networks 🛤️📡
    • Publication: Signal, Image and Video Processing
    • Year: 2023
    • DOI: 10.1007/s11760-023-02834-2
    • Contributors: C. Sureshkumar, S. Sabena, L. Sai Ramesh
    • Cited by: –
  • Design of an Adaptive Framework with Compressive Sensing for Spatial Data in Wireless Sensor Networks 🖼️🌐
    • Publication: Inventive Computation and Information Technologies
    • Year: 2021Secure Trust-Based Group Key Generation Algorithm for Heterogeneous Mobile Wireless Sensor Networks 🔑📱
    • Contributors: S. Sabena, C. Sureshkumar, L. Sai Ramesh, A. Ayyasamy
  • Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks 🔐🌿
    • Publication: Wireless Personal Communications
    • Year: 2020
    • DOI: 10.1007/s11277-020-07113-8
    • Contributors: C. Sureshkumar, S. Sabena
  • Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects 🕒💻
    • Publication: International Journal of Recent Technology and Engineering
    • Year: 2019
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • Diagnosis Prognosis and Prevention of Breast Cancer Based on Present Scenario of Human Life 🎗️👩‍⚕️
    • Publication: Proceedings – 2018 International Conference on Communication, Information and Computing Technology, ICCICT 2018
    • Year: 2018
    • Contributors: Isaac, L.D., Sureshkumar, C.
  • An Efficient Intrusion Detection System for Cyber Attack using Multi-Tier Application 🔍💼
    • Publication: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
    • Year: 2018
    • Contributors: Dr. Sureshkumar C
  • Effort Estimation of Software Projects with Optimized Coefficients using Soft Computing Technique 🧮📊
    • Publication: 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017
    • Year: 2017
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • An Optimized Image Denoising in Impulse Noise Images using Firefly-Based Parallel Type 2 Fuzzy Filtering Approaches 📸✨
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: Revathi, D., Sureshkumar, C.
  • Solution to Uncertainty Using Random Forests for Predicting Mobile User Behavior 📱🔮
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: K Kandasamy, C Sureshkumar

Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

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Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

Dr. Nafis Uddin Khan, SR University Warangal, India.

Dr. Nafis Uddin Khan is an esteemed academic affiliated with SR University, Warangal, India. He completed his Ph.D. in Information and Communication Technology from Atal Bihari Vajpayee Indian Institute of Information Technology & Management, Gwalior, India, in 2013. He holds an M.Tech in Software Systems from Samrat Ashok Technological Institute, Vidisha, India, and a B.E. in Electronics & Telecommunication Engineering from Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, India.

Dr. Khan’s areas of expertise include Computer Vision and Image Processing, Statistical Signal and Image Processing, Fuzzy Logic-based Signal and Image Processing, and Pattern Recognition in Machine Intelligence. He is proficient in Object-Oriented Programming in C++ and problem-solving using Python programming.

His research interests focus on Statistical Image Processing, Medical Image Processing, Fuzzy Logic-based Applications in Signal and Image Processing, and Soft Optimization Techniques in Signal and Image Processing. Dr. Khan has a notable academic presence with 127 citations on Scopus, a Scopus h-index of 6, a Google Scholar h-index of 7, and 209 Google Scholar citations.

Dr. Khan has made significant contributions to his field, integrating advanced methodologies to enhance image and signal processing techniques, particularly in medical and statistical domains.

PUBLICATION PROFILE:

orcid

EDUCATIONAL QUALIFICATIONS:

  • Ph.D. in Information and Communication Technology from Atal Bihari Vajpayee Indian Institute of Information Technology & Management, Gwalior, India (2013).
  • M.Tech in Software Systems from Samrat Ashok Technological Institute, Vidisha, India under Rajiv Gandhi Prodyogiki Vishwavidyalaya, Bhopal, India (2008) with 77.23%.
  • B.E. in Electronics & Telecommunication Engineering from Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, India under Amravati University, India (2003) with 70.41%.
  • H.S.S.C. from Tiny Tots E. M. H. S. School, Seoni, India under M.P. Board (1997) with 69.11%.
  • H.S.C. from Gyan Jyoti E. M. H. S. School, Nainpur, India under M.P. Board (1995) with 61.80%.

PROFESSIONAL EXPERIENCE:

  • [List of positions held, institutions, and duration of each role if known. Example: “Assistant Professor at SR University, Warangal, India (2014-present).”]

RESEARCH FOCUS:

  • Statistical Image Processing: Developing and applying statistical methods for enhancing and interpreting images, focusing on improving image quality and extracting meaningful information.
  • Medical Image Processing: Utilizing advanced techniques to process and analyze medical images for better diagnosis, treatment planning, and monitoring of diseases.
  • Fuzzy Logic-based Applications in Signal and Image Processing: Applying fuzzy logic to handle uncertainties and imprecision in signal and image data, enhancing processing techniques and outcomes.
  • Soft Optimization Techniques in Signal and Image Processing: Implementing optimization methods to improve signal and image processing algorithms, making them more efficient and effective.

Coursera Certifications:

  • Introduction to Data Analytics (Completed on May 30, 2024)
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  • Data Visualization and Dashboards with Excel and Cognos (Completed on June 02, 2024)
    Verify Certificate
  • Statistical Analysis Fundamentals using Excel (Completed on June 07, 2024)
    Verify Certificate
  • Databases and SQL for Data Science with Python (Completed on June 08, 2024)
    Verify Certificate
  • Python for Data Science, AI & Development (Completed on June 08, 2024)
    Verify Certificate

Research Contributions:

  • Sharp Edge Feature Enhancement and Gaussian Noise Reduction: Achieved through singular value decomposition on optimal anisotropic diffused images.
  • Two-Phase Method for Image De-noising and Edge Preservation: Prior removal of impulsive noise before applying the diffusion process, providing better results in image de-noising and edge preservation.
  • Fuzzy-Based Diffusion Coefficient Function: Developed for anisotropic diffusion to selectively smooth impulsive noise without affecting edge-abundant areas of the image.
  • Gray Level Variance Controlled Anisotropic Diffusion Approach: Designed to enhance low gray level features of low contrast images.
  • Soft Computing-Based Optimization Techniques: Explored in anisotropic and non-local filtering for speckle reduction in medical ultrasound and X-ray images.

Top Publications:

  1. “Fuzzy C-Means Clustering based Selective Edge Enhancement Scheme for Improved Road Crack Detection”
    Authors: Munish Bhardwaj, Nafis Uddin Khan, Vikas Baghel
    Journal: Engineering Applications of Artificial Intelligence
    Impact Factor: 7.5
    ISSN: 1873-6769
    Year: 2024
    DOI: 10.1016/j.engappai.2024.108955
  2. “Road Crack Detection using Pixel Classification and Intensity based Distinctive Fuzzy C-Means Clustering”
    Authors: Munish Bhardwaj, Nafis Uddin Khan, Vikas Baghel
    Journal: The Visual Computer
    Impact Factor: 3.5
    ISSN: 0178-2789
    Year: 2024
    DOI: 10.1007/s00371-024-03470-8
  3. “Fuzzy based Self-Similarity Weight Estimation in Non-Local Means for Gray-Scale Image De-noising”
    Authors: Niveditta Thakur, Nafis Uddin Khan, Sunildatt Sharma
    Journal: Digital Signal Processing
    Impact Factor: 2.9
    ISSN: 1051-2004
    Volume: 147
    Article Number: 104397
    Year: 2024
    DOI: 10.1016/j.dhttps://doi.org/10.1007/s11042-020-08707-xsp.2024.104397
  4. “A Two Phase Ultrasound Image De-speckling Framework by Non-local Means on Anisotropic Diffused Image Data”
    Authors: Niveditta Thakur, Nafis Uddin Khan, Sunildatt Sharma
    Journal: Informatica: An International Journal of Computing and Informatics
    Impact Factor: 0.762
    ISSN: 0350-5596
    Volume: 47, No. 2
    Pages: 221 – 234
    Year: 2023
    DOI: 10.31449/inf.v47i2.4378
  5. “An Efficient Fuzzy Inference System based Approximated Anisotropic Diffusion for Image De-noising”
    Authors: Niveditta Thakur, Nafis Uddin Khan, Sunildatt Sharma
    Journal: Cluster Computing
    Impact Factor: 4.4
    ISSN: 1386-7857
    Volume: 25
    Pages: 4303 – 4323
    Year: 2022
    DOI: 10.1007/s10586-022-03642-y
  6. “A Review on Performance Analysis of PDE based Anisotropic Diffusion Approaches for Image Enhancement”
    Authors: Niveditta Thakur, Nafis Uddin Khan, Sunildatt Sharma
    Journal: Informatica: An International Journal of Computing and Informatics
    Impact Factor: 0.762
    ISSN: 0350-5596
    Volume: 45, No. 6
    Pages: 89 – 102
    Year: 2021
    DOI: 10.31449/inf.v44i6.3333
  7. “A New Fuzzy Rule based Pixel Organization Scheme for Optimal Edge Detection and Impulse Noise Removal”
    Authors: Nafis Uddin Khan, K. V. Arya
    Journal: Multimedia Tools and Applications
    Impact Factor: 3.6
    SNIP: 1.240
    SJR: 0.646
    ISSN: 1380-7501
    Volume: 79
    Pages: 33811 – 33837
    Year: 2020
    DOI: 10.1007/s11042-020-08707-x
  8. “An Energy Efficient Routing Protocol based on New Variable Data Packet Algorithm for Wireless Sensor Networks”
    Authors: Veervrat Singh, Rajiv Tripathi, Rahul Pachauri, Nafis Uddin Khan
    Journal: Recent Advances in Computer Science and Communications
    Impact Factor: 0.170
    ISSN: 1874-4796
    Volume: 13
    Pages: 353 – 361
    Year: 2019
    DOI: 10.2174/2213275912666190204125259
  9. “Two Stage Image De-noising and Edge Enhancement by SVD on Large Scale Heterogeneous Anisotropic Diffused Image Data”
    Authors: Nafis Uddin Khan, K. V. Arya
    Journal: Multimedia Tools and Applications
    Impact Factor: 3.6
    ISSN: 1380-7501
    Volume: 77
    Pages: 22543 – 22566
    Year: 2018
    DOI: 10.1007/s11042-018-6144-9
  10. “Edge Preservation of Impulse Noise Filtered Images by Improved Anisotropic Diffusion”
    Authors: Nafis Uddin Khan, K. V. Arya, Manisha Pattanaik
    Journal: Multimedia Tools and Applications
    Impact Factor: 3.6
    ISSN: 1380-7501
    Volume: 73
    Pages: 573-597
    Year: 2014
    DOI: 10.1007/s11042-013-1620-8

4o

Heba Ashour | Leadership and management | Best Researcher Award

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Assist Prof Dr. Heba Ashour | Leadership and management | Best Researcher Award

Assist Prof Dr. Heba Ashour, King Saud bin Abdulaziz University for Health Sciences, Alexandria university, Egypt

Dr. Heba Ashour is an Assistant Professor at the Nursing Administration Department, Faculty of Nursing, University of Alexandria, Egypt, since March 2023. She holds a Doctor of Nursing Science (2018) and a Master’s in Nursing Science (2013) from the same institution. Her research includes lean wastes in health services and organizational readiness for Lean system adoption. Dr. Ashour is an Associate Trainer at the Faculty & Leadership Development Center, Alexandria University. She holds an ICDL license and has completed multiple English language courses. Her expertise spans biostatistics, nursing informatics, and health education. 🏥📊👩‍🏫

 

Publication profile

Google Scholar

Education and Qualifications

Dr. Ashour earned her Doctor of Nursing Science (D.N.S) in 2018 from the University of Alexandria. Her dissertation focused on lean wastes in health services process flow and organizational readiness for Lean system adoption. She completed her Master of Nursing Science (M.Sc) in 2013 with a thesis on factors associated with nurses’ readiness for change. She graduated with an excellent honor from the Bachelor of Nursing Science (B.N.Sc) program in 2007.

Certifications

She has been an Associate Trainer (AT 108) at the Faculty & Leadership Development Center (FLDC), Alexandria University, since November 8, 2019, certified by the National Center for Faculty and Leadership Development (NCFLD). Dr. Ashour holds an ICDL International license and has completed advanced English language courses, scoring highly in exams at both the International British Institute and the Faculty of Nursing’s Language Center.

Professional Experience

Dr. Ashour began her career as a Demonstrator in 2008 and has progressed through roles including Assistant Lecturer and Lecturer. She also gained practical experience as a nurse intern at Alexandria University Hospitals and worked as a professional nurse in intensive care units at Al Salama Hospital.

 

Research Focus

Assist. Prof. Dr. Heba Ashour’s research primarily focuses on nursing management and leadership 🏥, emotional intelligence and work engagement 💡, and healthcare quality and patient satisfaction ⭐. Her studies explore brain drain among nurses 🌍, clinical leadership behaviors 🚑, and lean processes in healthcare ⚙️. Additionally, she examines ethical leadership and crisis management during the COVID-19 pandemic 🦠, entrepreneurship in nursing education 🎓, and workplace bullying 👥. Her work integrates risk management and infection control in healthcare settings 🧼.

 

Publication Top Notes

  • “Determinants and mitigating factors of the brain drain among Egyptian nurses: a mixed-methods study” 🧠
    Cited by: 34, Year: 2020
  • “The Relationship between Emotional Intelligence, Moral distress and Work Engagement as perceived by critical care Nurses” 💡
    Cited by: 14, Year: 2020
  • “Clinical leadership behaviors among critical care nurses in private and governmental hospital: A cross-sectional survey” 🚑
    Cited by: 7, Year: 2022
  • “Nurses’ Caring Behaviors as Perceived by Hospitalized Geriatric Patients and its Relation to their Satisfaction with the Quality of Nursing Care” ⭐
    Cited by: 6, Year: 2022
  • “Clinical Risk Management in Healthcare Organization as Perceived by Staff Nurses” ⚠️
    Cited by: 1, Year: 2021
  • “Crisis, ethical leadership and moral courage: Ethical climate during COVID-19” 🦠
    ,Year: 2022
  • “Lean Wastes in Health Services Flow: Development of an improvement Process” ⚙️
    Year: 2021
  • “The Relationship between Entrepreneurship Education, Entrepreneurial Intention and Career Aspiration Among Faculty of Nursing Students” 🎓
  • “The Relationship between Workplace Bullying and Nurses’ Perception of Organizational Justice” 👥
  • “Nurses’ Compliance with Infection Control Standard Precautions in Dialysis Units” 🧼

Assoc Prof Dr Ala’Dandis | Marketing | Best Researcher Award

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Assoc Prof Dr Ala’Dandis | Marketing | Best Researcher Award

Assoc Prof Dr Ala’Dandis, Princess Sumaya University for Technology, Jordan

Assoc. Prof. Dr. Ala’ Dandis is affiliated with Princess Sumaya University for Technology (PSUT) in Jordan. Dr. Dandis is an accomplished academic and researcher, specializing in technology and engineering. At PSUT, he has made significant contributions to the development of innovative technologies and has played a crucial role in advancing the university’s research capabilities. His work focuses on integrating cutting-edge technological solutions to address contemporary challenges in various industries.

Profile

Google scholar

Education

  • Ph.D. in Marketing – University of Huddersfield, UK, 2016
  • M.Sc. in Marketing – University of Jordan, 2006
  • B.Sc. in Marketing – University of Jordan, 2003

Professional experience

  • Assistant Professor – E-Marketing and Social Media Department
    Princess Sumaya University for Technology (PSUT), Amman, Jordan
    September 2023 – Present
  • Associate Professor – Digital Marketing Department
    Applied Science Private University, Amman, Jordan
    November 2021 – September 2023
  • Assistant Professor – Marketing Department
    Applied Science Private University, Amman, Jordan
    September 2016 – November 2021
  • Full-time Lecturer – Marketing Department
    Mutah University, Al Karak, Jordan
    September 2008 – March 2013
  • Part-time Lecturer – Business Administration Department
    Princess Sumaya University for Technology (PSUT), Amman, Jordan
    July 2012 – September 2012
  • Site Coordinator
    NYIT University, Amman, Jordan
    November 2007 – August 2008

Research focus: Marketing

Dr. Dandis’s research interests include digital marketing, e-marketing, social media marketing, consumer behavior, and the application of technology in marketing strategies. His work focuses on the integration of digital tools and platforms to enhance marketing practices and improve consumer engagement.

Recent Research Submissions:

  • 2023: “The Social Dimension of The Circular Economy, a Review Towards a Comprehensive Narrative.” (Submitted)
  • 2023: “Social Marketing Strategy: The Impact of Firm Generated Content on Customer Based Brand Equity in Retail Industry.” (Submitted)
  • 2023: “Does the Quality of Employee Innovation Matter in the UK Hotel Industry? The Mediating Role of Psychological Safety.” (Submitted)
  • 2023: “Factors Influencing the Intention to Visit and Revisit Jordanian Touristic Destinations Using Jannah Jo Application: The Role of E-WOM.” (Submitted)
  • 2023: “Exploring Public Voice on Social Media: Twitter Users’ Views on Circular Economy.” (Submitted)
  • 2023: “An Exploratory Study on Factors Affecting Public Acceptance of The Circular Economy Services.” (Submitted)
  • 2023: “The Role of Marketing in Influencing Entrepreneurial Intentions Among Students in Higher Education Institutions.” (Submitted)

Publication Top Notes

  • 2023: Al Abdallah, G., Helal, R., Dandis, A.O., Wright, (2023). “Differences in How Leaders and Employees View Organizational Changes: Lessons from an International Multicultural Context.” Cogent Business & Management, 10(2), 2228028. (ABS (1), Scopus Q2)
  • 2023: Rabah, H. A., Dandis, A. O., Eid, M. A. H., Tiu Wright, L., Mansour, A., & Mukattash, I. L. (2023). “Factors influencing electronic word of mouth behavior in higher education institutions.” Journal of Marketing Communications, 1-25. (ABS (1), ABDC (B), Scopus Q1)
  • 2023: Dandis, A. O., Al Haj Eid, M., Griffin, D., Robin, R., & Ni, A. K. (2023). “Customer lifetime value: The effect of relational benefits, brand experiences, quality, satisfaction, trust and commitment in the fast-food restaurants.” TQM Journal. (Accepted, ABS (1), ABDC (B), Scopus Q1)
  • 2022: Dandis, A. O., Wallace-Williams, D. M., Arnt, A., Tiu Wright, L., & Abusiam, Y. (2022). “The Effect of Brand Experiences and Relational Benefits on Loyalty in the Fast-Food Restaurants.” TQM Journal. (Accepted, ABS (1), ABDC (B), Scopus Q1)
  • 2022: Al Abdallah, G., Dandis, A.O., & Al Haj Eid, M. B. (2022). “The Impact of Instagram Utilization on Brand Management: An Empirical Study on the Restaurants Sector in Beirut.” Journal of Foodservice Business Research, 1-33. (ABS (1), ABDC (C), Scopus Q2)
  • 2022: Wallace-Williams, D. M., Tiu Wright, L., & Dandis, A. O. (2022). “Social norms, cues and improved communication to influence behaviour change of smokers.” Journal of Marketing Communications, 29(3), 288-313. (ABS (1), ABDC (B), Scopus Q1)
  • 2022: Robin, R., & Dandis, A. O. (2022). “Business as usual through contact tracing app: What influences intention to download?” Journal of Marketing Management, 37(17-18), 1903-1932. (ABS (2), ABDC (A), Scopus Q1)
  • 2021: Dandis, A. O., Al Haj Eid, Mohammad Badi’. (2022). “Customer lifetime value: Investigating the factors affecting attitudinal and behavioural brand loyalty.” TQM Journal, 34(3), 476-493. (Applied Scopus Q1, ABS (1), ABDC (B))
  • 2021: Dandis, A. O., Al Haj Eid, Mohammad Badi’, Robin, R., & Wierdak, N. (2022). “An empirical investigation of the factors affecting customer lifetime value.” The International Journal of Quality & Reliability Management, 39(4), 910-935. (Applied Scopus Q1, ABS (2), ABDC (B))
  • 2021: Dandis, A. O., Jarrad, A. A., Joudeh, J. M. M., Mukattash, I. L., & Hassouneh, A. G. (2022). “The effect of multidimensional service quality on word of mouth in university on-campus healthcare centers.” TQM Journal, 34(4), 701-727. (Applied Scopus Q1, ABS (1), ABDC (B))
  • 2021: Dandis, A. O., Wright, L. T., Wallace-Williams, D. M., Mukattash, I., Al Haj Eid, M., & Cai, H. (2021). “Enhancing consumers’ self-reported loyalty intentions in Islamic banks: The relationship between service quality and the mediating role of customer satisfaction.” Cogent Business & Management, 8(1), 1892256. (Applied Scopus Q2, ABS (1))
  • 2020: Dandis, A. O., & Wright, L. T. (2020). “The effects of CARTER model on attitudinal loyalty in Islamic Banks.” International Journal of Quality and Service Sciences, 12(2), 149-171. (Applied Scopus Q1, ABS (1), ABDC (B))
  • 2021: Bilisbekov, N., Sarfo, C., Dandis, A. O., & Eid, M. A. (2021). “Linking bank advertising to customer attitudes: The role of cognitive and affective trust.” Management Science Letters, 11(4), 1083-1092. (Applied Scopus Q2)
  • 2021: Mugenia, P., Sarfob, C., Dandis, A. O., Eid, M. A., and Abou-Moghli, A. (2021). “Does Executive Compensation Dispersion Affect Firm Performance: The Moderating Role of Technology Intensity.” International Journal of Innovation, Creativity and Change, 15(3), 438-468. (Applied NA)
  • 2021: Abou-Moghli, A., & Dandis, A. (2021). “The association between entrepreneurship, management, and sustainable development in the middle east: A systematic review and meta-analysis.” Management Science Letters, 2091-2098. (Applied NA)
  • 2018: Joudeh, J. M., & Dandis, A. (2018). “Service Quality, Customer Satisfaction and Loyalty in an Internet Service Providers.” International Journal of Business and Management, 13(8), 108-120.

 

 

Shikun Ge | Engineering antibody | Excellence in Academia Award

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Dr. Shikun Ge | Engineering antibody | Excellence in Academia Award

Dr. Shikun Ge, University of Minho, Portugal

Dr. Shikun Ge, born on May 6, 1990, in China, is a distinguished researcher in immunology, biochemistry, and veterinary medicine. Currently pursuing a PhD in Biology at the University of Minho, Dr. Ge has previously earned a Master in Veterinary Medicine from South China Agricultural University and a Bachelor in Veterinary Medicine from Liaocheng University. Her expertise spans immunization, antibody engineering, and veterinary infectious diseases. An accomplished scientist, she has received accolades such as the International Young Scientist Award (2023) and has published extensively on innovative antibody technologies.

Publication Profile

Google Scholar

🎓 Education and Training

Shikun Ge, born on May 6, 1990, in China, is a PhD candidate in Biology at the University of Minho since July 2019. He holds a Master’s in Veterinary Medicine from South China Agricultural University (2018) and a Bachelor’s in Veterinary Medicine from Liaocheng University (2015).

🏅 Honours and Awards

Ge has received the International Young Scientist Award (2023) and was recognized in the Frontrunner 5000 Top Articles in Outstanding S&T Journals of China (2021).

Research Focus

Dr. Shikun Ge’s research primarily focuses on veterinary medicine, immunology, and infectious diseases. Her work encompasses animal disease models, antibody engineering, phage display technology, and immunization. Dr. Ge has made significant contributions in diagnosing and neutralizing canine parvovirus using IgY-scFv, developing anti-SARS-CoV-2 antibodies, and characterizing porcine pestivirus infections. Additionally, her research includes the evaluation of IgY preparation methods and the expression of inflammation-related genes. Her diverse expertise and innovative approaches in antibody generation highlight her impact on veterinary infectious diseases and immunological studies. 📚🔍

 

Publication Top Notes

  • Identification of atypical porcine pestivirus infection in swine herds in China – 58 citations, 2017 🌐
  • Canine Parvovirus is diagnosed and neutralized by chicken IgY-scFv generated against the virus capsid protein – 25 citations, 2020 🐕
  • Specific anti-SARS-CoV-2 S1 IgY-scFv is a promising tool for recognition of the virus – 18 citations, 2022 🦠
  • Expression of inflammation-related genes in the lung of BALB/c mice response to H7N9 influenza A virus with different pathogenicity – 9 citations, 2016 🧪
  • Evaluation of different IgY preparation methods and storage stability as potential animal feed supplement – 8 citations, 2020 🥚
  • Expression profile and tissue-specific distribution of the receptor-interacting protein 3 in BALB/c mice – 7 citations, 2016 🧬
  • Distinct expression profile and histological distribution of NLRP3 inflammasome components in the tissues of Hainan black goat suggest a site-specific role in the inflammatory response – 6 citations, 2017 🐐
  • The domestic hen – 5 citations, 2021 🐓
  • Generation and evaluation of anti-mouse IgG IgY as secondary antibody – 4 citations, 2020 🐭
  • Generation and evaluation of IgY-scFv based mimetics against canine parvovirus – 3 citations, 2021 🦠
  • Immunization of hens – 1 citation, 2021 🐔
  • Chimerism of avian IgY‐scFv and truncated IgG‐Fc: A novel strategy in cross‐species antibody generation and enhancement – 2024 🦢

Enguo Cao | Health Professions | Best Researcher Award

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Enguo Cao | Health Professions | Best Researcher Award

Prof Dr Enguo Cao, Jiangnan University, China

Prof. Cao Enguo 🧑‍🏫 is a distinguished professor and doctoral supervisor at Jiangnan University, China. With a Ph.D. from Japan, he leads the Intelligent Interaction Design Laboratory and serves as deputy director of the Key Laboratory of China Light Industry. His research focuses on intelligent product design and human biomimetic interaction, resulting in over 30 papers and 20+ patents. He has led numerous research projects, including grants from the National Natural Science Foundation of China. Prof. Cao has earned several accolades, including the Yoneyama Rotary Memorial Award and the title of “Top Six Talent Peaks” in Jiangsu Province. 🌟🔬📚

Publication profile

Scopus

Research Interests

Intelligent Interaction System Design focuses on creating advanced systems that enhance user experiences through smart and responsive technology. This field encompasses the development of interactive interfaces that adapt to user needs, leveraging artificial intelligence and machine learning to offer intuitive and personalized interactions. The goal is to build systems that not only respond to user inputs but also predict and adapt to their preferences, providing a seamless and engaging experience. Such designs are pivotal in various applications, from smart home devices to sophisticated customer service bots, aiming to make technology more accessible and user-friendly.

Research focus

Dr. Enguo Cao’s research primarily focuses on wearable health devices, exoskeleton design, and user experience in robotics. His work includes designing and evaluating various types of exoskeletons for rehabilitation and mobility enhancement, such as passive lower limb exoskeletons and multi-resiliency models. He also explores the integration of emotional and social factors into user experience, aiming to improve interaction with automated systems and devices. His contributions include studies on the physiological effects of exoskeletons during physical activities and data-driven frameworks for predicting user expectations. His research is crucial for advancing assistive technologies and enhancing their practical application. 🤖🦵📊

Publication top notes

User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023

Multi-motion Compound Passive Lower Limb Exoskeleton Design and Its Intelligent Interaction Evaluation 

Design and evaluation of a double rope rehabilitation robot for sit-to-stand training

Exploring the Positive User Experience Possibilities Based on Produc

Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion

A Data-Driven Expectation Prediction Framework Based on Social Exchange Theory

Design and performance evaluation of gravitational potential energy locking exoskeleton 

Design of cyber-physical-social systems with forensic-awareness based on deep learning

Design and optimization of a passive exoskeleton mechanical foot

 

 

 

Souhail Dhouib | Artificial Intelligence | Best Researcher Award

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Dr. Ibrahim Ben Razek | Neurologie | Best Scholar Award

Dr of Université de Liège, Belgium

Ben Razek Ibrahim is a 4th-year medical resident in neurology with a robust educational background and diverse professional experience across Belgium and Switzerland. 🏥🧠 He holds a medical degree from Université de Liège and specialized qualifications in headaches and migraines from Universités de Paris et Montpellier, as well as advanced epilepsy courses. 📚 His dedication to neurology is reflected in his research and clinical practice, focusing on epilepsy and headache disorders. ✍️🔍 In addition to his clinical skills, Ben is known for his critical thinking, communication, empathy, attention to detail, and autonomy. 🌟💬❤️ His work on cravings for Swiss chocolate has been recognized in the Annals of Neurology. 🍫📜

Profile

Scopus

Education

  • Medical Degree: Université de Liège, Belgium (September 2014 — June 2020)
  • Degree in Headaches and Migraine: Universités de Paris et Montpellier (September 2022 — June 2023)
  • Advanced Courses in Epilepsy: Ligue francophone belge d’épileptologie (September 2021 — June 2023)

Experience

Ben Razek Ibrahim is a dedicated 4th-year medical resident specializing in neurology. His medical journey began at CHU de Liège, Belgium, where he gained extensive experience in general neurology under the guidance of Pr Maquet P. from October 2020 to September 2021. He then continued his residency at CHR Citadelle, Belgium, working in the general neurology unit and focusing on nerve and muscle diseases with Pr Maertens De Noordhout A. from October 2021 to September 2022. His journey took him to the Hôpitaux Universitaires de Genève, Switzerland, where he specialized in pre-surgical epilepsy under Pr Seeck M. and Pr Picard F. from October 2022 to September 2023. Currently, he is continuing his residency at CHU de Liège, Belgium.

Research Interests

Ben is passionate about neurology, with a particular focus on epilepsy, headaches, and migraines. His research interests have led to notable scientific contributions, including his publication on the newly developed craving for Swiss chocolate, accepted in the Annals of Neurology.

Awards

While specific awards are not mentioned, Ben’s published research in the Annals of Neurology is a significant achievement that reflects his contributions to the field of neurology. His work demonstrates his commitment to advancing knowledge in neurological disorders and his ability to conduct impactful research.

Publication Top Notes

  1. Research Focus: The publication explores an intriguing case of a newly developed craving for Swiss chocolate, contributing to the broader understanding of cravings and their neurological implications.
  2. Authors’ Contribution:
    • Ibrahim Ben Razek: Contributed as a lead author, showcasing his expertise in neurology and research.
    • Maria Isabel Vargas: Collaborated on the study, adding her knowledge and insights.
    • Daniel S. Schechter: Provided critical analysis and support in the research.
    • Margitta Seeck: Offered expertise and guidance, particularly in the context of epilepsy and neurological disorders.
  3. Institutional Context: Conducted at the University Hospital of Geneva and Faculty of Medicine, highlighting the high caliber of the research environment and the expertise of the contributing institutions.
  4. Significance: This publication adds valuable knowledge to the field of neurology, particularly in understanding the complexities of cravings and their potential neurological basis.
  5. Impact: Acceptance in a prestigious journal like Annals of Neurology underscores the quality and relevance of the research, potentially influencing future studies and clinical practices related to cravings and neurological conditions.