Dr. Ramin Zohrabi | Photovoltaic Awards | Best Researcher Award

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Dr. Ramin Zohrabi | Photovoltaic Awards | Best Researcher Award 

Dr. Ramin Zohrabi, University of Tabriz, Iran

Dr. Ramin Zohrabi is an Iranian physicist specializing in Optics and Laser Physics. He holds a Ph.D. in Optics and Laser Physics from the University of Tabriz, where he conducted research on enhancing the efficiency of Luminescent Solar Concentrators (LSCs). His thesis was supervised by Prof. Abdolrahman Namdar and Sohrab Ahmadi-Kandjani, achieving a perfect GPA of 4.0/4.0. Dr. Zohrabi also earned his M.Sc. in the same field from the University of Tabriz, with a thesis on the transmission properties of one-dimensional photonic crystals, and his B.Sc. in Atomic Physics from Urmia University, Iran. He has experience as a teaching assistant at the University of Tabriz, where he assisted in physics and MATLAB simulation labs. Fluent in Persian, Turkish, and English, Dr. Zohrabi has contributed to the academic community through his teaching and research in the field of optics and laser physics.

Professional Profile:

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Summary of Suitability for Best Researcher Award – Ramin Zohrabi

Ramin Zohrabi is an excellent candidate for the Best Researcher Award based on his advanced academic background, cutting-edge research in Optics and Laser Physics, and his contributions to enhancing the efficiency of Luminescent Solar Concentrators (LSCs). His work in photonics has significant implications for renewable energy applications, particularly in improving the efficiency of solar energy harvesting technologies.

Education:

  1. Ph.D. in Optics and Laser Physics
    • Institution: University of Tabriz, Tabriz, Iran
    • Duration: 2017–2023
    • Thesis: “The study of the efficiency enhancement of Luminescent Solar Concentrators (LSCs)”
    • GPA: 4/4
    • Supervisors: Prof. Abdolrahman Namdar & Sohrab Ahmadi-Kandjani
  2. M.Sc. in Optics and Laser Physics
    • Institution: University of Tabriz, Tabriz, Iran
    • Duration: 2012–2015
    • Thesis: “Investigation of the transmission properties of a one-dimensional Photonic crystal with graded thickness layers”
    • GPA: 3.37/4
    • Supervisors: Prof. Samad Roshan Entezar & Prof. Abdolrahman Namdar
  3. B.Sc. in Atomic Physics
    • Institution: Urmia University, Urmia, Iran
    • Duration: 2004–2006
    • Thesis: “Study of Laser beam amplification, frequency change, and wavefront correction”
    • GPA: 2.4/4
    • Supervisor: Prof. Arash Sabatyan

Work Experience:

  1. Teaching Assistant
    • Course: Laboratory of Basic Physics (Mechanics, Heat, and Electromagnetism)
    • Institution: University of Tabriz, Faculty of Physics, Tabriz, Iran
    • Duration: 2020–2021 (1 semester)
  2. Teaching Assistant
    • Course: MATLAB Software Simulation
    • Institution: University of Tabriz, Faculty of Physics, Tabriz, Iran
    • Duration: 2015–2016 (1 semester)
CITED:6
CITED:3

Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award

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Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award 

Prof. Niranjan Nayak, Siksha ‘O’ Anusandhan, Bhubaneswar, INDIA

Prof. (Dr.) Niranjan Nayak is a distinguished academic and researcher with extensive expertise in Electrical and Electronics Engineering. He earned his B.Tech in Engineering from the Institution of Engineers, Kolkata, in 1992, followed by a Master’s degree from University College of Engineering (now Vir Surendra Sai University of Technology) in 2003, and a Ph.D. from Siksha ‘O’ Anusandhan University in 2015. Currently, Dr. Nayak serves as a Professor at Siksha ‘O’ Anusandhan University, India, where his research interests include energy management, energy storage and conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning. With over 100 publications in renowned journals and international conferences, Dr. Nayak has made significant contributions to his field. He has also edited three major conference proceedings and chaired international conferences, including AECSS-2019 and APSIT-2021 and 2023. As a dedicated member of IEEE, IE, IET, and ISTE, he actively reviews for various international journals under prestigious publishers such as IEEE and Elsevier. Dr. Nayak’s work continues to advance innovation in electrical and electronics engineering.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Prof. (Dr.) Niranjan Nayak is a highly accomplished academic and researcher, making him a strong contender for the Best Researcher Award. His extensive academic journey, starting with his B.Tech from the Institution of Engineers, Kolkata, followed by a Master’s degree from University College of Engineering, and culminating in a Ph.D. from Siksha ‘O’ Anusandhan (Deemed to be University), reflects a solid foundation in Electrical and Electronics Engineering.

Education:

  • B.Tech in Engineering from the Institution of Engineers, Kolkata, India, in 1992.
  • Master’s degree from University College of Engineering (UCE), currently known as Vir Surendra Sai University of Technology (VSUT), in 2003.
  • Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, India, in 2015.

Work Experience:

  • Professor in the Department of Electrical & Electronics Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university, India.
    • Has authored and co-authored around 100 journals and international conference papers.
    • Current research interests include energy management, energy storage & conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning.
    • Edited three conference proceedings: AECSS-2019, APSIT-2021, and APSIT-2023.
    • Served as the General Chair of the 1st International Conference on Advances in Electrical Control and Signal System (AECSS-2019), and also for Advances in Electrical Power, Signal & Information Technology (APSIT-2021 and APSIT-2023).
    • Reviewer for several international journals under IEEE, Elsevier, and other publishers.
    • Member of IEEE, IE, IET, and ISTE.

Publication top Notes:

A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm

“Communicating Glove” for Specially and Differently Abled Person Using Arduino-Based IOT

Improvement of Power and Energy Disturbances in AC Micro Grid Using Discrete Wavelet Based Extended Neural Network

Forest Fire identification: Harnessing Internet of Things (IoT) and Artificial Intelligence

A state-of-art review on 2D material-boosted metal oxide nanoparticle electrodes: Supercapacitor applications

Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

SalomĂŁo Moraes da Silva Junior is a Brazilian microfluidics researcher with a focus on cutting-edge bioengineering applications. Born in Manaus, Brazil, he holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas. Currently working at BioSense Institute in Serbia, SalomĂŁo has developed innovative microfluidics platforms, ranging from single-cell encapsulation to advanced microfabrication. His work spans biosensors, agriculture, and environmental sectors, making significant strides in microfluidic device design. With expertise in microfabrication, precision control, and integration, his research has been published in top-tier journals. SalomĂŁo has contributed to the fields of biosensors, cleanroom microfabrication, and fluid dynamics, advancing the capabilities of Lab-on-a-Chip systems.

Professional Profile

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Summary of Suitability for the Best Researcher Award

SalomĂŁo Moraes da Silva Junior is highly qualified for the Best Researcher Award due to his strong academic background, extensive research experience, and innovative contributions in the field of microfluidics and biosensors. His achievements reflect both technical expertise and impactful research output, making him a strong candidate for this award.

 🎓Education 

Salomão Moraes da Silva Junior has a robust educational background that highlights his expertise in Electrical Engineering and Microfluidics. He holds a prestigious Joint Ph.D. in Engineering Sciences with “Greatest Distinction” from Vrije Universiteit Brussel, earned in 2019, and another Ph.D. in Electrical Engineering from the University of Campinas (UNICAMP) the same year. He also completed a Master’s in Electrical Engineering from UNICAMP in 2014 and a Bachelor’s degree in Electrical Engineering from the State University of Amazonas (UEA) in 2012. His foundational technical education includes a Post-Technician diploma in Electronics from CETAM (2008) and a Technician in Electronics certification from the Mathias Machline Foundation (FMM) in 2004. Salomão’s educational journey laid the groundwork for his contributions to microfluidic research and bioengineering innovations.

  💼  Experience 

Salomão Moraes da Silva Junior is an experienced microfluidics researcher, currently a post-doctoral researcher at the BioSense Institute, University of Novi Sad (2021–Present). His work includes developing microfluidics platforms for biosensors, agriculture, and environmental applications. He also manages cleanroom labs, excelling in microfabrication protocols from design to application. Prior to this, he worked as an Engineer of New Technology at AbCheck s.r.o (2019–2021), where he developed microfluidics platforms for pharmaceutical applications. Salomão also served as a Doctoral Research Assistant (2014–2019) at Vrije Universiteit Brussel and UNICAMP, focusing on droplet generators and micromixers. Earlier in his career, he worked as a Master Research Assistant at UNICAMP (2012–2014) and as an Electronic Technician at Videolar S/A, handling maintenance in automated manufacturing systems. His extensive experience spans cleanroom fabrication, microfluidics device development, and bioengineering innovations.

🏅Awards and Honors 

Salomão Moraes da Silva Junior has been recognized for his academic and research excellence throughout his career. He graduated with “Greatest Distinction” from Vrije Universiteit Brussel, earning a prestigious Joint Ph.D. in Engineering Sciences. He has also been recognized for his innovative contributions to microfluidics, particularly in the development of Lab-on-a-Chip systems and biosensors. His research publications have been featured on journal covers, such as his work in Química Nova. Salomão’s cutting-edge research has been presented at numerous international conferences, where he has earned accolades for his pioneering work in microfluidics and biosensor integration. His awards and honors underscore his contributions to the fields of electrical engineering, biosensing, and environmental monitoring, positioning him as a leader in microfabrication and fluid dynamics.

 🌍 Research Focus 

Salomão Moraes da Silva Junior’s research focuses on the development of innovative microfluidics platforms for biosensors, agriculture, and environmental applications. His expertise lies in microfabrication processes, where he designs and validates advanced microfluidic devices tailored for specific uses, including single-cell encapsulation and picoinjection. Salomão specializes in creating microfluidic systems integrated with sensors, enabling high-precision manipulation of fluids for applications in biosensing and Lab-on-a-Chip technologies. His work also involves the fabrication of passive and active micromixers, droplet generators, and fluid control systems, using cutting-edge materials and cleanroom techniques. Salomão’s research is particularly focused on developing microfluidic solutions that address challenges in environmental monitoring and bioengineering, ensuring seamless integration with other microsystems. His contributions to this interdisciplinary field have paved the way for more efficient and versatile applications of microfluidic technologies.

  📖 Publication Top Notes

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications
WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 °C ON POLISHED ALUMINA
MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES
Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor
Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

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Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C, SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, DEEMED UNIVERSITY, India

Dr. C. Karthikeyan is a distinguished Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, specializing in Artificial Intelligence and Data Science. With over 21 years of teaching experience and 2 years in industry, he has significantly contributed to the academic community. Dr. Karthikeyan holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. He is a prolific researcher, having published 61 papers in reputable journals and secured multiple patents. His commitment to education extends beyond the classroom, as he has taken on leadership roles, including Dean at ISBAT University, Uganda. Passionate about empowering students and enhancing educational quality, Dr. Karthikeyan is dedicated to advancing research and innovation in computer science.

Professional Profile

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Evaluation of Dr. C. Karthikeyan for the Research for Best Researcher Award

Summary of Suitability

Dr. C. Karthikeyan stands out as a highly qualified candidate for the Research for Best Researcher Award due to his extensive academic background and impressive research output. With a Ph.D. in Computer Science and Engineering, he has accumulated over 61 publications in reputed journals, including 15 in SCI and 20 in WoS. His contributions span various areas, particularly in Artificial Intelligence and Data Science, which align with contemporary research trends.

  🎓  Education 

Dr. C. Karthikeyan’s academic journey reflects his commitment to excellence in the field of computer science. He earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Prior to this, he completed his M.E. in Computer Science and Engineering from Vinayaka Missions Research Foundation, Salem, in 2008. His foundational education includes an M.C.A. from the University of Madras, Chennai (2002), and a double major in Physics, earning both an M.Sc. (1997) and a B.Sc. (1995) from the same institution. Dr. Karthikeyan’s diverse educational background equips him with a robust understanding of both theoretical and practical aspects of technology, allowing him to contribute effectively to teaching and research in artificial intelligence and data science.

   🏢  Experience 

Dr. C. Karthikeyan has accumulated over 21 years of teaching experience and 2 years in the industry, making him a seasoned educator and professional. Currently, he serves as a Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, since July 2024. Prior to this, he was a Professor at K.L. University, Vijayawada, from May 2018 to July 2024. His administrative capabilities were showcased during his tenure as Dean at ISBAT University in Uganda, where he led strategic planning and curriculum development. He also held the position of Associate Professor and Head of the Department at Aarupadai Veedu Institute of Technology for 16 years, where he was instrumental in elevating the department’s status and coordinating various academic activities. Additionally, he served as Academics Head at APTECH Computer Education, further enhancing his experience in educational management.

 🏅 Awards and Honors 

Dr. C. Karthikeyan has received numerous awards and recognitions throughout his illustrious career. His research excellence is highlighted by 61 publications in prominent journals, including 15 indexed in SCI and 20 in WoS, showcasing his contributions to artificial intelligence and data science. He has authored two books and contributed chapters to several academic texts, further solidifying his reputation in the field. Dr. Karthikeyan’s innovative spirit is evidenced by his four patents, one of which has been granted, reflecting his commitment to practical applications of research. He is also recognized as a life member of several prestigious professional societies, including IEEE and IACSIT. His proactive involvement in academic committees and continuous professional development exemplifies his dedication to both his field and his students, earning him respect and admiration within the academic community.

Research Focus 

Dr. C. Karthikeyan’s research focus lies primarily in the domains of Artificial Intelligence and Data Science, with a strong emphasis on innovative solutions to real-world problems. His work spans various areas, including machine learning, cognitive computing, and data mining techniques, aimed at enhancing computational efficiency and decision-making processes. He has actively contributed to advancements in automated systems, particularly in healthcare and assistive technologies for visually impaired individuals. Dr. Karthikeyan’s research also investigates the integration of Internet of Things (IoT) with AI to develop smart applications that improve user experiences. His interdisciplinary approach allows him to collaborate with experts in different fields, fostering an environment of innovation and knowledge exchange. Through his research endeavors, he aims to contribute to sustainable development, particularly in renewable energy and smart technology applications, aligning with global efforts towards a more sustainable future.

Publications Top Notes 

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
  • Citations: 154
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
  • Citations: 56
Active vibration control of a full scale aircraft wing using a reconfigurable controller
  • Citations: 41
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
  • Citations: 39
Low rate DDoS mitigation using real-time multi threshold traffic monitoring system
  • Citations: 37