Research Scholar, VIT Bhopal University, India

Ms. Sonali Shashikant Rokade, born on March 20th, 1988, in Palus, Maharashtra, India, has forged a distinguished academic and professional career.

Profile

Scopus

Education 📚

She obtained her Bachelor of Engineering in Information Technology from Shivaji University and pursued a Master of Engineering in Computer Network from Savitribai Phule Pune University. Currently undertaking a Ph.D. in Computer Science and Engineering at VIT Bhopal University.

Experience 💼

Ms. Rokade has a decade-long tenure in education, contributing significantly to the academic growth of her students. She serves as the Post Graduate Program Coordinator, showcasing exceptional leadership and organizational skills.

Research Interests 🔍

Committed to advancing the field of computer science and engineering through rigorous research and scholarly inquiry, focusing on blockchain-based systems, privacy preservation, machine learning, and healthcare analytics.

Awards 🏆

Achieved 2 design patents grant.

Publications Top Notes📝

A blockchain-based deep learning system with optimization for skin disease classification (2024)

Biomedical Signal Processing and Control

Intelligent Health: Empowering Illness and Prognosis with Machine Learning-Enabled Electronic Health Records on Blockchain (2024)

Proceedings of 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

Privacy preservation of medical data in blockchain with secret key generation using RideNN (2024)

Multimedia Tools and Applications

Yongliang Zhang | Electronics | Best Researcher Award

Posted on 29/05/202429/05/2024 by ScienceFatherLeave a Comment

Dr. Yongliang Zhang | Electronics | Best Researcher Award

Professor, Inner Mongolia University, China

Zhang Yongliang is a distinguished professor at the School of Electronic Information Engineering, Inner Mongolia University. Born in October 1985 in Hohhot, Inner Mongolia, he is a member of the Communist Party of China. Professor Zhang has made significant contributions to the fields of electronic information and electromagnetic research, holding a vital role in mentoring graduate students and leading pioneering research projects.

Profile

Scopus

🎓 Education

Zhang Yongliang completed his Bachelor’s degree in Electronic Information Engineering at Xidian University in 2009. He continued his education at the same university, earning a Ph.D. in Electronic Science and Technology with a specialization in Electromagnetic Field and Microwave Technology in 2014 under the supervision of Professor Liang Changhong.

💼 Experience

Professor Zhang began his academic career as a lecturer at Inner Mongolia University in 2014. He was promoted to Associate Professor in 2017 and achieved full Professorship in 2020. Additionally, he served as a visiting researcher at Tohoku University, Japan, in 2020, expanding his international experience and collaborative research endeavors.

🔬 Research Interests

Professor Zhang’s research interests are diverse and cutting-edge. They include:

Artificial Intelligence and Machine Learning applications in control engineering and pattern recognition.
Electromagnetic fields, microwave, and millimeter-wave research integrating AI for enhanced performance.
Communication RF front-end device optimization, including filters and antennas.
Integrated circuit and microelectronic device research.
Computational electromagnetics.
Intelligent automotive electronics and vehicle communication systems.

📖 Publications Top Notes

Professor Zhang has an extensive list of publications, with notable recent works including:

2023:
- Zhang, Yongliang et al., “A Coupling Matrix Synthesis Design for Filtering Antenna With Good Out-of-Band Suppression,” IEEE Antennas and Wireless Propagation Letters. Link
- Zhang, Yongliang et al., “Compact wideband filtering Balun Based on SISL Technology,” International Journal of Microwave and Wireless Technologies. Link
- Li, Kunlai et al., “A novel algorithm of the perfectly matched layer based on the Runge–Kutta method of order 2 accuracy,” Microwave and Optical Technology Letters. Link
2022:
- Zhang, Yongliang et al., “A 3 dB SISL coupler design by multi-objective evolutionary algorithm based on decomposition,” International Journal of RF and Microwave Computer-Aided Engineering. Link
- Zhang, Yongliang et al., “A single cavity wideband passband filter with a notched band,” International Journal of RF and Microwave Computer-Aided Engineering. Link
- Zhang, Xianfang et al., “A novel MS to SL vialess vertical transition for high-performance substrate integrated filter,” International Journal of RF and Microwave Computer-Aided Engineering. Link

Reza Fotohi | Security and Privacy | Best Researcher Award

Posted on 27/05/202427/05/2024 by ScienceFatherLeave a Comment

Dr. Reza Fotohi | Security and Privacy | Best Researcher Award

PhD Candidate, SBU, Iran

Reza Fotohi is an accomplished researcher in computer software engineering, with a strong academic background and numerous contributions to the field. He earned his Ph.D. from Shahid Beheshti University, Tehran, Iran, where his research focused on privacy-preserving data models in intelligent enterprises. Recognized globally, Fotohi is amongst the top 2% of researchers in the world according to Stanford University. His work spans advanced software engineering, network security, and ultra-large-scale systems.

Education 🎓

Reza Fotohi completed his Ph.D. in Computer Software Engineering at Shahid Beheshti University (SBU) from September 2019 to September 2023. His coursework included Advanced Software Engineering, Self-adapting and Self-organizing Systems, Advanced Network Security, and Ultra Large Scale Systems, achieving a GPA of 19.0/20. Fotohi served as a Teaching Assistant for Ultra Large Scale Systems in 2021 and 2022, and as a Research Assistant in 2022. His thesis, supervised by Dr. Fereidoon Shams Aliee and advised by Dr. Bahar Farahani, focused on developing a lightweight model for privacy-preserving data in intelligent enterprises.

Experience 💼

Reza Fotohi has extensive teaching experience, having taught various computer engineering and information technology courses at several universities in Iran. He taught Applied Computer Skills at Shahid Beheshti University, and Computer Networks, Network Programming, Information Technology, and E-commerce at the University of Applied Science and Technology (UAST). Additionally, he taught courses including Internet Engineering, Algorithm Design, Data Structure, and Software Engineering at Payame Noor University (PNU) and Islamic Azad University (IAU).

Research Interests 🔬

Fotohi’s research interests lie in advanced software engineering, network security, and privacy-preserving data systems. He is particularly focused on self-adapting and self-organizing systems, ultra-large-scale systems, and the application of blockchain technology in securing communications between IoT devices. His work also encompasses big data-aware intrusion detection systems, network-layer attack discovery, and performance-aware placement in virtualized network functions.

Awards 🏆

Reza Fotohi has received numerous accolades throughout his academic career. During his Ph.D., he was recognized as one of the top 2% of researchers worldwide by Stanford University. He was awarded a fellowship by the Faculty of Computer Science and Engineering at Shahid Beheshti University and was selected to use the facilities of the National Elite Foundation. Fotohi ranked 17th nationwide in the Ph.D. university entrance exam and consistently ranked among the top students during his undergraduate and postgraduate studies.

Publications Top Notes📚

A Crisis‑driven e‑Learning Capability Maturity Model in the Age of COVID‑19: Process‑based Maturity Assessment (2021), National Conference on Advances in Enterprise Architecture. Link
- Cited by: Articles on e-learning models during crises.
Big Data‑aware Intrusion Detection System in Communication Networks: A Deep Learning Approach (2021), Journal of Grid Computing. Link
- Cited by: Research on big data and intrusion detection systems.
A reliable and secure method for network‑layer attack discovery and elimination in mobile ad‑hoc networks based on a probabilistic threshold (2021), Security and Privacy. Link
- Cited by: Studies on network security in mobile ad-hoc networks.
Securing Communication between Things using Blockchain Technology based on Authentication and SHA‑256 to Improving Scalability in Large‑Scale IoT (2021), Computer Networks. Link
- Cited by: Research on blockchain applications in IoT.
Defense against flooding attacks using probabilistic thresholds in the internet of things ecosystem (2021), Security and Privacy. Link
- Cited by: Works on IoT security mechanisms.

Keykavous Parang | Anticancer | Best Researcher Award

Posted on 27/05/202427/05/2024 by ScienceFatherLeave a Comment

Prof. Keykavous Parang | Anitcancer | Best Researcher Award

Professor, Chapman University School of Pharmacy, United States

Dr. Keykavous Parang is a renowned medicinal chemist and chemical biologist with extensive expertise in peptide synthesis, drug delivery, and organic synthesis. He has made significant contributions to the fields of nanotechnology and pharmaceutical sciences, with a focus on developing novel therapeutics to combat diseases. Dr. Parang has a robust portfolio of patents and publications, reflecting his innovative research and commitment to advancing medical science.

Profile

Google Scholar

Education 🎓

Dr. Parang earned his Ph.D. in Medicinal Chemistry from the Faculty of Pharmacy at the University of Alberta in August 1997, where he was mentored by Drs. L. I. Wiebe and E. E. Knaus. Prior to this, he completed his Pharm.D. at the Faculty of Pharmacy in January 1989. His academic background laid a strong foundation for his career in medicinal chemistry and pharmaceutical research.

Experience 💼

Dr. Parang has amassed extensive experience in various domains of medicinal chemistry and pharmaceutical sciences. His expertise includes peptide synthesis, nano-based drug design, solid-phase organic synthesis, and biomaterials characterization using advanced microscopy and spectroscopy methods. He has also excelled in cell-based assays, enzymatic reactions, and molecular modeling, showcasing a versatile skill set in both research and application.

Research Interests 🔬

Dr. Parang’s research interests are diverse and impactful. He focuses on medicinal chemistry and chemical biology, evaluation of peptides from natural products, and nano-based drug design. His work also encompasses peptide synthesis for enzyme inhibition and drug delivery, biomaterials characterization, and the development of synthetic organic chemistry techniques. His research aims to innovate and improve therapeutic strategies for various diseases.

Awards 🏆

Dr. Parang has received numerous awards recognizing his contributions to science and education. Notable honors include the Chapman University Million Dollar Club Member in 2022, the CUSP Culture Award for Diversity and Inclusion in 2021, and the AIMS Award from ATOMWISE in 2019. He has also been recognized as a highly prolific author by the American Chemical Society’s Molecular Pharmaceutics in 2017 and was named AACP Teacher of the Year in 2015.