Effat University | Saudi Arabia

PUBLICATION PROFILE

INTRODUCTION

Dr. Eng. Abdulaziz Turki Almaktoom is a highly distinguished academic and professional in the fields of Operations and Supply Chain Management. Holding a Ph.D. in Industrial Engineering, Dr. Almaktoom is known for his exceptional leadership, consultancy expertise, and a profound impact in higher education. As an Associate Professor and Chair of the Business Administration Department at Effat University, he has not only contributed to the academic sphere but also played an integral role in shaping the future of education in Saudi Arabia. His diverse skills span across Operations Management, Supply Chain Management, Data Analytics, Project Management, Risk Management, and many more.

EARLY ACADEMIC PURSUITS

Dr. Almaktoom’s academic journey began with a keen interest in engineering and operations, leading him to pursue a Bachelor’s in Engineering Technology at Riyadh College of Technology. He continued to excel in his studies, earning a Master’s degree in Engineering Technology from Pittsburg State University, USA, before pursuing a Ph.D. in Industrial Engineering from Wichita State University, USA. His doctoral research focused on the reliability, robustness, and resilience of complex supply chain systems, showcasing his deep commitment to innovative solutions in operations.

PROFESSIONAL ENDEAVORS

Dr. Almaktoom’s career is marked by a seamless blend of academia and industry. He has held significant roles such as Associate Professor, Chair of the Business Administration Department at Effat University, and Consultant for several prestigious firms in Saudi Arabia. His expertise spans across Project Management (PMP®), Risk Management (RMP®), Lean Six Sigma, and Supply Chain Analysis (CSCA®), making him a sought-after figure in both the education and business sectors. His contributions have led to the development of cutting-edge programs and curricula, helping shape future leaders in business administration and engineering.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Almaktoom’s research interests lie primarily in Operations and Supply Chain Management, with a focus on optimization techniques, systems simulation, forecasting, lean and six sigma, and quality control. He has published over 50 scientific articles in renowned international journals and conferences, contributing significantly to the field’s knowledge base. Dr. Almaktoom is particularly known for leveraging advanced methodologies like Artificial Intelligence, Metaheuristics, and Data Analytics to drive forward-thinking solutions in supply chain management.

IMPACT AND INFLUENCE

Through his innovative approach to curriculum design and leadership, Dr. Almaktoom has created a lasting impact on the education sector. He has been instrumental in the development of new programs, including Ph.D. and B.Sc. degrees in Operations and Supply Chain Management and Entrepreneurship. His influence extends beyond academia through his involvement with various organizations like the IEOM Society International and his role as an advisor and mentor to numerous students, helping them succeed both academically and professionally. His research and teaching continue to inspire students and professionals alike.

ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Almaktoom has gained significant recognition in the academic world for his publications, which have earned him numerous citations. Ranked among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia in 2024, his work continues to influence both the academic and professional communities. His research papers, especially those related to supply chain optimization and risk management, have been highly regarded and cited by peers in the industry.

HONORS & AWARDS

Throughout his career, Dr. Almaktoom has received numerous prestigious awards. These include being recognized as the Best Graduate Student at Wichita State University in 2015, the recipient of multiple international honors, and being ranked among the top scientists in Saudi Arabia in 2024. His accolades also include recognition for his academic excellence, including awards such as the Alpha Pi Mu Industrial Engineering Honor Society and membership in various elite organizations such as the Golden Key International Honor Society.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Almaktoom’s work has already established a strong legacy in the academic and professional sectors. His pioneering role in developing innovative programs and guiding students to success continues to set a high standard for excellence. Looking forward, he aims to further contribute to the research and development of sustainable and efficient solutions in operations and supply chain management, particularly through emerging technologies like AI and machine learning.

FINAL NOTE

Dr. Abdulaziz Turki Almaktoom’s career exemplifies the power of dedication, innovation, and leadership in academia and industry. With a robust track record of impactful contributions in education, research, and professional development, Dr. Almaktoom’s legacy will undoubtedly continue to inspire future generations of students, researchers, and professionals across the globe. His forward-thinking approach and commitment to excellence ensure that his influence will resonate for years to come.

TOP NOTES PUBLICATIONS

Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things

- Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed
- Journal: IEEE Access
- Year: 2024

Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things”

- Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed
- Journal: IEEE Access
- Year: 2024

Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems

- Authors: M. Bezoui, A. Kermali, A. Bounceur, S.M. Qaisar, A.T. Almaktoom
- Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Year: 2024

Hybrid Metaheuristics for Industry 5.0 Multi-Objective Manufacturing and Supply Chain Optimization

- Authors: M. Bezoui, A.T. Almaktoom, A. Bounceur, S.M. Qaisar, M. Chouman
- Journal: 21st International Learning and Technology Conference: Reality and Science Fiction in Education, L and T 2024
- Year: 2024

Multiple criteria decision-making for determining the optimal wind farm site under uncertainty

- Authors: A.T. Almaktoom, M.M. Samkari
- Journal: International Journal of Critical Infrastructures
- Year: 2024

Prithi Madhavan | Deep Learning | Best Researcher Award

Posted on 01/04/202501/04/2025 by ScienceFather

Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

PUBLICATION PROFILE

Orcid

Scopus

INTRODUCTION

MS. PRITHI MADHAVAN is a seasoned educator and researcher with over 12 years of experience in the field of computer applications, specializing in areas such as machine learning, deep learning, and artificial intelligence. With a strong academic background and hands-on experience in teaching, she has played a pivotal role in shaping the future of students through innovative teaching methods. Prithi’s professional journey reflects her dedication to excellence in both academia and technology. She is currently serving as the Head of the Department and Assistant Professor at Marudhar Kesari Jain College for Women, Vaniyambadi, Tamil Nadu.

EARLY ACADEMIC PURSUITS

MS. PRITHI MADHAVAN embarked on her academic journey with a Bachelor of Computer Applications (BCA) in 2010, followed by a Master of Computer Applications (MCA) in 2013. She later completed her Master of Philosophy (M.Phil) in 2014 and is currently pursuing her Ph.D. in Deep Learning, having submitted her thesis and awaiting the viva. Her academic excellence and passion for learning laid the foundation for her thriving career in higher education and research.

PROFESSIONAL ENDEAVORS

WORK EXPERIENCE: With more than 12 years of experience, Prithi has contributed significantly to both teaching and administrative roles. She has been serving as the Head of the Department of Computer Applications and as an Assistant Professor at Marudhar Kesari Jain College for Women since June 2013. Additionally, Prithi has held leadership roles, including serving as the College and Career Coordinator, Board of Studies Member, and acting as a coordinator for various academic and extracurricular programs. She played a vital role in organizing the Smart India Hackathon 2022, where the college team made it to the finals in Sikkim.

CONTRIBUTIONS AND RESEARCH FOCUS

RESEARCH AND INNOVATION: Prithi is deeply involved in research, particularly in machine learning, deep learning, and artificial intelligence. She has contributed to various fields, including retail sector analytics, human resource management systems, and robotics. Her research papers have been published in reputed journals such as Springer, Scopus, and the International Journal of Intelligent Systems and Applications in Engineering. Her works focus on the application of AI in solving real-world problems, including customer information systems, speech emotion recognition, and churn detection in retail industries.

IMPACT AND INFLUENCE

ACADEMIC IMPACT: Prithi’s impact as an educator is evident through her commitment to providing quality education and shaping future leaders in the field of computer science. She has mentored over 20 postgraduate (PG) and 15 undergraduate (UG) students’ research projects. Additionally, her involvement in various national and international workshops, seminars, and conferences has allowed her to influence the broader academic community. She is recognized for her exceptional teaching skills, having achieved a perfect score of 100 for six students in her machine learning and AI courses.

ACADEMIC CITATIONS AND PUBLICATIONS

SCHOLARLY WORK: Prithi has a significant presence in the academic world with a number of published papers and books. Her work has been cited in various scholarly journals, and she has an impressive academic record. She has also contributed to books on topics like machine learning, deep learning, and cyber security. Notably, her research on facial recognition and marketing analytics has garnered international attention. Her Google Scholar, ORCID, and Scopus profiles further showcase her contributions to academia.

HONORS & AWARDS

ACHIEVEMENTS AND RECOGNITIONS: Prithi has received several accolades throughout her career. Some notable honors include the Best Faculty Award from Educational Excellence Award in 2021, the Excellence Competencies in Education World Award, and the Greater Educator Award from TIP for Education. She was also recognized with the “Kural Semmal Virthu” from the Pasumal Foundation and has been honored by various academic institutions for her contributions to education and research.

LEGACY AND FUTURE CONTRIBUTIONS

LEADERSHIP AND VISION: Prithi’s future goals involve continuing her research in machine learning and deep learning while mentoring the next generation of computer science professionals. As an innovation ambassador and academic leader, she is dedicated to shaping educational policies and curriculum development that foster growth and creativity. Her leadership within the Institution’s Innovation Council (IIC) has helped the college achieve prestigious awards and recognition for its innovation efforts.

FINAL NOTE

LOOKING FORWARD: As Prithi continues to shape the future of academia, her efforts are poised to leave a lasting impact on both the educational and technological landscapes. Her commitment to excellence in research, teaching, and innovation will undoubtedly inspire future generations of students and professionals in the field of computer science. Her journey is a testament to her passion for education, innovation, and making a difference in the world of academia and beyond.

TOP NOTES PUBLICATIONS

Utilizing Machine Learning for Speech Emotion Recognition

- Authors: Prithi, M.; Sankari, M.; Shinde, J.P.; Kumar, R.; Deepak, A.; Pokhariya, H.S.; Shrivastava, A.
- Journal: International Journal of Intelligent Systems and Applications in Engineering
- Year: 2024

Churn Detection Using Machine Learning in the Retail Industry

- Authors: Prithi Madhavan; K. Tamizharasi
- Journal: International Journal of Engineering Technology and Management Sciences
- Year: 2023

Revolutionizing Retail: Machine Learning Applications for Enhanced Customer Experience and Operational Efficiency

- Authors: Prithi M; Tamizharasi K
- Journal: International Journal of Engineering Technology and Management Sciences
- Year: 2023

Using Artificial Intelligence and Deep Learning Methods to Analyze the Marketing Analytics and Its Impact on Human Resource Management Systems

- Authors: Gambhir, V.; Asnate-Salazar, E.; Prithi, M.; Alvarado-Tolentino, J.; Tongkachok, K.
- Journal: Communications in Computer and Information Science
- Year: 2022

Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Posted on 25/03/202525/03/2025 by ScienceFather

Dr. Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Imperial College London | United Kingdom

Publication Profile

Scopus

Orcid

Google Scholar

Summary

Dr. Benjamin H. W. Teo is a dedicated researcher with a focus on sustainable energy technologies, adsorption science, and additive manufacturing. Currently a UKRI Postdoctoral Fellow at Imperial College London, he explores solar technology performance and its integration with other renewable systems. Dr. Teo’s research also extends to polymer crystallization, Metal-Organic Frameworks (MOFs), and their applications in energy systems. With over 18 published journal articles and several international conference presentations, he has become a leading expert in his field, combining theoretical modeling with practical, industry-oriented solutions to address climate change.

Education

Dr. Teo completed his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore (2014-2019). His doctoral research focused on the green synthesis and modulation of MOFs to enhance water adsorption properties for cooling applications. Prior to this, he earned a Bachelor’s degree in Mechanical Engineering with First Class Honours from NTU (2011-2014), and a Diploma in Mechatronics from Temasek Polytechnic, Singapore (2006-2009).

Professional Experience

Dr. Teo’s professional career has been marked by key roles in leading institutions. As a UKRI Postdoctoral Fellow at Imperial College London (Sep 2023 – Present), he investigates solar cell performance in combination with sustainable technologies and conducts advanced heat transfer simulations. From 2019 to 2023, he worked as a Research Fellow at Nanyang Technological University, leading studies on polymer crystallization in additive manufacturing and contributing to industry collaborations. He also held the role of Project Officer (2019) at NTU, where he conducted extensive research on water adsorption in MOFs and zeolites for cooling system applications.

Academic Cites & Publications

Dr. Teo has contributed extensively to the academic community with 18 journal publications, including 10 as the first author. His work covers topics such as MOF-based adsorption cooling systems and additive manufacturing, with publications in prestigious journals like Applied Thermal Engineering and Journal of Industrial and Engineering Chemistry. His research has garnered significant attention, evidenced by citations in high-impact journals. He has also shared his findings at numerous international conferences, including as an invited keynote speaker.

Technical Skills

Dr. Teo possesses a wide range of technical skills, including material characterization techniques like X-ray diffraction (XRD), BET nitrogen adsorption, and scanning electron microscopy (SEM). He is proficient in computational modeling, utilizing Grand Canonical Monte Carlo (GCMC) simulations, phase-field modeling, and thermodynamic frameworks via MATLAB. His expertise also extends to additive manufacturing, where he studies polymer crystallization, melt flow viscosity, and their implications for 3D printed materials.

Teaching Experience

Dr. Teo has a strong background in teaching, currently serving as a Graduate Teaching Assistant at Imperial College London (Apr 2024 – Present), where he leads revision lectures and tutorials on Fluid Mechanics. He also volunteered as a Tutor at Nanyang Technological University (Aug 2022 – May 2023), receiving exceptional student feedback. As a Research Mentor, he has guided over 30 students through their final-year projects, with many achieving high academic success. Additionally, he taught Gas Turbine Engine Labs and other courses during his time at NTU, earning recognition for his effective teaching.

Research Interests

Dr. Teo’s research interests include sustainable energy technologies, particularly solar photovoltaic systems and their integration with other green technologies. He is also deeply involved in additive manufacturing, especially in studying polymer crystallization and its impact on the mechanical properties of 3D printed materials. Additionally, his work in adsorption science focuses on the development of MOFs for water adsorption and cooling applications, aiming to enhance energy efficiency and contribute to climate change mitigation strategies.

Top Notes Publications

Mesoscale simulations of spherulite growth during isothermal crystallization of polymer melts via an enhanced 3D phase-field model

- Authors: Weidong Li, How Wei Benjamin Teo, Kaijuan Chen, Jun Zeng, Kun Zhou, Hejun Du
- Journal: Applied Mathematics and Computation
- Year: 2023

Investigation of polyamide 12 isothermal crystallization through the application of the phase‐field model

- Authors: How Wei Benjamin Teo, Van Thai Tran, Kaijuan Chen, Kim Quy Le, Hejun Du, Jun Zeng, Kun Zhou
- Journal: Polymers for Advanced Technologies
- Year: 2023

Effects of build positions on the thermal history, crystallization, and mechanical properties of polyamide 12 parts printed by Multi Jet Fusion

- Authors: H. W. B. Teo
- Journal: Virtual and Physical Prototyping
- Year: 2022

Non-isothermal crystallization behaviour of polyamide 12 analogous to multi-jet fusion additive manufacturing process

- Authors: H. W. B. Teo
- Journal: Polymer
- Year: 2021

Experimental and modeling investigation on the viscoelastic-viscoplastic deformation of polyamide 12 printed by Multi Jet Fusion

- Authors: H. W. B. Teo
- Journal: International Journal of Plasticity
- Year: 2021