S M Atikur Rahman | Industrial Engineering | Best Researcher Award

S M Atikur Rahman | Industrial Engineering | Best Researcher Award

Mr S M Atikur Rahman University of Texas at El Paso, United States 

 

Education:

He holds a B.Sc. degree in Industrial and Production Engineering, earned from Khulna University of Engineering and Technology (KUET), Bangladesh, from 2009 to 2014. Throughout his undergraduate studies, he maintained an impressive CGPA of 3.57 out of 4.00, reflecting his dedication and academic excellence. Prior to his university education, he completed his Higher Secondary Certificate (HSC) from New Govt. Degree College, Rajshahi, Bangladesh, achieving a remarkable GPA of 5.00 out of 5.00, showcasing his consistent academic performance. His educational journey began at Bandaikhara High School, Rajshahi, Bangladesh, where he completed his Secondary School Certificate (SSC) from 2005 to 2007, once again achieving a perfect GPA of 5.00 out of 5.00. With a strong academic foundation and a proven track record of success, he is well-equipped to excel in his chosen field of Industrial and Production Engineering.

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Experience:

He has been serving as a Plant Operation Engineer at Bangladesh Edible Oil Limited since September 2018, contributing to the efficient operation of the plant. His responsibilities include procuring and developing spare parts, identifying machinery suppliers, and aligning product development with market demand. He is tasked with preparing and implementing production plans to achieve target outputs while adhering to yearly budget constraints and ensuring optimal resource utilization. Through careful work analysis considering human ergonomics, he enhances operational efficiency and capacity implementation. Additionally, he plays a key role in implementing and maintaining methodologies such as KAIZEN, 5’s, Lean, and six sigma within the plant, ensuring continuous improvement and sustainability. Notably, he has overseen the sourcing, installation, and commissioning of a 400 BPM filler line with compressor, dryer, and injection molding machine. Furthermore, he handles mechanical maintenance for various machinery, including injection molding, blowing, filler line machines, and conveyor lines for packaging and cooling towers. Through his expertise and leadership, he contributes to the smooth functioning and continuous improvement of plant operations.

Publications:

  1. The Significance of Machine Learning in Clinical Disease Diagnosis: A Review Cited By : 16, Published By : 2023
  2. Analyzing bitcoin’s decentralization: Coefficient of variation approach and 21 million divisibility Cited By : 16, Published By : 2023
  3. Progression and Challenges of IoT in Healthcare: A Short Review Cited By : 15, Published By : 2023
  4. Evaluating the effectiveness of a portable wind generator that produces electricity using wind flow from moving vehicles Cited By : 13, Published By : 2023
  5. SUPPLIER SELECTION USING FUZZY-TOPSIS METHOD: A CASE STUDY IN A CEMENT INDUSTRY Cited By : 13, Published By : 2015
  6. A comparative analysis of big data processing paradigms: Mapreduce vs. apache spark Cited By : 10, Published By : 2023

 

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.

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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