Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

Assistant Professor at king fahd university of petroleum and minerals, Saudi Arabia

Assist. Prof. Dr. Ammar Alsheghri is a distinguished academic and researcher specializing in materials and mechanical engineering. He currently serves as an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. Dr. Alsheghri earned his Ph.D. in Materials Engineering from McGill University, Canada, in 2020, following his Master’s in Mechanical Engineering from Khalifa University in collaboration with MIT, and a Bachelor’s degree from Khalifa University, UAE. His research spans bioinspired materials design, geometric deep learning, and the optimization of materials for prosthetics and medical applications. He has extensive experience in academia and industry, contributing to innovative projects and holding patents in dental restoration technologies. Dr. Alsheghri’s work is highly recognized through numerous fellowships, scholarships, and awards for research excellence.

Profile:

Education:

Assist. Prof. Dr. Ammar Alsheghri holds a Ph.D. in Materials Engineering from McGill University, Canada, which he completed in May 2020 with a perfect GPA of 4.0/4.0. During his Ph.D., he was awarded the prestigious Graduate Excellence Fellowship. He earned his Master of Science in Mechanical Engineering from the Masdar Institute of Science and Technology, Khalifa University, UAE, in collaboration with the Massachusetts Institute of Technology (MIT), USA, in May 2015, also achieving a GPA of 4.0/4.0. Dr. Alsheghri obtained his Bachelor of Science in Mechanical Engineering from Khalifa University, UAE, in June 2013, graduating with the highest honors and an impressive GPA of 3.98/4.0.

Professional Experience:

Assist. Prof. Dr. Ammar Alsheghri has an extensive professional background in both academia and industry. Currently, he is an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, a position he has held since August 2023. Prior to this, he served as a Postdoctoral Fellow at Polytechnique Montreal from 2020 to 2022, where he worked on geometric deep learning for dental applications, collaborating with industrial partners to develop customized dental crowns. Dr. Alsheghri also contributed as a Research Assistant at McGill University from 2015 to 2020, where his thesis focused on bioinspired design and optimization of materials for dentures and cellular structures. He has previous experience as a Research Assistant at Masdar Institute of Khalifa University, working on self-healing materials using finite element analysis. In addition to his academic roles, Dr. Alsheghri has substantial industrial experience. He was a Technology Developer at Dragonfly, part of the Comet Group, from 2022 to 2023, focusing on AI-driven scientific imaging and software development. He also worked as a Research & Development Consultant and Intern at Dragonfly, leading projects involving artificial intelligence for material image processing and mechanical properties analysis. His industry roles also include an internship at Diehl Aircabin GmbH in Germany, where he performed stress analysis for the Airbus A380 ceiling and assisted with composite material testing.

Research Interests:

Assist. Prof. Dr. Ammar Alsheghri’s research interests are deeply rooted in the intersection of materials engineering, mechanical engineering, and cutting-edge technologies such as artificial intelligence. His work focuses on bioinspired design and optimization of materials, particularly for dental applications, including the development of dentures and customized prosthetic structures. Dr. Alsheghri is also highly engaged in the field of geometric deep learning, specifically 3D deep learning for applications in dental segmentation and the generation of dental crowns from scanned dental arches. His expertise extends to self-healing materials, mechanics modeling, and finite element analysis (FEA), which he has applied to enhance the structural properties of materials. Additionally, he is interested in AI-driven image processing and computational mechanics, applying these techniques to scientific imaging and material analysis, with the aim of optimizing mechanical properties and structures for various engineering applications.

Skills:

Assist. Prof. Dr. Ammar Alsheghri possesses a diverse and advanced skill set that spans both academia and industry. He is highly proficient in materials engineering, with expertise in bioinspired design and optimization of materials, specifically for dental and prosthetic applications. Dr. Alsheghri excels in finite element analysis (FEA) and computational mechanics, which he has applied to projects involving self-healing materials and lightweight structures. He is also skilled in computer-aided design (CAD) and 3D modeling, having worked on the design and development of dental prostheses and optimized cellular structures. In addition, Dr. Alsheghri has strong capabilities in artificial intelligence, particularly in geometric deep learning and 3D deep learning, which he has applied to the segmentation of dental structures and the design of customized dental crowns. He is experienced in data analysis, image processing, and the use of AI for scientific imaging. His skills in laboratory testing and materials characterization complement his technical expertise, allowing him to contribute to multidisciplinary research and development efforts.

Conclusion:

With an outstanding academic record, a strong research portfolio, multiple patents, and a track record of successful collaborations in both academia and industry, Dr. Ammar Alsheghri stands out as a highly qualified candidate for the Best Researcher Award. His interdisciplinary expertise, particularly in materials engineering, AI, and bioinspired design, positions him as a leader in advancing research and technology in both mechanical and biomedical engineering fields.

Publication Top Noted:

  • Removable partial denture alloys processed by laser‐sintering technique
    • Authors: O Alageel, MN Abdallah, A Alsheghri, J Song, E Caron, F Tamimi
    • Journal: Journal of Biomedical Materials Research Part B: Applied Biomaterials
    • Volume/Issue: 106(3)
    • Pages: 1174-1185
    • Year: 2018
    • DOI: 10.1002/jbm.b.33910
  • Design and cost analysis of a solar photovoltaic powered reverse osmosis plant for Masdar Institute
    • Authors: A Alsheghri, SA Sharief, S Rabbani, NZ Aitzhan
    • Journal: Energy Procedia
    • Volume: 75
    • Pages: 319-324
    • Year: 2015
    • DOI: 10.1016/j.egypro.2015.07.439
  • Finite element implementation and application of a cohesive zone damage-healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Engineering Fracture Mechanics
    • Volume: 163
    • Pages: 1-22
    • Year: 2016
    • DOI: 10.1016/j.engfracmech.2016.05.020
  • High strength brushite bioceramics obtained by selective regulation of crystal growth with chiral biomolecules
    • Authors: H Moussa, W Jiang, A Alsheghri, A Mansour, A El Hadad, H Pan, R Tang, …
    • Journal: Acta Biomaterialia
    • Volume: 106
    • Pages: 351-359
    • Year: 2020
    • DOI: 10.1016/j.actbio.2020.01.004
  • Composition and characteristics of trabecular bone in osteoporosis and osteoarthritis
    • Authors: I Tamimi, ARG Cortes, JM Sánchez-Siles, JL Ackerman, …
    • Journal: Bone
    • Volume: 140
    • Pages: 115558
    • Year: 2020
    • DOI: 10.1016/j.bone.2020.115558
  • Thermodynamic-based cohesive zone healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Mechanics Research Communications
    • Volume: 70
    • Pages: 102-113
    • Year: 2015
    • DOI: 10.1016/j.mechrescom.2015.09.007
  • Determining the retention of removable partial dentures
    • Authors: O Alageel, AA Alsheghri, S Algezani, E Caron, F Tamimi
    • Journal: Journal of Prosthetic Dentistry

Enas Alqodsi | Artificial Intelligence | Top Researcher Award

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Dr. Enas Alqodsi | Artificial Intelligence | Top Researcher Award

Assistant professor of private law at United Arab Emirates University, Ukraine

Summary:

Dr. Enas Mohammed Alqodsi is an accomplished legal scholar and educator with over 20 years of experience in civil law. She is currently an Associate Professor at the College of Law, United Arab Emirates University. Dr. Alqodsi has previously held significant positions, including General Coordinator of the College of Law at UAEU and Associate Professor of Civil Law at Abu Dhabi University and Palestine University. Additionally, she served as a Legal Advisor for the Supreme Court and the Supreme Judicial Council in Palestine. Dr. Alqodsi has an impressive research portfolio, having published 21 papers in international peer-reviewed journals listed in Scopus and authored four books. She has actively participated in six international conferences and has secured research grants from prestigious institutions. In her teaching career, Dr. Alqodsi has taught numerous undergraduate and graduate courses, supervised multiple Master’s theses, and guided over 100 undergraduate research projects. She has also contributed significantly to academic service by serving on various university committees, organizing workshops, and reviewing papers for Scopus-indexed journals.

Profile:

Education:

Dr. Enas Mohammed Alqodsi holds an impressive educational background that has laid a solid foundation for her distinguished career in law. She earned her Ph.D. in Civil Law from Cairo University, where she conducted extensive research and produced significant scholarly work. Prior to her doctoral studies, Dr. Alqodsi completed her Master’s degree in Civil Law at the same institution, demonstrating a consistent commitment to academic excellence and legal scholarship. Her educational journey began with a Bachelor’s degree in Law from Al-Quds University, where she graduated with honors. This diverse and rigorous academic training has equipped Dr. Alqodsi with profound expertise and a deep understanding of civil law, enabling her to contribute significantly to both academia and legal practice.

Professional Experience:

Dr. Enas Mohammed Alqodsi boasts over 20 years of extensive professional experience in the field of law. She is currently serving as an Assistant Professor at the College of Law, United Arab Emirates University. She has previously held the position of Associate Professor and General Coordinator at the College of Law, Abu Dhabi University. Dr. Alqodsi also served as a Professor of Civil Law at the College of Law and Judicial Practices, Palestine, and worked as a Legal Advisor for the Supreme Court, Higher Judicial Council in Palestine. Her academic contributions include teaching 18 undergraduate and 5 master’s courses in law, supervising 8 master’s theses and over 109 undergraduate research projects, and publishing 21 research papers in international peer-reviewed journals indexed in Scopus. Additionally, she has authored 4 books and presented at 6 international conferences. Dr. Alqodsi’s extensive service record includes chairing and participating in 43 committees at Abu Dhabi University and UAE University, reviewing 28 research papers for Scopus-indexed journals, and organizing 43 workshops for educational and academic purposes.

Research Interest:

Dr. Enas Mohammed Alqodsi’s research interests span various critical aspects of civil law. She has a profound focus on the intricacies of contractual obligations, liability, and compensation within civil law frameworks. Dr. Alqodsi is also deeply invested in exploring the intersections of civil law with human rights, aiming to enhance the legal protections available to individuals. Her work often delves into the comparative analysis of legal systems, evaluating how different jurisdictions approach similar legal issues. Furthermore, she is interested in the legal aspects of technological advancements and their impact on civil law. Dr. Alqodsi’s extensive publication record and active participation in international conferences underscore her commitment to advancing legal scholarship and contributing to the development of civil law.

Award and Honors:

Dr. Enas Mohammed Alqodsi has received numerous awards and honors throughout her distinguished academic and professional career. She has been recognized for her outstanding contributions to legal scholarship and education with several accolades, including the Best Researcher Award from the United Arab Emirates University and the Excellence in Teaching Award from Abu Dhabi University. Her innovative research has garnered financial support from prestigious institutions, including multiple research grants from both Abu Dhabi University and the United Arab Emirates University. Additionally, Dr. Alqodsi has been honored for her exceptional service and leadership within the academic community, serving on numerous committees and contributing to the organization of international conferences. Her recognition as a leading legal scholar is further evidenced by her inclusion in prominent academic databases such as Scopus and her membership in the editorial boards of several esteemed legal journals.

Research Skills:

Dr. Enas Mohammed Alqodsi possesses a comprehensive set of research skills honed over years of academic and professional experience. She excels in legal research, with a particular focus on civil law. Her expertise includes the ability to conduct in-depth legal analysis and interpretation, draft detailed and precise legal documents, and apply various legal theories to real-world cases. Dr. Alqodsi is proficient in utilizing advanced research methodologies and tools, including qualitative and quantitative analysis, which enables her to produce rigorous and impactful research. Her experience is demonstrated by her extensive publication record, including 21 peer-reviewed articles in international journals indexed in Scopus, and the authorship of four books. She is skilled in securing research funding, having successfully obtained financial support for her research projects from prestigious institutions such as Abu Dhabi University and the United Arab Emirates University. Additionally, Dr. Alqodsi has a proven track record of presenting her research at international conferences, contributing to the global discourse on civil law. Furthermore, Dr. Alqodsi is adept at supervising and mentoring students in their research endeavors, having supervised numerous master’s theses and undergraduate research projects. Her editorial skills are also notable, as she serves on the editorial boards of several respected legal journals, where she reviews and evaluates research submissions, ensuring the quality and integrity of published work.

Publication:

Teacher Civil Liability in the Case of Breaching Educational and Control Obligations

  • Authors: E. Alqodsi
  • Book/Chapter: Restructuring Leadership for School Improvement and Reform
  • Pages: 327-338
  • Year: 2023

Legal Protection of the Right to Education for People with Special Needs: Zayed Higher Organization for People of Determination as a Model

  • Authors: E.M. Alqodsi, S.A. Aljahoori
  • Book/Chapter: Inclusive Phygital Learning Approaches and Strategies for Students With…
  • Pages: 14
  • Year: 2023

Technology-Enhanced Legal Education: A Study of Its Impact on Student Learning Outcomes in the UAE

  • Authors: E.M. Alqodsi, I.M. Jadalhaq, M.E.H. Maknouzi
  • Book/Chapter: Innovations in Teacher Development, Personalized Learning, and Upskilling
  • Pages: 14
  • Year: 2023

Civil Liability for Misuse of Online Communication through Websites: An Analytical Study of UAE Law

  • Authors: I.M. Jadalhaq, E.M. Alqodsi
  • Journal: Information & Communications Technology Law
  • Volume: 27
  • Issue: 3
  • Pages: 284-303
  • Year: 2018

The Right to Pre-Contractual Information in E-Commerce Consumer Contracts: UAE Law and Comparative Perspectives

  • Authors: E.M. Alqodsi
  • Journal: J. Legal Ethical & Regul. Isses
  • Volume: 24
  • Pages: 1
  • Year: 2021

High Tech and Legal Challenges: Artificial Intelligence-Caused Damage Regulation

  • Authors: E.M. Alqodsi, D. Gura
  • Journal: Cogent Social Sciences
  • Volume: 9
  • Issue: 2
  • Pages: 2270751
  • Year: 2023

Islamic Commercial Arbitration and Private International Law: Mapping Controversies and Exploring Pathways towards Greater Coordination

  • Authors: M.E.H. El Maknouzi, I.M. Jadalhaq, I.E. Abdulhay, E.M. Alqodsi
  • Journal: Humanities and Social Sciences Communications
  • Volume: 10
  • Issue: 1
  • Pages: 1-8
  • Year: 2023

A Systematic Reviews and Meta-Analyses of Interruption of the Statute of Limitations for Civil Claims: A Comparative Study of Arab Legislations

  • Authors: I.M. Jadalhaq, I.E. Abdulhay, E.M. Alqodsi, M.E.H. El Maknouzi
  • Journal: Heliyon
  • Volume: 9
  • Issue: 6
  • Year: 2023

Analyzing the Implementation of Usufruct Rights and Obligations in the UAE Civil Transactions Law

  • Authors: E.M. Alqodsi
  • Journal: International Journal of Criminal Justice Sciences
  • Volume: 16
  • Issue: 2
  • Year: 2021

Tort Law Makes a Quantum Leap: A Review of the Civil Liability Regime for Nuclear Operators in UAE Law

  • Authors: I.M. Jadalhaq, E.M. Alqodsi
  • Journal: Journal of Property, Planning and Environmental Law
  • Volume: 13
  • Issue: 1
  • Pages: 17-30
  • Year: 2021

 

Manisha Kasar | Artificial Intelligence Award | Women Researcher Award

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Dr. Manisha Kasar, Artificial Intelligence Award, Women Researcher Award

Doctorate at Bharti Vidyapeeth Deemed to be University college of Engineering, Pune, India

Dr. Manisha Kasar is a highly motivated and goal-oriented professional in the field of Information Technology (IT) and Computer Engineering. With extensive experience and expertise in her field, she has demonstrated exceptional skills in research, academia, and administration. Driven by a passion for learning and innovation, she has completed her Ph.D. in IT from Bharti Vidyapeeth College of Engineering, Pune, and holds a Master’s degree (M.Tech) in Computer Engineering from MPSTME, NMIMS, Shirpur campus.

Profile:

Education:

Ph.D. in Information Technology

  • Specialization: Information Technology
  • Institute: Bharti Vidyapeeth College of Engineering, Pune
  • University/Board: Bharti Vidyapeeth University, Pune
  • Year of Passing: 2021
  • Grade: Not specified

M.Tech in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: MPSTME, NMIMS, Shirpur campus
  • University/Board: NMIMS
  • Year of Passing: 2014
  • Grade: 3.42 out of 4.00

B.E. in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: S.S.V.P.S’s College of Engineering, Dhule
  • University/Board: N.M.U.
  • Year of Passing: 2009
  • Grade: Distinction (Highest Grade)
  • Percentage: 66.86%

D.C.E in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: S.S.V.P.S’s College of Engineering & Polytechnic, Dhule
  • University/Board: M.S.B.T.E
  • Year of Passing: 2006
  • Grade: First
  • Percentage: 67.84%

H.S.C (Science)

  • Institute: S.S.V.P.S. College, Dhule
  • Board: NASIK
  • Year of Passing: 2003
  • Grade: Second
  • Percentage: 52.33%

Professional Experience:

Dr. Manisha Kasar has a rich professional experience spanning over 11 years in the field of Computer Engineering. Her journey began with her role as a Visiting Faculty at Bharti Vidyapeeth College of Engineering, Pune, where she contributed from October 2nd, 2020, to June 30th, 2021. Following this, she served as an Assistant Professor at Vishwakarma Institute of Information Technology, Pune, from July 1st, 2021, to September 30th, 2021. Currently, Dr. Kasar holds the position of Assistant Professor at Bharti Vidyapeeth College of Engineering, Pune, starting from October 1st, 2021, to the present date. Throughout her career, she has demonstrated a strong commitment to academic excellence, research innovation, and student mentorship.

Research Interest:

Dr. Manisha Kasar’s research interests lie at the intersection of computer engineering and information technology, focusing on various domains within artificial intelligence (AI), machine learning (ML), and computer vision. Her work primarily revolves around the development and application of advanced algorithms, particularly Convolutional Neural Networks (CNNs), for tasks such as image processing, facial recognition, and traffic signal detection. Additionally, she explores the potential of blockchain technology in e-commerce and secure transactions, as well as its implications for other industries. Dr. Kasar is also involved in research related to human disease prediction using machine learning techniques, aiming to leverage real-life parameters for accurate prognostication. Furthermore, her research extends to automation and optimization in video surveillance systems, comparative analysis of facial emotion recognition techniques, and the development of algorithms for facial landmark detection and feature point extraction. Overall, Dr. Kasar’s diverse research interests underscore her commitment to advancing computer engineering through innovative interdisciplinary research endeavors.

Publication Top Noted:

Human Disease Prediction using Machine Learning Techniques and Real-life Parameters
  • Authors: K Gaurav, A Kumar, P Singh, A Kumari, M Kasar, T Suryawanshi
  • Journal: International Journal of Engineering
  • Volume: 36
  • Issue: 6
  • Pages: 1092-1098
  • Year: 2023
  • Grade: 3

Comparison of Multi-View Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation

  • Authors: MJ Kasar, NS Choubey
  • Journal: International Journal of Computer Applications
  • Volume: 975
  • Pages: 8887
  • Year: 2014
  • Grade: 2

Blockart: The Blockchain Solution to E-Commerce

  • Authors: S Deshmukh, S Chaudhary, Y Kulkarni, G Bhole, S Jadhav, …
  • Journal: Eur. Chem. Bull
  • Volume: 12
  • Pages: 5505-5513
  • Year: 2023
  • Grade: 1

A Comparative Study of Interior Designing Using Markerless Augmented Reality

  • Authors: R Gudlavalleti, A Pandey, M Malviya, S Gandhi, M Kasar
  • Journal: Not provided
  • Pages: 1
  • Year: 2022

Study and Analysis of Facial Landmark Detection Techniques

  • Authors: MM Kasar, SH Patil
  • Journal: Solid State Technology
  • Volume: 63
  • Issue: 6
  • Pages: 13465-13481
  • Year: 2020
  • Grade: 1