Dr. Md. Tarek Habib | Computer Science | Best Researcher Award

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Assist. Prof. Dr. Md. Tarek Habib | Computer Science | Best Researcher Award

Assist. Prof. Dr. Md. Tarek Habib Independent University, Bangladesh

Dr. Md. Tarek Habib is an Assistant Professor in the Department of Computer Science and Engineering at Independent University, Bangladesh. With a strong passion for teaching and research, his objective is to enhance his expertise in the field of Computer Science and Engineering. His research interests include Artificial Intelligence, with a focus on Computer Vision, Machine Learning, and Natural Language Processing, as well as IoT and E-Commerce. Dr. Habib is dedicated to advancing knowledge and innovation in these domains, contributing to both academia and industry through his research and mentorship.

Education:

Doctor of Philosophy (Ph.D.) in Computer Science and Engineering

Institution: Jahangirnagar University, Bangladesh

Year: 2022

Thesis Title: Machine Vision Based Fruit Disease Recognition

Supervisor: Prof. Dr. Mohammad Shorif Uddin

Co-Supervisor: Prof. Dr. Farruk Ahmed (Independent University, Bangladesh)

Master of Science (M.S.) in Computer Science and Engineering

Institution: North South University, Bangladesh

Year: 2009

CGPA: 3.85 on a scale of 4.0

Thesis Title: Machine Vision Based Textile Defects Classification

Supervisor: Prof. Dr. M. Rokonuzzaman

Bachelor of Science (B.Sc.) in Computer Science

Institution: BRAC University, Bangladesh

Year: 2006

CGPA: 3.74 on a scale of 4.0

Award: Vice Chancellor’s Medal

Thesis Title: A Survey on Location Systems for Ubiquitous Computing

Supervisor: Prof. Dr. Matin Saad Abdullah

Higher Secondary Certificate (HSC)

Institution: SOS Hermann Gmeiner College, Dhaka Board

Year: 2000

Division: 2nd Division (Science Group)

Total Marks: 567 out of 1000

Secondary School Certificate (SSC)

Institution: Sher-e-Bangla Nagar Govt. Boys’ High School, Dhaka Board

Year: 1998

Division: 1st Division with Star Marks (Science Group)

Total Marks: 823 out of 1000

Professional Profiles:

ORCID Profile

Scopus Profile

Professional Experience:

Assistant Professor, Department of Computer Science and Engineering

Independent University, Bangladesh January 2023

Associate Professor, Department of Computer Science and Engineering
Daffodil International University, Bangladesh (January 2023 – January 2023)

Assistant Professor, Department of Computer Science and Engineering
Daffodil International University, Bangladesh (January 2016 – December 2022)

Assistant Professor (Contractual), Department of Computer Science and Engineering
Daffodil International University, Bangladesh (September 2015 – December 2015)

Assistant Professor, Department of Computer Science and Engineering
Green University of Bangladesh (May 2014 – September 2015)

Assistant Professor, Department of Computer Science and Engineering
Prime University, Bangladesh (September 2013 – May 2014)

Senior Lecturer, Department of Computer Science and Engineering
Prime University, Bangladesh (January 2013 – August 2013)

Lecturer, Department of Computer Science and Engineering
Prime University, Bangladesh (October 2010 – December 2012)

Research Interests:

Artificial Intelligence (AI) and Its Applications

Computer Vision

Machine Learning (ML)

Natural Language Processing (NLP)

Internet of Things (IoT)

E-Commerce and AI-Driven Business Solutions

Top Notable Publications:

An Insightful Analysis of CNN-Based Dietary Medicine Recognition

Journal of Agriculture and Food Research, 2025-03

DOI: 10.1016/j.jafr.2024.101564

Contributors: Mohammad Didarul Alam, Tanjir Ahmed Niloy, Aurnob Sarker Aurgho, Mahady Hasan, Md. Tarek Habib

Deep Learning Modeling for Potato Breed Recognition

IEEE Transactions on AgriFood Electronics, 2024

DOI: 10.1109/TAFE.2024.3406544

Contributors: Md. Ataur Rahman, Abbas Ali Khan, Md. Mehedi Hasan, Md. Sadekur Rahman, Md. Tarek Habib

A Study on Social Media Addiction Analysis on the People of Bangladesh Using Machine Learning Algorithms

Bulletin of Electrical Engineering and Informatics, 2024-10-01

DOI: 10.11591/eei.v13i5.5680

Contributors: Minjun Nahar Mim, Mehedi Firoz, Mohammad Monirul Islam, Mahady Hasan, Md. Tarek Habib

Tomato Pest Recognition Using Convolutional Neural Network in Bangladesh

Bulletin of Electrical Engineering and Informatics, 2024-02-01

DOI: 10.11591/eei.v13i1.6073

Contributors: Johora Akter Polin, Nahid Hasan, Md. Tarek Habib, Atiqur Rahman, Zannatu Nayem Vasha, Bidyut Sharma

Publications (2020-2023)

A Machine Learning Approach for Driver Identification

Indonesian Journal of Electrical Engineering and Computer Science, 2023-04-01

DOI: 10.11591/ijeecs.v30.i1.pp276-288

Contributors: Md. Abbas Ali Khan, Mohammad Hanif Ali, Fazlul Haque, Md. Tarek Habib

Analysis of Recognition Performance of Plant Leaf Diseases Based on Machine Vision Techniques

Journal of Human, Earth, and Future, 2022-03-01

DOI: 10.28991/HEF-2022-03-01-09

Contributors: Imdadul Haque, Mohsin Alim, Mahbub Alam, Samia Nawshin, Sheak Rashed Haider Noori, Md. Tarek Habib

Machine Vision-Based Papaya Disease Recognition

Journal of King Saud University – Computer and Information Sciences, 2020-03

DOI: 10.1016/j.jksuci.2018.06.006

Contributors: Md. Tarek Habib, Anup Majumder, A.Z.M. Jakaria, Morium Akter, Mohammad Shorif Uddin, Farruk Ahmed

Conclusion:

Given his extensive publication record, research impact, and interdisciplinary contributions, Assist. Prof. Dr. Md. Tarek Habib is highly suitable for the Research for Best Researcher Award. His pioneering work in AI, ML, and IoT continues to drive innovation and technological advancements, making him a deserving recipient of this esteemed recognition.

 

 

 

Iustina Ivanova | Computer Science | Best Researcher Award

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Mrs. Iustina Ivanova | Computer Science | Best Researcher Award

Mrs. Iustina Ivanova, Fondazione Bruno Kessler, Italy

Mrs. Iustina Ivanova is a researcher at Fondazione Bruno Kessler in Italy, specializing in the application of Artificial Intelligence (AI) in real-world contexts. Her early foundation in software engineering, coupled with her fascination for computer vision, has fueled her pursuit of impactful solutions in diverse fields such as sports and smart agriculture. Notably, her distinction-earning Master’s in AI, focusing on neural networks for object detection, highlights her dedication to advancing cutting-edge technology.

Education:

Her academic journey began with a Specialist degree in Software Engineering from Bauman Moscow State Technical University, Russia (2007-2013), followed by a Master of Science in Artificial Intelligence from the University of Southampton, United Kingdom, which she completed with distinction in 2018. Although she pursued a PhD in Computer Science at the Free University of Bolzano, Italy, from 2019 to 2022, she opted to discontinue her doctoral studies to focus on professional endeavors.

Professional Profiles:

ORCID Profile

Scopus Profile

Professional Experience:

Researcher
Foundazione Bruno Kessler (Italy)
October 2023 – Present
Engaged in advancing Artificial Intelligence in smart agriculture, with a focus on step-ahead forecasting using sensor data. Conducted experiments with machine learning models to enhance prediction accuracy and decision-making in agricultural systems.

Data Science Moderator
Netology Company (Russia)
May 2019 – October 2020
Developed and delivered lectures on Statistics and Mathematics for Data Science as part of the “Data Science” course. Designed accessible educational materials hosted online for wider learning opportunities (Netology Statistics Repository).

Computer Vision Data Scientist
OCRV Company (Russia)
April 2019 – November 2019
Worked on a video-based tracking system for railway operations. Focused on detecting objects and people in video data, measuring working hours, and deploying advanced computer vision algorithms to improve workplace efficiency.

Teacher of Informatics and Mathematics
Repetitor.ru (Russia)
August 2013 – November 2017
Organized and facilitated engaging study sessions to prepare high school students for final exams in informatics and mathematics. Successfully guided approximately 30 students to pass exams and gain university admissions.

Research Interests:

Mrs. Ivanova’s research interests center on computer vision, machine learning, and the integration of AI technologies into diverse domains such as smart agriculture and sports analytics. She has made notable contributions through her research project “Sensors and Data for the Analysis of Sports Activities (SALSA).” This project, focusing on computer vision solutions and recommender systems for sport climbers, resulted in several well-received publications. Her work bridges technology and user experience, demonstrating innovation and practical value in AI-driven applications.

Publications:

Climbing Crags Repetitive Choices and Recommendations
2023-09-14 | Conference paper | DOI: 10.1145/3604915.3610652 | Contributors: Iustina Ivanova

Recommender Systems for Outdoor Adventure Tourism Sports: Hiking, Running and Climbing
2023-07-18 | Journal article | DOI: 10.1007/s44230-023-00033-3 | Contributors: Iustina Ivanova; Mike Wald

How Can We Model Climbers’ Future Visits from Their Past Records?
2023-06-16 | Conference paper | DOI: 10.1145/3563359.3597408 | Contributors: Iustina Ivanova; Mike Wald

Introducing Context in Climbing Crags Recommender System in Arco, Italy
2023-03-27 | Conference paper | DOI: 10.1145/3581754.3584120 | Contributors: Iustina Alekseevna Ivanova; Mike Wald

Map and Content-Based Climbing Recommender System
2022 | Conference paper | DOI: 10.1145/3511047.3536416 | Contributors: Ivanova, I.A.; Buriro, A.; Ricci, F.

Climber Behavior Modeling and Recommendation
2021 | Conference paper | DOI: 10.1145/3450613.3459658 | Contributors: Ivanova, I.

Climbing Route Difficulty Grade Prediction and Explanation
2021 | Conference paper | DOI: 10.1145/3486622.3493932 | Contributors: Andric, M.; Ivanova, I.; Ricci, F.

Knowledge-Based Recommendations for Climbers
2021 | Conference paper | EID: 2-s2.0-85116934926 | Contributors: Ivanova, I.; Andrić, M.; Ricci, F.

Climbing Activity Recognition and Measurement with Sensor Data Analysis
2020 | Conference paper | DOI: 10.1145/3395035.3425303 | Contributors: Ivanova, I.; Andric, M.; Janes, A.; Ricci, F.; Zini, F.

Video and Sensor-Based Rope Pulling Detection in Sport Climbing
2020 | Conference paper | DOI: 10.1145/3422844.3423058 | Contributors: Ivanova, I.; Andric, M.; Moaveninejad, S.; Janes, A.; Ricci, F.

Conclusion:

Mrs. Iustina Ivanova is a strong candidate for the Research for Best Researcher Award, given her impressive contributions to recommender systems and outdoor adventure tourism. Her work is not only academically robust but also highly relevant in practical contexts, addressing modern challenges in personalization and activity recognition.