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

 

Ms. Yitin Zhu | Informatics | Best Researcher Award

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Ms. Yitin Zhu | Informatics | Best Researcher Award

Associate Professor at Informatics , Wuhan University of Bioengineering, China

Yiting Zhu, born on March 12, 1998, in Shanghai, has been recognized for her exceptional research contributions with the Best Researcher Award. Her achievements reflect a high level of dedication and excellence in her field of expertise.

Professional Profiles:

EDUCATION:

Yiting Zhu completed her undergraduate studies at Jianghan University, majoring in English (Normal), from September 2001 to June 2005. She then furthered her education at Huazhong University of Science and Technology, specializing in Foreign Linguistics and Applied Linguistics, from September 2008 to June 2013. Her academic background reflects a strong foundation in language studies, which likely contributes to her success in research and academia.

EXPERIENCES:

Yiting Zhu has had a diverse and impactful career at Wuhan University of Bioengineering, demonstrating strong leadership and organizational skills. From July 2021 to the present, she has served as an Academic Leader and Associate Professor at the School of Foreign Languages, where she is responsible for formulating personnel cultivating programs, coordinating school-enterprise cooperation, and conducting teacher training. Prior to this role, from July 2016 to May 2021, Yiting was the Deputy Director of the Foreign Affairs Department, where she played a key role in planning and organizing the daily work of the Foreign Affairs Office. She was also responsible for foreign staff recruitment and management, and represented the organization in diplomatic activities, negotiating and concluding international agreements and treaties, and maintaining relationships with foreign governments and organizations. From July 2009 to May 2016, Yiting Zhu served as a Lecturer at the School of Foreign Languages, where she taught business English and was involved in foreign staff recruitment and management. Her experience and expertise in language teaching and international affairs have contributed significantly to the university’s academic and diplomatic endeavors.

HONORS:

Yiting Zhu has achieved notable success in various competitions, demonstrating her skills and talents. She was the Outstanding Winner of the National Business English Translation Competition, showcasing her proficiency in translating complex business English materials. Additionally, Yiting has been recognized with the Second Prize of the “Wisdom Tree Cup,” highlighting her exceptional abilities and innovative thinking. She also achieved the Second Prize in the SFLEP National Foreign Language Teaching Contest, underscoring her expertise in foreign language teaching. Furthermore, Yiting Zhu’s talents extend beyond language, as she earned the Third Prize in the National Comprehensive Skills Competition for Applied Talents, demonstrating her diverse range of abilities and competencies.

Publications:

  1. A knowledge graph and BiLSTM-CRF-enabled intelligent adaptive learning model and its potential application
    • Author: Yiting Zhu
    • Volume: 91
    • DOI: 10.1016/j.aej.2024.02.011
    • Source: Alexandria Engineering Journal (SCI, Q1)
    • Published: 2024
  2. Off-Topic Detection of Business English Essay Based on Deep Learning Model
    • Author: Yiting Zhu
    • Volume: 2021
    • DOI: 10.1155/2021/5051667
    • Source: MOBILE INFORMATION SYSTEMS (SCI, Q4)
    • Published: 2021
  3. Teaching Reform of “Work-Integrated Learning” in International Trade Practice from the Perspective of BDaaS
    • Author: Yiting Zhu
    • Volume: 2021
    • DOI: 10.1155/2021/3884155
    • Source: Advances in Multimedia (EI, JA)
    • Published: 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. Adel Hatami-Marbini | Decision Sciences | Best Researcher Award

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Prof. Adel Hatami-Marbini | Decision Sciences | Best Researcher Award

Professor at Decision Sciences, University of Huddersfield, United Kingdom

Professor Adel Hatami-Marbini is a highly accomplished academic with expertise in supply chain management, analytics, and business management. Currently, he holds the position of Professor of Supply Chain Management and Analytics at Huddersfield Business School, University of Huddersfield. He previously served as a Professor and Senior Lecturer at De Montfort University and held various academic positions at universities in Belgium and the UK.

Professor Hatami-Marbini’s research interests include supply chain analytics, business analytics in operations management, sustainability in logistics and supply chains, and digital supply chain management. He has received research funding from prestigious organizations and has a strong publication record, as evidenced by his Google Scholar and Research Gate profiles.

Professional Profiles:

Academic Positions:

Prof. Adel Hatami-Marbini is a Professor of Supply Chain Management and Analytics at the Huddersfield Business School, University of Huddersfield, UK, since March 2023. Previously, he was a Professor of Business and Management at the Faculty of Business and Law, De Montfort University, Leicester, UK, from 2017 to March 2023. He served as a Senior Lecturer at De Montfort University from 2017 to 2018. Prof. Hatami-Marbini held the Chair in Logistics and Supply Chain Management and chaired the Innovative Logistics and Supply Chains Research Group during his tenure at De Montfort University. From 2013 to 2016, he was a Researcher fellow of the F.R.S.-FNRS (Chargé de Recherches F.R.S.-FNRS) at the Center of Operations Research and Econometrics (CORE) at Université catholique de Louvain (UCL) in Louvain-la-Neuve, Belgium. Additionally, he has held part-time posts as a Postgraduate Supervisor at Aston Business School, Aston University, Birmingham, UK, since 2022, and as a Postgraduate Supervisor at the School of Management, University of Central Lancashire, Preston, UK, since 2022. He was an Adjunct Professor at the Department of Business Administration, University of Namur, Namur, Belgium, from 2015 to 2020, and a Senior Researcher at the Department of Economics, University of Liege, Liege, Belgium, from 2016 to 2018.

Industry Experience:

From 2006 to 2010, He worked as a Project Planning and Consultant Engineer at the construction company Azarsimab. Prior to that, from 2005 to 2006, He served as a Consultant in Production Planning at an automobile manufacturing company, IKCO. Concurrently during the same period, I also worked as a Consultant in Total Quality Management at the consulting company Behpoyan Tadbir.

Education:

Prof. Adel Hatami-Marbini completed his Ph.D. in Economics & Management Sciences with a focus on Supply Chain Management at the Center for Supply Chain Management, Louvain School of Management, Université Catholique de Louvain (UCL), Belgium, from 2010 to 2013. He earned his M.Sc. in Industrial Engineering, specializing in System & Productivity Management with distinction, from IAU, Iran, from 2005 to 2008. His undergraduate studies include a B.Sc. in Industrial Engineering, with a specialization in Planning & System Analysis, also with distinction, completed from 2001 to 2005.

Research Interest:

Prof. Adel Hatami-Marbini’s research interests include Supply Chain Analytics, Business Analytics in Operations Management, Sustainability in Logistics and Supply Chains, Digital Supply Chain Management (with applications in healthcare, food, etc.), Quantitative and Optimization Modeling and Data Science, Logistics and Transportation, Decision Support Systems (Multi-Criteria Decision Making & Multi-Objective Decision Making methodologies), and Performance and Productivity Management.

Teaching Experience:

Prof. Adel Hatami-Marbini has been actively involved in teaching and supervising various modules at Huddersfield Business School and De Montfort University. At Huddersfield Business School since 2023, he has supervised the Individual Research Project for 15 students, led the Group Consultancy Project, taught Project Management, Research Methods, and served as Module Leader for Data Analysis and Visualization and Supply Chain Planning and Control. During his time at De Montfort University from 2019 to 2023, Prof. Hatami-Marbini served as Module Leader for Operations and Service Quality Management for postgraduate students (300 students) and Global Operations and Supply Chain Management for undergraduate students (250 students). He also supervised the Dissertation Module for both postgraduate and undergraduate students.

Publications:

A Hatami-Marbini, A Emrouznejad, M Tavana. “A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making.” European Journal of Operational Research 214 (3), 457-472. (2011), 521 citations.

A Hatami-Marbini, M Tavana. “An extension of the Electre I method for group decision-making under a fuzzy environment.” Omega 39 (4), 373-386. (2011), 395 citations.

S Saati, A Hatami-Marbini, A Makui. “Group decision making using Fuzzy TOPSIS.” Journal of Operational Research and its Applications 4 (13), 21–34. (2007), 351 citations.

M Tavana, A Hatami-Marbini. “A group AHP-TOPSIS framework for human spaceflight mission planning at NASA.” Expert Systems with Applications 38 (11), 13588-13603. (2011), 202 citations.

A Hatami-Marbini, M Tavana, M Moradi, F Kangi. “A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities.” Safety Science 51 (1), 414-426. (2013), 175 citations.

AH Shokouhi, A Hatami-Marbini, M Tavana, S Saati. “A robust optimization approach for imprecise data envelopment analysis.” Computers & Industrial Engineering 59 (3), 387-397. (2010), 153 citations.

A Hatami-Marbini, F Kangi. “An extension of fuzzy TOPSIS for a group decision making with an application to Tehran stock exchange.” Applied Soft Computing 52, 1084-1097. (2017), 152 citations.

 

 

Dr. Punithavathi Rasappan | Sentiment Analysis | Women Researcher Award

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Dr. Punithavathi Rasappan | Sentiment Analysis | Women Researcher Award

Professor and Head at Sentiment Analysis, Chettinad College of Engineering & Technology, Karur, 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:

Education 📚

Dr. Punithavathi Rasappan has a Ph.D. in Computer Science and Engineering from Anna University, Chennai, which she pursued part-time and received high commendation. She also holds a Master of Engineering in Computer Science and Engineering from the College of Engineering, Guindy Campus, Anna University, Chennai, where she graduated with a CGPA of 8.279 out of 10, achieving first-class distinction. Her undergraduate degree is a Bachelor of Engineering in Computer Science and Engineering from the Government College of Technology, Coimbatore, Bharathiar University, Coimbatore, where she obtained a remarkable 75.94% and graduated with first-class distinction.

Experience:

Dr. Punithavathi Rasappan has been serving as a Professor and Head of the Department of Artificial Intelligence & Data Science at Chettinad College of Engineering & Technology, Karur, Tamil Nadu, India, since February 2024. In this role, she supports the management in decision-making, teaches regular student lectures, designs and organizes summer and winter value-added courses with job relevance, encourages faculty to present papers in national/international conferences and journals, organizes national-level seminars/workshops on recent trends, arranges and guides B.Tech AI DS final semester projects, organizes national-level students’ technical symposiums, and guides student mini-projects.

Areas of Specializations:

Dr. Punithavathi Rasappan specializes in Mobile Computing, Mobile Agents and Network Security, and Data Science.

Award Received:

Dr. Punithavathi Rasappan received the MTC Global Distinguished Teacher Award in Computer Science and Information Technology for the year 2019 at the 9th World Education Summit in Bangalore on September 7, 2019. She also received the Best Coordinator award in the state of Tamil Nadu from ICT Academy in 2020 and 2023Expert

Memberships:

Dr. Punithavathi Rasappan has served in various expert roles, including acting as a reviewer for reputed journals and as an Anna University Representative for Subject Expert in Ph.D open viva at Anna University, Chennai. She has also served as an Anna University Representative for Theory Examinations and as a Squad member during Anna University Examinations. Additionally, she has served as Chief Examiner for Theory Examinations Paper Evaluation and as an Examiner (Internal / External) for Practical and Project Viva Voce at Anna University, Chennai. She has also been a member of the CSE/IT Department Faculty Selection Committee.

Publications:

  1. Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks
    G. Kadiravan, P. Sujatha, T. Asvany, R. Punithavathi, M. Elhoseny et al.
    Computers, Materials & Continua 66 (3), 3215–3231 (2020)
    Citations: 30
  2. Computer vision and deep learning-enabled weed detection model for precision agriculture
    R Punithavathi, ADC Rani, KR Sughashini, C Kurangi, M Nirmala, …
    Comput. Syst. Sci. Eng 44 (3), 2759-2774 (2023)
    Citations: 22
  3. Hybrid BWO-IACO Algorithm for Cluster Based Routing in Wireless Sensor Networks
    CK R. Punithavathi
    Computers, Materials & Continua 69 (1), 433-449 (2021)
    Citations: 15
  4. Secure Content Based Image Retrieval System Using Deep Learning With Multi Share Creation Scheme In Cloud Environment
    A Punithavathi, R. Punithavathi, Ramalingam
    Multimedia Tools Appl 14 (2021)
    Citations: 14
  5. An optimized solution for mobile computing environment
    RP K Duraiswamy
    International Conference on Computing, Communication and Networking, 2008 … (2008)
    Citations: 11
  6. Crypto Hash Based Malware Detection in IoMT Framework
    R Punithavathi, K Venkatachalam, M Masud, AZ Mohammed A, …
    Intelligent Automation & Soft Computing 34 (1), 559-573 (2022)
    Citations: 7
  7. Robust Node Localization with Intrusion Detection for Wireless Sensor Networks
    NKS R. Punithavathi, R. Thanga Selvi, R. Latha, G. Kadiravan, V. Srikanth
    Intelligent automation and soft computing 33 (1), 143-156 (2022)
    Citations: 7
  8. A Fault Tolerant Mobile Agent Information Retrieval System
    R Punithavathi, K Duraiswamy
    Journal of Computer Science 6 (5), 553-556 (2010)
    Citations: 7
  9. Empirical investigation for predicting depression from different machine learning based voice recognition techniques
    R Punithavathi, M Sharmila, T Avudaiappan, I Raj, S Kanchana, SA Mamo
    Evidence-Based Complementary and Alternative Medicine 2022 (2022)
    Citations: 5
  10. Protecting Data Mobility in Cloud Networks Using Metadata Security
    MS R. Punithavathi, M. Kowsigan, R. Shanthakumari, Miodrag Zivkovic, Nebojsa …
    Computer Systems Science and Engineering 42 (1), 105-120 (2021)
    Citations: 5

 

 

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. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

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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.

 

 

Ms. Brittany Ho | Machine Learning | Best Researcher Award

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Ms. Brittany Ho | Machine Learning | Best Researcher Award

Ph.D. Scholar at Climate Change , Beijing Normal University, China

👨‍🎓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:

Education:

Brittany Ho is currently pursuing a Bachelor of Science in Computer Science at the University of the Pacific, with an anticipated graduation date in Fall 2024. She has consistently achieved high academic performance, earning a place on the Dean’s Honor Roll with a GPA of 3.88 out of 4.00. Brittany’s coursework has focused on areas relevant to her field, including Artificial Intelligence, Computer Game Technologies, Computer Systems & Networks, and Analytics Computing Data Science. Her dedication to her studies and her coursework selection demonstrate her commitment to gaining a well-rounded understanding of computer science 🎓.

Skills:

Ms. Brittany Ho is proficient in several programming languages, including Java (advanced), C++ (advanced), Python (intermediate), Swift (beginner), and R (beginner). Her technical skills extend to working with relational databases, the MQTT protocol, the Linux operating system, GPT 3.5 Turbo, Logic Pro, and Unity. Additionally, she holds certifications and has completed training in various areas such as IP Addressing (LinkedIn), Cloud Computing (Coursera), Arduino Foundation (LinkedIn), MacOS System Administrators (LinkedIn), Unity Essentials (Unity), C# with Unity (LinkedIn), Social and Behavioral Research (CITI), and Learning Deep Learning (NVIDIA). 🖥️📊🔧

Projects and Research:

Ms. Brittany Ho has been making significant contributions in her roles. As a Performance Engineer Intern at NVIDIA Corporation, she is involved in comprehensive GPU performance benchmarking for High-Performance Computing (HPC) and Deep Learning (DL) frameworks and applications. Her responsibilities include developing Python scripts for automating testing and collaborating with the engineering team to troubleshoot and resolve performance issues, gaining valuable hands-on experience in problem-solving. Additionally, at the University of the Pacific, as a Research Assistant, she has played a pivotal role in developing an advanced NLP and Generative AI tool using Python and GPT 3.5 Turbo, contributing to a book chapter on “Machine Learning in Educational Sciences,” and leading a journal publication on ChatGPT integration in an NLP framework for targeted user review analysis. 🚀🔬👩‍💻

 

 

Mr.Syamasudha Veeragandham | Deep learning | Best Researcher Award

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Mr.Syamasudha Veeragandham| Deep learning | Best Researcher Award

Research Scholar, Vellore Institute of technology, Vellore

👨‍🎓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:

EDUCATION:

The user is currently pursuing a full-time Ph.D. in the School of Computer Science and Engineering at Vellore Institute of Technology-Vellore, starting from July 2019. They have previously completed an M.Tech in Computer Science and Engineering from PBR Visvodaya Institute of Technology, Kavali, affiliated with J.N.T.U.A, A.P, with an aggregate of 74.07% in 2011. Their undergraduate degree is a B.Tech in Computer Science and Engineering from Chadalawada Ramanamma Engineering College, Tirupati, with an aggregate of 60.78% in 2009. They completed their Intermediate education in M.P.C from Sri Sai Junior College, Kavali, with a percentage of 87.1% in 2005, and their SSC from Z.P.H. School, Gudlur, with a percentage of 61.00% in 2003.

EXPERIENCE:

The user has accumulated 8 years of teaching experience as an Assistant Professor in the CSE department at various institutions, including Annamacharya Institute of Technology & Sciences-Tirupati, Sree Rama Engineering College-Tirupati, and Ramireddy Subbaramireddy Engineering College-Kavali. They have been ratified as an assistant professor from JNTU-Anathapuramu. Their teaching portfolio includes a wide range of subjects at both undergraduate and postgraduate levels, such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Organization, Microprocessors and interfacing, Computer Graphics, Data Mining, Data Warehousing, Discrete Mathematics (MFCS), C-Programming, Data Structures, Advanced Computer Network, and Java and Web Technologies. Additionally, they have guided numerous B.Tech and M.Tech projects, with 12 and 5 projects guided, respectively. In addition to teaching, they have taken on various administrative responsibilities, including acting as an in-charge for CO’S, PO’S, PSO’S, PEO’S in NBA and NAAC, as well as serving as a time-table in-charge, class in-charge, and project coordinator.

Syamasudha Veeragandham ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 33, Since 2018: 31
  • Citations: 33 (All), 31 (Since 2018)
  • h-index: 4 (All), 4 (Since 2018)
  • i10-index: 1 (All), 1 (Since 2018)

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

WORKSHOPS ATTENDED:

The user has actively participated in a wide array of workshops and training sessions covering diverse topics. These include sessions on Virtualization and Cloud Computing, Implementation of ICT in Engineering Education, Design of Experiments-Research Orientation, Industrial IoT training using LoRaWAN Technology, Deep drive into Machine Learning Algorithms for Natural Language Processing, Machine Learning for IOT Data Analysis using Raspberry pi and Tensor flow, Deep Learning Concepts with Convolutional Neural Network, Deep Drive in Cloud computing and hands-on Kubernetes, Effective Tools and Methodologies for NLP and Computational Linguistics, Emerging Trends and Research Directions in Cryptography and Information Security, Laughter yoga-The Hilarious Stress Buster, IoT in Cybersecurity, Accreditation: Its Benefits –Multidisciplinary approach, Mathematica for Education & Research, Developing Blockchain-based Smart Contracts on Ethereum using Solidity Language, Web 3.0 and Semantic Web, Statistical tools for effective research, Addressing challenges in medical image processing using Deep learning techniques, an Online user awareness session to demonstrate Springer Nature platforms, Fitness is your wealth, FOP-HR Policies, Avoiding Common Errors in English, Assessment of Python programming using MoodleCoderunner/VPL, Recent trends in Machine/Deep Learning for Computer Vision and Biomedical Applications, AI Tools for Scientific writing, Machine Learning and Deep Learning techniques in applied research, and A practical approach to real-world problems using AI and Deep Learning.

RESOURCE PERSON:

The user has actively contributed as a resource person at several engineering colleges, where they conducted training sessions for faculty members on Outcome-Based Curriculum, Cooperative and Collaborative Learning, Designing Question Papers, and Outcome-Based Assessment. Their engagements included sessions at Annamacharya Institute of Technology and Sciences-Tirupati, Nalla Narasimha Reddy Education Society’s Group of Institutions-Hyderabad, and Sree Venkateswara College of Engineering-Nellore.

CERTIFICATIONS ON OUTCOME BASED EDUCATION:

The user has actively pursued professional development in the field of education and curriculum design. They completed the IUCEE International Engineering Educator Certification program in three phases through APSSDC from January 2018 to July 2018. Additionally, they attended a one-week workshop on Curriculum Design, Measurement, and Evaluation through NITTTR-Kolkata from November 22, 2016, to November 27, 2016. They also participated in a one-week workshop on Outcome-Based Education and accreditation through NITTTR-Kolkata from September 24, 2018, to September 28, 2018. Furthermore, they attended a one-week workshop on Evaluating Students’ Performance and Designing Question Papers through NITTTR-Kolkata from February 25, 2019, to March 1, 2019.

Publications:

A review on the role of machine learning in agriculture

  • Published in Energy in 2020 with 11 citations.

A detailed review on challenges and imperatives of various CNN algorithms in weed detection

  • Published in Energy in 2021 with 8 citations.

Role of IoT, image processing and machine learning techniques in weed detection: a review

  • Published in Energy in 2022 with 6 citations.

Effectiveness of convolutional layers in pre-trained models for classifying common weeds in groundnut and corn crops

  • Published in Energy in 2022 with 4 citations.

The Solutions of SQL Injection Vulnerability in Web Application Security

  • Published in Energy in 2019 with 2 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.