Bindu Antil | Materials Chemistry | Best Researcher Award

Dr. Bindu Antil | Materials Chemistry | Best Researcher Award

Pennsylvania State University, United States

👨‍🎓Profiles

🎓 Early Academic Pursuits

Dr. Bindu Antil began her academic journey at the University of Delhi, India, where she completed her Bachelor of Science (Hons.) in Chemistry in 2014. She further pursued a Master of Science in Chemistry in 2016, which strengthened her foundation in material science and nanotechnology. Her academic excellence led her to complete a Ph.D. in Chemistry (July 2022) under the supervision of Prof. Sasanka Deka, focusing on advanced nanomaterials for energy applications.

🏛️ Professional Endeavors

Dr. Antil is currently a Distinguished Postdoctoral Fellow at The Pennsylvania State University, USA, in the Department of Energy and Mineral Engineering. Working under Prof. Randy Lee Vander Wal, she is engaged in advanced research in energy materials, electrocatalysis, and hydrogen production. Previously, she participated in an internship under the DBT Star College Project (2012-2013) at the University of Delhi, where she explored carbon materials derived from renewable bio-precursors for Li-ion batteries and supercapacitors.

🔬 Research Focus and Contributions

Dr. Antil’s research revolves around multifunctional nanomaterials for energy storage and conversion. Some key areas of her work include:

Her expertise in colloidal and hydrothermal chemistry allows precise control over material properties, optimizing their efficiency for clean energy applications.

🌍 Impact and Influence

Dr. Antil’s work contributes to the advancement of renewable energy solutions. Her innovations in electrocatalysis and hydrogen generation have the potential to revolutionize energy storage and conversion technologies. Her research supports the global transition toward green energy, enhancing sustainability in battery technology, supercapacitors, and solar-driven hydrogen production.

📚 Teaching & Mentorship

Dr. Antil is actively involved in mentoring young researchers in energy storage, catalysis, and nanomaterials development. Her hands-on expertise with advanced analytical and fabrication techniques makes her a valuable mentor for students and researchers in the field.

🌟 Legacy and Future Contributions

Dr. Bindu Antil is shaping the future of renewable energy and nanomaterials research. With her expertise in hydrogen production, electrocatalysis, and advanced battery materials, she aims to drive breakthroughs in clean energy storage and conversion.

Her ongoing work as a Distinguished Postdoctoral Fellow at Penn State University will further enhance sustainable energy solutions, making her a key contributor to the global pursuit of green and efficient energy technologies.

📖Notable Publications

Development of graphitic and non-graphitic carbons using different grade biopitch sources
Authors: Bindu Antil, Yaseen Elkasabi, Gary D. Strahan, Randy L. Vander Wal
Journal: Carbon
Year: 2025

N-doped graphene modulated N-rich carbon nitride realizing a promising all-solid-state flexible supercapacitor
Author: Bindu Antil
Journal: Journal of Energy Storage
Year: 2022

A Superior and Stable Electrocatalytic Oxygen Evolution Reaction by One-Dimensional FeCoP Colloidal Nanostructures
Author: Bindu Antil
Journal: ACS Applied Materials & Interfaces
Year: 2022

One-Dimensional Multichannel g-C₃N₄.₇ Nanostructure Realizing an Efficient Photocatalytic Hydrogen Evolution Reaction and Its Theoretical Investigations
Author: Bindu Antil
Journal: ACS Applied Energy Materials
Year: 2021

Directed holey and ordered g-C₃N₄.₅ nanosheets by a hard template nanocasting approach for sustainable visible-light hydrogen evolution with prominent quantum efficiency
Author: Bindu Antil
Journal: Journal of Materials Chemistry A
Year: 2020

Direct Thermal Polymerization Approach to N-Rich Holey Carbon Nitride Nanosheets and Their Promising Photocatalytic H₂ Evolution and Charge-Storage Activities
Author: Bindu Antil
Journal: ACS Sustainable Chemistry & Engineering
Year: 2019

Mohamed Issa | Electrochemistry | Best Researcher Award -1744

Assoc. Prof. Dr. Mohamed Issa | Electrochemistry | Best Researcher Award

Egypt Japan University Of Science & Technology, Egypt

👨‍🎓Profiles

🏫 Early Academic Pursuits

Dr. Mohamed Issa embarked on his academic journey with a B.Sc. in Computer Engineering from the Faculty of Engineering, Zagazig University, in 2009, earning an Excellent with Honor distinction. His passion for computer systems and engineering led him to pursue higher education, obtaining an M.Sc. in Computer Engineering in 2013 from the same institution. His research during this period laid a strong foundation for his expertise in meta-heuristics, soft computing algorithms, and artificial intelligence. He further cemented his academic credentials by earning a Ph.D. in Computer Engineering in 2019 from Zagazig University, focusing on advanced computational techniques.

🎓 Professional Endeavors

Dr. Issa's professional career reflects a steady progression through academia. His tenure at Zagazig University began in 2013 as a Teaching Assistant, where he played a crucial role in guiding students in computer engineering subjects. He later advanced to Lecturer Assistant until 2019, when he earned his Ph.D. and transitioned into a full-time Assistant Professor at the Computer and Systems Department, Faculty of Engineering, Zagazig University. In parallel, he contributed to multiple institutions, including NAHDA University and the Higher Technological Institute in Tenth of Ramadan City, as a Part-time Assistant Professor, bringing his expertise in computer science to a broader student community.

His academic growth was officially recognized in 2024 when he was promoted to Associate Professor. He currently holds dual appointments:

  • Full-time Associate Professor at Egypt-Japan University for Science and Technology (E-JUST).
  • Full-time Associate Professor at Zagazig University’s Computer and Systems Department.

These roles underline his national and international contributions to higher education and research.

🧠 Contributions and Research Focus

Dr. Issa’s research contributions span multiple disciplines, with a strong focus on artificial intelligence and computational optimization. His work includes:
✅ Soft Computing Algorithms – Developing and refining computational models for intelligent systems.
✅ Meta-heuristics & Stochastic Algorithms – Enhancing optimization techniques used in engineering and artificial intelligence.
✅ Engineering Problems Optimization – Applying AI-driven approaches to solve complex real-world engineering challenges.
✅ Artificial Intelligence & Machine Learning – Advancing AI methodologies for automation and decision-making.
✅ Computer Vision – Exploring image processing and pattern recognition techniques.
✅ Parallel Computing – Leveraging multi-core and distributed systems for computational efficiency.
✅ Bioinformatics – Implementing AI algorithms for genetic data analysis and biomedical research.

His research contributions have been widely recognized, particularly in machine learning-based optimization, AI-driven decision-making systems, and bioinformatics applications.

🌍 Impact and Influence

Dr. Issa has made a significant impact in the fields of computer science, engineering optimization, and artificial intelligence. His work has influenced research directions in multiple domains, including:
🔹 Developing enhanced meta-heuristic algorithms for complex optimization problems.
🔹 Advancing AI methodologies for industrial and healthcare applications.
🔹 Contributing to bioinformatics research, particularly in sequence alignment and computational biology.

His research has been cited extensively in top-tier scientific journals, showcasing his influence in the global research community.

📊 Academic Citations & Recognition

Dr. Issa’s work has gained considerable academic recognition, reflected in the high citation counts of his publications. His peer-reviewed research in top journals such as Expert Systems with Applications, Applied Soft Computing, and Sustainable Energy Technologies and Assessments highlights his expertise in AI and optimization. His interdisciplinary approach has fostered collaborations with researchers worldwide, further elevating his academic stature.

🔧 Technical Skills

Dr. Issa is proficient in a wide range of technical and analytical tools, including:
✔ Programming Languages: Python, C++, MATLAB, Java.
✔ Optimization Techniques: Meta-heuristics, Evolutionary Algorithms, Swarm Intelligence.
✔ AI & Machine Learning: Deep Learning, Neural Networks, Reinforcement Learning.
✔ Computational Tools: TensorFlow, OpenCV, Scikit-learn, PyTorch.
✔ Parallel Computing: GPU programming, CUDA, OpenMP.

👨‍🏫 Teaching Experience & Mentorship

With over a decade of teaching experience, Dr. Issa has guided numerous undergraduate and postgraduate students. His dynamic teaching methodology integrates theoretical concepts with practical applications, ensuring students gain hands-on experience in AI, optimization, and bioinformatics. He has also mentored students in their research projects, dissertations, and international competitions, many of whom have gone on to pursue successful careers in academia and industry.

🚀 Legacy and Future Contributions

Dr. Mohamed Issa continues to drive innovation and knowledge in artificial intelligence, bioinformatics, and optimization algorithms. His future research directions include:
🔸 Developing cutting-edge AI models for next-generation computing.
🔸 Enhancing computational efficiency through advanced parallel processing.
🔸 Bridging AI and healthcare to create predictive and diagnostic tools.
🔸 Spearheading interdisciplinary collaborations to address emerging global challenges.

Through his extensive research, teaching, and mentorship, Dr. Issa is shaping the future of AI-driven innovation and contributing to scientific advancements that impact both industry and academia.

📖Notable Publications

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Authors: M. Issa, D. Oliva, A.E. Hassanien, H. Ahmed, A. Ahmed

Journal: Expert Systems with Applications

Year: 2018

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

Authors: A.H. Elsheikh, S. Shanmugan, R. Sathyamurthy, A.K. Thakur, M. Issa, ...

Journal: Sustainable Energy Technologies and Assessments

Year: 2022

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Authors: M. Issa, A. Samn

Journal: Mathematics and Computers in Simulation

Year: 2022

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

Authors: M. Issa

Journal: Arabian Journal for Science and Engineering

Year: 2023

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

Authors: M.E. Issa, A.M. Helmi, M.A.A. Al-Qaness, A. Dahou, M. Abd Elaziz, ...

Journal: Healthcare

Year: 2022

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

Authors: M. Abd Elaziz, L. Abualigah, M. Issa, A.A. Abd El-Latif

Journal: Fuel

Year: 2023

Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm

Authors: M. Issa, M. Abd Elaziz

Journal: Applied Soft Computing

Year: 2020