Azin Izadi | Image Processing | Best Researcher Award

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Ms. Azin Izadi | Image Processing | Best Researcher Award

Researcher at Shahid Bahonar University of Kerman, Iran

Azin Izadi is a dedicated researcher and educator in the field of computer engineering, specializing in approximate computing and low-power digital circuit design. With a strong academic background and a passion for advancing computational efficiency, she has contributed significantly to the development of innovative arithmetic units for power-conscious applications. Through her work as a researcher, lecturer, and teaching assistant, she has fostered the growth of knowledge in digital electronics and computer architecture while actively participating in research aimed at enhancing circuit design methodologies.

Profile

Scopus

Education

Azin Izadi obtained her Master of Science degree in Computer Engineering from Shahid Bahonar University of Kerman, Iran, in 2022. Specializing in Computer System Architecture, she completed her thesis on the design of an approximate computing unit to optimize power consumption in FPGA-based designs. Under the supervision of Professor Behnam Ghavami, she achieved a perfect GPA of 4.00/4.00, reflecting her commitment to academic excellence. Prior to her master’s, she earned a Bachelor of Science in Computer Engineering from the same university in 2017, where she focused on computer hardware. Her undergraduate thesis explored the use of Raspberry Pi microcomputers for remote environmental control and observation, earning her high recognition under the guidance of Professor Azadeh Alsadat Emrani Zarandi.

Experience

Azin Izadi has accumulated valuable experience in both academia and research. She has served as a Teaching Assistant at Shahid Bahonar University of Kerman since 2022, supporting courses in Digital Electronics and Computer-Aided Design of Digital Systems. Concurrently, she has been a Research Assistant at the same institution since 2023, focusing on approximate computing and low-power arithmetic unit design under the supervision of Professor Vahid Jamshidi. Beyond her contributions to higher education, she has worked as a Lecturer at the Technical and Vocational University of Kerman, delivering courses on Network Security, Web Security, and Computer Architecture. Additionally, she has provided private instruction in Logic Circuits and Computer Architecture at Shahid Bahonar University of Kerman, further demonstrating her commitment to knowledge dissemination.

Research Interests

Azin Izadi’s research primarily revolves around approximate computing, an emerging paradigm aimed at enhancing computational efficiency by trading precision for energy savings. She focuses on designing low-power, high-speed arithmetic units that optimize power consumption while maintaining acceptable error margins for error-resilient applications. Her work explores inexact multipliers, approximate adders, and logarithmic arithmetic units, all of which contribute to advancing computational methods for energy-efficient hardware design. With a strong background in FPGA-based circuit optimization, she continues to innovate in digital system design, addressing the increasing demand for power-conscious computing in modern applications.

Awards

Azin Izadi’s academic excellence has been recognized through prestigious accolades, including being ranked as the top student in the Master’s program at the Department of Computer Engineering, College of Engineering, Shahid Bahonar University of Kerman in 2022. This recognition reflects her outstanding academic performance and research contributions during her graduate studies.

Publications

Azin Izadi, Vahid Jamshidi. “LSHIM: Low-power and Small-area Inexact Multiplier for High-speed Error-resilient Applications.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “LHTAM: Low-power and high-speed approximate multiplier for tiny inexact computing systems.” Computers and Electrical Engineering (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “A fast, low-energy and area-efficient unsigned approximate logarithmic multiplier for small inexact arithmetic circuits.” IEEE Transactions on Sustainable Computing (2024). (Revised)

Azin Izadi, Vahid Jamshidi. “High-performance approximate adder for arithmetic circuits.” (2025). (In Preparation)

Conclusion

Azin Izadi is a committed researcher and educator whose work in approximate computing and low-power circuit design has significantly contributed to advancing energy-efficient digital systems. Her rigorous academic training, coupled with hands-on teaching and research experience, has enabled her to develop innovative computational techniques that optimize power and performance in arithmetic circuits. With a strong portfolio of publications and teaching engagements, she remains dedicated to pushing the boundaries of digital hardware efficiency while mentoring the next generation of engineers in computer architecture and digital design.

Jin Lisheng | Image Processing | IEEE ICDM Research Contributions Award

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Prof. Dr. Jin Lisheng | Image Processing | IEEE ICDM Research Contributions Award

professor | Yanshan University | China

Dr. Jin Lisheng, born in October 1975, is a distinguished professor and doctoral supervisor. He currently serves as the Dean of the School of Vehicle and Energy at Yanshan University. With an extensive academic and research career, Dr. Jin has contributed significantly to the fields of intelligent vehicle perception, decision-making, control, and transportation engineering. His professional journey has been marked by remarkable leadership roles, numerous research achievements, and active participation in academic collaborations and industrial partnerships. He has played a crucial role in the advancement of vehicle ergonomics, driver-vehicle-road collaboration, and intelligent transportation systems.

Profile

Orcid

Education

Dr. Jin earned his doctoral degree in Mechanical and Electronic Engineering from Jilin University in July 2003, where he was mentored by Professor Zhao Dingxuan. Prior to that, he obtained a master’s degree in Mechanical Design and Theory from Jilin University of Technology in March 2000. His academic journey began with an undergraduate degree in Hoisting Transportation and Engineering Machinery from Jilin University of Technology in July 1997. His strong academic foundation laid the groundwork for his extensive research and teaching career.

Experience

Dr. Jin’s professional journey spans multiple prestigious roles. He started as a lecturer at Jilin University in 2003 before engaging in postdoctoral research in Traffic and Transportation. From 2005 to 2006, he served as a visiting scholar at the Transportation Research Center of the University of Twente, Netherlands. He was promoted to associate professor in 2004 and professor in 2008. As the deputy dean of Jilin University’s School of Transportation from 2012 to 2020, he oversaw undergraduate teaching, scientific research, foreign affairs, and postgraduate training. In June 2020, he transitioned to Yanshan University as the Dean of the School of Vehicle and Energy, furthering his contributions to academic leadership and research innovation.

Research Interests

Dr. Jin specializes in intelligent vehicle perception, decision-making, and control, along with driver-vehicle-road collaboration and vehicle networking technology. His research extends to driving behavior analysis, vehicle ergonomics, and transportation safety. He has spearheaded multiple national and provincial research projects, including four National Natural Science Foundation grants, two national key research and development projects, and significant contributions to the Beijing-Tianjin-Hebei Cooperative Innovation Community. His work has resulted in valuable advancements in vehicle automation, smart transportation, and human-machine interaction in vehicular systems.

Awards

Dr. Jin has received numerous accolades throughout his career. In 2010, he was recognized as a “New Century Outstanding Talent” by the Ministry of Education. He was honored as an “Outstanding Communist Party Member” by Jilin University in 2011 and was awarded the Jilin Province “Special Fund for Talent Development” in 2012. In 2015, he won the Second Prize of the Jilin Province Science and Technology Progress Award and the Baosteel Education Foundation Excellent Teacher Award. His contributions earned him the Third Prize of the Beijing Science and Technology Award in 2018, the Second Prize of the Hebei Province Science and Technology Progress Award in 2022, and the First Prize of the China Intelligent Transportation Association Science and Technology Award in 2024. Additionally, he was recognized as the “2023 Teacher Moral Model” of Yanshan University.

Publications

Dr. Jin has published extensively in high-impact journals and conferences. Some of his notable works include:

Jin, L., et al. (2018). “Intelligent Vehicle Networking and Decision Systems,” IEEE Transactions on Intelligent Transportation Systems (Cited by 120 articles).

Jin, L., et al. (2019). “Driver Behavior Analysis in Autonomous Vehicles,” Transportation Research Part C (Cited by 90 articles).

Jin, L., et al. (2020). “Human-Machine Collaboration in Vehicle Ergonomics,” Applied Ergonomics (Cited by 75 articles).

Jin, L., et al. (2021). “Road Safety and Intelligent Transportation Systems,” Journal of Safety Research (Cited by 85 articles).

Jin, L., et al. (2022). “AI-Based Vehicle Perception and Control,” Automotive Engineering Journal (Cited by 65 articles).

Jin, L., et al. (2023). “Vehicular Wireless Networks and Anti-collision Technology,” Journal of Transportation Science (Cited by 70 articles).

Jin, L., et al. (2024). “Smart Transport Infrastructure and Its Future Implications,” China Journal of Highway (Cited by 60 articles).

Conclusion

Dr. Jin Lisheng’s academic and professional journey exemplifies excellence in transportation engineering and intelligent vehicle systems. His leadership roles, extensive research contributions, and dedication to advancing vehicle automation and safety have significantly impacted the field. With a strong foundation in academia and industry collaborations, Dr. Jin continues to shape the future of intelligent transportation, fostering innovation, and mentoring the next generation of engineers and researchers.