Hamidreza Rashidian | Electrical and Electronics Engineering | Best Researcher Award

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Mr. Hamidreza Rashidian | Electrical and Electronics Engineering | Best Researcher Award

Research fellow at Islamic Azad University in Iran.

Hamidreza Rashidian is a dedicated researcher and designer specializing in Integrated Circuits (ICs) within the domain of Electrical and Electronics Engineering. Since 2015, he has actively contributed to academic and applied research on data converters, voltage-level shifters, bandgap voltage references, and signal processing circuits. Based in Tehran, he has collaborated with academic institutions as a research and teaching assistant while also pursuing independent innovation. His work is published in high-impact journals including IEEE Transactions on Circuits and Systems II and multiple Elsevier journals. He is also a certified reviewer for top-tier journals, including Analog Integrated Circuits and Signal Processing and Scientific Reports. Known for his productivity and perseverance, Rashidian’s contributions are shaping next-generation analog and mixed-mode circuits. With a strong foundation in software tools like HSPICE and Cadence, he bridges the gap between theory and real-world circuit implementation.

Professional Profiles

   ORCID | Scopus

Strengths for the Award

1. Deep Specialization in Integrated Circuit Design:
Mr. Rashidian demonstrates a strong and focused research trajectory in the domain of electronics engineering, particularly in the design and development of Integrated Circuits (ICs). His expertise encompasses subfields such as data converters, mixed-mode ICs, RF circuits, and bandgap voltage references. His consistent engagement in IC research since 2015 reflects a matured specialization, making him a valuable contributor to this niche field.

2. Notable Publication Record in Prestigious Journals:
He has published multiple peer-reviewed papers in high-impact platforms including the IEEE Transactions on Circuits and Systems II and Elsevier journals such as Integration, the VLSI Journal, and the International Journal of Electronics and Communications. These publications highlight his ability to address complex design challenges like low-power operation, high-precision voltage references, and analog-to-digital converter (ADC) innovation.

3. Active Research Pipeline and Reviewer Contributions:
Beyond completed work, he is engaged in ongoing research, such as ADC design with time-domain latch interpolation. His role as a certified reviewer for reputable journals like Analog Integrated Circuits and Signal Processing and Scientific Reports further underlines his scholarly competence and recognition in the academic community.

4. Integration of Academia and Independent Innovation:
He maintains roles both as a university-affiliated research assistant and as a self-employed circuit designer and lecturer. This dual involvement ensures that his work is not only academically rigorous but also technically applied and entrepreneurial in nature.

Education 

Hamidreza Rashidian holds three progressive degrees in Electrical and Electronics Engineering. He earned his Master’s degree from Islamic Azad University in Tehran in 2015, where he focused on the design and simulation of a low-power FinFET-based operational amplifier. Prior to that, he completed his Bachelor’s in Electronic Technology Engineering at Ghiaseddin Jamshid Kashani University in 2013, where he developed a scientific calculator using AVR microcontroller technology. His academic journey began with an Associate degree in Electricity-Electronics at the same institution, giving him a strong practical and theoretical base early in his career. His academic projects demonstrate a consistent focus on circuit-level innovation and microcontroller applications. These academic milestones have provided a robust foundation for his research in analog IC design and mixed-mode systems.

Research Focus 

Rashidian’s research primarily centers on the design of low-power, high-precision analog and mixed-signal integrated circuits. His technical interests include bandgap voltage references, voltage-level shifters, analog-to-digital converters, and signal-processing circuits. He investigates techniques to minimize power consumption and temperature drift in IC components, which is crucial for modern-day sensor systems and portable electronics. One of his significant contributions is the development of curvature-compensated bandgap reference circuits, which enhance accuracy across temperature ranges. His ongoing work on flash ADCs with time-domain latch interpolation exemplifies his commitment to advancing speed and efficiency in data conversion. He also explores RF ICs and VLSI design methodologies, making use of tools like HSPICE, Cadence, and MATLAB. Rashidian’s research contributes directly to the development of next-generation semiconductor devices used in IoT, medical instrumentation, and wireless systems.

Publication Top Notes

1. A 38.5-fJ 14.4-ns Robust and Efficient Subthreshold-to-Suprathreshold Voltage-Level Shifter Comprising Logic Mismatch-Activated Current Control Circuit
Published in: IEEE Transactions on Circuits and Systems II, 2023
Summary:
This paper presents a highly energy-efficient voltage-level shifter that operates reliably under subthreshold supply conditions. The design utilizes a logic mismatch-activated current control circuit to achieve robust transition characteristics, boasting energy consumption as low as 38.5 femtojoules and a delay of just 14.4 nanoseconds. It is ideal for ultra-low-power applications and supports wide voltage domain integration.

2. A Sub-1 ppm/°C Dual-Reference Small-Area Bandgap Reference Comprising an Enhanceable Piecewise Curvature Compensation Circuit
Published in: Elsevier International Journal of Electronics and Communications, 2024
Summary:
This study introduces a dual-reference bandgap voltage reference (BGR) that achieves exceptional temperature stability (less than 1 ppm/°C) using a novel curvature compensation scheme. The circuit architecture enables compact layout and enhances reliability, making it suitable for precision analog sensors and battery-powered devices.

3. A 75.12-nW 0.5-V MOS-Based BGR Comprising a Curvature Compensation Circuit for Analog-to-Digital Converter Applications
Published in: Elsevier International Journal of Electronics and Communications, 2025
Summary:
Targeting ultra-low-power applications, this work designs a MOS-based bandgap reference consuming only 75.12 nW at 0.5 V. Enhanced curvature compensation maintains accuracy, providing a reference for power-constrained ADC circuits in biomedical and IoT devices.

4. A 2.69-ppm/°C Curvature-Compensated BJT-Based Bandgap Voltage Reference
Published in: Elsevier Integration, the VLSI Journal, 2025
Summary:
This paper advances BJT-based voltage reference designs by achieving 2.69 ppm/°C thermal stability. The approach integrates curvature compensation and circuit-level innovations to ensure performance under wide temperature variations, addressing key challenges in precision analog design.

5. A 0.45-V Supply, 22.77-nW Resistor-Less Switched-Capacitor Bandgap Voltage Reference
Published in: Elsevier Computers and Electrical Engineering Journal, 2025
Summary:
This resistor-less switched-capacitor BGR operates at ultra-low supply voltages (0.45 V) and consumes only 22.77 nW. It removes passive resistors entirely, improving integration efficiency and size reduction for system-on-chip (SoC) designs.

Conclusion

Mr. Hamidreza Rashidian is a highly dedicated and technically competent researcher in the field of analog and mixed-signal integrated circuits. His scholarly contributions through peer-reviewed journals, active teaching roles, and independent research initiatives demonstrate the hallmarks of a committed and impactful researcher. With continued international engagement and further innovation in high-impact areas, he stands as a strong candidate for the Best Researcher Award.

Sirmayanti | AI and Digital Communication | Women Researcher Award

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Assoc. Prof. Dr. Sirmayanti | AI and Digital Communication | Women Researcher Award

Associate Professor at Politeknik Negeri Ujung Pandang, Indonesia.

Assoc. Prof. Dr. Sirmayanti, Ph.D., is a prominent Indonesian scholar in telecommunication engineering, currently serving at the State Polytechnic of Ujung Pandang (PNUP). With a career spanning over two decades, she combines academic excellence, cutting-edge research, and impactful community engagement. She earned her Ph.D. in Electrical and Electronic Telecommunication Engineering from Victoria University, Australia, with Cum Laude distinction. Her research explores a wide spectrum—from 5G and RF engineering to artificial intelligence, IoT, and green communication technologies. As Head of the Telecommunication Network Engineering Technology program and the Centre for Applied Telecommunications Technology Research at PNUP, she has mentored numerous scholars and led various national and international innovation projects. Her prolific output includes over 60 publications, 15 technical books, and numerous patented inventions. A passionate advocate for education and digital equity, she’s been widely recognized for her contributions, including multiple presidential awards and the Australia Awards Alumni honor.

🌐Author Profile

🎓 Education 

Sirmayanti’s educational journey reflects a trajectory of excellence across multiple continents. She earned her Ph.D. in Electrical and Electronic Telecommunication Engineering from Victoria University, Australia (2015), where she graduated cum laude for her innovative research in digital RF architectures. Her Master of Engineering from the same university (2008) was awarded with First-Class Honors, reinforcing her expertise in signal processing and software radio systems. Her Bachelor of Engineering in Telecommunications, from Hasanuddin University, Indonesia (2001), was completed with High Distinction. She began her technical training at SMK Telkom Sandhy Putra 2 (1997), where she laid the foundation for her career in communications technology. In 2024, she was formally recognized as an Insinyur Profesional Utama (IPU), ASEAN Engineer, and APEC Engineer, further validating her technical leadership at the global level. Her continuous professional development includes numerous international certifications in Open RAN, IoT, AI, and RF engineering, demonstrating her commitment to lifelong learning.

Strengths for the Award

  1. Academic Excellence & Global Exposure:

    • Holds a Ph.D. with Cum Laude honors in Electrical and Electronic Telecommunication Engineering from Victoria University, Australia.

    • Her academic track includes top honors at every level, showcasing consistent high performance.

  2. Extensive Multidisciplinary Research:

    • Research covers Wireless Communications, IoT, AI, RF Engineering, Satellite Communications, and 5G.

    • Led and contributed to over 35+ funded research projects from national and international agencies (e.g., BRIN, KEMENRISTEKDIKBUD, DIKTI, AFS, Australia Direct Aid).

  3. High Research Output:

    • Over 60 peer-reviewed publications, including Scopus-indexed journal articles (Q1–Q3) and IEEE Award proceedings.

    • Significant work on metaheuristic algorithms for diabetes prediction, 5G networks, and digital RF systems.

  4. Innovation and Patents:

    • Holds multiple patents and copyrights (2020–2025) on innovations such as:

      • Wireless Bridge Mi-Fi 4G

      • Techniques for RF Spectrum Image Cancellation

      • Tools for lithium battery drop testing

    • Demonstrates intellectual property development at a national level.

  5. Leadership and Capacity Building:

    • Head of the Telecommunication Network Engineering Program and Center for Applied Telecommunications Technology Research (PNUP).

    • National assessor, ISO lead auditor, and active in curriculum reform and national education initiatives.

💼 Professional Experience 

Since 2001, Sirmayanti has served as a Lecturer and Researcher at the State Polytechnic of Ujung Pandang (PNUP), where she currently leads both the Telecommunication Network Engineering Technology Program and the Centre for Applied Telecommunications Technology Research (CATTAR). Her experience spans academia, national policy, quality assurance, and technology innovation. She is a certified lead auditor for ISO 9001 and an assessor for national educational programs like BKD, BIP, and Praktisi Mengajar under Indonesia’s Ministry of Research and Education. Her leadership in internal quality systems and curriculum design has transformed vocational education frameworks. She has led over 40 funded research and community service projects across 5G, AI, IoT, and rural connectivity systems. Internationally, she collaborates with UiTM Malaysia and is a certified practitioner in Open RAN, AI, and RF planning. Her blend of administrative leadership, hands-on technical innovation, and commitment to community service uniquely positions her in advancing AI and digital communication technologies.

🏅 Awards and Honors

Assoc. Prof. Sirmayanti has been decorated with some of Indonesia’s highest honors for civil service, including the Satyalancana Karya Satya 20 Tahun and 10 Tahun awards from the President of the Republic of Indonesia in 2024 and 2018. She is also among the “70 Outstanding Alumni” of Australian institutions recognized by Australia Awards Indonesia. She received the PIN LEMHANNAS award in 2024 and the prestigious INSINAS Research Grant Award from BRIN for her research on distortion mitigation in 5G systems. Her academic journey was supported by multiple competitive scholarships, such as the Australian Development Scholarship (ADS) and DIKTI Fellowships for postgraduate research. Beyond institutional honors, her contributions to community service and STEM education have garnered attention from various national and international programs. Her consistent record of excellence in education, research, innovation, and social impact establishes her as a leading figure in digital communication and AI technology in Southeast Asia.

🔬 Research Focus on AI and Digital Communication

Sirmayanti’s research sits at the intersection of artificial intelligence, wireless communication, and digital signal processing. Her key focus areas include 5G/6G networks, RF engineering, IoT-based infrastructure, AI-powered healthcare diagnostics, and green communication technologies. She applies metaheuristic algorithms and machine learning models to enhance wireless performance, such as through feature optimization for disease prediction or spectral efficiency in OFDM systems. Notably, she has developed low-power RF transmitters, digital baseband tuning systems, and hardware innovations like dual-band filters for 5G. She also works on rural connectivity solutions using mini BTS and community Wi-Fi networks. Her projects are not only technically advanced but socially driven—such as her work on digital inclusion in remote Indonesian islands and health monitoring systems. Her patents and intellectual property showcase strong emphasis on applied research, while her academic publications reflect rigorous peer-reviewed contributions to the fields of AI, digital modulation, and next-generation communication protocols.

📚 Publication Top Notes

1. E-Government dan Digitalisasi Layanan Publik

Authors: M. Mirfan, M. Mariana, S. Abdullah, A. Nurfadly, S. Suhada, S. Sirmayanti
Publisher: Yayasan Kita Menulis (2025)
Type: Book/Handbook
Summary:
This publication explores the digital transformation of public services through e-government frameworks. It addresses how Indonesian government institutions adopt ICT-based platforms for public administration, service efficiency, and transparency. Sirmayanti’s contribution lies in her analysis of telecommunication infrastructure enabling smart governance and public service digitization. The book combines theoretical frameworks with empirical insights and practical models for policymakers and technocrats.

2. A Systematic Literature Review of Diabetes Prediction Using Metaheuristic Algorithm-Based Feature Selection: Algorithms and Challenges Method

Authors: FR Sirmayanti, Pulung Hendro Prastyo, Mahyati
Journal: Applied Computer Science, 21(1), pp. 126–142, 2025 (Scopus Q3)
DOI: Applied Computer Science
Summary:
This systematic review focuses on AI-based diabetes prediction models utilizing metaheuristic feature selection algorithms. The authors classify and analyze recent algorithms (GWO, PSO, ACO, etc.), evaluating their effectiveness in reducing feature dimensionality while maintaining high diagnostic accuracy. Challenges such as computational cost, algorithm convergence, and overfitting are critically discussed. The work contributes a taxonomy of algorithmic strategies and highlights future research gaps for clinical decision support systems in e-health.

3. An Enhanced Grey Wolf Optimizer with Opposition, Mutation, and Local Search Strategy for Feature Selection

Authors: M. Sirmayanti, Pulung Hendro Prastyo
Conference: 2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), pp. 96–101
Summary:
This Award paper proposes an improved version of the Grey Wolf Optimizer (GWO) for feature selection by incorporating opposition-based learning, mutation, and local search mechanisms. The hybridized GWO algorithm demonstrated enhanced exploration-exploitation balance and was tested on medical and telecom datasets. Results showed better performance compared to standard GWO and other algorithms, with significant implications for AI-driven feature selection in classification systems.

4. Design of Dual-Band Bandpass Filter (DBPF) for 5G Applications

Authors: M. Mimsyad, A. Bazergan, S. Sirmayanti
Journal: AIP Conference Proceedings, Vol. 3140, 040018 (2024)
DOI: 10.1063/5.0222871
Summary:
This study presents the design and simulation of a dual-band bandpass filter (DBPF) aimed at 5G wireless applications. Utilizing advanced substrate materials and electromagnetic modeling, the design supports frequency bands relevant for mid-band 5G use cases. Sirmayanti contributed to the filter miniaturization and optimization phase. The paper outlines how the DBPF improves signal selectivity and reduces interference, with potential application in small-cell architectures and 5G-enabled devices.

5. Rekayasa Mitigasi Kebocoran Gas LPG dengan Sistem Monitoring Telegram Bot Berbasis Internet of Things (IoT)

Authors: S. Sirmayanti, E. Dwi Melda
Conference: Seminar Nasional Teknik Elektro dan Informatika (SNTEI), Vol. 9(1), pp. 223–228, 2023
Summary:
This paper discusses the development of an IoT-based real-time monitoring system for LPG gas leak detection, integrated with a Telegram bot alert system. The authors designed and implemented an Arduino-based sensor framework to monitor gas concentration in households and notify users immediately through messaging. Sirmayanti led the system integration and sensor calibration. The project highlights practical IoT use cases in smart safety systems for domestic environments.

✅ Conclusion

Assoc. Prof. Sirmayanti is highly suitable for the Women Researcher Award. Her extensive academic, research, innovation, and community engagement portfolio, combined with her leadership in engineering education and commitment to women’s empowerment in STEM, exemplify the spirit of the award. Her work not only advances telecommunications and AI research but also bridges technology with sustainable development and inclusive education—hallmarks of a transformative woman researcher.