Pekka Malo

Professori (Associate professor)
Professori (Associate professor)
E704 Dept. Information and Service Management

Pekka Malo is a tenured Associate Professor of Statistics in the Department of Information and Service Management at Aalto University School of Business, Finland. He has a PhD degree in quantitative methods and M.Sc. degree in finance from Helsinki School of Economics. He also holds M.Sc. degree in mathematics from University of Helsinki. Before joining the department he worked as a business simulation developer at Cesim and head of research at Fosta Consulting. He has also worked as a visiting scholar in computational optimization and innovation laboratory at Michigan State University in the Depertment of Mechanical Engineering and Computer Science. His research interests include optimization, evolutionary computation, semantic information retrieval, computational statistics and machine learning, and their applications to marketing, finance, and healthcare.

Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358403538071

Areas of expertise

Machine learning, Data Science, Business analytics, Artificial intelligence, Optimization, Computational Intelligence, Multi-criteria decision analysis, Text mining, Data mining, Big data, Decision Analysis, 512 Business and management, 112 Statistics and probability, 111 Mathematics, 113 Computer and information sciences, Computational data analysis, Statistics, Applied mathematics

Honors and awards

Best paper award for the paper “Semantic Content Filtering with Wikipedia and Ontologies” in Semantic Aspects in Data Mining

Award or honor granted for a specific work Department of Information and Service Management Jan 2010

Helsinki School of Economics award for high quality thesis

Award or honor granted for a specific work Department of Information and Service Management Jan 2007

Publications

SEntFiN 1.0

Ankur Sinha, Satishwar Kedas, Rishu Kumar, Pekka Malo 2022 JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY

Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems

Aleksandre Asatiani, Pekka Malo, Per Rådberg Nagbøl, Esko Penttinen, Tapani Rinta-Kahila, Antti Salovaara 2021 Journal of the Association for Information Systems

Reinforcement Learning in Optimizing Forest Management

Pekka Malo, Olli Tahvonen, Antti Suominen, Philipp Back, Lauri Viitasaari 2021 Canadian Journal of Forest Research

Is this company a lead customer? Estimating stages of B2B buying journey

Neda B. Marvasti, Juho-Petteri Huhtala, Zeinab R. Yousefi, Iiro Vaniala, Bikesh Upreti, Pekka Malo, Samuel Kaski, Henrikki Tikkanen 2021 Industrial Marketing Management

Online content match-making in B2B markets

Bikesh Raj Upreti, Juho-Petteri Huhtala, Henrikki Tikkanen, Pekka Malo, Neda Marvasti, Samuel Kaski, Iiro Vaniala, Pekka Mattila 2021 Industrial Marketing Management

Challenges of explaining the behavior of black-box AI systems

Aleksandre Asatiani, Pekka Malo, Per Rådberg Nagbøl, Esko Penttinen, Tapani Rinta-Kahila, Antti Salovaara 2020 MIS Quarterly Executive

Towards sustainable forest management strategies with MOEAs

Philipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb 2020 Proceedings of the 2020 Genetic and Evolutionary Computation Conference

Approximate Bilevel Optimization with Population-Based Evolutionary Algorithms

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, Zhichao Lu 2020 Springer Optimization and Its Applications

Bilevel optimization based on iterative approximation of multiple mappings

Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo 2020 Journal of Heuristics

Is the potential B2B buyer interested or ready to buy? Estimating the stage of the B2B buying behavior

Neda Barzegar Marvasti, Juho-Petteri Huhtala, Zeinab Rezaei Yousefi, Bikesh Upreti, Pekka Malo, Samuel Kaski, Henrikki Tikkanen 2019