Aminul Hoque – Computers in Biology – Best Researcher Award

Posted on by ScienceFather

Aminul Hoque - Computers in Biology - Best Researcher Award

University of Rajshahi - Bangladesh

CURRENT RESEARCH

Md. Aminul Hoque is a distinguished academic with a robust research portfolio spanning several domains. His current research interests encompass Bioinformatics, Medical Informatics, Telemedicine, Systems Biology, and Metabolomics. He delves into Biochemical Engineering and Bioprocess, focusing on Multivariate Analysis, Inferential Statistics, and Machine Learning. His expertise extends to Biostatistics, Bayesian Network Analysis, and Gene Clustering, with a special emphasis on Statistics related to Genetic Data Analysis, Gene Expression Data Analysis, Robust Regression Analysis, Time Series Analysis, and Forecasting. His work also includes Outlier Detection and Dynamic Simulation, contributing significantly to these fields.

EMPLOYMENT RECORDS

Md. Aminul Hoque has an impressive academic career, currently serving as a Professor in the Department of Statistics at the University of Rajshahi, Bangladesh, since August 2011. His previous roles include Adjunct Professor at Pundra University of Science and Technology, JSPS Post Doctoral Research Fellow at Niigata University Medical & Dental Hospital, and Visiting Professor at Tokyo University of Science. His postdoctoral research experience includes a tenure at the Institute of Biological Sciences, University of Malaya. His career began at the University of Rajshahi, where he progressed from Lecturer to Associate Professor.

PROFESSIONAL EXPERIENCE

With over 27 years of teaching and research experience, Md. Aminul Hoque has profoundly impacted undergraduate and graduate education in Statistics and Bioinformatics. His extensive professional background is highlighted by his roles in various prestigious institutions and his contributions to advancing the fields of bioinformatics and statistical sciences.

LANGUAGE SKILLS

Md. Aminul Hoque is proficient in Bangla, his mother tongue, and English, which he speaks, reads, writes, and understands excellently. He has average proficiency in Japanese and basic knowledge of Bahasa, showcasing his ability to engage in diverse academic and professional environments.

MEMBERSHIPS

He is an active member of several professional societies, including the Editorial Board of the Journal of Integrative Computational Biosciences and the International Society for Computational Biology. His leadership roles include serving as Vice President of the Bangladesh Bioinformatics and Computational Biology Association and the Bioinformatics Research Group in Rajshahi University. He is also a Joint Secretary of the Bangladesh Statistical Association and holds life memberships in various statistical and alumni associations.

FUNDS OBTAINED

Md. Aminul Hoque has successfully secured various research grants, including the Ministry of Science and Technology grant for studying the impact of Telemedicine in Bangladesh, and multiple grants from Rajshahi University and international scholarships. His notable funding includes the JSPS Post Doc Research Fellowship, University of Malaya Post Doctoral Research Fellowship, and several scholarships and grants from Japan, demonstrating his ability to attract and manage research resources.

ACHIEVEMENTS

His career is marked by significant achievements, including prestigious fellowships and scholarships from leading institutions. His research contributions and academic roles reflect his dedication to advancing knowledge in bioinformatics, medical informatics, and statistical sciences, reinforcing his reputation as a leading figure in his field.

NOTABLE PUBLICATIONS

scHD4E: Novel Ensemble Learning-Based Differential Expression Analysis Method for Single-Cell RNA-Sequencing Data.

Authors: Biswas, B., Kumar, N., Sugimoto, M., Hoque, M.A.
Year: 2024
Journal: Computers in Biology and Medicine

Socioeconomic Inequality and Urban-Rural Disparity of Antenatal Care Visits in Bangladesh: A Trend and Decomposition Analysis.

Authors: Biswas, B., Kumar, N., Rahaman, M.M., Das, S., Hoque, M.A.
Year: 2024
Journal: PLoS ONE

Title: Securing Vehicle-to-Drone (V2D) Communications: Challenges and Solutions.

Authors: Islam, S.M.R., Hoque, M.A., Hossain, M.
Year: 2024
Book Title: Wireless Networks

Title: Weighted Scaling Approach for Metabolomics Data Analysis.

Authors: Biswas, B., Kumar, N., Hoque, M.A., Alam, M.A.
Year: 2023
Journal: Japanese Journal of Statistics and Data Science

Title: Someone to Watch Over You: Using Bluetooth Beacons for Alerting Distracted Pedestrians.

Authors: Hasan, R., Hoque, M.A., Karim, Y., Schwebel, D.C.
Year: 2022
Journal: IEEE Internet of Things Journal

Dalhatu Muhammed – Computer Science – Best Researcher Award

Posted on by ScienceFather

Dalhatu Muhammed - Computer Science - Best Researcher Award

Institut Supérieur D’electronique De Paris - France

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS

Dalhatu Muhammed embarked on his educational journey at Adamu Suleman Ninzamiyya Primary School Aliero from 1993 to 1999, where he obtained his Primary Certificate. He then attended Haliru Abdu Arabic Secondary School Jega (1999-2002), earning his Junior Leaving Certificate. Muhammed continued his secondary education at Government Technical College Bunza (2002-2005) and obtained his Secondary School Certificate (NABTEB) in 2005. Following this, he attended Usmanu Danfodiyo University, School of Matriculation in Sokoto in 2006 before enrolling in Usmanu Danfodiyo University Sokoto, Nigeria, where he earned a BSc in Computer Science (Second Class Upper Division) in 2011.

Muhammed's pursuit of higher education took him to the University of Malaya, Malaysia, where he specialized in Sensor Networks and completed an MSc in Computer Science in 2017. Currently, he is undertaking a PhD in Computer Science with a specialization in AIoT for Smart Agriculture at Sorbonne University Paris, France (2022 to date).

PROFESSIONAL ENDEAVORS

Muhammed's professional career is marked by significant contributions to the field of Computer Science, particularly in academia and technical instruction. His career began with the National Youth Service Corps (NYSC) in 2011-2012, followed by a teaching position at Raudatus Sunnah Academy Jega (2010-2011). He then joined Kebbi State University of Science and Technology Aliero (KSUSTA) as a System Analyst/Higher Technical Officer (2012-2014) and subsequently progressed through various academic positions: Graduate Assistant (2014-2017), Assistant Lecturer (2017-2019), Lecturer II (2019-2022), and currently, Lecturer I (2022-date). Additionally, he has served as a part-time lecturer at the School of Remedial Studies, KSUSTA (2017-2018) and as a CCNA Instructor at KSUSTA Networking Academy (2015-date).

CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his career, Muhammed has been actively involved in numerous committees and responsibilities, including roles such as Departmental Examination Officer, Secretary of the Departmental Course Allocation Committee, and Chairman of the Departmental Committee on Accreditation Staff Grouping. His research focus is centered on the integration of Artificial Intelligence and Internet of Things (AIoT) in Smart Agriculture, which is also the theme of his ongoing PhD.

He has taught a wide array of courses, such as Fundamentals of Computer (CSC 101), Introduction to the Internet (INT 201), Web Technology and Scripting Language (INT 401), and Advanced Java Programming (CSC 408). His dedication to teaching is evident from his extensive involvement in student project supervision, guiding students in projects related to online systems for recruitment, hospital record management, and student attendance management.

IMPACT AND INFLUENCE

Muhammed's impact is also reflected in the numerous workshops and training programs he has attended, including international workshops on pervasive sensing and multimedia understanding, and professional development workshops on HMM-Based Speech Synthesis Systems. His contributions to academic conferences, such as the International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), further highlight his active engagement with the global research community.

ACADEMIC CITATIONS

Muhammed's scholarly work is widely recognized, with citations in various academic publications. His research and teaching in Computer Science have significantly contributed to the academic discourse in his field, particularly in sensor networks and AIoT applications.

LEGACY AND FUTURE CONTRIBUTIONS

Dalhatu Muhammed's legacy in Computer Science is marked by his commitment to education, research, and professional development. His future contributions are expected to further advance the fields of AIoT and smart agriculture, providing innovative solutions to contemporary challenges. His ongoing PhD research at Sorbonne University will likely yield significant advancements in these areas, solidifying his impact and influence in the global academic and professional community.

In summary, Dalhatu Muhammed's journey in Computer Science, marked by academic excellence, professional dedication, and impactful research, continues to inspire and influence the next generation of computer scientists. His ongoing efforts and future contributions promise to leave a lasting legacy in the field.

NOTABLE PUBLICATION

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions 2024

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System 2023

A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture 2022 (6)

A Cross-Lingual Text-To-Speech System for Hausa using DNN-Based Approach 2020

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs) 2020

Sareer Ul Amin – Computer Science and Engineering – Excellence in Research

Posted on by ScienceFather

Sareer Ul Amin - Computer Science and Engineering - Excellence in Research

Chung Ang University - South Korea

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Sareer Ul Amin embarked on his academic journey at Islamia College Peshawar (ICP), Pakistan, where he pursued a Bachelor of Science in Computer Science, graduating with distinction. His academic excellence continued as he pursued a Master's degree at Chung-Ang University (CAU) in Seoul, Republic of Korea, achieving an outstanding CGPA of 4.18/4.5.

PROFESSIONAL ENDEAVORS

Sareer Ul Amin's professional journey is marked by significant contributions to the field of Computer Science and Engineering. He served as a Research Assistant at the Graphics Realization Lab, CAU, contributing to various industrial and research projects. Prior to this, he held the role of Lab Coordinator at the Digital Image Processing Lab, ICP, where he effectively managed projects and mentored students.

CONTRIBUTIONS AND RESEARCH FOCUS

Sareer Ul Amin's research focus lies in AI & Computer Vision, with a specialization in Advanced Machine Learning, Deep Learning, and Anomaly Detection in Surveillance Video. His research contributions include the development of efficient strategies for anomaly detection, active learning techniques for data annotation, and robust hand gesture recognition systems. His work has been published in esteemed journals and conferences, showcasing his expertise in the field.

IMPACT AND INFLUENCE

Sareer Ul Amin's research findings have had a significant impact on the field of Computer Science and Engineering, particularly in the areas of anomaly detection, image analysis, and machine learning. His publications have garnered citations and recognition, highlighting the relevance and influence of his research contributions in academia and industry.

ACADEMIC CITES

Sareer Ul Amin's research publications have been well-received in the academic community, with his work cited in reputable journals and conferences. His contributions to the development of efficient deep learning models and active learning techniques have advanced the state-of-the-art in computer vision and machine learning.

LEGACY AND FUTURE CONTRIBUTIONS

Sareer Ul Amin's legacy in the field of Computer Science and Engineering is characterized by his dedication to research excellence and innovation. His future contributions are poised to further advance the frontier of AI and Computer Vision, with a focus on addressing complex challenges and developing practical solutions for real-world applications.

NOTABLE PUBLICATION

An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.  2023 (6)

Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach.  2024

Aswani Devi Aguru – Computer Science – Women Researcher Award

Posted on by ScienceFather

Aswani Devi Aguru - Computer Science & Engineering - Women Researcher Award

NIT warangal - India

EARLY ACADEMIC PURSUITS

Aswani Devi Aguru began her academic journey with a Bachelor's degree in Computer Science & Engineering from IIIT Basara, India. Excelling in her studies, she continued her education with a Master's degree from JNTU Kakinada, where she earned a remarkable CGPA of 9.32 and was awarded a Gold Medal. Her academic prowess led her to pursue a Ph.D. in Computer Science & Engineering from the prestigious National Institute of Technology, Warangal, where she is currently in pursuit of advanced research.

PROFESSIONAL ENDEAVORS

With a strong foundation in computer science, Aguru has embarked on a professional journey marked by research and innovation. She has served as a Junior Research Fellow (JRF), contributing significantly to projects focused on cutting-edge technologies such as Deep Learning, Cryptography, Blockchain, and Internet of Things (IoT). Her role in developing real-time solutions, including a prototype for text-to-speech conversion for the visually impaired using deep learning, demonstrates her commitment to leveraging technology for societal benefit.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER SCIENCE & ENGINEERING

Aguru's research focus spans several interdisciplinary domains, including cybersecurity, computer vision, and blockchain technology. Her notable contributions include the development of lightweight intrusion detection mechanisms, trust-based blockchain systems, and innovative frameworks for securing IoT networks. Her research papers have been published in reputable journals and presented at international conferences, showcasing her expertise in addressing contemporary challenges in the field of computer science & engineering.

IMPACT AND INFLUENCE

Aguru's work has left a significant impact on academia and industry, with her research findings contributing to the advancement of cybersecurity protocols, blockchain-enabled solutions, and IoT applications. Her collaborations with peers and co-guidance of projects have facilitated knowledge dissemination and skill development among students and professionals alike. Through lectures and workshops, she has shared her insights and expertise, inspiring the next generation of researchers and practitioners in the field computer science & engineering.

ACADEMIC CITATIONS

Aguru's research publications have garnered citations from peers and experts in the field, underscoring the relevance and significance of her contributions. Her work has been cited in reputable journals and conferences, indicating its recognition and influence within the academic community.

LEGACY AND FUTURE CONTRIBUTIONS

Aswani Devi Aguru's legacy lies in her dedication to advancing the frontiers of computer science & engineering through rigorous research, innovative solutions, and knowledge dissemination. Her future contributions are poised to further propel the field forward, addressing emerging challenges and harnessing the potential of disruptive technologies for societal impact. With her expertise in cryptography, blockchain, and cybersecurity, she remains at the forefront of transformative research, shaping the future of technology-enabled solutions in a rapidly evolving digital landscape.

NOTABLE PUBLICATION

Smart Contract Based Next-Generation Public Key Infrastructure (PKI) Using Permissionless Blockchain.  2022 (1)

A Lightweight DDoS Detection Mechanism in IoT Networks using Entropy and Expectation of Packet Size.  2022 (1)

Integrated Industrial Reference Architecture for Smart Healthcare in Internet of Things: A Systematic Investigation.  2022 (12)