Alireza Akoushideh | Computer Science | Best Researcher Award

Assist. Prof. Dr. Alireza Akoushideh | Computer Science | Best Researcher Award

Electrical and Computer Department from Iran’s National University of Skill, Iran

Dr. Alireza Akoushideh is an Assistant Professor in Electronics Engineering with a specialization in image processing, parallel processing, and microcontroller-based systems. With over two decades of experience in academia and research, he has made significant contributions to digital electronics, focusing on industrial applications. His expertise extends to supervising research projects, authoring academic books, and securing multiple patents. Dr. Akoushideh has been an active participant in national and international collaborations, including a visiting research position at the University of Twente in the Netherlands and participation in the Erasmus+ program in Romania. In addition to his academic contributions, he has played a vital role in fostering technological innovations as the former manager of the Growth Centre at Guilan Science and Technology Park. His work emphasizes bridging the gap between academia and industry, particularly in the development of applied research projects and commercialization of new technologies. Recognized for his research excellence, he has received multiple awards, including the Best Researcher title at Guilan Technical and Vocational University. With a strong background in electronics and computer engineering, Dr. Akoushideh continues to contribute to advancements in artificial intelligence, IoT, and digital systems, making him a distinguished researcher in his field.

Professional Profile

Education

Dr. Akoushideh has a strong academic foundation in electrical and electronics engineering. He earned his Ph.D. in Electrical Engineering with a specialization in Electronics from Shahid Beheshti University, where his research focused on developing noise-resistant feature extraction operators for texture classification. His doctoral work contributed significantly to the fields of image processing and pattern recognition. Prior to that, he completed his Master’s degree at Amirkabir University of Technology (Tehran Polytechnic), specializing in electronics. His master’s thesis revolved around designing a pacemaker system based on the detection of cardiac arrests, demonstrating his early interest in biomedical applications of electronics. Dr. Akoushideh obtained his Bachelor’s degree from the University of Guilan, where he specialized in electronics engineering. His undergraduate research involved the development of a computer-based microcontroller trainer, highlighting his inclination towards microcontroller-based system design. Throughout his academic journey, he has consistently focused on applying electronics engineering principles to real-world challenges, which is evident in his later research projects and technological innovations. His education, spanning three prestigious Iranian institutions, has provided him with the necessary expertise to excel in both theoretical and applied aspects of electronics, further enriching his contributions to academia, research, and industry.

Professional Experience

Dr. Akoushideh has had an extensive career in academia, research, and industry. He is currently an Assistant Professor at the Technical and Vocational University in Iran, where he teaches courses in image processing, computer architecture, microcontrollers, and digital systems. His role extends beyond teaching, as he actively supervises undergraduate and graduate research projects, guiding students in developing innovative solutions for industrial and technological challenges. He has also served as a visiting researcher at the University of Twente in the Netherlands, where he collaborated on biometrics and pattern recognition research. Additionally, he participated in the Erasmus+ program at Pitesti University in Romania, contributing to international discussions on vocational education and training. Dr. Akoushideh has held managerial roles, including serving as the Growth Centre Manager at Guilan Science and Technology Park, where he played a key role in supporting technology startups and commercializing academic research. His industry experience includes co-founding Rayaneh Gostar Moein Co., where he worked on network design, industrial automation, and electronic content production. His diverse professional background reflects his ability to integrate academic research with industrial applications, making significant contributions to both education and technology-driven initiatives.

Research Interests

Dr. Akoushideh’s research interests lie in the intersection of digital electronics, image processing, artificial intelligence, and microcontroller-based systems. His work primarily focuses on developing advanced image processing techniques for applications such as biometrics, video surveillance, and medical diagnostics. He has also contributed to research in pattern recognition, deep learning, and IoT-based automation systems. His interest in parallel processing has led him to explore hardware acceleration techniques for computationally intensive tasks, improving the efficiency of embedded systems. In addition to theoretical advancements, Dr. Akoushideh is deeply involved in applied research, particularly in developing smart electronic devices and automation systems for industrial and consumer applications. His projects include intelligent power management systems, real-time video analytics, and embedded system design for IoT applications. He is also keen on integrating artificial intelligence into embedded systems, exploring new methods for enhancing efficiency and performance in real-time processing environments. With a strong background in both academic and practical research, his work contributes to the advancement of smart technologies, automation, and digital signal processing, positioning him as a leading researcher in electronics and computer engineering.

Research Skills

Dr. Akoushideh possesses a diverse range of research skills spanning hardware and software domains. He has expertise in digital image processing, machine learning, and deep learning techniques, applying them to areas such as biometrics, video analysis, and industrial automation. His programming proficiency includes MATLAB, Python, C++, and hardware description languages like VHDL, allowing him to develop and implement complex algorithms for embedded systems. His hands-on experience with microcontrollers such as AVR, ARM, and PIC enables him to design and prototype advanced electronic devices. Additionally, he is skilled in PCB design using Altium Designer and FPGA-based system development using Xilinx ISE and Synopsys tools. His research capabilities extend to IoT and smart systems, where he has worked on projects involving sensor networks, remote monitoring, and intelligent control systems. Dr. Akoushideh is also experienced in conducting experimental research, statistical data analysis, and scientific writing, which are essential for publishing in high-impact journals. His interdisciplinary approach, combining hardware and software expertise, makes him highly proficient in designing, developing, and optimizing electronic and computational systems for various applications.

Awards and Honors

Dr. Akoushideh has been recognized multiple times for his contributions to research and technology. He was awarded the Best Researcher title at Guilan Technical and Vocational University in 2022 and previously in 2018 and 2019. In 2021, he received the first award at the Technical and Vocational University of Iran, a national-level recognition of his excellence in research and academia. He was also acknowledged by the Guilan Science and Technology Park for his contributions as an innovator and technologist, winning awards such as “Encouraging Thinkers, Technologists, and Innovators” in 2019. Additionally, he won a provincial award in the Young Idea Supporters category the same year. His entrepreneurial spirit was recognized in 2007 when he was named the Best Entrepreneur in Information Technology by the Ministry of Labor and Social Affairs. His academic achievements include ranking second in his graduating class in electronic engineering at Guilan University in 1997. These awards highlight his dedication to advancing research, education, and innovation, further solidifying his reputation as a leading researcher in his field.

Conclusion

Dr. Alireza Akoushideh is a distinguished researcher with extensive expertise in electronics engineering, particularly in image processing, embedded systems, and IoT applications. His academic journey, spanning Iran’s top universities, has provided him with a strong foundation in both theoretical and applied research. His professional experience as a university professor, visiting researcher, and technology leader has allowed him to make significant contributions to academia and industry. With numerous research projects, patents, and international collaborations, he has established himself as a key figure in his field. His research interests in artificial intelligence, parallel processing, and industrial automation align with current technological advancements, making his work highly relevant. His technical skills in programming, hardware design, and system optimization further enhance his ability to develop innovative solutions. Recognized with multiple awards for research excellence, teaching, and entrepreneurship, he has consistently demonstrated his commitment to knowledge creation and dissemination. Dr. Akoushideh’s career reflects a balance between academic research and practical applications, positioning him as a thought leader in digital electronics and embedded systems. His contributions continue to drive technological innovation, benefiting both academia and industry.

Publications Top Notes

  • Title: Motion-based vehicle speed measurement for intelligent transportation systems
    Authors: A. Tourani, A. Shahbahrami, A. Akoushideh, S. Khazaee, C.Y. Suen
    Year: 2019
    Citations: 33

  • Title: A robust vehicle detection approach based on faster R-CNN algorithm
    Authors: A. Tourani, S. Soroori, A. Shahbahrami, S. Khazaee, A. Akoushideh
    Year: 2019
    Citations: 25

  • Title: Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction
    Authors: M. Sharifnejad, A. Shahbahrami, A. Akoushideh, R.Z. Hassanpour
    Year: 2020
    Citations: 19

  • Title: Iranis: A large-scale dataset of Iranian vehicles license plate characters
    Authors: A. Tourani, S. Soroori, A. Shahbahrami, A. Akoushideh
    Year: 2021
    Citations: 16

  • Title: Iranian license plate recognition using deep learning
    Authors: A.R. Rashtehroudi, A. Shahbahrami, A. Akoushideh
    Year: 2020
    Citations: 15

  • Title: High performance implementation of texture features extraction algorithms using FPGA architecture
    Authors: A.R. Akoushideh, A. Shahbahrami, B.M.N. Maybodi
    Year: 2014
    Citations: 13

  • Title: Copy-move forgery detection using convolutional neural network and K-mean clustering
    Authors: A. Pourkashani, A. Shahbahrami, A. Akoushideh
    Year: 2021
    Citations: 12

  • Title: Accelerating texture features extraction algorithms using FPGA architecture
    Authors: A.R. Akoushideh, A. Shahbahrami
    Year: 2010
    Citations: 12

  • Title: Parallel Implementation of a Video-based Vehicle Speed Measurement System for Municipal Roadways
    Authors: A.J. Afshany, A. Tourani, A. Shahbahrami, S. Khazaee, A. Akoushideh
    Year: 2019
    Citations: 10

  • Title: Challenges of Video-Based Vehicle Detection and Tracking in Intelligent Transportation Systems
    Authors: A. Tourani, A. Shahbahrami, A. Akoushideh
    Year: 2017
    Citations: 9

 

Mijanur Rahaman | Machin Learning | Excellence in Research

Mr. Mijanur Rahaman | Machin Learning | Excellence in Research

Assistant Professor at Bangladesh University of Business and Technology (BUBT), Bangladesh.

Mr. Mijanur Rahaman is an accomplished professional with a rich background in academia, research, and teaching. With extensive experience in computer science and engineering, he has excelled in various roles, including Assistant Professor and Lecturer at Bangladesh University of Business & Technology (BUBT). His research interests span diverse areas such as peer-to-peer payment systems, job skill requirements during the COVID-19 pandemic, and web programming curriculum reform. Mr. Rahaman’s contributions to scholarly literature include several published articles in prestigious journals and conferences. Beyond academia, he has actively engaged in software development, database administration, and website design, demonstrating his versatility and technical prowess. His commitment to education, coupled with strong research and technical skills, positions him as a valuable asset in the field of computer science.

Professional Profiles:

Education

Mr. Mijanur Rahaman holds a Bachelor of Science in Engineering (B.Sc. Engg.) in Computer Science & Engineering (CSE) from Bangladesh University of Business & Technology (BUBT). He completed his higher secondary education (Higher Secondary School Certificate – HSC) in Science from Lakshmipur Govt. College and his secondary education (Secondary School Certificate – SSC) in Science from Rakhalia High School, both in Bangladesh. Additionally, he is currently pursuing a Master of Science (MSc) in Computer Science (MScCS) from the American International University-Bangladesh (AIUB).

Professional Experience

Mr. Mijanur Rahaman has extensive professional experience in the field of education and technology. He has served as an Assistant Professor of Computer Science and Engineering (CSE) at Bangladesh University of Business & Technology (BUBT) since February 2016. Prior to this, he worked as a Lecturer in CSE at BUBT from October 2011 to January 2015, and as a Teaching Assistant (TA) in CSE from March 2011 to September 2011. Additionally, he worked as a Part-time Lecturer at Dhaka Edinburgh International College from August 2010 to October 2010. In these roles, he has been actively involved in teaching, curriculum development, and student mentorship, demonstrating his commitment to academic excellence and professional development.

Research Interest

Mr. Mijanur Rahaman’s research interests primarily revolve around areas such as applied research methodology, digitalization, software development, job skill analysis, quantum computing, cloud computing, and web programming. He has contributed to various publications covering topics such as near field peer-to-peer payment systems, IT-software job skill requirements during the COVID-19 pandemic, optimal job allocation algorithms, state-of-the-art reformation of web programming course curriculums, and quantum computing as a service (Qcaas). His diverse research interests reflect his dedication to exploring cutting-edge technologies and their applications in solving real-world problems.

Teaching Experience

Mr. Mijanur Rahaman has extensive teaching experience spanning over a decade. His teaching journey started as a Teaching Assistant (TA) in the Department of Computer Science and Engineering (CSE) at Bangladesh University of Business & Technology (BUBT) in March 2011. From there, he progressed to the role of Lecturer in CSE, where he continued to impart knowledge and motivate students until January 2015. Subsequently, he transitioned to the position of Assistant Professor of CSE at BUBT, where he has been serving since February 2016. Throughout his tenure, Mr. Rahaman has demonstrated a commitment to challenging and inspiring students through in-depth lectures, discussions, and hands-on learning experiences. Additionally, he has actively contributed to curriculum development and research activities, enriching the academic environment of his institution.

Award and Honors

Mr. Mijanur Rahaman has received numerous awards and honors throughout his career, recognizing his significant contributions to academia and programming contests. Notably, he excelled as a contestant in prestigious competitions like the ACM-ICPC Asia Regional Dhaka Site in 2010, where his team achieved the 13th place, and the 2008 Asia Dhaka Contest. His achievements also include receiving an Honorable Mention at the AB Bank-IUT 2nd National ICT Fest 2009. Beyond his individual accomplishments, Mr. Rahaman has demonstrated leadership as a coach for programming contest teams and as Chief Judge at the BUBT Intra-university Programming Contest 2015. Moreover, he has been invited to high-profile events such as the ICPC World Final 2021 and the ACM-ICPC Asia Dhaka Regional Contest, where he served in key roles. His active involvement in academic and extracurricular activities further underscores his commitment to fostering learning and innovation within the community.

Research Skills

Mr. Mijanur Rahaman possesses advanced research skills honed through years of academic and professional experience. His expertise encompasses various methodologies, including quantitative and qualitative research methods, literature reviews, experimental design, and data analysis techniques. He is proficient in utilizing statistical software such as SPSS, R, and Minitab for data analysis and interpretation. Moreover, Mr. Rahaman demonstrates strong critical thinking abilities, enabling him to formulate research questions, develop hypotheses, and design rigorous research studies. His keen attention to detail ensures the accuracy and reliability of research findings, while his effective communication skills enable him to disseminate research results through scholarly publications and presentations. Additionally, he stays abreast of emerging trends and best practices in his field, continually refining his research skills to contribute meaningfully to the advancement of knowledge in computer science and related disciplines.

Publications

  1. Utilizing EfficientNet for sheep breed identification in low-resolution images
    • Authors: Himel, G.M.S.; Islam, M.M.; Rahaman, M.
    • Year: 2024
    • Citations: 0
    • Type: Article
  2. Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds
    • Authors: Himel, G.M.S.; Islam, M.M.; Rahaman, M.
    • Year: 2024
    • Citations: 1
    • Type: Article
  3. An Empirical Analysis of IT-Software Job Skill Requirements During COVID-19 Pandemic Period in Bangladesh
    • Authors: Rahaman, M.; Islam, M.M.; Rahman, M.S.
    • Year: 2023
    • Citations: 0
    • Type: Conference Paper
  4. Knowledge, attitude, and practice of a local community towards the prevention and control of rabies in Gaibandha, Bangladesh
    • Authors: Rahaman, M.M.; Siddiqi, U.R.; Sabuj, A.A.M.; Ghosh, S.; Uddin, N.
    • Year: 2020
    • Citations: 7
    • Type: Article
  5. State-of-the-art reformation of web programming course curriculum in digital Bangladesh
    • Authors: Kar, S.; Islam, M.M.; Rahaman, M.
    • Year: 2020
    • Citations: 3
    • Type: Article