Loay Aladib | Information Sciences |Young Scientist Award

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Mr. Loay Aladib | Information Sciences |Young Scientist Award

PhD Research Scholar, University of Wollongong

Loay Aladib is a PhD Research Scholar at the University of Wollongong, Australia, specializing in Software Engineering and Artificial Intelligence. With 12+ years of experience, he has led software teams to build efficient, elegant solutions across diverse platforms. His core strength lies in blending practical software design with deep technical research. Loay is currently immersed in developing advanced frameworks that integrate Runtime Verification with stream processing systems like Apache Spark. His work ensures scalable, real-time monitoring of distributed systems, driving innovations in safety-critical applications such as IoT and smart cities. Adept in various languages, frameworks, and cloud platforms, Loay exemplifies the role of a modern software architect and researcher. His commitment to excellence, adaptability, and problem-solving mindset has positioned him at the forefront of next-generation computing solutions. Loay is not only a passionate coder but also a visionary problem solver working at the intersection of code, logic, and impact.

Profile

Scholar

🎓 Education 

 Loay Aladib is currently pursuing a PhD in Software Engineering and Artificial Intelligence at the University of Wollongong, focusing on real-time distributed systems and formal verification techniques. His doctoral research bridges theoretical concepts like Linear Temporal Logic with practical big data stream frameworks. Before this, Loay earned his bachelor’s degree in computer science/software engineering, followed by a postgraduate specialization (details not provided). His academic journey is driven by a desire to enhance software system reliability through intelligent automation and scalable architecture. Loay’s education is marked by continuous learning, technical proficiency, and interdisciplinary exploration, equipping him with the skills to address complex challenges in AI and software development. His PhD candidacy reflects his commitment to research excellence, innovation, and the application of formal methods in real-world computing environments. Through rigorous academic training and practical insight, Loay has developed a unique profile combining academic depth with industry-savvy problem-solving capabilities.

💼 Experience 

 With 12+ years of robust professional experience, Loay Aladib has led software development teams across various tech sectors, delivering high-performance, scalable solutions tailored to business and user needs. His role has spanned full-stack development, system architecture, and collaborative product engineering. Loay consistently combines technical depth with strategic vision, enabling teams to innovate rapidly while maintaining code quality and performance. Beyond corporate roles, his current work as a PhD researcher involves designing AI-integrated monitoring systems for distributed data streams, showcasing a unique fusion of industry expertise with academic rigor. Loay is proficient in cloud platforms, diverse programming languages, and modern software engineering practices. He brings creativity and adaptability to every project, turning technical constraints into scalable solutions. His leadership experience includes mentoring junior developers, managing cross-functional teams, and aligning technical goals with organizational objectives. Loay thrives in dynamic, challenge-driven environments, always pushing boundaries in software reliability and intelligent system design.

🏅 Awards and Honors 

 Loay Aladib has been nominated for prestigious awards such as the Best Researcher Award and Young Scientist Award in recognition of his impactful contributions to the intersection of software engineering and artificial intelligence. While specific award wins are yet to be listed, his nomination itself speaks volumes about the originality, utility, and future relevance of his work. His real-time verification framework for Apache Spark has received positive attention from peers and professionals alike for enhancing system reliability in distributed data environments. Loay’s IEEE membership also signifies his recognition and affiliation within a global community of innovators. His work is not just academic but designed for high-impact real-world applications, particularly in areas like smart cities, IoT, and industrial automation. These contributions underscore his potential for receiving honors in innovation, research excellence, and technology leadership. With several publications and ongoing collaborations, Loay stands out as a rising star in next-gen computing research.

🔬 Research Focus 

 Loay Aladib’s research is centered on enhancing real-time reliability in distributed systems using Runtime Verification (RV) and Linear Temporal Logic (LTL). His doctoral work proposes a novel runtime framework for monitoring LTL properties in streaming environments like Apache Spark, ensuring accurate real-time detection of safety and liveness violations in complex data flows. The research bridges formal verification with practical implementation, introducing scalable and reusable LTL patterns for system developers. A key application includes real-time weather data analysis, where his model detected anomalies in temperature and wind speed conditions efficiently. Loay’s research aims to simplify the adoption of formal methods in industry by making verification tools modular, performant, and adaptable across platforms like Apache Flink and beyond. This work has high potential for applications in IoT, smart infrastructure, and mission-critical industrial monitoring. By aligning correctness with efficiency, Loay’s focus sets a new standard in stream-processing reliability and system assurance.

✅ Conclusion

Loay Aladib is a strong and promising candidate for the Young Scientist Award, especially given his interdisciplinary expertise, real-world applicability of his research, and dedication to bridging theoretical rigor with scalable implementation. While there is scope for academic profile expansion through more citations, publications, and collaborations, his current trajectory and innovations reflect significant potential. Recognizing his work through this award would not only be a timely encouragement but also propel further impactful contributions in AI-driven software engineering and distributed systems.

Publication

Author: Aladib, L. & Lee, S.P.
Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
Year: 2018
Citations: 10

Author: Aladib, L.
Title: Case Study of Object Constraints Language (OCL) Tools
Year: 2014
Citations: 3

Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0

Author: Aladib, L.
Title: Detecting Design Pattern and Tracing Its Design Rationale
Year: 2017
Citations: 0

Author: Loay, A.
Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
Year: 2017
Citations: 0

 

Author: Aladib, L.
Title: Task Management System (TMS) for University of Malaya Research Student
Year: 2015
Citations: 0

Author: Aladib, L.
Title: Case Study of Student Registration System (SRS) Domain
Year: 2015
Citations: 0

Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0

Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0

Vaishnavee Rathod | Analysis | Best Researcher Award

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Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4

 

Ferdib Al Islam | Machine Learning | Excellence in Research

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Mr. Ferdib Al Islam | Machine Learning | Excellence in Research

Assistant Professor, Northern University of Business and Technology Khulna Bangladesh

Ferdib-Al-Islam is an Assistant Professor at Northern University of Business and Technology Khulna, Bangladesh. He holds a Master’s and Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) and Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), respectively. His research expertise encompasses Machine Learning, Deep Learning, IoT, Data Science, and Computer Vision. Ferdib’s career includes experience as a software engineer in IoT R&D and lecturer roles, contributing significantly to academic and research pursuits.

Publication Profile

Google Scholar

🎓 Education

M.Sc. Eng. in Computer Science and Engineering from KUET (2023) – GPA: 3.50. B.Sc. Eng. in Computer Science and Engineering from BSMRSTU (2018) – GPA: 3.55. HSC in Science from Govt. PC College, Bagerhat (2012) – 5.00. SSC in Science from Bagerhat Govt. Secondary School (2010) – 5.00

💼 Experience

Ferdib has progressed from an intern to a Senior Lecturer, and now an Assistant Professor at Northern University of Business and Technology Khulna. He served as a Lecturer in Computer Science and Engineering from March 2020 to January 2024. His career also includes a Jr. Software Engineer role at W3 Engineers Ltd. in the IoT R&D sector. Ferdib brings practical industry experience into his academic roles, fostering innovation and research.

🏆 Awards & Honors

Ferdib has earned notable accolades, including the Gold Award at Semarak International Research Article Competition III 2024 for his work on Autism Spectrum Disorder detection. He also received the Best Paper Award at ICETIS 2021 for his research on Diabetes Mellitus prediction and the Honorable Mention Award at BDML 2020 for his IoT-based health monitoring tool.

🔬 Research Focus

Ferdib’s primary research interests are in Machine Learning, Deep Learning, IoT, Large Language Models, and Computer Vision. His work focuses on the application of AI techniques to healthcare, predictive modeling, and intelligent systems. His aim is to leverage machine learning for real-world applications like healthcare diagnostics, smart monitoring systems, and data-driven insights in various fields.

Conclusion

Ferdib Al-Islam is an exceptional researcher with notable accomplishments in machine learning, deep learning, and IoT. His commitment to advancing knowledge in these areas, demonstrated by his numerous awards and research contributions, marks him as a leading figure in his field. However, fostering greater interdisciplinary collaborations and increasing his global academic presence will be beneficial for his continued growth as a researcher. He is undoubtedly a deserving candidate for the Excellence in Research award, given his dedication, achievements, and potential for further contributions to the scientific community.

Publication Top Notes

  • Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam, MM Islam, MS Al-Rakhami, MR Haque
    • Citation: 73
  • An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters
    • Year: 2021
    • Authors: A Das, SD Katha, MS Sadi, Ferdib-Al-Islam
    • Citation: 31
  • Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, L Akter, MM Islam
    • Citation: 21
  • An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 20
  • Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques
    • Year: 2020
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 19
  • Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 17
  • COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    • Year: 2021
    • Authors: P Saha, MS Sadi, OFMRR Aranya, S Jahan, FA Islam
    • Citation: 9
  • Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning
    • Year: 2022
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 6*
  • Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 4
  • COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients
    • Year: 2022
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 3*
  • Breast Cancer Risk Prediction Using Different Clustering Techniques
    • Year: 2022
    • Authors: L Akter, M Raihan, M Raihan, M Sarker, M Ghosh, N Alvi, Ferdib-Al-Islam
    • Citation: 3
  • Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
    • Year: 2023
    • Authors: MS Sanim, KM Hasan, MM Alam, MAA Walid, MR Islam
    • Citation: 2
  • Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
    • Year: 2023
    • Authors: Ferdib-Al-Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan
    • Citation: 2*
  • An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan
    • Year: 2022
    • Authors: PC Shill
    • Citation: 2

 

 

 

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 📚

SULEMANA SULEMANA | Information systems |Best Researcher Award

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Mr. ‌SULEMANA SULEMANA | Information systems| Best Researcher Award

Mr at ANBARIYA SHS Ghana

Driven by a passion for accounting and business, I aspire to excel as a researcher and educator, aiming for senior lecturer roles in esteemed institutions. With a robust educational background in accounting and teaching experience at Tamale Technical University and Anbariya Senior High School, I possess strong communication skills and proficiency in Microsoft Office Suite. My research contributions, including publications in prestigious journals, reflect my dedication to advancing knowledge in the field. As Audit Committee Chairman of the Ghana Muslim Student Association and General Secretary, I demonstrated leadership and organizational abilities. Committed to excellence, teamwork, and thriving in challenging environments, I seek opportunities to make impactful contributions to the accounting profession.

Profile

 

Career Objective 🚀

My career objective is to embark on a journey as a researcher in the field of accounting and business. Through dedication and contributions, I aim to ascend to the position of a senior lecturer in a higher institution or a researcher in an esteemed international research institution. I am seeking opportunities within fast-growing institutions to establish best practices in accounting, ultimately transforming it into a competitive advantage for organizations.

Vision 👁️

My vision is to become a professional accountant, leveraging my expertise and knowledge to make significant contributions to the field and uphold the highest standards of professionalism.

Educational Background 📚

University for Development Studies MCOM (Accounting) | 2019-2022 University of Education, Winneba Post Graduate Diploma in Education | 2019-2020 University for Development Studies Bachelor of Science in Computing with Accounting (Second Class Upper division) | 2011-2015 Presbyterian Senior High School West African Senior Secondary Certificate | 2007-2011

Working Experience 💼

Tamale Technical University Duration: March 2019 to July 2020Job Title: Part-time Tutor Responsibilities: Lecturing Diploma in Business Studies students on Economics Conducting exams, marking papers, and organizing extra lectures Anbariya Senior High School Duration: May 2018 to DateJob Title: Teacher Responsibilities: Preparation of lesson plans and schemes of work Delivery of lessons in a comprehensible manner Supervision of examinations and project works GN Bank Duration: June 2017 to April 2018Job Title: Accounts OfficerResponsibilities: Customer service and account management Marketing banking services and products Acting as branch manager in the absence of the manager MTN Ghana – Tamasco Office Duration: March 2017 to May 2017Job Title: Agent for Area Development (AAD)Responsibilities: Registration of MTN mobile money subscribers Typing and scanning of registration forms Tamale Polytechnic Duration: September 2015 to February 2016Job Title: Teaching Assistant Responsibilities: Assisting lecturers with teaching and grading Organizing extra lectures for student sVRA /NEDco Duration: July to August 2014Department: Accounts Payable Office Responsibilities: Payment processing and bank reconciliations Verification of payment vouchers National Health Insurance Duration: May to June 2014Department: Public Relations Office Responsibilities: Member registration and card distribution

Public outreach and communication

Personal and Professional Abilities 💡Proficiency in bank reconciliation statement preparation Strong communication skills Competence in Microsoft Office Suite Ability to work effectively in a team Research 📊I have contributed to research on the topic “Mobile infrastructure quality, regulatory quality, government effectiveness: Does e-government development matter?” published in the International Journal of Information Systems and Development. Extra-Curricular Activities 🎉Audit Committee Chairman of Ghana Muslim Student Association (2014/2015)General Secretary of Ghana Muslim Student Association (2013/2014)Assistant Agricultural Prefect at Presbyterian Senior High School (2010/2011)Interests 🌟Excellence and professionalism Collaborative teamwork Thriving in challenging environments Hobbies 🎮Reading Soccer Keeping up with current events through news reading or watching

 

Publications Top Notes 📝

 

Title: Mobile Infrastructure Quality, Regulatory Quality, Government Effectiveness: Does E-Government Development Matter?

Journal: The Electronic Journal of Information Systems in Developing Countries

Date: 2024-04-24

DOI: 10.1002/isd2.12330

Contributors:
  1. Sulemana Inusah
  2. Adam Ibrahim Osman
  3. Salifu Zaruk Narsam

 

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

 

orcid

 

🚀 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