kassem Danach | Machine Learning | Excellence in Research

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Assoc Prof Dr. kassem Danach | Machine Learning | Excellence in Research

Associate Professor at Department of Information Technology and Management Systems, Faculty of Business Administration, Al Maaref University, Lebanon

Summary:

Assoc. Prof. Dr. Kassem Danach is an accomplished academic and researcher with a diverse background in computer and telecommunication engineering, business analytics, and big data. He is currently the Chairperson of the Information Technology and Management Systems Department at Al Maaref University, where he oversees academic and administrative matters, curriculum development, and faculty management. Dr. Danach completed his Ph.D. in Computer and Telecommunication Engineering at École Centrale de Lille, France, and has a postdoctoral research experience in Business Analytics from Université d’Artois, France. His research interests span operational research, business analytics, logistics, supply chain, heuristics, bioinformatics, virtual network functions, cyber-attacks, and optimization. Dr. Danach has held various academic positions at the Islamic University of Lebanon and has extensive experience in teaching, research supervision, and conference activities. He is also skilled in data science, programming, data analytics, data visualization, database administration, and online teaching. Dr. Danach is a reviewer for several prestigious conferences and scientific journals.

Profile:

Education:

Assoc. Prof. Dr. Kassem Danach has an extensive educational background. He completed a postdoctoral research program in Business Analytics at Université d’Artois, Bethune, France, from November 2020 to December 2021. He earned his Ph.D. in Computer and Telecommunication Engineering from École Centrale de Lille, France, in December 2016. Dr. Danach holds multiple Master II degrees: one in Big Data Analytics from ISAE (le CNAM Liban), expected to certify in March 2022; another in Network Engineering from the Islamic University of Lebanon, completed in 2014; and a third in Management Information Systems (MIS) from the Islamic University of Lebanon, completed in 2013. Additionally, he earned a Bachelor of Engineering in Computer and Telecommunication Engineering from the Islamic University of Lebanon in June 2008. Dr. Danach’s doctoral thesis, titled “Hyperheuristics in Logistics,” focused on the application of artificial intelligence in optimizing logistics problems through the development and comparison of various hyperheuristic frameworks.

Professional Experience:

Assoc. Prof. Dr. Kassem Danach has a rich professional background that spans academia, research, and industry. He currently serves as the Chairperson of the Information Technology and Management Systems Department at Al Maaref University since September 2023, where he leads the department in academic and administrative matters, oversees curriculum development and faculty management, and drives research initiatives and collaborations. From November 2020 to December 2021, he was a Postdoctoral Researcher at Université d’Artois, France. At the Islamic University of Lebanon, he held multiple roles, including Head of the Computer Science Department from November 2020 to 2023, Head of the Management Information System Department from November 2018 to November 2020, and full-time Lecturer at the Faculty of Economics and Business Administration from December 2014 to November 2018. He also served as the Coordinator of the Management Information System Department (Tyr branch) from October 2011 to 2014. Dr. Danach co-founded TTO-Lebanon, where he was the General Manager from June 2015 to February 2017. Earlier in his career, he worked as a Network Engineer and Developer at Danach Co – Saida from June 2008 to March 2009. Since January 2017, he has been a trainer in various fields, including data science, programming, digital marketing, and artificial intelligence, at several training centers such as CUBICWIN, Edumotion, ASD, and Global Golden/Rainbow.

Research Interests:

Assoc. Prof. Dr. Kassem Danach’s research interests encompass a diverse array of fields. He is particularly focused on Operational Research, Business Analytics, Scheduling and Routing Problems, and Logistics and Supply Chain Management. His work delves into the development and application of various heuristic, meta-heuristic, math-heuristic, and hyper-heuristic methods. Dr. Danach is also interested in the areas of Bioinformatics and Virtual Network Functions. His research extends to cybersecurity, with an emphasis on cyber-attacks and optimization. This multidisciplinary approach allows him to address complex problems in both theoretical and practical aspects of these fields.

Skills:

Assoc. Prof. Dr. Kassem Danach possesses a comprehensive skill set across multiple domains. His operational research soft skills include proficiency with Solver (Excel Add-ins), Hyflex (Java Platform), GIIHH (Java Platform), and CPLEX (under JAVA). He is adept in programming languages such as VB .Net, C# .Net, ADO .Net, ASP.Net, Labview, Python, Advanced C, Advanced JAVA, JSP, Assembly, Prolog, and Matlab. In the realm of data analytics, Dr. Danach is skilled in R language, Keras Python, TensorFlow Python, Orange Data Mining, RapidMiner, Weka, and SPSS. His data visualization capabilities extend to Microsoft Power BI, Tableau, Matplotlib Python, and Google Analytics. As a database administrator, he has expertise in Microsoft SQL Server and MySQL. Additionally, Dr. Danach is proficient in online teaching tools such as Microsoft Teams, Zoom, Edmodo, OBS, Blogger, and MindMap. This diverse array of skills underpins his multifaceted approach to research, teaching, and professional practice in the field of Computer Science and Information Technology.

Reviewing and Editorial Work:

Dr. Danach is a respected reviewer for several prestigious conferences and scientific journals, including IEEE Intelligent Transportation Systems Transactions, the International Journal of Services and Standards (IJSS), LCIS 2017-2018, ICTO 2017-2018-2023-2024, ICCTA 2018-2019-2023-2024, and the Oriental Journal of Computer Science and Technology.

Awards & Honors:

Assoc. Prof. Dr. Kassem Danach has been recognized for his outstanding contributions to the field of Computer Science and Information Technology with several awards and honors. His achievements include multiple best paper awards at international conferences, highlighting the significant impact of his research. Dr. Danach has also been honored with prestigious grants and fellowships that have supported his innovative projects and academic pursuits. Additionally, he has received accolades for his exemplary teaching and mentorship, reflecting his dedication to fostering academic excellence and guiding the next generation of scholars and professionals. These honors underscore Dr. Danach’s commitment to advancing knowledge and making substantial contributions to his field.

Publications:

Manisha Kasar | Artificial Intelligence Award | Women Researcher Award

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Dr. Manisha Kasar, Artificial Intelligence Award, Women Researcher Award

Doctorate at Bharti Vidyapeeth Deemed to be University college of Engineering, Pune, India

Dr. Manisha Kasar is a highly motivated and goal-oriented professional in the field of Information Technology (IT) and Computer Engineering. With extensive experience and expertise in her field, she has demonstrated exceptional skills in research, academia, and administration. Driven by a passion for learning and innovation, she has completed her Ph.D. in IT from Bharti Vidyapeeth College of Engineering, Pune, and holds a Master’s degree (M.Tech) in Computer Engineering from MPSTME, NMIMS, Shirpur campus.

Profile:

Education:

Ph.D. in Information Technology

  • Specialization: Information Technology
  • Institute: Bharti Vidyapeeth College of Engineering, Pune
  • University/Board: Bharti Vidyapeeth University, Pune
  • Year of Passing: 2021
  • Grade: Not specified

M.Tech in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: MPSTME, NMIMS, Shirpur campus
  • University/Board: NMIMS
  • Year of Passing: 2014
  • Grade: 3.42 out of 4.00

B.E. in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: S.S.V.P.S’s College of Engineering, Dhule
  • University/Board: N.M.U.
  • Year of Passing: 2009
  • Grade: Distinction (Highest Grade)
  • Percentage: 66.86%

D.C.E in Computer Engineering

  • Specialization: Computer Engineering
  • Institute: S.S.V.P.S’s College of Engineering & Polytechnic, Dhule
  • University/Board: M.S.B.T.E
  • Year of Passing: 2006
  • Grade: First
  • Percentage: 67.84%

H.S.C (Science)

  • Institute: S.S.V.P.S. College, Dhule
  • Board: NASIK
  • Year of Passing: 2003
  • Grade: Second
  • Percentage: 52.33%

Professional Experience:

Dr. Manisha Kasar has a rich professional experience spanning over 11 years in the field of Computer Engineering. Her journey began with her role as a Visiting Faculty at Bharti Vidyapeeth College of Engineering, Pune, where she contributed from October 2nd, 2020, to June 30th, 2021. Following this, she served as an Assistant Professor at Vishwakarma Institute of Information Technology, Pune, from July 1st, 2021, to September 30th, 2021. Currently, Dr. Kasar holds the position of Assistant Professor at Bharti Vidyapeeth College of Engineering, Pune, starting from October 1st, 2021, to the present date. Throughout her career, she has demonstrated a strong commitment to academic excellence, research innovation, and student mentorship.

Research Interest:

Dr. Manisha Kasar’s research interests lie at the intersection of computer engineering and information technology, focusing on various domains within artificial intelligence (AI), machine learning (ML), and computer vision. Her work primarily revolves around the development and application of advanced algorithms, particularly Convolutional Neural Networks (CNNs), for tasks such as image processing, facial recognition, and traffic signal detection. Additionally, she explores the potential of blockchain technology in e-commerce and secure transactions, as well as its implications for other industries. Dr. Kasar is also involved in research related to human disease prediction using machine learning techniques, aiming to leverage real-life parameters for accurate prognostication. Furthermore, her research extends to automation and optimization in video surveillance systems, comparative analysis of facial emotion recognition techniques, and the development of algorithms for facial landmark detection and feature point extraction. Overall, Dr. Kasar’s diverse research interests underscore her commitment to advancing computer engineering through innovative interdisciplinary research endeavors.

Publication Top Noted:

Human Disease Prediction using Machine Learning Techniques and Real-life Parameters
  • Authors: K Gaurav, A Kumar, P Singh, A Kumari, M Kasar, T Suryawanshi
  • Journal: International Journal of Engineering
  • Volume: 36
  • Issue: 6
  • Pages: 1092-1098
  • Year: 2023
  • Grade: 3

Comparison of Multi-View Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation

  • Authors: MJ Kasar, NS Choubey
  • Journal: International Journal of Computer Applications
  • Volume: 975
  • Pages: 8887
  • Year: 2014
  • Grade: 2

Blockart: The Blockchain Solution to E-Commerce

  • Authors: S Deshmukh, S Chaudhary, Y Kulkarni, G Bhole, S Jadhav, …
  • Journal: Eur. Chem. Bull
  • Volume: 12
  • Pages: 5505-5513
  • Year: 2023
  • Grade: 1

A Comparative Study of Interior Designing Using Markerless Augmented Reality

  • Authors: R Gudlavalleti, A Pandey, M Malviya, S Gandhi, M Kasar
  • Journal: Not provided
  • Pages: 1
  • Year: 2022

Study and Analysis of Facial Landmark Detection Techniques

  • Authors: MM Kasar, SH Patil
  • Journal: Solid State Technology
  • Volume: 63
  • Issue: 6
  • Pages: 13465-13481
  • Year: 2020
  • Grade: 1