Göktuğ Öcal | Network Systems | Best Researcher Award

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Mr. Göktuğ Öcal | Network Systems | Best Researcher Award

Göktuğ Öcal at Bogazici University, Turkey

Mr. Göktuğ Öcal is a skilled data scientist and computer engineer with expertise in machine learning, time series forecasting, and AI-driven solutions. He holds an MSc in Computer Engineering from Boğaziçi University, where he focused on developing robust time series forecasting models and explored federated neural architecture search. His academic journey began with a BSc in Control and Automation Engineering from Istanbul Technical University, where he volunteered in AI research and led student robotics initiatives. In his professional career, Mr. Öcal has made significant contributions to the air conditioning, automotive, and energy management industries by developing predictive maintenance systems, driver evaluation algorithms, and energy-saving models. His technical proficiency includes Python, TensorFlow, SQL, and cloud platforms, enabling him to build scalable machine learning solutions. Beyond his professional work, he has a deep interest in cinema, communication, and graphical design, which he pursues through personal projects and blogging.

Profile:

Education:

Mr. Göktuğ Öcal holds an MSc in Computer Engineering from Boğaziçi University, Istanbul, where he studied from 2021 to 2024. His coursework included advanced subjects such as Deep Learning, Testing and Verification Techniques in Machine Learning, Natural Language Processing, Cloud Computing, and Operating Systems. During his studies, he conducted research on “Robust Time Series Forecasting Models against Adversarial Attacks,” which led to the development of LSTM-based robust forecasting models. His thesis focused on “Network-Aware Federated Neural Architecture Search,” showcasing his deep engagement with cutting developmments in the field. Before this, Mr. Öcal completed his BSc in Control and Automation Engineering from Istanbul Technical University in 2020. During his undergraduate studies, he volunteered at the Artificial Intelligence and Intelligent Systems Laboratory (AI2S) for two years, where he focused on robotics and AI-based time-series forecasting models. He also actively contributed to the OTOKON student club, where he organized robotics and coding courses and events.

Professional Experience:

Mr. Göktuğ Öcal has a rich professional background in data science, with experience spanning several key industries. In 2024, he worked as a Data Scientist at Daikin Europe, where he developed machine learning-powered predictive maintenance systems for residential air conditioning units and implemented MLOps pipelines using AWS and Databricks. From 2022 to 2024, he was a Data Scientist at Ford Otosan, a leading automotive manufacturer, where he created a driver evaluation algorithm using Python and PySpark to assess and train fleet drivers. He also served as a Scrum Master for the Data Analytics Center of Excellence (CoE), overseeing the development, coding, and deployment processes. Earlier, from 2020 to 2022, Mr. Öcal was a Data Scientist at Reengen, a company specializing in sustainability and energy management. There, he developed a time series analysis algorithm that identified energy-saving opportunities during non-operating hours for retail businesses, leading to an average energy cost reduction of 7%. He also enhanced operational efficiency by reducing the workload of customer teams by 40% through the implementation of advanced energy analysis tools and anomaly detection algorithms for IoT devices. His career began as a Data Science Assistant at Reengen, where he developed LSTM-based time series forecasting models to predict energy consumption across various sectors with a 6% error margin.

Research Interests:

Mr. Göktuğ Öcal’s research interests lie at the intersection of machine learning, time series forecasting, and AI-driven optimization techniques. He is particularly focused on developing robust models that can withstand adversarial attacks, as demonstrated by his work on LSTM-based time series forecasting. His interests also extend to federated learning, where he has explored network-aware federated neural architecture search to optimize distributed machine learning models. Additionally, Mr. Öcal is keen on advancing predictive maintenance systems, anomaly detection algorithms, and energy management solutions through the application of data science and machine learning methodologies. His work reflects a strong commitment to bridging the gap between theoretical research and practical, industry-relevant applications.

Skills:

Mr. Göktuğ Öcal is proficient in a diverse array of technical skills that are essential for data science and machine learning. He is highly skilled in programming languages such as Python, SQL, C++, MATLAB, and Java, and has extensive experience with machine learning frameworks like TensorFlow and Scikit-Learn. His expertise extends to big data and distributed computing, where he utilizes tools like PySpark and Databricks for processing large datasets. Mr. Öcal is also adept at time series analysis, statistical modeling, and implementing software development practices such as object-oriented programming and MLOps. His cloud computing skills are highlighted by his experience with AWS, and he is well-versed in using development tools like Git, Docker, Jupyter, and VS Code. Additionally, he holds certifications in Big Data with PySpark and SQL Fundamentals from Datacamp, and in Machine Learning from Stanford University on Coursera. Proficient in English, Mr. Öcal achieved an IELTS score of 7.0/9.0 in 2021, further demonstrating his strong communication abilities.

Conclution:

Given his solid academic background, demonstrated research abilities, and impact-driven professional experience, Mr. Göktuğ Öcal would be a compelling candidate for a research-focused award, particularly if the focus is on practical applications in data science and machine learning.

Publication Tob Noted:

Title: Network-aware federated neural architecture search

  • Authors: G. Öcal, A. Özgövde
  • Published In: Future Generation Computer Systems
  • Year: 2024

Mohammad Alauthman | Detection | Excellence in Research

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Assist Prof Dr. Mohammad Alauthman | Detection | Excellence in Research

Assistant Professor at Information Security Department, University of Petra, Jordan

Dr. Mohammad Alauthman is an accomplished academic with a focus on cybersecurity and network security. Currently serving as an Assistant Professor at Petra University in Amman, Jordan, since 2020, Mohammad teaches a variety of courses in the Department of Information Security, including topics such as SOC analyst, Ethical Hacking, and Digital Forensics Investigation. Prior to this role, Mohammad was an Assistant Professor at Zarqa University from 2016 to 2020, where they taught courses in computer science, including Advanced Information and Networks Security and Introduction to Cybersecurity. Mohammad’s research interests lie in the application of artificial intelligence to cybersecurity, particularly in areas such as botnet detection, DDoS detection, and spam email detection. They have received grants for several research projects, demonstrating their dedication to advancing knowledge in their field. Mohammad’s academic background and teaching experience make them a valuable asset to the academic community, contributing to both research and education in the field of cybersecurity.

Profile

Education

Dr. Mohammad Alauthman is an Assistant Professor with a strong background in computer science and a specialization in network security. They earned their Ph.D. in Computer Science from Northumbria University at Newcastle, UK, in 2016, with a focus on Network Security. Their doctoral thesis, titled “An Efficient Approach to Online Bot Detection Based on a Reinforcement Learning Technique,” demonstrates their expertise in this field. Prior to their Ph.D., Mohammad completed a Master’s degree in Computer Science from Amman Arab University, Jordan, in 2005, and a Bachelor’s degree in Computer Science from Hashemite University, Jordan, in 2002. Mohammad’s academic journey has equipped them with a comprehensive understanding of computer science principles, particularly in the realm of network security.

Experience:

Dr. Mohammad Alauthman has a wealth of experience in academia, holding key positions at various institutions. Since 2021, they have served as the Chairman of the Information Security department at the Faculty of Information Technology, University of Petra, Amman, Jordan. Mohammad has also been a Full-time Assistant Professor in the Department of Information Security at the same university since 2020. Prior to their current role, Mohammad was the Chairman of the Internet Technology department and an Assistant Professor at the Faculty of Information Technology, Zarqa University, Jordan, from 2018 to 2020. Before that, they were a Full-time Assistant Professor in the Computer Science Department at Zarqa University from 2016 to 2018. Mohammad’s academic career also includes positions as a Lecturer in the Department of Computer Science and Information at Majmmah University, Saudi Arabia, from 2008 to 2012, and as a Lecturer at Al-Balqa Applied University, Jordan, from 2007 to 2008. These roles have provided Mohammad with a diverse range of experiences in academia, contributing to their expertise in computer science and information security.

Research Interest:

Dr. Mohammad Alauthman’s research interests are primarily focused on cybersecurity and network security, with a particular emphasis on cross-layered solutions for intrusion detection systems. Their central research revolves around the use of artificial intelligence for early botnet detection, DDoS detection, spam email detection, Internet of Things (IoT) security, and network traffic classification. In addition to their work in cybersecurity, Mohammad also has research interests in healthcare, specifically in the areas of skin cancer detection, diabetic retinopathy, and pain intensity assessment, utilizing deep learning techniques. Their research projects are interdisciplinary and aimed at addressing real-life problems, reflecting their commitment to advancing knowledge and solving practical challenges in these fields.

Grants:

Dr. Mohammad Alauthman has received several grants to support their research in cybersecurity and network security. In 2022, they were awarded a grant from the Dean of Scientific Research at the University of Petra (UoP) for a project titled “Forecasting Citation Counts Using Deep Recurrent Neural Network Techniques.” In 2021, Mohammad received a grant from Al-Balqa Applied University for a project focused on “Darknet Traffic Identification Using Max Voting Algorithms.” Prior to that, in 2019, they received another grant from Al-Balqa Applied University for their work on “Fast Flux Botnet Catcher Approach (FFBCA).” At Zarqa University (ZU), Mohammad received grants from the Dean of Scientific Research for two projects. In 2017, they received a grant for a project titled “P2P Bot Detection Using Deep Learning with Traffic Reduction Schema.” In 2018, Mohammad received a grant for a project titled “Botnet Spam Email Detection Using Deep Recurrent Neural Network.” These grants highlight Mohammad’s dedication to advancing research in cybersecurity and network security, focusing on innovative approaches to detect and mitigate threats.

Teaching Experience:

Dr. Mohammad Alauthman has been serving as an Assistant Professor at Petra University in the Department of Information Security, Faculty of Information Technology, Amman, Jordan, since 2020. In this role, they teach a range of courses covering topics such as SOC analyst, Ethical Hacking, Intrusion Detection System, Digital Forensics Investigation, Database Security, E-commerce Environment Security, Information and Network Security, Wireless Networks, and Introduction to Data Communication & Networking. Prior to joining Petra University, Mohammad was an Assistant Professor at Zarqa University in the Department of Computer Science, Faculty of Information Technology, Zarqa, Jordan, from 2016 to 2020. During their tenure at Zarqa University, Mohammad taught courses including Advanced Information and Networks Security (Master Level), Introduction to Cybersecurity, Introduction to Machine Learning, Networks, Artificial Intelligence, Special Languages in CS II (Python), Information Retrieval, Programming Language I (Java), Concepts of Programming Languages, Research Methodology and Ethics, and Advanced Programming Language (C#). These positions highlight Mohammad’s expertise in teaching a wide range of topics related to computer science and information security.

Publications:

  1. IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
    • Authors: A Al-Qerem, M Alauthman, A Almomani, BB Gupta
    • Citations: 244
    • Year: 2019
  2. An efficient reinforcement learning-based Botnet detection approach
    • Authors: M Alauthman, N Aslam, M Al-Kasassbeh, S Khan, A Al-Qerem, KKR Choo
    • Citations: 131
    • Year: 2020
  3. A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks
    • Authors: M Alauthaman, N Aslam, L Zhang, R Alasem, MA Hossain
    • Citations: 129
    • Year: 2018
  4. Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study
    • Authors: A Almomani, M Alauthman, MT Shatnawi, M Alweshah, A Alrosan
    • Citations: 120
    • Year: 2022
  5. DNS rule-based schema to botnet detection
    • Authors: K Alieyan, A Almomani, M Anbar, M Alauthman, R Abdullah, BB Gupta
    • Citations: 113
    • Year: 2021
  6. Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
    • Authors: A Alsarhan, M Alauthman, E Alshdaifat, AR Al-Ghuwairi, A Al-Dubai
    • Citations: 49
    • Year: 2023
  7. Feature selection using a machine learning to classify a malware
    • Authors: M Al-Kasassbeh, S Mohammed, M Alauthman, A Almomani
    • Citations: 49
    • Year: 2020
  8. An online intrusion detection system to cloud computing based on NeuCube algorithms
    • Authors: A Almomani, M Alauthman, F Albalas, O Dorgham, A Obeidat
    • Citations: 43
    • Year: 2018
  9. Machine learning for phishing detection and mitigation
    • Authors: M Alauthman, A Almomani, M Alweshah, W Alomoush, K Alieyan
    • Citations: 28*
    • Year: 2019
  10. Botnet Spam E-Mail Detection Using Deep Recurrent Neural Network
    • Authors: M ALAUTHMAN
    • Citations: 26
    • Year: 2020

 

Jingquan Li | Records | Best Researcher Award

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Dr. Jingquan Li | Records | Best Researcher Award

Associate Professor at Hofstra University, United States

Dr. Jingquan Li is a distinguished academic with a broad range of expertise in computer science, business administration, and information technology. Dr. Li’s academic journey includes a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, a Master of Science in Manufacturing Management from the College of Business and Innovation at the University of Toledo, and a Bachelor of Engineering in Computer Engineering from Xi’an Jiaotong University. With over a decade of experience in academia, Dr. Li has held various teaching positions, including Associate Professor at Hofstra University, Tenured Associate Professor at Texas A&M University-San Antonio, and Assistant Professor at both Texas A&M University-San Antonio and Texas A&M University-Kingsville. Dr. Li’s teaching portfolio includes a diverse range of courses such as Information Systems in Organizations, Business Analytics, and Data Mining and Text Mining.

Profile:

Education

Dr. Jingquan Li holds a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, earned in 2004. Prior to this, Dr. Li completed a Master of Science in Manufacturing Management at the College of Business and Innovation, University of Toledo, in 1997. Dr. Li’s academic journey began with a Bachelor of Engineering in Computer Engineering from the School of Electronic and Information Engineering at Xi’an Jiaotong University, obtained in 1987. Dr. Li’s educational background reflects a strong foundation in both business administration and computer science, with a focus on information systems, artificial intelligence, and data science.

Work Experience:

Dr. Jingquan Li has an extensive academic and professional background. Since September 2017, Dr. Li has served as an Associate Professor at Hofstra University in New York. Prior to joining Hofstra, from September 2010 to August 2017, Dr. Li held the position of Tenured Associate Professor at Texas A&M University-San Antonio in Texas. Before achieving tenure, Dr. Li was an Assistant Professor at Texas A&M University-San Antonio from September 2009 to August 2010 and at Texas A&M University-Kingsville from September 2004 to August 2009. Dr. Li’s academic positions are complemented by substantial professional experience as a Computer Engineer at the North China Institute of Computing Technology in Beijing, China, from 1987 to 1995. This combined background has equipped Dr. Li with a comprehensive understanding of both academia and industry, enriching their teaching and research endeavors.

Teaching Interest:

Dr. Jingquan Li’s teaching portfolio encompasses a wide array of courses focused on computer concepts and software tools in business. These include courses such as Information Systems in Organizations, Business Analytics, Database Management, Systems Analysis and Design, Big Data Management, Data Mining and Text Mining, Data Visualization, Machine Learning and Deep Learning, Enterprise Systems, Telecommunications and Networking, Information Security and Privacy, Cyber Security, Programming Languages, and Health Informatics. Dr. Li’s expertise in these areas is underpinned by their academic background and professional experience, making them a versatile and knowledgeable educator in the field of computer science and business administration.

Research Interest:

Dr. Jingquan Li’s expertise extends across a broad spectrum of specialized topics within the realm of computer science and business administration. Dr. Li’s proficiency includes Information Security and Privacy, Cybersecurity, Business Analytics, Big Data Management, Data Mining and Text Mining, Online Social Networks, Health Information Technology, AI Ethics, public health management and policy, and the Economics of Information Sharing. This diverse range of subjects underscores Dr. Li’s comprehensive understanding of the intersection between technology and business, making them a valuable resource in academia and beyond.

Research and Grants:

Dr. Jingquan Li has secured a diverse range of grants and research funding throughout their career, demonstrating a strong commitment to advancing knowledge in various fields. These include upcoming projects such as “The Health Benefits and Social Effects of Exercise Games” funded by the Agency for Health Research and Quality, as well as past endeavors like “Ensuring Privacy of Personal Health Records (PHRs): A Health Record Trust Architecture” funded by the Texas Area 41 Institute, where Dr. Li served as the Principal Investigator. Other notable projects led by Dr. Li include “Students’ and Faculty’s Perceptions of Hybrid Courses: A Comparative Study,” which received funding from the Texas A&M University-San Antonio Research Award in 2009-2010. Additionally, Dr. Li has been involved in projects such as “Privacy-Enhancing Data Mining” at Texas A&M University-Kingsville in 2007 and “Business Measurement for Fraud Detection with Privacy Protection” funded by KPMG LLP and the KPMG Foundation in 2004. Dr. Li’s collaborative efforts have also been recognized, as seen in projects like “On the Development and Quantification of Privacy-Enhancing Data Mining Methods” and “Supply Chain Management: A Multi-Agent Approach,” both of which were Research Board Award recipients at the University of Illinois, where Dr. Li served as a Co-Principal Investigator with Michael Shaw as the Principal Investigator. Another notable collaboration was with Motorola Inc. on “Information Technology for Managing Global Supply Chain Networks,” which was funded through the Motorola Manufacturing Systems Research Grant in 1999.

Awards and Honors:

Dr. Jingquan Li has been recognized with several prestigious awards and honors for their outstanding contributions to teaching and scholarship. In 2010, Dr. Li received the College of Business Faculty Excellence in Teaching Award from Texas A&M University-San Antonio, acknowledging their exceptional skills in educating students. Additionally, Dr. Li was twice honored with the College of Business Faculty Excellence in Scholarship Award, in both 2010 and 2009, highlighting their significant contributions to research and academic scholarship. Dr. Li’s dedication to excellence in academia is further underscored by the Seymour Sudman Award, which they received in 1999 and 1998. This award recognizes individuals who have demonstrated excellence in research methodology and survey statistics, reflecting Dr. Li’s commitment to advancing knowledge in their field. Furthermore, Dr. Li was the recipient of the College of Commerce Fellowship at the University of Illinois at Urbana-Champaign in 1998, further highlighting their academic prowess and dedication to scholarly pursuits.

 

Nagarathna Annappa | Cyber Laws | Best Researcher Award

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Dr. Nagarathna Annappa, Cyber Laws, Best Researcher Award

Doctorate at National Law School Of India University, India, Indonesia

Dr. Nagarathna Annappa is a distinguished legal scholar and educator renowned for her expertise in various domains of law. She holds a Ph.D. in Law from Gulbarga University, specializing in “Medical Negligence and Consumer Laws.” Currently, she is pursuing an LL.D. (Doctor of Laws) in a Post-Doctoral Study at NLSIU, Bengaluru, focusing on “Investigation And Prosecution Of Cybercrimes In India – Jurisprudential Explication.”

Dr. Annappa’s academic journey includes an LL.M. in Commercial Law and a BA.L., LL.B., both from Bangalore University, where she excelled by securing first rank in both programs and receiving five gold medals. Additionally, she has augmented her qualifications with additional certifications in areas such as cyber laws, computers, and industrial relations.

profile

Education

  • LL.D. (Doctor of Laws): Currently pursuing a Post-Doctoral Study in Law at NLSIU, Bengaluru, focusing on “Investigation And Prosecution Of Cybercrimes In India – Jurisprudential Explication”.
  • Ph.D. in Law: Earned from Gulbarga University in 2012, with a dissertation on “Medical Negligence and Consumer Laws”.
  • LL.M. in Commercial Law: Obtained from Bangalore University, Bangalore, in 2001.
  • BA.L., LL.B.: Awarded from Bangalore University, Bangalore, in 1999, where Dr. Anappa achieved first rank in both programs and received five gold medals.
Professional Experience

Dr. Nagarathna Annappa has amassed a rich and diverse teaching experience in the field of law since 1999. Her notable positions include serving as a Faculty of Law at NLSIU, Bengaluru, since November 2006. Prior to this, she worked as a full-time Lecturer in Law at K.L.E. Society’s Law College, Rajajinagar, Bangalore, from August 2001 to October 2006, and as a part-time Lecturer in Law at Islamia Law College, Bangalore, from June 1999 to March 2001.

Throughout her career, Dr. Annappa has been actively engaged in delivering lectures and conducting courses on various legal subjects. She has delivered guest lectures on topics such as cyber laws, terrorism, and legal frameworks concerning human rights at esteemed institutions both nationally and internationally. Notably, she delivered lectures at National Law University, Assam, and Manitoba University, Winnipeg, Canada.

Dr. Annappa’s dedication to legal education extends beyond traditional classroom settings. She has been involved in teaching Cyber Law subjects to scholars pursuing PG Diplomas in Cyber Laws and Cyber Forensics at NLSIU for five years. Additionally, she has delivered lectures in contact classes for post-graduate students of law and conducted courses on legal research, intellectual property rights, and legal education for various academic programs.

Her international engagements include visiting the University of Sao Paulo’s Law School and other prestigious institutions in Brazil. During her visit, she delivered guest lectures on Indian cyber laws, privacy, and data protection laws. Dr. Annappa’s extensive teaching experience and commitment to legal education have made her a respected figure in the field of law both domestically and internationally.

Research Interests

Dr. Nagarathna Annappa’s teaching and research interests encompass a wide range of legal domains, including Criminal Laws, Cyber Laws, Data Privacy Laws, Technology Laws, Medical Laws, Criminology, and Laws Relating to Women and Children. She demonstrates a commitment to addressing contemporary legal challenges and contributing to the development of legal scholarship in areas critical to society’s well-being.

In addition to her teaching and research pursuits, Dr. Anappa has undertaken various research and training projects. Notably, she designed and conducted the first 6-day Management Development Program on Cyber Laws in collaboration with the Army Training Command (ARTRAC). This program, conducted from June 5th to 10th, 2023, catered to officers from the Indian Army and was facilitated through the Professional & Continuing Education (PACE) division at the National Law School of India University, Bengaluru. Through initiatives like these, Dr. Anappa actively engages in practical applications of legal knowledge and contributes to the professional development of legal practitioners and stakeholders.

Publications 

“Consumer Protection Act 2019-A Review of Criminal Sanctions Protecting Consumers”

  • Author: A Nagarathna
  • Published in: IJCLP (International Journal of Comparative Legal Perspectives)
  • Volume: 8
  • Page: 23
  • Year: 2020

“Criminalization of Beggary: A Critical Look at the Indian Legal Approach”

  • Author: A Nagarathna
  • Published in: Global Criminology
  • Pages: 258-279
  • Year: 2013

“Cyber crime laws-A handbook Vol. I”

  • Author: A Nagarathna
  • Published by: Advanced Centre on Research, Development and Training in Cyber Laws
  • Year: 2016

“Internet intermediaries and legal liability”

  • Author: A Nagarathna
  • Published by: Advanced Centre on Research, Development and Training in Cyber Laws
  • Year: 2015

“Combatting cyber crimes–existing indian legal and institutional framework”

  • Author: A Nagarathna
  • Published in: VIDHIGYA: The Journal of Legal Awareness
  • Volume: 8
  • Issue: 1
  • Pages: 81-92
  • Year: 2013

“Reformative and Punitive Theories of Punishment in India: A Critical Analysis (With Special Reference to Bengaluru

  • Prison Institutions)”
  • Authors: RS Naik, A Nagarathna
  • Published by: National Law School of India University, Bangalore
  • Year: 2023

Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

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Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Assistant Professor at Intrusion Detection and Prevention, The National Institute of Engineering, Mysuru, India

Sharmila B S is currently pursuing a Ph.D. focusing on Network Security for IoT devices. Their research interests primarily lie in Network Security, Internet of Things (IoT), and Artificial Intelligence (AI). With 7 years of combined teaching and industry experience, Sharmila has also delivered talks on Python, AI, and IoT for technical talks and workshops.

Professional profiles

🎓Education:

Sharmila B S completed their academic qualifications as follows: a Ph.D. from the Department of ECE at the National Institute of Engineering, Mysuru, under Visweshwaraiah Technological University in 2018; an MTech in VLSI Design & Embedded Systems from SJCE, Mysore; and a BE in E&C from Kalpataru Institute of Technology, Tiptur, both under Visweshwaraiah Technological University, obtained in 2013 and 2011 respectively.

👩‍🏫Professional Experience:

Sharmila B S has professional experience as an Assistant Professor at the National Institute of Engineering, Mysuru, from July 25, 2016, to the present. Prior to this, they worked as a Lecturer at the same institute from July 27, 2015, to June 26, 2016. Before joining the National Institute of Engineering, Sharmila was an Assistant Professor at PESITM, Shivamogga, from July 21, 2014, to June 30, 2015. They also have internship experience at LG Soft India, Bangalore, from July 11, 2012, to December 31, 2013.

Subjects Taught:

Sharmila B S has taught a range of subjects, including Internet of Things, Data Structures using C++, Information Theory and Network Security, Embedded Systems, and Fundamentals of CMOS VLSI.

Publications:

“Intrusion Detection System using Naive Bayes algorithm” by BS Sharmila, R Nagapadma, published in the 2019 IEEE International WIE Conference on Electrical and Computer, with 24 citations in 2019.

“Comparison of time complexity in median filtering on multi-core architecture” by BS Sharmila, N Kaulgud, published in the 2017 3rd International Conference on Advances in Computing, Communication, with 2 citations in 2017.

“Multi Core DNN based IDS for Botnet Attacks using KPCA Reduction Techniques” by BS Sharmila, R Nagapadma, published in 2021.

“Design of memristor based multiplier” by N Jagan, U NS, S Kouser, published in the International Research Journal of Engineering and Technology, 6(1), 2019.

“Optimizing Deep Learning Networks for Edge Devices with an Instance of Skin Cancer and Corn Leaf Disease Dataset” by BS Sharmila, HS Santhosh, S Parameshwara, MS Swamy, WH Baig, published in SN Computer Science, 4(6), 793, 2023.

“QAE-IDS: DDoS anomaly detection in IoT devices using Post-Quantization Training” by BS Sharmila, R Nagapadma, published in Smart Science, 11(4), 774-789, 2023.

“Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset” by BS Sharmila, R Nagapadma, published in Cybersecurity, 6(1), 41, 2023.

“P‐DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities” by S BS, R Nagapadma, published in Security and Privacy, e330, 2023.

“KNN classification using multi-core architecture for intrusion detection system” by BS Sharmila, R Nagapadma, published in the Communication and Computing Systems: Proceedings of the 2nd International Conference.

 

 

Iddrisu Salifu | Artificial Intelligence | Best Researcher Award

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Mr. Iddrisu Salifu, Artificial Intelligence, Best Researcher Award

 Iddrisu Salifu at University of Cape Coast, Ghana

Mr. Iddrisu Salifu is a multidisciplinary researcher with a keen focus on coastal zone management, cardiometabolic epidemiology, and economic development. He holds a Master of Philosophy in Integrated Coastal Zone Management and another in Economics, reflecting his diverse academic background. Currently serving as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL), University of Cape Coast, Mr. Salifu actively contributes to investigating epidemiological aspects of cardiometabolic diseases while overseeing data collection, analysis, and manuscript preparation efforts. Additionally, he serves as a Tutor at the Institute of Education Sandwich Programme, where he teaches undergraduate economics courses. With a wealth of experience in field research, Mr. Salifu has collaborated on various projects focusing on coastal resilience, fisheries management, and economic development, demonstrating his commitment to addressing pressing societal issues. His dedication to research and his interdisciplinary approach underscores his efforts to advance knowledge and contribute to sustainable development initiatives.

Education:

  • Master of Philosophy (MPhil) in Integrated Coastal Zone Management, Africa Centre of Excellence in Coastal Resilience (ACECoR), University of Cape Coast, 2020-2022.
  • Master of Philosophy (MPhil) in Economics, University of Cape Coast, Ghana, 2017-2019.
  • Bachelor of Arts (BA) in Economics and Geography, University of Cape Coast, 2011-2015.

Profile:

 

Work Experience:

  • Research Scientist: Cardiometabolic Epidemiology Research Laboratory (CERL), Department of Health, Physical Education and Recreation (HPER), University of Cape Coast, July 2023-Present.
  • Tutor: Institute of Education Sandwich Programme, University of Cape Coast, August 2022-Present.
  • Assistant Secretary: African Science Frontiers Initiative (ASFI) Ambassadors, June 2022-Present.
  • Graduate Research Fellow: Chamber for Tourism Industry Ghana (CTI Ghana), August 2020-Present.
  • Field Research Assistant in various projects.

Skills & Competencies:

  • Technical Skills: STATA, R, SPSS, SQL, Excel, Microsoft Word, PowerPoint, Jamovi, JASP.
  • Transferable Skills: Project Management, Teamwork, Leadership, Strategic Thinking, Research Skills, Time Management, Communication, Problem-Solving, Analytical, Innovative, and Creative Mindset.

Honours & Awards:

  • World Bank’s Africa Centre of Excellence Scholarship, December 2020-Present.
  • Sustainable Ocean Alliance (SOA) Microgrant Winner, 2021.
  • CDO’s Power to the Fisher’s Project Microgrant Winner, 2021.

Professional Experience:

Mr. Iddrisu Salifu has accumulated diverse professional experiences across research, academia, and project management. Currently, he serves as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL) within the Department of Health, Physical Education, and Recreation (HPER) at the University of Cape Coast. In this role, he plays a pivotal role in devising strategies and plans to investigate epidemiological aspects of cardiometabolic diseases. His responsibilities include overseeing data collection, analysis, and manuscript preparation efforts, as well as supporting research funding efforts by writing grant proposals to secure resources for research projects.

In addition to his research role, Mr. Salifu also contributes to academia as a Tutor at the Institute of Education Sandwich Programme, University of Cape Coast. Here, he teaches various courses in economics at the undergraduate level, leveraging his academic background and expertise to educate and mentor students.

Furthermore, Mr. Salifu has served as an Assistant Secretary for the African Science Frontiers Initiative (ASFI) Ambassadors, where he plays a crucial role in fostering excellence in Africa’s science through competence acquisition, capacity building, and career development initiatives. Additionally, he serves as a Graduate Research Fellow at the Chamber for Tourism Industry Ghana (CTI Ghana), where he is involved in deciding on research programs and methodologies in collaboration with colleagues.

With his extensive experience as a Field Research Assistant on various projects related to agriculture, economics, and education, Mr. Salifu has demonstrated his ability to organize, supervise, and assist in data collection efforts, contributing valuable insights to research initiatives.

Research Interests:

Mr. Iddrisu Salifu’s research interests lie at the intersection of various disciplines, primarily focusing on coastal zone management, cardiometabolic epidemiology, and economic development. He is particularly interested in exploring strategies for enhancing the resilience of coastal communities to environmental hazards and climate change impacts. Additionally, his research delves into the epidemiological aspects of cardiometabolic diseases, aiming to understand their prevalence, risk factors, and public health implications. Furthermore, Mr. Salifu is passionate about examining economic development policies and their effects on sustainable tourism, fisheries management, and environmental conservation. Through his work, he aims to contribute to evidence-based decision-making processes and foster socio-economic development that is both inclusive and environmentally sustainable.

publications:

Title: Monetary policy and macroeconomic indicators: A review of a developing country’s perspectives 2002–2017

  • Authors: SAE Mbilla, PA Atindaana, SG Gadzo, A Adeniyi, I Salifu
  • Journal: Cogent Economics & Finance
  • Volume: 9
  • Issue: 1
  • Pages: 1935530
  • Year: 2021

Title: Partner alcohol consumption and intimate partner violence against women in sexual unions in sub-Saharan Africa

  • Authors: RG Aboagye, BO Ahinkorah, CL Tengan, I Salifu, HY Acheampong
  • Journal: PLoS one
  • Volume: 17
  • Issue: 12
  • Pages: e0278196
  • Year: 2022

Title: Digital paradigm shift: Unraveling students’ intentions to embrace Tablet-based Learning through an extended UTAUT2 model

  • Authors: F Arthur, V Arkorful, I Salifu, S Abam Nortey
  • Journal: Cogent Social Sciences
  • Volume: 9
  • Issue: 2
  • Pages: 2277340
  • Year: 2023

Title: Effect of household water treatment on under-five diarrhoea in Ghana

  • Author: I Salifu
  • Institution: University of Cape Coast
  • Year: 2020

Title: Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

  • Authors: I Salifu, F Arthur, V Arkorful, S Abam Nortey, R Solomon Osei-Yaw
  • Journal: Cogent Social Sciences
  • Volume: 10
  • Issue: 1
  • Pages: 2300177
  • Year: 2024

Title: Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

  • Authors: RSOY Iddrisu Salifu, Francis Arthur, Valentina Arkorful, Sharon Abam Nortey
  • Journal: Cogent Social Sciences
  • Volume: 10
  • Issue: 1
  • Pages: 28
  • Year: Undisclosed

Mohammad Eyadat | Cybersecurity Models / Higher Education | Best Researcher Award

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Mohammad Eyadat | Cybersecurity Models / Higher Education | Best Researcher Award

Mohammad Eyadat California States University, Dominguez Hills, United States

He is currently a full professor at California State University Dominguez Hills, with an extensive academic background spanning various institutions. He holds a Ph.D. in Computer Science/Engineering Mathematics from Claremont Graduate School, a Master of Science Degree in Mathematics from the same institution, a Master of Science Degree in Computer Science from the University of Southern California, and a Bachelor of Science Degree in Computer Science from Yarmouk University in Jordan. Throughout his career, he has taught courses in Computer Science, Computer Information Systems, Information Technology, and Mathematics at both graduate and undergraduate levels. His professional experience ranges from Software Designer and developer to Business Consultant. Additionally, he has contributed as a collaborator in organizing numerous research activities and professional conferences. His research interests encompass multimedia software security, watermarking algorithms for images and video data, software engineering, software reliability models, systems performance evaluation, Education and Information Technology, and Web accessibility.

Education:

He earned his Ph.D. in Computer Science/Engineering Mathematics from Claremont Graduate University in California in 2003, following a Master of Science Degree in Engineering Mathematics from Claremont Graduate School in 1997. Prior to this, he completed a Master of Science Degree in Computer Science at the University of Southern California (USC) in California in 1994. In 1993, he obtained a Programming Certificate of Completion from the International College of Success in Studio City, CA. He began his academic journey with a Bachelor of Science Degree in Computer Science from Yarmouk University in Jordan in 1984. Throughout his educational pursuits, he has displayed a dedication to advancing his knowledge and expertise in computer science and engineering mathematics.

Profile:

Experience:

He has been self-employed as a Programmer/Contractor in California since 1990, demonstrating his entrepreneurial spirit and expertise in software development. From August 1998 to July 2000, he served as a Consultant for a research grant awarded to El Camino College, where he played a vital role in revitalizing the ESL Placement Process, overseeing testing and validation processes. Prior to this, from May 1996 to November 1996, he worked as a Software Designer and Business Consultant at KB Computer in California, showcasing his skills in software design and his ability to provide valuable business insights. His experience also includes a role as a Software Developer and Software Consultant at 3COM in California from August 1995 to May 1996, where he further honed his technical skills. Additionally, he served as a Computer Programmer at Mu’tah University in Jordan from 1985 to 1988, laying the foundation for his career in computer programming. Throughout his career, he has demonstrated versatility, innovation, and a commitment to excellence in the field of software development and consulting.

Publication:

  1. Performance evaluation of an incorporated DCT block-based watermarking algorithm with human visual system model Cited By : 33, Published By : 2015
  2. Deploying bioinformatics workflows on clouds with galaxy and globus provision Cited By : 32, Published By : 2012
  3. Factors that affect the performance of the DCT-block based image watermarking algorithms Cited By : 22, Published By : 2004
  4. Routing protocol for low power and lossy network–load balancing time-based Cited By : 17, Published By : 2021
  5. Compression standards roles in image processing: case study Cited By : 12, Published By : 2005
  6. Web accessibility factor a key focus for serving students Cited By : 11, Published By : 2011
  7. Information security: SETA program status at jordanian universities Cited By : 5, Published By : 2015
  8. Web accessibility in information systems Cited By : 5, Published By : 2007
  9. Javascript and Perl Combo in On-line Examinations Cited By : 5, Published By : 2004
  10. Higher education administrators roles in fortification of information security program. Cited By : 4, Published By : 2015

Yazan Abu Huson | AI and Blockchain | Best Researcher Award

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Yazan Abu Huson | AI and Blockchain | Best Researcher Award

Mr Yazan Abu Huson University of Valencia, Spain

He is Yazan Abdelamjid Ahmad Abu Huson, a 28-year-old PhD student specializing in the Department of Accounting and Corporate Finance at the University of Valencia in Spain. With a master’s and bachelor’s degree in accounting, he is deeply immersed in the world of finance and academia. Beyond his academic pursuits, Yazan has been recognized for his exceptional talents and contributions. In 2019, he was honored with the Excellence Award for being the Most Influential Youth in the Hashemite Kingdom of Jordan. Additionally, he achieved the first rank in Jordan during the Jordanian Youth Voice Debate in 2018 and received the Honor Shield for Best Debater in the Debate Championship at Yarmouk University’s Faculty of Economics and Administrative Sciences in 2017. Yazan is also a certified Trainer of Trainers (TOT), HR professional, and Debate Trainer for the Arabius Academy for Consulting and Training. Currently, he serves as the Head of the Training and Development Department at the Esterdad Center for Civil Society Development, where he continues to make significant contributions to the development and growth of individuals and organizations.

Education:

He obtained his Master’s degree in Accounting from Al al-Bayt University, Jordan, where he excelled with a final grade of 85.5. His thesis focused on “The Expected Effect of Applying the National Billing System in Reducing Tax Evasion from the Perspective of the Auditors of the Income and Sales Tax Department in Jordan.” Prior to this, he completed his Bachelor’s degree in Accounting at Yarmouk University, Jordan, achieving a final grade of 80.9. In addition to his academic achievements, he participated in the National Young Leaders Program facilitated by Friedrich Ebert Stiftung in 2019. Furthermore, he enriched his knowledge with a course in Political Science offered by The Knowledge Stations for Consultation and Training in Amman, Jordan, in 2020. Throughout his academic and professional journey, he has demonstrated a commitment to excellence and a passion for continuous learning and development.

Profile:

Experience:

In Irbid, Jordan, since 2018, he has served as an Accounting Supervisor at the Esterdad Center for Civil Society Development, overseeing financial operations with meticulous attention to detail. Simultaneously, he has held the position of Public Accountant, ensuring compliance and accuracy in financial reporting. Located on University Street, 21110, Irbid, Jordan, he has contributed to the efficient functioning of the Education Department within the center. Additionally, since 2018, he has been actively engaged as an H.R.M, Trainer of Trainers (TOT), and Debate Trainer at Arapus for Business Consulting and Training in Irbid, Jordan. In this capacity, he imparts his expertise in human resource management, trains future trainers, and hones debating skills, further solidifying his reputation as a multifaceted professional dedicated to organizational development and individual growth.

Publications:

  1. The effects of COVID-19 on conditional accounting conservatism in developing countries: evidence from Jordan‏ Cited By : 8, Published By : 2022
  2. A bibliometric review of information technology, artificial intelligence, and blockchain on auditing Cited By : 4, Published By : 2023
  3. EMPIRICAL INVESTIGATION INTO THE INTEGRATION OF CLOUD-BASED ARTIFICIAL INTELLIGENCE IN AUDITING‏ Published By : 2024
  4. Connecting legal compliance and financial integrity: A bibliometric survey of accounting practices in the corporate supply chain‏ Published By : 2024
  5. A bibliometric review of job satisfaction and organizational commitment in businesses area literatures‏

 

Qussai Yaseen | Android Malware Detection | Outstanding Scientist Award

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Qussai Yaseen | Android Malware Detection | Outstanding Scientist Award

Assoc Prof Dr Qussai Yaseen Ajman University, United Arab Emirates

He is a cybersecurity expert with a focus on malware detection, network security, and insider threats. With numerous publications in areas such as network security, insider threat mitigation, IoT security, machine learning applied to cybersecurity (security analytics), and spam filtering, he has established himself as a thought leader in the field. Additionally, he actively contributes to the academic community as a chair, TPC (Technical Program Committee) member, and reviewer for various events, conferences, and journals in cybersecurity and other information technology domains. His expertise and contributions play a vital role in advancing knowledge and practices in cybersecurity, making him a respected figure in both academia and industry.

Education:

He pursued his academic journey with dedication, earning his BSc. in Computer Science from Yarmouk University in Irbid, Jordan, from September 1998 to June 2002. Continuing his education, he completed his MSc. in Computer Science at Jordan University of Science and Technology in Irbid, Jordan, from September 2003 to June 2006. Building on his master’s degree, he went on to achieve a Ph.D. in Cybersecurity from the University of Arkansas in Fayetteville, AR, USA, between August 2008 and May 2012. His doctoral dissertation, titled “Mitigating Insider Threat in Relational Database Systems,” was conducted under the guidance of Prof. Brajendra Panda.

Profile:

Experience:

He has played a prominent role in curriculum development within the field of cybersecurity, serving as the Head of the Cybersecurity Program Committee at both Ajman University, UAE, in 2023, and Jordan University of Science and Technology, Jordan, in 2020. Additionally, he has contributed as a cybersecurity expert, serving as a member of the HEAC Committee for the Cybersecurity Accreditation Program at Petra University, Jordan, in 2020, and at Yarmouk University, Jordan, in 2019. Furthermore, he has showcased his expertise as a guest editor for the Special Issue on Big Data and Applications in the Cloud for the International Journal of Cloud Applications and Computing (IJCAC) in Volume 7: 4 Issues (2017). Through these leadership and editorial roles, he has demonstrated his commitment to advancing cybersecurity education and research on a global scale.

Awards and Honors:

He has a rich history of academic engagements, including serving as a Visiting Professor at the University of West Attica in Greece through the Erasmus+ Program in September 2018 and at the University of Piraeus, also in Greece, under the Erasmus+ Program in September 2017. Additionally, he contributed as a Visiting Researcher at the University of Minho in Portugal through the ERASMUS MUNDUS program from May to June 2017. Earlier in his career, he held a Graduate Assistantship at the University of Arkansas, USA, from August 2008 to May 2012, where he furthered his studies in cybersecurity. His academic achievements have been recognized with prestigious awards, including the Earl Beling Doctoral Fellowship from the College of Engineering at the University of Arkansas in 2011 and a Bachelor Education Fellowship at Yarmouk University in Jordan from 1998 to 2002.

Publications:

  1. An Android Malware Detection Approach Based on Static Feature Analysis Using Machine Learning Algorithms Cited By : 16, Published By : 2022
  2. A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features Cited By : 9, Published By : 2024
  3. A Comparative Analysis of Machine Learning Algorithms for Android Malware Detection Cited By : 8, Published By : 2023
  4. The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models Cited By : 3, Published By : 2023
  5. A Context-Aware Android Malware Detection Approach Using Machine Learning  Cited By : 6, Published By : 2022
  6. A CNN and Image-Based Approach for Malware Analysis Cited By : 2, Published By : 2022
  7. Spam Email Detection Using Deep Learning Techniques Cited By : 93, Published By : 2021
  8. ReDroidDet: Android Malware Detection Based on Recurrent Neural Network Cited By : 28, Published By : 2021
  9. Machine learning for traffic analysis: a review Cited By : 50, Published By : 2020
  10. Detecting Spam Email with Machine Learning Optimized with Harris Hawks optimizer (HHO) Algorithm Cited By : 20, Published By : 2022

Essam Hebishy | Cybersecurity and Cryptography

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Dr. Essam Hebishy  : Leading Researcher in Cybersecurity and Cryptography.

University of Lincoln, United Kingdom.

Congratulations, Dr. Essam Hebishy, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr. Essam Hebishy is currently working as Senior Lecturer in Food Science and Technology at The National Centre for Food Manufacturing, University of Lincoln, United Kingdom. He has extensive experience in Dairy Science, Chemistry and Technology including heat stability, fouling and rehydration properties of varying levels of dairy powders. He is also leading a KTP project to improve hydration and cooking properties of marrowfat peas in collaboration with Princes Foods UK. He has secured research funding with a value of £607,000 from UK and overseas organisations. He was recently awarded 2 grants from The Royal Society which will create new knowledge in research areas including salt, sugar and fat reduction and alternative protein sources.

Profile: Scopus, Orcid

Education:
  • University of Lincoln (Level 7 Academic Professional Degree Apprenticeship (Master degree) in Teaching and Learning in Higher Education (PGDip))
  • Autonomous University of Barcelona (Food Science and Technology)
  • Cairo University (Dairy Science and Technology)
  • Cairo University (Agriculture Sciences with speciality in Dairy Science and Technology)
Publications:

Dr. Essam Hebishy, He has published more than 30 research articles (papers, book chapters, and proceedings etc.).

  • Essam Hebishy*, Han Du, Thais C. Brito-Oliveira, Samantha C. Pinho and Song Miao. Saltiness perception in gel-based food systems (gels and emulsion filled gels). Critical Reviews in Food Science and Nutrition, http://dx.doi.org/10.1080/10408398.2023.2276331.
  • Essam Hebishy*, Oktay Yerlikaya, Jennifer Mahony, Asli Akpinar, Derya Saygili. Microbiological Aspects and Challenges of Whey Powders – I Thermoduric, Thermophilic and Spore-forming Bacteria. (2023). Int J Dairy Technol, 76(4), 779-800. https://doi.org/10.1111/1471-0307.13006.
  • Martindale, W., Hollands, T. Æ., Jagtap, S., Hebishy, E., & Duong, L. (2023). Turn‐key research in food processing and manufacturing for reducing the impact of climate change. International Journal of Food Science & Technology. https://doi.org/10.1111/ijfs.16543
  • Hebishy, E., & Tas, A. A. (2023). 4-hexylresorcinol and sodium metabisulphite-based edible coatings for avocado shelf-life extension. Applied Food Research, 3(1), 100289. https://doi.org/10.1016/j.afres.2023.100289
  • Buchanan, D., Martindale, W., Romeih, E. and Hebishy, E*. (2023), Recent advances in whey processing and valorisation: Technological and environmental perspectives. Int J Dairy Technol, 76: 291-312. https://doi.org/10.1111/1471-0307.12935
  • Hebishy, E.*, Le Berre, M., Crowley, S. V., & O’Mahony, J. A. (2022). Two-stage valve homogenisation enhances particle dispersion in milk protein concentrates during reconstitution and reduces heat-induced particle aggregation in resultant dispersions. Frontiers in Food Science and Technology, 2, 1032373. https://doi.org/10.3389/frfst.2022.1032373
  • Hebishy, E.*, Collette, L., Iheozor‐Ejiofor, P., & Onarinde, B. A. (2022). Stability and antimicrobial activity of lemongrass essential oil in nanoemulsions produced by high‐intensity ultrasounds and stabilized by soy lecithin, hydrolyzed whey proteins, gum Arabic, or their ternary admixture. Journal of Food Processing and Preservation, 46(10), e16840. https://doi.org/10.1111/jfpp.16840
Book Chapters:
  • Giovanni Barone, Diana Oliveira, Anuya Mane and Essam Hebishy*. (2024). Isolation, fractionation and enrichment of casein fractions: conventional, emerging and lab techniques. In “Casein: Structural Properties, Uses, Health Benefits and Nutraceutical Applications”. Book chapters under review by editors, expected online Jan, 2024.
  • Anuya Mane, Diana Oliveira, Giovanni Barone and Essam Hebishy*. (2024). Analytical techniques for casein and its fractions. In “Casein: Structural Properties, Uses, Health Benefits and Nutraceutical Applications”. Book chapters under review by editors, expected online Jan, 2024.
Conference Contribution:
  • Ortali, A., Hebishy, E., Vipond, W., Agnew, P., Taylor, T., & Onarinde, B. (2022). Soaking water properties and pea (Pisum sativum) evaluation.
  • Hebishy, E. Joubran, Y., Murphy, E. & O’Mahony, J.A (2017). Effect of Lecithin Addition on the Physical and Thermal Stability of Model Fat-Filled Milk Oil-In-Water Emulsions. The 17th edition of the Food Colloids conference: Application of Soft Matter Concepts to be held on April 8-11, 2018 in Leeds, UK. (Poster).
  • Hebishy, E. Joubran, Y., Murphy, E. & O’Mahony, J.A (2017). Impact of calcium binding salts on heat stability and fouling of whey protein isolate. The 17th edition of the Food Colloids conference: Application of Soft Matter Concepts to be held on April 8-11, 2018 in Leeds, UK. (Poster).
Research Funding:
  • Oleofoams and Air-in-Oil-in-Water Emulsions as a strategy for Fat Reduction in Foods.
  • Design of novel nanocomposite hydrogels with sodium binding, mucoadhesion and mucopenetration properties for salt reduction in food applications.
  • Effect of different microbial laccase on decolourisation of protein isolated from microalgae for food applications
Academic quantitative indicators:
  • Publications in journals with selective editorial policy: 21
  • Book Chapter: 5
  • Number of citations received in Google Scholar (387, H-factor 8)

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Cybersecurity and Cryptography .

Warm Regards,
Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com