Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

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Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

Dr. Sridhar Patthi , Marri Laxman Reddy Institute of Technology and Management , India

Dr. Patthi Sridhar is a seasoned academic and researcher currently serving as Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. With a Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, his expertise spans across various disciplines including image detection, deep learning for image processing, self-supervised learning, and anomaly detection. He has a rich educational background, holding a Master of Technology in both Computer Science and Engineering from GIET University, Odisha, and in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh. Dr. Sridhar has held progressive academic roles, previously serving as Professor and Dean at Institute of Aeronautical Engineering, Hyderabad. His research focuses on fault detection and diagnosis in electrical systems, power quality, and algorithms for research-oriented projects, reflecting his commitment to advancing technology and education.

Professional Profile:

Orcid

šŸŽ“Education:

Dr. Patthi Sridhar is a distinguished academic and researcher currently holding the position of Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. He completed his Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad. His educational journey includes a Master of Technology in Computer Science and Engineering from GIET University, Odisha, and another Master of Technology in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh.

šŸ¢Work Experience:

Dr. Sridhar’s professional career spans various significant roles in academia. Prior to his current position, he served as Professor and Dean at the Institute of Aeronautical Engineering, Hyderabad, where he also held the position of Head of the Electrical and Electronics Engineering department. Before that, he worked as an Associate Professor and Officer in Charge of Examinations at the same institute.

Publication Top Notes:

  • Adaptive neuro-fuzzy inference system based evolving fault locator for double circuit transmission lines
    • Source: IAES International Journal of Artificial Intelligence
    • Year: 2020
  • Design of power analyzer using LabVIEW
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Step-up resonant converter for induction motor drive applications
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Determination of stray losses using myDAQ
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018
  • Interfacing myRIO to control various sensors in electrical applications
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018

 

 

Mr. Valdemar Leiras | Machine Learning Awards | Academic Excellence in Network Protocol Studies Award-2719

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Mr. Valdemar Leiras | Machine Learning Awards | Academic Excellence in Network Protocol Studies Award

Mr Valdemar Leiras, University of Minho, Portugal

Valdemar Leiras is a highly skilled mechatronic engineer from Portugal. With a diverse background in various fields such as automation, industrial programming, and electrical engineering, he has made significant contributions in both academic and professional settings.

Valdemar’s journey began with a Bachelor’s degree in Renewable Energy Systems Engineering from Instituto PolitĆ©cnico de Viana do Castelo, where he gained expertise in areas such as automation systems, electric power control, and energy efficiency. He further pursued his education with a Master’s degree in Mechatronics Engineering and eventually completed his Ph.D. in Advanced Engineering Systems for Industry from the University of Minho.

Professional Profile:

GOOGLE SCHOLAR

šŸŽ“ Educational Odyssey

Valdemar embarked on his academic expedition at the Instituto PolitĆ©cnico de Viana do Castelo, where he pursued a Bachelor’s Degree in Renewable Energy Systems Engineering from 2010 to 2015. His thirst for knowledge led him further to the Universidade do Minho, where he earned a Master’s Degree in Mechatronics Engineering (2015-2017) and subsequently delved into the realms of advanced engineering, culminating in a Ph.D. in Advanced Engineering Systems for Industry.

šŸ”§ Professional Prowess

His professional journey is a tapestry of diverse experiences. From serving as a Technician at AntĆ³nio da Costa Carvalho & Ca., Lda, to contributing as a Researcher at Universidade do Minho, Valdemar has left an indelible mark in various sectors. His role as a Guest Lecturer at Instituto PolitĆ©cnico do CĆ”vado e do Ave underscores his dedication to knowledge dissemination and nurturing the next generation of engineers.

šŸ’¼ Freelance Virtuoso

As a Mechatronic Engineer Freelancer, Valdemar’s expertise shines through in his adeptness at designing industrial systems, industrial programming, and crafting intricate electrical diagrams and circuits. His prowess extends to drawing up industrial automation projects, showcasing a blend of creativity and technical acumen.

šŸŒ± Continuous Growth

Valdemar’s thirst for growth is unquenchable. He has honed his skills in digital marketing through courses like “Digital Marketing” by Google, showcasing his adaptability to evolving technological landscapes.

šŸš€ Innovator and Leader

Beyond his professional endeavors, Valdemar has been a guiding light in various community initiatives, serving as a mentor at CoderDojo Esposende and holding leadership roles in citizens’ associations, reflecting his commitment to societal progress and community engagement.

Valdemar Leiras stands as a beacon of inspiration in the realm of mechatronics, blending technical prowess with a passion for innovation and community empowerment. His journey epitomizes the spirit of relentless pursuit of excellence and unwavering dedication to engineering marvels.

Publication Top Notes:

1. Work cell for assembling small components in PCB
2. Iso23247 digital twin approach for industrial grade radio frequency testing station
3. Design, Development and Construction of a New Medical Wrist Rehabilitation Device: A Project Review
4. Machine Learning based calibration SDR in Digital Twin application
5. Metrological Evaluation of Software-Defined Radios (Adalm-Pluto and LimeSDR usb) in Radio Frequency Signal Generation

 

 

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

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Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan, National Subsea Centre, United Kingdom

šŸ‘Øā€šŸ”¬ Dr. Ali Rohan is a versatile researcher and educator in the fields of robotics, artificial intelligence (AI), and computer vision. With a strong academic background including a MSc ā€“ PhD in Electrical, Electronics & Control Engineering from Kunsan National University, South Korea, he has delved into various facets of cutting-edge technology. As a Lead Researcher at institutions like the National Subsea Centre in the UK and Dongguk University in South Korea, he spearheaded groundbreaking projects like SeaSense, focusing on underwater visual systems, and DAIRYVISION, revolutionizing livestock farming with AI and machine vision. His expertise spans from real-time implementation of AI for UAVs to structural damage monitoring using AI with UAVs. Dr. Rohan’s contributions extend beyond research, as he has also shared his knowledge as an educator, teaching courses on robotics, data science, and control systems engineering. With a passion for innovation and a dedication to advancing technology, Dr. Rohan continues to make significant strides in shaping the future of AI and robotics. šŸ¤–āœØ

šŸŒ Professional Profile:

Scopus

Linkedin

Orcid

Google Scholar

šŸŽ“ Education

Ph.D. in Electrical, Electronics & Control Engineering
Department of Control & Robotics Engineering, Kunsan National University, Kunsan, South Korea
(Feb 2016 – Mar 2020)

B.Sc (Hons) in Electrical Engineering
School of Electrical Engineering, The University of Faisalabad, Pakistan
(Oct 2008 – Jul 2012)

šŸ–„ļø Technical Competence

  • Areas of Specialization: AI, Machine Learning, Deep Learning, Computer Vision, Robotics, Automation
  • Programming Languages: C, C++, C#, Matlab, Python
  • AI & Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
  • Operating Systems: Windows, Linux, macOS, Robot Operating System (ROS)

šŸ” Research Interests :

šŸ¤– Dr. Ali Rohan, an accomplished researcher, specializes in Robotics, Artificial Intelligence (AI), Computer Vision, Automation and Control, Image Processing, Signal Processing, and Machine Learning. His expertise lies in leveraging these domains to innovate solutions for various real-world challenges, from enhancing industrial automation to advancing medical diagnostics. With a keen interest in interdisciplinary research, Ali consistently explores the intersection of these fields to develop cutting-edge technologies with profound societal impacts. šŸš€

šŸ”¬ Research Experience & Projects

Dr. Rohan has led and contributed to various research projects in areas such as underwater robotics, agricultural monitoring using drones, AI for healthcare, and structural damage detection using UAVs. His work includes projects funded by prestigious bodies like the Net Zero Technology Centre, InnovateUK, and the Australian Research Council.

šŸ‘Øā€šŸ« Teaching Experience

Dr. Rohan has taught a range of modules covering topics such as fundamentals of prognostics and health management, robotics, control systems engineering, data science, and power electronics. His teaching expertise spans both theoretical principles and practical applications in engineering and technology.

šŸ… Certifications & Awards

Dr. Rohan holds certifications in areas such as Prognostics and Health Management and has received recognition for his contributions to research and academia.

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 19 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 437 citations for his publications, reflecting the widespread impact and recognition of Dr. Ali Rohanā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 644 šŸ“–
    • h-index: 14Ā  šŸ“Š
    • i10-index: 15 šŸ”
  • Since 2018:
    • Citations: 629 šŸ“–
    • h-index: 14 šŸ“Š
    • i10-index: 14 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publication Top Notes: