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

Kiran Ravulakollu | Machine Learning | Best Researcher Award

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Prof Dr. Kiran Ravulakollu | Machine Learning | Best Researcher Award

Dean at Woxsen University, India.

Prof. Dr. Kiran Ravulakollu is currently the Dean and Professor at the School of Technology at Woxsen University, Kamkole, Telangana, where he has played a pivotal role in establishing the school since 2021. He also serves as the Director of Research and Development at the same institution. With a strong academic background, Dr. Ravulakollu holds a Ph.D. in Computer Science from the University of Sunderland, UK, and has extensive teaching and research experience in areas such as artificial intelligence, image processing, and hybrid intelligent systems. Throughout his career, he has held various academic positions, including Assistant Dean of Research at the University of Petroleum and Energy Studies and has been instrumental in developing research ecosystems that foster collaboration and innovation. His contributions to the field are evident in his impressive publication record, with over 879 publications and numerous patents. An active participant in research advisory committees and academic councils, Dr. Ravulakollu is dedicated to advancing technology and education through strategic leadership and innovative research initiatives.

Profile:

Education:

Prof. Dr. Kiran Ravulakollu has a solid academic foundation, beginning with a Bachelor’s degree in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, India, awarded in 2004. He further advanced his expertise by earning a Postgraduate Certificate in Artificial Intelligence from City, University of London, United Kingdom, in 2006. Dr. Ravulakollu’s academic journey culminated in a Ph.D. in Computer Science from the University of Sunderland, United Kingdom, in 2012. His Ph.D. research focused on developing a computational architecture inspired by the Superior Colliculus of the mid-brain, utilizing neural networks for the efficient integration of audio and visual stimuli. Additionally, he completed a Post-Graduate Certificate in Academic Practices from the University of Petroleum and Energy Studies, Dehradun, India, in 2019, further enhancing his teaching and research credentials.

Professional Experience:

Prof. Dr. Kiran Ravulakollu has an extensive professional experience in academia and research, currently serving as the Dean and Professor at the School of Technology at Woxsen University, Kamkole, Telangana, since August 2021. In this role, he successfully established the school, significantly increasing student enrollment from 31 to 1,500, faculty and staff from 2 to 75, and generating revenue of ₹80 lakhs. He has also served as the Director of Research and Development at Woxsen University since August 2022, where he developed a robust R&D ecosystem, resulting in a remarkable rise in publications from 10 to 879, citations from 428 to over 7,400, and the acquisition of 36 patents. Prior to his current roles, Dr. Ravulakollu held various positions at the University of Petroleum and Energy Studies, Dehradun, including Assistant Dean of Research and Senior Associate Professor. His academic journey began as an Assistant Professor at Sharda University, where he contributed to curriculum development and student mentoring. His research background includes a tenure as a Research Associate at the HIS Research Group at the University of Sunderland, UK, where he focused on sensory data integration for artificial agents. Throughout his career, Dr. Ravulakollu has demonstrated exceptional leadership, strategic thinking, and a commitment to fostering research excellence in technology and engineering.

Research Interests:

Prof. Dr. Kiran Ravulakollu’s research interests lie at the intersection of artificial intelligence, computer science, and intelligent systems. His Ph.D. research focused on creating computational architectures inspired by the mid-brain’s Superior Colliculus, utilizing artificial neural networks to integrate audio and visual stimuli for enhanced localization capabilities. This foundational work has propelled his ongoing investigations into various advanced topics, including image processing methodologies, artificial agents, ambient intelligence, and hybrid intelligent systems. Additionally, Dr. Ravulakollu is keenly interested in the Internet of Things (IoT) and its applications, exploring how interconnected devices can contribute to smarter solutions in urban environments. His dedication to innovation is reflected in his ability to translate complex theoretical concepts into practical applications, fostering knowledge transfer that shapes products and enhances research outcomes. Overall, his diverse research portfolio showcases a commitment to pushing the boundaries of technology and developing cutting-edge solutions for real-world challenges.

Skills:

Prof. Dr. Kiran Ravulakollu possesses a robust skill set that encompasses analytical expertise, strong research methodologies, and innovative development capabilities. His analytical skills enable him to design and implement significant projects, effectively identifying problems and conducting feasibility studies to ensure research viability. With a solid foundation in project management, he excels at coordinating research and development activities, fostering collaboration among diverse teams. Dr. Ravulakollu is adept at data analysis, utilizing advanced techniques to derive meaningful insights and inform decision-making processes. His proficiency in knowledge transfer allows him to bridge the gap between theoretical research and practical application, shaping products that meet industry demands. Additionally, his experience in developing policies and frameworks for effective administration reflects his strategic thinking ability and commitment to continuous improvement within academic and research environments. Overall, Dr. Ravulakollu’s diverse skill set positions him as a leader in his field, driving impactful research initiatives and fostering innovation.

Conclusion:

Prof. Dr. Kiran Ravulakollu’s exceptional track record in academia, research, and administration make him a highly suitable candidate for the Best Researcher Award. His ability to blend innovative research with practical applications, along with his leadership in establishing a robust R&D environment, highlights his suitability for this prestigious recognition. His career demonstrates a consistent commitment to advancing knowledge and technology in the fields of artificial intelligence, machine learning, and hybrid intelligent systems, positioning him as a leader in contemporary research.

Publication Top Noted:

SIGN LANGUAGE RECOGNITION: STATE OF THE ART

  • Authors: AK Sahoo, GS Mishra, KK Ravulakollu
  • Year: 2013
  • Cited by: 105

Improving automated latent fingerprint detection and segmentation using deep convolutional neural network

  • Authors: M Chhabra, KK Ravulakollu, M Kumar, A Sharma, A Nayyar
  • Journal: Neural Computing and Applications
  • Year: 2023
  • Cited by: 33

Naïve Bayes Classifier with LU Factorization for Recognition of Handwritten Odia Numerals

  • Authors: KKR, Pradeepta K. Sarangi, P. Ahmed
  • Journal: Indian Journal of Science and Technology
  • Year: 2014
  • Cited by: 32

HANDWRITTEN DEVNAGARI DIGIT RECOGNITION: BENCHMARKING ON NEW DATASET

  • Authors: R Kumar, KK Ravulakollu
  • Journal: Journal of Theoretical & Applied Information Technology
  • Year: 2014
  • Cited by: 27

A Hybrid Intrusion Detection System: Integrating Hybrid Feature Selection Approach with Heterogeneous Ensemble of Intelligent Classifiers

  • Authors: KKR, Amrita
  • Journal: International Journal of Network Security
  • Year: 2018
  • Cited by: 25

Fuzzy-membership based writer identification from handwritten devnagari script

  • Authors: R Kumar, KK Ravulakollu, R Bhat
  • Journal: Journal of Information Processing Systems
  • Year: 2017
  • Cited by: 23

Indian sign language recognition using skin color detection

  • Authors: AK Sahoo, KK Ravulakollu
  • Journal: International Journal of Applied Engineering Research
  • Year: 2014
  • Cited by: 19

VISION BASED INDIAN SIGN LANGUAGE CHARACTER RECOGNITION

  • Authors: AK Sahoo, KK Ravulakollu
  • Journal: Journal of Theoretical & Applied Information Technology
  • Year: 2014
  • Cited by: 18

A review on artificial intelligence in orthopaedics

  • Authors: T Hamid, M Chhabra, K Ravulakollu, P Singh, S Dalal, R Dewan
  • Conference: 2022 9th International Conference on Computing for Sustainable Global Development
  • Year: 2022
  • Cited by: 17

WORD BASED STATISTICAL MACHINE TRANSLATION FROM ENGLISH TEXT TO INDIAN SIGN LANGUAGE

  • Authors: GS Mishra, AK Sahoo, KK Ravulakollu
  • Journal: ARPN Journal of Engineering & Applied Sciences
  • Year: 2017
  • Cited by: 17

State-of-the-Art: A Systematic Literature Review of Image Segmentation in Latent Fingerprint Forensics

  • Authors: KKR, Megha Chhabra, Manoj Kumar Shukla
  • Journal: Recent Patents on Computer Science
  • Year: 2019
  • Cited by: 16

Surface Corrosion Grade Classification using Convolution Neural Network

  • Authors: KKR, Sanjay Kumar Ahuja, Manoj Kumar Shukla
  • Journal: International Journal of Recent Technology and Engineering
  • Year: 2019
  • Cited by: 15

Sushama Deshmukh | Computer Science | Best Researcher Award

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Mrs. Sushama Deshmukh | Computer Science | Best Researcher Award

Assistant Professor at JNEC MGMU Aurangabad, India

Summary:

Mrs. Sushama Deshmukh is an experienced academic and researcher with over 17 years in the field of computer engineering. She is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad. She holds a Master of Engineering in Computer Science and Engineering from Government Engineering College, Aurangabad, and a Bachelor of Engineering in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad. Mrs. Deshmukh has served as an Assistant Professor at JNEC MGMU and Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she has taught various courses including Artificial Intelligence, Machine Learning, Software Engineering, and Cybersecurity. Her research interests span across Artificial Neural Networks, Machine Learning, Security, and Software Engineering. In addition to her academic roles, Mrs. Deshmukh has been involved in developing software applications like the “Software Engineering Virtual Lab Simulator” and the “Vaccination Management System (VACC-IT).” She is also active in professional development, holding certifications in AI, deep learning, natural language processing, and database systems, reflecting her dedication to continuous learning and innovation in the field.

Profile:

Education:

Mrs. Sushama Deshmukh is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad, demonstrating her ongoing commitment to advancing her expertise in the field. She holds a Master of Engineering (M.E.) in Computer Science and Engineering from Government Engineering College, Aurangabad, under Dr. B.A.M.U., where she graduated in 2018 with First Division, securing 68.54%. Additionally, she earned a Bachelor of Engineering (B.E.) in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad, in 2006, graduating with Distinction at 66.04%. Mrs. Deshmukh also holds a Diploma in Medical Electronics from Government W.R.P. Latur, completing the program in 2001 with First Division at 60%. Her diverse educational background spans multiple fields, showcasing her deep and versatile understanding of engineering, technology, and interdisciplinary subjects.

Professional Experience:

Mrs. Sushama Deshmukh has accumulated over 17 years of professional experience in academia, primarily in the field of computer engineering. She is currently serving as an Assistant Professor at JNEC MGMU, Chhatrapati Sambhajinagar, since February 2024. Prior to this, she spent 14.2 years at the Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she held positions as both an Assistant Professor and Lecturer. During her tenure, she has taught a diverse range of undergraduate courses, including Software Engineering, Artificial Intelligence and Applications, Database Management Systems, and Cybersecurity, among others. In addition to her teaching responsibilities, Mrs. Deshmukh has taken on various leadership roles, such as Training & Placement Coordinator and MoU Coordinator for the Centre of Excellence in Cyber Security and Cyber Forensics. She has also contributed significantly to curriculum development and practical examinations as the Department Practical Exam Coordinator and Lab In Charge. Her involvement in developing software projects, such as the “Vaccination Management System” and “Online Job Assessment and Tracking System,” further underscores her commitment to integrating practical applications with academic instruction.

Research Interests:

Mrs. Sushama Deshmukh’s research interests are diverse and reflect her expertise in several key areas within computer engineering. She is particularly focused on security, where she explores the latest trends and challenges in protecting digital information. Additionally, her work in Artificial Neural Networks (ANN), artificial intelligence (AI), and machine learning encompasses the development of innovative algorithms and applications that enhance data processing and decision-making. Mrs. Deshmukh is also passionate about software engineering, with an emphasis on virtual labs and experiential learning environments that facilitate hands-on education for students. Her M.Tech project on frequent item set mining in large uncertain datasets demonstrates her commitment to advancing knowledge in data mining and analytics. Through her research, Mrs. Deshmukh aims to contribute to the advancement of technology while addressing real-world problems in cybersecurity and software development.

Skills:

Mrs. Sushama Deshmukh possesses a robust skill set that is well-aligned with her professional and academic pursuits. She is proficient in a variety of programming languages and technologies, including Microsoft SQL Server, WAMP, XAMP, and Turbo C, which enable her to develop and manage complex software applications. Her expertise in artificial intelligence (AI) and machine learning is complemented by certifications in deep learning, natural language processing, and SQL for data science, acquired through reputable platforms like Infosys and Coursera. Additionally, Mrs. Deshmukh has demonstrated her ability to create practical solutions, exemplified by her projects such as the Vaccination Management System and the Online Food Delivery System. Her organizational skills are evident through her roles in coordinating departmental activities and workshops, as well as her involvement in establishing partnerships for the Centre of Excellence in Cyber Security and Cyber Forensics. Overall, her diverse skill set equips her to contribute significantly to both academic and practical applications in her field.

Conclution:

Mrs. Sushama Deshmukh’s combination of academic qualifications, extensive experience, cutting-edge research areas, impactful projects, professional certifications, and social engagement make her a suitable candidate for the Research for Best Researcher Award. Her dedication to interdisciplinary research, practical applications of technology, and community involvement align well with the award’s criteria, emphasizing innovation and societal impact..

Publication Top Noted:

Medi-Block Record: Secure Data Sharing Using Blockchain Technology

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • DOI: 10.1016/j.imu.2021.100624
  • Cited by: 37

Designing User Interfaces with a Data Science Approach

  • Authors: A.N. Banubakode, G.D. Bhutkar, Y. Kurniawan, C.S. Gosavi
  • Publisher: IGI Global
  • Chapter in Book: Designing User Interfaces with a Data Science Approach
  • Year: 2022
  • Cited by: 3

Medi-Block Record: Secure Data Sharing Using Blockchain Technology (Duplicate Entry)

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • Cited by: 2

Significance of Software Engineering Phases in the Development of a Software Application: Case Study

  • Authors: S.A. Deshmukh, S.L. Kasar
  • Chapter in Book: Designing User Interfaces with a Data Science Approach, Pages 111-132
  • Publisher: IGI Global
  • Year: 2022
  • Cited by: 1

Student Performance Prediction Based on Multiple-Choice Question Test Using Neural Network in the VLab Platform

  • Authors: S.A. Deshmukh, R.S. Vaidya, V.D. Kamuni, S. Gaikwad
  • Journal: Theoretical Issues in Ergonomics Science
  • Volume: 25(3), Pages 330-342
  • Year: 2024

Analysis of Challenges in Decentralized Storage Framework for Sharing Medical Data

  • Authors: S.A. Deshmukh, S.L. Kasar, Y. Chichani
  • Conference: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
  • Year: 2023

Virtual Lab Simulator for Software Engineering Experiment Report to Evaluate Student Assessment

  • Authors: S.A. Deshmukh, G. Tripathi
  • Conference: International Conference on Innovations in Computer Science and Engineering
  • Year: 2022

An Improvised on Mining Frequent Item Sets on Large Uncertain Databases

  • Author: M.S.A. Deshmukh
  • Journal: International Journal for Scientific Research & Development
  • Volume: 24(4), Pages 1769-1772
  • Year: 2017