2022 Conference Committees
Dr. Hasan Ali Khattak, School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Pakistan
He is currently serving as Associate Professor - School of Electrical Engineering and Computer Science, National University of Sciences and Technology - Pakistan since October 2020. His current research interests focus on Future Internet Architectures such as the Web of Things and leveraging Data Sciences and Social Engineering for Future Smart Cities. Along with publishing in good research venues and completing successful funded National and International funded projects, he is also serving as a reviewer in reputed venues such as IEEE Access, IEEE Network Magazine, IEEE Consumer Electronics, Hindawi, SAI, IET, and a few national publishers. He is currently involved in several funded research projects in various domains such as Healthcare Information Management, Semantic Web of Things, and Fog Computing while exploring Ontologies and other Semantic Web Technologies. He has worked on Contiki OS, NS 2/3, and Omnet++ frameworks. His perspective research areas are the application of Machine Learning and Data Sciences for improving and enhancing Quality of life in Smart Urban Spaces, especially in the Healthcare and Transportation domain through Knowledge management, predictive analysis, and visualization. He is an active Senior Member of IEEE, a professional member of ACM, and a member of societies such as IEEE ComSoc, IEEE VTS, and Internet Society. So far, Dr. Hasan Ali Khattak has published more than 80 works, including journal and conference papers, and reviewed more than 40 papers.
For more details: https://orcid.org/0000-0002-8198-9265/print
Prof. Dr. Asadi Srinivasulu, IT & Head Research, Data Science Research Lab, BlueCrest University, Monrovia, United Kingdom.
He has 19 years of teaching and industrial experience. He served as the Head, Department of Information Technology, S.V College of Engineering, and Tirupati during 2007-2009. He has 07 IBM Professional Certifications to his credit such as RAD, RFT, DB2, RTC, TDS, LOTUS Domino and WID. He has 02 Microsoft, 03 edX, 02 TechGig Professional Certifications, 02 Cybrary Micro Certifications, 02 uDemy Certifications on Python, 02 Solo Learn certifications on C++, 09 NPTEL Certifications and 04 Spoken Tutorial Project Certifications from IITBombay. His area of interest includes Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, and Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning and Software Engineering. He is a professional member of IEEE, SCOPUS ID: 37090240400, Web of Science ResearcherID: B9382-2018, CSI, ACM, ISTE, IAENG, IACSIT, ICST, SCIEI, VSRDIJ, NASSCOM, ASDF, Meetingfora and ICA (Indian Congress Association). He is an Editorial Board member of i-manager’s Journal on Cloud Computing (JCC), SCIERA Journal of Computers and International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE), Editorial Member of Journal of Advances in Management Sciences & Information Systems. Associate Editor of International Journal of Research Innovations in Engineering Education. He is a professional reviewer of Springer Nature, World Journal of Engineering, IEEE, Springer, Elsevier, Inderscience, Hindawi, CSI, Journal of Advances in Management Sciences & Information Systems (JAMSIS-USA), Data Mining & Knowledge Management, IAENG and VSRD-CSIT. He has published more than 195 papers (12 SCI, 15 Scopus & WOS, remaining UGC listed) in International Journals and Conferences. He has attended more than 196 Workshops, Symposiums and Seminars. He has conducted and acted as resource person for more than 115 International or National Conferences, Workshops, Symposiums and Seminars. He has published 05 Text Books, 03(Data Science Applications, Machine Learning Techniques, Methodologies for Software Testing), 02(Machine Learning, Data Science (Under Review)), 05 Book Chapters and obtained 02 Patents to his credit. He has 02 DST-SERB seminar Grant worth of RS. 1 Lakh and 9 Lakhs. Some of his publications are listed in digital libraries such as Springer Nature, IEEE Xplorer, Elsevier Xplorer, Springer Xplorer, SCI Indexed, Scopus, Web of Science, World Journal of Engineering, IGI Global, IJCA, Bookman International Journal (Free), IJAIS, IJCSNS, JACRIJ, DOAJ, PDF DIGITAL LIBRARY, IJCSET, IJCSIT, IJARCET, IJARCSSE, Horizon Publication, Helix, IJEECS, CSI and COGNIZANCE Journals. He has received “Bharat Vidya Ratan”, a national award from International Business Council, Delhi, on Dec 14th, 2018. He has received state ITAP-2020 award “Best IT teacher of the year" from ITAP & Tutors Pride, Hyderabad. He has received many awards such as best mentorship from IBMTGMC Challenge Contest and Microsoft in 2011 & 2012, best SPOC of NPTELSWAYAM; best SPOC of STP-IIT Bombay in 2019, best mentor Internship award from Internshala-AICTE, Delhi, in 2019. Best International Scientific Researcher award from Research India Foundation (RIF) in 2022. He visited many countries like Malaysia, Thailand, Singapore and Liberia.
For more details:https://liberia.bluecrestcollege.com/2-2.php?opt=1019
Dr. Mohd Naved, Program Leader, Amity University, Noida, India.
Dr. Mohd Naved is a machine learning consultant and researcher, currently teaching in Amity University (Noida), India for various degree programs in Analytics and Machine Learning. He is actively engaged in academic research on various topics in management as well as on 21st century technologies. He has published 35+ research papers in reputed journals (SCI/Scopus Indexed). He has 16 patents in AI/ML and actively engage in commercialization of innovative products developed at university level. His interview has been published in various national and international magazines. A former data scientist, he is an alumnus of Delhi University. He holds a PhD from Noida International University.
For more details: https://orcid.org/0000-0003-3357-9947
Prof. Dr. C. Sundar, Department of CSE, Christian College of Engineering and Technology, Oddanchatram, India.
Dr. C. Sundar is a Professor of Computer Science and Engineering, Christian college of Engineering and Technology, Oddanchatram, Tamilnadu, India. He has around 20 years of academic experience in engineering college. He received his Ph.D. degree from Information and Communication Engineering, Anna University, Chennai in 2013.He has produced 6 doctorates and currently guiding 5 research scholars. He has organized 5 international conferences, 7 seminars and 10 workshops. He published more than 60 research papers in reputed national and international journals. His area of interest includes Image processing, Network security, web mining and big data.
For more details: https://drive.google.com/open?id=1Ks4-NEqT35-QNE0gMAK0IAQxII9smJUi
Technical Program Chairs
Assist. Prof. Dr. S.R Ashokkumar, Sri Eshwar College of Engineering, Coimbatore, India.
Dr. S.R.Ashokkumar obtained his doctoral degree from Anna University, Chennai and obtained master degree from PSNA College of Engineering and Technology, Anna University, Chennai. Main Research direction engaged in Signal Processing, Image Processing and Machine learning Techniques. He has published more than 20 papers, including 6 papers with SCI and EI retrieval. In addition, he obtained 2 national invention patents.
For more details: https://orcid.org/0000-0001-7171-3313
Dr. Jiafu Su, A.P. at National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, China.
Post-doc at School of Management and Economics, University of Electronic Science and Technology of China, China
For more details: https://scholar.google.com.hk/citations?hl=zh-CN&user=YkGKD4YAAAAJ
Prof. Dr. Zair Bouzidi, Bejaia University, Algeria.
Zair Bouzidi is a team leader of Sophia Antipolis Research Facility. Meanwhile, he is a Level 3 Research Associate at Economics and Development Laboratory Research Facility. He has received his Ph. D on Computer Science from University of Constantine in Algeria, and serves as an Associate Professor at University of Béjaia. Also he is a Member of the Project PRFU N; C00L07UN100120180001, Entiteled: Contribution au développement des villes intelligentes (2018-2021).
His research focuses on the design and development of an Automated Learning Environment, interfaced with social media and Big Data for the Management of Disasters, natural or anthropogenic. This space can be used for Marketing Strategies, Fraud detection, Financial Times Series Forecasting, Environmental Sustainability, Energy Efficiency, Clean Production, and so on. their Theoretical advancements included, on the one hand, neural learning, including deep learning to improve the retrieval of relevant information with multiple sources. On the other side, we have Big Data, Smart Data in particular with streaming.
His research interests include: P2P, Sensor Networks, Internet of Things, Artificial Intelligence, Neural Networks, Deep Learning, Social Networks, Big Data, Smart Data, Disaster Management, Fake News.
For more details: https://2icml.net/static/files/ZairBouzidi.pdf
Prof. Dr. Brahim Lejdel, University of El-Oued, Algeria.
Brahim Lejdel is currently a Full Professor in the Faculty of Exact Sciences, University of EL-Oued (Algeria). He has held a Magister Degree in Computer Science from University of Ouargla since 2009. He held his PhD in computer science in 2015. He is the author of more than 120 published articles in refereed journals and International Conferences. He publishes four books in his research domain. He is the chair of many international conferences. He works as an invited editor, reviewer, and others in many journals and conferences. He is the supervisor of many students in computer science in License, master and doctorate.
For more details:
Conference Program Chairs
Dr. Liaquat Ali Rahoo, Mehran University of Engineering and Technology, Jamshoro, Pakistan.
For more details: https://orcid.org/0000-0001-6915-8808
Dr. Noman Sohail, Yanshan University, China.
Noman Sohail's experience appears to be focused on Information Technology, with exposure to Data mining, Healthcare, and Market Research. His work experience includes with several years of tenure in management and academics including a high-level position.
Further, his research work carefully examines good research practices for the prediction, development, implementation, analysis, and evaluation of preference methods by utilizing machine learning and statistical approaches to ensure achieving high-quality standard results. He has published several research articles in international conferences and peer-reviewed Journals, with a high impact factor rate. His publication and results in these topics have been widely cited and applied by researchers and industries. In addition, some of his findings have been selected as the best in international conferences. His work has been cited various times at Google scholar and achieved the good H-index (≥10).
Moreover, by utilizing both his research expertise and experience as a peer reviewer at highly peer-reviewed journals, he is well prepared to serve as the Associate Professor and Editor positions with leading organizations and scientific journals.
For more details: https://scholar.google.com/citations?user=FzWht28AAAAJ&hl=en
Dr. Hamzeh MUjahed, Faculty of Technology and Applied Sciences, Al-Quds Open University Hebron, Palestine.
Hamzeh Mujahed is working at Faculty of Technology and Applied Sciences at Al-Quds Open University. He has obtained his PhD degree with thesis entitled "Graph Indices on Grids" in 2016, in the PhD programme of Applied Mathematics and Computer Science at Eastern Mediterranean University, Famagusta, Turkish Republic of North Cyprus. His research field is to compute graph indices on crystal structure related graphs, Graph Theory.
For more details: https://scholar.google.com/citations?user=Cmdn9Q4AAAAJ&hl=en
Prof. Dr. M. Sunil Kumar, Department of Computer Science Department, Sree Vidyanikethan Engineering College Autonomous, India.
Dr. M Sunil Kumar has completed Ph.D in Computer Science and Engineering, S.V.University, TIRUPATI. M.Tech in Computer Science from JNT University. B.Tech in Computer Science & Information Technology from JNT University. He is currently working as Professor in the Department of CSE, Sree Vidyanikethan Engineering College, A. Rangampet, Tirupati, A.P. His main research interest includes Software Engineering, Software Architecture, Information Retrieval and Database Management Systems.
For more details: https://in.linkedin.com/in/dr-m-sunil-kumar-b720bb50
Assist. Prof. M.P.Karthikeyan, School of CS and IT, Jain University, India.
He is presently working as Assistant Professor, School of Computer Science and Information Technology, Jain (Deemed to be University), Bangalore, India. His area of Specialization Machine Learning and Deep Learning. He obtained his Bachelors in Computer Science, from Sree Saraswathi Thyayagaraja College, Pollachi. He obtained his MCA, from Sree Saraswathi Thyayagaraja College, Pollachi. He Pursuing his PhD in Computer Science from Sri SRNM College, Sattur in the area of Query Optimization in Deep Reinforcement Learning. He Completed Industry Integrated Course Machine Learning and Deep Learning from Nunnari Labs, Coimbatore. He has published 4 Indian Patents. He has acted as resource person for DBT Sponsored workshop on “Big data Analytics using Machine Learning Techniques”. He has authored and coauthored over 20 research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE, Springer and Elsevier Conference proceeding. He is a co-author of 1 book and 8 books Chapters. He has presented various papers at international conferences. He has Completed more than 50 Online Course in Coursera, LinkedIn, etc. He is an IEEE Member and Member of Computer Society of India (CSI). He is a Board Studies Member for Various Autonomous Institutions and Question Paper Setter for Various Colleges. He acted as a Resource Person for Several Institutions.
For more details: https://scholar.google.com/citations?user=PmrW4JAAAAAJ&hl=zh-CN&oi=ao
Mr. Behrouz Pourghebleh, Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Mr. Behrouz Pourghebleh is a researcher at Young Researchers and Elite Club of Islamic Azad University. His research interests include Cloud Computing, Internet of Things, Optimization, and Wireless Sensor Networks. He also serves as a reviewer for various journals such as IEEE Internet of Things Journal, SN Applied Sciences, Expert Systems with Applications, and International Journal of Communication Systems.
For more details: https://orcid.org/0000-0001-7209-6302
Dr. Oveis Abedinia, Electrical and Computer Engineering, Nazarbayev University, Kazakhstan
He joins to Budapest University of Technology and Economics in 2015 as Post-doc researcher and adjunct faculty member. In 2017 he started to construct different solar power plants in middle-east countries as project manager and then joins to Ardabil Techno-Park as Head of International Relations. Dr. Abedinia started his cooperation with Nazarbayev University from 2019 as visiting professor. He is Editor in different journals such as Complexity and guest editor in Energies. He has authored and co-authored more than 110 peer-reviewed publications (journal and conference papers), in addition to 4 book and book-chapters.
For more information: https://www.researchgate.net/profile/Oveis-Abedinia
Technical Committee and Publication Chair
Assist. Prof. Dr. Alireza Rezvanian, Department of Computer Engineering, University of Science and Culture (USC), Iran.
Alireza Rezvanian received the Ph.D. degree in Computer Engineering from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2016. Currently, he is an Assistant Professor of the Department of Computer Engineering, University of Science and Culture (USC), Tehran, Iran. Prior to the current position, he worked from 2016 to 2020 as a researcher at the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM), Tehran, Iran. He is associate editor of human-centric computing and information sciences (Q1), CAAI Transactions on Intelligence Technology (IET), and The Journal of Engineering (IET). He was a guest editor of the special issue on new applications of learning automata-based techniques in real-world environments for the journal of computational science (Elsevier). His research activities include soft computing, learning automata, complex networks, social network analysis, data mining, data science, machine learning, and evolutionary algorithms.
For more details: https://orcid.org/0000-0003-3323-7832