Kaíque Oliveira | Chemical Engineering | Editorial Board Member

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Dr. Kaíque Oliveira | Chemical Engineering | Editorial Board Member

Researcher | Federal University of São Carlos | Brazil

Dr. Kaíque Souza Gonçalves Cordeiro Oliveira, a Professor at IFSULDEMINAS, is an expert in electrochemical treatment of water and wastewater, with specialization in electrooxidation and capacitive and faradaic processes; he has completed advanced academic training with graduate degrees focused on electrochemical and environmental engineering disciplines, building a strong foundation in applied research and technological development. His professional experience includes leading instructional and research activities, mentoring students, and contributing to institutional projects that advance sustainable water-treatment technologies. Dr. Oliveira’s research centers on developing innovative electrochemical approaches for pollutant degradation, system optimization, and materials performance, resulting in impactful publications and growing recognition within the scientific community. His scholarly contributions, including peer-reviewed articles and participation in collaborative research initiatives, reflect his commitment to advancing environmentally responsible treatment methods. He has received professional acknowledgments for academic excellence, serves in editorial and review capacities for scientific journals, and contributes to professional societies and technical committees that promote innovation in electrochemical engineering.

Profiles: Google Scholar

Featured Publications

1. Juchen, P. T., Barcelos, K. M., Oliveira, K. S. G. C., & Ruotolo, L. A. M. (2022). Using crude residual glycerol as precursor of sustainable activated carbon electrodes for capacitive deionization desalination. Chemical Engineering Journal, 429, 132209.

2. Barcelos, K. M., Oliveira, K. S. G. C., & Ruotolo, L. A. M. (2020). Insights on the role of interparticle porosity and electrode thickness on capacitive deionization performance for desalination. Desalination, 492, 114594.

3. Oliveira, K. S. G. C., dos Santos, E. V., Loor-Urgilés, L. D., Shabanloo, A., & others. (2025). The world impact of boron doped diamond electrodes and low-cost strategies for novel production systems for sustainable wastewater treatment. Current Opinion in Electrochemistry, 101648.

4. Oliveira, K. S. G. C., Farinos, R. M., Veroli, A. B., & Ruotolo, L. A. M. (2021). Electrochemical incineration of glyphosate wastewater using three-dimensional electrode. Environmental Technology, 42(2), 170–181.

5. Oliveira, K. S. G. C., Barcelos, K. M., Lado, J. J., Palma, J., & Ruotolo, L. A. M. (2023). Improving the electrochemical desalination performance of chloride-doped polyaniline activated carbon electrode by tuning the synthesis method. Chemical Engineering Journal, 457, 141059.

Dr. Kaíque Souza Gonçalves Cordeiro Oliveira’s work advances sustainable electrochemical technologies that enable cleaner water, improved resource recovery, and more resilient environmental systems. His innovations in electrooxidation and capacitive deionization contribute to global efforts to ensure accessible, energy-efficient, and environmentally responsible water treatment solutions for industry and society.

Mehdi Masoodi | Electronic and Telecommunication Engineering | Best Researcher Award

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Dr. Mehdi Masoodi | Electronic and Telecommunication Engineering | Best Researcher Award

Senior Researcher | CNR-IREA | Italy

Dr. Mehdi Masoodi is a distinguished postdoctoral researcher at CNR-IREA, Naples, Italy, specializing in signal and image processing with a particular focus on radar imaging and the application of artificial intelligence to enhance imaging capabilities. He earned his Ph.D. in Industrial and Information Engineering from the University of Campania Luigi Vanvitelli, Italy, following a Master’s degree with honors in Telecommunication Engineering from Azad University, Iran, and a Bachelor’s in Telecommunications Engineering from Pasargad University, Iran. Dr. Masoodi’s professional experience spans roles as a postdoctoral researcher, volunteer researcher, and electronics engineer, contributing to projects including contactless surveys of reinforced concrete, antenna diagnostics, and telecommunication infrastructure development. He has co-authored numerous peer-reviewed journal articles, served as a referee for international journals and conferences, and is recognized for his contributions to model-based radar imaging strategies and AI-driven signal processing approaches. His work has earned significant citations, reflecting its impact and relevance in the scientific community. Dr. Masoodi has also been acknowledged for his academic excellence through national ranking distinctions and top performance in competitive examinations. Proficient in Matlab, Python, and GPR-MAX, he has demonstrated leadership in research projects and collaborative initiatives, combining technical expertise with innovation. His ongoing dedication to advancing radar imaging research, mentoring emerging scholars, and contributing to high-quality scientific publications establishes him as a leading figure in his field and a worthy candidate for recognition.

Profiles: Google Scholar | Scopus 

Featured Publications

1. Masoodi, M., & Taromideh, H. (2025). Optimal and uniform sensor arrangement in near-field imaging. Journal of Computational and Applied Mathematics, 454, 116188.

2. Masoodi, M., Gennarelli, G., Soldovieri, F., & Catapano, I. (2024). Multiview multistatic vs. multimonostatic three-dimensional ground-penetrating radar imaging: A comparison. Remote Sensing, 16(17), 3163.

3. Masoodi, M., Esposito, G., Gennarelli, G., Maisto, M. A., & Soldovieri, F. (2024). Transverse resolution in 2D linear inverse scattering by a multimonostatic/multifrequency configuration. IEEE Geoscience and Remote Sensing Letters.

4. Taromideh, F., Fazloula, R., Choubin, B., Masoodi, M., & Mosavi, A. (2024). Ensemble machine learning for urban flood hazard assessment. In 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics.

5. Masoodi, M., & Leone, G. (2023). Diagnostics of conformal arrays by phaseless data and non-uniform sampling. In 2023 IEEE Conference on Antenna Measurements and Applications (CAMA) (pp. 212–216).

Zhen Li | Reliability and Systems Engineering | Best Researcher Award

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Prof. Dr. Zhen Li | Reliability and Systems Engineering | Best Researcher Award

Leader | Jiangsu University of Science and Technology | China

Prof. Dr. Zhen Li is an accomplished researcher and academic with extensive expertise in aerospace systems engineering, signal processing, and formal verification of software safety. He completed his higher education in business management, signal and information processing, and aerospace systems, culminating in a Ph.D. from a prestigious university. Over his career, he has held academic positions ranging from lecturer to professor, demonstrating consistent dedication to teaching and research. He has led research groups, authored a notable book, and published numerous papers in high-impact journals, with his work receiving significant citations. Prof. Li has also contributed to professional societies, including IEEE and the Chinese Artificial Intelligence Society, and has been recognized with national-level awards for his research excellence. His international collaborations and leadership roles highlight his influence in advancing research in engineering and artificial intelligence. With a strong record of innovation and mentorship, he continues to show great potential for future high-impact contributions.

Profiles: ORCID

Featured Publications

1. Li, Z., Tian, L., Sun, C., Wu, Y., Wang, D., & Miao, H. (2022). A systematic research on system recovery based on improved genetic algorithm and quotient resilience model under attack and damage. International Journal of Computational Intelligence Systems.

2. Liu, Y., Li, Z., Wang, D., Miao, H., & Wang, Z. (2021). Software defects prediction based on hybrid particle swarm optimization and sparrow search algorithm. IEEE Access.

3. Wu, Y., Li, Z., Sun, C., Wang, D., Zhao, B., & Yu, Z. (2021). Measurement and control of system resilience recovery by path planning based on improved genetic algorithm. Measurement and Control.

4. Li, Z. (2021). Safety ontology modeling and verification on MIS of ship-building and repairing enterprise. KSII Transactions on Internet and Information Systems.

5. Li, Z., Li, T., Wu, Y., Liu, Y., Miao, H., Wang, D., & Precup, R.-E. (2021). Software defect prediction based on hybrid swarm intelligence and deep learning. Computational Intelligence and Neuroscience.

Dongfeng Qi | Engineering | Best Researcher Award

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Prof. Dongfeng Qi | Engineering | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Dongfeng Qi is a leading researcher in laser manufacturing and material processing, specializing in femtosecond and nanosecond laser applications for advanced materials and flexible electronics. His work integrates theoretical modeling with experimental techniques to develop innovative micro- and nanostructures, including copper and silicon-based materials, phase-change films, and smart electronic devices. Prof. Qi has made substantial contributions to understanding laser-material interactions and patterning technologies, with high-impact publications in top-tier journals. He demonstrates strong interdisciplinary collaboration and mentorship, fostering international research partnerships and the growth of emerging scientists. His research is recognized for both fundamental insights and practical applications in photonics, energy storage, and flexible electronics. Prof. Qi’s consistent innovation, high-quality experimental work, and leadership in the field establish him as a leading figure in laser-based materials science. According to Scopus, he has 535 citations, 71 documents, and an h-index of 13.

Profiles: Scopus | Google Scholar

Featured Publications

1. Programming nanoparticles in multiscale: optically modulated assembly and phase switching of silicon nanoparticle array; L. Wang, Y. Rho, W. Shou, S. Hong, K. Kato, M. Eliceiri, M. Shi, …; ACS Nano, vol. 12, no. 3, pp. 2231–2241, 2018; 39 citations

2. Time-resolved analysis of thickness-dependent dewetting and ablation of silver films upon nanosecond laser irradiation; D. Qi, D. Paeng, J. Yeo, E. Kim, L. Wang, S. Chen, C. P. Grigoropoulos; Applied Physics Letters, vol. 108, no. 21, 2016; 37 citations

3. Femtosecond laser-induced large area of periodic structures on chalcogenide glass via twice laser direct-writing scanning process; X. Yu, Q. Zhang, D. Qi, S. Tang, S. Dai, P. Zhang, Y. Xu, X. Shen; Optics & Laser Technology, vol. 124, 105977, 2020; 34 citations

4. Progress in the design, nanofabrication, and performance of metalenses; Z. Wang, Y. Wu, D. Qi, W. Yu, H. Zheng; Journal of Optics, vol. 24, no. 3, 033001, 2022; 31 citations

5. Progress in preparation and applications of Te-As-Se chalcogenide glasses and fibers; Z. Wu, Y. Xu, D. Qi, Q. Nie, X. Zhang; Infrared Physics & Technology, vol. 102, 102981, 2019; 31 citations

Ivett Greta Zsak | Engineering | Best Researcher Award

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Ms. Ivett Greta Zsak | Engineering | Best Researcher Award

Ivett Greta Zsak | Technical University of Cluj-Napoca | Romania

Ms. Ivett-Gréta Zsák is an accomplished architect, lecturer, and PhD candidate with a strong focus on sustainable architecture, heritage preservation, and adaptive design. She has developed innovative frameworks, notably the Building Identity Passport for prefabricated housing rehabilitation, reflecting a unique integration of health, community engagement, and building performance. Her work demonstrates a balance between academic rigor and practical implementation, including coordinating heritage interventions and contributing to national architectural guidelines. She has actively participated in international conferences, showcasing thought leadership and fostering cross-cultural collaboration. Her technical proficiency in BIM, AutoCAD, and participatory design tools enhances her research’s practical impact, while her multilingual skills allow effective engagement in diverse academic environments. Recognized with multiple architecture awards, Ms. Zsák exemplifies a researcher whose work bridges theory and practice. Her research is measurable in Scopus, with 2 documents cited by 11 sources and an h-index of 2, demonstrating both productivity and scholarly influence.

Profile: Scopus | ORCID

Featured Publications

1. C. Savu, A.-H. Pescaru, I.-G. Zsak, A.-M. Durgheu, A.-P. Frent, N.-S. Suba, A. S. Buda, and S. Nistor, “Analysis on Using 3D Scanning and BIM to Reduce the Physical and Non-Physical Construction Waste for Sustainable Fireproofing of Steel Trusses,” Sustainability, Feb. 2024.

2. G. I. Zsak, “Ghiduri de arhitectură pentru încadrarea în specificul local din mediul rural,” The Order of Architects of Romania, Mar. 2020.

3. G. I. Zsak, “Regeneration of the industrial heritage in the central area of Oradea,” Materials Science and Engineering, vol. 603, Sep. 2019.

Akbar Hojjati Najafabadi | Engineering | Best Industrial Research Award

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Dr. Akbar Hojjati Najafabadi | Engineering | Best Industrial Research Award

Faculty at Islamic Azad University Mobarakeh Branch, Iran

Dr. Akbar Hojjati Najafabadi is a distinguished researcher in mechanical engineering with expertise in manufacturing, production, hydraulics, pneumatics, robotics, and assistive technology. His research focuses on the design and development of orthotic and rehabilitation devices for individuals with spinal cord injuries and locomotion disabilities, bridging engineering innovation with healthcare needs. He has contributed significantly to industrial research through academic publications in international journals, authored and translated technical books, and supervised projects that integrate mechanical systems with biomedical applications. Beyond academia, he has executed impactful industrial projects, including the design and installation of specialized machinery in major steel industries, showcasing his ability to translate theory into practice. As a lecturer and research leader, he has guided advanced engineering initiatives and mentored students while promoting applied industrial solutions. Recognized for his pioneering contributions, Dr. Hojjati’s work demonstrates a balance of academic rigor, industrial innovation, and social impact, positioning him as a strong industrial researcher.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Akbar Hojjati Najafabadi holds a strong academic foundation in mechanical engineering, specializing in manufacturing and production. He earned his Ph.D. in Mechanical Engineering from Kashan University, where his doctoral research focused on advanced manufacturing and production processes with applications in assistive technologies. Prior to that, he completed his master’s degree at Iran University of Science and Technology, gaining expertise in industrial systems and applied mechanical design. His undergraduate studies were carried out at Islamic Azad University in Najafabad, providing him with the essential grounding in mechanical and production engineering. He also broadened his international research exposure through a visiting research position at the Friedrich Wilhelm Bessel Institut in Germany. This combination of domestic and international education has allowed him to integrate theoretical knowledge with practical innovation, preparing him to tackle complex industrial and biomedical engineering challenges. His academic journey reflects a continuous pursuit of applied, impactful research.

Experience

Dr. Hojjati has built a distinguished career in both academia and industry, serving as a lecturer in mechanical engineering at Islamic Azad University, Mobarakeh Branch, for over two decades. His teaching portfolio includes advanced hydraulics, robotics, industrial measurements, machining, and materials strength, equipping future engineers with cutting-edge knowledge. Beyond teaching, he has taken leadership roles such as group manager of the mechanical engineering department and head of the Advanced Engineering Research Center, where he spearheaded innovative industrial research projects. His applied expertise extends to significant industrial collaborations, including the design, development, and installation of specialized machinery for large-scale steel industries. He has also implemented research-based prototypes such as robotic orthoses, pneumatic muscle-driven devices, and CNC-based robotic systems. This combination of academic leadership, practical industrial implementation, and applied research highlights his commitment to bridging the gap between education, industry, and innovation. His experience exemplifies a balance of teaching, research, and industrial application.

Research Focus

Dr. Hojjati’s research primarily centers on the integration of mechanical engineering with assistive and rehabilitation technologies. His work emphasizes the design and development of orthotic systems, exoskeletons, and assistive devices aimed at improving mobility for individuals with spinal cord injuries and lower-limb disabilities. He has investigated mechanical and motor-driven systems for sit-to-stand transitions, gait improvement, and locomotion rehabilitation, with several prototypes demonstrating practical benefits in healthcare applications. His studies also extend to robotics, hydraulics, and pneumatics, with innovative applications of fluidic muscles and electromechanical drives in rehabilitation devices. In addition to biomedical engineering, he has explored industrial automation, machining performance, and intelligent monitoring systems for robotics. His extensive publication record in international journals, along with ongoing research into exoskeleton technologies, reflects his commitment to applied, impactful innovations. Overall, his research focus merges industrial engineering expertise with biomedical solutions, showcasing his dedication to developing technologies that improve human life and industrial practices.

Award and Honor

Dr. Hojjati has been recognized for his pioneering contributions to industrial and applied research with distinctions that reflect both academic and practical excellence. He was honored as a Pioneer Investigator by Islamic Azad University, highlighting his leadership in advancing engineering education and research. His inventive spirit is demonstrated by his patented Surface Quick Modeling Machine, certified by the General Bureau of Industrial Possessions and Corporations Records, marking a significant contribution to industrial innovation. Alongside this, his published works in highly regarded international journals and conference presentations have further solidified his standing as a recognized researcher in mechanical and biomedical engineering fields. His authored and translated books on pneumatics, robotics, mechatronics, and industrial systems showcase his commitment to knowledge dissemination and professional development. These awards and honors underscore his role as a respected academic and industrial innovator, reflecting a career dedicated to advancing engineering solutions with real-world impact.

Publications Top Notes

  • Title: Mechanical design and simulation of a saddle-assistive device for sit-to-stand transfer in healthy subjects
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2017
    Citations: 8

  • Title: The effect of saddle-assistive device on improving the gait parameters of patients with the lower limbs weakness: a pilot study
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2020
    Citations: 2

  • Title: Machining performance on AISI 304 steel in the milling machine with mechanical and hydraulic spindle
    Authors: M Shirazi, A Hojjati Najafabadi, S Amini
    Year: 2024
    Citations: 1

  • Title: Using a saddle-assistive device equipped with mechanical orthosis for walking of the person with incomplete spinal cord injury
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2021
    Citations: 1

  • Title: Improving sit-to-stand transition by the saddle-assistive device in the spinal cord injury: A case study
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2021
    Citations: 1

  • Title: Novel design and comprehensive mechanical analysis of a cost-effective manual patient lifting system with worm gear mechanism
    Authors: A Hojjati Najafabadi, M Ahmadi Bani
    Year: 2025

  • Title: Innovative Enhancements in Surface Quality and Hardness of Aluminium Alloy 2024 through an Optimized Burnishing Process
    Authors: AH Najafabadi
    Year: 2024

  • Title: Development of the Burnishing Process: Moving Towards Increasing the Quality and Surface Hardness of Aluminum alloy 2024
    Authors: AH Najafabadi
    Year: 2023

  • Title: Comparison of anterior and posterior wheeled walkers based on body weight support in improving gait function a subjects with spinal cord injury: A case study
    Authors: AH Najafabadi, MA Bani, V Pourmoghadam
    Year: 2022

  • Title: Design of patient lifting device based on the use of a worm gears mechanism in the protection of the caregiver
    Authors: AH Najafabadi
    Year: 2022

  • Title: Rapid welding of aluminum for marking on hot steel
    Authors: HB Soroush Baladi, Akbar Hojjati Najafabadi, Mohammad Reza Khanzadeh
    Year: 2022

Conclusion

Dr. Akbar Hojjati Najafabadi’s publication record reflects a strong and consistent focus on applied industrial and biomedical engineering research. His contributions span from early work in assistive device design to recent advancements in machining processes, patient lifting systems, and rehabilitation technologies. The research demonstrates both technical depth and practical application, particularly in developing innovative solutions for spinal cord injury rehabilitation and industrial manufacturing improvements. While some of his works have already gained citations and recognition in reputable journals, others represent emerging areas with potential for broader impact. The combination of interdisciplinary research, industrial collaboration, and continuous innovation positions him as a significant contributor to industrial research. His work not only advances scientific knowledge but also provides tangible benefits to healthcare and industry, reinforcing his suitability for recognition such as the Best Industrial Research Award.

Salem Batiyah | Engineering | Best Researcher Award

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Dr. Salem Batiyah | Engineering | Best Researcher Award

Assistant Professor at Yanbu Industrial College, Saudi Arabia

Dr. Salem Mohammed Batiyah is a dedicated researcher in electrical engineering with strong contributions to distributed energy resources, microgrids, and advanced control systems. His work is published in respected journals such as IEEE Access and Energies, covering both theoretical and applied aspects of renewable energy systems. He has an active role as a reviewer for top-tier journals, reflecting recognition by the global research community. In addition to his research, Dr. Batiyah demonstrates academic leadership through curriculum development, teaching, and quality assurance roles. While his citation metrics and absence of major research grants suggest areas for growth, his ongoing publication record and technical expertise indicate a solid foundation for future impact. Strengthening international collaborations and securing research funding will further enhance his research profile. Overall, Dr. Batiyah is a strong candidate for the Best Researcher Award, especially in domains valuing practical innovation and contributions to sustainable energy and smart grid development

Professional Profile 

Google Scholar

Strengths for the Award

Dr. Salem Mohammed Batiyah presents a strong and relevant research portfolio in modern electrical engineering fields, particularly in distributed energy resources (DERs), microgrids, hybrid power plants, and advanced control systems. His work addresses high-impact areas such as renewable energy integration, predictive control, and fault-tolerant power electronics, which are central to global energy transition goals.

He has authored multiple peer-reviewed journal and conference papers, with publications in well-regarded outlets such as IEEE Access and Energies. These include both novel technical contributions and comprehensive reviews, suggesting breadth and depth. His global engagement as a reviewer for prestigious journals such as IEEE Transactions on Industrial Informatics and IEEE JESTIE reflects his standing in the academic community.

Additionally, Dr. Batiyah combines research with active academic and administrative leadership, curriculum development, and extensive teaching in power systems and control engineering. This integration of research and teaching enhances his impact and dissemination of knowledge.

Education

Dr. Salem Mohammed Batiyah holds a Ph.D. in Electrical Engineering from Mississippi State University, where he specialized in power management and control systems for renewable energy applications. He earned his M.Sc. and B.Sc. degrees in Electrical Engineering from Western Michigan University. His graduate studies focused on distributed energy resources, microgrid integration, and model predictive control systems. Throughout his academic journey, Dr. Batiyah developed a solid foundation in both theoretical and practical aspects of power systems, signal processing, and advanced control techniques. His educational background is complemented by professional certifications, including Lean Six Sigma and OSHA safety training, demonstrating his commitment to quality and operational excellence. Dr. Batiyah’s education has prepared him to address real-world engineering challenges in sustainable energy and has laid the groundwork for a research-oriented academic career. His academic experience is characterized by interdisciplinary training and international exposure, enhancing his perspective in solving complex energy system problems.

Experience

Dr. Salem Batiyah brings a wealth of academic and professional experience to the field of electrical engineering. Since 2020, he has been serving as an Assistant Professor at Yanbu Industrial College, where he has taught various undergraduate and associate courses in power electronics, control systems, and industrial electronics. He also worked as a Graduate Research Assistant at Mississippi State University from 2015 to 2020, engaging in research related to power management in renewable energy systems. His earlier academic experience includes working as a lecturer at Yanbu Industrial College from 2014 to 2020. Dr. Batiyah has held several administrative roles such as Department Curriculum Coordinator, Head of Curriculum and Development, and Academic Quality Coordinator. He is actively involved in multiple college and department-level committees, contributing to academic planning, program development, and quality assurance. His career reflects a blend of teaching, research, and leadership, all aimed at advancing engineering education and applied energy solutions.

Awards and Honors

Dr. Salem Batiyah has received multiple awards and honors recognizing his academic excellence and professional achievements. Notably, he was inducted into prestigious honor societies including Phi Kappa Phi, Gamma Beta Phi, and IEEE Eta Kappa Nu, reflecting high academic performance during his graduate and undergraduate studies. He was awarded the First Class Standing Award for Master of Science students and consistently made the Dean’s List during his undergraduate years. In 2023, his research output earned him 123 scholarly citations, with an h-index of 5 and an i10-index of 3, indicating growing recognition within the research community. Additionally, he holds professional certifications such as Black Belt in Lean Six Sigma and OSHA Safety Training, demonstrating his commitment to continuous professional development. His active participation in global academic organizations and contributions as a peer reviewer for multiple IEEE journals further validate his influence and leadership in the field of electrical and energy engineering.

Research Focus on Engineering

Dr. Salem Batiyah’s research centers around the modeling, analysis, and control of distributed energy resources (DERs), including solar photovoltaics and battery energy storage systems. His work addresses the integration of these resources into microgrids and hybrid power plants, with an emphasis on system reliability and efficiency. A key area of focus is the application of advanced control methods such as nonlinear, robust, and model predictive control (MPC) to optimize energy management under varying load and environmental conditions. Dr. Batiyah also explores advanced signal processing and phase-locked loops within DER systems, supporting grid stability and intelligent power conversion. His research aims to provide scalable and sustainable solutions to modern energy challenges, contributing to the global shift toward renewable and decentralized energy systems. Through peer-reviewed publications and academic collaborations, Dr. Batiyah is establishing himself as a forward-thinking researcher addressing critical challenges in the evolving energy landscape.

Publications Top Notes

  • Title: An MPC-based power management of standalone DC microgrid with energy storage
    Authors: S. Batiyah, R. Sharma, S. Abdelwahed, N. Zohrabi
    Year: 2020
    Citations: 111

  • Title: An MPC-based power management of a PV/battery system in an islanded DC microgrid
    Authors: S. Batiyah, N. Zohrabi, S. Abdelwahed, R. Sharma
    Year: 2018
    Citations: 36

  • Title: Single-phase fault tolerant multilevel inverter topologies—comprehensive review and novel comparative factors
    Authors: H. Rehman, M. Tariq, A. Sarwar, W. Alhosaini, M.A. Hossain, S.M. Batiyah
    Year: 2022
    Citations: 22

  • Title: Optimal control design of a voltage controller for stand-alone and grid-connected PV converter
    Authors: S. Batiyah, N. Zohrabi, S. Abdelwahed, T. Qunais, M. Mousa
    Year: 2018
    Citations: 17

  • Title: Predictive control of PV/battery system under load and environmental uncertainty
    Authors: S. Batiyah, R. Sharma, S. Abdelwahed, W. Alhosaini, O. Aldosari
    Year: 2022
    Citations: 15

  • Title: Performance evaluation of multiple machine learning models in predicting power generation for a grid-connected 300 MW solar farm
    Authors: O. Aldosari, S. Batiyah, M. Elbashir, W. Alhosaini, K. Nallaiyagounder
    Year: 2024
    Citations: 11

  • Title: Image-based partial discharge identification in high voltage cables using hybrid deep network
    Authors: O. Aldosari, M.A. Aldowsari, S.M. Batiyah, N. Kanagaraj
    Year: 2023
    Citations: 8

  • Title: Impact of variation of energy resources on voltage stability of a micro grid
    Authors: M.A. Mousa, S. Abdelwahed, S.M. Batiyah, T. Qunais
    Year: 2017
    Citations: 6

  • Title: Deep neural networks model for accurate photovoltaic parameter estimation under variable weather conditions
    Authors: S. Batiyah, A. Al-Subhi, O. Elsherbiny, O. Aldosari, M. Aldawsari
    Year: 2025

  • Title: Predictive control of standalone DC microgrid with energy storage under load and environmental uncertainty
    Author: S.M. Batiyah (Ph.D. Dissertation)
    Year: 2020

Conclusion

Dr. Salem Mohammed Batiyah exemplifies a rising leader in electrical and energy systems engineering, combining academic rigor with real-world impact. His research contributions, especially in renewable energy integration and intelligent control systems, align with global priorities for sustainability and innovation. His dual strengths in teaching and research, complemented by his service in academic development and international peer reviewing, position him as a multidimensional scholar. While his citation metrics and grant record indicate room for further growth, his upward trajectory and commitment to excellence are undeniable. Dr. Batiyah stands out as a promising candidate for recognition in the research community and is well on his way to becoming a major contributor to the field of smart and sustainable energy systems. With continued focus on high-impact collaboration and innovation, he is poised to make significant strides that benefit academia, industry, and the broader society.

Velislava Lyubenova | Engineering | Best Researcher Award

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Prof. Velislava Lyubenova | Engineering | Best Researcher Award

Academician at Bulgarian Academy of Science, Institute of Robotics, Bulgaria

Velislava Lyubenova is a distinguished Bulgarian researcher and professor with over 30 years of experience in biotechnological process control, mechatronics, and adaptive systems. She currently serves as the Head of the Mechatronic Bio/technological Systems Section at the Institute of Robotics, Bulgarian Academy of Sciences (BAS), and has held various academic and leadership roles across BAS institutions. She has led more than 10 national and international research projects, participated in numerous European programs, and supervised several PhD students. With over 200 scientific publications, many in high-impact journals, and invited lectures delivered at leading international institutions, she is widely recognized for her scientific contributions. Her expertise includes the development of innovative monitoring and control systems using tools like MATLAB and LABVIEW. An awardee of the “Marin Drinov” prize for young scientists, Lyubenova is also actively involved in academic governance, expert committees, and editorial boards, reflecting her deep commitment to scientific advancement and education.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Velislava Lyubenova holds a strong academic background in technical sciences and engineering. She earned her engineering degree in Radio Electronics from the Technical University of Sofia, followed by a Ph.D. in Automation with a dissertation focused on parameter estimation and biotechnological process monitoring. Her academic journey culminated with a Doctor of Technical Sciences degree from the Institute of System Engineering and Robotics (ISIR) at the Bulgarian Academy of Sciences (BAS), specializing in adaptive control and modeling of complex biotechnological systems. Her education blends deep technical knowledge with applied research capabilities, laying the foundation for a career in both theoretical and experimental domains. Her academic formation reflects a continuous pursuit of knowledge and specialization in interdisciplinary areas, preparing her to work across the fields of electronics, biotechnology, and control systems. This educational path has also enabled her to contribute to curriculum development and mentor future generations of researchers in her field.

Professional Experience

Professor Velislava Lyubenova has built a prolific career at the Bulgarian Academy of Sciences, progressing from a research fellow to a professor and head of department at the Institute of Robotics. Her early work in adaptive and robust control systems evolved into specialized research in bioengineering and mechatronic systems for biotechnology. She has served as Scientific Secretary at IR-BAS and has been a key figure in national expert commissions and scientific councils. Over her career, she has led and coordinated numerous national and international research projects, many involving cross-disciplinary collaboration. Her leadership roles include project management, supervision of PhD students, and delivery of advanced lecture courses. She also coordinates Erasmus programs and plays a pivotal role in academic exchange and cooperation. Her professional trajectory showcases a blend of scientific innovation, team leadership, and academic mentorship, making her a respected figure in both the Bulgarian and broader European research communities.

Research Interest

Velislava Lyubenova’s research is deeply rooted in the interdisciplinary fields of bioengineering, automation, and mechatronics. Her primary interest lies in the modeling, monitoring, and adaptive control of biotechnological processes, where she develops innovative methodologies to improve efficiency and reliability. She integrates control theory with practical applications using environments like MATLAB and LABVIEW, creating real-time monitoring systems that bridge theoretical concepts with industrial needs. Her work often addresses complex system dynamics in bioprocesses and seeks to optimize process performance through intelligent control algorithms. Additionally, she explores knowledge-based and adaptive systems that contribute to the advancement of next-generation biotechnological platforms. Her collaborative research also extends into European Union projects, educational initiatives, and technology transfer programs, reflecting a holistic approach to scientific inquiry. With a strong focus on experimental validation, her research continues to influence the development of advanced technologies in the fields of bioprocess engineering and industrial automation.

Award and Honor

Throughout her distinguished career, Velislava Lyubenova has received notable recognition for her contributions to science and research. A significant early milestone was her receipt of the “Marin Drinov” Young Scientist Award from the General Assembly of the Bulgarian Academy of Sciences in 1998—an honor bestowed upon promising researchers demonstrating exceptional scientific potential. She has also been invited to deliver over 15 specialized lectures at prestigious institutions abroad and six within Bulgaria, signifying her international recognition as a subject-matter expert. Her active involvement in over 30 international and national conferences further underscores her scientific engagement. Beyond individual accolades, her roles as a reviewer, jury member, editorial board member, and lecturer reflect a broader institutional and peer recognition of her expertise. These honors represent both her academic excellence and leadership in advancing science and education, and they demonstrate her lasting impact on the Bulgarian and global research landscape.

Conclusion

Velislava Lyubenova stands out as an accomplished and influential researcher in the fields of biotechnological systems and automation. Her extensive education, progressive professional experience, and leadership in multidisciplinary research projects position her as a key contributor to both national and international scientific advancement. Her ability to combine theoretical models with practical applications, mentor young scientists, and contribute to global academic forums speaks to her depth of expertise and dedication. She has earned peer and institutional recognition for her scientific work, making her a respected leader in her field. Her over 200 publications, contributions to prestigious journals, and active engagement in scientific committees demonstrate both productivity and academic integrity. With a strong foundation in research and innovation, and an enduring commitment to education and collaboration, Velislava Lyubenova is exceptionally well-qualified for honors such as the Best Researcher Award. Her career reflects a lifelong dedication to the pursuit of scientific excellence and societal impact.

Publications Top Notes

  • Title: Indirect adaptive linearizing control of a class of bioprocesses–Estimator tuning procedure
    Authors: MN Ignatova, VN Lyubenova, MR García, C Vilas, AA Alonso
    Year: 2008
    Citations: 31

  • Title: Kinetic characteristics of alcohol fermentation in brewing: state of art and control of the fermentation process
    Authors: V Shopska, R Denkova, V Lyubenova, G Kostov
    Year: 2019
    Citations: 21

  • Title: Adaptive control of fed-batch process for poly-beta-hydroxybutyrate production by mixed culture
    Authors: M Ignatova, V Lyubenova
    Year: 2007
    Citations: 16

  • Title: Control of biotechnological processes-new formalization of kinetics: Theoretical aspects and applications
    Authors: M Ignatova, V Lyubenova
    Year: 2011
    Citations: 15

  • Title: Model-based monitoring of biotechnological processes—a review
    Authors: V Lyubenova, G Kostov, R Denkova-Kostova
    Year: 2021
    Citations: 12

  • Title: Adaptive control of the Simultaneous Saccharification—Fermentation Process from Starch to Ethanol
    Authors: S Ochoa, V Lyubenova, JU Repke, M Ignatova, G Wozny
    Year: 2008
    Citations: 12

  • Title: An efficient hybrid of an ant lion optimizer and genetic algorithm for a model parameter identification problem
    Authors: O Roeva, D Zoteva, G Roeva, V Lyubenova
    Year: 2023
    Citations: 11

  • Title: Control of one stage bio ethanol production by recombinant strain
    Authors: V Lyubenova, S Ochoa, J Repke, M Ignatova, G Wozny
    Year: 2007
    Citations: 11

  • Title: Escherichia coli Cultivation Process Modelling Using ABC-GA Hybrid Algorithm
    Authors: O Roeva, D Zoteva, V Lyubenova
    Year: 2021
    Citations: 10

  • Title: Reaction rate estimators of fed-batch process for poly-β-hydroxybutyrate (PHB) production by mixed culture
    Authors: V Lyubenova, M Ignatova, M Novak, T Patarinska
    Year: 2007
    Citations: 10

  • Title: Dynamics Monitoring of Fed-batch E. coli Fermentation
    Authors: A Zlatkova, V Lyubenova
    Year: 2017
    Citations: 8

  • Title: Encapsulation of brewing yeast in alginate/chitosan matrix: Kinetic characteristics of the fermentation process at a constant fermentation temperature
    Authors: I Petelkov, V Lyubenova, A Zlatkova, V Shopska, R Denkova, M Kaneva, …
    Year: 2016
    Citations: 8

  • Title: On-line estimation in a distributed parameter bioreactor: Application to the Gluconic Acid production
    Authors: MR García, C Vilas, E Balsa-Canto, VN Lyubenova, MN Ignatova, …
    Year: 2011
    Citations: 8

  • Title: Metaheuristic algorithms: theory and applications
    Authors: S Ribagin, V Lyubenova
    Year: 2021
    Citations: 7

  • Title: CASCADE SENSOR FOR MONITORING OF DENITRIFICATION IN ACTIVATED SLUDGE WASTEWATER TREATMENT PROCESS
    Authors: V Lyubenova, M Ignatova
    Year: 2011
    Citations: 7

Xiaoxu Liu | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Xiaoxu Liu | Engineering | Best Researcher Award

Associate Professor at Shenzhen Technology University, China

Dr. Xiaoxu Liu is an accomplished Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. He holds a Ph.D. in Electrical Engineering from the University of Northumbria and specializes in robust fault diagnosis, fault-tolerant control, stochastic systems, and multi-agent systems. Dr. Liu has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and Automatica, and has served as Associate Editor for IEEE Transactions on Industrial Informatics. He has led multiple nationally funded research projects, securing over 3 million RMB in grants. His work integrates control theory with data-driven methods, addressing challenges in cyber-physical systems. Recognized as a Shenzhen Overseas High-level Talent, he has received numerous awards for research excellence and student mentorship. With international research experience and significant editorial contributions, Dr. Liu is a prominent figure in intelligent systems and control, demonstrating both academic leadership and impactful research contributions.

Professional Profile 

Scopus Profile

Education

Dr. Xiaoxu Liu possesses a strong and progressive academic background in engineering and applied mathematics. He earned his Ph.D. in Electrical Engineering from the University of Northumbria in the UK (2014–2018), where he specialized in fault-tolerant control systems and robust estimation. Prior to this, he completed a Master’s degree in Operations Research and Cybernetics at Northeastern University (2012–2014), and a Bachelor’s degree in Information and Computing Science at the same university (2008–2012). His educational path reflects a solid foundation in both theoretical and applied aspects of control systems, cybernetics, and intelligent systems. This combination of mathematical rigor and engineering application has laid the groundwork for his interdisciplinary research approach. His international academic journey has also helped him build a global perspective and a collaborative mindset, both of which have been instrumental in his subsequent professional and research achievements.

Professional Experience

Dr. Xiaoxu Liu has built an impressive academic and research career marked by rapid progression and leadership. Since December 2021, he has served as an Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. Before that, he was an Assistant Professor at the same institution from 2018 to 2021. He also held research and teaching positions internationally, including as a Research Associate at the Faculty of Mathematics, City University of Hong Kong, and as a Lecturer at the University of Northumbria. Throughout these roles, Dr. Liu has led cutting-edge research projects, mentored students, and contributed to institutional development. He has acted as the principal investigator for numerous funded research programs, reflecting his capacity to lead independently and strategically. His experience demonstrates not only academic proficiency but also a sustained commitment to advancing intelligent systems research and fostering interdisciplinary collaboration in both teaching and applied engineering contexts.

Research Interest

Dr. Xiaoxu Liu’s research spans several high-impact areas within intelligent systems and control engineering. His primary interests include robust fault diagnosis, fault-tolerant control, stochastic nonlinear systems, and multi-agent systems. He also ocuses on cyber-physical systems and data-driven control, areas highly relevant to Industry 4.0 and autonomous system applications. Dr. Liu’s work often combines theoretical rigor with practical relevance, leveraging modern tools like deep reinforcement learning and Takagi-Sugeno fuzzy models to address real-world challenges such as actuator faults in UAVs or wind turbine resilience. His interdisciplinary approach blends classical control theory with artificial intelligence, enhancing system adaptability and reliability. His research outputs—published in top-tier journals like IEEE Transactions on Industrial Electronics—demonstrate not only novelty but also applicability to emerging technologies. Dr. Liu’s ability to connect robust theory with practical implementations positions him as a thought leader in intelligent manufacturing and autonomous system control.

ward and Honor

Dr. Xiaoxu Liu has received multiple awards that recognize his research excellence, academic leadership, and contributions to engineering education. He was honored as a Shenzhen Overseas High-level Talent in 2019, highlighting his strategic value to China’s academic and technological development. He has earned several Best Paper and Best Presentation Awards from prestigious conferences and journals, such as the IEEE Industrial Electronics Society and Processes. Dr. Liu also received the IEEE IES Student Paper Travel Award and various recognitions for his mentorship of student teams who achieved national-level prizes in robotics and circuit design competitions. These accolades underscore both the quality and impact of his scholarly work and his dedication to student development. His involvement as an Associate Editor for IEEE Transactions on Industrial Informatics and reviewer for top IEEE journals further validates his status as a trusted expert in his field. These honors collectively reflect his rising prominence in the global research community.

Conclusion

In summary, Dr. Xiaoxu Liu stands out as a highly capable and accomplished researcher in the field of intelligent control systems. With a solid educational foundation, diverse professional experience across top institutions, and a research portfolio that blends theoretical innovation with real-world application, he exemplifies academic excellence. His focus on robust fault diagnosis, resilient control systems, and data-driven approaches addresses some of the most pressing challenges in cyber-physical systems and smart manufacturing. Recognized nationally and internationally through numerous awards, editorial roles, and funded projects, Dr. Liu has established himself as a leader in his domain. He continues to advance the field through impactful publications, student mentorship, and collaborative projects. His trajectory reflects not only technical expertise but also a broader commitment to scientific progress and educational excellence. As such, Dr. Liu is highly deserving of recognition through accolades such as the Best Researcher Award.

Publications Top Notes

  • Title: Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables

    • Authors: Xiaoxu Liu, Risheng Li, Zhiwei Gao, Bowen Li, Tan Zhang

    • Year: 2025

  • Title: Multiagent Formation Control and Dynamic Obstacle Avoidance Based on Deep Reinforcement Learning

    • Authors: Zike Yuan, Chenhao Yao, Xiaoxu Liu, Zhiwei Gao, Wenwei Zhang

    • Year: 2025

  • Title: Fault Estimation for Cyber–Physical Systems with Intermittent Measurement Transmissions via a Hybrid Observer Approach

    • Authors: Jingjing Yan, Chao Deng, Weiwei Che, Xiaoxu Liu

    • Year: 2024

    • Citations: 5

  • Title: Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault

    • Authors: Xiaoxu Liu, Zike Yuan, Zhiwei Gao, Wenwei Zhang

    • Year: 2024

    • Citations: 12

Shekhar Suman | Engineering | Young Scientist Award

Published on | Editorial Board by World Top Scientists

Dr. Shekhar Suman | Engineering | Young Scientist Award

Research Scientist at Borah University of Texas at Tyler, United States

Dr. Shekhar Suman Borah is a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. He holds a Ph.D. in Electronics & Communication Engineering from IIIT Guwahati, with a strong academic foundation in Analog VLSI Design, Memristors, and Signal Processing. His prolific research output includes over 25 publications in reputed journals and conferences, four book chapters, and editorial and peer-review contributions to leading journals. Dr. Borah has also secured research funding for AI-based hardware-software systems and contributed to projects at Bhabha Atomic Research Centre. His work spans advanced circuit design, environmental sensing, and precision agriculture using UAVs. He has delivered invited talks and participated in international conferences across India, the USA, and Japan. A committed IEEE member, Dr. Borah combines technical excellence with interdisciplinary collaboration, positioning him as a promising candidate for awards recognizing young scientific talent.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Shekhar Suman Borah has a strong academic foundation in electronics and communication engineering. He earned his Ph.D. from the Indian Institute of Information Technology (IIIT) Guwahati in 2022, where he specialized in analog signal processing and current-mode circuit design. Prior to this, he completed his M.Tech with First Class from KIIT University, Bhubaneswar, and his B.E. from Visvesvaraya Technological University, Karnataka, also with First Class honors. His academic journey reflects a consistent focus on electronics, signal processing, and circuit design, particularly in analog VLSI systems. During his doctoral studies, he developed expertise in the use of memristors, current-mode building blocks, and oscillator/filter design, forming the basis for much of his later research. His educational trajectory demonstrates both depth and specialization, equipping him with the technical proficiency and theoretical grounding necessary for advanced research and innovation in modern electronics and intelligent systems.

Professional Experience

Dr. Borah currently serves as a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. Previously, he was a Research Associate at the Bhabha Atomic Research Centre (BARC), Mumbai, contributing to projects in the Radiation Safety Systems Division. He has over five years of academic teaching assistance experience in labs related to analog VLSI, communication systems, and integrated circuits. His role in grant-funded projects—particularly an AI-based tutoring tool for hardware-software co-design—underscores his engagement in interdisciplinary research. He has collaborated with several international researchers and contributed to publications across areas such as memristive circuits, environmental sensing, UAV applications, and edge computing. His growing leadership in research, combined with a solid background in academic and national research institutions, marks him as a well-rounded scientist with both applied and theoretical expertise across diverse sectors in electronics and intelligent system design.

Research Interest

Dr. Borah’s research interests lie at the intersection of analog VLSI design, current-mode circuits, memristors, signal processing, and computer vision. He is particularly focused on designing energy-efficient, electronically tunable circuits using novel components like current differencing buffered amplifiers (CDBAs) and memristors. His recent work explores the integration of these devices into edge-computing architectures, environmental sensing systems, and wearable electronics. He is also involved in precision agriculture using AI and UAVs for tasks like weed detection and disease assessment, showcasing his multidisciplinary reach. Dr. Borah has a strong inclination toward practical applications of circuit theory, demonstrated by his contributions to automation, energy-efficient design, and AI-driven solutions. His ability to translate theoretical models into real-world engineering solutions makes his work impactful, especially in the context of smart devices and intelligent sensing systems. This diverse and innovative portfolio reflects both his technical depth and adaptability to emerging technological trends.

Award and Honor

Dr. Shekhar Suman Borah has received several awards that highlight his academic excellence and research impact. In 2020, he won the Best Paper Award at the Springer International Conference on Communication, Circuits, and Systems (iC3S) for his innovative work on grounded negative inductance simulation. Earlier in his academic career, he was awarded the SDR Scholarship in 2010 for academic excellence and the prestigious Anandoram Barooah Award by the Government of Assam in 2009 for securing First Class with Distinction in his 10th grade. These accolades reflect both early promise and sustained contributions to his field. His participation as a peer reviewer for reputed journals and conferences like IEEE and MDPI further underscores his professional standing. Additionally, his invited talks at prominent institutions and media appearances demonstrate recognition beyond academia. Collectively, these honors validate Dr. Borah’s trajectory as a high-performing researcher with significant potential for further contributions.

Conclusion

Dr. Shekhar Suman Borah stands out as a highly qualified young researcher with a well-rounded portfolio in education, research, and professional engagement. His academic background is strong and focused, his research contributions are diverse and impactful, and his professional roles demonstrate both leadership and collaboration. He has made meaningful strides in analog circuit design, memristive technologies, and intelligent sensing systems, with applications in agriculture, environmental monitoring, and wearable technology. His ability to secure research funding, contribute to peer-reviewed literature, and deliver invited talks reflects his growing recognition in the field. Dr. Borah’s consistent track record of innovation, coupled with his dedication to both academic excellence and real-world problem-solving, makes him a strong contender for recognition such as the Young Scientist Award. His work promises continued contributions to cutting-edge technologies in electronics and intelligent systems, positioning him as a rising figure in the global scientific community.

Publications Top Notes

  • Title: MOSFET-Based Memristor for High-Frequency Signal Processing
    Authors: M. Ghosh, A. Singh, S.S. Borah, J. Vista, A. Ranjan, S. Kumar
    Year: 2022
    Citations: 46

  • Title: Electronically tunable higher-order quadrature oscillator employing CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh, A. Ranjan
    Year: 2021
    Citations: 23

  • Title: Resistorless memristor emulators: Floating and grounded using OTA and VDBA for high-frequency applications
    Authors: M. Ghosh, P. Mondal, S.S. Borah, S. Kumar
    Year: 2022
    Citations: 20

  • Title: Third order quadrature oscillator and its application using CDBA
    Authors: M. Ghosh, S.S. Borah, A. Singh, A. Ranjan
    Year: 2021
    Citations: 17

  • Title: Simple Grounded Meminductor Emulator Using Transconductance Amplifier
    Authors: A. Singh, B. S, S., G. M.
    Year: 2021
    Citations: 12

  • Title: A novel memristive neural network circuit and its application in character recognition
    Authors: X. Zhang, X. Wang, Z. Ge, Z. Li, M. Wu, S.S. Borah
    Year: 2022
    Citations: 11

  • Title: CMOS CDBA Based 6th Order Inverse Filter Realization for Low-Power Applications
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2020
    Citations: 9

  • Title: Three Novel Configurations of Second Order Inverse Band Reject Filter Using a Single Operational Transresistance Amplifier
    Authors: S. Banerjee, S.S. Borah, M. Ghosh, P. Mondal
    Year: 2019
    Citations: 8

  • Title: Emerging Technologies for Automation in Environmental Sensing
    Authors: S.S. Borah, A. Khanal, P. Sundaravadivel
    Year: 2024
    Citations: 5

  • Title: Single VDTA Based Grounded Memristor Model and Its Applications
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 5

  • Title: Current Differencing Buffered Amplifier Based Memristive Quadrature Oscillator
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2021
    Citations: 4

  • Title: Higher order multifunction filter using current differencing buffered amplifier (CDBA)
    Authors: S.S. Borah, M. Ghosh, A. Ranjan
    Year: 2022
    Citations: 3

  • Title: A Novel Low-Power Electronically Tunable Higher-Order Quadrature Oscillator using CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2021
    Citations: 3

  • Title: CDBA Based Quadrature Sinusoidal Oscillator with Non-interactive Control
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 3

  • Title: Design of Thinned Linear Antenna Array using Particle Swarm Optimization (PSO) Algorithm
    Authors: S.S. Borah, A. Deb, J.S. Roy
    Year: 2019
    Citations: 3