JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

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Dr. JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

Associate Professor at Clustering,  JAZAN UNIVERSITY , Saudi Arabia

Dr. Jayabrabu Ramakrishnan is an accomplished academic professional with a strong background in information technology, cybersecurity, and related fields. Currently serving as an Associate Professor at Jazan University, Saudi Arabia, since 2014, he holds a Ph.D. in Computer Science from Bharathiar University, India. Dr. Ramakrishnan has received recognition for his research, including the Scientific Research Cash Award from Jazan University. He is also actively involved in industry collaborations, aiming to bridge the gap between academia and industry. Dr. Ramakrishnan’s expertise and dedication to his field make him a valuable asset to the academic community.

Professional Profiles:

Academic and Professional Positions:

Dr. Jayabrabu Ramakrishnan has a rich academic and professional background, currently serving as an Associate Professor in the Department of Information Technology and Security at the College of Computer Science and Information Technology, Jazan University, Saudi Arabia, since January 2024. Prior to this, he held the position of Assistant Professor in the same department from September 2014 to December 2023. Dr. Ramakrishnan’s academic journey began as an Assistant Professor at Karunya University, Coimbatore, India, from June 2008 to July 2008, followed by his role as an Associate Professor in the Department of Computer Applications at Dr. NGP Institute of Technology, Coimbatore, India, from August 2008 to October 2014. Before joining academia, he served as a Lecturer in the Department of Computer Applications at Rajiv Gandhi College of Engineering and Technology, Pondicherry, India, from September 2004 to June 2008.

Education:

Dr. Jayabrabu Ramakrishnan has pursued a diverse educational journey, culminating in a Ph.D. in Computer Science from Bharathiar University, Coimbatore, India, which he completed in 2013. Prior to this, he obtained an M.Phil. in Computer Science from Annamalai University, India, in 2007. Dr. Ramakrishnan’s academic pursuits began with a Master of Computer Applications (MCA) from Pondicherry University, India, in 2004, following his Bachelor of Science degree from Madras University, India, in 2000. Recently, in 2023, he further enhanced his expertise by completing a Postgraduate Program in Artificial Intelligence and Machine Learning (PGP-AIML) from The University of Texas, Austin.

Teaching:

Dr. Jayabrabu Ramakrishnan has a strong background in teaching, with extensive experience in delivering high-quality education in the field of information technology and security. He has taught a variety of courses at both undergraduate and graduate levels, including subjects such as data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan is known for his innovative teaching methods and his ability to engage students in the learning process. He is committed to providing students with a solid foundation in theoretical concepts while also imparting practical skills that are relevant to the industry. Dr. Ramakrishnan’s passion for teaching and his dedication to student success make him a highly respected educator in his field.

Awards and Achievements:

Dr. Jayabrabu Ramakrishnan has been recognized for his exceptional contributions in research, receiving the Scientific Research Cash Award from Jazan University for the years 2019, 2020, and 2021. He established the International Certification Academy within the College of Computer Science and Technology at Jazan University and was honored with the Best Techno Faculty Award in 2014. Dr. Ramakrishnan has signed memorandums of understanding with numerous industries to strengthen industry-institute relationships. He has coordinated conferences and served as a chairperson at various national and international events. Additionally, Dr. Ramakrishnan is a Certified Cisco Networking Associate (CCNA) Instructor Trainer and serves as a reviewer for several international journals and conferences.

Research Experience:

Dr. Jayabrabu Ramakrishnan has a wealth of research experience in the field of information technology and security. His research interests span a wide range of topics, including data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan has published extensively in peer-reviewed journals and conferences, contributing to the advancement of knowledge in his field. He has also been actively involved in supervising research projects and mentoring students, fostering a culture of research excellence. His research experience reflects his commitment to academic and scholarly pursuits, making him a valuable asset to the research community.

Publications:

  1. A comprehensive and systematic review of the network virtualization techniques in the IoT
    J Ramakrishnan, MS Shabbir, NM Kassim, PT Nguyen, D Mavaluru
    International Journal of Communication Systems 33 (7), e4331
    Year: 2020
    Citations: 61
  2. A new efficient design for random access memory based on quantum dot cellular automata nanotechnology
    A Mubarakali, J Ramakrishnan, D Mavaluru, A Elsir, O Elsier, K Wakil
    Nano Communication Networks 21, 100252
    Year: 2019
    Citations: 45
  3. Fog-based delay-sensitive data transmission algorithm for data forwarding and storage in cloud environment for multimedia applications
    A Mubarakali, AD Durai, M Alshehri, O AlFarraj, J Ramakrishnan, …
    Big Data 11 (2), 128-136
    Year: 2023
    Citations: 23
  4. Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
    J Ramakrishnan, D Mavaluru, RS Sakthivel, AS Alqahtani, A Mubarakali, …
    Neural Computing and Applications, 1-15
    Year: 2020
    Citations: 21
  5. An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
    S Eswaran, V Rani, D Daniel, J Ramakrishnan, S Selvakumar
    International Journal of Pervasive Computing and Communications 18 (1), 59-78
    Year: 2021
    Citations: 10
  6. A framework for fraud detection system in automated data mining using intelligent agent for better decision making process
    R Jayabrabu, V Saravanan, JJ Tamilselvi
    2014 International Conference on Green Computing Communication and …
    Year: 2014
    Citations: 9
  7. Investigation of hybrid spectrum slicing-wavelength division multiplexing (SS-WDM) in transparent medium for mode division multiplexing applications
    AS Alqahtani, UA Kumar, J Ramakrishnan, P Parthasarathy, A Mubarakali, …
    Optical and Quantum Electronics 55 (3), 243
    Year: 2023
    Citations: 8
  8. A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents
    R Jayabrabu, V Saravanan, K Vivekanandan
    arXiv preprint arXiv:1202.1945
    Year: 2012
    Citations: 8

 

Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

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Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

PhD Scholar at Software Engineering, University of Electronic Science and Technology of China

Mr. Muhammad Arslan Rauf is a Ph.D. scholar in the final year with a focus on Recommendation Systems, Zero-Shot Learning, and Deep Learning. He has a robust foundation in cutting-edge research methodologies and a passion for technological innovation. His 18 years of comprehensive education, culminating in a Master’s degree, have equipped him with deep analytical skills and a keen eye for detail. With experience in both research and teaching, he is adept at distilling complex concepts into understandable insights. He is eager to contribute his expertise to a dynamic team, driving forward advancements in computer science and fostering an environment of continuous learning and innovation.

Professional Profiles:

👨‍🎓 EDUCATION AND TRAINING:

🎓 Doctorate in Software Engineering (PhD)
University of Electronic Science and Technology of China
[10/09/2020 – Current]
Thesis: Zero-shot learning for Cold-strat Recommendation

🎓 Master of Science in Computer Science
National Textile University, Faisalabad, Pakistan
[28/10/2017 – 28/10/2019]
Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
Major: Machine Learning, NLP, Computer Vision

🎓 Bachelor of Science in Computer Science
Government College University, Faisalabad, Pakistan
[10/09/2013 – 14/09/2017]
Core Subjects: Algorithm, Database, OOP, Data Structure, Operating System, Automata

💼 WORK EXPERIENCE

💻 Lecturer (Computer Science)
Riphah International University, Faisalabad, Pakistan
[24/09/2019 – 31/03/2021]

🗣️ LANGUAGE SKILLS

🗣️ Urdu (Mother tongue)
Levels: A1 and A2: Basic user; B1 and B2: Independent user; C1 and C2: Proficient user

🌐 DIGITAL SKILLS

🖥️ Programming language: Python / C, C++, C#
📊 Microsoft Office (Microsoft)
🐍 Python libraries: NumPy, Pandas, Keras, Sci-Kit Learn, TensorFlow, Matplolib, Seaborn
🗄️ Database: Oracle, MYSQL, SQL+, Access
📝 Microsoft SQL and Oracle SQL
📚 End Note
📑 Overleaf & LaTeX
🔧 VSCode, Visual Studio

Publications:

  1. Fabric weave pattern recognition and classification by machine learning
    • Authors: MA Rauf, M Jehanzeb, U Ullah, U Ali, M Kashif, M Abdullah
    • Conference: 2022 2nd international conference of smart systems and emerging technologies
    • Citations: 2
    • Year: 2022
  2. Content-Based Venue Recommender Approach for Publication
    • Authors: M Umair, S Jabbar, MA Rauf, M Rafiq, T Mahmood
    • Conference: International Conference on Engineering Software for Modern Challenges
    • Citations: 2
    • Year: 2021
  3. An Efficient Ensemble approach for Fake Reviews Detection
    • Authors: A Iqbal, MA Rauf, M Zubair, T Younis
    • Conference: 2023 3rd International Conference on Artificial Intelligence (ICAI)
    • Citations: 1
    • Year: 2023
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Authors: MA Rauf, H Ahmad, CMN Faisal, S Ahmad, MA Habib
    • Conference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
    • Citations: 1
    • Year: 2020
  5. BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation
    • Authors: MA Rauf, MMY Khalil, W Wang, Q Wang, MANU Ghani, J Hassan
    • Journal: Information Processing & Management
    • Citations: Not provided
    • Year: 2024
  6. Occupational radiation dose to workers in a cancer hospital.
    • Authors: MU Ghani, KU Khan, T Khan, A Bahadur, M Rauf
    • Journal: Pakistan Journal of Nuclear Medicine
    • Citations: Not provided
    • Year: 2022
  7. An Effective Technique for Detecting Defecting Parts of Fabric in Digital Image
    • Authors: MA Rauf, M Abubakar, U Ullah, NU Haq
    • Conference: 2021 International Conference on Innovative Computing (ICIC)
    • Citations: Not provided
    • Year: 2021

 

 

 

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

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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.

 

 

 

Prof Dr. Noor Zaman Jhanjhi | Cybersecurity | Outstanding Scientist Award

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Prof Dr. Noor Zaman Jhanjhi | Cybersecurity | Outstanding Scientist Award

Professor at Cybersecurity, Taylor’s University Malaysia, Malaysia

Prof. Dr. Noor Zaman Jhanjhi is a distinguished senior Professor, Academician, Researcher, and Scientist specializing in Computer Science, particularly Cybersecurity. He currently serves as a Professor at the School of Computer Science at Taylor’s University, Malaysia. As the Program Director for the Postgraduate Research Degree Programmes in Computer Science and the Director of the Center for Smart Society (CSS5), Prof. Jhanjhi has played a crucial role in shaping the educational and research landscape at Taylor’s University. He is globally recognized as one of the world’s top 2% research scientists and ranks among the top five computer science researchers in Malaysia. His outstanding contributions have earned him the title of an Outstanding Faculty Member by MDEC Malaysia in 2022. Prof. Jhanjhi has a prolific publication record, with highly indexed publications in prestigious journals such as SCIE/WoS/ISI/SCI/Scopus, boasting a collective research impact factor exceeding 900 points. He has edited/authored over 45 research books published by esteemed publishers, including Springer, Taylor and Francis, Wiley, Intech Open, and IGI Global USA, among others.

Professional Profiles:

Education:

Prof. Dr. Noor Zaman Jhanjhi obtained his Ph.D. in Information Technology from the University Technology Petronas (UTP), Malaysia, completing his studies from June 2010 to July 2015. Prior to his doctoral studies, he earned his Master of Science in Computer Science from the University of Agriculture, Faisalabad (UAF), Pakistan, from June 1999 to December 2000, achieving a CGPA of 3.64/4.00. Prof. Dr. Jhanjhi’s academic journey began with a Bachelor of Science in Engineering from UAF, Pakistan, where he maintained a CGPA of 3.46/4.00 from April 1994 to October 1998. He received the University Merit Scholarship throughout his Master’s studies, reflecting his dedication and academic excellence.

Research Interest:

Prof. Dr. Noor Zaman Jhanjhi is a seasoned professional with extensive experience spanning over 20 years in Cybersecurity, 15+ years in Internet of Things, 20+ years in Machine Learning & AI, 20+ years in Wireless Security, 22+ years in Adhoc Network, 22+ years in Software Engineering, 20+ years in Wireless Sensor Network, and 15+ years in Cloud Computing & Big Data. His expertise and contributions in these fields have been invaluable, reflecting his deep understanding and commitment to advancing these technologies.

Noor Zaman Jhanjhi ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 11592, Since 2018: 11285
  • Citations: 11592 (All), 11285 (Since 2018)
  • h-index:  60 (All), 58 (Since 2018)
  • i-10index: 275 (All), 259 (Since 2018

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

Achievements:

Prof. Dr. Noor Zaman Jhanjhi’s contributions to academia have been widely recognized, with notable accolades including being named a World Top 2% Scientist in both 2022 and 2023. In 2023, he received the prestigious Vice Chancellor’s Award for being the Most Cited at Taylor’s University. In 2022, he was honored with the Best Faculty Award by MDEC Malaysia. His editorial excellence was acknowledged in 2020 when he was recognized as an Outstanding Associate Editor by IEEE Access. Prof. Dr. Jhanjhi’s expertise has been sought after internationally, leading to appointments as a Visiting Professor at the British University Vietnam and UNILAK University. He is also a Distinguished Adjunct Professor at Marwadi University and SR University, further demonstrating his impact and standing in the academic community.

Interest:

Prof. Dr. Noor Zaman Jhanjhi is passionate about various interests, including research, public speaking, mentoring, networking events, science communication, and travel. His enthusiasm for these areas reflects his dedication to academic and professional development, as well as his commitment to sharing knowledge and fostering connections within the scientific community.

Publications:

  1. Performance of deep learning vs machine learning in plant leaf disease detection
    • Authors: R Sujatha, JM Chatterjee, NZ Jhanjhi, SN Brohi
    • Citations: 392
    • Year: 2021
  2. Cyber security threats and vulnerabilities: a systematic mapping study
    • Authors: M Humayun, M Niazi, NZ Jhanjhi, M Alshayeb, S Mahmood
    • Citations: 253
    • Year: 2020
  3. A review on smart home present state and challenges: linked to context-awareness internet of things (IoT)
    • Authors: ZA Almusaylim, N Zaman
    • Citations: 250
    • Year: 2019
  4. A hybrid CNN-SVM threshold segmentation approach for tumor detection and classification of MRI brain images
    • Authors: MO Khairandish, M Sharma, V Jain, JM Chatterjee, NZ Jhanjhi
    • Citations: 211
    • Year: 2022
  5. Emerging smart logistics and transportation using IoT and blockchain
    • Authors: M Humayun, NZ Jhanjhi, B Hamid, G Ahmed
    • Citations: 197
    • Year: 2020
  6. Internet of things and ransomware: Evolution, mitigation and prevention
    • Authors: M Humayun, NZ Jhanjhi, A Alsayat, V Ponnusamy
    • Citations: 185
    • Year: 2021
  7. Ten Deadly Cyber Security Threats Amid COVID-19 Pandemic
    • Authors: NA Khan, SN Brohi, N Zaman
    • Citations: 180
    • Year: 2020
  8. Medical image-based detection of COVID-19 using deep convolution neural networks
    • Authors: L Gaur, U Bhatia, NZ Jhanjhi, G Muhammad, M Masud
    • Citations: 157
    • Year: 2023
  9. A Novel Patient-Centric Architectural Framework for Blockchain-Enabled Healthcare Applications
    • Authors: AP Singh, NR Pradhan, S Agnihotri, N Jhanjhi, S Verma, U Ghosh, D Roy
    • Citations: 157
    • Year: 2021
  10. Smart traffic monitoring system using unmanned aerial vehicles (UAVs)
    • Authors: NA Khan, NZ Jhanjhi, SN Brohi, RSA Usmani, A Nayyar
    • Citations: 153
    • Year: 2020

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

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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. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

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Mr. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

Riyadh at Mathematics , Prince Sattam bin Abdulaziz University, Saudi Arabia

👨‍🎓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:

Mr. Mohammed Alharbai pursued a Master’s degree in Dynamic Systems and their Applications in the field of digital image encryption and mathematical models of epidemics at the College of Science and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia, from 2018 to the present. Prior to this, he completed a Pre-Master’s program in Mathematics at the same institution in 2017-2018, achieving a grade of Very Good. His academic journey began with a Bachelor’s degree in Applied Mathematics, which he pursued at the College of Science, Al Qussaim University, Kingdom of Saudi Arabia, from 2013 to 2016, where he graduated with honors, achieving an Excellent with Honors classification.

Experience:

Mr. Mohammed Alharbai has been serving as a Mathematics Teacher at a secondary school in Medina, Kingdom of Saudi Arabia, since 2017. In this role, he is responsible for delivering instruction in mathematics to students, likely spanning various grade levels. His work involves creating and implementing lesson plans, assessing student progress, and providing necessary support and guidance to help students achieve academic success in mathematics. As a dedicated educator, Mr. Alharbai contributes to the educational development of students in the field of mathematics, aiming to instill a strong understanding of mathematical concepts and principles.

Skills:

Mr. Mohammed Alharbai has developed a range of computer skills, including proficiency in MatLab and Latex. He also holds an International Computer Driving Licence (ICDL). Additionally, he has dedicated himself to self-development, having attended numerous courses between 2016 and 2024. These courses covered a diverse array of topics, such as critical thinking skills, information technology, economics and finance, reflective teaching, basics of scientific research, skills for preparing a research plan, and scientific research methodologies and approaches.

Work Experience:

Mr. Mohammed Alharbai has gained a diverse range of work experiences, including the integration of technology in teaching practices. He possesses expertise in designing and implementing exam and student evaluation systems, as well as handling crisis management situations effectively. Furthermore, he is involved in developing guidelines for quality management system documentation. With a strong background in scientific research, he has experience in international publication and scientific writing, demonstrating his proficiency in communicating research findings effectively.

Mr. Srinivas Reddy Pulyala | Information Security | Best Researcher Award

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Mr. Srinivas Reddy Pulyala | Information Security | Best Researcher Award

Cybersecurity Architect at Information Security, Smile Direct Club, United States

👨‍🎓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:

Summary:

Mr. Srinivas Reddy Pulyala  has extensive experience in configuring, implementing, and supporting Splunk Server Infrastructure across AWS, Windows, UNIX, and Linux. They are skilled in a variety of operating systems protocols and tools, depending on the type of platform or application to be administered. Additionally, they have experience with Splunk Searching and Reporting modules, Knowledge Objects, Administration, add-ons, Dashboards, Clustering, and Forwarder Management in the AWS Environment. They have been involved in technical decision-making to create technical design documents to determine various systems and components to implement the Splunk solutions. They have also conducted sessions with clients for knowledge transfer and have engineered Splunk to build, configure, and maintain heterogeneous environments with in-depth knowledge of log analysis generated by various systems, including security products.

Education:

Mr. Srinivas Reddy Pulyala holds a Master’s degree in Computer and Information Science from Southern Arkansas University and a Master’s degree in Information Systems Security from the University of the Cumberlands. Additionally, they have a Bachelor’s degree in Computer Science Engineering from JNTU Hyderabad, TS, India.

Certificate & Training:

  • Certified Implementations Fundamentals (2018)
  • Splunk Enterprise Security Admin (2017)
  • Certified Splunk Power User (2017); User (2017)
  • Certified Admin (2017)
  • Splunk Phantom Admin (2021)
  • Splunk Advanced Searching and Reporting (2018)
  • Splunk Architecture (2017)

Experience:

Mr. Srinivas Reddy Pulyala has been working at Smile Direct Club since September 2020 as a Cybersecurity Architect. In this role, they are responsible for supporting upgrades, deployments, and modifications to Splunk and all Splunk architecture. They lead critical projects to detect threats and apply remediation steps to protect the company from threats. They have experience in setting up dashboards for senior management and production support using SPLUNK, developing and enhancing hundreds of Splunk dashboards/views, and configuring data ingestion to a centralized Splunk monitoring application. Additionally, they are responsible for administering, maintaining, and configuring 24 x 7 highly available Splunk apps for the production portal environment. They create Dashboard Views, Reports, Lookups, and Alerts for events and configure alerts. Their role also involves developing Splunk Dashboards, searches, and reporting to support various internal clients in Security, IT Operations, and Application Development. Finally, they have hands-on development experience in customizing visualizations, configurations, reports, alerts, and search capabilities using customized Splunk queries.

 

Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

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Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

Assistant Professor at Mathematics , Kalinga Institute of Industrial Technology (KIIT), 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:

Ph.D. in Mathematics from Vidyasagar University, West Bengal, India (2012–2017) B.Ed. with First Class from Purba Medinipur B.Ed. College, West Bengal, India (2011–2012) M.Sc. in Mathematics with First Class from Vidyasagar University, West Bengal, India (2008–2010) B.Sc. in Mathematics with First Class from Mahishadal Raj College, West Bengal, India (2005–2008) Higher Secondary in Science with First Division from West Bengal Council of Higher Secondary Education, West Bengal, India (2002–2005) Secondary with First Division from West Bengal Board of Secondary Education, West Bengal, India (2000–2002)

Experience:

Associate Professor, Department of Basic Science and Humanities, University of Engineering & Management Kolkata, Kolkata-700091, West Bengal, India (2023–present) Assistant Professor, Department of Mathematics, C. V. Raman Global University, Bhubaneswar-752054, Odisha, India (2021–2023) UGC-Dr. D. S. Kothari Post-Doctoral Fellow, Department of Mathematics, The University of Burdwan, West Bengal, India (2019–2021) Ph.D. Student, Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, West Bengal, India (2012–2017) Guest Lecturer, Department of Mathematics, Mahishadal Raj College, West Bengal, India (2010–2012).

Amalesh Kumar Manna ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1017, Since 2018: 957
  • Citations: 1017 (All), 957(Since 2018)
  • h-index: 19 (All), 19 (Since 2018)
  • i10-index: 25 (All), 25 (Since 2018)

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

Awards and Achievements:

March 2019: UGC-Dr. D. S. Kothari Post-Doctoral Fellowship, No.F.4-2/2006 (BSR)/MA/18-19/0023 2008-2010: West Bengal Govt. Merit-Cum-Means Fellowship for M.Sc. Course March 2012: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-332 March 2011: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-342 March 2010: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-317

Computer Skill:

Dr. Amalesh Kumar Manna is proficient in various operating systems, software, programming languages, and human languages, including:

  • Operating Systems: Windows, Linux
  • Software: LaTeX, Texmaker, Mathematica, LINGO
  • Programming Languages: C++, PSO
  • Languages: English, Hindi, Bengali

Research Area:

Dr. Amalesh Kumar Manna‘s research expertise encompasses a range of topics, including:

  • Ph.D. in Optimization, Inventory, Manufacturing inventory model, Supply chain model, Application of fuzzy mathematics on inventory and supply chain model
  • Post-doc research in Optimization of inventory problem, production inventory problem via meta-heuristic algorithm, Green manufacturing inventory model, Green supply chain model, Application of interval mathematics and interval differential equation on inventory and production inventory model

Publications:

Imperfect production inventory model with production rate dependent defective rate and advertisement dependent demand

  • Published in Energy in 2017 with 132 citations.

An application of preservation technology in inventory control system with price dependent demand and partial backlogging

  • Published in Energy in 2020 with 94 citations.

Supply chain coordination model for green product with different payment strategies: a game theoretic approach

  • Published in Energy in 2021 with 64 citations.

An inventory model for non-instantaneous deteriorating items with preservation technology and multiple credit periods-based trade credit financing via particle swarm optimization

  • Published in Energy in 2021 with 58 citations.

An application of interval differential equation on a production inventory model with interval‐valued demand via center‐radius optimization technique and particle swarm …

  • Published in Energy in 2020 with 53 citations.

Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon

  • Published in Energy in 2017 with 41 citations.

Three-layer supply chain in an imperfect production inventory model with two storage facilities under fuzzy rough environment

  • Published in Energy in 2014 with 41 citations.

Two layers supply chain in an imperfect production inventory model with two storage facilities under reliability consideration

  • Published in Energy in 2018 with 38 citations.

 

 

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

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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.