Research Scholar at College of Engineering Guindy, Anna University, India

G. Umaa Mahesswari is a highly motivated research scholar from Chennai, India, with a passion for innovation and technology. With a solid foundation in Computer Science, her academic journey spans from her B.E. at R.M.K College to a Ph.D. at Anna University, specializing in Big Data Analytics. Umaa has worked on significant projects like IoT-based air pollution detection and digital inscription readers for ancient Tamil stone inscriptions. A recipient of the prestigious Anna Research Fellowship, she is dedicated to leveraging technology for social good. Her technical expertise and passion for research make her a valuable asset in the R&D domain.

Profile

ORCID Profile

Education 📘🎓

Bachelor of Engineering (B.E.) in Computer Science from R.M.K College of Engineering and Technology, Chennai (2015-2019), with a CGPA of 8.65.Master of Engineering (M.E.) in Computer Science with a Specialization in Big Data Analytics from College of Engineering, Guindy, Anna University, Chennai (2019-2021), with a CGPA of 9.07.Ph.D. in Computer Science from College of Engineering, Guindy, Anna University (2023-present).Completed the Google Data Analytics Professional Specialization Course via Coursera (2021), enhancing her skills in data-driven problem-solving.

Experience 💼📊

Research Project Assistant at Tamil Virtual Academy (2022), working on the development of an inscription reader for ancient Tamil temple inscriptions, supervised by Dr. P. Uma Maheswari.Undergraduate project on IoT-based air pollution detection and analysis, focusing on real-time data collection and environmental monitoring.Postgraduate project on predictive analytics for plastic disposal by Walmart India, contributing to sustainable business solutions.Proficient in machine learning, data visualization, and SQL, with significant contributions to the field of Big Data Analytics.

Awards and Honors 🏆🎖

Academic Topper in the third year of her B.E. program, demonstrating her dedication to academic excellence.Nominee for Best Outgoing Student Award at the end of her undergraduate studies.Prize winner in several intra-college cultural competitions, showcasing her versatility beyond academics.Anna Research Fellowship Holder from 2023 to 2025, awarded in recognition of her research potential in Big Data Analytics.Published academic papers in esteemed venues like Springer ICTIS and Computer Society of India, highlighting her contributions to the academic community.

Research Focus 🔍💡

Umaa Mahesswari’s research focuses on leveraging Big Data Analytics, Machine Learning, and Deep Learning to solve pressing societal challenges. Her projects span diverse areas such as IoT-based environmental monitoring, predictive analytics for waste management, and digital solutions for heritage preservation (Tamil inscriptions). She aims to develop data-driven solutions that improve sustainability and drive innovation. Her ongoing Ph.D. research explores pattern recognition and data visualization techniques to extract meaningful insights from large datasets, with the goal of enhancing decision-making processes in both academic and practical settings.

Conclusion

G. Umaa Mahesswari is an exceptional candidate for the Best Scholar Award due to her innovative research, academic achievements, and technical expertise. By further broadening her research scope and international collaborations, she could elevate her already impressive profile and contribute even more profoundly to the global research community.

JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

Posted on 06/03/202406/03/2024 by ScienceFather

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:

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
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
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
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
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
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
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
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

Posted on 24/02/202424/02/2024 by ScienceFather

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:

Google Scholar

👨‍🎓 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:

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
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
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
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
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
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
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

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Posted on 24/02/2024 by ScienceFather

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Profesor Titular de Universidad at Mechatronics, Universidad de Huelva, Spain

Dr. Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, and holds a Master’s Degree in University Teaching, along with a PhD in Systems Engineering and Automatics from UHU. He has been actively involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). He also contributed to a specific project at the Higher Council for Scientific Research (CSIC) in 2003/04. Dr. Sanguino was a member of the research group “Robotic and High Energy Astrophysics” (TIC-189) as part of the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently affiliated with the research group “Control and Robotics” (TEP192). Additionally, he founded the Spin-off company “OnuRobotics” between 2009 and 2012, which received awards from the Ministry of Innovation and Science (CICE) of the Andalusian Government and the “Creara” training plan (50K Companies).

Professional Profiles:

Education:

Tomás Mateo Sanguino holds a Ph.D. from the University of Huelva, which he obtained in 2010. Prior to his doctoral studies, he completed a Master’s in University Teaching at the University of Huelva in 2008. His academic journey began with a degree in Electronics Engineering from the University of Granada in 2001.

Research Projects:

V Jornadas ScienCity 2022 – Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes, Funding body: FECYT, Junta de Andalucía, Universidad de Huelva, Cátedra de Innovación Social de Aguas de Huelva, Cátedra de la Provincia. Date: 01/12/2021 – 30/06/2023. Principal investigator: T.J. Mateo Sanguino. Total amount: 14,000 €.Improving Road Safety Using Photoluminescent Signage and Fog Computing, Funding body: Junta de Andalucía – Programa de Ayudas a la I+D+i en el Ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020). Participating entities: Universidad de Huelva, Universidad de Algarve (Portugal), Instituto Politécnico de Beja (Portugal). Date: 30 months. Principal investigator: T.J. Mateo Sanguino. Total.

Patents:

Dr. Tomás Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, holds a Master’s Degree in University Teaching, and earned his Ph.D. in Systems Engineering and Automatics from the University of Huelva (UHU). He has been involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). In 2003/04, he was hired for a specific project or service at the Higher Council for Scientific Research (CSIC). Dr. Mateo Sanguino was part of the research group “Robotic and High Energy Astrophysics” (TIC-189) under the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at the UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently a member of the research group “Control and Robotics” (TEP192) at UHU. Additionally, he was a founder of a Spin-off called “OnuRobotics” between 2009 and 2012, which received two prizes: one from the Ministry of Innovation and Science (CICE) of the Andalusian Government and another from the “Creara” training plan for 50K Companies.

Professional Experience:

Dr. Tomás Mateo Sanguino has held various significant roles throughout his career. He is currently the Director at the Virtual Teaching Service at the University of Huelva, a position he has held since July 11, 2021. Prior to this, he served as the Deputy Director at the Department of Electronic Engineering, Computer Systems, and Automatics, starting from October 1, 2014. Dr. Mateo Sanguino has been an Instructor of the CISCO Certified Networking Association (CCNA) program since 2007, receiving honors as an Advanced Level Instructor of Excellence from the Cisco Networking Academy in 2013, and honors as an Instructor after 10 Years of Service in 2018.

Achievements:

In his academic and research career, Dr. Mateo Sanguino has also been a member of the Research Commission of the Strategic Plan 2012-2015 and served as the Vice-Rector for Research at the University of Huelva from September 30, 2011. He completed a postdoctoral stay at École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, starting from June 1, 2011, with a duration of 3.5 months, focusing on the research theme of an augmented reality interface for a telepresence robot. Additionally, he received the CICE award granted by the Ministry of Innovation and Science of the Andalusian Government, totaling 3000 €, and enrollment in the ‘Creara’ entrepreneur program (Business 50 K), totaling 2000 €, in 2008.

Publications:

Localization and broadband follow-up of the gravitational-wave transient GW150914
- Authors: BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, …
- Journal: The Astrophysical Journal Letters
- Volume: 826
- Issue: 1
- Pages: L13
- Citations: 295
- Year: 2016
The burst observer and optical transient exploring system (BOOTES)
- Authors: AJ Castro-Tirado, J Soldán, M Bernas, P Páta, T Rezek, R Hudec, …
- Journal: Astronomy and Astrophysics Supplement Series
- Volume: 138
- Issue: 3
- Pages: 583-585
- Citations: 110
- Year: 1999
Diseño de laboratorios virtuales y/o remotos. Un caso práctico
- Authors: JMA Márquez, TJM Sanguino
- Journal: Revista Iberoamericana de Automática e Informática Industrial RIAI
- Volume: 7
- Issue: 1
- Pages: 64-72
- Citations: 88
- Year: 2010
GRB 050509b: the elusive optical/nIR/mm afterglow of a short-duration GRB
- Authors: AJ Castro-Tirado, A de Ugarte Postigo, J Gorosabel, T Fathkullin, …
- Journal: Astronomy and Astrophysics
- Volume: 439
- Issue: 2
- Pages: 15-18
- Citations: 77
- Year: 2005
Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time
- Authors: JM Lozano Dominguez, TJ Mateo Sanguino
- Journal: Sensors
- Volume: 19
- Issue: 12
- Pages: 2756
- Citations: 76
- Year: 2019
The development of the Spanish Fireball Network using a new all-sky CCD system
- Authors: JM Trigo-Rodríguez, AJ Castro-Tirado, J Llorca, J Fabregat, VJ Martínez, …
- Journal: Earth, Moon, and Planets
- Volume: 95
- Issue: 1
- Pages: 553-567
- Citations: 68
- Year: 2004
50 years of rovers for planetary exploration: A retrospective review for future directions
- Author: TJ Mateo Sanguino
- Journal: Robotics and Autonomous Systems
- Volume: 94
- Pages: 172-185
- Citations: 65
- Year: 2017
Building the BOOTES world-wide Network of Robotic telescopes
- Authors: AJ Castro-Tirado, M Jelínek, J Gorosabel, P Kubánek, R Cunniffe, S Guziy, …
- Conference: Astronomical Society of India Conference Series
- Volume: 7
- Pages: 313-320
- Citations: 60
- Year: 2012
RTS2 — Remote Telescope System, 2nd Version
- Authors: P Kubánek, M Jelínek, M Nekola, M Topinka, J Štrobl, R Hudec, …
- Journal: AIP Conference Proceedings
- Volume: 727
- Issue: 1
- Pages: 753-756
- Citations: 60
- Year: 2004
Smart Host Microcontroller for Optimal Battery Charging in a Solar-Powered Robotic Vehicle
- Authors: TJ Mateo Sanguino, JE Gonzalez Ramos
- Journal: IEEE-ASME Transactions on Mechatronics
- Volume: 18
- Issue: 3
- Pages: 1039-1049
- Citations: 44
- Year: 2013

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

Posted on 17/02/2024 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.

Prof Dr. Tony Quek | Networking | Best Researcher Award

Posted on 14/02/2024 by ScienceFather

Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓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:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

Enhanced intercell interference coordination challenges in heterogeneous networks
- Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
- Citations: 1306
- Year: 2011
Federated learning with differential privacy: Algorithms and performance analysis
- Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
- Citations: 1244
- Year: 2020
Offloading in mobile edge computing: Task allocation and computational frequency scaling
- Authors: TQ Dinh, J Tang, QD La, TQS Quek
- Citations: 881
- Year: 2017
Energy efficient heterogeneous cellular networks
- Authors: YS Soh, TQS Quek, M Kountouris, H Shin
- Citations: 676
- Year: 2013
Sensor OpenFlow: Enabling software-defined wireless sensor networks
- Authors: T Luo, HP Tan, TQS Quek
- Citations: 614
- Year: 2012
Scheduling policies for federated learning in wireless networks
- Authors: HH Yang, Z Liu, TQS Quek, HV Poor
- Citations: 522
- Year: 2019

Dr. Punithavathi Rasappan | Sentiment Analysis | Women Researcher Award

Posted on 13/02/202414/02/2024 by ScienceFather

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.

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:

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
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
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
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
An optimized solution for mobile computing environment
RP K Duraiswamy
International Conference on Computing, Communication and Networking, 2008 … (2008)
Citations: 11
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
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
A Fault Tolerant Mobile Agent Information Retrieval System
R Punithavathi, K Duraiswamy
Journal of Computer Science 6 (5), 553-556 (2010)
Citations: 7
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
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

Posted on 07/02/202407/02/2024 by ScienceFather

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

Associate Professor at Computer Science, NIT Sikkim, India

🔬 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.

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:

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
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
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:

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

Posted on 29/01/202429/01/2024 by ScienceFather

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

🔬 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.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

Ms. Brittany Ho | Machine Learning | Best Researcher Award

Posted on 23/01/2024 by ScienceFather

Ms. Brittany Ho | Machine Learning | Best Researcher Award

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

🔬 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.

Professional Profiles:

Scopus Profile

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. 🚀🔬👩‍💻