Alaa Sheta | Artificial Intelligence | Best Researcher Award

Alaa Sheta | Artificial Intelligence | Best Researcher Award

Prof Dr Alaa Sheta Southern Connecticut State University, United States

He earned his Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, completing his studies from August 1994 to August 1997. His dissertation, titled “Identification and Control of Dynamical Systems Using Genetic Algorithms,” reflects his expertise in artificial intelligence, machine learning, and computational intelligence. During his academic journey, he worked under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. With a diverse range of research interests, his contributions span across data science, digital image processing, data mining, software engineering, software reliability modeling, software cost estimation, identification and control, autonomous systems, robotics, information systems, computer vision, and computer architecture. His comprehensive knowledge and research in these domains showcase his dedication to advancing technology and understanding complex systems.

Education:

He holds a Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, where he conducted groundbreaking research on “Identification and Control of Dynamical Systems Using Genetic Algorithms” from August 1994 to August 1997, under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. Prior to his doctoral studies, he earned an M.Sc. from the Electronics and Communication Engineering Department at Cairo University, Cairo, Egypt, specializing in “Robust Controller Design of Large Scale Uncertain Dynamical Systems” from August 1989 to August 1994, under the guidance of Prof. Mohamed F. Hassan. His academic journey began with a B.E. from the same department at Cairo University, covering the period from August 1983 to July 1988. His educational background reflects a deep commitment to advancing knowledge in the fields of information technology, engineering, and control systems.

🌐 Profile Links:

Experience:

He currently holds the position of Tenured Professor in the Computer Science Department within the College of Arts and Sciences at Southern Connecticut State University since the fall of 2022. Prior to this, he served as an Associate Professor in the same department from the fall of 2019 to the fall of 2021. His academic journey includes roles as an Assistant Professor and later as a Professional Assistant Professor in the Department of Computing Science at Texas A&M University-Corpus Christi, where he contributed from 2017 to the summer of 2019 and from 2016 to 2017, respectively. Before joining Texas A&M, he served as a Professor and Department Chair in the Computers and Systems Department at the Electronics Research Institute (ERI) under the Ministry of Scientific Research in Cairo, Egypt, from 2015 to 2016. His extensive experience and leadership roles underscore his commitment to advancing computer science education and research.

Honors and Awards:

He is a distinguished professional with a wealth of accomplishments in the field of technology and research. Holding the title of IEEE Senior Member since Fall 2021, he has made significant contributions to the realm of sleep apnea diagnosis, garnering attention for his innovative work. The Southern News featured his pioneering approach in an article titled “Sleep Apnea Diagnosis Simplified” on November 5, 2021, highlighting the impact of his research. His expertise extends to machine learning and AI-based applications for efficient sleep apnea diagnosis, as showcased in a YouTube interview on October 25, 2021, and an insightful session at the Future Technology Conference on November 26, 2019. Notably, he received the Best Paper Award at the 2nd International Conference Europe Middle East & North Africa Information Systems and Technologies (EMENA-ISTL2018) in Fez, Morocco, in October 2018. His accolades also include the Best Citation Prize from Taif University in 2013 and the Best Poster Award at the SGAI International Conference on Artificial Intelligence in Cambridge, UK, in December 2011. With a rich history as a visiting scientist at esteemed institutions such as Tennessee Technological University (TTU) and DeMontfort University, he continues to make groundbreaking contributions to the intersection of technology and healthcare.

Publications:

  1. A mobile robot path planning using genetic algorithm in static environment Cited By : 317, Published By : 2008
  2. Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects Cited By : 205, Published By : 2006
  3. A comparison between regression, artificial neural networks and support vector machines for predicting stock market index Cited By : 180, Published By : 2015
  4. Time-series forecasting using GA-tuned radial basis functions Cited By : 143, Published By : 2001
  5. A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm Cited By : 137, Published By : 2021
  6. Image enhancement using particle swarm optimization Cited By : 107, Published By : 2007
  7. Prediction of software reliability: A comparison between regression and neural network non-parametric models Cited By : 104, Published By : 2001
  8. Business Intelligence and Performance Management – Theory, Systems and Industrial Applications Cited By : 90, Published By : 2013
  9. Development of software effort and schedule estimation models using soft computing techniques Cited By : 81, Published By : 2008
  10. Energy optimization in wireless sensor networks using a hybrid k-means PSO clustering algorithm Cited By : 80, Published By : 2016

 

 

Felshiya Rajakumari R | Artificial Intelligence, Cyber security, EV, HEV

Felshiya Rajakumari R – Leading Researcher in Artificial Intelligence, Cyber security, EV, HEV

Mrs Felshiya Rajakumari R , a distinguished academic and researcher in the field of renewable energy, Academician/Research Karpagam Institute of Technology, India. His academic journey has been marked by a profound dedication to Autonomous Vehicles into Social Media and Digital Marketing applications.

 🎓Education:

Since January 2020, she has been dedicatedly pursuing a Ph.D. on a part-time basis in Power Electronics and Drives at Karpagam Academy of Higher Education, Coimbatore. Currently awaiting Viva-Voce, she has maintained a commendable academic record with an achievement of 76%. Prior to her doctoral studies, she successfully completed a 2-year full-time Master’s of Engineering in Power Electronics & Drives, earning First Class with an impressive score of 80.8% from Sri Sivasubramaniya Nadar College of Engineering, Chennai, in 2018. Her academic journey began with a 4-year full-time Bachelor’s of Engineering in Electrical & Electronics Engineering, where she graduated with First Class Distinction, securing 85% from National Engineering College, Kovilpatti, in 2016. Furthermore, she excelled in her 12th-grade schooling at Holy Cross Girls Higher Secondary School, Tuticorin-3, achieving a remarkable score of 87.3% in 2012. Her academic prowess was evident even in her 10th-grade schooling at X’an Matriculation School, Tuticorin-3, where she secured an outstanding score of 94.5% in 2010.

💻 Projects handled:

Guided final year project (2018-2019) based on Agricultural Technology
Project Title : Autonomous Farm and Seeding Robot for Agricultural Purpose
The main aim of this project is to help the farmers by providing real time date about their cultivation land with the
advancement of science and recent technologies for the attention of scientist is getting towards two fields – Farming
and Robotics Systems.
Guided final year project (2019-2020) based on Agricultural Robotic Technology Using Arduino for Cultivation Purpose.
 Project Title : Arduino Based Autonomous Farming Seeding Robot for Agricultural Purpose
To help farmers by providing real time date about their cultivation land, the scientist is attracted towards agricultural
field and the work is based on Robotic system. The field farming and robotics systems are merge together and it is
efficiently worked together to overcome the issues. This issue is solved by the robotics and it is worked very well forthe agriculture process and the robotics technology is played a good vital role in engineering, medical field, military,
etc. The main topology of this work deals with the robot for the farming seeds to reduce the man power intervention.
In this work moisture sensor indicates the soil water content in the agricultural field. Ultrasonic sensor is used for
distance calculating the obstacles to indicate the robot to turn the direction for seeding the cultivation land. Program
is simulated using Arduino Software.

🖨️ Projects Applied for Funding Agency:

2019-2020:
 Applied the project “Arduino Based Autonomous Farming Seeding Robot for Agricultural Purpose” in the Tamil Nadu
State Council for Engineering Science and technology.
2020-2021:
 Applied the project “Advancement of Fault Credentials in Submerged Power Cable Using Sensor Detector” in the
Tamil Nadu State Council for Engineering Science and technology.
2022-2023:
 Applied the project “Farming Seeding Agro-Robots for Agricultural Purpose” in the IFERP-Innovative Project Seed
Funding Scheme and received the certificate.

🔍Membership/ Reviewer:

  • International Association of Electrical, Electronic and Energy Engineering
  • Institute of Research Engineers and Doctors
  • International Association of Engineers
  • Institute for Engineering Research and Publication
  • Institute of Green Engineers, IGEN GREEN9ENSAVCLUB.
  • International Journal of Engineering Research & Technology

📚Research Publications:

  • Publish a paper titled “Subversive ZETA DC-DC Converter Supports Photovoltaic Production Design with Utmost
    Tracking POWER using Dual-Anfis”, in the Sustainable Energy Technologies and Assessments, Vol 53, October 2022.
  • Publish a paper titled “Design Considerations and Performance Analysis based on Ripple Factors and Switching Loss
    for Converter Techniques” in Materials Today Proceedings: Vol 37, 2021.
  • Publish a paper titled “Speculative Evaluation and Relative Analysis of Divergence Techniques of DC-DC Converter” in
    2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), ISBN:978-1-6654-
    4634-1, 3 June 2021.
  • Publish a paper titled “Design and Implementation of Non-Inverting Buck Converter based on Performance Analysis
    Scheme”, in Machine Learning and the Internet of Things in Solar Power Generation, Taylor and Francis Group,
    published in 2023.
  • Publish a paper titled “Investigation and Analysis of DC-DC Converter with PV System and Maximum Power Point
    Tracking”, in the 14th Annual Research Congress 2021 held at Karpagam Academy of Higher Education, Coimbatore,
    10th December 2022.
  • Publish a paper titled “Investigation and Analysis of DC-DC Converter with PV System and Maximum Power Point
    Tracking”, in the 13th Annual Research Congress 2021 held at Karpagam Academy of Higher Education, Coimbatore,
    18th December 2021.
  • Publish a paper titled “Non-Isolated DC-DC Converter-An Overview of Operation Methods and Various Topologies
    Schemes” in AICTE Sponsored International Virtual Conference on Antenna Innovations, 5G Communications and
    Network Technologies during 6th and 7th November 2020 conducted by Velammal Institute of Technology.

🤝Achievements:

  • Received “Certificate of Appreciation” in Research Day program for Journal Publications and Book Chapters conducted
    in “Karpagam Institute of Technology” on 2023.
  • Received a young faculty member award from Nobel Research Academy on 2022.
  • Received “Certificate of Appreciation” in recognition as mentor role for NPTEL Online Certification Course “Developing
    Soft Skills and Personality”.
  • Received Elite Certificate for attended a NPTEL Exam, “Introduction to Internet of Things”, on 2022.
  • Won Gold Medal Award in SSN College of Engineering for “First Rank” in the Second Semester Anna University
    Examinations.
  • Received IIC Certificate for completed the “Advanced Level Training Course “conducted in online mode by MoE’s
    Innovation & AICTE.
  • Attended a NPTEL Exam, “Internet of Things”, completed the exam successfully with “ELITE CERTIFICATE”
  • Got “Certificate of Appreciation” in Annual Day 201 8 Program in “Karpagam Institute of Technology” for published a
    Journal Paper “Investigation on DC-DC Converter Topologies for PV Applications”.
  • Got cash prize award in Karpagam Institute of Technology for completed the “NPTEL-Internet of Things Exam” with
    “ELITE”.
  • Attended IIT Spoken Tutorial Exam on “Moodle Learning Management System” and got the certificate.
  • Won “Favorite Teacher Award” for the Department of Electrical and Electronics Engineering” during Teachers Day
    Celebration, 2019.