Sajad Rezvani | Computer vision | Excellence in Research

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Mr Sajad Rezvani | Computer vision | Excellence in Research

Shahrood University of Technology , Iran

Sadjad Rezvani is a highly qualified candidate for the Research for Excellence in Research award. His impressive academic achievements, impactful research contributions, technical expertise, and leadership in mentoring make him a strong contender. His work in masked face recognition, medical image analysis, and image segmentation reflects both the depth and relevance of his research in today’s rapidly evolving tech landscape.

Publication Profile
scopus

Education :

Sadjad Rezvani holds a Master of Science in Computer Engineering with a specialization in Artificial Intelligence from Shahrood University of Technology, Iran. He completed his master’s degree between September 2020 and September 2022, graduating with a GPA of 4/4 (18.59/20). His thesis was titled “Masked Face Recognition Using Deep Learning,” under the guidance of Professor Mansoor Fateh. Prior to this, Sadjad earned his Bachelor of Science in Computer Engineering, specializing in Software Engineering, from Shahrood University of Technology, completing his degree between September 2015 and September 2019 with a GPA of 3.53/4 (16.92/20). His undergraduate thesis was titled “Profiling Web Applications to Improve Intrusion Detection,” supervised by Professor Mohsen Rezvani.

Professional Experience:

Sadjad has practical experience as a Computer Vision Software Engineer in several industries. He worked at Hookan Salt Factory in Shiraz, Iran, from November 2020 to September 2021, where he contributed to the development of a Salt Crack Sorting Machine. In this role, he employed advanced image processing techniques to detect salt impurities in real-time, utilizing tools such as OpenCV, Python, C#, and C++. Additionally, he worked at Shahaab, CO from June 2019 to December 2023 on a Plate Recognition Software project, where he contributed to a system that recognized license plates using CCTV camera data. His work involved maintaining and improving the software using C#, SQL, and other related technologies.

Research Skills:

Sadjad is highly skilled in programming languages such as Python, C++, and C#, and has a strong background in Machine Learning frameworks including PyTorch, TensorFlow, and Scikit-Learn. He is proficient in Computer Vision tools like OpenCV and has experience with databases such as Microsoft SQL Server and MySQL. His technical expertise also extends to advanced image processing, AI for medical diagnosis, and deep learning-based solutions for real-world applications.

Research Focus :

Sadjad’s research interests include Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Medical Image Analysis, Limited Data Solutions, and Domain Adaptation. He has contributed to several journal publications, such as the development of ABANet: Attention Boundary-Aware Network for Image Segmentation (2024) and a paper on Single Image Denoising via a New Lightweight Learning-Based Model (2024), among others. His academic research also includes the application of deep learning models for lung CT image segmentation and innovations in masked face recognition using deep learning.

 

Awards :

Sadjad has received recognition for his achievements, including being a member of Iran’s National Elites Foundation in 2023 and being the third-ranked student in his Master of Science program. His certifications include AI for Medical Diagnosis from DeepLearning.AI (Coursera, 2023), Python Project for Data Science from IBM (Coursera, 2022), and specialization courses in Generative Adversarial Networks (GANs) and Machine Learning from Stanford University.

Honours and Awards

  • Member of Iran’s National Elites Foundation, 2023

  • Third-ranked student in the Master of Science in Computer Science program, 2022

 

Publication : 

 

    • Rezvani, S., Fateh, M., & Khosravi, H. (2024). ABANet: Attention Boundary-Aware Network for Image Segmentation. Expert Systems, e13625. [Published May 2024]

    • Rezvani, S., Soleymani Siahkar, F., Rezvani, Y., Alavi Gharahbagh, A., & Abolghasemi, V. (2024). Single Image Denoising via a New Lightweight Learning-Based Model. IEEE Access, August 2024.

    • Rezvani, S., Fateh, M., Fateh, A., & Jalali, Y. (2024). FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation. Biomedical Signal Processing and Control, Revised Sep 2024.

conclusion:

  • Sadjad’s overall profile is well-rounded with strengths across research, academia, technical skills, and professional experience.

  • Continued focus on expanding publication reach, collaboration, and public speaking could further elevate his visibility and impact in the research community.

  • With his dedication and achievements, Sadjad is well-positioned for recognition in research excellence.

In conclusion, Sadjad is a strong candidate for the award, and with a few adjustments in outreach and collaboration, he could continue to make significant strides in the research world.

 

Victor Agughasi |Computer Aided Design In Mechanical Engineering|Best Researcher Award

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Assist. Prof. Dr.Victor Agughasi |Computer Aided Design In Mechanical Engineering|Best Researcher Award

Assistant Professor, Maharaja Institute of Technology Mysore, India

Summary:

Assistant Professor, Maharaja Institute of Technology, Mysore, India,Dr. Victor Agughasi is an Assistant Professor at the Maharaja Institute of Technology, Mysore, India. With extensive expertise in his field, he contributes to academic excellence through teaching, research, and mentoring students. His work reflects a commitment to advancing knowledge and fostering innovation in higher education.

 

Professional Profiles:

Scopus

Google Scholar

Orcid

🎓 Education :

Ph.D. in Computer Science,University of Mysore, Karnataka, India (Sept. 2018 – Dec. 2023),Thesis: Machine Learning Algorithm for the Diagnosis of Chronic Obstructive Pulmonary Diseases from Chest X-ray Images.,Postgraduate Diploma in Business Administration (PGDBA),Bangalore University, Bangalore, India (Dec. 2016 – Jan. 2018),M.Sc. in Computer Science,Bangalore University, Bangalore, India (Apr. 2014 – Mar. 2016),B.Sc. in Computer Science,Michael Okpara University, Abia State, Nigeria (Nov. 2006 – Oct. 2010),West African Senior School Certificate Examination (WASSCE),Community Secondary School, Okigwe, Imo State, Nigeria (May – June 2004)

 

🏢 Experience:

Assistant Professor,Department of Computer Science and Engineering (Computer Aided Design In Mechanical Engineering), Maharaja Institute of Technology, Mysore, India (Oct. 2023 – Present),Teaches subjects such as Machine Learning, Computer Vision, Big Data Analytics, Digital Image Processing, Database Management Systems, Python for Data Visualization, and Research Methodology.,Research Associate,Maharaja Institute of Technology, Mysore, India (June 2019 – Oct. 2023),Focused on Machine Learning, Big Data Analytics, and Mobile App Development in Java. Supervised research projects in Machine Learning.,Visiting Faculty (Voluntary),Dr. Ambedkar Institute for Management Science, Bangalore, India (Aug. 2018 – May 2019),Conducted courses in Information System & Science and Database Management Systems.,Visiting Faculty (Voluntary),St. Aloysius Degree College, Bangalore, India (Jul. 2017 – Feb. 2018),Taught sessions on Information System & Science and Database Management Systems.,Teaching Assistant (Voluntary),St. Joseph’s College, Bangalore, India (Oct. 2014 – Mar. 2016),Taught Computer Fundamentals and Web Design using PHP.,Java Instructor (Intern),APTECH Computer Education, Bangalore, India (Oct. – Dec. 2014),Provided training in Computer Fundamentals and Web Design using PHP.,Web Developer,Max-Out Resources Pvt. Ltd, Abuja, Nigeria (Jul. 2011 – Jun. 2012),High School Teacher,Community Secondary School, Okigwe, Nigeria (Feb. – Nov. 2009)

Skills:

Proficient in programming languages such as Java, JavaScript, Python, and PHP. Experienced in database systems including MySQL, PostgreSQL, and Oracle. Fluent in English with basic knowledge of Kannada.

 

Research Focus :

Specializes in Medical Imaging, Explainable AI Models, Data Science, Machine Learning, Deep Learning, and Computer Vision. Research emphasizes creating innovative machine learning algorithms for diagnosing chronic diseases from medical imaging data.

 

🔬Awards:

Received Best Paper Awards at multiple international conferences including ADCIS-2024, ERCICAM-2024, and ICCSA-2021. Recognized as the Best Outgoing Student in PG Science at St. Joseph’s College, Bangalore, and awarded gold medals in web application competitions organized by APTECH. Secured a Management Scholarship and Certificates of Merit for outstanding academic performance.

 

Conclusion:

Based on the information provided:,Suitability: Dr. Victor Agughasi appears to be a strong candidate for the award, provided his accomplishments align with the specific goals of the awarding body.,Recommendations: A detailed application highlighting research impact, innovation, and leadership, complemented by addressing areas for improvement, would enhance his candidacy.

 Publications:

  • ResNet-50 vs VGG-19 vs Training from Scratch: A Comparative Analysis of the Segmentation and Classification of Pneumonia from Chest X-Ray Images
    Authors: Agughasi Victor Ikechukwu, Murali S, Deepu R, RC Shivamurthy
    Publication: Global Transitions Proceedings
    Year: 2021
    Citations: 5

 

  • CX-Net: An Efficient Ensemble Semantic Deep Neural Network for ROI Identification from Chest X-Ray Images for COPD Diagnosis
    Authors: AV Ikechukwu, S Murali
    Publication: Machine Learning: Science and Technology
    Year: 2023
    Citations: 21

 

  • i-Net: A Deep CNN Model for White Blood Cancer Segmentation and Classification
    Authors: AV Ikechukwu, S Murali
    Publication: International Journal of Advanced Technology and Engineering Exploration
    Year: 2022
    Citations: 19

 

  • Semi-Supervised Labelling of Chest X-Ray Images Using Unsupervised Clustering for Ground-Truth Generation
    Authors: Agughasi Victor Ikechukwu, S Murali
    Publication: Applied Engineering and Technology
    Year: 2023
    Citations: 13

 

  • Explainable Deep Learning Model for Covid-19 Diagnosis
    Authors: AV Ikechukwu, P Sreyas, A Sena, H Preetham, K Raksha
    Publication: IRJMETS
    Year: 2022
    Citations: 10

 

  • Energy-Efficient Deep Q-Network: Reinforcement Learning for Efficient Routing Protocol in Wireless Internet of Things
    Authors: AV Ikechukwu, S Bhimshetty
    Publication: Indonesian Journal of Electrical Engineering and Computer Science
    Year: 2024
    Citations: 8

 

  • xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
    Authors: Agughasi Victor Ikechukwu, S Murali
    Publication: 2023 IEEE 2nd International Conference on Data, Decision, and Systems (ICDDS)
    Year: 2023
    Citations: 6

 

  • COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
    Authors: AV Ikechukwu, S Murali, B Honnaraju
    Publication: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference
    Year: 2023
    Citations: 6

 

  • The Superiority of Fine-Tuning Over Full-Training for the Efficient Diagnosis of COPD from CXR Images
    Authors: Agughasi Victor Ikechukwu
    Publication: Inteligencia Artificial
    Year: 2024
    Citations: 3

 

  • Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
    Authors: Agughasi Victor Ikechukwu
    Publication: Inteligencia Artificial
    Year: 2024
    Citations: 2

 

  • Diagnosis of Chronic Kidney Disease Using Naïve Bayes Algorithm Supported by Stage Prediction Using eGFR
    Authors: Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini K
    Publication: Not specified in detail
    Year: 2020
    Citations: 1

 

  • Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
    Authors: Agughasi Victor Ikechukwu, Sampoorna Bhimshetty, Deepu R, M.V Mala
    Publication: IEEE Xplore
    Year: 2024
    Citations: Not provided

 

  • Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts from Source Codes
    Authors: D Shruthi, HK Chethan, VI Agughasi
    Publication: ITM Web of Conferences
    Year: 2024
    Citations: Not provided

Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

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Mr. Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

 Mr. Zubair Akhtar Mohd, Technische Hochschule Ingolstadt, Germany

Mr. Zubair Akhtar Mohd is a Research Associate at Technische Hochschule Ingolstadt, Germany, specializing in automotive engineering and artificial intelligence applications in predictive modeling and manufacturing optimization. He holds a Master’s degree in Automotive Engineering from THI and a Bachelor’s in Mechanical Engineering from Aligarh Muslim University, India. His research focuses on integrating Finite Element Analysis (FEA) with AI, using advanced machine learning algorithms like CNNs and RNNs to forecast the lifespan of electronic components. Mr. Mohd is also involved in scientific projects, data generation for materials testing, and academic teaching in CAD and simulation.

 

Professional Profiles:

 

🎓 Education :

Holds a Master’s degree in Automotive Engineering from Technische Hochschule Ingolstadt, Germany, with a GPA of 1.9, focusing on production optimization and AI in automotive systems. Bachelor’s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

 

🏢 Experience:

Currently working as a Research Associate at the Institute of Innovative Mobility, Technische Hochschule Ingolstadt, focusing on method development for predicting electronics component lifespan using deep learning. Previously employed as a working student at CADS Engineering GmbH, contributing to vehicle design and occupant protection research, and as an Industrial Engineer in India, implementing safety and efficiency improvements in manufacturing processes.

🛠️Skills:

Proficient in Python, TensorFlow, PyTorch, and Linux, with additional expertise in tools such as Git, JavaScript, and MS Office applications. Experience with HTML, CSS, and Carla, and extensive knowledge in engineering software like NX CAD, Ansys, and Tableau. Fluent in English and German at B2 level, alongside native proficiency in Hindi.

 

Research Focus :

Specialized in the integration of Finite Element Analysis (FEA) simulation data with deep learning for predictive modeling. Research includes advanced deep learning models, such as CNNs and RNNs, and generative forecasting with VQ-VAE. Emphasis on machine learning algorithms for materials inspection and automated data collection.

 

🔬Awards:

Awarded various certifications, including specialization in self-driving car technologies from the University of Toronto and advanced machine learning courses from DeepLearning.AI. Actively involved in technical leadership roles, such as Technical Coordinator for AMU’s national college fest and team leader for the American Society of Mechanical Engineers (ASME). Published work in Springer Publications on ergonomics for productivity improvement.

Conclusion:

Mr. Zubair Akhtar Mohd’s interdisciplinary skills, innovative research focus, and dedication to academia make him a deserving candidate for the Best Researcher Award. With potential to expand his publication record and increase his collaborative efforts, Mr. Mohd’s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

 Publications:

MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

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Mr.MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr , MD. HUMAUN KABIR, Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University,Bangladesh.

Mr. MD. Humaun Kabir is a distinguished faculty member in the Department of Computer Science and Engineering at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Bangladesh. He is dedicated to advancing computer science education and research, with a focus on cutting-edge technologies and innovations that drive the field forward. Through his commitment to academic excellence, Mr. Kabir continues to inspire and mentor the next generation of engineers and computer scientists.

Summary:

  • Achieved a high CGPA in both M.Sc. (3.88) and B.Sc. (3.82) in Engineering, indicating strong academic performance.
  • Consistently strong performance throughout academic life, with excellent results in HSC and SSC.

Professional Profiles:

Google Scholar

Education :

Md. Humaun Kabir completed his M.Sc. in Engineering with a specialization in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, earning an impressive CGPA of 3.88 on a 4.00 scale. He also holds a B.Sc. in Engineering from the same department, achieved in 2014, with a CGPA of 3.82 on a 4.00 scale. Prior to his university education, he excelled in his secondary and higher secondary studies, achieving a GPA of 5.00 in HSC from Police Line’s School & College, Kushtia (Jashore Board) in 2010, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga (Jashore Board) in 2008. Notably, on December 24, 2018, the Department of Applied Physics and Electronic Engineering was renamed to the Department of Electrical and Electronic Engineering.

Work Experience:

With a professional career spanning around seven years, Md. Humaun Kabir has served in multiple academic roles. He began as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science & Technology, Bogura, where he worked from May 23, 2017, to February 9, 2019. He then continued as a Lecturer at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University (BSFMSTU), Jamalpur, from February 10, 2019, to February 19, 2022. He was promoted to Assistant Professor at the same institution on February 20, 2022, and later took on the additional role of Chairman of the Department of Computer Science and Engineering on April 9, 2022. Additionally, he holds the position of Additional Director (In-charge) of the ICT Cell at BSFMSTU, where he has been serving since April 12, 2022.

Research Focus :

Md. Humaun Kabir’s research interests encompass a broad spectrum of topics, including Signal/Image Processing, Computer Vision, Brain-Computer Interfaces (BCI), Human-Computer Interaction (HCI), and Biomedical Engineering. He is also passionate about Wireless Communication & Networks, and his work extends into the realms of Machine Learning & Deep Learning. His research endeavors have led to several significant contributions to the field, with a focus on enhancing performance in BCI systems and improving wireless communication systems.

Skills:

Throughout his career, Md. Humaun Kabir has developed a robust technical skillset. He is proficient in programming languages such as MATLAB, Python, C, and C++, and has expertise in using LaTeX and Overleaf for academic writing. His technical repertoire is further enriched by his experience with the Internet of Things (IoT) and embedded systems, as well as networking knowledge gained through Cisco Certified Network Associate (CCNA) training.

 Awards:

Md. Humaun Kabir has been recognized for his outstanding academic and professional achievements. He received the prestigious Dean’s Award during both his B.Sc. and M.Sc. Engineering programs from the Faculty of Engineering at the University of Rajshahi. Additionally, he was awarded a Merit Scholarship from the University of Rajshahi for his academic excellence. His research excellence has been further acknowledged through his involvement in various government and university-funded research projects, including a current project on EEG-based motor imagery tasks classification for BCI systems.

Conclusion:

Md. Humaun Kabir demonstrates strong potential as a researcher, with a solid academic foundation, relevant research interests, and considerable teaching and administrative experience. However, to strengthen his candidacy for the Best Researcher Award, it would be beneficial to have a more robust record of research publications, greater international collaboration, and evidence of securing research funding. Addressing these areas could make him a more competitive candidate for the award.

Publications :

  • Title: Strain-driven optical, electronic, and mechanical properties of inorganic halide perovskite CsGeBr3
    Authors: MR Islam, MRH Mojumder, R Moshwan, ASMJ Islam, MA Islam
    Source: ECS Journal of Solid State Science and Technology, 11(3), 033001
    Year: 2022
    Citations: 42

 

  • Title: Investigating feature selection techniques to enhance the performance of EEG-based motor imagery tasks classification
    Authors: MH Kabir, S Mahmood, A Al Shiam, AS Musa Miah, J Shin, MKI Molla
    Source: Mathematics, 11(8), 1921
    Year: 2023
    Citations: 21

 

  • Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
    Authors: MI Hossain, MT Ahmed, MH Kabir
    Source: International Journal of Engineering and Manufacturing, 12(4), 46-52
    Year: 2022
    Citations: 10

 

  • Title: Smart attendance and leave management system using fingerprint recognition for students and employees in academic institute
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: International Journal of Scientific & Technology Research, 10(6), 268-276
    Year: 2021
    Citations: 10

 

  • Title: IoT based solar powered smart waste management system with real-time monitoring – An advancement for smart city planning
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: Global Journal of Computer Science and Technology, 20(5), 11-20
    Year: 2020
    Citations: 9

 

  • Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
    Authors: MH Kabir, F Ahmad, MAM Hasan, J Shin
    Source: Applied Sciences, 13(1), 522
    Year: 2022
    Citations: 7

 

  • Title: Secured voice frequency signal transmission in 5G compatible multiuser downlink MIMO NOMA wireless communication system
    Authors: MH Kabir, J Rahman, SE Ullah
    Source: International Journal of Networks and Communications, 8(4), 97-105
    Year: 2018
    Citations: 6

 

  • Title: A neural attention-based encoder-decoder approach for English to Bangla translation
    Authors: AA Shiam, SM Redwan, MH Kabir, J Shin
    Source: Computer Science Journal of Moldova, 91(1), 70-85
    Year: 2023
    Citations: 5

 

  • Title: Web-based student registration and exam form fill-up management system for educational institutes
    Authors: MT Ahmed, MH Kabir, S Roy
    Source: International Journal of Information Engineering and Electronic Business
    Year: 2022
    Citations: 5

 

  • Title: Design and implementation of web-based smart class routine management system for educational institutes
    Authors: S Roy, MH Kabir, MT Ahmed
    Source: International Journal of Educational Management Engineering, 12(2), 38-48
    Year: 2022
    Citations: 4

 

  • Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
    Authors: J Shin, ASM Miah, MH Kabir, MA Rahim, AA Shiam
    Source: arXiv preprint arXiv:2408.05436
    Year: 2024
    Citations: 1

 

  • Title: Design of a High-Gain 2× 1 Array Antenna for S-Band Applications
    Authors: MI Hossain, MA Islam, MT Ahmed, MH Kabir
    Source: World Journal of Engineering and Technology, 11(2), 293-302
    Year: 2023
    Citations: 1