Farhad Hossain Sojib | Data Science | Best Researcher Award

Published on by Network Science

Mr. Farhad Hossain Sojib | Data Science | Best Researcher Award 

University of Hull | Bangladesh

Mr. Farhad Hossain Sojib is an engineer with a strong foundation in electronics and communication engineering and a growing specialization in data science and artificial intelligence. He is currently pursuing his M.Sc. in Artificial Intelligence and Data Science at the University of Hull, United Kingdom, following the completion of his B.Sc. in Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, where he conducted notable research on explainable AI in educational data mining and machine learning applications in 5G antenna optimization. With professional experience as an IELTS Instructor at Lexicon Plus, he has trained over 50 students, developed course materials, and mentored junior instructors. His leadership and organizational skills were further demonstrated through his role as a Program Committee Member at the IEEE Student Branch, HSTU, where he managed events, seminars, and competitions. Additionally, his internship at BRACNet Limited provided hands-on experience in ISP operations, ICT technologies, and server management. Farhad combines his technical expertise, research acumen, and collaborative mindset to contribute meaningfully to the fields of machine learning and data-driven innovation.

Profiles: Orcid 

Featured Publications

"The integration of explainable AI in Educational Data Mining for student academic performance prediction and support systems", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman, Telematics and Informatics Reports, 2025.

"A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension", Md. Emran Biswas; M D. Fazle Hasan Mihad; Farhad Hossain Sojib; Mohammad Jubair Ahmmed; M D Galib Hasan; Md. Jobare Hossain; Md. Abul Basar; Md. Mehedi Islam; Md. Delowar Hossain; Md. Selim Hossain et al., 27th International Conference on Computer and Information Technology (ICCIT), 2024.

"An Explainable Educational Data Mining System for Predicting Student Academic Performance", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman; FARHAD HOSSAIN SOJIB, 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems, 2024.

Anna Crisci | Statistics | Best Research Article Award

Published on by Network Science

Prof. Anna Crisci | Statistics | Best Research Article Award

University of Naples Federico II | Italy

Prof. Anna Crisci is a Research Associate in Statistics at the Department of Economics, Management, and Institutions of the University of Naples Federico II. She earned her PhD in Economics in 2011 at the Second University of Naples (now the University of Campania “Luigi Vanvitelli”), with a dissertation on estimation methods for structural equation models applied to innovation performance in manufacturing firms. Over the years, she has built extensive teaching experience in statistics and market research across leading Italian universities, including Federico II University of Naples, the University of Campania “Luigi Vanvitelli,” and Pegaso Telematic University, delivering both core and supplementary courses at undergraduate and postgraduate levels. She has been actively engaged in organizing and chairing sessions at prestigious international conferences, serving on scientific and organizing committees such as CLADAG 2025, ENBIS 2017, and IRSYSC 2019. Her research contributions and expertise have been recognized with the National Scientific Qualification for Associate Professor (13/D1 – Statistics), editorial board memberships for journals such as Mathematical and Computational Applications (MDPI) and Journal of Applied Quantitative Methods, and guest editorship of special issues on advanced numerical methods. A committed reviewer for high-impact journals including SEPS, Quality & Quantity, and Social Indicators Research, she is also an active member of the Italian Statistical Society and its “Statistics for the Evaluation and Quality of Services” research group. Prof. Crisci’s scholarly activity reflects a strong commitment to advancing statistical methodologies for applied research in economics, management, and social sciences.

Profiles: Orcid ID

Featured Publications

"Decomposition of the Main Effects and Interaction term by using Orthogonal Polynomials in Multiple Non Symmetrical Correspondence Analysis."

"Weighted log ratio analysis by means of Poisson factor models: a case study to evaluate the quality of the public services offered to the citizens."

"The confidence ellipses in decomposition Multiple Non- Symmetrical Correspondence Analysis."

"Estimation methods for the Structural Equation Models: Maximum Likelihood, Partial Least Squares and Generalized Maximum Entropy."

"Permutation Test for group comparison in PLS-Modeling."

Mahdieh Azizian | Machine Learning | Best Researcher Award

Published on by Network Science

Dr. Mahdieh Azizian | Machine Learning | Best Researcher Award

Kerman University of Medical Sciences | Iran

Dr. Mahdieh Azizian is an accomplished scholar in Applied Mathematics with a Ph.D. in Numerical Analysis from Shahid Bahonar University of Kerman, where her doctoral research focused on optimizing dynamical models of tumor control using fuzzy dynamical systems. Building on her earlier M.Sc. and B.Sc. degrees in Applied Mathematics from the same university, she has developed a strong expertise in mathematical modeling, bioinformatics, epidemiology, and cancer research. Over the years, Dr. Azizian has actively contributed as a lecturer and workshop instructor in numerous national and international academic forums, covering topics such as cancer mathematical modeling, numerical methods, data mining, and interdisciplinary applications of mathematics in medical sciences. She has also held key academic and administrative roles, including membership in the Research Council of the School of Medicine and serving as Superintendent of the Statistics Department at Kerman University of Medical Sciences. Recognized for her teaching excellence, she was honored as a Superior Instructor in 2014, in addition to receiving distinctions as a top student during her academic studies. Through her extensive teaching, research, and administrative experiences, Dr. Azizian has established herself as a dedicated educator and researcher at the intersection of mathematics and medical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"An interval version of Black–Scholes European option pricing model and its numerical solution"

"Time Series Model for Forecasting the Prevalence of Some Important Parasitic Infections in Slaughtered Sheep in North-Central Iran"

"Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study"

"A Brief History of Listening Comprehension in Second Language Teaching and Learning"

"An Empirical Study on the Effects of Using Kahoot as a Game-Based Learning Tool on EFL Learners’ Vocabulary Recall and Retention"