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

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

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

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

Professional Profiles:

👨‍🎓 EDUCATION AND TRAINING:

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

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

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

💼 WORK EXPERIENCE

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

🗣️ LANGUAGE SKILLS

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

🌐 DIGITAL SKILLS

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

Publications:

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

 

 

 

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

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

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

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

Professional Profiles:

Professional Experience:

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

Education:

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

Awards & Recognitions:

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

Areas of Interest:

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

 

 

 

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: