Bader Alsharif | Computer Science | Best Innovation Award

Posted on 27/12/202427/12/2024 by ScienceFather

Dr. Bader Alsharif | Computer Science | Best Innovation Award

Florida Atlantic University, United States

Dr. Bader Alsharif is an accomplished PhD candidate in Computer Engineering with a strong background in teaching, technical support, and curriculum development. He has led innovative projects, including the first CISCO simulation lab in Saudi Arabia, and has managed over 300 devices, optimizing performance and security. With a focus on AI, Cybersecurity, and IoT, particularly in healthcare, Dr. Alsharif has published over 7 peer-reviewed papers. He has demonstrated leadership in both academic and technical spheres, guiding over 200 students and advocating for special needs education, ensuring their academic success. His expertise extends to training professionals, having conducted comprehensive courses for Saudi Telecom employees. Dr. Alsharif has shown a profound commitment to advancing technology and fostering inclusivity, particularly through his work with individuals with special needs. His work bridges technological innovation with social impact, positioning him as a forward-thinking leader in computer engineering and healthcare.

Professional Profile

Education

Dr. Bader Alsharif has an extensive academic background, beginning with a Bachelor of Science in Computer Engineering from the College of Technology in Riyadh, Saudi Arabia, where he graduated in 2008. He further advanced his studies with a Master of Science in Computer Engineering from the Florida Institute of Technology, completing his degree in 2017. Currently, Dr. Alsharif is pursuing a Doctor of Computer Engineering at Florida Atlantic University in Boca Raton, USA, with an expected graduation date of 2025. His academic journey has been marked by a strong focus on integrating Artificial Intelligence (AI), Cybersecurity, and Internet of Things (IoT) technologies, particularly in healthcare applications. This multidisciplinary education has provided Dr. Alsharif with the expertise to contribute meaningfully to both research and practical innovations in these fields, bridging the gap between technology and real-world healthcare challenges.

Professional Experience

Dr. Bader Alsharif has a diverse professional background with extensive experience in both academia and technical roles. He currently serves as a Teaching Assistant at Florida Atlantic University, where he guides and evaluates over 30 students on engineering design projects and assists more than 200 students with project development and technical issues. Prior to this, Dr. Alsharif held a prominent role as a Lecturer at the Communications and Information College in Riyadh, Saudi Arabia, where he managed and maintained over 300 devices and led the installation of the first CISCO simulation lab in the country. This project, a significant innovation, involved the deployment of over 30 devices and routers. He also trained 100 employees from Saudi Telecom and designed assessments for instructors working with special needs students. Dr. Alsharif’s professional experience reflects a strong blend of technical expertise, leadership, and a commitment to education and inclusivity.

Research Interest

Dr. Bader Alsharif’s research interests lie at the intersection of Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT), with a particular focus on their applications in healthcare. He is deeply committed to exploring how these advanced technologies can be integrated to enhance patient outcomes and improve healthcare systems. His work aims to leverage AI algorithms to optimize medical data analysis, while also addressing critical security concerns in the rapidly growing field of IoT healthcare devices. Dr. Alsharif’s research also extends to the development of innovative solutions for securing healthcare networks and ensuring the privacy of sensitive patient information. With a strong academic foundation and several peer-reviewed publications, he is dedicated to advancing knowledge in these areas and exploring how cutting-edge technologies can be applied to solve real-world challenges in healthcare. His work demonstrates a commitment to both technological innovation and social impact, especially in the realm of health and well-being.

Award and Honor

Dr. Bader Alsharif has received numerous accolades for his contributions to academia and technology. His achievements include successfully leading the installation of the first CISCO simulation lab in Saudi Arabia, which became a groundbreaking project in the region, significantly enhancing the educational infrastructure for telecommunications. In recognition of his exceptional performance in teaching and technical support, he consistently achieved high job performance ratings, including scores no less than 99/100. Dr. Alsharif has also been honored for his commitment to inclusive education, particularly in advocating for and supporting students with special needs, ensuring their academic excellence. His research in AI, Cybersecurity, and IoT, particularly in the healthcare sector, has earned him recognition as a published researcher with over 7 peer-reviewed papers. Through his work, Dr. Alsharif has received recognition from academic institutions and industry professionals for his innovative contributions, leadership, and commitment to fostering technological advancements with social impact.

Conclusion

Bader Alsharif has demonstrated significant innovation across several key areas of AI, Cybersecurity, and IoT, particularly in healthcare. His leadership in education and advocacy for special needs individuals also reflects a deep commitment to both technological advancement and social impact. His ability to lead high-profile projects and publish extensively in relevant fields positions him as a strong candidate for the Best Innovation Award. However, expanding his research impact and involvement in larger-scale, cross-disciplinary projects could further elevate his candidacy. Overall, he has the potential to be an exceptional award recipient based on his innovative contributions and impact.

Publications Top Noted

Title: Deep learning technology to recognize American Sign Language alphabet
Authors: B Alsharif, AS Altaher, A Altaher, M Ilyas, E Alalwany
Year: 2023
Citations: 14
Title: Internet of things technologies in healthcare for people with hearing impairments
Authors: B Alsharif, M Ilyas
Year: 2022
Citations: 8
Title: Deep Learning Technology to Recognize American Sign Language Alphabet Using Multi-Focus Image Fusion Technique
Authors: B Alsharif, M Alanazi, AS Altaher, A Altaher, M Ilyas
Year: 2023
Citations: 6
Title: Machine Learning Technology to Recognize American Sign Language Alphabet
Authors: B Alsharif, M Alanazi, M Ilyas
Year: 2023
Citations: 4
Title: Enhancing cybersecurity in healthcare: Evaluating ensemble learning models for intrusion detection in the internet of medical things
Authors: T Alsolami, B Alsharif, M Ilyas
Year: 2024
Citations: 3
Title: Multi-Dataset Human Activity Recognition: Leveraging Fusion for Enhanced Performance
Authors: M Alanazi, B Alsharif, AS Altaher, A Altaher, M Ilyas
Year: 2023
Citations: 3
Title: Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet
Authors: B Alsharif, E Alalwany, M Ilyas
Year: 2024
Citations: 1
Title: Franklin Open
Authors: B Alsharif, E Alalwany, M Ilyas
Year: 2024
Citations: Not available yet

Hossein Nematzadeh | Computer Science | Best Researcher Award

Posted on 24/12/202424/12/2024 by ScienceFather

Dr. Hossein Nematzadeh | Computer Science | Best Researcher Award

Assist Prof at Universidad de Malaga, Spain

Dr. Hossein Nematzadeh is an accomplished researcher and academic with a Ph.D. in Computer Science from the University of Technology, Malaysia. He is currently an Assistant Professor at the Modern College of Business and Science in Oman, with prior experience as a researcher at Universidad de Málaga, Spain, and an assistant professor at Islamic Azad University, Iran. His research interests span Data Science, Artificial Intelligence, Cryptography, and Software Engineering, with a particular focus on explainable AI, feature selection, evolutionary algorithms, and image encryption. Dr. Nematzadeh has published extensively in high-impact journals, contributing to advancements in AI and machine learning. He is also an experienced educator, having taught a wide array of computer science courses at various academic levels. With expertise in technologies like Python, MATLAB, and AWS, he is committed to both advancing research and mentoring the next generation of computer scientists.

Professional Profile

Education

Dr. Hossein Nematzadeh has a strong academic foundation in Computer Science, having completed his Ph.D. at the University of Technology, Malaysia in 2014. Prior to his doctoral studies, he earned his Master’s degree from the same institution in 2009, further solidifying his expertise in the field. Dr. Nematzadeh also holds a Bachelor’s degree from Mazandaran University of Science and Technology, obtained in 2007. His educational journey reflects a deep commitment to the study of computer science, particularly in areas such as Artificial Intelligence, Data Science, and Cryptography. Throughout his academic career, he has gained a robust understanding of both theoretical and practical aspects of the field, which has informed his subsequent research and teaching. This solid educational background, combined with his ongoing research contributions, enables him to be a leader in his academic and professional endeavors.

Professional Experience

Dr. Hossein Nematzadeh has extensive professional experience in academia and research. He is currently serving as an Assistant Professor at the Modern College of Business and Science in Oman, where he teaches and supervises students in the field of Computer Science. Prior to this role, he was a researcher at Universidad de Málaga in Spain from 2021 to 2024, contributing to several high-impact research projects in Artificial Intelligence and Data Science. From 2012 to 2021, he served as an Assistant Professor at Islamic Azad University in Iran, where he taught various computer science courses and engaged in research activities. Throughout his career, Dr. Nematzadeh has built a reputation as both an educator and a researcher, publishing extensively in leading journals and presenting his work in international forums. His expertise spans across Data Science, Artificial Intelligence, and Cryptography, making him a prominent figure in these fields.

Research Interest

Dr. Hossein Nematzadeh’s research interests lie at the intersection of Data Science, Artificial Intelligence, Cryptography, and Software Engineering. He is particularly focused on developing advanced techniques in explainable AI, feature selection, and noise detection, with an emphasis on making AI models more interpretable and reliable. His work in evolutionary algorithms and fuzzy logic explores ways to optimize decision-making processes and improve system performance. Dr. Nematzadeh is also passionate about cryptography, specifically in areas such as image encryption, which contributes to enhancing data security in digital environments. Additionally, he has a strong interest in software engineering, with research dedicated to verification and validation processes, as well as the application of Petri nets to model and analyze complex systems. His research aims to push the boundaries of AI and machine learning, providing solutions to both theoretical and practical challenges in these rapidly evolving fields.

Award and Honor

Dr. Hossein Nematzadeh has earned recognition for his contributions to research and academia throughout his career. He has received several honors for his work in the fields of Data Science, Artificial Intelligence, and Cryptography, particularly for his research on explainable AI and feature selection methods. Dr. Nematzadeh’s scholarly impact is reflected in his publications in prestigious journals such as Engineering Applications of Artificial Intelligence and Knowledge-Based Systems. His work has been widely cited, demonstrating the influence of his research on the scientific community. In addition to his academic accomplishments, Dr. Nematzadeh has been actively involved in mentoring students and contributing to the advancement of his field through teaching and supervision. His dedication to fostering new talent in Computer Science and his continuous pursuit of research excellence have earned him respect within academic circles, making him a highly regarded figure in the global academic and research community.

Publications Top Noted

Title: Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices
Authors: H Nematzadeh, R Enayatifar, H Motameni, FG Guimarães, VN Coelho
Year: 2018
Cited by: 157
Title: A hybrid feature selection method based on information theory and binary butterfly optimization algorithm
Authors: Z Sadeghian, E Akbari, H Nematzadeh
Year: 2021
Cited by: 116
Title: Heuristic filter feature selection methods for medical datasets
Authors: M Alirezanejad, R Enayatifar, H Motameni, H Nematzadeh
Year: 2020
Cited by: 78
Title: Binary search tree image encryption with DNA
Authors: H Nematzadeh, R Enayatifar, M Yadollahi, M Lee, G Jeong
Year: 2020
Cited by: 72
Title: Frequency based feature selection method using whale algorithm
Authors: H Nematzadeh, R Enayatifar, M Mahmud, E Akbari
Year: 2019
Cited by: 66
Title: Emergency role-based access control (E-RBAC) and analysis of model specifications with alloy
Authors: F Nazerian, H Motameni, H Nematzadeh
Year: 2019
Cited by: 52
Title: Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network
Authors: M Asghari, H Nematzadeh
Year: 2016
Cited by: 51
Title: A novel image security technique based on nucleic acid concepts
Authors: M Yadollahi, R Enayatifar, H Nematzadeh, M Lee, JY Choi
Year: 2020
Cited by: 33
Title: Mapping to convert activity diagram in fuzzy UML to fuzzy petri net
Authors: H Motameni, A Movaghar, I Daneshfar, H Nemat Zadeh, J Bakhshi
Year: 2008
Cited by: 30
Title: Automatic ensemble feature selection using fast non-dominated sorting
Authors: S Abasabadi, H Nematzadeh, H Motameni, E Akbari
Year: 2021
Cited by: 28
Title: A mixed solution-based high agreement filtering method for class noise detection in binary classification
Authors: M Samami, E Akbari, M Abdar, P Plawiak, H Nematzadeh, ME Basiri, …
Year: 2020
Cited by: 24
Title: Comparison of Decision Tree Methods in Classification of Researcher’s Cognitive Styles in Academic Environment
Authors: ZN Balagatabi, R Ibrahim, HN Balagatabi
Year: 2015
Cited by: 24

Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Posted on 10/09/202410/09/2024 by ScienceFather

Mrs. Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Assistant Professor at Dr Subhash University, India

Khyati Bhupta is a highly motivated and accomplished professor specializing in the field of pharmacy. She is dedicated to both teaching and research, with a passion for fostering student development using modern teaching methods and advanced pedagogy. Her work is defined by her dedication to innovation and academic excellence. Her experience and skills, particularly in the pharmaceutical sector, make her a valuable contributor to both academia and the industry.

Professional profile

ORCID Profile.

Education 📚

Khyati holds a PhD in Pharmacy, which she earned in May 2013 from Dr. Subhash University, Gujarat. Prior to her PhD, she completed her Master’s in Pharmacy with a specialization in Quality Assurance from Gujarat Technological University in 2009, and her Bachelor’s in Pharmacy from Sardar Patel University in 2007. Her academic journey reflects a consistent focus on pharmaceutical sciences, with an emphasis on quality and research.

Professional Experience🎓

Over the years, Khyati has built extensive experience as a professor in pharmacy, contributing significantly to both teaching and research. She is skilled in handling pharmaceutical instruments and software, which has been vital in her research and practical work. Her expertise in communication and documentation further enhances her teaching capabilities, making her an effective educator who fosters learning through modern approaches and methodologies.

Research Interest🎓

Khyati’s research primarily focuses on pharmaceutical sciences, with significant work on benzothiazole derivatives, exploring their potential as antidiabetic and antiviral agents. She has published multiple papers on these topics in renowned journals such as MDPI and the Annals of the Romanian Society for Cell Biology. Her work also involves method development for pharmaceutical analysis, including titrimetric methods and RP-HPLC method development for drug estimation, reflecting her deep engagement in pharmaceutical research and innovation.

Awards and Honors 🏆

Khyati has received several recognitions for her contributions to research. In August 2022, she was granted a patent from the Government of India, demonstrating her innovative contributions to pharmaceutical science. Additionally, she received a grant from the SSIP (Student Startup and Innovation Policy) under the Gujarat Government in October 2023 for her work on a startup project, highlighting her potential in translating research into practical applications.

Publications top noted📜

BENZOTHIAZOLE: AS AN ANTIDIABETIC AGENT
- Authors: Khyati Bhupta
- Journal: Annals of the Romanian Society for Cell Biology
- Year: 2021
- Citations: N/A 📊💊
BENZOTHIAZOLE MOIETY AND ITS DERIVATIVES AS ANTIVIRAL AGENTS
- Authors: Khyati Bhupta
- Journal: MDPI
- Year: 2021
- Citations: N/A 🦠🔬
Biological Screening and Structure Activity Relationship of Benzothiazole
- Authors: Khyati Bhupta
- Journal: Research Journal of Pharmacy and Technology
- Year: 2022
- Citations: N/A 🧪📈
Development of Titrimetric Method for Estimation of Furosemide Tablets by Using Mixed Co-Solvency Process
- Authors: Khyati Bhupta
- Journal: International Journal of Biology, Pharmacy and Allied Sciences
- Year: 2022
- Citations: N/A ⚖️💊
RP-HPLC Method Development and Validation for Simultaneous Estimation of Ranitidine Hydrochloride and Domperidone in Combination
- Authors: Khyati Bhupta
- Journal: International Journal of Pharmacy, Biology and Allied Science
- Year: 2023
- Citations: N/A 📊🔬

Sayyed Ahmed | Computer Science | Best Scholar Award

Posted on 24/07/202425/07/2024 by ScienceFather

Mr. Sayyed Ahmed | Computer Science | Best Scholar Award

Assistant Professor of Aligarh Muslim University, India

Dr. Sayyed Usman Ahmed is a dedicated academic and researcher in the field of computer engineering, specializing in artificial intelligence and legal reasoning. He has been recognized for his contributions with awards such as the Best Paper Award (2022-23) and the Visvesvaraya Part-Time PhD Fellowship (2018-19). His teaching and research continue to inspire and shape the next generation of engineers and technologists.

Publication profile

Scopus

Education

Dr. Sayyed Usman Ahmed holds a Ph.D. in Computer Engineering from Aligarh Muslim University (AMU), India, where he conducted research on “Decision Intelligence in Augmentation of Legal Reasoning” under the supervision of Prof. Nesar Ahmad. His thesis was submitted on March 6, 2024. He earned his M.Tech in Computer Engineering from Rajasthan Technical University (2012-2014) with a thesis on evaluating the efficiency and effectiveness of code reading techniques, supervised by Dr. Rajendra Purohit. He completed his B.Tech in Computer Engineering from AMU (2003-2007), with a project on fingerprint detection systems under the guidance of Prof. M. Sarosh Umar and Prof. Syed Atiqur Rahman.

Experience

Dr. Ahmed has extensive experience in academia and industry. He is currently an Assistant Professor at AMU, teaching courses in software engineering, data structures, information security, and programming labs. He has also served as a Deputy Head of the Information Technology department at Jodhpur Institute of Engineering and Technology, where he contributed significantly to teaching, course development, and departmental administration. In the industry, he has worked as an Application Software Engineer at Computer Science Corporation, focusing on software maintenance, bug fixes, and enhancements. Additionally, he has served in various capacities at the Computer Centre of AMU, including roles as a Programmer and Technical Consultant.

Research focus

Dr. Ahmed’s research interests encompass artificial intelligence, machine learning, natural language processing, and decision intelligence. He has published extensively in journals and conferences, focusing on areas such as sentiment analysis, depression detection from social media posts, rumor-free social networks, and news article summarization. His recent research includes a framework for legal case brief generation using natural language processing and smart contract generation through NLP and blockchain.

Publication top notes

1. Ahmad, T., Ahamad, M., Ahmed, S. U., Ahmad, N. (2022) Short question-answers
assessment using lexical and semantic similarity based features, Journal of Discrete
Mathematical Sciences and Cryptography, 25:7, 2057-2067, DOI:
10.1080/09720529.2022.2133245 [ESCI & Scopus]

2. Ahmed, S. U., Ahmad, T., Ahmad, N. (2022). Sentiment Analysis Techniques for
Depression Detection from Micro-Blogging Social Media Post. NueroQuantology
DOI: 10.14704/NQ.2022.20.12.NQ77265 [Scopus]

3. Ahmad, T., Ahmed, S. U., Ali, S. O., & Khan, R. (2020). Beginning with exploring the
way for rumor free social networks. Journal of Statistics and Management Systems, 23(2),
231-238. https://doi.org/10.1080/09720510.2020.1724623 [Web of Science]

4. Ahmad, T., Ahmed, S. U., Ahmad, N., Aziz, A., Mukul, L. (2020). News Article
Summarization: Analysis and Experiments on Basic Extractive Algorithms. International
Journal of Grid and Distributed Computing, 13(2), 2366 – 2379. [Web of Science]

5. Ahmed, S. U. (2018). Monitoring Unscheduled Leaves using IVR. Global Journal of
Computer Science and Technology, 18(1), 7–9. [Peer-reviewed]

6. Ahmed, S. U., & Purohit, R. (2014). Evaluating Efficiency and Effectiveness of Code
Reading Technique with an Emphasis on Enhancing Software Quality. International
Journal of Computer Applications, 2, 32-36. [Peer-reviewed]

7. Ahmed, S. U., Azmi, M. A., Badgujar, C., (2014). How to design and test safety critical
software systems. International Journal of Advances in Computer Science and Technology,
3(1), 19-22. [Peer-reviewed]

8. Ahmed, S. U., Sahare, S. A., & Ahmed, A. (2013). Automatic test case generation using
collaboration UML diagrams. World Journal of Science and Technology. 2, [Peerreviewed]

9. Ahmed, S. U., & Azmi, M. A. (2013). A Novel Model Based Testing (MBT) approach for
Automatic Test Case Generation. International Journal of Advanced Research in
Computer Science, 4(11), 81-83. [Peer-reviewed]

Journal Publications (Under Review)
1. Ahmed, S. U., Ahmed, N., Ahmad, T. (2023) A Rhetorical Role Relatedness (RRR)
framework for Legal Case Brief Generation Natural Language Processing Journal
(Elsevier, Submitted)

Himanshi Babbar | Networking | Best Researcher Award

Posted on 24/07/2024 by ScienceFather

Himanshi Babbar | Networking | Best Researcher Award

Dr . HimanshiBabbar ,Chitkara University Institute of Engineering and Technology , India

Dr. Himanshi Babbar is an accomplished academic with extensive experience in the field of computer science and technology. She currently serves as an Assistant Professor, Research (CURIN) at Chitkara University, where she has been since February 2022. Her prior roles include working as a Full-time Research Scholar at Chitkara University and as an Assistant Professor at the Chandigarh Group of Colleges and Aryans Group of Colleges. Her teaching portfolio spans a range of undergraduate and postgraduate courses, including Computer Networks, Database Management Systems, Web Technologies, and Programming in various languages. Dr. Babbar’s research interests are centered around advanced networking topics such as Software Defined Networking (SDN), Internet of Things (IoT), Intrusion Detection Systems (IDS), and Deep Learning. Her work aims to enhance network efficiency, security, and integration with emerging technologies.

Publication profile

google scholar

Scopus Profile

ORCID

Education

Himanshi Babbar has an extensive and impressive educational background. She completed her Postdoctoral research at Zayed University, a public university in the UAE, from 2021 to 2022. Following this, she earned her PhD from Chitkara University, Punjab, a private university, between 2018 and 2021. Both of these prestigious qualifications were awarded upon completion. Prior to her PhD, Himanshi completed her Master of Computer Applications (MCA) at Chitkara University, Punjab, from 2012 to 2015, achieving a CGPA of 7.91. She also holds a Bachelor of Computer Applications (BCA) from Chitkara Institute of Engineering and Technology, Punjab, under Punjab Technical University, where she graduated with an impressive 83.0% between 2009 and 2012. Her earlier education includes completing Class XII at ICL Public School in Rajpura under the CBSE board in 2009, with a percentage of 72.6%. She also completed her Class X education at the same school in 2007, securing a percentage of 57.8%

Experience

Dr. Himanshi Babbar is currently serving as an Assistant Professor, Research (CURIN) at Chitkara University, Rajpura, Punjab Campus, since February 2022. Before this role, she was a Full-time Research Scholar at the same institution from November 2018 to December 2021. During her tenure as a Research Scholar, she taught several undergraduate courses, including “Computer Networks and Cisco Packet Tracer” at the 1st year level, “Database Management System” at the 2nd year level, and “Introduction to Web Technologies” also at the 2nd year level. Prior to her current position, Dr. Babbar worked as an Assistant Professor at the Chandigarh Group of Colleges, Landran (Mohali) from June 2016 to November 2017. Here, she taught courses such as “Digital Circuit and Logic Design”, “Software Engineering”, “System Analysis and Design (SAD)”, and “Oracle” at the 2nd year undergraduate level. Additionally, she supervised “Minor and Major Projects” at the 3rd year undergraduate level. She is also experienced in teaching “Workshop on Web Development” and “Java” at the 3rd year undergraduate level, as well as “Programming in C” at the 2nd year MBA (IT) level. Earlier in her career, Dr. Babbar held the position of Assistant Professor at the Aryans Group of Colleges, Chandigarh from August 2015 to November 2015. During this period, she taught “Information Technology” at the 1st year postgraduate level, “Digital Circuit and Logic Design” at the 2nd year undergraduate level, and “Programming in Java” at the 3rd year undergraduate level.

Research focus

Dr. Himanshi Babbar’s areas of expertise and research interests include Software Defined Networking, Internet of Things, Intrusion Detection Systems, and Deep Learning. These fields reflect her deep engagement with cutting-edge technologies and their applications, showcasing her commitment to advancing knowledge and innovation in these domains

Skills:

Dr. Himanshi Babbar possesses a strong technical skill set, including proficiency in programming languages such as C, C++, and Python. Her software skills include experience with development environments and tools like Eclipse, Turbo C++, Dev C++, Code-Blocks, ORACLE, NetBeans, and Mininet. She is adept at using various operating systems, including Windows 8, Windows 7, Windows XP, and Ubuntu 18.04 LTS. Additionally, Dr. Babbar is skilled in using Overleaf (LATEX) for document preparation, Origin for data analysis, and MS-Office Suite (Word, Excel, PowerPoint) for general office tasks.

Publication top notes

Security framework for internet-of-things-based software-defined networks using blockchain
- Year: 2022
- Journal: IEEE Internet of Things Journal
- Authors: S Rani, H Babbar, G Srivastava, TR Gadekallu, G Dhiman
- 📅🔒🌐
An optimized approach of dynamic target nodes in wireless sensor network using bio inspired algorithms for maritime rescue
- Year: 2022
- Journal: IEEE Transactions on Intelligent Transportation Systems
- Authors: S Rani, H Babbar, P Kaur, MD Alshehri, SH Shah
- 📅🚢🔄
An efficient and lightweight deep learning model for human activity recognition using smartphones
- Year: 2021
- Journal: Sensors
- Authors: Ankita, S Rani, H Babbar, S Coleman, A Singh, HM Aljahdali
- 📅📱🧠
Load balancing algorithm for migrating switches in software-defined vehicular networks
- Year: 2021
- Journal: Comput. Mater. Contin
- Authors: H Babbar, S Rani, M Masud, S Verma, D Anand, N Jhanjhi
- 📅🚗🔄
Energy‐Efficient Routing Protocol for Next‐Generation Application in the Internet of Things and Wireless Sensor Networks
- Year: 2022
- Journal: Wireless Communications and Mobile Computing
- Authors: R Dogra, S Rani, H Babbar, D Krah
- 📅🔋📡
Intelligent edge load migration in SDN-IIoT for smart healthcare
- Year: 2022
- Journal: IEEE Transactions on Industrial Informatics
- Authors: H Babbar, S Rani, SA AlQahtani
- 📅🏥🔄
A genetic load balancing algorithm to improve the QoS metrics for software defined networking for multimedia applications
- Year: 2022
- Journal: Multimedia Tools and Applications
- Authors: H Babbar, S Parthiban, G Radhakrishnan, S Rani
- 📅🎥🔄
Load balancing algorithm on the immense scale of internet of things in SDN for smart cities
- Year: 2021
- Journal: Sustainability
- Authors: H Babbar, S Rani, D Gupta, HM Aljahdali, A Singh, F Al-Turjman
- 📅🏙️🔄
Cloud based smart city services for industrial internet of things in software-defined networking
- Year: 2021
- Journal: Sustainability
- Authors: H Babbar, S Rani, A Singh, M Abd-Elnaby, BJ Choi
- 📅☁️🏙️
Software-defined networking framework securing internet of things
- Year: 2020
- Journal: Integration of WSN and IoT for Smart Cities
- Authors: H Babbar, S Rani
- 📅🔒📡

Prakhar Consul | Computer Science | Best Researcher Award

Posted on 23/07/202423/07/2024 by ScienceFather

Prakhar Consul | Computer Science | Best Researcher Award

Mr Prakhar Consul, Bennett University, India

Prakhar Consul is an Assistant Professor and Ph.D. candidate at Bennett University, specializing in Internet-of-Things, Mobile Edge Computing, and Deep Reinforcement Learning. He holds an M.Tech. in Electronics and Communication from Sharda University and a B.Tech. from Shobhit University. With a robust teaching background in subjects like Microprocessors and Embedded Systems, his research focuses on computational offloading and resource allocation for UAV-assisted Mobile Edge Computing in 5G networks. Prakhar has taught at Dewan V S Institute, Neelkanth Group of Institutions, and I A M R Group of Institutions. 🎓📡🤖📘

Publication profile

google scholar

Education

Dr. Prakhar Consul is a Ph.D. candidate in Computer Science Engineering at Bennett University, India, expected to complete in Nov. 2024. Their thesis focuses on computational offloading and resource allocation in mobile edge computing using machine learning in 5G networks 📡. They hold an M.Tech in Electronics and Communication from Sharda University (2015) with a thesis on microstrip patch antennas 📶. Dr. Prakhar Consul also has a B.Tech in Electronics and Communication from Shobhit University (2013) and completed their senior secondary education at J.A.S. Inter College 🏫. Their academic journey is marked by excellence and innovation in engineering and technology 💡.

Experience

Dr. Prakhar Consul served as an Assistant Professor in the Department of Electronics and Communication Engineering at Dewan V S Institute of Engineering and Technology (DVSIET), Meerut, India, from January 2020 to October 2021. Prior to this, they worked at Neelkanth Group of Institutions (NGI), Meerut, from August 2018 to January 2020 in the Department of Electronics and Electrical Engineering. From August 2015 to August 2018, they were part of the Department of Electronics and Communication Engineering at I A M R Group of Institutions, Meerut. Their extensive teaching experience highlights their dedication to education and engineering. 📚🔌👨‍🏫

Research focus

P. Consul’s research focuses on advancing wireless communication systems, with an emphasis on energy efficiency, security, and optimization in emerging technologies. His work includes developing innovative antenna designs, such as microstrip and U-slotted patch antennas, and enhancing energy-efficient schemes for mobile edge computing (MEC) using federated learning and reinforcement learning. He explores security in UAV-assisted systems, with solutions for secure computation and resource allocation in blockchain-assisted cyber-physical systems. His research also covers dual and triple band gap antennas and resource optimization strategies for digital twin-empowered UAV networks. 🚀📡🔐

Publication top notes

Triple band gap coupled microstrip U-slotted patch antenna using L-slot DGS for wireless applications

Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV

Power allocation scheme based on DRL for CF massive MIMO network with UAV

Security reassessing in UAV-assisted cyber-physical systems based on federated learning

Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network

FLBCPS: federated learning based secured computation offloading in blockchain-assisted cyber-physical systems

A review of different vulnerabilities of security in a layered network

A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0

A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For Future Wireless Network

Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Posted on 23/07/202424/07/2024 by ScienceFather

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Prof Dr. Anadolu University, Turkey

Dr. Mehlika Dilek Altıntop is a prominent Professor in Pharmaceutical Chemistry at Anadolu University. Her academic journey includes a Bachelor’s from Anadolu University, followed by a Master’s and Ph.D. in Pharmaceutical Chemistry from the same institution. She has served in various academic roles, including Research Assistant, Assistant Professor, and currently as a Professor. Her administrative roles include serving as Associate Director and Quality Coordinator at Anadolu University. Dr. Altıntop has received numerous awards for her research, including the Outstanding Woman Researcher Award and multiple Article Performance Awards. She is actively involved in editorial and guest editing roles in prestigious scientific journals and has supervised numerous master’s and doctoral dissertations in her field.

Professional profile

Scopus

Education 📚

Primary School: İkieylül Elementary School (1991-1996)Secondary School – High School: Eskişehir Anatolian High School (1996-2003)Undergraduate: Anadolu University, Faculty of Pharmacy (2003-2007)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2007-2009)Doctoral Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2009-2012)Languages: English (Excellent)

Academic Titles 🎓

Research Assistant: Anadolu University, Faculty of Pharmacy (2010-2012)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2012-2014)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2014-2015)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-2020)Professor Doctor: Anadolu University, Faculty of Pharmacy (2020-Present)Administrative Roles 🏛️Erasmus/Farabi/Mevlana Assistant Coordinator: Anadolu University Faculty of Pharmacy (2013-2014)Associate Director: Anadolu University Graduate School of Health Sciences (2014-2017, 2023)Quality Coordinator: Anadolu University Graduate School of Health Sciences (2022-2023)

Awards and Honors 🏆

Anadolu University Faculty of Pharmacy Championship Award (2007)The Scientific and Technological Research Council of Turkey Graduate Scholarship (2007-2009)Anadolu University Science and Technology Encouragement Award (2014)Anadolu University Gold & Platinum Article Performance Awards (2015)Outstanding Reviewer, European Journal of Medicinal Chemistry (2016)Turkish Pharmacists’ Association Academy of Pharmacy Encouragement Award (2019)ISIF’21 Silver Medal for “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Award of Outstanding Woman Researcher in Pharmaceutical Chemistry, VIWA 2021

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents
Authors: Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
Journal: ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents
Authors: Altıntop, M.D., Cantürk, Z., Özdemir, A.
Journal: ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy
Authors: Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
Journal: ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors
Authors: Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Journal: Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer
Authors: Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Journal: Drug Development Research, 2023, 84(2), pp. 185–199

Synthesis, In Silico and In Vitro Evaluation of New 3,5-Disubstituted-1,2,4-Oxadiazole Derivatives as Carbonic Anhydrase Inhibitors and Cytotoxic Agents
Authors: Kucukoglu, K., Faydali, N., Bul, D., Ozturk, B., Guzel, I.
Journal: Journal of Molecular Structure, 2023, 1276, 134699

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action
Authors: Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
Journal: International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency
Authors: Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal: Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Design, Synthesis, and Biological Evaluation of a New Series of Arylidene Indanones as Small Molecules for Targeted Therapy of Non-Small Cell Lung Carcinoma and Prostate Cancer
Authors: Altıntop, M.D., Özdemir, A., Temel, H.E., Kaplancıklı, Z.A., Akalın Çiftçi, G.
Journal: European Journal of Medicinal Chemistry, 2022, 244, 114851

A New Series of Thiosemicarbazone-Based Anti-Inflammatory Agents Exerting Their Action Through Cyclooxygenase Inhibition
Authors: Altıntop, M.D., Sever, B., Akalın Çiftçi, G., Alataş, Ö., Özdemir, A.
Journal: Archiv der Pharmazie, 2022, 355(9), 2200136

Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Posted on 23/07/202423/07/2024 by ScienceFather

Prof Dr. Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Prof Dr. Anadolu University, Turkey

Prof Dr. Ahmet Özdemir is a Professor of Pharmaceutical Chemistry at Anadolu University, holding several prestigious academic titles and administrative roles. With a strong educational foundation in pharmacy and pharmaceutical chemistry, they have supervised both master’s and doctoral theses. Their research has garnered numerous awards, including multiple Article Performance Awards and an ISIF’21 Silver Medal for their invention targeting lung cancer treatment. Dr. [Your Name] has authored significant research on synthesizing bioactive compounds, reflecting their expertise in pharmaceutical chemistry and dedication to advancing medicinal science. They are proficient in English and have an extensive international research profile, including ORCID and Scopus Author IDs.

Professional profile

Scopus

Orcid

Education 🎓

Primary School: Salihli Cumhuriyet Elementary School (1978-1983)Secondary School: Salihli 50. Yıl Secondary School (1983-1986)High School: Salihli High School (1986-1989)Undergraduate: Anadolu University, Faculty of Pharmacy (1990-1994)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1995-1996)Thesis Title: “The studies on the synthesis, structure elucidations and determination of physicochemical parameters of some 2-substituted-1H-phenantro[9,10-d]imidazole compounds”Supervisor: Prof. Dr. İlhan Işıkdağ, 02.09.1996Doctorate Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1996-2004)Thesis Title: “Synthesis of some 1-[(N,N-disubstituted-thiocarbonylthio)acetyl]-3-(2-thienyl)-5-aryl-2-pyrazoline derivatives and investigation of their antifungal, antibacterial activities”Supervisor: Prof. Dr. Gülhan Turan, 10.05.2004Foreign Languages: English (Intermediate)

Academic Titles 🏅

Research Assistant: Anadolu University, Faculty of Pharmacy (1997-2004)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2004-2005)Lecturer: Anadolu University, Faculty of Pharmacy (2005-2007)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2007-2010)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2010-2015)Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-present)

Administrative Tasks 🗂️

Associate Director: Anadolu University Yunus Emre Vocational School (2011-2014)Vice Academic Director: Anadolu University Open Education Faculty, Department of Health Administration (2015-present)

Awards 🏆

Anadolu University Article Performance Award (2014)Anadolu University Gold Article Performance Award (2015)Anadolu University Platinum Article Performance Award (2015)Anadolu University Article Performance Award (2016, 2017, 2018, 2020)Anadolu University Academic Success Award (2019)ISIF’21 Silver Medal: Invention titled “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Right Holder: Anadolu UniversityInventors: Assoc. Prof. Dr. Belgin Sever, Prof. Dr. Mehlika Dilek Altintop, Prof. Dr. Ahmet Ozdemir, Prof. Dr. Gülşen Akalın Çiftçi

Supervised Master Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Sevtem GökbulutDissertation Title: “Synthesis of new 5-chloro-6-methoxy-2-[4-(substituted)benzylidene]-2,3-dihydro-1H-inden-1-one derivatives and investigation of their biological effects”Date: 13/01/2017

Supervised Doctorate Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Muhammed KarabacakDissertation Title: “The Synthesis of New Pyrazoline Derivatives and The Investigation of Their Biological Activities”Date: 15/08/2016

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents

Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents

Altıntop, M.D., Cantürk, Z., Özdemir, A.
ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy

Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors

Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer

Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Drug Development Research, 2023, 84(2), pp. 185–199

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action

Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency

Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Naresh Kamble | Cyber Security | Best Researcher Award

Posted on 22/07/202423/07/2024 by ScienceFather

Mr. Naresh Kamble | Cyber Security | Best Researcher Award

D.Y.Patil Agriculture & Technical University, Talsande, Kolhapur, India

Naresh Kamble is an accomplished Assistant Professor at D.Y. Patil Agriculture & Technical University, Kolhapur, with extensive experience in teaching, research, and academic administration. He is pursuing his Ph.D. in Cyber Security and Machine Learning from VIT University, Bhopal, and has a strong track record of publications in reputed journals. Naresh has played a pivotal role in organizing workshops and providing consultancy for NBA accreditation, contributing significantly to the academic growth and development of various institutions. His research interests lie in the domains of cyber security, machine learning, and data security, with a focus on innovative and practical applications.

Professional profile

Education📚

Bachelor of Information Technology, Shivaji University, Kolhapur, 2010

M.E. in Computer Network, SPPU University, Pune, 2016

Ph.D. in Cyber Security and Machine Learning (Pursuing), VIT University, Bhopal, 2019-Present

Completed coursework with 8.00 CGPA and successfully completed the comprehensive examination.

Professional Experience🏛️

Naresh Kamble is a seasoned academic professional with over 13 years of experience in the field of Computer Science and Engineering. Currently, he serves as an Assistant Professor in the CSE (AR-VR & Multimedia) Department at D.Y. Patil Agriculture & Technical University, Talsande, Kolhapur, since May 2024. His academic journey includes significant roles such as:

Assistant Professor in the CSE (AIML & DS) Department at Kolhapur Institute of Technology (Feb 2023 – May 2024)
Lecturer in the CSE Department at Sanjay Ghodawat Polytechnic, Atigre (June 2014 – Feb 2023)
Assistant Professor in the CSE Department at Sanjay Ghodawat Institute (Dec 2011 – May 2014)
Lecturer in the IT Department at Sanjay Ghodawat Institute (Aug 2011 – Dec 2011)
Head of Department in the CSE Department at Vithal Patil Polytechnic, Sangli (July 2010 – June 2011)
Lecturer in the CSE Department at Govt. Polytechnic, Tasgaon (2010-2011)

Additionally, he has held significant administrative roles such as Central IT in-charge, NAAC team member, Central AKASH Coordinator, Central Feedback Coordinator, and Central NBA Coordinator. He has been actively involved in organizing workshops and providing consultancy for NBA accreditation, with several institutions achieving successful accreditation under his guidance.

Research Interest🌐

Naresh Kamble’s research primarily focuses on:

Cyber Security
Machine Learning
Image Processing
Data Security
Artificial Intelligence
Blockchain Technology

His ongoing Ph.D. research revolves around detecting phishing attacks using NLP and machine learning, for which he has received a copyright from the Government of India.

Author Metrics

Naresh Kamble has contributed to the academic community through various publications. Some of his notable works include:

A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement (Earth Science Informatics, 2023) – 5 Citations
Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records (International Journal of Intelligent Systems and Applications in Engineering, 2023) – 2 Citations
Content-Based Image Recovery System with the Aid of Median Binary Design Pattern (Traitement du Signal, 2023) – 2 Citations
Phishing Attack Detection using NLP and Machine Learning (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)
BHAS: A Blockchain-Based Healthcare Analytic System for Quality of Service Concerns in PHR (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)

Publication📜

An attainment tool for measuring course outcomes and program outcomes

SS Dandin, R Jinde, N Kamble
International Journal for Advance Research and Development, 3(3), 24-27, 2018
4 Citations

Hybrid optimization enabled squeeze net for phishing attack detection

N Kamble, N Mishra
Computers & Security, 144, 103901, 2024

Securing Cyberspace: Unveiling Phishing Attacks Through Deep Neural Networks for Enhanced Detection

N Kamble, N Mishra
2024 International Conference on Advancements in Smart, Secure and Sustainable Computing, 2024

BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns

S Rokade, N Mishra, N Kamble
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Phishing Attack Detection using NLP and Machine Learning

N Kamble, N Mishra, S Rokade
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Posted on 22/07/202422/07/2024 by ScienceFather

Prof. Dr. Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Dean International Division of Ajeenkya D Y Patil University, India

Prof. Dr. Vijayakumar Varadarajan holds a distinguished academic background, beginning with his undergraduate studies in engineering, where he achieved the Anna Award for First Rank at Vellore Engineering College, University of Madras (2000) 🎓🥇. He further excelled academically by securing a 100% result at SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📈🏆. His commitment to excellence continued through his Master’s studies, culminating in a PhD that propelled him into a career of impactful research and innovation. His academic journey reflects a blend of rigorous scholarship and outstanding achievements, setting a strong foundation for his extensive contributions to the field. 📚✨

Professional profile

Google Scholar.

Education📚

Professional Experience🏛️

Prof. Dr. Vijayakumar Varadarajan boasts an impressive professional career spanning over two decades, marked by significant contributions in both academia and industry. 🌟 With innovative managerial experience at various national and international institutions, he has skillfully advanced and executed strategies to realize organizational visions. His roles have included overseeing change management and facilitating performance improvements, which have strengthened teamwork and collaboration. 🌍🤝 Notably, he has been instrumental in mentoring through prestigious fellowships, such as those awarded to researchers from Universite Nangui Abrogoua and Landmark University by FICCI/DST India. 🌐🎓 His career also highlights his dedication to education, with roles that emphasize internal and external collaboration, grant management, and organizational development, all while striving to position organizations among the global elite. 💼📈

Research Interest🌐

Prof. Dr. Vijayakumar Varadarajan is deeply engaged in cutting-edge research within the realm of computer science and engineering. 💻🔬 His work focuses on advancing technologies and strategies in cloud computing ☁️, cybersecurity 🔒, and innovative managerial practices. His research interests also encompass the design and implementation of long-term strategies to enhance organizational effectiveness and drive impactful change. 🌟📈 With a commitment to fostering global collaborations, his research is geared towards leveraging expertise and resources to achieve top-tier results and contribute to the advancement of the field. 🌍🤝

Awards and Honors🏆

Prof. Dr. Vijayakumar Varadarajan has received numerous accolades throughout his distinguished career, underscoring his excellence and contributions to the field. 🏆✨ Among his notable honors are the CHARUSAT Research Paper Award (2023) 🎓🏅 and the Best Guest Editor Award from IJISC (2021) 📘🥇. His achievements in environmental and technological impact have been recognized with the Silver Award for Green Impact from UNSW, Australia (2020) 🌱🥈 and the Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️. Additionally, he has been celebrated for his contributions to cybersecurity literature 📘🔒 and honored as a European Alliance for Innovation Fellow (2019) 🤝🇪🇺. His early accomplishments include the Anna Award for First Rank at Vellore Engineering College (2000) 🎓🥇 and a series of awards at Mahindra Satyam and FORD India, highlighting his consistent dedication and excellence in his field. 👏🚗

Research skill🔬

Prof. Dr. Vijayakumar Varadarajan possesses exceptional research skills that have significantly impacted the fields of computer science and engineering. 🔬💻 His expertise includes advanced cloud computing ☁️, robust cybersecurity 🔒, and strategic management practices, showcasing his ability to drive innovation and tackle complex challenges. He excels in designing and implementing research strategies that promote organizational growth and technological advancements 🌟📈. His skills also extend to managing high-profile research projects, fostering international collaborations 🌍🤝, and ensuring transparency and efficiency in grant management 💼. With a keen focus on both theoretical and applied aspects of research, Dr. Varadarajan continues to contribute valuable insights and solutions to his field. 📊🔍

Achievements🏅

CHARUSAT Research Paper Award (2023) 🏆📜
Best Guest Editor Award from IJISC (2021) 🥇📘
LinkedIn Badge for Our K17 Green Team, UNSW, Australia (2020) 🌱🦘
Silver Award, Green Impact 2020, UNSW, Australia 🥈🌏
Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️
Appreciation for Cybersecurity Book in New K-12 Online Learning E-Book Collection, IGI Global (2020) 📘🔒
European Alliance for Innovation Fellow (2019) 🤝🇪🇺
Research Award, VIT Chennai (2014-2019) 🏅🎓
Best Faculty Award, VIT Chennai (2016) 🌟🏫
Outstanding Contribution Award, Design for Scientific Renaissance, UK (2018-2019) 🏆🇬🇧
Anna Award – First Rank, Vellore Engineering College, University of Madras (2000) 🎓🥇
100% Result Achievement, SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📊🏆
Bravo Award, Mahindra Satyam (2009) 👏🏆
Pat on Back Award, Mahindra Satyam (2010) 👏👏
Vendor Excellence Award, FORD India (2011) 🏅🚗
Honours Award, Department of Technical Education Diploma 🎖️📜
Centum in Mathematics, Secondary School Leaving Certificate 📈📊

Projects🛠️

Post Doctoral Inbound Fellowship for Mr. Yaya SORO 🌍🎓
- Institution: Université Nangui Abrogoua
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ikponmwosa Owen Evbuomwan 🌍🔬
- Institution: Landmark University, Nigeria
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ahmed Abbi Abdille 🌍🧪
- Institution: Somalia
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Coulibaly Hermann 🌍📚
- Institution: Université Nangui Abrogoua, Ivory Coast
- Sponsorship: FICCI/DST India
Certified for Marathon, Run for Vivek and Run with Vivekananda, Ferguson College, Pune (2023) 🏃‍♂️🏅

Publication📜

“A study on medical Internet of Things and Big Data in personalized healthcare system”
- Authors: V Jagadeeswari, V Subramaniyaswamy, R Logesh, V Vijayakumar
- Journal: Health Information Science and Systems
- Year: 2018
- Citations: 343
- Volume & Issue: 6 (1), 14
- Emojis: 🏥📊🔍
“Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system”
- Authors: M Poongodi, A Sharma, V Vijayakumar, V Bhardwaj, AP Sharma, R Iqbal, …
- Journal: Computers & Electrical Engineering
- Year: 2020
- Citations: 311
- Volume: 81, 106527
- Emojis: 💹🔗📉
“Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires”
- Authors: S Sudhakar, V Vijayakumar, CS Kumar, V Priya, L Ravi, …
- Journal: Computer Communications
- Year: 2020
- Citations: 257
- Volume & Pages: 149, 1-16
- Emojis: 🚁🔥🌲
“Random forest bagging and x‐means clustered antipattern detection from SQL query log for accessing secure mobile data”
- Authors: RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, …
- Journal: Wireless Communications and Mobile Computing
- Year: 2021
- Citations: 222
- Volume & Article: 2021 (1), 2730246
- Emojis: 🔍📊🔐
“Genetic algorithm based demand side management for smart grid”
- Authors: C Bharathi, D Rekha, V Vijayakumar
- Journal: Wireless Personal Communications
- Year: 2017
- Citations: 215
- Volume & Pages: 93, 481-502
- Emojis: ⚙️🌐💡
“Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics”
- Authors: M Poongodi, V Vijayakumar, F Al-Turjman, M Hamdi, M Ma
- Journal: IEEE Access
- Year: 2019
- Citations: 206
- Volume & Pages: 7, 158481-158491
- Emojis: 🚨🔒📊
“New York City taxi trip duration prediction using MLP and XGBoost”
- Authors: M Poongodi, M Malviya, C Kumar, M Hamdi, V Vijayakumar, J Nebhen, …
- Journal: International Journal of System Assurance Engineering and Management
- Year: 2022
- Citations: 203
- Volume & Pages: 1-12
- Emojis: 🚖⏱️📊
“5G based Blockchain network for authentic and ethical keyword search engine”
- Authors: M Poongodi, M Malviya, M Hamdi, V Vijayakumar, MA Mohammed, …
- Journal: IET Communications
- Year: 2022
- Citations: 195
- Volume & Pages: 16 (5), 442-448
- Emojis: 📱🔗🔍
“Random forest for big data classification in the internet of things using optimal features”
- Authors: SK Lakshmanaprabu, K Shankar, M Ilayaraja, AW Nasir, V Vijayakumar, …
- Journal: International Journal of Machine Learning and Cybernetics
- Year: 2019
- Citations: 183
- Volume & Pages: 10 (10), 2609-2618
- Emojis: 📊🌐🔍
“Bitcoin price prediction using ARIMA model”
- Authors: M Poongodi, V Vijayakumar, N Chilamkurti
- Journal: International Journal of Internet Technology and Secured Transactions
- Year: 2020
- Citations: 177
- Volume & Issue: 10 (4)
- Emojis: 💵📉🔮
“The state of the art of deep learning models in medical science and their challenges”
- Authors: C Bhatt, I Kumar, V Vijayakumar, KU Singh, A Kumar
- Journal: Multimedia Systems
- Year: 2021
- Citations: 163
- Volume & Pages: 27 (4), 599-613
- Emojis: 🧠💉🔍
“A personalised movie recommendation system based on collaborative filtering”
- Authors: V Subramaniyaswamy, R Logesh, M Chandrashekhar, A Challa, …
- Journal: International Journal of High Performance Computing and Networking
- Year: 2017
- Citations: 156
- Volume & Issue: 10 (1-2)
- Emojis: 🎬🤝📈