Francisco Maria Calisto | Computer Interaction | Young Scientist Award

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Dr. Francisco Maria Calisto| Computer Interaction | Young Scientist Award

Researcher, Institute for Systems and Robotics

Francisco Maria Calisto is a researcher specializing in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and medical imaging. He completed his PhD in Computer Science and Engineering at Instituto Superior Técnico, Universidade de Lisboa, Portugal, focusing on the human-centered design of AI-driven personalized medical imaging systems. His research explores intelligent agent integration for enhancing radiology workflows, improving clinical decision-making, and ensuring security and trust in AI applications. He has worked as a Doctoral Researcher at ISR-Lisboa and a Visiting Scholar at Carnegie Mellon University. His contributions include developing BreastScreening-AI, an AI-based diagnostic framework for breast cancer detection. He has also collaborated with institutions such as INESC-ID and ITI, contributing to user-centered AI-driven healthcare innovations. Francisco actively teaches Human-Computer Interaction and User-Centered Design, shaping future AI-driven healthcare solutions. His work aims to bridge AI, HCI, and medical imaging for better clinical outcomes and decision support.

Orcid

Scholar

🎓 Education 

PhD in Computer Science and Engineering (2024) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. MSc in Information Systems and Computer Engineering (2018) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. BSc in Computer Science and Engineering (2017) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. Doctoral Thesis – Human-Centered Design of Personalized Intelligent Agents in Medical Imaging Diagnosis (Supervisors: Prof. Jacinto Nascimento & Prof. Nuno Nunes). Explores AI-based radiology workflow optimization, focusing on trust, security, and usability. Master’s Thesis – Medical Imaging Multimodality Breast Cancer Diagnosis User Interface (Supervisors: Prof. Jacinto Nascimento & Prof. Daniel Gonçalves). Investigated Deep Convolutional Neural Networks (DCNNs) for breast cancer diagnosis using MRI, ultrasound, and mammography data. Scholarships – Funded by FCT (PD/BD/150629/2020, CMU/ECE/0005/2017, BL89/2017-IST-ID).

💼 Experience 

Doctoral Researcher (2020–2024) – ISR-Lisboa, Portugal. Developed AI-based second-reader systems for medical imaging in partnership with CMU. Visiting Scholar (2022–2023) – Carnegie Mellon University, USA. Researched human-AI collaboration in clinical decision-making under Prof. John Zimmerman. Research Fellow (2018–2019) – ITI, Portugal. Designed AI-assisted healthcare solutions and worked on the FeedBot project. Research Engineer (2016–2018) – ISR-Lisboa, Portugal. Focused on AI-driven breast cancer detection using multimodal imaging. Online Editor & Web Developer (2016–2017) – Elsevier (Remote, UK). Managed content for the Computers & Graphics journal. Research Assistant (2015–2017) – INESC-ID, Portugal. Developed user-centered AI tools for healthcare applications. Teaching Experience (2016–Present) – Invited Teaching Assistant and Supporting Lecturer at Instituto Superior Técnico, specializing in Human-Computer Interaction and User-Centered Design.

🏆 Awards & Honors

Early Career Research Recognition – Awarded by multiple institutions for contributions to AI in medical imaging. Best Paper Awards – Received at top conferences for HCI and AI in radiology research. FCT Doctoral Grant (PD/BD/150629/2020) – Funded PhD research on intelligent agents in medical imaging. CMU Portugal Program Fellowship (2018–2019) – Supported research in AI-assisted clinical workflows. IST Excellence in Research Award – Recognized for outstanding contributions to medical AI. Elsevier Recognition (2016–2017) – Acknowledged for contributions to Computers & Graphics journal. LARSyS Research Fund – Funded work on AI in healthcare. Best Teaching Assistant Award (2023) – Honored for excellence in teaching Human-Computer Interaction.

🔬 Research Focus 

 Human-Computer Interaction (HCI) – Investigating AI-assisted decision-making and usability in medical imaging. Artificial Intelligence in Radiology – Developing intelligent agents to enhance clinical workflows, focusing on trust, security, and ethical AI use.  Medical Imaging & Breast Cancer Detection – Leading research in AI-driven breast cancer diagnostics through multimodal imaging analysis. Personalized AI in Healthcare – Studying adaptive AI communication strategies to optimize clinician-AI interactions. Deep Learning & Convolutional Neural Networks (CNNs) – Applying deep learning to classify, segment, and analyze medical images. User-Centered AI Design – Ensuring AI systems align with clinical needs through human-centered methodologies. Decision Support Systems – Creating AI-driven frameworks like BreastScreening-AI to improve diagnostic accuracy. Ethical AI & Explainability – Enhancing AI interpretability in healthcare for trust and reliability.

Conclusion

Dr. Francisco Maria Calisto exhibits a robust portfolio of innovative research, interdisciplinary collaboration, and academic mentorship. His contributions to the fields of HCI and Health Informatics, particularly in enhancing medical imaging diagnostics through AI, position him as a strong candidate for the Best Researcher Award. Addressing the identified areas for improvement could further solidify his standing as a leading researcher in his domain.

publication

  • BreastScreening-AI: Evaluating Medical Intelligent Agents for Human-AI Interactions (2022) – FM Calisto, C Santiago, N Nunes, JC Nascimento – 113 citations

 

  • Introduction of Human-Centric AI Assistant to Aid Radiologists for Multimodal Breast Image Classification (2021) – FM Calisto, C Santiago, N Nunes, JC Nascimento – 106 citations

 

  • Modeling Adoption of Intelligent Agents in Medical Imaging (2022) – FM Calisto, N Nunes, JC Nascimento – 86 citations

 

  • Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis (2023) – FM Calisto, J Fernandes, M Morais, C Santiago, JM Abrantes, N Nunes, … – 67 citations

 

  • BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis (2020) – FM Calisto, NJ Nunes, JC Nascimento – 63 citations

 

  • Towards Touch-Based Medical Image Diagnosis Annotation (2017) – FM Calisto, A Ferreira, JC Nascimento, D Gonçalves – 54 citations

 

  • Classification of Breast Cancer in MRI with Multimodal Fusion (2023) – M Morais, FM Calisto, C Santiago, C Aleluia, JC Nascimento – 25 citations

 

  • Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning (2023) – P Diogo, M Morais, FM Calisto, C Santiago, C Aleluia, JC Nascimento – 20 citations

 

  • External Validation of a Deep Learning Model for Breast Density Classification (2023) – JM Abrantes, MJ Bento e Silva, JP Meneses, C Oliveira, FM Calisto, … – 11 citations

 

  • Medical Imaging Multimodality Breast Cancer Diagnosis User Interface (2017) – FM Calisto – 10 citations

 

  • Human-Centered Design of Personalized Intelligent Agents in Medical Imaging Diagnosis (2024) – FM Calisto – 8 citations

 

  • Computational Method and System for Improved Identification of Breast Lesions – FM Calisto, J Nascimento – No citation data available

Abdulrahman Alojail |Information Systems | Best Researcher Award

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Assist. Prof. Dr. Abdulrahman Alojail |Information Systems | Best Researcher Award

Assistant Professor at King Faisal University Saudi, Arabia

Abdulrahman Alojail, from Al Ahsa, Saudi Arabia, is an academic specializing in Information Systems. With a strong focus on enhancing his skills, he leverages his academic background and professional experience to contribute effectively to both education and the industry. He is currently an Assistant Professor at King Faisal University, where he also leads the Alumni Committee. With a career spanning over a decade, Abdulrahman has consistently demonstrated a passion for education, research, and professional development. He has also worked as an Application Development Analyst at Saudi Electricity Company, showcasing his practical IT expertise.

Profile

Orcid

🎓 Education

Abdulrahman completed his Bachelor of Computer Information Systems at King Faisal University, Saudi Arabia (2010). He later earned a Master of Science in Information Systems from Central Michigan University, USA (2016). Furthering his academic journey, he obtained a PhD in Business Information Systems from RMIT University, Australia (2023). His educational background reflects a deep commitment to mastering IT and business systems, positioning him as an expert in the field.

💼 Experience

Abdulrahman’s professional experience spans academia and industry. He served as a Lecturer at King Faisal University from 2011 to 2023, where he taught undergraduate courses in Information Systems and contributed to curriculum development. Since 2023, he has been an Assistant Professor, focusing on alumni relations and creating opportunities for graduates. Prior to his academic career, he worked as an Application Development Analyst at Saudi Electricity Company (2010-2011), where he was responsible for developing and optimizing database applications and maintaining server structures.

🏆 Awards and Honors

Abdulrahman has received numerous accolades, including Ethical Leadership and Money Management Certificates from Central Michigan University (2015). He also completed a Project Management course (2019) in line with PMI’s PMBOK standards. His expertise in digital transformation earned him certifications in Agile Management and Digital Transformation Project Management (2022). He received recognition for his academic research with the publication of his work in the Mathematics journal, MDPI (2024).

🔬 Research Focus

Abdulrahman’s research interests include the application of deep learning in enhancing sentiment classification and consistency analysis, particularly in customer reviews. His work also explores digital transformation, business information systems, and the use of data analysis tools like Python for informed decision-making. His PhD research focused on the development of innovative technologies to improve system performance and efficiency in business contexts. He is passionate about the intersection of technology and business practices, aiming to bridge gaps in both fields.

💡 Skills

Abdulrahman is proficient in communication, SQL, MS Access, System Development Methodologies (DFD, ERD, Use Case), Microsoft Power BI, and Python programming. He possesses strong teamwork and collaboration skills, along with a passion for lifelong learning and public speaking. His academic experience and industry background allow him to engage effectively in both teaching and practical application of business information systems.

🌟 Conclusion

Abdulrahman Alojail is an exceptional candidate for the Best Researcher Award due to his impressive academic credentials, impactful research, and professional expertise. His ability to merge academic theory with industry practice, along with his ongoing commitment to professional development, makes him a valuable asset to the field of Information Systems. With continued growth in interdisciplinary research and emerging technologies, Alojail is poised to make significant contributions to both academia and industry in the years to come.

📚Publications 

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews
  • Author: Dr. Abdulrahman Alojail
  • Journal: Mathematics
  • Date of Publication: December 7, 2024
  • Type: Journal article
  • Focus: The paper presents a hybrid deep learning approach aimed at improving sentiment classification and analyzing the consistency of customer reviews.
  • Contributors: Dr. Abdulrahman Alojail

Bhanu Shrestha | Computer Science | Best Researcher Award

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Prof. Bhanu Shrestha | Computer Science | Best Researcher Award

Professor at Kwangwoon University, South Korea

Bhanu Shrestha is a Full Professor at Kwangwoon University, Korea. He holds expertise in electronic engineering with a background in various academic and professional roles, including Assistant and Associate Professorships at the same institution. A native of Nepal, he is passionate about research, education, and cultural exchange. Bhanu has also published books, research papers, and contributed to documentaries and music albums. His involvement extends to editorial positions, being Editor-in-Chief of the International Journal of Advanced Engineering since 2018. He is known for his academic and social contributions, particularly in the field of information technology and engineering.

 

Profile

Scopus

Orcid

 🎓 Education

Ph.D. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2004-2008). M.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2002-2004). B.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (1994-1998). S.L.C. from Bhim Secondary School, Dolakha, Nepal (1982)

💼 Experience

Adjunct Professor, Kwangwoon University, Korea (2008-2011). Assistant Professor, Kwangwoon University, Korea (2011-2016). Associate Professor, Kwangwoon University, Korea (2016-2021). Full Professor, Kwangwoon University, Korea (2021-Present). Bhanu Shrestha has held various academic positions, contributing significantly to the field of electronic engineering and nurturing the next generation of engineers. He has also been involved in leadership roles in professional organizations.

🏆 Awards and Honors

Achievement Award, IIBC Korea (2015). Best Paper Award, ISSAC 214 & ICACT 2014, IIBC, Seoul, Korea (2014). Excellent Paper Award, Korea Institute of Information Technology (2012). Certificate of Honorary Citizenship, Seong-buk District Office, Seoul, Korea (2012). Bellwave Excellent Paper Award, Korea Electromagnetic Engineering Society (2005). Vidhyabhusan Padak (Gold Medal), Nepal (2009) Bhanu has earned several prestigious awards, recognizing his academic excellence and contributions to research and development in engineering.

🔬 Research Focus

Bhanu Shrestha’s research interests include Internet of Things (IoT), artificial intelligence (AI), microelectromechanical systems (MEMS), and fuzzy logic applications in communication technology. His work also explores biosensors and nanotechnology for environmental remediation. As a guest editor for multiple journals, Bhanu’s research aims to push the boundaries of innovation in electronic engineering and its practical applications, particularly in smart systems and AI.

Conclusion

Bhanu Shrestha’s contributions to electronic engineering and technology, coupled with his leadership in academia, make him a highly deserving candidate for the Best Researcher Award. His accomplishments in publishing influential works, along with his global impact in the fields of artificial intelligence, IoT, and nanotechnology, showcase his research excellence. With continued collaboration and expansion into emerging areas, he is well-positioned to make even more significant strides in the scientific community, further cementing his legacy as a top researcher.

Publications 📚

Anuradha Laishram | Computer vision | Best Researcher Award

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Dr. Anuradha Laishram | Computer vision | Best Researcher Award

Doctorate at National Institute of Technology Manipur, India

Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.

profile:

Scopus Profile

🎓 Education

  • Ph.D. in Computer Science and Engineering
    • University: National Institute of Technology Manipur
    • Year of Award: 2022
    • Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
  • Master of Engineering in Computer Science and Engineering
    • University: UVCE, Bangalore University
    • Year of Passing: 2011
    • Percentage: 79.8%
    • Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
  • Bachelor of Engineering in Computer Science and Engineering
    • University: Visvesvaraya Technological University, Belgaum
    • Year of Passing: 2008
    • Percentage: 64.5%
  • Other Educational Achievement:
    • Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.

Professional Experience

Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.

🔬 Research

Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.

Publication:📝

 

Gholam Reza Emad | Human Factors | Best Researcher Award

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 Dr. Gholam Reza Emad | Human Factors | Best Researcher Award

 Dr at University of Tasmania, Australia

Dr. Gholam Reza Emad is an accomplished scholar and leader in maritime education, currently directing the Centre for Research in Cognitive Human Element in the Maritime Domain (C-HELM) at the Australian Maritime College, University of Tasmania. With a Ph.D. in Curriculum Studies and extensive teaching experience, he specializes in the Cognitive Human Factor and Human Element in the maritime industry. Dr. Emad’s research, grounded in sociocultural theories, explores learning in formal and informal settings, focusing on Industry 4.0’s impact and gender diversity. His contributions include numerous grants, awards for teaching excellence, and a robust media presence, underscoring his commitment to advancing maritime education and safety.

Profile

  1. Scopus

 

  1. Orcid

 

  1. Scholar

Education 🎓

Doctor of Science in Marine and Environmental Sciences University of the Ryukyus, Okinawa, Japan, October 2017 – March 2023, Thesis: Acclimation Potential Against Consecutive Thermal Stress on Adult and Early Life Stages of the Reef-Building Coral Acropora tenuis, Supervisor: Assoc. Prof. Masaya Morita. Master of Science in Natural Resource Engineering – Aquatic Animals Proliferation and Farming Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, 2012 – 2014. Bachelor of Science in Natural Resource Engineering – Fisheries Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, 2007 – 2011

Leadership Positions 🏆

Director of C-HELM (Centre for Research in Cognitive Human Element in the Maritime Domain) 2021 – Present. Master of Applied Science Course Coordinator Australian Maritime College, University of Tasmania, 2021 – Present. Course Coordinator, Australian Maritime College, University of Tasmania, 2017 – 2021. Deputy-Vice Chancellor, Students Affairs Chabahar Maritime University 2014 – 2016. Head of Scientific and International Affairs Chabahar Maritime University 2012 – 2014. Deputy Vice Chancellor, Student Affairs Chabahar Maritime University 2003 – 2005. Chair of Nautical Department Chabahar Maritime University (CMU) 2002 – 2004. Academic Dean of Chabahar Distance Education University 1998 – 2001. Chair of Nautical Department, CMU, 1997 – 1998. Academic Dean of College of Nautical Studies CMU 1995 – 1998. Maritime Advisor for the Independent Surveying Company 1994 – 2005. Intermittent Work Experience in the Maritime Industry 1986 – 2003

Teaching Experience 📚

Senior Lecturer University of Tasmania, Australian Maritime College 2016 – Present Responsibilities: Teaching graduate/undergraduate courses, supervising post-graduate and higher degree by research students. Assistant Professor Chabahar Maritime University 2011 – 2016 Responsibilities: Teaching graduate/undergraduate courses, supervising post-graduate students. Adjunct Professor AmirKabir University of Technology 2012 – 2015 Responsibilities: Teaching graduate courses, supervising post-graduate students. Adjunct Professor Sistan and Baluchistan University, International Campus 2012 – 2014 Responsibilities: Teaching at the Teacher Education program. Adjunct Professor Kish International University 2002 – 2003 Responsibilities: Course development, teaching at the graduate level. Adjunct Professor Khark Azad University 2000 – 2005 Responsibilities: Teaching undergraduate courses. Adjunct Professor Fisheries and Ocean Organization College 2000 – 2002 Responsibilities: Professional development, teaching non-credit technical courses. Assistant Professor Chabahar Maritime University 1993 – 2005Responsibilities: Course development, teaching at the undergraduate level

Awards and Scholarships 🏅

2023: Recognition of Outstanding Teaching Based on Student Feedback, UTAS.2022: Recognition of Outstanding Teaching Based on Student Feedback, UTAS.2021: Recognition of Outstanding Teaching Based on Student Feedback, UTAS.2019: Recognition of Outstanding Teaching Based on Student Feedback, UTAS.2008: Graduate Award, University of Victoria, Canada.2008: Canadian Association for Research on Work and Health award, Canada.2007: Scholarship of Students Led Research, BC Government, Canada.2005: Research Training Scholarship, Ministry of Higher Education, Iran.2003: Outstanding Teaching Award, Maritime, Minister of Road and Transportation, Iran.1992: Research Training Scholarship, Ministry of Higher Education, Iran.

Research Interests 🔍

I study knowing and learning in formal and informal settings through qualitative research. In my research, I utilize sociocultural perspectives and theories such as the Cultural Historical Activity Theory. My research mainly focuses on the study of the Cognitive Human Factor and Human Element in the maritime domain. My research center (C-HELM) projects aim to understand how implementing Industry 4.0 affects humans and their role in future industries. In my latest research, I am interested in how advanced technology can improve equality and gender diversity. 🚢🌊👩‍🔬

 

Publications Top Notes 📝

  • Connecting to the oceans: supporting ocean literacy and public engagement
    • Year: 2021
    • Authors: R Kelly, K Evans, K Alexander, S Bettiol, S Corney, C Cullen-Knox, …

 

  • Contradictions in the practices of training for and assessment of competency: A case study from the maritime domain
    • Year: 2008
    • Authors: G Emad, WM Roth

 

  • Ocean resource use: building the coastal blue economy
    • Year: 2021
    • Authors: N Bax, C Novaglio, KH Maxwell, K Meyers, J McCann, S Jennings, …

 

  • Deep aspirations: towards a sustainable offshore blue economy
    • Year: 2022
    • Authors: C Novaglio, N Bax, F Boschetti, GR Emad, S Frusher, L Fullbrook, …

 

  • Industrial revolutions and transition of the maritime industry: The case of Seafarer’s role in autonomous shipping
    • Year: 2022
    • Authors: M Shahbakhsh, GR Emad, S Cahoon

 

  • Policy as boundary object: A new way to look at educational policy design and implementation
    • Year: 2009
    • Authors: G Emad, WM Roth

 

  • Identifying seafarer training needs for operating future autonomous ships: a systematic literature review
    • Year: 2022
    • Authors: GR Emad, H Enshaei, S Ghosh

 

  • Shipping 4.0 and training seafarers for the future autonomous and unmanned ships
    • Year: 2020
    • Authors: GR Emad, M Khabir, M Shahbakhsh

 

  • A study on time constraints and task deviations at sea leading to accidents–a cultural-historical perspective
    • Year: 2019
    • Authors: A Rajapakse, GR Emad, M Lützhöft, M Grech

Sayandeep Dutta | Computer Science | Young Scientist Award

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 Mr. Sayandeep Dutta | Computer Science | Young Scientist Award 

Mr. Doon Heritage School, India

👩‍🔬Driven by a passion for entrepreneurship and cybersecurity, aims to excel as a developer and analyst, leveraging diverse skills in machine learning and creative writing. With a track record of achievements, including prestigious awards and contributions to projects like Krishi Sarthi and OWASP Juice Shop, they possess a strong foundation in tech innovation. As founder of Krishi Sarthi and a penetration tester, they combine technical expertise with leadership in organizing cybersecurity events. Certified in HTML and web application penetration testing, they exhibit a keen aptitude for continuous learning and advancement in the field.🌟

 

Profile

 

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🚀 Career Aspiration

Aspiring to excel as an entrepreneur, developer, and cybersecurity analyst, I aim to reach the pinnacle of success in my chosen field. With a diverse background in projects ranging from NFT artistry to ethical hacking and machine learning development, I strive to make a significant impact in the tech industry. Recognized for my dedication, I continuously engage with communities and contribute to public development research.

🎓  Education

  • High School Diploma (Class 10) – Jermel’s Academy, Siliguri (Apr 2011 – Apr 2022)
  • High School Senior Diploma (Class 12) – Doon Heritage School, Siliguri (Apr 2022 – Apr 2024)

🏆  Achievements

  • Nomination for Pradhan Mantri Rashtriya Bal Puraskar 2024
  • Youngest Participant at Young Scientist Conference, IISF 2023
  • Global Digital Innovation Award 2023

🔍Project Details

KrishiSarthi: Developed a project for calculating crop yield per hectare using geographical data. Bugbase Hall Of Fame: Recognized for contributions to bug bounty programs. CVE Issuances: Discovered and reported security vulnerabilities in web applications.

🛠️Projects

  • OWASP Juice Shop (Contributed): A sophisticated insecure web application for security training.
  • DialDetect (Self): A phone number details finder tool providing comprehensive information.

💼Work Experience

Founder, KrishiSarthi: Calculated Crop Yield per hectare using geographical data. Content Writer, MAGICSTEP SOLUTIONS PRIVATE LIMITED: Learned project management and teamwork. Penetration Tester, WPScan – WordPress Security: Discovered CVEs and contributed to cybersecurity magazines. Team Leader, CyRaksha: Organized cybersecurity events to nurture talents. Digital Artist, OpenSea: Created NFTs and connected with other artists.

📜 Certification

HTML Workshop (2021). Technical Workshop on Web Application Penetration Testing (2023). High School Certificates – Certificate for n00bzCTF2023 (2023). Advance Javascript (2022). Effective Listening (2021)

🔧  Skill Highlights

Cybersecurity, Machine Learning, Creative Writing, Conference Speaking, Team Management

Publications Top Notes 📝

  • Development and bioavailability assessment of ramipril nanoemulsion formulation
    • Authors: S Shafiq, F Shakeel, S Talegaonkar, FJ Ahmad, RK Khar, M Ali
    • Journal: European journal of pharmaceutics and biopharmaceutics
    • Year: 2007
    • Volume: 66
    • Issue: 2
    • Pages: 227-243
    • Citations: 1006

 

  • Nanoemulsions as vehicles for transdermal delivery of aceclofenac
    • Authors: F Shakeel, S Baboota, A Ahuja, J Ali, M Aqil, S Shafiq
    • Journal: Aaps Pharmscitech
    • Year: 2007
    • Volume: 8
    • Pages: 191-199
    • Citations: 427

 

  • Formulation development and optimization using nanoemulsion technique: a technical note
    • Authors: S Shafiq-un-Nabi, F Shakeel, S Talegaonkar, J Ali, S Baboota, A Ahuja, …
    • Journal: AAPS pharmscitech
    • Year: 2007
    • Volume: 8
    • Pages: E12-E17
    • Citations: 420

 

  • Design, development and evaluation of novel nanoemulsion formulations for transdermal potential of celecoxib
    • Authors: S Baboota, F Shakeel, A Ahuja, J Ali, S Shafiq
    • Journal: Acta pharmaceutica
    • Year: 2007
    • Volume: 57
    • Issue: 3
    • Pages: 315-332
    • Citations: 397

 

  • A review on the strategies for oral delivery of proteins and peptides and their clinical perspectives
    • Authors: A Muheem, F Shakeel, MA Jahangir, M Anwar, N Mallick, GK Jain, …
    • Journal: Saudi Pharmaceutical Journal
    • Year: 2016
    • Volume: 24
    • Issue: 4
    • Pages: 413-428
    • Citations: 384

 

Farah Jemili | Cybersécurité

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Assist Prof Dr Farah Jemili: Leading Researcher in Cybersécurité

Assist Prof Dr Farah Jemili at University of Sousse Tunisia.

🎉🏆Congratulations, Assist Prof Dr Farah Jemili, on winning the esteemed Women Researcher Award from Young scientist Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done 🌟

👨‍🏫  Farah Jemili, an Professor at the  University of Sousse, Tunisia, stands as a distinguished academic and researcher in the Computer Science. Holding a Ph.D Assistant Professor research in artificial intelligence &Big Data Analysis at MARS lab.,IsITCom, University of Sousse, Tunisia . their professional journey exemplifies dedication and expertise. 📚

Professional Profile

Academic Qualifications

Ph.D, Eng., Assistant Professor, Researcher in Artificial Intelligence & Big Data Analysis at MARS Lab , ISITCom, University of Sousse, Tunisia

💼Employment :

Assistant Professor(FSB BIZERTE) 2004 to 2010|Employment

Farah Jemili’s citation metrics and indices from Google Scholar are as follows:

📊 Citation Metrics (Google Scholar):

  • Cited by: All – 398, Since 2018 – 286
  • h-index: All – 11, Since 2018 – 9
  • i10-index : All -11 Since 2018 -9
Publications

32 Documents

📚Top Noted Publications (Journals)

A framework for an adaptive intrusion detection system using Bayesian network  Published in 2007/5/23 Cited by 115

Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning Published online: 25 Jul 2023.

A framework for an adaptive intrusion detection system using Bayesian network

Using MongoDB databases for training and combining intrusion detection datasets Published in 2018 Cited by 11.

A survey of attacks in mobile ad hoc networks

Anomaly-based behavioral detection in mobile Ad-Hoc networks

Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques

Distributed Architecture of an Intrusion Detection System in Industrial Control Systems Published in 2022/9/21 Cited by 8

Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study Published in 2017 cited by 5

OuajdiKorbaa.” Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study.” Software, Telecommunications and Computer Networks (SoftCOM) Published in 2017 Cited by 5