Nalayini C M | Blockchain Machine learning and Deep Learning | Best Researcher Award

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Nalayini C M | Blockchain Machine learning and Deep Learning | Best Researcher Award

Mrs Nalayini C M Velammal Engineering College, India

Mrs. C. M. Nalayini is currently working as an Assistant Professor in the department of Information Technology at Velammal Engineering College. Her teaching experience is 18.8 years in total. She is pursuing her Ph.D degree in Information and Communication Engineering at Anna University, Chennai, India. Her current research interest includes Network Security, Machine Learning, Deep Learning and Blockchain Technologies. She has published many books such as Programming in C, Data Structures, and published notes in vidyarthiplus for the welfare of the students. She has publishes many book chapters in Springer Lecture series. She has published many research articles in International journals and Conferences. She acted as resource person for various events such as Seminar on Cloud, Workshops on Artificial Intelligence, Machine Learning and Exploring Blockchain and Faculty Development Programs on Blockchain Technologies. She has also given Computer Trainings to various Government School Students for the welfare of the student community. She has completed courses such as CCNA, Network Security, Database Management Systems, Blockchain and its applications. She has conducted various events such as Seminars, Workshops, Faculty Development Programs, National Conference, Guest Lectures, Quiz Competitions and Project Competitions etc. She has won best paper award for the Blockchain research paper. Faculty Ambassador for the Hyperledger India Chapter Student Society-VEC chapter.

🌐 Profile Links:

Education:

Mrs. C. M. Nalayini is currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India, while serving as an Assistant Professor in the department of Information Technology at Velammal Engineering College. With a total teaching experience of 18.8 years, she has dedicated herself to academic excellence. Her research interests lie in Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini has authored several books, including “Programming in C” and “Data Structures,” and has contributed notes on vidyarthiplus for student welfare. She has also published numerous book chapters in the Springer Lecture series and research articles in international journals and conferences. Committed to sharing her knowledge, Mrs. Nalayini has served as a resource person for seminars, workshops, and faculty development programs on various topics, including Cloud Computing, Artificial Intelligence, and Blockchain. She has also conducted computer training sessions for government school students, demonstrating her dedication to the broader community. Additionally, Mrs. Nalayini has completed courses in CCNA, Network Security, Database Management Systems, and Blockchain applications, further enhancing her expertise in the field.

Experience:

With 18.8 years of teaching experience, Mrs. C. M. Nalayini brings a wealth of knowledge and expertise to her role as Assistant Professor in the department of Information Technology at Velammal Engineering College. Alongside her teaching responsibilities, Mrs. Nalayini is deeply engaged in research, currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India. Her research interests span various domains, including Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini is a prolific author, having published numerous books and book chapters, as well as research articles in international journals and conferences. She is actively involved in academic events, serving as a resource person for seminars, workshops, and faculty development programs. Mrs. Nalayini’s commitment to student welfare extends beyond the classroom, as evidenced by her efforts to provide computer training to government school students. Her dedication to advancing knowledge and fostering academic excellence has earned her recognition, including the prestigious Faculty Ambassador role for the Hyperledger India Chapter Student Society-VEC chapter and the Best Paper Award for her Blockchain research paper.

Publications:

  1. Intrusion Detection in Cyber Physical Systems Using Multichain, Malware Analysis and Intrusion Detection in Cyber-Physical Systems Published By : 2023
  2. A New IDS for Detecting DDoS Attacks in Wireless Networks using Spotted Hyena Optimization and Fuzzy Temporal CNN, Journal of Internet Technology Published By : 2023
  3. A Study on Digital Signature in Blockchain Technology Published By : 2023
  4. Placement Analysis for Students using Machine Learning”,  Journal of Information Technology and Digital World Published By : 2023
  5. Biometric based Mobile Voting Application. Journal of Information Technology and Digital World Published By : 2023
  6. Identification of Leaf Disease Using Machine Learning Algorithm—CNN”, Lecture Notes in Networks and Systems   Published By : 2023
  7. Deterrence of Accident Using IoT”,Journal of Trends in Computer Science and Smart Technology Published By : 2023
  8. Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm”,  ICSMDI 2022,Smart Data Intelligence. Algorithms for Intelligent Systems. Springer, Singapore Published By : 2022
  9. Identification and Detection of Credit Card Frauds Using CNN. In: Mishra, M., Kesswani, N., Brigui, I. (eds) Applications of Computational Intelligence in Management & Mathematics. ICCM 2022. Springer Proceedings in Mathematics & Statistics, vol 417. Springer, Cham Published By : 2023
  10. A Comparative Analysis of Standard Classifiers with CHDTC to Detect Credit Card Fraudulent Transactions. In: Sivasubramanian, A., Shastry, in Electrical Engineering, vol 792. Springer, Singapore Published By : 2022

Vishal Trivedi | Analytics and Reporting | Best Researcher Award

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Vishal Trivedi | Analytics and Reporting | Best Researcher Award

Prof Vishal Trivedi IIT Guwahati, India 

He completed his BSc in Biology from the University of Lucknow, India, in 1999, followed by an MSc in Biochemistry from the same university, where he graduated as a Gold medalist in 2000. Continuing his academic journey, he pursued his PhD as a student at the Department of Molecular & Structural Biology at the Central Drug Research Institute, Lucknow, India, from 2001 to 2005. Afterward, he embarked on a Post-Doc position at the Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA, working with Prof. Axel Nohturfft from 2005 to 2006.

Education:

In 1999, he earned his BSc in Biology from the University of Lucknow, Lucknow, India, laying the foundation for his academic pursuits. Building upon his undergraduate studies, he pursued an MSc in Biochemistry from the University of Lucknow, where he distinguished himself as a Gold medalist in 2000. Driven by a passion for research, he embarked on a journey toward his PhD, which he completed in 2005 at Jawaharlal Nehru University, New Delhi, India. His doctoral research was conducted at the Central Drug Research Institute, Lucknow, India, reflecting his commitment to exploring the frontiers of science. Throughout his academic journey, he demonstrated a remarkable dedication to advancing his field, acquiring a comprehensive understanding of biology and biochemistry. His achievements signify not only his academic prowess but also his perseverance and dedication to scientific inquiry. With a solid foundation in biological sciences and an impressive academic track record, he continues to contribute to the advancement of knowledge in his field, leaving an indelible mark on the scientific community.

🌐 Profile Links:

Experience:

He began his academic journey as a PhD student at the Department of Molecular & Structural Biology, Central Drug Research Institute, Lucknow, India, from 2001 to 2005. Following this, he pursued Post-Doctoral research at the Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA, under the guidance of Prof. Axel Nohturfft, from 2005 to 2006. Continuing his research pursuits, he undertook another Post-Doc position at the Molecular Oncology Research Institute, Tufts Medical Centre, Tufts University, Boston, MA, USA, working with Prof. Athan Kuliopulos from 2006 to 2009. In 2009, he joined the Indian Institute of Technology-Guwahati, Guwahati, Assam, India, as an Assistant Professor in the Department of Biotechnology, where he served until 2014 when he was promoted to Associate Professor. In June 2018, he further advanced his academic career by assuming the role of Professor in the Department of Biosciences and Bioengineering at the Indian Institute of Technology-Guwahati, Guwahati, Assam, India.

Honor and Awards:

He was honored with the Prof P. S. Krishnan Gold Medal from the University of Lucknow, India, in 2000, followed by a Junior Research Fellowship from the Council of Scientific and Industrial Research, India, in 2001. In 2002, he successfully cleared the Graduate Aptitude Talent Examination. Continuing his academic journey, he received a Senior Research Fellowship from the Council of Scientific and Industrial Research, India, in 2003, along with the Best Publication Award from the Central Drug Research Institute, Lucknow, India, in the same year. His achievements were further recognized with the Young Scientist Award from the Society of Biological Chemistry, India, in 2005, and subsequent honors including the Young Scientist Award from the Department of Atomic Energy, Government of India, in 2010, and the Young Scientist Award from the National Academy of Sciences-India (NASI) in 2011.

Publications:

  1. Crystal Structure of Binary and Ternary Complexes of Serine Hydroxymethyl-transferase from B.Stearothermophilus: Insights into the Catalytic Mechanism Cited By : 72, Published By : 2002
  2. Structure-Based Drug Design : Synthesis, Crystal Structure, Biological Evalution and Docking Studies of Mono- and Bis-Benzo[b] Oxepines as Non-steroidal estrogens Cited By : 28, Published By : 2003
  3. Role of Lys-226 in the Catalytic Mechanism of Bacillus Stearothermophilus Serine Hydroxymethyl-transferase – Crystal Structure  and Kinetic Studies. Cited By : 5, Published By : 2005
  4. Purification and Biochemical Characterization of a Heme Containing Peroxidase from the Human Parasite Cited By : 11, Published By : 2005
  5. Mechanism of Horseradish Peroxidase – Catalyzed Heme Oxidation and Polymerization (β–Hematin formation) Cited By : 9, Published By : 2005
  6. Clotrimazole Inhibits Hemo- Peroxidase of P. falciparum and Induces Oxidative Stress : Proposed Antimalarial Mechanism of Clotrimazole.  Cited By : 56, Published By : 2005
  7. Differential Requirements for Actin Polymerization, Calmodulin and  Ca2+ Define Distinct Stages of Lysosome/Phagosome Targeting Cited By : 19, Published By : 2006
  8. Immunoglobin G Signaling Activates Phagosome/Lysosome Targeting. Cited By : 42, Published By : 2008 
  9. A Cell-Free Scintillation Proximity Assay for Studies on Lysosome-to-Phagosome Targeting Published By : 2007
  10. MUC1 Oncoprotein activates the IkB kinase β Complex and Constitute NF-κB Signaling Published By : 2007

Khubaib Ahmed Qureshi | Machine Learning | Member

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Khubaib Ahmed Qureshi | Machine Learning | Member

Dr Khubaib Ahmed Qureshi Institute of Business Management, Pakistan

Dr Khubaib Ahmed Qureshi received his PhD degree from DHA Suffa University. He worked with Twitter as a research partner. He is affiliated with the Department of Computer Science, IoBM, as an Assistant Professor. He served DHA Suffa University for 10 years and was also the Head of the Data Science Program. He was the Head of the Computer Science Department, HIMS, Hamdard University, Karachi. He has 24 years of comprehensive research and teaching experience, continuing research in the area of computer science named data science, complex networks, and social computing. He has authored several research articles along with chapters in different books.

Education:

He holds a Ph.D. in Data Science from DHA Suffa University, where he conducted research on “Automatic Credibility Assessment of Information over Social Networks,” achieving a commendable CGPA of 3.89. Prior to his doctoral studies, he earned an M. Phill in Data Engineering from SZABIST, securing the top position with a remarkable CGPA of 3.75. His academic journey includes a Master’s in Computer Science (M.C.S) specializing in Software Engineering from SZABIST, where he was recognized as a scholarship holder and awarded the gold medal for his outstanding performance, attaining a CGPA of 3.9. He also holds a Bachelor’s in Computer Science (B.C.S) from Petroman (SALU), where he excelled with a percentage of 76.94%. His educational foundation began with a Higher Secondary Certificate (HSC) in Pre-Engineering and a Secondary School Certificate (SSC) in Science from Karachi Board in 1993 and 1991, respectively.

Experience:

He is an Assistant Professor in the Computer Science Department, where he teaches a diverse range of subjects to undergraduate students, including Data Science, Social Network Analysis (SNA), Machine Learning (ML), Information Retrieval (IR), Database Management (DB), Operating Systems (OS), Information Technology and Communication (ITC), Enterprise Resource Planning (ERP), Management Information Systems (MIS), Software Engineering (SE), and Programming Fundamentals, among others. Additionally, he serves as a Technology Consultant for Corbit Solutions, a technology solution provider, offering his expertise in various technological domains. Moreover, he holds the role of Technical Advisor at DAW Medical University, where he advises on the Digital Research Library Project. Prior to his current positions, he served as the Head of the IT Department and Associate Professor at Hamdard University’s Hamdard Institute of Management Sciences (HIMS) from December 1999 to August 2013. During his tenure at HIMS, he taught subjects like Customer Relationship Management (CRM), Supply Chain Management (SCM), Enterprise Resource Planning (ERP) with Oracle Financials, Business Intelligence, Visual Basic (V.B), Relational Database Management Systems (RDBMS), Oracle/Developer, System Analysis and Design (SAD), Management Information Systems (MIS), Microsoft Access (MS Access), Decision Support Systems (DSS), Management Support Systems (MSS), Information Technology in Business, and Operating Systems (OS) to MBA/BBA students, while also providing various services to the institute.

🌐 Profile Links:

Publications:

  1. Explainable tweet credibility ranker: A comprehensive credibility solution Published By : 2023

  2. Deception detection on social media: A source-based perspective Cited By : 5, Published By : 2022

  3. A Knowledge Graph-Based Framework for Integrated Network-Centric Warfare Strategies for Cyber-Physical-Social World Published By : 2022

  4. Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter Cited By : 17, Published By : 2021

  5. Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation Cited By : 9, Published By : 2021

  6. Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text Cited By : 28, Published By : 2021

  7. Mobile database computing performance related issues and recommendations with adoptable object oriented model of mobile database management system Published By : 2011

 

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

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Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naïve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

🌐 Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Abdulbaghi Ghaderzadeh | Future analysis | Member

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Abdulbaghi Ghaderzadeh | Future analysis | Member

Dr Abdulbaghi Ghaderzadeh Islamic AZAD University, sanandaj Branch, Iran

With a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, and a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, he is an accomplished academic with a passion for computer science. His expertise extends to lecturing in computer science at various esteemed universities in Saudi Arabia, such as King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. At Islamic Azad University, he has demonstrated his proficiency in teaching advanced topics including operating systems, distributed systems, database systems, and software engineering. His dedication to education and his depth of knowledge make him a valued asset in the field of computer science and engineering.

Education:

He holds a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, complemented by a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, and a Bachelor of Science in Computer Science from the University of Tabriz, Tabriz. His academic journey is underscored by notable theses, including his Ph.D. thesis on “Management of Distributed System Performance based on Local Information,” his Master’s thesis on “Personalization of Search Engines as a Way to Improve Their Performance,” and his Bachelor’s thesis on “System File Security in Unix and Windows Operating Systems.” With several papers published in prestigious journals and conferences such as Telecommunication Systems, Journal of Network and Computer Applications, and Journal of Advances in Computer Research, he has contributed significantly to the field of software engineering and information technology.

🌐 Profile Links:

Experience:

He has served as a Lecturer of Computer Science across multiple esteemed universities in Saudi Arabia, namely King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. His professional background extends to designing and implementing software solutions for diverse organizations, ranging from container systems for shipbuilding to educational portals for universities. With extensive teaching tenure at Islamic Azad University, he has delivered courses covering advanced topics such as operating systems, distributed systems, database systems, and software engineering. Furthermore, his teaching portfolio includes instructing computer literacy and programming tailored for medical and laboratory sciences at Kurdistan University of Medical Sciences.

Honors and Awards:

Received awards for designing educational portals and supervising student teams, Abdulbaghi Ghaderzadeh has been recognized for contributions to student olympiads and academic festivals. Overall, he possesses a robust academic background and extensive experience in teaching, research, and software engineering. His significant contributions to the field are evident through his publications, teaching endeavors, and practical projects.

Publications:

  1. A fuzzy approach for optimal placement of IoT applications in fog-cloud computing Cited By : 23, Published By : 2022
  2. ReDePoly: reducing delays in multi-channel P2P live streaming systems using distributed intelligence  Cited By : 10, Published By : 2018
  3. Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments Cited By : 9, Published By : 2021
  4. A Multi-Objective online streaming Multi-Label feature selection using mutual information Cited By : 8, Published By : 2023
  5. Infred: intelligent free rider detection in collaborative distributed systems Cited By : 6, Published By : 2017
  6. A novel hybrid medical data compression using huffman coding and LZW in IoT Cited By : 5, Published By : 2022
  7. Improving Ranking Persian Subjects in Search Engine Using Fuzzy Inference System Cited By : 4, Published By : 2013
  8. HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks Cited By : 3, Published By : 2021
  9. Offering a Demand-Based Charging Method Using the GBO Algorithm and Fuzzy Logic in the WRSN for Wireless Power Transfer by UAV Cited By : 2, Published By : 2023
  10. DisTriB: Distributed trust management model based on gossip learning and Bayesian networks in collaborative computing systems Cited By : 2, Published By : 2016

 

 

Shaeela Ayesha | Machine Learning | Member

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Shaeela Ayesha | Machine Learning | Member

Shaeela Ayesha Government College University Faisalabad, Pakistan

Dr. Shaeela Ayesha has passed her M.Sc and MS Computer Science from University of Agriculture, Faisalabad. She completed her PHD Computer Science from Government College University, Faisalabad. She has several publications in different journals. She also published two book chapters with renowned publishers. Based on Scopus Preview two of her best from publications have been nominated for this event. At present, she is working as a reviewer with many well reputed high impact factor journals. Her research interests include: Machine Learning, Pattern Recognition, Big Data Analytics, Data and Text Mining, Data and Information Fusion, and Health Informatics.

Education:

She completed her early education with distinction, graduating from the Metric Arts Group in Faisalabad Board in 2001. Continuing her academic journey, she pursued intermediate studies in Economics, Physical Education, and Arabic, achieving further excellence from the Faisalabad Board in 2003. Subsequently, she obtained her Bachelor’s degree in Economics, Computer Science, and Arabic (Optional) from the University of Punjab, Lahore, in 2005. Building upon her undergraduate studies, she earned a Master of Science in Computer Science (CS) from the University of Agriculture, Faisalabad, in 2007, specializing in Database Management System. Further advancing her expertise, she completed her M.S. in Computer Science with a specialization in Database Management System from the same university in 2010. Undeterred in her pursuit of knowledge, she attained her Ph.D. in Computer Science from Govt. College University, Faisalabad, graduating with top honors in 2022. Throughout her academic journey, she has consistently demonstrated dedication and excellence in her field of study.

🌐 Profile Links:

Experience:

She served as a Lecturer in Computer Science at Government College (W) Kharkhan Bazzar Faisalabad from September 15, 2007, to April 15, 2008. Since September 12, 2009, she has been working as an SST (Secondary School Teacher) in Computer Science at Government High School 103/RB, Faisalabad, continuing her dedication to education and fostering the learning of computer science among students.

Awards and Honors:

She was awarded a laptop through the Shahbaz Sharif Youth Initiative Program, a commendable recognition of her achievements and contributions. This program, initiated by Shahbaz Sharif, aims to empower the youth by providing them with essential tools and resources to excel in their academic and professional endeavors. The laptop award serves as a testament to her hard work, dedication, and potential, acknowledging her as a promising individual deserving of support and encouragement. With this laptop, she is equipped to further her education, pursue her goals, and make meaningful contributions to society. It reflects her commitment to personal and academic growth, as well as her determination to utilize technology for positive impact. This recognition underscores her value as a motivated and capable individual, poised to make a difference in her community and beyond.

Publications:

  1. Performance Enhancement of Predictive Analytics for Health Informatics Using Dimensionality Reduction Techniques and Fusion Frameworks Published By : 2021
  2. Overview and comparative study of dimensionality reduction techniques for high dimensional data Published By : 2021
  3. Text mining: techniques, applications and issues  Published By : 2021
  4. A multi-agent framework for data extraction, transformation and loading in data warehouse Published By : 2016
  5. Impact and Usage of Internet in Educational Community in Pakistan  Published By : 2010
  6. Data mining model for higher education system Published By : 2010

 

Mohammad Khalooei | Robust Machine learning

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Mohammad Khalooei – Leading Researcher in Robust Machine learning

Congratulations, Mr Mohammad Khalooei, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Mr Mohammad Khalooei, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amirkabir University of Technology, Iran. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

📚 Education:

He is currently a Ph.D. candidate in Computer Engineering (Artificial Intelligence) at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, a position he has held since 2017. Under the supervision of Prof. Mohammad Mehdi Homayounpour and Dr. Maryam Amirmazlaghani, he is actively engaged in advancing his research in the field of Artificial Intelligence. Prior to this, he earned his MSc in Computer Engineering (Artificial Intelligence) from the same institution, graduating in 2017 with an outstanding GPA of 18.79/20. During his master’s program, he worked under the guidance of Prof. Dr. Mohammad Fakhredanesh and Dr. Mohammad Sabokrou, focusing on dominant and rare event detection and localization in video using deep learning methods. His remarkable academic achievements were acknowledged with the first rank among all computer engineering students at the university since 2015.

Before pursuing his master’s degree, he completed his BSc in Computer Engineering (Software Engineering) at Vali-e-Asr University of Rafsanjan, Kerman, Iran, from 2011 to 2015. With a GPA of 17.54/20, he excelled in his academic endeavors. His undergraduate thesis, conducted under the supervision of Dr. Seyyed Mojtaba Sabbagh, Mr. Alireza Mohammadi, and Mis. Fahimeh Dabbaghi, involved replacing the Differential Evolution, Particle Swarm Optimization, and an adaptive Markov Chain Monte Carlo simulation algorithms in the Hydrus modeling project. Notably, he achieved the top position among all computer engineering students at the university from 2011 onwards.

His educational journey began with a Diploma in Mathematics and Physics at Shohada10 High School in Kerman, Iran, where he completed his studies from 1997 to 2011.

🌐 Profile Links:

Awards and Honors:

2020 Full scholarship award at CIFAR Deep Learning and Reinforcement Learning Summer School hosted by CIFAR and Mila, with participation and support from Amii and the Vector Institute.  2020 Invited to attend the Microsoft Research Frontiers in Machine Learning 2020 virtual event. 2020 Reviewer of the International Conference on Learning Representations (ICLR).  2020 Reviewer of the International Conference on Machine Learning (ICML). 2018 Outstanding contribution award in reviewing Elsevier Pattern Recognition Letters Journal, International Association for Pattern Recognition. 2018 Best Hackathon potential Idea award at “Vision is APP to you,” Achieving the best idea of Apple Foundation Program certificate, Italy. 2018 Full scholarship award at Machine and Vision Intelligence school, International Association for Pattern Recognition, Under supervision of Prof. Alfredo Petrosino, Italy. 2017 1st of 12th, Achieving the highest GPA among all Artificial intelligence students at MUT, Tehran, IRAN.

Experience: 

Fall 2019 Teacher Assistant, Speech and audio Signal Processing, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Prof. Mohammad Mehdi Homayounpour. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi.  2019 Lecturer, Robustness of Deep Neural Networks, Sharif University of Technology, Winter Seminar Series (WSS) workshop. Spring 2019 Teacher Assistant, Convex Optimization, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Maryam Amirmazlaghani. 2019 Speaker, Adversarial Machine learning, Amirkabir University of Technology (Tehran Polytechnic), AAIC competition workshop. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 🗣 2018 Speaker, Machine learning in a life of points landscape, Amirkabir University of Technology (Tehran Polytechnic).

Research Experiences:

2017-Now Theoretical and practical research on defending against Adversarial Attack towards Deep Neural Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Theoretical research on Optimization of Generative Adversarial Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on Self-Attention Generative Adversarial Network, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on hot topic of Neural network papers (CycleGAN, UNet), Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Project Experiences: 🗣

2019 Generating Adversarial Examples for Speech Recognition, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Representational space visualization, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Chief Technology Officer (CTO), 5th Amirkabir Artificial Intelligence competitions, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Artificial Intelligence and the Future of Public Policy of IRAN, National Elites Foundation, Tehran, Iran.

Computer Skills:

  • Languages: Python, Java, C/C++, C#, MATLAB, Linux Shell Script. 🛡
  • Adversarial ML: AdverTorch, CleverHans, Foolbox, IBM-ART. 🤖
  • Deep learning: PyTorch, TensorFlow, Keras. 🌐 Large scale ML: Apache Mahout, Spark MLlib.

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

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Dr Paulraj D –  Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

👩‍🏫 Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

🌐 Profile Links:

🔍 Skills:

  • Faculty Communication
  • Curriculum and Syllabus Planning and Development
  • Technology-based Curriculum Development
  • Board of Study Member
  • Performance Assessment
  • Classroom Management
  • Academic Research and Analysis
  • Student Research Guidance
  • Online Learning Tools
  • Thesis Advisement
  • Student Counseling

📚 Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

👩‍🎓 Experience:

  • Professor (Jun 15, 2022 – Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
  • Professor & Head of the Department (Nov 23, 2016 – Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
  • Professor (Nov 2012 – Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Associate Professor (Jun 2009 – Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Software Engineer (Jul 1995 – Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
  • Software Engineer (Oct 1993 – Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

🏆 Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

📊 Research:

  1. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
  2. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
  3. D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

👩‍💼 Responsibilities at Present Institution:

  • Professor of Computer Science and Engineering.
  • Anna University Recognized Research Supervisor.
  • Coordinator Internal Hackathon.
  • Sports Convenor.
  • Institution Level NBA Coordinator.
  • IQAC Member.
  • NPTEL SPOC.
  • External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

🏆 Awards and Honors:

  • 2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
  • 2012: Men Engineers Award, IET, Chennai Network.
  • 2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
  • 2005: Board of Study Member, Kannur University.
  • 2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.