Early Academic Pursuits

Ms. Houda EL KHACHINE demonstrated a keen interest in energy engineering and environmental sciences from the outset of her academic journey. She earned a Specialized Master’s Degree in Energy Engineering and Environment from the Faculty of Sciences in Tétouan, Morocco (2012-2014), following a Professional Bachelor’s Degree in Energy (2010-2012) from the same institution. Prior to that, she obtained an Advanced Technician Diploma in Thermal & Energy Engineering from the Higher School of Technology, Fès (2008-2010), and a Baccalaureate in Physical Sciences from IBNE HAZM High School, Fès (2007-2008). These formative years laid the foundation for her expertise in energy optimization, thermal systems, and environmental sustainability.

Professional Endeavors

Since February 2017, Ms. EL KHACHINE has been shaping young minds as a secondary school teacher in Physics and Chemistry at Collège Attabari. Before her teaching career, she engaged in various professional experiences, including an internship as a Project Manager Intern at MANAGEM, where she worked on energy performance and optimization in the mining and hydrometallurgical industry. Additionally, she contributed to energy optimization projects at OCP (Office Chérifien des Phosphates), SONASID (National Steel Company), and Marjane Fès Saiss, gaining hands-on experience in fuel combustion, energy efficiency, and industrial thermal systems.

Contributions and Research Focus

Ms. EL KHACHINE has contributed significantly to research and practical projects in energy engineering. Her work includes improving fuel combustion efficiency, recovering energy from used oils, and optimizing heavy fuel mixtures with waste oils. She has also conducted in-depth analyses of heat exchangers, boiler efficiency improvements, and loss reduction in steam circuits. Her commitment to energy sustainability is evident in her research on renewable energy, waste management, and thermal imaging for solar panel inspection.

 Impact and Influence

As a dedicated educator and researcher, Ms. EL KHACHINE has influenced both academia and industry by fostering awareness of energy conservation and sustainable engineering practices. Her role in various renewable energy and environmental groups reflects her commitment to driving change in energy management and environmental responsibility.

 Academic Cites

Her academic projects and research findings, such as those on medical and pharmaceutical waste management, wind energy, and energy-efficient building rehabilitation, have the potential to contribute to academic literature and industry best practices. Her expertise is sought after in various academic circles, particularly in energy engineering and environmental sustainability.

 Technical Skills

Ms. EL KHACHINE possesses a strong command of industry-relevant tools and software. She is proficient in office applications (Word, Excel, PowerPoint, Access), CAD software (AutoCAD, Covadis, Catia), and simulation tools (Ansys Fluent, Comsol). Additionally, she has programming experience in VBA AutoCAD, MATLAB, and C++, which enhances her ability to develop technical models and optimize engineering processes.

Teaching Experience

As a secondary school teacher, she plays a crucial role in inspiring future generations in physics and chemistry. Her ability to integrate real-world engineering applications into her teaching methods helps students understand the practical implications of scientific concepts. Her experience in both academia and industry equips her with the skills to provide high-quality education that bridges theoretical knowledge with practical insights.

Legacy and Future Contributions

 Academic Background

• Ph.D. in Agronomy – Shiraz University (2007-2010)
• M.Sc. in Agronomy – Shiraz University (2002-2005)
• B.Sc. in Agronomy – Shiraz University (1993-1997)

 Professional Experience

• Associate Professor – Shiraz University (2017–Present)
• Dean, School of Agriculture – Shiraz University (2018-2020)
• Vice Dean for Financial & Administration Affairs – Shiraz University (2014-2018)
• Assistant Professor – Shiraz University (2011-2017)
• Senior Farm Manager – 500 ha Research & Commercial Farm (1999-2023)
• Lecturer & Field Trial Expert – Shiraz University (1999-2011)

 Awards & Achievements

• Exemplar Faculty Member – Shiraz University (2018)
• Domestication of Endemic Medicinal Plants – Zataria multiflora (2020)
• Founder – MAYSA PARS GREENTECH (2022)
• High-Yield Crop Production – 122 tons/ha silage corn & 7600 kg/ha wheat (2020-2021)

 Research & Publications

Assoc Prof Dr. Mohsen Edalat Edalat has contributed extensively to agronomy, sustainable agriculture, and weed management, publishing in top-tier journals such as European Journal of Agronomy, Weed Science, Journal of Hydrology, and Scientific Reports. His research focuses on habitat modeling, sustainable farming practices, and crop growth optimization.

 Courses Taught

• Undergraduate: General Agronomy, Sustainable Agriculture, Industrial Crop Production
• Graduate: Crop Growth Modeling, Seed Physiology, Weed Science

 Memberships & Honors

• Member of ESA, EWRS, WSSI, CPS, CPPBS
• Top Student in B.Sc., M.Sc., and Ph.D.
• Scholarship – Visiting Scholar at Melbourne University (2010).

 Early Academic Pursuits

Mr. Christian Idogho’s academic journey began with a strong foundation in engineering. He earned a Diploma in Chemical Engineering from Auchi Polytechnic in 2016, followed by a Bachelor’s degree in Mechanical Engineering from the University of Agriculture, Makurdi, in 2020. His passion for materials science and advanced fabrication techniques led him to pursue a PhD in Materials Science at the University of Vermont, Burlington, where he is currently conducting cutting-edge research in thin film deposition and material characterization.

 Professional Endeavors

Mr. Christian has been deeply involved in materials science and renewable energy research. His professional trajectory includes research positions at the University of Vermont and the University of Nigeria, Nsukka, where he contributed to material fabrication, thin-film deposition, and artificial intelligence-driven environmental forecasting. His work spans multiple domains, from physical vapor deposition and sputter deposition to thermoelectric materials and advanced microscopy techniques.

 Contributions and Research Focus

His research focuses on thin film growth, materials characterization, and deposition techniques. At the University of Vermont, he investigates the deposition of metal precursor Titanium Tetraisopropoxide (TTIP) on Strontium Titanate (STO) substrates using a layer-by-layer fabrication approach. He has also contributed to the fabrication and sputtering deposition of Indium Tin Oxide (ITO) thin films, optimizing their electrical and optical properties.

At the University of Nigeria, Nsukka, Christian applied deep neural networks to forecast environmental weather conditions and solar panel performance, utilizing 10 years of NASA data for Nigerian states. His work on digital twin simulations of solar panels has helped improve predictions of solar energy output.

 Impact and Influence

Mr. Christian’s research in thin films and renewable energy has significant industrial and scientific implications. His contributions to solar energy forecasting and advanced material fabrication pave the way for innovations in energy-efficient materials and sustainable energy technologies. His involvement in the National Centre for Energy Research and Development further highlights his commitment to driving sustainable energy solutions.

 Academic Cites

• Renewable Energy Potential Estimation Using Climatic Weather Forecasting Machine Learning Algorithms (MDPI Energies)
• Machine Learning-Inspired Weather Forecasting for Solar Photovoltaic Potential (SSRN)
• Nano-analysis of Materials
• Mathematical Modeling and Simulations Using MATLAB, COMSOL, and Python
• Challenges and Opportunities in Nigeria’s Renewable Energy Policy and Legislation

 Technical Skills

Mr. Christian has developed a diverse technical skill set, including expertise in simulation software (ANSYS, COMSOL Multiphysics), programming languages (MATLAB, Python), and CAD tools (Autodesk Inventor, SolidWorks, Revit). His ability to work with X-ray diffraction (XRD), scanning electron microscopy (SEM), and atomic force microscopy (AFM) makes him proficient in advanced materials characterization techniques.

 Teaching Experience

As a Teaching Assistant at the University of Vermont, Christian has played a key role in guiding students through elementary and advanced physics laboratories. His ability to simplify complex scientific concepts and mentor students highlights his passion for education and knowledge dissemination.

 Professional Experience

• Reviewer for the International Journal of Energy Research
• Editorial Board Member at the Journal of Energy Research
• Intern at the National Centre for Energy Research and Development, where he helped assemble a solar photovoltaic thermal heater

 Leadership and Volunteering

Mr. Christian has demonstrated leadership qualities throughout his career. As a Group Leader at the University of Agriculture, Makurdi, he coordinated a student excursion to the Geregu Gas Power Station in Kogi State and prepared a detailed technical report for the university.

 Legacy and Future Contributions

With his expertise in materials science, renewable energy, and artificial intelligence, Christian is positioned to make lasting contributions to both academia and industry. His future research aims to enhance thin-film deposition techniques, develop high-performance thermoelectric materials, and leverage AI for material optimization. His interdisciplinary work will continue to shape the future of energy-efficient technologies and advanced materials.

Early Academic Pursuits

Dr. Nimma’s academic journey began with a strong foundation in electronics and communication engineering, earning a Bachelor of Technology in Electronics and Communication Engineering from JNT University Hyderabad, India (2008–2012). Building on this, he advanced to earn a Master of Science in Computer and Information Science from Alcorn State University, USA (2015–2016), achieving an outstanding 3.81 GPA. His educational path culminated with a Ph.D. in Computational Sciences from The University of Southern Mississippi (2019–2023), where he secured a 3.71 GPA. Throughout these years, Dr. Nimma demonstrated a keen aptitude for computational sciences, particularly in the fields of image processing, computer vision, and machine learning, laying the groundwork for his significant contributions to the field.

 Professional Endeavors

Dr. Nimma’s career trajectory has been marked by impactful roles in both industry and academia. Since August 2024, he has been working as a Python Developer at SVK Systems Inc. in Duluth, GA, where he develops software applications, manages APIs, optimizes databases, and collaborates with front-end developers. Previously, in 2024, Dr. Nimma contributed as a System Analyst at the University of Mississippi Medical Center (UMMC), where he worked extensively with data analysis, system software troubleshooting, and the management of clinical tools like REDCap and Ripple. These roles reflect his versatility, demonstrating his ability to work across various sectors, from healthcare to software development, with a focus on leveraging data and technical expertise to solve real-world problems.

 Contributions and Research Focus

Dr. Nimma’s research focus has primarily been on the application of machine learning and vision transformers in the realms of computer vision and video recognition. His Ph.D. dissertation titled “IntelPVT and Opt-STViT: Advances in Vision Transformers for Object Detection, Classification, and Video Recognition” (2023) introduced two innovative approaches that have significantly advanced the field of visual data analysis. By enhancing object detection and classification through a flexible patching mechanism for Vision Transformers (ViTs) and reducing computational costs in video recognition via the Opt-STViT model, Dr. Nimma’s work has contributed to pushing the boundaries of efficiency and accuracy in machine learning models. This dissertation was advised by Dr. Zhaoxian Zhou and forms a key part of his growing academic and professional legacy.

 Impact and Influence

Dr. Nimma’s contributions have not gone unnoticed, particularly in the fields of image processing, computer vision, and machine learning. His work has not only advanced theoretical knowledge but has also found practical applications in areas such as video recognition and cybersecurity. His research has demonstrated a commitment to improving algorithm efficiency, performance optimization, and data analysis, providing valuable insights into how these technologies can be used in a more resource-efficient manner. His achievements have earned him several accolades, including the Best Paper Award at the International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT) in 2024 for his paper on “Enhancing Customer Churn Prediction in Telecommunication with CNN-Gradient Boosting Machine.”

Academic Citations

Dr. Nimma’s work has garnered attention in various academic and professional circles, underscoring his growing influence. His book, “Advancements in Artificial Intelligence in Computer Vision Applications” (2024), co-authored with R. Nimma and A. Uddagiri, delves into AI applications in computer vision and stands as a testament to his thought leadership in the field. His research publications and conference presentations further highlight his contributions to evolving technologies and methodologies, enriching the academic community’s understanding of these complex areas.

 Teaching Experience

Although Dr. Nimma has not formally served as a faculty member, his experience extends to tutoring and mentoring students in various technical domains. His ability to convey complex concepts in machine learning and computational sciences makes him an invaluable resource to students and peers alike. His role as an Editorial Board Member and Reviewer for multiple international journals further highlights his commitment to the academic community and the dissemination of knowledge in the fields of engineering and technology.

Technical Skills

Dr. Nimma’s extensive technical toolkit includes expertise in a range of programming languages such as Python, C++, C#, and MATLAB, alongside proficiency in web technologies like HTML, CSS, and JavaScript. His experience spans across both frontend and backend development, and he is well-versed in SQL and MySQL for database management. Dr. Nimma has also developed a keen understanding of Salesforce administration and development, alongside his prowess in algorithm development, data analysis, and image processing techniques, making him a versatile professional capable of addressing challenges in multiple domains.

Legacy and Future Contributions

Dr. Nimma’s legacy is already evident in his research advancements, his leadership in shaping computational science through his reviewer roles and publications, and his ongoing work in machine learning and computer vision. Looking to the future, Dr. Nimma aims to continue expanding the boundaries of his research in artificial intelligence, image processing, and cybersecurity, with a focus on real-world applications that benefit both academic and industry sectors. His contributions are poised to have a long-lasting impact on future generations of scientists, engineers, and researchers who will build upon his work in the coming decades.

Early Academic Pursuits

Dr. Oluwasegun Julius Aroba embarked on his academic journey with a Bachelor of Science and Technology (BSc. Comp. Tech) in Computer Science and Technology from Crawford University, Nigeria, graduating with an impressive 3.6 CGPA on a 5.0 scale. He pursued a Master of Science (M.Sc.) in Information Technology at Coventry University, UK, focusing on implementing ICT Infrastructure (Wide Area Network) with Crawford University as a case study. His academic pursuits culminated in a Doctor of Philosophy (Ph.D.) in Information Technology from Durban University of Technology, South Africa, where he worked on improving node localization and energy efficiency in wireless sensor networks using hyper-heuristic optimization algorithms.

 Professional Endeavors

• Principal Consultant & Executive MBA Trainer at Aroseglinks Zillionaire Consulting Pty Ltd, South Africa (August 2024 – Present).
• Senior AI & Data Science Specialist at the University of Johannesburg (April 2024 – Present).
• Executive MBA Director Trainer & Board Advisor at Dream Riser Projects Pty Ltd, South Africa (February 2024 – Present).
• Senior Lecturer & Honorary Research Associate at Durban University of Technology (March 2020 – Present).
• Senior Lecturer & Researcher at Coventry University, UK (2013–2020).
• Founder & CEO of Aroseglinks Services Limited, Nigeria (2011–2023).

 Contributions and Research Focus

• Artificial Intelligence (AI) and Machine Learning Development & Applications.
• Data Science, Analytics, and Predictive Modeling.
• IoT Projects and Embedded Computing.
• Wireless Sensor Networks.
• SAP Enterprise Resource Planning Systems.

 Impact and Influence

Dr. Aroba’s influence extends beyond academia into global speaking engagements, session chairing, and advisory roles. He has delivered keynote addresses at conferences like the Global Summit on Artificial Intelligence (USA, 2024) and the NdabaX Machine and Deep Learning Conference in South Africa. He has also chaired sessions at international conferences, including the 8th International Congress on Information and Communication Technology (2023) and the Hybrid Intelligence Conference (2022).

 Academic Cites and Technical Skills

Dr. Aroba has authored several publications and reviewed papers for esteemed journals such as Mousaion: South African Journal of Information Studies and conferences like IEEE’s ICTAS. His technical expertise includes programming languages (C, C++), SAP systems, AI frameworks, and cloud computing technologies.

 Teaching Experience

• Programming Languages (C, C++, SAP ERP).
• Artificial Intelligence and Machine Learning.
• Project Management and Strategic Information Technology.
• Research Integrity and Dissertation Supervision.

 Legacy and Future Contributions

Dr. Aroba’s legacy is marked by his commitment to fostering innovation in AI, data science, and wireless communication. His ongoing projects aim to bridge the gap between academia and industry, empowering small-scale farmers and businesses through AI applications. As a thought leader and mentor, he continues to inspire the next generation of researchers and professionals.

 Fellowships and Recognitions

• Postdoctoral Research Fellowship at the University of Johannesburg.
• Erasmus+ Universidad Valladolid Conference Award (2022).
• Durban University of Technology Doctoral Research Grant.
• Niger Delta Development Commission Scholarships for Master’s and Ph.D. studies.

 Professional Certifications and Memberships

Education

• Doctor of Science in Electrical Engineering
  Center for Research and Advanced Studies of the I.P.N.
  • Specialty: VLSI Circuit Design for Neural Networks and Fuzzy Logic
  • Thesis: Design of Basic Cells for Arithmetic Operations Using Multi-Entry Floating Gate Devices
• Master of Science in Electrical Engineering
  Center for Research and Advanced Studies of the I.P.N.
  • Specialty: VLSI Circuit Design for Neural Networks and Fuzzy Logic
  • Thesis: Electronic Design of a Neural Network-Based Classification System for Analog Signals
• Electronics Engineer
  TecNM/Campus Tuxtla Gutierrez

Research Area

• Signal Processing
• Internet of Things (IoT)
• Cybersecurity
• Circuit Design

Software Development

• Software Title: Physiological Parameter Reading via Bluetooth
  • Registered: December 6, 2018

 Research Projects

• Deep Neural Networks and Automotive Systems (Ciencia de Frontera 2023)
• Automotive Embedded Systems for Instrument Activity Logging (Ciencia Básica 2017-2018)
• Mango Anthracnose Detection Using Image Processing (PEI 2016)
• IoT Workshops for Youth in Chiapas (Conacyt 2019)
• Collaborative Mobile Robots for Precision Agriculture

 Supervised Theses

• Doctoral Theses:
  • Wireless Neuro-Fuzzy Control Systems for Solar Energy Optimization
  • Semi-Autonomous Devices for the Visually Impaired
  • Forest Fire Prevention via AR Drone Neuro-Fuzzy Control
• Master’s Theses:
  • IoT-based Automotive Information Systems
  • Neuro-Fuzzy Logic for Arrhythmia Detection in ECG Signals
  • Intelligent Control for Water Treatment Plants

 Achievements

• SNI-1 Member (2021–2025)
• Lead investigator in cutting-edge research initiatives for IoT, signal processing, and intelligent systems.