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

🎓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.

🏢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 Politécnico 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

🎓 Educational Odyssey

Valdemar embarked on his academic expedition at the Instituto Politécnico 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.

🔧 Professional Prowess

His professional journey is a tapestry of diverse experiences. From serving as a Technician at António 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 Politécnico do Cávado e do Ave underscores his dedication to knowledge dissemination and nurturing the next generation of engineers.

💼 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.

🌱 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.

🚀 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

 

 

Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

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Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

Mr. Asif Mehmood, National university of technology, Pakistan

Asif Mehmood is a dedicated professional with a strong academic background and diverse expertise in computer sciences. Currently pursuing a PhD in Computer Sciences at COMSATS University Islamabad, Wah Campus, he holds a Master’s degree and a Bachelor’s degree in the same field. With a keen interest in machine learning and deep learning, Asif has contributed to notable publications in prestigious journals, focusing on human gait recognition and biometric techniques. His experience spans from research associate roles to lecturing positions at HITEC University Taxila, showcasing his commitment to academia and research. Asif’s technical proficiency includes programming languages such as MATLAB, JavaScript, and Java, along with extensive experience in project development and academic projects. He resides in Attock, Punjab, Pakistan, and is open to providing references upon request.

Professional Profile:

Scopus

🎓 Education:

Asif Mehmood has pursued a remarkable academic journey, demonstrating consistent excellence in his educational endeavors. He commenced his formal education with a Bachelor of Science in Computer Sciences (BSCS) from the University of Wah, spanning from 2013 to 2017, where he attained a commendable CGPA of 3.46 out of 4.0. Building upon this foundation, he pursued a Master of Science in Computer Sciences (MSCS) at COMSATS University Islamabad, Wah Campus, from 2018 to 2020, achieving an impressive CGPA of 3.84. Asif further advanced his academic pursuits by undertaking a PhD in Computer Sciences at the same institution, currently in progress, with an outstanding CGPA of 3.94 thus far.

💼 Experience:

Asif Mehmood has enriched his professional experience through roles at HITEC University Taxila. He commenced as a Research Associate in January 2022, where he actively contributed to research endeavors until June 2022. Building upon his expertise, Asif transitioned into the role of Lecturer in Computer Science at the same institution in September 2022, a position he currently holds. These roles have allowed Asif to apply his academic knowledge and research skills in a practical setting while also nurturing the next generation of computer science professionals through teaching and mentorship.

📝 Projects:

Asif Mehmood has demonstrated his proficiency in software development and research through various notable projects. Among these, he developed a Document Clustering Search Engine using Java and MySQL, showcasing his skills in both programming and database management. Additionally, his thesis focused on Prosperous Human Gait Recognition, employing Machine Learning techniques within MATLAB, highlighting his expertise in this advanced field. Furthermore, Asif has undertaken diverse academic projects encompassing Assembly Language programming, Android app development, and web development, reflecting his versatility and innovative approach to problem-solving in the realm of computer science.

Publication Top Notes:

  1. Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features
    • Authors: Mehmood, A.; Amin, J.; Sharif, M.; Kadry, S.
    • Journal: Pattern Recognition Letters, 2024, 180, pp. 16–25
    • Citations: 0
  2. Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection
    • Authors: Mehmood, A.; Khan, M.A.; Sharif, M.; Riaz, N.; Ashraf, I.
    • Journal: Multimedia Tools and Applications, 2024, 83(5), pp. 14979–14999
    • Citations: 24
  3. TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities
    • Authors: Khan, M.A.; Mehmood, A.; Kadry, S.; Alsubai, S.; Alqatani, A.
    • Journal: Future Generation Computer Systems, 2023, 147, pp. 292–303
    • Citations: 3
  4. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
    • Authors: Khan, M.A.; Kadry, S.; Parwekar, P.; Khan, J.A.; Naqvi, S.R.
    • Journal: Complex and Intelligent Systems, 2023, 9(3), pp. 2665–2683
    • Citations: 23
  5. Human gait recognition: A deep learning and best feature selection framework
    • Authors: Mehmood, A.; Khan, M.A.; Tariq, U.; Mostafa, R.R.; ElZeiny, A.
    • Journal: Computers, Materials and Continua, 2021, 70(1), pp. 343–360
    • Citations: 8