Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Posted on by ScienceFather

Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Associate Professor at Computer Science,  Saintgits College of Engineering, India

Dr. Reni K. Cherian is an accomplished Associate Professor in the Department of Computer Science & Engineering at SAINTGITS College of Engineering, situated in Pathamuttom, Kottayam. With a strong academic background and a passion for education, she is dedicated to advancing the field of computer science through her research and teaching. Dr. Cherian’s expertise lies in areas such as Data Science, Computational Intelligence, Intrusion Detection Systems, and Education Technology. Her commitment to excellence in education has been recognized through various awards, including the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) in January 2024. Dr. Cherian’s work reflects her deep-seated belief in the transformative power of education and technology in shaping a better future.

Professional Profiles:

Professional Experience:

Dr. Reni K. Cherian has had a rich and varied professional journey. She currently serves as an Associate Professor at Saintgits College of Engineering, Kottayam, a position she has held since January 2022. Prior to her current role, Dr. Cherian was an Assistant Professor at the same institution for over a decade, from July 2010 to January 2022. She began her academic career at Saintgits College of Engineering, Kottayam, as a Lecturer from January 2008 to June 2010. Before her time at Saintgits, Dr. Cherian worked as a Lecturer at Mar Baselios College of Engineering & Technology, Trivandrum, from July 2005 to July 2006, and at Mar Baselios Christian College of Engineering & Technology, Idukki, from January 2004 to July 2005. She also has experience as a Guest Lecturer at Government Polytechnic College, Pathanamthitta, from June 2003 to October 2003. Prior to her academic roles, Dr. Cherian worked in the software industry, gaining valuable experience as a Software Developer at Data Systems and Softwares, Bangalore, from June 2001 to May 2003, and at Eagle Software Technologies, Pathanamthitta, from June 2000 to May 2001. Her diverse background brings a wealth of knowledge and experience to her current role in academia.

Education:

Dr. Reni K. Cherian has pursued a strong academic path, culminating in a Ph.D. in Computer Science & Engineering from Noorul Islam University, Thuckalay, which she completed in 2021. Prior to her doctoral studies, she earned a Master of Engineering (M.E.) in Computer Science & Engineering from Anna University, Chennai, in 2008. Her foundational education in this field began with a Bachelor of Engineering (B.E.) in Computer Science & Engineering from Manonmaniam Sundaranar University, Tirunelveli, in 2000. Dr. Cherian’s early academic years were at Jawahar Navodaya Vidyalaya, Pathanamthitta, where she completed her 12th grade in 1995 and her 10th grade in 1993, both under the CBSE curriculum. Her educational journey reflects a strong commitment to the field of computer science and a dedication to academic excellence.

Awards & Recognitions:

Dr. Reni K. Cherian’s dedication to excellence in education has been recognized through various awards and accolades. In June 2008, she was awarded the Fifth Rank in Master of Engineering (Computer Science & Engineering) by Anna University, Chennai, showcasing her academic prowess. Her commitment to engineering education was further highlighted in December 2019 when she achieved certification as an IGIP International Engineering Educator by The International Society for Engineering Pedagogy. Dr. Cherian’s contributions to teaching and learning were honored with the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) during ICTIEE in January 2024, underscoring her impact in the field.

Areas of Interest:

Dr. Reni K. Cherian’s professional interests span a wide range of topics within the field of computer science and engineering. She has a strong interest in Data Science, focusing on the analysis and interpretation of data to extract valuable insights. Her research also extends to Computational Intelligence, where she explores the development of intelligent systems capable of solving complex problems. Dr. Cherian is also actively involved in researching and implementing Intrusion Detection Systems, working to enhance the security of computer networks. Additionally, she is passionate about Education Technology, aiming to improve learning outcomes through the integration of technology in educational settings. Her diverse areas of interest reflect a deep commitment to advancing the field and exploring innovative solutions to real-world challenges.

 

 

 

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Posted on by ScienceFather

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 212, Since 2018: 178
  • Citations: 212 (All), 178 (Since 2018)
  • h-index:  9 (All), 7 (Since 2018)
  • i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

  1. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 23.06.2021 to Present (2 years, 1 month)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Regular
  2. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Contract
  3. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

Posted on by ScienceFather

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.

 

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Posted on by ScienceFather

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.