Mona Ebadi Jalal | Computer Science | Best Researcher Award

Posted on 26/08/202426/08/2024 by Book of Award

Ms. Mona Ebadi Jalal | Computer Science | Best Researcher Award

University of Louisville | United States

Author Profile

Early Academic Pursuits 🎓

Ms. Mona Ebadi Jalal's academic journey is marked by excellence and dedication. She is currently pursuing a PhD in Computer Science at the University of Louisville, where she maintains a perfect GPA of 4.00. Her research focuses on the cutting-edge fields of Machine Learning and Deep Learning, under the guidance of Professor Adel Elmaghraby. Prior to this, she earned a Master’s Degree in Information Technology Engineering from K. N. Toosi University of Technology (KNTU) in Tehran, Iran, where she graduated with an impressive GPA of 17.75/20. Her master’s thesis involved developing a novel deep learning model using recurrent neural networks to forecast incoming call volumes in call centers, a project that earned a perfect grade of 20/20. She also holds a Bachelor’s Degree in Computer Engineering - Software from Payame Noor University in Hamedan, Iran, where she developed a patient information management system for a hospital as part of her thesis.

Professional Endeavors 💼

Ms. Ebadi Jalal’s professional career is equally distinguished. She is currently a PhD Fellow and Research Assistant at the University of Louisville, where she conducts in-depth research in customer behavior analysis, medical image analysis, and diagnostics prediction, utilizing advanced Machine Learning and Deep Learning methods. Before pursuing her PhD, she worked as an IT Consultant specializing in SAP ABAP and Business Data Analysis at Naghshe Aval Keyfiat (NAK) and Faraz Andishan Hesab Companies in Tehran, Iran. During this period, she designed and implemented custom solutions within the SAP framework, conducted thorough analyses of business processes, and managed end-to-end project lifecycles. She has also served as a Software Developer, developing and maintaining web applications and managing relational databases.

Contributions and Research Focus 🔬

Ms. Ebadi Jalal’s contributions to the field of computer science are significant and diverse. Her research primarily focuses on the application of Machine Learning and Deep Learning to customer behavior analysis and medical diagnostics. She has developed predictive models for call center operations and contributed to the advancement of personalized marketing through counterfactual analysis. Her recent work includes a deep learning framework for abnormality detection in nailfold capillary images, which has the potential to revolutionize diagnostics in medical imaging.

Accolades and Recognition 🏅

Ms. Ebadi Jalal’s academic and professional achievements have been recognized with numerous awards and honors. She was awarded a prestigious fellowship for her PhD studies at the University of Louisville in 2022. During her time at K. N. Toosi University of Technology, she was nominated for the Superior Student Researcher honor in 2014. Additionally, she ranked in the top 1% in Iran’s nationwide graduate-level entrance exam in Information Technology Engineering in 2012 and received a national graduate-level full scholarship.

Impact and Influence 🌍

Ms. Ebadi Jalal’s work has had a profound impact on both academia and industry. Her research has led to new insights in customer behavior analysis and medical image diagnostics, influencing the development of more effective marketing strategies and diagnostic tools. As a peer reviewer for several prestigious journals, including IEEE Access and Scientific Reports, she contributes to the advancement of knowledge in her field by ensuring the quality and rigor of published research.

Legacy and Future Contributions 🌟

Ms. Ebadi Jalal is poised to leave a lasting legacy in the field of computer science. Her ongoing research in machine learning and deep learning holds the potential to drive significant advancements in both customer behavior analysis and medical diagnostics. With her strong academic background, extensive professional experience, and numerous accolades, she is well-positioned to continue making groundbreaking contributions to the field in the years to come. Her future work will likely influence the next generation of researchers and practitioners, further solidifying her impact on the world of technology.

Publications

Artificial Intelligence Algorithms in Nailfold Capillaroscopy Image Analysis: A Systematic Review

Journal: MedRxiv
Year: 2024
Authors: Emam, Omar S.; Jalal, Mona Ebadi; Garcia-Zapirain, Begonya; Elmaghraby, Adel S.

Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Year: June 2024
Authors: Mona Ebadi Jalal; Adel Elmaghraby

Forecasting Incoming Call Volumes in Call Centers with Recurrent Neural Networks

Journal: Journal of Business Research
Year: November 2016
Authors: Mona Ebadi Jalal; Monireh Hosseini; Stefan Karlsson

Analysis of Customer Behavior in Purchasing and Sending Online Group SMS Using Data Mining Based on the RFM Model

Journal: Sharif Journal of Industrial Engineering & Management
Year: February 20, 2016
Authors: Mona Ebadi Jalal; Somayeh Alizadeh

Akira Aikawa | Computer Science | Best Researcher Award

Posted on 27/06/202427/06/2024 by Book of Award

Dr. Akira Aikawa | Computer Science | Best Researcher Award

Railway Technical Research Institute (RTRI) | Japan

Author Profile

Scopus

Early Academic Pursuits

Dr. Akira Aikawa pursued his higher education at Kyushu University, Japan, where he specialized in Railway Track Dynamics, Granular Mechanics, and In-situ Measurement. His academic journey culminated in a PhD, establishing a solid foundation for his future contributions to railway engineering and dynamics.

Professional Endeavors

Dr. Aikawa's career began in academia as an Assistant Professor in the Faculty of Engineering at Kyushu University (1987-1993). He then transitioned to the Institute of National Colleges of Technology, Japan, where he served as an Associate Professor from 1993 to 2006. Since 2006, Dr. Aikawa has been associated with the Railway Technical Research Institute (RTRI), Japan, contributing significantly to the field of railway engineering.

Contributions and Research Focus

Dr. Aikawa's research primarily focuses on the dynamics of railway tracks, the behavior of granular materials, and in-situ measurement techniques. His work on the "Elastic discrete element analysis of natural vibration characteristics and settlement behavior of railway ballasted track" is a testament to his expertise and contributions in this domain. His research has provided valuable insights into the stability and efficiency of railway systems, impacting both theoretical knowledge and practical applications.

Accolades and Recognition

Dr. Aikawa's professional recognition includes his role as a Fellow Member of the Japan Society of Civil Engineers (JSCE). He also served as a Road Disaster Prevention Doctor for Japan's Ministry of Land, Infrastructure, Transport, and Tourism from 1999 to 2006, highlighting his expertise and dedication to public safety and infrastructure resilience.

Impact and Influence

Dr. Aikawa's work has had a profound impact on the field of railway engineering, particularly in understanding the complex behaviors of railway tracks and materials. His research has informed best practices and innovations in railway construction and maintenance, enhancing the safety and reliability of railway systems in Japan and beyond.

Legacy and Future Contributions

Dr. Aikawa's legacy is characterized by his extensive contributions to railway dynamics and his role in shaping the future of railway engineering. His ongoing work at RTRI ensures that he remains at the forefront of technological advancements and research in railway systems. As a respected figure in his field, Dr. Aikawa's influence will continue to inspire future generations of engineers and researchers.

Notable Publications

Dynamic vehicle-track interaction with multiple short rail defects over long wavelength track settlement 2019

Development of Viscoelastic Multi-Body Simulation and Impact Response Analysis of a Ballasted Railway Track under Cyclic Loading 2017 (10)

Merve Asiler | Computer Science | Best Researcher Award

Posted on 31/05/202404/06/2024 by Book of Award

Ms. Merve Asiler | Computer Science | Best Researcher Award

Middle East Technical University | Turkey

Author Profile

Orcid

Googler Scholar

Early Academic Pursuits

Ms. Merve Asiler's academic journey began with an impressive performance at Yıldırım Beyazıt Science High School in Ankara, Turkey, where she graduated at the top of her class. She continued her education at the Middle East Technical University (METU) in Ankara, Turkey, earning dual bachelor's degrees in Computer Engineering and Mathematics. During her undergraduate studies, she developed a strong interest in algorithms, computer organization, operating systems, and computer graphics. She pursued her Master’s degree in Computer Engineering at METU, specializing in Big Data and Graph Databases, and is currently working towards her Ph.D. in Computer Engineering with a focus on Computer Graphics, Computational Geometry, and Digital Geometry Processing.

Professional Endeavors

Merve Asiler has accumulated extensive professional experience in both academia and industry. She has worked as a Research and Teaching Assistant at METU, where she has contributed to various courses, including Introduction to Computer Engineering Concepts, C Programming, Algorithms, and Computer Engineering Design. Her industry experience includes roles as a Software Developer at Accelerate Simulation Technologies, Turkish Aerospace, and Kale Yazilim. These roles involved developing software for unmeshed CAD geometries, engaging in modeling and simulation activities, and handling complex queries in large graph databases using Neo4j.

Contributions and Research Focus

Ms. Asiler's research primarily revolves around computer graphics, computational geometry, and digital geometry processing. Her Ph.D. research focuses on geometric kernel computation in 3D space, developing algorithms that outperform current methods for kernel computation. Her Master's research involved developing BB-Graph, a new subgraph isomorphism algorithm for querying big graph databases. This work was done in collaboration with Kale Yazilim and demonstrated significant performance improvements over existing algorithms.

Accolades and Recognition

Ms. Asiler has been recognized for her academic excellence with a GPA of 3.93/4.00 in her Ph.D. studies and 3.71/4.00 in her Master's program. She has published significant research papers, including a study on 3D geometric kernel computation in polygon mesh structures and a subgraph isomorphism algorithm for querying big graph databases. Her work has been published in reputable journals like Computers & Graphics and the Journal of Big Data.

Impact and Influence

Ms. Asiler's contributions to computer science, particularly in the areas of computer graphics and big data, have had a significant impact on both academia and industry. Her research on geometric kernels and graph databases has advanced the understanding and application of these complex areas. As a teaching assistant, she has influenced and mentored numerous students, preparing original programming assignments and supervising student projects.

Legacy and Future Contributions

Looking ahead, Ms. Asiler plans to leverage her expertise in mesh kernels to explore novel solutions for non-self-intersecting shape interpolation and star-shape decomposition problems. Her future contributions are likely to continue pushing the boundaries of computational geometry and computer graphics, benefiting both academic research and practical applications in various industries. With her strong foundation and ongoing commitment to research, Ms. Asiler is poised to make lasting contributions to the field of computer science.

Notable Publications

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases 2022 (3)

Moparthi Nageswara Rao | Engineering | Best Researcher Award

Posted on 28/05/202428/05/2024 by Book of Award

Dr. Moparthi Nageswara Rao | Engineering | Best Researcher Award

KL University | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Moparthi Nageswara Rao embarked on his academic journey with a strong foundation in computer science. He holds a B.Sc. in Computer Science from Acharya Nagarjuna University, India, followed by an M.Sc. in Computer Science from Bharatidasan University, India. Further enhancing his expertise, he pursued an M.Tech. in Computer Science & Engineering from Acharya Nagarjuna University, India. Dr. Rao culminated his formal education with a Ph.D. in Computer Science & Technology from Sri Krishnadevaraya University, India, specializing in Machine Learning, Software Engineering, and Data Mining.

Professional Endeavors

Currently serving as a Professor and Deputy Head of the Department in Computer Science and Engineering at KL University, India, Dr. Moparthi Nageswara Rao boasts over 22 years of experience in both the IT industry and academia. His professional journey includes significant roles such as Project Lead in the IT industry, where he developed innovative applications and software solutions for prominent companies including Birlasoft India (P) Ltd, IBM India Pvt. Ltd, Mphasis An HP Company, and Info Plus Technologies, USA. In academia, he has held positions at Velagapudi Ramakrishna Siddhartha Engineering College and KL University, where he has been instrumental in research, teaching, and mentoring students in various computer science disciplines.

Contributions and Research Focus

Dr. Rao's research and contributions span across several key areas in computer science, including data mining and machine learning, where he has developed models and techniques for efficient data processing and analysis; software engineering, advancing methodologies and practices in software development; and the Internet of Things (IoT), exploring the integration of IoT technologies in various applications. Additionally, he has played a pivotal role in curriculum development, designing and implementing innovative educational techniques and strategies. His research has been widely recognized, with numerous articles published in top-tier academic journals, including those indexed in SCI and Scopus.

Accolades and Recognition

Dr. Rao's excellence in research and teaching has been recognized through numerous awards and honors, including the Best Teacher Award (2018), Award of Excellence in Research (2020) by Novel Research Academy, and Outstanding Reviewer Awards from Inderscience, Springer, and Elsevier. Additionally, he received the One Team One Dream Award from IBM India, Spot Award from Mphasis, and Best Performer of the Month Award from Sony India. Dr. Rao has authored 43 publications, including 14 SCI-indexed and 20 Scopus-indexed articles, published two books, and holds three patents, one of which has been granted. His contributions to industrial projects include leading funded initiatives such as augmented reality applications for real estate and systems for diagnosing diabetic retinopathy.

Impact and Influence

Dr. Rao has made a substantial impact in both the academic and industrial sectors through his dedicated efforts in student mentoring and development, guiding numerous Ph.D., M.Tech., and B.Tech. students in their academic and research pursuits. He has fostered industry collaboration, developing practical applications and solutions, such as augmented reality applications and medical diagnostic systems. Additionally, Dr. Rao has significantly contributed to academic quality and standards by actively participating in accreditation and certification duties, ensuring the institutions he is affiliated with maintain high standards of education and research.

Legacy and Future Contributions

Dr. Rao's legacy in the field of computer science is marked by his commitment to education, research, and innovation. His future contributions are anticipated to further advance the integration of technology in education and industry. With a focus on cutting-edge technologies such as AI, ML, and IoT, he is poised to continue influencing the next generation of computer scientists and engineers.

Notable Publications

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data 2024 (3)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture 2024

An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework 2024

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT 2023 (1)

Sultan Shoaib | Engineering | Best Researcher Award

Posted on 27/05/202427/05/2024 by Book of Award

Assoc Prof Dr. Sultan Shoaib | Engineering | Best Researcher Award

Wrexham University, Wales | United Kingdom

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Sultan Shoaib's academic journey began with a Bachelor's degree in Communication Systems Engineering from the Institute of Space Technology, Islamabad, Pakistan. He excelled in courses such as Telecommunication, Satellite Communication, Mobile Communication, and Antennas and Microwaves. His undergraduate projects showcased his early aptitude for practical and innovative engineering solutions, including the design and testing of antennas for satellite communication and RFID applications. Dr. Shoaib furthered his education by earning a Ph.D. in Electronics Engineering from Queen Mary University of London, specializing in MIMO Antennas for mobile handset and tablet applications. His doctoral research, funded by the university, laid the foundation for his expertise in high-frequency electronic devices and circuits.

Professional Endeavors

Dr. Shoaib's professional career is marked by significant teaching and research roles. Since 2019, he has been a Senior Lecturer at Wrexham University in Wales, where he teaches Electrical, Electronics, and Communication Engineering courses across various levels, from undergraduate to Ph.D. students. His responsibilities also include supervising industrial projects, final year projects, and MSc dissertations. Dr. Shoaib has a wealth of experience in designing and testing high-frequency electronic devices and circuits for mobile communication, wireless sensing, and digital health technologies. He has previously served as an Assistant Professor at HITEC University, Taxila, Pakistan, where he coordinated postgraduate programs and collaborated on research projects focusing on antennas for future wireless terminals.

Contributions and Research Focus

Dr. Shoaib's research primarily revolves around the design and testing of antennas and high-frequency electronic devices. His contributions include the development of MIMO antennas for mobile terminals, antennas for vehicular radar systems, and AI-based residential energy management systems. He has actively collaborated with renowned institutions and researchers worldwide, including the University of Huddersfield and the University of Glasgow. His research interests extend to advanced nanomaterials, photoluminescent nanofibers, and electrospinning techniques. Dr. Shoaib has also contributed significantly to the field through numerous peer-reviewed publications, conference presentations, and book chapters.

Accolades and Recognition

Throughout his career, Dr. Shoaib has received several prestigious awards and recognitions. His scholarly activities have earned him a strong presence in academic circles, with numerous citations and a high h-index. Dr. Shoaib is also a Fellow of the Higher Education Academy (FHEA) and a Senior Member of IEEE, reflecting his dedication to academic excellence and professional development.

Impact and Influence

Dr. Shoaib's impact extends beyond his research contributions. As an educator, he has influenced numerous students and young researchers, guiding them through complex projects and fostering a culture of innovation and critical thinking. His role in curriculum design, academic administration, and organization of seminars and workshops has significantly enriched the educational experience at his institutions. Dr. Shoaib's collaborations with industry and academia have facilitated the practical application of research findings, bridging the gap between theoretical knowledge and real-world solutions.

Legacy and Future Contributions

Dr. Shoaib's legacy is defined by his commitment to advancing the fields of electrical and electronic engineering through innovative research and dedicated teaching. His ongoing projects and future research endeavors aim to explore new frontiers in wireless communication, digital health technologies, and high-frequency device applications. As he continues to mentor the next generation of engineers and researchers, Dr. Shoaib's contributions are poised to leave a lasting impact on the scientific community and the broader field of engineering. His vision for the future includes expanding interdisciplinary research collaborations and integrating emerging technologies to address global challenges in communication and healthcare.

Notable Publications

2-Dimensional (2D) Beam Steering-Antenna Using Active PRS for 5G Applications 2022 (2)

Array Antenna for Wireless Access Points and Futuristic Healthcare Devices 2022 (2)

Quad sector HMSIW tapered slot antenna array for millimeter-wave applications 2021 (2)

A High Gain Flexible Antenna for Biomedical Applications 2020 (8)