Mrs Nalayini C M Velammal Engineering College, India

Mrs. C. M. Nalayini is currently working as an Assistant Professor in the department of Information Technology at Velammal Engineering College. Her teaching experience is 18.8 years in total. She is pursuing her Ph.D degree in Information and Communication Engineering at Anna University, Chennai, India. Her current research interest includes Network Security, Machine Learning, Deep Learning and Blockchain Technologies. She has published many books such as Programming in C, Data Structures, and published notes in vidyarthiplus for the welfare of the students. She has publishes many book chapters in Springer Lecture series. She has published many research articles in International journals and Conferences. She acted as resource person for various events such as Seminar on Cloud, Workshops on Artificial Intelligence, Machine Learning and Exploring Blockchain and Faculty Development Programs on Blockchain Technologies. She has also given Computer Trainings to various Government School Students for the welfare of the student community. She has completed courses such as CCNA, Network Security, Database Management Systems, Blockchain and its applications. She has conducted various events such as Seminars, Workshops, Faculty Development Programs, National Conference, Guest Lectures, Quiz Competitions and Project Competitions etc. She has won best paper award for the Blockchain research paper. Faculty Ambassador for the Hyperledger India Chapter Student Society-VEC chapter.

🌐 Profile Links:

Education:

Mrs. C. M. Nalayini is currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India, while serving as an Assistant Professor in the department of Information Technology at Velammal Engineering College. With a total teaching experience of 18.8 years, she has dedicated herself to academic excellence. Her research interests lie in Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini has authored several books, including “Programming in C” and “Data Structures,” and has contributed notes on vidyarthiplus for student welfare. She has also published numerous book chapters in the Springer Lecture series and research articles in international journals and conferences. Committed to sharing her knowledge, Mrs. Nalayini has served as a resource person for seminars, workshops, and faculty development programs on various topics, including Cloud Computing, Artificial Intelligence, and Blockchain. She has also conducted computer training sessions for government school students, demonstrating her dedication to the broader community. Additionally, Mrs. Nalayini has completed courses in CCNA, Network Security, Database Management Systems, and Blockchain applications, further enhancing her expertise in the field.

Experience:

With 18.8 years of teaching experience, Mrs. C. M. Nalayini brings a wealth of knowledge and expertise to her role as Assistant Professor in the department of Information Technology at Velammal Engineering College. Alongside her teaching responsibilities, Mrs. Nalayini is deeply engaged in research, currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India. Her research interests span various domains, including Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini is a prolific author, having published numerous books and book chapters, as well as research articles in international journals and conferences. She is actively involved in academic events, serving as a resource person for seminars, workshops, and faculty development programs. Mrs. Nalayini’s commitment to student welfare extends beyond the classroom, as evidenced by her efforts to provide computer training to government school students. Her dedication to advancing knowledge and fostering academic excellence has earned her recognition, including the prestigious Faculty Ambassador role for the Hyperledger India Chapter Student Society-VEC chapter and the Best Paper Award for her Blockchain research paper.

Publications:

Intrusion Detection in Cyber Physical Systems Using Multichain, Malware Analysis and Intrusion Detection in Cyber-Physical Systems Published By : 2023
A New IDS for Detecting DDoS Attacks in Wireless Networks using Spotted Hyena Optimization and Fuzzy Temporal CNN, Journal of Internet Technology Published By : 2023
A Study on Digital Signature in Blockchain Technology Published By : 2023
Placement Analysis for Students using Machine Learning”, Journal of Information Technology and Digital World Published By : 2023
Biometric based Mobile Voting Application. Journal of Information Technology and Digital World Published By : 2023
Identification of Leaf Disease Using Machine Learning Algorithm—CNN”, Lecture Notes in Networks and Systems Published By : 2023
Deterrence of Accident Using IoT”,Journal of Trends in Computer Science and Smart Technology Published By : 2023
Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm”, ICSMDI 2022,Smart Data Intelligence. Algorithms for Intelligent Systems. Springer, Singapore Published By : 2022
Identification and Detection of Credit Card Frauds Using CNN. In: Mishra, M., Kesswani, N., Brigui, I. (eds) Applications of Computational Intelligence in Management & Mathematics. ICCM 2022. Springer Proceedings in Mathematics & Statistics, vol 417. Springer, Cham Published By : 2023
A Comparative Analysis of Standard Classifiers with CHDTC to Detect Credit Card Fraudulent Transactions. In: Sivasubramanian, A., Shastry, in Electrical Engineering, vol 792. Springer, Singapore Published By : 2022

Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Posted on 19/02/202421/02/2024 by ScienceFather

Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Mr Dondapati Rajendra Dev Vignan’s Institute of Engineering for Women, India

He has been serving as an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018. In his current role, he thrives in an innovative and challenging environment, where he continually enhances his skills and knowledge. With a dedication to growth and development, he actively contributes to the educational journey of his students while also seeking opportunities for personal and professional advancement. His commitment to excellence and passion for teaching make him a valued member of the academic community, where he aims to inspire and empower the next generation of engineers.

Education:

He is currently pursuing a Ph.D. in Image Processing at Annamalai University, having enrolled on December 10, 2019. Prior to this, he completed his M.Tech in Software Engineering from GITAM Institute of Technology in 2014, achieving a commendable first-class with a grade of 81.4%. His academic journey began with a Bachelor’s degree in Computer Science Engineering from Sri Sivani College of Engineering in 2010, where he also secured a first-class with a percentage of 65.24%. Before his undergraduate studies, he successfully completed his Intermediate education in Mathematics, Physics, and Chemistry from Sri Chaitanya College in 2006, again obtaining a first-class with a percentage of 82.50%. His academic excellence traces back to his schooling at Little J.K Public School, where he completed his SSC with distinction, securing a first-class with a grade of 78.0% in 2004. Throughout his educational endeavors, he has demonstrated a strong commitment to excellence and a thirst for knowledge.

🌐 Profile Links:

Scopus

Experience:

He has been an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018, bringing with him a wealth of experience and expertise. Prior to his current position, he served as an Assistant Professor at Sanketika Institute of Technology and Management from July 26th, 2017, to September 4th, 2018, where he honed his teaching skills and contributed to the academic community. Before that, he held a similar role at Sri Sivani College of Engineering from October 10th, 2014, to May 31st, 2017, where he played a key role in shaping the educational experience of his students. Additionally, he gained valuable industry experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD (DILSUKHNAGAR, HYDERABAD) from September 2010 to May 2012, where he developed his technical skills and understanding of software engineering principles. Throughout his career, he has demonstrated a strong commitment to education and professional growth, continuously seeking new opportunities to enhance his knowledge and skills.

Workshops:

He has actively participated in various national and international workshops and webinars, showcasing his dedication to staying updated with advancements in his field. In April 2021, he attended a National Webinar on Applications of Artificial Intelligence-Across Industry Domains by Vignan’s Foundation for Science, Technology and Research in Guntur. Following this, in May 2021, he participated in a National Webinar on Methods and Techniques for Privacy Preserving in Blockchain. In June 2021, he attended another national webinar on Rough Set Theory and Its Applications. Continuing his pursuit of knowledge, he joined a National Webinar on Research Challenges on Internet of Things in July 2021. In August 2020, he engaged in an International Workshop on Deep Learning conducted by BITS Pilani Hyderabad campus. Additionally, he enriched his skills by attending workshops on Latex-A Scientific Documenting Tool and Data Analytics using Excel conducted in May and 2020, respectively. These experiences reflect his commitment to continuous learning and professional development in the fields of technology and research.

Publications:

Uncertainty determination and reduction through novel approach for industrial IOT Published By : 2024

Khubaib Ahmed Qureshi | Machine Learning | Member

Posted on 09/02/202409/02/2024 by ScienceFather

Khubaib Ahmed Qureshi | Machine Learning | Member

Dr Khubaib Ahmed Qureshi Institute of Business Management, Pakistan

Dr Khubaib Ahmed Qureshi received his PhD degree from DHA Suffa University. He worked with Twitter as a research partner. He is affiliated with the Department of Computer Science, IoBM, as an Assistant Professor. He served DHA Suffa University for 10 years and was also the Head of the Data Science Program. He was the Head of the Computer Science Department, HIMS, Hamdard University, Karachi. He has 24 years of comprehensive research and teaching experience, continuing research in the area of computer science named data science, complex networks, and social computing. He has authored several research articles along with chapters in different books.

Education:

He holds a Ph.D. in Data Science from DHA Suffa University, where he conducted research on “Automatic Credibility Assessment of Information over Social Networks,” achieving a commendable CGPA of 3.89. Prior to his doctoral studies, he earned an M. Phill in Data Engineering from SZABIST, securing the top position with a remarkable CGPA of 3.75. His academic journey includes a Master’s in Computer Science (M.C.S) specializing in Software Engineering from SZABIST, where he was recognized as a scholarship holder and awarded the gold medal for his outstanding performance, attaining a CGPA of 3.9. He also holds a Bachelor’s in Computer Science (B.C.S) from Petroman (SALU), where he excelled with a percentage of 76.94%. His educational foundation began with a Higher Secondary Certificate (HSC) in Pre-Engineering and a Secondary School Certificate (SSC) in Science from Karachi Board in 1993 and 1991, respectively.

Experience:

He is an Assistant Professor in the Computer Science Department, where he teaches a diverse range of subjects to undergraduate students, including Data Science, Social Network Analysis (SNA), Machine Learning (ML), Information Retrieval (IR), Database Management (DB), Operating Systems (OS), Information Technology and Communication (ITC), Enterprise Resource Planning (ERP), Management Information Systems (MIS), Software Engineering (SE), and Programming Fundamentals, among others. Additionally, he serves as a Technology Consultant for Corbit Solutions, a technology solution provider, offering his expertise in various technological domains. Moreover, he holds the role of Technical Advisor at DAW Medical University, where he advises on the Digital Research Library Project. Prior to his current positions, he served as the Head of the IT Department and Associate Professor at Hamdard University’s Hamdard Institute of Management Sciences (HIMS) from December 1999 to August 2013. During his tenure at HIMS, he taught subjects like Customer Relationship Management (CRM), Supply Chain Management (SCM), Enterprise Resource Planning (ERP) with Oracle Financials, Business Intelligence, Visual Basic (V.B), Relational Database Management Systems (RDBMS), Oracle/Developer, System Analysis and Design (SAD), Management Information Systems (MIS), Microsoft Access (MS Access), Decision Support Systems (DSS), Management Support Systems (MSS), Information Technology in Business, and Operating Systems (OS) to MBA/BBA students, while also providing various services to the institute.

🌐 Profile Links:

Scopus

Publications:

Explainable tweet credibility ranker: A comprehensive credibility solution Published By : 2023
Deception detection on social media: A source-based perspective Cited By : 5, Published By : 2022
A Knowledge Graph-Based Framework for Integrated Network-Centric Warfare Strategies for Cyber-Physical-Social World Published By : 2022
Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter Cited By : 17, Published By : 2021
Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation Cited By : 9, Published By : 2021
Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text Cited By : 28, Published By : 2021
Mobile database computing performance related issues and recommendations with adoptable object oriented model of mobile database management system Published By : 2011

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Posted on 09/02/2024 by ScienceFather

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

🌐 Profile Links:

Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
UAV’s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Posted on 07/02/202410/02/2024 by ScienceFather

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naïve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

🌐 Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

Shaeela Ayesha | Machine Learning | Member

Posted on 07/02/2024 by ScienceFather

Shaeela Ayesha | Machine Learning | Member

Shaeela Ayesha Government College University Faisalabad, Pakistan

Dr. Shaeela Ayesha has passed her M.Sc and MS Computer Science from University of Agriculture, Faisalabad. She completed her PHD Computer Science from Government College University, Faisalabad. She has several publications in different journals. She also published two book chapters with renowned publishers. Based on Scopus Preview two of her best from publications have been nominated for this event. At present, she is working as a reviewer with many well reputed high impact factor journals. Her research interests include: Machine Learning, Pattern Recognition, Big Data Analytics, Data and Text Mining, Data and Information Fusion, and Health Informatics.

Education:

She completed her early education with distinction, graduating from the Metric Arts Group in Faisalabad Board in 2001. Continuing her academic journey, she pursued intermediate studies in Economics, Physical Education, and Arabic, achieving further excellence from the Faisalabad Board in 2003. Subsequently, she obtained her Bachelor’s degree in Economics, Computer Science, and Arabic (Optional) from the University of Punjab, Lahore, in 2005. Building upon her undergraduate studies, she earned a Master of Science in Computer Science (CS) from the University of Agriculture, Faisalabad, in 2007, specializing in Database Management System. Further advancing her expertise, she completed her M.S. in Computer Science with a specialization in Database Management System from the same university in 2010. Undeterred in her pursuit of knowledge, she attained her Ph.D. in Computer Science from Govt. College University, Faisalabad, graduating with top honors in 2022. Throughout her academic journey, she has consistently demonstrated dedication and excellence in her field of study.

🌐 Profile Links:

Scopus

Experience:

She served as a Lecturer in Computer Science at Government College (W) Kharkhan Bazzar Faisalabad from September 15, 2007, to April 15, 2008. Since September 12, 2009, she has been working as an SST (Secondary School Teacher) in Computer Science at Government High School 103/RB, Faisalabad, continuing her dedication to education and fostering the learning of computer science among students.

Awards and Honors:

She was awarded a laptop through the Shahbaz Sharif Youth Initiative Program, a commendable recognition of her achievements and contributions. This program, initiated by Shahbaz Sharif, aims to empower the youth by providing them with essential tools and resources to excel in their academic and professional endeavors. The laptop award serves as a testament to her hard work, dedication, and potential, acknowledging her as a promising individual deserving of support and encouragement. With this laptop, she is equipped to further her education, pursue her goals, and make meaningful contributions to society. It reflects her commitment to personal and academic growth, as well as her determination to utilize technology for positive impact. This recognition underscores her value as a motivated and capable individual, poised to make a difference in her community and beyond.

Publications:

Performance Enhancement of Predictive Analytics for Health Informatics Using Dimensionality Reduction Techniques and Fusion Frameworks Published By : 2021
Overview and comparative study of dimensionality reduction techniques for high dimensional data Published By : 2021
Text mining: techniques, applications and issues Published By : 2021
A multi-agent framework for data extraction, transformation and loading in data warehouse Published By : 2016
Impact and Usage of Internet in Educational Community in Pakistan Published By : 2010
Data mining model for higher education system Published By : 2010

Alaa Sheta | Artificial Intelligence | Best Researcher Award

Posted on 02/02/202421/02/2024 by ScienceFather

Alaa Sheta | Artificial Intelligence | Best Researcher Award

Prof Dr Alaa Sheta Southern Connecticut State University, United States

He earned his Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, completing his studies from August 1994 to August 1997. His dissertation, titled “Identification and Control of Dynamical Systems Using Genetic Algorithms,” reflects his expertise in artificial intelligence, machine learning, and computational intelligence. During his academic journey, he worked under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. With a diverse range of research interests, his contributions span across data science, digital image processing, data mining, software engineering, software reliability modeling, software cost estimation, identification and control, autonomous systems, robotics, information systems, computer vision, and computer architecture. His comprehensive knowledge and research in these domains showcase his dedication to advancing technology and understanding complex systems.

Education:

He holds a Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, where he conducted groundbreaking research on “Identification and Control of Dynamical Systems Using Genetic Algorithms” from August 1994 to August 1997, under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. Prior to his doctoral studies, he earned an M.Sc. from the Electronics and Communication Engineering Department at Cairo University, Cairo, Egypt, specializing in “Robust Controller Design of Large Scale Uncertain Dynamical Systems” from August 1989 to August 1994, under the guidance of Prof. Mohamed F. Hassan. His academic journey began with a B.E. from the same department at Cairo University, covering the period from August 1983 to July 1988. His educational background reflects a deep commitment to advancing knowledge in the fields of information technology, engineering, and control systems.

🌐 Profile Links:

Experience:

He currently holds the position of Tenured Professor in the Computer Science Department within the College of Arts and Sciences at Southern Connecticut State University since the fall of 2022. Prior to this, he served as an Associate Professor in the same department from the fall of 2019 to the fall of 2021. His academic journey includes roles as an Assistant Professor and later as a Professional Assistant Professor in the Department of Computing Science at Texas A&M University-Corpus Christi, where he contributed from 2017 to the summer of 2019 and from 2016 to 2017, respectively. Before joining Texas A&M, he served as a Professor and Department Chair in the Computers and Systems Department at the Electronics Research Institute (ERI) under the Ministry of Scientific Research in Cairo, Egypt, from 2015 to 2016. His extensive experience and leadership roles underscore his commitment to advancing computer science education and research.

Honors and Awards:

He is a distinguished professional with a wealth of accomplishments in the field of technology and research. Holding the title of IEEE Senior Member since Fall 2021, he has made significant contributions to the realm of sleep apnea diagnosis, garnering attention for his innovative work. The Southern News featured his pioneering approach in an article titled “Sleep Apnea Diagnosis Simplified” on November 5, 2021, highlighting the impact of his research. His expertise extends to machine learning and AI-based applications for efficient sleep apnea diagnosis, as showcased in a YouTube interview on October 25, 2021, and an insightful session at the Future Technology Conference on November 26, 2019. Notably, he received the Best Paper Award at the 2nd International Conference Europe Middle East & North Africa Information Systems and Technologies (EMENA-ISTL2018) in Fez, Morocco, in October 2018. His accolades also include the Best Citation Prize from Taif University in 2013 and the Best Poster Award at the SGAI International Conference on Artificial Intelligence in Cambridge, UK, in December 2011. With a rich history as a visiting scientist at esteemed institutions such as Tennessee Technological University (TTU) and DeMontfort University, he continues to make groundbreaking contributions to the intersection of technology and healthcare.

Publications:

A mobile robot path planning using genetic algorithm in static environment Cited By : 317, Published By : 2008
Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects Cited By : 205, Published By : 2006
A comparison between regression, artificial neural networks and support vector machines for predicting stock market index Cited By : 180, Published By : 2015
Time-series forecasting using GA-tuned radial basis functions Cited By : 143, Published By : 2001
A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm Cited By : 137, Published By : 2021
Image enhancement using particle swarm optimization Cited By : 107, Published By : 2007
Prediction of software reliability: A comparison between regression and neural network non-parametric models Cited By : 104, Published By : 2001
Business Intelligence and Performance Management – Theory, Systems and Industrial Applications Cited By : 90, Published By : 2013
Development of software effort and schedule estimation models using soft computing techniques Cited By : 81, Published By : 2008
Energy optimization in wireless sensor networks using a hybrid k-means PSO clustering algorithm Cited By : 80, Published By : 2016

Felshiya Rajakumari R | Artificial Intelligence, Cyber security, EV, HEV

Posted on 18/12/202320/12/2023 by ScienceFather

Felshiya Rajakumari R – Leading Researcher in Artificial Intelligence, Cyber security, EV, HEV

Mrs Felshiya Rajakumari R , a distinguished academic and researcher in the field of renewable energy, Academician/Research Karpagam Institute of Technology, India. His academic journey has been marked by a profound dedication to Autonomous Vehicles into Social Media and Digital Marketing applications.

🎓Education:

Since January 2020, she has been dedicatedly pursuing a Ph.D. on a part-time basis in Power Electronics and Drives at Karpagam Academy of Higher Education, Coimbatore. Currently awaiting Viva-Voce, she has maintained a commendable academic record with an achievement of 76%. Prior to her doctoral studies, she successfully completed a 2-year full-time Master’s of Engineering in Power Electronics & Drives, earning First Class with an impressive score of 80.8% from Sri Sivasubramaniya Nadar College of Engineering, Chennai, in 2018. Her academic journey began with a 4-year full-time Bachelor’s of Engineering in Electrical & Electronics Engineering, where she graduated with First Class Distinction, securing 85% from National Engineering College, Kovilpatti, in 2016. Furthermore, she excelled in her 12th-grade schooling at Holy Cross Girls Higher Secondary School, Tuticorin-3, achieving a remarkable score of 87.3% in 2012. Her academic prowess was evident even in her 10th-grade schooling at X’an Matriculation School, Tuticorin-3, where she secured an outstanding score of 94.5% in 2010.

🌐 Profile Links:

💻 Projects handled:

Guided final year project (2018-2019) based on Agricultural Technology
 Project Title : Autonomous Farm and Seeding Robot for Agricultural Purpose
The main aim of this project is to help the farmers by providing real time date about their cultivation land with the
advancement of science and recent technologies for the attention of scientist is getting towards two fields – Farming
and Robotics Systems.
Guided final year project (2019-2020) based on Agricultural Robotic Technology Using Arduino for Cultivation Purpose.
 Project Title : Arduino Based Autonomous Farming Seeding Robot for Agricultural Purpose
To help farmers by providing real time date about their cultivation land, the scientist is attracted towards agricultural
field and the work is based on Robotic system. The field farming and robotics systems are merge together and it is
efficiently worked together to overcome the issues. This issue is solved by the robotics and it is worked very well forthe agriculture process and the robotics technology is played a good vital role in engineering, medical field, military,
etc. The main topology of this work deals with the robot for the farming seeds to reduce the man power intervention.
In this work moisture sensor indicates the soil water content in the agricultural field. Ultrasonic sensor is used for
distance calculating the obstacles to indicate the robot to turn the direction for seeding the cultivation land. Program
is simulated using Arduino Software.

🖨️ Projects Applied for Funding Agency:

2019-2020:
 Applied the project “Arduino Based Autonomous Farming Seeding Robot for Agricultural Purpose” in the Tamil Nadu
State Council for Engineering Science and technology.
2020-2021:
 Applied the project “Advancement of Fault Credentials in Submerged Power Cable Using Sensor Detector” in the
Tamil Nadu State Council for Engineering Science and technology.
2022-2023:
 Applied the project “Farming Seeding Agro-Robots for Agricultural Purpose” in the IFERP-Innovative Project Seed
Funding Scheme and received the certificate.

🔍Membership/ Reviewer:

International Association of Electrical, Electronic and Energy Engineering
Institute of Research Engineers and Doctors
International Association of Engineers
Institute for Engineering Research and Publication
Institute of Green Engineers, IGEN GREEN9ENSAVCLUB.
International Journal of Engineering Research & Technology

📚Research Publications:

Publish a paper titled “Subversive ZETA DC-DC Converter Supports Photovoltaic Production Design with Utmost
Tracking POWER using Dual-Anfis”, in the Sustainable Energy Technologies and Assessments, Vol 53, October 2022.
Publish a paper titled “Design Considerations and Performance Analysis based on Ripple Factors and Switching Loss
for Converter Techniques” in Materials Today Proceedings: Vol 37, 2021.
Publish a paper titled “Speculative Evaluation and Relative Analysis of Divergence Techniques of DC-DC Converter” in
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), ISBN:978-1-6654-
4634-1, 3 June 2021.
Publish a paper titled “Design and Implementation of Non-Inverting Buck Converter based on Performance Analysis
Scheme”, in Machine Learning and the Internet of Things in Solar Power Generation, Taylor and Francis Group,
published in 2023.
Publish a paper titled “Investigation and Analysis of DC-DC Converter with PV System and Maximum Power Point
Tracking”, in the 14th Annual Research Congress 2021 held at Karpagam Academy of Higher Education, Coimbatore,
10th December 2022.
Publish a paper titled “Investigation and Analysis of DC-DC Converter with PV System and Maximum Power Point
Tracking”, in the 13th Annual Research Congress 2021 held at Karpagam Academy of Higher Education, Coimbatore,
18th December 2021.
Publish a paper titled “Non-Isolated DC-DC Converter-An Overview of Operation Methods and Various Topologies
Schemes” in AICTE Sponsored International Virtual Conference on Antenna Innovations, 5G Communications and
Network Technologies during 6th and 7th November 2020 conducted by Velammal Institute of Technology.

🤝Achievements:

Received “Certificate of Appreciation” in Research Day program for Journal Publications and Book Chapters conducted
in “Karpagam Institute of Technology” on 2023.
Received a young faculty member award from Nobel Research Academy on 2022.
Received “Certificate of Appreciation” in recognition as mentor role for NPTEL Online Certification Course “Developing
Soft Skills and Personality”.
Received Elite Certificate for attended a NPTEL Exam, “Introduction to Internet of Things”, on 2022.
Won Gold Medal Award in SSN College of Engineering for “First Rank” in the Second Semester Anna University
Examinations.
Received IIC Certificate for completed the “Advanced Level Training Course “conducted in online mode by MoE’s
Innovation & AICTE.
Attended a NPTEL Exam, “Internet of Things”, completed the exam successfully with “ELITE CERTIFICATE”
Got “Certificate of Appreciation” in Annual Day 201 8 Program in “Karpagam Institute of Technology” for published a
Journal Paper “Investigation on DC-DC Converter Topologies for PV Applications”.
Got cash prize award in Karpagam Institute of Technology for completed the “NPTEL-Internet of Things Exam” with
“ELITE”.
Attended IIT Spoken Tutorial Exam on “Moodle Learning Management System” and got the certificate.
Won “Favorite Teacher Award” for the Department of Electrical and Electronics Engineering” during Teachers Day
Celebration, 2019.

Mohammad Khalooei | Robust Machine learning

Posted on 07/12/2023 by ScienceFather

Mohammad Khalooei – Leading Researcher in Robust Machine learning

Congratulations, Mr Mohammad Khalooei, 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!

Mr Mohammad Khalooei, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amirkabir University of Technology, Iran. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

📚 Education:

He is currently a Ph.D. candidate in Computer Engineering (Artificial Intelligence) at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, a position he has held since 2017. Under the supervision of Prof. Mohammad Mehdi Homayounpour and Dr. Maryam Amirmazlaghani, he is actively engaged in advancing his research in the field of Artificial Intelligence. Prior to this, he earned his MSc in Computer Engineering (Artificial Intelligence) from the same institution, graduating in 2017 with an outstanding GPA of 18.79/20. During his master’s program, he worked under the guidance of Prof. Dr. Mohammad Fakhredanesh and Dr. Mohammad Sabokrou, focusing on dominant and rare event detection and localization in video using deep learning methods. His remarkable academic achievements were acknowledged with the first rank among all computer engineering students at the university since 2015.

Before pursuing his master’s degree, he completed his BSc in Computer Engineering (Software Engineering) at Vali-e-Asr University of Rafsanjan, Kerman, Iran, from 2011 to 2015. With a GPA of 17.54/20, he excelled in his academic endeavors. His undergraduate thesis, conducted under the supervision of Dr. Seyyed Mojtaba Sabbagh, Mr. Alireza Mohammadi, and Mis. Fahimeh Dabbaghi, involved replacing the Differential Evolution, Particle Swarm Optimization, and an adaptive Markov Chain Monte Carlo simulation algorithms in the Hydrus modeling project. Notably, he achieved the top position among all computer engineering students at the university from 2011 onwards.

His educational journey began with a Diploma in Mathematics and Physics at Shohada10 High School in Kerman, Iran, where he completed his studies from 1997 to 2011.

🌐 Profile Links:

Awards and Honors:

2020 Full scholarship award at CIFAR Deep Learning and Reinforcement Learning Summer School hosted by CIFAR and Mila, with participation and support from Amii and the Vector Institute. 2020 Invited to attend the Microsoft Research Frontiers in Machine Learning 2020 virtual event. 2020 Reviewer of the International Conference on Learning Representations (ICLR). 2020 Reviewer of the International Conference on Machine Learning (ICML). 2018 Outstanding contribution award in reviewing Elsevier Pattern Recognition Letters Journal, International Association for Pattern Recognition. 2018 Best Hackathon potential Idea award at “Vision is APP to you,” Achieving the best idea of Apple Foundation Program certificate, Italy. 2018 Full scholarship award at Machine and Vision Intelligence school, International Association for Pattern Recognition, Under supervision of Prof. Alfredo Petrosino, Italy. 2017 1st of 12th, Achieving the highest GPA among all Artificial intelligence students at MUT, Tehran, IRAN.

Experience:

Fall 2019 Teacher Assistant, Speech and audio Signal Processing, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Prof. Mohammad Mehdi Homayounpour. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 2019 Lecturer, Robustness of Deep Neural Networks, Sharif University of Technology, Winter Seminar Series (WSS) workshop. Spring 2019 Teacher Assistant, Convex Optimization, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Maryam Amirmazlaghani. 2019 Speaker, Adversarial Machine learning, Amirkabir University of Technology (Tehran Polytechnic), AAIC competition workshop. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 🗣 2018 Speaker, Machine learning in a life of points landscape, Amirkabir University of Technology (Tehran Polytechnic).

Research Experiences:

2017-Now Theoretical and practical research on defending against Adversarial Attack towards Deep Neural Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Theoretical research on Optimization of Generative Adversarial Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on Self-Attention Generative Adversarial Network, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on hot topic of Neural network papers (CycleGAN, UNet), Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Project Experiences: 🗣

2019 Generating Adversarial Examples for Speech Recognition, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Representational space visualization, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Chief Technology Officer (CTO), 5th Amirkabir Artificial Intelligence competitions, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Artificial Intelligence and the Future of Public Policy of IRAN, National Elites Foundation, Tehran, Iran.

Computer Skills:

Languages: Python, Java, C/C++, C#, MATLAB, Linux Shell Script. 🛡
Adversarial ML: AdverTorch, CleverHans, Foolbox, IBM-ART. 🤖
Deep learning: PyTorch, TensorFlow, Keras. 🌐 Large scale ML: Apache Mahout, Spark MLlib.

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

Posted on 04/12/202305/12/2023 by ScienceFather

Dr Paulraj D – Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, 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 Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

👩‍🏫 Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

🌐 Profile Links:

🔍 Skills:

Faculty Communication
Curriculum and Syllabus Planning and Development
Technology-based Curriculum Development
Board of Study Member
Performance Assessment
Classroom Management
Academic Research and Analysis
Student Research Guidance
Online Learning Tools
Thesis Advisement
Student Counseling

📚 Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

👩‍🎓 Experience:

Professor (Jun 15, 2022 – Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
Professor & Head of the Department (Nov 23, 2016 – Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
Professor (Nov 2012 – Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
Associate Professor (Jun 2009 – Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
Software Engineer (Jul 1995 – Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
Software Engineer (Oct 1993 – Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

🏆 Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

📊 Research:

D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

👩‍💼 Responsibilities at Present Institution:

Professor of Computer Science and Engineering.
Anna University Recognized Research Supervisor.
Coordinator Internal Hackathon.
Sports Convenor.
Institution Level NBA Coordinator.
IQAC Member.
NPTEL SPOC.
External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

🏆 Awards and Honors:

2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
2012: Men Engineers Award, IET, Chennai Network.
2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
2005: Board of Study Member, Kannur University.
2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.