E.Laxmi Lydia | Computer Science | Best Researcher Award

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Prof. E.Laxmi Lydia, Computer Science, Best Researcher Award

Professor at Velagapudi Ramakrishna Siddhartha Engineering College, Siddhartha Academy of Higher Education (SAHE), India

Summary:

Dr. E. Laxmi Lydia is a seasoned educator and researcher with over 20 years of experience in teaching, training, and research. Currently serving as a Professor and Dean of R&D at Vignan’s Institute of Information Technology, she has significantly contributed to the academic and research community. Dr. Lydia is recognized for her exceptional interpersonal skills, commitment to student development, and active involvement in curriculum design and institutional accreditation processes. Her extensive expertise and numerous accolades, including the Best Researcher Award for five consecutive years, highlight her dedication to advancing knowledge and fostering innovation in the field of computer science and engineering.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science and Engineering (Year not specified)

Master of Computer Applications (MCA) (Year not specified)

Bachelor of Science (B.Sc.) (Year not specified)

🏢 Professional Experience:

Professor & Dean of R&D Vignan’s Institute of Information Technology (A), July 2019 – Present
Dr. E. Laxmi Lydia leads the Research and Development department, overseeing various research initiatives and fostering collaborations both within and outside the institution. She plays an integral role in curriculum development and significantly contributes to the institution’s growth and academic excellence.

Associate Professor Vignan’s Institute of Information Technology (A), 2015 – 2019
In her tenure as an Associate Professor, Dr. Lydia taught both undergraduate and postgraduate courses, guided numerous research projects, and actively participated in various academic committees. Her efforts were pivotal in advancing the research capabilities and academic standards of the institution.

Associate Professor Raghu Engineering College, 2011 – 2015
At Raghu Engineering College, Dr. Lydia conducted lectures, supervised research activities, and contributed significantly to the academic community through her publications and participation in conferences. Her work helped in elevating the research profile and educational quality of the college.

Assistant Professor Ravindra and Rajendra PG College for MCA, 2003 – 2009
During her tenure as an Assistant Professor, Dr. Lydia was responsible for teaching MCA students, developing comprehensive course materials, and mentoring students. Her dedication to teaching and mentorship helped shape the careers of many students in the field of computer science and engineering.

Honors & Certifications:

  • Oracle Certified (2009)
  • Microsoft Certified Solution Developer (MCSD)
  • Outcome-Based Education (OBE) Certified
  • Engineering Education Certification
  • EPICS-Engineering Projects in Community Services Certified
  • Reviewer for JEET Scopus Journal
  • Best Researcher Award (2018, 2019, 2020, 2021, 2022) at Vignan’s Institute of Information Technology
  • Distinguished Faculty in CSE-2021 by Ambitions, an educational entity

Professional Affiliations:

  • Member of the Board of Studies (BOS) at Vignan’s Institute of Information Technology
  • Member of the International Accreditation Council of Quality Education & Research (IACQER)
  • Member of the Computer Society of India

Research Interests:

Dr. Lydia’s research interests encompass a wide range of topics within computer science and engineering, including but not limited to:

  • Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Cybersecurity and Information Assurance
  • Software Engineering and Development
  • Internet of Things (IoT) and Smart Systems

Top Noted Publication:

An Optimal Least Square Support Vector Machine Based Earnings Prediction of Blockchain Financial Products

  • Authors: M Sivaram, EL Lydia, IV Pustokhina, DA Pustokhin, M Elhoseny, GP Joshi
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 120321-120330
  • Year: 2020
  • Citations: 97

Concept of Electronic Document Management System (EDMS) as an Efficient Tool for Storing Document

  • Authors: ATR Rosa, IV Pustokhina, EL Lydia, K Shankar, M Huda
  • Journal: Journal of Critical Reviews
  • Volume: 6
  • Issue: 5
  • Pages: 85-90
  • Year: 2019
  • Citations: 91

Synergic Deep Learning Model–Based Automated Detection and Classification of Brain Intracranial Hemorrhage Images in Wearable Networks

  • Author: EL Lydia
  • Journal: Personal and Ubiquitous Computing
  • Year: 2022
  • Citations: 90

Optimal Deep Learning Based Image Compression Technique for Data Transmission on Industrial Internet of Things Applications

  • Authors: B Sujitha, VS Parvathy, EL Lydia, P Rani, Z Polkowski, K Shankar
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Volume: 32
  • Issue: 7
  • Article: e3976
  • Year: 2021
  • Citations: 84

Data Encryption for Internet of Things Applications Based on Catalan Objects and Two Combinatorial Structures

  • Authors: MH Saračević, SZ Adamović, VA Miškovic, M Elhoseny, ND Maček, EL Lydia
  • Journal: IEEE Transactions on Reliability
  • Volume: 70
  • Issue: 2
  • Pages: 819-830
  • Year: 2020
  • Citations: 83

 

Wadha Abdullah Al-Khater | Computer Science | Best Researcher Award

Posted on by Best Paper Award

Dr. Wadha Abdullah Al-Khater, Computer Science, Best Researcher Award

Doctorate at Qatar University, Saudi Arabia

Summary:

Dr. Wadha Abdullah Al-Khater is a prominent researcher in the field of cybersecurity. She has contributed significantly to the development of malware detection techniques using deep learning models and innovative methodologies. With expertise in cybercrime detection and radio frequency identification methods, Dr. Al-Khater has published several articles and conference papers that have garnered considerable attention in the academic community. Her work has been recognized for its comprehensive review of cybercrime detection techniques, providing valuable insights into addressing contemporary challenges in cybersecurity.

Professional Profile:

Scopus Profile

👩‍🎓Education & Qualification:

PhD in Cyber Security (In Progress)

  • Qatar University
  • Start Date: January 29, 2024

Master’s Degree in Computer Science

  • King Saud University
  • Graduation Date: February 25, 2014
  • GPA: 4.62

Bachelor’s Degree in Computer Science

  • College of Education for Girls at Jubail City, King Faisal University
  • Graduation Date: July 2006
  • Honors: Excellent with Honors

Professional Experience:         

Dr. Wadha Abdullah Al-Khater has amassed a rich academic background with diverse roles across various institutions:

Lecturer at CCQ

  • Duration: August 30, 2016 – Present

Graduate Assistantship at Qatar University

  • Duration: March 31, 2016 – August 31, 2016

Lecturer at University Of Dammam

  • Duration: Since October 2008 (corresponding to 1429 H in the Hijri calendar) until present

Teaching Assistant at University Of Dammam

  • Duration: August 16, 2006 (corresponding to 8/1427 H) – June 13, 2008 (corresponding to 6/1429 H in the Hijri calendar)

IT Instructor

  • Conducted a summer course in the Prince Mohammad Bin Fahd Bin Abdul-Aziz Al Sa’ud program aimed at qualifying and employing Saudi youth from May 21, 2007 to July 1, 2007 (corresponding to 21/5/1427 H – 1/7/1427 H).
  • Taught ICDL Certification at Eqra school in Jubail in 1427 H.
  • Compiled a one-month course at University Of Dammam on combining database with Visual Basic in 1430 H.
  • Compiled courses at University Of Dammam in Photoshop and Successful Strategies for Students Studying aimed at preparatory year students.

Honors and awards:

Dr. Wadha Abdullah Al-Khater’s academic excellence was recognized with First Class Honors in the B.Sc. Program at the College of Education for Girls in Jubail City, which is affiliated with King Faisal University. This achievement underscores her dedication and exceptional performance in her academic pursuits.

 Research Interest:

Publication Top Noted:

Using 3D-VGG-16 and 3D-Resnet-18 deep learning models and FABEMD techniques in the detection of malware

  • Authors: W. Al-Khater, S. Al-Madeed
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • Volume: 89
  • Pages: 39–52

Comprehensive review of cybercrime detection techniques

  • Authors: W.A. Al-Khater, S. Al-Maadeed, A.A. Ahmed, A.S. Sadiq, M.K. Khan
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 137293–137311
  • Paper ID: 9146148
  • Citation count: 54

A review on Radio Frequency Identification methods

  • Authors: W. Al-Khater, S. Kunhoth, S. Al-Maadeed
  • Conference: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
  • Year: 2017
  • Pages: 1751–1758
  • Paper ID: 7986549
  • Citation count: 5