Mr. Zaid Altukhi | Explainable AI | Best Researcher Award

Mr. Zaid Altukhi | Explainable AI | Best Researcher Award

University of technology Sydney, Australia.

Zaid M. Altukhi is a PhD student at the University of Technology Sydney (UTS) specializing in Information Systems. With a strong background in data analytics, machine learning, and programming, he has experience as a lecturer and teaching assistant at the Islamic University of Madinah. His research interests include Explainable AI, data-driven decision-making, and computational analytics. Zaid is also an HDR Students Representative at UTS, advocating for research students and contributing to academic committees.

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🎓 Education

Mr. Zaid Altukhi is a dedicated researcher and professional in the field of Information Systems and Data Analytics. He is currently pursuing a PhD in Information Systems at the University of Technology Sydney (2024 - Present) 🇦🇺, where he focuses on advanced research in data-driven decision-making and system optimization. He holds a Master’s in Data Analytics Engineering from George Mason University (2020 - 2022) 🇺🇸, graduating with a GPA of 3.73/4.00, showcasing his strong analytical and computational skills. Prior to that, he earned a Bachelor’s degree in Information Systems from Taibah University (2008 - 2013) 🇸🇦, achieving a GPA of 3.92/5.00. His academic journey reflects a solid foundation in data science, artificial intelligence, and system analysis, preparing him for innovative contributions in the field of Information Systems and Data Analytics.

💼 Experience

Zaid Altukhi is an experienced academic and professional in computing, data science, and visual identity management. From 2022 to 2024, he served as a Lecturer at the Islamic University of Madinah, where he taught undergraduate and postgraduate courses, including Web Application Development, Data Science, and IT in Education. He also contributed to academic and resource committees. Prior to this, he worked as a Teaching Assistant from 2018 to 2022, assisting professors with grading, assignments, and IT-related tasks while mentoring and advising students. Earlier, from 2017 to 2018, he led the Visual Identity Applied Unit at the university, overseeing branding, social media marketing, and graphic design efforts while managing a creative team responsible for public relations and communications.

🔬 Research Interests

🧠 Explainable AI – Enhancing interpretability and transparency in AI-driven education.

📊 Data Analytics & Visualization – Using descriptive and predictive analysis to uncover patterns in datasets.

🛒 Consumer Behavior & Pricing Analytics – Investigating the impact of product color on purchasing decisions.

🚗 Transportation & Public Safety Data – Analyzing car accident trends using computational methods.

🏆 Awards & Recognition

Young Scientist Award for contributions to Cryptography & AI.

Best Data Analytics Research Award at an international conference.

Outstanding Teaching Excellence Award at the Islamic University of Madinah.

📚 Notable Publications

Systematic Literature Review on XAI Technologies (2025), Published in Technologies (MDPI)

DOI: 10.3390/technologies13030093

Co-authored with Sojen Pradhan & Nasser Aljohani

Impact of Product Color on Retail Pricing & Consumer Decisions (2024), Published in Lecture Notes in Networks and Systems

DOI: 10.1007/978-3-031-62277-9_11

Co-authored with Nasser F. Aljohani

Explainable AI Definitions & Challenges in Education (2024), Presented at Forty-Fifth International Conference on Information Systems

Co-authored with Sojen Pradhan

Car Accident Trends in Washington D.C. (2023), Published in International Journal of Advanced Computer Science and Applications

DOI: 10.14569/ijacsa.2023.0140527

Co-authored with Nasser F. Aljohani

 

 

 

Manisha Kasar | Artificial Intelligence | Best Researcher Award

Dr. Manisha Kasar | Artificial Intelligence | Best Researcher Award

Assistant Professor, Bharati Vidyapeeth Deemed to be University College of engineering, Pune, India.

Dr. Manisha M. Kasar is an accomplished researcher and educator in the field of computer engineering, with over 11 years of experience. Her expertise spans facial recognition systems, artificial intelligence, and machine learning. She currently serves as an Assistant Professor at Bharti Vidyapeeth College of Engineering, Pune. Dr. Kasar has made significant contributions to the research community through her innovative work on emotion recognition, AI-based systems, and security applications. She is also the holder of several patents and has published numerous papers in prestigious journals.

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Education 🎓

Dr. Kasar holds a Ph.D. in Information Technology from Bharti Vidyapeeth University, Pune, completed under the VISVESVARAYA Ph.D. Scheme in 2021. She also earned her M.Tech in Computer Engineering from NMIMS in 2014, and a B.E. in Computer Engineering from NMU in 2009. Her strong academic foundation has been pivotal in her research achievements.

Experience 💼

With over 11 years of experience, Dr. Kasar is currently an Assistant Professor at Bharti Vidyapeeth College of Engineering, Pune. She has previously worked at Vishwakarma Institute of Information Technology and as a visiting faculty member at Bharti Vidyapeeth. Her teaching and administrative skills have been recognized through her roles in various academic institutions, and she has contributed to mentoring and guiding students in advanced technology research.

Research Interest 🔍

Dr. Kasar’s research interests include artificial intelligence, machine learning, computer vision, and security systems. Her work primarily focuses on the development of AI-based applications such as facial emotion recognition, gesture-controlled systems, and fraud detection. She is particularly interested in exploring how machine learning models can optimize real-world applications like security systems and video surveillance.

Awards & Patents 🏆

Dr. Kasar is the holder of two significant patents:

Smart Mirror System with Infrared Blaster.

A Method to Identify Suspicious Financial Transactions and Prevent Fraud.

Her innovative work in these areas showcases her commitment to practical problem-solving through technology.

Publications  📚

Kasar, M., “EmoSense: Pioneering Facial Emotion Recognition with Precision Through Model Optimization,” International Journal of Engineering, April 2024. Cited by 1 article. link

Kasar, M., “AI-based Real-time Hand Gesture-Controlled Virtual Mouse,” Australian Journal of Electrical and Electronics Engineering, 2024. Cited by 0 articles. link

Kasar, M., “Use of Convolutional Neural Network and SVM Classifiers for Traffic Signals Detection,” International Journal on Recent and Innovation Trends in Computing and Communication, 2023. Cited by 3 articles. link